Scene risk security monitoring system and method

Abstract

The invention discloses a scene risk security monitoring system and a scene risk security monitoring method, and belongs to the field of security monitoring. A parameter sensing intelligent agent is adopted to realize real-time collaborative sensing, analysis, early warning, data identification and data wireless transmission functions of security risk related multi-source parameters of scene basic units, and the sensing intelligent agent is expanded and distributed to each scene basic unit in a scene, so that ubiquitous sensing of scene risks is realized; receiving, analyzing and early warning functions of historical monitoring values and current monitoring values of risk characteristic parameters of the risk basic units are realized by adopting a risk management and control agent; therefore, ubiquitous perception, ubiquitous association and ubiquitous management and control of scene risk safety risk index parameters are realized.

Description

Technical Field

[0001] This invention belongs to the field of intelligent control, and more specifically, relates to a scenario risk safety monitoring system and method. Background Technology

[0002] Energy is needed in every aspect of production and daily life, and energy leaks or energy carrier failures can lead to safety risks. While providing shelter from the elements, living and working spaces also contain risks associated with these activities, such as poisoning, suffocation, fire, explosion, and collapse. These risks range from visible damage to microscopic fatigue, and from toxic substances visible to the naked eye to colorless and odorless toxic gases. Due to the sudden and hidden nature of these risks, they are often difficult to detect and manage in a timely manner, leading to accidents that result in personal injury and property damage. Therefore, safety risk monitoring has become a crucial means of preventing and controlling major safety risks. Summary of the Invention

[0003] In view of the above-mentioned defects or improvement needs of the existing technology, the present invention provides a scenario risk security monitoring system and method, which can realize ubiquitous perception, ubiquitous correlation and ubiquitous control of scenario risk security indicator parameters.

[0004] To achieve the above objectives, according to a first aspect of the present invention, a scenario risk security monitoring system is provided, comprising: a parameter sensing agent and a risk control agent; The parameter sensing agent is used to collect the monitoring values ​​of various risk characteristic parameters in the basic unit of the scene in real time, transmit the monitoring values ​​to the risk control agent corresponding to each of them, and issue an early warning when the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold. The risk management intelligent agent is used to determine the risk status level of the basic unit of the scenario and issue an early warning based on the historical and current monitoring values ​​of the various risk characteristic parameters. In this context, each basic unit of the scenario is equipped with at least one parameter sensing agent; the physical space of the production and life scenario is divided into several spaces with simple production and life activities and definite risk indicator types, with each space serving as a basic unit of the scenario.

[0005] According to a second aspect of the present invention, a method for monitoring scene risks and security is provided, comprising: The production and living scenarios are divided into multiple basic scenario units. The monitoring values ​​of various risk characteristic parameters in each basic scenario unit are collected in real time. When the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold, an early warning is issued. Based on the historical and current monitoring values ​​of the aforementioned risk characteristic parameters, the risk status level of the basic unit of the scenario is determined and an early warning is issued. Among them, the physical space of production and life scenarios is divided into several spaces with simple production and life activities and definite risk indicator types, and each space serves as a basic unit of a scenario.

[0006] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: The system provided by this invention divides the physical space of a scene into multiple basic scene units. Through a parameter-sensing intelligent agent, it achieves real-time collaborative sensing, analysis, early warning, data identification, and wireless data transmission of multi-source parameters related to security risks within each basic scene unit. This sensing intelligent agent is deployed to each basic scene unit within the scene, thereby achieving ubiquitous sensing of scene risks. A risk management intelligent agent is used to receive, analyze, and issue early warnings for historical and current monitoring values ​​of risk characteristic parameters of the basic risk units. A scene risk management cloud platform is built based on the risk management intelligent agent software module. The parameter-sensing intelligent agent and the risk-management intelligent agent form the physical entity of the safety monitoring equipment for risk scenarios. As a hardware facility, the parameter-sensing intelligent agent monitors the same risk characteristic parameters, exhibiting the homogeneity of hardware equipment, thus enabling mass production and application. As software, the risk-management intelligent agent analyzes the same risk characteristic parameters and uses the same analysis model, exhibiting the homogeneity of software models, thus enabling mass production, modular production, and application. This achieves ubiquitous perception and control of scenario risk safety risk indicators, realizing the efficient manufacturing of digital equipment for scenario risk management. Equipment intelligence eliminates professional barriers to risk prevention and control, enabling all-weather real-time monitoring, while mass production reduces costs. By mass-producing parameter-sensing intelligent agents with perception, analysis, early warning, data identification, and wireless data transmission functions, and widely distributing them across all basic units of risk scenarios, ubiquitous perception and anomaly alerts of scenario risks are achieved. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the structure of the parameter-sensing intelligent agent provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a risk management intelligent agent provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the golden triangle for scenario risk prevention and control provided in an embodiment of the present invention; Figure 4 One of the structural schematic diagrams of the scenario risk safety monitoring system provided in the embodiments of the invention; Figure 5 A second schematic diagram of the structure of the scenario risk security monitoring system provided in the embodiments of the invention; Figure 6 The third schematic diagram of the scenario risk security monitoring system provided in the embodiments of the invention. Detailed Implementation

