Dynamic security risk evaluation system and method, electronic equipment, medium and product

Abstract

The invention discloses a dynamic security risk evaluation system and method, electronic equipment, a medium and a product. The system comprises a data monitoring module used for obtaining a multi-source platform data set and sending the multi-source platform data set to a risk prevention and control evaluation module; wherein the multi-source platform data set at least comprises a platform equipment data set, a platform environment data set and a platform personnel data set; the risk prevention and control evaluation module is used for determining a risk prevention and control evaluation result corresponding to the multi-source platform data set by adopting a preset risk prevention and control evaluation model and sending the risk prevention and control evaluation result to the risk prediction module; the risk prediction module is used for determining a corresponding risk prediction result according to the risk prevention and control evaluation result and a preset risk threshold value, and sending the risk prediction result to the platform processing module; and the platform processing module is used for executing corresponding risk emergency disposal according to the risk prediction result. According to the evaluation system, potential risk factors of the platform can be accurately identified in multiple dimensions, and comprehensive dynamic intelligent risk evaluation of the platform is realized.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a dynamic security risk assessment system, method, electronic equipment, medium and product. Background Art

[0002] The Production Safety Risk Control Platform is a comprehensive, systematic management tool built on modern information technology, designed to provide comprehensive, accurate, and efficient digital solutions for enterprise production safety. Currently, enterprises generally lack efficient and scientific risk indicator evaluation methods for production safety, making it difficult to accurately measure risk levels and develop appropriate emergency response procedures. Through digital and intelligent means, the Production Safety Risk Control Platform can effectively improve the efficiency and level of safety management, reduce accident risks, and protect the lives and health of employees, while also bringing positive economic benefits and social reputation to enterprises.

[0003] However, existing production safety risk control platforms typically rely on a single data source for risk assessment, resulting in biased evaluation results that fail to fully and accurately reflect actual risk conditions. This leads to certain limitations in the platform's practical application. This shortcoming urgently needs to be addressed through the introduction of technologies such as multi-source data fusion and intelligent analysis to enhance the scientific nature and reliability of risk assessments. Summary of the Invention

[0004] The present invention provides a dynamic safety risk assessment system, method, electronic equipment, medium and product, which can accurately identify the potential risk factors of the production safety risk prevention and control platform in multiple dimensions, realize a comprehensive dynamic intelligent risk prevention and control evaluation of the production safety risk prevention and control platform, accurately reflect the real risks of the platform, and make targeted emergency response, thereby ensuring the safe and stable operation of enterprise production.

[0005] According to one aspect of the present invention, a dynamic security risk assessment system is provided, the system comprising:

[0006] A data monitoring module is used to obtain a multi-source platform data set and send the multi-source platform data set to the risk prevention and control evaluation module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set;

[0007] The risk prevention and control evaluation module is used to determine the risk prevention and control evaluation results corresponding to the multi-source platform data set using a preset risk prevention and control evaluation model, and send the risk prevention and control evaluation results to the risk prediction module;

[0008] The risk prediction module is used to determine the corresponding risk prediction results based on the risk prevention and control evaluation results and the preset risk threshold, and send the risk prediction results to the platform processing module;

[0009] The platform processing module is used to perform corresponding risk emergency disposal according to the risk prediction results.

[0010] According to another aspect of the present invention, a dynamic security risk assessment method is provided, which is applied to a dynamic security risk assessment system. The method includes:

[0011] Acquire a multi-source platform data set through a data monitoring module and send the multi-source platform data set to a risk prevention and control evaluation module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set;

[0012] The risk prevention and control evaluation module uses a preset risk prevention and control evaluation model to determine the risk prevention and control evaluation results corresponding to the multi-source platform data set, and sends the risk prevention and control evaluation results to the risk prediction module;

[0013] The risk prediction module determines the corresponding risk prediction results based on the risk prevention and control evaluation results and the preset risk threshold, and sends the risk prediction results to the platform processing module;

[0014] The platform processing module executes corresponding risk emergency response according to the risk prediction results.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the dynamic security risk assessment method described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the dynamic security risk assessment method described in any embodiment of the present invention when executed.

[0020] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the dynamic security risk assessment method according to any embodiment of the present invention is implemented.

[0021] The dynamic safety risk assessment system provided by the embodiment of the present invention includes: a data monitoring module, which is used to obtain a multi-source platform data set and send the multi-source platform data set to a risk prevention and control assessment module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set and a platform personnel data set; a risk prevention and control assessment module, which is used to determine the risk prevention and control assessment result corresponding to the multi-source platform data set using a preset risk prevention and control assessment model, and send the risk prevention and control assessment result to a risk prediction module; a risk prediction module, which is used to determine the corresponding risk prediction result based on the risk prevention and control assessment result and a preset risk threshold, and send the risk prediction result to a platform processing module; a platform processing module, which is used to execute corresponding risk emergency disposal according to the risk prediction result. The use of this dynamic safety risk assessment system can accurately identify the potential risk factors of the production safety risk prevention and control platform in multiple dimensions, realize a comprehensive dynamic intelligent risk prevention and control assessment of the production safety risk prevention and control platform, accurately reflect the real risks of the platform, and make targeted emergency disposal, thereby ensuring the safety and stable operation of enterprise production.

[0022] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 This is a structural diagram of a dynamic security risk assessment system provided according to the first embodiment of the present invention;

[0025] Figure 2 This is a structural diagram of a dynamic security risk assessment system provided according to the second embodiment of the present invention;

[0026] Figure 3 This is a flow chart of a dynamic security risk assessment method provided according to Embodiment 3 of the present invention;

[0027] Figure 4 It is a structural diagram of an electronic device for implementing the dynamic security risk assessment method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Example 1

[0031] Figure 1 This is a structural diagram of a dynamic security risk assessment system provided by the first embodiment of the present invention. Figure 1 As shown, the system includes: a data monitoring module 11, a risk prevention and control evaluation module 12, a risk prediction module 13 and a platform processing module 14. The structure of the dynamic security risk evaluation system of this embodiment is described in detail below.

