Industrial site gas concentration monitoring management system and method

Abstract

The present invention discloses an industrial field gas concentration monitoring management system and method, and relates to the technical field of gas concentration monitoring management. The system of the present invention includes: a data acquisition and processing module, a gas diffusion model establishment module, a gas concentration analysis and abnormality detection module, an abnormality handling and adjustment module, and a result display and notification module; the data acquisition and processing module is responsible for collecting and analyzing the three-dimensional space and gas data of the monitoring area, establishing a three-dimensional model and determining the layout of the monitoring instrument; the gas diffusion model establishment module integrates the gas concentration data and the three-dimensional space information, simulates the gas diffusion, and generates a concentration distribution map; the gas concentration analysis and abnormality detection module compares the actual and ideal gas concentration distribution maps, judges the monitoring point data, and outputs the results; the abnormality handling and adjustment module adjusts the abnormal data and provides prompts; the result display and notification module displays the adjusted data and notifies the abnormal point position coordinates.

Description

Technical Field

[0001] The present invention relates to the field of gas concentration monitoring and management, and in particular to an industrial site gas concentration monitoring and management system and method. Background Art

[0002] In industrial field environments, various production processes are often accompanied by the generation and emission of a variety of gases, including but not limited to toxic and harmful gases (such as carbon monoxide, hydrogen sulfide, ammonia, etc.), flammable and explosive gases (such as methane, hydrogen, etc.) and gases required for environmental control (such as oxygen, ammonia, etc.). The concentration of these gases is directly related to production safety, personnel health and environmental protection. Therefore, accurate and real-time monitoring of gas concentrations at industrial sites is an important prerequisite for ensuring smooth production, protecting personnel life safety and meeting environmental protection regulations.

[0003] In the traditional industrial on-site gas concentration monitoring process, professionals usually carry portable gas detection instruments to the monitoring area for manual sampling; then, these gas samples will be sent to the laboratory, and the chemical composition and concentration will be detected by analytical instruments; the test results will eventually generate a report to evaluate the safety of the production environment and formulate corresponding prevention and control measures. However, this process is not only time-consuming and labor-intensive, but also has a large time delay and human error risk. In order to improve the real-time and efficiency of monitoring, the existing technology installs monitoring instruments in the monitoring area to replace manual sampling. Although this method improves the real-time and efficiency of monitoring to a certain extent, it still has some shortcomings. Specifically, the existing technology usually only judges whether the gas concentration value of the industrial site meets the standard based on the gas concentration value obtained by the monitoring instrument installed in the monitoring area, but often ignores the accuracy of the gas concentration value collected by the monitoring instrument; in addition, the existing technology only provides a reminder that the gas concentration value in the monitoring area exceeds the threshold, and cannot provide the diffusion range of the gas in the monitoring area, so it cannot provide a comprehensive safety assessment for the production environment of the industrial site. Summary of the invention

[0004] The object of the present invention is to provide an industrial on-site gas concentration monitoring and management system and method to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A method for monitoring and managing gas concentration at an industrial site, the method comprising the following steps:

[0007] Step S100. Collect the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, analyze the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, so as to determine the location coordinates of the monitoring point of the monitoring instrument, and install the corresponding monitoring instrument according to the location coordinates of the monitoring point;

[0008] Step S200. Obtain gas concentration data of each monitoring point in the monitoring area, and establish a gas diffusion model by combining the gas concentration data and the three-dimensional space data; obtain the range and trend of gas diffusion according to the gas diffusion model, thereby generating an actual gas concentration distribution map and an ideal gas concentration distribution map;

[0009] Step S300. Compare and analyze the actual gas concentration distribution map and the ideal gas concentration distribution map, analyze the difference between the two, and obtain the corresponding difference index; judge whether there is an abnormality in the gas monitoring data of each monitoring point in the monitoring area according to the difference index, and output the corresponding judgment result;

[0010] Step S400. Based on the judgment result of whether there is an abnormality in the gas monitoring data of each monitoring point in the monitoring area, adjust the actual gas concentration distribution map with abnormal gas monitoring data in combination with the corresponding ideal gas concentration distribution map; combine the actual gas concentration distribution map and the corresponding gas concentration threshold to output the corresponding prompt information.

[0011] Furthermore, step S100 includes:

[0012] S101. Collect three-dimensional spatial data of the monitoring area, process the acquired three-dimensional spatial data accordingly, thereby generating a three-dimensional model of the monitoring area, and establish a world coordinate on the three-dimensional model of the monitoring area; obtain the minimum monitoring area volume V0 of the monitoring instrument corresponding to the monitoring area, and the total volume V of the monitoring area, and calculate the number of monitoring instruments to be determined N in the monitoring area according to the total volume V of the monitoring area and the minimum monitoring area volume V0 of the monitoring instrument, and N = [V / V0], where [V / V0] represents the value obtained by dividing the total volume V of the monitoring area by the minimum monitoring area volume V0 of the monitoring instrument, and rounding up;

