Pipeline temperature monitoring system and method

Abstract

The invention relates to the technical field of pipeline temperature monitoring, and discloses a pipeline temperature monitoring system and method, and the method comprises the steps: a monitoring patch changes the surface color according to the temperature change of a pipeline, and an image collection unit converts the changed image into a gray image for a central control module to analyze. And the central control module converts the grayscale image into real-time temperature data by using a pre-established temperature model, and calculates the actual temperature of the pipeline in combination with the environment temperature data. The early warning module calculates the temperature change in real time by comparing the historical temperature data of the pipeline with the temperature change threshold value, and judges whether early warning information needs to be sent or not according to the relation between the temperature change and the threshold value. Through cooperation of all the modules, real-time monitoring and intelligent early warning of the temperature change of the pipeline are achieved, and then the safety of pipeline operation and the monitoring precision are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline temperature monitoring, and more particularly, to a pipeline temperature monitoring system and method. Background Art

[0002] As an important facility in the industrial, energy, and chemical industries, the temperature change during the operation of pipelines directly affects the safety and stability of the system. Especially in high-temperature, high-pressure, and corrosive environments, pipelines are in extreme working conditions for a long time, and are prone to safety hazards such as flange seal failure and structural damage due to local overheating or temperature difference stress. Therefore, it is of great significance to monitor the temperature change of pipelines in real time and accurately, and quickly discover potential problems to ensure the safe operation of pipelines.

[0003] Currently, traditional pipeline temperature monitoring mainly relies on manual periodic inspections and active sensor devices. Although the manual inspection method has simple equipment, it is time-consuming and laborious, cannot achieve continuous monitoring, and is easily affected by human omissions. Active sensor devices rely on external power supply, are complex to arrange and have high maintenance costs. At the same time, they are vulnerable to damage and failure in high-temperature, high-pressure, or corrosive environments, resulting in poor environmental adaptability. In addition, there may be delays in the data collection and transmission processes of existing technologies, making it difficult to timely reflect sudden temperature changes during pipeline operation, thus affecting the accuracy and response speed of early warnings.

[0004] Therefore, there is an urgent need to invent a temperature monitoring technology for pipelines to solve various problems existing in traditional pipeline temperature monitoring technologies, such as low efficiency of manual detection and low real-time performance. Summary of the Invention

[0005] In view of this, the present invention proposes a pipeline temperature monitoring system and method, aiming to solve the problems of low efficiency of manual detection and low real-time performance existing in traditional pipeline temperature monitoring technologies.

[0006] In a first aspect, the present invention proposes a pipeline temperature monitoring system, including:

[0007] A monitoring unit and an early warning unit;

[0008] The monitoring unit includes a plurality of monitoring patches, and the plurality of monitoring patches are arranged on the outer side of the pipeline to be monitored based on a preset distance. The monitoring patches are configured to change the surface color according to the change in the temperature of the pipeline;

[0009] The early warning unit includes: an environmental detection sensor, an image acquisition module, a central control module, a storage module, and an early warning module;

[0010] The environmental detection sensor is arranged in the surrounding soil body of the pipeline, and the environmental detection sensor is configured to monitor the environmental temperature of the pipeline;

[0011] The image acquisition module is configured to acquire surface images of the multiple monitoring patches and perform grayscale processing on the surface images;

[0012] The central control module is electrically connected to the environmental detection sensor and the image acquisition module respectively. The central control module is configured to determine the real-time temperature monitored by the multiple monitoring patches based on the grayscale processed surface images and a pre-established temperature model, and determine the actual temperature of the pipeline according to the relationship between the environmental temperature and the real-time temperature;

[0013] The warning module is electrically connected to the central control module and the storage module respectively. The warning module is configured to acquire the pipeline historical temperature data stored in the storage module and determine the temperature change threshold of the pipeline according to the pipeline historical temperature data; the warning module is further configured to acquire the temperature change value of the pipeline within a preset time period and determine whether the pipeline sends a warning message according to the relationship between the temperature change value and the temperature change threshold.

[0014] In a possible implementation manner, the monitoring patch includes:

[0015] An attachment layer, which is arranged on the outer side of the pipeline to be monitored, and the attachment layer is connected to the outer side wall of the pipeline. Wherein, a through hole is formed in the middle of the attachment layer;

[0016] A monitoring layer, which is arranged on the side of the attachment layer away from the pipeline, and the monitoring layer is connected to the attachment layer;

[0017] Wherein, a conduction column is further arranged on the side of the monitoring layer connected to the attachment layer. One end of the conduction column is fixedly connected to the monitoring layer, and the other end of the conduction column passes through the through hole and is connected to the outer side wall of the pipeline.

[0018] In a possible implementation manner, the materials of the monitoring layer and the conduction column are both vanadium oxide materials.

[0019] In a possible implementation manner, the central control module is further configured to acquire the surface color grayscale values of the monitoring layer at multiple first historical temperatures of the pipeline, and establish multiple temperature correlation formulas according to the multiple first historical temperatures and the surface color grayscale values;

[0020] The central control module is further configured to obtain the distance metric between the multiple historical temperature correlation formulas based on the Euclidean distance, and establish a distance matrix according to the distance metric;

[0021] The central control module is further configured to perform iterative clustering among the multiple temperature correlation formulas according to the distance matrix, and determine the temperature correlation formulas after iterative clustering as the feature vector between the surface color gray value and the temperature of the monitoring layer;

[0022] The central control module is further configured to establish the temperature model according to the feature vector.

[0023] In a possible implementation manner, when the central control module determines the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature, it includes:

[0024] The central control module is further configured to determine the actual temperature of the pipeline according to the comparison result between the ambient temperature and the real-time temperature;

[0025] When the ambient temperature is lower than the real-time temperature, the central control module determines the real-time temperature as the actual temperature of the pipeline;

[0026] When the difference between the ambient temperature and the real-time temperature is within a preset difference range, the central control module acquires the historical temperature curve within a preset period monitored by the monitoring unit, and determines the actual temperature of the pipeline according to the historical temperature curve.

[0027] In a possible implementation manner, when the central control module acquires the historical temperature curve within a preset period monitored by the monitoring unit and determines the actual temperature of the pipeline according to the historical temperature curve, it includes:

[0028] The central control module is further configured to acquire multiple second historical temperatures within the preset period, and acquire the linear relationship between the multiple second historical temperatures;

[0029] The central control module is further configured to determine the historical temperature curve according to the linear relationship, and determine the temperature vector of the temperature change of the pipeline over time according to the historical temperature curve;

[0030] The central control module is further configured to determine an adjustment coefficient according to the temperature vector, and determine the temperature obtained by adjusting the real-time temperature according to the adjustment coefficient as the actual temperature of the pipeline.

