Integrated management method and system for shared equipment based on wireless positioning, and medium

Abstract

The invention relates to the technical field of communication control, in particular to a shared equipment comprehensive management method and system based on wireless positioning and a medium. According to the method, N sharing devices are equally divided into M groups according to position information initially, and the ratio of the sending times of each group in a preset time period and the data sending probability of the sharing devices are the same; collecting data sending time sequence data of the shared devices in each group in real time, calculating sending delay time and data sending amount, counting the number of the shared devices with the sending delay time exceeding a set threshold value, and adjusting the sending probability of the shared devices in the group and the sending frequency ratio of the group according to the number of the shared devices; and inputting the adjusted parameters into a sending prediction model to generate sending control information, sending the sending control information to each shared device, and sending data according to the control information by each shared device. According to the invention, the problem of wireless network congestion is solved, the data transmission efficiency of the shared device is improved, the network congestion is reduced, and the utilization rate of communication resources is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication control technology, and in particular to a method, system and medium for integrated management of shared equipment based on wireless positioning. Background Art

[0002] With the development of the sharing economy, shared devices such as shared bicycles and shared cars have been widely used in cities. These devices usually need to upload status information to the management unit through a wireless network for real-time monitoring and management. However, in actual applications, due to the large number of shared devices and the surge in data transmission under specific circumstances (such as peak hours in the morning and evening), the fixed-period upload method used in the prior art is prone to wireless communication congestion and data loss. For example, when the communication quality deteriorates and multiple retransmissions are required or a large number of shared devices are parked together, it will bring great pressure to the data communication of the management unit. Therefore, how to improve the data transmission efficiency of shared devices and reduce network congestion has become an urgent problem to be solved. Similar prior art includes a Chinese patent with a publication number of CN118830322A, which proposes an uplink transmission method, device and storage medium. The method includes: a terminal device receives transmission conflict information sent by a network device, determines a first time domain position, and controls uplink transmission according to the transmission conflict information and the first time domain position. Among them, the first time domain position may include a time domain position shared by uplink frequency domain resources and downlink frequency domain resources. In this way, for the situation where there is a first time domain position shared by uplink frequency domain resources and downlink frequency domain resources in a full-duplex scenario, the uplink transmission of the first time domain position can be controlled by transmitting conflict information, thereby improving the transmission reliability. In addition, similar prior art also includes a US patent with publication number US20200275440A1, which proposes a method and device for wireless communication. The UE receives a first signaling and operates a first radio signal in K time domain resources. The first signaling is used to determine K time domain resources, K is a positive integer; the first radio signal carries a first bit block, the first time domain resource size and the target parameter are used to determine the size of the first bit block, and at least one of the K time domain resources is used to determine the size of the first time domain resource; the target parameter is the first or second parameter; whether the target parameter is the first parameter or the second parameter is related to the size of the first time domain resource, or whether the target parameter is the first parameter or the second parameter is related to K. Although both of the above two patent documents solve the data transmission delay problem and data transmission reliability, the utilization rate of communication resources is not high enough. Summary of the invention

[0003] The present application provides a method, system and medium for comprehensive management of shared devices based on wireless positioning, which are used to increase data transmission speed and improve communication resource utilization.

[0004] The present invention provides a method for integrated management of shared devices based on wireless positioning, the method comprising: Step S1: In an initial state, the plurality of shared devices are evenly divided into M groups according to location information, the number of transmissions of each group in a preset time period accounts for the same proportion, and the data transmission probability of each shared device in a data transmission period corresponding to each group is the same; Step S2: collecting the transmission timing data of each shared device in each group in real time, and calculating the transmission delay time and data transmission amount of each shared device; Step S3: obtaining a first number of first sharing devices and a second number of second sharing devices, and adjusting the sending probability of each of the sharing devices and the proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; Step S4: inputting the adjusted transmission parameters of the shared device into the transmission prediction model to obtain predicted transmission control information and predicted delay time, and repeating step S3 according to the predicted delay time to obtain optimal transmission control information, and sending the optimal transmission control information to the corresponding shared device, wherein the transmission parameters include the transmission probability of the shared device, the data transmission amount, the network status and the proportion of the number of transmission times of the group in which it is located; Step S5: The shared device receives and sends data based on the optimal sending control information.