[0013] S102. According to the pending number N of monitoring instruments in the monitoring area, the three-dimensional model of the monitoring area is evenly divided into N sub-areas, and for each sub-area, the centroid of the corresponding sub-area is obtained, and the centroid of the sub-area is used as the pending position of the monitoring instrument, and the coordinates of the pending position of the monitoring instrument are obtained according to the three-dimensional model of the monitoring area;

[0014] S103. Collect the data information of the gases to be monitored in the monitoring area, and optimize and adjust the pending number N and the pending position coordinates of the monitoring instruments according to the data information of the gases to be detected, so as to obtain the number N1 and position coordinates of the monitoring instruments, and use the adjusted position coordinates of the monitoring instruments as the monitoring points of the monitoring area, so as to install the corresponding monitoring instruments according to the position coordinates of the monitoring points.

[0015] Furthermore, the specific analysis process of obtaining the undetermined position coordinates of the monitoring instrument according to the three-dimensional model of the monitoring area in S102 is:

[0016] The three-dimensional spatial model of the monitoring area is divided into N uniform sub-areas, and these sub-areas are realized by uniformly dividing the entire monitoring area into grids in each direction. For the number of divisions k in each direction, the corresponding calculation formula is: k = [N^(1 / 3)];

[0017] The three-dimensional spatial model of the monitoring area is divided evenly k times in the x, y and z directions respectively, so that the monitoring area is divided into k×k×k small cube grids, and each grid corresponds to a sub-area; for each sub-area, the corresponding center of mass is calculated, and the coordinates of the center of mass are used as the undetermined position coordinates of the corresponding monitoring instrument.

[0018] Furthermore, in S103, the pending number N and the pending position coordinates of the monitoring instruments are optimized and adjusted accordingly according to the data information of the gas to be detected. The specific analysis process is as follows:

[0019] According to the data information of the gas to be detected, the gas flow path within the selected time is obtained; the coordinates of the undetermined position of the monitoring instrument are defined as the gas source position in turn, and the sub-areas of the monitoring area where the maximum gas concentration is located except the gas source are obtained according to the gas flow path, and the number m of the maximum gas concentration in the sub-areas of all the monitoring areas is counted, and the risk coefficient A of each sub-area is calculated, and A=mi / (Σ i∈[1,N] mi), where mi represents the number m of the maximum gas concentration in the i-th sub-region, and i is a positive integer from 1 to N;

[0020] The risk coefficient A of all sub-areas is obtained and normalized, and the corresponding risk coefficient range is obtained according to the set threshold parameter a; for sub-areas where the risk coefficient A belongs to the interval [0, a), no additional monitoring instruments are needed; for sub-areas where the risk coefficient A belongs to the interval [a, 1], a monitoring instrument is added to determine the number N1 of monitoring instruments in the monitoring area, and for sub-areas where monitoring instruments are added, the location coordinates of the corresponding monitoring instruments are evenly distributed.

[0021] Further, step S200 includes:

[0022] S201. Obtain gas concentration data from each monitoring point, the gas concentration data including a timestamp, a gas type, and a corresponding concentration value; align the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates corresponding to the monitoring point in the three-dimensional model; according to the nature of gas diffusion, the relevant personnel select a corresponding model, combine the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area, and thus establish a gas diffusion model;

[0023] Due to the diversity of industrial phenomena, the corresponding gas diffusion models may be different. According to the type of gas, diffusion environment, and pollution source characteristics, the commonly used gas diffusion models include:

[0024] Gaussian model: suitable for simple, uniform gas diffusion situations, usually used to describe gas diffusion from ground sources;

[0025] CFD model (Computational Fluid Dynamics): Applicable to complex flow environments, such as scenes with obstacles or multiple airflow interactions, providing more sophisticated diffusion simulation;

[0026] Fick's diffusion law: applicable to describing the diffusion process of gas in a static or low-speed flow environment;

[0027] Lagrangian model: used to simulate the behavior of gases in dynamic environments, especially when there are changes in airflow.

[0028] Therefore, the selection of an appropriate model needs to take into account the actual conditions of gas diffusion and the required accuracy.

[0029] S202. Based on the gas diffusion model, simulate the diffusion process of the monitored gas in the three-dimensional space within the monitoring area to obtain the range and trend of the gas diffusion; visualize the simulation results to generate an ideal gas concentration distribution map; generate a corresponding gas concentration distribution map based on the gas concentration data of the monitoring point and the three-dimensional space data of the detection area.

[0030] Furthermore, step S300 includes:

[0031] S301. Obtain the actual gas concentration distribution map and the ideal gas concentration distribution map once every selected time period, align the actual gas concentration distribution map and the ideal gas concentration distribution map in the same coordinate system, calculate the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point, and E = |Ci-Ci_1|, where Ci represents the actual gas concentration of the i-th monitoring point, and Ci_1 represents the ideal gas concentration of the i-th monitoring point;

[0032] S302. Compare the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point with the set difference index threshold E0; if the difference index E is less than or equal to the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be normal; if the difference index E is greater than the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be abnormal.

