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CN119205092B - An intelligent dispatching system for recycling equipment based on digital twin multi-data analysis - Google Patents

An intelligent dispatching system for recycling equipment based on digital twin multi-data analysis Download PDF

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CN119205092B
CN119205092B CN202411689769.9A CN202411689769A CN119205092B CN 119205092 B CN119205092 B CN 119205092B CN 202411689769 A CN202411689769 A CN 202411689769A CN 119205092 B CN119205092 B CN 119205092B
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熊阳
熊简银
冯杰
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Sichuan Yingu Carbon Sink Renewable Resources Co ltd
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Abstract

The invention discloses an intelligent dispatching system of recovery equipment based on digital twin multi-data analysis, which comprises a comprehensive acquisition terminal, a data processing module and an information sending module, wherein the comprehensive acquisition terminal comprises a recovery equipment information acquisition module, a set point acquisition module and other information acquisition modules, the recovery equipment information acquisition module is used for acquiring recovery equipment related information required to be dispatched, the set point acquisition module is used for acquiring set point related information, the other information acquisition modules are used for acquiring other related information, the data processing module is used for processing the recovery equipment related information to acquire first dispatching management information, processing the set point related information to acquire second dispatching management information, and processing the other related information to acquire third dispatching management information. The invention can more comprehensively carry out intelligent scheduling on the recovery equipment.

Description

Intelligent dispatching system of recovery equipment based on digital twin multi-data analysis
Technical Field
The invention relates to the field of dispatching systems, in particular to an intelligent dispatching system of recovery equipment based on digital twin multi-data analysis.
Background
Recovery equipment, particularly intelligent recovery boxes, has played an increasingly important role in the environmental protection field and community life in recent years. Recovery equipment types include intelligent recovery boxes and garbage sorting kiosks/houses and the like.
Recovery equipment in communities plays an important role in the environmental protection field and community life. The utilization rate and the environmental protection effect of the equipment can be further improved by continuously optimizing the functions of the equipment, improving the operation efficiency and strengthening resident education;
the recycling equipment can be used in a dispatching system in the throwing process to comprehensively dispatch the recycling equipment.
The existing dispatching system is low in intelligent degree, less in relevant information is obtained, the specific condition of the recovery equipment point cannot be accurately known, further the recovery equipment cannot be intelligently dispatched by timely and accurately generating relevant dispatching information, and certain influence is brought to the use of the dispatching system.
Disclosure of Invention
The invention aims to solve the technical problems that how to solve the problems that the existing dispatching system is low in intelligent degree, less in acquired related information and incapable of accurately knowing the specific condition of the recovery equipment point, and further incapable of timely and accurately generating related dispatching information to intelligently dispatch the recovery equipment, and the use of the dispatching system is affected to a certain extent, and provides the intelligent dispatching system of the recovery equipment based on digital twin multi-data analysis.
The invention solves the technical problems through the following technical scheme that the invention comprises a comprehensive acquisition terminal, a data processing module and an information sending module;
The comprehensive acquisition terminal comprises a recovery equipment information acquisition module, a set point acquisition module and other information acquisition modules;
The recovery equipment information acquisition module is used for acquiring the recovery equipment related information required to be scheduled;
the set point acquisition module is used for acquiring set point related information;
The other information acquisition module is used for acquiring other related information;
the data processing module is used for processing the relevant information of the recovery equipment to acquire first scheduling management information;
Processing the relevant information of the set point to obtain second scheduling management information;
processing other related information to obtain third scheduling management information;
the information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal.
The first schedule management information comprises suggested schedules and non-suggested schedules, and the generation basis is newly added recycling equipment and equipment needing to be withdrawn;
The recovery equipment related information comprises the setting time of the recovery equipment, the daily recovery quantity of the recovery equipment, the standard capacity of the recovery equipment, the total profit information of the recovery equipment and the daily profit information of the recovery equipment;
The first scheduling management information acquisition process comprises a first-class state acquisition process and a second-class state acquisition process;
One type of state is that recovery equipment needs to be added at the original set point;
The first scheduling management information in the first type of state is obtained as follows:
Extracting the setting time of the recovery equipment, the daily recovery amount of the recovery equipment, the standard capacity of the recovery equipment and the total profit information of the recovery equipment from the recovery equipment related information;
Processing the set time length of the recovery equipment and the daily recovery quantity of the recovery equipment to obtain a total recovery quantity average value, extracting x daily recovery quantities closest to the current time from the daily recovery quantity of the recovery equipment, calculating the average value of the x daily recovery quantities, and obtaining a daily average recovery quantity;
then calculating the difference between the average daily recovery quantity and the average total recovery quantity to obtain a recovery difference;
extracting x daily recovery amounts, calculating the difference between the average value of the total recovery amounts and the x daily recovery amounts, obtaining x recovery evaluation differences, namely, the recovery evaluation differences are larger than a preset value to indicate that the recovery evaluation differences are abnormal, extracting the number of the x recovery evaluation differences larger than the preset value, and obtaining the recovery abnormal number;
Processing the total profit information of the recovery equipment and the set time of the recovery equipment, calculating the ratio of the total profit information of the recovery equipment to the set time of the recovery equipment, and obtaining daily average profit information;
When the average value of the total recovery quantity is smaller than a preset value, the recovery difference is smaller than the preset value, the number of recovery anomalies is larger than the preset value, and the daily gain information is smaller than any two or more than the preset value, generating a non-recommended schedule;
and generating a recommended schedule when only one or none of the total recovery quantity average value, the recovery difference, the recovery abnormal quantity and the daily gain information are smaller than the preset value.
The second-class state is that recovery equipment needs to be withdrawn, recovery equipment related information is extracted at the moment, setting time of the recovery equipment, daily recovery quantity of the recovery equipment and daily profit information of the recovery equipment are extracted from the recovery equipment related information;
extracting the quantity larger than a preset value from the daily recovery quantity of recovery equipment to obtain a recovery scalar;
extracting the quantity larger than a preset value from daily profit information of recovery equipment to obtain a profit scalar;
when the set time length of the recycling equipment is larger than a preset value, but any one of the recycling reaching scalar and the profit reaching scalar is smaller than the preset value, generating suggested scheduling information;
except for the above procedure, no proposed scheduling information is generated.
