CN114331622A - Control method, device and shared service platform for shared equipment - Google Patents

Abstract

The application provides a control method and a control device of shared equipment and a shared service platform, wherein the method comprises the following steps: acquiring equipment distribution information of a current use period and equipment use information of the current use period to obtain the current equipment distribution information and the current equipment use information, wherein the equipment distribution information comprises the number of shared equipment of each shared equipment distribution point, and the equipment use information comprises the use time and the use times of the shared equipment; inputting the current equipment distribution information and the current equipment use information into a shared equipment switch prediction model, and predicting the startup number information of the shared equipment in the next use period; and controlling the startup number of the shared devices of each shared device distribution point according to the startup number information at the starting time of each time segment of the next use cycle. The method solves the problem that the energy consumption is high due to low equipment utilization rate of the shared equipment in the starting state in the prior art.

Description

Control method, device and shared service platform for shared equipment

technical field

The present application relates to the technical field of shared equipment, and in particular, to a control method, apparatus, computer-readable storage medium, processor, and shared service platform of a shared equipment.

Background technique

Buildings with shared functions, such as the installation of shared washing machines, shared new fans, etc., are generally buildings installed in gathering places such as schools and factory bases. On the basis of providing users with equipment, they meet the convenience of human life. Such as schools share washing machine points. But there are the following problems:

In buildings where shared equipment is installed, the equipment is generally always on and waiting for users to use it. However, the above-mentioned group use equipment has the characteristics of centralized use in a certain period of time, resulting in insufficient equipment in this period and idle equipment in other periods, resulting in a long standby time of the equipment and a relatively low utilization rate of shared equipment. It is observed that the equipment in the standby state also consumes more power, and additional costs are incurred in the idle state, resulting in a waste of energy in the building, and it is not in line with modern environmental protection concepts.

The above information disclosed in this Background section is only for enhancement of understanding of the background of the technology described in this article and therefore it may contain certain information that does not form part of the already known in this country to a person of ordinary skill in the art known prior art.

SUMMARY OF THE INVENTION

The main purpose of the present application is to provide a control method, apparatus, computer-readable storage medium, processor and shared service platform for shared equipment, so as to solve the problem of high energy consumption caused by low utilization of equipment in the power-on state of shared equipment in the prior art question.

According to an aspect of the embodiments of the present invention, a method for controlling a shared device is provided, including: acquiring device distribution information of a current usage period and device usage information of the current usage cycle, and obtaining current device distribution information and current device distribution information Usage information, the device distribution information includes the number of the shared devices at each shared device distribution point, and the device usage information includes the usage time and usage times of the shared device; the current device distribution information and the current The device usage information is input into a shared device switch prediction model to predict the information on the number of powered ons of the shared device in the next usage period, where the usage period includes multiple time periods, and the information on the number of powered ons includes each of the shared device distribution points The number of boots in each of the time periods, the shared device switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the training data set includes: the previous use cycle of the historical use cycle the device distribution information, the device usage information of the previous usage cycle of the historical usage cycle, and the number of boots in each time period in the historical usage cycle; at the start of each time segment of the next usage cycle, The number of the shared devices being powered on at each of the shared device distribution points is controlled according to the information on the number of powered ons.

Optionally, at the start of each time period of the next use period, after controlling the number of the shared devices at each of the shared device distribution points according to the information on the number of powered ons, the method further includes: determining A target sharing device, where the target sharing device is the sharing device selected by the user; acquiring the working status of the target sharing device, and returning a reservation instruction to the client according to the working status, where the reservation instruction includes a reservation available instruction and non-reservation instruction; receive a usage instruction sent by the client, the usage instruction includes a first usage instruction and a second usage instruction, the first usage instruction is an instruction for reserving the use of the target shared device, and the The second use instruction is an instruction to turn on the target sharing device; according to the use instruction, return reservation result information to the client, where the reservation result information includes reservation success information and reservation failure information.

Optionally, determining the target shared device includes: receiving a device reservation request sent by the client; returning the names and location information of all the shared devices in response to the device reservation request; The selection information determines the target sharing device, the selection information is generated based on the selection operation performed based on the names and location information of all the sharing devices, and the target name is the name of the sharing device selected by the user.

Optionally, returning the reservation instruction to the client according to the working state includes: in the case that the working state of the target shared device is the power-on use state, returning the use waiting time and the non-reservable instruction, the The power-on use state is that the target shared device is powered on and in use, and the use waiting time is the waiting time required to use the target shared device; the working state of the target shared device is the power-on, unused state or shutdown. In the case of the state, the command that can be reserved is returned.

Optionally, receiving the usage instruction of the client includes: in the case that the working state of the target shared device is in a shutdown state, sending startup cost information to the client; receiving the second usage instruction, the The second usage instruction is an instruction generated by the client based on paying the startup fee.