[0033] Furthermore, step S400 includes:

[0034] S401. Obtain the actual gas concentration distribution diagram with abnormal gas monitoring data and the corresponding ideal gas concentration distribution diagram, align the coordinate systems of the two, and draw the two in the same coordinate plane, mark the monitoring points with abnormal gas monitoring data on the actual gas concentration distribution diagram with abnormal gas monitoring data, obtain the difference index E corresponding to the monitoring points other than the marked ones, and form a difference index set B;

[0035] S402. Based on each element in the difference index set B, analyze whether there is a linear relationship; if there is a linear relationship, express the corresponding linear relationship as: Y(i)=C0_i, and according to the linear relationship Y(i)=C0_i, use C0_i as the approximate gas concentration of the corresponding monitoring point; if there is no linear relationship, calculate the average value of the corresponding value of each element in the difference index set B, and use the calculated average value as the approximate gas concentration of the corresponding monitoring point; adjust the actual gas concentration distribution map accordingly according to the approximate gas concentration, so as to obtain the adjusted actual gas concentration distribution map;

[0036] S403. For the actual gas concentration distribution diagram without abnormal gas monitoring data and the adjusted actual gas concentration distribution diagram, compare the actual gas concentration Ci of the corresponding monitoring point with the corresponding gas concentration threshold C. If the actual gas concentration Ci is less than or equal to the gas concentration threshold C, no notification is made; if the actual gas concentration Ci is greater than the gas concentration threshold C, the position coordinates of the current monitoring point are output to the relevant personnel, and the relevant personnel perform corresponding processing.

[0037] An industrial field gas concentration monitoring and management system, the system includes: a data acquisition and processing module, a gas diffusion model building module, a gas concentration analysis and anomaly detection module, an anomaly processing and adjustment module, and a result display and notification module;

[0038] The data acquisition and processing module collects the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, processes and analyzes the three-dimensional spatial data, generates a three-dimensional model of the monitoring area, and determines the number and location coordinates of the monitoring instruments;

[0039] The gas diffusion model building module obtains the gas concentration data of each monitoring point and aligns it with the three-dimensional space data. Based on the gas diffusion model, it simulates the diffusion process of gas in three-dimensional space and generates actual gas concentration distribution diagrams and ideal gas concentration distribution diagrams.

[0040] The gas concentration analysis and anomaly detection module compares the actual gas concentration distribution map with the ideal gas concentration distribution map, calculates the difference index of each monitoring point, and compares it with the set threshold value to determine whether the gas concentration data of each monitoring point is abnormal, and outputs the judgment result;

[0041] The abnormality processing and adjustment module adjusts the actual gas concentration distribution map with abnormalities, and outputs corresponding prompt information based on the adjusted data and gas concentration threshold;

[0042] The result display and notification module displays the actual gas concentration distribution map after adjustment, compares the actual gas concentration with the gas concentration threshold, performs notification and processing, and outputs the location coordinates of the abnormal monitoring point for further processing by relevant personnel.

[0043] Further, the data acquisition and processing module includes a data acquisition unit and a data processing unit;

[0044] The data acquisition unit is responsible for collecting the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored; the data processing unit processes and cleans the collected three-dimensional spatial data and gas data information, generates a three-dimensional model of the monitoring area and determines the location coordinates of the monitoring points;

[0045] The gas diffusion model building module includes a gas concentration data alignment unit and a gas diffusion simulation unit;

[0046] The gas concentration data alignment unit aligns the gas concentration data obtained from the monitoring point with the three-dimensional space data to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates in the three-dimensional model; the gas diffusion simulation unit simulates the diffusion process of gas in the monitoring area based on the gas diffusion model to generate an ideal gas concentration distribution map and an actual gas concentration distribution map.

[0047] Further, the gas concentration analysis and anomaly detection module includes a gas concentration comparison unit and an anomaly detection unit;

[0048] The gas concentration comparison unit compares the actual gas concentration distribution map with the ideal gas concentration distribution map, and calculates the difference index of each monitoring point; the anomaly detection unit determines whether there is an abnormality in the gas monitoring data based on the difference index and the difference index threshold, and marks and records the abnormal data;

[0049] The exception processing and adjustment module includes an exception data adjustment unit and a processing result generation unit;