Further, the second scheduling management information comprises that the set point evaluation passes and the set point evaluation does not pass, and the second scheduling management information is generated when a new recovery point needs to be set;
The second scheduling management information acquisition process is as follows:
extracting the acquired relevant information of the set points, wherein the relevant information of the set points comprises the width information of the road around the set points, the traffic information in the preset range of the set points, the duty ratio information of various residents around the set points and the distance information between the set points and the residential building;
processing the road width information around the set point to obtain a first parameter;
processing the people flow information within the preset range of the set point to obtain a second parameter;
processing the occupancy rate information of various residents around the set point to obtain a third parameter;
processing the distance information between the set point and the residential building to obtain a fourth parameter;
Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter;
When the comprehensive evaluation parameters are abnormal, generating that the set point evaluation is not passed, otherwise, generating that the set point evaluation is passed.
Extracting the road width information around the set point, which is the road width nearest to the set point, scoring the road width information around the set point, and obtaining the first parameter;
when the road width information around the set point is larger than or equal to a preset value a1, the first parameter is a preset value m1;
When the road width information around the set point is between the preset values a1 to a2, the first parameter is a preset value m2;
when the road width information around the set point is smaller than or equal to a preset value a2, the first parameter is a preset value m3;
a1<a2,m3>m2>m1;
The second parameter is obtained as follows:
the people flow information in the preset range of the set point is scored, and a second parameter is obtained;
when the people flow information in the preset range of the set point is greater than or equal to a preset value b1, the second parameter is a preset value f1;
when the people flow information in the preset range of the set point is between preset values b1 and b2, the second parameter is a preset value f2;
when the people flow information in the preset range of the set point is smaller than or equal to a preset value b2, the second parameter is a preset value f3;
b1>b2,f1>f2>f3;
Processing the occupancy rate information of various residents around the set point to obtain a third parameter, wherein the occupancy rate information of various residents around the set point is the ratio of the number of residents with the age being above a preset value to the number of residents with the age being below the preset value in the cell where the set point is located;
Scoring the occupancy rate information of various residents around the set point to obtain a third parameter;
When the occupancy ratio information of various residents around the set point is larger than or equal to a preset value c1, the third parameter is a preset value y1;
when the occupancy ratio information of various residents around the set point is between preset values c1 to c2, the third parameter is a preset value y2;
When the occupancy ratio information of various residents around the set point is smaller than or equal to a preset value c2, the third parameter is a preset value y3;
c1>c2,y1>y2>y3;
Scoring the distance information between the set point and the residential building to obtain a fourth parameter;
when the distance information between the set point and the residential building is smaller than or equal to a preset value d1, the fourth parameter is a preset value p1;
when the distance information between the set point and the residential building is between preset values d1 and d2, the fourth parameter is a preset value p2;
When the distance information between the set point and the residential building is greater than or equal to a preset value d2, the fourth parameter is a preset value p3;
d1<d2,p1>p2>p3。
The method further comprises the following steps of extracting the acquired first parameter, second parameter, third parameter and fourth parameter;
The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4;
Giving a weight G1 to W1, a weight G2 to W2, a weight G3 to W3, and a weight G4 to W4;
G1+G2+G3+G4=1,G2>G3>G1=G4;
g1+w2×g by the formula W1 2+W3 g3+W g4=ww, namely, acquiring the comprehensive evaluation parameter Ww;
when the comprehensive evaluation parameter Ww is larger than or equal to a preset value, the set point evaluation is passed;
When the comprehensive evaluation parameter Ww is smaller than the preset value, the set point evaluation is not passed.
The third scheduling management information is scheduling management information of operation staff of the recovery equipment, and is generated when recovery of the recovery equipment reaches the standard and the environment where the recovery equipment is located is abnormal;
The generation process of the third scheduling management information under the condition that the recovery equipment is recovered to reach the standard is as follows, other collected related information is extracted, and the other related information comprises equipment recovery state information and environment information where the recovery equipment is located;
processing equipment recovery state information, wherein the equipment recovery state information comprises recovery quantity and recovery time length of recovery equipment;
Calculating the ratio of the recovery amount of the recovery equipment to the recovery time length, obtaining the recovery amount of the unit time length, and marking the recovery amount as U;
then extracting a preset standard next recovery cleaning time point, marking the time point as T1, extracting the current time, and marking the time point as T2;
extracting the standard recovery amount of the recovery equipment, calculating the difference value between the standard recovery amount of the recovery equipment and the recovery amount of the recovery equipment, obtaining the residual recovery amount, and marking the residual recovery amount as Q;
and (3) obtaining a recovery evaluation parameter Tu through a formula [ T1-T2) -Q/U ], wherein alpha is a correction value, alpha is more than or equal to 0.91 and less than or equal to 0.99, and alpha is in direct proportion to the size of Q when the recovery evaluation parameter Tu is smaller than a preset value, namely the recovery reaches the standard, so as to generate third scheduling management information.
Further, the acquiring process of the third scheduling management information when the environment where the recovery device is located is abnormal is as follows:
Extracting environment information of recovery equipment from other related information, wherein the environment information of the recovery equipment comprises environment temperature information, environment humidity information and environment image information;
continuously collecting the environmental temperature information and the environmental humidity information for z times, calculating an environmental temperature information mean value and an environmental humidity information mean value, and obtaining an environmental temperature parameter and an environmental humidity parameter;
processing the environmental image information to obtain other influence parameters;
When any two of the environmental temperature parameter, the environmental humidity parameter and other influence parameters are larger than a preset value, the environmental temperature parameter, the environmental humidity parameter and other influence parameters are imported into a standard database established by a digital twin technology, maintenance frequency information matched with the corresponding environmental temperature parameter, the environmental humidity parameter and other influence parameters is retrieved from the standard database, and standard maintenance frequency is obtained;
and then collecting the real-time maintenance frequency of the current recovery equipment, and generating third scheduling management information when the real-time maintenance frequency is smaller than the standard maintenance frequency.
Extracting the environment image information, extracting recovery equipment from the environment image information, drawing a circle by taking the center point of the recovery equipment as the center of a circle and taking the preset length as the radius, and obtaining an image evaluation area;
and acquiring green planting area information from the image evaluation area, and then calculating the ratio of the green planting area information to the image evaluation area to acquire other evaluation parameters.