[0031] In a possible implementation manner, when the warning module is configured to determine the temperature change threshold of the pipeline according to the historical temperature of the pipeline, it includes:

[0032] The warning module is further configured to acquire multiple operating temperatures in the pipeline historical temperature data, generate multiple time series data according to the multiple operating temperatures, and record the time stamps of each time series data;

[0033] The warning module is further configured to obtain the time intervals between the timestamps of the multiple time series data, and determine a weighted mean based on the multiple time series data and the time intervals; the weighted mean satisfies the following formula:

[0034]

[0035] where L is the weighted mean, Ti is the operating temperature of the i-th time series data, wi is the weight of the i-th time interval, and n is the total number of the multiple time series data;

[0036] The warning module is further configured to obtain the temperature mean between the multiple operating temperatures, and determine the temperature change threshold of the pipeline according to the relationship between the temperature mean and the weighted mean; the temperature change threshold satisfies the following formula:

[0037] K = (L + a);

[0038] where K is the temperature change threshold of the pipeline, and a is the temperature mean.

[0039] In a possible implementation, when the warning module is further configured to determine whether to send a warning message for the pipeline according to the relationship between the temperature change value and the temperature change threshold, it includes:

[0040] The warning module is further configured to obtain the temperature change value between the actual temperature and the temperature at a preset historical time point;

[0041] The warning module is further configured to determine whether to send a warning message according to the relationship between the temperature change value and the temperature change threshold:

[0042] When the temperature change value is less than or equal to the temperature change threshold, the warning module determines not to send the warning message;

[0043] When the temperature change value is greater than the temperature change threshold, the warning module determines to send the warning message, and determines the warning level of the warning message according to the relationship between the temperature change value and the temperature change threshold.

[0044] In a possible implementation, when the warning module determines the warning level of the warning message according to the relationship between the temperature change value and the temperature change threshold, it includes:

[0045] The warning module is further configured to obtain the change ratio between the temperature change value and the temperature change threshold;

[0046] The warning module is further configured to determine the warning level of the warning information according to the relationship between the change ratio and the first preset change ratio and the second preset change ratio;

[0047] When the change ratio is less than or equal to the first preset change ratio, the warning module determines that the warning level is a low level;

[0048] When the change ratio is greater than the first preset change ratio and the change ratio is less than or equal to the change ratio, the warning module determines that the warning level is a medium level;

[0049] When the change ratio is greater than the second preset change ratio, the warning module determines that the warning level is a high level;

[0050] Wherein, the first preset change ratio is less than the second preset change ratio, and the warning levels are sorted in sequence as low level < medium level < high level.

[0051] In a second aspect, the present invention proposes a method for monitoring the temperature of a pipeline, including:

[0052] Obtain surface images of a plurality of monitoring patches, and perform grayscale processing on the surface images; the plurality of monitoring patches are arranged on the outer side of the pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change the surface color according to the change in the temperature of the pipeline;

[0053] Obtain the ambient temperature of the pipeline; the ambient detection sensor is arranged in the surrounding soil body of the pipeline, and the ambient detection sensor is configured to monitor the ambient temperature of the pipeline;

[0054] The image acquisition module is configured to obtain surface images of the plurality of monitoring patches and perform grayscale processing on the surface images;

[0055] Based on the grayscale processed surface images and a pre-established temperature model, determine the real-time temperature monitored by the plurality of monitoring patches, and determine the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature;

[0056] Obtain the historical temperature data of the pipeline, and determine the temperature change threshold according to the historical temperature data of the pipeline;

[0057] Obtain the temperature change value of the pipeline within a preset time period, and determine whether the pipeline sends a warning message according to the relationship between the temperature change value and the temperature change threshold.

[0058] In a third aspect, the present invention proposes a pipeline temperature monitoring device, including: an acquisition unit and a determination unit;

[0059] An acquisition unit, configured to acquire surface images of a plurality of monitoring patches, and perform grayscale processing on the surface images; the plurality of monitoring patches are arranged on the outer side of a pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change the surface color according to the change in the temperature of the pipeline;

[0060] The acquisition unit is further configured to acquire the ambient temperature of the pipeline; the ambient detection sensor is arranged in the surrounding soil body of the pipeline, and the ambient detection sensor is configured to monitor the ambient temperature of the pipeline;

[0061] A determination unit, configured to determine the real-time temperature monitored by the plurality of monitoring patches based on the grayscale processed surface image and a pre-established temperature model, and determine the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature;

[0062] The acquisition unit is further configured to acquire the historical temperature data of the pipeline, and determine the temperature change threshold of the pipeline according to the historical temperature data of the pipeline;

[0063] The acquisition unit is further configured to acquire the temperature change value of the pipeline within a preset time period, and determine whether the pipeline sends a warning message according to the relationship between the temperature change value and the temperature change threshold.

[0064] In a fourth aspect, a pipeline temperature monitoring device is provided, including a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the pipeline temperature monitoring device runs, the processor executes the computer execution instructions stored in the memory, so that the pipeline temperature monitoring device executes the pipeline temperature monitoring method described in the first aspect.

[0065] The pipeline temperature monitoring device may be a network device or a part of a network device, such as a chip system in a network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any one of its possible implementation manners. For example, the chip system is used to acquire, determine, and send the data and / or information involved in the pipeline temperature monitoring method described above. The chip system includes a chip, and may also include other discrete devices or circuit structures.

[0066] In a fifth aspect, a computer-readable storage medium is provided. The computer-readable storage medium includes computer execution instructions. When the computer execution instructions run on a computer, the computer is enabled to execute the pipeline temperature monitoring method described in the first aspect.

[0067] In a sixth aspect, a computer program product is also provided. The computer program product includes computer instructions that, when running on the pipeline temperature monitoring device, cause the pipeline temperature monitoring device to execute the pipeline temperature monitoring method described in the first aspect above.

[0068] It should be noted that the above computer instructions can be stored in whole or in part on a computer-readable storage medium. Among them, the computer-readable storage medium can be packaged together with the processor of the pipeline temperature monitoring device or separately packaged from the processor of the pipeline temperature monitoring device. The embodiments of the present application do not make any limitations in this regard.

[0069] For the descriptions of the second aspect, the third aspect, the fourth aspect, the fifth aspect, and the sixth aspect in the present application, reference can be made to the detailed description of the first aspect.

[0070] In the embodiments of the present application, the name of the above pipeline temperature monitoring device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear under other names. For example, the receiving unit can also be called a receiving module, a receiver, etc. As long as the functions of each device or functional module are similar to those of the present application and fall within the scope of the claims of the present application and their equivalent technologies.

[0071] Compared with the prior art, the beneficial effects of the present invention are as follows: By monitoring the color change of the patch to sense the temperature change of the pipeline, it has the characteristics of being intuitive and easy to implement. When the temperature of the pipeline rises, the color of the monitoring patch will change. The image acquisition module can accurately capture these changes and convert the image into data through grayscale processing. Based on the image data after grayscale processing and combined with the pre-established temperature model, the central control module can efficiently and accurately calculate the actual temperature of the pipeline. This method combining image processing and temperature model calculation enables the system to more accurately judge the real-time temperature change of the pipeline and avoids the errors and delays that may be brought by traditional temperature sensors. In addition, through the close cooperation with the central control module and the storage module, the warning module can issue a warning signal in time when a temperature anomaly occurs. The system will determine the temperature change threshold of the pipeline according to the stored historical temperature data and monitor the temperature fluctuation of the pipeline within a preset period. If the temperature change exceeds the preset threshold, the warning module will trigger an alarm. This dynamic temperature change threshold setting mechanism can effectively avoid sudden changes in the pipeline temperature, timely detect potential safety hazards, and provide sufficient warning time for the maintenance and repair of the pipeline, thereby effectively improving the safety and reliability of pipeline operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Upon reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Also, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0073] Figure 1 is a structural block diagram of a pipeline temperature monitoring system provided by an embodiment of the present invention;

[0074] Figure 2 is a schematic structural diagram of a monitoring patch provided by an embodiment of the present invention;

[0075] Figure 3 is a hardware schematic diagram of a pipeline temperature monitoring device provided by an embodiment of the present invention;

[0076] Figure 4 is a schematic flow diagram of a pipeline temperature monitoring method provided by an embodiment of the present invention;

[0077] Figure 5 is a schematic structural diagram of a pipeline temperature monitoring device provided by an embodiment of the present invention. Detailed Embodiments

[0078] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0079] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0080] In order to facilitate a clear description of the technical solutions in the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words such as "first" and "second" are not intended to limit the quantity and execution order.