Optionally, returning the reservation result information to the client terminal according to the usage instruction includes: returning the reservation success information and service fee in the case of receiving the first usage instruction or the second usage instruction. To the client, the service fee is the fee for using the shared device; if the first use instruction and the second use instruction are not received within the first predetermined time, return the reservation failure information to the client.

Optionally, after the use of the target shared device is completed, the method further includes: within the same time period, the working state of the target shared device before the reservation is a shutdown state and the used target shared device is turned on. When the unused state reaches the second predetermined time, the target shared device is controlled to shut down.

According to another aspect of the embodiments of the present invention, there is also provided a control apparatus for sharing a device, including: an acquiring unit configured to acquire the device distribution information of the current usage period and the device usage information of the current usage period, and obtain Current device distribution information and current device usage information, the device distribution information includes the number of shared devices at each shared device distribution point, and the device usage information includes the usage time and usage times of the shared devices; the prediction unit is used to predict all shared devices. The current device distribution information and the current device usage information are input into the shared device switch prediction model to predict the number of startups in the next usage cycle, where the usage cycle includes multiple time periods, and the startup number information includes each of the The number of startups of the shared equipment distribution points in each of the time periods, the shared equipment switching prediction model is trained through machine learning using a training data set, and each set of training data in the training data set includes: Device distribution information of the previous use cycle, device use information of the previous use cycle of the historical use cycle, and the number of boots in each time period in the historical use cycle; the first control unit is used for the next use cycle. At the start time of each of the time periods of the cycle, the number of powered ons of the shared devices at each shared device distribution point is controlled according to the information on the number of powered ons.

According to yet another aspect of the embodiments of the present invention, a computer-readable storage medium is further provided, the computer-readable storage medium includes a stored program, wherein the program executes any one of the methods.

According to another aspect of the embodiments of the present invention, a processor is also provided, and the processor is configured to run a program, wherein any one of the methods is executed when the program is run.

According to yet another aspect of the embodiments of the present invention, a shared service platform is also provided, including: a shared device, a server and one or more processors, a memory, a display device, and one or more programs, wherein the one or more programs A plurality of programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including for performing any of the described methods.

In the embodiment of the present invention, in the above-mentioned control method for a shared device, first, the device distribution information of the current use cycle and the current device use information of the use cycle are obtained, and the current device distribution information and the current device use information are obtained. The device distribution information includes the number of the shared devices at each shared device distribution point, and the device usage information includes the usage time and usage times of the shared device; then, the current device distribution information and the current device usage The information is input into a shared device switch prediction model to predict the information on the number of powered ons of the shared device in the next usage period, where the usage cycle includes multiple time periods, and the information on the number of powered ons includes each of the shared device distribution points. The number of boots in the time period, the shared device switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the training data set includes: the equipment of the previous use period of the historical use period distribution information, equipment usage information of the previous usage cycle of the historical usage cycle, and the number of boots in each time period in the historical usage cycle; finally, at the start of each time segment of the next usage cycle, The number of the shared devices being powered on at each of the shared device distribution points is controlled according to the information on the number of powered ons. In this method, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

Description of drawings

The accompanying drawings that form a part of the present application are used to provide further understanding of the present application, and the schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute improper limitations on the present application. In the attached image:

FIG. 1 shows a flowchart of a method for controlling a sharing device according to an embodiment of the present application;

FIG. 2 shows a schematic diagram of a communication connection between a sharing device and a client according to an embodiment of the present application;

FIG. 3 shows a schematic diagram of a control apparatus of a sharing device according to an embodiment of the present application;

FIG. 4 shows a flowchart of a shared device subscription according to an embodiment of the present application.

Detailed ways

It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and/or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and/or combinations thereof.

It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element can be "directly connected" to the other element or "connected" to the other element through a third element.

As mentioned in the background art, in the prior art, the low utilization rate of the device in the on-state of the shared device leads to high energy consumption. In order to solve the above problem, in a typical implementation of the present application, a control method of the shared device is provided. Methods, apparatus, computer-readable storage media, processors, and shared service platforms.

According to an embodiment of the present application, a method for controlling a shared device is provided.

