Real-time temperature monitoring system and method for industrial thermal insulation layer

Abstract

The invention provides an industrial thermal insulation layer real-time temperature monitoring system and method, and the system comprises a data obtaining module which is disposed on a pipeline thermal insulation layer structure and is used for obtaining the temperature in an industrial pipeline thermal insulation layer in real time; the data acquisition module is in communication connection with the temperature sensor and is used for acquiring temperature data in the temperature sensor in real time, acquiring position data of the temperature data, generating a position mark and associating the position mark with the corresponding temperature data; the analysis and evaluation module is in communication connection with the data acquisition module and is used for judging whether the temperature data is abnormal or not and generating evaluation data based on a judgment result; and the early warning module is in communication connection with the analysis and evaluation module, and is used for analyzing the evaluation data, determining an early warning level and giving an alarm. The temperature data can be acquired in real time, the acquisition position of the temperature data can be determined, abnormal temperature data can be quickly positioned, and the detection efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of industrial monitoring technology, specifically to a real-time temperature monitoring system and method for industrial insulation layers. Background Technology

[0002] In industrial production, numerous pipelines and equipment (such as reactors, storage tanks, towers, and steam turbines) require insulation layers to maintain process temperatures, conserve energy, or protect personnel safety. The insulation layer acts as the "outer garment" of the equipment, playing a crucial role in its long-term stable operation. However, during long-term operation, the thermal performance of the insulation layer may decline or even fail completely due to factors such as moisture intrusion, material aging, physical damage, and installation defects. Among these, moisture intrusion is one of the main causes of insulation layer failure and secondary hazards. When moisture (such as rainwater, process leaks, cleaning water, condensate, etc.) seeps into the insulation layer, it significantly increases the thermal conductivity of the insulation material, leading to a sharp increase in heat loss and serious energy waste. More dangerously, on carbon steel or low alloy steel equipment, the moisture trapped between the insulation layer and the outer wall of the equipment can create an oxygen-deficient and continuously humid environment. In this environment, rapid and insidious corrosion under insulation (CUI) is very likely to occur. Because CUI occurs under the insulation layer, it is difficult to observe directly and has a strong degree of concealment. Often, by the time it is discovered, it has already caused serious thinning of the equipment wall and a decrease in strength, and may even lead to catastrophic safety accidents such as equipment leaks, fires, and explosions, resulting in huge economic losses and environmental risks.

[0003] Currently, the conventional methods for detecting insulation layer conditions and CUI risks involve inspectors using handheld infrared thermal scanners to scan pipelines and their insulation layers. The infrared thermal imaging identifies cold or hot spots on the high-temperature layer, revealing areas of insulation failure or dampness. Alternatively, manual tapping of the insulation layer is used to assess dampness or detachment based on sound feedback. In areas where the problem is uncertain, openings are made to inspect the internal condition of the insulation and the corrosion of the equipment's outer walls. While these methods can detect insulation layer defects, they are only suitable for plants with a limited number of pipelines and insulation layers. For plants with a large number of pipelines and insulation layers, inspections are time-consuming, typically conducted monthly, quarterly, or even annually. Such inspections cannot provide continuous monitoring and may result in delayed responses to sudden moisture intrusion or rapidly developing CUI, missing the optimal treatment window. Furthermore, each inspection requires significant manpower, leading to low efficiency. Summary of the Invention

[0004] To address the issues of low efficiency in personnel monitoring the insulation layer of pipelines, the need for periodic inspections, and the significant delays in responding to sudden accidents, this invention provides a real-time temperature monitoring system and method for industrial insulation layers.

[0005] To achieve the above objectives, the present invention provides the following technical solution: This invention proposes a real-time temperature monitoring system for industrial insulation layers, the system comprising: The data acquisition module is installed on the pipe insulation layer structure to acquire the temperature in the industrial pipe insulation layer in real time. The data acquisition module is communicatively connected to the temperature sensor and is used to acquire temperature data from the temperature sensor in real time, obtain the location data of the temperature data, generate a location marker, and associate the location marker with the corresponding temperature data. An analysis and evaluation module, which is communicatively connected to the data acquisition module, is used to determine whether the temperature data is abnormal and generate evaluation data based on the determination result. The early warning module is communicatively connected to the analysis and evaluation module, and is used to analyze the evaluation data, determine the early warning level, and issue a warning.

