Gas meter detection method based on air component detection

Abstract

The invention relates to the technical field of gas detection, and discloses a gas meter detection method based on air component detection, which comprises the following steps: acquiring gas concentration in a target area, judging whether concentration abnormity exists in the target area or not, acquiring gas components and content, judging whether interference factors cause detection abnormity or not, and if yes, determining whether the detection abnormity exists. According to the gas meter detection method based on air component detection, whether gas leakage actually exists or not is judged according to the gas components and the gas content, and whether a detection point with abnormal data is a real gas leakage point or not is judged according to the gas components and the gas diffusion speed. According to the gas components and the gas diffusion speed, whether interference factors and gas leakage exist at the same time or not is judged, the accuracy of data is improved, the situations of misjudgment, erroneous judgment and missed judgment are reduced, the situation that a user cannot timely and correctly take corresponding safety measures is avoided, the vigilance of the user is improved, and potential safety hazards are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of gas detection, and in particular to a gas meter detection method based on air component detection. Background Art

[0002] With the development of my country's economy and society and the continuous improvement of people's living standards, gas has become increasingly closely related to people's lives, and the gas industry has also grown stronger and stronger, but a series of safety problems have also emerged. Gas, as a clean, efficient and convenient fuel, has become a new type of developing industry. In recent years, my country's urban gas industry has developed rapidly. On the one hand, the development of gas has promoted economic growth, improved residents' living conditions and reduced environmental pollution; on the other hand, due to the characteristics of gas being flammable, explosive, easy to flow and easy to spread, the slightest negligence and leakage may cause fires and explosions, causing huge losses to people's lives and property. Gas pipelines have entered thousands of households, and gas safety hazards have gradually increased. The task of gas safety management has become increasingly heavy, while the corresponding professional and skilled personnel are in short supply. It is imperative to strengthen gas safety management. Natural gas has gradually become the pillar energy for my country's economic development and is now in a period of rapid development, but there are often many potential dangerous factors in gas safety management. Change from passive to active. At present, many gas companies’ safety management work is mostly post-processing and summarizing experience and lessons, and they do not pay attention to pre-emptive safety control. This management mode has many disadvantages and is prone to cause accidents. Therefore, we should adhere to scientific safety management and the principle of "safety first, prevention first", prevent accidents before they happen, keep the alarm bell ringing, be vigilant at all times, make safety management a habit, and eliminate all hidden dangers in the bud; The existing gas meter detection method based on air composition detection cannot judge whether there is a real gas leak based on the gas composition and gas content, cannot judge whether the detection point with abnormal data is a real gas leakage point based on the gas composition and gas diffusion rate, and cannot judge whether there are interference factors and gas leakage at the same time based on the gas composition and gas diffusion rate. It is easy to make misjudgments, wrong judgments and missed judgments, resulting in users being unable to correctly take corresponding safety measures. At the same time, multiple misjudgments, wrong judgments and missed judgments can easily reduce users' vigilance, thereby easily reducing their vigilance when facing gas leaks, resulting in serious consequences. There are certain safety hazards, and its practicality has certain limitations. Summary of the invention

[0003] The present invention provides a gas meter detection method based on air component detection, which is used to promote the solution of the problems mentioned in the background technology.

[0004] The present invention provides the following technical solution: a gas meter detection method based on air component detection, comprising: Get the target area; Obtain all detection points in the target area to form a detection point set; Acquire the detection data of each detection point to form a data set; The elements in the detection point set are matched one by one with the elements in the data set to form a detection set; Set abnormal alarm data; Identify each element in the detection set as the target element in turn; If the target element ≥ abnormal alarm data, the gas detection is judged to be abnormal; If the target element is less than the abnormal alarm data, the gas detection is judged to be normal; The number of elements in the detection set that determine that the gas detection is abnormal is obtained, and is defined as the abnormal number; If the number of abnormalities is less than 1, the air composition in the target area is judged to be normal and the alarm strategy is not executed; If the number of anomalies is ≥1, the air composition in the target area is determined to be abnormal, and the anomaly analysis strategy is executed to form anomaly analysis data; Based on the abnormal analysis data, the alarm strategy is executed to prompt the user to take appropriate measures in time.

