Fused salt heat storage tank leakage detection device

Abstract

The invention relates to the technical field of energy storage, and discloses a fused salt heat storage tank leakage detection device which comprises a multi-mode sensing module used for monitoring temperature, conductivity and heat radiation changes caused by internal and external leakage of a heat storage tank in real time; the intelligent data processing module is used for receiving the multi-modal sensing data, performing fusion analysis and identifying leakage positions and severity; the leakage self-healing module is used for automatically blocking a leakage point and isolating a leakage area; the alarm module is used for providing sound-light alarm and information display of leakage; the data transmission and remote monitoring module is used for transmitting the detection data and the alarm information to a remote monitoring platform for real-time monitoring and maintenance; and the power supply and heat dissipation module is used for providing power support for the device and maintaining a stable operation environment. According to the invention, the device employs a multi-mode fusion scheme of optical fiber temperature sensing, conductivity sensing and infrared imaging technologies, and greatly improves the precision and coverage range of leakage detection.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage identification, and in particular to a leakage detection device for a molten salt heat storage tank. Background Art

[0002] Molten salt heat storage tanks are important equipment in the field of energy storage and are widely used in solar thermal power generation, industrial waste heat recovery, and chemical heat storage. As a heat storage medium, molten salt has high heat storage density, good thermal stability, and low cost. However, the operating temperature of molten salt is usually between 300°C and 600°C, and its high temperature and high corrosiveness put forward strict requirements on the structural integrity and operational safety of the heat storage tank.

[0003] Existing leak detection technologies are mostly based on single sensors, such as temperature sensors or pressure sensors. These technologies are insufficient in detection sensitivity and coverage, and are prone to missed or false alarms. In addition, a single sensor is difficult to quickly locate the leak point, delaying the processing time. Summary of the invention

[0004] In order to make up for the above shortcomings, the present invention provides a molten salt heat storage tank leakage detection device, which aims to improve the existing leakage detection technology that is mainly based on a single sensor and has insufficient detection sensitivity and coverage.

[0005] In a first aspect, the present invention provides the following technical solution: a molten salt heat storage tank leakage detection device, comprising: Multimodal sensing module, used to monitor the temperature, conductivity and thermal radiation changes caused by leakage inside and outside the heat storage tank in real time; Intelligent data processing module, used to receive multi-modal sensor data, integrate and analyze, and identify the location and severity of leaks; Leakage self-healing module, used to automatically seal the leakage point and isolate the leakage area; Alarm module, used to provide sound and light alarm and information display of leakage; Data transmission and remote monitoring module, used to transmit detection data and alarm information to the remote monitoring platform for real-time monitoring and maintenance; The power supply and cooling module is used to provide power support for the device and maintain a stable operating environment.

[0006] Preferably, the multimodal sensing module comprises: Optical fiber sensing unit: arranged along the wall and bottom of the heat storage tank, used to detect temperature anomalies caused by leakage in real time, and uses distributed optical fiber temperature sensing technology DTS to locate the leakage point at centimeter level; Conductivity sensor unit: installed at the bottom of the tank to monitor the conductivity change of the leaking molten salt as an auxiliary data source for leak detection; Infrared imaging unit: installed on the outside of the storage tank, used to capture thermal radiation anomalies of leaking molten salt and provide visual positioning information.

[0007] Preferably, the intelligent data processing module includes: Data fusion unit: receives optical fiber temperature, conductivity and infrared imaging data, and uses edge computing technology to perform multi-modal data fusion in real time; Fault detection unit: Analyzes leakage characteristics based on a self-learning algorithm and dynamically adjusts the detection threshold to reduce false alarm and missed alarm rates; Alarm signal generation unit: converts the analysis results into leakage alarm signals and determines the severity of the leakage.

[0008] Preferably, the leakage self-healing module comprises: Shape memory alloy unit: coated on key areas of the tank, activates expansion function when in contact with high-temperature molten salt, and automatically seals the leak point; Isolation valve unit: triggers action based on leakage signal to isolate the leakage area from the normal area to prevent the spread of molten salt.