[0008] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0009] Traditionally, security risk control is usually implemented using professional teams, instruments, and software, but this approach is difficult to adapt to the needs of ubiquitous sensing, interconnection, and pipework, and is costly and lacks real-time performance.

[0010] Based on this, embodiments of the present invention provide a scenario risk security monitoring system and method.

[0011] To facilitate understanding, the relevant definitions are explained below: Scene: A general term for production and living activities and their locations; Risk characteristic parameters: These are variables that can reflect the changing characteristics of the safety risk status of objects in production and daily life activities.

[0012] Safety risk mode: refers to a certain type of safety accident. A safety risk mode corresponds to one or more risk characteristic parameters. That is, the risk state of a safety risk mode is jointly determined by the risk states of its corresponding one or more risk characteristic parameters. Each risk characteristic parameter has its own weight, which can be set according to the actual application scenario.

[0013] This invention provides a scenario risk and security monitoring system, including: a parameter sensing agent and a risk control agent; The parameter sensing agent is used to collect the monitoring values ​​of various risk characteristic parameters in the basic unit of the scene in real time, transmit the monitoring values ​​to the risk control agent corresponding to each of them, and issue an early warning when the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold. The risk management intelligent agent is used to determine the risk status level of the basic unit of the scenario and issue an early warning based on the historical and current monitoring values ​​of the various risk characteristic parameters. In this context, each basic unit of the scenario is equipped with at least one parameter sensing agent; the physical space of the production and life scenario is divided into several spaces with simple production and life activities and definite risk indicator types, with each space serving as a basic unit of the scenario.

[0014] Specifically, the physical space of a scenario (i.e., the space for production and living activities) is divided into physical spaces with single activities (i.e., single function and purpose), definite risk indicator types, and a limited number of risk indicators. Each such physical space is called a basic unit of the scenario.

[0015] The perceptual intelligent agent has the functions of perceiving, analyzing, warning, identifying data, and wirelessly transmitting data on the risk characteristic parameters of basic risk units.

[0016] It is understandable that one or more security risk modalities (i.e., one or more types of security risks) may exist within a basic scenario unit. When a basic scenario unit contains multiple types of security risks, parameter-sensing agents corresponding one-to-one with each type of security risk can be deployed within the basic scenario unit to sense, analyze, warn, label, and wirelessly transmit the risk characteristic parameters of each type of security risk. Alternatively, the same parameter-sensing agent deployed within the basic scenario unit can simultaneously sense, analyze, warn, label, and wirelessly transmit all risk characteristic parameters of all types of security risks. By widely deploying parameter-sensing agents in all basic scenario units with scenario risks, ubiquitous perception of scenario risks can be achieved.

[0017] Furthermore, even if only one safety risk mode exists within a basic scenario unit (i.e., one type of safety risk), different parameter-sensing agents can be deployed to sense, analyze, warn, label, and wirelessly transmit data for different types of risk characteristic parameters when their risk feature parameters differ significantly. For example, if the safety risk is fire, the corresponding risk parameters include environmental parameters such as temperature and humidity, as well as the concentrations of toxic and harmful gases. Environmental parameter-sensing agents can be deployed within the basic scenario unit to sense, analyze, warn, label, and wirelessly transmit environmental parameters such as temperature and humidity, while toxic and harmful gas parameter-sensing agents can be deployed to sense, analyze, warn, label, and wirelessly transmit the concentrations of toxic and harmful gases.

