Community security linkage response method

Abstract

The invention relates to the technical field of community security and protection, in particular to a community security and protection linkage response method, which comprises the following steps of: realizing efficient coordination between equipment through distributed decision nodes and a time synchronization protocol, and performing priority ranking on multi-point alarm events by utilizing a dynamic weight distribution algorithm, and the communication stability is enhanced through a main and standby link switching mechanism. The response efficiency of the security and protection system can be improved, key events are ensured to be processed preferentially, meanwhile, the system continuity is kept under the condition of communication interruption, and the overall performance of community security and protection is remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of community safety management and intelligent security technology, and specifically relates to a community security linkage response method.

[0002] With the increasing demand for community security, intelligent and linkage security response methods have become a research hotspot. Existing community security systems are usually based on single function modules, which have certain limitations in efficient cooperation and rapid response among multiple devices, limiting the improvement of overall security efficiency.

[0003] After searching, a community security alarm system based on big data with publication number CN113593173B was found, published on April 5, 2024. This patent realizes data transmission and control signal transmission between the security subsystem and the management platform through the communication alarm module, and uses the edge computing module for local pre-detection, thereby improving the accuracy and response speed of the alarm. However, this technical solution mainly relies on data collection and analysis, and has deficiencies in the design of multi-device linkage mechanism, especially in the cooperative response ability between security devices in the event of an emergency, which may cause response delay or resource waste. In addition, this system has high requirements for the stability of the communication link, and once the communication is interrupted, it may affect the overall security effect.

[0004] After searching, a smart community security method based on Internet of Things with publication number CN111918027B was found, published on July 6, 2021. This patent realizes efficient communication between the community server and the mobile terminal by configuring a special communication link protocol, and sends the corresponding video to the mobile terminal after the video acquisition demand verification is passed. However, this technical solution focuses on information acquisition and transmission, and does not fully consider the linkage response mechanism between security devices, especially in complex scenarios (such as multiple simultaneous alarms), lacks effective priority judgment and resource scheduling strategies, which may cause key events to be ignored or not handled in time. In addition, this method relies heavily on user identity verification, and may have security risks in the case of network attacks or identity forgery.

[0005] The above problems show that the existing community security technology still has room for improvement in terms of multi-device linkage response, emergency handling efficiency, communication stability and security. Therefore, the present application provides a community security linkage response method, which aims to optimize the linkage mechanism between devices, improve the response speed and resource scheduling ability of emergency events, and enhance the stability and security of the system, so as to meet the demand for efficient and intelligent security in modern communities.

[0006] One of the purposes of the present application is to overcome the defects existing in the prior art and provide a community security linkage response method, which can improve the overall security efficiency by optimizing the cooperation mechanism between devices.

[0007] The second purpose of the present application is to provide a resource scheduling strategy based on the method to solve the priority judgment problem in the multi-point simultaneous alarm scenario.

[0008] The third purpose of the present application is to provide a communication link redundancy design to enhance the stability of the system in the case of communication interruption.

[0009] To achieve the above-mentioned purposes, the technical mechanism adopted by the present application is:

[0010] By introducing distributed decision nodes, the security devices are divided into multiple independent but interrelated functional units, each of which has local decision-making capability. The state of each functional unit is updated through a time synchronization protocol, and a pre-set event triggering rule is used to achieve rapid response. In addition, a dynamic weight distribution algorithm is used to prioritize multi-point alarm events to ensure that critical events are given priority.

[0011] A community security linkage response method, characterized in that the method combines distributed decision nodes with a time synchronization protocol to build a multi-level security response system. Specifically, each functional unit includes a perception module, an execution module and a decision module. The perception module is responsible for collecting environmental information, the execution module is responsible for implementing response actions, and the decision module generates response instructions according to pre-set rules. Each functional unit maintains state consistency through a time synchronization protocol and coordinates actions through a distributed decision node when an event is triggered.