[0081] As an important facility in the industrial, energy, and chemical fields, the temperature changes during the operation of pipelines directly affect the safety and stability of the system. Especially in high-temperature, high-pressure, and corrosive environments, pipelines are in extreme working conditions for a long time and are prone to safety hazards such as flange seal failure and structural damage due to local overheating or temperature difference stress. Therefore, it is of great significance to monitor the temperature changes of pipelines in real time and accurately and quickly detect potential problems to ensure the safe operation of pipelines.

[0082] Currently, traditional pipeline temperature monitoring mainly relies on manual regular inspections and active sensor devices. Although the manual inspection method has simple equipment, it is time-consuming and laborious, unable to achieve continuous monitoring, and is easily affected by human omissions. Active sensor devices rely on external power supply, with complex layout and high maintenance costs. At the same time, they are vulnerable to damage and failure in high-temperature, high-pressure, or corrosive environments, resulting in poor environmental adaptability. In addition, there may be delays in the data collection and transmission processes of existing technologies, making it difficult to promptly reflect the sudden temperature changes during pipeline operation, thus affecting the accuracy of early warning and the response speed.

[0083] Therefore, there is an urgent need to invent a temperature monitoring technology for pipelines to solve the problems existing in traditional pipeline temperature monitoring technologies, such as low efficiency of manual inspection, high maintenance costs and poor environmental adaptability due to the dependence of active sensors on power supply, and data transmission delay affecting real-time performance and early warning accuracy.

[0084] In response to this, this application provides a pipeline temperature monitoring system that senses pipeline temperature changes by monitoring the color changes of the monitoring patches, which has the characteristics of being intuitive and easy to implement. When the temperature of the pipeline rises, the color of the monitoring patch will change. The image acquisition module can accurately capture these changes and convert the image into data through grayscale processing. Based on the image data after grayscale processing and combined with the previously established temperature model, the central control module can efficiently and accurately calculate the actual temperature of the pipeline. This method combining image processing and temperature model calculation enables the system to more accurately judge the real-time temperature changes of the pipeline, avoiding the errors and delays that may be brought by traditional temperature sensors. In addition, through close cooperation with the central control module and the storage module, the early warning module can issue an early warning signal in a timely manner when a temperature anomaly occurs. The system determines the temperature change threshold of the pipeline based on the stored historical temperature data and monitors the temperature fluctuations of the pipeline within a preset time period. If the temperature change exceeds the preset threshold, the early warning module will trigger an alarm. This dynamic temperature change threshold setting mechanism can effectively avoid sudden changes in pipeline temperature, promptly detect potential safety hazards, and provide sufficient early warning time for pipeline maintenance and repair, thus effectively improving the safety and reliability of pipeline operation.

[0085] Such as Figure 1As shown, in some embodiments of the present application, this embodiment provides a pipeline temperature monitoring system, including: a monitoring unit and an early warning unit. Among them, the monitoring unit includes a plurality of monitoring patches. The early warning unit includes: an environmental detection sensor, an image acquisition module, a central control module, a storage module, and an early warning module.

[0086] The plurality of monitoring patches are arranged on the outer side of the pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change the surface color according to the change in the temperature of the pipeline.

[0087] Specifically, the plurality of monitoring patches are arranged side by side on the outer side of the pipeline, and the monitoring patches can change the color of the monitoring patches according to the change in temperature. For example, the surface color of the patch can be changed according to the rising state of the temperature of the pipeline. In this way, the change in the temperature of the pipeline can be characterized by the change in the color of the monitoring patch, and further, the temperature value of the pipeline can be characterized by the color of the monitoring patch. Since the monitoring patch is passive (i.e., does not require a power source), the temperature value of the pipeline can be obtained more conveniently, and the change in the temperature of the pipeline can be characterized faster through the change in the color of the monitoring patch, thereby improving the real-time performance of temperature detection.

[0088] The environmental detection sensor is arranged in the surrounding soil body of the pipeline, and the environmental detection sensor is configured to monitor the environmental temperature of the pipeline. The image acquisition module is configured to acquire the surface images of the plurality of monitoring patches and perform grayscale processing on the surface images. The central control module is electrically connected to the environmental detection sensor and the image acquisition module respectively, and the central control module is configured to determine the real-time temperature monitored by the plurality of monitoring patches based on the grayscale processed surface images and a pre-established temperature model, and determine the actual temperature of the pipeline according to the relationship between the environmental temperature and the real-time temperature.

[0089] Specifically, the environmental temperature around the pipeline can be detected by the environmental detection sensor, and the surface images of the monitoring patches can be acquired by the image acquisition module. Then, the central control module can determine the real-time temperature of the pipeline represented by the surface image, that is, the real-time temperature monitored by the monitoring patch, through the grayscale processed surface image and a pre-established temperature model. The central control module can also further correct and adjust the calculation result of the real-time temperature through the environmental temperature. This temperature calculation method enables the system to accurately reflect the actual temperature state of the pipeline, avoiding the errors and delays that may be brought by traditional sensors. And it can avoid the influence of the environmental temperature on the acquisition of the real-time temperature of the pipeline, thereby obtaining the actual temperature of the pipeline more accurately.

[0090] It can be understood that the monitoring department uses a number of monitoring patches, which are installed on the outer side of the pipeline and change their surface color according to the temperature change of the pipeline. The color change of the patch is directly related to the temperature rise. The surface image of the patch is obtained through the image acquisition module and grayscale processed to be converted into digital data. These data can reflect the temperature change on the surface of the pipeline, thus realizing the monitoring of the pipeline temperature. Secondly, in terms of data processing, the central control module, through cooperation with the environmental detection sensor and the image acquisition module, combines the pre-established temperature model to calculate and judge the actual temperature of the pipeline. Specifically, the central control module calculates the real-time temperature based on the surface image and grayscale value change of the monitoring patch, and further corrects and adjusts the calculation result of the real-time temperature by the ambient temperature of the pipeline obtained by the environmental detection sensor. This temperature calculation method enables the system to accurately reflect the actual temperature state of the pipeline, avoiding the errors and delays that may be brought by traditional sensors.

[0091] The warning module is electrically connected to the central control module and the storage module respectively. The warning module is configured to obtain the historical temperature data of the pipeline stored in the storage module and determine the temperature change threshold of the pipeline according to the historical temperature data of the pipeline; the warning module is further configured to obtain the temperature change value of the pipeline within a preset time period and determine whether to send a warning message for the pipeline according to the relationship between the temperature change value and the temperature change threshold.

