Buried plastic pipe leakage monitoring method and system

By setting up sensor arrays on buried plastic pipes and establishing a temperature-time database, the temperature difference can be monitored and compared in real time, solving the efficiency and accuracy problems in buried plastic pipe leakage monitoring and achieving efficient and accurate leakage location.

CN120910474APending Publication Date: 2025-11-07SHIHEZI UNIVERSITY
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Patent Information

Application Number
CN202511248121.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-03
Publication Date
2025-11-07

AI Technical Summary

Technical Problem

Existing technologies are insufficient for efficiently and accurately monitoring leaks in buried plastic pipes, and are also affected by ground noise interference and differences in soil thermal inertia, resulting in insufficient monitoring efficiency and accuracy.

Method used

By setting up multiple sensor groups along the axial direction of the buried plastic pipe, the measured temperature values ​​and time are obtained, a temperature-time database is established, the difference between the measured and theoretical temperatures is compared, the leakage signal is determined and the leakage point is located, and the signal processing priority of the sensor group is optimized.

Benefits of technology

It improves the efficiency and accuracy of buried plastic pipe leakage monitoring, enhances anti-interference capabilities, and ensures real-time monitoring and accurate location.

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Abstract

The invention discloses a plastic pipe leakage monitoring method and system, and belongs to the field of pipeline leakage detection, and the monitoring method comprises the steps: obtaining an actual measurement temperature value and actual measurement monitoring time based on a sensor group disposed in the axial direction of a buried plastic pipe; establishing a temperature-time database; based on the actually measured monitoring time, obtaining the corresponding historical temperature value from the temperature-time database to obtain a theoretical temperature value; acquiring a leakage signal measurement sensor when a temperature difference value between the actually measured temperature value and the theoretical temperature value is not lower than a preset temperature difference value, and acquiring leakage signal measurement time; acquiring the leakage point of the buried plastic pipe based on the leakage signal acquisition time and the position of the leakage signal measurement sensor; and after the leakage point of the buried plastic pipe is processed, the leakage signal processing priority of the sensor group in the processing area of the buried plastic pipe is improved. The problem that the leakage monitoring efficiency and precision of the buried plastic pipe are insufficient is solved, and the monitoring real-time performance and precision of the leakage point are improved.
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Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of pipeline leak detection, and particularly relates to a buried plastic pipe leak monitoring method and system. BACKGROUND

[0002] At present, whether it is a municipal system or a facility agricultural system, underground buried pipelines have been gradually promoted to reduce water resource loss by delivering water to target locations. Such pipelines need to avoid leakage problems during operation. Buried plastic pipelines, such as PE and PVC pipelines, have been widely used due to their corrosion resistance and easy installation. Corresponding leak monitoring systems and methods have also been developed. However, in the current buried plastic pipe leak monitoring, the vibration wave monitoring method and the pipe wall electromagnetic detection method used for steel pipe leak detection are difficult to apply. The former is difficult to effectively capture the leakage signal due to the high damping characteristics of plastic materials, and the latter is difficult to obtain electromagnetic detection signals due to the non-conductive characteristics of plastic pipe walls. In addition, the cost of the optical fiber sensing system is too high, and the acoustic monitoring method is highly disturbed by ground noise, resulting in a large error. The temperature detection method mainly uses infrared imaging vehicles for inspection, which is difficult to achieve real-time monitoring of leakage points and is difficult to eliminate regional differences in soil thermal inertia. These problems greatly reduce the efficiency and accuracy of buried plastic pipe leak monitoring.

[0003] Therefore, how to establish an efficient and high-precision leak monitoring method and system for buried plastic pipes is a technical problem that needs to be solved by those skilled in the art. SUMMARY

[0004] In order to solve the problems of real-time monitoring and insufficient monitoring accuracy in the current buried plastic pipe leak monitoring, the application discloses a buried plastic pipe leak monitoring method and system to achieve efficient and high-precision monitoring of buried plastic pipe leaks. Specifically, First aspect: A buried plastic pipe leak monitoring method, the method comprising: Based on a plurality of sensor groups arranged along the axial direction of the buried plastic pipe, obtaining the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe; Based on the historical temperature value and the historical monitoring time of the environment around the buried plastic pipe, obtaining a temperature-time database of the environment around the buried plastic pipe; Based on the measured monitoring time, obtaining the corresponding historical temperature value from the temperature-time database to obtain a theoretical temperature value; When the temperature difference between the measured temperature value and the theoretical temperature value is not less than a preset temperature difference, obtaining a leak signal measured sensor and a leak signal measured time. acquire the leakage point of the buried plastic pipe based on the leakage signal acquisition time and the position of the sensor measured by the leakage signal; After the leakage point of the buried plastic pipe is processed, the leakage signal processing priority of the sensor group in the processing area of the buried plastic pipe is improved to realize key monitoring of the leakage point processing area.

[0005] Optionally, the plurality of sensor groups arranged along the axial direction of the buried plastic pipe acquire the measured temperature value of the environment around the buried plastic pipe and the measured monitoring time, comprising: The sensor group comprises no less than 3 sensors arranged around the buried plastic pipe; The plurality of sensor groups are uniformly arranged along the axial direction of the buried plastic pipe, and the adjacent sensor connecting lines between the sensor groups are parallel to the axial line of the buried plastic pipe; The sensors in the sensor group continuously acquire the measured temperature value of the position where the sensor is located and the measured monitoring time when the measured temperature value is acquired, to obtain the measured temperature value of the environment around the buried plastic pipe and the measured monitoring time.

[0006] Optionally, the historical temperature value and the historical monitoring time of the environment around the buried plastic pipe are acquired to obtain a temperature-time database of the environment around the buried plastic pipe, comprising: Based on the historical temperature value and the corresponding historical monitoring time collected by the plurality of sensor groups, a historical temperature curve is established; Based on the historical temperature curve, a temperature stable interval, a temperature unstable interval and a temperature mutation interval are acquired, and the corresponding time period is acquired; The temperature mutation interval and the corresponding time period are removed to acquire a processed data interval; The average value of the historical temperature value of the temperature stable interval in the processed data interval is acquired, and the corresponding time period is acquired to obtain a temperature stable period; The historical temperature value of the temperature unstable interval in the processed data interval is acquired, and the corresponding historical monitoring time is acquired to obtain a temperature change period; The corresponding relationship between the temperature stable period and the average value of the historical temperature value, and the corresponding relationship between the historical monitoring time in the temperature change period and the historical temperature value are established, and are set into the database to obtain a temperature-time database.

[0007] Optionally, the corresponding historical temperature value is acquired from the temperature-time database based on the measured monitoring time to obtain a theoretical temperature value, comprising: The measured monitoring time is acquired, and the measured monitoring time is compared with the temperature-time database to acquire the corresponding historical monitoring time in the temperature-time database; Based on the historical monitoring time, the corresponding historical temperature value or the average of the historical temperature values is obtained to obtain a theoretical temperature value.

[0008] Optionally, when the temperature difference between the measured temperature value and the theoretical temperature value is not less than a preset temperature difference, a leakage signal measured sensor is obtained, and a leakage signal measured time is obtained, including: The temperature difference between the measured temperature value and the theoretical temperature value is obtained to obtain a temperature deviation amount. The temperature deviation amount and the preset temperature difference are compared, and if the temperature deviation amount is not less than the preset temperature difference, a sensor obtaining the measured temperature value is obtained to obtain a leakage signal measured sensor. The time when the leakage signal measured sensor obtains the measured temperature value is obtained to obtain a leakage signal measured time.

[0009] Optionally, before the leakage signal measured time is obtained, it further includes: The positions of the sensors in each sensor group are obtained, and the sensor closest to the ground in each sensor group is obtained. When any one of the sensors closest to the ground is the leakage signal measured sensor, the leakage signal measured sensor is adjusted to be the leakage signal measured sensor closest to the ground, and the soil moisture at the position of the leakage signal measured sensor closest to the ground is obtained. The soil moisture of other sensors closest to the ground within a preset time length is obtained with the leakage signal measured sensor closest to the ground as the center. Within the preset time length, when the soil moisture changes of the sensor closest to the ground and the leakage signal measured sensor closest to the ground are the same, the leakage signal measured sensor closest to the ground is adjusted to be a non-leakage signal measured sensor.

