CN-121253748-B - Environmental parameter-based gas safety detection method, device, equipment and medium

CN121253748BCN 121253748 BCN121253748 BCN 121253748BCN-121253748-B

Abstract

The application relates to the technical field of gas safety detection based on environmental parameters and discloses a gas safety detection method, a device, equipment and a medium based on the environmental parameters, wherein the method comprises the steps of acquiring environmental parameter data of all time points, extracting the environmental parameter data to form a first parameter data set and calculating to obtain a second parameter data set; and judging whether the gas using equipment has hidden danger of gas leakage or not according to the parameter label. The intelligent gas safety monitoring system has the beneficial effects that potential leakage hidden danger is identified in advance by continuously monitoring environmental parameters and intelligently analyzing changes of the environmental parameters, so that response time is shortened, detection accuracy and instantaneity are improved, intelligent gas safety management is realized, and potential safety hazard and economic loss are reduced.

Inventors

WANG SHAOLING
YANG LU

Assignees

华润燃气产业发展有限公司

Dates

Publication Date: 20260512
Application Date: 20250829

Claims (9)

1. A method for gas safety detection based on environmental parameters, the method comprising: Acquiring a plurality of environmental parameters of the gas using equipment according to a preset interval time through a preset sensor to obtain environmental parameter data of each time point; Extracting environmental parameter data of a preset number of time points nearest to the current time point to form a first parameter data set; The first parameter data set is calculated to obtain a second parameter data set, wherein the calculating mode is to subtract the last environmental parameter data from each environmental parameter data in the first parameter data set to obtain environmental parameter change data corresponding to each environmental parameter data, and the second parameter data set is formed based on each environmental parameter change data; Inputting the second parameter data set into a preset gas safety detector to obtain a parameter label of the second parameter data, wherein the preset gas safety detector is a big data model and is trained by a plurality of second parameter training data sets and corresponding parameter training labels; judging whether the gas using equipment has hidden danger of gas leakage according to the parameter label; The environmental parameter data comprises temperature and humidity data and methane concentration data, and after the step of obtaining the environmental parameter data of each time point by obtaining a plurality of environmental parameters according to preset interval time through the preset sensor obtaining gas using equipment, the method further comprises the following steps: Acquiring a methane concentration threshold according to the temperature and humidity data; judging whether the methane concentration exceeds the methane concentration threshold value; if the methane concentration exceeds the methane concentration threshold, judging that the gas leakage hidden danger exists in the gas using equipment; and if the methane concentration does not exceed the methane concentration threshold, judging that the condition of the step of executing the step of extracting the environmental parameter data of the preset number of time points closest to the current time point to form a first parameter data set is met.
2. The method for detecting the safety of fuel gas based on the environmental parameters according to claim 1, wherein before the step of inputting the second parameter data set into a preset fuel gas safety detector to obtain the parameter label of the second parameter data, the method further comprises: acquiring a plurality of groups of first parameter training data sets which are similar to the first parameter data sets, wherein at least one group of parameter training data sets in the plurality of groups of first parameter training data sets are parameter training data sets before gas leakage exists; the calculation processing is carried out on the first parameter training data sets so as to obtain second parameter training data sets corresponding to all groups of first parameter training data sets; detecting whether the second parameter training data set is a data set corresponding to the second parameter training data set before the gas leakage exists; And giving parameter training labels to each second parameter training data set according to the detection result, wherein the parameter training labels are hidden danger of gas leakage or hidden danger of gas leakage.
3. The method for detecting the safety of gas based on environmental parameters according to claim 1, wherein after the step of determining that the gas using device has a gas leakage risk if the methane concentration exceeds the methane concentration threshold value, further comprising: acquiring a corresponding alarm response grade according to the methane concentration; and executing a corresponding processing mode according to the alarm response level.
4. The method for detecting the safety of fuel gas based on the environmental parameters according to claim 3, wherein the step of executing the corresponding processing mode according to the alarm response level comprises the steps of: collecting environmental noise and environmental brightness through a preset collecting device; and adjusting the brightness of an alarm indicator lamp according to the alarm response grade and the environment brightness, and adjusting the volume of the buzzer according to the alarm response grade and the environment noise.
5. The method for detecting the safety of fuel gas based on the environmental parameters according to claim 3, wherein the step of executing the corresponding processing mode according to the alarm response level comprises the steps of: judging whether the alarm response grade reaches a preset grade or not; If the preset level is reached, determining a plurality of notifiers; setting notification information of each notification party according to the type of each notification party and the methane concentration; and sending the notification information to the corresponding notifier.
6. The method for detecting gas safety based on environmental parameters according to claim 1, wherein after the step of determining whether the gas using device has a gas leakage hidden trouble according to the parameter tag, further comprising: If the gas leakage hidden danger exists in the gas using equipment according to the parameter label, acquiring a plurality of historical gas leakage data identical to the parameter label; and sending each historical gas leakage data to a designated terminal of a maintenance personnel.
7. A gas safety detection device based on environmental parameters, the device comprising: The acquisition module is used for acquiring a plurality of environmental parameters of the gas using equipment through a preset sensor according to a preset interval time to obtain environmental parameter data of each time point, wherein the environmental parameter data comprises temperature and humidity data and methane concentration data; The composition module is used for extracting environmental parameter data of a preset number of time points closest to the current time point and forming a first parameter data set; The processing module is used for carrying out calculation processing on the first parameter data set to obtain a second parameter data set, wherein the calculation processing mode is to subtract the last environmental parameter data from each environmental parameter data in the first parameter data set to obtain environmental parameter change data corresponding to each environmental parameter data, and the second parameter data set is formed based on each environmental parameter change data; The input module is used for inputting the second parameter data set into a preset gas safety detector to obtain a parameter label of the second parameter data, wherein the preset gas safety detector is a big data model and is trained by a plurality of second parameter training data sets and corresponding parameter training labels; The judging module is used for judging whether the gas using equipment has hidden danger of gas leakage according to the parameter label; The methane concentration threshold value acquisition module is used for acquiring a methane concentration threshold value according to the temperature and humidity data; a methane concentration determination module configured to determine whether the methane concentration exceeds the methane concentration threshold; the first judging module is used for judging that the gas using equipment has the gas leakage hidden trouble if the methane concentration exceeds the methane concentration threshold value; And the second judging module is used for judging that the conditions of the step of executing the first parameter data set are met by executing the environmental parameter data of the preset number of time points closest to the current time point when the methane concentration does not exceed the methane concentration threshold value.
8. A computer-readable storage medium, characterized in that a computer program is stored, which, when being executed by a processor, causes the processor to perform the steps of the environmental parameter-based gas safety detection method according to any one of claims 1 to 6.
9. An electronic device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the environmental parameter-based gas safety detection method of any one of claims 1 to 6.