[0005] As a preferred technical solution of the present invention, when collecting status information of shared devices, the devices are periodically redivided into M groups according to the data transmission amount of each shared device in each group within the preset time period, wherein the N shared devices with the smallest difference in data transmission amount are divided into the same group, wherein the transmission probability of the shared devices in each group is the same, and the ratio of the first data transmission total amount of the group to the second data transmission total amount of all the shared devices is used as the new transmission frequency ratio of the group.

[0006] As a preferred technical solution of the present invention, adjusting the sending probability of each of the shared devices based on the first number and the second number includes: Based on the sending timing data of the shared device, the sending delay time and data sending amount of each shared device in the group are calculated in real time, and the first number of the first shared devices in the group corresponding to the sending delay time greater than or equal to the set threshold and the second number of the second shared devices in the group corresponding to the sending delay time less than the set threshold are counted. When the first number is less than the second number, the sending probability of the first shared device in the group is increased; at the same time, the sending probability of the second shared device is reduced, wherein after the sending probability of the second shared device is adjusted, the sending delay time of the second shared device is less than or equal to the set threshold.

[0007] As a preferred technical solution of the present invention, when the first number is less than the second number, and the sending delay time of each of the first shared devices cannot be less than or equal to the set threshold after adjusting the sending probability of the second shared device, or when the first number corresponding to the group is greater than or equal to the second number, the proportion of the number of times the group is sent within the preset time period is increased, and at the same time, the proportion of the number of times the group has the smallest corresponding maximum sending delay time is reduced, wherein, when the proportion of the number of times the group is sent is increased, the sending probability of the first shared device in the group is simultaneously increased, and the sending probability of the second shared device is reduced.

[0008] As a preferred technical solution of the present invention, obtaining optimal prediction control information includes: Inputting the transmission parameter adjusted by the shared device into the transmission prediction model, obtaining the predicted transmission control information and the predicted delay time, and when the predicted delay time is greater than the set threshold, repeating step S3 to readjust the transmission parameter; When the predicted delay time is less than or equal to a set threshold and the change of the transmission parameter compared with the transmission parameter before adjustment is the smallest, the predicted transmission control information corresponding to the predicted delay time is used as the optimal transmission control information.

[0009] As a preferred technical solution of the present invention, the training of the sending prediction model includes: The proportion of transmission times in the historical data of each group, the network status, the transmission control information corresponding to each shared device, the amount of transmission data and the transmission delay time are used as training data for the transmission prediction model, wherein the transmission prediction model is an adversarial training model, and the predicted transmission control information and the predicted transmission delay time are obtained through the transmission parameters and the transmission prediction model.

[0010] As a preferred technical solution of the present invention, in each of the groups, the number of shared devices is greater than or equal to K, where the value of K is greater than or equal to 2.

[0011] As a preferred technical solution of the present invention, when a new shared device joins, the group corresponding to the shortest maximum sending delay time is added first.

[0012] The present invention also provides a shared equipment integrated management system based on wireless positioning, which is used to implement the above method, and the system includes: A grouping unit, used for, in an initial state, evenly dividing the plurality of the shared devices into M groups according to the location information, wherein the number of transmissions of each group in a preset time period accounts for the same proportion, and the probability of data transmission of each shared device in a data transmission period corresponding to each group is the same; A collecting unit, used to collect the sending timing data of each of the shared devices in each of the groups in real time, and calculate the sending delay time and data sending amount of each of the shared devices; A management unit, configured to obtain a first number of first sharing devices and a second number of second sharing devices, and adjust a sending probability of each of the sharing devices and a proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; A prediction unit, configured to input the adjusted sending parameters of the shared device into a sending prediction model to obtain predicted sending control information and predicted delay time, and repeat step S3 according to the predicted delay time to obtain optimal sending control information, and send the optimal sending control information to the corresponding shared device, wherein the sending parameters include the sending probability of the shared device, the data sending amount, the network status and the proportion of the number of sending times of the group in which it is located; The shared device is used to receive and send data based on the optimal sending control information.

[0013] The present invention also provides a computer-readable medium, on which instructions are stored, and the above method is implemented when the instructions are executed by a processor.