[0009] Preferably, the alarm module comprises: Sound and light alarm unit: used to send out leakage alarm signals, which are divided into three levels: minor leakage, serious leakage and emergency leakage; Information display unit: A display screen is set on the device body to display the leakage location, severity and other operating parameters in real time; Remote notification unit: sends alarm information to the remote monitoring platform through data transmission and remote monitoring module.

[0010] Preferably, the data transmission and remote monitoring module includes: Data transmission unit: supports NB-IoT, LoRa or industrial bus protocols, used to transmit sensor data and alarm information in real time; Monitoring platform unit: Receives and stores test data through the cloud platform, supports real-time monitoring and historical data query; Incident report generation unit: Automatically generate leakage incident reports including location, time and cause analysis.

[0011] Preferably, the power supply and heat dissipation module includes: Power supply unit: adopts long-life lithium battery or solar power supply system to support long-term operation in unattended environment; Active heat dissipation unit: It consists of a high-temperature resistant shell and a heat dissipation fan, used to reduce the internal temperature of the device and protect the normal operation of electronic components; Emergency power off unit: automatically cuts off power supply in case of over-temperature or major leakage.

[0012] Preferably, the multimodal sensing module further includes an ambient temperature compensation unit for performing real-time correction on signal changes caused by external ambient temperature fluctuations.

[0013] Preferably, the intelligent data processing module also includes a historical data prediction unit for analyzing the leakage trend of the storage tank based on long-term operation data and generating early warning signals in advance to guide preventive maintenance.

[0014] In a second aspect, the present invention provides the following technical solution, a method for operating a molten salt heat storage tank leakage detection device, comprising the following steps: S1. Multimodal data acquisition: Through the multimodal sensing module, including the optical fiber sensing unit, the conductivity sensing unit and the infrared imaging unit, the temperature change, conductivity change and thermal radiation anomaly inside and outside the heat storage tank are collected in real time to obtain the original data related to the leakage; S2. Data fusion and fault identification: Use the intelligent data processing module to perform fusion analysis on the multimodal data collected in step S1, identify leakage signals based on the self-learning fault detection algorithm, and determine the leakage location and severity; S3. Leakage point repair: After the leak is detected, the leakage self-healing module is activated to automatically block the leak point through the shape memory alloy, and the isolation valve unit is triggered to isolate the leaking area from the normal area; S4. Alarm prompt: The alarm module sends out an audible and visual alarm signal according to the severity of the leak, and displays the leak location, time and status on the information display interface; S5. Data upload and monitoring: The leakage data, alarm information and analysis results are transmitted to the remote monitoring platform through the data transmission and remote monitoring module, supporting real-time monitoring and event report generation; S6. Operation environment protection: The power supply and heat dissipation module provides power support, and the normal operating temperature of the device is maintained through the active heat dissipation unit, triggering emergency power-off protection under abnormal circumstances.

[0015] The present invention has the following beneficial effects: 1. In the present invention, the device adopts a multi-modal fusion solution of optical fiber temperature sensing, conductivity sensing and infrared imaging technology to greatly improve the accuracy and coverage of leak detection. Distributed optical fiber sensing technology can achieve centimeter-level positioning, combined with multi-modal data fusion algorithm, to ensure fast and accurate detection of small leaks, while effectively reducing false alarms and missed alarms.

[0016] 2. In the present invention, through self-learning fault detection algorithm and edge computing technology, the device can process multimodal data in real time and dynamically optimize the detection threshold. Intelligent analysis reduces the impact of environmental interference on the detection results, adapts to complex working conditions, and can predict potential leakage risks, providing a reliable basis for preventive maintenance.

[0017] 3. In the present invention, shape memory alloy materials are introduced to automatically expand and seal cracks when high-temperature molten salt leaks, and the isolation valve system responds quickly to prevent further spread of the leak. This design significantly reduces the risk of molten salt loss and equipment damage, and enhances the operational safety of the heat storage tank.

