Digital safety management method and system for future communities

Abstract

The invention provides a digital safety management method and system for a future community, and belongs to the technical field of safety management, and the method specifically comprises the steps: determining optimization target equipment in monitoring equipment according to the number of matched monitoring equipment and Internet of Things relay terminals corresponding to the matched monitoring equipment, according to the transmission conditions of the monitoring data of the Internet of Things relay terminals corresponding to different matched monitoring devices, when it is determined that the coincidence condition of the busy time periods of the Internet of Things relay terminals corresponding to the matched monitoring devices of the optimization target device meets the requirement, the optimization target device is started; transmission processing strategies of different optimization target devices under different transmission mathematical quantities in the busy relay devices are determined according to distribution data of different matched monitoring devices in corresponding Internet of Things relay terminals, composition data of the busy relay devices and similar conditions of the different matched monitoring devices and other optimization target devices; and the data transmission pressure of the busy relay equipment is reduced.

Description

Technical Field

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

[0002] With the rapid development of Internet of Things technology, it has become possible to conduct community security management based on the construction of Internet of Things networks. In existing technical solutions, video surveillance devices are used to identify security risks in the community, and specifically identify situations such as abnormal wandering, so as to realize security early warning for the community. However, the following technical problems exist in the existing technical solutions: When conducting security management in existing communities, different video surveillance systems often need to use Internet of Things relay devices to upload and process surveillance data. At the same time, due to differences in the usage busy degrees of different Internet of Things relay devices, how to adjust the data transmission strategies of video surveillance systems of different Internet of Things relay devices in combination with the usage busy degrees of the Internet of Things relay devices, so as to ensure the real-time and reliability of data transmission has become a technical problem to be solved urgently.

[0003] To solve the above technical problems, the present application provides a digital security management method and system for future communities. Summary of the Invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a digital security management method for future communities, which specifically includes: S1 Determine the matching monitoring devices based on the matching situation between the Internet of Things relay terminals and the monitoring devices, and determine the busy relay devices in the Internet of Things relay devices according to the data transmission situations of the matching monitoring devices of the Internet of Things relay devices at different time periods; S2 Based on the matching situation between the monitoring data of the monitoring devices of the busy relay devices and other monitoring devices, determine the matching monitoring devices of the monitoring devices, and determine the optimized target devices in the monitoring devices according to the number of the matching monitoring devices and the Internet of Things relay terminals corresponding to the matching monitoring devices; S3 When it is determined that the coincidence situation of the busy time periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target devices meets the requirements according to the transmission situations of the monitoring data of the Internet of Things relay terminals corresponding to different matching monitoring devices, proceed to the next step; S4 Determine the transmission processing strategies of different optimized target devices under different transmission data quantities in the busy relay devices based on the distribution data of different matching monitoring devices in the corresponding Internet of Things relay terminals, the composition data of the busy relay devices, and the similarity with other optimized target devices.

[0005] The beneficial effects of the present invention are as follows: Based on the number of matching monitoring devices and the corresponding Internet of Things relay terminals of the matching monitoring devices, the optimized target devices among the monitoring devices are determined, thus avoiding the technical problem that the reliability of the monitoring devices relying on the matching monitoring devices for monitoring and processing is insufficient due to a large number of matching monitoring devices or the distribution of the matching monitoring devices being too concentrated in the Internet of Things relay terminals, that is, the problem of a relatively high probability of being affected by the failure of the Internet of Things relay terminals and the failure risk of the matching monitoring devices, thereby realizing the screening of the optimized target devices and laying a foundation for further optimizing and adjusting the transmission processing strategy.

[0006] Based on the distribution data of different matching monitoring devices in the corresponding Internet of Things relay terminals and the similarity with other optimized target devices, determine the transmission processing strategies of different optimized target devices under different transmission data volumes in the busy relay devices, thus fully considering the number of Internet of Things relay terminals of the matching monitoring devices and the overlapping situation of the Internet of Things relay devices of other optimized target devices, determining the screening of the Internet of Things relay terminals that affect a relatively large number of optimized target devices when the Internet of Things relay terminals fail, and then determining the transmission processing strategies of different optimized target devices according to the Internet of Things relay terminals that affect a relatively large number of optimized target devices. On the basis of reducing the transmission data volume of the busy relay terminals, the reliability of the monitoring and processing is also ensured.