[0006] Preferably, the data acquisition module includes several temperature sensors and several positioners; The temperature sensors are arranged inside the insulation layer, on the outer wall of the insulation layer, and in the area where the insulation layer contacts the outer wall of the pipe. They are used to collect temperature data inside the insulation layer in real time, which is recorded as internal temperature data; to collect temperature data of the environment outside the insulation layer, which is recorded as ambient temperature data; and to collect temperature data of the area where the insulation layer contacts the outer wall of the pipe, which is recorded as interface temperature data. The locator is installed on the side of the temperature sensor and corresponds one-to-one with the temperature sensor. It is used to locate the associated temperature sensor and generate location data.

[0007] Preferably, the data acquisition module includes a temperature acquisition unit, an association unit, a location acquisition unit, a location classification unit, a storage unit, and a transmission unit; The temperature acquisition unit is used to acquire temperature data collected by the temperature sensor in real time. The temperature data includes internal temperature data, ambient temperature data, and interface temperature data. The location acquisition unit is used to acquire location data from the locator in real time and generate location markers, wherein the location markers include regional location markers, hierarchical location markers, and individual location markers; The association unit is used to associate the temperature data with the corresponding location marker, wherein one temperature data is associated with one location marker; The location classification unit is used to organize the temperature data based on the location markers and package the organized data. The first storage unit is used to store the packaged data; The transmission unit is used to transmit the packaged data to the analysis and evaluation module.

[0008] Preferably, the analysis and evaluation module includes a receiving and parsing unit, a scene construction unit, an anomaly judgment unit, a location unit, an anomaly analysis unit, a second storage unit, and an evaluation output unit; The receiving and parsing unit is used to receive the packaged data and restore the packaged data to the temperature data and the location marker; The scene construction unit is used to construct a three-dimensional scene model based on the installation scene data of the pipeline, mark the position of the locator in the three-dimensional scene model, and fit historical temperature data at the marked position to construct a three-dimensional scene layout model. The anomaly detection unit is used to compare the temperature data with a preset threshold temperature and mark the temperature data exceeding the temperature threshold as abnormal data. The positioning unit is used to obtain the location marker corresponding to the abnormal data, determine the location of the abnormal data in the three-dimensional scene layout model, record it as the abnormal location, obtain the abnormal temperature data in the historical temperature data located at the abnormal location in the three-dimensional scene layout model, and count the number of abnormal temperature data. The anomaly analysis unit is used to statistically analyze the occurrence trend of the abnormal temperature data within a preset time period and generate evaluation data. The second storage unit is used to store the evaluation data generated by the anomaly analysis unit; The evaluation output unit is used to transmit the evaluation data to the early warning module.

[0009] Preferably, the analysis and evaluation module further includes a dynamic threshold calculation unit for compensating for temperature differences based on the time difference of the environment.

[0010] Preferably, the analysis and evaluation module further includes an abnormal data removal unit, which compares multiple consecutive temperature data before and after a given location marker and removes data where the abnormal temperature data appears only once.

[0011] Preferably, the early warning module includes an evaluation receiving unit, an evaluation analysis unit, a linkage alarm unit, an alarm recording unit, and a third storage unit; The evaluation receiving unit is used to receive the evaluation data. The evaluation and analysis unit is used to analyze the received evaluation data, determine the current status and warning level of the insulation layer, and generate warning data. The linkage alarm unit is used to simultaneously send warning data to the user terminal and the mobile user. The warning recording unit is used to record the time when the warning data is issued and the warning data itself, and to generate a warning report; The third storage unit is used to store the warning data and the warning report.

[0012] Preferably, the early warning unit further includes a three-dimensional thermal display unit, used to acquire the location markers corresponding to the abnormal temperature data and the temperature data of the surrounding area of ​​the abnormal temperature data, and generate a three-dimensional thermal map of the location markers.

[0013] Preferably, the remote collaboration module is used by the user to remotely analyze the evaluation data.

