Chemical workshop safety risk online management and control system

Abstract

The invention discloses a chemical workshop safety risk online management and control system, and relates to the technical field of workshop production management, the system realizes integrated acquisition of multi-source and multi-dimensional safety data, and establishes a safety database to realize centralized management of the safety data; the security risk is monitored and analyzed in real time by using the security algorithm model, so that the dependence on manpower is reduced; and after abnormity occurs, graded and classified early warning / alarm is triggered in real time, and the security event can be handled according to the handling rule base, so that the efficiency of security management and control is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of workshop production management, and particularly to an online control system for safety risks in a chemical workshop. Background Art

[0002] Safety management in chemical workshops is the focus and difficulty of enterprise safety management. At present, the safety protection management level of most chemical workshops is still relatively backward. Safety data is scattered, highly dependent on manual work for safety risk identification and decision-making, with low control efficiency and high costs. Facing higher and more refined requirements for workshop safety management, it is urgent to explore digital and intelligent online control methods for workshop safety risks, apply safety risk intelligent identification technology to manage and identify safety risks and important hazard sources in the workshop, and improve the safety management ability of chemical workshops.

[0003] A method and system for controlling workshop production safety and a method and system for risk assessment (202410486211.4) provide a method for controlling workshop production safety, which is divided into four processes: firstly, obtaining safety problems and the control areas corresponding to the safety problems; secondly, automatically initiating a safety problem handling process according to the safety problem process configuration; thirdly, tracking the safety problem handling process; and fourthly, problem timeout warning. After identifying a safety problem, this invention will automatically initiate a safety problem handling process according to the safety problem process configuration and monitor the safety problem handling process. When it is found that the problem handling times out, it will issue a hierarchical warning, thus achieving efficient control and timely warning.

[0004] The focus of this invention (202410486211.4) is on the post-disposal of safety problems, without covering risk factor identification, safety training, etc. According to the requirements of "Risk Management" in the "Guidelines for Chemical Process Safety Management" (AQ / T 3034 - 2022) issued by the National Emergency Management Department, enterprises should ensure that risks are under control through hazard identification, risk assessment, risk control, and risk monitoring; formulate education and training plans for various personnel according to the actual needs of the enterprise, and conduct safety education and training regularly. Moreover, when obtaining safety problems, this invention only accesses a video recognition module and an Andon feedback receiving module. Most of the safety problems recognized by the video recognition module are related to personnel violations, and the safety data dimension is small.

[0005] A method, device, and system for intelligent control of major safety risks in an enterprise (202410888858.X) set up local service nodes at each base and a platform center for multiple bases. The local service nodes receive real-time data from each working workshop; compare the real-time data with a threshold value to determine whether it is abnormal, issue a warning for abnormalities, and transmit the real-time data and risk warning data to the terminal center platform.

[0006] The invention (202410888858.X) is oriented towards the safety control of enterprises. Therefore, the key consideration is to adopt a distributed architecture of "platform center - multiple local service nodes" to collect and monitor data and video data, and through reliable data transmission, uniformly send them to the platform center for overall risk management of all bases. And this invention is oriented towards the safety control of chemical workshops, with the object of orientation sinking to the workshop level, and the goal to be solved is the all-round (man, machine, material, method, environment) safety control at the workshop level. The starting points and purposes of the two are different. At the same time, the abnormal analysis of the invention (202410888858.X) only uses threshold judgment and does not combine algorithm models, etc. for risk abnormal analysis. This invention not only has threshold judgment in risk identification and intelligent analysis, but also combines an algorithm model library.

[0007] A safety control system based on graphite purification (202310475543.8) includes a processing workshop data collection module, a raw material data collection module, a fire-fighting equipment data collection module, a data processing module, a general control module, and a message sending module. The data processing module processes different processing workshop information to obtain workshop control information, including personnel wearing identification, equipment life, air and wastewater threshold judgment, chlorine concentration threshold judgment, image information processing, etc.

[0008] The invention (202310475543.8) has conducted more explorations in safety anomaly identification (data processing), real-time monitoring of safety data during the graphite purification process, and will immediately alarm once there is an anomaly. However, not much exploration has been done on anomaly handling. In this invention, after an anomaly is discovered, safety events can be handled according to the handling rule library, safety hazards can be promptly dealt with, and safety data can be statistically analyzed to comprehensively record the generation, alarm, and elimination processes of safety risks of personnel, materials, equipment, environment, etc. during the production process, realizing the traceability of safety events. Summary of the Invention

[0009] In view of the above problems, this invention provides an online safety risk control system for chemical workshops to overcome or at least partially solve the above problems.

