Outdoor high-voltage fuse buckle type intelligent monitoring device

Abstract

The invention discloses an outdoor high-voltage fuse buckle type intelligent monitoring device, which comprises a data acquisition module, a data communication module, an operation data analysis module and a data feedback module, and relates to the technical field of intelligent monitoring. According to the outdoor high-voltage fuse buckle-type intelligent monitoring device, an operation data analysis module is arranged to extract battery parameters used by the intelligent monitoring device and real-time temperature parameters in a space where a battery is located to establish a battery capacity evaluation model; according to the method, historical data and real-time temperature data are combined to determine the storage capacity of a current battery at corresponding time after the battery is installed, and then an early warning instruction is generated and transmitted, so that the battery operation condition of the intelligent monitoring device is dynamically monitored, and parameter changes of the battery under the influence of external factors are evaluated; and a dynamic safety threshold is formed in combination with instruction feedback and processing time, so that operation and maintenance personnel can replace a battery in time, and continuous and stable monitoring operation of the intelligent monitoring device is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology, specifically to an outdoor high-voltage fuse snap-on intelligent monitoring device. Background Technology

[0002] The online intelligent monitoring device for fuses adopts a modular design concept. With its high compatibility and convenience, it does not require large-scale transformation of the existing power system. It can be quickly upgraded to intelligent status by simply snapping it on the fuse carrier of the existing traditional fuse.

[0003] The reference patent title is: "An Integrated Intelligent PT Fuse Open Circuit Monitoring Device and Method" (Patent Publication No.: CN117706424A, Patent Publication Date: 2024-03-15). It can monitor the status of PT fuses in real time, analyzing whether the three-phase voltage difference exceeds the rated value through point-by-point sampling, thereby determining whether the A, B, and C phase PT fuses are open circuits. It consists of a controller and voltage sensors. The controller comprises a power supply module, a data processing module, a display module, and a communication module. The controller is responsible for data processing and control, while the voltage sensors are used to collect voltage signals. The voltage sensors are installed at the upper and lower terminals of the PT fuses, and the controller is installed in a location convenient for observation and operation.

[0004] Based on the description in the above document, existing outdoor high-voltage fuses use intelligent monitoring devices to monitor various parameter data in real time. However, power outages of the intelligent monitoring devices will affect their usage time. Currently, batteries are affected by external temperature and wear and tear, causing variations in the device's operating time. Furthermore, maintenance personnel may not receive timely instructions to replace the batteries. Therefore, this invention provides a snap-on intelligent monitoring device for outdoor high-voltage fuses. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an outdoor high-voltage fuse snap-on intelligent monitoring device. This solves the problem that when existing outdoor high-voltage fuses are in use, the intelligent monitoring device is used to monitor various parameters in real time. However, power outages of the intelligent monitoring device will affect its usage time. Furthermore, the battery's lifespan is affected by external temperature and its own wear and tear, causing variations in the device's operating time. Additionally, maintenance personnel may not receive timely instructions to replace the battery.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an outdoor high-voltage fuse snap-on intelligent monitoring device, comprising a fuse tube, with an upper fuse tube sleeve and a lower fuse tube sleeve respectively connected and fixed to both sides of the fuse tube for connection with an insulating terminal, and the surface of the fuse tube is secured to the intelligent monitoring device via a snap-on assembly, wherein the intelligent monitoring device is equipped with: The data acquisition module is equipped with multiple types of sensors to acquire fuse operating parameters and environmental data in real time; The data communication module, through the combination of wired and wireless transmission sub-modules, establishes a data link with the gateway and transmits the collected data in real time. The data analysis module is run to classify and number data from different devices, extract the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located to establish a battery capacity assessment model, combine historical data and real-time temperature data to determine the stored power of the battery at the corresponding time after installation, and then generate and transmit early warning commands. The data feedback module integrates LED indicators and a buzzer. It triggers different levels of alarms based on the analysis results and pushes real-time warning information through the APP to guide maintenance personnel to replace the battery.

[0007] Preferably, the buckle assembly includes a clamp rotatably mounted on the side of the intelligent monitoring device. When the clamp rotates to the point where its end face contacts the side of the intelligent monitoring device, an inner wrapping space is formed that fits and contacts the surface of the molten tube. The clamp is fixed to the intelligent monitoring device at the contact point by an elastic snap-fit ​​component. The intelligent monitoring device has a threaded rod threaded inside its housing. An arc ring is rotatably mounted on the extension end of the threaded rod. The rotation of the threaded rod causes the arc ring to move and achieves the arc ring cooperating with the side of the intelligent monitoring device to wrap and fix the molten tube.

