Chemical safety production patrol control system and method

Abstract

The invention discloses a chemical safety production patrol control system and method, and belongs to the technical field of chemical safety production patrol control, and the system comprises a data collection module, a data analysis module, an early warning module and a visual display module, the data collection module is responsible for collection and storage, and the data analysis module is responsible for carrying out early warning on the basis of data provided by the data collection module. A behavior deviation coefficient P, an abnormal behavior risk coefficient XW and an abnormal early warning coefficient A are sequentially calculated and output, and the early warning module is responsible for early warning of the current abnormal early warning coefficient A and the linear graph drawn by the visual display module. Therefore, the occurrence probability of the abnormal behaviors is reduced, meanwhile, the reduction of the abnormal behaviors can influence the early warning triggering of the abnormal behaviors, and the continuously improved process is beneficial to improving the safety and stability of chemical production and realizing long-term management of safe production.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical safety production patrol and control, and in particular to a chemical safety production patrol and control system and method. Background Art

[0002] In the field of chemical production, safety production is of crucial importance. The existing chemical safety production patrol and control systems mainly focus on the monitoring of chemical environmental parameters, and judge whether there are potential safety hazards in the environment by setting fixed thresholds. However, with the continuous improvement of the complexity and refinement of chemical production, the impact of personnel operation behaviors on safety production has become increasingly significant. Irregular operations of personnel, including actions with amplitudes and speeds not meeting the standards, can also trigger a series of safety problems. However, the existing patrol and control systems often neglect the monitoring and analysis of abnormal behaviors of personnel, resulting in the inability to comprehensively and accurately evaluate the safety risks in the chemical production process.

[0003] At the same time, the existing early warning mechanisms are usually based on a single environmental parameter threshold, lacking dynamic assessment and adjustment of risks. In actual production, the degrees of safety risks are different under different operation scenarios and environmental conditions. Fixed early warning thresholds are difficult to adapt to the complex and changeable production situations, and false alarms and missed alarms are likely to occur.

[0004] In addition, the existing systems lack an intuitive visual display method, making it difficult to quickly and accurately grasp the overall situation of safety production and the trend of risk changes. Summary of the Invention

[0005] The technical problem to be solved by the present invention is that in the prior art, there are disadvantages such as neglecting abnormal behaviors of personnel, lacking dynamic risk assessment, and low visualization degree. Therefore, we propose a chemical safety production patrol and control system and method.

[0006] The technical solution mainly is: A chemical safety production patrol and control system includes a data acquisition module, a data analysis module, an early warning module, and a visual display module, and is characterized in that:

[0007] The data acquisition module: is used to collect and store the actual action features, standard action amplitude features, operation image danger features, and environmental risk features within the patrol and control area;

[0008] The data analysis module: is used to extract the historical average risk features stored therein;

[0009] Receive the actual action features, the standard action amplitude features, the operation image danger features, and the environmental risk features transmitted by the data acquisition module;

[0010] Obtain behavior deviation features according to the actual action features and the standard action amplitude features;

[0011] Obtain abnormal behavior risk characteristics based on behavior deviation characteristics, the operation image risk characteristics, and the environmental risk characteristics;

[0012] Obtain an abnormal warning coefficient based on the abnormal behavior risk characteristics and the historical average risk characteristics;

[0013] The warning module and the visualization display module: are used to receive the abnormal warning coefficient;

[0014] The visualization display module: is used to draw a line graph of the abnormal warning coefficient;

[0015] The warning module: is used to give a warning for the line graph drawn by the visualization display module;

[0016] Among them, the data analysis module includes a behavior deviation unit, an abnormal behavior risk unit, and an abnormal warning unit.

[0017] Preferably, the devices used by the data acquisition module include motion capture devices, gas sensors, temperature sensors, pressure sensors, and data transmission devices;

[0018] The devices used by the data analysis module include servers;

[0019] The devices used by the warning module include display devices;

[0020] The devices used by the visualization display module include alarm devices.

