CN112348389A

CN112348389A - Equipment capacity data processing method and device and electronic terminal

Info

Publication number: CN112348389A
Application number: CN202011284048.1A
Authority: CN
Inventors: 朱文权; 蔡文生; 裴广龙
Original assignee: Guangdong Lyric Robot Automation Co Ltd
Current assignee: Huizhou Haikui Information Technology Co ltd; Guangdong Lyric Robot Automation Co Ltd
Priority date: 2020-11-16
Filing date: 2020-11-16
Publication date: 2021-02-09
Anticipated expiration: 2040-11-16
Also published as: CN112348389B

Abstract

The application provides a method and a device for processing equipment capacity data and an electronic terminal, relates to the technical field of data processing, and solves the technical problem of capacity monitoring information loss of production equipment. The method comprises the following steps: acquiring actual production data of production equipment in a business module; processing the actual production data to obtain an actual production equipment list; comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list; and monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment.

Description

Equipment capacity data processing method and device and electronic terminal

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for processing device productivity data, and an electronic terminal.

Background

At present, with the development of society and the progress of science and technology culture, the trade between enterprises and suppliers is more frequent, and the quality requirement and the like of trade items are more strict. When the enterprise trades with the suppliers, the suppliers who cooperate need to be selected, then the suppliers provide relevant services and equipment, and the capacity tasks are completed according to cooperation requirements in time and quantity.

However, before selecting the proper supplier, the enterprise may not know which suppliers have the ability to complete the capacity task of the project, and if the supplier is selected blindly for cooperation without being clearly investigated, there may be a case that the selected supplier cannot complete the capacity task, for example, the service provided by the supplier does not meet the standard and the equipment is not qualified, which may directly affect the delivery of the project. Therefore, at present, the user cannot know the capacity information of the production equipment.

Disclosure of Invention

The present application provides a method and an apparatus for processing device capacity data, and an electronic terminal, so as to alleviate the technical problem of capacity monitoring information loss of production devices.

In a first aspect, an embodiment of the present application provides a method for processing plant capacity data, including:

acquiring actual production data of production equipment in a business module;

processing the actual production data to obtain an actual production equipment list;

comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list;

and monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment.

In one possible implementation, the method further comprises:

the final production equipment list comprises: a numerical value of the mark corresponding to the production device;

based on a first preset formula, calculating to obtain a sum through the numerical values and preset weights, wherein the numerical values and the preset weights are all corresponding to the production equipment, and the first preset formula is as follows:

A₁X₁+A₂X₂+A₃X₃+...＝B,

wherein, A represents the preset weight corresponding to the production equipment, X represents the numerical value corresponding to the production equipment, and B represents the sum obtained.

In one possible implementation, the method further comprises:

dividing the production equipment into service modules;

respectively setting preset weights for the production equipment in each business module, wherein the sum of the preset weights in the business modules is a fixed value;

establishing a first corresponding relation between the production equipment and the business module;

and establishing a second corresponding relation between the production equipment in the business module and the preset weight based on the preset weight and the first corresponding relation.

In one possible implementation, the method further comprises:

determining the preset weight of the production equipment according to an analytic hierarchy process.

In one possible implementation, the step of processing the actual production data to obtain an actual production equipment list includes:

acquiring the type of the production equipment in the service module and the quantity of the production equipment corresponding to the type;

and obtaining the actual production equipment list according to the type and the number of the production equipment.

In one possible implementation, the method further comprises:

acquiring the fault time and the planned operation time of the production equipment in the service module, and calculating to obtain the individual fault rate of the production equipment through a second preset formula based on the fault time and the planned operation time;

acquiring the total number of the production equipment in the service module, and calculating to obtain the average fault rate of the production equipment through a third preset formula based on the total number of the production equipment and the individual fault rate;

and acquiring the number of the fault shutdown devices of the production equipment in the service module, and calculating to obtain the integrity rate of the production equipment through a fourth preset formula based on the total number of the fault shutdown devices and the number of the fault shutdown devices.

In one possible implementation, obtaining the production efficiency and the production precision of the production equipment in the service module first includes:

acquiring parameters such as the processing area, the cutting length, the welding number and the like of the production equipment in the business module in unit time, and determining the production efficiency of the production equipment based on the parameters such as the processing area, the cutting length, the welding number and the like;

determining the production precision of the production equipment in the service module based on the actual geometric parameters such as the processing area, the cutting length and the like;

the step of comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list comprises the following steps:

comparing the actual production equipment list with a preset production equipment list in a corresponding business module to judge whether the production equipment in the actual production equipment list is in the preset production equipment list or not;

if the fault rate is in the preset production equipment list, judging whether the production equipment meets the standard or not according to the individual fault rate, the production efficiency and the production precision;

if the production equipment meets the standard, marking a numerical value on the production equipment;

and determining a final production equipment list according to the production equipment and the numerical value corresponding to the production equipment.

In one possible implementation, the step of calculating a sum by the numerical values and preset weights, each corresponding to the production equipment, based on a first preset formula includes:

determining the preset weight corresponding to the production equipment on the final production equipment list based on the second corresponding relation in the service module;

and respectively multiplying the preset weight and the numerical value based on a first preset formula to obtain a multiplication result, and summing the obtained multiplication results to obtain a sum.

In a possible implementation, the step of performing capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment includes:

judging whether the sum is greater than or equal to a preset threshold value corresponding to the service module;

if the sum is greater than or equal to the preset threshold value, determining that the production equipment completes the service, and obtaining capacity monitoring information of the service corresponding to the production equipment;

and if the sum is smaller than the preset threshold value, determining that the production equipment cannot complete the service, and obtaining capacity monitoring information of the service corresponding to the production equipment.

In a possible implementation, after the step of performing capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment, the method includes:

under the condition that the sum is greater than or equal to the preset threshold value, judging whether the integrity rate and the average fault rate both meet the standard;

and if the integrity rate and the average fault rate both meet the standard, determining that the productivity monitoring information is valid.

In a second aspect, there is provided an apparatus for processing plant capacity data, the apparatus comprising:

the acquisition module is used for acquiring actual production data of production equipment in the business module;

the processing module is used for processing the actual production data to obtain an actual production equipment list;

the comparison module is used for comparing the actual production equipment list with a preset production equipment list in the corresponding module to obtain a final production equipment list;

and the monitoring module is used for monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment.

