An intelligent control system for leak detection in chemical production

Abstract

The present invention discloses an intelligent control system for leak detection in chemical production, which specifically relates to the fields of intelligent manufacturing and industrial automation, including a sub-area division module, a sub-area information collection module, a sub-area leakage risk analysis module, a target area leakage risk analysis module, a production leakage risk judgment module, and an interactive feedback module. The present invention uses the sub-area division module to accurately define the monitoring range to multiple sub-areas. In each sub-area, the system collects detailed basic information, which covers equipment status, key production indicators, and environmental dynamics, thereby constructing a multi-dimensional, high-accuracy monitoring network. The present invention also focuses on the collection and analysis of environmental information. By evaluating the impact of the environment on the risk of equipment leakage and the diffusion capacity of chemicals in the environment, the system can more accurately predict and evaluate the risks and potential hazards of leakage incidents, providing strong technical support for the safety management of chemical production.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing and industrial automation, and more specifically, to an intelligent control system for leak detection in chemical production. Background Art

[0002] In chemical production, due to the complexity of various raw materials, intermediates and final products, leakage incidents occur from time to time. These leaked substances may not only cause damage to production equipment, but also pose a serious threat to the environment and human health.

[0003] The chemical production leak detection and intelligent control system integrates advanced sensor technology, Internet of Things technology, big data analysis and artificial intelligence algorithms, and can monitor the changes of various parameters in the chemical production process in real time, including temperature, pressure, flow, and concentration. Through the real-time collection and analysis of these data, the system can promptly discover and accurately locate the source of the leak, evaluate the impact of the leak on the environment and ecosystem, and take appropriate measures to regulate and repair it.

[0004] However, it still has some shortcomings in actual use. For example, the data collected by the existing technology for assessing leakage risks are mostly temperature, humidity, flow and concentration data in the production process, ignoring the influence of environmental parameters in chemical production. This makes it impossible for the system to accurately combine environmental assessments to assess the risks and hazards brought about by leakage. In addition, the existing technology lacks consideration of the safety status of the equipment itself, so it is impossible to predict the risk of possible leakage in the equipment based on the use of the equipment itself. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent control system for leak detection in chemical production, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a chemical production leak detection intelligent control system, including a sub-area division module, a sub-area information collection module, a sub-area leakage risk analysis module, a target area leakage risk analysis module, a production leakage risk judgment module and an interactive feedback module.

[0007] Preferably, the sub-area division module is used to record all chemical production equipment in the factory to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas, and mark them as 1, 2, 3...n in sequence;

[0008] The sub-area information collection module includes an equipment information collection unit and an environment information collection unit, which is used to collect data from the sub-area to obtain comprehensive parameters and output the comprehensive parameters to the sub-area leakage risk analysis module;

[0009] The sub-region leakage risk analysis module is used to import and calculate the data collected in the sub-region information collection module to obtain the sub-region production leakage risk coefficient, the sub-region environmental leakage risk impact coefficient, the sub-region equipment safety factor and the sub-region leakage risk index;

[0010] The target area leakage risk analysis module is used to import and calculate the data obtained by the sub-area leakage risk analysis module to obtain the target area leakage risk index;

[0011] The production leakage risk judgment module is used to compare the leakage risk index value of the target area with the preset value, and input the comparison result into the interactive feedback module;

[0012] The interactive feedback module is used to import the comparison results into the administrator terminal and wait for terminal information processing.

[0013] Preferably, the comprehensive parameter refers to a sub-region equipment pressure floating speed parameter, a sub-region gas concentration parameter, a sub-region liquid flow parameter, a sub-region gas temperature parameter, a sub-region liquid temperature parameter, a sub-region pipeline flow parameter, a sub-region pump current parameter, a sub-region pump speed parameter, an ambient temperature parameter, an ambient humidity parameter, an ambient wind speed parameter, a sub-region equipment maintenance times parameter, and a sub-region equipment use age parameter;

[0014] The sub-area equipment pressure floating speed parameter refers to the equipment pressure floating speed p of the i sub-area i ;

[0015] The sub-region gas concentration parameter refers to the gas concentration k in the i sub-region i ;

[0016] The sub-region liquid flow parameter refers to the liquid pipeline flow rate of the sub-region i. i ;

[0017] The sub-region gas temperature parameter refers to the gas temperature t of the i sub-region i ;

[0018] The sub-region liquid temperature parameter refers to the liquid temperature c of the sub-region i. i ;

[0019] The sub-area gas flow parameter refers to the gas pipeline flow m of the i sub-area i ;

[0020] The current parameter of the sub-region pump refers to the actual working current d of the sub-region pump i i ;

[0021] The speed parameter of the sub-region pump refers to the speed ω of the sub-region pump i i ;

[0022] The ambient temperature parameter refers to the ambient temperature T;

[0023] The ambient humidity parameter refers to the ambient humidity W;

[0024] The ambient wind speed parameter refers to the ambient wind speed V;

[0025] The sub-area equipment maintenance times parameter refers to the number of times the equipment in the i sub-area is maintained f i ;

[0026] The sub-area device usage age parameter refers to the device usage age g in the i sub-area i .