[0050] The abnormal data adjustment unit makes corresponding adjustments based on the actual gas concentration distribution map and the ideal gas concentration distribution map with abnormalities; the processing result generation unit determines whether it is necessary to output prompt information to relevant personnel for processing based on the adjusted actual gas concentration distribution map and the gas concentration threshold.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: by directly installing monitoring instruments in the monitoring area, real-time monitoring of gas concentration is achieved, avoiding the time delay of manual sampling and laboratory testing in traditional methods; the layout of monitoring instruments is optimized in combination with three-dimensional spatial data, ensuring the comprehensiveness and accuracy of monitoring data, and reducing monitoring blind spots caused by irrational distribution of monitoring instruments; a gas diffusion model is established, which can simulate the diffusion range and trend of gas, generate actual and ideal gas concentration distribution maps, and provide comprehensive data support for safety assessment of industrial sites; by comparing the actual and ideal gas concentration distribution maps, anomalies in monitoring data can be discovered in time, improving the sensitivity and accuracy of safety warnings; the pertinence and effectiveness of anomaly handling are enhanced. For points with abnormal monitoring data, the actual gas concentration distribution map is adjusted according to difference indicators and linear relationship analysis, reducing the possibility of false alarms and missed alarms, and in combination with gas concentration thresholds, monitoring points that exceed the threshold are notified in time, ensuring that relevant personnel can respond quickly and take corresponding treatment measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 It is a schematic diagram of a module of an industrial field gas concentration monitoring and management system of the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] See also Figure 1 , the present invention provides a technical solution:

[0056] An industrial field gas concentration monitoring and management system, the system includes: a data acquisition and processing module, a gas diffusion model building module, a gas concentration analysis and anomaly detection module, an anomaly processing and adjustment module, and a result display and notification module;

[0057] The data acquisition and processing module collects the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, processes and analyzes the three-dimensional spatial data, generates a three-dimensional model of the monitoring area, and determines the number and location coordinates of the monitoring instruments;

[0058] The gas diffusion model building module obtains the gas concentration data of each monitoring point and aligns it with the three-dimensional space data. Based on the gas diffusion model, it simulates the diffusion process of gas in three-dimensional space and generates actual gas concentration distribution diagrams and ideal gas concentration distribution diagrams.

[0059] The gas concentration analysis and anomaly detection module compares the actual gas concentration distribution map with the ideal gas concentration distribution map, calculates the difference index of each monitoring point, and compares it with the set threshold value to determine whether the gas concentration data of each monitoring point is abnormal, and outputs the judgment result;

[0060] The abnormality processing and adjustment module adjusts the actual gas concentration distribution map with abnormalities, and outputs corresponding prompt information based on the adjusted data and gas concentration threshold;

[0061] The result display and notification module displays the actual gas concentration distribution map after adjustment, compares the actual gas concentration with the gas concentration threshold, performs notification and processing, and outputs the location coordinates of the abnormal monitoring point for further processing by relevant personnel.

[0062] The data acquisition and processing module includes a data acquisition unit and a data processing unit;

[0063] The data acquisition unit is responsible for collecting the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored; the data processing unit processes and cleans the collected three-dimensional spatial data and gas data information, generates a three-dimensional model of the monitoring area and determines the location coordinates of the monitoring points;

[0064] The gas diffusion model building module includes a gas concentration data alignment unit and a gas diffusion simulation unit;

[0065] The gas concentration data alignment unit aligns the gas concentration data obtained from the monitoring point with the three-dimensional space data to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates in the three-dimensional model; the gas diffusion simulation unit simulates the diffusion process of gas in the monitoring area based on the gas diffusion model to generate an ideal gas concentration distribution map and an actual gas concentration distribution map.

[0066] The gas concentration analysis and anomaly detection module includes a gas concentration comparison unit and an anomaly detection unit;

[0067] The gas concentration comparison unit compares the actual gas concentration distribution map with the ideal gas concentration distribution map, and calculates the difference index of each monitoring point; the anomaly detection unit determines whether there is an abnormality in the gas monitoring data based on the difference index and the difference index threshold, and marks and records the abnormal data;

[0068] The exception processing and adjustment module includes an exception data adjustment unit and a processing result generation unit;

[0069] The abnormal data adjustment unit makes corresponding adjustments based on the actual gas concentration distribution map and the ideal gas concentration distribution map with abnormalities; the processing result generation unit determines whether it is necessary to output prompt information to relevant personnel for processing based on the adjusted actual gas concentration distribution map and the gas concentration threshold.

[0070] A method for monitoring and managing gas concentration at an industrial site, the method comprising the following steps:

[0071] Step S100. Collect the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, analyze the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, so as to determine the location coordinates of the monitoring point of the monitoring instrument, and install the corresponding monitoring instrument according to the location coordinates of the monitoring point;

[0072] Step S200. Obtain gas concentration data of each monitoring point in the monitoring area, and establish a gas diffusion model by combining the gas concentration data and the three-dimensional space data; obtain the range and trend of gas diffusion according to the gas diffusion model, thereby generating an actual gas concentration distribution map and an ideal gas concentration distribution map;

[0073] Step S300. Compare and analyze the actual gas concentration distribution map and the ideal gas concentration distribution map, analyze the difference between the two, and obtain the corresponding difference index; judge whether there is an abnormality in the gas monitoring data of each monitoring point in the monitoring area according to the difference index, and output the corresponding judgment result;

[0074] Step S400. Based on the judgment result of whether there is an abnormality in the gas monitoring data of each monitoring point in the monitoring area, adjust the actual gas concentration distribution map with abnormal gas monitoring data in combination with the corresponding ideal gas concentration distribution map; combine the actual gas concentration distribution map and the corresponding gas concentration threshold to output the corresponding prompt information.