In a third aspect, an embodiment of the present application further provides an electronic terminal, which includes a memory and a processor, where the memory stores a computer program that is executable on the processor, and the processor executes the computer program to implement the method in the first aspect.

In a fourth aspect, this embodiment of the present application further provides a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to perform the method of the first aspect.

The embodiment of the application brings the following beneficial effects:

according to the method, the system and the electronic terminal for processing the equipment capacity data, the actual production data of the production equipment in the service module can be acquired; processing the actual production data to obtain an actual production equipment list; comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list; and monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment. In the scheme, the received actual production data in the service module is processed to obtain an actual production equipment list, the actual production equipment list is compared with a preset production equipment list to obtain a final production equipment list, and monitoring is performed according to the final production equipment list to obtain the capacity monitoring information of the production equipment. When the actual production data changes, the obtained actual production equipment list can change along with the actual production data, the final production equipment list can also change along with the actual production equipment list, and then, capacity monitoring is carried out on the production equipment according to the final production equipment list updated in real time to obtain capacity monitoring information corresponding to the production equipment. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

Drawings

In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings needed to be used in the detailed description of the present application or the prior art description will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic flow chart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 2 is another schematic flow chart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 3 is another schematic flow chart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 4 is another schematic flow chart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 5 is another flowchart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 6 is another flowchart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 7 is another flowchart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 8 is another flowchart illustrating a method for generating capacity data of equipment according to an embodiment of the present disclosure;

FIG. 9 is a schematic diagram of an apparatus for processing plant capacity data according to an embodiment of the present disclosure;

FIG. 10 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 11 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 12 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 13 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 14 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 15 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

FIG. 16 is a schematic view of another embodiment of an apparatus for processing plant capacity data;

fig. 17 shows a schematic structural diagram of an electronic terminal provided in an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "comprising" and "having," and any variations thereof, as referred to in the embodiments of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Currently, before selecting the proper suppliers, the enterprise does not know which suppliers have the ability to complete the capacity task of the project, and if the enterprise selects the suppliers to cooperate blindly without being clearly investigated, there may be the case that the selected suppliers have no ability to complete the capacity task, for example, the service provided by the suppliers does not meet the standard and the equipment is not qualified, which directly affects the delivery of the project.

Based on this, the embodiment of the application provides a method and a device for processing equipment capacity data, and an electronic terminal, by which the technical problem of monitoring information deficiency of production equipment capacity can be solved.

Embodiments of the present application are further described below with reference to the accompanying drawings.

FIG. 1 is a flowchart illustrating a method for processing plant capacity data according to an embodiment of the present disclosure. Wherein the method can be applied to electronic terminals. As shown in fig. 1, the method includes:

step S101, acquiring actual production data of production equipment in a business module;

in the embodiment of the application, a real-time production data monitoring device may be arranged on the production equipment, for example, the real-time production data monitoring device is a peripheral monitoring device, or may be monitored in a plug-in or software manner, and then the monitored production data is uploaded to a cloud database to realize the butt joint of the production data; the service module may be a module obtained by dividing the production equipment according to different services, for example, there are multiple services, including service 1, service 2, service 3, service 4, and the like, and correspondingly, the service module may be a service 1 module, a service 2 module, a service 3 module, and a service 4 module.

Illustratively, the electronic terminal obtains actual production data for production equipment within the business 1 module.

In this step, the electronic terminal monitors the actual production data of the production equipment in real time through the real-time production data monitoring device, and obtains the actual production data of the production equipment in the service module.

Step S102, processing the actual production data to obtain an actual production equipment list;

in the embodiment of the present application, the actual production equipment list may refer to a list including actually existing production equipment, for example, the production equipment included in the actual production equipment list includes production equipment No. 1, production equipment No. 3, production equipment No. 4, and production equipment No. 5.

Illustratively, the electronic terminal processes the actual production data to obtain an actual production equipment list, wherein the actual production equipment list includes production equipment No. 1, production equipment No. 3, production equipment No. 4, and production equipment No. 5.

In this step, the electronic terminal processes the actual production data to obtain an actual production equipment list including actual production equipment.

Step S103, comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list;

in this embodiment of the application, the preset production equipment list may be a preset list including a plurality of production equipment, for example, the preset production equipment list includes production equipment No. 2, production equipment No. 3, production equipment No. 4, and production equipment No. 5.

Exemplarily, the electronic terminal compares the actual production equipment list with a preset production equipment list in the corresponding business 1 module, wherein the preset production equipment list corresponding to the business 1 module comprises production equipment No. 2, production equipment No. 3, production equipment No. 4 and production equipment No. 5;

after comparison, compared with the preset production equipment list, the actual production equipment list has more production equipment No. 1 and lacks production equipment No. 2, and the same equipment as the preset production equipment list has production equipment No. 3, production equipment No. 4 and production equipment No. 5, so that the lacking production equipment No. 2, equipment No. 3, production equipment No. 4 and production equipment No. 5 are determined as the final production equipment list.

In this step, the electronic terminal compares the actual production equipment list with the preset production equipment list in the corresponding business module, analyzes whether the actual production equipment list increases production equipment relative to the preset production equipment list, or decreases production equipment, or whether the production equipment on the actual production equipment list is exactly the same as the production equipment on the preset production equipment list, and then obtains a final production equipment list according to the analysis result.

And step S104, carrying out capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment.

In the embodiment of the present application, the capacity monitoring information may refer to that the production equipment can complete capacity, or that the production equipment cannot complete capacity, and after the information that the production equipment can complete capacity is obtained, the capacity of the production equipment that can complete capacity can be further refined, for example, excellent, good or passing is performed.

In the step, the electronic terminal monitors the productivity of the production equipment according to the sum, and can predict whether the production equipment can complete the specified productivity, so as to obtain the productivity monitoring information corresponding to the production equipment.

The method and the device can acquire actual production data of production equipment in the business module; processing the actual production data to obtain an actual production equipment list; comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list; and monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment.