[0014] This invention proposes a method for real-time temperature monitoring of industrial insulation layers, which utilizes the aforementioned real-time temperature monitoring system for industrial insulation layers and includes the following steps: The temperature in the insulation layer of industrial pipelines is acquired in real time through the data acquisition module. The temperature data from the temperature sensor is collected in real time by the data acquisition module, and the location data of the temperature data is obtained. A location marker is generated and the location marker is associated with the corresponding temperature data. The analysis and evaluation module determines whether the temperature data is abnormal, and generates evaluation data based on the judgment result. The early warning module analyzes the assessment data, determines the early warning level, and issues a warning.

[0015] Compared with the prior art, the present invention has the following beneficial technical effects: This invention proposes a real-time temperature monitoring system for industrial insulation layers. The system continuously and uninterruptedly collects temperature data within the insulation layer through data acquisition modules deployed on the insulation layer structure. Simultaneously, the data acquisition module associates location markers with the temperature data. An analysis and evaluation module automatically identifies anomalies based on real-time temperature data and generates evaluation results, replacing the inefficiency and subjectivity of manual experience-based judgment and improving the accuracy and response speed of anomaly identification. An early warning module determines the warning level based on the evaluation data and issues alerts, enabling differentiated handling of anomalies of varying severity. Compared to traditional manual periodic inspections, this system significantly improves the timeliness and coverage of monitoring, avoiding missed detections of abnormal temperature changes due to inspection intervals. Location markers accurately pinpoint the specific location of abnormal temperatures, providing clear targets for maintenance, significantly shortening troubleshooting time, and reducing maintenance costs. The analysis and evaluation module improves the accuracy and response speed of anomaly identification, effectively preventing energy waste or safety accidents caused by insulation layer failure, ensuring the safety and stability of industrial production. Furthermore, the automated monitoring process reduces manpower input and improves overall management efficiency.

[0016] Furthermore, the data acquisition module in this system acquires real-time data of the insulation layer through temperature sensors, enabling real-time temperature data acquisition of the insulation layer on the pipeline. The temperature sensors are positioned inside the insulation layer, on its outer wall, and in the area where the insulation layer contacts the outer wall of the pipe, allowing for the acquisition of temperature data from multiple locations on the insulation layer. This avoids the limitations of monitoring only one location and provides a more comprehensive reflection of the thermal state of the insulation layer. By cooperating with the temperature sensors and the locator, the system can simultaneously collect temperature data in real time and determine the location of the collected data. This facilitates rapid location of abnormal temperature data in later stages, improving detection efficiency.

[0017] Furthermore, the temperature acquisition unit in the system's data acquisition module simultaneously acquires internal temperature data, ambient temperature data, and interface temperature data, covering key temperature measurement points of the insulation layer from the inside to the outside and from the contact interface to the environment. This ensures the comprehensiveness and integrity of the temperature data. The location acquisition unit generates multi-dimensional location markers (regional, layered, and individual) using a locator. This not only clarifies the approximate area to which the temperature data belongs but also refines it to the layered location and the individual sensor location, forming a precise positioning system from macro to micro, achieving accurate positioning. The association unit binds each temperature data point to its corresponding location marker, ensuring that abnormal temperatures can be quickly traced to the specific location, significantly shortening troubleshooting time and reducing costs. Maintenance costs; the location classification unit organizes and packages the associated data, classifies and stores it according to location dimension, optimizes the data structure, and improves the efficiency and readability of data processing; the first storage unit provides reliable storage for the packaged data, avoids data loss, and ensures the continuity of monitoring data; the transmission unit stably transmits the organized packaged data to the analysis and evaluation module, ensuring that subsequent modules can obtain complete and accurate monitoring data in a timely manner, providing high-quality data support for operations such as anomaly judgment and early warning level determination, and improving the overall monitoring accuracy, response speed and management efficiency of the system, effectively preventing anomaly omissions or misjudgments caused by data loss or ambiguous positioning, and ensuring the safety and energy efficiency of industrial pipeline insulation layers.