[0014] The beneficial effects of the present invention are as follows: The present invention realizes fair allocation of communication resources by evenly grouping shared devices in the initial state to ensure that each group has the same proportion of transmission times and data transmission probability within a preset time period. Secondly, by collecting the transmission timing data of shared devices in real time, the system can accurately calculate the transmission delay time and data transmission amount of each device, providing data support for subsequent dynamic adjustment. When it is detected that the number of devices whose sending delay time exceeds the set threshold has changed, the system will adjust the sending probability of each device and the proportion of group sending times based on these data to optimize the allocation of communication resources. In addition, the patent also introduces a sending prediction model, which generates more accurate sending control information through adversarial training to further improve the efficiency and reliability of data transmission. The training data of the model includes the historical sending times, network status, sending control information, sending data volume and sending delay time, so that the prediction results are closer to actual needs. Through this method, the system can better cope with the situation where there are a large number of shared devices and uneven data transmission needs, reduce network congestion, and improve the utilization of communication resources. Through the mutual cooperation of the above-mentioned technical solutions, by dynamically adjusting the sending parameters of shared devices and introducing sending prediction models, the problem of wireless network congestion is effectively solved, the data transmission efficiency of shared devices is improved, network congestion is reduced, and the utilization of communication resources is improved, providing an efficient and reliable communication control technical solution for device management in the sharing economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a flow chart of the comprehensive management method of shared devices based on wireless positioning of the present invention; Figure 2 A schematic diagram of an embodiment of a method for acquiring optimal predictive control information of a shared device according to the present invention; Figure 3 The present invention is a structural diagram of a comprehensive management system for shared equipment based on wireless positioning. DETAILED DESCRIPTION

[0017] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] The present invention provides a method, system and medium for comprehensive management of shared devices based on wireless positioning, aiming to solve the problem of wireless network congestion faced by shared devices during data transmission, and improve data transmission efficiency and communication resource utilization. For ease of understanding, the specific process of the embodiment of the present application is described below. Figure 1 As shown, an embodiment of the shared device integrated management method based on wireless positioning in the embodiment of the present application includes: Step S1: In an initial state, the plurality of shared devices are evenly divided into M groups according to location information, the number of transmissions of each group in a preset time period accounts for the same proportion, and the data transmission probability of each shared device in a data transmission period corresponding to each group is the same; Specifically, when the above-mentioned shared device information is collected through a wireless network, due to the large number of shared devices, when uploading status information to the management unit, in the prior art, the above-mentioned shared devices mostly use a fixed periodic upload method. When the amount of data is relatively fixed, wireless communication will not be congested. However, for shared devices in specific circumstances, a surge in the amount of transmitted data will cause communication congestion or data loss. For example, shared bicycles require multiple retransmissions when the communication quality decreases, or concentrated parking during peak hours in the morning and evening will cause great pressure on the data communication of the corresponding management unit. At this time, a method that can adapt to this surge in communication volume in real time is needed. In the initial state, N shared devices are evenly divided into M groups according to their location information. groups, where N is a positive integer greater than or equal to 4, and M is a positive integer greater than or equal to 2. The location information can be obtained through wireless positioning technology. The shared devices in each group are relatively close in geographical location, which can reduce the interference of wireless signal transmission and improve communication efficiency. In the preset time period, the number of transmissions of each group accounts for the same proportion, which means that each group has the same transmission opportunity in the time period, ensuring the fairness of communication between the groups. In each group, each shared device has the same probability of data transmission during the data transmission cycle. This ensures the fairness of communication between the shared devices in the group, avoiding the situation where some devices frequently send data while other devices have fewer transmission opportunities. Through the above technical solution, it is ensured that each group and the shared devices in the group have the same transmission opportunity in the initial state, avoiding the unfair allocation of communication resources. By grouping according to location information, the interference of wireless signal transmission is reduced and the communication efficiency is improved.

[0019] Step S2: collecting the transmission timing data of each shared device in each group in real time, and calculating the transmission delay time and data transmission amount of each shared device; Specifically, the data sending timing data of each shared device in each group is collected in real time. The data sending timing data includes data sending frames and data response frames. The sending time and receiving time of each shared device can be obtained through these data. The sending delay time of each shared device is calculated based on the data sending frames and data response frames. The sending delay time refers to the time interval from the shared device sending data to the management unit receiving the data. The data sending amount of each shared device in a preset time period is counted. The data sending amount reflects the data transmission demand of each shared device. Through the above technical solution, the communication status of each shared device can be understood in time, and accurate data support can be provided for subsequent adjustments. By accurately calculating the sending delay time and data sending amount, the communication efficiency and demand of each shared device can be accurately evaluated.

