Automatic monitoring and early warning system and method for gas concentration in chemical industry park

Abstract

The invention discloses an automatic monitoring and early warning system and method for gas concentration in a chemical industry park, relates to the technical field of automatic monitoring of gas concentration, and solves the problems that in gas concentration detection of the chemical industry park, it is difficult to adjust an early warning threshold value through dynamic coupling analysis of environmental parameters and social parameters, and the early warning effect is poor. And a reasonable dynamic monitoring interval is difficult to set for monitoring. The method comprises the following steps: compensating a monitoring threshold value according to a diffusion factor of harmful gas of each monitoring point and environmental sensitivity to obtain a dynamic threshold value of each monitoring point; early warning is carried out according to the harmful gas concentration and the dynamic threshold value, a dynamic monitoring interval is set based on the change trend of the harmful gas concentration of the monitoring point, and the harmful gas concentration at the next time point is obtained based on the dynamic monitoring interval; the automatic monitoring sensitivity of the gas concentration in the chemical industry park can be improved, and the monitoring reliability is improved.

Description

Technical Field

[0001] The present invention belongs to the field of industrial safety, relates to the technology of automatic gas concentration monitoring, and specifically is an automatic gas concentration monitoring and early warning system and method for chemical industrial parks. Background Art

[0002] A chemical industrial park is an industrial area or concentration area specifically for the development of the chemical industry, usually with the petroleum and chemical industries as the leading industries. Chemical industrial parks usually involve the production, storage, and transportation of flammable, explosive, toxic, and harmful gases. Once leaked or the concentration exceeds the standard, it may trigger major safety accidents such as fires, explosions, and poisonings, and is prone to form a chain reaction, resulting in disasters on a larger scale. In recent years, the production safety accidents in chemical industrial parks have not only caused casualties and property losses, but also triggered serious environmental pollution problems. In the past, the monitoring of gas concentration in chemical industrial parks relied on manual inspections or single-sensor monitoring, which was difficult to meet the real-time and dynamic monitoring requirements.

[0003] Currently, most automatic gas concentration monitoring and early warning systems for chemical industrial parks are difficult to adjust the early warning threshold through dynamic coupling analysis of environmental parameters and social parameters during the detection of gas concentration in chemical industrial parks. They only judge whether gas leakage occurs according to a fixed threshold, which will lead to insufficient monitoring sensitivity and serious potential safety hazards. At the same time, most automatic gas concentration monitoring and early warning systems for chemical industrial parks are difficult to set a reasonable dynamic monitoring interval for monitoring. They only monitor at fixed times, which will cause the inability to capture data in a timely manner in case of emergencies, delay alarms and emergency responses, and lead to the expansion of accidents.

[0004] Therefore, the present invention discloses an automatic gas concentration monitoring and early warning system and method for chemical industrial parks to solve the above technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the present invention provides an automatic gas concentration monitoring and early warning system and method for chemical industrial parks to solve the technical problems that in the detection of gas concentration in chemical industrial parks, it is difficult to adjust the early warning threshold through dynamic coupling analysis of environmental parameters and social parameters, and it is difficult to set a reasonable dynamic monitoring interval for monitoring. The present invention compensates the monitoring threshold according to the diffusion factor and environmental sensitivity of harmful gases at each monitoring point to obtain the dynamic threshold of each monitoring point; issues an early warning according to the harmful gas concentration and the dynamic threshold, sets a dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtains the harmful gas concentration at the next time point based on the dynamic monitoring interval to solve the above problems.

[0006] To achieve the above object, a first aspect of the present invention provides an automatic monitoring and early warning system for gas concentration in a chemical industrial park, including: a threshold compensation module, and a data collection module, a dynamic monitoring module and a database connected thereto;

[0007] The data collection module: is used to obtain the concentration of harmful gases and environmental data at each monitoring point; wherein, the environmental data includes the number of people around, wind direction, wind speed and temperature;

[0008] The threshold compensation module: is used to analyze the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point, analyze the number of people around to obtain the environmental sensitivity of each monitoring point, and compensate the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point;

[0009] The dynamic monitoring module: is used to give an early warning according to the concentration of harmful gases and the dynamic threshold, set a dynamic monitoring interval based on the change trend of the concentration of harmful gases at the monitoring point, and obtain the concentration of harmful gases at the next time point based on the dynamic monitoring interval;

[0010] The database: is used to store the data filled in manually and obtained and analyzed by the system.

