Oil and gas pipeline leakage monitoring and early warning method and system and storage medium

Abstract

The invention relates to the field of oil and gas pipeline leakage monitoring and early warning, in particular to an oil and gas pipeline leakage monitoring and early warning method and system and a storage medium. The oil and gas pipeline leakage monitoring and early warning system comprises a data acquisition module, a soil temperature analysis module, a leakage triple progressive analysis module and an early warning processing module; the temperature change of each monitoring branch defense area is analyzed, the early warning processing module acquires the positioning information of the branch defense area according to a received leakage early warning signal and contacts personnel for maintenance, and the leakage triple progressive analysis module compares and calculates according to a set leakage triple progressive effect and judges whether the monitoring branch defense area which triggers, calculates, prejudges and alarms leaks or not. According to the invention, the problem that the temperature change caused by tiny leakage in a short time is insufficient to trigger the pre-judgment alarm is solved, and the progressive sensing and pre-judgment capability of tiny leakage is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas pipeline leakage monitoring and early warning, and in particular to a method, a system and a storage medium for oil and gas pipeline leakage monitoring and early warning. Background Art

[0002] Oil and gas resources occupy a vital position in modern society and are an important energy support for industrial production, transportation and residents' lives. As the main way to transport oil and gas resources, oil and gas pipelines have the advantages of high efficiency, safety and stability. However, since oil and gas pipelines usually span long distances and cross various complex terrains and environments, they face many risks during operation. At present, there are some application cases of monitoring equipment and supporting software that use single-mode communication optical fibers to monitor and warn of damage to oil and gas pipelines caused by third-party excavation and heavy-load crushing. Based on the temperature sensing function of multi-mode optical fibers, there are many application cases of monitoring equipment and supporting software that monitor the temperature distribution of indoor warehouse partitions and the ambient temperature of outdoor equipment. However, there are no successful cases of using single-mode optical fiber temperature measurement equipment in silicon tubes laid in the same trench for accurate monitoring and early warning of oil and gas pipeline leakage. The present invention can use single-mode communication optical fibers in silicon tubes laid in the same trench as oil and gas pipelines to monitor and warn of oil and gas pipeline leakage, set up a calculation comparison that reflects the progressive effect of small leaks, and enhance the perception and prediction ability of small leaks. Summary of the invention

[0003] In order to solve the technical problems raised by the above-mentioned background technology, the present invention provides a method, system and storage medium for oil and gas pipeline leakage monitoring and early warning.

[0004] The purpose of the present invention can be achieved by the following technical solutions:

[0005] A first aspect of the present invention provides an oil and gas pipeline leakage monitoring and early warning system, comprising a data acquisition module, a soil temperature analysis module, a leakage triple progressive analysis module, an early warning processing module and a data center.

[0006] The data acquisition module installs a monitoring and early warning system according to on-site needs, and uses the system to monitor the soil temperature data within the total monitoring section in real time. The specific acquisition process is as follows:

[0007] The output end of the data acquisition module is connected to the input end of the soil temperature analysis module to obtain the length of the current total monitoring section, and the length of each monitoring sub-defense zone is divided proportionally according to the length of the total monitoring section, and each monitoring sub-defense zone is numbered in sequence. For each monitoring sub-defense zone, a temperature sensor is installed proportionally to the length of each monitoring sub-defense zone, and the temperature monitoring and collection time interval in each monitoring sub-defense zone is set to Ki. The temperature data information of each monitoring sub-defense zone is collected in real time through the temperature sensor to obtain the temperature parameter value of each monitoring sub-defense zone;

[0008] The acquired temperature parameter values ​​corresponding to each monitoring sub-defense zone are sent to the soil temperature analysis module.