[0020] Step S3: obtaining a first number of first sharing devices and a second number of second sharing devices, and adjusting the sending probability of each of the sharing devices and the proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; Specifically, by calculating the number of shared devices (first number) whose transmission delay time is greater than a set threshold and the number of shared devices (second number) whose transmission delay time is less than a set threshold, the transmission probability of each shared device is adjusted based on the first number and the second number. Specifically, when the first number is less than the second number, the transmission probability of the first shared device (the device whose transmission delay time is greater than the set threshold) is increased, and the transmission probability of the second shared device (the device whose transmission delay time is less than the set threshold) is reduced, so as to ensure that the transmission delay time of the second shared device after adjustment is still less than or equal to the set threshold, and the proportion of the number of transmissions of each group is adjusted based on the first number and the second number. When the first number is greater than the second number, the proportion of the number of transmissions of the group within the preset time period is increased, and the proportion of the number of transmissions of the group with the smallest maximum transmission delay time is reduced. Through the above technical solution, changes in the communication needs of shared devices can be effectively responded to, data transmission efficiency can be improved, and network congestion can be reduced and communication resource utilization can be improved by giving priority to the transmission opportunities of devices with longer transmission delay times.

[0021] Step S4: inputting the adjusted transmission parameters of the shared device into the transmission prediction model to obtain predicted transmission control information and predicted delay time, and repeating step S3 according to the predicted delay time to obtain optimal transmission control information, and sending the optimal transmission control information to the corresponding shared device, wherein the transmission parameters include the transmission probability of the shared device, the data transmission amount, the network status and the proportion of the number of transmission times of the group in which it is located; Step S5: The shared device receives and sends data based on the optimal sending control information.

[0022] Specifically, the adjusted proportion of group sending times and the sending probability of each shared device are used as sending parameters of the shared device, and the sending parameters of each group are input into the sending prediction model to generate predicted sending control information and predicted delay time for each shared device, and the sending parameters are dynamically adjusted according to the predicted delay time, and the predicted sending control information corresponding to the predicted delay time being less than or equal to the set threshold and the sending parameters having the smallest change compared to the sending parameters before adjustment is used as the optimal sending control information, and sent to the corresponding shared device for guiding data sending of the shared device, wherein the data uploaded by the shared device to the management unit includes positioning data. Through the above technical solution, data conflicts and retransmissions can be effectively reduced, data transmission efficiency can be improved, it can be ensured that each shared device sends data at an appropriate time, and the reliability and stability of data transmission can be improved.

[0023] Furthermore, when status information of the shared devices is collected, the shared devices are periodically redivided into M groups according to the amount of data sent by each shared device in each group within the preset time period, wherein the N shared devices with the smallest difference in data sending amount are divided into the same group, wherein the sending probability of the shared devices in each group is the same, and based on the ratio of the first total data sending amount of the group to the second total data sending amount of all the shared devices, the ratio is used as the new proportion of the number of sending times of the group.

[0024] Specifically, when status information of the above-mentioned shared devices is collected, although the sending probability of each shared device has been adjusted by the different data sending amounts of different shared devices in the group, when the first data amount corresponding to the first shared device in the above-mentioned group, i.e., the shared device with a larger data sending amount, is greater than the second data of the second shared device, or when the above-mentioned first amount is less than the above-mentioned second amount, the sending delay time of each first shared device cannot be satisfied by adjusting the sending probability of the second shared device to be less than or equal to the set threshold, so as to increase the proportion of the sending times of the corresponding group in the above-mentioned preset time period. However, due to the different data sending amounts of different shared devices in each group, the corresponding communication resources, i.e., the unit time for each of the above-mentioned shared devices to send data, cannot be aligned. There will be waste of communication resources. In order to further improve the data transmission efficiency and reduce the waste of communication resources, a clustering algorithm is used to periodically obtain M clustering clusters, i.e., groups, according to the data transmission amount of each of the above-mentioned shared devices in each group within the above-mentioned preset time period. Since the data transmission amount of the shared devices in each of the above-mentioned groups is slightly different, the transmission probability of the shared devices in each group is the same. The ratio of the total first data transmission amount of all the above-mentioned shared devices in the above-mentioned group within the above-mentioned preset time period to the total second data transmission amount of the shared devices in all the groups is taken as the proportion of the number of transmissions of the above-mentioned group within the above-mentioned preset time period. Through the above-mentioned technical solution, the data transmission efficiency is further improved, and the utilization rate of communication resources is also improved.