[0012] A resource scheduling strategy based on the above-mentioned method, characterized in that the strategy uses a dynamic weight distribution algorithm to prioritize multi-point alarm events. Specifically, the priority of an alarm event is determined by three dimensions: event type, location of occurrence and impact range, each of which is assigned a different weight value. The calculation of the weight value is based on historical data and real-time environmental information, and the final priority score is obtained by weighted summation, thereby guiding the allocation of resources.

[0013] A communication link redundancy design, characterized in that the design enhances the stability of the system through a primary and backup link switching mechanism. Specifically, the primary link uses a high-bandwidth, low-latency dedicated communication protocol, and the backup link uses a general-purpose communication protocol as a supplement. When the primary link is interrupted, the system automatically switches to the backup link and monitors the link state through a heartbeat detection mechanism to ensure the continuity of communication.

[0014] To implement the above-mentioned community security linkage response method, the specific steps are as follows:

[0015] a. Deployment of distributed decision nodes, the specific steps are: a-1. Divide the community into several functional units, each containing a perception module, an execution module and a decision module; a-2. Deploy distributed decision nodes within each functional unit, and achieve state consistency through time synchronization protocol; a-3. Configure event trigger rules to define the corresponding response actions for different event types.

[0016] b. Implementation of resource scheduling strategy, the specific steps are: b-1. Establish a priority scoring model according to three dimensions of event type, occurrence location and impact range; b-2. Calculate the weight value of each dimension through historical data analysis and real-time environmental information; b-3. Prioritize multi-point alarm events, and allocate resources based on the sorting results.

[0017] c. Implementation of communication link redundancy design, the specific steps are: c-1. Deploy main link and backup link, main link uses dedicated communication protocol, backup link uses general communication protocol; c-2. Configure heartbeat detection mechanism to monitor the status of main link regularly; c-3. When the main link is interrupted, automatically switch to the backup link and record the switching log.

[0018] The specific implementation of step a-1 is: a-1-1. Divide the community into several functional units according to geographical area, each functional unit covers an area of no more than 500 square meters; a-1-2. Install perception modules in each functional unit, including cameras, infrared sensors and smoke detectors; a-1-3. Configure execution modules, including access control controllers, sound and light alarms and fire extinguishing devices; at the same time, deploy decision modules, using embedded processors to realize local decision-making.

[0019] The specific implementation of step a-2 is: Deploy distributed decision nodes within each functional unit, nodes achieve millisecond-level time synchronization accuracy through time synchronization protocol (such as IEEE 1588). Decision nodes update state information through periodic broadcast messages, and start collaboration process when receiving event trigger signals.

[0020] The specific implementation of step b-1 is: The priority scoring model has three dimensions, each with a weight value. The weight of event type ranges from 0.4 to 0.6, the weight of occurrence location ranges from 0.2 to 0.4, and the weight of impact range ranges from 0.1 to 0.3. The specific value of weight value is determined through historical data analysis.

[0021] The specific implementation of step c-1 above is as follows: the main link uses an optical fiber communication protocol with a transmission rate of 1Gbps and a latency of less than 10ms; the backup link uses a wireless communication protocol with a transmission rate of 100Mbps and a latency of less than 50ms. Both links support bidirectional communication.

[0022] The specific implementation of step c-2 above is as follows: the heartbeat detection mechanism sends a detection signal every 5 seconds. If no response is received three times consecutively, the main link is determined to be interrupted. The heartbeat signal contains link status information and a timestamp for subsequent analysis.

[0023] This invention achieves efficient collaboration among security devices by combining distributed decision nodes with a time synchronization protocol. In multi-point alarm scenarios, the dynamic weight allocation algorithm avoids resource waste and the neglect of critical events by accurately assessing event priorities. The communication link redundancy design significantly improves system stability through a primary / backup link switching mechanism, ensuring communication continuity even in the event of a primary link failure. (See attached figures.)

[0024] Figure 1 This is a schematic diagram of the overall architecture of the community security linkage response method of the present invention, showing the distribution relationship between distributed decision nodes and functional units, as well as the connection method of the primary and backup communication links.

[0025] Figure 2 This is a flowchart of the priority scoring model for the resource scheduling strategy of the present invention, which details the weight allocation and calculation process for the three dimensions of event type, occurrence location, and impact scope.

