Gas leakage early warning method and system

Abstract

The invention relates to the technical field of gas monitoring, and discloses a gas leakage early warning method and system, and the system comprises a multi-dimensional data module and an intelligent early warning module. According to the injection molding part production parameter optimization system and method, positioning data of all gas valves, sensing data of all monitoring points and environmental data are obtained through a multi-dimensional data module and are classified to form a data set, an intelligent early warning module analyzes the air density of each monitoring point and the diffusion trend of different gases, corresponding diffusion data sets are generated, and the diffusion data sets are stored in a database; the accuracy of comprehensively evaluating the diffusion trend is high, the intelligent early warning module analyzes the risk score of each valve according to the installation environment of the gas valves, quickly checks leakage points and judges the gas leakage degree of the monitoring points, if the concentration of any gas in the diffusion data set contains a danger threshold value, the gas leakage degree is within a controllable range, and if the concentration of any gas is not contained in the danger threshold value, the gas leakage degree is within the controllable range. And if the concentration of any gas in the diffusion data set exceeds a danger threshold value, an escape alarm is generated, and the leakage checking response speed is high.

Description

Technical Field

[0001] The present invention relates to the technical field of gas monitoring, and in particular to a gas leakage early warning method and system. Background Art

[0002] The gas leak warning system is a key safety facility used to detect and alarm harmful gas leaks in various industrial and domestic environments. The gas leak warning system monitors the gas concentration in real time through a sensor device. When the sensor device reacts with the target gas to generate an electrical signal and the detected gas concentration exceeds the safety threshold, an alarm will be immediately issued to prevent possible dangerous situations. Common sensor types include semiconductor sensors, electrochemical sensors, infrared sensors, and catalytic combustion sensors. Semiconductor sensors are suitable for detecting combustible gases such as methane and propane. Electrochemical sensors are used to detect toxic gases such as carbon monoxide and hydrogen sulfide. Infrared sensors are good at detecting gases such as carbon dioxide. Catalytic combustion sensors are often used to detect combustible gases. The gas leak warning system is widely used in the fields of chemical, petroleum, natural gas, etc. It can monitor flammable, explosive or toxic gases in real time, prevent natural gas or other harmful gases from leaking, and thus protect personnel safety.

[0003] At present, traditional gas leak warning methods mainly rely on detecting gas concentration to judge the severity and potential danger of the leak, ignoring the fact that the diffusion trend of gas leakage is easily affected by various environmental factors such as temperature, humidity, wind speed, and wind direction, resulting in inaccurate detection results and a high false alarm rate. Once a gas leak is found, it takes a lot of time and resources to find the leak point, the emergency response speed is slow, and it is difficult to effectively ensure the safety of personnel. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a gas leakage warning method and system, which has the advantages of high accuracy in comprehensively evaluating diffusion trends and fast response speed in leak detection, and solves the problem that traditional gas leakage warning methods ignore environmental interference factors and have low emergency response efficiency.

[0005] To achieve the above object, the present invention provides the following technical solution: a gas leakage early warning method, comprising the following steps: Step 1: Connect the central control console, VOC gas infrared leak detector and environmental monitoring device through the network to obtain the positioning data of all gas valves, the sensor data and environmental data of all monitoring points, and classify them into positioning data set, monitoring data set and environmental data set; Step 2: Analyze the air density at each monitoring point based on the monitoring data set and the environmental data set and the diffusion trends of different gases to generate corresponding diffusion data sets ; Step 3: Analyze the risk score of each valve according to the location data set and monitoring data set and the installation environment of the gas valve ; Step 4: According to the diffusion data group and risk score , determine the leakage degree of gas at the monitoring point and generate corresponding early warning signals.

[0006] Preferably, in step 1, the expression for locating the data set is , to It represents the positioning data of the first to m-th gas valves, including the installation environment and height from the ground. r represents the number of people active in the area where a single gas valve is located.