[0027] Preferably, the specific method for collecting the sub-area equipment pressure floating speed parameter is as follows:

[0028] The pressure sensor records the initial pressure P1 when the equipment pressure changes, the pressure P2 when the pressure stops changing or the direction of change changes, and records the change time t 变 , and finally get

[0029] Preferably, the specific method for collecting the speed parameters of the sub-region pumps is as follows:

[0030] Mark the rotating parts of the pump, such as the pump shaft or blades, and record t 泵 The number of times the marked point passes through a certain point in the time period is x, and we get ω is calculated by taking values ​​continuously over a period of time. i1 ,ω i2 ...ω in Finally, we get

[0031] Preferably, the mathematical model of the sub-area production leakage risk coefficient is as follows:

[0032] Where PL refers to the production leakage risk factor of the sub-area, p i Refers to the floating speed of equipment pressure in sub-area i, k i refers to the gas concentration in the i sub-region, l i Refers to the liquid pipeline flow rate in the i-th sub-area, t i refers to the gas temperature in the i-th sub-region, c i refers to the liquid temperature in sub-region i, m i Refers to the gas pipeline flow rate in the i sub-area, d i Refers to the actual working current of the pump in the i-th sub-region, ω i Refers to the speed of the pump in the i-zone, d. ω refers to constants.

[0033] Preferably, the mathematical model of the sub-region environmental leakage risk impact coefficient is as follows:

[0034] Among them, WL refers to the sub-area environmental leakage risk impact coefficient, T refers to the ambient temperature, W refers to the ambient humidity, V refers to the ambient wind speed, and T1, W1, and V1 refer to constants.

[0035] Preferably, the mathematical model of the safety factor of the sub-area equipment is as follows:

[0036] Where ML refers to the sub-area equipment safety factor, f i Refers to the number of equipment maintenance times in sub-area i, g i Refers to the age of equipment used in the i sub-area, g 废 , f1 refers to a constant.

[0037] Preferably, the mathematical model of the sub-region leakage risk index is as follows:

[0038] in Refers to the sub-area leakage risk index, PL refers to the sub-area production leakage risk coefficient, WL refers to the sub-area environmental leakage risk impact coefficient, and ML refers to the sub-area equipment safety factor.

[0039] Preferably, the mathematical model of the target area leakage risk index is as follows:

[0040] in Refers to the target area leakage risk index, Refers to the sub-region leakage risk index;

[0041] The production leakage risk judgment module is used to compare the leakage risk index value of the target area with the preset value, and input the comparison result into the interactive feedback module.

[0042] Preferably, the preset value is formulated according to relevant national regulations, industry specifications and the chemical plant's own management objectives, and represents the leakage risk of chemical production. If the leakage risk index value of the target area exceeds the corresponding preset value, it indicates that the chemical production system has a high leakage risk and spreads quickly in the environment. If the leakage risk index value is lower than the warning value, it means that the leakage risk of the chemical production system is low and the hazard level is small.

[0043] Preferably, when the comparison result of the interactive feedback module is higher than a preset value, the system will trigger an alarm function on the terminal, send a warning signal to the management personnel through sound, vibration and pop-up window, and provide relevant parameters to help the management personnel analyze the reasons affecting the leakage risk index of the target area.

[0044] Technical effects and advantages of the present invention:

[0045] 1. The present invention adopts an accurate regional division strategy to achieve efficient and comprehensive monitoring of the target area. Through the sub-region division module, we finely divide the target area into multiple sub-regions, and carefully collect key information in each sub-region. This information covers the equipment operation status, production key performance indicators and real-time environmental data. This comprehensive and detailed data collection method ensures that the system can obtain more abundant and accurate monitoring information, providing a solid data foundation for subsequent risk assessment and prediction;

[0046] 2. The present invention can better assess the impact of environmental factors on equipment leakage risk through accurate perception and in-depth analysis of environmental factors, and take into account the potential for chemical diffusion in the environment. This strategy of comprehensive consideration of environmental factors helps the system to more accurately assess the risks and potential hazards of leakage incidents, providing strong support for safety management and emergency response;

[0047] 3. The present invention fully considers the impact of equipment usage on leakage risk. By combining the historical data of the equipment, the system can examine more dimensional indicators, such as equipment maintenance records, operating hours, etc., to more accurately predict leakage risks. This multi-dimensional risk assessment strategy enables the system to more comprehensively understand the health status and potential risks of the equipment, providing reliable protection for the safe production of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] As attached Figure 1 The chemical production leakage detection intelligent control system shown includes a sub-area division module, a sub-area information collection module, a sub-area leakage risk analysis module, a target area leakage risk analysis module, a production leakage risk judgment module and an interactive feedback module.

