CN114358461A - Risk early warning system and risk early warning method constructed based on multi-factor model - Google Patents

Abstract

The invention discloses a risk early warning system constructed based on a multi-factor model, which comprises a comprehensive evaluation and evaluation platform (1), a monitoring data acquisition module (2), a data storage module (3), a risk early warning and display module (4) and an information release module (5); the comprehensive evaluation and evaluation platform (1) is respectively in data communication connection with the monitoring data acquisition module (2), the data storage module (3), the risk early warning and display module (4) and the information release module (5). According to the risk early warning system and the risk early warning method based on multi-factor model construction, a multi-disciplinary comprehensive model construction principle is adopted, and the acquired risk early warning systems of multiple management departments of risk factors are subjected to comprehensive sharing management, so that risks are analyzed from data of multiple dimensions, and risk analysis and risk early warning are more accurate.

Description

Risk early warning system and risk early warning method based on multi-factor model

technical field

The invention relates to the technical fields of intelligent security and smart city, in particular to a risk early warning system and a risk early warning method constructed based on a multi-factor model.

Background technique

With the rapid development of urbanization in our country, cities are becoming larger and larger, and all aspects of the city need to be managed and predicted in advance in order to ensure the tranquility and stability of the city. On the one hand, the daily operation of the city includes various daily life, daily community security, urban transportation, urban community health and other urban operations. In traditional urban management, the daily community security channel is managed by the community security office, the urban traffic is managed by the urban traffic control department, and the urban community health is managed by the community health center and the health department. All aspects of the city are independently managed and responsible by the management and responsible departments, and there is no process of interaction and interaction between departments. However, in the actual city management and operation, the management and work of various departments lack coordination, which leads to the execution of work. Low efficiency and slow response are not conducive to rapid risk early warning and risk management and control of urban management; on the one hand, the occurrence of emergency and risk situations usually has a certain correlation or is called a harbinger. Risk warning and risk monitoring are carried out in the region. Before an emergency is discovered, a certain advance deployment can be carried out, which can greatly reduce the impact of the emergency on the normal operation of the city, or recover as soon as possible in the event of an emergency.

In view of the above situation, there is also a so-called urban brain system in the prior art, which is a comprehensive urban detection and evaluation system, which can monitor various factors of the city at the same time, and comprehensively consider and analyze the city's In potentially risky situations, there are very valuable systems; such as:

For example, the patent application CN112820415A discloses a GIS-based system and method for analyzing the temporal and spatial evolution characteristics of chronic diseases and monitoring environmental health risks, which can realize the analysis of the temporal and spatial evolution characteristics of chronic diseases and the monitoring of environmental health risks. The combination of the method and GIS can identify the spatial heterogeneity of chronic diseases and formulate regionally targeted prevention and control measures; The interaction model combination can not only analyze the influence of a single factor, but also detect the influence of two-factor interaction and multi-factor synergy on the incidence of chronic diseases. The invention can be used in monitoring and early warning of chronic diseases closely related to environmental health.

Patent application CN 110443528A discloses an enterprise risk quantitative assessment and tracking system based on machine learning, which is a system integrating risk factor identification, risk assessment, risk tracking and early warning, and specifically includes a risk quantitative assessment subsystem, investment project value assessment Subsystem, Bond Risk Quantitative Assessment Subsystem and Risk Early Warning Tracking Subsystem. The biggest feature of the system is that the system is based on the data of the origin parameter big data platform, uses machine learning algorithms to automatically identify and judge the potential risk factors that may exist in the target enterprise, and automatically calls the risk assessment model suitable for the target enterprise through the analysis of the basic information of the company. , to achieve quantitative risk assessment of target companies, real-time tracking and early warning, and provide investors with reliable and practical tools.

Patent application CN113360830A discloses a major risk identification and assessment method for major safety risks in metal smelting enterprises. The steps are to collect the accident case data of metal smelting enterprises, analyze the accident cases, and find the risk factors related to the accident; divide the risk units according to the metal smelting process, and compile the general risk identification list of metal smelting enterprises; form the general risk and hidden danger violation evidence information list; Taking the smelting process as the unit and the risk point as the main line of assessment, the risk assessment unit is divided; the inherent risk index system of high-risk risks of metal smelting enterprises is established, and the inherent risk index of risk points is calculated through the established metal smelting enterprise evaluation model; unit inherent risk assessment , determine unit risk frequency, unit initial high-risk security risk assessment, dynamic risk factor identification; unit risk is aggregated into enterprise risk. The invention improves the intrinsic safety level and safety management level of metal smelting enterprises, prevents major accidents, and reduces the harmful consequences of accidents.

Patent application CN112712903A discloses an infectious disease monitoring method based on human-machine-object ternary space collaborative perception. The method includes: collecting social space monitoring data, information space monitoring data and physical space monitoring data by combining online and offline methods to construct a ternary spatial data set; processing the ternary spatial data set to extract infection Disease-related keywords and classifications, and locate the geographic location of data sources; establish a monitoring and early warning model to analyze the degree of infectious disease risk in different time and space ranges, and combine various types of risk characteristic factors for epidemic risk early warning. The invention collects relevant data in a timely manner through a combination of online and offline methods, completes the coordinated perception of space-time coverage and target coverage, dynamically monitors the state of infectious diseases in real time, and can accurately and timely warn of infectious diseases.