[0010] Optionally, based on the leakage signal acquisition time and the position of the leakage signal measured sensor, the leakage point of the buried plastic pipe is obtained, including: Based on the positions of all the leakage signal measured sensors, the leakage signal acquisition times and the center points of adjacent sensors between different sensor groups in the plurality of sensor groups are obtained. All the center points are connected to obtain a center point connection surface, and the intersection of the center point connection surface and the buried plastic pipe is obtained to obtain a possible leakage point. Based on the leakage signal acquisition times of the adjacent sensors between different sensor groups in reverse order, the leakage signal measured sensors corresponding to the leakage signal acquisition times are connected to obtain a sensor connection direction. Obtaining the number of occurrences of all the sensor connection directions, and the sensor connection direction with the largest number of occurrences is the possible leakage point direction of the buried plastic pipe leakage point, obtaining the buried plastic pipe leakage point compared to the possible leakage point direction; Obtaining the sensor closest to the possible leakage point in the buried plastic pipe leakage point direction and obtaining the vertical projection of the sensor closest to the possible leakage point on the buried plastic pipe, obtaining the projection point; Obtaining the buried plastic pipe leakage point between the projection point and the possible leakage point.

[0011] Optionally, after processing the buried plastic pipe leakage point, the sensor group in the buried plastic pipe processing area is improved in the leakage signal processing priority to realize the key monitoring of the leakage point processing area, including: Processing the buried plastic pipe leakage point and obtaining the processing position point; Obtaining the sensor group closest to the processing position point, obtaining the center sensor group; At the same time, obtaining a plurality of sensor groups on both sides of the center sensor group, obtaining the edge sensor group; Obtaining the distance between the edge sensor group and the processing position point, and setting the leakage signal processing priority.

[0012] Second aspect: A buried plastic pipe leakage monitoring system for realizing the buried plastic pipe leakage monitoring method of the first aspect, the system comprising a reference database construction module, a sensor group, an intelligent diagnosis module and a leakage point positioning module, wherein: The sensor group and the reference database construction module are connected, the sensor group is used to obtain the buried plastic pipe surrounding environment data, and the reference database construction module is used to establish the temperature-time database of the buried plastic pipe surrounding environment obtained by the sensor group; The sensor group is also connected with the intelligent diagnosis module, the intelligent diagnosis module is used to obtain the measured temperature value and the measured monitoring time of the plastic pipe surrounding environment, and the leakage state of the buried plastic pipe is obtained; The leakage point positioning module and the intelligent diagnosis module are connected, and the buried plastic pipe leakage point is obtained.

[0013] Optionally: The reference database construction module comprises: A data receiving unit is used to obtain the buried plastic pipe surrounding environment data obtained by the sensor group; A data processing unit is connected with the data receiving unit and is used to create a historical temperature curve based on the buried plastic pipe surrounding environment data, and obtain the temperature stable period and the temperature change period; a correspondence creating unit, connected with the data processing unit, for establishing a correspondence between a temperature stable period or a temperature change period and a historical temperature value; the data processing unit, comprising: a temperature analyzing unit for creating the obtained ambient data of the buried plastic pipe into a historical temperature curve, and obtaining a temperature stable interval and a temperature unstable interval based on the historical temperature curve; a time obtaining unit, connected with the temperature analyzing unit, for obtaining a start time and an end time corresponding to the temperature stable interval and the temperature unstable interval; a period establishing unit, connected with the temperature analyzing unit and the time obtaining unit, for establishing a correspondence between the temperature stable interval and the corresponding start time and end time, and a correspondence between the temperature unstable interval and the corresponding start time and end time; the sensor group, comprising: a temperature sensor, the temperature sensor being not less than 3, and being arranged around the buried plastic pipe; a humidity sensor, the humidity sensor being arranged at the same position as the temperature sensor closest to the ground surface; a vacuum heat insulation packaging device, arranged outside the temperature sensor and / or the humidity sensor, for excluding the ground surface temperature interference on the non-contact surface of the temperature sensor; the intelligent detection module, comprising: a measured temperature obtaining unit for obtaining a measured temperature value and a measured monitoring time of the ambient environment of the buried plastic pipe; a theoretical temperature obtaining unit for obtaining a theoretical temperature value based on the measured monitoring time and a temperature-time database of the ambient environment of the buried plastic pipe; a leakage analyzing unit for comparing the theoretical temperature value and the measured temperature value to determine whether the buried plastic pipe leaks; a humidity interference detection unit for, when determining the leakage of the buried plastic pipe based on the temperature sensor closest to the ground surface, simultaneously obtaining a plurality of humidity sensors to determine whether the leakage signal of the buried plastic pipe is correct; a priority setting module for determining the priority of the leakage signal obtained by the sensor group after processing the leakage problem of the buried plastic pipe; the leakage point positioning module, comprising: a center point determining unit for, when the sensor group obtains the leakage signal, obtaining the center point of all adjacent sensors that obtain the leakage signal between adjacent sensor groups; A possibility leakage point determination unit is configured to connect the center points two by two to obtain a center point connection surface, and obtain an intersection of the center point connection surface and the buried plastic pipe to obtain a possibility leakage point. A leakage direction determination unit is configured to, when the sensor group obtains a leakage signal, obtain a measured monitoring time of all adjacent sensors obtaining the leakage signal between adjacent sensor groups, and obtain a sequence of the adjacent sensors obtaining the leakage signal corresponding to the measured monitoring time based on time in reverse order to obtain a leakage point direction. A leakage point positioning unit is configured to obtain a buried plastic pipe leakage point position according to the possibility leakage point, the leakage direction, and an edge leakage signal measured sensor obtaining the leakage signal in the leakage point direction.

[0014] The beneficial effects of the present application include: 1. The monitoring efficiency is improved. In the technical scheme of the present application, the sensor group is arranged in the axial direction of the buried plastic pipe, the sensor group continuously obtains soil temperature data, and based on the data, a theoretical data of soil temperature is established to obtain a reference value, and the obtained soil temperature data and the continuously updated theoretical data are compared to obtain the temperature change in real time.

[0015] 2. The monitoring accuracy is improved. In the technical scheme of the present application, based on the arranged sensor group, the theoretical data of soil temperature can be updated in real time, and the obtained soil temperature data and the obtained theoretical data can be compared. Based on the real-time updating of the theoretical data, the accuracy of the theoretical data can be improved, thereby ensuring the improvement of the monitoring accuracy.

[0016] 3. The anti-interference ability is improved. In the technical scheme of the present application, when the temperature sensor closest to the ground surface considers that the current temperature parameter means that the buried plastic pipe leaks, the humidity parameters of the regions where the multiple sensors closest to the ground surface are located are obtained at the same time. When it is found that the humidity change is the same, it is considered that the signal obtained by the temperature sensor is a false alarm. Because when this situation occurs, it means that the region is raining or artificially irrigated, and the obtained temperature change is not caused by the leakage of the buried plastic pipe. Therefore, by using this method, the anti-interference ability in the case of soil temperature change caused by rainfall or artificial irrigation is fully improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments of the present application or the prior art. Obviously, the following description is only some embodiments of the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative work on the premise of the drawings can also fall within the scope of the present application. The drawings are used to provide further understanding of the present disclosure and constitute a part of the specification, and are used to explain the present disclosure together with the following specific embodiments, but do not constitute a limitation on the present disclosure. In the drawings: Figure 1 A flow chart of a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 2 A sensor group arrangement schematic diagram in a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 3 A historical temperature curve diagram in a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 4 A temperature mutation interval in a historical temperature curve of a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 5 A water resource penetration effect schematic diagram of a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 6 A possible leakage point positioning schematic diagram of a buried plastic pipe leakage monitoring method provided by an embodiment of the present application; Figure 7 A buried plastic pipe monitoring system schematic diagram provided by an embodiment of the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work on the premise can also fall within the scope of the present application. In addition, in the embodiments of the present application, "first", "second", etc. are used to distinguish similar objects, not necessarily used to describe a specific order or sequence.