[0032] The data monitoring module 11 is used to obtain a multi-source platform data set and send the multi-source platform data set to the risk prevention and control evaluation module 12; wherein the multi-source platform data set at least includes: a platform equipment data set, a platform environment data set and a platform personnel data set.

[0033] Among them, the data monitoring module may refer to a core component responsible for acquiring platform data from multi-source heterogeneous data sources related to the enterprise's production safety work and transmitting it to the downstream risk prevention and control evaluation module.

[0034] A multi-source platform dataset can be understood as a multi-source, heterogeneous dataset related to enterprise safety production work, and may include at least: a platform device dataset, a platform environment dataset, and a platform personnel dataset. The platform device dataset may refer to a data set consisting of operational information for each device in the safety production risk prevention and control platform, which can be used to reflect the operational status of the device. For example, device data may include device hardware parameter data and device software parameter data.

[0035] The platform environment data set may refer to a data set consisting of various environmental monitoring parameters of the production environment, which can be used to reflect the impact of the environment on safe production. For example, environmental data may include but is not limited to: temperature and humidity, air quality index, noise decibels, wind speed, wind direction, etc.

[0036] The platform personnel data set may refer to a data set consisting of the basic personal information of the operators of the production safety risk prevention and control platform, which can be used to reflect the matching between the operators and their positions. For example, the basic personal information data may include but is not limited to: personnel age, height, physical fitness, personnel qualifications, relevant work experience, length of time on the job, normal operating hours, etc.

[0037] In an embodiment of the present invention, the data monitoring module 11 is a core component of the production safety risk prevention and control platform. It can obtain multi-source platform data sets in a variety of ways and send them to the risk prevention and control evaluation module 12 through the network; wherein the multi-source platform data sets include at least: platform device data sets, platform environment data sets and platform personnel data sets. In a specific embodiment, the platform device data sets can be obtained by: ① obtaining device status data such as device temperature and vibration through various device sensors (such as temperature sensors, vibration sensors, etc.), and constructing a platform device data set; ② obtaining device status data such as CPU usage and memory usage of the device through the device management interface (such as Modbus, REST API, etc.), and constructing a platform device data set; ③ obtaining device status data such as system version and abnormal log information of the device through local log files, and constructing a platform device data set; ④ obtaining device status data such as service response time and disk usage of the device through software monitoring tools, and constructing a platform device data set; ⑤ obtaining the platform device data set through the configured preset device database, etc.

[0038] Methods for obtaining the platform environment dataset may include but are not limited to: ① obtaining environmental data such as temperature, humidity, and air quality index through various environmental sensors (such as temperature and humidity sensors, air quality detectors, etc.), and constructing a platform environment dataset; ② obtaining environmental data such as wind speed and rainfall through a third-party meteorological API interface (such as OpenWeatherMap, etc.), and constructing a platform environment dataset; ③ obtaining the platform environment dataset through a configured preset environment database, etc.

[0039] Methods for obtaining the platform personnel data set may include but are not limited to: ① Obtaining basic personnel information such as the operator's job qualifications, health status, training records, etc. through the platform personnel management system (such as the company's human resources management system, etc.), and constructing a platform personnel data set; ② Obtaining the operator's operation records through the production management system, and constructing a platform personnel data set; ③ Obtaining basic personnel information such as heart rate and fatigue through the operator's wearable devices (such as smart bracelets, smart work badges, etc.), and constructing a platform personnel data set, etc.

[0040] The risk prevention and control evaluation module 12 is used to determine the risk prevention and control evaluation results corresponding to the multi-source platform data set using a preset risk prevention and control evaluation model, and send the risk prevention and control evaluation results to the risk prediction module 13.

[0041] Among them, the risk prevention and control evaluation module may refer to a core component responsible for using a preset risk prevention and control evaluation model to conduct a comprehensive quantitative evaluation of multi-source platform data sets, and transmit the obtained risk prevention and control evaluation results to the downstream risk prediction module.

[0042] A preset risk prevention and control evaluation model may refer to a preconfigured model used to map multi-source data (such as equipment, environment, and personnel) into a quantitative risk prevention and control evaluation result. The model may include at least a preset equipment risk prevention and control evaluation model, a preset environmental risk prevention and control evaluation model, and a preset personnel risk prevention and control evaluation model. Preset risk prevention and control evaluation models may include, but are not limited to, machine learning models and statistical models.

[0043] In an embodiment of the present invention, the risk prevention and control evaluation module 12 serves as a core component of the production safety risk prevention and control platform. It is mainly responsible for receiving the multi-source platform data set transmitted by the data monitoring module 11, and calling the pre-configured preset risk prevention and control evaluation model to perform risk prevention and control evaluation on the above-mentioned multi-source platform data set, obtaining risk prevention and control evaluation results of different dimensions (such as equipment, environment, personnel, etc.), and then sending the risk prevention and control evaluation results to the risk prediction module 13 through the network. In a specific embodiment, the risk prevention and control evaluation module 12 can receive the platform equipment data set, platform environment data set and platform personnel data set sent by the data monitoring module 11, and respectively call the preset equipment risk prevention and control evaluation model, the preset environment risk prevention and control evaluation model and the preset personnel risk prevention and control evaluation model to process the above-mentioned data sets to generate corresponding equipment risk prevention and control evaluation results, environmental risk prevention and control evaluation results and personnel risk prevention and control evaluation results, and then send the equipment risk prevention and control evaluation results, environmental risk prevention and control evaluation results and personnel risk prevention and control evaluation results to the downstream risk prediction module 13 for the next step of risk prediction.

[0044] The risk prediction module 13 is used to determine the corresponding risk prediction result based on the risk prevention and control evaluation result and the preset risk threshold, and send the risk prediction result to the platform processing module 14.