[0009] The soil temperature analysis module analyzes the temperature changes of each monitoring defense zone according to the received temperature parameter values, and sends the analysis results to the early warning module. The specific acquisition process is as follows:

[0010] The input end of the soil temperature analysis module is connected to the output end of the data center, and the input end of the early warning module is connected to the output end of the soil temperature analysis module. According to the received temperature parameter values ​​of each monitoring sub-defense zone, analysis is performed, and the trigger time 0 for starting the calculation of heating and cooling changes is set. For any monitoring sub-defense zone, the temperature monitoring time point at any previous time is obtained, marked as the initial time point, and then the temperature monitoring time point at the current time is cut off, marked as the terminal time point, and the initial time point and the terminal time point are subtracted to obtain the temperature change triggering duration, and all temperature parameter values ​​within the temperature change triggering duration are obtained. All adjacent two temperature parameter values ​​within the temperature change triggering duration are subtracted to obtain each temperature change value within the temperature change triggering duration, and the temperature change values ​​are arranged from small to large to obtain the maximum temperature change value, which is marked as the temperature change peak value. Extract the preset cooling peak value and the preset heating peak value of the data center. If the temperature change peak value is a positive number, compare the temperature change peak value with the preset heating peak value. If the temperature change peak value is greater than the preset heating peak value, mark the terminal time point as time 0, and generate a heating signal to send to the leakage triple progressive analysis module. If the temperature change peak value is a negative number, compare the temperature change peak value with the preset cooling peak value. If the temperature change peak value is greater than the preset cooling peak value, mark the terminal time point as time 0, and generate a cooling signal to send to the leakage triple progressive analysis module; divide the obtained temperature change trigger duration into several temperature change sub-durations in proportion, obtain the temperature parameter value at the start time and the temperature parameter value at the end time within the temperature change sub-duration, mark them as FG and FD respectively, and then obtain the number of acquisitions within the temperature change sub-duration, mark them as FK. The average temperature change value FQ of each temperature change time period is obtained, the difference between two adjacent temperature change average values ​​is calculated to obtain the temperature change difference, and then the temperature change difference is divided by the temperature change time period to obtain the change rate of the temperature change average value, and the preset change rate of the data center is extracted. The change rate of the temperature change average value is compared with the preset change rate. If the change rate of the temperature change average value is greater than the preset change rate, the terminal time point is marked as time 0, and an abnormal signal is generated and sent to the triple progressive analysis module for leakage.

[0011] The triple progressive leakage analysis module compares and calculates the triple progressive leakage effects to determine whether the monitoring sub-defense area that triggers the calculation and prediction alarm has leaked. The specific acquisition process is as follows:

[0012] The output end of the soil temperature analysis module is connected to the input end of the leakage triple progressive analysis module, and the output end of the triple progressive analysis module is connected to the input end of the early warning processing module. After receiving the signals sent by the soil temperature analysis module, the monitoring and early warning program is started and a calculation is started. The first temperature change calculation duration is set, and the monitored temperature of the triggered temperature change calculation sub-zone within the first temperature change calculation duration and the temperature monitored at time 0 are calculated. The temperature change peak value and the temperature change average value are marked as the first temperature change peak value and the first temperature change average value respectively, and the first temperature change peak value setting value and the first temperature change peak value setting value of the data center are extracted. The first temperature change peak value and the first temperature change average value are compared with the first temperature change peak value setting value and the first temperature change peak value setting value. If not, If the temperature exceeds the first temperature change peak setting value and the first temperature change average setting value, the calculation prediction alarm is not triggered, and a secondary calculation signal is generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the secondary calculation signal and starts the secondary calculation, sets the second temperature change calculation duration, and continues to obtain the monitoring temperature of the triggered temperature change calculation sub-defense zone within the second temperature change calculation duration and the temperature monitored at the end of the first temperature change calculation duration, calculate the temperature change peak value and the temperature change average value, mark them as the second temperature change peak value and the second temperature change average value, extract the second temperature change peak value setting value and the second temperature change average value setting value of the data center, compare the second temperature change peak value and the second temperature change average value with their corresponding setting values, if the second temperature change peak value and the second temperature change average value do not exceed their corresponding The corresponding set value is obtained by adding the second temperature change peak value to the first temperature change peak value to obtain the second progressive temperature change peak value, and adding the second temperature change average value to the first temperature change average value to obtain the second progressive temperature change average value, extracting the second progressive temperature change peak value setting value and the second progressive temperature change average value setting value of the data center, and comparing the second progressive temperature change peak value and the second progressive temperature change average value with their corresponding set values. If the second progressive temperature change peak value and the second progressive temperature change average value are less than their corresponding set values, three calculation signals are generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the three calculation signals and starts the three calculations, sets the third temperature change calculation time, obtains the trigger temperature change calculation sub-zone within the third temperature change calculation time, and the monitoring temperature and the first temperature change calculation time are The temperature monitored at the end is subjected to temperature change peak value and temperature change average value calculation, which are marked as the third temperature change peak value and the third temperature change average value, and the third temperature change peak value setting value and the third temperature change average value setting value of the data center are extracted, and the third temperature change peak value and the third temperature change average value are compared with their corresponding setting values. If the third temperature change peak value and the third temperature change average value do not exceed their corresponding setting values, the third temperature change peak value is added to the second temperature change peak value to obtain the third progressive temperature change peak value, and the third temperature change average value is added to the second temperature change average value to obtain the third progressive temperature change average value, and the third progressive temperature change peak value and the third progressive temperature change average value of the data center are extracted, and the third progressive temperature change peak value and the third progressive temperature change average value are compared with their corresponding setting values.If the third progressive temperature change peak value and the third progressive temperature change average value are less than their corresponding set values, a stop signal is generated and sent to the monitoring and warning program, and the second round of temperature change calculation is terminated. On the contrary, if any calculated value in the above-mentioned first calculation, second calculation and third calculation exceeds its corresponding set value, a leakage warning signal is generated and sent to the warning processing module.