[0008] Preferably, the sensors in the data acquisition module include a temperature sensor, a voltage sensor, a power sensor, and an environmental sensor. The temperature sensor is deployed in the battery pack inside the intelligent monitoring device and monitors the temperature data of the internal battery pack in real time. The voltage sensor is set at the battery output terminal to monitor the voltage data output by the battery in real time. The power sensor is used to measure the real-time battery charge level. The environmental sensor is used to acquire real-time temperature data of the external environment.

[0009] Preferably, the wireless transmission submodule in the data communication module first establishes a LoRa low-power wide area network protocol with the receiver of the gateway through the intelligent monitoring device, and sends a setup signal from the intelligent monitoring device for transmission until the receiver of the gateway receives the setup signal, thus completing the determination of the wireless signal transmission channel. The wired transmission submodule connects to the gateway via a cable through a reserved RS485 or Ethernet interface to establish a data link.

[0010] Preferably, the operation of numbering and classifying data from different devices in the operational data analysis module is as follows: Set up nodes for data classification. The content of each classification node includes the device name, the collected data content, the collection time, and the device location. The classification nodes are associated, and after the corresponding device name is determined, the data content, collection time and device location data are extracted. The data results of each node are digitized. Different device names are encoded according to serial numbers, the collected data content corresponds to the numerical results, and the collection time is converted into a numerical representation of year, month, day, hour, and minute. The location of the device is determined by latitude and longitude values ​​through BeiDou positioning.

[0011] Preferably, the operation of extracting the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located from the operation data analysis module to establish a battery capacity evaluation model is as follows: Historical data from intelligent monitoring devices with the same parameters are extracted and analyzed and categorized to form an external temperature dataset. The condition for categorizing the data into an external temperature dataset is that the temperature is maintained at a certain value for a time t1. Simultaneously, the internal temperature data of the battery pack at the corresponding external temperature dataset time is extracted to form an internal temperature dataset. The influence rules of internal and external temperatures are derived by combining the external temperature dataset and the internal temperature dataset. Then, the battery parameters under historical data were extracted, and the impact of different internal temperatures on battery capacity was determined. At the same time, the impact of different internal temperatures on battery discharge rate was also determined. By combining the battery's impact on the environment, a battery capacity assessment model is derived that determines the battery capacity at a given time when the external temperature change is known. When the corresponding device serial number is determined, the battery capacity assessment model updates the data parameters of the device with the current serial number.

[0012] Preferably, the operation of combining the external temperature dataset and the internal temperature dataset to derive the influence rules of internal and external temperatures is as follows: Extracting the external temperature dataset: The external temperature is C. n Use the data to determine the corresponding time T. n The corresponding time T n Extract the internal temperature data; After extracting the temperature data in sequential time, a temperature change curve is constructed. Time nodes are used as the horizontal axis category, and the internal temperature value at the corresponding time node is used as the vertical axis category. The temperature data at the corresponding time nodes are connected to form the temperature change curve. The curve change amplitude starting from the a-th node and occurring over a continuous time t2 is compared with a set change threshold, where t2 < t1. The result is as follows: Result 1: If the curve change amplitude is less than the set change threshold, then the temperature value at the current a-th node is the corresponding external temperature C. n Internal temperature value B under continuous conditions n ; Result 2: If the curve change amplitude is greater than the set change threshold, then remove the a-th node and start from the (a+1)-th node to extract the curve change amplitude under continuous time t2 and compare it again. Finally, it was found that at different external temperatures C n The corresponding internal temperature B n This forms the rules governing the influence of internal and external temperatures.

[0013] Preferably, the operation of the operation data analysis module to determine the stored power of the battery at the corresponding time after installation, by combining historical data and real-time temperature data, is as follows: The internal temperature of the battery's location is determined by analyzing the current battery usage count and historical battery storage capacity, and by extracting real-time external temperature data and matching it with the rules governing the influence of internal and external temperatures. Based on historical data, multi-level temperature ranges affecting battery discharge rate are extracted, and the actual battery storage capacity under the corresponding usage time is obtained by extracting and determining the current battery storage capacity. The system compares the actual electrical storage capacity with the safety threshold set by the intelligent monitoring device to generate and transmit early warning commands.