[0021] Preferably, the actual motion characteristics include an actual motion amplitude value and an actual motion speed value;

[0022] The standard motion amplitude characteristics include a standard motion amplitude value and a standard motion speed value;

[0023] Obtain motion amplitude difference characteristics based on the difference between the actual motion amplitude value and the standard motion amplitude value;

[0024] Obtain motion speed difference characteristics based on the difference between the actual motion speed value and the standard motion speed value;

[0025] Obtain the behavior deviation characteristics based on the motion amplitude difference characteristics and the motion speed difference characteristics.

[0026] Preferably, the operation image risk characteristics include low risk, medium risk, and high risk, and the operations specifically shown in the image are as follows:

[0027] Low risk: Valve opening and closing operations, material handling, equipment surface cleaning, non-high-pressure pipeline connection and disassembly, use and maintenance of small tools, instrument inspection and calibration, low-voltage wiring;

[0028] Medium risk: Operations involving high temperature and high pressure, handling of minor leaks of flammable and explosive gases;

[0029] High risk: Operations involving highly toxic chemicals, storage and transportation operations of large-scale flammable and explosive substances, operations involving radioactive substances, experimental and production operations involving extreme conditions;

[0030] The environmental risk characteristics are intelligently set according to the environmental low risk, environmental medium risk, and environmental high risk shown by the environmental parameter data in the chemical production environment within the patrol and control area. The specific settings are as follows:

[0031] When the environmental risk characteristics are at environmental low risk, the value range is 0.1 - 0.3;

[0032] When the environmental risk characteristics are at environmental medium risk, the value range is 0.4 - 0.6;

[0033] When the environmental risk characteristics are at environmental high risk, the value range is 0.7 - 1;

[0034] Among them, the environmental parameter data includes temperature, humidity, and gas concentration.

[0035] Preferably, if the abnormal warning coefficient is greater than 1, it indicates a high risk within the patrol and control area, and when an alarm is triggered; if the abnormal warning coefficient is less than 1, it indicates a low risk within the patrol and control area, and continuous patrol is carried out.

[0036] At the first warning of each chemical production operation, the initial historical average risk characteristics are set to 1.

[0037] Preferably, the visualization display module displays the abnormal warning coefficient in the form of a line graph in real time to intuitively reflect the change trend of the risk, specifically as follows:

[0038] If the abnormal warning coefficient shows a gentle upward trend on the line graph, it indicates that the risk within the patrol and control area is continuously increasing;

[0039] If the abnormal warning coefficient shows a gentle downward trend on the line graph, it indicates that the risk within the patrol and control area is continuously decreasing;

[0040] If the abnormal warning coefficient shows a curved fluctuation trend on the line graph, it indicates that there are unstable factors affecting the risk within the patrol and control area.

[0041] Preferably, the standard action amplitude value and the standard action speed value are the initial standard values for each chemical production operation;

[0042] After entering the chemical production operation, the actual action amplitude value and the actual action speed value when the abnormal warning coefficient is less than 1 are respectively averaged, and the standard action amplitude value and the standard action speed value are regularly replaced;

[0043] Among them, the period is set manually according to the cycle of each chemical production operation.

[0044] The technical solution is mainly: a chemical safety production patrol and control method, and the specific method steps include:

[0045] Step 1: Use the data acquisition module to collect and store the actual action characteristics, standard action amplitude characteristics, operation image danger characteristics and environmental risk characteristics in the patrol and control area;

[0046] Step 2: Based on the collection and storage of the data acquisition module, and use the data analysis module to sequentially obtain and output:

[0047] The behavior deviation characteristics;

[0048] The abnormal behavior risk characteristics;

[0049] The abnormal warning coefficient;

[0050] Step 3: Use the visual display module to draw a line graph of the abnormal warning coefficient;

[0051] Step 4: Use the warning module to give a warning about the current abnormal warning coefficient and the line graph drawn by the visual display module.

[0052] The technical effects and advantages of the present invention:

[0053] In the present invention, through the behavior deviation unit, the system can accurately calculate the deviation degree of the personnel's operation behavior from the standard operation in two dimensions of action amplitude and speed, which enables the system to not only pay attention to the chemical environment, but also conduct real-time monitoring and quantitative evaluation of the abnormal behavior of personnel.