[0018] The number of parameter-sensing agents deployed in the basic unit of a scene can be determined by comprehensively considering factors such as total cost requirements and the spatial evolution of safety risk events within the basic unit. For example, fire risk events evolve very rapidly in space; therefore, considering overall assembly requirements, as many parameter-sensing agents as possible should be deployed at different locations within the basic unit of the scene.

[0019] Preferably, such as Figure 1 As shown, the parameter-sensing intelligent agent includes a parameter state sensing module, a data transmission module, a first control module, and a first early warning module; The parameter status perception module is used to collect the monitoring values ​​of various risk characteristic parameters in the basic unit of the scene in real time; the data transmission module is used to wirelessly transmit the monitoring values ​​to the risk management intelligent agent corresponding to each of them; the first control module is used to issue an early warning through the first early warning module when the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold.

[0020] Preferably, the parameter-sensing agent further includes an identification module for adding data identifiers to the monitored values; the data identifiers sequentially include a scene code, a scene basic unit code, a parameter-sensing agent code, and a risk feature parameter type code.

[0021] Preferably, the first control module is further configured to control the safety protection device to perform safety protection when the monitored value of any risk characteristic parameter exceeds the corresponding safety threshold, so as to reduce the risk.

[0022] For example, in a basic unit of a scenario where there may be a fire risk, when the control module in the parameter sensing agent determines that the temperature exceeds the corresponding threshold, the control module controls the first warning module to issue a warning and simultaneously controls the fire sprinkler heads to start automatically spraying water, thereby reducing the risk.

[0023] Preferably, the parameter sensing agent further includes a linkage device, and the first control module is also used to control the safety protection device to perform safety protection through the linkage device when the monitored value of any risk characteristic parameter exceeds the corresponding safety threshold, so as to reduce the risk.

[0024] For example, in a basic unit of a scenario where there may be a fire risk, when the control module in the parameter sensing agent determines that the carbon monoxide concentration exceeds the corresponding threshold, the control module, while controlling the first warning module to issue a warning, also controls the windows in the scenario to open for ventilation through a linkage device, thereby reducing the risk.

[0025] Preferably, when multiple parameter sensing agents are deployed in the basic scene unit, the multiple parameter sensing agents are deployed at different positions in the basic scene unit.

[0026] The risk management intelligent agent has the functions of receiving, analyzing and issuing early warnings of historical and current monitoring values ​​of risk characteristic parameters of basic risk units, thereby determining the risk status level of basic units in the scenario and issuing early warnings.

[0027] like Figure 2 As shown, the risk management intelligent agent includes: The wireless receiving module is used to receive in real time the monitoring values ​​of various risk characteristic parameters sent by the corresponding parameter sensing agent; The second control module is used to determine the risk status level of the basic unit of the scenario based on the historical and current monitoring values ​​of the various risk characteristic parameters. The second early warning module is used to issue early warnings based on the risk status level of the basic unit of the scenario.

[0028] It is worth noting that the second control module in the risk management intelligent agent can use any existing data analysis method to comprehensively analyze the historical and current monitoring values ​​of risk characteristic parameters for risk early warning. For example, the real-time fusion method of multimodal and multi-parameter monitoring data for process production safety disclosed in Chinese Patent Application No. CN202410368109.4 can be used to calculate the multimodal fusion risk state coefficient of the basic unit of the scenario at the current moment. Based on the numerical range of the multimodal fusion risk state coefficient, the risk state level of the basic unit of the scenario at the current moment can be determined and a graded early warning can be issued.

[0029] Preferably, the system further includes a scenario risk management cloud platform, which is used to receive the risk status level of the corresponding scenario basic unit uploaded by each risk management intelligent agent, analyze it to determine the overall risk status level of the scenario and issue an early warning.

[0030] The risk management intelligent agent adapts to all basic units of the scenario, forming a cloud platform for overall scenario security risk management, and comprehensively manages the overall real-time risk situation and future trends of the risk scenario. The risk management intelligent agent realizes the modular assembly of the scenario risk management cloud platform.