[0026] Figure 3 This diagram illustrates the primary and backup link switching mechanism for the communication link redundancy design of this invention, showing the status monitoring and switching logic of the primary and backup links.

[0027] The attached diagram is labeled as follows: 1. Functional unit; 2. Distributed decision node; 3. Sensing module; 4. Execution module; 5. Decision module; 6. Main link; 7. Backup link; 8. Heartbeat detection module; 9. Priority scoring model; 10. Weight allocation module. Detailed implementation method.

[0028] This invention provides a community security linkage response method and its related resource scheduling strategy and communication link redundancy design, the specific implementation of which is described in conjunction with the appendix. Figure 1 Appendix Figure 2 and attached Figure 3 A detailed explanation will be provided below. The following content will focus on the specific composition, connection relationship and operation process of functional unit 1, distributed decision node 2, perception module 3, execution module 4, decision module 5, main link 6, backup link 7, heartbeat detection module 8, priority scoring model 9 and weight allocation module 10.

[0029] In this embodiment, the community is divided into several functional units 1, each covering an area of ​​no more than 500 square meters to ensure sensing accuracy and response efficiency. Each functional unit 1 contains a sensing module 3, an execution module 4, and a decision-making module 5. These modules are interconnected and work collaboratively through physical interfaces and communication protocols. The sensing module 3 includes a camera, an infrared sensor, and a smoke detector, installed at key locations in the functional unit 1, used to collect environmental information and transmit the data to the decision-making module 5. The execution module 4 includes an access control controller, an audible and visual alarm, and a fire extinguishing device, connected to the decision-making module 5, used to implement specific response actions according to decision instructions. The decision-making module 5 uses an embedded processor to implement localized decision-making, while collaborating with the decision-making modules 5 of other functional units 1 through distributed decision nodes 2.

[0030] Distributed decision nodes 2 are deployed within each functional unit 1 and achieve millisecond-level time synchronization accuracy through a time synchronization protocol such as IEEE 1588. Distributed decision nodes 2 periodically broadcast messages to update status information, ensuring consistency across functional units 1. When the sensing module 3 detects an abnormal event, it triggers a preset event rule, and the distributed decision nodes 2 initiate a collaborative process to coordinate the response actions of multiple functional units 1. For example, when an infrared sensor in a functional unit 1 detects intrusion, the decision module 5 of that functional unit 1 generates a response command and notifies the decision modules 5 of adjacent functional units 1 via distributed decision nodes 2, thereby achieving multi-point coordinated response.

[0031] The resource scheduling strategy is implemented based on priority scoring model 9, which prioritizes multi-point alarm events according to three dimensions: event type, location, and scope of impact. The weight range for event type is 0.4 to 0.6, for location is 0.2 to 0.4, and for scope of impact is 0.1 to 0.3. The specific weight values ​​are calculated by the weight allocation module 10 based on historical data analysis and real-time environmental information. For example, in a scenario where a fire occurs in functional unit 1, the weight of the event type is set to 0.6, the weight of the location is set to 0.3, and the weight of the scope of impact is set to 0.2. The final priority score is the result of a weighted sum. Priority scoring model 9 dynamically adjusts the weight values ​​to ensure that critical events such as fires or major intrusions are handled with priority. Resource allocation is based on the priority scoring results, with high-priority events preferentially utilizing critical resources such as fire extinguishing devices or audible and visual alarms in execution module 4.

[0032] The implementation of the communication link redundancy design relies on the cooperation of the primary link 6 and the backup link 7. The primary link 6 uses a fiber optic communication protocol with a transmission rate of 1Gbps and a latency of less than 10ms, suitable for high-bandwidth and low-latency data transmission requirements. The backup link 7 uses a wireless communication protocol with a transmission rate of 100Mbps and a latency of less than 50ms, serving as a supplement to the primary link 6. Both the primary link 6 and the backup link 7 support bidirectional communication and monitor link status through a heartbeat detection module 8. The heartbeat detection module 8 sends a detection signal every 5 seconds; if no response is received three times consecutively, the primary link 6 is considered interrupted. At this time, the system automatically switches to the backup link 7 and records the switchover log for subsequent analysis. The switching logic between the primary link 6 and the backup link 7 is shown in the attached figure. Figure 3 As shown, the status monitoring and switching process of the main link 6 and the backup link 7 is illustrated.