[0075] Step S100 includes:

[0076] S101. Collect three-dimensional spatial data of the monitoring area, process the acquired three-dimensional spatial data accordingly, thereby generating a three-dimensional model of the monitoring area, and establish a world coordinate on the three-dimensional model of the monitoring area; obtain the minimum monitoring area volume V0 of the monitoring instrument corresponding to the monitoring area, and the total volume V of the monitoring area, and calculate the number of monitoring instruments to be determined N in the monitoring area according to the total volume V of the monitoring area and the minimum monitoring area volume V0 of the monitoring instrument, and N = [V / V0], where [V / V0] represents the value obtained by dividing the total volume V of the monitoring area by the minimum monitoring area volume V0 of the monitoring instrument, and rounding up;

[0077] S102. According to the pending number N of monitoring instruments in the monitoring area, the three-dimensional model of the monitoring area is evenly divided into N sub-areas, and for each sub-area, the centroid of the corresponding sub-area is obtained, and the centroid of the sub-area is used as the pending position of the monitoring instrument, and the coordinates of the pending position of the monitoring instrument are obtained according to the three-dimensional model of the monitoring area;

[0078] S103. Collect the data information of the gases to be monitored in the monitoring area, and optimize and adjust the pending number N and the pending position coordinates of the monitoring instruments according to the data information of the gases to be detected, so as to obtain the number N1 and position coordinates of the monitoring instruments, and use the adjusted position coordinates of the monitoring instruments as the monitoring points of the monitoring area, so as to install the corresponding monitoring instruments according to the position coordinates of the monitoring points.

[0079] The specific analysis process of obtaining the undetermined position coordinates of the monitoring instrument according to the three-dimensional model of the monitoring area in S102 is as follows:

[0080] The three-dimensional spatial model of the monitoring area is divided into N uniform sub-areas, and these sub-areas are realized by uniformly dividing the entire monitoring area into grids in each direction. For the number of divisions k in each direction, the corresponding calculation formula is: k = [N^(1 / 3)];

[0081] The three-dimensional spatial model of the monitoring area is divided evenly k times in the x, y and z directions respectively, so that the monitoring area is divided into k×k×k small cube grids, and each grid corresponds to a sub-area; for each sub-area, the corresponding center of mass is calculated, and the coordinates of the center of mass are used as the undetermined position coordinates of the corresponding monitoring instrument.

[0082] In this embodiment, it is assumed that there is a three-dimensional monitoring area, whose spatial model is a cuboid with dimensions of Lx×Ly×Lz, where Lx=30m, Ly=40m, and Lz=20m. This area is divided into uniform sub-areas to determine the centroid of each sub-area and use it as the coordinates of the pending position of the monitoring instrument. Assuming that the number of pending monitoring instruments in the monitoring area is N=64, calculate the number of divisions k=4 in each direction;

[0083] In the x direction, the division points of the cuboid are: 0, 7.5, 15, 22.5, 30;

[0084] In the y direction, the division points of the cuboid are: 0, 10, 20, 30, 40;

[0085] In the z direction, the division points of the cuboid are: 0, 5, 10, 15, 20.

[0086] The boundary coordinates of the sub-region can be defined by every two adjacent division points, and the centroid is the average of these boundary coordinates. For example, the boundary coordinates of the sub-region between the first and second division points in the x direction are x = [0,7.5]; the boundary coordinates of the sub-region between the first and second division points in the y direction are y = [0,10]; the boundary coordinates of the sub-region between the first and second division points in the z direction are z = [0,5]; then the corresponding sub-region centroid coordinates are (3.75, 5, 2.5), and so on, until the centroid coordinates of all sub-regions are calculated.

[0087] In S103, the pending number N and the pending position coordinates of the monitoring instruments are optimized and adjusted accordingly according to the data information of the gas to be detected. The specific analysis process is as follows:

[0088] According to the data information of the gas to be detected, the gas flow path within the selected time is obtained; the coordinates of the undetermined position of the monitoring instrument are defined as the gas source position in turn, and the sub-areas of the monitoring area where the maximum gas concentration is located except the gas source are obtained according to the gas flow path, and the number m of the maximum gas concentration in the sub-areas of all the monitoring areas is counted, and the risk coefficient A of each sub-area is calculated, and A=mi / (Σ i∈[1,N] mi), where mi represents the number m of the maximum gas concentration in the i-th sub-region, and i is a positive integer from 1 to N;

[0089] The risk coefficient A of all sub-areas is obtained and normalized, and the corresponding risk coefficient range is obtained according to the set threshold parameter a; for sub-areas where the risk coefficient A belongs to the interval [0, a), no additional monitoring instruments are needed; for sub-areas where the risk coefficient A belongs to the interval [a, 1], a monitoring instrument is added to determine the number N1 of monitoring instruments in the monitoring area, and for sub-areas where monitoring instruments are added, the location coordinates of the corresponding monitoring instruments are evenly distributed.