[0007] A further technical solution lies in that the matching monitoring device is a monitoring device that uses the Internet of Things relay terminal.

[0008] A further technical solution lies in that the data transmission situation includes the number of the matching monitoring devices and the transmission data volumes of different matching monitoring devices.

[0009] A further technical solution lies in that the method for determining the busy relay devices in the Internet of Things relay devices is as follows: Based on the data transmission situation of the matching monitoring devices at different time periods, determine the total data transmission volume of the Internet of Things relay devices at different time periods; Based on the total data transmission volume, determine the busy time periods in the time periods; According to the distribution data of the busy time periods, determine whether the Internet of Things relay devices are busy relay devices.

[0010] A further technical solution lies in that the transmission processing strategies of the optimized target devices under different transmission data volumes in the busy relay devices are as follows: Take the matching monitoring device as a matching relay terminal in the corresponding Internet of Things relay terminal to determine the matching relay terminal of the optimized target device. When there is no busy terminal in the matching relay terminal, proceed to the next step; According to the coincidence data between the matching relay terminal of the optimized target device and the matching relay terminals of other optimized target devices, determine the number of optimized target devices corresponding to different matching relay terminals; Based on the matching relay terminal of the optimization target and the number of optimized target devices corresponding to different matching relay terminals, determine the transmission processing strategy of the optimized target device under different transmission data volumes in the busy relay device.

[0011] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned digital security management method for future communities.

[0012] Other features and advantages will be described in the subsequent specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0013] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given in conjunction with the accompanying drawings and are described in detail as follows. Brief Description of the Drawings

[0014] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious; Figure 1 It is a flowchart of a digital security management method for future communities; Figure 2 It is a flowchart of a method for determining a busy relay device in an Internet of Things relay device; Figure 3 It is a flowchart of a method for determining a matching monitoring device of a monitoring device; Figure 4 It is a flowchart of a method for determining an optimized target device in a monitoring device; Figure 5 It is a framework diagram of a computer system. Detailed Embodiments

[0015] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0016] The average value of the total data transmission volume in different time periods is used as the transmission volume average value. When the transmission volume average value is not within the preset transmission volume range, the Internet of Things relay device is determined to be a busy relay device.

[0017] The matching monitoring device is another monitoring device whose distance from the monitoring device is less than the preset distance.

[0018] The optimized target device is one in which the number of matching relay terminals is less than the relay terminal number threshold and there is no monitoring device with a matching monitoring value greater than the preset monitoring threshold.

[0019] When there is a busy terminal among the matching relay terminals, it is determined that the transmission processing strategy of the optimized target device in the busy relay device is that the optimized target device cannot be stopped from transmitting in the busy relay device.

[0020] The matching relay terminals with the number of corresponding optimized target devices greater than the preset target device number threshold are used as associated terminals. When the number of optimized targets with the number of associated terminals greater than the preset associated terminal number threshold does not meet the requirements, that is, when the number is greater than a certain threshold, it is determined that the transmission processing strategy of the optimized target device in the busy relay device is that the optimized target device cannot be stopped from transmitting in the busy relay device; When the number of optimized targets with the number of associated terminals greater than the preset associated terminal number threshold meets the requirements, the number of times when there are multiple matching relay terminals belonging to the busy period in the period is used as the overlapping busy times. When the overlapping busy times in the period are greater than the preset busy times threshold, it is determined that the transmission processing strategy of the optimized target device in the busy relay device in the period is to stop transmitting. When the overlapping busy times in the period are not greater than the preset busy times threshold, the transmission processing strategy of the optimized target in the busy relay device is determined according to the transmission data volume of the busy relay device in the period.

[0021] Embodiment 1 As Figure 1 shown, this application provides a digital security management method for future communities, specifically including: S1 determines the matching monitoring device based on the matching situation between the Internet of Things relay terminal and the monitoring device, and determines the busy relay devices in the Internet of Things relay device according to the data transmission situation of the matching monitoring device of the Internet of Things relay device at different times; Further, the matching monitoring device is a monitoring device that uses the Internet of Things relay terminal.