[0010] This invention provides the following solutions:

[0011] An online safety risk control system for chemical workshops, comprising:

[0012] A data collection module, which is used for collecting safety data, and the safety data includes personnel data, equipment data, material data, and environmental data;

[0013] A risk factor identification module, which is used to achieve the configuration identification and management of risk factors;

[0014] A risk analysis module, which is used to realize the integrated configuration of the algorithm model, and realize personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis and comprehensive risk analysis;

[0015] A security online monitoring module, which is used to perform real-time visual monitoring of security situations;

[0016] A safety risk warning module, which is used to implement graded warning alarms for safety hazards and link sound and light alarm devices to warn of hidden dangers;

[0017] A security incident handling module, which is used to manage and handle security warning alarm events;

[0018] A security statistics analysis module, which is used to implement statistical analysis of security incident reports;

[0019] A safety knowledge training module, which is used to implement safety knowledge management, training statistical analysis, safety training management, and my training management.

[0020] Preferably: the driver kernel of the data acquisition module is designed with object-oriented concept, and the driver is released in the form of DLL to realize the modularization of the program.

[0021] Preferably: the configuration identification of the hazardous factors includes the configuration identification of personnel hazardous factors, the configuration identification of equipment factors, the configuration identification of material factors and the configuration identification of environmental factors; the management of the hazardous factors includes enabling, disabling, modifying and deleting operations, and after being disabled, the system stops identifying the risk factor.

[0022] Preferably: the risk analysis module adopts a combination of threshold analysis and algorithm model, and adopts different analysis methods according to different risk factors, and the analysis methods include personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis and comprehensive risk analysis.

[0023] Preferably: the personnel risk analysis includes the analysis and identification of human unsafe factors through feature extraction and behavior recognition; the equipment risk analysis includes the configuration of an equipment health assessment model and a performance prediction model to evaluate whether the current working condition of the equipment is normal and predict the health status of the equipment; the material risk analysis includes the configuration of material risk factor analysis and the configuration to access various material-related data sources; the environmental risk analysis includes the configuration of a video recognition algorithm to conduct risk analysis on fire channels and material placement positions, the configuration to access various environment-related data sources, and the customization of safety thresholds; the comprehensive risk analysis includes a comprehensive assessment of the four aspects of personnel, equipment, materials, and environment, and is calculated by weighted summation.

[0024] Preferably: the safety online monitoring module includes a personnel online monitoring page, an equipment online monitoring page, an environmental online monitoring page, a material online monitoring page, and a comprehensive online monitoring page.

[0025] Preferably: the safety risk warning module starts the identification and monitoring of risk factors, continuously monitors according to the configuration, generates a safety event when an abnormality is determined, and realizes the hierarchical warning of potential safety hazards.

[0026] Preferably: the safety event handling module includes a personnel handling list library, an equipment locking list library, and a handling rule library; the personnel handling list library includes a shift blacklist, a workshop blacklist, and a list for enhanced training; the equipment locking list library is used to generate an alarm when the equipment is running after it enters the equipment locking list; the handling rule library is used to set handling rules for various safety events, and is set according to the safety event level.

[0027] Preferably: the safety statistical analysis module realizes the safety statistical analysis of personnel, equipment, materials, environment, and comprehensive through generating safety reports, provides daily reports, weekly reports, monthly reports, and quarterly reports, and supports the statistical analysis of data in the form of pie charts, bar charts, line charts, and statistical tables.

[0028] Preferably: the safety knowledge management module is used to realize the import or entry of safety management systems, emergency handling management, safety accident cases and other knowledge, and realize the management of safety knowledge; the training statistical analysis is used to display the training statistical analysis situation in the form of charts; the safety training management includes training plan management and historical training management, and the training plan management is used to display all current training plans; the sub-management of my training includes the training I participated in and the training I initiated.

[0029] According to the specific embodiments provided by the present invention, the following technical effects of the present invention are disclosed:

[0030] An online safety risk control system for chemical workshops provided by the embodiments of the present application realizes the integrated collection of multi-source and multi-dimensional safety data, establishes a safety database to realize the centralized management of safety data; applies a safety algorithm model to monitor and analyze safety risks in real time, reducing the dependence on manual labor; triggers hierarchical and classified early warnings / alarm in real time after anomalies occur, and can dispose of safety events according to the disposal rule library, improving the efficiency of safety control.