[0018] 4. The device of the present invention has millisecond-level response capability, and can quickly identify and activate the alarm module after a leak occurs. The multi-level alarm system combines sound and light prompts and an information display interface to intuitively display leak information and remotely notify maintenance personnel to ensure timely response measures to reduce the impact of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the structural framework of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 2 This is a diagram of the intelligent data processing module architecture of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 3 This is a diagram of the leakage self-healing module architecture of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 4 This is a diagram of the alarm module architecture of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 5 This is a data transmission and remote monitoring module architecture diagram of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 6 This is a diagram of the power supply and heat dissipation module architecture of the molten salt heat storage tank leakage detection device proposed by the present invention; Figure 7 This is a flow chart of the operating method of the molten salt heat storage tank leakage detection device proposed in the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1-Figure 6 , an embodiment of the present invention provides a molten salt heat storage tank leakage detection device, comprising: Multimodal sensing module 1, used to monitor the temperature, conductivity and thermal radiation changes caused by leakage inside and outside the heat storage tank in real time; Intelligent data processing module 2, used to receive multi-modal sensor data, integrate and analyze, and identify the leakage location and severity; Leakage self-healing module 3, used to automatically block the leakage point and isolate the leakage area; Alarm module 4, used to provide sound and light alarm and information display of leakage; Data transmission and remote monitoring module 5, used to transmit detection data and alarm information to the remote monitoring platform for real-time monitoring and maintenance; The power supply and heat dissipation module 6 is used to provide power support for the device and maintain a stable operating environment.

[0022] Specifically, this device has built a multimodal detection system by integrating fiber optic temperature sensing, conductivity sensing and infrared imaging technology, which can monitor the temperature, conductivity and thermal radiation anomalies caused by molten salt leakage in real time and achieve centimeter-level positioning accuracy. With the help of edge computing technology and self-learning fault detection algorithms, the device performs intelligent fusion analysis of multimodal data and dynamically adjusts the detection threshold, significantly improving the reliability and adaptability of detection and reducing false alarms and missed alarms. When a leak occurs, the device can identify the anomaly within milliseconds and trigger a multi-level alarm system, which can respond quickly through sound and light prompts, real-time display of leakage information, and remote notification functions, thereby effectively reducing the risk of accident spread and ensuring the safety and stability of the operation of the heat storage tank.

[0023] The multimodal sensing module 1 comprises: Optical fiber sensing unit 11: arranged along the wall and bottom of the heat storage tank, used to detect temperature anomalies caused by leakage in real time, and uses distributed optical fiber temperature sensing technology DTS to locate the leakage point at centimeter level; Conductivity sensor unit 12: It is set at the bottom of the storage tank to monitor the conductivity change of the leaking molten salt and serve as an auxiliary data source for leakage detection; Infrared imaging unit 13: installed outside the storage tank, used to capture thermal radiation anomalies of leaking molten salt and provide visual positioning information.

[0024] Specifically, the multimodal sensing module 1 combines three detection technologies: optical fiber sensing, conductivity sensing, and infrared imaging, to achieve real-time monitoring of molten salt leakage and multi-dimensional data collection: The optical fiber sensing unit 11 adopts distributed optical fiber temperature sensing technology DTS, which works based on the Raman scattering effect. It generates the location data of the leakage point by detecting the difference in scattered light intensity caused by temperature changes. When laying optical fibers, priority is given to covering the high-risk areas on the tank wall and bottom, with an interval of no more than 5 cm, to improve the positioning accuracy.

[0025] The conductivity sensor unit 12 is encapsulated with high temperature corrosion resistant materials and embedded in the monitoring area at the bottom of the tank. The change in conductivity of the leaking molten salt triggers the resistance response of the sensor and generates a leakage alarm signal. The sensor can detect a change in molten salt concentration of 0.1%.

[0026] The infrared imaging unit 13 captures the thermal radiation anomaly outside the tank through an infrared camera, which is particularly suitable for detecting small cracks or weld leaks on the surface of the tank. The device supports temperature calibration function to adapt to the temperature fluctuation of molten salt operation.

[0027] Improve detection accuracy: Multimodal sensing technology realizes the fusion of temperature, conductivity and infrared images, improving the response capability to tiny leaks.

[0028] Comprehensive coverage: The layout of optical fiber and infrared equipment solves the problem of blind spots in single sensor monitoring.