[0013] The early warning processing module obtains the location information of the sub-defense zone based on the received leakage early warning signal, and contacts personnel for maintenance. The specific acquisition process is as follows:

[0014] The positioning information of the monitoring sub-defense zone is obtained according to the positioning sensor, and the mobile phone terminal positioning of each maintenance personnel within the radius is obtained with the monitoring sub-defense zone as the circle point. The position of the monitoring sub-defense zone and the mobile phone terminal positioning of each maintenance personnel are connected to obtain each maintenance distance, and each maintenance distance is arranged from small to large. The minimum maintenance distance is obtained and the corresponding maintenance personnel are marked as preferred personnel, an emergency signal is generated and sent to the preferred personnel, and the preferred personnel receive the emergency signal and repair the oil and gas pipeline leakage in the monitoring sub-defense zone.

[0015] Reference Figure 2 As shown, the second aspect of the present invention provides a method for monitoring and early warning of oil and gas pipeline leakage, the steps of which are as follows:

[0016] F1. Data collection: Install a monitoring and early warning system according to site requirements, and use the system to monitor the soil temperature data within the total monitoring section in real time;

[0017] F2. Soil temperature analysis: Analyze the temperature changes of each monitoring zone according to the received temperature parameter values, and send the analysis results to the early warning module;

[0018] F3, triple progressive analysis of leakage: Based on the set triple progressive effect of leakage, it is determined whether the monitoring sub-defense area that triggers the calculation and prediction alarm has leakage;

[0019] F4. Early warning processing: Based on the received leakage early warning signal, obtain the location information of the sub-defense zone and contact personnel for maintenance.

[0020] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0021] Compared with the prior art, the beneficial effects of the present invention are: because of the use of triple progressive effects of leakage to compare and calculate whether there is a leak, the probability of false alarm and missed alarm is reduced, the problem that the temperature change caused by a small leak in a short period of time is not enough to trigger the pre-judgment alarm is solved, and the progressive perception and pre-judgment ability of small leaks is enhanced, which effectively reduces the risk of leakage accidents. Once the monitoring system detects data abnormalities, it can immediately trigger the early warning mechanism and quickly send early warning information to relevant personnel, which buys precious time for timely response measures, thereby minimizing the potential safety hazards caused by the leakage and protecting the lives and property of personnel. Using advanced data analysis algorithms, the data collected by the sensor is deeply analyzed and processed, and the oil and gas pipeline leakage is monitored and warned in a timely and effective manner, which can greatly reduce the occurrence of leakage accidents, thereby reducing the pollution of oil and gas to the environment. Oil and gas leakage will not only pollute the soil and water sources, but also cause harm to the air, affecting the ecological balance and the quality of life of surrounding residents. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0023] Figure 1 It is a principle block diagram of the present invention.

[0024] Figure 2 It is a diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0026] Please refer to Figure 1 As shown, the first aspect of the present invention provides a system for monitoring and early warning of oil and gas pipeline leakage, including a data acquisition module, a soil temperature analysis module, a triple progressive leakage analysis module, an early warning processing module and a data center.