[0051] The output end of the sub-area division module is connected to the input end of the sub-area information collection module, the output end of the sub-area information collection module is connected to the input end of the sub-area leakage risk analysis module, the output end of the sub-area leakage risk analysis module is connected to the input end of the target area leakage risk analysis module, the output end of the target area production leakage risk analysis module is connected to the input end of the production leakage risk judgment module, and the output end of the production leakage risk judgment module is connected to the input end of the interactive feedback module.

[0052] The sub-area division module is used to record all chemical production equipment in the factory to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas, and mark them as 1, 2, 3...n in sequence;

[0053] The sub-area information collection module includes an equipment information collection unit and an environment information collection unit, which are used to collect data from the sub-area to obtain comprehensive parameters and output the comprehensive parameters to the sub-area leakage risk analysis module;

[0054] In a preferred technical solution of the present application, the specific method for obtaining the comprehensive parameters of each sub-region in the sub-region information acquisition module is as follows:

[0055] It should be specifically explained in this embodiment that the comprehensive parameters refer to the sub-region equipment pressure floating speed parameter, the sub-region gas concentration parameter, the sub-region liquid flow parameter, the sub-region gas temperature parameter, the sub-region liquid temperature parameter, the sub-region pipeline flow parameter, the sub-region pump current parameter, the sub-region pump speed parameter, the ambient temperature parameter, the ambient humidity parameter, the ambient wind speed parameter, the sub-region equipment maintenance times parameter and the sub-region equipment use age parameter;

[0056] The sub-area equipment pressure floating speed parameter refers to the equipment pressure floating speed p of the i sub-area i ;

[0057] The sub-region gas concentration parameter refers to the gas concentration k in the i sub-region i ;

[0058] The sub-region liquid flow parameter refers to the liquid pipeline flow rate of the sub-region i. i ;

[0059] The sub-region gas temperature parameter refers to the gas temperature t of the i sub-region i ;

[0060] The sub-region liquid temperature parameter refers to the liquid temperature c of the sub-region i. i ;

[0061] The sub-area gas flow parameter refers to the gas pipeline flow m of the i sub-area i ;

[0062] The current parameter of the sub-region pump refers to the actual working current d of the sub-region pump i i ;

[0063] The speed parameter of the sub-region pump refers to the speed ω of the sub-region pump i i ;

[0064] The ambient temperature parameter refers to the ambient temperature T;

[0065] The ambient humidity parameter refers to the ambient humidity W;

[0066] The ambient wind speed parameter refers to the ambient wind speed V;

[0067] The sub-area equipment maintenance times parameter refers to the number of times the equipment in the i sub-area is maintained f i ;

[0068] The sub-area device usage age parameter refers to the device usage age g in the i sub-area i ;

[0069] It should be specifically noted in this embodiment that the sub-region gas concentration parameters, sub-region liquid flow parameters, sub-region gas temperature parameters, sub-region liquid temperature parameters, sub-region pipeline flow parameters, sub-region pump current parameters, ambient temperature parameters, ambient temperature parameters, ambient humidity parameters, ambient wind speed parameters, sub-region equipment maintenance times parameters and sub-region equipment age parameters are all collected by conventional means, such as ambient temperature measuring instruments, ambient humidity measuring instruments, ambient wind speed measuring instruments, equipment use and maintenance logs, and therefore are not specifically limited in this embodiment;

[0070] The specific method for collecting the sub-area equipment pressure floating speed parameters is as follows:

[0071] The pressure sensor records the initial pressure P1 when the equipment pressure changes, the pressure P2 when the pressure stops changing or the direction of change changes, and records the change time t 变 , and finally get

[0072] The specific method for collecting the speed parameters of the sub-region pump is as follows:

[0073] Mark the rotating parts of the pump, such as the pump shaft or blades, and record t 泵 The number of times the marked point passes through a certain point in the time period is x, and we get ω is calculated by taking values ​​continuously over a period of time. i1 ,ω i2 ...ω in Finally, we get