[0092] Specifically, through the setting of the temperature change threshold. The warning module analyzes and determines the temperature change threshold by obtaining the historical temperature data of the pipeline in the storage module and applies these thresholds to the real-time monitoring data. When the temperature change value exceeds the preset threshold, the warning module will issue an alarm. This analysis method based on the relationship between the temperature change value and the set threshold can timely identify temperature anomalies, prevent problems such as too high temperature or sudden temperature change of the pipeline, thus improving the safety of the pipeline and providing timely warning information.

[0093] It can be seen that by using the monitoring patch, the dependence on external power sources of traditional active sensors is effectively avoided, thus reducing the maintenance cost and layout complexity. Since passive sensors can work stably in high-temperature, high-pressure or corrosive environments, secondly, the monitoring patch changes color according to the rising state of the pipeline temperature, and these changes are collected in real time by the image acquisition module, grayscaled and converted into data. This way of directly reflecting temperature changes is not only intuitive and easy to understand, but also through image processing technology, the temperature changes of the pipeline can be determined more precisely. Combining with the temperature model established by the central control module can effectively ensure the accuracy of pipeline temperature monitoring, and avoid the delay or error problems that may occur in other sensors, improving the real-time performance and reliability of data acquisition. Finally, the warning module dynamically sets the temperature change threshold by obtaining the historical temperature data of the pipeline and analyzing the temperature change trend, and effectively monitors the temperature fluctuations of the pipeline. When the temperature change exceeds the set threshold, the warning module can issue an alarm in time. This warning mechanism based on historical data analysis and threshold setting enables the system to give early warnings in time before the temperature anomaly occurs, effectively reducing the potential risks brought by pipeline temperature anomalies to pipeline safety, and ensuring the long-term stable operation and safety of the pipeline.

[0094] In some embodiments, such as Figure 2 shown, the monitoring patch includes: a monitoring layer 100 (hereinafter simply referred to as the monitoring layer) and an attachment layer 200 (hereinafter simply referred to as the attachment layer). Optionally, the monitoring patch may further include a conduction column 110 (hereinafter simply referred to as the conduction column).

[0095] The attachment layer is arranged on the outer side of the pipeline to be monitored, and the attachment layer is connected to the outer side wall of the pipeline. Among them, a through hole is opened in the middle of the attachment layer. The monitoring layer is arranged on the side of the attachment layer away from the pipeline, and the monitoring layer is connected to the attachment layer. Among them, a conduction column is also arranged on the side where the monitoring layer is connected to the attachment layer. One end of the conduction column is fixedly connected to the monitoring layer, and the other end of the conduction column passes through the through hole and is connected to the outer side wall of the pipeline.

[0096] In a possible implementation manner, the materials of the monitoring layer and the conduction column are both vanadium oxide materials.

[0097] It can be understood that the monitoring patch is fixed to the outer side of the pipeline to be monitored through the adhesion layer, and realizes effective connection with the outer wall of the pipeline through the through holes and the conduction columns. The design of the adhesion layer ensures that the monitoring patch can be firmly attached to the pipeline surface, preventing loosening or detachment caused by temperature changes on the pipeline surface, so as to achieve continuous and stable temperature monitoring. Secondly, the combination of the monitoring layer and the conduction columns enables the monitoring patch to effectively sense the temperature changes of the pipeline. As a medium for temperature conduction, the conduction columns transmit the temperature changes of the pipeline to the monitoring layer, and utilize the conduction characteristics of the vanadium oxide material to ensure that the temperature signal can be accurately transmitted to the monitoring layer, thereby improving the real-time performance of temperature detection. The vanadium oxide material itself has good thermal conductivity, enabling temperature changes to be quickly and accurately transmitted to the monitoring layer through the conduction columns, improving the response speed and accuracy of the system to temperature changes. In addition, when the vanadium oxide material of the monitoring layer is affected by the temperature change of the pipeline, physical changes will occur, and these changes can be read through the interface with the external system, thereby realizing the function of temperature monitoring. The vanadium oxide material has a certain variability under the influence of temperature changes and can accurately reflect the temperature changes on the pipeline surface.

[0098] In some embodiments, the central control module is further configured to obtain the surface color gray values of the monitoring layer at multiple first historical temperatures of the pipeline, and establish multiple temperature correlation formulas based on the multiple first historical temperatures and the surface color gray values; the central control module is further configured to obtain the distance metric between the multiple historical temperature correlation formulas based on the Euclidean distance, and establish a distance matrix according to the distance metric; the central control module is further configured to perform iterative clustering on the multiple temperature correlation formulas according to the distance matrix, and determine the temperature correlation formula after iterative clustering as the eigenvector between the surface color gray value of the monitoring layer and the temperature; the central control module is further configured to establish a temperature model according to the eigenvector.

[0099] It can be understood that, in order to establish a temperature model, the central control module can obtain the surface color gray values of the monitoring layer at different historical temperatures, combine this data with the corresponding temperature information, and establish a correlation formula between temperature and surface color gray values. This correlation formula serves to link the color change of the monitoring patch with the actual temperature change, can characterize the corresponding relationship between temperature and image color, and provides a reliable mathematical model basis for subsequent temperature monitoring. In this way, the temperature of the pipeline can be determined by monitoring the color change of the monitoring patch. Then, the central control module uses the Euclidean distance to quantify the similarity between different temperature correlation formulas. As a commonly used distance metric method, the Euclidean distance is used to evaluate the difference between the color gray values and temperature at each temperature state. By calculating the distance metric, the central control module can create a distance matrix that reflects the relative relationship between each temperature correlation formula. This process enables the correlation relationship between temperature and color gray values at different temperatures to be clearly expressed mathematically, thereby providing data support for subsequent analysis and processing. Finally, the central control module uses the distance matrix to perform iterative clustering on each temperature correlation formula, and optimizes and refines the relationship between temperature and surface color gray values through cluster analysis. Iterative clustering groups different temperature correlation formulas according to similarity, and then generates an accurate temperature relationship formula, which is used as a feature vector to represent the relationship between temperature and the surface color of the monitoring layer. Finally, the central control module establishes a complete temperature model based on these feature vectors, thereby realizing the precise monitoring and real-time analysis of the pipeline temperature. This temperature model can not only improve the accuracy of the system, but also ensure the effective interpretation of monitoring data under different temperature conditions.

[0100] In some embodiments, when the central control module determines the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature, it includes: The central control module is further configured to determine the actual temperature of the pipeline according to the comparison result between the ambient temperature and the real-time temperature: when the ambient temperature is lower than the real-time temperature, the central control module determines the real-time temperature as the actual temperature of the pipeline. When the difference between the ambient temperature and the real-time temperature is within a preset difference interval (or the same), the central control module obtains the historical temperature curve within a preset period monitored by the monitoring unit, and determines the actual temperature of the pipeline according to the historical temperature curve.

[0101] Among them, the preset difference interval may include zero. The preset difference interval is used to determine the actual temperature when the ambient temperature and the real-time temperature are not much different.