[0027] The data acquisition module installs a monitoring and early warning system according to on-site needs, and uses the system to monitor the soil temperature data within the total monitoring section in real time. The specific acquisition process is as follows:

[0028] The output end of the data acquisition module is connected to the input end of the soil temperature analysis module to obtain the length of the current total monitoring section, divide the length of each monitoring sub-defense zone into equal proportions according to the length of the total monitoring section, and number each monitoring sub-defense zone in sequence. For each monitoring sub-defense zone, a temperature sensor is installed in proportion to the length of each monitoring sub-defense zone, and the temperature monitoring and collection time interval in each monitoring sub-defense zone is set to Ki. The temperature data information of each monitoring sub-defense zone is collected in real time through the temperature sensor to obtain the temperature parameter values ​​of each monitoring sub-defense zone; the obtained temperature parameter values ​​corresponding to each monitoring sub-defense zone are sent to the soil temperature analysis module.

[0029] The soil temperature analysis module analyzes the temperature changes of each monitoring defense zone according to the received temperature parameter values, and sends the analysis results to the early warning module. The specific acquisition process is as follows:

[0030] The input end of the soil temperature analysis module is connected to the output end of the data center, and the input end of the early warning module is connected to the output end of the soil temperature analysis module. According to the received temperature parameter values ​​of each monitoring sub-defense zone, analysis is performed, and the trigger time 0 for starting the calculation of heating and cooling changes is set. For any monitoring sub-defense zone, the temperature monitoring time point at any previous moment is obtained, marked as the initial time point, and then the temperature monitoring time point at the current moment is cut off, marked as the terminal time point, and the initial time point and the terminal time point are subtracted to obtain the temperature change triggering duration, and all temperature parameter values ​​within the temperature change triggering duration are obtained. All adjacent two temperature parameter values ​​within the temperature change triggering duration are subtracted to obtain the temperature change triggering duration. The temperature change values ​​in the data center are arranged from small to large to obtain the maximum temperature change value, which is marked as the temperature change peak value. The preset cooling peak value and the preset heating peak value of the data center are extracted. If the temperature change peak value is a positive number, the temperature change peak value is compared with the preset heating peak value. If the temperature change peak value is greater than the preset heating peak value, the terminal time point is marked as time 0, and a heating signal is generated and sent to the leakage triple progressive analysis module. If the temperature change peak value is a negative number, the temperature change peak value is compared with the preset cooling peak value. If the temperature change peak value is greater than the preset cooling peak value, the terminal time point is marked as time 0, and a cooling signal is generated and sent to the leakage triple progressive analysis module.

[0031] Divide the obtained temperature change trigger duration into several temperature change sub-durations in equal proportion, obtain the temperature parameter value at the start time and the temperature parameter value at the end time within the temperature change sub-duration, mark them as FG and FD respectively, and then obtain the number of acquisitions within the temperature change sub-duration, mark them as FK. The average temperature change value FQ of each temperature change time period is obtained, the difference between two adjacent temperature change average values ​​is calculated to obtain the temperature change difference, and then the temperature change difference is divided by the temperature change time period to obtain the change rate of the temperature change average value, and the preset change rate of the data center is extracted. The change rate of the temperature change average value is compared with the preset change rate. If the change rate of the temperature change average value is greater than the preset change rate, the terminal time point is marked as time 0, and an abnormal signal is generated and sent to the triple progressive analysis module for leakage.

[0032] The triple progressive leakage analysis module compares and calculates the triple progressive leakage effects to determine whether the monitoring sub-defense area that triggers the calculation and prediction alarm has leaked. The specific acquisition process is as follows:

[0033] The output end of the soil temperature analysis module is connected to the input end of the leakage triple progressive analysis module, and the output end of the triple progressive analysis module is connected to the input end of the early warning processing module. After receiving the signals sent by the soil temperature analysis module, the monitoring and early warning program is started and a calculation is started. The first temperature change calculation duration is set, and the monitored temperature of the triggered temperature change calculation sub-zone within the first temperature change calculation duration and the temperature monitored at time 0 are calculated. The temperature change peak value and the temperature change average value are marked as the first temperature change peak value and the first temperature change average value respectively, and the first temperature change peak value setting value and the first temperature change peak value setting value of the data center are extracted. The first temperature change peak value and the first temperature change average value are compared with the first temperature change peak value setting value and the first temperature change peak value setting value. If not, If the temperature exceeds the first temperature change peak setting value and the first temperature change average setting value, the calculation prediction alarm is not triggered, and a secondary calculation signal is generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the secondary calculation signal and starts the secondary calculation, sets the second temperature change calculation duration, and continues to obtain the monitoring temperature of the triggered temperature change calculation sub-defense zone within the second temperature change calculation duration and the temperature monitored at the end of the first temperature change calculation duration, calculate the temperature change peak value and the temperature change average value, mark them as the second temperature change peak value and the second temperature change average value, extract the second temperature change peak value setting value and the second temperature change average value setting value of the data center, compare the second temperature change peak value and the second temperature change average value with their corresponding setting values, if the second temperature change peak value and the second temperature change average value do not exceed their corresponding The corresponding set value is obtained by adding the second temperature change peak value to the first temperature change peak value to obtain the second progressive temperature change peak value, and adding the second temperature change average value to the first temperature change average value to obtain the second progressive temperature change average value, extracting the second progressive temperature change peak value setting value and the second progressive temperature change average value setting value of the data center, and comparing the second progressive temperature change peak value and the second progressive temperature change average value with their corresponding set values. If the second progressive temperature change peak value and the second progressive temperature change average value are less than their corresponding set values, three calculation signals are generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the three calculation signals and starts the three calculations, sets the third temperature change calculation time, obtains the trigger temperature change calculation sub-zone within the third temperature change calculation time, and the monitoring temperature and the first temperature change calculation time are The temperature monitored at the end is subjected to temperature change peak value and temperature change average value calculation, which are marked as the third temperature change peak value and the third temperature change average value, and the third temperature change peak value setting value and the third temperature change average value setting value of the data center are extracted, and the third temperature change peak value and the third temperature change average value are compared with their corresponding setting values. If the third temperature change peak value and the third temperature change average value do not exceed their corresponding setting values, the third temperature change peak value is added to the second temperature change peak value to obtain the third progressive temperature change peak value, and the third temperature change average value is added to the second temperature change average value to obtain the third progressive temperature change average value, and the third progressive temperature change peak value and the third progressive temperature change average value of the data center are extracted, and the third progressive temperature change peak value and the third progressive temperature change average value are compared with their corresponding setting values.If the third progressive temperature change peak value and the third progressive temperature change average value are less than their corresponding set values, a stop signal is generated and sent to the monitoring and warning program, and the second round of temperature change calculation is terminated. On the contrary, if any calculated value in the above-mentioned first calculation, second calculation and third calculation exceeds its corresponding set value, a leakage warning signal is generated and sent to the warning processing module.

[0034] The early warning processing module obtains the location information of the sub-defense zone based on the received leakage early warning signal, and contacts personnel for maintenance. The specific acquisition process is as follows:

[0035] The positioning information of the monitoring sub-defense zone is obtained according to the positioning sensor, and the mobile phone terminal positioning of each maintenance personnel within the radius is obtained with the monitoring sub-defense zone as the circle point. The position of the monitoring sub-defense zone and the mobile phone terminal positioning of each maintenance personnel are connected to obtain each maintenance distance, and each maintenance distance is arranged from small to large. The minimum maintenance distance is obtained and the corresponding maintenance personnel are marked as preferred personnel, an emergency signal is generated and sent to the preferred personnel, and the preferred personnel receive the emergency signal and repair the oil and gas pipeline leakage in the monitoring sub-defense zone.

[0036] Reference Figure 2 As shown, the second aspect of the present invention provides a method for monitoring and early warning of oil and gas pipeline leakage, the steps of which are as follows:

[0037] F1. Install a monitoring and early warning system according to site requirements, and use the system to monitor the soil temperature data within the total monitoring section in real time;

[0038] F2. Analyze the temperature changes of each monitoring defense zone according to the received temperature parameter values;

[0039] F3. According to the set leakage triple progressive effect comparison calculation, determine whether the monitoring sub-defense area that triggers the calculation prediction alarm has leakage;

[0040] F4. Receive the leakage warning signal, obtain the location information of the sub-defense zone, and contact personnel for maintenance.