[0025] Further, adjusting the transmission probability of each of the shared devices in the group based on the first number and the transmission delay time corresponding to the shared device includes: Based on the sending timing data of the shared device, the sending delay time and data sending amount of each shared device in the group are calculated in real time, and the first number of the first shared devices in the group corresponding to the sending delay time greater than or equal to the set threshold and the second number of the second shared devices in the group corresponding to the sending delay time less than the set threshold are counted. When the first number is less than the second number, the sending probability of the first shared device in the group is increased; at the same time, the sending probability of the second shared device is reduced, wherein after the sending probability of the second shared device is adjusted, the sending delay time of the second shared device is less than or equal to the set threshold.

[0026] Specifically, the above-mentioned sending timing data includes data sending frames and data response frames. Based on the above-mentioned data sending frames, the data sending time and the data sending amount are obtained, and the data receiving time is obtained according to the above-mentioned data response frame, and the difference between the above-mentioned data receiving time and the above-mentioned data sending time is used as the sending delay time of the corresponding shared device to send data. By respectively counting the first number of the first shared devices corresponding to the above-mentioned sending delay time greater than or equal to the above-mentioned set threshold and the second number of the second shared devices corresponding to the above-mentioned sending delay time less than the above-mentioned set threshold in each of the above-mentioned groups, wherein the above-mentioned shared devices include the above-mentioned first shared devices and the above-mentioned second shared devices, and the above-mentioned first number and the above-mentioned second number reflect the imbalance state of the communication data amount in the above-mentioned groups. Since the communication resources are divided according to groups, that is, divided according to the sending cycle, each group corresponds to a sending cycle, and the initial state In this state, in each sending cycle, the sending probabilities of different shared devices in the same group are the same. As the amount of communication data between shared devices changes, especially when the number of the first shared devices is less than or equal to the second number of the second shared devices, by increasing the sending probability of the first shared device in the sending cycle, since the communication resources of the group are constant, the sending probability of the second shared device in the group should also be reduced accordingly. At the same time, it is also necessary to ensure that the second shared device releases the communication resources while ensuring its sending efficiency, that is, the sending delay time corresponding to the second shared device is less than the set threshold. Through the above technical solution, when the communication data of a few shared devices in the same group increases, the sending probability in the corresponding group sending cycle is dynamically adjusted to improve data transmission efficiency and reduce network congestion. This is not only fast but also has a small adjustment range.

[0027] Further, when the above-mentioned first number is less than the second number, and after adjusting the sending probability of the second shared device, the sending delay time of each of the first shared device still cannot be satisfied to be less than or equal to the set threshold, or when the first number corresponding to the group is greater than or equal to the second number, the proportion of the number of times the group is sent within the preset time period is increased, and the proportion of the number of times the group has the smallest corresponding maximum sending delay time is reduced, wherein, when the proportion of the number of times the group is sent is increased, the sending probability of the first shared device in the group is also increased, and the sending probability of the second shared device is reduced.