[0019] According to its role, the buried pipeline is divided into a pipeline that simply plays a role in transferring fluid, which needs to completely avoid leakage problems, and even if it leaks, it needs to be treated immediately. In order to improve the treatment effect, it needs to be quickly positioned. At present, for the analysis of the leakage point of the buried pipeline, some methods have been developed, but these methods are better for metal pipelines, and the technology has been basically perfected, but the leakage monitoring technology of buried plastic pipelines is not perfect. At present, the main method used in the leakage monitoring operation of the buried plastic pipe is to use an infrared imaging vehicle for monitoring. This method has obvious deficiencies in timeliness and efficiency in terms of leakage monitoring. At the same time, other plastic pipe leakage monitoring methods based on temperature monitoring measures have been developed, which have high real-time costs and poor resistance to interference factors, making the precision and efficiency of the buried plastic pipe leakage monitoring process insufficient.

[0020] In order to solve the problems existing in the current buried plastic pipe monitoring process, the application discloses a buried plastic pipe leakage monitoring method, as shown in Figure 1 The buried plastic pipe leakage monitoring method provided by the embodiment of the application is a flow chart, and specifically comprises the following steps: A buried plastic pipe leakage monitoring method, the method comprises: S110, based on a plurality of sensor groups arranged along the axial direction of the buried plastic pipe, obtaining the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe.

[0021] S120, based on the historical temperature value and the historical monitoring time of the environment around the buried plastic pipe, obtaining a temperature-time database of the environment around the buried plastic pipe.

[0022] S130, based on the measured monitoring time, obtaining the corresponding historical temperature value from the temperature-time database to obtain a theoretical temperature value.

[0023] S140, obtaining a leakage signal measured sensor when the temperature difference between the measured temperature value and the theoretical temperature value is not less than a preset temperature difference, and obtaining a leakage signal measurement time.

[0024] S150, based on the leakage signal acquisition time and the position of the leakage signal measured sensor, obtaining a leakage point of the buried plastic pipe.

[0025] S160, after treating the leakage point of the buried plastic pipe, improving the leakage signal processing priority of the sensor group in the treatment area of the buried plastic pipe to realize key monitoring of weak points.

[0026] The purpose of all the above steps is to obtain the soil temperature in the surrounding environment of the buried plastic pipe and establish a database, and then based on the monitoring time, obtain the comparison result of the currently obtained measured temperature value and the theoretical temperature value, determine whether the buried plastic pipe leaks, if it is determined that there is a leakage problem, obtain the leakage signal acquisition time of the sensors in different sensor groups and the leakage direction, obtain the leakage point position of the buried plastic pipe, and after processing the leakage point, improve the processing priority of the leakage signal obtained around the processing area, so as to perform key monitoring of the weak point.

[0027] In the following, all the above steps will be specifically described as follows: As described in step S110, the purpose of this step is to set multiple sensor groups for the buried plastic pipe, and the sensor groups continuously obtain the soil temperature at their location and the monitoring time, which is used as the basis for analyzing whether the buried plastic pipe leaks, and is also used as the basis for the theoretical temperature data in the database. Specifically: S111, the sensor group includes no less than 3 sensors, which are arranged around the buried plastic pipe.

[0028] The purpose of this step is to reasonably set the sensor group, so that the sensor group can accurately obtain the environmental data around the buried plastic pipe.

[0029] Among them, the sensor group contains no less than 3 sensors, and the sensors are arranged in axial symmetry and / or central symmetry.

[0030] Among them, the sensor group needs to be able to surround the buried plastic pipe, and the buried plastic pipe can be arranged at the geometric center of the plane formed by the sensor group.

[0031] In some embodiments, the eccentricity can be set based on the geological environment of the buried plastic pipe.

[0032] S112, the plurality of sensor groups are uniformly arranged along the axial direction of the buried plastic pipe, and the connecting line of the adjacent sensors between the sensor groups is parallel to the axis of the buried plastic pipe.

[0033] The purpose of this step is to set the relative position of the buried plastic pipe and the sensor group, so that the sensor group can monitor whether any position on the buried plastic pipe leaks in real time. As shown in Figure 2 The sensor group arrangement schematic diagram in the buried plastic pipe leakage monitoring method provided by the embodiment of the application is shown in the figure, and specifically: Among them, for the entire detected area of the buried plastic pipe, corresponding sensor groups need to be arranged around the buried plastic pipe to obtain the leakage signal.

[0034] Wherein, for the set sensor, all adjacent sensor connection lines between sensor groups need to be parallel to the axis of the buried plastic pipe, in order to avoid the too large error of the measured monitoring time due to the existing amount of position deviation.

[0035] Wherein, the adjacent sensor connection line between sensor groups refers to that, in any sensor group, the relative positions of different sensors and the buried plastic pipe can be determined, in the adjacent sensor group of the sensor group, the relative positions of different sensors and the buried plastic pipe can also be determined, and the two sensors with the same relative position to the buried plastic pipe in the two adjacent sensor groups are the sensors between the sensor groups, and the connection line thereof is the adjacent sensor connection line of the self-checking sensor group. Figure 2 (a) is the front view of the buried plastic pipe and sensor group combination system, it can be seen that A1~A n are all adjacent sensors between sensor groups, and B1~B n and C1~C n are also adjacent sensors, and A1, B1 and C1 are sensors in the same sensor group, the spacing between each sensor group is the same, and the step along the axial direction of the buried plastic pipe is uniform. Figure 2 (b) is the side view (along the axial direction of the buried plastic pipe) of the buried plastic pipe and sensor group combination system, wherein the projections of the adjacent sensors in the axial direction coincide, so as to ensure that the adjacent sensor connection line between the sensor groups is parallel to the axis of the buried plastic pipe.

[0036] Wherein, for the spacing of the sensor group, theoretically, the smaller the spacing, the higher the subsequent positioning accuracy, and considering the length of the pipe and the buried depth, in general, if the buried depth is deep, the spacing can be uniformly arranged at 0.5~1m, and if the buried depth is shallow, the spacing can be uniformly arranged at less than 0.5m.

[0037] Wherein, for the arrangement of the sensors in the sensor group, the spacing between the sensors and the pipe can be determined according to the buried depth of the pipe, when the buried depth is deep, the distance between the sensors and the pipe can be arranged at 0.3~0.5m, and when the buried depth is shallow, the distance between the sensors and the pipe can be uniformly arranged at less than 0.3m.

[0038] S113, the sensors in the sensor group continuously acquire the measured temperature value of the position where the sensors are located and the measured monitoring time when the measured temperature value is acquired, to obtain the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe.

[0039] The purpose of this step is to obtain the temperature data of the environment around the pipeline and the corresponding measured monitoring time, which can establish a database on the one hand, and the obtained temperature value can be directly used to determine whether a leakage problem has occurred.

[0040] Among them, the sensors in the sensor group keep running continuously to obtain the measured temperature they obtain and the time point corresponding to the acquisition of the measured temperature, which is the measured monitoring time.

[0041] Among them, the correspondence between the measured temperature value and the measured monitoring time needs to be established to avoid the problem of non-correspondence between the temperature value and the time.

[0042] The beneficial effect of step S110 is that, through the arrangement mode limitation of the sensor group, it can be ensured that the adjacent sensors and the pipeline have the same spacing and are at the same soil depth, avoiding excessive measurement error of the measured time due to different depths and spacings. At the same time, by uniformly arranging the sensor group along the axial direction of the plastic pipe, leakage monitoring of any region on the pipeline can be realized.

[0043] As described in step S120, the purpose of this step is to establish the baseline data for comparing temperature changes in the technical solution of the present application, so a historical data database needs to be established to obtain a theoretical data database. Specifically: S121, based on the historical temperature values and the corresponding historical monitoring time collected by the plurality of sensor groups, a historical temperature curve is established.

[0044] The purpose of this step is to process the obtained temperature values after the sensor group obtains the temperature values, and the values also correspond to the corresponding monitoring time. Therefore, in the specific processing, the obtained data can be directly established into a temperature curve, and based on the temperature curve, the correlation between the soil temperature and the monitoring time can be determined.