FIG. 1 is a flowchart of a method for controlling a shared device according to an embodiment of the present application. As shown in Figure 1, the method includes the following steps:

Step S101, obtain the equipment distribution information of the current use period and the current equipment use information of the above-mentioned use period, obtain the current equipment distribution information and the current equipment use information, and the above-mentioned equipment distribution information includes the number of the above-mentioned shared equipment of each shared equipment distribution point , the above-mentioned device usage information includes the use time and frequency of the above-mentioned shared device;

Step S102, inputting the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information into the shared equipment switch prediction model, and predicting the boot quantity information of the above-mentioned shared equipment in the next above-mentioned use period, the above-mentioned use period includes multiple time periods, and the above-mentioned power-on quantity information. Including the number of startups in each of the above-mentioned time periods of each of the above-mentioned shared equipment distribution points, the above-mentioned shared equipment switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the above-mentioned training data set includes: The device distribution information of the previous use period, the device use information of the previous use period of the above-mentioned historical use period, and the number of boots in each time period within the above-mentioned historical use period;

Step S103 , at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, according to the above-mentioned information on the above-mentioned power-on quantity, the number of the above-mentioned shared devices in each of the above-mentioned shared-equipment distribution points is controlled.

In the above-mentioned control method of shared equipment, first, obtain the equipment distribution information of the current use period and the current equipment use information of the above-mentioned use period, and obtain the current equipment distribution information and current equipment use information, and the equipment distribution information includes the distribution of each shared equipment. The number of the above-mentioned shared equipment at the point, the above-mentioned equipment usage information includes the use time and the number of times of the above-mentioned shared equipment; then, the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information are input into the shared equipment switch prediction model, and predict the next above-mentioned use cycle The information on the number of startups of the above-mentioned shared equipment, the above-mentioned use period includes a plurality of time periods, the above-mentioned information on the number of startups includes the number of startups in each of the above-mentioned time periods at the distribution points of each of the above-mentioned shared equipment, and the above-mentioned shared equipment switch prediction model is obtained by using the training data set. Obtained by machine learning training, each set of training data in the above training data set includes: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the above-mentioned historical use period, and the above-mentioned historical use period. Finally, at the start time of each of the above time periods of the next above-mentioned use cycle, control the number of the above-mentioned shared devices in each of the above-mentioned shared-equipment distribution points according to the above-mentioned information on the above-mentioned power-on quantity. In this method, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

It should be noted that, as shown in FIG. 2 , the above-mentioned control method for a shared device can be applied to a building that includes a server and has a sharing function, wherein the building is provided with shared devices at different locations on different floors according to the actual distribution of personnel. point, mobile terminal. Wherein, the mobile terminal may be a mobile phone APP, a web page, a small program, etc., and is used by the user to perform reservation operations on the shared device, power on and use the currently off device, and the like. The server interacts with the mobile terminal and building equipment. When the user issues a command on the mobile terminal, the server can respond in time, control various operations of the shared equipment, and also control the switching of all equipment in the building at different times. The machine status is guaranteed to ensure the utilization rate of the construction equipment and reduce the standby time of the equipment. The utilization rate here refers to the utilization rate of the device in the power-on state.

It should also be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical sequence is shown in the flowcharts, in some cases , steps shown or described may be performed in an order different from that herein.

In an embodiment of the present application, at the start time of each of the above-mentioned time periods of the next above-mentioned use cycle, after controlling the number of the above-mentioned shared devices in each of the above-mentioned shared-equipment distribution points according to the above-mentioned information on the above-mentioned power-on quantity, the above-mentioned method further includes: determining a target sharing device, the above-mentioned target sharing device is the above-mentioned sharing device selected by the user; obtains the working status of the above-mentioned target sharing device, and returns a reservation instruction to the above-mentioned client according to the above-mentioned working status, and the above-mentioned reservation instruction includes a reservationable instruction and a non-reservable instruction; receiving The usage instruction sent by the client, the usage instruction includes a first usage instruction and a second usage instruction, the first usage instruction is an instruction to reserve the use of the target shared device, and the second usage instruction is an instruction to open the target shared device ; Return reservation result information to the client terminal according to the above-mentioned use instruction, and the above-mentioned reservation result information includes reservation success information and reservation failure information. Specifically, the server determines whether a reservation can be generated according to the working status of the target shared device, for the client to choose, and the client generates a use instruction according to the selection result and sends it to the server, and the server returns the reservation result information to the above-mentioned client, completing the reservation process. .

In an embodiment of the present application, determining the target shared device includes: receiving a device reservation request sent by the above-mentioned client; returning the name and location information of all the above-mentioned shared devices in response to the above-mentioned use device reservation request; receiving selection information and The target sharing device is determined according to the selection information, the selection information is generated based on the selection operation performed on the names and location information of all the sharing devices, and the target name is the name of the sharing device selected by the user. Specifically, the user selects a device according to the location information of the shared device and its own location, and returns the name of the selected device to determine the target shared device.