[0007] Preferably, in step 1, the expression of the monitoring data set is , to It represents the sensing data from the first to the nth monitoring point. The sensing data includes gas composition, gas concentration and gas density. s represents the specific time for obtaining a single set of sensing data.

[0008] Preferably, in step 1, the expression of the environmental data set is , to It represents the environmental data of the first to nth monitoring points, including temperature, humidity, wind speed and wind direction. d represents the specific time for obtaining a single set of environmental data.

[0009] Preferably, in step 2, the air density The calculation process is as follows: Extract the environment data set The environmental data of the monitoring points are marked as ; according to , will The ambient temperature of each monitoring point is marked as , will The ambient temperature of each monitoring point is marked as , will The ambient wind speed at each monitoring point is marked as , will The ambient wind direction of each monitoring point is marked as ;

[0010] In the formula, represents the air density, It represents the weight of measuring the influence of ambient temperature on air density. It represents the weight of measuring the influence of ambient humidity on air density. It represents the weight of measuring the influence of ambient wind speed on air density. , and are constants, and , Indicates according to , and The weights are combined with the three influencing factors of ambient temperature, humidity and wind speed to obtain the The air density at each monitoring point.

[0011] Preferably, in step 2, the diffusion data set The calculation process is as follows: Extract the monitoring data set The sensor data of the monitoring points are marked as ,in, ; according to , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by ; According to Air density at each monitoring point ,set up The dangerous threshold of gas concentration is , The dangerous threshold of gas concentration is ;

[0012] In the formula, represents the diffusion data set, Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in express The ratio of gas density to air density. If the ratio is greater than 1, Gases sink and diffuse in the air. express The ratio of gas density to air density. If the ratio is less than 1, Gases rise and spread in the air.

[0013] Preferably, in step 3, the risk score The calculation process is as follows: Extract the first The location data of gas valves, in which the Monitoring point and The distance between the gas valves is the shortest; Jordi The installation environment of a gas valve is indoors.

[0014] Jordi The installation environment of a gas valve is outdoor.

[0015] In the formula, represents the risk score, Represents the weight of the number of people in regional activities, Indicates The number of people active in the area where the gas valve is located, Indicates The height of the gas valve from the ground, Indicates the delay response time. Indicates the diffusion distance of the leaked gas within the delayed response time. It represents the diffusion area obtained by multiplying the height above the ground by the diffusion distance. represents the weight for the diffusion area of ​​leaked gas, Indicates the tolerance parameter for the risk score of a gas valve installed indoors. , , and are constants, and .

[0016] Preferably, in step 4, if the diffusion data set If the concentration of any gas is within the dangerous threshold, it means that the gas leakage is within the controllable range, and a leakage alarm is generated, and combined with the risk score , prioritize risk scores Higher gas valve for emergency maintenance.

[0017] Preferably, in step 4, if the diffusion data set If the concentration of any gas exceeds the dangerous threshold, it means that the gas leakage is serious and an escape alarm is generated.

[0018] A gas leakage early warning system, comprising a multi-dimensional data module and an intelligent early warning module; The multidimensional data module is composed of a valve data unit, a gas monitoring unit and an environmental monitoring unit. The valve data unit is connected to the central control console via a network to collect a positioning data set, and the positioning data set includes the positioning data of all gas valves. The gas monitoring unit is connected to the VOC gas infrared leak detector via a network to collect a monitoring data set, and the monitoring data set includes the sensor data of all monitoring points. The environmental monitoring unit is connected to the environmental monitoring device via a network to collect an environmental data set, and the environmental data set includes the environmental data of all monitoring points. The multidimensional data module transmits the positioning data set, the monitoring data set and the environmental data set to the intelligent early warning module via the network; The intelligent early warning module consists of a leakage analysis unit, a risk assessment unit and an emergency management unit. The leakage analysis unit analyzes the air density of each monitoring point based on the monitoring data set and the environmental data set. and the diffusion trends of different gases to generate corresponding diffusion data sets The risk assessment unit analyzes the risk score of each valve according to the location data set and the monitoring data set and the installation environment of the gas valve. and transmitted to the emergency management unit through the network, and the emergency management unit is configured according to the diffusion data group and risk score , determine the leakage degree of gas at the monitoring point and generate corresponding early warning signals.