[0031] The scenario risk management cloud platform can use any existing data analysis method to analyze and issue early warnings on the overall risk status level of a scenario.

[0032] For example, similar to the real-time fusion method of multimodal and multi-parameter monitoring data for process production safety disclosed in Chinese patent application number CN202410368109.4, weights are assigned to each basic unit of the scenario, and the risk coefficient of the scenario as a whole is obtained by weighted calculation with the risk state coefficient of each basic unit of the scenario at the current moment. The risk coefficient level and corresponding numerical range of the scenario as a whole are pre-divided, and the risk state level of the scenario as a whole at the current moment is determined according to the numerical range of the risk coefficient of the scenario as a whole, and graded warning is given.

[0033] That is, the system provided in this embodiment of the invention divides the physical space of the scene into N basic scene units, forming a set of scene physical units S, while the monitored values ​​of risk characteristic parameters constitute the risk parameter set X of the basic scene unit. The j-th basic scene unit S... j Risk level r j The i-th risk feature parameter x of the basic unit of the scenario ji Satisfying the functional relationship: r j =f(x ji The overall risk of a scenario is a function R of the risks of all basic scenario units in that scenario. S =f(r i); where i=1,2,3,……,M; M is the number of risk characteristic parameters in the basic unit of the scenario; j=1,2,3,……,N. Under the condition of time-varying risk status, the monitoring values ​​of risk characteristic parameters change dynamically, and the risk level of the basic unit of the scenario is determined based on the historical monitoring values ​​and current monitoring values ​​of each risk characteristic parameter; the overall risk of the scenario is determined based on the risk level of each basic unit of the scenario.

[0034] like Figure 3 As shown, the basic scene unit, parameter-sensing intelligent agent, and risk-management intelligent agent constitute the golden triangle of scene risk prevention and control, with the parameter-sensing intelligent agent and risk-management intelligent agent forming the core technological equipment for risk prevention and control. Figure 4 As shown, the risk scenario physical space → scenario basic unit → parameter perception intelligent agent → risk management intelligent agent → scenario risk management cloud platform forms a risk scenario security monitoring technology route.

[0035] Various intelligent agent extensions, in terms of hardware, are extensions of sensing and control unit entities, and in terms of software, are extensions of sensing and control unit data management and control functions. All of them use data identification codes as identifiers, and assess unit risk and scenario risk status based on the correlation and progression between units, the spatial inclusion relationship between risk scenarios and basic units.

[0036] The system provided in this invention integrates multi-parameter status real-time perception, parameter data anomaly alerts, data identification, and wireless transmission functions into a single system. This enables professional, networked, and batch risk perception, achieving ubiquitous risk perception and anomaly warning. Under identical hardware, the parameter perception intelligent agent achieves unique data identification through encoders, facilitating widespread application. Modern information technology is applied to mass-produce parameter perception intelligent agents, utilizing the Internet of Things, wireless transmission technology, and edge computing models to achieve real-time collaborative perception of multi-source, multi-parameter states. The risk management intelligent agent integrates data reception, analysis, and early warning functions, enabling modularization and specialization of basic risk management equipment for specific scenarios. By assembling a scenario risk security management platform using the risk management intelligent agent, the efficient construction of a comprehensive security management cloud platform for risk scenarios can be achieved.

[0037] The system provided by this invention will be further illustrated below with two examples.

[0038] Example 1: Safety Risk Prevention and Control in Residential Buildings Safety risks in residential buildings include the risk of building collapse, the risk of partial damage and failure, the risk of residents being poisoned and suffocated, and the risk of fire.

[0039] Building collapse risk is categorized into risk types such as overall building overturning and foundation subsidence. The entire building is used as the basic unit of the scenario, and overall verticality and uneven settlement of the foundation are used as indicators of building collapse risk. The overall x and y tilt angles of the building and foundation subsidence displacement are used as risk characteristic parameters. A building collapse risk parameter sensing intelligent agent is deployed.