In an embodiment of the present application, returning the reservation instruction to the client according to the above working state includes: when the working state of the target shared device is the power-on use state, returning the use waiting time and the above non-reservable instruction, the above The power-on use state is that the above-mentioned target shared device is in the power-on state and is in use, and the above-mentioned use waiting time is the waiting time required to use the above-mentioned target shared device; in the case where the working state of the above-mentioned target shared device is the power-on state or the power-off state to return to the above-mentioned reservationable command. Specifically, if the above-mentioned target shared device is turned on and in use, it cannot be reserved, that is, the use waiting time and the above-mentioned non-reservable instruction are returned. If the working status is turned on and not in use or turned off, you can make an appointment and return to the above-mentioned appointmentable command.

In an embodiment of the present application, receiving the usage instruction from the client includes: when the working state of the target shared device is in a shutdown state, sending startup cost information to the client; receiving the second usage instruction, the The second usage instruction is an instruction generated by the client terminal based on paying the startup fee. Specifically, the server needs to pay a startup fee when it returns to boot. The user confirms that the device is turned on and the payment is successful, and generates a second usage instruction and sends it to the server. The boot fee guides the user to use the shared device that is powered on, and improves the utilization rate of the device in the powered-on state.

In an embodiment of the present application, returning the reservation result information to the client terminal according to the above-mentioned usage instruction includes: in the case of receiving the above-mentioned first usage instruction or the above-mentioned second usage instruction, returning the above-mentioned reservation success information and service fee To the client, the service fee is the fee for using the shared device; if the first use instruction and the second use instruction are not received within the first predetermined time, the reservation failure information is returned to the client. Specifically, after receiving the above-mentioned first use instruction or the above-mentioned second use instruction, and the reservation is successful, the server returns the reservation success information and the service fee to be paid for using the device, and reserves a certain period of time, and the user goes to the device point.

In an embodiment of the present application, after the use of the target shared device is completed, the method further includes: within the same time period, the working state of the target shared device before the reservation is a shutdown state and the used target shared device is in a state of shutdown. In the case that the power-on and unused state reaches the second predetermined time, the above-mentioned target shared device is controlled to be turned off. Specifically, the process from before the reservation of the above-mentioned target shared device to being in an unused state for a second predetermined time after use is in the same time period. After the user completes using the device for a single time, the server reserves a certain period of time at this time, and then the device Shutdown operation saves energy consumption.

The embodiment of the present application further provides a control apparatus for a shared device. It should be noted that the control device for a shared device in the embodiment of the present application may be used to execute the control method for a shared device provided by the embodiment of the present application. The following describes the control apparatus of the shared device provided by the embodiment of the present application.

FIG. 3 is a schematic diagram of a control apparatus of a shared device according to an embodiment of the present application. As shown in Figure 3, the device includes:

The obtaining unit 10 is used to obtain the device distribution information of the current use cycle and the current device use information of the above-mentioned use cycle, and obtain the current device distribution information and the current device use information, and the above-mentioned device distribution information includes the shared devices of each shared device distribution point The above-mentioned equipment usage information includes the use time and frequency of the above-mentioned shared equipment;

The prediction unit 20 is configured to input the above-mentioned current device distribution information and the above-mentioned current device usage information into the shared device switch prediction model, and predict the information on the number of boots in the next above-mentioned use period, where the above-mentioned use period includes multiple time periods, and the above-mentioned information on the number of boots includes: The number of startups in each of the above-mentioned time periods of each of the above-mentioned shared equipment distribution points, the above-mentioned shared equipment switch prediction model is trained through machine learning using a training data set, and each set of training data in the above-mentioned training data set includes: 1. Device distribution information of the usage cycle, device usage information of the previous usage cycle of the above-mentioned historical usage cycle, and the number of boots in each time period within the above-mentioned historical usage cycle;

The first control unit 30 is configured to, at the start time of each of the above-mentioned time periods of the next above-mentioned use cycle, control the number of the above-mentioned shared devices at each shared-equipment distribution point according to the above-mentioned information on the above-mentioned power-on quantity.

In the control device of the above-mentioned shared equipment, the obtaining unit obtains the equipment distribution information of the current use period and the current equipment use information of the above-mentioned use period, and obtains the current equipment distribution information and the current equipment use information. The above-mentioned equipment distribution information includes the distribution of each shared equipment. The number of the above-mentioned shared equipment at the point, and the above-mentioned equipment usage information includes the use time and the number of times of the above-mentioned shared equipment; the prediction unit inputs the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information into the shared equipment switch prediction model, and predicts the next above-mentioned use period. The information on the number of startups of the above-mentioned shared equipment, the above-mentioned use period includes a plurality of time periods, the above-mentioned information on the number of startups includes the number of startups in each of the above-mentioned time periods at the distribution points of each of the above-mentioned shared equipment, and the above-mentioned shared equipment switch prediction model is obtained by using the training data set. Obtained by machine learning training, each set of training data in the above training data set includes: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the above-mentioned historical use period, and the above-mentioned historical use period. The control unit controls the number of startups of the shared devices in each of the shared device distribution points according to the information on the number of startups at the start of each of the time periods in the next usage cycle. In the device, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so as to control each shared device according to the prediction result at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

