A digital security management method and system for future communities

Abstract

The present invention provides a digital security management method and system for future communities, which belongs to the field of security management technology. Specifically, the method and system include: determining the optimization target device in the monitoring device according to the number of matched monitoring devices and the Internet of Things relay terminals corresponding to the matched monitoring devices; determining, based on the transmission conditions of the monitoring data of the Internet of Things relay terminals corresponding to different matched monitoring devices, when the overlap of the busy periods of the Internet of Things relay terminals corresponding to the matched monitoring devices of the optimization target device meets the requirements; and determining the transmission processing strategies of different optimization target devices under different transmission mathematical quantities in the busy relay devices based on the distribution data of different matched monitoring devices in the corresponding Internet of Things relay terminals, the composition data of the busy relay devices, and the similarities with other optimization target devices, thereby reducing the pressure on the data transmission of the busy relay devices.

Description

Technical Field

[0001] The present invention belongs to the field of security management technology, and in particular relates to a digital security management method and system for future communities. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, community security management based on IoT networks has become possible. Existing technical solutions use video surveillance devices to identify community security risks and specifically identify abnormal wandering situations, thereby providing community security warnings. However, existing technical solutions have the following technical problems:

[0003] When conducting security management in existing communities, different video surveillance systems often need to use IoT relay devices to upload and process monitoring data. At the same time, due to the differences in the usage busyness of different IoT relay devices, how to adjust the data transmission strategy of the video surveillance system of different IoT relay devices based on the usage busyness of the IoT relay devices to ensure the real-time and reliability of data transmission has become a technical problem that needs to be solved urgently.

[0004] To solve the above technical problems, this application provides a digital security management method and system for future communities. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] Specifically, this application provides a digital security management method for future communities, specifically including:

[0007] S1 determines a matching monitoring device based on the matching status of the IoT relay terminal and the monitoring device, and determines a busy relay device among the IoT relay devices based on the data transmission status of the matching monitoring device of the IoT relay device at different time periods;

[0008] S2 determines matching monitoring devices for the monitoring device based on the matching of the monitoring data of the monitoring device of the busy relay device with other monitoring devices, and determines an optimization target device among the monitoring devices based on the number of matching monitoring devices and the IoT relay terminals corresponding to the matching monitoring devices;

[0009] S3 determines, based on the transmission status of the monitoring data of the IoT relay terminals corresponding to different matching monitoring devices, whether the overlap of the busy periods of the IoT relay terminals corresponding to the matching monitoring devices of the optimization target device meets the requirements, and then proceeds to the next step;

[0010] S4 determines the transmission processing strategies of different optimization target devices under different transmission matrices in busy relay devices based on the distribution data of different matching monitoring devices in the corresponding IoT relay terminals, the composition data of busy relay devices, and similar situations with other optimization target devices.

[0011] The beneficial effects of the present invention are:

[0012] According to the number of matched monitoring devices and the IoT relay terminals corresponding to the matched monitoring devices, the optimized target devices in the monitoring devices are determined, thereby avoiding the technical problem of insufficient reliability of the monitoring devices relying on the matched monitoring devices for monitoring processing due to the large number of matched monitoring devices or the existence of IoT relay terminals with too concentrated distribution of matched monitoring devices, that is, the problem of high probability of failure of the IoT relay terminals and the failure risk of the matched monitoring devices, thereby realizing the screening of the optimized target devices and laying the foundation for further optimization and adjustment of the transmission processing strategy.

[0013] Based on the distribution data of different matching monitoring devices in the corresponding IoT relay terminals and the similarities with other optimization target devices, the transmission processing strategies of different optimization target devices under different transmission matrices in busy relay devices are determined, thereby fully considering the number of IoT relay terminals of the matching monitoring devices and the overlap of IoT relay devices with other optimization target devices, and determining the screening of IoT relay terminals with a large number of optimization target devices affected by IoT relay terminal failures. Then, based on the IoT relay terminals with a large number of optimization target devices affected, different transmission processing strategies for optimization target devices are determined. On the basis of reducing the amount of transmission data of busy relay terminals, the reliability of monitoring processing is also guaranteed.

[0014] A further technical solution is that the matching monitoring device is a monitoring device that adopts the Internet of Things relay terminal.

[0015] A further technical solution is that the data transmission situation includes the number of the matching monitoring devices and the amount of transmission data of different matching monitoring devices.