Description

Environmental parameter-based gas safety detection method, device, equipment and medium Technical Field The invention relates to the technical field of gas safety detection based on environmental parameters, in particular to a gas safety detection method, device, equipment and medium based on the environmental parameters. Background With the acceleration of the urban process, the fuel gas is used as an important energy source and is widely applied to daily life. However, gas leakage events occur frequently, resulting in serious safety hazards and economic losses. Traditional gas leakage detection technology mainly relies on sensors to monitor gas concentration in real time, and once the concentration exceeds a set threshold, an alarm is sent out and emergency measures are taken. However, there are several significant disadvantages to this approach. First, in the early stages of gas leakage, the change in gas concentration may not reach the alarm threshold, resulting in a failure to discover the potential hazard in time. For example, during a gradual gas leak, the sensor may detect only a minute amount of gas and fail to trigger an alarm in time, thereby missing an optimal processing opportunity. Secondly, environmental factors such as temperature, humidity and the like may also influence the sensitivity of the sensor, further increasing the risk of missed detection. In addition, existing monitoring systems mostly rely on static threshold limits, lacking intelligent analysis and response to abnormal data changes. Disclosure of Invention Based on this, it is necessary to provide a method, a device, equipment and a medium for detecting the gas safety based on the environmental parameters, aiming at the existing gas safety detection problem based on the environmental parameters. A gas safety detection method based on environmental parameters, the method comprising: acquiring a plurality of environmental parameters by a gas using device through a preset sensor according to a preset interval time to obtain environmental parameter data of each time point; Extracting environmental parameter data of a preset number of time points nearest to the current time point to form a first parameter data set; The first parameter data set is calculated to obtain a second parameter data set, wherein the calculating mode is to subtract the last environmental parameter data from each environmental parameter data in the first parameter data set to obtain environmental parameter change data corresponding to each environmental parameter data, and the second parameter data set is formed based on each environmental parameter change data; Inputting the second parameter data set into a preset gas safety detector to obtain a parameter label of the second parameter data, wherein the preset gas safety detector is a big data model and is trained by a plurality of second parameter training data sets and corresponding parameter training labels; judging whether the gas leakage hidden danger exists in the gas using equipment according to the parameter label. Further, before the step of inputting the second parameter data set to a preset gas safety detector to obtain the parameter tag of the second parameter data, the method further includes: Acquiring a plurality of groups of first parameter training data sets which are similar to the first parameter data sets, wherein the plurality of groups of first parameter training data sets at least comprise one group of parameter training data sets which are the parameter training data sets before gas leakage exists; the calculation processing is carried out on the first parameter training data sets so as to obtain second parameter training data sets corresponding to all groups of first parameter training data sets; detecting whether the second parameter training data set is a data set corresponding to the second parameter training data set before the gas leakage exists; And giving parameter training labels to each second parameter training data set according to the detection result, wherein the parameter training labels are hidden danger of gas leakage or hidden danger of gas leakage. The method further comprises the steps of acquiring environmental parameters according to preset interval time by the gas using equipment through a preset sensor, and acquiring environmental parameter data of each time point, wherein the environmental parameter data comprises temperature and humidity data and methane concentration data, and the method further comprises the following steps: Acquiring a methane concentration threshold according to the temperature and humidity data; judging whether the methane concentration exceeds the methane concentration threshold value; if the methane concentration exceeds the methane concentration threshold, judging that the gas leakage hidden danger exists in the gas using equipment; and if the methane concentration does not exceed the methane concentration threshold, judging that the co