[0014] Preferably, the operation of extracting the multi-level temperature ranges affecting the battery discharge rate based on historical data is as follows: By extracting the corresponding temperature values ​​at different battery discharge rates from historical battery measurement data, and comparing the frequency of occurrence of the temperature values, the temperature range corresponding to the battery discharge rate is determined. The current battery discharge rate, denoted as V, is determined based on real-time temperature data. m And extract the current battery's storage capacity, labeled P. d The real-time battery storage capacity rate is η. m Therefore, the actual current battery storage capacity U is obtained. m For: U m =P d ×η m ; And according to the battery discharge rate Vm The actual current battery storage capacity U is obtained. m Support runtime t3=U m / V m ; The dynamic safety threshold is determined by the time it takes for the command generated by the current intelligent monitoring device to be transmitted to the nearest maintenance personnel, and the travel time determined by the maintenance personnel themselves. j If the support runtime t3 = t j When this happens, a warning command is generated and transmitted.

[0015] Preferably, the data feedback module guides maintenance personnel to replace the battery by pushing real-time early warning information via the APP. The safety threshold is determined dynamically in real time, that is, the maintenance personnel closest to the current intelligent monitoring device are determined based on BeiDou satellite positioning. After receiving the instruction, the maintenance personnel traced the coordinates of the intelligent monitoring device and carried a normal battery to perform the replacement operation.

[0016] This invention provides an outdoor high-voltage fuse snap-on intelligent monitoring device. Compared with the prior art, it has the following advantages: 1. This outdoor high-voltage fuse snap-on intelligent monitoring device, through the setting of an operation data analysis module, extracts the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located to establish a battery capacity assessment model. Combining historical data and real-time temperature data, it determines the stored power of the battery at the corresponding time after installation, and then generates and transmits early warning commands to realize dynamic monitoring of the battery operation status of the intelligent monitoring device, assesses the parameter changes of the battery under the influence of external factors, and forms a dynamic safety threshold by combining command feedback and processing time, so that maintenance personnel can replace the battery in a timely manner and ensure the continuous and stable monitoring operation of the intelligent monitoring device.

[0017] 2. This outdoor high-voltage fuse snap-on intelligent monitoring device digitizes the data results of each node, encodes different device names according to serial numbers, and corresponds the collected data content to the numerical results. The collection time is converted into a numerical representation of year, month, day, hour, and minute. The location of the device is determined by latitude and longitude values ​​through Beidou positioning. After the nodes are associated, the results corresponding to the nodes are digitized to better determine parameters and subsequent extraction and use. At the same time, it facilitates timely tracing and location of faults after they are discovered, thereby improving the processing efficiency of the intelligent monitoring device.

[0018] 3. This outdoor high-voltage fuse snap-on intelligent monitoring device combines external and internal temperature datasets to derive the rules governing the influence of internal and external temperatures. That is, when obtaining external temperature data, it can predict the subsequent changes in internal temperature in advance, thus knowing the impact on battery operation and the actual battery storage capacity in advance. This facilitates accurate monitoring of equipment operation, early warning of potential risks, and effectively ensures the stability and safety of the power system. Attached Figure Description

[0019] Figure 1 This is a three-dimensional structural diagram of the intelligent fuse monitoring device of the present invention; Figure 2 For the present invention Figure 1 Enlarged view of the local structure at point A in the middle; Figure 3 This is a schematic diagram of the intelligent monitoring device of the present invention.

[0020] In the diagram: 1-fusible tube, 2-upper sleeve of the fusing tube, 3-lower sleeve of the fusing tube, 4-clamp assembly, 41-clamp, 42-threaded rod, 43-circular arc ring, 5-intelligent monitoring device. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figures 1-3 This invention provides a technical solution: an outdoor high-voltage fuse snap-on intelligent monitoring device, including a fuse tube 1, with an upper fuse tube sleeve 2 and a lower fuse tube sleeve 3 respectively connected and fixed to both sides of the fuse tube 1 for connection with an insulating terminal, and the surface of the fuse tube 1 is connected to the intelligent monitoring device 5 via a snap-on assembly 4, and the intelligent monitoring device 5 is provided with: The data acquisition module is equipped with multiple types of sensors to acquire fuse operating parameters and environmental data in real time; The data communication module, through the combination of wired and wireless transmission sub-modules, establishes a data link with the gateway and transmits the collected data in real time. The data analysis module is run to classify and number data from different devices, extract the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located to establish a battery capacity assessment model, combine historical data and real-time temperature data to determine the stored power of the battery at the corresponding time after installation, and then generate and transmit early warning commands. The data feedback module integrates LED indicators and a buzzer. It triggers different levels of alarms based on the analysis results and pushes real-time warning information through the APP to guide maintenance personnel to replace the battery.