Compared with the prior art, the intelligent dispatching system for the recovery equipment based on digital twin multi-data analysis has the advantages that the intelligent dispatching system has comprehensive data acquisition and processing capability, and the comprehensive dispatching system comprehensively collects recovery equipment, set points and other relevant information through the comprehensive acquisition terminal, so that the comprehensiveness and accuracy of data are ensured. The data processing module can efficiently process the information, generate first, second and third scheduling management information, and provide powerful support for intelligent scheduling.
The intelligent scheduling decision is realized, the first scheduling management information intelligently judges whether the recycling equipment needs to be scheduled according to the operation state (such as the set time length, the daily recycling amount, the standard capacity and the profit information) of the recycling equipment, and the resource utilization efficiency is improved.
The second scheduling management information ensures rationality and effectiveness of the new set point by evaluating information such as road width, traffic volume, resident ratio, distance from the resident building, and the like of the set point.
The third scheduling management information is generated when recovery equipment is recovered to reach the standard or the environment where the recovery equipment is located is abnormal, and operation and maintenance personnel are scheduled in time, so that normal operation of the recovery equipment is ensured.
The system carries out fine evaluation on the recovery equipment and the set point through calculation of a plurality of parameters, so that intelligent scheduling of the recovery equipment is realized more comprehensively and intelligently, and the system is more worthy of popularization and use.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, the embodiment provides a technical scheme that the intelligent dispatching system of recovery equipment based on digital twin multi-data analysis comprises a comprehensive acquisition terminal, a data processing module and an information sending module;
The comprehensive acquisition terminal comprises a recovery equipment information acquisition module, a set point acquisition module and other information acquisition modules;
The recovery equipment information acquisition module is used for acquiring the recovery equipment related information required to be scheduled;
the set point acquisition module is used for acquiring set point related information;
The other information acquisition module is used for acquiring other related information;
the data processing module is used for processing the relevant information of the recovery equipment to acquire first scheduling management information;
Processing the relevant information of the set point to obtain second scheduling management information;
processing other related information to obtain third scheduling management information;
the information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal.
The first scheduling management information comprises suggested scheduling and non-suggested scheduling, and the generation basis of the first scheduling management information is newly added recycling equipment and equipment needing to be withdrawn;
The recovery equipment related information comprises the setting time of the recovery equipment, the daily recovery quantity of the recovery equipment, the standard capacity of the recovery equipment, the total profit information of the recovery equipment and the daily profit information of the recovery equipment;
The first scheduling management information acquisition process comprises a first-class state acquisition process and a second-class state acquisition process;
One type of state is that recovery equipment needs to be added at the original set point;
The first scheduling management information in the first type of state is obtained as follows:
extracting setting time of the recovery equipment, daily recovery quantity of the recovery equipment, standard capacity of the recovery equipment and total profit information of the recovery equipment from the recovery equipment related information;
Processing the set time length of the recovery equipment and the daily recovery quantity of the recovery equipment to obtain a total recovery quantity average value, extracting x daily recovery quantities closest to the current time from the daily recovery quantity of the recovery equipment, calculating the average value of the x daily recovery quantities, and obtaining a daily average recovery quantity, wherein x is more than or equal to 10;
then calculating the difference between the average daily recovery quantity and the average total recovery quantity to obtain a recovery difference;
extracting x daily recovery amounts, calculating the difference between the average value of the total recovery amounts and the x daily recovery amounts, obtaining x recovery evaluation differences, namely, the recovery evaluation differences are larger than a preset value to indicate that the recovery evaluation differences are abnormal, extracting the number of the x recovery evaluation differences larger than the preset value, and obtaining the recovery abnormal number;
Processing the total profit information of the recovery equipment and the set time of the recovery equipment, calculating the ratio of the total profit information of the recovery equipment to the set time of the recovery equipment, and obtaining daily average profit information;
When the average value of the total recovery amount is smaller than a preset value, the recovery difference is smaller than the preset value, the number of recovery anomalies is larger than the preset value, and the daily gain information is smaller than any two or more than the preset value, generating a non-recommended schedule, namely, certain anomalies exist in the parameters such as the recovery amount of the existing recovery equipment point, and the like, so that the method is not suitable for adding new recovery equipment;
When the average value of the total recovery quantity is smaller than a preset value, the recovery difference is smaller than a preset value, the number of recovery anomalies is larger than the preset value and the daily gain information is smaller than the preset value, only one or none of the recovery anomalies appears, the recommended schedule is generated, that is, the single equipment of the existing recovery equipment point meets the actual recovery requirement, and new recovery equipment is not required to be added.
The second-class state is that recovery equipment needs to be withdrawn, recovery equipment related information is extracted at the moment, and setting time of the recovery equipment, daily recovery quantity of the recovery equipment and daily profit information of the recovery equipment are extracted from the recovery equipment related information;
extracting the quantity larger than a preset value from the daily recovery quantity of recovery equipment to obtain a recovery scalar;
extracting the quantity larger than a preset value from daily profit information of recovery equipment to obtain a profit scalar;
When the set time length of the recovery equipment is larger than a preset value, but any one of the recovery reaching scalar and the profit reaching scalar is smaller than the preset value, generating recommended scheduling information, namely recommending recovery equipment of the equipment to be recovered, and reducing equipment loss;
Except the above process, generating non-suggested scheduling information;
The process realizes accurate data analysis, and the system can comprehensively and accurately know the running condition of the recovery equipment by analyzing key data such as the set time length, the daily recovery amount, the standard capacity, the daily profit information and the like of the recovery equipment.
The performance characteristics and the variation trend of the recovery equipment can be further revealed by processing and analyzing the data, such as calculating the average value of the total recovery amount, the average recovery amount, the recovery difference, the recovery evaluation difference, the average profit information and the like.
According to the data analysis result, the system can automatically generate information of suggested scheduling or non-suggested scheduling, and clear reference is provided for a decision maker.
The intelligent scheduling proposal can reduce subjectivity and uncertainty of human judgment and improve accuracy and efficiency of decision making.
In one type of state, when the system judges that new recovery equipment is not recommended to be added, unnecessary resource waste and repeated construction can be avoided.