[0011] Preferably, obtaining the concentration of harmful gases and environmental data at each monitoring point includes:

[0012] Obtaining the concentration of harmful gases existing at each monitoring point through a harmful gas monitoring device, obtaining the real-time number of people within the gas influence range of each monitoring point through a camera, and marking the real-time number of people as the number of people around; monitoring the wind direction and wind speed at each monitoring point through a wind vane and an anemometer installed at each monitoring point, and obtaining the temperature at each monitoring point through a temperature sensor installed at the monitoring point; wherein, the gas influence range is obtained through manual setting.

[0013] Preferably, analyzing the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point includes:

[0014] A1: Extract each monitoring point in turn, and judge whether the wind speed FS of the extracted monitoring point exceeds the maximum value of the standard wind speed range; if so, mark the diffusion factor of the current monitoring point as 0; if not, jump to A2; wherein, the standard wind speed range is obtained through manual setting;

[0015] A2: Obtain the temperature WD of the current monitoring point and the type of harmful gas, extract the temperature change function WSj of each type from the database, and judge whether the wind speed FS of the extracted monitoring point is less than the minimum value of the standard wind speed range; if so, based on the formula Obtain the diffusion factor KZ of harmful gases at the current monitoring point;

[0016] If not, based on the formula Obtain the diffusion factor KZ of harmful gases at the current monitoring point; where j is the type number, n is the number of types of harmful gases at the current monitoring point; FZ is the wind change function, BSF is the minimum value of the standard wind speed range; max() is the maximum value function, BWD is the artificially set standard temperature; α is the amplitude adjustment coefficient, and the value range of α is (0, 2]; both β1 and β2 are artificially set proportional adjustment coefficients greater than 0, and β1 + β2 = 1, β1 > β2; both γ1 and γ2 are artificially set proportional adjustment coefficients greater than 0, and γ1 + γ2 = 1, γ1 > γ2.

[0017] Preferably, the analysis of the number of people around to obtain the environmental sensitivity of each monitoring point includes:

[0018] Extract each monitoring point in turn, extract the number of people NR around the monitoring point and the area MJ of the gas influence range, and based on the formula Obtain the basic density CD; where R1 is the distance from the monitoring point to the nearest evacuation passage, R0 is the artificially set standard distance, and k is the Sigmoid steepness coefficient;

[0019] Based on the formula YD = -∑ s∈B P s ln P s Obtain the crowd movement chaos degree YD; where s represents the movement state, B = {stationary, slow, fast}, and P s is the probability that s occurs;

[0020] Based on the formula Obtain the risk exposure coefficient LS; where t is the current time; PVi is the average movement speed of the crowd around the monitoring point at time point i; T is the artificially set time window; CDi represents the basic density at time point i, and the range of i is [t - T, t]; δ is the artificially set speed decay factor, and the value range is (0, 1];

[0021] Perform weight calculation on the basic density CD, the crowd movement chaos degree YD, and the risk exposure coefficient LS to obtain the environmental sensitivity HD of the current monitoring point.

[0022] Preferably, the compensation of the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point includes:

[0023] Extract each monitoring point in turn, extract the diffusion factor KZ and environmental sensitivity HD of the monitoring point, and based on the formula Obtain the dynamic threshold DZj of the harmful gas numbered j; where CZj is the monitoring threshold of the harmful gas numbered j; both σ1 and σ2 are proportional adjustment coefficients greater than 0, and σ1 + σ2 = 1, σ1 < σ2; BKZ is the manually set standard diffusion factor, and BHD is the manually set standard environmental sensitivity;

[0024] When the dynamic threshold DZj is greater than the maximum value of the standard threshold range, update the dynamic threshold DZj with the maximum value of the standard threshold range; when the dynamic threshold DZj is less than the minimum value of the standard threshold range, update the dynamic threshold DZj with the minimum value of the standard threshold range; where the standard threshold range is obtained through experience.

[0025] Preferably, the early warning based on the harmful gas concentration and the dynamic threshold includes:

[0026] C1: Extract the concentrations of each harmful gas and the corresponding dynamic threshold DZj at the current monitoring point, and determine whether there is a situation where the concentration of a harmful gas is greater than the corresponding dynamic threshold DZj; if yes, jump to C2; if no, do nothing;

[0027] C2: Mark the value obtained by subtracting the dynamic threshold DZj from the concentration of each harmful gas as the concentration difference, and determine whether the maximum value among several said concentration differences exceeds the difference threshold; if yes, issue a first warning instruction; if no, issue a second warning instruction; where the difference threshold is obtained through experience;

[0028] C3: Send a warning message according to the warning instruction; where the warning instruction includes the first warning instruction and the second warning instruction.