[0045] Among them, the risk prediction module may refer to a core component responsible for comparing the risk prevention and control evaluation results with the preset risk threshold, and transmitting the obtained risk prediction results to the downstream platform processing module. The preset risk threshold may refer to a pre-configured risk prediction threshold, which may be a static threshold or a dynamic threshold; the preset risk threshold may at least include: a preset equipment risk threshold, a preset environmental risk threshold, and a preset personnel risk threshold. The risk prediction result may refer to a result generated based on the preset risk threshold, which may at least include: an equipment risk prediction result, an environmental risk prediction result, and a personnel risk prediction result, for example, it may include the risk levels corresponding to equipment risk, environmental risk, and personnel risk, the equipment identification of risky equipment, etc.

[0046] In an embodiment of the present invention, the risk prediction module 13 serves as a core component of the production safety risk prevention and control platform. It is mainly responsible for receiving the risk prevention and control evaluation results from the risk prevention and control evaluation module 12, judging them using pre-configured preset risk thresholds, obtaining risk prediction results of different dimensions (such as equipment, environment, personnel, etc.), and then sending the risk prediction results to the platform processing module 14 through the network. In a specific embodiment, the risk prediction module 13 can receive the equipment risk prevention and control evaluation results, environmental risk prevention and control evaluation results, and personnel risk prevention and control evaluation results sent by the risk prevention and control evaluation module 12, and compare the above-mentioned risk prevention and control evaluation results with the corresponding preset equipment risk thresholds, preset environmental risk thresholds, and preset personnel risk thresholds to generate corresponding equipment risk prediction results, environmental risk prediction results, and personnel risk prediction results, and then send the equipment risk prediction results, environmental risk prediction results, and personnel risk prediction results to the downstream platform processing module 14.

[0047] The platform processing module 14 is used to perform corresponding risk emergency disposal according to the risk prediction results.

[0048] The platform processing module 14 may be a core component responsible for triggering corresponding risk emergency responses based on the risk prediction results. Risk emergency responses may refer to a set of response actions triggered by the risk prediction results, which may include equipment risk emergency responses, environmental risk emergency responses, and personnel risk emergency responses. For example, risk emergency responses may include, but are not limited to, powering off equipment, adjusting equipment loads, activating ventilation / air conditioning systems, sending early warning notifications, and restricting the operational permissions of unqualified personnel.

[0049] In an embodiment of the present invention, the platform processing module 14 can receive the risk prediction results sent by the risk prediction module 13, and perform corresponding risk emergency disposal based on the risk prediction results. For example, according to the identification and risk level of the risky equipment in the risk prediction results, the corresponding equipment can be emergency disposed of (such as immediately cutting off the power supply of the equipment). For example, according to the environmental risk level in the risk prediction results, the corresponding emergency disposal operation (such as starting the ventilation system) can be performed, etc., thereby achieving targeted emergency disposal of the risks existing in the production safety risk prevention and control platform, ensuring the safe and stable operation of the enterprise production.

[0050] The dynamic safety risk assessment system provided by the embodiment of the present invention includes: a data monitoring module, which is used to obtain a multi-source platform data set and send the multi-source platform data set to a risk prevention and control assessment module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set and a platform personnel data set; a risk prevention and control assessment module, which is used to determine the risk prevention and control assessment result corresponding to the multi-source platform data set using a preset risk prevention and control assessment model, and send the risk prevention and control assessment result to a risk prediction module; a risk prediction module, which is used to determine the corresponding risk prediction result based on the risk prevention and control assessment result and a preset risk threshold, and send the risk prediction result to a platform processing module; a platform processing module, which is used to execute corresponding risk emergency disposal according to the risk prediction result. The use of this dynamic safety risk assessment system can accurately identify the potential risk factors of the production safety risk prevention and control platform in multiple dimensions, realize a comprehensive dynamic intelligent risk prevention and control assessment of the production safety risk prevention and control platform, accurately reflect the real risks of the platform, and make targeted emergency disposal, thereby ensuring the safety and stable operation of enterprise production.

[0051] Example 2

[0052] Figure 2 This is a structural diagram of a dynamic security risk assessment system provided in the second embodiment of the present invention, which is further optimized and expanded based on the above embodiment and can be combined with various optional technical solutions in the above embodiment. Figure 2 As shown, a dynamic security risk assessment system provided in the second embodiment further refines the data monitoring module 11, the risk prevention and control assessment module 12, the risk prediction module 13 and the platform processing module 14. The structural composition of the dynamic security risk assessment system of this embodiment is specifically described below.

[0053] In one embodiment, the data monitoring module 11 includes:

[0054] The device data set acquisition unit 111 is used to acquire device hardware parameter data and device software parameter data from a preset device database, and construct a platform device data set based on the device hardware parameter data and device software parameter data;

[0055] The environment data set acquisition unit 112 is used to acquire environment data from a preset environment database and construct a platform environment data set based on the environment data;

[0056] The personnel data set acquisition unit 113 is used to call a preset system interface to acquire personnel data from a preset platform personnel management system, and to construct a platform personnel data set based on the personnel data;

[0057] The data set sending unit 114 is used to send the platform device data set, the platform environment data set and the platform personnel data set to the risk prevention and control evaluation module 12 through a first preset encrypted channel.

[0058] Among them, the preset device database can be understood as a pre-configured database for storing device data. The device data may include device hardware parameter data and device software parameter data. For example, the device hardware parameter data may include CPU data (such as CPU utilization, CPU temperature), memory data (such as memory utilization, cache hit rate), storage data (such as disk usage space, read and write latency), network data (such as bandwidth utilization, packet loss rate), power data (such as voltage fluctuation, battery health) and status data (such as device operating time, fault code); device software parameter data may include function data (such as function enablement status, service operation status), user data (such as login logs, operation records), performance data (such as transaction processing throughput, average response time) and system data (such as operating system version, security patch update status).

[0059] The preset environment database can be understood as a pre-configured database for storing environmental data, and the environmental data may include temperature, humidity, air quality index, noise decibels, etc.