[0023] By incorporating an operational data analysis module, the system extracts battery parameters and real-time temperature parameters within the battery's location to establish a battery capacity assessment model. Combining historical data and real-time temperature data, it determines the battery's stored capacity at the corresponding time after installation. Then, it generates and transmits early warning commands, enabling dynamic monitoring of the intelligent monitoring device's battery operation. This assesses parameter changes caused by external factors and, based on command feedback and processing time, establishes dynamic safety thresholds. This allows maintenance personnel to replace batteries promptly, ensuring the continuous and stable monitoring operation of the intelligent monitoring device.

[0024] In this embodiment of the invention, the buckle assembly 4 includes a clamp 41 rotatably mounted on the side of the intelligent monitoring device 5. When the clamp 41 is rotated to the point where its end face contacts the side of the intelligent monitoring device 5, an inner wrapping space is formed that fits and contacts the surface of the molten tube 1. The clamp 41 is fixed to the intelligent monitoring device 5 at the point of contact with the intelligent monitoring device 5 by an elastic snap-fit. The intelligent monitoring device 5 has a threaded rod 42 threadedly connected inside its outer shell. An arc ring 43 is rotatably mounted on the extended end of the threaded rod 42. The rotation of the threaded rod 42 causes the arc ring 43 to move and achieve the arc ring 43 cooperating with the side of the intelligent monitoring device 5 to wrap and fix the molten tube 1.

[0025] In this embodiment of the invention, the sensors in the data acquisition module include a temperature sensor, a voltage sensor, a power sensor, and an environmental sensor. The temperature sensor is deployed in the battery pack inside the intelligent monitoring device and monitors the temperature data of the internal battery pack in real time. The voltage sensor is set at the battery output terminal to monitor the voltage data output by the battery terminal in real time. The power sensor is used to measure the real-time power level of the battery. The environmental sensor is used to acquire real-time temperature data of the external environment.

[0026] In this embodiment of the invention, the wireless transmission submodule in the data communication module first establishes a LoRa low-power wide area network protocol with the receiver of the gateway through the intelligent monitoring device, and sends a setup signal from the intelligent monitoring device for transmission until the receiver of the gateway receives the setup signal, thus completing the determination of the wireless signal transmission channel. The wired transmission submodule connects to the gateway via a cable through a reserved RS485 or Ethernet interface to establish a data link.

[0027] In this embodiment of the invention, the operation of classifying and numbering data from different devices in the runtime data analysis module is as follows: Set up nodes for data classification. The content of each classification node includes the device name, the collected data content, the collection time, and the device location. The classification nodes are associated, and after the corresponding device name is determined, the data content, collection time and device location data are extracted. The data results of each node are digitized. Different device names are encoded according to serial numbers, the collected data content corresponds to the numerical results, and the collection time is converted into a numerical representation of year, month, day, hour, and minute. The location of the device is determined by latitude and longitude values ​​through BeiDou positioning.

[0028] For example, different device names or parameter sequences are numbered as {1, 2, 3, ...}, and the collected numerical results correspond to "voltage: 220V". The numerical representation of the collection time is: (2025.03.18, 15:35). 2025.03.18 corresponds to March 18, 2025, and 15:35 corresponds to 3:35 pm. The latitude and longitude values ​​of the device location are labeled as "Device 1 (116.24E, 39.55N)".

[0029] By quantifying the data results of each node, different device names are encoded according to serial numbers, the collected data content corresponds to the numerical results, and the collection time is converted into a numerical representation of year, month, day, hour, and minute. The location of the device is determined by latitude and longitude values ​​through BeiDou positioning. After the nodes are associated, the results corresponding to the nodes are quantified to better determine parameters and subsequent extraction and use. At the same time, it is convenient to trace and locate the source of faults in a timely manner after they are discovered, thereby improving the processing efficiency of the intelligent monitoring device.