[0029] Preferably, the sending of the warning message according to the warning instruction includes:

[0030] When receiving the first warning instruction, issue an alarm that there is a large gas leak and personnel should evacuate the current monitoring point immediately;

[0031] When receiving the second warning instruction, issue an alarm that there is a gas leak and personnel should evacuate the current monitoring point.

[0032] Preferably, the setting of the dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point includes:

[0033] Sequentially extract the harmful gases present at the current monitoring point, and mark the concentrations of the extracted harmful gases in the most recent w times as ND h and mark the ratio of ND h subtracted by ND h-1 to ND h-1 as the change value CL at the hth time h ; Obtain several change values CL hThe average value PJ, based on the formula DJ = μ / exp(PJ) × BSJ, obtains the dynamic monitoring interval DJ between the next monitoring and the current monitoring of the current harmful gas; where h represents the serial number, and the value range is [0, w], and w is obtained by manual setting; μ is the amplitude adjustment coefficient, and the value range of μ is (0, 2];

[0034] When the dynamic monitoring interval is greater than the maximum value of the standard interval range, use the maximum value of the standard interval range to update the dynamic monitoring interval; when the dynamic monitoring interval is less than the minimum value of the standard interval range, use the minimum value of the standard interval range to update the dynamic monitoring interval; where the standard interval range is obtained through experience.

[0035] Preferably, obtaining the concentration of harmful gas at the next time point based on the dynamic monitoring interval includes:

[0036] Extract the time points of the most recent monitoring at each monitoring point, add the time points and the corresponding dynamic monitoring intervals of the monitoring points to obtain the time points of the next monitoring at each monitoring point, and monitor the concentration of harmful gas at each monitoring point through the time points of the next monitoring at each monitoring point.

[0037] The second aspect of the present invention provides a method for automatically monitoring and warning the gas concentration in a chemical industrial park, including the following steps:

[0038] S1: Obtain the concentration of harmful gas and environmental data at each monitoring point;

[0039] S2: Analyze the wind speed and temperature to obtain the diffusion factor of harmful gas at each monitoring point, analyze the number of people around to obtain the environmental sensitivity at each monitoring point, and compensate the monitoring threshold based on the diffusion factor and environmental sensitivity at each monitoring point to obtain the dynamic threshold at each monitoring point;

[0040] S3: Give an alarm according to the concentration of harmful gas and the dynamic threshold, set the dynamic monitoring interval based on the change trend of the concentration of harmful gas at the monitoring point, and obtain the concentration of harmful gas at the next time point based on the dynamic monitoring interval.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] 1. The present invention compensates the monitoring threshold for each monitoring point by the diffusion factor and environmental sensitivity of harmful gases at each monitoring point to obtain the dynamic threshold of each monitoring point; issues a warning based on the concentration of harmful gases and the dynamic threshold, sets a dynamic monitoring interval based on the change trend of the concentration of harmful gases at the monitoring point, and obtains the concentration of harmful gases at the next time point based on the dynamic monitoring interval, solving the technical problems that it is difficult to adjust the warning threshold through dynamic coupling analysis of environmental parameters and social parameters and it is difficult to set a reasonable dynamic monitoring interval for monitoring in the gas concentration detection of chemical industrial parks; the present invention can improve the sensitivity of automatic monitoring of gas concentration in chemical industrial parks and improve the reliability of monitoring.

[0043] 2. The present invention constructs an evaluation system that better conforms to the actual scenario by coupling analysis of environmental parameters and social parameters, transforming the "static threshold" into a "spatiotemporal dynamic threshold". Compared with the traditional monitoring system that only relies on the concentration threshold, this patent introduces a diffusion factor to quantify the gas diffusion speed and combines an environmental sensitivity index, enabling the warning threshold to be dynamically adjusted according to meteorological conditions and personnel distribution. For example, in high-temperature and strong-wind weather, the diffusion factor automatically reduces the safety threshold, while in densely populated areas, the monitoring level is improved through the sensitivity coefficient, achieving spatiotemporal accuracy in risk prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0045] Figure 1 It is a schematic diagram of the operation steps of the present invention;

[0046] Figure 2 It is a schematic diagram of the system module of the present invention;

[0047] Figure 3 It is a schematic diagram of the operation steps for setting the dynamic monitoring interval of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0049] Please refer to Figure 1 - Figure 2, an embodiment of the first aspect of the present invention provides an automatic monitoring and early warning system for gas concentration in a chemical industrial park, including: a threshold compensation module, and a data collection module, a dynamic monitoring module, and a database connected thereto;

[0050] Data collection module: used to obtain the harmful gas concentration and environmental data of each monitoring point; among them, the environmental data includes the number of people around, wind direction, wind speed, and temperature;

[0051] Threshold compensation module: used to analyze the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point, analyze the number of people around to obtain the environmental sensitivity of each monitoring point, and compensate the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point;

[0052] Dynamic monitoring module: used to give early warnings according to the harmful gas concentration and dynamic threshold, set the dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtain the harmful gas concentration at the next time point based on the dynamic monitoring interval;

[0053] Database: used to store the data filled in manually and obtained and analyzed by the system.