[0054] The abnormal behavior risk unit comprehensively considers the behavior deviation characteristics, operation image danger characteristics and environmental risk characteristics, and can more accurately evaluate the risk degree of abnormal behavior.

[0055] The abnormal warning unit dynamically adjusts the abnormal warning coefficient according to the abnormal behavior risk characteristics and the historical average risk characteristics, so as to achieve the purpose of giving an alarm in time during the patrol and control.

[0056] In the present invention, the anomaly warning unit introduces historical average risk features, incorporates historical data into the current risk assessment, and through the analysis and statistics of historical anomaly data, the system can learn and summarize the risk laws under different operation scenarios to provide reference for the current anomaly behavior judgment.

[0057] In the present invention, the system displays the anomaly warning coefficient in real time in the form of a line graph, and the line graph can intuitively reflect the changing trend of the risk, enabling the management personnel to quickly understand the overall situation of safe production and the risk dynamics by observing the line graph. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a schematic diagram of the overall structure of the chemical industrial safety production patrol and control system;

[0059] Figure 2 is a flowchart of the method of the chemical industrial safety production patrol and control method;

[0060] Figure 3 is a linear schematic diagram showing the curve fluctuation trend of the anomaly warning coefficient A in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] The present invention will now be further described in detail with reference to the accompanying drawings and preferred embodiments.

[0062] Referring to Figures 1 to 3 as shown, the present invention provides a technical solution: a chemical industrial safety production patrol and control system, including a data acquisition module, a data analysis module, a warning module, and a visualization display module, characterized in that:

[0063] The data acquisition module: is used to collect and store the actual action features, standard action amplitude features, operation image danger features, and environmental risk features within the patrol and control area;

[0064] The data analysis module: is used to extract the historical average risk features stored therein;

[0065] Receives the actual action features, the standard action amplitude features, the operation image danger features, and the environmental risk features transmitted by the data acquisition module;

[0066] Obtains behavior deviation features according to the actual action features and the standard action amplitude features;

[0067] Obtains anomaly behavior risk features according to the behavior deviation features, the operation image danger features, and the environmental risk features;

[0068] Obtains an anomaly warning coefficient according to the anomaly behavior risk features and the historical average risk features;

[0069] The early warning module and the visualization display module: are used to receive the abnormal early warning coefficient;

[0070] The visualization display module: is used to draw a line graph of the abnormal early warning coefficient;

[0071] The early warning module: is used to give an early warning for the line graph drawn by the visualization display module;

[0072] Among them, the data analysis module includes a behavior deviation unit, an abnormal behavior risk unit, and an abnormal early warning unit;

[0073] The devices used by the data acquisition module include motion capture devices, gas sensors, temperature sensors, pressure sensors, and data transmission devices;

[0074] The devices used by the data analysis module include a server;

[0075] The devices used by the early warning module include display devices;

[0076] The devices used by the visualization display module include alarm devices.

[0077] Refer to Figures 1 to 3 As shown, the present invention provides another technical solution: a chemical safety production patrol and control method, and the specific method steps include:

[0078] Step 1: Use the data acquisition module to collect and store the actual action characteristics, standard action amplitude characteristics, operation image danger characteristics, and environmental risk characteristics in the patrol and control area;

[0079] Step 2: Based on the collection and storage of the data acquisition module, and use the data analysis module to sequentially obtain and output:

[0080] The behavior deviation characteristics;

[0081] The abnormal behavior risk characteristics;

[0082] The abnormal early warning coefficient;

[0083] Step 4: Use the visualization display module to draw a line graph of the abnormal early warning coefficient;

[0084] Step 4: Use the early warning module to give an early warning for the current abnormal early warning coefficient and the line graph drawn by the visualization display module.

[0085] In this embodiment, the data acquisition module, the data analysis module, the early warning module, the visualization display module, and the units and devices cooperate to optimize the chemical safety production patrol and control mode.