[0102] Specifically, by comparing the ambient temperature with the real-time temperature, multiple judgment bases are provided for the accurate monitoring of the pipeline temperature. When the ambient temperature is lower than the real-time temperature, the real-time temperature is directly used as the actual temperature of the pipeline. This method can reflect the pipeline state in real time and ensure accurate data can be obtained in a timely manner when the temperature changes rapidly. Through this simplified judgment, a quick response can be made in a dynamic monitoring environment, reducing the interference caused by ambient temperature changes, thereby improving the real-time performance and accuracy of monitoring. When the ambient temperature of the pipeline is the same (or similar) to the monitored real-time temperature, the actual temperature of the pipeline can be determined through the historical temperature curve within a preset period, that is, the temperature of the pipeline at the current moment is determined by the change of the pipeline temperature within the historical preset period (such as verifying or correcting the real-time temperature). For example, the temperature of the pipeline at the current moment one day ago is determined as the actual temperature at the current moment.

[0103] In a possible implementation manner, when the central control module obtains the historical temperature curve within a preset period monitored by the monitoring unit and determines the actual temperature of the pipeline according to the historical temperature curve, it includes: The central control module is further configured to obtain multiple second historical temperatures within the preset period and obtain the linear relationship between the multiple second historical temperatures. The central control module is further configured to determine the historical temperature curve according to the linear relationship and determine the temperature vector of the pipeline temperature changing with time according to the historical temperature curve. The central control module is further configured to determine the adjustment coefficient according to the temperature vector and determine the temperature obtained by adjusting the real-time temperature according to the adjustment coefficient as the actual temperature of the pipeline.

[0104] Specifically, when the ambient temperature is consistent with the real-time temperature, the central control module further verifies and corrects the actual temperature of the pipeline through the historical temperature curve. By obtaining the historical temperature data within a preset period and analyzing its linear relationship, the central control module can establish a relatively accurate temperature change model (that is, the temperature vector representing the change relationship between temperature and time), which helps to handle the situation where the temperature changes relatively smoothly. In this case, not only relying on real-time data, but also combining historical data for comparison and correction to ensure that the calculation of the pipeline temperature is more stable and reliable. Especially when the temperature change is not obvious, the accuracy of temperature estimation can be improved through historical data. Finally, the central control module further optimizes the determination of the real-time temperature according to the linear relationship and adjustment coefficient of the historical temperature curve. The beneficial effect of this process is that it can dynamically adjust the accuracy of temperature judgment, considering the changing trend of the pipeline temperature over time. Through this adjustment mechanism based on historical data and linear relationship, the temperature error is effectively reduced, and a self-correcting temperature monitoring model is provided, thereby improving the overall stability and accuracy of the pipeline temperature monitoring system.

[0105] In some embodiments, when the warning module is configured to determine the temperature change threshold of the pipeline according to the historical pipeline temperature, it includes: the warning module is further configured to obtain multiple operating temperatures in the pipeline historical temperature data, generate multiple time series data based on the multiple operating temperatures, and record the timestamps of each time series data. The warning module is further configured to obtain the time intervals between the timestamps of the multiple time series data, and determine the weighted mean according to the multiple time series data and the time intervals. The weighted mean satisfies the following formula:

[0106]

[0107] where L is the weighted mean, Ti is the operating temperature of the i-th time series data, wi is the weight of the i-th time interval, and n is the total number of the multiple time series data. The warning module is further configured to obtain the temperature mean between the multiple operating temperatures, and determine the temperature change threshold of the pipeline according to the relationship between the temperature mean and the weighted mean. The temperature change threshold satisfies the following formula:

[0108] K = (L + a);

[0109] where K is the temperature change threshold of the pipeline, and a is the temperature mean.

[0110] Optionally, the multiple operating temperatures can be multiple normally operating temperatures, for example, the pipeline temperature within a preset temperature range, or the temperature with the temperature change amount within a preset change amount range.

[0111] Specifically, the warning module generates a time series by obtaining the normal operating temperature data in the pipeline historical temperature and records the timestamps of each time series data. These time series data reflect the temperature changes of the pipeline under normal operating conditions. The warning module calculates the time intervals between the time series data to obtain the time distribution of temperature changes. It can accurately capture the temperature fluctuations of the pipeline during normal operation, providing a basis for determining the subsequent temperature change threshold. Then, the warning module determines the weighted mean according to the relationship between the time series data and the time intervals. The calculation method of the weighted mean takes into account the influence of the time intervals between the time series data on temperature changes, so as to more reasonably reflect the law of the pipeline temperature changing over time. In this way, the warning module can avoid the errors caused by the temperature data at a single time point and more comprehensively evaluate the changing trend of the pipeline temperature, thus providing a more accurate basis for determining the temperature threshold. Finally, the warning module calculates the temperature change threshold of the pipeline according to the relationship between the mean value of the normal operating temperature and the weighted mean. The temperature change threshold is the maximum temperature fluctuation range allowed for the pipeline temperature during operation. When the threshold is exceeded, the system will send a warning signal. Through this process, the warning module can reasonably determine a reliable temperature change range based on the combination of historical temperature data and the weighted mean, thus ensuring that abnormal situations such as excessive temperature rise do not occur during the operation of the pipeline.

[0112] In a possible implementation, when the warning module is further configured to determine whether to send a warning message for the pipeline according to the relationship between the temperature change value and the temperature change threshold, it includes: The warning module is further configured to obtain the temperature change value between the actual temperature and the temperature at a preset historical time point. The warning module is further configured to determine whether to send a warning message according to the relationship between the temperature change value and the temperature change threshold: when the temperature change value is less than or equal to the temperature change threshold, the warning module determines not to send a warning message. When the temperature change value is greater than the temperature change threshold, the warning module determines to send a warning message and determines the warning level of the warning message according to the relationship between the temperature change value and the temperature change threshold.

[0113] Specifically, the warning module can obtain the actual temperature of the pipeline at the current moment and the temperature at a preset historical time point before the current moment (that is, the time point within a preset time period before the current moment, for example, the temperature at the time point one minute ago) to determine the temperature change value. This temperature change value can characterize the rate of increase or decrease of the pipeline temperature during this preset time period. The warning module can determine whether to give a warning according to the relationship between the temperature change value and the temperature change threshold in terms of time, for example, give a warning when the temperature rises too fast.

[0114] In a possible implementation, when the early warning module determines the early warning level of the early warning information according to the relationship between the temperature change value and the temperature change threshold, it includes: the early warning module is also configured to obtain the change ratio between the temperature change value and the temperature change threshold. The early warning module is also configured to determine the early warning level of the early warning information according to the relationship between the change ratio and the first preset change ratio and the second preset change ratio (for example, pre-configured by the early warning module). When the change ratio is less than or equal to the first preset change ratio, the early warning module determines that the early warning level is a low level. When the change ratio is greater than the first preset change ratio, and the change ratio is less than or equal to the change ratio, the early warning module determines that the early warning level is a medium level. When the change ratio is greater than the second preset change ratio, the early warning module determines that the early warning level is a high level. Among them, the first preset change ratio is less than the second preset change ratio, and the early warning levels are arranged in order as low level less than medium level less than high level.