In the scheme, the received actual production data in the service module is processed to obtain an actual production equipment list, the actual production equipment list is compared with a preset production equipment list to obtain a final production equipment list, and monitoring is performed according to the final production equipment list to obtain the capacity monitoring information of the production equipment. When the actual production data changes, the obtained actual production equipment list can change along with the actual production data, the final production equipment list can also change along with the actual production equipment list, and then, capacity monitoring is carried out on the production equipment according to the final production equipment list updated in real time to obtain capacity monitoring information corresponding to the production equipment. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

The above steps are described in detail below.

In some embodiments, the calculation may be performed according to a first preset formula, a preset weight of the production equipment, and a numerical value of the mark, so as to obtain a total. As an example, the equipment capacity data processing method can comprise the following steps:

step S105, the list of the final production devices includes: a numerical value of the mark corresponding to the production device;

step S106, calculating to obtain a sum through the numerical values and preset weights, which are all corresponding to the production equipment, based on a first preset formula, wherein the first preset formula is as follows:

A₁X₁+A₂X₂+A₃X₃+...＝B,

For the step S105, after comparison, compared with the preset production equipment list, the actual production equipment list has more production equipment numbers 1, lacks production equipment numbers 2, and the same equipment on the preset production equipment list has production equipment numbers 3, 4 and 5, so that the more production equipment numbers 1 are ignored, the missing production equipment numbers 2 are marked with a value 0, and the same production equipment numbers 3, 4 and 5 are marked with a value 1. Thus, the final production equipment list includes: the missing production equipment No. 2 and the value 0, the equipment No. 3 and the value 1, the production equipment No. 4 and the value 1 and the production equipment No. 5 and the value 1.

For the above step S106, in this step, the numerical value corresponding to the production equipment and the preset weight corresponding to the production equipment are substituted into a first preset formula, and the sum of the production equipment on the final production equipment list is obtained.

The embodiment of the application can include on the final production equipment list: a numerical value of the mark corresponding to the production device; based on a first preset formula, passing through all corresponding to the production equipment

The numerical value and the preset weight are calculated to obtain a sum, and the first preset formula is as follows: a. the₁X₁+A₂X₂+A₃X₃+., wherein a represents a preset weight corresponding to the production equipment, X represents a numerical value corresponding to the production equipment, and B represents the sum obtained. Therefore, the sum can be calculated according to the first preset formula, and then monitoring is carried out according to the sum to obtain the capacity monitoring information of the production equipment, so that the technical problem of capacity monitoring information loss of the production equipment can be solved.

In some embodiments, a plurality of production devices may be divided in advance, and the division criterion may be a parameter such as a service type, so as to monitor the production devices in different service modules. As an example, as shown in FIG. 2, the method for processing plant capacity data may comprise the steps of:

step S201, dividing the production equipment into service modules;

step S202, respectively setting preset weights for the production equipment in each business module, wherein the sum of the preset weights in the business modules is a fixed value;

step S203, establishing a first corresponding relation between the production equipment and the business module;

step S204, establishing a second corresponding relation between the production equipment in the business module and the preset weight based on the preset weight and the first corresponding relation.

For the step S201, in this embodiment of the application, the service module may be a module obtained by dividing the production device according to different services, for example, the service includes service 1, service 2, service 3, service 4, and the like, and correspondingly, the service module may be a service 1 module, a service 2 module, a service 3 module, and a service 4 module.

Illustratively, the electronic terminal divides the production equipment into service modules, and the obtained service modules include: a service 1 module, a service 2 module, a service 3 module and a service 4 module.

In this step, the electronic terminal divides the plurality of production devices into service modules to obtain a service module including the plurality of production devices.

For step S202, in the embodiment of the present application, when the preset weights are respectively set for the production devices in each business module, the sum of the preset weights of the production devices in each business module is a fixed value, for example, the sum of the preset weights of the production devices in each business module is 1.

Illustratively, the preset weights are set for the production devices in the business 1 module, and since the production devices in the business 1 module include production device No. 2, production device No. 3, production device No. 4, and production device No. 5, the preset weight for production device No. 2 is 0.2, the preset weight for production device No. 3 is 0.3, the preset weight for production device No. 4 is 0.1, and the preset weight for production device No. 5 is 0.4.

In this step, the electronic terminal sets a preset weight for the production equipment in each business module, and the sum of the preset weights for the production equipment in each business module is a constant value.

For the step S203, the production devices in the service 1 module exemplarily include the production device No. 2, the production device No. 3, the production device No. 4 and the production device No. 5, so that the first corresponding relationship between the production device No. 2, the production device No. 3, the production device No. 4 and the production device No. 5 and the service 1 module is established.

In this step, since the production devices are divided according to the service modules, the electronic terminal can establish a first correspondence between the production devices and the service modules.

For the above step S204, exemplarily, since the first corresponding relationship is 0.2 of the preset weight of the production device No. 2, 0.3 of the production device No. 3, 0.1 of the preset weight of the production device No. 4, and 0.4 of the preset weight of the production device No. 5 in the service 1 module, the second corresponding relationship between the production device No. 2 and the preset weight 0.2, between the production device No. 3 and the preset weight 0.3, between the production device No. 4 and the preset weight 0.1, and between the production device No. 5 and the preset weight 0.4 in the service 1 module is established.

In this step, since the preset weights are respectively set for the production devices in the service module, the electronic terminal establishes a second corresponding relationship between the production devices in the service module and the preset weights based on the preset weights and the first corresponding relationship.

The embodiment of the application can divide the production equipment into service modules; respectively setting preset weights for the production equipment in each business module, wherein the sum of the preset weights in the business modules is a fixed value; establishing a first corresponding relation between the production equipment and the business module; and establishing a second corresponding relation between the production equipment in the business module and the preset weight based on the preset weight and the first corresponding relation. Therefore, the business module to which the production equipment belongs can be distinguished according to the first corresponding relation, and the preset weight corresponding to the production equipment in the business module is further determined according to the second corresponding relation.

In some embodiments, the weights may be flexibly calculated according to a variety of methods. As an example, the following steps may be included:

In the embodiments of the present application, there are various methods for calculating the weight, such as principal component analysis (pca), Analytic Hierarchy Process (AHP), and the like. Illustratively, the weight of the production device may be determined according to an analytic hierarchy process.