[0086] Among them, the behavior deviation unit, abnormal behavior risk unit, and abnormal warning unit accurately quantify the operation risks of personnel, comprehensively evaluate abnormal behaviors, and dynamically adjust the warning thresholds. Moreover, the modules have clear divisions of labor, realizing data collection, analysis, warning, and display. The units ensure the efficient operation of each link, and the equipment ensures the accurate acquisition of data and the stable operation of the system, thereby comprehensively enhancing the comprehensiveness of risk monitoring, the timeliness and accuracy of warnings, optimizing safety management decisions, reducing accident risks, and improving production safety and efficiency.

[0087] Refer to Figures 1 to 2 As shown, in this implementation plan: The actual motion characteristics include the actual motion amplitude value and the actual motion speed value;

[0088] The standard motion amplitude characteristics include the standard motion amplitude value and the standard motion speed value;

[0089] According to the difference between the actual motion amplitude value and the standard motion amplitude value, obtain the motion amplitude difference characteristics;

[0090] According to the difference between the actual motion speed value and the standard motion speed value, obtain the motion speed difference characteristics;

[0091] According to the motion amplitude difference characteristics and the motion speed difference characteristics, obtain the behavior deviation characteristics.

[0092] The calculation formula of the behavior deviation unit is as follows:

[0093] ;

[0094] Among them:

[0095] P is the behavior deviation coefficient;

[0096] SF is the actual motion amplitude value, and SF reflects the average amplitude reached by the personnel's actual actions in the patrol control area during chemical production operations;

[0097] BF is the standard motion amplitude value, and BF reflects the standard amplitude reached by the actions made by the operation demonstrator according to the chemical production operation specifications;

[0098] SV is the actual motion speed value, and SV reflects the average speed at which the personnel in the patrol control area actually complete actions during chemical production operations;

[0099] BV is the standard motion speed value, and BV reflects the standard speed reached by the actions made by the operation demonstrator according to the chemical production operation specifications.

[0100] In this embodiment In the calculation part, the squared differences between the actual motion amplitude value SF and the standard motion amplitude value BF, and between the actual motion speed value SV and the standard motion speed value BV are calculated respectively to measure the deviation of the actual operation behavior from the standard operation behavior in terms of amplitude and speed. The differences can be directly obtained through subtraction, and these two differences are the basic data for calculating the personnel behavior deviation coefficient P later, reflecting the deviation information of the operation behavior in different dimensions. The sum of the squared deviation values in the amplitude and speed dimensions is obtained to comprehensively measure the overall deviation degree of the personnel operation behavior in these two dimensions. This comprehensive sum of squared deviations is an important intermediate result for calculating the personnel behavior deviation coefficient P, providing a basis for subsequent averaging and square root extraction.

[0101] And The calculation part performs a square root operation on the average value of the calculation part, restoring the squared result to the same order of magnitude as the original data, so that the calculated personnel behavior deviation coefficient P has practical physical significance and is consistent with the units of the original motion amplitude and motion speed, and can intuitively reflect the comprehensive deviation degree of the personnel's actual operation behavior from the standard operation behavior. It is the final calculation result of the behavior deviation unit.

[0102] By comprehensively considering the differences between the actual motion amplitude and the standard motion amplitude, and between the actual motion speed and the standard motion speed, the behavior deviation unit quantifies the deviation of the personnel operation behavior. Specifically, in the valve operation of chemical equipment, the motion amplitude and speed of the operator will affect the opening degree and sealing performance of the valve. The behavior deviation unit can accurately calculate the deviation degree between the operation and the standard, enabling the management to clearly understand whether the personnel operation is standardized.

[0103] In addition, the behavior deviation unit is applicable to various chemical production operation scenarios. Whether it is a simple valve opening and closing operation or a complex equipment debugging, the personnel behavior deviation coefficient P can be calculated through this formula. The standard motion amplitude and speed are different in different operation scenarios, but the behavior deviation unit can uniformly measure the deviation of the personnel operation from the standard, showing strong versatility.