[0016] A further technical solution is that a method for determining a busy relay device in the IoT relay device is as follows:

[0017] Determine the total amount of data transmission of the Internet of Things relay device in different time periods based on the data transmission status of the matching monitoring device in different time periods;

[0018] determining a busy period in the time period based on the total amount of data transmission;

[0019] Determine whether the Internet of Things relay device is a busy relay device according to the distribution data of the busy period.

[0020] A further technical solution is that the transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is:

[0021] The matching monitoring device is used as a matching relay terminal in the corresponding IoT relay terminal to determine the matching relay terminal of the optimization target device. If there is no busy terminal among the matching relay terminals, proceed to the next step.

[0022] determining the number of optimization target devices corresponding to different matching relay terminals according to overlapping data of the matching relay terminal of the optimization target device and matching relay terminals of other optimization target devices;

[0023] The transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is determined by optimizing the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals.

[0024] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned digital security management method for future communities when running the computer program.

[0025] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0026] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings;

[0028] Figure 1 It is a flowchart of a digital safety management approach for future communities;

[0029] Figure 2 It is a flow chart of a method for determining a busy relay device among IoT relay devices;

[0030] Figure 3 is a flow chart of a method for determining a matching monitoring device of a monitoring device;

[0031] Figure 4is a flow chart of a method for determining an optimization target device in a monitoring device;

[0032] Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0033] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0034] The average value of the total amount of data transmission in different time periods is used as the average transmission volume. When the average transmission volume is not within the preset transmission volume range, the IoT relay device is determined to be a busy relay device.

[0035] The matching monitoring device is another monitoring device that is spaced apart from the monitoring device at a distance less than a preset distance.

[0036] The optimization target device is a monitoring device whose number of matching relay terminals is less than the relay terminal number threshold and whose matching monitoring value is greater than the preset monitoring threshold.

[0037] When a busy terminal exists among the matching relay terminals, it is determined that the transmission processing strategy of the optimization target device in the busy relay device is that the optimization target device cannot be stopped from transmitting in the busy relay device.

[0038] Matching relay terminals whose corresponding number of optimization target devices is greater than a preset target device number threshold are used as associated terminals. When the number of optimization targets whose number of associated terminals is greater than the preset associated terminal number threshold does not meet the requirement, that is, when the number is greater than a certain threshold, determining that the transmission processing strategy for the optimization target device in the busy relay device is that it is impossible to stop the transmission processing of the optimization target device in the busy relay device;

[0039] When the number of associated terminals is greater than the preset associated terminal number threshold and the number of optimization targets meets the requirements, the number of times there are multiple matching relay terminals in the time period belonging to the busy period will be taken as the overlapping busy number. When the overlapping busy number in the time period is greater than the preset busy number threshold, the transmission processing strategy of the optimization target device in the busy relay device in the time period is determined to stop transmission processing. When the overlapping busy number in the time period is not greater than the preset busy number threshold, the transmission processing strategy of the optimization target in the busy relay device is determined according to the amount of transmission data of the busy relay device in the time period.

[0040] Example 1

[0041] like Figure 1 As shown, this application provides a digital security management method for future communities, specifically including:

[0042] S1 determines a matching monitoring device based on the matching status of the IoT relay terminal and the monitoring device, and determines a busy relay device among the IoT relay devices based on the data transmission status of the matching monitoring device of the IoT relay device at different time periods;

[0043] Furthermore, the matching monitoring device is a monitoring device that adopts the Internet of Things relay terminal.

[0044] Specifically, the data transmission situation includes the number of the matching monitoring devices and the amount of transmission data of different matching monitoring devices.

[0045] Specifically, such as Figure 2 As shown, the method for determining a busy relay device in the IoT relay device is:

[0046] Determine the total amount of data transmission of the Internet of Things relay device in different time periods based on the data transmission status of the matching monitoring device in different time periods;

[0047] determining a busy period in the time period based on the total amount of data transmission;

[0048] Determine whether the Internet of Things relay device is a busy relay device according to the distribution data of the busy period.

[0049] It can be understood that the busy period is a period during which the total amount of data transmitted by the IoT relay device is not within a preset transmission volume range.

[0050] Specifically, when the number of busy periods is greater than a preset busy period number threshold, the Internet of Things relay device is determined to be a busy relay device.