[0041] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0042] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A system for monitoring and early warning of oil and gas pipeline leakage, comprising a data acquisition module, a triple progressive leakage analysis module, an early warning processing module and a data center, characterized in that: Also includes a soil temperature analysis module; The soil temperature analysis module analyzes the temperature changes of each monitoring sub-defense zone according to the received temperature parameter values, sets the trigger time 0 to start the calculation of the heating and cooling changes, obtains the temperature monitoring time point at any previous time for any monitoring sub-defense zone, marks it as the initial time point, and then ends the temperature monitoring time point at the current time, marks it as the terminal time point, subtracts the initial time point from the terminal time point to obtain the temperature change triggering duration, obtains all temperature parameter values ​​within the temperature change triggering duration, subtracts all two adjacent temperature parameter values ​​within the temperature change triggering duration to obtain each temperature change value within the temperature change triggering duration, arranges the temperature change values ​​from small to large, obtains the maximum temperature change value, marks it as the temperature change peak value, extracts the preset cooling peak value and preset Temperature rise peak value. If the temperature change peak value is a positive number, the temperature change peak value is compared with the preset temperature rise peak value. If the temperature change peak value is greater than the preset temperature rise peak value, the terminal time point is marked as time 0, and a temperature rise signal is generated and sent to the leakage triple progressive analysis module. If the temperature change peak value is a negative number, the temperature change peak value is compared with the preset temperature drop peak value. If the temperature change peak value is greater than the preset temperature drop peak value, the terminal time point is marked as time 0, and a temperature drop signal is generated and sent to the leakage triple progressive analysis module; the obtained temperature change trigger duration is proportionally divided into several temperature change sub-durations, and the temperature parameter value at the start time and the temperature parameter value at the end time within the temperature change sub-duration are obtained, marked as FG and FD respectively, and then the number of acquisitions within the temperature change sub-duration is obtained, marked as FK, The average temperature change value FQ of each temperature change time period is obtained, the difference between two adjacent temperature change average values ​​is calculated to obtain the temperature change difference, and then the temperature change difference is divided by the temperature change time period to obtain the change rate of the temperature change average value, and the preset change rate of the data center is extracted. The change rate of the temperature change average value is compared with the preset change rate. If the change rate of the temperature change average value is greater than the preset change rate, the terminal time point is marked as time 0, and an abnormal signal is generated and sent to the triple progressive analysis module for leakage.

2. The system for monitoring and early warning of oil and gas pipeline leakage according to claim 1 is characterized in that: The triple progressive leakage analysis module compares and calculates the triple progressive leakage effects to determine whether the monitoring sub-defense area that triggers the calculation and prediction alarm has leaked. The specific process is as follows: The output end of the soil temperature analysis module is connected to the input end of the leakage triple progressive analysis module, and the output end of the triple progressive analysis module is connected to the input end of the early warning processing module. After receiving the signals sent by the soil temperature analysis module, the monitoring and early warning program is started and a calculation is started. The first temperature change calculation duration is set, and the monitored temperature of the triggered temperature change calculation sub-zone within the first temperature change calculation duration and the temperature monitored at time 0 are calculated. The temperature change peak value and the temperature change average value are marked as the first temperature change peak value and the first temperature change average value respectively, and the first temperature change peak value setting value and the first temperature change peak value setting value of the data center are extracted. The first temperature change peak value and the first temperature change average value are compared with the first temperature change peak value setting value and the first temperature change peak value setting value. If not, If the temperature exceeds the first temperature change peak setting value and the first temperature change average setting value, the calculation prediction alarm is not triggered, and a secondary calculation signal is generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the secondary calculation signal and starts the secondary calculation, sets the second temperature change calculation duration, and continues to obtain the monitoring temperature of the triggered temperature change calculation sub-defense zone within the second temperature change calculation duration and the temperature monitored at the end of the first temperature change calculation duration, calculate the temperature change peak value and the temperature change average value, mark them as the second temperature change peak value and the second temperature change average value, extract the second temperature change peak value setting value and the second temperature change average value setting value of the data center, compare the second temperature change peak value and the second temperature change average value with their corresponding setting values, if the second temperature change peak value and the second temperature change average value do not exceed their corresponding The corresponding set value is obtained by adding the second temperature change peak value to the first temperature change peak value to obtain the second progressive temperature change peak value, and adding the second temperature change average value to the first temperature change average value to obtain the second progressive temperature change average value, extracting the second progressive temperature change peak value setting value and the second progressive temperature change average value setting value of the data center, and comparing the second progressive temperature change peak value and the second progressive temperature change average value with their corresponding set values. If the second progressive temperature change peak value and the second progressive temperature change average value are less than their corresponding set values, three calculation signals are generated and sent to the monitoring and early warning program. The monitoring and early warning program receives the three calculation signals and starts the three calculations, sets the third temperature change calculation time, obtains the trigger temperature change calculation sub-zone within the third temperature change calculation time, and the monitoring temperature and the first temperature change calculation time are The temperature monitored at the end is subjected to temperature change peak value and temperature change average value calculation, which are marked as the third temperature change peak value and the third temperature change average value, and the third temperature change peak value setting value and the third temperature change average value setting value of the data center are extracted, and the third temperature change peak value and the third temperature change average value are compared with their corresponding setting values. If the third temperature change peak value and the third temperature change average value do not exceed their corresponding setting values, the third temperature change peak value is added to the second temperature change peak value to obtain the third progressive temperature change peak value, and the third temperature change average value is added to the second temperature change average value to obtain the third progressive temperature change average value, and the third progressive temperature change peak value and the third progressive temperature change average value of the data center are extracted, and the third progressive temperature change peak value and the third progressive temperature change average value are compared with their corresponding setting values.If the third progressive temperature change peak value and the third progressive temperature change average value are less than their corresponding set values, a stop signal is generated and sent to the monitoring and warning program, and the second round of temperature change calculation is terminated. On the contrary, if any calculated value in the above-mentioned first calculation, second calculation and third calculation exceeds its corresponding set value, a leakage warning signal is generated and sent to the warning processing module.