[0090] Step S200 includes:

[0091] S201. Obtain gas concentration data from each monitoring point, the gas concentration data including a timestamp, a gas type, and a corresponding concentration value; align the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates corresponding to the monitoring point in the three-dimensional model; according to the nature of gas diffusion, the relevant personnel select a corresponding model, combine the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area, and thus establish a gas diffusion model;

[0092] Due to the diversity of industrial phenomena, the corresponding gas diffusion models may be different. According to the type of gas, diffusion environment, and pollution source characteristics, the commonly used gas diffusion models include:

[0093] Gaussian model: Applicable to simple, uniform gas diffusion situations, usually used to describe gas diffusion from ground sources;

[0094] CFD model (Computational Fluid Dynamics): Applicable to complex flow environments, such as scenes with obstacles or multiple airflow interactions, providing more sophisticated diffusion simulation;

[0095] Fick's diffusion law: applicable to describing the diffusion process of gas in a static or low-speed flow environment;

[0096] Lagrangian model: used to simulate the behavior of gases in dynamic environments, especially when there are changes in airflow.

[0097] Therefore, the selection of an appropriate model needs to take into account the actual conditions of gas diffusion and the required accuracy.

[0098] S202. Based on the gas diffusion model, simulate the diffusion process of the monitored gas in the three-dimensional space within the monitoring area to obtain the range and trend of the gas diffusion; visualize the simulation results to generate an ideal gas concentration distribution map; generate a corresponding gas concentration distribution map based on the gas concentration data of the monitoring point and the three-dimensional space data of the detection area.

[0099] Step S300 includes:

[0100] S301. Obtain the actual gas concentration distribution map and the ideal gas concentration distribution map once every selected time period, align the actual gas concentration distribution map and the ideal gas concentration distribution map in the same coordinate system, calculate the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point, and E = |Ci-Ci_1|, where Ci represents the actual gas concentration of the i-th monitoring point, and Ci_1 represents the ideal gas concentration of the i-th monitoring point;

[0101] S302. Compare the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point with the set difference index threshold E0; if the difference index E is less than or equal to the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be normal; if the difference index E is greater than the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be abnormal.

[0102] Step S400 includes:

[0103] S401. Obtain the actual gas concentration distribution diagram with abnormal gas monitoring data and the corresponding ideal gas concentration distribution diagram, align the coordinate systems of the two, and draw the two in the same coordinate plane, mark the monitoring points with abnormal gas monitoring data on the actual gas concentration distribution diagram with abnormal gas monitoring data, obtain the difference index E corresponding to the monitoring points other than the marked ones, and form a difference index set B;

[0104] S402. Based on each element in the difference index set B, analyze whether there is a linear relationship; if there is a linear relationship, express the corresponding linear relationship as: Y(i)=C0_i, and according to the linear relationship Y(i)=C0_i, use C0_i as the approximate gas concentration of the corresponding monitoring point; if there is no linear relationship, calculate the average value of the corresponding value of each element in the difference index set B, and use the calculated average value as the approximate gas concentration of the corresponding monitoring point; adjust the actual gas concentration distribution map accordingly according to the approximate gas concentration, so as to obtain the adjusted actual gas concentration distribution map;

[0105] S403. For the actual gas concentration distribution diagram without abnormal gas monitoring data and the adjusted actual gas concentration distribution diagram, compare the actual gas concentration Ci of the corresponding monitoring point with the corresponding gas concentration threshold C. If the actual gas concentration Ci is less than or equal to the gas concentration threshold C, no notification is made; if the actual gas concentration Ci is greater than the gas concentration threshold C, the position coordinates of the current monitoring point are output to the relevant personnel, and the relevant personnel perform corresponding processing.