[0005] As an optional solution of the gas meter detection method based on air component detection of the present invention, the abnormal analysis strategy is specifically as follows: Obtaining the element in the detection set that determines that the gas detection is abnormal, and defining it as an abnormal element; Extracting the component data collected by the abnormal elements to form a target component set; Get the number of elements in the target component set and set it as the number of components; Set target ingredient quantities; If the number of components = the target number of components, the leakage analysis strategy is executed; If the number of components ≠ the target number of components, the false positive analysis strategy is executed.

[0006] As an optional solution of the gas meter detection method based on air component detection of the present invention, the leakage analysis strategy is specifically as follows: Obtain wind data in a target area and set it as target wind data; Set and determine wind force data; If the target wind data is less than the determined wind data, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point; If the target wind data is greater than or equal to the determination wind data, the wind direction data in the target area is obtained and determined as the target wind direction; Obtain the position of the detection point corresponding to the abnormal element and define it as the abnormal detection point; Take the abnormal detection point as the origin and the opposite direction of the target wind direction as the reference direction for analysis; Take the abnormal acquisition point as the origin and draw a straight line perpendicular to the analysis direction, which is defined as the analysis line; The analysis line divides the target area into a first area and a second area; The first area is the area where the analysis direction is located; If there is no detection point in the first area, the abnormal detection point is identified as a leakage detection point; If there is a detection point in the first area, the detection point is determined as an analysis detection point, and a diffusion analysis strategy is executed.

[0007] As an optional solution of the gas meter detection method based on air component detection of the present invention, the diffusion analysis strategy is specifically: Acquire detection data of abnormal detection points and define them as abnormal data; Obtain all historical detection data of abnormal detection points to form a historical detection set; Get the collection time point of each element in the historical detection set and set it as the historical time point; Get the current time point; Calculate the time difference, time difference = current time point - historical time point; Extract the time difference with the smallest value and set it as the minimum time difference; Obtain the distance between the analysis detection point and the abnormal detection point, which is defined as the analysis distance; Calculate the diffusion distance, diffusion distance = minimum time difference × target wind data; If the diffusion distance is less than the analysis distance, the abnormal detection point is identified as a leakage detection point; If the diffusion distance is ≥ the analysis distance, the analysis detection point and the abnormal detection point will be identified as the leakage detection point in turn.

[0008] As an optional solution of the gas meter detection method based on air component detection of the present invention, the misjudgment analysis strategy is specifically as follows: Obtain the content data of each element in the target component set and define it as the detection content; Each detected content is matched one by one with an element in the target component set to form a component content set; Set the analysis content set; Identify each element in the target component set as a target component element in turn; Extract the element corresponding to the target component element in the analysis content set and set it as the target analysis content; Extract the element corresponding to the target component element in the component content set and set it as the target component content; If the target component content ≥ the target analysis content, the content of the component is judged to be abnormal; If the target component content is less than the target analysis content, the content of the component is judged to be normal; Extract all elements with abnormal content in the component content set and define them as abnormal content elements; Obtain the number of elements with abnormal content and define it as the content element number; If the number of elements in the content is less than 1, the data collected at the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed; If the number of content elements = 1, the first content analysis strategy is executed; If the number of content elements is greater than 1, the second content analysis strategy is executed.

[0009] As an optional solution of the gas meter detection method based on air component detection of the present invention, the first content analysis strategy is specifically: Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Set analysis components; If the abnormal component = the analysis component, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point; If the abnormal component ≠ the analysis component, the data collected by the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed.

[0010] As an optional solution of the gas meter detection method based on air component detection of the present invention, the second content analysis strategy is specifically: Obtain gas diffusion model; Obtain target wind data and minimum time difference; Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Extract the detection content corresponding to each abnormal component in the component content set and define it as the abnormal content; Extract abnormal components, abnormal content target wind data and the diffusion value corresponding to the minimum time difference in the gas diffusion model; If all diffusion values ​​are the same value, the leakage analysis strategy is executed; If there are diffusion values ​​with different values, obtain the set of detection points; Each element in the detection point set is identified as a leakage detection point in turn.