Patent CN111882830A discloses a method, device, system and storage medium for urban waterlogging monitoring, forecasting and early warning. The method includes: waterlogging monitoring equipment monitors water depth data; video gateway equipment sends to cloud server to obtain measured rainfall Data requests and receives the measured rainfall data sent by the cloud server; the video gateway device performs the edge calculation of the waterlogging simulation on the current waterlogging monitoring point according to the measured rainfall data and the monitored water depth data, obtains the forecast maximum water depth, and judges the current waterlogging monitoring point Whether there is a waterlogging risk, and feedback the result of the waterlogging risk judgment to the cloud server; if there is a waterlogging risk, take a snapshot of the scene, and send an early warning command to the waterlogging early warning device, which will display the alarm information. The invention performs the waterlogging simulation calculation through the front-end video gateway equipment, improves the real-time performance of the waterlogging forecast and early warning, reduces the pressure of cloud server calculation, and reduces the requirement for communication bandwidth.

Patent CN110427406A discloses a method and device for mining the relationship between related personnel in an organization. The method includes: acquiring the data information sets of various dimensions of the natural persons related to the organization and the organizations to which the natural persons belong; acquiring the feature subsets of each dimension of the organizations to which the persons belong after being clustered according to the names of the natural persons or other attribute information; Organizations are combined, and vector transformation is performed according to the similarity characteristics of each combination; the same person classification model is trained according to the similarity vector, and the model is used to predict the classification results; according to the classification results, the same natural person is merged, and the related natural person and the organization to which the natural person belongs are aggregated And the associated organization data collection to generate the organization related personnel relationship structure. The embodiments of the present invention can accurately and intuitively dig out the mutual relationship between the relevant personnel of different organizations, thereby meeting the requirement of establishing connections between the relevant personnel of the isolated and scattered organizations.

It can be seen that at present, there are many existing technologies in the field of community life risk control and early warning. It is hoped that information can be obtained through the relevant monitoring system so as to quickly deal with risks. However, there are still the following defects:

1. In the existing technology, there is also a reinforcement learning training model for community risk environment, which usually uses the data collected by itself for learning, optimization and control. The processing of data is rarely cross-departmental risk factor knowledge assistance, basically all Each management department analyzes and judges according to their own sensor data and discovers the risks that they are responsible for handling and discovers risk warnings. However, in reality, risk warnings usually require comprehensive consideration of various risk factors before making accurate judgments. , therefore, the risk early warning acquisition and judgment methods in the prior art are not accurate;

2. In the prior art, since the respective data obtained by multiple departments are obtained, when it is necessary to comprehensively judge the risks of urban operation or detect risks, how to share the obtained various risk parameter data among various management modules? This is a difficult problem, especially in the processing and risk reduction after the risk warning is given by various departments. However, in the prior art, since each department is separated, it is difficult to coordinate the risk processing, especially the risk inspection of the management department needs to be carried out according to the risk warning provided by the other party.

In the prior art, there is no special analysis system for disease treatment, especially infectious disease data. In fact, for many diseases, especially infectious diseases, the initial outbreak point is usually a small area. Characteristics, if a risk warning can be issued in time when a disease is found to be concentrated, the same condition, and abnormal growth, the spread of the disease can be prevented earlier, and the disease can be eliminated, but there are no relevant means and methods in the existing technology. mechanism.

Faced with the above technical problems, people hope to provide a comprehensive risk early warning system and early warning method that can obtain various parameters of the city and detect multiple risk factors at the same time, so as to provide early risk early warning and clear risks in time. But so far, there is no effective solution to the above technical problems in the prior art.

Facing the above technical problems, it is hoped to provide a cross-domain knowledge assistance method and system based on neural network and deep learning to solve the above technical problems.

SUMMARY OF THE INVENTION

In view of the above technical problems, the purpose of the present invention is to provide a risk early warning system and a risk early warning method constructed based on a multi-factor model, so as to solve the problems raised in the above background technology.

To achieve the above object, the present invention provides the following technical solutions:

A risk early-warning system based on a multi-factor model, comprising a comprehensive evaluation and evaluation platform, a monitoring data acquisition module, a data storage module, a risk early-warning and display module, and an information release module; the comprehensive evaluation and evaluation platform is obtained from the monitoring data separately Data communication connection between modules, data storage modules, risk warning and display modules and information release modules;

Wherein, the monitoring data acquisition module is used to acquire the risk behaviors and potential risk parameters of the monitoring personnel and the monitoring area, and the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors;

The comprehensive evaluation and evaluation platform performs risk evaluation, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module, and the comprehensive evaluation and evaluation platform includes a multi-factor intelligent analysis module, a real-time risk early warning module and an AI intelligent analysis and detection module. ;

The multi-factor intelligent analysis module is based on the constructed multi-factor intelligent analysis model, identifies key people and key units in the city, screens out potential hidden danger events, and realizes the change from manual detection to comprehensive perception;