[0029] Fast response: The module can generate multi-dimensional data within 10 milliseconds after a leak occurs, quickly triggering subsequent processing modules.

[0030] The intelligent data processing module 2 includes: Data fusion unit: receives optical fiber temperature, conductivity and infrared imaging data, and uses edge computing technology to perform multi-modal data fusion in real time; Fault detection unit: Analyzes leakage characteristics based on a self-learning algorithm and dynamically adjusts the detection threshold to reduce false alarm and missed alarm rates; Alarm signal generation unit: converts the analysis results into leakage alarm signals and determines the severity of the leakage.

[0031] Specifically, the intelligent data processing module processes the output data of the multimodal sensor module in real time based on edge computing and self-learning algorithms: The data fusion unit uses a fusion algorithm based on weighted average and time series analysis to integrate fiber temperature, conductivity changes and infrared image data to eliminate environmental interference signals. The algorithm has an adaptive function and can dynamically adjust the weight parameters according to different working conditions.

[0032] The fault detection unit uses deep learning models (such as LSTM networks) to analyze historical leakage data and extract leakage feature patterns. The training data comes from simulated leakage experiments in different scenarios, covering a variety of molten salt temperatures and leakage rates.

[0033] The alarm signal generation unit compares the processed data with the preset threshold and generates three levels of alarm signals. Each level of alarm includes the specific coordinates of the leakage area, the severity and the recommended treatment plan.

[0034] Reduce false alarm rate: Avoid false alarms caused by ambient temperature fluctuations or other interference by fusing multiple signals and learning feature patterns.

[0035] Improve computing efficiency: Edge computing technology shortens data processing time and ensures real-time requirements.

[0036] Self-learning capability: The algorithm can dynamically optimize model parameters based on the tank operation history and continuously improve detection accuracy.

[0037] Leakage self-healing module 3 includes: Shape memory alloy unit: coated on key areas of the tank, activates expansion function when in contact with high-temperature molten salt, and automatically seals the leak point; Isolation valve unit: triggers action based on leakage signal to isolate the leakage area from the normal area to prevent the spread of molten salt.

[0038] Specifically, the leakage self-healing module achieves rapid repair and isolation of leakage points through the combination of intelligent materials and mechanical control: The shape memory alloy unit uses an expansion material based on nickel-titanium alloy and is coated on high-risk areas such as tank welds and pipeline connections. When a leak occurs, the high temperature of the molten salt activates the material's deformation mechanism, fills the leak crack and solidifies to form a seal.

[0039] The isolation valve unit is linked with the sensor module, triggering the solenoid valve action through the signal to quickly close the valve in the leakage area. The valve structure adopts high-temperature resistant ceramic seal to ensure long-term stable operation.

[0040] Rapid sealing: The shape memory alloy completes expansion within 1 second after the molten salt leaks, preventing a large amount of molten salt from being lost.

[0041] Efficient isolation: The valve action time is less than 200 milliseconds, which can effectively prevent the leak from spreading to other areas of the tank.

[0042] Reduced maintenance costs: Self-healing materials provide long-lasting performance, reducing the frequency of tank maintenance.

[0043] The alarm module 4 comprises: Sound and light alarm unit: used to send out leakage alarm signals, which are divided into three levels: minor leakage, serious leakage and emergency leakage; Information display unit: A display screen is set on the device body to display the leakage location, severity and other operating parameters in real time; Remote notification unit: sends alarm information to the remote monitoring platform through data transmission and remote monitoring module.

[0044] Specifically, the alarm module is designed as a multi-level alarm and information interaction system: The sound and light alarm unit uses high-intensity LED lights and multi-frequency alarms, corresponding to minor leaks (single flash / buzzer), serious leaks (continuous flash / fast buzzer) and emergency leaks (flashing red light / high-frequency buzzer).

[0045] The information display unit displays the real-time location of the leak point, temperature change curve and leak rate through the LCD screen. The interface supports touch operation, which is convenient for personnel to view and adjust parameters.

[0046] The remote notification unit sends leakage events to the cloud through data transmission and remote monitoring modules to notify maintenance personnel.