[0031] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1 is a framework diagram of an online safety risk control system for chemical workshops provided by the embodiments of the present invention;

[0034] Figure 2 is a flow chart of comprehensive risk analysis configuration provided by the embodiments of the present invention;

[0035] Figure 3 is a schematic diagram of a comprehensive online monitoring page provided by the embodiments of the present invention;

[0036] Figure 4 is a data flow diagram provided by the embodiments of the present invention;

[0037] Figure 5 is a schematic diagram of system deployment provided by the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0039] Refer to Figure 1 , an online safety risk control system for chemical workshops provided by the embodiments of the present invention, as Figure 1 shown, the system may include:

[0040] Data acquisition module, which is used to collect safety data, including personnel data, equipment data, material data, and environmental data. Specifically, in the implementation of this application, the driver kernel of the data acquisition module can be designed using object-oriented thinking and released in the form of a DLL to achieve program modularization.

[0041] Hazard factor identification module, which is used to realize the configuration identification and management of hazard factors. Specifically, in the implementation of this application, the configuration identification of hazard factors can include the configuration identification of personnel hazard factors, equipment factors, material factors, and environmental factors; the management of hazard factors includes enabling, disabling, modifying, and deleting operations. After disabling, the system stops identifying the risk factor.

[0042] Risk analysis module, which is used to realize the integrated configuration of algorithm models and conduct personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis, and comprehensive risk analysis. Specifically, in the implementation of this application, the risk analysis module can adopt a combination of threshold analysis and algorithm models, and different analysis methods are used according to different hazard factors. The analysis methods include personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis, and comprehensive risk analysis. Further, the personnel risk analysis includes analyzing and identifying human unsafe factors through feature extraction and behavior recognition; the equipment risk analysis includes configuring equipment health assessment models and performance prediction models to evaluate whether the current working conditions of the equipment are normal and predict the health status of the equipment; the material risk analysis includes configuring material hazard factor analysis and accessing various material-related data sources; the environmental risk analysis includes configuring video recognition algorithms to analyze the risks of fire channels and material placement positions, accessing various environment-related data sources, and customizing safety thresholds; the comprehensive risk analysis includes comprehensively evaluating personnel, equipment, materials, and the environment and calculating using the weighted summation method.

[0043] Safety online monitoring module, which is used to conduct real-time visual monitoring of the safety situation. Specifically, in the implementation of this application, the safety online monitoring module can include a personnel online monitoring page, an equipment online monitoring page, an environmental online monitoring page, a material online monitoring page, and a comprehensive online monitoring page;

[0044] Safety risk warning module, which is used to achieve hierarchical warning and alarm for potential safety hazards and link with the audible and visual alarm device for hazard reminder; specifically, in implementation, the embodiment of the present application can provide that the safety risk warning module starts the identification and monitoring of risk factors, continuously monitors according to the configuration, generates a safety event when an abnormality is determined, and realizes the hierarchical warning of potential safety hazards.

[0045] Safety event handling module, which is used to achieve the handling and management of safety warning and alarm events; specifically, in implementation, the embodiment of the present application can provide that the safety event handling module includes a personnel handling list library, an equipment locking list library, and a handling rule library; the personnel handling list library includes a shift blacklist, a workshop blacklist, and a strengthened training list; the equipment locking list library is used to generate an alarm when the equipment is in operation after it enters the equipment locking list; the handling rule library is used to set the handling rules for various safety events and is set according to the safety event level.

[0046] Safety statistics and analysis module, which is used to achieve the report statistics and analysis of safety events; specifically, in implementation, the embodiment of the present application can provide that the safety statistics and analysis module realizes the personnel, equipment, materials, environment, and comprehensive safety statistics and analysis by generating safety reports, provides daily reports, weekly reports, monthly reports, and quarterly reports, and supports the statistical and analysis of data in the forms of pie charts, bar charts, line charts, and statistical tables.