[0011] As an optional solution of the gas meter detection method based on air component detection of the present invention, the gas diffusion model is obtained as follows: Set component simulation collection; Set the content simulation set; Mapping the elements in the component simulation set to the elements in the content simulation set one by one to form a component and content simulation set; Set up wind simulation collection; Set the duration to simulate the collection; Mapping the elements in the wind force simulation set to the elements in the duration simulation set one by one to form a wind force duration simulation set; Extract each element in the component content simulation set in turn and identify it as the target simulation element; Get the diffusion value of the target simulation element under each element in the wind duration simulation set; The gas diffusion model is formed by integrating the component content simulation set, wind duration simulation set and corresponding diffusion values.

[0012] As an optional solution of the gas meter detection method based on air component detection of the present invention, the alarm strategy is specifically as follows: Get leak detection points; Obtain the equipment corresponding to the leakage detection point and define it as the analysis equipment; Acquire usage data of the analysis device, wherein the usage data includes running and stopping; If the usage data of the analysis equipment is stopped, it is determined to be a pipeline leak; Obtain target wind data and determine wind data; If the target wind force data is less than the determined wind force data, it is determined that there is a leak at the location of the leak detection point; Then the gas output is controlled to stop; Send gas leak reminders to users and display the location of the leak detection point; If the target wind data ≥ the determination wind data, the diffusion distance and analysis direction are obtained; Get all the connected pipes of the leak detection point; The connecting pipeline located on one side of the analysis direction is defined as the analysis pipeline; Take the leak detection point as the origin and the diffusion distance as the reference length value, and make a leak analysis line on the analysis pipeline; The position of the analysis pipeline where the leakage analysis line is located is defined as the leakage analysis position; Control gas to stop output; Send gas leak reminders to users and display leak analysis locations; If the usage data of the analyzed equipment is running, it is determined that the equipment is leaking; The operation of the analysis equipment is interrupted, and the gas output is controlled to stop; Send gas leak reminders to users and display leaks in analytical equipment.

[0013] The present invention has the following beneficial effects: 1. The gas meter detection method based on air component detection determines whether there is an abnormal gas concentration by obtaining the smoke concentration, and determines whether there are multiple gas components by obtaining the gas composition. If not, it means that there is a gas leak. The wind data in the area is obtained to determine whether the detected leakage position is biased due to the influence of wind, thereby determining the real gas leakage point, improving the accuracy of the data, reducing misjudgments, wrong judgments and missed judgments, avoiding users from being unable to take corresponding safety measures in a timely and correct manner, increasing users' vigilance and reducing safety hazards.

[0014] 2. The gas meter detection method based on air composition detection obtains gas composition to determine whether there are multiple gas components. If so, it indicates that there are interference factors. The content of each gas component is obtained to determine whether there is a gas leakage while there are interference factors. If there is no gas leakage, it indicates that there is a misjudgment in the detection, thereby improving the accuracy of the data, reducing misjudgments, wrong judgments and missed judgments, avoiding users from being unable to take corresponding safety measures in a timely and correct manner, increasing users' vigilance and reducing safety hazards.

[0015] 3. For the gas meter detection method based on air composition detection, if there are interference factors and gas leakage at the same time, the gas diffusion model is obtained, and the real gas leakage point is determined according to the gas diffusion model and the gas composition, concentration and wind speed data in the area, and an alarm is given in time to improve the accuracy of the data, reduce misjudgment, wrong judgment and missed judgment, avoid the user's inability to take corresponding safety measures in a timely and correct manner, increase the user's vigilance and reduce safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flow chart of a gas meter detection method based on air component detection. DETAILED DESCRIPTION

[0017] 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.

[0018] Embodiment 1, a gas meter detection method based on air component detection, see Figure 1 ,include: Get the target area; Obtain all detection points in the target area to form a detection point set; Acquire detection data of each detection point to form a data set, wherein the detection data is a smoke concentration value, that is, detect the smoke particle concentration in the environment around the detection point; The elements in the detection point set are matched one by one with the elements in the data set to form a detection set. For example, if the elements in the detection point set are detection point 1 and detection point 2, and the elements in the data set are detection data 1 of detection point 1 and detection data 2 of detection point 2, then the elements in the detection set are (detection point 1, detection data 1) and (detection point 2, detection data 2); Setting abnormal alarm data, wherein the abnormal alarm data is the smoke concentration threshold detected by the detection equipment that needs to be alarmed and analyzed; Each element in the detection set is identified as a target element in turn, that is, the detection data of each detection point is judged respectively to determine whether the smoke concentration value exceeds the smoke concentration threshold; If the target element ≥ abnormal alarm data, the gas detection is judged to be abnormal; If the target element is less than the abnormal alarm data, the gas detection is judged to be normal; The number of elements in the detection set that determine that the gas detection is abnormal is obtained, and is defined as the abnormal number; If the number of abnormalities is less than 1, the air composition in the target area is judged to be normal and the alarm strategy is not executed; If the number of anomalies is ≥1, the air composition in the target area is determined to be abnormal, and the anomaly analysis strategy is executed to form anomaly analysis data; Based on the abnormal analysis data, the alarm strategy is executed to prompt the user to take appropriate measures in time.