[0019] Compared with the prior art, the present invention provides a gas leakage early warning method and system, which has the following beneficial effects: 1. The present invention connects the central control console, VOC gas infrared leak detector and environmental monitoring device through a multi-dimensional data module network to obtain the positioning data of all gas valves, the sensor data and environmental data of all monitoring points, and classifies them into positioning data sets, monitoring data sets and environmental data sets. The intelligent early warning module analyzes the air density of each monitoring point based on the monitoring data sets and environmental data sets. The air density will change significantly with temperature and humidity, and slightly with wind speed. These three environmental factors directly affect the diffusion rate of toxic gases in the air. Then analyze the diffusion trends of different gases and generate corresponding diffusion data sets. , and the diffusion trend can be comprehensively assessed with high accuracy.

[0020] 2. The present invention uses an intelligent early warning module to analyze the risk score of each valve according to the location data set and the monitoring data set and the installation environment of the gas valve. , quickly check the leakage point, effectively avoid the gas accumulation to dangerous concentration, reduce the risk of explosion, fire or poisoning, and the intelligent early warning module will respond to the diffusion data group and risk score , to determine the degree of gas leakage at the monitoring point, if the diffusion data set If the concentration of any gas is within the dangerous threshold, it means that the gas leakage is within the controllable range, and a leakage alarm is generated, and combined with the risk score , prioritize risk scores

[0021] Higher gas valves for emergency maintenance, if the diffusion data group If the concentration of any gas exceeds the dangerous threshold, it means that the gas leakage is serious, an escape alarm is generated, and the response speed for leak investigation is fast. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a step diagram of the method of the present invention; Figure 2 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0023] 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.

[0024] Since the traditional gas leakage warning method mainly relies on detecting gas concentration to judge the severity and potential danger of the leakage, it ignores that the diffusion trend of gas leakage is easily affected by various environmental factors such as temperature, humidity, wind speed, wind direction, etc., resulting in inaccurate detection results and a high false alarm rate. Once a gas leakage phenomenon is found, it takes a lot of time and resources to find the leakage point, and the emergency response speed is slow, which makes it difficult to effectively ensure the safety of personnel. Therefore, a gas leakage warning method and system are provided. Please refer to Figure 1 , a gas leakage early warning method, comprising the following steps: Step 1: Connect the central control console, VOC gas infrared leak detector and environmental monitoring device through the network to obtain the positioning data of all gas valves, the sensor data and environmental data of all monitoring points, and classify them into positioning data set, monitoring data set and environmental data set; The expression for locating the data set is , to Indicates the first to The positioning data of each gas valve includes the installation environment and height from the ground. Indicates the number of people active in the area where a single gas valve is located, and manages a large number of gas valves in a unified manner, facilitating subsequent rapid decision-making on emergency measures; The expression of the monitoring data set is , to Indicates the first to The sensor data of each monitoring point includes gas composition, gas concentration and gas density. Indicates the specific time when a single set of sensor data is obtained. Real-time monitoring helps to improve the speed of early warning response; The expression of the environment dataset is , to Indicates the first to Environmental data of each monitoring point, including temperature, humidity, wind speed and direction, Indicates the specific time of obtaining a single set of environmental data, and deeply analyzes the impact of various environmental factors such as temperature, humidity, wind speed, wind direction, etc. on the gas leakage diffusion trend; Step 2: Analyze the air density at each monitoring point based on the monitoring data set and the environmental data set and the diffusion trends of different gases to generate corresponding diffusion data sets , the calculation process is as follows: Extract the environment data set The environmental data of the monitoring points are marked as ; according to , will The ambient temperature of each monitoring point is marked as , will The ambient temperature of each monitoring point is marked as , will The ambient wind speed at each monitoring point is marked as , will The ambient wind direction of each monitoring point is marked as ;