[0022] Specifically, the data transmission situation includes the number of the matching monitoring devices and the transmission data volume of different matching monitoring devices.

[0023] Specifically, as Figure 2 shown, the method for determining the busy relay devices in the Internet of Things relay device is: Determine the total data transmission volume of the Internet of Things relay device at different times based on the data transmission situation of the matching monitoring device at different times; Determine the busy time periods in the time periods based on the total data transmission volume; Determine whether the Internet of Things relay device is a busy relay device according to the distribution data of the busy time periods.

[0024] It can be understood that the busy time period is the time period when the total data transmission volume of the Internet of Things relay device is not within the preset transmission volume range.

[0025] Specifically, when the number of the busy time periods is greater than the preset busy time period number threshold, it is determined that the Internet of Things relay device is a busy relay device.

[0026] Optionally, the method for determining the busy relay devices in the Internet of Things relay device is: Determine the total data transmission volume of the Internet of Things relay device at different times based on the data transmission situation of the matching monitoring device at different times; Based on the total data transmission volume at different times, determine the average value of the total data transmission volume at different times and use it as the transmission volume average value; Determine whether the Internet of Things relay device is a busy relay device according to the transmission volume average value.

[0027] Specifically, when the transmission volume average value is not within the preset transmission volume range, it is determined that the Internet of Things relay device is a busy relay device.

[0028] S2 determines the matching monitoring device of the monitoring device based on the matching situation between the monitoring data of the monitoring device of the busy relay device and other monitoring devices, and determines the optimized target device in the monitoring device according to the number of the matching monitoring devices and the Internet of Things relay terminal corresponding to the matching monitoring device; Specifically, as Figure 3As shown in the figure, the method for determining the matching monitoring device of the monitoring device is as follows: Based on the matching situation between the monitoring data of the monitoring device and other monitoring devices, when it is determined that the monitoring target in the monitoring device has changed, the monitoring device that can detect the monitoring target fastest is determined; The monitoring device that can detect the monitoring target fastest is used as the matching monitoring device.

[0029] Specifically, the matching monitoring device of the monitoring device is other monitoring devices whose distance from the monitoring device is less than the preset interval distance.

[0030] Specifically, as Figure 4 shown in the figure, the method for determining the optimized target device in the monitoring device is as follows: The Internet of Things relay terminal corresponding to the matching monitoring device is used as the matching relay terminal; According to the proportion of the number of matching monitoring devices in different matching relay terminals in the number of matching monitoring devices, the monitoring matching values of different matching relay terminals are determined; Whether the monitoring device is an optimized target device is determined through the monitoring matching value.

[0031] Specifically, the optimized target device is a monitoring device whose number of matching relay terminals is less than the relay terminal number threshold and there is no monitoring device with a matching monitoring value greater than the preset monitoring threshold.

[0032] In another embodiment, the method for determining the optimized target device in the monitoring device is as follows: S21 Obtain the number of matching monitoring devices of the monitoring device, and use the Internet of Things relay terminal corresponding to the matching monitoring device as the matching relay terminal; It can be understood that before entering the previous step, it is necessary to determine whether all the monitoring targets of the monitoring device will fall within the matching monitoring devices after moving. When the number of times not falling within the matching monitoring devices is greater than the preset missed monitoring times, it is directly determined that it does not belong to the optimized target device.

[0033] Only when the number of times not falling within the matching monitoring devices is greater than the preset missed monitoring times, at this time, even if the monitoring device is turned off, as long as other matching monitoring devices are turned on, reliable monitoring can be achieved. Therefore, on this basis, if the number of matching monitoring devices in the above step does not meet the requirements, at this time, due to the excessive number of matching monitoring devices, inevitably, when other monitoring devices fail, their monitoring reliability will be affected. Therefore, on this basis, it is directly determined that it does not belong to the optimized target device.

[0034] Meanwhile, if the number of matching monitoring devices meets the requirement, i.e., is less than a certain threshold, it is also necessary to further consider whether the number of matching relay terminals meets the requirement. 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 optimized target device.

[0035] Only when both the number of matching monitoring devices and the number of matching relay terminals meet the requirements, i.e., are less than a certain threshold, and if the ratio of the number of matching monitoring devices to the number of matching relay terminals is difficult to meet the requirement, i.e., is greater than a certain threshold, at this time, 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 optimized target device. Only when none of the above situations exist, proceed to the next step.