[0040] The risks of localized damage to residential buildings, poisoning and asphyxiation of residents, and fire are assessed using the resident's room as the basic unit of the scenario (i.e., one room constitutes one basic unit of the scenario). The risk indicators for localized damage to residential buildings include column tilting, beam deflection, and cracks. The risk indicators for poisoning and asphyxiation of residents and fire include kitchen gas leaks, smoke spread, and the release of toxic and harmful gases. Risk characteristic parameters include tilt angle, displacement, smoke, gas, carbon monoxide, and hydrogen sulfide. A single parameter-sensing intelligent agent can be integrated to sense all of the above risk characteristic parameters. Alternatively, separate parameter-sensing intelligent agents can be deployed for the risks of localized damage to residential buildings and for the risks of poisoning and asphyxiation of residents and fire.

[0041] Taking the deployment of intelligent agents for sensing parameters of local damage risk in residential buildings and for sensing parameters of poisoning, suffocation, and fire risk in residents as an example, the safety risk prevention and control of residential buildings includes intelligent agents for sensing parameters of overall building collapse risk, intelligent agents for sensing parameters of basic unit damage risk in residents, and intelligent agents for sensing parameters of gas leakage risk. These intelligent agents are widely deployed in basic units of various scenarios to achieve ubiquitous risk perception. Correspondingly, intelligent agents for managing and controlling overall building collapse risk, intelligent agents for managing and controlling basic unit damage risk in residents, and intelligent agents for managing and controlling gas leakage risk should be deployed, and a cloud platform for managing and controlling residential building risk should be assembled and built based on this.

[0042] like Figure 5 As shown, building risk prevention and control is divided into M+1 basic units, including one basic unit for overall collapse risk and M basic units each for local damage and gas injury risk. There are three types of intelligent agents for sensing parameters: collapse risk parameters, local damage risk parameters, and gas injury risk parameters. Corresponding to these three types of risk management agents, parameter sensing agents are deployed throughout the basic units of each scenario. A building safety management and control cloud platform is assembled based on these corresponding risk management agents.

[0043] Example 2: Safety Risk Prevention and Control of a Water Supply, Drainage and Communication Pipe Gallery Urban utility tunnels are the lifeline of modern urban operations, responsible for the transmission of electricity, water supply and drainage, communications, and oil and gas energy. Being confined underground spaces, they are susceptible to risks such as the release of harmful gases and leaks due to aging and damage to pipelines, potentially leading to accidents like fires, explosions, and poisoning / asphyxiation. Therefore, risk control has become a crucial safeguard for urban operations.

[0044] For a 600-meter-long water supply / drainage / communication utility tunnel, as a linear, finite space, there are risks of fire, poisoning, and asphyxiation. The risk of toxic and harmful gas release is widespread throughout the tunnel. Based on public place fire risk monitoring practices, 100 basic scenario units can be established, with each unit representing 6 meters along the tunnel's direction. These units monitor parameters such as carbon monoxide, hydrogen sulfide, flue gas, temperature, and humidity. One hundred intelligent agents each are deployed for multi-parameter environmental sensing (flue gas, temperature, humidity, etc.) and multi-parameter sensing (hydrogen sulfide, carbon monoxide, etc.), along with corresponding risk management intelligent agents. A cloud platform for tunnel risk prevention and control is then assembled. Data identification uses "Environmental Risk Management Intelligent Agent 010011" as an example. The first two digits are the tunnel code, the 3rd to 5th digits are the basic scenario unit code, and the last digit is the intelligent agent type code: 1 indicates environmental type, 2 indicates gas type. Figure 6 As shown.

[0045] This invention provides a method for monitoring scenario risks and security, including: The production and living scenarios are divided into multiple basic scenario units. The monitoring values ​​of various risk characteristic parameters in each basic scenario unit are collected in real time. When the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold, an early warning is issued. Based on the historical and current monitoring values ​​of the aforementioned risk characteristic parameters, the risk status level of the basic unit of the scenario is determined and an early warning is issued. Among them, the physical space of production and life scenarios is divided into several spaces with simple production and life activities and definite risk indicator types, and each space serves as a basic unit of a scenario.

[0046] Preferably, the method further includes: The risk status levels of the corresponding basic units in the scenario uploaded by each risk management intelligent agent are analyzed to determine the overall risk status level of the scenario and issue an early warning.