[0045] Among them, the measured temperature values obtained in step S120 are directly used as historical temperature values, and all the measured temperature values obtained are directly converted into historical temperature values.

[0046] Among them, for the historical temperature values, the measured monitoring time corresponding to the values is also used as historical monitoring time.

[0047] Among them, after obtaining the historical temperature values and the historical monitoring time, a historical temperature curve can be directly established based on these two types of information. As shown in Figure 3 , it is a historical temperature curve diagram in a buried plastic pipe leakage monitoring method provided by an embodiment of the present application, further, Figure 3(a) is the historical temperature curve of sensor A1 in the sensor group A2, B2 and C2, and obviously, the historical temperature curve of other sensors also needs to be established.

[0048] Wherein, as Figure 3 (b) is the historical temperature curve of sensor A1 in the sensor group A2, B2 and C2, and obviously, the historical temperature curve of other sensors also needs to be established. 52 , B 52 and C 52 , based on the historical temperature curve of A 52 sensor, it can be seen that the temperature values in the historical temperature curve are different from the historical temperature values in (a), and the method is also reasonable, because: the distance between the two sensor groups is large, and the underground environment has changed, and Figure 3 (b) The corresponding sensor group may have underground heat sources, resulting in higher soil temperature during December to March of the following year. Figure 3

[0049] Wherein, the historical temperature curve of each sensor in each sensor group can be established, which can fully improve the monitoring accuracy.

[0050] In some embodiments, considering that the sensors in the sensor group are close, only the average soil temperature obtained by the sensor group can be established in the historical temperature curve, and the historical temperature curve is established.

[0051] S122, based on the historical temperature curve, obtaining temperature stable interval, temperature non-stable interval and temperature mutation interval, and obtaining the corresponding time period.

[0052] The purpose of this step is that the temperature of the soil will change in a long period of time, for example, the soil temperature in summer and winter in the north is obviously different, so after the historical temperature curve is established, further processing is needed to obtain the period of temperature change. In addition, after the leakage problem occurs in the pipeline, the temperature value will also fluctuate greatly, so in the processing, the area needs to be removed to obtain the result and improve the accuracy.

[0053] Wherein, after obtaining the historical temperature curve, the historical temperature value change rate corresponding to the adjacent historical monitoring time can be obtained based on the curve performance, when the change rate is very small, it is considered that the temperature at the two historical monitoring time points is stable, and the interval of all temperature values in the stable interval is obtained. The time period is the temperature stable interval. As Figure 3 (a) In the period from December to March of the following year, the temperature is basically constant, so it is a temperature stable interval, and in the period from June to September, the temperature is also basically constant, which is another temperature stable interval.

[0054] ​When soil temperature is found to change slowly within a certain time period, it often indicates that this period may be a seasonal transition, falling within a temperature instability range. Figure 3 In (a), the soil temperature is in a state of gradual increase from March to June and in a state of gradual decrease from October to December. These two periods are temperature instability intervals.

[0055] Among them, for such Figure 3 (b) The situation described can be verified using historical data from multiple years to determine whether the temperature change is consistent with local conditions.

[0056] The temperature abrupt change range can be determined by both the length of the temperature abrupt change period and the magnitude of the temperature change within that period. For example... Figure 4 The diagram shown illustrates the temperature abrupt change range in the historical temperature curve of a buried plastic pipe leakage monitoring method provided in this embodiment of the application. It reveals that the time period for temperature fluctuations is significantly shorter than that of the previous one. Figure 3 The temperature change or temperature range within a given time period, and the temperature fluctuation amplitude is much larger than the temperature value, is therefore identified as a temperature abrupt change range. Figure 4 The data shows that the soil temperature suddenly dropped on July 8th and remained there until the 11th, indicating a pipe leak. From the 12th to the 13th, the temperature suddenly increased, exceeding the slight temperature fluctuations in the soil, indicating that the 12th and 13th were the time for pipe leak repair. During this period, the temperature sensor was exposed outside the soil, and the temperature measured was significantly higher than the temperature inside the soil. After the 13th, the temperature continued to drop and recovered to around 15℃ on the 15th, indicating that the leak repair was effective and the sensor was reburied underground.

[0057] S123. Remove the temperature abrupt change range and the corresponding time period to obtain the processed data range.

[0058] The purpose of this step is to remove the temperature abrupt changes in the historical temperature curves, which are usually caused by external interference or pipe leaks. These data are obviously unconventional and can improve the accuracy of historical data by removing them.

[0059] The process involves directly removing the temperature abrupt change intervals and their corresponding time periods, leaving all intervals in the remaining historical temperature curves as the data intervals to be processed.

[0060] In this process, after collecting historical temperature curves from multiple years and removing temperature abrupt change intervals, the data is filled in based on historical temperature curves from other years.

[0061] In some embodiments, after the historical temperature interval is removed, the time period in which the temperature mutation interval is located is determined, and it is determined whether the time period belongs to a temperature stable interval or a temperature unstable interval. If it is the former, the mean value of the temperature of the temperature stable interval is directly filled in the temperature mutation interval. If it is the latter, interpolation processing is performed according to the specific change of the temperature value.

[0062] S124, obtaining the mean value of the historical temperature in the temperature stable interval in the processed data interval, and obtaining the corresponding time period to obtain the temperature stable period.

[0063] The purpose of this step is to save space in the establishment of the database. In general, the curve will not be directly stored, but the value will be directly recorded. Therefore, the data of the temperature stable interval is processed to determine the corresponding temperature stable period.

[0064] Among them, the mean value of all historical temperature values in the temperature stable interval is calculated, and the time period of the temperature stable interval is determined to establish the corresponding relationship between the time period and the temperature mean value.

[0065] Among them, the time period determination method of the temperature stable interval is to establish the change rate of the two adjacent temperature values before and after the establishment, and set a change rate threshold. Once it is found that the change rate of two adjacent time nodes exceeds the change rate threshold, it is considered that the time corresponding to the latter node is likely not in the temperature stable interval. At this time, the change rate of the node after the latter node is obtained. If all of them exceed the change rate threshold, or most of them exceed the change rate threshold, the node (i.e. the former time node in the adjacent time nodes) is the last time node of the temperature stable interval.

[0066] S125, obtaining the historical temperature value in the temperature unstable interval in the processed data interval, and obtaining the corresponding historical monitoring time to obtain the temperature change period.

[0067] The purpose of this step is that for the temperature unstable interval, the temperature value is more closely related to the historical monitoring time, so it cannot be directly determined based on the temperature mean value, but the corresponding relationship between the temperature value and the historical monitoring time needs to be established.

[0068] Among them, after the temperature unstable interval is obtained, the corresponding relationship between the historical temperature value and the historical monitoring time is directly established, that is, the corresponding relationship between the time point and the temperature value is formed.

[0069] Among them, the time period determination method of the temperature unstable interval is similar to the method of step S124, which will not be described here.

[0070] S126, establish the correspondence between the temperature stable period and the average of the historical temperature values, and the correspondence between the historical monitoring time in the temperature change period and the historical temperature values, and set to the database, to obtain the temperature-time database.

[0071] The purpose of this step is to establish the temperature-time database.

[0072] Among them, for the temperature stable period, the correspondence between the temperature stable time period and the temperature value is established; for the temperature unstable period, the correspondence between the time node and the temperature value is established, and all the data and the correspondence need to be included in the database, thereby forming the temperature-time database.

[0073] The beneficial effect of step S120 is that considering the large amount of historical data and the long time length, in the specific processing process, the period is processed respectively according to the temperature value change in different time periods, the interference term is eliminated, and the storage space is saved.

[0074] As described in step S130, the purpose of this step is to determine whether the pipeline has leaked by temperature comparison in the monitoring of the buried plastic pipe, so it is necessary to set the temperature parameter basis for comparison. Specifically: S131, obtain the measured monitoring time, and compare the measured monitoring time with the temperature-time database to obtain the corresponding historical monitoring time in the temperature-time database.