[0018] Furthermore, the analysis and evaluation module of this system ensures the integrity of temperature data and location markers by accurately restoring packaged data through the receiving and parsing unit. The scene construction unit generates a 3D scene model based on the actual installation scene and fits historical temperature data to form an intuitive 3D scene layout model, enhancing the visualization and spatial correlation of anomaly location. The anomaly judgment unit quickly marks abnormal data through threshold comparison to achieve real-time detection. The location unit accurately determines the anomaly location by combining location markers and the 3D model and by statistically analyzing the number of historical abnormal temperature data. The anomaly analysis unit analyzes the anomaly trend within a preset time. The second storage unit persistently saves the evaluation data, supporting long-term trend tracking and decision reference. Finally, the evaluation output unit seamlessly transmits the data to the early warning module, forming a complete closed loop from data acquisition, anomaly detection, location analysis to early warning triggering. Overall, this improves the accuracy of pipeline temperature monitoring, the timeliness of anomaly response, and the scientific nature of maintenance decisions, effectively reducing failure risks and improving detection efficiency. Attached Figure Description

[0019] Figure 1 This invention provides a system block diagram of a real-time temperature monitoring system for industrial insulation layers; Detailed Implementation In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0020] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0021] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0022] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0023] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0024] This invention proposes a real-time temperature monitoring system for industrial insulation layers, such as... Figure 1 As shown, the system includes a data acquisition module, a data collection module, an analysis and evaluation module, and an early warning module; The system comprises the following modules: a data acquisition module, deployed on the pipe insulation layer structure, for real-time temperature monitoring within the industrial pipe insulation layer; a data collection module, communicating with a temperature sensor, for real-time acquisition of temperature data from the sensor, obtaining location data of the temperature data, generating location markers, and associating the location markers with the corresponding temperature data; an analysis and evaluation module, communicating with the data collection module, for determining whether the temperature data is abnormal and generating evaluation data based on the judgment results; and an early warning module, communicating with the analysis and evaluation module, for analyzing the evaluation data, determining the early warning level, and issuing an alert. This system uses the data acquisition module to acquire real-time temperature and location data within the industrial pipe insulation layer, analyzes the temperature data to determine the current state of the insulation layer, and then judges whether the insulation layer is abnormal. Furthermore, the location markers accurately pinpoint the location of any abnormalities, providing maintenance personnel with a definite maintenance location, reducing their workload and improving maintenance efficiency.

[0025] Preferably, the data acquisition module includes several temperature sensors and several positioners; Several temperature sensors are respectively arranged inside the insulation layer, on the outer wall of the insulation layer, and at the location where the insulation layer contacts the outer wall of the pipe. These sensors are used to collect temperature data from the insulation layer in real time. For example, the temperature sensors include an interface sensor, an external sensor, and an internal sensor. Each of these sensors is a thermocouple or a resistance temperature detector (RTD). The internal sensor collects real-time temperature data inside the insulation layer, denoted as internal temperature data. The external sensor collects real-time temperature data of the environment surrounding the insulation layer, denoted as ambient temperature data. The interface sensor collects real-time temperature data at the location where the insulation layer contacts the outer wall of the pipe, denoted as interface temperature data. By using these multiple temperature sensors, real-time temperature data of the insulation layer on the pipeline can be obtained. This temperature data can then be processed to determine the current state of the insulation layer, enabling real-time monitoring of the insulation layer.

[0026] The locator is installed on the side of the temperature sensor, corresponding one-to-one with the temperature sensor. That is, one locator is installed on the side of each temperature sensor, and the position of the locator is marked on the pipeline construction drawings. The locator is used to locate its associated temperature sensor and generate position data. By working together with the temperature sensor, the locator can collect temperature data in real time and determine the collection location of the temperature data. This makes it easier to quickly locate abnormal temperature data when it is later determined, thus improving detection efficiency.

[0027] Preferably, the data acquisition module includes a temperature acquisition unit, an association unit, a location acquisition unit, a location classification unit, a storage unit, and a transmission unit; The temperature acquisition unit is connected in communication with the temperature sensor to acquire temperature data collected by the temperature sensor in real time. The temperature data includes internal temperature data, ambient temperature data and interface temperature data. The location acquisition unit, associated with the locator, is used to acquire location data from the locator in real time and generate location markers. These location markers include regional location markers, layered location markers, and individual location markers. Regional location markers are determined based on the division of the plant area and serve as initial location markers, displaying the large area range of the temperature data within the plant. Layered location markers are determined based on the layered location of pipelines within the large area and serve as intermediate location markers, displaying the layered area on the outer insulation layer corresponding to the temperature data within the large area—that is, the area outside, inside, or at the contact surface between the insulation layer and the pipeline. Individual location markers are the final location markers, belonging to the lowest level of location markers. Below the layered location markers, they display the specific location within the layer of the insulation layer. Through these three layers of location markers, the location of the temperature data within the insulation layer can be accurately determined, achieving precise positioning.