According to the embodiment of the application, the weight of the production equipment can be determined according to an analytic hierarchy process, whether the corresponding business can be completed by the production equipment can be judged according to the weight, and the productivity monitoring information can be obtained. Therefore, the list of the final production equipment can be determined through the received actual production data in the service modules, and then the production equipment is monitored for productivity according to the list of the final production equipment, and the productivity monitoring information is obtained, so that the real-time productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

In some embodiments, the actual production equipment inventory may be determined based on the type and number of production equipment. As an example, as shown in fig. 3, the step S102 may include the following steps:

step S301, obtaining the type of the production equipment in the service module and the number of the production equipment corresponding to the type;

and step S302, obtaining the actual production equipment list according to the type and the number of the production equipment.

For the step S301, exemplarily, 4 types of production devices, namely, the production device No. 1, the production device No. 3, the production device No. 4, and the production device No. 5, are obtained by the electronic terminal in the service 1 module; the number of production apparatuses corresponding to the production apparatus No. 1 is 1, the number of production apparatuses corresponding to the production apparatus No. 3 is 3, the number of production apparatuses corresponding to the production apparatus No. 4 is 4, and the number of production apparatuses corresponding to the production apparatus No. 5 is 5.

In this step, the electronic terminal obtains the type of the production equipment in the service module, and obtains the number of the production equipment corresponding to the type.

For the above step S302, exemplarily, an actual production equipment list is obtained according to the production equipment No. 1, the production equipment No. 3, the production equipment No. 4, and the production equipment No. 5, and the production equipment number 1 corresponding to the production equipment No. 1, the production equipment number 3 corresponding to the production equipment No. 3, the production equipment number 4 corresponding to the production equipment No. 4, and the production equipment number 5 corresponding to the production equipment No. 5.

The embodiment of the application can acquire the type of the production equipment in the service module and the quantity of the production equipment corresponding to the type; and obtaining the actual production equipment list according to the type and the number of the production equipment. Therefore, the actual production equipment list can be determined in real time according to the type of the production equipment and the number of the production equipment corresponding to the type.

In some embodiments, the data may be processed to obtain an individual failure rate, an average failure rate, and a complete rate of the production equipment, so as to monitor the capacity of the production equipment. As an example, as shown in fig. 4, the method for processing plant capacity data may further include the steps of:

step S401, acquiring the fault time and the planned operation time of the production equipment in the service module, and calculating to obtain the individual fault rate of the production equipment through a second preset formula based on the fault time and the planned operation time;

step S402, acquiring the total number of the production equipment in the service module, and calculating to obtain the average fault rate of the production equipment through a third preset formula based on the total number and the individual fault rate;

step S403, obtaining the number of the production devices in the service module, and calculating to obtain the integrity rate of the production devices through a fourth preset formula based on the total number and the number of the production devices.

For step S401, in the embodiment of the present application, the second preset formula is: equipment failure time ÷ planned operating time ÷ individual failure rate.

Illustratively, the production devices in the business 1 module include a production device No. 1, a production device No. 3, a production device No. 4 and a production device No. 5, the electronic terminal obtains the failure time and the scheduled operation time of the production device No. 1, the production device No. 3, the production device No. 4 and the production device No. 5 respectively, and calculates the individual failure rate of the production device through a second preset formula.

In the step, the electronic terminal obtains the failure time and the planned operation time of the production equipment in the service module, and calculates the failure time of the equipment divided by the planned operation time through a second preset formula based on the failure time and the planned operation time to obtain the individual failure rate of each production equipment.

For step S402, in this embodiment of the present application, the third preset formula is: the sum of the individual fault rates ÷ total number of stations ÷ mean fault rate.

Illustratively, the electronic terminal obtains the total number of 4 production devices in the service 1 module; summing the individual fault rates of the production equipment in the service 1 module to obtain the sum of the individual fault rates; and calculating to obtain the average fault rate of the production equipment through a third preset formula based on the sum of the total number of 4 and the individual fault rates.

In the step, the electronic terminal obtains the total number of the production devices in the service module, obtains the sum of the individual fault rates of the production devices in the service module based on the individual fault rates, and further calculates the average fault rate of the production devices by dividing the sum of the individual fault rates by the total number of the production devices through a third preset formula based on the total number of the production devices and the sum of the individual fault rates.

For step S403, in the embodiment of the present application, the fourth preset formula is: (total number of stations-number of failed stations) ÷ total number of stations ═ integrity rate.

Illustratively, the number of the fault shutdown devices of the production equipment in the business 1 module obtained by the electronic terminal is 2, and based on the total number of the devices being 4 and the number of the fault shutdown devices being 2, the difference between the total number of the devices and the number of the fault shutdown devices is calculated by a fourth preset formula: 4-2 ═ 2, then the difference divided by the total number of stations was calculated: 2 ÷ 4 ═ 0.5, giving a complete rate of 0.5 for the production plant.

In the step, the electronic terminal obtains the number of the fault shutdown devices of the production equipment in the service module, and calculates the integrity rate of the production equipment through a fourth preset formula based on the total number of the fault shutdown devices and the number of the fault shutdown devices.

According to the method and the device, the failure time and the planned operation time of the production equipment in the service module are obtained, and the individual failure rate of the production equipment is calculated through a second preset formula based on the failure time and the planned operation time; acquiring the total number of the production equipment in the service module, and calculating to obtain the average fault rate of the production equipment through a third preset formula based on the total number of the production equipment and the individual fault rate; and acquiring the number of the fault shutdown devices of the production equipment in the service module, and calculating to obtain the integrity rate of the production equipment through a fourth preset formula based on the total number of the fault shutdown devices and the number of the fault shutdown devices. Therefore, the individual fault rate, the average fault rate and the integrity rate of the production equipment can be determined according to the real-time obtained actual production data and by combining the second preset formula, the third preset formula and the fourth preset formula. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

As an example, as shown in fig. 5, the method for processing the equipment capacity data may first obtain the production efficiency and the production precision of the production equipment in the business module, including:

step S501, obtaining parameters such as processing area, cutting length and welding number of the production equipment in the business module in unit time, and determining the production efficiency of the production equipment based on the parameters such as the processing area, the cutting length and the welding number;

step S502, determining the production precision of the production equipment in the service module based on the actual geometric parameters such as the processing area, the cutting length and the like;

the step S103 includes:

step S503, comparing the actual production equipment list with a preset production equipment list in a corresponding service module to judge whether the production equipment in the actual production equipment list is in the preset production equipment list;

step S504, if in the preset production equipment list, judging whether the production equipment meets the standard according to the individual fault rate, the production efficiency and the production precision;

step S505, if the production equipment meets the standard, marking a numerical value on the production equipment;

and S506, determining a final production equipment list according to the production equipment and the numerical value corresponding to the production equipment.