[0019] Through the above method, it is possible to judge whether there is a real gas leak based on the gas composition and gas content, judge whether the detection point with abnormal data is a real gas leakage point based on the gas composition and gas diffusion rate, and judge whether there are interference factors and gas leakage at the same time based on the gas composition and gas diffusion rate, thereby improving the accuracy of the data, reducing misjudgments, wrong judgments and missed judgments, avoiding users from being unable to take corresponding safety measures in a timely and correct manner, increasing users' vigilance and reducing safety hazards.

[0020] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. The gas meter detection method based on air component detection and the abnormality analysis strategy are specifically as follows: Obtaining the element in the detection set that determines that the gas detection is abnormal, and defining it as an abnormal element; Extracting the component data collected by the abnormal element to form a target component set, wherein the component data is all components of the gas collected at the detection point; Get the number of elements in the target component set and set it as the number of components; Setting a target component quantity, wherein the target component quantity is the quantity of a component of natural gas; If the number of components = the target number of components, the leakage analysis strategy is executed. At this time, the gas composition collected at the detection point is the same as the gas composition of natural gas, indicating that there is a gas leak. The location of the gas leak needs to be determined so that corresponding safety measures can be taken; If the number of components is ≠ the target number of components, the false positive analysis strategy is executed. At this time, the gas composition collected by the detection point is different from the gas composition of natural gas, indicating that there may be a gas leak or interference factor, such as the smoke generated by cooking. It is necessary to determine whether there is a gas leak, so as to determine the location of the gas leak and take corresponding safety measures.

[0021] The leakage analysis strategy is specifically as follows: Obtaining wind data in a target area and defining it as target wind data, wherein the wind data is a wind speed value in the target area; Setting determination wind force data, wherein the determination wind force data is a wind speed value that can drive the gas to diffuse and move; If the target wind data is less than the determined wind data, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point, that is, there is no interference factor in the target area; If the target wind data is greater than or equal to the determination wind data, the wind direction data in the target area is obtained and determined as the target wind direction; Obtain the position of the detection point corresponding to the abnormal element and define it as the abnormal detection point; Take the abnormal detection point as the origin and the opposite direction of the target wind direction as the reference direction for analysis; Take the abnormal acquisition point as the origin and draw a straight line perpendicular to the analysis direction, which is defined as the analysis line; The analysis line divides the target area into a first area and a second area; The first area is the area where the analysis direction is located; If there is no detection point in the first area, the abnormal detection point is identified as a leakage detection point, that is, there are interference factors in the target area, but they are not enough to affect the collection results of the detection point; If there is a detection point in the first area, the detection point is determined as an analysis detection point, and a diffusion analysis strategy is executed.

[0022] The diffusion analysis strategy is specifically as follows: Acquire detection data of abnormal detection points and define them as abnormal data; Obtain all historical detection data of abnormal detection points to form a historical detection set; Get the collection time point of each element in the historical detection set and set it as the historical time point; Get the current time point; Calculate the time difference, time difference = current time point - historical time point; Extract the time difference with the smallest value and set it as the minimum time difference; Obtain the distance between the analysis detection point and the abnormal detection point, which is defined as the analysis distance; Calculate the diffusion distance, diffusion distance = minimum time difference × target wind data; If the diffusion distance is less than the analysis distance, the abnormal detection point is identified as a leakage detection point, that is, there are interference factors in the target area, but they are not enough to affect the collection results of the detection point; If the diffusion distance is ≥ the analysis distance, the analysis detection point and the abnormal detection point are identified as leakage detection points in turn, that is, there are interference factors in the target area, and they may affect the collection results of the detection points.