[0106] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0107] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for monitoring and managing gas concentration at an industrial site, characterized in that: The method comprises the following steps: Step S100. Collect the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, analyze the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, so as to determine the location coordinates of the monitoring point of the monitoring instrument, and install the corresponding monitoring instrument according to the location coordinates of the monitoring point; Step S200. Obtain gas concentration data of each monitoring point in the monitoring area, and establish a gas diffusion model by combining the gas concentration data and the three-dimensional space data; obtain the range and trend of gas diffusion according to the gas diffusion model, thereby generating an actual gas concentration distribution map and an ideal gas concentration distribution map; Step S300. Compare and analyze the actual gas concentration distribution map and the ideal gas concentration distribution map, analyze the difference between the two, and obtain the corresponding difference index; judge whether there is an abnormality in the gas monitoring data of each monitoring point in the monitoring area according to the difference index, and output the corresponding judgment result; Step S400. Based on the judgment result of whether there is abnormality in the gas monitoring data of each monitoring point in the monitoring area, the actual gas concentration distribution map with abnormal gas monitoring data is adjusted in combination with the corresponding ideal gas concentration distribution map; in combination with the actual gas concentration distribution map and the corresponding gas concentration threshold, the corresponding prompt information is output; The step S100 includes: S101. Collect three-dimensional spatial data of the monitoring area, process the acquired three-dimensional spatial data accordingly, thereby generating a three-dimensional model of the monitoring area, and establish a world coordinate on the three-dimensional model of the monitoring area; obtain the minimum monitoring area volume V0 of the monitoring instrument corresponding to the monitoring area, and the total volume V of the monitoring area, and calculate the number of monitoring instruments to be determined N in the monitoring area according to the total volume V of the monitoring area and the minimum monitoring area volume V0 of the monitoring instrument, and N = [V / V0], where [V / V0] represents the value obtained by dividing the total volume V of the monitoring area by the minimum monitoring area volume V0 of the monitoring instrument, and rounding up; S102. According to the pending number N of monitoring instruments in the monitoring area, the three-dimensional model of the monitoring area is evenly divided into N sub-areas, and for each sub-area, the centroid of the corresponding sub-area is obtained, and the centroid of the sub-area is used as the pending position of the monitoring instrument, and the coordinates of the pending position of the monitoring instrument are obtained according to the three-dimensional model of the monitoring area; S103. Collect the data information of the gas to be monitored in the monitoring area, and optimize and adjust the pending number N and the pending position coordinates of the monitoring instruments according to the data information of the gas to be detected, so as to obtain the number N1 and the position coordinates of the monitoring instruments, and use the adjusted position coordinates of the monitoring instruments as the monitoring points of the monitoring area, so as to install the corresponding monitoring instruments according to the position coordinates of the monitoring points; In S103, the pending number N and the pending position coordinates of the monitoring instruments are optimized and adjusted accordingly according to the data information of the gas to be detected. The specific analysis process is as follows: According to the data information of the gas to be detected, the gas flow path within the selected time is obtained; the coordinates of the undetermined position of the monitoring instrument are defined in turn as the gas source position, and the sub-areas of the monitoring area where the maximum gas concentration is located except the gas source are obtained according to the gas flow path, and the number m of the maximum gas concentration existing in the sub-areas of all the monitoring areas is counted, and the risk coefficient A of each sub-area is calculated, and A=mi / (Σi∈[1,N]mi), where mi represents the number m of the maximum gas concentration in the i-th sub-area, and i is a positive integer from 1 to N; The risk coefficient A of all sub-areas is obtained and normalized, and the corresponding risk coefficient range is obtained according to the set threshold parameter a; for sub-areas where the risk coefficient A belongs to the interval [0, a), no additional monitoring instruments are needed; for sub-areas where the risk coefficient A belongs to the interval [a, 1], a monitoring instrument is added to determine the number N1 of monitoring instruments in the monitoring area, and for sub-areas where monitoring instruments are added, the location coordinates of the corresponding monitoring instruments are evenly distributed.

2. The industrial on-site gas concentration monitoring and management method according to claim 1 is characterized in that: The specific analysis process of obtaining the undetermined position coordinates of the monitoring instrument according to the three-dimensional model of the monitoring area in S102 is as follows: The three-dimensional spatial model of the monitoring area is divided into N uniform sub-areas, and these sub-areas are realized by uniformly dividing the entire monitoring area into grids in each direction. For the number of divisions k in each direction, the corresponding calculation formula is: k = [N^(1 / 3)]; The three-dimensional spatial model of the monitoring area is divided evenly k times in the x, y and z directions respectively, so that the monitoring area is divided into k×k×k small cube grids, and each grid corresponds to a sub-area; for each sub-area, the corresponding center of mass is calculated, and the coordinates of the center of mass are used as the undetermined position coordinates of the corresponding monitoring instrument.

3. The industrial on-site gas concentration monitoring and management method according to claim 1 is characterized in that: The step S200 includes: S201. Obtain gas concentration data from each monitoring point, the gas concentration data including a timestamp, a gas type, and a corresponding concentration value; align the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates corresponding to the monitoring point in the three-dimensional model; according to the nature of gas diffusion, the relevant personnel select a corresponding model, combine the gas concentration data of the monitoring point with the three-dimensional spatial data of the detection area, and thus establish a gas diffusion model; S202. Based on the gas diffusion model, simulate the diffusion process of the monitored gas in the three-dimensional space within the monitoring area to obtain the range and trend of the gas diffusion; visualize the simulation results to generate an ideal gas concentration distribution map; generate a corresponding gas concentration distribution map based on the gas concentration data of the monitoring point and the three-dimensional space data of the detection area.

4. The industrial on-site gas concentration monitoring and management method according to claim 1 is characterized in that: The step S300 includes: S301. Obtain the actual gas concentration distribution map and the ideal gas concentration distribution map once every selected time period, align the actual gas concentration distribution map and the ideal gas concentration distribution map in the same coordinate system, calculate the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point, and E = |Ci-Ci_1|, where Ci represents the actual gas concentration of the i-th monitoring point, and Ci_1 represents the ideal gas concentration of the i-th monitoring point; S302. Compare the difference index E between the actual gas concentration and the ideal gas concentration of each monitoring point with the set difference index threshold E0; if the difference index E is less than or equal to the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be normal; if the difference index E is greater than the difference index threshold E0, the gas monitoring data of the current monitoring point is judged to be abnormal.