[0051] Optionally, a method for determining a busy relay device in the IoT relay device is:

[0052] Determine the total amount of data transmission of the Internet of Things relay device in different time periods based on the data transmission status of the matching monitoring device in different time periods;

[0053] Based on the total amount of data transmission in different time periods, the average value of the total amount of data transmission in different time periods is determined and used as the mean value of the transmission amount;

[0054] Determine whether the Internet of Things relay device is a busy relay device according to the transmission volume average.

[0055] Specifically, when the transmission volume mean is not within a preset transmission volume range, the IoT relay device is determined to be a busy relay device.

[0056] S2 determines matching monitoring devices for the monitoring device based on the matching of the monitoring data of the monitoring device of the busy relay device with other monitoring devices, and determines an optimization target device among the monitoring devices based on the number of matching monitoring devices and the IoT relay terminals corresponding to the matching monitoring devices;

[0057] Specifically, such as Figure 3 As shown, the method for determining the matching monitoring device of the monitoring device is:

[0058] Based on the matching of the monitoring data of the monitoring device with other monitoring devices, determine the monitoring device that can monitor the monitoring target the fastest when the monitoring target in the monitoring device changes;

[0059] The monitoring device that can monitor the monitoring target the fastest is used as the matching monitoring device.

[0060] Specifically, the matching monitoring device of the monitoring device is another monitoring device whose interval distance from the monitoring device is smaller than a preset interval distance.

[0061] Specifically, such as Figure 4 As shown, the method for determining the optimization target device in the monitoring device is:

[0062] The IoT relay terminal corresponding to the matching monitoring device is used as the matching relay terminal;

[0063] determining monitoring matching values ​​of different matching relay terminals according to a proportion of the number of matching monitoring devices in different matching relay terminals to the number of matching monitoring devices;

[0064] Determine whether the monitoring device is an optimization target device based on the monitoring matching value.

[0065] Specifically, the optimization target device is a monitoring device whose number of matching relay terminals is less than a relay terminal number threshold and whose matching monitoring value is greater than a preset monitoring threshold.

[0066] In another embodiment, the method for determining the optimization target device in the monitoring device is:

[0067] S21 obtains the number of matching monitoring devices of the monitoring device, and uses the IoT relay terminal corresponding to the matching monitoring device as the matching relay terminal;

[0068] It is understandable that before entering the previous step, it is necessary to determine whether the monitoring targets of the monitoring device will fall into the matching monitoring device after moving. When the number of times it does not fall into the matching monitoring device is greater than the preset number of missed monitoring times, it is directly determined that it does not belong to the optimization target device.

[0069] Only when the number of times a device does not fall into the matching monitoring device is greater than the preset number of missed monitoring times, even if the monitoring device is turned off, other matching monitoring devices can achieve reliable monitoring as long as they are turned on. Therefore, on this basis, if the number of matching monitoring devices in the above steps does not meet the requirements, at this time, due to the excessive number of matching monitoring devices, when other monitoring devices inevitably fail, their monitoring reliability will be affected. Therefore, on this basis, it is directly determined that it does not belong to the optimization target device.

[0070] At the same time, if the number of matching monitoring devices meets the requirements, that is, it is less than a certain threshold, it is necessary to further consider whether the number of matching relay terminals meets the requirements. Specifically, if the number of matching relay terminals is too large, then as long as any matching relay terminal fails, its monitoring reliability will be affected. Therefore, on this basis, it is directly determined that it does not belong to the optimization target device.

[0071] Only when the number of matching monitoring devices and the number of matching relay terminals meet the requirements, that is, when they are both less than a certain threshold, if the ratio of the number of matching monitoring devices to the number of matching relay terminals is difficult to meet the requirements, that is, when it is greater than a certain threshold, then the number of matching monitoring devices on different matching relay terminals is too large. Therefore, on this basis, it is directly determined that it does not belong to the optimization target device. Only when the above situations do not exist, proceed to the next step.

[0072] S22 determines monitoring matching values ​​of different matching relay terminals according to the proportion of the number of matching monitoring devices in different matching relay terminals to the number of matching monitoring devices;

[0073] Optionally, in the above steps, if there is a matching relay terminal whose monitoring matching value does not meet the requirements, that is, if there is a matching relay terminal whose monitoring matching value is greater than a certain threshold, it can be directly determined that it does not belong to the optimization target device because it is greatly affected by it.