[0054] It should be noted that the present invention constructs a more practical evaluation system by coupling and analyzing environmental parameters and social parameters. Compared with the traditional monitoring system that only relies on concentration thresholds, this patent introduces a diffusion factor to quantify the gas diffusion speed and combines an environmental sensitivity index, enabling the early warning threshold to be dynamically adjusted according to meteorological conditions and personnel distribution. For example, in high-temperature and strong-wind weather, the diffusion factor automatically reduces the safety threshold, while in crowded areas, the monitoring level is increased through the sensitivity coefficient to achieve spatio-temporal accuracy in risk prediction.

[0055] In this application, obtaining the harmful gas concentration and environmental data of each monitoring point includes:

[0056] Obtaining the concentration of harmful gases existing at each monitoring point through a harmful gas monitoring device, obtaining the real-time number of people within the gas influence range of each monitoring point through a camera, and marking the real-time number of people as the number of people around; monitoring the wind direction and wind speed of each monitoring point through a wind vane and an anemometer installed at each monitoring point, and obtaining the temperature of each monitoring point through a temperature sensor installed at the monitoring point; among them, the gas influence range is obtained by manual setting.

[0057] It should be noted that the harmful gases include carbon monoxide, sulfur dioxide, nitrogen oxides, hydrogen chloride, hydrogen fluoride, etc.

[0058] In this application, analyzing the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point includes:

[0059] A1: Extract each monitoring point in sequence, and determine whether the wind speed FS of the extracted monitoring point exceeds the maximum value of the standard wind speed range; if so, mark the diffusion factor of the current monitoring point as 0; if not, jump to A2; where the standard wind speed range is obtained by manual setting.

[0060] A2: Obtain the temperature WD of the current monitoring point and the type of harmful gas, extract the temperature change functions WSj of each type from the database, and determine whether the wind speed FS of the extracted monitoring point is less than the minimum value of the standard wind speed range; if so, obtain the diffusion factor KZ of the harmful gas at the current monitoring point based on the formula ;

[0061] if not, obtain the diffusion factor KZ of the harmful gas at the current monitoring point based on the formula ; where j is the type number, n is the number of types of harmful gases at the current monitoring point; FZ is the wind change function, BSF is the minimum value of the standard wind speed range; max() is the maximum value function, BWD is the standard temperature set manually; α is the amplitude adjustment coefficient, and the value range of α is (0, 2]; β1 and β2 are both manually set proportional adjustment coefficients greater than 0, and β1 + β2 = 1, β1 > β2; γ1 and γ2 are both manually set proportional adjustment coefficients greater than 0, and γ1 + γ2 = 1, γ1 > γ2.

[0062] It should be noted that the temperature change function is the influence value of the standard amount of temperature change on the volatilization change of harmful gases; among them, the calculation method of the standard amount of the temperature change function is: the ratio of the difference between the monitoring point temperature and the standard temperature to the standard temperature, such as

[0063] It should be noted that under high temperature conditions, chemicals are more likely to volatilize into the air, resulting in an increase in gas concentration. At this time, even if a low concentration is monitored, it may cause high harm.

[0064] It should be noted that the wind change function is the influence value of the standard amount of wind speed change on the dissipation change of harmful gases; among them, the calculation method of the standard amount of the wind change function is: the ratio of the difference between the monitoring point wind speed and the minimum value of the standard wind speed range to the minimum value of the standard wind speed range, such as

[0065] It should be noted that in the formula: is obtained through transformation. This design is because: when the wind speed FS of the monitoring point is not less than the minimum value of the standard wind speed range, it indicates that the current wind speed has a blowing effect on harmful gases, and the greater the wind speed, the more obvious the blowing effect, resulting in a smaller diffusion factor of harmful gases. Therefore, the wind speed of the monitoring point in the present invention is designed as an independent variable that has a reducing effect on the growth trend of the diffusion factor.

[0066] It should be noted that when the wind speed FS at the monitoring point is less than the minimum value of the standard wind speed range, the blowing effect of the wind speed on harmful gases can be ignored.

[0067] It should be noted that α is the amplitude adjustment coefficient, and α is used to adjust the influence degree of the wind speed FS and the temperature WD on the diffusion factor KZ; when other conditions remain unchanged, the larger the α, the larger the value of the diffusion factor KZ, and the smaller the α, the smaller the value of the diffusion factor KZ.