The real-time risk early warning module is based on the risk sensing data acquired in real time by the monitoring data acquisition module, and sends it to the multi-factor intelligent analysis module to perform data query and analysis in conjunction with the multi-factor intelligent analysis model constructed by the monitoring data acquisition module. The type of risk and risk level parameters that may occur, and sent to the risk warning and display module and information release module;

The AI intelligent analysis and detection module integrates AI intelligent applications, and forms a risk early warning model and a risk area based on the detected risk factors and the existing risk correspondence stored in the data storage module, and obtains an intelligent analysis model; Implement monitoring, and adjust the corresponding arrangement of the monitoring data acquisition modules;

The monitoring data acquisition module includes a network data extraction module, a street safety module, a community safety monitoring network module, a road safety monitoring network module and a household administration data interface module;

The network data extraction module is used to obtain news and events published on the Internet, so as to extract risk factors that pose risks to the community; The street becomes a risk factor of risk; the community security surveillance network module is a security surveillance video system set up in the community, and the surveillance images obtained by the security surveillance video system of the community are used to provide a risk factor that poses a risk to the community; the road The security monitoring network module is a video monitoring system installed on the road for detecting road vehicles, thereby providing data on vehicles and road conditions on the road to form risk factors on the road; the household registration data interface module is used to obtain the household registration of the population. data to provide household registration risk factors for the resident population;

The data storage module is used to store the multi-dimensional risk factors obtained by the monitoring data acquisition module; the risk warning and display module is used to display the risks analyzed by the comprehensive evaluation and evaluation platform, and issue a risk warning to the management department ; The information release module is used to issue a risk warning for the risk analyzed by the comprehensive evaluation and evaluation platform;

When the risk early warning system is running for risk early warning, the network data extraction module, the street safety module, the community safety monitoring network module, the road safety monitoring network module and the household registration data interface module respectively obtain various risk factors and store them in the the data storage module;

The real-time risk early-warning module, multi-factor intelligent analysis module and AI intelligent analysis and detection module of the comprehensive evaluation and evaluation platform perform big data analysis based on the data stored in the data storage module to obtain real-time risk early-warning data and social security data. The risk warning data is sent to the information release module, and the information release module sends the risk warning data to the supervisory responsible department and community life personnel in the corresponding area for timely response. At the same time, the risk warning and display module It is used to show it to the supervision and dispatch department, so as to arrange the risk handling work with the supervision department and the responsible department in the corresponding area, and adjust the number of staff of the corresponding risk supervision department and the responsible department.

Preferably, the risk early warning system further includes a mass user terminal, the mass user terminal can be presented in the form of an APP or a WeChat applet, and the mass user terminal is connected with the monitoring data acquisition module in data communication, so that the mass user terminal is connected by data communication. The risk data can be reported to the monitoring data acquisition module through the mass user terminal, and stored in the data storage module. Real-time risk and social policing data.

Preferably, the official user terminal is equipped with an official official account, which is used by party and mass organs and community staff. When the official information needs to be sent out in time, the official information and risk information of the government can be sent to the public by selecting the broadcast mode. All user voices are delivered to thousands of households.

Preferably, the monitoring data acquisition module further includes a medical treatment data acquisition module, the medical treatment data acquisition module acquires the medical treatment data of the community hospital and stores it in the data storage module, and the AI intelligent analysis and detection module is based on the acquisition For medical treatment data, use the existing historical medical treatment data stored in the data storage module to analyze the disease treatment model in the region, and the disease treatment model is a disease treatment model including the treatment hospital, the type of disease, the number of patients with the disease, and the age of the diseased personnel. A disease treatment model, and the disease treatment model is provided to the real-time risk early warning module, so that the real-time risk early warning module is based on the treatment hospital, the type of disease, the number of patients with the disease, the age of the patient and the disease treatment model obtained in real time. Data comparison is performed to analyze abnormal treatment hospitals, disease types, rate of increase in disease personnel, and age of disease personnel, and provide it to experts in the field of disease response treatment, so as to timely determine the transmission characteristics of the disease and the outbreak of the disease, so as to Block the development of diseases in a timely manner and provide early warning of disease risks.

Preferably, each city responsible management department is provided with a corresponding risk early warning receiving and dispatching module. When the risk early warning receiving and dispatching module receives the risk early warning and risk type issued by the comprehensive evaluation and evaluation platform, the city is responsible for the management The department completes the corresponding risk investigation work based on its own responsibility or progresses the risk processing when it receives the scheduling instruction for risk processing issued by the comprehensive evaluation and evaluation platform.

Preferably, the risk early warning and display module further includes a risk processing and scheduling module, when the comprehensive evaluation and evaluation platform detects a risk, it sends a risk early warning to the risk early warning and display module. When multiple cities are required to be responsible for the management department When the risk is eliminated by joint processing, the risk processing scheduling module coordinates the management departments in each city to reduce and eliminate the risk; and, if the city responsible for eliminating or reducing the risk cannot complete the risk reduction or elimination work alone, through The risk processing and dispatching module sends out a risk elimination or reduction assistance request to the responsible management departments of other cities, so as to realize risk command and dispatch work.