[0074] In addition, even if there is no matching relay terminal with a monitoring matching value greater than a certain threshold, if the number of matching relay terminals with monitoring matching values ​​within a certain matching value range does not meet the requirements, that is, the number of matching relay terminals with larger monitoring matching values ​​is greater than the preset threshold, it can also be determined that it does not belong to the optimization target device. Only when the number of matching relay terminals with monitoring matching values ​​within a certain matching value range meets the requirements will it proceed to the next step to determine whether the monitoring device is an optimization target device based on multi-dimensional data.

[0075] S23 determines whether the monitoring device is an optimization target device according to the monitoring matching values ​​of different matching relay terminals, the number of matching monitoring devices, and the number of matching relay terminals.

[0076] In one possible embodiment, the matching mean is determined by averaging the monitoring matching values ​​of different matching relay terminals, and based on the matching mean, the preset number range of matching monitoring devices and the preset number range of matching relay terminals under the matching mean are determined.

[0077] It should be noted that the preset number range of matching monitoring devices and the preset number range of matching relay terminals under the matching mean are determined according to a preset corresponding relationship.

[0078] When the number of matching monitoring devices and the number of matching relay terminals are both within the preset number range of matching monitoring devices and the preset number range of matching relay terminals under the matching mean, the monitoring device is determined to be the optimization target device.

[0079] In another possible embodiment, the fault risk value is determined based on the product of the sum of monitoring matching values ​​of different matching relay terminals and the number of matching monitoring devices. When the fault risk value is greater than a preset risk threshold, the monitoring device is determined to be the optimization target device.

[0080] S3 determines, based on the transmission status of the monitoring data of the IoT relay terminals corresponding to different matching monitoring devices, whether the overlap of the busy periods of the IoT relay terminals corresponding to the matching monitoring devices of the optimization target device meets the requirements, and then proceeds to the next step;

[0081] Specifically, determining whether the overlap of busy periods of the IoT relay terminals corresponding to the matching monitoring device of the optimization target device meets the requirements specifically includes:

[0082] The IoT relay terminal corresponding to the matching monitoring device of the optimization target device is used as the matching relay terminal, and the number of matching relay terminals in different busy periods is determined based on the overlap of busy periods of different matching relay terminals;

[0083] The busy period when the number of matching relay terminals is greater than a preset matching terminal number threshold is regarded as the overlapping busy period;

[0084] Through the distribution data of the overlapping busy periods, it is determined whether the overlap of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring device of the optimization target device meets the requirements.

[0085] It should be noted that when the number of overlapping busy periods is greater than the preset overlapping busy period number threshold, it is determined that the overlap of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring device of the optimization target device does not meet the requirements.

[0086] It is understandable that when the busy period of the IoT relay terminal corresponding to the matching monitoring device of the optimization target device does not meet the requirements, the optimization target device cannot be stopped from transmitting in the busy relay device.

[0087] Specifically, the overlapping busy period is a busy period in which the number of matching relay terminals is greater than a preset matching terminal number threshold.

[0088] S4 determines the transmission processing strategies of different optimization target devices under different transmission matrices in busy relay devices based on the distribution data of different matching monitoring devices in the corresponding IoT relay terminals, the composition data of busy relay devices, and similar situations with other optimization target devices.

[0089] Specifically, the transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is:

[0090] The matching monitoring device is used as a matching relay terminal in the corresponding IoT relay terminal to determine the matching relay terminal of the optimization target device. If there is no busy terminal among the matching relay terminals, proceed to the next step.

[0091] determining the number of optimization target devices corresponding to different matching relay terminals according to overlapping data of the matching relay terminal of the optimization target device and matching relay terminals of other optimization target devices;

[0092] The transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is determined by optimizing the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals.

[0093] It is understandable that when there is a busy terminal among the matching relay terminals, it is determined that the transmission processing strategy of the optimization target device in the busy relay device is unable to stop transmission processing of the optimization target device in the busy relay device.