In an embodiment of the present application, the above-mentioned apparatus further includes a reservation unit, and the above-mentioned reservation unit includes a determination module, an acquisition module, a receiving module and a sending module, wherein the above-mentioned determining module is configured to start each above-mentioned time period of the next above-mentioned use cycle At the moment, after controlling the number of the above-mentioned shared devices in each of the above-mentioned shared device distribution points according to the above-mentioned information on the above-mentioned power-on quantity, the target shared device is determined, and the above-mentioned target shared device is the above-mentioned shared device selected by the user; the above-mentioned acquisition module is used to obtain the above-mentioned target shared device the working state, and return the reservation instruction to the above-mentioned client according to the above-mentioned working state, and the above-mentioned reservation instruction includes an orderable instruction and a non-reservable instruction; the above-mentioned receiving module is used to receive the use instruction sent by the above-mentioned client, and the above-mentioned use instruction includes the first use instruction instruction and second use instruction, the above-mentioned first use instruction is an instruction to reserve the use of the above-mentioned target shared device, and the above-mentioned second use instruction is an instruction to open the above-mentioned target shared device; the above-mentioned sending module is used to return the reservation result information to the above-mentioned use instruction to In the above-mentioned client, the above-mentioned reservation result information includes reservation success information and reservation failure information. Specifically, the server determines whether a reservation can be generated according to the working status of the target shared device, for the client to choose, and the client generates a use instruction according to the selection result and sends it to the server, and the server returns the reservation result information to the above-mentioned client, completing the reservation process. .

In an embodiment of the present application, the determining module includes a first receiving sub-module, a first sending sub-module, and a second receiving sub-module, wherein the first receiving sub-module is configured to receive the device reservation sent by the client request; the above-mentioned first sending sub-module is used to return the names and location information of all the above-mentioned shared devices in response to the above-mentioned use equipment reservation request; the above-mentioned second receiving sub-module is used to receive selection information and determine the above-mentioned target sharing device according to the above-mentioned selection information , the above-mentioned selection information is generated based on the selection operation performed based on the names and location information of all the above-mentioned shared devices, and the above-mentioned target name is the name of the above-mentioned shared device selected by the user. Specifically, the user selects a device according to the location information of the shared device and its own location, and returns the name of the selected device to determine the target shared device.

In an embodiment of the present application, the obtaining module includes a second sending sub-module and a third sending sub-module, wherein the second sending sub-module is used when the working state of the target shared device is the power-on state , return the use waiting time and the above-mentioned non-reservable instruction, the above-mentioned power-on use state is that the above-mentioned target shared device is in the power-on state and is in use, and the above-mentioned use waiting time is the waiting time required to use the above-mentioned target shared device; the above-mentioned third sending sub-module uses In the case that the working state of the target shared device is a power-on and unused state or a power-off state, the above-mentioned reservation available instruction is returned. Specifically, if the above-mentioned target shared device is turned on and in use, it cannot be reserved, that is, the use waiting time and the above-mentioned non-reservable instruction are returned. If the working status is turned on and not in use or turned off, you can make an appointment and return to the above-mentioned appointmentable command.

In an embodiment of the present application, the receiving module includes a fourth sending sub-module and a third receiving sub-module, wherein the fourth sending sub-module is configured to, when the working state of the target shared device is a shutdown state, Sending startup cost information to the client; the third receiving sub-module is configured to receive the second usage instruction, where the second usage instruction is an instruction generated by the client based on paying the startup expense. Specifically, the server needs to pay a startup fee when it returns to boot. The user confirms that the device is turned on and the payment is successful, and generates a second usage instruction and sends it to the server. The boot fee guides the user to use the shared device that is powered on, and improves the utilization rate of the device in the powered-on state.

In an embodiment of the present application, the sending module includes a fifth sending sub-module and a sixth sending sub-module, wherein the fifth sending sub-module is used for receiving the first use instruction or the second use instruction In this case, the above-mentioned reservation success information and service fee are returned to the above-mentioned client, and the above-mentioned service fee is the fee for using the above-mentioned shared device; the above-mentioned sixth sending sub-module is used for not receiving the above-mentioned first use instruction and the above-mentioned first use instruction within the first predetermined time. In the case of the above-mentioned second use instruction, the above-mentioned reservation failure information is returned to the above-mentioned client terminal. Specifically, after receiving the above-mentioned first use instruction or the above-mentioned second use instruction, and the reservation is successful, the server returns the reservation success information and the service fee to be paid for using the device, and reserves a certain period of time, and the user goes to the device point.