[0060] The preset platform personnel management system can be understood as a system used to manage the personal basic information (i.e., personnel data) of the operators of the production safety risk prevention and control platform, such as the enterprise's human resources management system, etc.; among them, the personnel data may include personnel age, height, physical fitness, qualifications, relevant work experience, etc.

[0061] The preset system interface can be understood as the communication interface between the production safety risk prevention and control platform and the preset platform personnel management system, for example, it can include a RESTful API interface, a Lightweight Directory Access Protocol (LDAP) interface, etc.

[0062] The first preset encryption channel can be understood as a secure communication channel between the data monitoring module and the risk prevention and control evaluation module, which can ensure the confidentiality, integrity and reliability of multi-source data (device data, environmental data, personnel data) during transmission. For example, it can be implemented by using the Transport Layer Security (TLS) protocol, the Advanced Encryption Standard (AES) encryption algorithm, the Secure Hash Algorithm (SHA), the certificate authentication mechanism, etc.

[0063] In the embodiment of the present invention, the data monitoring module 11 may specifically include: a device data set acquisition unit 111 , an environment data set acquisition unit 112 , a personnel data set acquisition unit 113 and a data set sending unit 114 .

[0064] Specifically, the device data set acquisition unit 111 is specifically used to: access the preset device database, obtain device hardware parameter data and device software parameter data therefrom, and construct a corresponding platform device data set based on the above device hardware parameter data and device software parameter data, such as the platform device data set D device It can be expressed as: in, Represents the hardware parameter data of the mth device, Represents the software parameter data of the mth device, where m represents the number of devices in the production safety risk prevention and control platform.

[0065] The environmental data set acquisition unit 112 is specifically used to: access the preset environmental database, obtain environmental data such as temperature, humidity, and air quality index, and construct a corresponding platform environmental data set, such as the platform environmental data set D env It can be expressed as: Among them, E 实时 Represents real-time environmental monitoring data, Represents the nth historical environmental monitoring data; n represents the number of historical environmental monitoring data.

[0066] The personnel data set acquisition unit 113 is specifically used to: call a preset system interface such as RESTful API to obtain the personnel data of each operator from the preset platform personnel management system, and construct a corresponding platform personnel data set based on the above personnel data, such as the platform personnel data set D person It can be expressed as: D person ={P g，1 , P g，2 ,...,P g，r}, where P g，r It represents the actual personal information data of the rth operator in the gth position, g represents the position corresponding to the operator, and r represents the total number of operators included in the production safety risk prevention and control platform.

[0067] The data set sending unit 114 is specifically used to encapsulate the platform device data set, the platform environment data set and the platform personnel data set into a data packet of a specified format, and send it to the risk prevention and control evaluation module 12 through a first preset encryption channel.

[0068] In one embodiment, the risk prevention and control evaluation module 12 includes:

[0069] The equipment risk prevention and control evaluation unit 121 is used to call a preset equipment risk prevention and control evaluation model to determine an equipment risk prevention and control evaluation result corresponding to the platform equipment data set;

[0070] The environmental risk prevention and control evaluation unit 122 is used to call a preset environmental risk prevention and control evaluation model to determine the environmental risk prevention and control evaluation result corresponding to the platform environment data set;

[0071] The personnel risk prevention and control evaluation unit 123 is used to call a preset personnel risk prevention and control evaluation model to determine the personnel risk prevention and control evaluation result corresponding to the platform personnel data set;

[0072] The risk prevention and control evaluation result sending unit 124 is used to send the equipment risk prevention and control evaluation result, the environmental risk prevention and control evaluation result and the personnel risk prevention and control evaluation result to the risk prediction module 13 through a second preset encrypted channel.

[0073] Among them, the second preset encryption channel can be understood as a secure communication channel between the risk prevention and control evaluation module and the risk prediction module, which can ensure the confidentiality, integrity and reliability of the multi-source risk prevention and control evaluation results (equipment risk, environmental risk, personnel risk) during the transmission process. For example, it can be implemented using TLS protocol, AES encryption algorithm, SHA algorithm, certificate authentication mechanism, etc.

[0074] In an embodiment of the present invention, the risk prevention and control evaluation module 12 may specifically include: an equipment risk prevention and control evaluation unit 121 , an environmental risk prevention and control evaluation unit 122 , a personnel risk prevention and control evaluation unit 123 and a risk prevention and control evaluation result sending unit 124 .

[0075] Specifically, the equipment risk prevention and control evaluation unit 121 is specifically used to call a pre-configured preset equipment risk prevention and control evaluation model to integrate the equipment hardware parameter data and equipment software parameter data in the platform equipment data set to generate a corresponding equipment risk prevention and control evaluation result. The preset equipment risk prevention and control evaluation model is represented as:

[0076]

[0077] Among them, D Risk Indicates the equipment risk prevention and control evaluation results; represents the hardware parameter data of the i-th device; α1 represents the hardware parameter weight of the i-th device; represents the software parameter data of the i-th device; α2 represents the software parameter weight of the i-th device; Represents the comprehensive standard parameter data of the i-th device.

[0078] It is important to understand that the combination of hardware and software device parameters comprehensively reflects the operating status of the equipment. Abnormal changes in hardware data may be a precursor to equipment failure, and abnormal records in software data may also indicate potential safety hazards. Combining the two for analysis can detect possible equipment failures in advance, provide a basis for preventive maintenance, and achieve intelligent risk prevention and control evaluation of equipment.

[0079] The environmental risk prevention and control evaluation unit 122 is specifically used to call a pre-configured preset environmental risk prevention and control evaluation model to process the real-time environmental monitoring data and historical environmental monitoring data in the platform environmental data set to generate corresponding environmental risk prevention and control evaluation results. The preset environmental risk prevention and control evaluation model is represented as:

[0080]

[0081] Among them, E Risk Indicates the results of environmental risk prevention and control assessment; E 实时 Represents real-time environmental monitoring data; represents the jth historical environmental monitoring data; n represents the number of historical environmental monitoring data.