[0028] Specifically, when the first number of the above-mentioned first shared devices with a larger amount of data transmitted in the corresponding group is larger and is greater than or equal to the second number of the second shared devices with a smaller amount of data transmitted, that is, when the first number of the first shared devices that need to adjust the sending probability is larger, or when the first number of the above-mentioned first shared devices is smaller than the second number of the above-mentioned second shared devices, after adjusting the sending probability of the above-mentioned first shared devices, while reducing the sending probability of the above-mentioned second shared devices, it is still not possible to meet the situation that the sending delay time of each of the above-mentioned first shared devices is less than the above-mentioned set threshold, that is, the communication resources released by the above-mentioned second shared devices are insufficient to meet the needs of the above-mentioned first shared devices. At this time, by adjusting the sending probability of the above-mentioned first shared devices, the sending delay time of each of the above-mentioned first shared devices is less than the above-mentioned set threshold. Suppose that the proportion of the number of transmissions of the group to which the above-mentioned first shared device belongs is increased within a time period, wherein the above-mentioned preset time period includes at least 2M group transmission cycles. This method is equivalent to increasing the communication resources of the group. Therefore, the transmission probability of the above-mentioned first shared device can be further improved, and the transmission probability of the above-mentioned second shared device can be reduced, so that the above-mentioned group can increase the minimum proportion of the above-mentioned number of transmissions to meet the communication resource requirements of each shared device in the group, and at the same time reduce the proportion of the number of transmissions of the group with the smallest maximum transmission delay time, that is, reduce the proportion of the number of transmissions of the group with the smallest amount of data sent. Through the above-mentioned technical solution, the utilization rate of communication resources can be further improved, and communication delays can be reduced.

[0029] Furthermore, the best predictive control information is obtained, such as Figure 2 As shown, including: Inputting the transmission parameter adjusted by the shared device into the transmission prediction model, obtaining the predicted transmission control information and the predicted delay time, and when the predicted delay time is greater than the set threshold, repeating step S3 to readjust the transmission parameter; When the predicted delay time is less than or equal to a set threshold and the change of the transmission parameter compared with the transmission parameter before adjustment is the smallest, the predicted transmission control information corresponding to the predicted delay time is used as the optimal transmission control information.

[0030] Specifically, after each adjustment of the transmission probability of the above-mentioned shared device or the proportion of the number of transmissions of the group to which it belongs, it is necessary to input the above-mentioned adjusted transmission parameters into the above-mentioned, obtain the predicted transmission control information and predicted delay time corresponding to the above-mentioned transmission parameters, and compare the above-mentioned predicted delay time with the above-mentioned set threshold. When the above-mentioned predicted delay time is greater than the above-mentioned set threshold, repeat the above-mentioned step S3 to readjust the above-mentioned transmission parameters. When the above-mentioned predicted delay time is less than or equal to the above-mentioned set threshold, judge whether the above-mentioned predicted transmission control information is the best transmission control information according to the difference between the transmission parameters of the above-mentioned shared device and that before adjustment. The smaller the difference between the transmission parameters of the above-mentioned shared device and that before adjustment, the higher the utilization rate of communication resources. Therefore, the above-mentioned predicted transmission parameters corresponding to the above-mentioned transmission parameters that meet the above-mentioned predicted delay time less than or equal to the above-mentioned set threshold and the above-mentioned transmission parameters are the smallest in the adjustment amount are used as the above-mentioned best transmission control information, and the above-mentioned best transmission control information is sent to the corresponding above-mentioned shared device. The transmission control information at least includes the timing information of the data transmission of the shared device, that is, the transmission time. Through the above-mentioned technical solution, not only the data transmission efficiency can be improved, but also the utilization rate of communication resources can be maximized.

[0031] Furthermore, the sending prediction model training includes: The proportion of transmission times in the historical data of each group, the network status, the transmission control information corresponding to each shared device, the amount of transmission data and the transmission delay time are used as training data for the transmission prediction model, wherein the transmission prediction model is an adversarial training model, and the predicted transmission control information and the predicted transmission delay time are obtained through the transmission parameters and the transmission prediction model.

[0032] Specifically, the proportion of the number of transmissions of each group in the historical time period is collected. The proportion of transmissions refers to the ratio of the number of times each group sends data in the preset time period to the total number of transmissions of all groups. This data reflects the transmission frequency of each packet and is one of the important characteristics of the transmission prediction model. The network status includes signal strength, channel quality and interference level. These data reflect the real-time status of the wireless network and have an important impact on the prediction of the transmission control information. The transmission control information received by each shared device in the historical time period is collected. The transmission control information at least includes the transmission time. The amount of data sent by each shared device in the historical time period is collected. The amount of data sent reflects the data transmission demand of each shared device and is an important basis for adjusting the transmission probability and the proportion of transmissions. The above-mentioned The transmission prediction model includes a generator and a discriminator. The generator is a neural network model. Its input is the proportion of packet transmission times in historical data, network status, the amount of data transmitted by the shared device, and the transmission delay time. The output is the predicted transmission control information and the predicted transmission delay time. The goal of the generator is to generate prediction information that is as similar as possible to the actual transmission control information and transmission delay time. The above prediction information includes the predicted transmission control information and the predicted transmission delay time. The discriminator judges whether the information is true by inputting the prediction information generated by the generator and the real information. The above real information is the actual transmission control information of the shared device and the corresponding transmission delay time. Through the above technical solution, an accurate transmission prediction model can be obtained, laying the foundation for obtaining the best transmission control information.