Preferably, the risk early warning system further includes a process of setting key monitoring events, key monitoring areas and key monitoring personnel, through predetermined key monitoring events, key monitoring areas and key monitoring personnel, in the key monitoring events, key monitoring areas and key monitoring personnel The corresponding monitoring data acquisition module is set in the area and the area where the key monitoring personnel are located, so as to obtain the multi-dimensional risk factors, so as to monitor the key area, so as to discover risks more quickly.

Preferably, the risk early warning and display module includes risk processing and dispatching modules respectively set in the central dispatching department and each grass-roots management department. Communication connection and command and dispatch are realized between grass-roots management departments, so as to establish a comprehensive command and dispatch system with vertical and horizontal connectivity.

On the other hand, the present application also provides a risk early warning method constructed based on a multi-factor model, including a risk early-warning system constructed based on the multi-factor model, characterized in that it includes the following steps:

Step S1, when the risk early warning system is running, the network data extraction module, the street safety module, the community safety monitoring network module, the road safety monitoring network module and the household registration data interface module respectively obtain the risk behaviors of the monitoring personnel and the monitoring area. and potential risk parameters, the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors and are stored in the data storage module;

In step S2, the comprehensive evaluation and evaluation platform performs risk evaluation, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module. The detected risk factors and the existing risk correspondences in the data storage module constitute a risk early warning model and a risk area, and an intelligent analysis model is obtained; so as to carry out monitoring and adjust the layout of the corresponding monitoring data acquisition module;

Step S3, the multi-factor intelligent analysis module, based on the constructed multi-factor intelligent analysis model, identifies key persons and key units in the city, screens out potential hidden danger events, and realizes the change from manual scouting to comprehensive perception;

Step S4, the real-time risk early warning module sends to the multi-factor intelligent analysis module combined with the multi-factor intelligent analysis model constructed by the monitoring data acquisition module based on the risk sensing data acquired in real time by the monitoring data acquisition module for data query and analysis. , obtain the possible risk types and risk level parameters, and send them to the risk warning and display module and information release module;

Step S5, the risk early warning and display module displays the risk analyzed by the comprehensive evaluation and evaluation platform, and issues a risk early warning to the management department; the information release module issues a risk early warning for the risk analyzed by the comprehensive evaluation and evaluation platform. ;

In step S6, the risk early warning and display module is used to display to the supervision and dispatch department, so as to arrange risk handling work with the supervision department and the responsible department in the corresponding area, and adjust the number of staff of the corresponding risk supervision department and the responsible department.

Preferably, the risk early warning and display module includes risk processing and dispatching modules respectively set in the central dispatching department and each grass-roots management department. Communication connection and command and dispatch are realized between grass-roots management departments, so as to establish a comprehensive command and dispatch system with vertical and horizontal connectivity.

Compared with the prior art, the beneficial effects of the present invention are:

1. The risk early-warning system and risk early-warning method constructed based on the multi-factor model of the present invention, in this application, the principle of multi-disciplinary comprehensive model construction is adopted to comprehensively share and manage the risk early-warning systems of multiple management departments of the acquired risk factors, Thereby, the risk is analyzed from the data of multiple dimensions, which makes the risk analysis and risk early warning more accurate.

, The risk early-warning system and risk early-warning method constructed based on the multi-factor model of the present invention realize the vertical and horizontal connection of the comprehensive coordination department and each grass-roots department to eliminate and reduce risks, so that the comprehensive coordination department for risk elimination and reduction can directly issue Management orders, coordination between different departments, reducing levels and simplifying processes, to improve daily management efficiency, unified linkage of emergency command and optimization of social governance methods.

, The risk early-warning system and risk early-warning method based on the multi-factor model construction of the present invention, the application uses the medical treatment data acquisition module to obtain the type of treatment disease, the number of patients with the disease and the age of the patient in each treatment hospital, and obtains the disease through intelligent analysis. The treatment model and the corresponding treatment data are obtained in real time. When there is an abnormality in the treatment hospital, disease type, number of patients with the disease, and age of the patients with the disease, it will be provided to experts in the field of disease treatment in a timely manner, so as to timely judge the transmission characteristics of the disease and the outbreak of the disease. In order to timely block the development of the disease and provide early warning of disease risk.

Description of drawings

Fig. 1 is the overall structure schematic diagram of the present invention;

2 is a schematic diagram of the data flow structure of the comprehensive evaluation and evaluation platform of the present invention;

FIG. 3 is a schematic diagram of the data flow structure of the monitoring data acquisition module of the present invention.