[0082] It is important to understand that temperature, humidity, air quality index, etc. are important environmental factors that affect the operation of the production safety risk prevention and control platform. By monitoring temperature, humidity, air quality index, etc., we can grasp the environmental impact of the operation of the production safety risk prevention and control platform in real time, and issue early warnings in time when the values ​​exceed the standards. At the same time, the comprehensive evaluation of multiple sets of data can reduce the error when the sensor obtains data and improve the credibility of the data.

[0083] The personnel risk prevention and control evaluation unit 123 is specifically used to call a pre-configured preset personnel risk prevention and control evaluation model to process the basic personal information in the platform personnel data set and generate a corresponding personnel risk prevention and control evaluation result. The preset personnel risk prevention and control evaluation model is represented as:

[0084]

[0085] Among them, P Risk Indicates the results of personnel risk prevention and control evaluation; P g，k represents the actual personal information data of the kth operator in the gth position; Represents the demand information data for the g-th position.

[0086] It should be understood that the basic data of the operator is also an important factor affecting safe production. By combining the operator's age, height, physical fitness, qualifications, and relevant work experience, it can be determined whether the operator of the position meets the job requirements and avoid a series of safety hazards caused by the mismatch between personnel and positions.

[0087] The risk prevention and control evaluation result sending unit 124 is specifically used to: encapsulate the equipment risk prevention and control evaluation results, the environmental risk prevention and control evaluation results and the personnel risk prevention and control evaluation results into a data packet in a specified format, and send it to the risk prediction module 13 through a second preset encryption channel.

[0088] In one embodiment, the risk prediction module 13 includes:

[0089] The equipment risk prediction unit 131 is configured to generate a corresponding equipment risk prediction result when the equipment risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset equipment risk threshold;

[0090] The environmental risk prediction unit 132 is configured to generate a corresponding environmental risk prediction result when the environmental risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset environmental risk threshold;

[0091] The personnel risk prediction unit 133 is configured to generate a corresponding personnel risk prediction result when the personnel risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset personnel risk threshold;

[0092] The risk prediction result sending unit 134 is used to send the equipment risk prediction result, the environmental risk prediction result and the personnel risk prediction result to the platform processing module 14 through a third preset encrypted channel.

[0093] Among them, the third preset encryption channel can be understood as a secure communication channel between the risk prediction module and the platform processing module, which can ensure the confidentiality, integrity and reliability of multi-source risk prediction results (equipment risk, environmental risk, personnel risk) during the transmission process. For example, it can be implemented using TLS protocol, AES encryption algorithm, SHA algorithm, certificate authentication mechanism, etc.

[0094] In an embodiment of the present invention, the risk prediction module 13 may specifically include: an equipment risk prediction unit 131 , an environment risk prediction unit 132 , a personnel risk prediction unit 133 and a risk prediction result sending unit 134 .

[0095] Specifically, the equipment risk prediction unit 131 is specifically used to: receive the equipment risk prevention and control evaluation result D sent by the risk prevention and control evaluation module 12 Risk , and when the equipment risk prevention and control evaluation results D Risk Greater than the preset equipment risk threshold θ device When the device is detected, a corresponding equipment risk prediction result is generated, which may include information such as risk level and recommended disposal measures.

[0096] The environmental risk prediction unit 132 is specifically used to: receive the environmental risk prevention and control evaluation result E sent by the risk prevention and control evaluation module 12Risk , and when the environmental risk prevention and control assessment results E Risk Greater than the preset environmental risk threshold θ env When the corresponding environmental risk prediction results are generated, for example, they may include information such as environmental risk type (such as temperature and humidity / air quality), risk level, and recommended disposal measures.

[0097] The personnel risk prediction unit 133 is specifically used to: receive the personnel risk prevention and control evaluation result P sent by the risk prevention and control evaluation module 12 Risk , and when the personnel risk prevention and control evaluation results P Risk Greater than the preset personnel risk threshold θ person When a person is identified as a risk factor, a corresponding personnel risk prediction result is generated, which may include, for example, job adaptation warning, risk level, recommended disposal measures and other information.

[0098] The risk prediction result sending unit 134 is specifically used to: encapsulate the equipment risk prediction results, environmental risk prediction results and personnel risk prediction results into a data packet in a specified format, and send it to the platform processing module 14 through a third preset encryption channel.

[0099] In one embodiment, the platform processing module 14 includes:

[0100] The equipment risk processing unit 141 is configured to generate a corresponding equipment risk signal according to the equipment risk prediction result in the risk prediction result, and perform a corresponding equipment risk emergency treatment according to the equipment risk signal;

[0101] The environmental risk processing unit 142 is configured to generate a corresponding environmental risk signal according to the environmental risk prediction result in the risk prediction result, and perform corresponding environmental risk emergency measures according to the environmental risk signal;

[0102] The personnel risk processing unit 143 is configured to generate a corresponding personnel risk signal according to the personnel risk prediction result in the risk prediction result, and perform corresponding personnel risk emergency treatment according to the personnel risk signal.

[0103] Equipment risk signals can refer to risk status indicators triggered by equipment risk prediction results. Equipment risk emergency response measures can refer to specific response measures taken in response to equipment risk signals. Examples include, but are not limited to, powering off equipment, switching to redundant equipment, sending early warning notifications to the operation and maintenance terminal, and generating maintenance work orders.

[0104] Environmental risk signals can refer to risk status indicators generated based on environmental risk prediction results. Environmental risk emergency response measures can refer to specific response measures taken in response to environmental risk signals, including but not limited to: activating air purification equipment, ventilation / air conditioning systems, and activating firefighting equipment.

[0105] A personnel risk signal can refer to a risk status indicator generated based on the personnel risk prediction results. Personnel risk emergency response can refer to specific response measures taken in response to personnel risk signals. Examples include, but are not limited to, restricting the operational permissions of unqualified personnel, sending job training notices, and suspending operations.