[0028] The association unit is connected to the location acquisition unit and the temperature acquisition unit respectively, and is used to associate temperature data with the corresponding location markers. One temperature data is associated with one location marker; that is, in the internal temperature data, ambient temperature data and interface temperature data, each temperature data corresponds to one location marker.

[0029] The location classification unit, which communicates with the association unit, is used to organize temperature data based on location markers and package the organized data. Specifically, it first extracts the regional location markers from the corresponding location markers on the internal temperature data, ambient temperature data, and interface temperature data, and groups data with the same regional location markers together. Then, it extracts data with the same layered location data from the same regional location markers and groups them together. Finally, it sorts the individual location markers in the same layered location markers in ascending order to complete the data organization. The data is then packaged and organized according to the classification to reduce the size of the data transmission.

[0030] The first storage unit, which is connected in communication with the location classification unit, is used to store packaged data to facilitate data verification and provide data for analysis by testing personnel. The transmission unit, which is communicatively connected to the location classification unit, is used to transmit packaged data to the analysis and evaluation module.

[0031] Preferably, the analysis and evaluation module includes a receiving and parsing unit, a scene construction unit, an anomaly judgment unit, a location unit, an anomaly analysis unit, a second storage unit, and an evaluation output unit; The receiving and parsing unit is communicatively connected to the transmission unit and is used to receive packaged data and restore the packaged data into temperature data and location markers. The scene construction unit is connected to the receiving and parsing unit. It is used to obtain the installation scene data of the pipeline and the position of the marked locator on the pipeline construction drawings. Based on the installation scene data of the pipeline, a three-dimensional scene model is constructed. The position of the locator is marked in the three-dimensional scene model. The historical temperature data of the temperature sensor corresponding to each locator is obtained. The historical temperature data is fitted at the marked position to construct a three-dimensional scene layout model. The anomaly detection unit is connected in communication with the receiving and parsing unit. It is used to compare the temperature data with the preset threshold temperature and mark the temperature data that exceeds the temperature threshold as abnormal data. The localization unit communicates with the anomaly judgment unit and the scene construction unit. It is used to obtain the location markers corresponding to the abnormal data and determine the location of the abnormal data in the 3D scene layout model, which is recorded as the abnormal location. The anomaly analysis unit, which communicates with the positioning unit and the anomaly judgment unit, is used to statistically analyze the trend and frequency of abnormal temperature data occurrences at anomaly locations within a preset time. Specifically, if the frequency of abnormal temperature occurrences within the preset time is 3-5 times, the anomaly location is marked as a localized damage to the insulation layer. If the number of abnormal temperature data occurrences within the preset time shows a gradually increasing trend compared to the historical anomaly occurrences at that location, the anomaly location is marked as aging of the insulation layer material. If the anomaly frequency significantly increases compared to the historical anomaly occurrences at that location, the waterproofing layer of the insulation layer at that location is marked as failing, and evaluation data is generated. The second storage unit is communicatively connected to the anomaly analysis unit, the location unit, and the anomaly judgment unit, and is used to store the evaluation data generated by the anomaly analysis unit, the anomaly location generated by the location unit, and the anomaly data generated by the anomaly judgment unit. The evaluation output unit is connected to the anomaly analysis unit to transmit evaluation data to the early warning module.

[0032] Furthermore, the analysis and evaluation module also includes a dynamic threshold calculation unit, which is connected in communication with the anomaly judgment unit and the positioning unit. It is used to compensate for temperature differences based on the time difference of the environment. That is, when the detected time period is in winter, a temperature error of 5°C is added on the basis of the preset threshold temperature.