In the figure: 1. Comprehensive evaluation and evaluation platform; 2. Monitoring data acquisition module; 3. Data storage module; 4. Risk warning and display module; 5. Information release module; 6. Multi-factor intelligent analysis module; 7. Real-time risk warning Module; 8. AI intelligent analysis and detection module; 9. Network data extraction module; 10. Street safety module; 11. Community safety monitoring network module; 12. Road safety monitoring network module; 13. Household administration data interface module; 14. Medical Treatment data acquisition module; 15. Official client; 16. Mass client; 17. Risk processing scheduling module.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Specific embodiment one:

1. A risk early warning system based on a multi-factor model, comprising a comprehensive evaluation and evaluation platform 1, a monitoring data acquisition module 2, a data storage module 3, a risk early warning and display module 4 and an information release module 5; the comprehensive evaluation and evaluation platform 1 is respectively With the monitoring data acquisition module 2, data storage module 3, risk warning and display module 4 and information release module 5 data communication connection;

Wherein, the monitoring data acquisition module 2 is used to acquire the risk behaviors and potential risk parameters of the monitoring personnel and the monitoring area, and the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors;

The comprehensive evaluation and evaluation platform 1 performs risk evaluation, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module 2, and the comprehensive evaluation and evaluation platform 1 includes a multi-factor intelligent analysis module 6, a real-time risk early warning module 7 and AI intelligent analysis and detection module 8;

The multi-factor intelligent analysis module 6 is based on the constructed multi-factor intelligent analysis model to identify key people and key units in the city, screen out potential hidden danger events, and realize the change from manual detection to comprehensive perception;

The real-time risk early warning module 7 is based on the risk sensing data acquired in real time by the monitoring data acquisition module 2, and is sent to the multi-factor intelligent analysis module 6 to perform data query analysis in conjunction with the multi-factor intelligent analysis model constructed by it. , obtain the risk type and risk level parameters that may occur, and send them to the risk warning and display module 4 and the information release module 5;

The AI intelligent analysis and detection module 8 integrates AI intelligent applications, and forms a risk early warning model and a risk area based on the detected risk factors and the existing risk correspondence stored in the data storage module 3, and obtains an intelligent analysis model; Thereby, the implementation monitoring is carried out, and the arrangement of the corresponding monitoring data acquisition module 2 is adjusted;

The monitoring data acquisition module 2 includes a network data extraction module 9, a street safety module 10, a community safety monitoring network module 11, a road safety monitoring network module 12 and a household administration data interface module 13;

The network data extraction module 9 is used to obtain news and events published on the Internet, so as to extract risk factors that pose risks to the community; The risk factor of forming a risk to the community; the community security monitoring network module 11 is a security monitoring video system arranged in the community, and the monitoring image obtained by the security monitoring video system of the community is so as to provide a risk factor that poses a risk to the community; The road safety monitoring network module 12 is a video monitoring system installed on the road for detecting road vehicles, thereby providing data on vehicles and road conditions on the road to form risk factors on the road; the household registration data interface module 13 is used for. Obtain household registration data on the population in order to provide household registration risk factors for the resident population;

The data storage module 3 is used to store the multi-dimensional risk factors obtained by the monitoring data acquisition module 2; the risk early warning and display module 4 is used to display the risk analyzed by the comprehensive evaluation platform 1 and report it to the management. The department issues a risk warning; the information release module 5 is used to issue a risk warning for the risk analyzed by the comprehensive evaluation and evaluation platform 1;

When the risk early warning system is running for risk early warning, the network data extraction module 9, the street safety module 10, the community safety monitoring network module 11, the road safety monitoring network module 12 and the household registration data interface module 13 respectively obtain various risks. factor, and stored in the data storage module 3;

The real-time risk early warning module 7, the multi-factor intelligent analysis module 6 and the AI intelligent analysis detection module 8 of the comprehensive evaluation and evaluation platform 1 perform big data analysis based on the data storage module 3, and obtain real-time risk early warning data and social security. data, and send the risk warning data to the information release module 5, and the information release module 5 sends the risk warning data to the supervisory responsible department and community life personnel in the corresponding area, so as to respond in time, and at the same time The risk early warning and display module 4 is used to display to the supervision and dispatch department, so as to arrange risk handling work with the supervision department and the responsible department in the corresponding area, and adjust the number of staff of the corresponding risk supervision department and the responsible department.

Preferably, the risk early warning system further includes a mass user terminal 16, which can be presented in the form of an APP or a WeChat applet, and the mass user terminal 16 communicates with the monitoring data acquisition module 2 in data communication. connection, so that the masses can report the risk data to the monitoring data acquisition module 2 through the masses user terminal 16, and store it in the data storage module 3, and the comprehensive evaluation platform 1 is based on the data stored in the data storage Module 3 conducts big data analysis to obtain real-time risk and social security data.

Preferably, the official user terminal 15 is configured with an official official account, which is connected to the risk early warning system in communication, and is used by party and mass organs and community staff. When the official information needs to be sent in time, the broadcast mode is selected by , to send the government's official information and risk information to all users' voices to thousands of households.

Preferably, the monitoring data acquisition module 2 further includes a medical treatment data acquisition module 14, and the medical treatment data acquisition module 14 acquires the medical treatment data of the community hospital and stores it in the data storage module 3, and the AI intelligent analysis The detection module 8 is based on the acquisition of medical treatment data, and utilizes the existing historical medical treatment data stored in the data storage module 3 to analyze the disease treatment model of the region, which is a disease treatment model that includes treatment hospitals, disease types, and disease personnel. The disease treatment model of the number and the age of the sick person, and the disease treatment model is provided to the real-time risk early warning module 7, so that the real-time risk early warning module 7 is based on the treatment hospital, the type of disease, and the number of patients with the disease obtained in real time. Compare the data with the age of the diseased person and the disease treatment model, so as to analyze the abnormal treatment hospital, the type of disease, the rate of increase of the diseased person and the age of the diseased person, and provide it to experts in the field of response to disease treatment, so as to judge the spread of the disease in time characteristics, and the outbreak place of the disease, so as to block the development of the disease in time and provide early warning of disease risk.