[0115] It is understandable that the early warning module calculates the temperature change value by obtaining the actual temperature of the pipeline and the temperature of the adjacent historical period. The temperature change value reflects the change of the pipeline temperature between two time points. By comparing with the preset temperature change threshold, when the temperature change value is less than or equal to the temperature change threshold, it is judged that the temperature change is within the normal range and it is decided not to send an early warning message. This process ensures that it can automatically determine whether there is an excessive temperature fluctuation, thereby avoiding unnecessary early warnings. When the temperature change value is greater than the temperature change threshold, an early warning message will be sent, and the level of the early warning message will be determined according to the relationship between the temperature change value and the temperature change threshold. Specifically, the early warning module determines the severity of the temperature change by calculating the change ratio between the temperature change value and the temperature change threshold. The larger the change ratio, the stronger the response to the more severe the temperature fluctuation. In this way, the response intensity can be flexibly adjusted to avoid over-response to small changes, while also ensuring that early warnings are issued in time when abnormal situations occur. The early warning module further determines the early warning level by comparing the change ratio with several pre-set thresholds. When the change ratio is lower than or equal to the first preset change ratio, the warning is determined to be low level, indicating that the temperature fluctuation is small and may not require emergency treatment; when the change ratio is between the first and second preset change ratios, the warning is medium level, indicating that the temperature change is large and needs attention; when the change ratio exceeds the second preset change ratio, the warning is high level, indicating that the temperature fluctuation is very large, there may be serious problems, and must be handled in time. In this way, the warning module can flexibly adjust the priority and processing strategy of the warning response according to the actual situation, effectively improving the system's adaptability and responsiveness to different temperature changes.

[0116] In the above embodiments, by monitoring the color change of the patch to sense the temperature change of the pipeline, it has the characteristics of being intuitive and easy to implement. When the temperature of the pipeline rises, the color of the monitoring patch will change. The image acquisition module can accurately capture these changes and convert the image into data through grayscale processing. Based on the image data after grayscale processing and combined with the pre-established temperature model, the central control module can efficiently and accurately calculate the actual temperature of the pipeline. This method combining image processing and temperature model calculation enables the system to more accurately judge the real-time temperature change of the pipeline, avoiding the errors and delays that may be brought by traditional temperature sensors. In addition, through the close cooperation with the central control module and the storage module, the warning module can send out warning signals in time when the temperature is abnormal. The system will determine the temperature change threshold of the pipeline according to the stored historical temperature data and monitor the temperature fluctuation of the pipeline within a preset period. If the temperature change exceeds the preset threshold, the warning module will trigger an alarm. This dynamic temperature change threshold setting mechanism can effectively avoid sudden changes in the pipeline temperature, timely detect potential safety hazards, provide sufficient warning time for pipeline maintenance and repair, and thus effectively improve the safety and reliability of pipeline operation.

[0117] The basic hardware structure of the central control module includes Figure 3 the components included in the pipeline temperature monitoring device shown. Below, taking Figure 3 the pipeline temperature monitoring device shown as an example, the hardware structure of the central control module will be introduced.

[0118] As Figure 3 shown, it is a schematic diagram of a hardware structure of a pipeline temperature monitoring device provided by an embodiment of the present application. The pipeline temperature monitoring device includes a processor 21, a memory 22, a communication interface 23, and a bus 24. The processor 21, the memory 22, and the communication interface 23 can be connected through the bus 24.

[0119] The processor 21 is the control center of the pipeline temperature monitoring device, which can be a single processor or a collective term for multiple processing elements. For example, the processor 21 can be a general-purpose central processing unit (CPU), or other general-purpose processors, etc. Among them, the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0120] As an embodiment, the processor 21 can include one or more CPUs, such as Figure 3 the CPU 0 and CPU 1 shown in

[0121] The memory 22 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or it can be an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0122] In a possible implementation, the memory 22 can exist independently of the processor 21. The memory 22 can be connected to the processor 21 through the bus 24 and is used to store instructions or program code. When the processor 21 calls and executes the instructions or program code stored in the memory 22, it can implement the laser data synchronous transmission method based on quantum entanglement provided in the following embodiments of the present application.

[0123] In the embodiments of the present application, for the central control module, since the software programs stored in the memory 22 are different, the functions implemented by the central control module are also different.

[0124] In another possible implementation, the memory 22 can also be integrated with the processor 21.

[0125] The communication interface 23 is used for the pipeline temperature monitoring device to be connected to other devices through a communication network. The communication network can be an Ethernet, a wireless access network, a wireless local area network (WLAN), etc. The communication interface 23 can include a receiving unit for receiving data and a sending unit for sending data.

[0126] The bus 24 can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 3 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0127] It should be noted thatFigure 3 The structure shown does not constitute a limitation on the pipeline temperature monitoring device. Except Figure 3 for the components shown, the pipeline temperature monitoring device may include more or fewer components than those shown, or combine certain components, or have different component arrangements.

[0128] The above mainly introduced the solution provided by the embodiments of the present application from the perspective of the system. To implement the above functions, it includes the corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described function for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0129] The pipeline temperature monitoring method provided by the embodiments of the present application will be introduced in detail below with reference to the accompanying drawings.

[0130] The pipeline temperature monitoring method provided by the embodiments of the present application is applied to Figure 1 the central control module in the pipeline temperature monitoring system shown. As Figure 4 shown, the pipeline temperature monitoring method includes:

[0131] S401. Obtain the surface images of multiple monitoring patches, and perform grayscale processing on the surface images. Among them, the multiple monitoring patches are arranged on the outer side of the pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change the surface color according to the change in the temperature of the pipeline;

[0132] S402. Obtain the ambient temperature of the pipeline; the ambient detection sensor is arranged in the surrounding soil body of the pipeline, and the ambient detection sensor is configured to monitor the ambient temperature of the pipeline.

[0133] S403. Based on the grayscale processed surface image and the pre-established temperature model, determine the real-time temperature monitored by the multiple monitoring patches, and determine the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature.

[0134] S404. Obtain the pipeline historical temperature data of the pipeline, and determine the temperature change threshold of the pipeline according to the pipeline historical temperature data.

[0135] S405. Obtain the temperature change value of the pipeline within a preset period, and determine whether the pipeline sends a warning message according to the relationship between the temperature change value and the temperature change threshold.

[0136] The pipeline temperature change is sensed by monitoring the color change of the patch, which is intuitive and easy to implement. When the temperature of the pipeline rises, the color of the monitoring patch changes. The image acquisition module can accurately capture these changes and convert the images into data through grayscale processing. Based on the image data after grayscale processing and combined with the pre-established temperature model, the central control module can efficiently and accurately calculate the actual temperature of the pipeline. This method combining image processing and temperature model calculation enables the system to more accurately judge the real-time temperature change of the pipeline, avoiding the errors and delays that may be caused by traditional temperature sensors. In addition, through close cooperation with the central control module and the storage module, the warning module can issue a warning signal in a timely manner when the temperature is abnormal. The system determines the temperature change threshold of the pipeline based on the stored historical temperature data and monitors the temperature fluctuation of the pipeline within a preset period. If the temperature change exceeds the preset threshold, the warning module will trigger an alarm. This dynamic temperature change threshold setting mechanism can effectively avoid sudden changes in the pipeline temperature, timely detect potential safety hazards, provide sufficient warning time for pipeline maintenance and repair, and thus effectively improve the safety and reliability of pipeline operation.