[0023] This embodiment also provides the misjudgment analysis strategy, specifically: Obtaining the content data of each element in the target component set as the detection content, wherein the content data is the content of each component in the gas collected at the detection point; Each detected content is matched one by one with an element in the target component set to form a component content set; Setting an analysis content set, wherein the analysis content set is a set formed by the content value of each component that can be detected by the detection device and exceeds the safety range; Identify each element in the target component set as a target component element in turn; Extract the element corresponding to the target component element in the analysis content set and set it as the target analysis content; Extract the element corresponding to the target component element in the component content set and set it as the target component content; If the target component content ≥ the target analysis content, the content of the component is judged to be abnormal; If the target component content is less than the target analysis content, the content of the component is judged to be normal; Extract all elements with abnormal content in the component content set and define them as abnormal content elements; Obtain the number of elements with abnormal content and define it as the content element number; If the number of elements in the content is less than 1, the data collected by the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed. That is, although the smoke concentration collected by the collection point is abnormal, the content of each gas component collected is within the safe range, and no safety measures are required; If the number of content elements = 1, the first content analysis strategy is executed; If the number of content elements is greater than 1, the second content analysis strategy is executed.

[0024] Wherein, the first content analysis strategy is specifically: Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Setting analysis components, wherein the analysis components are gas components; If the abnormal component = the analyzed component, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point, that is, there are interference factors in the target area, but the interference factors are within the safe range, and the content of the gas component is within the abnormal range, and safety measures need to be taken in time; If the abnormal component ≠ the analyzed component, the data collected by the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed. That is, although the smoke concentration collected by the collection point is abnormal, the content of each gas component collected is within the safe range, and no safety measures are needed.

[0025] This embodiment also provides that the second content analysis strategy is specifically: Obtain gas diffusion model; Obtain target wind data and minimum time difference; Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Extract the detection content corresponding to each abnormal component in the component content set and define it as the abnormal content; Extract abnormal components, abnormal content target wind data and the diffusion value corresponding to the minimum time difference in the gas diffusion model; If all diffusion values ​​are the same, the leakage analysis strategy is executed, that is, there is gas leakage and interference factors at the same time, such as the smoke generated by cooking, and the diffusion of each component is similar, indicating that the gas leakage point and the location where the interference factor is generated are the same location point; If there are diffusion values ​​with different values, obtain the set of detection points; Each element in the detection point set is identified as a leakage detection point in turn, that is, there is gas leakage and interference factors at the same time, such as smoke generated by cooking, but the diffusion of each component is different, indicating that the gas leakage point and the location point where the interference factor is generated are not the same location point. At this time, all detection points are directly checked.

[0026] The step of obtaining the gas diffusion model is as follows: Setting a component simulation set, where the component simulation set is a set formed by all components that can be detected by the detection device; Setting a content simulation set, wherein the content simulation set is a set formed by all content values ​​within a content detection range, wherein the content detection range is a range formed by the minimum content to the maximum content that can be detected by the detection equipment for each component; Mapping the elements in the component simulation set to the elements in the content simulation set one by one to form a component and content simulation set; A wind force simulation set is set, wherein the wind force simulation set is a set formed by all wind speed values ​​within a wind force range, wherein the wind force range is a range formed by a minimum wind speed value that can drive gas diffusion and movement to a maximum wind speed value under normal indoor ventilation; A duration simulation set is set, where the duration simulation set is a set formed by all durations ranging from 1 second to 60 minutes; Mapping the elements in the wind force simulation set to the elements in the duration simulation set one by one to form a wind force duration simulation set; Extract each element in the component content simulation set in turn and identify it as the target simulation element; Obtaining the diffusion value of the target simulation element under each element in the wind force duration simulation set, wherein the diffusion value is the maximum distance that a gas component diffuses after a gas component of a certain content is maintained at a wind speed for a certain period of time; The gas diffusion model is formed by integrating the component content simulation set, wind duration simulation set and corresponding diffusion values.