[0074] The sub-region leakage risk analysis module is used to import and calculate the data collected in the sub-region information collection module to obtain the sub-region production leakage risk coefficient, the sub-region environmental leakage risk impact coefficient, the sub-region equipment safety factor and the sub-region leakage risk index;

[0075] It should be specifically explained in this embodiment that the mathematical model of the sub-area production leakage risk coefficient is as follows:

[0076] Where PL refers to the production leakage risk factor of the sub-area, p i Refers to the floating speed of equipment pressure in sub-area i, k i refers to the gas concentration in the i sub-region, l i Refers to the liquid pipeline flow rate in the i-th sub-area, t i refers to the gas temperature in the i-th sub-region, c i Refers to the liquid temperature in the i-th sub-region, m i Refers to the gas pipeline flow rate in the i sub-area, d i Refers to the actual working current of the pump in the i-th sub-region, ω i Refers to the speed of the pump in the i-zone, d, ω refers to a constant;

[0077] It should be specifically explained in this embodiment that It refers to the gas concentration, liquid pipeline flow, gas temperature, and gas pipeline flow obtained during normal production without leakage in the practice of a chemical plant. The ω and d refer to the rated speed and rated current of the pump;

[0078] It should be specifically explained in this embodiment that the mathematical model of the sub-region environmental leakage risk impact coefficient is as follows:

[0079] Where WL refers to the sub-region environmental leakage risk impact coefficient, T refers to the ambient temperature, W refers to the ambient humidity, V refers to the ambient wind speed, and T1, W1, and V1 refer to constants;

[0080] It should be specifically noted in this embodiment that T1, W1, and V1 specifically refer to the average temperature, humidity, and wind speed when a leakage accident occurs in the practice of a chemical plant;

[0081] It should be specifically explained in this embodiment that the mathematical model of the safety factor of the sub-area equipment is as follows:

[0082] Where ML refers to the sub-area equipment safety factor, f i Refers to the number of equipment maintenance times in sub-area i, g i It refers to the age of equipment in the i sub-area, g waste and f1 refer to constants;

[0083] In this embodiment, it should be specifically explained that g refers to the average scrap age of the equipment, f1 refers to the average number of repairs of the equipment that has a leakage accident, and in this embodiment, it should be specifically explained that the number of repairs refers to the number of repairs that require shutdown for maintenance for more than 8 hours;

[0084] It should be specifically explained in this embodiment that the mathematical model of the sub-area leakage risk index is as follows:

[0085] in refers to the leakage risk index of the sub-area, PL refers to the production leakage risk coefficient of the sub-area, WL refers to the environmental leakage risk impact coefficient of the sub-area, and ML refers to the equipment safety factor of the sub-area;

[0086] The target area leakage risk analysis module is used to import and calculate the data obtained by the sub-area leakage risk analysis module to obtain the target area leakage risk index;

[0087] It should be specifically explained in this embodiment that the mathematical model of the target area leakage risk index is as follows:

[0088] in Refers to the target area leakage risk index, Refers to the sub-region leakage risk index;

[0089] The production leakage risk judgment module is used to compare the leakage risk index value of the target area with the preset value, and input the comparison result into the interactive feedback module;

[0090] It should be specifically noted in this embodiment that the preset value is formulated according to relevant national regulations, industry specifications and the chemical plant's own management objectives, and represents the leakage risk of chemical production. If the leakage risk index value of the target area exceeds the corresponding preset value, it indicates that the chemical production system has a high leakage risk and spreads very quickly in the environment. If the leakage risk index value is lower than the warning value, it means that the leakage risk of the chemical production system is low and the hazard level is small.

[0091] The interactive feedback module is used to import the comparison results into the administrator terminal and wait for the terminal information processing;

[0092] What needs to be specifically explained in this embodiment is that when the comparison result of the interactive feedback module is higher than the preset value, the system will trigger the alarm function on the terminal, send a warning signal to the management personnel through sound, vibration and pop-up window, and provide relevant parameters to help the management personnel analyze the reasons affecting the leakage risk index of the target area.