[0137] Those skilled in the art should understand that the embodiments of the present application can be provided as a system, a device, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0138] The embodiments of the present application can divide the pipeline temperature monitoring device into functional modules according to the above method examples. For example, each functional module can be corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, and is only a logical function division. There may be other division methods in actual implementation.

[0139] As Figure 5 shown, it is a schematic structural diagram of a pipeline temperature monitoring device provided by an embodiment of the present application. Figure 5 The pipeline temperature monitoring device shown includes: an acquisition unit 501 and a determination unit 502;

[0140] An acquisition unit 501, configured to acquire surface images of a plurality of monitoring patches, and perform grayscale processing on the surface images; the plurality of monitoring patches are arranged on the outer side of a pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change the surface color according to the change of the temperature of the pipeline;

[0141] The acquisition unit 501 is further configured to acquire the ambient temperature of the pipeline; the ambient detection sensor is arranged in the surrounding soil body of the pipeline, and the ambient detection sensor is configured to monitor the ambient temperature of the pipeline;

[0142] A determination unit 502, configured to determine the real-time temperature monitored by the plurality of monitoring patches based on the grayscale processed surface image and a pre-established temperature model, and determine the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature;

[0143] The acquisition unit 501 is further configured to acquire the pipeline historical temperature data of the pipeline, and determine the temperature change threshold of the pipeline according to the pipeline historical temperature data;

[0144] The acquisition unit 501 is further configured to acquire the temperature change value of the pipeline within a preset time period, and determine whether the pipeline sends a warning message according to the relationship between the temperature change value and the temperature change threshold.

[0145] In a possible implementation manner, the monitoring patch includes:

[0146] An attachment layer, arranged on the outer side of the pipeline to be monitored, the attachment layer is connected to the outer side wall of the pipeline, wherein a through hole is formed in the middle of the attachment layer;

[0147] A monitoring layer, arranged on the side of the attachment layer away from the pipeline, the monitoring layer is connected to the attachment layer;

[0148] Wherein, a conduction column is further arranged on the side of the monitoring layer connected to the attachment layer, one end of the conduction column is fixedly connected to the monitoring layer, and the other end of the conduction column passes through the through hole and is connected to the outer side wall of the pipeline.

[0149] In a possible implementation manner, the materials of the monitoring layer and the conduction column are both vanadium oxide materials.

[0150] In a possible implementation manner, the device further includes a processing unit 503.

[0151] The acquisition unit 501 is further configured to acquire the surface color grayscale values of the monitoring layer at a plurality of first historical temperatures of the pipeline, and establish a plurality of temperature correlation formulas according to the plurality of first historical temperatures and the surface color grayscale values;

[0152] The obtaining unit 501 is further configured to obtain a distance metric between the multiple historical temperature correlation formulas based on the Euclidean distance, and establish a distance matrix according to the distance metric;

[0153] The processing unit 503 is configured to perform iterative clustering on the multiple temperature correlation formulas according to the distance matrix, and determine the temperature correlation formulas after iterative clustering as the eigenvector between the surface color gray value and the temperature of the monitoring layer;

[0154] The processing unit 503 is further configured to establish the temperature model according to the eigenvector.

[0155] In a possible implementation manner, the determining unit 502 is specifically configured to:

[0156] The central control module is further configured to determine the actual temperature of the pipeline according to the comparison result between the environmental temperature and the real-time temperature;

[0157] When the environmental temperature is lower than the real-time temperature, the central control module determines the real-time temperature as the actual temperature of the pipeline;

[0158] When the difference between the environmental temperature and the real-time temperature is within a preset difference range, the central control module obtains the historical temperature curve within a preset period monitored by the monitoring unit, and determines the actual temperature of the pipeline according to the historical temperature curve.

[0159] In a possible implementation manner, the obtaining unit 501 is specifically configured to:

[0160] The central control module is further configured to obtain multiple second historical temperatures within the preset period, and obtain the linear relationship between the multiple second historical temperatures;

[0161] The central control module is further configured to determine the historical temperature curve according to the linear relationship, and determine the temperature vector of the temperature change of the pipeline over time according to the historical temperature curve;

[0162] The central control module is further configured to determine an adjustment coefficient according to the temperature vector, and determine the temperature obtained by adjusting the real-time temperature according to the adjustment coefficient as the actual temperature of the pipeline.

[0163] In a possible implementation manner, the determining unit 502 is specifically configured to:

[0164] The warning module is further configured to obtain multiple operating temperatures in the pipeline historical temperature data, generate multiple time series data according to the multiple operating temperatures, and record the time stamps of each time series data;

[0165] The warning module is further configured to obtain the time intervals between the timestamps of the multiple time series data, and determine a weighted mean according to the multiple time series data and the time intervals; the weighted mean satisfies the following formula:

[0166]

[0167] where L is the weighted mean, Ti is the operating temperature of the i-th time series data, wi is the weight of the i-th time interval, and n is the total number of the multiple time series data;

[0168] The warning module is further configured to obtain the temperature mean between the multiple operating temperatures, and determine the temperature change threshold of the pipeline according to the relationship between the temperature mean and the weighted mean; the temperature change threshold satisfies the following formula:

[0169] K = (L + a);

[0170] where K is the temperature change threshold of the pipeline and a is the temperature mean.

[0171] In a possible implementation manner, the determining unit 502 is specifically configured to:

[0172] The warning module is further configured to obtain the temperature change value between the actual temperature and the temperature at a preset historical time point;

[0173] The warning module is further configured to determine whether to send a warning message according to the relationship between the temperature change value and the temperature change threshold:

[0174] When the temperature change value is less than or equal to the temperature change threshold, the warning module determines not to send the warning message;

[0175] When the temperature change value is greater than the temperature change threshold, the warning module determines to send the warning message, and determines the warning level of the warning message according to the relationship between the temperature change value and the temperature change threshold.

[0176] In a possible implementation manner, the determining unit 502 is specifically configured to:

[0177] The warning module is further configured to obtain the change ratio between the temperature change value and the temperature change threshold;

[0178] The warning module is further configured to determine the warning level of the warning message according to the relationship between the change ratio and a first preset change ratio and a second preset change ratio;

[0179] When the change ratio is less than or equal to the first preset change ratio, the warning module determines that the warning level is the low level;

[0180] When the change ratio is greater than the first preset change ratio and less than or equal to the second preset change ratio, the warning module determines that the warning level is the medium level;

[0181] When the change ratio is greater than the second preset change ratio, the warning module determines that the warning level is the high level;

[0182] Wherein, the first preset change ratio is less than the second preset change ratio, and the warning levels are sorted in ascending order as low level < medium level < high level.