[0106] In an embodiment of the present invention, the platform processing module 14 may specifically include: an equipment risk processing unit 141, an environmental risk processing unit 142, and a personnel risk processing unit 143. Specifically, the equipment risk processing unit 141 is specifically used to: receive the equipment risk prediction result sent by the risk prediction module 13, generate a corresponding equipment risk signal based on the equipment risk prediction result, and perform corresponding equipment risk emergency disposal according to the equipment risk signal; illustratively, it may generate a corresponding equipment high-risk signal based on the received equipment risk prediction result, issue a shutdown instruction to the corresponding high-risk equipment according to the equipment high-risk signal, and call the equipment management system API to initiate backup equipment switching.

[0107] The environmental risk processing unit 142 is specifically used to: receive the environmental risk prediction results sent by the risk prediction module 13, generate a corresponding environmental risk signal based on the environmental risk prediction results, and perform corresponding environmental risk emergency disposal according to the environmental risk signal; exemplarily, it can generate a corresponding temperature and humidity abnormality signal based on the received environmental risk prediction results, and start the ventilation / air-conditioning system according to the temperature and humidity abnormality signal.

[0108] The personnel risk processing unit 143 is specifically used to: receive the personnel risk prediction results sent by the risk prediction module 13, generate a corresponding personnel risk signal based on the personnel risk prediction results, and perform corresponding personnel risk emergency disposal according to the personnel risk signal; exemplarily, it can generate a corresponding job mismatch signal based on the received personnel risk prediction results, and disable the operating authority of the corresponding illegal operator according to the job mismatch signal, and push a job training notification to the illegal operator.

[0109] The dynamic safety risk assessment system provided by the embodiment of the present invention can accurately identify multiple potential risk factors of the production safety risk prevention and control platform by performing equipment risk prevention and control assessment, environmental risk prevention and control assessment and personnel risk prevention and control assessment based on the platform equipment data set, platform environment data set and platform personnel data set; in the equipment risk prevention and control assessment, through comprehensive analysis of hardware and software, it is possible to timely discover abnormalities in the equipment; in the environmental assessment, it is possible to timely discover the impact of the environment on the production safety risk prevention and control platform, helping enterprises to identify and improve adverse working environment factors; in the personnel risk prevention and control assessment, through the personal basic information data of the personnel, it is possible to timely discover abnormal situations in personnel operations, realize a comprehensive dynamic intelligent risk prevention and control assessment of the production safety risk prevention and control platform, accurately reflect the real risks of the platform, and make targeted emergency disposal, thereby ensuring the safe and stable operation of enterprise production.

[0110] Example 3

[0111] Figure 3 A flowchart of a dynamic safety risk assessment method is provided for the third embodiment of the present invention. This embodiment is applicable to the intelligent risk prevention and control assessment of the production safety risk prevention and control platform and to make targeted emergency disposal. This method can be executed by the dynamic safety risk assessment system in the above embodiment. Figure 3 As shown, the third embodiment provides a dynamic security risk assessment method, which specifically includes the following steps:

[0112] S210. Obtain a multi-source platform data set through a data monitoring module, and send the multi-source platform data set to a risk prevention and control evaluation module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set.

[0113] In an embodiment of the present invention, a multi-source platform dataset can be obtained by calling a data monitoring module, and the multi-source platform dataset is sent to a risk prevention and control evaluation module through a network; wherein the multi-source platform dataset includes at least: a platform equipment dataset, a platform environment dataset, and a platform personnel dataset.

[0114] Furthermore, based on the above-mentioned embodiment of the invention, S210 specifically includes the following steps:

[0115] S2101. Obtain device hardware parameter data and device software parameter data from a preset device database through a device data set acquisition unit, and construct a platform device data set based on the device hardware parameter data and the device software parameter data;

[0116] S2102, obtaining environmental data from a preset environmental database through an environmental data set obtaining unit, and constructing a platform environmental data set based on the environmental data;

[0117] S2103. The personnel data set acquisition unit calls a preset system interface to acquire personnel data from a preset platform personnel management system, and constructs a platform personnel data set based on the personnel data.

[0118] S2104. The platform device dataset, the platform environment dataset, and the platform personnel dataset are sent to the risk prevention and control evaluation module through a first preset encryption channel by the dataset sending unit.

[0119] S220. Determine the risk prevention and control evaluation result corresponding to the multi-source platform data set by using a preset risk prevention and control evaluation model through the risk prevention and control evaluation module, and send the risk prevention and control evaluation result to the risk prediction module.

[0120] In an embodiment of the present invention, the risk prevention and control evaluation module can be called to receive the multi-source platform data set transmitted by the data monitoring module, and the pre-configured preset risk prevention and control evaluation model can be called to perform risk prevention and control evaluation on the above-mentioned multi-source platform data set to obtain risk prevention and control evaluation results in different dimensions (such as equipment, environment, personnel, etc.), and then the risk prevention and control evaluation results can be sent to the risk prediction module through the network.

[0121] Furthermore, based on the above-mentioned embodiment of the invention, S220 specifically includes the following steps:

[0122] S2201. The device risk prevention and control evaluation unit calls a preset device risk prevention and control evaluation model to determine the device risk prevention and control evaluation result corresponding to the platform device data set;

[0123] S2202: The environmental risk prevention and control evaluation unit calls a preset environmental risk prevention and control evaluation model to determine the environmental risk prevention and control evaluation result corresponding to the platform environmental data set;

[0124] S2203: The personnel risk prevention and control evaluation unit calls a preset personnel risk prevention and control evaluation model to determine the personnel risk prevention and control evaluation result corresponding to the platform personnel data set;

[0125] S2204. The risk prevention and control evaluation result sending unit sends the equipment risk prevention and control evaluation result, the environmental risk prevention and control evaluation result, and the personnel risk prevention and control evaluation result to the risk prediction module through a second preset encrypted channel.