[0033] Furthermore, in each of the groups, the number of shared devices is greater than or equal to K, where the value of K is greater than or equal to 2.

[0034] Furthermore, when a new shared device joins, the group corresponding to the shortest maximum sending delay time is preferentially added.

[0035] The present invention also provides a shared equipment integrated management system based on wireless positioning, which is used to implement the above method, such as Figure 3 As shown, the system comprises: A grouping unit, used for, in an initial state, evenly dividing the plurality of the shared devices into M groups according to the location information, wherein the number of transmissions of each group in a preset time period accounts for the same proportion, and the probability of data transmission of each shared device in a data transmission period corresponding to each group is the same; A collecting unit, used to collect the sending timing data of each of the shared devices in each of the groups in real time, and calculate the sending delay time and data sending amount of each of the shared devices; A management unit, configured to obtain a first number of first sharing devices and a second number of second sharing devices, and adjust a sending probability of each of the sharing devices and a proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; A prediction unit, configured to input the adjusted sending parameters of the shared device into a sending prediction model to obtain predicted sending control information and predicted delay time, and repeat step S3 according to the predicted delay time to obtain optimal sending control information, and send the optimal sending control information to the corresponding shared device, wherein the sending parameters include the sending probability of the shared device, the data sending amount, the network status and the proportion of the number of sending times of the group in which it is located; The shared device is used to receive and send data based on the optimal sending control information.

[0036] The present invention also provides a computer-readable medium, on which instructions are stored, and the above method is implemented when the instructions are executed by a processor.

[0037] To summarize, the present invention realizes fair allocation of communication resources by evenly grouping shared devices in the initial state to ensure that each group has the same proportion of transmission times and data transmission probability within a preset time period. Secondly, by collecting the transmission timing data of shared devices in real time, the system can accurately calculate the transmission delay time and data transmission amount of each device, providing data support for subsequent dynamic adjustments. When it is detected that the number of devices whose sending delay time exceeds the set threshold has changed, the system will adjust the sending probability of each device and the proportion of group sending times based on these data to optimize the allocation of communication resources. In addition, the patent also introduces a sending prediction model, which generates more accurate sending control information through adversarial training to further improve the efficiency and reliability of data transmission. The training data of the model includes the historical sending times, network status, sending control information, sending data volume and sending delay time, so that the prediction results are closer to actual needs. Through this method, the system can better cope with the situation where there are a large number of shared devices and uneven data transmission needs, reduce network congestion, and improve the utilization of communication resources. Through the mutual cooperation of the above-mentioned technical solutions, by dynamically adjusting the sending parameters of shared devices and introducing sending prediction models, the problem of wireless network congestion is effectively solved, the data transmission efficiency of shared devices is improved, network congestion is reduced, and the utilization of communication resources is improved, providing an efficient and reliable communication control technical solution for device management in the sharing economy.

[0038] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0039] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is 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. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0040] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for integrated management of shared devices based on wireless positioning, characterized in that: The method comprises: Step S1: In an initial state, the plurality of shared devices are evenly divided into M groups according to location information, the number of transmissions of each group in a preset time period accounts for the same proportion, and the data transmission probability of each shared device in a data transmission period corresponding to each group is the same; Step S2: collecting the transmission timing data of each shared device in each group in real time, and calculating the transmission delay time and data transmission amount of each shared device; Step S3: obtaining a first number of first sharing devices and a second number of second sharing devices, and adjusting the sending probability of each of the sharing devices and the proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; Step S4: inputting the adjusted transmission parameters of the shared device into the transmission prediction model to obtain predicted transmission control information and predicted delay time, and repeating step S3 according to the predicted delay time to obtain optimal transmission control information, and sending the optimal transmission control information to the corresponding shared device, wherein the transmission parameters include the transmission probability of the shared device, the data transmission amount, the network status and the proportion of the number of transmission times of the group in which it is located; Step S5: The shared device receives and sends data based on the optimal sending control information.