[0094] Specifically, determining the transmission processing strategy of the optimization target device in the busy relay device by optimizing the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals includes:

[0095] The matching relay terminals whose number of corresponding optimization target devices is greater than a preset target device number threshold are used as associated terminals;

[0096] When the number of the optimization target device for which the number of associated terminals is greater than a preset threshold of the number of associated terminals does not meet the requirement, that is, when the number is greater than a certain threshold, it is determined that the transmission processing strategy for the optimization target device in the busy relay device is unable to stop transmission processing for the optimization target device in the busy relay device;

[0097] When the number of associated terminals is greater than the number of optimization targets of the preset associated terminal number threshold and meets the requirements, the transmission processing strategy of the optimization target device in the busy relay device is determined as the transmission processing strategy of the optimization target device in the busy relay device is determined based on the distribution data of the busy periods of the matching relay terminals in different time periods.

[0098] It can be understood that the number of times there are multiple matching relay terminals in the busy period in the time period is taken as the number of overlapping busy times. When the number of overlapping busy times in the time period is greater than the preset busy times threshold, the transmission processing strategy of the optimization target device in the busy relay device in the time period is determined to stop transmission processing. When the number of overlapping busy times in the time period is not greater than the preset busy times threshold, the transmission processing strategy of the optimization target in the busy relay device is determined according to the amount of transmission data of the busy relay device in the time period.

[0099] Specifically, a preset data volume threshold is determined based on the number of overlapping busy times in the time period. When the number of moments when the transmission data volume of the busy relay device in the time period is greater than the preset data volume threshold does not meet the requirements, the transmission processing strategy of the optimized target device in the busy relay device in the time period is to stop transmission processing. If the number of moments when the transmission data volume of the busy relay device in the time period is greater than the preset data volume threshold meets the requirements, the transmission processing is stopped from large to small according to the number of overlapping busy times in the time period, with the goal of maintaining the transmission data volume of the busy relay device below the target data volume, until the transmission data volume of the busy relay device is maintained below the target data volume.

[0100] Optionally, the method for determining the transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is:

[0101] The matching monitoring device is used as a matching relay terminal in the corresponding IoT relay terminal to determine the matching relay terminal of the optimization target device. When there is no busy terminal among the matching relay terminals, the number of optimization target devices corresponding to different matching relay terminals is determined based on the overlapping data between the matching relay terminal of the optimization target device and the matching relay terminals of other optimization target devices.

[0102] It should be noted that, in the above steps, if the number of matching relay terminals of the optimization target device or the sum of the numbers of optimization target devices corresponding to different matching relay terminals does not meet the requirement, that is, is greater than a certain threshold, then the transmission processing strategy of the optimization target device in the busy relay device is determined to be setting the transmission processing strategy of the optimization target device in the busy relay device to be unable to stop transmission processing;

[0103] In other cases, if the number of matching relay terminals of the optimization target device is small and the sum of the number of optimization target devices corresponding to different matching relay terminals is small, that is, they are all less than the number threshold, then the transmission processing strategy of the optimization target device in the busy relay device is to stop the transmission processing of the optimization target device in the busy relay device. In other cases, proceed to the next step.

[0104] According to the number of corresponding optimization target devices, determining a matching relay terminal whose number of optimization target devices is greater than a preset associated terminal number threshold, and treating it as a busy relay terminal;

[0105] It is understandable that when the number of busy relay terminals is difficult to meet the requirement, that is, when the number is greater than a certain threshold, it is determined that the transmission processing strategy of the optimization target device in the busy relay device is unable to stop the transmission processing of the optimization target device in the busy relay device;

[0106] If the number of busy relay terminals meets the requirement, then if there is no busy relay terminal, since it is less affected by the monitoring reliability when the same relay terminal fails, it can be determined that the transmission processing strategy of the optimization target device in the busy relay device is to stop transmission processing of the optimization target device in the busy relay device.

[0107] The transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is determined according to the number of busy relay terminals and the number of overlapping busy times in different time periods.

[0108] In addition, it can be understood that in the above steps, the number of times that there are multiple matching relay terminals in the busy period in the time period is taken as the number of overlapping busy times. When the number of overlapping busy times in the time period is greater than the preset busy times threshold, the transmission processing strategy of the optimization target device in the busy relay device in the time period is determined to stop transmission processing. When the number of overlapping busy times in the time period is not greater than the preset busy times threshold, the transmission processing strategy of the optimization target in the busy relay device is determined according to the amount of transmission data of the busy relay device in the time period.