[0025] In the formula, represents the air density, It represents the weight of measuring the influence of ambient temperature on air density. It represents the weight of measuring the influence of ambient humidity on air density. It represents the weight of measuring the influence of ambient wind speed on air density. , and are constants, and , Indicates according to , and The weights are combined with the three influencing factors of ambient temperature, humidity and wind speed to obtain the The air density at each monitoring point changes significantly with temperature and humidity, and slightly with wind speed. These three environmental factors directly affect the diffusion rate of toxic gases in the air. Extract the monitoring data set The sensor data of the monitoring points are marked as ,in, ; according to , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by ; According to Air density at each monitoring point ,set up The dangerous threshold of gas concentration is , The dangerous threshold of gas concentration is ;

[0026] In the formula, represents the diffusion data set, Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in express The ratio of gas density to air density. If the ratio is greater than 1, Gases sink and diffuse in the air. express The ratio of gas density to air density. If the ratio is less than 1, Gases rise and diffuse in the air, and comprehensive assessment of diffusion trends is highly accurate; Step 3: Analyze the risk score of each valve according to the location data set and monitoring data set and the installation environment of the gas valve , the calculation process is as follows: Extract the first The location data of gas valves, in which the Monitoring point and The distance between the gas valves is the shortest; Jordi The installation environment of a gas valve is indoors.

[0027] Jordi The installation environment of a gas valve is outdoor.

[0028] In the formula, represents the risk score, Represents the weight of the number of people in regional activities, Indicates The number of people active in the area where the gas valve is located, Indicates The height of the gas valve from the ground, Indicates the delay response time. Indicates the diffusion distance of the leaked gas within the delayed response time. It represents the diffusion area obtained by multiplying the height above the ground by the diffusion distance. represents the weight for the diffusion area of ​​leaked gas, Indicates the tolerance parameter for the risk score of a gas valve installed indoors. , , and are constants, and , quickly find the leak point, effectively prevent the gas from accumulating to dangerous concentrations, and reduce the risk of explosion, fire or poisoning; Step 4: According to the diffusion data group and risk score , determine the leakage degree of the gas at the monitoring point and generate the corresponding warning signal. If the concentration of any gas is within the dangerous threshold, it means that the gas leakage is within the controllable range, and a leakage alarm is generated, and combined with the risk score , prioritize risk scores Higher gas valves for emergency maintenance, if the diffusion data group If the concentration of any gas exceeds the dangerous threshold, it means that the gas leakage is serious, an escape alarm is generated, and the response speed for leak investigation is fast.

[0029] See also Figure 2 , a gas leakage early warning system, including a multi-dimensional data module and an intelligent early warning module; The multi-dimensional data module is composed of a valve data unit, a gas monitoring unit and an environmental monitoring unit. The valve data unit is connected to the central control console through the network to collect the positioning data set, and the positioning data set includes the positioning data of all gas valves. The gas monitoring unit is connected to the VOC gas infrared leak detector through the network to collect the monitoring data set, and the monitoring data set includes the sensor data of all monitoring points. The environmental monitoring unit is connected to the environmental monitoring device through the network to collect the environmental data set, and the environmental data set includes the environmental data of all monitoring points. The multi-dimensional data module transmits the positioning data set, the monitoring data set and the environmental data set to the intelligent early warning module through the network; The intelligent early warning module consists of a leakage analysis unit, a risk assessment unit, and an emergency management unit. The leakage analysis unit analyzes the air density at each monitoring point based on the monitoring data set and the environmental data set. and the diffusion trends of different gases to generate corresponding diffusion data sets The data is transmitted to the emergency management unit through the network to comprehensively evaluate the diffusion trend with high accuracy. The risk assessment unit analyzes the risk score of each valve according to the installation environment of the gas valve based on the positioning data set and the monitoring data set. and transmitted to the emergency management unit through the network. The emergency management unit will and risk score , determine the leakage degree of gas at the monitoring point, and generate corresponding early warning signals, and the leakage detection and response speed is fast.

