Industrial factory environment risk management and control system

Abstract

The invention relates to an industrial area risk management and control technology, in particular to an industrial plant area environment risk management and control system, which comprises the following steps: firstly, carrying out statistical analysis on accident points of each area in a plant area, then evaluating the risk level of each accident point, and then analyzing the overall area risk index of the area according to each accident point; a corresponding accident monitoring terminal is arranged at each accident point to carry out real-time risk factor monitoring on each accident point, real-time monitoring of risks of each area in a factory area is realized, abnormity is found in time and early warning is carried out, accident information is displayed through an alarm display module, and a corresponding maintenance route is planned. And the safety management efficiency of the factory area is improved while the fault occurrence rate of the factory area is reduced.

Description

Technical Field

[0001] The present invention relates to industrial area risk management and control technology, and in particular to an industrial plant environmental risk management and control system. Background Art

[0002] With the increasing scale of industrial plants and the complexity of production processes, traditional safety monitoring methods can no longer meet the needs of modern industry for high efficiency and strict safety supervision. In this context, technological progress has brought new possibilities for industrial safety management. First, the widespread application of Internet of Things technology enables various sensors and monitoring equipment to collect key data in real time, providing a data basis for risk management. Secondly, the rise of big data technology makes the storage, processing and analysis of massive data efficient, which helps to mine potential risk patterns from historical data.

[0003] However, technological progress has also brought new challenges. Although the Internet of Things and big data technologies provide us with rich data resources, it is still a difficult problem to extract valuable information from them and convert them into effective risk warning signals. The assessment of accident risks in existing technologies often only judges the hazards caused by a single accident, but when an accident occurs in the same area, multiple faults often occur at the same time. The existing safety supervision system often lacks flexibility and adaptability, and it is difficult to cope with complex industrial environments and a large number of emergencies. It is impossible to comprehensively and accurately assess the regional accident risks by integrating these data resources. This makes it difficult for maintenance personnel to quickly plan reasonable routes according to the severity of regional faults, which greatly increases the difficulty of maintenance personnel's work. Summary of the invention

[0004] The technical problem solved by the present invention is to provide an industrial plant environmental risk management system to solve the problem that when multiple faults occur in the same area of ​​an existing plant, the existing safety supervision system is difficult to cope with the complex industrial environment and a large number of emergencies, and it is impossible to integrate these data resources to conduct a comprehensive and accurate assessment of regional accident risks, making it difficult for maintenance personnel to quickly and reasonably plan routes according to the severity of regional faults.

[0005] The basic solution provided by the present invention is: an industrial plant environmental risk management and control system, including a server and a plurality of accident monitoring terminals, wherein the server includes a risk statistics module, a risk index evaluation module, an alarm display module and a route planning module; the regional risk statistics module includes an accident point statistics module and an accident point analysis module; the accident point statistics module is used to analyze the accident points existing in the target area according to historical accident records, and set corresponding accident monitoring terminals according to the locations of the accident points for status monitoring; the accident point analysis module is used to evaluate the risk level of each accident point in the target area, and the risk levels include extremely high risk, high risk, low risk and no risk; the risk index evaluation module is used to evaluate the regional risk index according to the number of accident points in the target area and their corresponding risk levels; when the accident monitoring terminal detects that a fault occurs at the target accident point, the alarm display module displays the accident information according to the risk level of the accident point; the route planning module is used to calculate the regional priority according to the regional risk index of the area where the accident point is located and plan the maintenance route according to the regional priority.

[0006] Furthermore, the accident monitoring terminal includes a data acquisition module, an edge computing module, an early warning module and a communication module;

[0007] The data acquisition module includes a video monitoring module and a sensor module; the video monitoring module is used to collect real-time monitoring images; the sensor module includes a temperature and humidity sensor, a smoke sensor and a flame detector, which are used to collect temperature and humidity data, smoke concentration data and flame detection data respectively;

[0008] The edge computing module is used to pre-process the collected data and analyze whether an accident has occurred at the target fault point through a pre-trained algorithm model;

[0009] The early warning module is used to send accident information to the server through the communication module when a fault occurs at the target fault point. After receiving the accident information, the alarm display module displays the accident information according to the risk level of the accident point.

[0010] Furthermore, the accident point statistics module includes an accident data integration module and an accident point identification module; the accident data integration module is used to collect historical accident records and perform data cleaning to ensure the accuracy and completeness of the data;

[0011] The accident point identification module includes a spatial analysis module and a temporal analysis module; the spatial analysis module is used to locate the accident site based on GIS technology to form an accident point distribution map; the temporal analysis module is used to analyze the time distribution of failures at each accident point, identify the frequency of failures within a specific time period and record them.

[0012] Furthermore, the accident point analysis module includes an accident frequency statistics module, a risk level assessment module and an associated accident analysis module; the accident frequency statistics module is used to perform statistics based on the frequency of failures at each accident point; the associated accident analysis module is used to associate accident points of failures occurring in the same time period to form associated accident points; the risk level assessment module is used to perform risk level assessment based on the impact of the accident on personnel, equipment and the environment. When there are associated accident points, an overall risk level assessment is performed on the impact of multiple associated accident points on personnel, equipment and the environment after the accident.