Preferably, each city responsible management department is provided with a corresponding risk early warning receiving and dispatching module 17. When the risk early warning receiving and dispatching module 17 receives a risk early warning and a risk type issued by the comprehensive evaluation and evaluation platform 1, the risk early warning receiving and dispatching module 17 The city responsible management department completes the corresponding risk investigation work based on its own responsibility or progresses the risk processing when it receives the risk processing scheduling instruction issued by the comprehensive evaluation and evaluation platform 1 .

Preferably, the risk early warning and display module 4 further includes a risk processing and scheduling module 17, when the comprehensive evaluation platform 1 monitors a risk, it sends a risk early warning to the risk early warning and display module 4. When multiple When the city responsible management departments jointly process and eliminate the risk, the risk processing and scheduling module 17 coordinates the city responsible management departments to reduce and eliminate the risk; and, the city responsible management department responsible for eliminating or reducing the risk cannot complete the risk reduction alone Or eliminate work, through the risk processing and dispatching module 17 to send a risk elimination or reduction assistance request to the responsible management department of other cities, so as to realize risk command and dispatch work.

Preferably, the risk early warning system further includes a process of setting key monitoring events, key monitoring areas and key monitoring personnel, through predetermined key monitoring events, key monitoring areas and key monitoring personnel, in the key monitoring events, key monitoring areas and key monitoring personnel The corresponding monitoring data acquisition module 2 is set in the area and the area where the key monitoring personnel are located, so as to obtain the multi-dimensional risk factors, so as to monitor the key area, so as to discover risks more quickly.

Preferably, the risk early warning and display module 4 includes risk processing and dispatching modules 17 respectively arranged in the central dispatching department and each grass-roots management department, and the central dispatching department and each grass-roots management department realize data communication connection and command dispatching respectively , to realize communication connection and command and dispatch among the grass-roots management departments, so as to establish a comprehensive command and dispatch system with vertical connection and horizontal connection.

Specific embodiment two:

A risk early warning method constructed based on a multi-factor model, including a risk early-warning system constructed based on the multi-factor model, characterized in that it includes the following steps:

Step S1, when the risk early warning system is running, the network data extraction module 9, the street safety module 10, the community safety monitoring network module 11, the road safety monitoring network module 12 and the household registration data interface module 13 obtain the monitoring personnel, Monitoring the risk behaviors and potential risk parameters of the area, the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors, and are stored in the data storage module 3;

Step S2, the comprehensive evaluation and evaluation platform 1 performs risk evaluation, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module 2. Specifically, the AI intelligent analysis and detection module 8 integrates AI intelligent applications, based on storage The detected risk factors and the existing risk correspondences in the data storage module 3 constitute a risk early warning model and a risk area, and an intelligent analysis model is obtained; thereby carrying out monitoring, and adjusting the corresponding monitoring data acquisition module 2 arrangement;

Step S3, the multi-factor intelligent analysis module 6, based on the constructed multi-factor intelligent analysis model, identifies key persons and key units in the city, and screens out potential hidden danger events, so as to realize the change from manual detection to comprehensive perception;

Step S4, the real-time risk early warning module 7 is based on the risk sensing data acquired by the monitoring data acquisition module 2 in real time, and sends it to the multi-factor intelligent analysis module 6 in conjunction with the multi-factor intelligent analysis model constructed by it. Data query and analysis to obtain possible risk types and risk level parameters, and send them to the risk warning and display module 4 and the information release module 5;

Step S5, the risk warning and display module 4 displays the risk analyzed by the comprehensive evaluation and evaluation platform 1, and issues a risk early warning to the management department; the information release module 5 analyzes the risk of the comprehensive evaluation and evaluation platform 1. Issue risk warnings;

In step S6, the risk warning and display module 4 is used to display to the supervision and dispatch department, so as to arrange the risk handling work with the supervision department and the responsible department in the corresponding area, and adjust the number of staff of the corresponding risk supervision department and the responsible department. .

Preferably, the risk early warning and display module 4 includes risk processing and dispatching modules 17 respectively arranged in the central dispatching department and each grass-roots management department, and the central dispatching department and each grass-roots management department realize data communication connection and command dispatching respectively , to realize communication connection and command and dispatch among the grass-roots management departments, so as to establish a comprehensive command and dispatch system with vertical connection and horizontal connection.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, and substitutions can be made in these embodiments without departing from the principle and spirit of the invention and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (10)