[0068] It should be noted that both β1 and β2 are proportional adjustment coefficients greater than 0, and β1 > β2 because: what β1 multiplies is the change situation of the wind speed, and what β2 multiplies is the change situation of the temperature; for harmful gases, the influence degree of the wind speed is greater than that of the temperature, so the proportional adjustment coefficient β1 designed in the present invention is greater than the proportional adjustment coefficient β2.

[0069] It should be noted that both γ1 and γ2 are proportional adjustment coefficients greater than 0, and γ1 > γ2 because: what γ1 multiplies is the maximum value of the temperature-affected change function WSj, which can also be understood as the most sensitive value to temperature change, and what γ2 multiplies is the average value of the temperature-affected change function WSj; from the perspective of safety, when analyzing several harmful gases, the focus should be placed on the type with the highest concentration or the most sensitive to temperature change, so the proportional adjustment coefficient γ1 designed in the present invention is greater than the proportional adjustment coefficient γ2.

[0070] In this application, the environmental sensitivity of each monitoring point is obtained by analyzing the number of people around, including:

[0071] Extract each monitoring point in sequence, extract the number of people NR around the monitoring point and the area MJ of the gas influence range, and based on the formula the basic density CD is obtained; where, R1 is the distance from the monitoring point to the nearest evacuation passage, R0 is the artificially set standard distance, and k is the Sigmoid steepness coefficient;

[0072] Based on the formula YD = -∑ s∈B P s ln P s the crowd movement chaos degree YD is obtained; where, s represents the movement state, B = {stationary, slow, fast}, and P s is the probability that s occurs;

[0073] Based on the formula the risk exposure coefficient LS is obtained; where, t is the current time; PVi is the average movement speed of the crowd around the monitoring point at time point i; T is the artificially set time window; CDi represents the basic density at time point i, and the range of i is [t - T, t]; δ is the artificially set speed decay factor, and the value range is (0, 1];

[0074] The weight calculation is performed on the basic density CD, the crowd movement chaos degree YD, and the risk exposure coefficient LS to obtain the environmental sensitivity HD of the current monitoring point.

[0075] It should be noted that when analyzing the environmental sensitivity of the monitoring point in the present invention, based on the analysis of the number of people within the gas influence range, the analysis of the crowd movement speed and the crowd movement chaos degree is also carried out. Because the crowd movement speed and the crowd movement chaos degree will affect the evacuation efficiency, at this time, the alarm threshold needs to be dynamically changed to increase the evacuation time.

[0076] It should be noted that in calculating the crowd movement chaos degree YD, the speeds corresponding to static, slow, and fast are as follows: static state: speed v < 0.3 m / s; slow movement: 0.3 ≤ v < 1.2 m / s; fast movement: v ≥ 1.2 m / s.

[0077] It should be noted that in calculating the crowd movement chaos degree YD, when the crowd movement shows a high degree of order, such as one-way evacuation, there is one speed in the crowd, and only one movement state s occurs at this time. Therefore, the corresponding occurrence probability P s ≈1, and the calculated crowd movement chaos degree YD tends to ln1 = 0;

[0078] When the crowd movement is completely random, such as panic pushing and shoving, if the probabilities of three movement states appearing in the crowd are all 1 / 3, then ∑ s∈B P s The value of is 1, and the calculated crowd movement chaos degree YD tends to ln3 ≈ 1.0986.

[0079] It should be noted that the risk exposure coefficient LS reflects the cumulative exposure risk of the crowd around the monitoring point i within the time window T.

[0080] It should be noted that the time window T is not less than 3 times the system response time.

[0081] It should be noted that the environmental sensitivity HD of the current monitoring point obtained by performing the weight calculation on the basic density CD, the crowd movement chaos degree YD, and the risk exposure coefficient LS is: based on the formula HD = θ1 × CD + θ2 × YD + θ3 × LS, the environmental sensitivity HD of the current monitoring point is obtained; where θ1, θ2, and θ3 are all proportional adjustment coefficients greater than 0, and θ1 + θ2 + θ3 = 1.