In an embodiment of the present application, the above-mentioned apparatus further includes a second control unit, and the above-mentioned second control unit is configured to, within the same time period after the use of the above-mentioned target shared device is completed, the working state of the above-mentioned target shared device before the reservation is: When the target shared device is turned off and the used target shared device is turned on and not used for a second predetermined time, the target shared device is controlled to be shut down. Specifically, the process from before the reservation of the above-mentioned target shared device to being in an unused state for a second predetermined time after use is in the same time period. After the user completes using the device for a single time, the server reserves a certain period of time at this time, and then the device Shutdown operation saves energy consumption.

In order for those skilled in the art to understand the technical solutions of the present application more clearly, the technical solutions and technical effects of the present application will be described below with reference to specific embodiments.

Example

As shown in Figure 4, the reservation process for shared equipment includes the following steps:

Step 1: The user uses the mobile terminal to send a device reservation request;

Step 2: The server returns all devices and their location information;

Step 3: The user selects the device according to his own location;

Step 4: Determine whether the device is currently powered on, if so, go to Step 5, otherwise, go to Step 11;

Step 5: Determine whether the device is in use, if so, go to Step 6, otherwise, go to Step 8;

Step 6: The server returns the in-use instruction and the time it will take for the current device to be used;

Step 7: Go back to Step 3;

Step 8: The server returns f yuan for a single use of the device;

Step 9: The user determines whether to make a reservation on the mobile terminal, if so, go to Step 10, otherwise, the process ends;

Step 10: The server reserves a period of y, and the user goes to the device point to use, and the process ends;

Step 11: The user sends a command to use the device on the mobile terminal;

Step 12: The server needs to pay x yuan for the startup fee when it returns to startup;

Step 13: The user confirms to turn on the device. If yes, go to step 14, otherwise, go back to step 3;

Step 14: Whether the user pays successfully. If yes, go to step 15, otherwise, go back to step 3;

Step 15: If the reservation is successful, the server still needs to pay f yuan to use the device. At the same time, y time is reserved, the user goes to the device point, and after the user completes using the device for a single time, the server reserves z time at this time, and then shuts down the device, and the process ends. During the same time period, only for the device that was originally in the shutdown state but the user pays x to request to turn on the device, after the user completes the single use of the device, the server reserves z time at this time, and then shuts down the device, and the process ends.

The control device of the above-mentioned shared equipment includes a processor and a memory, and the above-mentioned acquisition unit, the prediction unit and the first control unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions. .

The processor includes a kernel, and the kernel calls the corresponding program unit from the memory. One or more kernels can be set, and by adjusting kernel parameters, the problem of high energy consumption caused by low utilization of devices sharing the power-on state of devices in the prior art can be solved.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory (flash RAM), the memory including at least one memory chip.

An embodiment of the present invention provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, the foregoing method is implemented.

An embodiment of the present invention provides a processor, where the above-mentioned processor is used to run a program, wherein the above-mentioned method is executed when the above-mentioned program is running.

An embodiment of the present application further provides a shared service platform, including: a shared device, a server and one or more processors, a memory, a display device, and one or more programs, wherein the one or more programs are stored in the above in memory, and configured to be executed by the one or more processors described above, the one or more programs described above comprising means for performing any one of the methods described above.

The above-mentioned shared service platform includes a shared device, a server and one or more processors, a memory, a display device and one or more programs, wherein the above-mentioned one or more programs are stored in the above-mentioned memory and are configured to be configured by the above-mentioned Executed by one or more processors, the one or more programs described above are included for performing any of the above-described methods. In this method, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

An embodiment of the present invention provides a device. The device includes a processor, a memory, and a program stored in the memory and running on the processor. The processor implements at least the following steps when executing the program:

Step S101, obtain the equipment distribution information of the current use period and the current equipment use information of the above-mentioned use period, obtain the current equipment distribution information and the current equipment use information, and the above-mentioned equipment distribution information includes the number of the above-mentioned shared equipment of each shared equipment distribution point , the above-mentioned device usage information includes the use time and frequency of the above-mentioned shared device;

Step S102, inputting the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information into the shared equipment switch prediction model, and predicting the boot quantity information of the above-mentioned shared equipment in the next above-mentioned use period, the above-mentioned use period includes multiple time periods, and the above-mentioned power-on quantity information. Including the number of startups in each of the above-mentioned time periods of each of the above-mentioned shared equipment distribution points, the above-mentioned shared equipment switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the above-mentioned training data set includes: The device distribution information of the previous use period, the device use information of the previous use period of the above-mentioned historical use period, and the number of boots in each time period within the above-mentioned historical use period;

Step S103 , at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, according to the above-mentioned information on the above-mentioned power-on quantity, the number of the above-mentioned shared devices in each of the above-mentioned shared-equipment distribution points is controlled.

The devices in this article can be servers, PCs, PADs, mobile phones, and so on.