In the second-class state, when the system judges that the withdrawal of the recovery equipment is recommended, the inefficient or redundant equipment can be cleaned in time, and the resource utilization efficiency is improved.
The operation cost is reduced, and the system can help enterprises to optimize the operation and maintenance strategies of the recovery equipment through accurate data analysis and intelligent scheduling suggestions.
This not only reduces equipment loss and maintenance costs, but also increases equipment operating efficiency and profitability.
The second scheduling management information comprises that the evaluation of the set point passes and the evaluation of the set point does not pass, and the second scheduling management information is generated when a new recovery point needs to be set;
The second scheduling management information acquisition process is as follows:
extracting the acquired relevant information of the set points, wherein the relevant information of the set points comprises the width information of the road around the set points, the traffic information in the preset range of the set points, the duty ratio information of various residents around the set points and the distance information between the set points and the residential building;
processing the road width information around the set point to obtain a first parameter;
processing the people flow information within the preset range of the set point to obtain a second parameter;
processing the occupancy rate information of various residents around the set point to obtain a third parameter;
processing the distance information between the set point and the residential building to obtain a fourth parameter;
Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter;
When the comprehensive evaluation parameters are abnormal, generating that the set point evaluation is not passed, otherwise, generating that the set point evaluation is passed.
Extracting the width information of the road around the set point, wherein the width information of the road around the set point is the width of the road nearest to the set point, scoring the width information of the road around the set point, and obtaining the first parameter;
when the road width information around the set point is larger than or equal to a preset value a1, the first parameter is a preset value m1;
When the road width information around the set point is between the preset values a1 to a2, the first parameter is a preset value m2;
when the road width information around the set point is smaller than or equal to a preset value a2, the first parameter is a preset value m3;
a1<a2,m3>m2>m1;
The second parameter is obtained as follows:
the people flow information in the preset range of the set point is scored, and a second parameter is obtained;
when the people flow information in the preset range of the set point is greater than or equal to a preset value b1, the second parameter is a preset value f1;
when the people flow information in the preset range of the set point is between preset values b1 and b2, the second parameter is a preset value f2;
when the people flow information in the preset range of the set point is smaller than or equal to a preset value b2, the second parameter is a preset value f3;
b1>b2,f1>f2>f3;
Processing the occupancy rate information of various residents around the set point to obtain a third parameter, wherein the occupancy rate information of various residents around the set point is the ratio of the number of residents with the age being above a preset value to the number of residents with the age being below the preset value in the cell where the set point is located;
Scoring the occupancy rate information of various residents around the set point to obtain a third parameter;
When the occupancy ratio information of various residents around the set point is larger than or equal to a preset value c1, the third parameter is a preset value y1;
when the occupancy ratio information of various residents around the set point is between preset values c1 to c2, the third parameter is a preset value y2;
When the occupancy ratio information of various residents around the set point is smaller than or equal to a preset value c2, the third parameter is a preset value y3;
c1>c2,y1>y2>y3;
Scoring the distance information between the set point and the residential building to obtain a fourth parameter;
when the distance information between the set point and the residential building is smaller than or equal to a preset value d1, the fourth parameter is a preset value p1;
when the distance information between the set point and the residential building is between preset values d1 and d2, the fourth parameter is a preset value p2;
When the distance information between the set point and the residential building is greater than or equal to a preset value d2, the fourth parameter is a preset value p3;
d1<d2,p1>p2>p3。
the comprehensive evaluation parameters are obtained by extracting the collected first parameter, second parameter, third parameter and fourth parameter;
The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4;
Giving a weight G1 to W1, a weight G2 to W2, a weight G3 to W3, and a weight G4 to W4;
g1+g2+g3+g4=1, g2> g3> g1=g4, the importance of the traffic is highest, thus giving it the highest weight, and older people prefer to collect recyclables compared to younger people, thus giving it the second greatest weight;
g1+w2×g by the formula W1 2+W3 g3+W g4=ww, namely, acquiring the comprehensive evaluation parameter Ww;
when the comprehensive evaluation parameter Ww is larger than or equal to a preset value, the set point evaluation is passed;
When the comprehensive evaluation parameter Ww is smaller than a preset value, the set point evaluation is not passed;
The process comprehensively considers various factors such as the width of the road around the set point, the flow of people, the ratio of residents to the distance between the set point and the residential building, and the like, and all the factors have important influence on the dispatching of recovery equipment and the selection of the set point.
By fully considering these factors, the system is able to more accurately evaluate the feasibility and optimization potential of the set points.
The process converts various factors into quantifiable evaluation criteria by means of scoring and weight distribution.
Through accurate evaluation, the system can avoid setting up recovery plant in improper place to avoid wasting of resources and repeated construction. This helps the enterprise to allocate resources more reasonably, improving the operating efficiency.
The service quality and the customer satisfaction are improved, and the recovery equipment can be more conveniently used by residents through proper set points, so that the service quality and the customer satisfaction are improved;
By optimizing the layout and scheduling strategy of the recycling equipment, the system can promote the recycling and efficient utilization of resources, which is helpful for reducing resource waste and environmental pollution and promoting sustainable development.
The third scheduling management information is scheduling management information of operation and maintenance personnel of the recovery equipment, and is generated when recovery of the recovery equipment reaches the standard and the environment where the recovery equipment is located is abnormal;
The generation process of the third scheduling management information under the condition that the recovery equipment is recovered to reach the standard is as follows, other collected related information is extracted, and the other related information comprises equipment recovery state information and environment information where the recovery equipment is located;
processing equipment recovery state information, wherein the equipment recovery state information comprises recovery quantity and recovery time length of recovery equipment;
Calculating the ratio of the recovery amount of the recovery equipment to the recovery time length, obtaining the recovery amount of the unit time length, and marking the recovery amount as U;
then extracting a preset standard next recovery cleaning time point, marking the time point as T1, extracting the current time, and marking the time point as T2;
extracting the standard recovery amount of the recovery equipment, calculating the difference value between the standard recovery amount of the recovery equipment and the recovery amount of the recovery equipment, obtaining the residual recovery amount, and marking the residual recovery amount as Q;
Acquiring a recovery evaluation parameter Tu through a formula [ T1-T2) -Q/U ], wherein when the recovery evaluation parameter Tu is smaller than a preset value, the recovery evaluation parameter Tu indicates that recovery meets the standard, third scheduling management information is generated, alpha is a correction value, alpha is more than or equal to 0.91 and less than or equal to 0.99, alpha is in direct proportion to the size of Q, and at the moment, the specific content of the third scheduling management information is that a scheduling maintainer timely recovers recoverable objects in recovery equipment, so that the equipment warehouse is prevented from being full and cannot carry out recovery operation;
By the aid of the recovery operation efficiency is improved, the system can monitor the running condition of the recovery equipment in real time by extracting the equipment recovery state information and the environment information, and the recovery operation efficiency comprises recovery quantity and recovery time.