[0126] Furthermore, based on the above-mentioned embodiment of the invention, the preset equipment risk prevention and control evaluation model is expressed as:

[0127]

[0128] Among them, D Risk Indicates the equipment risk prevention and control evaluation results; represents the hardware parameter data of the i-th device; α represents the hardware parameter weight of the i-th device; represents the software parameter data of the i-th device; α2 represents the software parameter weight of the i-th device; Represents the comprehensive standard parameter data of the i-th device;

[0129] The preset environmental risk prevention and control evaluation model is expressed as:

[0130]

[0131] Among them, E Risk Indicates the results of environmental risk prevention and control assessment; E 实时 Represents real-time environmental monitoring data; represents the jth historical environmental monitoring data; n represents the number of historical environmental monitoring data;

[0132] The preset personnel risk prevention and control evaluation model is expressed as:

[0133]

[0134] Among them, P Risk Indicates the results of personnel risk prevention and control evaluation; P g，k represents the actual personal information data of the kth operator in the gth position; Represents the demand information data for the g-th position.

[0135] S230. The risk prediction module determines the corresponding risk prediction result according to the risk prevention and control evaluation result and the preset risk threshold, and sends the risk prediction result to the platform processing module.

[0136] In an embodiment of the present invention, the risk prediction module can be called to receive the risk prevention and control evaluation results from the risk prevention and control evaluation module, and the risk prediction results of different dimensions (such as equipment, environment, personnel, etc.) can be judged using the pre-configured preset risk threshold to obtain the risk prediction results, and then the risk prediction results can be sent to the platform processing module through the network.

[0137] Furthermore, based on the above-mentioned embodiment of the invention, S230 specifically includes the following steps:

[0138] S2301. When the equipment risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset equipment risk threshold, the equipment risk prediction unit generates a corresponding equipment risk prediction result;

[0139] S2302. When the environmental risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset environmental risk threshold, the environmental risk prediction unit generates a corresponding environmental risk prediction result;

[0140] S2303. When the personnel risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset personnel risk threshold, a corresponding personnel risk prediction result is generated by the personnel risk prediction unit;

[0141] S2304. The risk prediction result sending unit sends the equipment risk prediction result, the environmental risk prediction result, and the personnel risk prediction result to the platform processing module through a third preset encrypted channel.

[0142] S240. Execute corresponding risk emergency measures according to the risk prediction results through the platform processing module.

[0143] In an embodiment of the present invention, the risk prediction results sent by the risk prediction module can be received by calling the platform processing module, and corresponding risk emergency disposal can be performed based on the risk prediction results. For example, according to the identification and risk level of the risky equipment in the risk prediction results, the corresponding equipment can be emergency disposed of (such as immediately cutting off the power supply of the equipment). For example, according to the environmental risk level in the risk prediction results, the corresponding emergency disposal operation (such as starting the ventilation system) can be performed, etc., thereby achieving targeted emergency disposal of the risks existing in the production safety risk prevention and control platform, ensuring the safe and stable operation of the enterprise production.

[0144] Furthermore, based on the above-mentioned embodiment of the invention, S240 specifically includes the following steps:

[0145] S2401. Generate, by the equipment risk processing unit, a corresponding equipment risk signal according to the equipment risk prediction result in the risk prediction result, and perform corresponding equipment risk emergency disposal according to the equipment risk signal;

[0146] S2402. Generate, by the environmental risk processing unit, a corresponding environmental risk signal according to the environmental risk prediction result in the risk prediction result, and perform corresponding environmental risk emergency measures according to the environmental risk signal;

[0147] S2403. Generate a corresponding personnel risk signal according to the personnel risk prediction result in the risk prediction result through the personnel risk processing unit, and perform corresponding personnel risk emergency disposal according to the personnel risk signal.

[0148] The dynamic safety risk assessment method provided by the embodiment of the present invention includes: obtaining a multi-source platform data set through a data monitoring module, and sending the multi-source platform data set to a risk prevention and control assessment module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set; determining the risk prevention and control assessment result corresponding to the multi-source platform data set by the risk prevention and control assessment module using a preset risk prevention and control assessment model, and sending the risk prevention and control assessment result to the risk prediction module; determining the corresponding risk prediction result according to the risk prevention and control assessment result and a preset risk threshold through the risk prediction module, and sending the risk prediction result to the platform processing module; executing the corresponding risk emergency disposal according to the risk prediction result through the platform processing module. The use of this dynamic safety risk assessment method can accurately identify the potential risk factors of the production safety risk prevention and control platform in multiple dimensions, realize a comprehensive dynamic intelligent risk prevention and control assessment of the production safety risk prevention and control platform, accurately reflect the real risks of the platform, and make targeted emergency disposal, thereby ensuring the safety and stable operation of enterprise production.

[0149] Example 4

[0150] Figure 4 A schematic diagram of the structure of an electronic device 30 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0151] like Figure 4 As shown, the electronic device 30 includes at least one processor 31 and a memory, such as a read-only memory (ROM) 32, a random access memory (RAM) 33, etc., which is communicatively connected to the at least one processor 31. The memory stores a computer program that can be executed by the at least one processor. The processor 31 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 32 or the computer program loaded from the storage unit 38 into the random access memory (RAM) 33. Various programs and data required for the operation of the electronic device 30 can also be stored in the RAM 33. The processor 31, ROM 32, and RAM 33 are connected to each other via a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0152] Multiple components in the electronic device 30 are connected to the I / O interface 35, including an input unit 36, such as a keyboard, a mouse, etc.; an output unit 37, such as various types of displays, speakers, etc.; a storage unit 38, such as a magnetic disk, an optical disk, etc.; and a communication unit 39, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0153] Processor 31 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, digital signal processors (DSPs), and any appropriate processor, controller, microcontroller, etc. Processor 31 executes the various methods and processes described above, such as the dynamic security risk assessment method.

[0154] In some embodiments, the dynamic security risk assessment method can be implemented as a computer program that is tangibly contained in a computer-readable storage medium, such as storage unit 38. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 30 via ROM 32 and / or communication unit 39. When the computer program is loaded into RAM 33 and executed by processor 31, one or more steps of the dynamic security risk assessment method described above can be performed. Alternatively, in other embodiments, processor 31 can be configured to perform the dynamic security risk assessment method in any other appropriate manner (e.g., by means of firmware).