[0075] The purpose of this step is to verify whether the pipeline has leaked, and the measured temperature value and the theoretical temperature value need to be corresponding, so a benchmark needs to be set to ensure the correct correspondence of the two types of temperature values. Among them, the temperature-time database has been established, and the measured monitoring time obtained contains time data, so the time data can be used as a benchmark, that is, the purpose of this step is to obtain the benchmark parameter.

[0076] Among them, after obtaining the measured monitoring time, determine the time period in the temperature-time database where the time node is located.

[0077] Among them, if it is found that the measured monitoring time is in the temperature change period, the measured monitoring time is directly used as the historical monitoring time. For example, the measured monitoring time is March 20, 2025, and March belongs to the temperature change period, so the historical monitoring time is March 20, 2024, or all the temperature values obtained on March 20.

[0078] S132, based on the historical monitoring time, obtain the corresponding historical temperature value or the average of the historical temperature values, to obtain a theoretical temperature value.

[0079] The purpose of this step is to obtain the corresponding theoretical temperature value after obtaining the time basis.

[0080] Wherein, after obtaining the historical monitoring time, the corresponding historical temperature value is obtained based on the time node.

[0081] Wherein, in the discovered historical monitoring time, if the time is in the temperature stable period, the average of the obtained historical temperature values is the theoretical temperature value. For example, the obtained actual monitoring time is January 13, 2025, and January belongs to the temperature stable period, and the stable period is from December 1, 2024 to March 1, 2025. The average of the temperature values in this period is the theoretical temperature value.

[0082] In some embodiments, the soil temperature in the temperature period of the previous years is obtained and the average is calculated, and the new average is the theoretical temperature value.

[0083] Wherein, when the actual monitoring time is found to be in the temperature change period, the specific time of the actual monitoring time is used as the historical monitoring time. For example, in the embodiment of step S131, the historical temperature value corresponding to March 30, 2024 needs to be obtained, which is the theoretical temperature value.

[0084] In some embodiments, if historical temperature values of multiple years are obtained, the average of the historical temperature values of the same time node in each year is obtained. For example, based on the embodiment of step S131, the historical temperature values of March 20 of all years are obtained, and the average temperature is calculated, which is the theoretical temperature value.

[0085] Wherein, for all obtained actual temperature values, the obtained actual temperature values are also included in the database under the condition that the pipeline is not leaking, and the data in the database is updated.

[0086] The beneficial effect of step S130 is that in the determination of the pipeline leakage condition, high-precision theoretical data is obtained, which can be updated in real time, thereby improving the precision of the theoretical temperature data, and the monitoring time is used as the basis for obtaining the temperature value, avoiding the mismatch between the actual temperature value and the theoretical monitoring value.

[0087] As described in step S140, the purpose of this step is to determine whether the monitored pipeline has a leakage problem based on the temperature sensor by measuring the soil temperature around the buried plastic pipe. Specifically: S141, obtain a temperature difference value between the measured temperature value and the theoretical temperature value, to obtain a temperature deviation amount.

[0088] The purpose of this step is that when the buried plastic pipe has a leakage problem, it will inevitably cause a large change in the soil temperature in the space reached by the water body. However, there is a case where although there is no leakage problem, the natural environment causes the soil to have a slight temperature fluctuation, which leads to that if only the measured temperature value and the theoretical temperature value are different, it is not accurate to consider that the pipeline leaks, and therefore it is necessary to determine based on the temperature deviation degree.

[0089] Among them, the difference value between the obtained measured temperature data and the theoretical temperature value is calculated to directly obtain the temperature deviation amount.

[0090] In some embodiments, for the obtained temperature deviation amount, an absolute value processing is performed.

[0091] S142, compare the temperature deviation amount with the preset temperature difference value, if the temperature deviation amount is not lower than the preset temperature difference value, obtain the sensor of the measured temperature value to obtain a leakage signal measured sensor.

[0092] The purpose of this step is that after obtaining the entire temperature deviation degree, it is also necessary to set a comparison basis for the deviation value, so as to determine whether a leakage has occurred according to the numerical basis.

[0093] Among them, the preset temperature difference value can be set based on the experience of technical personnel.

[0094] Among them, the preset temperature difference value can be calculated by obtaining the deviation amount of the measured temperature value and the theoretical temperature value when a leakage occurs in the historical monitoring time.

[0095] Among them, when it is found that the obtained temperature deviation amount is not lower than the preset temperature difference value, it is considered that the pipeline has a leakage, and the sensor that monitors this phenomenon is the leakage signal measured sensor.

[0096] S143, obtain the time when the leakage signal measured sensor obtains the measured temperature value, to obtain a leakage signal measured time.

[0097] The purpose of this step is that, in general, when the pipeline leaks, the water will spread irregularly in the soil, and the flow direction will be affected by factors such as soil cracks and soil looseness. However, it is this irregular diffusion that often causes multiple sensors in a sensor group to become leak signal measured sensors. By obtaining the leak signal measured time, a foundation can be laid for subsequent water diffusion direction determination.

[0098] Among them, when all the leak signal measured sensors obtain the leak signal, the measured monitoring time is directly obtained, which is the leak signal measured time.

[0099] Among them, when only one sensor is found to be a leak signal measured sensor, a waiting time can be set. The purpose of the waiting time is to continuously analyze whether the sensors within a certain range around the sensor will obtain a leak signal. If no other leak signal is obtained within the time, it is considered that the sensor is a false alarm.

[0100] Among them, if other leak signal measured sensors are found within the waiting time, different leak signal measured times are obtained.

[0101] The beneficial effect of step S140 is that based on the existing system configuration mode, the leak signal measured time that can be obtained when the pipeline leaks can be obtained, and a subsequent technical basis can be obtained.

[0102] However, in the actual implementation of the technology, the problem that may occur is that, on the one hand, the temperature maintenance ability of the deep soil is good, and when natural precipitation or land irrigation occurs, the temperature change caused by the infiltration of surface water into the ground is similar or even the same as the temperature change caused by pipeline leakage, which will be considered by the system as pipeline leakage, but in essence this is a false judgment. In order to solve this problem, a false judgment prevention step needs to be added before the specific acquisition of the leak signal measured time, specifically: S14 (1), obtain the position of the sensor in each sensor group, and obtain the sensor closest to the ground in each sensor group.

[0103] The purpose of this step is to obtain the sensor that is most suitable for judging whether a false judgment problem has occurred. Considering that during natural precipitation and irrigation, water penetrates into the soil in the order from top to bottom, regardless of the complexity of the underground environment of the soil, the sensor for judging interference can be obtained based on this idea.

[0104] Among them, for the position determination of the sensor group, a position label can be directly set to represent it.

[0105] Among them, the information label set also needs to be identified in the data processing system.

[0106] Among them, since the direction of the infiltration of the surface water resource into the soil is from top to bottom, it is most reasonable and easiest to implement to analyze the sensor closest to the surface as the interference term.

[0107] S14 (2), when any one of the sensors closest to the surface is the leakage signal measured sensor, the leakage signal measured sensor is adjusted to be the leakage signal measured sensor closest to the surface, and the soil humidity at the position of the leakage signal measured sensor closest to the surface is obtained.

[0108] The purpose of this step is to analyze how to determine whether the current monitored temperature change is an interference term based on the set sensor after the sensor closest to the surface has been obtained and such sensor is analyzed as the interference term.

[0109] Among them, when the sensor closest to the surface becomes the leakage signal measured sensor, the sensor directly converts the label carried by it into the leakage signal measured sensor closest to the surface in the system.

[0110] Among them, the soil humidity in the leakage signal measured sensor closest to the surface can be directly obtained to analyze whether the humidity change occurs.

[0111] Among them, the humidity sensor and temperature sensor combination scheme is adopted for the sensor closest to the surface, and only the temperature sensor can be set for other sensors.

[0112] S14 (3), taking the leakage signal measured sensor closest to the surface as the center, the soil humidity of other sensors closest to the surface within a preset time length is obtained.

[0113] The purpose of this step is that when natural precipitation or irrigation occurs, the overall speed of the water resource penetrating into the ground is the same, and the range of the water resource penetrating from the surface downward is large, so based on this phenomenon, the soil humidity of multiple sensors closest to the surface within a preset time length is analyzed to determine whether the temperature change is caused by precipitation or irrigation.