This allows the system to discover problems in the recovery process in time, such as low recovery efficiency or equipment failure, and to take immediate action to adjust and optimize.
And 3, accurately predicting and scheduling, namely, by calculating the recovery quantity (U) and the residual recovery quantity (Q) in unit time, the system can accurately predict the recovery capacity and the residual task quantity of the recovery equipment in a future period.
The method is beneficial to enterprises to plan recovery tasks in advance and reasonably arrange recovery time and place, so that the recovery operation efficiency is improved.
The resource backlog is avoided, and when the recovery evaluation parameter Tu is smaller than a preset value, the recovery equipment can complete the recovery task within a specified time, so that the resource backlog caused by untimely recovery is avoided.
This helps the enterprise to utilize recovery plant more rationally, reduces the wasting of resources.
Through real-time monitoring and accurate prediction, the system can ensure that recovery equipment operates in an optimal state, so that the resource recovery rate is improved.
This helps the enterprise to achieve maximum utilization of resources, reducing environmental pollution.
The specific content of the third scheduling management information is that scheduling maintenance personnel timely recover recoverable objects in recovery equipment, so that the situation that equipment bins are full and recovery operation cannot be performed is avoided.
This enables the dispatch maintenance personnel to clarify their own tasks and responsibilities, improving work enthusiasm and execution.
By timely recycling and processing the recyclable materials, scheduling maintenance personnel can ensure normal operation and efficient utilization of recycling equipment.
The process of obtaining the third scheduling management information when the environment where the recovery equipment is located is abnormal is as follows:
Extracting environment information of recovery equipment from other related information, wherein the environment information of the recovery equipment comprises environment temperature information, environment humidity information and environment image information;
Continuously collecting the environmental temperature information and the environmental humidity information for z times, calculating an environmental temperature information mean value and an environmental humidity information mean value, and obtaining an environmental temperature parameter and an environmental humidity parameter, wherein z is more than or equal to 15;
processing the environmental image information to obtain other influence parameters;
When any two of the environmental temperature parameter, the environmental humidity parameter and other influence parameters are larger than a preset value, the environmental temperature parameter, the environmental humidity parameter and other influence parameters are imported into a standard database established by a digital twin technology, maintenance frequency information matched with the corresponding environmental temperature parameter, the environmental humidity parameter and other influence parameters is retrieved from the standard database, and standard maintenance frequency is obtained;
then, acquiring the real-time maintenance frequency of the current recovery equipment, and generating third scheduling management information when the real-time maintenance frequency is smaller than the standard maintenance frequency, wherein the third scheduling management information increases the maintenance frequency of the recovery equipment for scheduling maintenance personnel at the moment, so that the recovery equipment can stably operate;
The process can timely find and cope with environmental abnormality, and the system can comprehensively monitor the environmental condition of the recovery equipment by continuously collecting the environmental temperature, humidity and image information.
This allows the system to discover environmental anomalies in time, such as excessive temperature, excessive humidity, or other adverse factors, and to take immediate action to deal with.
The system monitors environment parameters and acquires other influence parameters by processing environment image information, so that specific problems and reasons of environment abnormality can be accurately identified.
When the real-time maintenance frequency is lower than the standard maintenance frequency, the system immediately generates third scheduling management information to remind scheduling maintenance personnel to increase the maintenance frequency.
This helps the enterprise to adjust the maintenance plan in time, ensuring that the recovery device is operating in an optimal state.
Extracting the environment image information, extracting recovery equipment from the environment image information, drawing a circle by taking the center point of the recovery equipment as the center of a circle and taking the preset length as the radius, and obtaining an image evaluation area;
Collecting green planting area information from an image evaluation area, and then calculating the ratio of the green planting area information to the image evaluation area to obtain other evaluation parameters, wherein the condition that mosquitoes and other animals are easy to breed at the point is indicated by the overlarge green planting area, and the mosquitoes and other animals enter recovery equipment to cause equipment damage or recovery material pollution, so that the condition of the recovery equipment can be known by monitoring and analyzing the equipment;
Through the process, the influence of the environment on the recovery equipment can be accurately estimated, and the system can accurately define the image estimation area by drawing the circle with the center point of the recovery equipment as the center and the preset length as the radius.
This enables the system to more accurately assess the impact that the recovery plant environment may have on it.
The green planting area is quantized, and the system can automatically collect the green planting area information in the image evaluation area and calculate the ratio of the green planting area to the image evaluation area.
This ratio serves as an important other influencing parameter, enabling to quantify the extent of the influence of the green plants on the recycling plant.
The excessive green planting area often means that the area is prone to breeding mosquitoes and other animals.
By monitoring the ratio of green plant area to image evaluation area, the system can discover potential risk areas in advance.
Preventing damage to equipment and fouling of recycled materials, which may be caused by mosquitoes and other animals entering the recycling equipment.