[0155] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] In some embodiments, the dynamic security risk assessment method can be implemented as a computer program, which is invisibly included in a computer program product. When the computer program is executed by a processor, it implements the dynamic security risk assessment method of the present invention. The computer program product can be understood as a software product that mainly implements its solution through a computer program. The computer program used to implement the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0157] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0158] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0159] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0160] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0161] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0162] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A dynamic security risk assessment system, characterized in that: The system comprises: A data monitoring module is configured to obtain a multi-source platform data set and send the multi-source platform data set to a risk prevention and control evaluation module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set; The risk prevention and control evaluation module is used to determine the risk prevention and control evaluation result corresponding to the multi-source platform data set using a preset risk prevention and control evaluation model, and send the risk prevention and control evaluation result to the risk prediction module; The risk prediction module is used to determine a corresponding risk prediction result based on the risk prevention and control evaluation result and a preset risk threshold, and send the risk prediction result to the platform processing module; The platform processing module is used to perform corresponding risk emergency disposal according to the risk prediction result.

2. The system according to claim 1, wherein: The data monitoring module includes: a device data set acquisition unit, configured to acquire device hardware parameter data and device software parameter data from a preset device database, and construct the platform device data set based on the device hardware parameter data and the device software parameter data; An environment data set acquisition unit, configured to acquire environment data from a preset environment database and construct the platform environment data set based on the environment data; A personnel data set acquisition unit, configured to call a preset system interface to acquire personnel data from a preset platform personnel management system, and construct the platform personnel data set based on the personnel data; The data set sending unit is used to send the platform device data set, the platform environment data set and the platform personnel data set to the risk prevention and control evaluation module through a first preset encryption channel.

3. The system according to claim 1, wherein: The risk prevention and control evaluation module includes: An equipment risk prevention and control evaluation unit, configured to call a preset equipment risk prevention and control evaluation model to determine an equipment risk prevention and control evaluation result corresponding to the platform equipment data set; An environmental risk prevention and control evaluation unit, configured to call a preset environmental risk prevention and control evaluation model to determine an environmental risk prevention and control evaluation result corresponding to the platform environmental data set; A personnel risk prevention and control evaluation unit, configured to call a preset personnel risk prevention and control evaluation model to determine a personnel risk prevention and control evaluation result corresponding to the platform personnel data set; The risk prevention and control evaluation result sending unit is used to send the equipment risk prevention and control evaluation result, the environmental risk prevention and control evaluation result and the personnel risk prevention and control evaluation result to the risk prediction module through a second preset encrypted channel.

4. The system according to claim 3, characterized in that The preset equipment risk prevention and control evaluation model is expressed as: Among them, D Risk Indicates the risk prevention and control evaluation results of the equipment; represents the hardware parameter data of the i-th device; α represents the hardware parameter weight of the i-th device; represents the software parameter data of the i-th device; α2 represents the software parameter weight of the i-th device; Represents the comprehensive standard parameter data of the i-th device; The preset environmental risk prevention and control evaluation model is expressed as: Among them, E Risk Indicates the environmental risk prevention and control assessment results; E 实时 Represents real-time environmental monitoring data; represents the jth historical environmental monitoring data; n represents the number of historical environmental monitoring data; The preset personnel risk prevention and control evaluation model is expressed as: Among them, P Risk Indicates the risk prevention and control evaluation results of the personnel; P g，k represents the actual personal information data of the kth operator in the gth position; Represents the demand information data of the g-th position.

5. The system according to claim 1, wherein: The risk prediction module includes: an equipment risk prediction unit, configured to generate a corresponding equipment risk prediction result when an equipment risk prevention and control evaluation result in the risk prevention and control evaluation results is greater than a preset equipment risk threshold; An environmental risk prediction unit, configured to generate a corresponding environmental risk prediction result when an environmental risk prevention and control evaluation result in the risk prevention and control evaluation results is greater than a preset environmental risk threshold; A personnel risk prediction unit, configured to generate a corresponding personnel risk prediction result when a personnel risk prevention and control evaluation result in the risk prevention and control evaluation result is greater than a preset personnel risk threshold; The risk prediction result sending unit is used to send the equipment risk prediction result, the environmental risk prediction result and the personnel risk prediction result to the platform processing module through a third preset encrypted channel.

6. The system according to claim 1, wherein: The platform processing module includes: an equipment risk processing unit, configured to generate a corresponding equipment risk signal according to the equipment risk prediction result in the risk prediction result, and perform corresponding equipment risk emergency treatment according to the equipment risk signal; an environmental risk processing unit, configured to generate a corresponding environmental risk signal according to the environmental risk prediction result in the risk prediction result, and perform corresponding environmental risk emergency disposal according to the environmental risk signal; The personnel risk processing unit is used to generate a corresponding personnel risk signal according to the personnel risk prediction result in the risk prediction result, and perform corresponding personnel risk emergency disposal according to the personnel risk signal.

7. A dynamic security risk assessment method, characterized in that: Applied to the dynamic security risk assessment system according to any one of claims 1 to 6, the method comprises: Acquire a multi-source platform data set through a data monitoring module, and send the multi-source platform data set to a risk prevention and control evaluation module; wherein the multi-source platform data set includes at least: a platform equipment data set, a platform environment data set, and a platform personnel data set; Determine the risk prevention and control evaluation result corresponding to the multi-source platform data set by the risk prevention and control evaluation module using a preset risk prevention and control evaluation model, and send the risk prevention and control evaluation result to the risk prediction module; Determine a corresponding risk prediction result according to the risk prevention and control evaluation result and a preset risk threshold by the risk prediction module, and send the risk prediction result to the platform processing module; The platform processing module executes corresponding risk emergency disposal according to the risk prediction results.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the dynamic security risk assessment method according to claim 7.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the dynamic security risk assessment method according to claim 7 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the dynamic security risk assessment method according to claim 7 is implemented.

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