5. The industrial on-site gas concentration monitoring and management method according to claim 4 is characterized in that: The step S400 includes: S401. Obtain the actual gas concentration distribution diagram with abnormal gas monitoring data and the corresponding ideal gas concentration distribution diagram, align the coordinate systems of the two, and draw the two in the same coordinate plane, mark the monitoring points with abnormal gas monitoring data on the actual gas concentration distribution diagram with abnormal gas monitoring data, obtain the difference index E corresponding to the monitoring points other than the marked ones, and form a difference index set B; S402. Based on each element in the difference index set B, analyze whether there is a linear relationship; if there is a linear relationship, express the corresponding linear relationship as: Y(i)=C0_i, and according to the linear relationship Y(i)=C0_i, use C0_i as the approximate gas concentration of the corresponding monitoring point; if there is no linear relationship, calculate the average value of the corresponding value of each element in the difference index set B, and use the calculated average value as the approximate gas concentration of the corresponding monitoring point; adjust the actual gas concentration distribution map accordingly according to the approximate gas concentration, so as to obtain the adjusted actual gas concentration distribution map; S403. For the actual gas concentration distribution diagram without abnormal gas monitoring data and the adjusted actual gas concentration distribution diagram, compare the actual gas concentration Ci of the corresponding monitoring point with the corresponding gas concentration threshold C. If the actual gas concentration Ci is less than or equal to the gas concentration threshold C, no notification is made; if the actual gas concentration Ci is greater than the gas concentration threshold C, the position coordinates of the current monitoring point are output to the relevant personnel, and the relevant personnel perform corresponding processing.

6. An industrial site gas concentration monitoring and management system, applied to an industrial site gas concentration monitoring and management method according to any one of claims 1 to 5, characterized in that: The system includes: a data acquisition and processing module, a gas diffusion model building module, a gas concentration analysis and anomaly detection module, an anomaly processing and adjustment module, and a result display and notification module; The data acquisition and processing module collects the three-dimensional spatial data of the monitoring area and the data information of the gas to be monitored, processes and analyzes the three-dimensional spatial data, generates a three-dimensional model of the monitoring area, and determines the number and position coordinates of the monitoring instruments; The gas diffusion model building module obtains the gas concentration data of each monitoring point and aligns it with the three-dimensional space data, simulates the diffusion process of the gas in the three-dimensional space based on the gas diffusion model, and generates an actual gas concentration distribution map and an ideal gas concentration distribution map; The gas concentration analysis and anomaly detection module compares the actual gas concentration distribution map with the ideal gas concentration distribution map, calculates the difference index of each monitoring point, and compares it with the set threshold value to determine whether the gas concentration data of each monitoring point is abnormal, and outputs the judgment result; The abnormality processing and adjustment module adjusts the actual gas concentration distribution diagram with abnormalities, and outputs corresponding prompt information based on the adjusted data and the gas concentration threshold; The result display and notification module displays the adjusted actual gas concentration distribution map, compares the actual gas concentration with the gas concentration threshold, performs notification and processing, and outputs the location coordinates of the abnormal monitoring point for further processing by relevant personnel.

7. The industrial on-site gas concentration monitoring and management system according to claim 6 is characterized by: The data acquisition and processing module includes a data acquisition unit and a data processing unit; The data acquisition unit is responsible for collecting the three-dimensional spatial data of the monitoring area and the gas data information to be monitored; the data processing unit processes and cleans the collected three-dimensional spatial data and gas data information, generates a three-dimensional model of the monitoring area and determines the location coordinates of the monitoring points; The gas diffusion model building module includes a gas concentration data alignment unit and a gas diffusion simulation unit; The gas concentration data alignment unit aligns the gas concentration data obtained from the monitoring point with the three-dimensional space data to ensure that the gas concentration data of each monitoring point corresponds to the position coordinates in the three-dimensional model; the gas diffusion simulation unit simulates the diffusion process of gas in the monitoring area based on the gas diffusion model to generate an ideal gas concentration distribution diagram and an actual gas concentration distribution diagram.

8. The industrial on-site gas concentration monitoring and management system according to claim 6 is characterized by: The gas concentration analysis and anomaly detection module includes a gas concentration comparison unit and an anomaly detection unit; The gas concentration comparison unit compares the actual gas concentration distribution map with the ideal gas concentration distribution map, and calculates the difference index of each monitoring point; the abnormality detection unit determines whether there is abnormality in the gas monitoring data according to the difference index and the difference index threshold, and marks and records the abnormal data; The exception processing and adjustment module includes an exception data adjustment unit and a processing result generation unit; The abnormal data adjustment unit makes corresponding adjustments based on the actual gas concentration distribution map and the ideal gas concentration distribution map with abnormalities; the processing result generation unit determines whether it is necessary to output prompt information to relevant personnel for processing based on the adjusted actual gas concentration distribution map and the gas concentration threshold.

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