[0013] Furthermore, the risk index evaluation module is used to evaluate the regional risk index P according to the number of accident points in the target area and their corresponding risk levels:

[0014]

[0015] Where n is the number of accident points in the target area, S i is the risk level of the i-th accident point, is the matching factor corresponding to the risk level of the i-th accident point.

[0016] Furthermore, the alarm display module includes a fault information integration module and an information display module; the fault information integration module is used to integrate the fault information in the same area; the information display module is used to display the integrated fault information. Integrating and displaying multiple fault points in the same area can improve the speed at which staff receive and process fault information.

[0017] Furthermore, it also includes a hidden danger warning module, which is used to send the probability of related accident points also failing after the target accident point fails to the fault maintenance staff after a failure occurs at the accident point, so that the staff can inspect and handle the hidden danger accident in time.

[0018] The principles and advantages of the present invention are as follows: the present invention first performs statistical analysis on the accident points in various areas within the factory, then evaluates the risk level of each accident point, and then analyzes the overall regional risk index of the area based on each accident point, and sets a corresponding accident monitoring terminal at each accident point to perform real-time risk factor monitoring of each accident point, thereby realizing real-time monitoring of risks in various areas within the factory, thereby timely discovering anomalies and issuing warnings, displaying accident information through an alarm display module and planning corresponding maintenance routes, while reducing the occurrence rate of factory failures and improving the safety management efficiency of the factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a logic block diagram of an industrial plant environmental risk management and control system embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is further described in detail through specific implementation methods:

[0021] The specific implementation process is as follows:

[0022] Embodiment 1

[0023] Embodiment 1 is basically as shown in the attached Figure 1 As shown, an industrial plant environmental risk management and control system includes a server and several accident monitoring terminals. After the server analyzes the accident points in various areas within the plant, the accident points are monitored in real time through the accident monitoring terminals. After a failure occurs at the accident point, the fault information is displayed with an alarm and path planning is performed based on the risk level of the accident point and the regional risk index of the area where the accident point is located. This not only realizes real-time monitoring of risk factors in the plant, but also reduces the occurrence rate of failures in the plant and improves the safety management efficiency of the plant.

[0024] Specifically, the accident monitoring terminal includes a data acquisition module, an edge computing module, an early warning module, and a communication module. The data acquisition module includes a video monitoring module and a sensor module; the video monitoring module uses a high-definition camera to collect real-time monitoring images; the sensor module includes a temperature and humidity sensor, a smoke sensor, and a flame detector, which are used to monitor the temperature and humidity data, smoke concentration data, and flame detection data in the environment, respectively, to identify potential dangers.

[0025] The edge computing module is used to pre-process the collected data and analyze whether an accident has occurred at the target fault point through a pre-trained algorithm model. Through edge computing technology, the data analysis tasks are distributed on edge nodes close to the data source, realizing real-time analysis and processing of the collected data and reducing data transmission delays.

[0026] The early warning module is used to send accident information to the server through the communication module when a fault occurs at the target fault point. The fault judgment in this embodiment is made in terms of sensor data through preset temperature and humidity thresholds, smoke concentration thresholds and flame detection results, and in terms of video monitoring, it is made based on a fault analysis model. The fault analysis model is trained through video data of each accident point in the historical accident data when a fault occurs. After receiving the accident information, the alarm display module displays the accident information according to the risk level of the accident point.

[0027] The server includes a risk statistics module, a risk index assessment module, an alarm display module, and a route planning module. Among them, the regional risk statistics module includes an accident point statistics module and an accident point analysis module. The accident point statistics module includes an accident data integration module and an accident point identification module; the accident data integration module is used to collect historical accident records and perform data cleaning to ensure the accuracy and completeness of the data. This embodiment mainly collects historical accident records from multiple channels such as the enterprise internal management system, accident reports, employee feedback, maintenance records, etc.

[0028] The accident point identification module includes a spatial analysis module and a temporal analysis module; the spatial analysis module is used to locate the accident site based on GIS technology to form an accident point distribution map; the temporal analysis module is used to analyze the time distribution of failures at each accident point, identify the frequency of failures within a specific time period and record them.

[0029] The accident point analysis module includes an accident frequency statistics module, a risk level assessment module and an associated accident analysis module; the accident frequency statistics module is used to count the frequency of failures at each accident point; the associated accident analysis module is used to associate the accident points of failures that occurred in the same time period to form associated accident points; the risk level assessment module is used to assess the risk level based on the impact of the accident on personnel, equipment and the environment. When there are associated accident points, the overall risk level assessment is performed on the impact of accidents at multiple associated accident points on personnel, equipment and the environment. This embodiment mainly assesses the risk level and the overall risk level through the risk matrix method, and divides the risk level into four levels: extremely high risk, high risk, low risk and no risk.