The present application also provides a computer program product that, when executed on a data processing device, is adapted to execute a program initialized with at least the following method steps:

Step S101, obtain the equipment distribution information of the current use period and the current equipment use information of the above-mentioned use period, obtain the current equipment distribution information and the current equipment use information, and the above-mentioned equipment distribution information includes the number of the above-mentioned shared equipment of each shared equipment distribution point , the above-mentioned device usage information includes the use time and frequency of the above-mentioned shared device;

Step S102, inputting the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information into the shared equipment switch prediction model, and predicting the boot quantity information of the above-mentioned shared equipment in the next above-mentioned use period, the above-mentioned use period includes multiple time periods, and the above-mentioned power-on quantity information. Including the number of startups in each of the above-mentioned time periods of each of the above-mentioned shared equipment distribution points, the above-mentioned shared equipment switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the above-mentioned training data set includes: The device distribution information of the previous use period, the device use information of the previous use period of the above-mentioned historical use period, and the number of boots in each time period within the above-mentioned historical use period;

Step S103 , at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, according to the above-mentioned information on the above-mentioned power-on quantity, the number of the above-mentioned shared devices in each of the above-mentioned shared-equipment distribution points is controlled.

In the above-mentioned embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content may be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the above-mentioned units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of units or modules, and may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

If the above-mentioned integrated units are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable computer-readable storage medium. Based on such understanding, the technical solution of the present invention essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a computer-readable The storage medium includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the above-mentioned methods of the various embodiments of the present invention. The aforementioned computer-readable storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other various programs that can store programs medium of code.

From the above description, it can be seen that the above-mentioned embodiments of the present application achieve the following technical effects:

1), in the control method of the shared equipment of the present application, first, obtain the equipment distribution information of the current use cycle and the current equipment use information of the above-mentioned use cycle, obtain the current equipment distribution information and the current equipment use information, the above-mentioned equipment distribution information Including the number of the above-mentioned shared equipment of each shared equipment distribution point, and the above-mentioned equipment usage information includes the use time and the number of times of the above-mentioned shared equipment; Then, the above-mentioned current equipment distribution information and the above-mentioned current equipment use information are input into the shared equipment switch prediction model, and predict Information on the number of startups of the shared device in the next above-mentioned usage period, the usage period includes a plurality of time periods, the information on the number of startups includes the number of startups in each of the above-mentioned time periods at the distribution points of the shared devices, and the shared device switch prediction model is: Obtained through machine learning training using the training data set, each set of training data in the above-mentioned training data set includes: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the above-mentioned historical use period, and The number of startups in each time period in the above-mentioned historical use period; finally, at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, the number of startups of the shared devices at each of the shared device distribution points is controlled according to the information on the number of startups. In this method, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

2), in the control device of the shared equipment of the present application, the acquisition unit obtains the equipment distribution information of the current use cycle and the current equipment use information of the above-mentioned use cycle, obtains the current equipment distribution information and the current equipment use information, the above-mentioned equipment distribution information The number of the above-mentioned shared equipment including each shared equipment distribution point, and the above-mentioned equipment usage information includes the use time and the number of times of the above-mentioned shared equipment; the prediction unit inputs the above-mentioned current equipment distribution information and the above-mentioned current equipment usage information into the shared equipment switch prediction model, and predicts Information on the number of startups of the shared device in the next above-mentioned usage period, the usage period includes a plurality of time periods, the information on the number of startups includes the number of startups in each of the above-mentioned time periods at the distribution points of each of the shared devices, and the shared device switch prediction model is: Obtained through machine learning training using the training data set, each set of training data in the above-mentioned training data set includes: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the above-mentioned historical use period, and The number of startups in each time period in the above-mentioned historical use cycle; the control unit controls the number of startups of the shared devices at each of the shared device distribution points according to the information on the number of startups at the start of each of the time periods in the next usage cycle. In the device, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, which reduces the time that the shared device is in a standby state, saves energy consumption, and solves the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art.

3), the shared service platform of this application, comprises shared equipment, server and one or more processors, memory, display device and one or more programs, wherein, above-mentioned one or more programs are stored in above-mentioned memory, and Configured to be executed by the one or more processors described above, the one or more programs described above comprising means for performing any one of the methods described above. In this method, the shared device switch prediction model predicts the information on the number of startups in the next above-mentioned use cycle according to the current device distribution information and the current device usage information, so that at the start time of each of the above-mentioned time periods in the next above-mentioned use cycle, each shared device is controlled according to the prediction result. The number of the above-mentioned shared devices at the device distribution point is turned on, the time when the shared device is in a standby state is reduced, energy consumption is saved, and the problem of high energy consumption caused by the low utilization rate of the shared device in the powered-on state in the prior art is solved.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims (11)