1. A risk early warning system based on a multi-factor model, including a comprehensive evaluation and evaluation platform (1), a monitoring data acquisition module (2), a data storage module (3), a risk early warning and display module (4), and an information release module (5); The comprehensive evaluation platform (1) is connected to the monitoring data acquisition module (2), the data storage module (3), the risk warning and display module (4) and the information release module (5) in data communication respectively ; Wherein, the monitoring data acquisition module (2) is used to acquire the risk behaviors and potential risk parameters of the monitoring personnel and the monitoring area, and the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors; The comprehensive evaluation and evaluation platform (1) performs risk evaluation, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module (2), and the comprehensive evaluation and evaluation platform (1) includes a multi-factor intelligent analysis module (6). ), real-time risk warning module (7) and AI intelligent analysis and detection module (8); The multi-factor intelligent analysis module (6) is based on the constructed multi-factor intelligent analysis model to identify key people and key units in the city, screen out potential hidden danger events, and realize the change from manual detection to comprehensive perception; The real-time risk early warning module (7) is based on the risk sensing data acquired in real time by the monitoring data acquisition module (2), and is sent to the multi-factor intelligent analysis module (6) in conjunction with the multi-factor intelligence constructed by the monitoring data acquisition module (2). The analysis model performs data query and analysis to obtain possible risk types and risk level parameters, and sends them to the risk warning and display module (4) and the information release module (5); The AI intelligent analysis and detection module (8) integrates AI intelligent applications, and forms a risk early warning model and a risk area based on the detected risk factors and the existing risk correspondences stored in the data storage module (3), and obtains an intelligent to carry out the implementation monitoring, and adjust the corresponding arrangement of the monitoring data acquisition module (2); The monitoring data acquisition module (2) includes a network data extraction module (9), a street safety module (10), a community safety monitoring network module (11), a road safety monitoring network module (12) and a household administration data interface module (13) ); The network data extraction module (9) is used to obtain news and events published on the Internet, so as to extract risk factors that pose risks to the community; the street security module (10) is a street security camera set up by the government management department. module, so as to provide the risk factor of the risk to the community; the community security surveillance network module (11) is a security surveillance video system set up in the community, and the surveillance images obtained by the security surveillance video system of the community are used to provide community security surveillance images. Risk factors that constitute risks; the road safety monitoring network module (12) is a video surveillance system installed on the road for detecting road vehicles, thereby providing data on vehicles and road conditions on the road to form risk factors on the road; the The household registration data interface module (13) is used to obtain the household registration data of the population, so as to provide the household registration risk factors of the resident population; The data storage module (3) is used to store the multi-dimensional risk factors acquired by the monitoring data acquisition module (2); the risk early warning and display module (4) is used to display the comprehensive evaluation and evaluation platform (1) Analyzed risks, and issue a risk warning to the management department; the information release module (5) is used to issue a risk warning for the risks analyzed by the comprehensive evaluation and evaluation platform (1); It is characterized by: When the risk early warning system is running for risk early warning, the network data extraction module (9), the street safety module (10), the community safety monitoring network module (11), the road safety monitoring network module (12) and the household registration data The interface module (13) obtains various risk factors respectively, and stores them in the data storage module (3); The real-time risk early warning module (7), the multi-factor intelligent analysis module (6) and the AI intelligent analysis and detection module (8) of the comprehensive evaluation platform (1) perform big data analysis based on the data stored in the data storage module (3) , obtain real-time risk warning data and social security data, and send the obtained risk warning data to the information release module (5), and the information release module (5) sends the risk warning data to the corresponding area The responsible supervision department and the community life personnel are in order to respond in time, and the risk warning and display module (4) is used to display to the supervision and dispatch department, so as to arrange the risk handling work with the supervision department and the responsible department in the corresponding area, and Adjust the corresponding risk supervision departments and the number of staff. 2. A risk early warning system constructed based on a multi-factor model according to claim 1, characterized in that: the risk early warning system further comprises a mass user terminal (16), which is connected in communication with the risk early warning system, so that the The mass client (16) can be presented in the form of an APP or a WeChat applet, and the mass client (16) is connected with the monitoring data acquisition module (2) for data communication, so that the mass can pass the mass user The terminal (16) reports the risk data to the monitoring data acquisition module (2), and stores it in the data storage module (3). The comprehensive evaluation platform (1) is based on the data stored in the data storage module ( 3) Carry out big data analysis to obtain real-time risk and social security data. 3. A risk early warning system based on a multi-factor model construction according to claim 2, characterized in that: the official user terminal (15) is configured with an official official account, which is communicatively connected with the risk early warning system, and is equipped with It is used by party and mass organs and community staff. When the official information needs to be sent out in time, the government's official information and risk information can be sent to all users by selecting the broadcast mode to transmit it to thousands of households. 