[0033] In actual operation, assuming that the sensing module 3 of a certain functional unit 1 within the community detects a fire signal, the specific operation process is as follows: First, the sensing module 3 transmits the fire signal to the decision module 5. The decision module 5 generates a response command according to preset rules and notifies the decision modules 5 of adjacent functional units 1 through the distributed decision node 2. At the same time, the priority scoring model 9 calculates the priority score based on the event type, location, and scope of impact, and dynamically adjusts the weight values ​​through the weight allocation module 10. In this scenario, the fire event is given the highest priority, and the fire extinguishing device in the execution module 4 is invoked first to perform fire extinguishing operations. Simultaneously, the distributed decision node 2 coordinates the audible and visual alarms of other functional units 1 to issue alarms, reminding residents to evacuate. In terms of communication, the main link 6 is responsible for high-speed transmission of real-time fire-related data. If the main link 6 is interrupted due to a fault, the system switches to the backup link 7 in a timely manner through the heartbeat detection module 8 to ensure the continuity of communication.

[0034] Furthermore, the collaboration mechanism among distributed decision nodes 2 achieves state consistency through a time synchronization protocol, ensuring coordinated responses from each functional unit 1. For example, when multiple functional units 1 simultaneously detect intrusion, distributed decision nodes 2 quickly initiate a collaborative process based on event triggering rules, avoiding duplicate responses or resource waste. In addition, distributed decision nodes 2 possess local decision-making capabilities, enabling them to independently complete partial decision-making tasks even when the main link 6 is interrupted, thereby enhancing the system's robustness.

[0035] In summary, this invention achieves efficient collaboration among security devices by combining distributed decision node 2 with a time synchronization protocol, solves the priority judgment problem in multi-point alarm scenarios through a dynamic weight allocation algorithm, and enhances system stability in the event of communication interruption through a primary / backup link switching mechanism. To better enable those skilled in the art to fully understand and implement this invention, the specific implementation principles are further explained below with reference to a specific application scenario.

[0036] In a community security scenario, suppose the sensing module 3 within a functional unit 1 detects a fire signal and triggers a coordinated response process. First, the smoke detector in sensing module 3 collects abnormal smoke concentration data and transmits this data to the decision module 5. The decision module 5 determines the current event to be a fire based on preset event rules and generates a response command. Simultaneously, distributed decision nodes 2 ensure state consistency among functional units 1 through a time synchronization protocol and broadcast the fire information to the decision modules 5 of adjacent functional units 1. This process relies on the periodically updated state information between distributed decision nodes 2 to ensure that all functional units 1 can quickly enter the coordinated response state.

[0037] Regarding resource scheduling strategies, priority scoring model 9 is now operational. Weight allocation module 10 dynamically adjusts the weight values ​​of event type, location, and impact range based on historical data analysis and real-time environmental information. For example, in the current scenario, the weight value for the fire event type is set to 0.6, the weight value for the location is set to 0.3, and the weight value for the impact range is set to 0.2. After calculating the priority score through weighted summation, the system determines that the fire event has the highest priority and prioritizes calling the fire extinguishing devices in execution module 4 for fire suppression. Simultaneously, distributed decision node 2 coordinates the audible and visual alarms of other functional units 1 to issue alerts, reminding residents to evacuate. This mechanism achieves efficient processing of multi-point alarm events through a dynamic weight allocation algorithm, avoiding resource waste and the neglect of critical events.