[0104] Referring to Figures 1 to 2 as shown, in this implementation plan: the calculation formula of the abnormal behavior risk unit is as follows:

[0105] XW = P × (W + H);

[0106] Where:

[0107] XW is the abnormal behavior risk coefficient;

[0108] W is the risk level coefficient, with a value range of {1 - 10}, and W is automatically set according to the chemical production operations within the patrol and control area, that is, the degree of danger shown by the operation image data. The specific manifestations and settings of the operation image data are as follows:

[0109] When W takes values of 1 - 3 for low risk: valve opening and closing operations, material handling, equipment surface cleaning, connection and disconnection of non-high-pressure pipelines, use and maintenance of small tools, instrument inspection and calibration, low-voltage wiring;

[0110] When W takes values of 4 - 6 for medium risk: operations involving high temperature and high pressure, handling of mild leaks of flammable and explosive gases;

[0111] When W takes values of 7 - 10 for high risk: operations involving highly toxic chemicals, storage and transportation operations of large-scale flammable and explosive substances, operations involving radioactive substances, experimental and production operations involving extreme conditions;

[0112] H is the environmental risk coefficient, with a value range of {0 - 1}, and H reflects the complexity and potential risks shown by the environmental parameter data in the chemical production environment within the patrol and control area. The environmental parameter data includes temperature, humidity, and gas concentration;

[0113] When the environmental risk coefficient H is at low environmental risk, its value is 0.1 - 0.3;

[0114] When the environmental risk coefficient H is at medium environmental risk, its value is 0.4 - 0.6;

[0115] When the environmental risk coefficient H is at high environmental risk, its value is 0.7 - 1.

[0116] In the calculation part of (W + H) in this embodiment, the risk level of the operation itself and the risks brought by environmental factors are comprehensively considered to obtain a comprehensive risk index. The addition operation is used to integrate different types of risk factors because both the operation risk level and the environmental risk factor have an impact on the risk of abnormal behavior. Adding them together can obtain a more comprehensive risk measure. This comprehensive risk index is an important part of calculating the abnormal behavior risk coefficient XW and reflects the potential risks under the combined action of operations and environmental factors;

[0117] In the overall calculation part of P×(W + H), the behavior deviation coefficient P of the personnel behavior is multiplied by the comprehensive risk index to obtain the abnormal behavior risk coefficient XW. This coefficient comprehensively considers the degree of deviation of the personnel operation behavior, the risk level of the operation itself, and the environmental risk, and can more accurately evaluate the risks that abnormal behavior may bring. The multiplication operation is used to associate the personnel behavior deviation coefficient P with the comprehensive risk index because the greater the deviation of the personnel behavior, the higher the risk brought by abnormal behavior in high-risk operations and environments;

[0118] The abnormal behavior risk unit synthesizes three key factors: the personnel behavior deviation coefficient P, the operation hazard level, and the environmental risk factor. The hazard level coefficient W reflects the inherent risk of the operation itself, the environmental risk coefficient H reflects the risk status of the current operation environment, and the personnel behavior deviation coefficient P takes into account the impact of human factors on the risk. Specifically, in the chemical reaction operation involving high temperature and high pressure, even if the environmental risk coefficient H is low, but if the personnel behavior deviation coefficient P is large, the abnormal behavior risk coefficient XW will also be high, to remind attention to the standardization of personnel operations. The hazard level coefficient W and the environmental risk coefficient H will change with the production process and environmental conditions, and the personnel behavior deviation coefficient P will also vary due to different operators. Specifically, when the concentration of combustible gas in the environment increases, the environmental risk coefficient H increases, and the abnormal behavior risk coefficient XW will also increase accordingly, and the system can issue an early warning in a timely manner;

[0119] The abnormal behavior risk coefficient XW provides an important basis for formulating risk control measures. According to different risk coefficients, different measures can be taken. In addition, when the abnormal behavior risk coefficient XW is high, the operation can be immediately stopped for inspection and rectification to reduce the possibility of accidents.