[0082] In this application, the monitoring threshold is compensated based on the diffusion factor and the environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point, including:

[0083] Extract each monitoring point in turn, extract the diffusion factor KZ and the environmental sensitivity HD of the monitoring point, based on the formula Obtain the dynamic threshold DZj of the harmful gas numbered j; where CZj is the monitoring threshold of the harmful gas numbered j; both σ1 and σ2 are proportional adjustment coefficients greater than 0, and σ1 + σ2 = 1, σ1 < σ2; BKZ is the manually set standard diffusion factor, and BHD is the manually set standard environmental sensitivity;

[0084] When the dynamic threshold DZj is greater than the maximum value of the standard threshold range, update the dynamic threshold DZj with the maximum value of the standard threshold range; when the dynamic threshold DZj is less than the minimum value of the standard threshold range, update the dynamic threshold DZj with the minimum value of the standard threshold range; where the standard threshold range is obtained through experience.

[0085] It should be noted that both σ1 and σ2 are proportional adjustment coefficients greater than 0, and σ1 < σ2 because: σ1 is multiplied by the diffusion factor, and σ2 is multiplied by the environmental sensitivity; from the perspective of putting people first, the protection of personnel is the top priority, and the environmental sensitivity is analyzed based on personnel, so the proportional adjustment coefficient σ2 designed in the present invention is greater than the proportional adjustment coefficient σ1.

[0086] In this application, early warning is carried out according to the harmful gas concentration and the dynamic threshold, including:

[0087] C1: Extract the concentrations of each harmful gas and the corresponding dynamic threshold DZj at the current monitoring point, and determine whether there is a situation where the concentration of a harmful gas is greater than the corresponding dynamic threshold DZj; if yes, jump to C2; if no, do nothing;

[0088] C2: Mark the value obtained by subtracting the dynamic threshold DZj from each harmful gas concentration as the concentration difference, and determine whether the maximum value among several concentration differences exceeds the difference threshold; if yes, issue warning instruction one; if no, issue warning instruction two; where the difference threshold is obtained through experience;

[0089] C3: Send a warning message according to the warning instruction; where the warning instruction includes warning instruction one and warning instruction two.

[0090] It should be noted that in this embodiment, the unit of the harmful gas concentration is %.

[0091] In this application, a warning message is sent according to the warning instruction, including:

[0092] When warning instruction one is received, issue an alarm that there is a large gas leak and personnel should evacuate the current monitoring point immediately;

[0093] When warning instruction two is received, issue an alarm that there is a gas leak and personnel should evacuate the current monitoring point.

[0094] Please refer to Figure 3, in this application, a dynamic monitoring interval is set based on the change trend of the harmful gas concentration at the monitoring point, including:

[0095] Successively extract the harmful gases present at the current monitoring point, and mark the concentrations of the extracted harmful gases in the most recent w times as ND h , and subtract ND h from ND h-1 , and mark the ratio to ND h-1 as the change value CL at the hth time h ; Obtain the average value PJ of several change values CL h , and obtain the dynamic monitoring interval DJ between the next monitoring and the current monitoring corresponding to the current harmful gas based on the formula DJ = μ / exp(PJ) × BSJ; where h represents the serial number, with a value range of [0, w], and w is obtained through manual setting; μ is the amplitude adjustment coefficient, and the value range of μ is (0, 2];

[0096] When the dynamic monitoring interval is greater than the maximum value of the standard interval range, update the dynamic monitoring interval with the maximum value of the standard interval range; when the dynamic monitoring interval is less than the minimum value of the standard interval range, update the dynamic monitoring interval with the minimum value of the standard interval range; where the standard interval range is obtained through experience.

[0097] It should be noted that the system intelligently adjusts the monitoring frequency through the analysis of the concentration change trend. When it detects that the concentration gradient change rate exceeds the set parameter, the system can compress the sampling interval from the regular time interval to a short time for high-frequency monitoring; conversely, it automatically extends to a long time for low-frequency mode under stable conditions. This elastic scheduling mechanism can greatly improve the utilization rate of hardware resources, effectively reduce the device power consumption and data transmission load while ensuring the monitoring real-time performance, and is especially suitable for large-scale monitoring point deployment scenarios.

[0098] It should be noted that μ is the amplitude adjustment coefficient, and μ is used to indicate the influence degree of the average value PJ of several change values CL h on the dynamic monitoring interval DJ; when other conditions remain unchanged, the larger μ is, the larger the value of the dynamic monitoring interval DJ is, and the smaller μ is, the smaller the value of the dynamic monitoring interval DJ is.

[0099] In this application, the harmful gas concentration at the next time point is obtained based on the dynamic monitoring interval, including:

[0100] Extract the time point of the most recent monitoring of each monitoring point, add the time point and the dynamic monitoring interval corresponding to the monitoring point to obtain the time point of the next monitoring of each monitoring point, and monitor the harmful gas concentration of each monitoring point through the time point of the next monitoring of each monitoring point.