[0030] Example 1: In this experiment, hydrogen and carbon dioxide were selected as experimental objects. After testing, the hydrogen concentration at a single monitoring point was 6%, the dangerous threshold of hydrogen concentration was 4-30%, the hydrogen density was 0.089 g / L, the carbon dioxide concentration was 4.5%, the dangerous threshold of carbon dioxide concentration was 4-8%, the carbon dioxide density was 1.977 g / L, the air density was 1.225 g / L, the wind speed was 1.5 m / s, and the wind direction was east-west. The diffusion data set of the two gases at this monitoring point is The calculation formula is as follows:

[0031] In the formula, represents the diffusion data set, Indicates that the hydrogen concentration is within the dangerous threshold and the leakage level is within the controllable range, generating a hydrogen leakage alarm. Indicates that the carbon dioxide concentration is within the dangerous threshold and the leakage level is within the controllable range, generating a carbon dioxide leakage alarm. It represents the ratio of hydrogen density to air density. When the ratio is less than 1, hydrogen rises and diffuses in the air at a speed of 1.5 m / s along the east-west wind direction. It represents the ratio of carbon dioxide density to air density. When the ratio is greater than 1, hydrogen sinks and diffuses in the air at a speed of 1.5 m / s along the east-west wind direction.

[0032] Example 2: In this experiment, a gas valve installed indoors was selected as the experimental object. After testing, the number of people active in the area where the gas valve was located was 10, the height of the gas valve from the ground was 0.8m, the delayed response time was 15s, the wind speed was 1m / s, the weight for the number of people active in the area was 0.6, the weight for the diffusion area of ​​the leaked gas was 0.4, the tolerance parameter for the risk score of the gas valve installed indoors was 10 points, and the risk score of the gas valve was The calculation formula is as follows:

[0033] In the formula, represents the risk score, It means that within the delayed response time, the diffusion distance of the leaked gas is 15m. It means that the height above the ground multiplied by the diffusion distance, the diffusion area is 12m², and the risk score of the gas valve is 20.8 points.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A gas leakage early warning method, characterized in that: The following steps are involved: Step 1: Connect the central control console, VOC gas infrared leak detector and environmental monitoring device through the network to obtain the positioning data of all gas valves, the sensor data and environmental data of all monitoring points, and classify them into positioning data set, monitoring data set and environmental data set; Step 2: Analyze the air density at each monitoring point based on the monitoring data set and the environmental data set and the diffusion trends of different gases to generate corresponding diffusion data sets ; Step 3: Analyze the risk score of each valve according to the location data set and monitoring data set and the installation environment of the gas valve ; Step 4: According to the diffusion data group and risk score , determine the leakage degree of gas at the monitoring point and generate corresponding early warning signals.

2. A gas leakage early warning method according to claim 1, characterized in that: In step 1, the expression for locating the data set is: , to Indicates the first to The positioning data of each gas valve includes the installation environment and height from the ground. Indicates the number of people active in the area where a single gas valve is located.

3. A gas leakage early warning method according to claim 2, characterized in that: In step 1, the expression of the monitoring data set is: , to Indicates the first to The sensor data of each monitoring point includes gas composition, gas concentration and gas density. Indicates the specific time of obtaining a single set of sensor data.

4. A gas leakage early warning method according to claim 3, characterized in that: In step 1, the expression of the environmental data set is: , to Indicates the first to Environmental data of each monitoring point, including temperature, humidity, wind speed and direction, Indicates the specific time for obtaining a single set of environmental data.