[0047] Safety knowledge training module, which is used to achieve safety knowledge management, training statistics and analysis, safety training management, and my training management. Specifically, in implementation, the embodiment of the present application can provide that the safety knowledge management module is used to achieve the management of safety knowledge by importing or entering safety management systems, emergency handling management, safety accident cases, etc.; the training statistics and analysis is used to display the training statistics and analysis situation in the form of charts; the safety training management includes training plan management and historical training management, and the training plan management is used to display all current training plans; the my training sub - management includes the training I participated in and the training I initiated.

[0048] The solution provided by this application forms a system for online control of safety risks in chemical workshops, covering aspects such as identification of risk factors, intelligent risk analysis, online safety monitoring, safety risk early warning, handling of safety incidents, safety statistical analysis, and safety training management. The system realizes the integrated collection of multi-source and multi-dimensional safety data through a data collection module, and establishes a safety database to achieve centralized management of safety data. The intelligent risk analysis adopts a combination of threshold analysis and algorithm models, and different methods are used according to different risk factors. The system integrates control systems, explosion-proof terminals, barcode scanners, cameras, and sensors on the workshop site, stores multi-source safety data in a data server, and the application server provides an environment for the deployment and operation of the system. The safety situation is displayed through a visual display screen in the central control room. The safety monitoring client can view the online safety monitoring and analysis situation, and when an abnormality occurs, it can link with an audible and visual alarm device to timely remind relevant personnel. Safety incidents can be tracked and processed on the incident handling client.

[0049] The system provided by this application is introduced in detail below.

[0050] This application provides a system for online control of safety risks in chemical workshops, mainly including data collection, identification of risk factors, intelligent risk analysis, online safety monitoring, safety risk early warning, handling of safety incidents, safety statistical analysis, and safety knowledge training. The composition diagram is as Figure 1 shown.

[0051] (1) Safety data integration module

[0052] The safety data integration module realizes the collection of personnel data, equipment data, material data, and environmental data in chemical workshops, and focuses on special requirements such as explosion protection, corrosion prevention, high precision requirements, and anti-static in the workshop site to ensure real-time, accurate, and safe collection of on-site data. The safety database realizes hierarchical and classified storage of safety data, including real-time data and structured data. It mainly includes:

[0053] ① For process links where existing data cannot be collected, corresponding sensors are added to ensure the perceptibility, accessibility, and quantifiability of data; for example, vibration sensors are installed on special process machines to sense the three-axis vibration data of the equipment.

[0054] ② Environmental sensors are installed, including temperature and humidity sensors, dust sensors, combustible gas sensors, etc., and sensor data is collected through the ModbusTCP protocol.

[0055] ③ Connect to control systems, including PLC, DCS, SCADA, etc., to obtain real-time process data, equipment data, material data, etc.

[0056] ④ Connect to other information systems, including MES systems, WMS systems, etc., to obtain material data, production data, etc.

[0057] The driver kernel of the data acquisition system is designed with the object-oriented concept. The driver is released in the form of DLL to achieve program modularization. When there are problems in the program, only the code of the relevant DLL needs to be modified and put back into use; when the program is running, only the required DLL modules are loaded when needed and can be unloaded from the memory after use, which can effectively improve the utilization rate of system resources.

[0058] (2) Security risk analysis module.

[0059] ① Hazard factor identification module.

[0060] As shown in Table 1, the hazard factor identification sub-module provides the identification of 23 risk factors, which can be viewed according to four types: personnel, equipment, materials, and environment. It realizes the management of hazard factors, including enabling, disabling, modifying, and deleting operations. After disabling, the system stops identifying this risk factor. The risk factors can be configured, including information such as the monitored object, warning level, warning threshold, and detection period for risk factor identification. When the hazard factor identification is started, the system will regularly run risk monitoring according to the configured detection period to identify the monitored object and generate warnings at the configured level.

[0061] Table 1

[0062]

[0063]

[0064] ② Risk analysis module.

[0065] The risk analysis module combines threshold analysis and algorithm models. Different methods are adopted according to different hazard factors, mainly including personnel risk analysis, equipment risk analysis, materials risk analysis, environment risk analysis, and comprehensive risk analysis.