2. The method according to claim 1, characterized in that When status information of shared devices is collected, the devices are periodically redivided into M groups according to the amount of data sent by each shared device in each group within the preset time period, wherein the N shared devices with the smallest difference in data sending amount are divided into the same group, wherein the sending probability of the shared devices in each group is the same, and the ratio of the first total data sending amount of the group to the second total data sending amount of all the shared devices is used as the new proportion of the number of sending times of the group.

3. The method according to claim 1, characterized in that Adjusting the transmission probability of each of the shared devices based on the first number and the second number includes: Based on the sending timing data of the shared device, the sending delay time and data sending amount of each shared device in the group are calculated in real time, and the first number of the first shared devices in the group corresponding to the sending delay time greater than or equal to the set threshold and the second number of the second shared devices in the group corresponding to the sending delay time less than the set threshold are counted. When the first number is less than the second number, the sending probability of the first shared device in the group is increased; at the same time, the sending probability of the second shared device is reduced, wherein after the sending probability of the second shared device is adjusted, the sending delay time of the second shared device is less than or equal to the set threshold.

4. The method according to claim 3, characterized in that When the first number is less than the second number, and the sending delay time of each of the first shared devices still cannot be satisfied to be less than or equal to the set threshold after adjusting the sending probability of the second shared device, or when the first number corresponding to the group is greater than or equal to the second number, the proportion of the number of times the group is sent within the preset time period is increased, and at the same time, the proportion of the number of times the group has the smallest maximum sending delay time is reduced, wherein, when the proportion of the number of times the group is sent is increased, the sending probability of the first shared device in the group is simultaneously increased, and the sending probability of the second shared device is reduced.

5. The method according to claim 1, characterized in that Get the best predictive control information, including: Input the transmission parameter adjusted by the shared device into the transmission prediction model, obtain the predicted transmission control information and the predicted delay time, and when the predicted delay time is greater than a set threshold, repeat step S3 to readjust the transmission parameter; When the predicted delay time is less than or equal to a set threshold and the change of the transmission parameter compared with the transmission parameter before adjustment is the smallest, the predicted transmission control information corresponding to the predicted delay time is used as the optimal transmission control information.

6. The method according to claim 1, characterized in that The sending prediction model training includes: The proportion of transmission times in the historical data of each group, the network status, the transmission control information corresponding to each shared device, the amount of transmission data and the transmission delay time are used as training data for the transmission prediction model, wherein the transmission prediction model is an adversarial training model, and the predicted transmission control information and the predicted transmission delay time are obtained through the transmission parameters and the transmission prediction model.

7. The method according to claim 1, characterized in that In each of the groups, the number of shared devices is greater than or equal to K, where the value of K is greater than or equal to 2.

8. The method according to claim 1, characterized in that When a new shared device joins, the group with the shortest maximum sending delay time is given priority.

9. A shared equipment integrated management system based on wireless positioning, used to implement the method as claimed in any one of claims 1 to 8, characterized in that: The system comprises: A grouping unit, used for, in an initial state, evenly dividing the plurality of the shared devices into M groups according to the location information, wherein the number of transmissions of each group in a preset time period accounts for the same proportion, and the probability of data transmission of each shared device in a data transmission period corresponding to each group is the same; A collecting unit, used to collect the sending timing data of each of the shared devices in each of the groups in real time, and calculate the sending delay time and data sending amount of each of the shared devices; A management unit, configured to obtain a first number of first sharing devices and a second number of second sharing devices, and adjust a sending probability of each of the sharing devices and a proportion of the number of sending times of the group to which the device belongs based on the first number and the second number; A prediction unit, configured to input the adjusted transmission parameters of the shared device into a transmission prediction model to obtain predicted transmission control information and predicted delay time, and repeat step S3 according to the predicted delay time to obtain optimal transmission control information, and send the optimal transmission control information to the corresponding shared device, wherein the transmission parameters include the transmission probability of the shared device, the data transmission amount, the network status and the proportion of the number of transmission times of the group in which the shared device is located; The shared device is used to receive and send data based on the optimal sending control information.

10. A computer-readable medium having instructions stored thereon, characterized in that: When the instructions are executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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