[0120] Refer to Figures 1 to 3 As shown, in this implementation plan: if the abnormal warning coefficient is greater than 1, it reflects that the risk in the patrol control area is large. When the alarm is triggered, if the abnormal warning coefficient is less than 1, it reflects that the risk in the patrol control area is small, and continuous patrol control is carried out;

[0121] When each chemical production operation is initially warned, the initial historical average risk characteristic is set to 1. The calculation formula of the abnormal warning unit is as follows:

[0122] ;

[0123] Among them:

[0124] A is the abnormal warning coefficient;

[0125] XW0 is the historical abnormal average risk coefficient, and XW0 reflects the average value of the abnormal behavior risk coefficient XW calculated historically by the abnormal behavior risk unit.

[0126] In the calculation of this embodiment In the calculation, the numerator Performs a square operation on the abnormal behavior risk coefficient XW to amplify the influence of the abnormal behavior risk coefficient XW. Because in chemical safety production, the risk of abnormal behavior often has non-linear characteristics. The higher the risk, the greater its potential harm. Through the square operation, the influence of high-risk abnormal behavior can be more prominent;

[0127] And the denominator It adds the current abnormal behavior risk coefficient XW to the historical average abnormal risk coefficient XW0, comprehensively considering the current and historical risk situations. The addition operation is used to integrate risk information from different time dimensions. The historical average abnormal risk coefficient XW0 reflects the average risk level in the past period. Adding it to the current abnormal behavior risk coefficient XW can obtain a comprehensive risk reference value;

[0128] Finally, it divides the squared abnormal behavior risk coefficient XW by the comprehensive risk reference value to obtain the abnormal warning coefficient A. This coefficient is used to dynamically adjust the abnormal warning threshold of the chemical safety production patrol and control system, enabling it to make reasonable adjustments according to the deviation degree of the current abnormal behavior risk relative to the historical average level.

[0129] During the chemical production process, the risk characteristics are different in different stages and environments. The abnormal warning unit can dynamically adjust the warning threshold according to the actual situation, enabling the system to accurately give warnings in different production stages and environments. In the initial stage of production, there is less historical abnormal data. And when giving the initial warning for each chemical production operation, the initial historical average abnormal risk coefficient XW0 is set to 1. However, as production progresses, the historical average abnormal risk coefficient XW0 gradually stabilizes, and the warning ability of the system will also continuously improve;

[0130] When the abnormal warning coefficient A is greater than 1, it indicates that the risk of the current abnormal behavior is higher than the historical average level. At this time, the range of the standard action amplitude and standard action speed can be appropriately reduced, and the requirements for operation standardization can be improved. On the contrary, when the abnormal warning coefficient A is less than 1, the standard can be appropriately relaxed to improve production efficiency on the premise of ensuring safety. This cyclic influence mechanism forms a closed-loop safety production management system. By continuously adjusting the standard operation specifications according to the actual risk situation, the standards can be made more in line with the actual production needs, thereby reducing the occurrence probability of abnormal behaviors. At the same time, the reduction of abnormal behaviors will also affect the abnormal warning coefficient A, further optimizing the standard operation specifications. This continuous improvement process helps to improve the safety and stability of chemical production and achieve long-term management of safe production.

[0131] Refer to Figure 3 As shown, in this implementation plan: the visualization display module displays the abnormal warning coefficient A in the form of a line graph in real time to intuitively reflect the change trend of the risk, specifically as follows:

[0132] If the abnormal warning coefficient A shows a gentle upward trend on the line graph, it reflects that the risk in the patrol and control area is continuously rising;

[0133] If the abnormal warning coefficient A shows a gentle downward trend on the line graph, it reflects that the risk in the patrol and control area is continuously decreasing;

[0134] If the abnormal warning coefficient A shows a curve fluctuation trend on the line graph, it reflects that there are unstable factors affecting the risks within the patrol and control area.