[0066] In personnel risk analysis, the analysis and identification of human unsafe factors are achieved through feature extraction and behavior recognition. Human joint points are extracted to establish a skeletal node model. The relative position information of the skeletal nodes of the human body is recognized to define the human posture. Depending on the camera to detect the target human body, the three-dimensional skeletal node features of the human target are obtained, and a feature model is established using node positions, node activities, dynamic time series, etc. The target human body motion detection is completed through model matching. Through the feature extraction of the skeletal nodes, deep learning is carried out starting from the posture structure of the human body itself, matching with the human action database, and finally through the selection of continuous sequences, the understanding and description of behaviors are completed to achieve the recognition of workers' operation behaviors. The video recognition algorithm model mainly includes: personnel protective clothing (helmet wearing, work clothing wearing), whether carrying dangerous goods (flame detection, lighter detection), whether electrostatic detection has been carried out (electrostatic elimination behavior detection). It supports the configuration of employee status (such as age), certificate requirements, and skill training requirements, and the system periodically performs status detection.

[0067] In equipment risk analysis, the configuration of the equipment health assessment model and the performance prediction model is realized to evaluate whether the current working condition of the equipment is normal and predict the health status of the equipment. The system evaluates the health status of the entire equipment (or key components) according to the formed equipment model, the current detection data, and historical data. The evaluation results can be presented in a graphical or text format and graded according to the user's daily usage habits. When abnormal equipment status (abnormal state) is found in the evaluation results, different levels of preset actions can be used to prompt, suggest, warn, and alert the user. The relevant means include but are not limited to bell prompts, system pop-up warnings, sound and light warnings, etc. At the same time, the system will also push relevant messages to the push interface according to the preset actions, facilitating third-party systems to discover problems in a timely manner for processing.

[0068] In material risk analysis, the configuration of material risk factor analysis is realized, and the configuration is realized to access various material-related data sources. In environmental risk analysis, the configuration of the video recognition algorithm is realized to conduct risk analysis on fire channels, material placement positions, etc.; the configuration is realized to access various environment-related data sources and customize safety thresholds.

[0069] In comprehensive risk analysis, the main risk factor indicators are quantitatively configured, the comprehensive risk situation parameters of the workshop are configured and defined, and the qualitative indicators are quantitatively processed. Comprehensive risk analysis comprehensively evaluates the four aspects of personnel, equipment, materials, and environment, and calculates using the weighted summation method.

[0070] Comprehensive risk situation score = (value 1 × weight 1) + (value 2 × weight 2) +... + (value n × weight n)

[0071] First, it is necessary to configure the weights of four aspects: personnel, equipment, materials, and environment (the sum of the weights is 1); second, configure the quantification processing configuration of specific qualitative indicators under each classification, support the addition of configuration items. During the configuration process, only the risk factors that need to be included in the evaluation scope need to be configured. If it is determined that a certain risk factor does not need to be included in the evaluation scope, then there is no need to configure it, and the system will not calculate this risk factor. For example, the equipment maintenance index is divided into 1-5 for measurement, and the larger the value, the greater the safety risk of the equipment maintenance index. The specific configuration process is as Figure 2 shown.

[0072] (3) Safety online control module.

[0073] ① Safety online monitoring module.

[0074] Access various safety data to achieve real-time visual monitoring of the safety situation of personnel, equipment, materials, environment, and comprehensive aspects.

[0075] The personnel online monitoring page is divided into four sections to comprehensively display the safety event warning information of personnel. The safety events of all personnel's behaviors / protective clothing and the events of carrying dangerous goods are displayed in real time in the form of two video banners, the static electricity monitoring events are displayed in a list, and the basic information of personnel is displayed in a paged queryable card list form and the abnormal personnel information items are marked.

[0076] The equipment online monitoring page is divided into three areas to display different data. The first-level warning safety events and second-level warning safety events of the equipment are displayed in lists in the left two areas, and the basic information and abnormal items of the equipment are displayed in a paged queryable card list form on the right.

[0077] On the environment online monitoring page, different workshops can be switched to view the monitoring information. The page mainly has a list of safety events of the environment type, abnormal reminder of the workshop's fixed number of personnel, abnormal reminder of the workshop's drug quantity, pie chart of material composition, display and abnormal reminder of temperature, humidity, combustible gas concentration, and dust data in different areas of the workshop, and two video banners display the occupied fire passage and irregular material placement.

[0078] The environment online monitoring page is divided into upper and lower areas to display the material information of Workshop 1 and Workshop 2, including material composition, material stock, incoming and outgoing situations, and warning information of material types.

[0079] As Figure 3 shown, the comprehensive online monitoring page is divided into upper and lower areas to display the material information of Workshop 1 and Workshop 2, including the fixed number of personnel, drug quantity equivalent, temperature, humidity, combustible gas, and dust parameter lists in each area, safety online monitoring information, etc.