[0038] In terms of communication link redundancy design, the primary link 6 is responsible for high-speed transmission of real-time fire-related data. Primary link 6 uses a fiber optic communication protocol with a transmission rate of 1Gbps and a latency of less than 10ms, meeting the requirements for high bandwidth and low latency data transmission. The heartbeat detection module 8 sends a detection signal every 5 seconds. If no response is received from primary link 6 three times consecutively, primary link 6 is considered interrupted. At this time, the system automatically switches to backup link 7, which uses a wireless communication protocol with a transmission rate of 100Mbps and a latency of less than 50ms, serving as a supplement to primary link 6. During the switching process, the system records a switching log for subsequent analysis of communication link stability. This primary / backup link switching mechanism ensures that communication remains continuous even if primary link 6 is interrupted, thereby enhancing the system's robustness.

[0039] Furthermore, the collaboration mechanism among distributed decision nodes 2 achieves millisecond-level time synchronization accuracy through time synchronization protocols such as IEEE 1588. When multiple functional units 1 simultaneously detect intrusion behavior, distributed decision nodes 2 quickly initiate the collaboration process according to event triggering rules, avoiding duplicate responses or resource waste. In addition, distributed decision nodes 2 also possess local decision-making capabilities, enabling them to independently complete partial decision-making tasks even when the main link 6 is interrupted. For example, when the main link 6 of a functional unit 1 is interrupted due to a fault, distributed decision nodes 2 can still generate response instructions through the local decision module 5 and coordinate the execution modules 4 of adjacent functional units 1 to implement response actions. This mechanism significantly improves the stability and reliability of the system.

[0040] In actual operation, the continuity of the above steps is fully demonstrated. For example, when a fire occurs, the sensing module 3 transmits a signal to the decision-making module 5, which generates a response command and notifies the adjacent functional unit 1 through the distributed decision-making node 2. Simultaneously, the priority scoring model 9 calculates a priority score based on the event type, location, and scope of impact, and dynamically adjusts the weight values ​​through the weight allocation module 10. In this scenario, the fire event is given the highest priority, and the fire extinguishing device in the execution module 4 is invoked first for fire extinguishing operations. At the same time, the distributed decision-making node 2 coordinates the audible and visual alarms of other functional units 1 to issue alarms, reminding residents to evacuate. Regarding communication, the main link 6 is responsible for high-speed transmission of real-time fire-related data. If the main link 6 is interrupted due to a fault, the system promptly switches to the backup link 7 through the heartbeat detection module 8 to ensure communication continuity.

[0041] In summary, this invention achieves efficient collaboration among security devices by combining distributed decision-making node 2 with a time synchronization protocol, solves the priority judgment problem in multi-point alarm scenarios through a dynamic weight allocation algorithm, and enhances system stability in the event of communication interruption through a primary / backup link switching mechanism. The implementation steps and principles of the above specific application scenarios fully demonstrate the technical advantages of this invention, ensuring the efficiency, intelligence, and reliability of the community security system.

Claims

1. A community security linkage response method, characterized in that... This method constructs a multi-layered security response system by combining distributed decision nodes with a time synchronization protocol. Each functional unit includes a perception module, an execution module, and a decision module. The perception module is responsible for collecting environmental information, the execution module is responsible for implementing response actions, and the decision module generates response instructions according to preset rules. Each functional unit maintains state consistency through a time synchronization protocol and coordinates actions through distributed decision nodes when an event is triggered.

2. The community security linkage response method according to claim 1, characterized in that... The method also includes a resource scheduling strategy, which prioritizes multi-point alarm events using a dynamic weight allocation algorithm. The priority of an alarm event is determined by three dimensions: event type, location of occurrence, and scope of impact. Each dimension is assigned a different weight value, which is calculated based on historical data and real-time environmental information and then weighted and summed to obtain the final priority score.

3. The community security linkage response method according to claim 1, characterized in that... The method also includes a communication link redundancy design, which enhances system stability through a primary and backup link switching mechanism. The primary link uses an optical fiber communication protocol with a transmission rate of 1Gbps and a latency of less than 10ms. The backup link uses a wireless communication protocol with a transmission rate of 100Mbps and a latency of less than 50ms. Both the primary and backup links support bidirectional communication. The heartbeat detection module sends a detection signal every 5 seconds. If no response is received three times in a row, the primary link is determined to be interrupted and the system automatically switches to the backup link.

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