5. A gas leakage early warning method according to claim 4, characterized in that: In step 2, the air density The calculation process is as follows: Extract the environment data set The environmental data of the monitoring points are marked as ; according to , will The ambient temperature of each monitoring point is marked as , will The ambient temperature of each monitoring point is marked as , will The ambient wind speed at each monitoring point is marked as , will The ambient wind direction of each monitoring point is marked as ; In the formula, represents the air density, It represents the weight of measuring the influence of ambient temperature on air density. It represents the weight of measuring the influence of ambient humidity on air density. It represents the weight of measuring the influence of ambient wind speed on air density. , and are constants, and , Indicates according to , and The weights are combined with the three influencing factors of ambient temperature, humidity and wind speed to obtain the The air density at each monitoring point.

6. A gas leakage early warning method according to claim 5, characterized in that: In step 2, the diffusion data set The calculation process is as follows: Extract the monitoring data set The sensor data of the monitoring points are marked as ,in, ; according to , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by , will Monitoring points The concentration of the gas is marked as , will Monitoring points The density of the gas is denoted by ; According to Air density at each monitoring point ,set up The dangerous threshold of gas concentration is , The dangerous threshold of gas concentration is ; In the formula, represents the diffusion data set, Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in Indicates that Gas concentration vs. danger threshold The minimum and maximum values ​​in express The ratio of gas density to air density. If the ratio is greater than 1, Gases sink and diffuse in the air. express The ratio of gas density to air density. If the ratio is less than 1, Gases rise and spread in the air.

7. A gas leakage early warning method according to claim 6, characterized in that: In step 3, risk scoring The calculation process is as follows: Extract the first The location data of gas valves, in which the Monitoring point and The distance between the gas valves is the shortest; Jordi The installation environment of a gas valve is indoors. Jordi The installation environment of a gas valve is outdoor. In the formula, represents the risk score, Represents the weight of the number of people in regional activities, Indicates The number of people active in the area where the gas valve is located, Indicates The height of the gas valve from the ground, Indicates the delay response time. Indicates the diffusion distance of the leaked gas within the delayed response time. It represents the diffusion area obtained by multiplying the height above the ground by the diffusion distance. represents the weight for the diffusion area of ​​leaked gas, Indicates the tolerance parameter for the risk score of a gas valve installed indoors. , , and are constants, and .

8. A gas leakage early warning method according to claim 7, characterized in that: In step 4, if the diffusion data set If the concentration of any gas is within the dangerous threshold, it means that the gas leakage is within the controllable range, and a leakage alarm is generated, and combined with the risk score , prioritize risk scores Higher gas valve for emergency maintenance.

9. A gas leakage early warning method according to claim 8, characterized in that: In step 4, if the diffusion data set If the concentration of any gas exceeds the dangerous threshold, it means that the gas leakage is serious and an escape alarm is generated.

10. A gas leakage warning system, applied to a gas leakage warning method according to any one of claims 1 to 9, characterized in that: It includes a multidimensional data module and an intelligent early warning module; the multidimensional data module consists of a valve data unit, a gas monitoring unit and an environmental monitoring unit. The valve data unit is connected to a central control console via a network to collect a positioning data set, and the positioning data set includes the positioning data of all gas valves. The gas monitoring unit is connected to a VOC gas infrared leak detector via a network to collect a monitoring data set, and the monitoring data set includes the sensor data of all monitoring points. The environmental monitoring unit is connected to an environmental monitoring device via a network to collect an environmental data set, and the environmental data set includes the environmental data of all monitoring points. The multidimensional data module transmits the positioning data set, the monitoring data set and the environmental data set to the intelligent early warning module via the network; the intelligent early warning module consists of a leakage analysis unit, a risk assessment unit and an emergency management unit. The leakage analysis unit analyzes the air density of each monitoring point and the diffusion trend of different gases according to the monitoring data set and the environmental data set to generate a corresponding diffusion data set The risk assessment unit analyzes the risk score of each valve according to the location data set and the monitoring data set and the installation environment of the gas valve. and transmitted to the emergency management unit through the network, and the emergency management unit is configured according to the diffusion data group and risk score , determine the leakage degree of gas at the monitoring point and generate corresponding early warning signals.

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