CN-122017130-A - Cable pit toxic gas detection method, system, equipment and medium

CN122017130ACN 122017130 ACN122017130 ACN 122017130ACN-122017130-A

Abstract

The invention discloses a method, a system, equipment and a medium for detecting toxic gas in a cable pit, which relate to the technical field of gas detection and comprise the steps of collecting data and forming a time sequence monitoring data set, inputting the time sequence monitoring data set into a prediction model to obtain a predicted gas concentration result, comparing the predicted gas concentration result with corresponding safety reference parameters to judge whether the toxic gas in the cable pit is abnormal, triggering a patrol device to execute collaborative patrol on a target area in the cable pit when the toxic gas is abnormal, and carrying out fusion processing on the monitoring data set, the predicted gas concentration result and the patrol result to generate the toxic gas detection result of the cable pit. According to the invention, the traditional passive alarm mode relying on a fixed threshold value is changed into an active early warning mode based on trend analysis, single-point detection is updated into a comprehensive judgment mechanism combining multi-point collaborative analysis and space modeling, and timeliness of detecting toxic gas leakage, positioning accuracy and handling reliability are improved.

Inventors

SU JIANFENG
LIU RUIGUI
CAO WEI
LIU BIN
WU WEI
DU YU
LI HUA
ZHANG JIN
YANG HANGKANG
Zeng Baobao
LONG XIUQUAN
LUO SHUN
MOU JINGYAN
LUO JI
YANG YANG

Assignees

贵州电网有限责任公司

Dates

Publication Date: 20260512
Application Date: 20251205

Claims (10)

1. A method for detecting toxic gas in a cable pit is characterized by comprising the steps of, Collecting toxic gas concentration data and environmental parameter data related to gas diffusion at each monitoring position in a cable trench to form a time sequence monitoring data set; Inputting the time sequence monitoring data set into a prediction model, extracting time sequence characteristics of the change of the gas concentration along with time and spatial correlation characteristics among monitoring positions, and carrying out trend prediction on the gas concentration to obtain a predicted gas concentration result; Comparing the predicted gas concentration result with a corresponding safety reference parameter, judging whether a toxic gas abnormal condition exists in the cable trench, and generating an abnormal risk assessment result; When the toxic gas is judged to be abnormal, triggering the inspection device to execute cooperative inspection on a target area in the cable trench, rechecking the abnormal area according to the gas concentration information acquired in the inspection process, and determining the leakage position; and carrying out fusion processing on the monitoring data set, the predicted gas concentration result and the inspection result to generate a cable duct toxic gas detection result, and outputting corresponding detection information.
2. A method of detecting a toxic gas in a cable trench as set forth in claim 1, wherein said forming a time series monitoring data set includes, The method comprises the steps that toxic gas concentration and environmental parameter data of each monitoring point are synchronously collected through monitoring nodes arranged at different positions of a cable pit, and unified time reference information is added to each piece of collected data; carrying out unified data processing on the collected monitoring data; rearranging the monitoring data after data processing according to a time sequence, and aligning, labeling and structuring packaging the data from different monitoring positions to form a time sequence monitoring data set containing time dimension, space position identification and multidimensional environment parameters.
3. A method of detecting a toxic gas in a cable trench as set forth in claim 2, wherein said obtaining a predicted gas concentration result comprises, Extracting time sequence characteristic information representing the time sequence evolution relation of the gas concentration based on historical gas concentration change data of each monitoring position in the time sequence monitoring data set; Based on the data association relations among different monitoring positions, extracting space association characteristic information representing the diffusion relation of the gas in the cable trench; And carrying out fusion processing on the time sequence characteristic information and the space associated characteristic information, and outputting a predicted gas concentration result in a target period according to the fused characteristic result.
4. The method for detecting a toxic gas in a cable pit according to claim 3, wherein said generating an abnormal risk assessment result includes, Comparing the predicted gas concentration result with the corresponding safety reference parameters item by item, and determining whether the predicted gas concentration exceeds a preset safety limit value; When the predicted gas concentration exceeds the safety limit value, grading the abnormal degree to generate a corresponding risk grade; And generating an abnormal risk assessment result of the cable pit toxic gas based on the risk grade, and indicating the current abnormal degree and the potential risk state.
5. A method of detecting a toxic gas in a cable trench as set forth in claim 4, wherein said performing a collaborative inspection of a target area within the cable trench comprises, Constructing a navigation map for a target area based on the space structure information of the cable trench and the gas distribution information obtained by real-time monitoring, and representing the space structure state and the risk area distribution condition inside the cable trench; And generating a patrol path covering the target area according to the navigation map, and guiding the patrol device to scan the abnormal area on the premise of meeting the space obstacle avoidance requirement.
6. A method of detecting a toxic gas in a cable trench as set forth in claim 5, wherein said determining the location of the leak comprises, When the airborne gas sensor of the inspection device detects abnormal concentration, switching to a fine scanning mode immediately, and performing rechecking detection on the target area by using a spiral progressive path; Simultaneously starting a collaborative verification program, and calling historical data adjacent to the fixed monitoring point to carry out cross comparison with the current state; If the rechecking result is continuously abnormal, triggering a three-dimensional coordinate positioning instruction, controlling the inspection device to park at the leakage point, and determining the position of the leakage source by combining laser ranging and visual marking.
7. The method for detecting toxic gas in a cable trench of claim 6, wherein said outputting corresponding detection information comprises, Carrying out data encapsulation on the monitoring data, the prediction result and the inspection result to generate a detection result data set; Constructing a visual interface of a cable trench detection result based on the detection result data set, and displaying detection information in a graphical mode; And outputting the visual detection information to a monitoring terminal for maintenance personnel to check and handle decisions.
8. The cable pit toxic gas detection system is characterized by comprising a data acquisition module, a prediction module, an evaluation module, a rechecking module and a detection information generation module, wherein the cable pit toxic gas detection method is used according to any one of claims 1-7; the data acquisition module acquires toxic gas concentration data of each monitoring position in the cable pit and environmental parameter data related to gas diffusion to form a time sequence monitoring data set; the prediction module inputs the time sequence monitoring data set into a prediction model, extracts time sequence characteristics of the change of the gas concentration along with time and spatial correlation characteristics among monitoring positions, predicts the trend of the gas concentration, and obtains a predicted gas concentration result; The evaluation module compares the predicted gas concentration result with a corresponding safety reference parameter, judges whether toxic gas abnormal conditions exist in the cable pit or not, and generates an abnormal risk evaluation result; The rechecking module triggers the inspection device to execute cooperative inspection on a target area in the cable trench when judging that toxic gas is abnormal, rechecks the abnormal area according to gas concentration information acquired in the inspection process, and determines the leakage position; and the detection information generation module is used for carrying out fusion processing on the monitoring data set, the predicted gas concentration result and the inspection result, generating a cable duct toxic gas detection result and outputting corresponding detection information.
9. A computer device comprising a memory and a processor, said memory storing a computer program, characterized in that the processor, when executing said computer program, carries out the steps of a cable duct toxic gas detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of a cable trench toxic gas detection method as claimed in any one of claims 1 to 7.