[0036] S22 Determine the monitoring matching values of different matching relay terminals according to the proportion of the number of matching monitoring devices in different matching relay terminals in the number of the matching monitoring devices. Optionally, in the above steps, if there is a matching relay terminal whose monitoring matching value does not meet the requirement, i.e., there is a matching relay terminal whose monitoring matching value is greater than a certain threshold, then because it is greatly affected, it can be directly determined that it does not belong to the optimized target device.

[0037] In addition, even if there is no matching relay terminal whose monitoring matching value is 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 requirement, i.e., the number of matching relay terminals with relatively large monitoring matching values is greater than the preset threshold, at this time, it can also be determined that it does not belong to the optimized target device. Only when the number of matching relay terminals with monitoring matching values within a certain matching value range meets the requirement, will it continue to proceed to the next step to determine whether the monitoring device is an optimized target device based on multi-dimensional data.

[0038] S23 Determine whether the monitoring device is an optimized target device based on the monitoring matching values, the number of matching monitoring devices, and the number of matching relay terminals of different matching relay terminals.

[0039] In a possible embodiment, determine the matching mean value through the average value of the monitoring matching values of different matching relay terminals. Based on the matching mean value, determine the preset number range of matching monitoring devices and the preset number range of matching relay terminals under the matching mean value.

[0040] 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 value are determined according to the preset corresponding relationship.

[0041] When the number of matching monitoring devices and the number of matching relay terminals are both within the preset number ranges of the matching monitoring devices and the matching relay terminals below the matching mean value, then the monitoring device is determined as an optimized target device.

[0042] In another possible embodiment, the fault risk value is determined according to the product of the sum of the monitoring matching values of different matching relay terminals and the number of matching monitoring devices. When the fault risk value is greater than the preset risk threshold, then the monitoring device is determined as an optimized target device.

[0043] S3 When it is determined that the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device meets the requirements according to the transmission situation of the monitoring data of the Internet of Things relay terminals corresponding to different matching monitoring devices, proceed to the next step; Specifically, determining that the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device meets the requirements specifically includes: Taking the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device as matching relay terminals, and determining the number of matching relay terminals in different busy periods according to the coincidence situation of the busy periods of different matching relay terminals; Taking the busy periods in which the number of matching relay terminals is greater than the preset matching terminal number threshold as the coincident busy periods; Determining whether the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device meets the requirements through the distribution data of the coincident busy periods.

[0044] It should be noted that when the number of coincident busy periods is greater than the preset coincident busy period number threshold, it is determined that the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device does not meet the requirements.

[0045] It can be understood that when the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target device does not meet the requirements, the optimized target device cannot be stopped from transmitting in the busy relay devices.

[0046] Specifically, the coincident busy period is the busy period in which the number of matching relay terminals is greater than the preset matching terminal number threshold.

[0047] S4 Determine the transmission processing strategies of different optimized target devices under different transmission quantity values in the busy relay devices according to the distribution data of different matching monitoring devices in the corresponding Internet of Things relay terminals, the composition data of the busy relay devices, and the similarity with other optimized target devices.

[0048] Specifically, the transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device is as follows: Take the corresponding Internet of Things relay terminal of the matching monitoring device as the matching relay terminal to determine the matching relay terminal of the optimization target device. When there is no busy terminal in the matching relay terminal, proceed to the next step; 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, determine the number of optimization target devices corresponding to different matching relay terminals; Based on the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals, determine the transmission processing strategy of the optimization target device under different transmission quantities in the busy relay device.

[0049] It can be understood that when there is a busy terminal in the matching relay terminal, 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.

[0050] Specifically, based on the matching relay terminal of the optimization target and the number of optimization target devices corresponding to different matching relay terminals, determining the transmission processing strategy of the optimization target device in the busy relay device specifically includes: Take the matching relay terminal with the number of corresponding optimization target devices greater than the preset target device quantity threshold as the associated terminal; When the number of optimization targets with the number of associated terminals greater than the preset associated terminal quantity threshold does not meet the requirements, 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 that the optimization target device cannot be stopped from transmitting in the busy relay device; When the number of optimization targets with the number of associated terminals greater than the preset associated terminal quantity threshold meets the requirements, it is determined that the transmission processing strategy of the optimization target device in the busy relay device is to determine the transmission processing strategy of the optimization target device in the busy relay device according to the distribution data of the busy time periods of the matching relay terminal in different time periods.