[0030] In addition, it also includes a hidden danger warning module, which is used to send the probability of related accident points also failing after the target accident point fails to the fault maintenance staff after a failure occurs at the accident point, so that the staff can inspect and handle the hidden danger accidents in time.

[0031] The risk index assessment module is used to assess the regional risk index P according to the number of accident points in the target area and their corresponding risk levels:

[0032]

[0033] Where n is the number of accident points in the target area, S i is the risk level of the i-th accident point, is the matching factor corresponding to the risk level of the i-th accident point.

[0034] The alarm display module includes a fault information integration module and an information display module; the fault information integration module is used to integrate the fault information in the same area; the information display module is used to display the integrated fault information. Integrating and displaying multiple fault points in the same area can improve the speed at which staff can receive and process fault information. The route planning module is used to calculate the regional priority based on the regional risk index of the area where the accident point is located and plan the maintenance route based on the regional priority. After a fault occurs at the accident point, the fault information is displayed and the route is planned based on the risk level of the accident point and the regional risk index of the area where the accident point is located. This not only realizes real-time monitoring of risk factors in the plant area, but also reduces the occurrence rate of plant failures while improving the safety management efficiency of the plant area.

[0035] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An industrial plant environmental risk management and control system, including a server and a plurality of accident monitoring terminals, characterized in that: The server includes a risk statistics module, a risk index assessment module, an alarm display module and a route planning module; the regional risk statistics module includes an accident point statistics module and an accident point analysis module; The accident point statistics module is used to analyze the accident points in the target area based on historical accident records, and to set corresponding accident monitoring terminals according to the locations of the accident points for status monitoring; The accident point analysis module is used to evaluate the risk level of each accident point in the target area. The risk levels include extremely high risk, high risk, low risk and no risk. The risk index assessment module is used to assess the regional risk index based on the number of accident points in the target area and their corresponding risk levels; When the accident monitoring terminal detects a fault at the target accident point, the alarm display module displays the accident information according to the risk level of the accident point; The route planning module is used to calculate the regional priority according to the regional risk index of the area where the accident point is located and plan the maintenance route according to the regional priority.

2. The industrial plant environmental risk management and control system according to claim 1 is characterized by: The accident monitoring terminal includes a data acquisition module, an edge computing module, an early warning module and a communication module; The data acquisition module includes a video monitoring module and a sensor module; the video monitoring module is used to collect real-time monitoring images; the sensor module includes a temperature and humidity sensor, a smoke sensor and a flame detector, which are used to collect temperature and humidity data, smoke concentration data and flame detection data respectively; The edge computing module is used to pre-process the collected data and analyze whether an accident has occurred at the target fault point through a pre-trained algorithm model; The early warning module is used to send accident information to the server through the communication module when a fault occurs at the target fault point. After receiving the accident information, the alarm display module displays the accident information according to the risk level of the accident point.

3. The industrial plant environmental risk management and control system according to claim 2 is characterized by: The accident point statistics module includes an accident data integration module and an accident point identification module; the accident data integration module is used to collect historical accident records and perform data cleaning to ensure the accuracy and completeness of the data; The accident point identification module includes a spatial analysis module and a temporal analysis module; the spatial analysis module is used to locate the accident site based on GIS technology to form an accident point distribution map; the temporal analysis module is used to analyze the time distribution of failures at each accident point, identify the frequency of failures within a specific time period and record them.

4. The industrial plant environmental risk management and control system according to claim 3 is characterized by: The accident point analysis module includes an accident frequency statistics module, a risk level assessment module and an associated accident analysis module; the accident frequency statistics module is used to count the frequency of failures at each accident point; the associated accident analysis module is used to associate the accident points of failures occurring in the same time period to form associated accident points; The risk level assessment module is used to assess the risk level based on the impact of the accident on personnel, equipment and the environment. When there are related accident points, the overall risk level assessment is conducted on the impact of accidents on personnel, equipment and the environment at multiple related accident points.

5. The industrial plant environmental risk management and control system according to claim 4 is characterized by: The risk index evaluation module is used to evaluate the regional risk index P according to the number of accident points in the target area and their corresponding risk levels: Where n is the number of accident points in the target area, S i is the risk level of the i-th accident point, is the matching factor corresponding to the risk level of the i-th accident point.

6. The industrial plant environmental risk management and control system according to claim 5 is characterized by: The alarm display module includes a fault information integration module and an information display module; The fault information integration module is used to integrate the fault information in the same area; The information display module is used to display the integrated fault information. Integrating and displaying multiple fault points in the same area can improve the speed at which staff members receive and process fault information.

7. An industrial plant environmental risk management and control system according to claim 6, characterized in that: It also includes a hidden danger warning module, which is used to send the probability of related accident points also failing after the target accident point fails to the fault maintenance staff after a failure occurs at the accident point, so that the staff can inspect and handle the hidden danger accidents in time.

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