[0183] This application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of processes and / or blocks in the flowcharts and / or block diagrams can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0184] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0185] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0186] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A pipeline temperature monitoring system, characterized in that: include: Monitoring and Early Warning Department; The monitoring unit includes a plurality of monitoring patches, and the plurality of monitoring patches are arranged outside the pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change surface color according to changes in the temperature of the pipeline; The early warning unit includes: an environment detection sensor, an image acquisition module, a central control module, a storage module and an early warning module; The environment detection sensor is disposed in the soil around the pipeline, and the environment detection sensor is configured to monitor the ambient temperature of the pipeline; The image acquisition module is configured to obtain surface images of the plurality of monitoring patches and perform grayscale processing on the surface images; The central control module is electrically connected to the environment detection sensor and the image acquisition module respectively, and is configured to determine the real-time temperature monitored by the multiple monitoring patches based on the grayscale processed surface image and the pre-established temperature model, and determine the actual temperature of the pipeline according to the relationship between the environment temperature and the real-time temperature; The early warning module is electrically connected to the central control module and the storage module respectively. The early warning module is configured to obtain the historical temperature data of the pipeline stored in the storage module, and determine the temperature change threshold of the pipeline according to the historical temperature data of the pipeline; the early warning module is also configured to obtain the temperature change value of the pipeline within a preset time period, and determine whether the pipeline sends early warning information according to the relationship between the temperature change value and the temperature change threshold.

2. The pipeline temperature monitoring system according to claim 1, characterized in that: The monitoring patch comprises: An adhesion layer is arranged on the outside of the pipeline to be monitored, the adhesion layer is connected to the outer wall of the pipeline, wherein a through hole is opened in the middle of the adhesion layer; A monitoring layer is arranged on a side of the attachment layer away from the pipeline, and the monitoring layer is connected to the attachment layer; A conductive column is further provided on the side where the monitoring layer is connected to the adhesion layer, one end of the conductive column is fixedly connected to the monitoring layer, and the other end of the conductive column passes through the through hole and is connected to the outer wall of the pipeline.

3. The pipeline temperature monitoring system according to claim 2, characterized in that: The monitoring layer and the conductive column are both made of vanadium oxide.

4. The pipeline temperature monitoring system according to claim 3, characterized in that: The central control module is further configured to obtain the surface color grayscale values ​​of the monitoring layer at multiple first historical temperatures of the pipeline, and establish multiple temperature correlation equations according to the multiple first historical temperatures and the surface color grayscale values; The central control module is further configured to obtain a distance metric between the plurality of historical temperature association equations based on Euclidean distance, and establish a distance matrix according to the distance metric; The central control module is further configured to iteratively cluster the multiple temperature correlation equations according to the distance matrix, and determine the temperature correlation equation after iterative clustering as a feature vector between the surface color gray value and the temperature of the monitoring layer; The central control module is further configured to establish the temperature model according to the feature vector.

5. The pipeline temperature monitoring system according to claim 1, characterized in that: When the central control module determines the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature, it includes: The central control module is further configured to determine the actual temperature of the pipeline according to a comparison result between the ambient temperature and the real-time temperature; When the ambient temperature is lower than the real-time temperature, the central control module determines that the real-time temperature is the actual temperature of the pipeline; When the difference between the ambient temperature and the real-time temperature is within a preset difference interval, the central control module obtains a historical temperature curve within a preset time period monitored by the monitoring unit, and determines the actual temperature of the pipeline according to the historical temperature curve.

6. The pipeline temperature monitoring system according to claim 5, characterized in that: When the central control module obtains the historical temperature curve within a preset period monitored by the monitoring unit and determines the actual temperature of the pipeline according to the historical temperature curve, it includes: The central control module is further configured to obtain a plurality of second historical temperatures within the preset period, and obtain a linear relationship between the plurality of second historical temperatures; The central control module is further configured to determine the historical temperature curve according to the linear relationship, and determine a temperature vector of the temperature of the pipeline changing with time according to the historical temperature curve; The central control module is further configured to determine an adjustment coefficient according to the temperature vector, and determine the temperature after adjusting the real-time temperature according to the adjustment coefficient as the actual temperature of the pipeline.

7. The pipeline temperature monitoring system according to claim 1, characterized in that: When the early warning module is configured to determine the temperature change threshold of the pipeline according to the historical temperature of the pipeline, it includes: The early warning module is further configured to obtain a plurality of operating temperatures in the historical temperature data of the pipeline, generate a plurality of time series data according to the plurality of operating temperatures, and record a timestamp of each time series data; The early warning module is further configured to obtain the time intervals between the timestamps of the multiple time series data, and determine a weighted mean according to the multiple time series data and the time intervals; the weighted mean satisfies the following formula: Wherein, L is the weighted mean, Ti is the operating temperature of the i-th time series data, wi is the weight of the i-th time interval, and n is the total number of the multiple time series data; The early warning module is further configured to obtain a temperature mean value between the multiple operating temperatures, and determine a temperature change threshold value of the pipeline according to a relationship between the temperature mean value and the weighted mean value; the temperature change threshold value satisfies the following formula: K = (L + a); Wherein, K is the temperature change threshold of the pipeline, and a is the temperature mean.

8. The pipeline temperature monitoring system according to claim 1, characterized in that: The early warning module is further configured to determine whether the pipeline sends early warning information according to the relationship between the temperature change value and the temperature change threshold, including: The early warning module is further configured to obtain a temperature change value between the actual temperature and the temperature at a preset historical time point; The early warning module is further configured to determine whether to send early warning information according to the relationship between the temperature change value and the temperature change threshold: When the temperature change value is less than or equal to the temperature change threshold, the early warning module determines not to send the early warning information; When the temperature change value is greater than the temperature change threshold, the warning module determines to send the warning information, and determines the warning level of the warning information according to the relationship between the temperature change value and the temperature change threshold.

9. The pipeline temperature monitoring system according to claim 8, characterized in that: When the early warning module determines the early warning level of the early warning information according to the relationship between the temperature change value and the temperature change threshold, it includes: The early warning module is further configured to obtain a change ratio between the temperature change value and the temperature change threshold; The warning module is further configured to determine the warning level of the warning information according to the relationship between the change ratio and the first preset change ratio and the second preset change ratio; When the change ratio is less than or equal to the first preset change ratio, the warning module determines that the warning level is a low level; When the change ratio is greater than the first preset change ratio, and the change ratio is less than or equal to the change ratio, the early warning module determines that the early warning level is a medium level; When the change ratio is greater than the second preset change ratio, the warning module determines that the warning level is a high level; Among them, the first preset change ratio is smaller than the second preset change ratio, and the warning levels are arranged in sequence as low level smaller than medium level smaller than high level.

10. A pipeline temperature monitoring method, applied to the pipeline temperature monitoring system according to any one of claims 1 to 9, characterized in that: include: Acquire surface images of multiple monitoring patches, and perform grayscale processing on the surface images; The plurality of monitoring patches are arranged outside the pipeline to be monitored based on a preset distance, and the monitoring patches are configured to change surface color according to changes in the temperature of the pipeline; Acquiring the ambient temperature of the pipeline; the environmental detection sensor is disposed in the soil surrounding the pipeline, and the environmental detection sensor is configured to monitor the ambient temperature of the pipeline; Based on the grayscale processed surface image and the pre-established temperature model, determining the real-time temperature monitored by the plurality of monitoring patches, and determining the actual temperature of the pipeline according to the relationship between the ambient temperature and the real-time temperature; Acquiring historical pipeline temperature data of the pipeline, and determining a temperature change threshold of the pipeline according to the historical pipeline temperature data; The temperature change value of the pipeline within a preset time period is obtained, and according to the relationship between the temperature change value and the temperature change threshold, it is determined whether the pipeline sends an early warning message.

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