[0101] In the second aspect of the present invention, an embodiment provides an automatic monitoring and early warning method for gas concentration in a chemical industrial park, including the following steps:

[0102] S1: Obtain the harmful gas concentration and environmental data of each monitoring point;

[0103] S2: Analyze the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point, analyze the number of surrounding people to obtain the environmental sensitivity of each monitoring point, and compensate the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point;

[0104] S3: Issue an early warning based on the harmful gas concentration and the dynamic threshold, set a dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtain the harmful gas concentration at the next time point based on the dynamic monitoring interval.

[0105] Some of the data in the above formula are calculated by removing the dimension and taking their numerical values. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0106] Working principle of the present invention:

[0107] The present invention first obtains the harmful gas concentration and environmental data of each monitoring point to provide data support for subsequent analysis; then analyzes the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point, analyzes the number of surrounding people to obtain the environmental sensitivity of each monitoring point, and compensates the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point. This step couples and analyzes environmental parameters and social parameters, enabling the early warning threshold to be dynamically adjusted according to meteorological conditions and personnel distribution; issues an early warning based on the harmful gas concentration and the dynamic threshold, sets a dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtains the harmful gas concentration at the next time point based on the dynamic monitoring interval. This step intelligently adjusts the monitoring frequency through the analysis of the concentration change trend, effectively reducing the device power consumption and data transmission load while ensuring monitoring safety.

[0108] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An automatic monitoring and early warning system for gas concentration in a chemical industrial park, characterized in that, Including: A threshold compensation module, as well as a data collection module and a dynamic monitoring module connected thereto; The data collection module: is used to obtain the harmful gas concentration and environmental data of each monitoring point; among them, the environmental data includes the number of people around, wind direction, wind speed and temperature; The threshold compensation module: is used to analyze the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point, analyze the number of people around to obtain the environmental sensitivity of each monitoring point, and compensate the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point; The dynamic monitoring module: is used to give an alarm according to the harmful gas concentration and the dynamic threshold, set a dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtain the harmful gas concentration at the next time point based on the dynamic monitoring interval.

2. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 1, wherein The obtaining of the harmful gas concentration and environmental data of each monitoring point includes: Obtaining the concentration of harmful gases existing at each monitoring point through a harmful gas monitoring device, obtaining the real-time number of people within the gas influence range of each monitoring point through a camera, and marking the real-time number of people as the number of people around; monitoring the wind direction and wind speed of each monitoring point through a wind vane and an anemometer installed at each monitoring point, and obtaining the temperature of each monitoring point through a temperature sensor installed at the monitoring point.

3. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 1, characterized in that The analyzing of the wind speed and temperature to obtain the diffusion factor of harmful gases at each monitoring point includes: A1: Extract each monitoring point in turn, and judge whether the wind speed FS of the extracted monitoring point exceeds the maximum value of the standard wind speed range; if so, mark the diffusion factor of the current monitoring point as 0; if not, jump to A2; A2: Obtain the temperature WD at the current monitoring point and the types of harmful gases, extract the temperature change functions WSj of each type from the database, and determine whether the extracted wind speed FS at the monitoring point is less than the minimum value of the standard wind speed range; if so, based on the formula Obtain the diffusion factor KZ of the harmful gas at the current monitoring point; No, based on the formula the diffusion factor KZ of the harmful gas at the current monitoring point is obtained; where j is the type number, n is the number of types of harmful gases at the current monitoring point; FZ is the wind change function, BSF is the minimum value of the standard wind speed range; max() is the maximum value function, BWD is the standard temperature; α is the amplitude adjustment coefficient, and the value range of α is (0, 2]; both β1 and β2 are proportional adjustment coefficients greater than 0, and β1 + β2 = 1, β1 > β2; both γ1 and γ2 are proportional adjustment coefficients greater than 0, and γ1 + γ2 = 1, γ1 > γ2.

4. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 1, wherein The analyzing of the number of people around to obtain the environmental sensitivity of each monitoring point includes: Extract each monitoring point in sequence, extract the number of people NR around the monitoring point and the area MJ of the gas influence range, and based on the formula obtain the basic density CD; where R1 is the distance from the monitoring point to the nearest evacuation passage, R0 is the standard distance, and k is the Sigmoid steepness coefficient; Based on the formula YD = -∑ s∈B P s lnP s the crowd movement chaos degree YD is obtained; where s represents the movement state, B = {stationary, slow, fast}, and P s is the probability of s occurring; Based on the formula the risk exposure coefficient LS is obtained; where t is the current time; PVi is the average moving speed of the population around the monitoring point at time point i; T is the time window; CDi represents the base density at time point i, and the range of i is [t - T, t]; δ is the speed decay factor, and its value range is (0, 1]; Performing a weight calculation on the basic density CD, the crowd movement chaos degree YD and the risk exposure coefficient LS to obtain the environmental sensitivity HD of the current monitoring point.

5. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 3, characterized in that, The compensating of the monitoring threshold based on the diffusion factor and environmental sensitivity of each monitoring point to obtain the dynamic threshold of each monitoring point includes: Extract each monitoring point in sequence, extract the diffusion factor KZ and environmental sensitivity HD of the monitoring point, and based on the formula obtain the dynamic threshold DZj of the harmful gas numbered j; where CZj is the monitoring threshold of the harmful gas numbered j; both σ1 and σ2 are proportional adjustment coefficients greater than 0, and σ1 + σ2 = 1, σ1 < σ2; BKZ is the standard diffusion factor, and BHD is the standard environmental sensitivity; When the dynamic threshold DZj is greater than the maximum value of the standard threshold range, update the dynamic threshold DZj with the maximum value of the standard threshold range; when the dynamic threshold DZj is less than the minimum value of the standard threshold range, update the dynamic threshold DZj with the minimum value of the standard threshold range.

6. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 1, characterized in that, The giving of an alarm according to the harmful gas concentration and the dynamic threshold includes: C1: Extract the harmful gas concentration and the corresponding dynamic threshold DZj at the current monitoring point, and judge whether there is a situation where the harmful gas concentration is greater than the corresponding dynamic threshold DZj; if so, jump to C2; if not, do nothing; C2: Mark the value obtained by subtracting the dynamic threshold DZj from each harmful gas concentration as the concentration difference, and judge whether the maximum value among several said concentration differences exceeds the difference threshold; if so, issue a warning instruction one; if not, issue an alarm instruction two; C3: Issue a warning message according to the warning instruction; among them, the warning instruction includes warning instruction one and warning instruction two.

7. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 6, characterized in that, The issuing of a warning message according to the warning instruction includes: When receiving warning instruction one, issue an alarm that there is a large leakage of gas and people should evacuate the current monitoring point immediately; When the early warning instruction two is received, an alarm for the evacuation of personnel due to gas leakage from the current monitoring point is issued.

8. The automatic gas concentration monitoring and early warning system for a chemical industrial park according to claim 1, characterized in that, The dynamic monitoring interval is set based on the change trend of the harmful gas concentration at the monitoring point, including: Extract the harmful gases present at the current monitoring point in sequence, and mark the concentrations of the extracted harmful gases in the most recent w times as ND h , and subtract ND h from ND h-1 , and then mark the ratio to ND h-1 as the change value CL at the h-th time h ; Obtain the average value PJ of several change values CL h , and based on the formula DJ = μ / exp(PJ) × BSJ, obtain the dynamic monitoring interval DJ between the next monitoring and the current monitoring corresponding to the current harmful gas; where, h represents the serial number, and the value range is [0, w]; μ is the amplitude adjustment coefficient, and the value range of μ is (0, 2]; When the dynamic monitoring interval is greater than the maximum value of the standard interval range, the maximum value of the standard interval range is used to update the dynamic monitoring interval; when the dynamic monitoring interval is less than the minimum value of the standard interval range, the minimum value of the standard interval range is used to update the dynamic monitoring interval.

9. The automatic monitoring and early warning system for gas concentration in a chemical industrial park according to claim 8, characterized in that, The obtaining of the harmful gas concentration at the next time point based on the dynamic monitoring interval includes: The time points of the most recent monitoring of each monitoring point are extracted, and the time points corresponding to the dynamic monitoring intervals of the monitoring points are added to obtain the time points of the next monitoring of each monitoring point, and the harmful gas concentrations of each monitoring point are monitored through the time points of the next monitoring of each monitoring point.

10. An automatic monitoring and early warning method for gas concentration in a chemical industrial park, which operates based on the automatic monitoring and early warning system for gas concentration in a chemical industrial park according to any one of claims 1 to 9, characterized in that: S1: Obtain the harmful gas concentrations and environmental data of each monitoring point; S2: Analyze the wind speed and temperature to obtain the diffusion factors of the harmful gases at each monitoring point, analyze the number of people around to obtain the environmental sensitivity of each monitoring point, and compensate the monitoring threshold based on the diffusion factors and environmental sensitivities of each monitoring point to obtain the dynamic threshold of each monitoring point; S3: Conduct early warning according to the harmful gas concentration and the dynamic threshold, set the dynamic monitoring interval based on the change trend of the harmful gas concentration at the monitoring point, and obtain the harmful gas concentration at the next time point based on the dynamic monitoring interval.

Images