[0114] Among them, when a sensor closest to the surface is found to be a leakage signal sensor, the soil humidity data obtained by the sensors within a certain range around the sensor is taken as the center.

[0115] Among them, in order to improve the accuracy, the number of sensors selected on each side is not less than 2 for the obtained surrounding sensors closest to the surface.

[0116] Regarding the preset time length, considering that the overall infiltration rate of surface water is generally the same under normal circumstances, the preset time length can be relatively short, such as 5 minutes. This application does not limit the specific preset time length.

[0117] S14 (4) When the soil moisture changes are the same for the sensor closest to the ground surface and the sensor for detecting leakage signals closest to the ground surface within the preset time length, the sensor for detecting leakage signals closest to the ground surface is adjusted to a sensor for detecting non-leakage signals.

[0118] The purpose of this step is to determine whether the current temperature change is caused by natural precipitation or irrigation by using soil moisture information obtained from multiple sensors closest to the ground surface.

[0119] Among them, such as Figure 5 The diagram illustrates the water infiltration effect of a buried plastic pipe leakage monitoring method according to an embodiment of this application. Sensors A5-A9 are the sensors closest to the ground surface, with A7 being the first sensor to detect the leakage signal closest to the ground surface. Two sensors are located on either side of A7 as the center. A preset time of 5 minutes was set. It was observed that, except for A6 which was below the infiltration waterline, all others were above the waterline. This indicates the presence of water infiltrating downwards from the ground surface at a roughly uniform rate. The water infiltration from the pipe leakage exhibits a clear "point-to-surface" pattern, thus indicating the occurrence of... Figure 5 When considering the phenomenon, it is believed that temperature changes are caused by natural precipitation or surface irrigation.

[0120] Among them, the so-called "same change in soil moisture" can mean that the humidity data obtained by the humidity sensor changes in the same way, or that the humidity data obtained by multiple sensors closest to the ground surface all fluctuate significantly.

[0121] The beneficial effect of the above steps S14(1)~S14(4) is that in pipeline leakage monitoring, interference caused by natural precipitation, surface irrigation and other operations can be eliminated.

[0122] As described in step S150, the purpose of this step is to determine the specific location of the leak point after confirming that a leak has occurred in the buried plastic pipe. Specifically: S151. Based on all the leakage signals, the position of the sensor is measured, and the leakage signal acquisition time and center point of adjacent sensors in different sensor groups are obtained.

[0123] The purpose of this step is to obtain the diffusion direction of the leaked water by obtaining the time of obtaining the leakage signal of the adjacent sensor, and to obtain the center point connection surface by obtaining the center point of the adjacent sensor.

[0124] In the determination process of the center point, all adjacent sensors need to be obtained, In which, in the determination of the two sensors with a long distance and the connecting line parallel to the pipeline axis, the sensor measured by the leakage signal is obtained, the two sensors are taken as the end points of the line segment, and the midpoint of the line segment is obtained.

[0125] In which, for the obtained sensor measured by the leakage signal, the time of obtaining the leakage signal is obtained.

[0126] S152, connect all the center points, obtain the center point connection surface, and obtain the intersection of the center point connection surface and the buried plastic pipe to obtain the possible leakage point.

[0127] The purpose of this step is that in the analysis of the leakage point of the buried plastic pipe, multiple center points can obviously obtain the center point connection surface, and the surface obviously intersects with the pipeline, but the intersection point is not the actual leakage point, because the penetration direction and speed of water are likely to be uneven, therefore, the possible leakage point needs to be obtained to reduce the positioning range.

[0128] In which, as Figure 6 shown, a possible leakage point positioning diagram of a buried plastic pipe leakage monitoring method provided by the embodiment of the application, wherein the "connecting line of the leakage signal measured sensor belonging to the A (or B or C) group" in the drawing refers to Figure 2 and Figure 5 In which, the serial number of the adjacent sensor belongs to A or B or C, and all the adjacent leakage signal measured sensors are connected, and the center point is obtained based on the sensor position, the center point is connected to obtain the center point connection line sensor, and only the case of 3 sensors in each sensor group is shown in the drawing, and in practice, any case of not less than 3 sensors can be set. After obtaining the center point, the adjacent center points are connected to obtain the center point connection surface.

[0129] S153, based on the time of obtaining the leakage signal of the adjacent sensor between the different sensor groups in reverse order, connecting the leakage signal measured sensor corresponding to the time of obtaining the leakage signal to obtain the sensor connection direction.

[0130] The purpose of this step is to narrow the positioning range of the leakage point after obtaining the possible leakage point, and then determine the possible leakage point direction where the leakage point is located according to the connection direction.

[0131] In which, the time of obtaining the leakage signal is arranged in reverse order.

[0132] Wherein, according to the sensor corresponding to the acquisition time of the leakage signal, the sensor sequence of acquiring the leakage signal is determined according to the time reverse order.

[0133] Wherein, based on the sensor sequence, the adjacent sensors are connected, then according to the time reverse order, the sensor acquired the leakage signal later is the sensor behind, and the connection direction is the arrangement direction of the sensor acquiring the leakage signal from right to left.

[0134] S154, the occurrence frequency of all the sensor connection directions is acquired, and the sensor connection direction with the maximum occurrence frequency is the possible leakage point direction of the buried plastic pipe leakage point, so as to obtain the buried plastic pipe leakage point compared with the possible leakage point direction.

[0135] The purpose of this step is to obtain the buried plastic pipe leakage point compared with the possible leakage point direction.

[0136] Wherein, due to the existence of various factors, such as soil cracks, soil density, etc., there may be multiple connection directions, so in the specific processing, the direction with the maximum occurrence frequency is determined as the direction of the buried plastic pipe relative to the possible leakage point.

[0137] Wherein, the possible leakage point position is known, and the sensor connection direction is the direction of the buried plastic pipe leakage point compared with the possible leakage point.

[0138] S154, the sensor closest to the possible leakage point in the buried plastic pipe leakage point direction is acquired, and the vertical projection of the sensor closest to the possible leakage point on the buried plastic pipe is acquired, so as to obtain the projection point.

[0139] The purpose of this step is that it is difficult to truly and accurately locate the leakage point of the buried plastic pipe, so the application determines the section where the leakage point is located, and needs to minimize the length of the section where the leakage point is located. The application obtains the edge point of the section by determining the projection point.

[0140] Wherein, after the possible leakage point and the buried plastic pipe leakage point direction are determined, the sensor closest to the possible leakage point is acquired.

[0141] Wherein, the vertical projection of the sensor closest to the possible leakage point on the buried plastic pipe is acquired, so as to obtain the projection point.

[0142] S155, the buried plastic pipe leakage point is acquired on the buried plastic pipe between the projection point and the possible leakage point.

[0143] The purpose of this step is to achieve the highest accuracy determination of the leakage point of the buried plastic pipe.

[0144] Among them, for the plastic pipe between the projection point and the possible leakage point, it is considered that there must be a leakage point, and then the section is obtained and explored, that is, the leakage point of the buried plastic pipe can be determined.

[0145] The beneficial effect of step S150 is that by positioning the possible leakage point and determining the relative position of the buried plastic pipe leakage point and the possible leakage point, the minimum possible space of the position of the buried plastic pipe leakage point can be determined, thereby determining the leakage point.

[0146] As described in step S160, the purpose of this step is that after the treatment of the buried plastic pipe leakage point, the treatment area is more prone to leakage problems in subsequent operation for a period of time, and the problem range caused by leakage is also larger, such as the increase of the leakage point area, the fracture of the replaced pipe interface, etc., so after the treatment, the treatment point also needs to be monitored more importantly. Specifically: S161, treating the buried plastic pipe leakage point and obtaining a treatment position point.

[0147] The purpose of this step is to obtain the treatment position point after the treatment of the leakage point, and lay the foundation for the subsequent sensor group priority determination process.

[0148] Among them, the treatment method of the buried plastic pipe leakage point usually has two kinds, one is the direct plugging of the leakage point, and the other is the replacement of the section, and the replacement of the section will produce two joints, both of which are treatment position points.

[0149] S162, obtaining the sensor group closest to the treatment position point to obtain the center sensor group.