Through early warning in advance, the enterprise can take corresponding precautions such as increase clean frequency, set up protection network etc. to reduce these risks.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (8)

1.一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于，包括综合采集终端、数据处理模块与信息发送模块；1. An intelligent dispatching system for recycling equipment based on digital twin multi-data analysis, characterized by comprising a comprehensive acquisition terminal, a data processing module and an information sending module; 所述综合采集终端包括回收设备信息采集模块、设置点采集模块与其他信息采集模块；The comprehensive collection terminal includes a recycling equipment information collection module, a setting point collection module and other information collection modules; 回收设备信息采集模块用于采集所需调度的回收设备相关信息；The recycling equipment information collection module is used to collect the relevant information of the recycling equipment required for scheduling; 设置点采集模块用于采集设置点相关信息；The setting point collection module is used to collect setting point related information; 其他信息采集模块用于采集其他相关信息；Other information collection modules are used to collect other relevant information; 数据处理模块用于对回收设备相关信息进行处理，获取到第一调度管理信息；The data processing module is used to process the information related to the recycling equipment and obtain the first scheduling management information; 对设置点相关信息进行处理，获取到第二调度管理信息；Process the setting point related information to obtain second scheduling management information; 对其他相关信息进行处理，获取到第三调度管理信息；Process other relevant information to obtain third scheduling management information; 信息发送模块将第一调度管理信息、第二调度管理信息与第三调度管理信息发送到预设接收终端；The information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal; 所述第一调度管理信息包括建议调度和不建议调度，其生成的基础为新增回收设备和需要撤回回收设备；The first scheduling management information includes recommended scheduling and non-recommended scheduling, which are generated based on newly added recycling equipment and the need to withdraw recycling equipment; 回收设备相关信息包括回收设备的设置时长、回收设备的每日回收量、回收设备的标准容量、回收设备总盈利信息与回收设备每日盈利信息；The relevant information of the recycling equipment includes the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment, the total profit information of the recycling equipment and the daily profit information of the recycling equipment; 所述第一调度管理信息的获取过程包括一类状态获取过程与二类状态获取过程；The acquisition process of the first scheduling management information includes a first-type status acquisition process and a second-type status acquisition process; 一类状态即为需要在原有设置点增加回收设备；One type of status is that it is necessary to add recovery equipment to the original setting point; 一类状态下的第一调度管理信息的获取过程如下：The process of obtaining the first scheduling management information in a class-one state is as follows: 从回收设备相关信息提取出回收设备的设置时长、回收设备的每日回收量、回收设备的标准容量与回收设备总盈利信息；Extract the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment and the total profit information of the recycling equipment from the relevant information of the recycling equipment; 对回收设备的设置时长与回收设备的每日回收量进行处理，获取到总回收量均值，再从回收设备的每日回收量中提取距离当前时间最近的x个每日回收量，计算x个每日回收量的均值，获取到日均回收量；The setting time of the recycling equipment and the daily recycling volume of the recycling equipment are processed to obtain the average of the total recycling volume, and then the x daily recycling volumes closest to the current time are extracted from the daily recycling volume of the recycling equipment, and the average of the x daily recycling volumes is calculated to obtain the daily average recycling volume; 之后再计算出日均回收量与总回收量均值的差值，获取到回收差；Then calculate the difference between the average daily recovery amount and the average total recovery amount to obtain the recovery difference; 再提取出x个每日回收量，计算出总回收量均值与x个每日回收量之间的差值，获取到x个回收评估差，回收评估差大于预设值即表示其存在异常，提取出x个回收评估差大于预设值的数量，获取回收异常数量；Then extract x daily recycling amounts, calculate the difference between the total recycling amount mean and x daily recycling amounts, obtain x recycling assessment differences, and if the recycling assessment difference is greater than the preset value, it means that there is an abnormality. Extract the number of x recycling assessment differences greater than the preset value to obtain the number of recycling anomalies; 再对回收设备总盈利信息与回收设备的设置时长进行处理，计算出回收设备总盈利信息与回收设备的设置时长的比值，获取到日均盈利信息；Then, the total profit information of the recycling equipment and the setting time of the recycling equipment are processed, and the ratio of the total profit information of the recycling equipment to the setting time of the recycling equipment is calculated to obtain the daily average profit information; 当总回收量均值小于预设值、回收差小于预设值、回收异常数量大于预设值与日均盈利信息小于预设值中任意两个及以上出现时，即生成不建议调度；When any two or more of the following occur: the total recovery volume average is less than the preset value, the recovery difference is less than the preset value, the recovery abnormality volume is greater than the preset value, and the daily average profit information is less than the preset value, scheduling is not recommended; 当总回收量均值小于预设值、回收差小于预设值、回收异常数量大于预设值与日均盈利信息小于预设值中只出现一个或均未出现时，即生成建议调度。When only one or none of the following occurs: the average total recovery volume is less than the preset value, the recovery difference is less than the preset value, the abnormal recovery volume is greater than the preset value, and the average daily profit information is less than the preset value, a recommended schedule is generated. 2.根据权利要求1所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述二类状态下的第一调度管理信息的获取过程如下：二类状态为需要撤回回收设备，此时提取出回收设备相关信息，从回收设备相关信息中提取出回收设备的设置时长、回收设备的每日回收量与回收设备每日盈利信息；2. According to claim 1, an intelligent scheduling system for recycling equipment based on digital twin multi-data analysis is characterized in that: the process of obtaining the first scheduling management information under the second state is as follows: the second state is that the recycling equipment needs to be withdrawn, and the relevant information of the recycling equipment is extracted at this time, and the setting time of the recycling equipment, the daily recycling volume of the recycling equipment and the daily profit information of the recycling equipment are extracted from the relevant information of the recycling equipment; 从回收设备的每日回收量中提取出大于预设值的数量，获取到回收达标量；Extract the amount greater than the preset value from the daily recycling volume of the recycling equipment to obtain the recycling target amount; 再从回收设备每日盈利信息中提取出大于预设值的数量，获取到盈利达标量；Then, the amount greater than the preset value is extracted from the daily profit information of the recycling equipment to obtain the profit target amount; 当回收设备的设置时长大于预设值，但回收达标量和盈利达标量中任意一个小于预设值时，即生成建议调度信息；When the set duration of the recycling equipment is greater than the preset value, but either the recycling target amount or the profit target amount is less than the preset value, the recommended scheduling information is generated; 除上述过程外，均生成不建议调度信息。