[0109] Specifically, a preset data volume threshold is determined based on the number of overlapping busy times in the time period. When the number of moments when the transmission data volume of the busy relay device in the time period is greater than the preset data volume threshold does not meet the requirements, the transmission processing strategy of the optimized target device in the busy relay device in the time period is to stop transmission processing. If the number of moments when the transmission data volume of the busy relay device in the time period is greater than the preset data volume threshold meets the requirements, the transmission processing is stopped from large to small according to the number of overlapping busy times in the time period, with the goal of maintaining the transmission data volume of the busy relay device below the target data volume, until the transmission data volume of the busy relay device is maintained below the target data volume.

[0110] Example 2

[0111] Second, as Figure 5 As shown, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned digital security management method for future communities when running the computer program.

[0112] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0113] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0114] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A digital security management method for future communities, characterized by: Specifically include: Determine the matching monitoring device based on the matching status of the IoT relay terminal and the monitoring device, and determine the busy relay device among the IoT relay devices based on the data transmission status of the matching monitoring device of the IoT relay device at different time periods; Determine matching monitoring devices for the monitoring device based on the matching of monitoring data of the monitoring device of the busy relay device with other monitoring devices, and determine optimization target devices among the monitoring devices based on the number of matching monitoring devices and the IoT relay terminals corresponding to the matching monitoring devices; When it is determined based on the transmission status of the monitoring data of the IoT relay terminals corresponding to the different matching monitoring devices that the optimization target device matches, that the overlap of the busy periods of the IoT relay terminals corresponding to the matching monitoring devices meets the requirements, proceed to the next step; Based on the distribution data of different matching monitoring devices on the corresponding IoT relay terminals, the composition data of busy relay devices, and similarities with other optimization target devices, the transmission processing strategies of different optimization target devices under different transmission data volumes in busy relay devices are determined; The matching monitoring device of the Internet of Things relay terminal is a monitoring device that adopts the Internet of Things relay terminal; The method for determining the matching monitoring device of the monitoring device is: Based on the matching of the monitoring data of the monitoring device with other monitoring devices, determine the monitoring device that can monitor the monitoring target the fastest when the monitoring target in the monitoring device changes; The monitoring device that can monitor the monitoring target the fastest is used as the matching monitoring device.

2. The digital security management method for future communities according to claim 1, characterized in that: The data transmission situation includes the number of the matching monitoring devices and the amount of transmission data of different matching monitoring devices.

3. The digital security management method for future communities according to claim 1, characterized in that: The method for determining a busy relay device in the IoT relay device is as follows: Determine the total amount of data transmission of the Internet of Things relay device in different time periods based on the data transmission status of the matching monitoring device in different time periods; determining a busy period in the time period based on the total amount of data transmission; Determine whether the Internet of Things relay device is a busy relay device according to the distribution data of the busy period.

4. The digital security management method for future communities as claimed in claim 3, characterized in that: The busy period is a period during which the total amount of data transmitted by the IoT relay device is not within a preset transmission volume range.

5. The digital security management method for future communities as claimed in claim 1, characterized in that: The method for determining the optimization target device in the monitoring device is: The IoT relay terminal corresponding to the matching monitoring device is used as the matching relay terminal; determining monitoring matching values ​​of different matching relay terminals according to a proportion of the number of matching monitoring devices in different matching relay terminals to the number of matching monitoring devices; Determine whether the monitoring device is an optimization target device based on the monitoring matching value.

6. The digital safety management method for future communities according to claim 1, characterized in that: The transmission processing strategy of the optimization target device under different transmission data volumes in the busy relay device is: The matching monitoring device is used as a matching relay terminal in the corresponding IoT relay terminal to determine the matching relay terminal of the optimization target device. If there is no busy terminal among the matching relay terminals, proceed to the next step. determining the number of optimization target devices corresponding to different matching relay terminals according to overlapping data of the matching relay terminal of the optimization target device and matching relay terminals of other optimization target devices; The transmission processing strategy of the optimization target device under different transmission data volumes in the busy relay device is determined by optimizing the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals.

7. The digital security management method for future communities according to claim 6, characterized in that: When a busy terminal exists among the matching relay terminals, it is determined that the transmission processing strategy of the optimization target device in the busy relay device is unable to stop transmission processing of the optimization target device in the busy relay device.

8. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes a digital security management method for future communities as described in any one of claims 1-7.

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