[0051] It is understandable that the number of times when there are multiple matching relay terminals in the busy period during the said time period is regarded as the coincidence busy times. When the coincidence busy times in the said time period are greater than the preset busy times threshold, it is determined that the transmission processing strategy of the optimization target device among the busy relay devices in the said time period is to stop the transmission processing. When the coincidence busy times in the said time period are not greater than the preset busy times threshold, the transmission processing strategy of the optimization target among the busy relay devices in the said time period is determined according to the transmission data volume of the busy relay devices in the said time period.

[0052] Specifically, a preset data volume threshold is determined according to the coincidence busy times in the said time period. When the number of moments when the transmission data volume of the busy relay devices in the said time period is greater than the preset data volume threshold does not meet the requirements, the transmission processing strategy of the optimization target device among the busy relay devices in the said time period is to stop the transmission processing. If the number of moments when the transmission data volume of the busy relay devices in the said time period is greater than the preset data volume threshold meets the requirements, with the goal of maintaining the transmission data volume of the busy relay devices below the target data volume, the transmission processing is stopped in descending order according to the coincidence busy times in the said time period until the transmission data volume of the busy relay devices is maintained below the target data volume.

[0053] Optionally, the method for determining the transmission processing strategy of the optimization target device under different transmission data volumes in the busy relay device is as follows: Taking the matching monitoring device's corresponding Internet of Things relay terminal as the matching relay terminal, the matching relay terminal of the optimization target device is determined. When there are no busy terminals among the matching relay terminals, the number of optimization target devices corresponding to different matching relay terminals is determined according to the coincidence data between the matching relay terminals of the optimization target device and the matching relay terminals of other optimization target devices; 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 number of optimization target devices corresponding to different matching relay terminals does not meet the requirements, that is, is greater than a certain threshold, it is determined that the transmission processing strategy of the optimization target device among the busy relay devices is to set the transmission processing strategy of the optimization target device among the busy relay devices as unable to stop the transmission processing; 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, both are less than the quantity threshold, at this time the transmission processing strategy of the optimization target device among the busy relay devices is to stop the transmission processing of the optimization target device among the busy relay devices, and in other cases, it proceeds to the next step.

[0054] Determine the matching relay terminals with the number of optimized target devices greater than the preset associated terminal number threshold according to the number of corresponding optimized target devices, and use them as busy relay terminals; It can be understood that when the number of busy relay terminals is difficult to meet the requirements, that is, when the number is greater than a certain threshold, it is determined that the transmission processing strategy of the optimized target device in the busy relay device is that the optimized target device cannot be stopped from transmitting in the busy relay device; If the number of busy relay terminals meets the requirements, and if there is no busy relay terminal at this time, since its influence degree on the monitoring reliability when the same relay terminal fails is small, it can be determined that the transmission processing strategy of the optimized target device in the busy relay device is to stop the transmission of the optimized target device in the busy relay device.

[0055] Determine the transmission processing strategy of the optimized target device under different transmission quantity values in the busy relay device according to the number of busy relay terminals and the number of overlapping busy times in different time periods.

[0056] In addition, it can be understood that in the above steps, the number of times when there are multiple matching relay terminals belonging to the busy period in the period is used as the number of overlapping busy times. When the number of overlapping busy times in the period is greater than the preset busy times threshold, it is determined that the transmission processing strategy of the optimized target device in the busy relay device in the period is to stop transmission. When the number of overlapping busy times in the period is not greater than the preset busy times threshold, the transmission processing strategy of the optimized target in the busy relay device is determined according to the transmission data volume of the busy relay device in the period.

[0057] Specifically, determine the preset data volume threshold according to the number of overlapping busy times in the period. When the number of moments when the transmission data volume of the busy relay device in the 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 period is to stop transmission. If the number of moments when the transmission data volume of the busy relay device in the period is greater than the preset data volume threshold meets the requirements, with the goal of maintaining the transmission data volume of the busy relay device below the target data volume, stop the transmission processing in descending order according to the number of overlapping busy times in the period until the transmission data volume of the busy relay device is maintained below the target data volume.