[0030] In this embodiment of the invention, the operation of extracting the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located from the running data analysis module to establish a battery capacity evaluation model is as follows: Historical data from intelligent monitoring devices with the same parameters are extracted and analyzed and categorized to form an external temperature dataset. The condition for categorizing the data into an external temperature dataset is that the temperature is maintained at a certain value for a time t1. Simultaneously, the internal temperature data of the battery pack at the corresponding external temperature dataset time is extracted to form an internal temperature dataset. The influence rules of internal and external temperatures are derived by combining the external temperature dataset and the internal temperature dataset. Then, the battery parameters under historical data were extracted, and the impact of different internal temperatures on battery capacity was determined. At the same time, the impact of different internal temperatures on battery discharge rate was also determined. By combining the battery's impact on the environment, a battery capacity assessment model is derived that determines the battery capacity at a given time when the external temperature change is known. When the corresponding device serial number is determined, the battery capacity assessment model updates the data parameters of the device with the current serial number.

[0031] In this embodiment of the invention, the operation of deriving the influence rules of internal and external temperatures by combining the external temperature dataset and the internal temperature dataset is as follows: Extracting the external temperature dataset: The external temperature is C. n Use the data to determine the corresponding time T. n The corresponding time T n Extract the internal temperature data; After extracting the temperature data in sequential time, a temperature change curve is constructed. Time nodes are used as the horizontal axis category, and the internal temperature value at the corresponding time node is used as the vertical axis category. The temperature data at the corresponding time nodes are connected to form the temperature change curve. The curve change amplitude starting from the a-th node and occurring over a continuous time t2 is compared with a set change threshold, where t2 < t1. The result is as follows: Result 1: If the curve change amplitude is less than the set change threshold, then the temperature value at the current a-th node is the corresponding external temperature C. n Internal temperature value B under continuous conditions n ; Result 2: If the curve change amplitude is greater than the set change threshold, then remove the a-th node and start from the (a+1)-th node to extract the curve change amplitude under continuous time t2 and compare it again. Finally, it was found that at different external temperatures C n The corresponding internal temperature B n This forms the rules governing the influence of internal and external temperatures.

[0032] In this embodiment of the invention, the operation of the data analysis module to determine the stored capacity of the battery at the corresponding time after installation, by combining historical data and real-time temperature data, is as follows: The internal temperature of the battery's location is determined by analyzing the current battery usage count and historical battery storage capacity, and by extracting real-time external temperature data and matching it with the rules governing the influence of internal and external temperatures. Based on historical data, multi-level temperature ranges affecting battery discharge rate are extracted, and the actual battery storage capacity under the corresponding usage time is obtained by extracting and determining the current battery storage capacity. The system compares the actual electrical storage capacity with the safety threshold set by the intelligent monitoring device to generate and transmit early warning commands.

[0033] In this embodiment of the invention, the operation of extracting multi-level temperature ranges affecting battery discharge rate based on historical data is as follows: By extracting the corresponding temperature values ​​at different battery discharge rates from historical battery measurement data, and comparing the frequency of occurrence of the temperature values, the temperature range corresponding to the battery discharge rate is determined. The current battery discharge rate, denoted as V, is determined based on real-time temperature data. mAnd extract the current battery's storage capacity, labeled P. d The real-time battery storage capacity rate is η. m Therefore, the actual current battery storage capacity U is obtained. m For: U m =P d ×η m ; And according to the battery discharge rate V m The actual current battery storage capacity U is obtained. m Support runtime t3=U m / V m ; The dynamic safety threshold is determined by the time it takes for the command generated by the current intelligent monitoring device to be transmitted to the nearest maintenance personnel, and the travel time determined by the maintenance personnel themselves. j If the support runtime t3 = t j When this happens, a warning command is generated and transmitted.

[0034] By combining external and internal temperature datasets, the influence rules of internal and external temperatures are derived. That is, when the external temperature data is obtained, the subsequent changes in internal temperature can be predicted in advance. This allows us to know in advance the impact on battery operation and the actual battery storage capacity, so as to accurately grasp the equipment operation status, issue early warnings of potential risks, and effectively ensure the stability and safety of the power system.

[0035] In this embodiment of the invention, the data feedback module guides maintenance personnel to replace the battery by pushing real-time early warning information via the APP. The safety threshold is determined dynamically in real time, that is, the maintenance personnel closest to the current intelligent monitoring device are determined based on BeiDou satellite positioning. After receiving the instruction, the maintenance personnel traced the coordinates of the intelligent monitoring device and carried a normal battery to perform the replacement operation.