Description

Cable pit toxic gas detection method, system, equipment and medium Technical Field The invention relates to the technical field of gas detection, in particular to a cable pit toxic gas detection method, a system, equipment and a medium. Background The cable trench is used as an underground infrastructure for cabling in a power system, has the characteristics of closed space, limited ventilation condition, complex environment and the like, and is easy to cause accumulation of toxic and combustible gas in the cable trench due to the problems of cable insulation aging, loose joints, infiltration of external environment, accumulation of combustible gas and the like in the long-term operation process, thereby threatening the personal safety of operation and maintenance personnel and the stable operation of the power system. In order to reduce accident risk, the prior art generally sets up gas sensor in the cable pit, monitors the gas concentration of critical position to trigger the warning when the detected value exceeds the threshold value of predetermineeing. However, the technical scheme is based on real-time numerical judgment of fixed monitoring points, lacks comprehensive utilization of historical data, is difficult to analyze and predict the gas concentration change trend, and is easy to cause the problems of early warning lag or false alarm. Meanwhile, the existing detection means mostly adopt a single-point or small-quantity monitoring point layout mode, the overall distribution state of gas in a cable pit cannot be reflected, the range and the diffusion direction of an abnormal area are difficult to judge, the leakage position is usually judged by means of manual inspection or even experience, and the positioning efficiency is low and the accuracy is poor. In actual operation and maintenance, the inspection operation still takes manual entry into a cable trench as a main part, the operation environment is severe, the risk is high, and the inspection operation is limited by space conditions and operation period, so that high-frequency and full-coverage detection is difficult to realize. In addition, different monitoring devices often run independently, data lack of unified management and fusion analysis means, detection results are presented in a numerical value or simple alarm mode, and visual display modes are lacked, so that management staff cannot timely and comprehensively master the safety situation in a cable trench, and the requirements of the current power system on intelligent and fine management of the safety operation are difficult to meet. Disclosure of Invention In view of the above-mentioned problems, the present invention provides a method, a system, a device and a medium for detecting toxic gas in a cable trench. Therefore, the method solves the problems that the prior art scheme is mostly based on real-time numerical judgment of fixed monitoring points, lacks comprehensive utilization of historical data, is difficult to analyze and predict the gas concentration change trend, and is easy to cause early warning lag or false alarm. The technical scheme includes that poisonous gas concentration data of all monitoring positions in a cable pit and environmental parameter data related to gas diffusion are collected to form a time sequence monitoring data set, the time sequence monitoring data set is input into a prediction model, time sequence characteristics of gas concentration change along with time and space correlation characteristics among the monitoring positions are extracted, trend prediction is conducted on the gas concentration to obtain a predicted gas concentration result, the predicted gas concentration result is compared with corresponding safety reference parameters to judge whether poisonous gas abnormal conditions exist in the cable pit and generate an abnormal risk assessment result, when judging that poisonous gas abnormality exists, a patrol inspection device is triggered to conduct collaborative patrol inspection on a target area in the cable pit, the abnormal area is rechecked according to gas concentration information obtained in the patrol inspection process, the leakage position is determined, the monitoring data set, the predicted gas concentration result and the patrol inspection result are fused to generate a cable pit poisonous gas detection result, and corresponding detection information is output. The cable pit toxic gas detection method comprises the steps of synchronously collecting toxic gas concentration and environmental parameter data of each monitoring point through monitoring nodes deployed at different positions of a cable pit, adding unified time reference information to each piece of collected data, carrying out unified data processing on the collected monitoring data, rearranging the monitoring data after data processing according to a time sequence, and carrying out alignment, labeling and structural packaging on the data from different monitoring