[0027] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the alarm strategy is specifically as follows: Get leak detection points; Obtain the equipment corresponding to the leakage detection point and define it as the analysis equipment; Acquire usage data of the analysis device, wherein the usage data includes running and stopping; If the usage data of the analysis equipment is stopped, it is determined to be a pipeline leak; Obtain target wind data and determine wind data; If the target wind force data is less than the determined wind force data, it is determined that there is a leak at the location of the leak detection point; Then the gas output is controlled to stop; Send gas leak reminders to users and display the location of the leak detection point; If the target wind data ≥ the determination wind data, the diffusion distance and analysis direction are obtained; Get all the connected pipes of the leak detection point; The connecting pipeline located on one side of the analysis direction is defined as the analysis pipeline; Take the leak detection point as the origin and the diffusion distance as the reference length value, and make a leak analysis line on the analysis pipeline; The position of the analysis pipeline where the leakage analysis line is located is defined as the leakage analysis position; Control gas to stop output; Send gas leak reminders to users and display leak analysis locations; If the usage data of the analyzed equipment is running, it is determined that the equipment is leaking; The operation of the analysis equipment is interrupted, and the gas output is controlled to stop; Send gas leak reminders to users and display leaks in analytical equipment.

[0028] In this embodiment, whether there is actually a gas leak is determined based on the gas composition and gas content, whether the detection point with abnormal data is a real gas leakage point is determined based on the gas composition and gas diffusion rate, and whether there are interference factors and gas leakage at the same time is determined based on the gas composition and gas diffusion rate, thereby improving the accuracy of the data, reducing misjudgments, wrong judgments and missed judgments, avoiding users from being unable to take corresponding safety measures in a timely and correct manner, increasing users' vigilance and reducing safety hazards.

[0029] 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.

[0030] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A gas meter detection method based on air component detection, characterized in that: include: Get the target area; Obtain all detection points in the target area to form a detection point set; Acquire the detection data of each detection point to form a data set; The elements in the detection point set are matched one by one with the elements in the data set to form a detection set; Set abnormal alarm data; Identify each element in the detection set as the target element in turn; If the target element ≥ abnormal alarm data, the gas detection is judged to be abnormal; If the target element is less than the abnormal alarm data, the gas detection is judged to be normal; The number of elements in the detection set that determine that the gas detection is abnormal is obtained, and is defined as the abnormal number; If the number of abnormalities is less than 1, the air composition in the target area is judged to be normal and the alarm strategy is not executed; If the number of anomalies is ≥1, the air composition in the target area is determined to be abnormal, and the anomaly analysis strategy is executed to form anomaly analysis data; Execute alarm strategies based on abnormal analysis data to prompt users to take appropriate measures in a timely manner; The abnormal analysis strategy is specifically: Obtaining the element in the detection set that determines that the gas detection is abnormal, and defining it as an abnormal element; Extracting the component data collected by the abnormal elements to form a target component set; Get the number of elements in the target component set and set it as the number of components; Set target ingredient quantities; If the number of components = the target number of components, the leakage analysis strategy is executed; If the number of components ≠ the number of target components, the false positive analysis strategy is executed; The leakage analysis strategy is specifically as follows: Obtain wind data in a target area and set it as target wind data; Set and determine wind force data; If the target wind data is less than the determined wind data, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point; If the target wind data is greater than or equal to the determination wind data, the wind direction data in the target area is obtained and determined as the target wind direction; Obtain the position of the detection point corresponding to the abnormal element and define it as the abnormal detection point; Take the abnormal detection point as the origin and the opposite direction of the target wind direction as the reference direction for analysis; Take the abnormal acquisition point as the origin and draw a straight line perpendicular to the analysis direction, which is defined as the analysis line; The analysis line divides the target area into a first area and a second area; The first area is the area where the analysis direction is located; If there is no detection point in the first area, the abnormal detection point is identified as a leakage detection point; If there is a detection point in the first area, the detection point is determined as an analysis detection point, and a diffusion analysis strategy is executed; The diffusion analysis strategy is specifically as follows: Acquire detection data of abnormal detection points and define them as abnormal data; Obtain all historical detection data of abnormal detection points to form a historical detection set; Get the collection time point of each element in the historical detection set and set it as the historical time point; Get the current time point; Calculate the time difference, time difference = current time point - historical time point; Extract the time difference with the smallest value and set it as the minimum time difference; Obtain the distance between the analysis detection point and the abnormal detection point, which is defined as the analysis distance; Calculate the diffusion distance, diffusion distance = minimum time difference × target wind data; If the diffusion distance is less than the analysis distance, the abnormal detection point is identified as a leakage detection point; If the diffusion distance is ≥ the analysis distance, the analysis detection point and the abnormal detection point will be identified as the leakage detection point in turn.