Except for the above process, non-recommended scheduling information is generated. 3.根据权利要求1所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述第二调度管理信息包括设置点评估通过与设置点评估不通过，第二调度管理信息在需要设置新的回收点时生成；3. According to claim 1, a recycling equipment intelligent scheduling system based on digital twin multi-data analysis is characterized in that: the second scheduling management information includes setting point evaluation passing and setting point evaluation failing, and the second scheduling management information is generated when a new recycling point needs to be set; 第二调度管理信息获取过程如下：The second scheduling management information acquisition process is as follows: 提取出获取到的设置点相关信息，设置点相关信息包括设置点周围道路宽度信息、设置点预设范围内的人流量信息、设置点周围各类居民占比信息以及设置点与居民楼之间的距离信息；Extract the acquired setting point related information, including road width information around the setting point, pedestrian flow information within a preset range of the setting point, proportion information of various types of residents around the setting point, and distance information between the setting point and residential buildings; 对设置点周围道路宽度信息进行处理，获取到第一参数；Processing the road width information around the setting point to obtain a first parameter; 对设置点预设范围内的人流量信息进行处理，获取到第二参数；Processing the flow of people information within a preset range of the setting point to obtain a second parameter; 对设置点周围各类居民占比信息进行处理获取到第三参数；The third parameter is obtained by processing the information on the proportion of various types of residents around the setting point; 对设置点与居民楼之间的距离信息进行处理，获取到第四参数；Processing the distance information between the setting point and the residential building to obtain a fourth parameter; 对第一参数、第二参数、第三参数与第四参数进行处理，获取到综合评估参数；Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter; 当综合评估参数异常时，即生成设置点评估不通过，反之即生成设置点评估通过。When the comprehensive evaluation parameters are abnormal, the generated set point evaluation fails, otherwise the generated set point evaluation passes. 4.根据权利要求3所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述第一参数的获取过程如下：提取出设置点周围道路宽度信息，设置点周围道路宽度信息为距离设置点最近的道路宽度，对设置点周围道路宽度信息进行评分，获取到第一参数；4. According to claim 3, a recycling equipment intelligent scheduling system based on digital twin multi-data analysis is characterized in that: the process of obtaining the first parameter is as follows: extracting the road width information around the setting point, the road width information around the setting point is the road width closest to the setting point, scoring the road width information around the setting point, and obtaining the first parameter; 当设置点周围道路宽度信息大于等于预设值a1时，第一参数为预设值m1；When the road width information around the setting point is greater than or equal to the preset value a1, the first parameter is the preset value m1; 当设置点周围道路宽度信息在预设值a1到a2之间时，第一参数为预设值m2；When the road width information around the setting point is between the preset values a1 and a2, the first parameter is the preset value m2; 当设置点周围道路宽度信息小于等于预设值a2时，第一参数为预设值m3；When the road width information around the setting point is less than or equal to the preset value a2, the first parameter is the preset value m3; a1＜a2，m3＞m2＞m1；a1＜a2，m3＞m2＞m1； 第二参数的获取过程如下：The process of obtaining the second parameter is as follows: 设置点预设范围内的人流量信息，对设置点预设范围内的人流量信息进行评分，获取到第二参数；The flow of people within the preset range of the setting point is scored to obtain a second parameter; 当设置点预设范围内的人流量信息大于等于预设值b1时，第二参数为预设值f1；When the flow of people within the preset range of the set point is greater than or equal to the preset value b1, the second parameter is the preset value f1; 当设置点预设范围内的人流量信息在预设值b1到b2之间时，第二参数为预设值f2；When the flow of people information within the preset range of the set point is between the preset values b1 and b2, the second parameter is the preset value f2; 当设置点预设范围内的人流量信息小于等于预设值b2时，第二参数为预设值f3；When the flow of people within the preset range of the set point is less than or equal to the preset value b2, the second parameter is the preset value f3; b1＞b2，f1＞f2＞f3；b1＞b2, f1＞f2＞f3; 设置点周围各类居民占比信息进行处理获取第三参数，设置点周围各类居民占比信息为设置点所在小区内年龄在预设值及以上的居民数量和年龄在预设值以下的居民数量的比值；The third parameter is obtained by processing the information of the proportion of various types of residents around the setting point, where the information of the proportion of various types of residents around the setting point is the ratio of the number of residents whose age is above the preset value to the number of residents whose age is below the preset value in the community where the setting point is located; 对设置点周围各类居民占比信息进行评分，获取到第三参数；Score the proportion of various types of residents around the setting point to obtain the third parameter; 当设置点周围各类居民占比信息大于等于预设值c1时，第三参数为预设值y1；When the proportion of each type of residents around the setting point is greater than or equal to the preset value c1, the third parameter is the preset value y1; 当设置点周围各类居民占比信息在预设值c1到c2之间时，第三参数为预设值y2；When the proportion of each type of residents around the setting point is between the preset values c1 and c2, the third parameter is the preset value y2; 当设置点周围各类居民占比信息小于等于预设值c2时，第三参数为预设值y3；When the proportion of each type of residents around the setting point is less than or equal to the preset value c2, the third parameter is the preset value y3; c1＞c2，y1＞y2＞y3；c1＞c2，y1＞y2＞y3; 第四参数的获取过程如下：对设置点与居民楼之间的距离信息进行评分，获取到第四参数；The process of obtaining the fourth parameter is as follows: scoring the distance information between the setting point and the residential building to obtain the fourth parameter; 当设置点与居民楼之间的距离信息小于等于预设值d1时，第四参数为预设值p1；When the distance information between the set point and the residential building is less than or equal to the preset value d1, the fourth parameter is the preset value p1; 当设置点与居民楼之间的距离信息在预设值d1到d2之间时，第四参数为预设值p2；When the distance information between the set point and the residential building is between the preset values d1 and d2, the fourth parameter is the preset value p2; 当设置点与居民楼之间的距离信息大于等于预设值d2时，第四参数为预设值p3；When the distance information between the set point and the residential building is greater than or equal to the preset value d2, the fourth parameter is the preset value p3; d1＜d2，p1＞p2＞p3。d1＜d2, p1＞p2＞p3. 5.