[0033] Furthermore, the analysis and evaluation module also includes an abnormal data removal unit, which is connected in communication with the abnormal analysis unit. It is used to compare multiple consecutive temperature data before and after a location mark. If only one abnormal data appears in the multiple real-time temperature data collected at the location mark, the abnormal temperature data is removed.

[0034] Preferably, the early warning module includes an evaluation receiving unit, an evaluation analysis unit, a linkage alarm unit, an alarm recording unit, and a third storage unit; The evaluation receiving unit is communicatively connected to the evaluation output unit and is used to receive evaluation data; The assessment and analysis unit communicates with the assessment receiving unit to analyze the received assessment data, determine the current status and warning level of the insulation layer, and generate warning data. Specifically, the preset warning level is Level 1 for waterproof layer failure, Level 2 for insulation layer material aging, and Level 3 for partial damage to the insulation layer. The unit extracts the corresponding data from the assessment data, classifies them into levels, and marks Level 1, Level 2, and Level 3 warnings with orange, yellow, and purple respectively. Warning data is generated in the order of Level 3 warning (the highest level) being the highest priority, followed by Level 2 warnings, and Level 1 warnings (the lowest level). The linkage alarm unit is connected to the evaluation and analysis unit and is used to simultaneously send warning data to user terminals and mobile users, so that user terminals and mobile users can receive warning data at the same time and perform warning processing.

[0035] The warning recording unit is connected to the linkage alarm unit to record the time when the warning data is issued and the warning data, and to generate a warning report; The third storage unit is connected in communication with the linkage alarm unit and the warning record unit, and is used to store warning data and warning reports.

[0036] Preferably, the early warning unit further includes a three-dimensional thermal display unit, which is communicatively connected to the linkage alarm unit and the third storage unit, and is used to obtain the location markers corresponding to the abnormal temperature data and the temperature data of the surrounding area of ​​the abnormal temperature data, and generate a three-dimensional thermal map of the location markers.

[0037] Preferably, the remote collaboration module is communicatively connected to the anomaly analysis unit, enabling users to remotely analyze the evaluation data.

[0038] This invention also proposes a method for real-time temperature monitoring of industrial insulation layers, which utilizes the aforementioned real-time temperature monitoring system for industrial insulation layers and specifically includes the following steps: The temperature in the insulation layer of industrial pipelines is acquired in real time through the data acquisition module. The data acquisition module collects temperature data from the temperature sensor in real time, obtains the location data of the temperature data, generates location markers, and associates the location markers with the corresponding temperature data. The analysis and evaluation module determines whether the temperature data is abnormal, and generates evaluation data based on the judgment results. The early warning module analyzes and evaluates the data to determine the early warning level and issues a warning.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0040] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A real-time temperature monitoring system for industrial insulation layers, characterized in that, The system includes: The data acquisition module is installed on the pipe insulation layer structure and is used to acquire the temperature in the industrial pipe insulation layer in real time. The data acquisition module is communicatively connected to the temperature sensor and is used to acquire temperature data from the temperature sensor in real time, obtain the location data of the temperature data, generate a location marker, and associate the location marker with the corresponding temperature data. An analysis and evaluation module, which is communicatively connected to the data acquisition module, is used to determine whether the temperature data is abnormal and generate evaluation data based on the determination result. The early warning module is communicatively connected to the analysis and evaluation module, and is used to analyze the evaluation data, determine the early warning level, and issue a warning.

2. The real-time temperature monitoring system for industrial insulation layers according to claim 1, characterized in that, The data acquisition module includes several temperature sensors and several positioners; The temperature sensors are arranged inside the insulation layer, on the outer wall of the insulation layer, and in the area where the insulation layer contacts the outer wall of the pipe. They are used to collect temperature data inside the insulation layer in real time, which is recorded as internal temperature data; to collect temperature data of the environment outside the insulation layer, which is recorded as ambient temperature data; and to collect temperature data of the area where the insulation layer contacts the outer wall of the pipe, which is recorded as interface temperature data. The locator is installed on the side of the temperature sensor and corresponds one-to-one with the temperature sensor. It is used to locate the associated temperature sensor and generate location data.