2. The gas meter detection method based on air component detection according to claim 1 is characterized in that: The misjudgment analysis strategy is specifically as follows: Obtain the content data of each element in the target component set and define it as the detection content; Each detected content is matched one by one with an element in the target component set to form a component content set; Set the analysis content set; Identify each element in the target component set as a target component element in turn; Extract the element corresponding to the target component element in the analysis content set and set it as the target analysis content; Extract the element corresponding to the target component element in the component content set and set it as the target component content; If the target component content ≥ the target analysis content, the content of the component is judged to be abnormal; If the target component content is less than the target analysis content, the content of the component is judged to be normal; Extract all elements with abnormal content in the component content set and define them as abnormal content elements; Obtain the number of elements with abnormal content and define it as the content element number; If the number of elements in the content is less than 1, the data collected at the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed; If the number of content elements = 1, the first content analysis strategy is executed; If the number of content elements is greater than 1, the second content analysis strategy is executed.

3. The gas meter detection method based on air component detection according to claim 2 is characterized in that: The first content analysis strategy is specifically: Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Set analysis components; If the abnormal component = the analysis component, the detection point corresponding to the abnormal element is extracted and identified as the leakage detection point; If the abnormal component ≠ the analysis component, the data collected by the detection point corresponding to the abnormal element is determined to be interference data, and the alarm strategy is not executed.

4. The gas meter detection method based on air component detection according to claim 2 is characterized in that: The second content analysis strategy is specifically: Obtain gas diffusion model; Obtain target wind data and minimum time difference; Obtain the component data corresponding to the element with abnormal content in the component content set and define it as the abnormal component; Extract the detection content corresponding to each abnormal component in the component content set and define it as the abnormal content; Extract abnormal components, abnormal content target wind data and the diffusion value corresponding to the minimum time difference in the gas diffusion model; If all diffusion values ​​are the same value, the leakage analysis strategy is executed; If there are diffusion values ​​with different values, obtain the set of detection points; Each element in the detection point set is identified as a leakage detection point in turn.

5. The gas meter detection method based on air component detection according to claim 4 is characterized in that: The obtaining of the gas diffusion model is specifically as follows: Set component simulation collection; Set the content simulation set; Mapping the elements in the component simulation set to the elements in the content simulation set one by one to form a component and content simulation set; Set up wind simulation collection; Set the duration to simulate the collection; Mapping the elements in the wind force simulation set to the elements in the duration simulation set one by one to form a wind force duration simulation set; Extract each element in the component content simulation set in turn and identify it as the target simulation element; Get the diffusion value of the target simulation element under each element in the wind duration simulation set; The gas diffusion model is formed by integrating the component content simulation set, wind duration simulation set and corresponding diffusion values.

6. The gas meter detection method based on air component detection according to claim 1 is characterized in that: The alarm strategy is specifically: Get leak detection points; Obtain the equipment corresponding to the leakage detection point and define it as the analysis equipment; Acquire usage data of the analysis device, wherein the usage data includes running and stopping; If the usage data of the analyzed equipment is stopped, it is determined to be a pipeline leak; Obtain target wind data and determine wind data; If the target wind force data is less than the determined wind force data, it is determined that there is a leak at the location of the leak detection point; Then the gas output is controlled to stop; Send gas leak reminders to users and display the location of the leak detection point; If the target wind data ≥ the determination wind data, the diffusion distance and analysis direction are obtained; Get all the connected pipes of the leak detection point; The connecting pipeline located on one side of the analysis direction is defined as the analysis pipeline; Take the leak detection point as the origin and the diffusion distance as the reference length value, and make a leak analysis line on the analysis pipeline; The position of the analysis pipeline where the leakage analysis line is located is defined as the leakage analysis position; Control gas to stop output; Send gas leak reminders to users and display leak analysis locations; If the usage data of the analyzed equipment is running, it is determined that the equipment is leaking; The operation of the analysis equipment is interrupted, and the gas output is controlled to stop; Send gas leak reminders to users and display leaks in analytical equipment.

Images