3. The system for monitoring and early warning of oil and gas pipeline leakage according to claim 2 is characterized in that: The early warning processing module receives the leakage early warning signal, obtains the location information of the sub-defense zone, and contacts personnel for maintenance. The specific process is as follows: The positioning information of the monitoring sub-defense zone is obtained according to the positioning sensor, and the mobile phone terminal positioning of each maintenance personnel within the radius is obtained with the monitoring sub-defense zone as the circle point. The position of the monitoring sub-defense zone and the mobile phone terminal positioning of each maintenance personnel are connected to obtain each maintenance distance, and each maintenance distance is arranged from small to large. The minimum maintenance distance is obtained and the corresponding maintenance personnel are marked as preferred personnel, an emergency signal is generated and sent to the preferred personnel, and the preferred personnel receive the emergency signal and repair the oil and gas pipeline leakage in the monitoring sub-defense zone.

4. The system for monitoring and early warning of oil and gas pipeline leakage according to claim 1 is characterized in that: The data acquisition module installs a monitoring and early warning system according to on-site needs, and uses the system to monitor the soil temperature data within the total monitoring section in real time. The specific process is as follows: The output end of the data acquisition module is connected to the input end of the soil temperature analysis module to obtain the length of the current total monitoring section, and the length of each monitoring sub-defense zone is divided proportionally according to the length of the total monitoring section, and each monitoring sub-defense zone is numbered in sequence. For each monitoring sub-defense zone, a temperature sensor is installed proportionally to the length of each monitoring sub-defense zone, and the temperature monitoring and collection time interval in each monitoring sub-defense zone is set to Ki. The temperature data information of each monitoring sub-defense zone is collected in real time through the temperature sensor to obtain the temperature parameter value of each monitoring sub-defense zone; The acquired temperature parameter values ​​corresponding to each monitoring sub-defense zone are sent to the soil temperature analysis module.

5. A method for monitoring and early warning of oil and gas pipeline leakage, characterized in that: The system for monitoring and early warning of oil and gas pipeline leakage as described in any one of claims 1 to 4 comprises the following specific steps: F1. Data collection: Install a monitoring and early warning system according to site requirements, and use the system to monitor the soil temperature data within the total monitoring section in real time; F2. Soil temperature analysis: Analyze the temperature changes of each monitoring zone according to the received temperature parameter values, and send the analysis results to the early warning module; F3, triple progressive analysis of leakage: Based on the set triple progressive effect of leakage, it is determined whether the monitoring sub-defense area that triggers the calculation and prediction alarm has leakage; F4. Early warning processing: Based on the received leakage early warning signal, obtain the location information of the sub-defense zone and contact personnel for maintenance.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the system for monitoring and early warning of oil and gas pipeline leakage according to any one of claims 1 to 4 is implemented.

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