1. A control method for a shared device, comprising: Obtain the device distribution information of the current usage cycle and the device usage information of the current usage cycle, and obtain the current device distribution information and the current device usage information, where the device distribution information includes the number of the shared devices at each shared device distribution point , the device usage information includes the usage time and usage times of the shared device; Inputting the current device distribution information and the current device usage information into a shared device switch prediction model, and predicting the information on the number of startups of the shared device in the next usage period, where the usage period includes a plurality of time periods, and the The power-on quantity information includes the power-on quantity of each of the shared device distribution points in each of the time periods, and the shared device switch prediction model is obtained through machine learning training using a training data set, and each set of training data in the training data set All include: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the historical use period, and the number of boots in each time period within the historical use period; At the start time of each of the time periods of the next use cycle, the number of the shared devices being powered on at each of the shared device distribution points is controlled according to the information on the number of powered ons. 2 . The method according to claim 1 , wherein, at the start time of each time period of the next use cycle, the control of the shared devices of the shared device distribution points is controlled according to the boot quantity information. 3 . After the number of boots, the method further includes: determining a target shared device, where the target shared device is the shared device selected by the user; Acquire the working status of the target shared device, and return a reservation instruction to the client according to the working status, where the reservation instruction includes a reservationable instruction and a non-reservable instruction; Receive a usage instruction sent by the client, where the usage instruction includes a first usage instruction and a second usage instruction, the first usage instruction is an instruction to reserve the use of the target shared device, and the second usage instruction is to enable an instruction for the target shared device; Return reservation result information to the client according to the use instruction, where the reservation result information includes reservation success information and reservation failure information. 3. The method according to claim 2, wherein determining the target shared device comprises: receiving a reservation request for using a device sent by the client; In response to the use device reservation request, return the name and location information of all the shared devices; Receive selection information and determine the target sharing device according to the selection information, the selection information is generated based on the selection operation performed based on the names and location information of all the sharing devices, and the target name is the user-selected The name of the shared device. 4. The method according to claim 2, wherein returning an appointment instruction to the client according to the working state comprises: In the case where the working state of the target shared device is the power-on use state, the use waiting time and the non-reservable instruction are returned, and the power-on use state is that the target shared device is in the power-on state and is in use, and the use The waiting time is the waiting time required to use the target shared device; In the case that the working state of the target shared device is a power-on and unused state or a power-off state, the reservation-available instruction is returned. 5. The method according to claim 2, wherein receiving the usage instruction of the client comprises: In the case that the working state of the target shared device is a shutdown state, sending the boot-up cost information to the client; The second usage instruction is received, where the second usage instruction is an instruction generated by the client based on paying the startup fee. 6. The method according to claim 2, wherein returning reservation result information to the client according to the use instruction, comprising: In the case of receiving the first use instruction or the second use instruction, returning the reservation success information and the service fee to the client, where the service fee is the fee for using the shared device; In the case that the first use instruction and the second use instruction are not received within a first predetermined time, the reservation failure information is returned to the client. 7. The method according to any one of claims 2 to 5, wherein after the target sharing device is used, the method further comprises: During the same time period, the target shared device is controlled to be shut down when the working state of the target shared device before the reservation is in the off state and the used target shared device is turned on and not in use for a second predetermined time. 8. A control device for a shared device, comprising: The acquisition unit is used to acquire the equipment distribution information of the current use period and the current equipment use information of the use period, and obtain the current equipment distribution information and the current equipment use information, and the equipment distribution information includes the sharing of each shared equipment distribution point. The number of devices, the device usage information includes the usage time and usage times of the shared device; A prediction unit, configured to input the current device distribution information and the current device usage information into a shared device switch prediction model, and predict the information on the number of startups in the next usage cycle, where the usage cycle includes multiple time periods, and the The information on the number of startups includes the number of startups at each of the shared device distribution points in each of the time periods, and the shared device switch prediction model is trained through machine learning using a training data set. Each set of training data in the training data set All include: equipment distribution information of the previous use period of the historical use period, equipment use information of the previous use period of the historical use period, and the number of boots in each time period within the historical use period; The first control unit is configured to, at the start time of each time period of the next use cycle, control the number of the shared devices at each shared device distribution point according to the information on the number of powered ons. 9 . A computer-readable storage medium, wherein the computer-readable storage medium comprises a stored program, wherein the program executes the method according to any one of claims 1 to 7 . 10 . 10 . A processor, wherein the processor is configured to run a program, wherein the method of any one of claims 1 to 7 is executed when the program is run. 11. A shared service platform, characterized by comprising: a shared device, a server and one or more processors, a memory, a display device and one or more programs, wherein the one or more programs are stored in the stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising for performing the method of any one of claims 1 to 7.

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