[0150] The purpose of this step is to obtain the most critical sensor group in the priority based on the treatment position point.

[0151] Among them, after obtaining the treatment position point, the sensor group closest to the position point is determined, which is the center sensor group.

[0152] S163, simultaneously obtaining a plurality of sensor groups on both sides of the center sensor group to obtain the edge sensor group.

[0153] The purpose of this step is to consider that when the position point area leaks again, the transmission direction of water is not necessarily uniform, so a plurality of sensor groups need to be obtained, which are collectively used as high-priority sensors.

[0154] Among them, a plurality of sensor groups are screened on both sides of the center sensor group, and the number of sensor groups in each set is not less than 2.

[0155] S164. Obtain the distance between the edge sensor group and the processing location point, and set the leakage signal processing priority.

[0156] The purpose of this step is to prioritize the leakage signal processing based on the distance between the edge sensor group and the processing location point, and then based on the obtained distance.

[0157] This involves obtaining the distance between each edge sensor group and the processing location point.

[0158] Among them, based on the obtained spacing, the priority is set from small to large according to the spacing from large to small.

[0159] The process of determining priorities can also be determined according to the following equation: ; in, P k Indicates the first k Leakage signal processing priority for each sensor group (including edge sensor group and center sensor group); L i Indicates the first i The spacing between sensor groups (including edge sensor groups and center sensor groups) and processing location points; L k Indicates the first k The spacing between sensor groups (including edge sensor groups and center sensor groups) and processing location points; i Indicates the number index of the sensor group (including the edge sensor group and the center sensor group); j This indicates the total number of index numbers for sensor groups (including edge sensor groups and center sensor groups).

[0160] The beneficial effect of step S160 is that after the leak point is treated, the leakage signal processing priority of the sensor group that is closer to the treatment location is increased. After the sensor group acquires the leakage signal, the leakage detection work mode is arranged according to the priority, so as to carry out key monitoring of the area.

[0161] In accordance with all the above steps, this application also discloses a buried plastic pipe leakage monitoring system, such as... Figure 7 The diagram shown is a schematic of a buried plastic pipe leakage monitoring system provided in an embodiment of this application. The system includes a baseline database construction module, a sensor group, an intelligent diagnostic module, and a leak point location module. Specifically: The sensor group is connected with the reference database construction module, the sensor group is used for acquiring the environment data around the buried plastic pipe, and the reference database construction module is used for establishing a temperature-time database of the environment around the buried plastic pipe acquired by the sensor group. The sensor group is also connected with the intelligent diagnosis module, the intelligent diagnosis module is used for acquiring the measured temperature value and the measured monitoring time of the environment around the plastic pipe and acquiring the leakage state of the buried plastic pipe. The leakage point positioning module is connected with the intelligent diagnosis module, and the leakage point of the buried plastic pipe is acquired.

[0162] Further: The reference database construction module comprises: A data receiving unit is used for acquiring the environment data around the buried plastic pipe acquired by the sensor group; A data processing unit is connected with the data receiving unit and is used for creating a historical temperature curve based on the environment data around the buried plastic pipe and acquiring a temperature stable period and a temperature change period; A corresponding relationship creating unit is connected with the data processing unit and is used for establishing a corresponding relationship between the temperature stable period or the temperature change period and the historical temperature value; The data processing unit comprises: A temperature analysis unit is used for creating the environment data around the buried plastic pipe as a historical temperature curve and acquiring a temperature stable interval and a temperature unstable interval based on the historical temperature curve; A time obtaining unit is connected with the temperature analysis unit and is used for acquiring a starting time and a terminal time corresponding to the temperature stable interval and the temperature unstable interval; A period establishing unit is simultaneously connected with the temperature analysis unit and the time obtaining unit and is used for establishing a corresponding relationship between the temperature stable interval and the corresponding starting time and terminal time and a corresponding relationship between the temperature unstable interval and the corresponding starting time and terminal time; The sensor group comprises: A temperature sensor, the temperature sensor is not less than 3, and is arranged to surround the buried plastic pipe; A humidity sensor, the humidity sensor is arranged at the same position as the temperature sensor closest to the ground surface; A vacuum heat insulation packaging device, the vacuum heat insulation packaging device is arranged outside the temperature sensor and / or the humidity sensor and is used for excluding the ground surface temperature interference on a non-contact surface of the temperature sensor; The intelligent detection module comprises: A measured temperature obtaining unit is used for acquiring the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe; The theoretical temperature acquisition unit is configured to acquire a theoretical temperature value based on the measured monitoring time and a temperature-time database of the environment surrounding the buried plastic pipe. The leakage analysis unit is configured to compare the theoretical temperature value and the measured temperature value to determine whether the buried plastic pipe leaks. The humidity interference detection unit is configured to acquire a plurality of humidity sensors to determine whether the buried plastic pipe leakage signal is correct when it is determined that the buried plastic pipe leaks based on the temperature sensor closest to the ground surface. The priority setting module is configured to determine the priority of the leakage signal acquired by the sensor group after the leakage of the buried plastic pipe is handled. The leakage point positioning module comprises: The center point determination unit is configured to acquire the center points of all adjacent sensors that acquire the leakage signal between adjacent sensor groups when the sensor group acquires the leakage signal. The possible leakage point determination unit is configured to connect the center points two by two to obtain the center point connection surfaces, and acquire the intersection of the center point connection surfaces and the buried plastic pipe to obtain the possible leakage point. The leakage direction determination unit is configured to acquire the measured monitoring time of all adjacent sensors that acquire the leakage signal between adjacent sensor groups when the sensor group acquires the leakage signal, and acquire the order of the adjacent sensors that acquire the leakage signal based on the time in reverse order to obtain the leakage point direction. The leakage point positioning unit is configured to acquire the position of the leakage point of the buried plastic pipe according to the possible leakage point, the leakage direction, and the most edge leakage signal sensor that acquires the leakage signal in the leakage point direction.

[0163] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by computer program instruction related hardware, and the aforementioned computer program can be stored in a non-volatile storage medium. When the computer program is executed, the steps of the above-mentioned method embodiments are executed. Alternatively, when the above-mentioned integrated units of the present application are realized in the form of a software function module and sold or used as an independent product, they can also be stored in a non-volatile storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, which is stored in a non-volatile storage medium and includes a plurality of instructions for causing an electronic device (which can be a personal computer, a server, a network device, etc.) to execute all or part of the methods described in the embodiments of the present application.

[0164] The above merely illustrates the specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A method of monitoring a buried plastic pipe for leaks, characterized by, The method comprises: Based on a plurality of sensor groups arranged along the axial direction of the buried plastic pipe, obtaining the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe; Based on the historical temperature value and the historical monitoring time of the environment around the buried plastic pipe, obtaining the temperature-time database of the environment around the buried plastic pipe; Based on the measured monitoring time, obtaining the corresponding historical temperature value from the temperature-time database to obtain the theoretical temperature value; When the temperature difference between the measured temperature value and the theoretical temperature value is not less than the preset temperature difference, obtaining the sensor for measuring the leakage signal and obtaining the leakage signal measurement time; Based on the leakage signal acquisition time and the position of the sensor for measuring the leakage signal, obtaining the leakage point of the buried plastic pipe; After processing the leakage point of the buried plastic pipe, improving the leakage signal processing priority of the sensor group in the processing area of the buried plastic pipe to realize key monitoring in the leakage point processing area.

2. A method of monitoring a buried plastic pipe for leaks as claimed in claim 1, wherein, The method comprises: The sensor group comprises not less than 3 sensors arranged around the buried plastic pipe; The plurality of sensor groups are uniformly arranged along the axial direction of the buried plastic pipe, and the adjacent sensor connecting lines between the sensor groups are parallel to the axial line of the buried plastic pipe; The sensors in the sensor group continuously obtain the measured temperature value at the position of the sensor and the measured monitoring time when the measured temperature value is obtained, to obtain the measured temperature value and the measured monitoring time of the environment around the buried plastic pipe.