[0135] In this embodiment, the system displays the abnormal warning coefficient A in real time in the form of a line graph. The line graph can intuitively reflect the changing trend of risks, and thus can quickly understand the overall situation of safe production and the risk dynamics by observing the line graph. Specifically, when the line graph shows that the abnormal warning coefficient A continues to rise and shows curve fluctuations, the management personnel can take timely measures for intervention, thus making up for the deficiency of the low visualization degree of the existing system, providing an intuitive and convenient tool for the management personnel, helping to make decisions in a timely manner, and improving the efficiency of safe production management.

[0136] Refer to Figures 1 to 2 As shown, in this implementation plan: the standard action amplitude value BF and the standard action speed value BV are the initial standard values for each chemical production operation. After entering the chemical production operation, the actual action amplitude value SF and the actual action speed value SV when the abnormal warning coefficient A is less than 1 are respectively averaged, and the standard action amplitude value BF and the standard action speed value BV are regularly replaced;

[0137] Among them, it is set manually at regular intervals according to the cycle of each chemical production operation.

[0138] In this embodiment, in order to ensure that the standard action amplitude value BF and the standard action speed value BV fit the actual operations of the personnel, it is set that after the actual action amplitude value SF and the actual action speed value SV when the abnormal warning coefficient A is less than 1 are respectively averaged, the standard action amplitude value BF and the standard action speed value BV are regularly replaced, and this regular replacement setting can also make the calculation and warning of the behavior deviation coefficient P, the abnormal behavior risk coefficient XW, and the abnormal warning coefficient A more accurate and in line with the actual situation.

[0139] It should be noted that any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall also be within the protection scope of the present invention.

Claims

1. A chemical industry safety production patrol and control system, including a data acquisition module, a data analysis module, an early warning module and a visual display module, is characterized in that: The data acquisition module: is used to collect and store the actual action characteristics, standard action amplitude characteristics, operation image danger characteristics and environmental risk characteristics within the patrol and control area; The data analysis module: is used to extract the historical average risk characteristics stored therein; Receive the actual action characteristics, the standard action amplitude characteristics, the operation image danger characteristics and the environmental risk characteristics transmitted by the data acquisition module; Obtain the behavior deviation characteristics according to the actual action characteristics and the standard action amplitude characteristics; Obtain the abnormal behavior risk characteristics according to the behavior deviation characteristics, the operation image danger characteristics and the environmental risk characteristics; Obtain the abnormal early warning coefficient according to the abnormal behavior risk characteristics and the historical average risk characteristics; The early warning module and the visual display module: are used to receive the abnormal early warning coefficient; The visual display module: is used to draw a line graph of the abnormal early warning coefficient; The early warning module: is used to give an early warning for the line graph drawn by the visual display module; Among them, the data analysis module includes a behavior deviation unit, an abnormal behavior risk unit and an abnormal early warning unit; The calculation formula of the behavior deviation unit is as follows: ； Where: P is the behavior deviation coefficient shown by obtaining the behavior deviation characteristics, SF is the actual action amplitude value, BF is the standard action amplitude value, and SV is the actual action speed value; The calculation formula of the abnormal behavior risk unit is as follows: XW = P×(W + H); Where: XW is the abnormal behavior risk coefficient shown by obtaining the abnormal behavior risk characteristics, and W is the danger level coefficient; The calculation formula of the abnormal early warning unit is as follows: ； Where: A is the abnormal early warning coefficient; XW0 is the historical abnormal average risk coefficient.

2. The chemical industrial safety production patrol and control system according to claim 1, wherein: The devices used by the data acquisition module include action capture devices, gas sensors, temperature sensors, pressure sensors, and data transmission devices; The devices used by the data analysis module include servers; The devices used by the early warning module include display devices; The devices used by the visual display module include alarm devices.

3. The chemical industry safety production patrol and control system according to claim 2, wherein: The actual action characteristics include the actual action amplitude value and the actual action speed value; The standard action amplitude characteristics include the standard action amplitude value and the standard action speed value; Obtain the action amplitude difference characteristics according to the difference between the actual action amplitude value and the standard action amplitude value; Obtain the action speed difference characteristics according to the difference between the actual action speed value and the standard action speed value; Obtain the behavior deviation characteristics according to the action amplitude difference characteristics and the action speed difference characteristics.