[0047] Improve response speed: After the alarm signal is triggered, it can immediately attract the attention of on-site personnel and reduce the risk of accident spread.

[0048] Intuitive information: The LCD screen displays the leakage status in real time to assist operation and maintenance decision-making.

[0049] Remote management: Alarm signals are transmitted via IoT technology, which is suitable for unattended scenarios.

[0050] The data transmission and remote monitoring module 5 includes: Data transmission unit: supports NB-IoT, LoRa or industrial bus protocols, used to transmit sensor data and alarm information in real time; Monitoring platform unit: Receives and stores test data through the cloud platform, supports real-time monitoring and historical data query; Incident report generation unit: Automatically generate leakage incident reports including location, time and cause analysis.

[0051] Specifically, the data transmission and remote monitoring module uses a reliable data transmission protocol and an intelligent monitoring platform: The data transmission unit supports NB-IoT and LoRa protocols, has the characteristics of low power consumption and wide coverage, and is suitable for long-distance deployment of heat storage tanks. AES encryption is used during the transmission process to ensure data security.

[0052] The monitoring platform unit provides a real-time monitoring interface in the form of cloud services, and users can view leakage information through web pages or mobile terminals. The platform has big data analysis capabilities and can predict potential risks.

[0053] The event report generation unit combines historical data and real-time monitoring results to automatically generate a leakage event report, including the time of occurrence, leakage location, and treatment suggestions.

[0054] High data reliability: Multiple transmission protocols and encryption technologies ensure data transmission security.

[0055] Support remote operation and maintenance: Maintenance personnel can receive information through mobile terminals at any time to improve management efficiency.

[0056] Strong predictive capabilities: The monitoring platform provides early warning functions based on big data analysis to reduce the incidence of sudden accidents.

[0057] The power supply and heat dissipation module 6 includes: Power supply unit: adopts long-life lithium battery or solar power supply system to support long-term operation in unattended environment; Active heat dissipation unit: It consists of a high-temperature resistant shell and a heat dissipation fan, used to reduce the internal temperature of the device and protect the normal operation of electronic components; Emergency power off unit: automatically cuts off power supply in case of over-temperature or major leakage.

[0058] Specifically, the power supply and heat dissipation module adopts long-term power supply and efficient heat dissipation design: The power supply unit uses solar panels as the main power source, combined with a lithium battery energy storage system to achieve 24-hour uninterrupted power supply.

[0059] The active cooling unit removes heat from the electronic components through a high-efficiency fan and aluminum heat sink. The device housing is ceramic coated to reflect some of the thermal radiation.

[0060] The emergency power-off unit has a built-in temperature sensing chip, which automatically cuts off the power to protect against damage when the internal temperature of the equipment exceeds 80°C.

[0061] Strong adaptability: The module design is suitable for harsh environments with high temperature and unattended operation.

[0062] Long-term operation: The combination of solar energy and energy storage systems extends the service life of the device.

[0063] High safety: The emergency power-off function effectively protects the device from damage by high temperature.

[0064] The multimodal sensing module also includes an ambient temperature compensation unit for real-time correction of signal changes caused by external ambient temperature fluctuations.

[0065] Specifically, the ambient temperature compensation unit is part of the multimodal sensing module, and is mainly used to correct the interference of external ambient temperature changes on the leakage detection data: Sensor layout: Multiple ambient temperature sensors are evenly arranged around the outside of the heat storage tank to collect ambient temperature data in real time.

[0066] Signal correction mechanism: Combining the fiber temperature, conductivity and infrared imaging data of the multimodal sensing module, a temperature gradient analysis algorithm is used to dynamically correct the signal deviation caused by external temperature fluctuations.

[0067] Dynamic model: Establish a response relationship model between ambient temperature changes and sensor data, and ensure detection accuracy in complex environments through historical data calibration and real-time parameter updates.

[0068] Improve detection accuracy: The ambient temperature compensation unit effectively eliminates the interference of external factors such as day and night temperature difference and seasonal climate change on leak detection.