[0058] Embodiment 2 In a second aspect, as Figure 5As shown, the present invention provides a computer system, comprising: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes the above-mentioned digital security management method for a future-oriented community.

[0059] Each embodiment in this specification is described in a progressive manner. For the parts that are the same or similar among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of devices, equipment, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0060] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] The above is only one or more embodiments of this specification and is not used to limit this specification. For those skilled in the art, there can be various changes and modifications to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A digital security management method for future communities, characterized in that Specifically include: Determine the matching monitoring device based on the matching situation between the Internet of Things relay terminal and the monitoring device, and determine the busy relay devices in the Internet of Things relay device according to the data transmission situation of the matching monitoring devices of the Internet of Things relay device at different times; Based on the matching situation between the monitoring data of the monitoring devices of the busy relay devices and other monitoring devices, determine the matching monitoring devices of the monitoring devices, and determine the optimized target devices in the monitoring devices according to the number of the matching monitoring devices and the Internet of Things relay terminals corresponding to the matching monitoring devices; According to the transmission situation of the monitoring data of the Internet of Things relay terminals corresponding to different matching monitoring devices, when the coincidence situation of the busy periods of the Internet of Things relay terminals corresponding to the matching monitoring devices of the optimized target devices meets the requirements, proceed to the next step; Determine the transmission processing strategies of different optimized target devices under different transmission data volumes in the busy relay devices based on the distribution data of different matching monitoring devices in the corresponding Internet of Things relay terminals, the composition data of the busy relay devices, and the similarity with other optimized target devices.

2. The digital security management method for future communities according to claim 1, wherein The matching monitoring device is a monitoring device that uses the Internet of Things relay terminal.

3. 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 transmission data volumes of different matching monitoring devices.

4. The digital security management method for future communities according to claim 1, wherein The method for determining the busy relay devices in the Internet of Things relay device is: Determine the total data transmission volume of the Internet of Things relay device at different times based on the data transmission situation of the matching monitoring devices at different times; Based on the total data transmission volume, determine the busy periods in the time period; Determine whether the Internet of Things relay device is a busy relay device according to the distribution data of the busy periods.

5. The digital security management method for future communities according to claim 4, characterized in that, The busy period is the time period when the total data transmission volume of the Internet of Things relay device is not within the preset transmission volume range.

6. The digital security management method for future communities as claimed in claim 1, wherein The method for determining the matching monitoring devices of the monitoring devices is: Based on the matching situation between the monitoring data of the monitoring device and other monitoring devices, determine the monitoring device that can detect the monitoring target fastest when the monitoring target in the monitoring device changes; Take the monitoring device that can detect the monitoring target fastest as the matching monitoring device.

7. The digital security management method for future communities according to claim 1, characterized in that The method for determining the optimized target devices in the monitoring devices is: Take the Internet of Things relay terminal corresponding to the matching monitoring device as the matching relay terminal; According to the proportion of the number of the matching monitoring devices in different matching relay terminals in the number of the matching monitoring devices, determine the monitoring matching values of different matching relay terminals; Determine whether the monitoring device is an optimized target device through the monitoring matching value.

8. The digital security management method for future communities according to claim 1, wherein The transmission processing strategies of the optimized target devices under different transmission data volumes in the busy relay devices are: Take the matching monitoring device in the corresponding Internet of Things relay terminal as the matching relay terminal, determine the matching relay terminal of the optimized target device, and when there is no busy terminal in the matching relay terminal, proceed to the next step; Determine the number of optimized target devices corresponding to different matching relay terminals according to the coincidence data of the matching relay terminals of the optimized target device and the matching relay terminals of other optimized target devices; Determine the transmission processing strategy of the optimized target device under different transmission quantity in the busy relay device through the matching relay terminal of the optimization target and the number of optimized target devices corresponding to different matching relay terminals.

9. The digital security management method for future communities according to claim 8, characterized in that, When there is a busy terminal among the matching relay terminals, determine that the transmission processing strategy of the optimized target device in the busy relay device is that the optimized target device cannot be stopped from transmitting in the busy relay device.

10. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a digital security management method for future communities according to any one of claims 1-9.

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