[0047] This invention provides an electronic device, including: a computer-readable storage medium and a processor; The computer-readable storage medium is used to store executable instructions; The processor is configured to read executable instructions stored in the computer-readable storage medium and execute the method as described in the first aspect.

[0048] This invention provides a computer-readable storage medium storing computer instructions for causing a processor to perform the method described in the first aspect.

[0049] This invention provides a computer program product, including a computer program or instructions, which, when executed by a processor, implement the method described in the first aspect.

[0050] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A scenario risk security monitoring system, characterized in that, include: Parameter-aware intelligent agents and risk-management intelligent agents; The parameter sensing agent is used to collect the monitoring values ​​of various risk characteristic parameters in the basic unit of the scene in real time, transmit the monitoring values ​​to the risk control agent corresponding to each of them, and issue an early warning when the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold. The risk management intelligent agent is used to determine the risk status level of the basic unit of the scenario and issue an early warning based on the historical and current monitoring values ​​of the various risk characteristic parameters. Each scenario's basic unit is equipped with at least one parameter-sensing intelligent agent; The physical space of production and living scenarios is divided into several spaces with simple production and living activities and definite risk indicators, with each space serving as a basic unit of the scenario.

2. The system as described in claim 1, characterized in that, The parameter-sensing intelligent agent includes a parameter state sensing module, a data transmission module, a first control module, and a first early warning module; The parameter status perception module is used to collect the monitoring values ​​of various risk characteristic parameters in the basic unit of the scene in real time; the data transmission module is used to wirelessly transmit the monitoring values ​​to the risk management intelligent agent corresponding to each of them; the control module is used to issue an early warning through the first early warning module when the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold.

3. The system as described in claim 2, characterized in that, The parameter-sensing agent also includes an identification module, which is used to add data identifiers to the monitored values; the data identifiers include, in sequence, a scene code, a scene basic unit code, a parameter-sensing agent code, and a risk feature parameter type code.

4. The system as described in claim 2, characterized in that, The first control module is also used to control the safety protection device to perform safety protection when the monitored value of any risk characteristic parameter exceeds the corresponding safety threshold.

5. The system as described in claim 4, characterized in that, The parameter sensing agent also includes a linkage device, and the first control module is further used to control the safety protection device to perform safety protection when the monitored value of any risk characteristic parameter exceeds the corresponding safety threshold through the linkage device.

6. The system according to any one of claims 1-5, characterized in that, When multiple parameter sensing agents are deployed in the basic unit of the scene, the multiple parameter sensing agents are deployed in different positions in the basic unit of the scene.

7. The system as described in claim 1, characterized in that, The risk management intelligent agent includes: The wireless receiving module is used to receive in real time the monitoring values ​​of various risk characteristic parameters sent by the corresponding parameter sensing agent; The second control module is used to determine the risk status level of the basic unit of the scenario based on the historical and current monitoring values ​​of the various risk characteristic parameters. The second early warning module is used to issue early warnings based on the risk status level of the basic unit of the scenario.

8. The system as described in claim 1, characterized in that, It also includes a scenario risk management cloud platform, which receives the risk status level of the corresponding scenario basic unit uploaded by each risk management intelligent agent, analyzes it to determine the overall risk status level of the scenario and issues an early warning.

9. A method for monitoring scene risks and security, characterized in that, include: The production and living scenarios are divided into multiple basic scenario units. The monitoring values ​​of various risk characteristic parameters in each basic scenario unit are collected in real time. When the monitoring value of any risk characteristic parameter exceeds the corresponding safety threshold, an early warning is issued. Based on the historical and current monitoring values ​​of the aforementioned risk characteristic parameters, the risk status level of the basic unit of the scenario is determined and an early warning is issued. Among them, the physical space of production and life scenarios is divided into several spaces with simple production and life activities and definite risk indicator types, and each space serves as a basic unit of a scenario.

10. The method as described in claim 9, characterized in that, Also includes: The risk status levels of the corresponding basic units in the scenario uploaded by each risk management intelligent agent are analyzed to determine the overall risk status level of the scenario and issue an early warning.

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