[0093] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0094] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent control system for leak detection in chemical production, characterized in that: include: Sub-area division module, sub-area information collection module, sub-area leakage risk analysis module, target area leakage risk analysis module, production leakage risk judgment module and interactive feedback module; The sub-area division module is used to record all chemical production equipment in the factory to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas, and mark them as 1, 2, 3...n in sequence; The sub-area information acquisition module: includes an equipment information acquisition unit and an environmental information acquisition unit, which are used to collect data from the sub-area to obtain comprehensive parameters and output the comprehensive parameters to the sub-area leakage risk analysis module; the comprehensive parameters refer to the sub-area equipment pressure floating speed parameters, sub-area gas concentration parameters, sub-area liquid flow parameters, sub-area gas temperature parameters, sub-area liquid temperature parameters, sub-area pipeline flow parameters, sub-area pump current parameters, sub-area pump speed parameters, environmental temperature parameters, environmental humidity parameters, environmental wind speed parameters, sub-area equipment maintenance times parameters and sub-area equipment use age parameters; The sub-area equipment pressure floating speed parameter refers to the equipment pressure floating speed p of the i sub-area i ; The sub-region gas concentration parameter refers to the gas concentration k in the i sub-region i ; The sub-region liquid flow parameter refers to the liquid pipeline flow rate of the sub-region i. i ; The sub-region gas temperature parameter refers to the gas temperature t of the i sub-region i ; The sub-region liquid temperature parameter refers to the liquid temperature c of the sub-region i. i ; The sub-area gas flow parameter refers to the gas pipeline flow m of the i sub-area i ; The current parameter of the sub-region pump refers to the actual working current d of the sub-region pump i i ; The speed parameter of the sub-region pump refers to the speed ω of the sub-region pump i i ; The ambient temperature parameter refers to the ambient temperature T; The ambient humidity parameter refers to the ambient humidity W; The ambient wind speed parameter refers to the ambient wind speed V; The sub-area equipment maintenance times parameter refers to the number of times the equipment in the i sub-area is maintained ω i ; The sub-area device usage age parameter refers to the device usage age g in the i sub-area i ; The sub-region leakage risk analysis module is used to import and calculate the data collected in the sub-region information collection module to obtain the sub-region production leakage risk coefficient, the sub-region environmental leakage risk impact coefficient, the sub-region equipment safety factor and the sub-region leakage risk index; The mathematical model of the sub-area production leakage risk coefficient is as follows: Where PL refers to the production leakage risk factor of the sub-area, p i Refers to the floating speed of equipment pressure in sub-area i, k i refers to the gas concentration in the i sub-region, l i Refers to the liquid pipeline flow rate in the i-th sub-area, t i refers to the gas temperature in the i-th sub-region, c i refers to the liquid temperature in sub-region i, m i Refers to the gas pipeline flow rate in the i sub-area, d i Refers to the actual working current of the pump in the i-th sub-region, ω i Refers to the speed of the pump in the i-zone, d, ω refers to a constant; The mathematical model of the sub-region environmental leakage risk impact coefficient is as follows: Where WL refers to the sub-region environmental leakage risk impact coefficient, T refers to the ambient temperature, W refers to the ambient humidity, V refers to the ambient wind speed, and T1, W1, and V1 refer to constants; The mathematical model of the safety factor of the sub-area equipment is as follows: Where ML refers to the sub-area equipment safety factor, f i Refers to the number of equipment maintenance times in sub-area i, g i Refers to the age of equipment used in sub-area i, g 废 , f1 refers to a constant; The mathematical model of the sub-area leakage risk index is as follows: in refers to the leakage risk index of the sub-area, PL refers to the production leakage risk coefficient of the sub-area, WL refers to the environmental leakage risk impact coefficient of the sub-area, and ML refers to the equipment safety factor of the sub-area; The target area leakage risk analysis module is used to import and calculate the data obtained by the sub-area leakage risk analysis module to obtain the target area leakage risk index; The mathematical model of the target area leakage risk index is as follows: in Refers to the target area leakage risk index, Refers to the sub-region leakage risk index; The production leakage risk judgment module is used to compare the leakage risk index value of the target area with the preset value, and input the comparison result into the interactive feedback module; The production leakage risk judgment module is used to compare the leakage risk index value of the target area with the preset value, and input the comparison result into the interactive feedback module; The interactive feedback module is used to import the comparison results into the administrator terminal and wait for terminal information processing.

2. According to claim 1, a chemical production leak detection intelligent control system is characterized by: The specific method for collecting the sub-area equipment pressure floating speed parameters is as follows: The pressure sensor records the initial pressure P1 when the equipment pressure changes, the pressure P2 when the pressure stops changing or the direction of change changes, and records the change time t 变 , and finally get 3. The intelligent control system for chemical production leakage detection according to claim 1 is characterized by: The specific method for collecting the speed parameters of the sub-region pump is as follows: Mark the rotating part of the pump shaft or the blades and record t 泵 The number of times the marked point passes through a certain point in the time period is x, and we get ω is calculated by taking values ​​continuously over a period of time. i1 ,ω i2 ...ω iT Finally, we get

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