4. The chemical industrial safety production patrol and control system according to claim 3, wherein: The operation image danger characteristics include low risk, medium risk, and high risk, and the specific operations shown in the image are as follows: Low risk: valve opening and closing operations, material handling, equipment surface cleaning, connection and disconnection of non-high-pressure pipelines, use and maintenance of small tools, instrument inspection and calibration, low-voltage wiring; Medium risk: operations involving high temperature and high pressure, mild leakage treatment of flammable and explosive gases; High risks: operations involving highly toxic chemicals, storage and transportation operations involving large-scale inflammable and explosive substances, operations involving radioactive substances, experiments and production operations involving extreme conditions; The environmental risk characteristics are intelligently set according to the environmental low risks, medium risks and high risks shown by the environmental parameter data in the chemical production environment within the patrol and control area. The specific settings are as follows: When the environmental risk characteristics are at low environmental risks, the value ranges from 0.1 to 0.3; When the environmental risk characteristics are at medium environmental risks, the value ranges from 0.4 to 0.6; When the environmental risk characteristics are at high environmental risks, the value ranges from 0.7 to 1; Among them, the environmental parameter data includes temperature, humidity and gas concentration.

5. The chemical industrial safety production patrol and control system according to claim 4, characterized in that: If the abnormal warning coefficient is greater than 1, it reflects that the risk within the patrol and control area is high, and when an alarm is triggered. If the abnormal warning coefficient is less than 1, it reflects that the risk within the patrol and control area is low, and continuous patrol is carried out; When a chemical production operation is initially warned, the initial historical average risk characteristics are set to 1.

6. The chemical safety production patrol and control system according to claim 5, wherein: The visualization display module displays the abnormal warning coefficient in the form of a line graph in real time to intuitively reflect the change trend of the risk. Specifically as follows: If the abnormal warning coefficient shows a gentle upward trend on the line graph, it reflects that the risk within the patrol and control area is continuously increasing; If the abnormal warning coefficient shows a gentle downward trend on the line graph, it reflects that the risk within the patrol and control area is continuously decreasing; If the abnormal warning coefficient shows a curve fluctuation trend on the line graph, it reflects that there are unstable factors affecting the risk within the patrol and control area.

7. The chemical safety production patrol and control system according to claim 6, characterized in that: The standard action amplitude value and the standard action speed value are the initial standard values for each chemical production operation; After entering a chemical production operation, the actual action amplitude value and the actual action speed value in the case where the abnormal warning coefficient is less than 1 are respectively averaged, and the standard action amplitude value and the standard action speed value are regularly replaced; Among them, the period is manually set according to the cycle of each chemical production operation.

8. A chemical safety production patrol and control method for implementing the chemical safety production patrol and control system according to any one of claims 1-7, characterized in that, The specific method steps include: Step 1: Use the data acquisition module to collect and store the actual action characteristics, standard action amplitude characteristics, operation image danger characteristics and environmental risk characteristics within the patrol and control area; Step 2: Based on the collection and storage of the data acquisition module, and using the data analysis module, sequentially obtain and output: The behavior deviation characteristics; The abnormal behavior risk characteristics; The abnormal warning coefficient; Among them, the calculation formula for the behavior deviation characteristics is as follows: ； Where: P is the behavior deviation coefficient shown by obtaining the behavior deviation characteristics, SF is the actual action amplitude value, BF is the standard action amplitude value, and SV is the actual action speed value; The calculation formula for the abnormal behavior risk characteristics is as follows: XW = P×(W + H); Where: XW is the abnormal behavior risk coefficient shown by obtaining the abnormal behavior risk characteristics, and W is the danger level coefficient; The calculation formula for the abnormal warning coefficient is as follows: ； Where: A is the abnormal warning coefficient; XW0 is the historical abnormal average risk coefficient; Step 3: Use the visualization display module to draw a line graph of the abnormal warning coefficient; Step 4: Use the early warning module to give an early warning for the current abnormal early warning coefficient and the line graph drawn by the visualization display module.

Images