4. A risk early warning system based on a multi-factor model construction according to claim 1, wherein the monitoring data acquisition module (2) further comprises a medical treatment data acquisition module (14), wherein the medical treatment data The acquisition module (14) acquires the medical treatment data of the community hospital and stores it in the data storage module (3), and the AI intelligent analysis and detection module (8) uses the data stored in the data storage module (8) based on the acquired medical treatment data. 3) The existing historical medical treatment data in, analyze the disease treatment model in the region, the disease treatment model is a disease treatment model including the treatment hospital, the type of disease, the number of patients with the disease, and the age of the diseased personnel, and the disease treatment model. Provided to the real-time risk early warning module (7), so that the real-time risk early warning module (7) performs data comparison based on the treatment hospital, the type of disease, the number of diseased personnel, the age of the diseased personnel and the disease treatment model obtained in real time for treating the patient, In this way, abnormal treatment hospitals, disease types, the rate of increase in disease personnel and the age of disease personnel are analyzed, and provided to experts in the field of disease treatment, so as to timely determine the transmission characteristics of the disease and the outbreak place of the disease, so as to block the disease in time. development and provide early warning of disease risk. 5. A risk early-warning system constructed based on a multi-factor model according to claim 1, characterized in that: each city responsible management department is provided with a corresponding risk early-warning receiving and dispatching module (16), the risk early-warning receiving and dispatching modules (16). When receiving the risk warning and risk type issued by the comprehensive evaluation and evaluation platform (1) and the scheduling module (16), the city responsible management department completes the corresponding risk investigation based on its own responsibility or receives the comprehensive evaluation. When evaluating the scheduling instruction of risk processing issued by the platform (1), schedule risk processing. 6. A risk early warning system constructed based on a multi-factor model according to claim 5, characterized in that: the risk early warning and display module (4) further comprises a risk processing and scheduling module (17), in the comprehensive evaluation The evaluation platform (1) issues a risk early warning to the risk early warning and display module (4) when a risk is detected, and when multiple city responsible management departments are required to jointly process and eliminate the risk, the risk processing and scheduling module (17) Coordinate the responsible management departments of each city to reduce and eliminate risks; and, if the responsible management departments in the city responsible for eliminating or reducing the risk cannot complete the work of reducing or eliminating the risk alone, it is responsible to other cities through the risk processing and scheduling module (17) The management department issues a request for assistance in risk elimination or reduction, thereby realizing risk command and dispatch. 7. a kind of risk early-warning system based on multi-factor model construction according to claim 6, is characterized in that: described risk early-warning system also comprises the process of setting key monitoring event, key monitoring area and key monitoring personnel, by predetermined The key monitoring event, key monitoring area and key monitoring personnel are set up in the key monitoring event, key monitoring area and the area where the key monitoring personnel are located. The corresponding monitoring data acquisition module (2) is set in order to obtain the multi-dimensional to monitor the key areas in order to detect risks more quickly. 8. A risk early warning system based on a multi-factor model construction according to claim 6, characterized in that: the risk early warning and display module (4) comprises risk processing which is respectively set in the central dispatching department and each grass-roots management department Dispatching module (17), the central dispatching department realizes data communication connection and command dispatching with each basic management department respectively, and realizes communication connection and command dispatching between each basic management department, so as to establish a comprehensive command of vertical connection and horizontal connection scheduling system. 9. A risk early-warning method based on multi-factor model construction, comprising the risk early-warning system based on multi-factor model construction as described in any one of claims 1-8, characterized in that, comprising the steps: Step S1, when the risk early warning system is running, the network data extraction module (9), the street safety module (10), the community safety monitoring network module (11), the road safety monitoring network module (12) and the household registration data The interface module (13) obtains the risk behaviors and potential risk parameters of the monitoring personnel and the monitoring area respectively, and the obtained various types of risk parameters and risk behaviors constitute multi-dimensional risk factors, and are stored in the data storage module (3). ); Step S2, the comprehensive evaluation and evaluation platform (1) performs risk assessment, risk early warning and risk control based on the risk sensing data obtained by the monitoring data acquisition module (2). Specifically, the AI intelligent analysis and detection module (8) is integrated AI intelligent application, based on the detected risk factors and the existing risk correspondences stored in the data storage module (3) to form a risk early warning model and a risk area, and obtain an intelligent analysis model; to carry out monitoring and adjustment. Corresponding arrangement of the monitoring data acquisition module (2); Step S3, the multi-factor intelligent analysis module (6), based on the constructed multi-factor intelligent analysis model, identifies key persons and key units in the city, and screens out potential hidden danger events, so as to realize the change from manual detection to comprehensive perception; Step S4, the real-time risk early warning module (7) is based on the risk sensing data acquired in real time by the monitoring data acquisition module (2), and sends it to the multi-factor intelligent analysis module (6) in conjunction with the multi-factor intelligent analysis module (6). The factor intelligent analysis model performs data query and analysis to obtain possible risk types and risk level parameters, and sends them to the risk warning and display module (4) and the information release module (5); Step S5, the risk early warning and display module (4) displays the risk analyzed by the comprehensive evaluation and evaluation platform (1), and issues a risk early warning to the management department; the information release module (5) evaluates the comprehensive evaluation and evaluation. The platform (1) publishes risk warnings based on the analyzed risks; In step S6, the risk warning and display module (4) is used to display to the supervision and dispatch department, so as to arrange the risk handling work with the supervision department and the responsible department in the corresponding area, and adjust the work of the corresponding risk supervision department and the responsible department. number of personnel. 10. A risk early warning method based on a multi-factor model construction according to claim 9, characterized in that: the risk early warning and display module (4) comprises risk processing which is respectively set in the central dispatch department and each grassroots management department Dispatching module (17), the central dispatching department realizes data communication connection and command dispatching with each basic management department respectively, and realizes communication connection and command dispatching between each basic management department, so as to establish a comprehensive command of vertical connection and horizontal connection scheduling system.

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