3. The method of claim 1, wherein The method comprises: Based on the historical temperature value and the corresponding historical monitoring time collected by the plurality of sensor groups, a historical temperature curve is established; Based on the historical temperature curve, the temperature stable interval, the temperature unstable interval and the temperature mutation interval are obtained, and the corresponding time period is obtained; The temperature mutation interval and the corresponding time period are removed to obtain a processed data interval; The average value of the historical temperature value in the temperature stable interval in the processed data interval is obtained, and the corresponding time period is obtained to obtain a temperature stable period; The historical temperature value in the temperature unstable interval in the processed data interval is obtained, and the corresponding historical monitoring time is obtained to obtain a temperature change period; The corresponding relationship between the temperature stable period and the average value of the historical temperature value, and the corresponding relationship between the historical monitoring time in the temperature change period and the historical temperature value are established, and are set into the database to obtain a temperature-time database.

4. The method of claim 1, wherein The method comprises: The measured monitoring time is obtained, and the measured monitoring time and the temperature-time database are compared to obtain the corresponding historical monitoring time in the temperature-time database; Based on the historical monitoring time, the corresponding historical temperature value or the average of the historical temperature values is obtained to obtain a theoretical temperature value.

5. The method of claim 1, wherein When the temperature difference between the measured temperature value and the theoretical temperature value is not less than a preset temperature difference, a leak signal measured sensor is obtained, and a leak signal measured time is obtained, including: A temperature deviation is obtained by obtaining the temperature difference between the measured temperature value and the theoretical temperature value. The temperature deviation and the preset temperature difference are compared, and if the temperature deviation is not less than the preset temperature difference, a sensor obtaining the measured temperature value is obtained, and a leak signal measured sensor is obtained. The time when the leak signal measured sensor obtains the measured temperature value is obtained to obtain a leak signal measured time.

6. A method of monitoring a buried plastic pipe for leaks as defined in claim 5, wherein, Before the leak signal measured time is obtained, it further includes: The positions of the sensors in each sensor group are obtained, and the sensor closest to the ground in each sensor group is obtained. When any one of the sensors closest to the ground is the leak signal measured sensor, the leak signal measured sensor is adjusted to be the leak signal measured sensor closest to the ground, and the soil humidity at the position of the leak signal measured sensor closest to the ground is obtained. The soil humidity of other sensors closest to the ground within a preset time length is obtained with the leak signal measured sensor closest to the ground as the center. When the soil humidity changes of the sensor closest to the ground and the leak signal measured sensor closest to the ground are the same within the preset time length, the leak signal measured sensor closest to the ground is adjusted to be a non-leak signal measured sensor.

7. The method of claim 1, wherein Based on the leak signal acquisition time and the position of the leak signal measured sensor, a buried plastic pipe leak point is obtained, including: Based on the positions of all the leak signal measured sensors, the leak signal acquisition times and the center points of adjacent sensors between different sensor groups in the plurality of sensor groups are obtained. All the center points are connected to obtain a center point connection surface, and the intersection of the center point connection surface and the buried plastic pipe is obtained to obtain a possible leak point. Based on the leak signal acquisition times of the adjacent sensors between different sensor groups in reverse order, the leak signal measured sensors corresponding to the leak signal acquisition times are connected to obtain a sensor connection direction. The occurrence frequency of all the sensor connection directions is obtained, and the sensor connection direction with the maximum occurrence frequency is the possible leak point direction of the buried plastic pipe leak point, and the buried plastic pipe leak point is obtained compared to the possible leak point direction. The leak signal measured sensor closest to the possible leak point in the buried plastic pipe leak point direction is obtained, and the vertical projection of the leak signal measured sensor closest to the possible leak point on the buried plastic pipe is obtained to obtain a projection point. The buried plastic pipe leak point is obtained on the buried plastic pipe between the projection point and the possible leak point.

8. The method of claim 1, wherein, After the leakage point of the buried plastic pipe is processed, the leakage signal processing priority of the sensor group in the processing area of the buried plastic pipe is improved to realize key monitoring of the leakage point processing area, comprising: processing the leakage point of the buried plastic pipe and obtaining the processing position point; obtaining the nearest sensor group of the processing position point to obtain the center sensor group; obtaining a plurality of sensor groups on both sides of the center sensor group to obtain the edge sensor group; obtaining the distance between the edge sensor group and the processing position point, and setting the leakage signal processing priority.

9. A buried plastic pipe leakage monitoring system for realizing the buried plastic pipe leakage monitoring method according to any one of claims 1-8, the system comprising a reference database construction module, a sensor group, an intelligent diagnosis module and a leakage point positioning module, characterized in that: the sensor group and the reference database construction module are connected, the sensor group is used to obtain the environment data around the buried plastic pipe, and the reference database construction module is used to establish the temperature-time database of the environment around the buried plastic pipe obtained by the sensor group; the sensor group is also connected with the intelligent diagnosis module, the intelligent diagnosis module is used to obtain the measured temperature value and the measured monitoring time of the environment around the plastic pipe, and the leakage state of the buried plastic pipe is obtained; the leakage point positioning module is connected with the intelligent diagnosis module to obtain the leakage point of the buried plastic pipe.

10. The buried plastic pipe leakage monitoring system according to claim 9, characterized in that: the reference database construction module comprises: a data receiving unit for obtaining the environment data around the buried plastic pipe obtained by the sensor group; a data processing unit connected with the data receiving unit, used to create a historical temperature curve based on the environment data around the buried plastic pipe, and obtain a temperature stable period and a temperature change period; a corresponding relationship creating unit connected with the data processing unit, used to establish the corresponding relationship between the temperature stable period or the temperature change period and the historical temperature value; the data processing unit comprises: a temperature analysis unit for creating the environment data around the buried plastic pipe as a historical temperature curve, and obtaining a temperature stable interval and a temperature unstable interval based on the historical temperature curve; a time obtaining unit connected with the temperature analysis unit, used to obtain the start time and the end time corresponding to the temperature stable interval and the temperature unstable interval; a period establishing unit connected with the temperature analysis unit and the time obtaining unit, used to establish the corresponding relationship between the temperature stable interval and the corresponding start time and end time, and the corresponding relationship between the temperature unstable interval and the corresponding start time and end time; the sensor group comprises: a temperature sensor, the number of the temperature sensor is not less than 3, and the temperature sensor is arranged around the buried plastic pipe; a humidity sensor, the humidity sensor is arranged at the same position as the nearest temperature sensor to the ground surface; a vacuum heat insulation packaging device arranged outside the temperature sensor and / or humidity sensor, used to exclude the ground surface temperature interference on the non-contact surface of the temperature sensor; the intelligent detection module comprises: The measured temperature acquisition unit is configured to acquire a measured temperature value and a measured monitoring time of the environment surrounding the buried plastic pipe. The theoretical temperature acquisition unit is configured to acquire a theoretical temperature value based on the measured monitoring time and a temperature-time database of the environment surrounding the buried plastic pipe. The leakage analysis unit is configured to compare the theoretical temperature value and the measured temperature value to determine whether the buried plastic pipe leaks. The humidity interference detection unit is configured to acquire a plurality of humidity sensors to determine whether the buried plastic pipe leakage signal is correct when it is determined that the buried plastic pipe leaks based on the temperature sensor closest to the ground surface. The priority setting module is configured to determine the priority of the leakage signal obtained by the sensor group after the buried plastic pipe leakage problem is processed. The leakage point positioning module comprises: The center point determination unit is configured to acquire a center point of all adjacent sensors that obtain the leakage signal between adjacent sensor groups when the sensor group obtains the leakage signal. The possible leakage point determination unit is configured to indirectly connect all the center points to obtain a center point connection surface, and acquire an intersection of the center point connection surface and the buried plastic pipe to obtain a possible leakage point. The leakage direction determination unit is configured to acquire the measured monitoring time of all adjacent sensors that obtain the leakage signal between adjacent sensor groups when the sensor group obtains the leakage signal, and acquire the order of the adjacent sensors that obtain the leakage signal based on the time in reverse order to obtain the leakage point direction. The leakage point positioning unit is configured to acquire the position of the leakage point of the buried plastic pipe according to the possible leakage point, the leakage direction, and the most edge leakage signal sensor that obtains the leakage signal in the leakage point direction.