[0069] Adapt to complex working conditions: Especially suitable for outdoor heat storage tank scenarios with large temperature differences, ensuring the accuracy of multi-modal sensing modules in extreme environments.

[0070] Enhanced robustness: Through real-time correction, the device maintains stable performance in long-term operation and reduces the false alarm rate.

[0071] The intelligent data processing module also includes a historical data prediction unit, which is used to analyze the leakage trend of the storage tank based on long-term operation data and generate early warning signals in advance to guide preventive maintenance.

[0072] Specifically, the historical data prediction unit is an extended function of the intelligent data processing module, which is used to analyze leakage trends based on long-term monitoring data and generate early warning signals in advance: Data collection and storage: The system uploads the operating data collected by the multimodal sensor module to the cloud monitoring platform to form a historical database. The data includes multi-dimensional information such as fiber temperature, conductivity and infrared imaging.

[0073] Trend analysis model: Use machine learning algorithms (such as time series models or LSTM networks) to analyze the changing trend of tank leakage risks and predict possible leakage points and time ranges.

[0074] Early warning signal generation: Based on the analysis results, early warning signals are generated for potential leakage areas and pushed to the terminals of operation and maintenance personnel to guide preventive maintenance.

[0075] Discover risks in advance: By predicting leakage trends, the device can provide early warning before leakage occurs to avoid sudden accidents.

[0076] Extend equipment life: guide operation and maintenance personnel to carry out preventive maintenance at key locations, reduce equipment loss, and extend the service life of heat storage tanks.

[0077] Data-driven decision-making: Based on long-term accumulated operating data, the system can optimize the operating efficiency of the heat storage tank and reduce operation and maintenance costs.

[0078] Reference Figure 7 , an operating method of a molten salt heat storage tank leakage detection device comprises the following steps: S1. Multimodal data acquisition: Through the multimodal sensing module 1, including the optical fiber sensing unit 11, the conductivity sensing unit 12 and the infrared imaging unit 13, the temperature change, conductivity change and thermal radiation anomaly inside and outside the heat storage tank are collected in real time to obtain the original data related to the leakage; S2. Data fusion and fault identification: Use the intelligent data processing module 2 to perform fusion analysis on the multimodal data collected in step S1, identify the leakage signal based on the self-learning fault detection algorithm, and determine the leakage location and severity; S3. Leakage point repair: After the leakage is detected, the leakage self-healing module 3 is started to automatically block the leakage point through the shape memory alloy, and the isolation valve unit is triggered to isolate the leakage area from the normal area; S4 alarm prompt: The alarm module 4 emits an audible and visual alarm signal according to the severity of the leak, and displays the leak location, time and status on the information display interface; S5. Data upload and monitoring: The leakage data, alarm information and analysis results are transmitted to the remote monitoring platform through the data transmission and remote monitoring module 5, supporting real-time monitoring and event report generation; S6. Operation environment protection: The power supply and heat dissipation module 6 provides power support, and the normal operating temperature of the device is maintained through the active heat dissipation unit, triggering emergency power-off protection under abnormal circumstances.

[0079] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0080] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A molten salt heat storage tank leakage detection device, characterized in that: include: A multi-modal sensing module (1) for real-time monitoring of changes in temperature, electrical conductivity and thermal radiation caused by leakage inside and outside the heat storage tank; An intelligent data processing module (2) is used to receive multi-modal sensor data, fuse and analyze, and identify the leakage location and severity; A leakage self-healing module (3) is used to automatically seal the leakage point and isolate the leakage area; An alarm module (4) is used to provide an audible and visual alarm and information display for leakage; A data transmission and remote monitoring module (5), used to transmit detection data and alarm information to a remote monitoring platform for real-time monitoring and maintenance; The power supply and heat dissipation module (6) is used to provide power support for the device and maintain a stable operating environment.

2. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The multimodal sensing module (1) comprises: Optical fiber sensing unit (11): arranged along the wall and bottom of the heat storage tank, used to detect temperature anomalies caused by leakage in real time, and uses distributed optical fiber temperature sensing technology DTS to locate the leakage point at the centimeter level; Conductivity sensor unit (12): installed at the bottom of the storage tank to monitor the conductivity change of the leaking molten salt and serve as an auxiliary data source for leak detection; Infrared imaging unit (13): installed outside the storage tank, used to capture thermal radiation anomalies of leaking molten salt and provide visual positioning information.

3. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The intelligent data processing module (2) comprises: Data fusion unit: receives optical fiber temperature, conductivity and infrared imaging data, and uses edge computing technology to perform multi-modal data fusion in real time; Fault detection unit: Analyzes leakage characteristics based on a self-learning algorithm and dynamically adjusts the detection threshold to reduce false alarm and missed alarm rates; Alarm signal generation unit: converts the analysis results into leakage alarm signals and determines the severity of the leakage.

4. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The leakage self-healing module (3) comprises: Shape memory alloy unit: coated on key areas of the tank, activates expansion function when in contact with high-temperature molten salt, and automatically seals the leak point; Isolation valve unit: triggers action based on leakage signal to isolate the leakage area from the normal area to prevent the spread of molten salt.

5. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The alarm module (4) comprises: Sound and light alarm unit: used to send out leakage alarm signals, which are divided into three levels: minor leakage, serious leakage and emergency leakage; Information display unit: A display screen is set on the device body to display the leakage location, severity and other operating parameters in real time; Remote notification unit: sends alarm information to the remote monitoring platform through data transmission and remote monitoring module.

6. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The data transmission and remote monitoring module (5) comprises: Data transmission unit: supports NB-IoT, LoRa or industrial bus protocols, used to transmit sensor data and alarm information in real time; Monitoring platform unit: Receives and stores test data through the cloud platform, supports real-time monitoring and historical data query; Incident report generation unit: Automatically generate leakage incident reports including location, time and cause analysis.

7. The molten salt heat storage tank leakage detection device according to claim 1, characterized in that: The power supply and heat dissipation module (6) comprises: Power supply unit: adopts long-life lithium battery or solar power supply system to support long-term operation in unattended environment; Active heat dissipation unit: It consists of a high-temperature resistant shell and a heat dissipation fan, used to reduce the internal temperature of the device and protect the normal operation of electronic components; Emergency power off unit: automatically cuts off power supply in case of over-temperature or major leakage.

8. The molten salt heat storage tank leakage detection device according to claim 2, characterized in that: The multi-modal sensing module also includes an ambient temperature compensation unit for real-time correction of signal changes caused by external ambient temperature fluctuations.

9. The molten salt heat storage tank leakage detection device according to claim 3, characterized in that: The intelligent data processing module also includes a historical data prediction unit for analyzing the leakage trend of the storage tank based on long-term operation data and generating early warning signals in advance to guide preventive maintenance.

10. An operating method of a molten salt heat storage tank leakage detection device, characterized in that: The molten salt heat storage tank leakage detection device used in any one of claims 1 to 9 comprises the following steps: S1. Multimodal data acquisition: through a multimodal sensing module (1), including an optical fiber sensing unit (11), an electrical conductivity sensing unit (12) and an infrared imaging unit (13), the temperature change, electrical conductivity change and thermal radiation anomaly inside and outside the heat storage tank are collected in real time to obtain raw data related to the leakage; S2. Data fusion and fault identification: Use the intelligent data processing module (2) to perform fusion analysis on the multimodal data collected in step S1, identify the leakage signal based on the self-learning fault detection algorithm, and determine the leakage location and severity; S3. Leakage point repair: After the leakage is detected, the leakage self-healing module (3) is started to automatically block the leakage point through the shape memory alloy, and the isolation valve unit is triggered to isolate the leakage area from the normal area; S4. Alarm prompt: The alarm module (4) emits an audible and visual alarm signal according to the severity of the leak, and displays the leak location, time and status on the information display interface; S5. Data upload and monitoring: The leakage data, alarm information and analysis results are transmitted to the remote monitoring platform through the data transmission and remote monitoring module (5), supporting real-time monitoring and event report generation; S6. Operation environment protection: The power supply and heat dissipation module (6) provides power support, and the normal operating temperature of the device is maintained through the active heat dissipation unit, triggering emergency power-off protection under abnormal circumstances.

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