根据权利要求3所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述综合评估参数的获取过程如下：提取出采集到的第一参数、第二参数、第三参数与第四参数；5. According to claim 3, a recycling equipment intelligent scheduling system based on digital twin multi-data analysis is characterized in that: the acquisition process of the comprehensive evaluation parameters is as follows: extracting the collected first parameter, second parameter, third parameter and fourth parameter; 将第一参数标记为W1、第二参数标记W2，第三参数标记为W3，第四参数标记为W4；The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4; 赋予W1一个权重G1，W2一个权重G2，W3一个权重G3，W4一个权重G4；Assign W1 a weight of G1, W2 a weight of G2, W3 a weight of G3, and W4 a weight of G4; G1+G2+G3+G4=1，G2＞G3＞G1=G4；G1+G2+G3+G4=1, G2>G3>G1=G4; 通过公式W1*G1+W2*G2+W3*G3+W4*G4=Ww，即获取到综合评估参数Ww；Through the formula W1*G1+W2*G2+W3*G3+W4*G4=Ww, the comprehensive evaluation parameter Ww is obtained; 当综合评估参数Ww大于等于预设值时，即表示设置点评估通过；When the comprehensive evaluation parameter Ww is greater than or equal to the preset value, it means that the set point evaluation has passed; 当综合评估参数Ww小于预设值时，即表示设置点评估不通过。When the comprehensive evaluation parameter Ww is less than the preset value, it means that the set point evaluation fails. 6.根据权利要求1所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述第三调度管理信息为回收设备运维人员调度管理信息，其在回收设备回收达标和回收设备所处环境异常时生成；6. According to claim 1, a recycling equipment intelligent scheduling system based on digital twin multi-data analysis is characterized in that: the third scheduling management information is the scheduling management information of the recycling equipment operation and maintenance personnel, which is generated when the recycling equipment reaches the recycling standard and the environment in which the recycling equipment is located is abnormal; 所述回收设备回收达标状况下第三调度管理信息的生成过程如下：提取出采集到的其他相关信息，其他及相关信息包括设备回收状态信息与回收设备所处环境信息；The generation process of the third scheduling management information under the recycling equipment recycling compliance condition is as follows: extracting other collected relevant information, the other and related information including equipment recycling status information and recycling equipment environment information; 对设备回收状态信息进行处理，设备回收状态信息包括回收设备的回收量与回收所用时长；Processing equipment recycling status information, including the recycling amount and recycling time of the recycling equipment; 计算出回收设备的回收量与回收所用时长的比值，获取到单位时长回收量，将其标记为U；Calculate the ratio of the recycling amount of the recycling equipment to the recycling time, obtain the recycling amount per unit time, and mark it as U; 之后再提取出预设的标准下次回收清理时间点，将其标记为T1，再提取出当前时间，将其标记为T2；Then extract the preset standard next recycling and cleaning time point, mark it as T1, and then extract the current time, mark it as T2; 再提取出回收设备标准回收量，计算出回收设备标准回收量与回收设备的回收量的差值，获取到剩余回收量，将其标记为Q；Then extract the standard recycling volume of the recycling equipment, calculate the difference between the standard recycling volume of the recycling equipment and the recycling volume of the recycling equipment, obtain the remaining recycling volume, and mark it as Q; 通过公式(（T1-T2）-Q/U)*α=Tu，即获取到回收评估参数Tu，当回收评估参数Tu小于预设时，即表示回收达标，生成第三调度管理信息，α为修正值，0.91≤α≤0.99，α与Q的大小成正比。The recycling evaluation parameter Tu is obtained through the formula (（T1-T2）-Q/U)*α=Tu. When the recycling evaluation parameter Tu is less than the preset value, it means that the recycling meets the standard and the third scheduling management information is generated. α is the correction value, 0.91≤α≤0.99, and α is proportional to the size of Q. 7.根据权利要求6所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：所述回收设备所处环境异常时的第三调度管理信息的获取过程如下：7. According to claim 6, an intelligent scheduling system for recycling equipment based on digital twin multi-data analysis is characterized in that: the process of obtaining the third scheduling management information when the environment of the recycling equipment is abnormal is as follows: 从其他相关信息中提取出回收设备所处环境信息，回收设备所处环境信息包括环境温度信息、环境湿度信息与环境影像信息；Extracting environmental information of the recycling equipment from other relevant information, the environmental information of the recycling equipment including environmental temperature information, environmental humidity information and environmental image information; 连续采集z次环境温度信息和环境湿度信息，计算出环境温度信息均值与环境湿度信息均值，获取到环境温度参数与环境湿度参数；Continuously collect ambient temperature information and ambient humidity information z times, calculate the average value of ambient temperature information and the average value of ambient humidity information, and obtain ambient temperature parameters and ambient humidity parameters; 对环境影像信息进行处理获取到其他影响参数；Process the environmental image information to obtain other influencing parameters; 当环境温度参数、环境湿度参数与其他影响参数中任意两项大于预设值时，将环境温度参数、环境湿度参数与其他影响参数导入通过数字孪生技术建立的标准数据库中，从标准数据库中检索出对应环境温度参数、环境湿度参数与其他影响参数所匹配的维护频率信息，获取到标准维护频率；When any two of the ambient temperature parameters, ambient humidity parameters and other influencing parameters are greater than preset values, the ambient temperature parameters, ambient humidity parameters and other influencing parameters are imported into a standard database established by digital twin technology, and the maintenance frequency information matching the corresponding ambient temperature parameters, ambient humidity parameters and other influencing parameters is retrieved from the standard database to obtain the standard maintenance frequency; 之后采集当前回收设备的实时维护频率，当实时维护频率小于标准维护频率时，即生成第三调度管理信息。Then, the real-time maintenance frequency of the current recycling equipment is collected, and when the real-time maintenance frequency is less than the standard maintenance frequency, the third scheduling management information is generated. 8.根据权利要求7所述的一种基于数字孪生多数据分析的回收设备智能化调度系统，其特征在于：对环境影像信息进行处理获取到其他影响参数的过程如下：提取出环境影像信息，从环境影像信息中提出回收设备，以回收设备的中心点为圆心，以预设长度为半径绘制圆，获取到影像评估区域；8. According to claim 7, a recycling equipment intelligent scheduling system based on digital twin multi-data analysis is characterized in that: the process of processing environmental image information to obtain other influencing parameters is as follows: extracting environmental image information, extracting recycling equipment from the environmental image information, drawing a circle with the center point of the recycling equipment as the center and a preset length as the radius, and obtaining the image evaluation area; 从影像评估区中采集绿植面积信息，之后计算出绿植面积信息与影像评估区域的比值，即获取到其他评估参数。Green plant area information is collected from the image assessment area, and then the ratio of the green plant area information to the image assessment area is calculated to obtain other assessment parameters.
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