3. The real-time temperature monitoring system for industrial insulation layers according to claim 2, characterized in that, The data acquisition module includes a temperature acquisition unit, an association unit, a location acquisition unit, a location classification unit, a storage unit, and a transmission unit; The temperature acquisition unit is used to acquire temperature data collected by the temperature sensor in real time. The temperature data includes internal temperature data, ambient temperature data, and interface temperature data. The location acquisition unit is used to acquire location data from the locator in real time and generate location markers, wherein the location markers include regional location markers, hierarchical location markers, and individual location markers; The association unit is used to associate the temperature data with the corresponding location marker, wherein one temperature data is associated with one location marker; The location classification unit is used to organize the temperature data based on the location markers and package the organized data. The first storage unit is used to store the packaged data; The transmission unit is used to transmit the packaged data to the analysis and evaluation module.

4. The real-time temperature monitoring system for industrial insulation layers according to claim 3, characterized in that, The analysis and evaluation module includes a receiving and parsing unit, a scene construction unit, an anomaly judgment unit, a location unit, an anomaly analysis unit, a second storage unit, and an evaluation output unit; The receiving and parsing unit is used to receive the packaged data and restore the packaged data to the temperature data and the location marker; The scene construction unit is used to construct a three-dimensional scene model based on the installation scene data of the pipeline, mark the position of the locator in the three-dimensional scene model, and fit historical temperature data at the marked position to construct a three-dimensional scene layout model. The anomaly detection unit is used to compare the temperature data with a preset threshold temperature and mark the temperature data exceeding the temperature threshold as abnormal data. The positioning unit is used to obtain the location marker corresponding to the abnormal data and determine the location of the abnormal data in the three-dimensional scene layout model, which is recorded as the abnormal location. The anomaly analysis unit is used to statistically analyze the occurrence trend and frequency of the abnormal temperature data within a preset time period and generate evaluation data. The second storage unit is used to store the evaluation data generated by the anomaly analysis unit; The evaluation output unit is used to transmit the evaluation data to the early warning module.

5. The real-time temperature monitoring system for industrial insulation layers according to claim 4, characterized in that, The analysis and evaluation module also includes a dynamic threshold calculation unit, which is used to compensate for temperature differences based on the time difference of the environment.

6. The real-time temperature monitoring system for industrial insulation layers according to claim 4, characterized in that, The analysis and evaluation module also includes an abnormal data removal unit, which compares multiple consecutive temperature data before and after a given location marker and removes abnormal temperature data that appears only once.

7. The real-time temperature monitoring system for industrial insulation layers according to claim 4, characterized in that, The early warning module includes an evaluation receiving unit, an evaluation analysis unit, a linkage alarm unit, an alarm recording unit, and a third storage unit; The evaluation receiving unit is used to receive the evaluation data; The evaluation and analysis unit is used to analyze the received evaluation data, determine the current status and warning level of the insulation layer, and generate warning data. The linkage alarm unit is used to simultaneously send warning data to the user terminal and the mobile user. The warning recording unit is used to record the time when the warning data is issued and the warning data itself, and to generate a warning report; The third storage unit is used to store the warning data and the warning report.

8. The real-time temperature monitoring system for industrial insulation layers according to claim 7, characterized in that, The early warning unit also includes a three-dimensional thermal display unit, which is used to acquire the location markers corresponding to the abnormal temperature data and the temperature data of the surrounding area of ​​the abnormal temperature data, and generate a three-dimensional thermal map of the location markers.

9. The real-time temperature monitoring system for industrial insulation layers according to claim 1, characterized in that, The remote collaboration module is used by users to remotely analyze the evaluation data.

10. A method for real-time temperature monitoring of industrial insulation layers, using the real-time temperature monitoring system for industrial insulation layers as described in any one of claims 1 to 9, characterized in that, Includes the following steps: The temperature in the insulation layer of industrial pipelines is acquired in real time through the data acquisition module. The temperature data from the temperature sensor is collected in real time by the data acquisition module, and the location data of the temperature data is obtained. A location marker is generated and the location marker is associated with the corresponding temperature data. The analysis and evaluation module determines whether the temperature data is abnormal, and generates evaluation data based on the judgment result. The early warning module analyzes the assessment data, determines the early warning level, and issues a warning.

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