For the step S501, exemplarily, the production equipment in the service 1 module includes the production equipment No. 1, the production equipment No. 3, and the production equipment No. 1, and the functions of each type of equipment are different, for example, the production equipment No. 1 is responsible for the machining area, the production equipment No. 3 is responsible for the cutting length, and the production equipment No. 4 is responsible for the welding, so that the parameters of the production equipment No. 1, the production equipment No. 3, and the production equipment No. 4 in the service 1 module in unit time, such as the machining area, the cutting length, and the welding number, can be respectively obtained, and the parameters of the machining area, the cutting length, and the welding number are determined as the production efficiency of the production equipment in unit time; alternatively, the number of finished product combinations of the parts produced by the plurality of production apparatuses in the business 1 module per unit time may be acquired, and the overall production efficiency of the production apparatuses in the business 1 module per unit time may be determined.

In the step, the electronic terminal obtains parameters such as the processing area, the cutting length and the welding number of the production equipment in the business module in unit time, and determines the production efficiency of the production equipment in unit time according to the parameters such as the processing area, the cutting length and the welding number.

For the above step S502, the production accuracy illustratively includes: size precision, shape precision and position precision, size precision includes the area of processing and the length of cutting, and the shape precision includes: the shape of the cut, the positional accuracy includes: relative positions of parts to be welded;

the dimensional accuracy can be determined by a trial cut method, a sizing tool method, or the like, the shape accuracy can be determined by a tool tip trajectory method, a profiling method, or the like, and the position accuracy can be determined by a direct alignment method, a scribe alignment method, or the like.

Therefore, after the size precision, the shape precision and the position precision are determined, the production precision of the production equipment in the business module is determined.

In the step, the electronic terminal determines the production precision of the production equipment in the business module based on actual geometric parameters such as the processing area, the cutting length and the like of the production equipment during working.

For the step S503, exemplarily, the production devices on the actual production device list include production device No. 1, production device No. 3, production device No. 4, and production device No. 5, and the production devices on the preset production device list in the corresponding service module include production device No. 2, production device No. 3, production device No. 4, and production device No. 5, and the actual production device list is compared with the preset production device list.

In this step, the electronic terminal compares the actual production equipment list with the preset production equipment list in the corresponding business module to determine whether the production equipment in the actual production equipment list is in the preset production equipment list.

For the step S504, for example, the actual production equipment list has the production equipment number 1 more than the preset production equipment list, and the production equipment number 1 is ignored; the number 2 of the production equipment is lacked, and the number 2 of the production equipment is marked with a numerical value 0; the same production equipment comprises production equipment No. 3, production equipment No. 4 and production equipment No. 5, so that the production equipment No. 3, the production equipment No. 4 and the production equipment No. 5 are all in a preset production equipment list, numerical values 1 are marked on the production equipment No. 3, the production equipment No. 4 and the production equipment No. 5, then the individual fault rates of the production equipment No. 3, the production equipment No. 4 and the production equipment No. 5 are compared with an individual fault rate threshold value, the production efficiency is continuously compared with a production efficiency threshold value, the production precision is compared with a production precision threshold value, and whether the individual fault rates, the production efficiency and the production precision of the production equipment No. 3, the production equipment No. 4 and the production equipment No. 5 meet standards or not is judged respectively.

In this step, if the actual production equipment is in the preset production equipment list, the electronic terminal further determines whether the production equipment meets the standard according to the individual fault rate, the production efficiency and the production precision.

For the step S505, for example, if the number of the production equipment 3, the number of the production equipment 4 and the number of the production equipment 5 all meet the standard, the number of the production equipment 3, the number of the production equipment 4 and the number of the production equipment 5 are all marked with the numerical value 1.

If the production equipment does not meet the standard, marking the numerical value of the production equipment;

exemplarily, if the production equipment No. 3 and the production equipment No. 4 both meet the standard, marking the numerical value 1 on the production equipment No. 3 and the production equipment No. 4; production facility No. 5 does not meet the standard, and production facility No. 5 is marked with a numerical value of 0.

In this step, if the electronic terminal receives each index of the production equipment, that is, the individual failure rate, the production efficiency and the production precision all meet the standard, the electronic terminal marks the numerical value of the production equipment.

For the above step S506, exemplarily, the production device No. 2 and the value 0 corresponding to the production device No. 2, the production device No. 3 and the value 1 corresponding to the production device No. 3, the production device No. 4 and the value 1 corresponding to the production device No. 4, and the production device No. 5 and the value 1 corresponding to the production device No. 5 are determined as the final production device list.

In this step, the electronic terminal establishes a correspondence between the production device and the numerical value according to the production device and the numerical value of the mark corresponding to the production device, and then determines a final production device list according to the correspondence.

The method comprises the steps that an actual production equipment list is compared with a preset production equipment list in a corresponding business module to judge whether production equipment in the actual production equipment list is in the preset production equipment list or not; if the fault rate is in the preset production equipment list, judging whether the production equipment meets the standard or not according to the individual fault rate, the production efficiency and the production precision; if the production equipment meets the standard, marking the numerical value of the production equipment; and determining a final production equipment list according to the production equipment and the numerical value corresponding to the production equipment. Therefore, the final production equipment list can be determined by comparing the actual production equipment list with the preset production equipment list.

As an example, as shown in fig. 6, the step S106 may include the following steps:

step S601, determining the preset weight corresponding to the production equipment on the final production equipment list based on the second corresponding relation in the service module;

step S602, based on a first preset formula, multiplying the preset weight by the numerical value to obtain multiplication results, and summing the obtained multiplication results to obtain a sum.

For step S601, on the basis of the foregoing embodiment, the second corresponding relationship is a corresponding relationship between the production devices in the service module and the preset weight, so that it can be determined that the preset weight corresponding to the production device No. 2 is 0.2, the preset weight corresponding to the production device No. 3 is 0.3, the preset weight corresponding to the production device No. 4 is 0.1, and the preset weight corresponding to the production device No. 5 is 0.4.