[0080] ② Safety risk warning module.

[0081] By initiating the identification and monitoring of risk factors, the system will continuously monitor according to the configuration. When there are abnormalities, it will automatically generate safety incidents and achieve hierarchical early warnings for potential safety hazards. It is possible to query the detailed information of safety incidents by classifying them according to personnel, equipment, materials, and the environment, mainly including safety incident ID, occurrence time (year, month, day, hour, minute, second), content of the safety incident, safety incident level, risk factor ID, risk factor object, details, videos / images, etc. After the system generates a safety incident, corresponding warning prompts will be generated according to the configuration, and it supports linking with audible and visual alarms to remind of potential hazards. In the list of safety incidents retrieved, the warning can be lifted by clicking "Lift Warning", and the handling opinion can be filled in the pop-up window to lift the safety incident alarm.

[0082] ③ Safety incident handling module.

[0083] Implement the handling of safety warning and alarm incidents, including personnel handling list library, equipment lock list library, handling rule library, etc. The personnel handling list library includes shift blacklist, workshop blacklist, enhanced training list, etc. In the equipment lock list library, when the equipment enters the equipment lock list, an alarm will be generated during equipment operation.

[0084] The handling rule library can set the handling rules for various safety incidents, which are set according to the safety incident level. When a safety incident of the corresponding safety incident level occurs, the system will generate corresponding warning reports according to the warning methods set by the user. When no warning method is set, the system will not give warning prompts. The warning methods support system bell warning, pop-up window warning, audible and visual alarm, etc.

[0085] ④ Safety statistics and analysis module.

[0086] Implement the report statistics and analysis of safety incidents. Through generating various safety reports, achieve personnel, equipment, materials, environment, and comprehensive safety statistics and analysis. Provide various forms of daily reports, weekly reports, monthly reports, quarterly reports (which can be specifically counted for each equipment, workshop, personnel, etc.), support multiple ways of statistics and analysis of data such as pie charts, bar charts, line charts, and statistical tables, and can be output in formats such as word, excel, pdf, etc.

[0087] (4) Safety knowledge training module.

[0088] It mainly includes sub-modules such as safety knowledge management, training statistics analysis, safety training management, and my training. The safety knowledge management sub-module enables the import or entry of safety management systems, emergency response management, safety accident cases and other knowledge, and realizes the management of safety knowledge, including deletion, modification, viewing, retrieval, etc. The training statistics analysis sub-module displays the training statistics analysis in various forms such as charts. The safety training management sub-module mainly includes training plan management and historical training management. The training plan management can see all current training plans, and the completed training plans are managed in historical training. The my training sub-module mainly includes the training I participated in and the training I initiated, and can only see the training related to the current user.

[0089] (5) Secure data flow.

[0090] The flow of security data is as follows Figure 4 As shown. Data sources include control systems (PLC, DCS, SCADA, etc.), sensors (temperature and humidity sensors, dust sensors, combustible gas sensors, vibration sensors, etc.), MES systems, etc.; risk analysis is performed through system periodic detection and analysis, and algorithm model recognition, and early warning (alarm) information for personnel, equipment, materials, and environment is automatically generated; security incidents are handled to form disposal data. Finally, the security data in the security database can be statistically analyzed to generate a security analysis report.

[0091] (6) System installation and deployment.

[0092] like Figure 5 As shown in the figure, the system integrates the control system, explosion-proof terminal, barcode scanner, camera and sensor of the workshop site, stores multi-source security data in the data server, and the application server provides an environment for the deployment and operation of the system. The security situation is displayed through the visual display screen in the control room. The security monitoring client can view the security online monitoring and analysis situation, and the sound and light alarm device can be linked to remind relevant personnel in time when an abnormality occurs. Security events can be tracked and processed on the event handling client.

[0093] In summary, the online safety risk management and control system for chemical workshops provided in the embodiment of the present application realizes the integrated collection of multi-source and multi-dimensional safety data, establishes a safety database to realize the centralized management of safety data; applies safety algorithm models to conduct real-time monitoring and analysis of safety risks, reducing dependence on manual work; triggers hierarchical and classified warnings / alarms in real time when an abnormality occurs, and can handle safety incidents according to the handling rule library, thereby improving the efficiency of safety management and control.

[0094] It should be noted that in this text, 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 actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the said element.