In this step, the electronic terminal may determine preset weights respectively corresponding to the production devices on the final production device list based on the second correspondence in the service module.

For step S602 above, the final production equipment list includes: the number 2 of the production equipment corresponds to the preset weight of 0.2 and the corresponding numerical value of 0; the number 3 of the production equipment corresponds to the preset weight of 0.3 and the corresponding numerical value of 1; the number 4 of the production equipment corresponds to the preset weight of 0.1 and the corresponding numerical value of 1; the number 5 of the production equipment corresponds to the preset weight of 0.4 and the corresponding numerical value of 1; respectively multiplying the preset weight of the production equipment by a numerical value, namely:

0.2*0＝0,0.3*1＝0.3,0.1*1＝0.1,0.4*1＝0.4，

and then summing the obtained multiple multiplication results to obtain a sum, namely:

0+0.3+0.1+0.4 is 0.8, so the sum is 0.8.

In the step, the electronic terminal multiplies preset weights by numerical values respectively according to the numerical values of the marks corresponding to the production equipment to obtain multiplication results, and sums the obtained multiplication results to obtain a sum.

The embodiment of the application can determine the preset weight corresponding to the production equipment on the final production equipment list based on the second corresponding relation in the service module; and respectively multiplying the preset weight and the numerical value based on a first preset formula to obtain a multiplication result, and summing the obtained multiplication results to obtain a sum. Therefore, the sum of the production equipment on the final production equipment list can be accurately calculated according to the first preset formula, and accurate productivity monitoring information can be obtained conveniently.

As an example, as shown in fig. 7, the step S104 may include the following steps:

step S701, judging whether the sum is greater than or equal to a preset threshold value corresponding to the service module;

step S702, if the sum is greater than or equal to the preset threshold value, determining that the production equipment completes the service, and obtaining capacity monitoring information of the service corresponding to the production equipment;

step S703, if the sum is smaller than the preset threshold, determining that the production equipment cannot complete the service, and obtaining capacity monitoring information of the service corresponding to the production equipment.

For the step S701, in this embodiment of the present application, the preset threshold may be a threshold set by a system, where the threshold represents a capability standard of a production device in a service module for completing production performance, for example, the preset threshold is 0.95, and it is determined whether the sum of 0.8 is greater than or equal to the preset threshold 0.96 corresponding to the service 1 module.

In this step, since different service departments have corresponding preset thresholds, the electronic terminal determines whether the sum is greater than or equal to the preset threshold corresponding to the service module.

For the step S702, exemplarily, if the sum is 0.97, and the sum 0.97 is greater than the preset threshold value 0.96, it is determined that the production equipment can complete the service, and the capacity monitoring information of the service corresponding to the production equipment is obtained.

In this step, if the sum is greater than or equal to the preset threshold, the electronic terminal determines that the production equipment can complete the service, and obtains the capacity monitoring information of the service corresponding to the production equipment.

For the step S703, for example, if the sum 0.8 is smaller than the preset threshold 0.96, it is determined that the production equipment cannot complete the service, and the capacity monitoring information of the service corresponding to the production equipment is obtained.

In this step, if the sum is smaller than a preset threshold, the electronic terminal determines that the production equipment cannot complete the service, and obtains capacity monitoring information of the service corresponding to the production equipment.

The embodiment of the application judges whether the sum is greater than or equal to a preset threshold value corresponding to a service module; if the sum is greater than or equal to a preset threshold value, determining that the production equipment completes the service, and obtaining capacity monitoring information of the service corresponding to the production equipment; and if the sum is smaller than the preset threshold value, determining that the production equipment cannot complete the service, and obtaining the capacity monitoring information of the service corresponding to the production equipment. Therefore, corresponding productivity monitoring information can be obtained by judging whether the production equipment can complete the service. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

As an example, as shown in fig. 8, after step S104, the method includes the steps of:

step S801, judging whether the integrity rate and the average failure rate both meet the standard or not under the condition that the sum is greater than or equal to the preset threshold value;

step S802, if the integrity rate and the average failure rate both meet the standard, determining that the productivity monitoring information is valid;

step S803, if one of the integrity rate and the mean failure rate does not meet the standard, determining that the capacity monitoring information is invalid.

For the step S801, in the case that the sum is greater than or equal to the preset threshold, the integrity rate of the production equipment is compared with the integrity rate threshold, the average failure rate is compared with the average failure rate threshold, and then whether the integrity rate and the average failure rate both meet the standard is determined.

In this step, the electronic terminal further determines whether the integrity rate and the average failure rate both meet the standard, if the sum is greater than or equal to a preset threshold.

As for the step S802, in this step, if the comparison result indicates that the integrity rate and the average failure rate of the production equipment both meet the standard, the electronic terminal determines that the obtained capacity monitoring information is valid.

In step S803, if the comparison result indicates that one of the integrity rate and the mean failure rate of the production equipment does not meet the standard, the electronic terminal determines that the capacity monitoring information is invalid.

In the embodiment of the application, whether the integrity rate and the average failure rate both meet the standard is judged under the condition that the sum is greater than or equal to the preset threshold value; and if the integrity rate and the average fault rate both meet the standard, determining that the productivity monitoring information is valid. Therefore, under the condition that the productivity monitoring information that the production equipment can complete the service is obtained, whether the productivity monitoring information is effective or not can be further verified according to the integrity rate and the average fault rate, therefore, a final production equipment list can be determined according to the received actual production data in the service module, the productivity of the production equipment can be monitored according to the final production equipment list, the productivity monitoring information can be obtained, the productivity monitoring of the production equipment in different service modules can be realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

FIG. 9 is a schematic diagram of a device capacity data processing apparatus, which can be applied to an electronic terminal, and as shown in FIG. 9, the device capacity data processing apparatus 900 includes:

an obtaining module 901, configured to obtain actual production data of a production device in a business module;

a processing module 902, configured to process the actual production data to obtain an actual production equipment list;

a comparison module 903, configured to compare the actual production equipment list with a preset production equipment list in a corresponding module to obtain a final production equipment list;

and the monitoring module 904 is configured to perform capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment.

The method and the device can acquire actual production data of production equipment in the business module; processing the actual production data to obtain an actual production equipment list; comparing the actual production equipment list with a preset production equipment list in a corresponding service module to obtain a final production equipment list; and monitoring the productivity of the production equipment according to the final production equipment list to obtain the productivity monitoring information corresponding to the production equipment. In the scheme, the received actual production data in the service module is processed to obtain an actual production equipment list, the actual production equipment list is compared with a preset production equipment list to obtain a final production equipment list, and monitoring is performed according to the final production equipment list to obtain the capacity monitoring information of the production equipment. When the actual production data changes, the obtained actual production equipment list can change along with the actual production data, the final production equipment list can also change along with the actual production equipment list, and then, capacity monitoring is carried out on the production equipment according to the final production equipment list updated in real time to obtain capacity monitoring information corresponding to the production equipment. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

In some embodiments, the equipment capacity data processing apparatus 900 further comprises a calculation module 905, wherein the calculation module 905 is configured to:

A₁X₁+A₂X₂+A₃X₃+...＝B,

In some embodiments, as shown in FIG. 10, the equipment capacity data processing apparatus 900 comprises:

a dividing module 1001, configured to divide a service module for the production device;

a weight setting module 1002, configured to set preset weights for the production devices in each service module, where a sum of the preset weights in the service modules is a fixed value;

a first relationship establishing module 1003, configured to establish a first corresponding relationship between the production device and the service module;

a second relationship establishing module 1004, configured to establish a second correspondence between the production devices in the service module and the preset weight based on the preset weight and the first correspondence.

In some embodiments, the equipment capacity data processing apparatus 900 further comprises:

a first determining module 1101 for determining the preset weight of the production device according to an analytic hierarchy process.

In some embodiments, as shown in fig. 11, the processing module 902 includes:

a first obtaining module 1201, configured to obtain a type of the production device in the service module and a number of production devices corresponding to the type;

a first processing module 1202, configured to obtain the actual production equipment list according to the type and the number of the production equipment.

In some embodiments, as shown in fig. 12, the equipment capacity data processing apparatus 900 further includes:

the first calculation module 1301 is configured to obtain failure time and planned operation time of the production equipment in the service module, and calculate, based on the failure time and the planned operation time, an individual failure rate of the production equipment by using a second preset formula;

a second calculating module 1302, configured to obtain a total number of the production devices in the service module, and calculate, based on the total number and the individual failure rate, an average failure rate of the production devices through a third preset formula;

and a third calculating module 1303, configured to obtain the number of the production devices in the service module, and calculate, based on the total number of the production devices and the number of the production devices, the integrity rate of the production devices according to a fourth preset formula.

According to the embodiment of the application, actual production data can be obtained in real time, and the individual fault rate, the average fault rate and the integrity rate of the production equipment are determined by combining the second preset formula, the third preset formula and the fourth preset formula. Therefore, the final production equipment list can be determined through the received actual production data in the service modules, the productivity of the production equipment is monitored according to the final production equipment list, and the productivity monitoring information is obtained, so that the productivity monitoring of the production equipment in different service modules is realized, and the technical problem of the productivity monitoring information loss of the production equipment can be solved.

In some embodiments, as shown in fig. 13, in the apparatus, obtaining the production efficiency and the production accuracy of the production equipment in the service module first includes:

a fourth calculating module 1401, configured to obtain parameters, such as a processing area, a cutting length, and a welding number, of the production equipment in the service module in unit time, and determine the production efficiency of the production equipment based on the parameters, such as the processing area, the cutting length, and the welding number;

a fifth calculating module 1402, configured to determine the production accuracy of the production equipment in the service module based on the actual geometric parameters such as the machining area and the cutting length;

the comparison module 903 comprises:

a first determining module 1403, configured to compare the actual production equipment list with a preset production equipment list in a corresponding service module, so as to determine whether the production equipment in the actual production equipment list is in the preset production equipment list;

a second judging module 1404, configured to judge whether the production equipment meets a standard according to the individual failure rate, the production efficiency, and the production accuracy if the production equipment is in the preset production equipment list;

a marking module 1405 for marking a value to the production equipment if the production equipment meets a standard;

a second determining module 1406, configured to determine a final production equipment list according to the production equipment and the value corresponding to the production equipment.

In some embodiments, as shown in fig. 14, the calculation module 905 includes:

a third determining module 1501, configured to determine the preset weight corresponding to the production device on the final production device list based on the second corresponding relationship in the service module;

a summing module 1502, configured to multiply the preset weights and the numerical values respectively based on a first preset formula to obtain multiplication results, and sum up the obtained multiple multiplication results to obtain a sum.

In some embodiments, as shown in fig. 15, the monitoring module 904 comprises:

a third determining module 1601, configured to determine whether the sum is greater than or equal to a preset threshold corresponding to the service module;

a fourth determining module 1602, configured to determine that the production equipment completes a service if the sum is greater than or equal to the preset threshold, so as to obtain capacity monitoring information of a service corresponding to the production equipment;

a fifth determining module 1603, configured to determine that the production equipment cannot complete the service if the sum is smaller than the preset threshold, and obtain capacity monitoring information of the service corresponding to the production equipment.

In some embodiments, as shown in fig. 16, after the monitoring module 904, the following is included:

a fourth determining module 1701, configured to determine whether the integrity rate and the mean failure rate both meet a standard if the sum is greater than or equal to the preset threshold;

a sixth determining module 1702, configured to determine that the capacity monitoring information is valid if the integrity rate and the mean failure rate both meet a standard.

The device for processing the equipment capacity data provided by the embodiment of the application has the same technical characteristics as the method for processing the equipment capacity data provided by the embodiment of the application, so that the same technical problems can be solved, and the same technical effects can be achieved.

On the basis of the above embodiments, the present invention further provides a system for processing plant capacity data, wherein the execution content of the system and the method and apparatus for processing plant capacity data have the same technical features, so that the same technical problems can be solved, and the same technical effects can be achieved.

As shown in fig. 17, an electronic terminal provided in an embodiment of the present application includes a memory 2001 and a processor 2002, where a computer program operable on the processor is stored in the memory, and the processor executes the computer program to implement the steps of the method provided in the foregoing embodiment.

Referring to fig. 17, the electronic device further includes: a bus 2003 and a communication interface 2004, the processor 2002, the communication interface 2004 and the memory 2001 being connected by the bus 2003; the processor 2002 is used to execute executable modules, such as computer programs, stored in the memory 2001.