[0095] From the description of the above embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of this application, in essence or the part that makes a contribution to the prior art, can be embodied in the form of a software product, which can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0096] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the system or system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The systems and system embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0097] The above are only the preferred embodiments of the present invention, and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. An online control system for safety risks in a chemical workshop, characterized in that, Including: A data acquisition module, which is used to collect safety data, and the safety data includes personnel data, equipment data, material data and environmental data; A risk factor identification module, which is used to realize the configuration identification and management of risk factors; A risk analysis module, which is used to realize the integrated configuration of algorithm models, and realize personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis and comprehensive risk analysis; A safety online monitoring module, which is used to conduct real-time visual monitoring of the safety situation; A safety risk warning module, which is used to realize the hierarchical warning and alarm of safety hazards, and link the sound and light alarm device to remind of potential hazards; A safety event handling module, which is used to realize the handling and management of safety warning and alarm events; A safety statistical analysis module, which is used to realize the report statistical analysis of safety events; A safety knowledge training module, which is used to realize safety knowledge management, training statistical analysis, safety training management, and my training management.

2. The online control system for chemical workshop safety risks according to claim 1, wherein, The driver program kernel of the data acquisition module is designed using object-oriented thinking, and the driver program is released in the form of DLL to realize the modularization of the program.

3. The online control system for safety risks in a chemical workshop according to claim 1, characterized in that The configuration identification of the risk factors includes the configuration identification of personnel risk factors, equipment factors, material factors and environmental factors; the management of the risk factors includes enabling, disabling, modifying, and deleting operations. After disabling, the system stops identifying the risk factor.

4. The online control system for safety risks in a chemical workshop according to claim 1, wherein The risk analysis module combines threshold analysis and algorithm models, and adopts different analysis methods according to different risk factors. The analysis methods include personnel risk analysis, equipment risk analysis, material risk analysis, environmental risk analysis and comprehensive risk analysis.

5. The online control system for safety risks in a chemical workshop according to claim 4, characterized in that, The personnel risk analysis includes the analysis and identification of human unsafe factors through feature extraction and behavior recognition; the equipment risk analysis includes the configuration of equipment health assessment models and performance prediction models to evaluate whether the current working conditions of the equipment are normal and predict the health status of the equipment; the material risk analysis includes the configuration of material risk factor analysis and the configuration of access to various material-related data sources; the environmental risk analysis includes the configuration of video recognition algorithms, the risk analysis of fire passages and material placement positions, the configuration of access to various environment-related data sources, and the customization of safety thresholds; the comprehensive risk analysis includes the comprehensive evaluation of personnel, equipment, materials and environment, and the calculation is carried out by weighted summation.

6. The online control system for safety risks in a chemical workshop according to claim 1, wherein The safety online monitoring module includes a personnel online monitoring page, an equipment online monitoring page, an environmental online monitoring page, a material online monitoring page and a comprehensive online monitoring page.

7. The online control system for chemical workshop safety risks according to claim 1, characterized in that The safety risk warning module starts the risk factor identification and monitoring, continuously monitors according to the configuration, generates a safety event when an abnormality is determined, and realizes the hierarchical warning of safety hazards.

8. The online control system for safety risks in a chemical workshop according to claim 1, characterized in that, The security incident handling module includes a personnel handling list library, a device locking list library, and a handling rule library; the personnel handling list library includes a shift blacklist, a workshop blacklist, and a strengthened training list; the device locking list library is used to generate an alarm when the device is running after entering the device locking list; the handling rule library is used to set the handling rules for various security incidents, and is set according to the security incident level.

9. The online control system for safety risks in a chemical workshop according to claim 1, wherein, The security statistical analysis module realizes the statistical analysis of personnel, equipment, materials, environment, and comprehensive security through generating security reports, provides daily reports, weekly reports, monthly reports, and quarterly reports, and supports the statistical analysis of data in the forms of pie charts, bar charts, line charts, and statistical tables.

10. The online control system for chemical workshop safety risks according to claim 1, wherein, The security knowledge management module is used to realize the import or entry of knowledge such as security management systems, emergency handling management, and safety accident cases, and realize the management of security knowledge; the training statistical analysis is used to display the training statistical analysis situation in the form of charts; the security training management includes training plan management and historical training management, and the training plan management is used to display all current training plans; the sub-management of my training includes the training I participated in and the training I initiated.

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