The Memory 2001 may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is implemented via at least one communication interface 2004 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc.

Bus 2003 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 17, but that does not indicate only one bus or one type of bus.

The memory 2001 is used for storing a program, and the processor 2002 executes the program after receiving an execution instruction, and the method performed by the apparatus defined by the process disclosed in any of the foregoing embodiments may be applied to the processor 2002, or implemented by the processor 2002.

The processor 2002 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 2002. The Processor 2002 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 2001, and the processor 2002 reads information in the memory 2001, and completes the steps of the above method in combination with hardware thereof.

In accordance with the above-mentioned equipment capacity data processing method, an embodiment of the present application further provides a computer-readable storage medium, in which computer executable instructions are stored, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the steps of the above-mentioned equipment capacity data processing method.

The equipment capacity data processing system provided by the embodiment of the application can be specific hardware on the equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

For another example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method for processing capacity data of a device according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. a device capacity data processing method, is characterized in that, comprises:

Obtain the actual production data of the production equipment in the business module;

Process the actual production data to obtain a list of actual production equipment;

Comparing the actual production equipment list with the preset production equipment list in the corresponding business module to obtain a final production equipment list;

Perform capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment.

2. The method for processing equipment capacity data according to claim 1, wherein the method further comprises:

The final production equipment list includes: marked values corresponding to the production equipment;

Based on the first preset formula, the sum is calculated by the numerical values and preset weights corresponding to the production equipment. The first preset formula is as follows:

A ₁ X ₁ +A ₂ X ₂ +A ₃ X ₃ +...=B,

Among them, A represents the preset weight corresponding to the production equipment, X represents the numerical value corresponding to the production equipment, and B represents the obtained sum.

3. The method for processing equipment capacity data according to claim 1, wherein the method further comprises:

dividing the production equipment into business modules;

A preset weight is respectively set for the production equipment in each of the business modules, and the sum of the preset weights in the business module is a fixed value;

establishing a first correspondence between the production equipment and the business module;

Based on the preset weight and the first correspondence, a second correspondence between the production equipment in the business module and the preset weight is established.

4. The method for processing equipment capacity data according to claim 3, wherein the method further comprises:

The preset weight of the production equipment is determined according to the analytic hierarchy process.

5. The method for processing equipment capacity data according to claim 3, wherein the step of processing the actual production data to obtain a list of actual production equipment comprises:

Obtain the type of the production equipment in the business module and the number of production equipment corresponding to the type;

The actual production equipment list is obtained according to the type and the quantity of the production equipment.

6. The method for processing equipment capacity data according to claim 1, wherein the method further comprises:

Acquire the failure time and planned operation time of the production equipment in the business module, and calculate the individual failure rate of the production equipment through a second preset formula based on the failure time and the planned operation time;

Acquiring the total number of the production equipment in the business module, and calculating the average failure rate of the production equipment through a third preset formula based on the total number and the individual failure rate;

Acquire the number of the production equipment in the business module that has been shut down by failure, and based on the total number of the production equipment and the number of the production equipment that has been shut down, calculate and obtain the integrity rate of the production equipment through a fourth preset formula.

7. The method for processing equipment capacity data according to claim 6, wherein first obtaining the production efficiency and production accuracy of the production equipment in the business module, comprising:

Obtain parameters such as the processing area, cutting length, and welding quantity of the production equipment per unit time in the business module, and determine the production efficiency of the production equipment based on the processing area, the cutting length, and the welding quantity and other parameters. ;

Determine the production accuracy of the production equipment in the business module based on actual geometric parameters such as the processing area and cutting length;

The step of comparing the actual production equipment list with the preset production equipment list in the corresponding business module to obtain the final production equipment list includes:

Comparing the actual production equipment list with the preset production equipment list in the corresponding business module to determine whether the production equipment in the actual production equipment list is in the preset production equipment list;

If it is in the preset production equipment list, determine whether the production equipment meets the standard according to the individual failure rate, the production efficiency and the production accuracy;

If the production equipment meets the standard, mark the production equipment with a numerical value;

According to the production equipment and the numerical value corresponding to the production equipment, a final production equipment list is determined.

8. The method for processing equipment capacity data according to claim 7, characterized in that, based on the first preset formula, the step of calculating the sum by calculating the numerical value and preset weight corresponding to the production equipment ,include:

determining the preset weight corresponding to the production equipment on the final production equipment list based on the second correspondence in the business module;

Based on the first preset formula, the preset weight and the numerical value are respectively multiplied to obtain a multiplication result, and a plurality of the obtained multiplication results are summed to obtain a sum.

9 . The method for processing equipment capacity data according to claim 8 , wherein the step of performing capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment. 10 . ,include:

Judging whether the sum is greater than or equal to the preset threshold value corresponding to the business module;

If the sum is greater than or equal to the preset threshold, it is determined that the production equipment has completed the business, and the production capacity monitoring information of the business corresponding to the production equipment is obtained;

If the sum is less than the preset threshold, it is determined that the production equipment cannot complete the business, and the production capacity monitoring information of the business corresponding to the production equipment is obtained.

10 . The equipment capacity data processing method according to claim 9 , wherein, in the process of performing capacity monitoring on the production equipment according to the final production equipment list to obtain capacity monitoring information corresponding to the production equipment. 11 . After the steps, including:

In the case that the sum is greater than or equal to the preset threshold, determine whether the integrity rate and the average failure rate both meet the standard;

If both the integrity rate and the average failure rate meet the standard, it is confirmed that the production capacity monitoring information is valid.

11. An equipment capacity data processing device, characterized in that the device comprises:

The acquisition module is used to acquire the actual production data of the production equipment in the business module;

a processing module for processing the actual production data to obtain a list of actual production equipment;

a comparison module, configured to compare the actual production equipment list with the preset production equipment list in the corresponding module to obtain a final production equipment list;

The monitoring module is configured to monitor the production capacity of the production equipment according to the final production equipment list, and obtain capacity monitoring information corresponding to the production equipment.

12. An electronic terminal, comprising a memory and a processor, wherein a computer program that can be run on the processor is stored in the memory, wherein the processor implements claim 1 when executing the computer program to the steps of any one of 10.

13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions that, when invoked and executed by a processor, cause the computer-executable instructions to The processor executes the method of any one of claims 1 to 10.