[0036] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0037] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0038] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An outdoor high-voltage fuse snap-on intelligent monitoring device, characterized in that: The device includes a fusible tube (1), with an upper sleeve (2) and a lower sleeve (3) fixedly connected to both sides of the fusible tube (1) for connection to an insulating terminal. The surface of the fusible tube (1) is connected to an intelligent monitoring device (5) via a snap-fit ​​assembly (4). The intelligent monitoring device (5) is equipped with: The data acquisition module is equipped with multiple types of sensors to acquire fuse operating parameters and environmental data in real time; The data communication module, through the combination of wired and wireless transmission sub-modules, establishes a data link with the gateway and transmits the collected data in real time. The data analysis module is run to classify and number data from different devices, extract the battery parameters used by the intelligent monitoring device and the real-time temperature parameters of the space where the battery is located to establish a battery capacity assessment model, combine historical data and real-time temperature data to determine the stored power of the battery at the corresponding time after installation, and then generate and transmit early warning commands. The data feedback module integrates LED indicators and a buzzer. It triggers different levels of alarms based on the analysis results and pushes real-time warning information through the APP to guide maintenance personnel to replace the battery.

2. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 1, characterized in that: The buckle assembly (4) includes a clamp (41) rotatably mounted on the side of the intelligent monitoring device (5). When the clamp (41) rotates to the end face and contacts the side of the intelligent monitoring device (5), an inner wrapping space is formed and it comes into contact with the surface of the molten tube (1). The clamp (41) is fixed to the intelligent monitoring device (5) by an elastic snap fastener. The shell of the intelligent monitoring device (5) is threaded with a threaded rod (42). The extension end of the threaded rod (42) is rotatably mounted with an arc ring (43). The rotation of the threaded rod (42) causes the arc ring (43) to move and achieves the arc ring (43) to cooperate with the side of the intelligent monitoring device (5) to wrap and fix the molten tube (1).

3. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 1, characterized in that: The sensors in the data acquisition module include a temperature sensor, a voltage sensor, a power sensor, and an environmental sensor. The temperature sensor is deployed in the battery pack inside the intelligent monitoring device and monitors the temperature data of the internal battery pack in real time. The voltage sensor is set at the battery output terminal to monitor the voltage data output by the battery in real time. The power sensor is used to measure the real-time battery charge level. The environmental sensor is used to acquire real-time temperature data of the external environment.

4. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 1, characterized in that: The wireless transmission submodule in the data communication module first establishes a LoRa low-power wide area network protocol with the receiver of the gateway through the intelligent monitoring device, and sends a setup signal from the intelligent monitoring device for transmission until the receiver of the gateway receives the setup signal, thus completing the determination of the wireless signal transmission channel. The wired transmission submodule connects to the gateway via a cable through a reserved RS485 or Ethernet interface to establish a data link.

5. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 1, characterized in that: The operation of classifying and numbering data from different devices in the operational data analysis module is as follows: Set up nodes for data classification. The content of each classification node includes the device name, the collected data content, the collection time, and the device location. The classification nodes are associated, and after the corresponding device name is determined, the data content, collection time and device location data are extracted. The data results of each node are digitized. Different device names are encoded according to serial numbers, the collected data content corresponds to the numerical results, and the collection time is converted into a numerical representation of year, month, day, hour, and minute. The location of the device is determined by latitude and longitude values ​​through BeiDou positioning.

6. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 1, characterized in that: The operation of extracting battery parameters used by the intelligent monitoring device and real-time temperature parameters in the space where the battery is located from the operational data analysis module to establish a battery capacity assessment model is as follows: Historical data from intelligent monitoring devices with the same parameters are extracted and analyzed and categorized to form an external temperature dataset. The condition for categorizing the data into an external temperature dataset is that the temperature is maintained at a certain value for a time t1. Simultaneously, the internal temperature data of the battery pack at the corresponding external temperature dataset time is extracted to form an internal temperature dataset. The influence rules of internal and external temperatures are derived by combining the external temperature dataset and the internal temperature dataset. Then, the battery parameters under historical data were extracted, and the impact of different internal temperatures on battery capacity was determined. At the same time, the impact of different internal temperatures on battery discharge rate was also determined. By combining the battery's impact on the environment, a battery capacity assessment model is derived that determines the battery capacity at a given time when the external temperature change is known. When the corresponding device serial number is determined, the battery capacity assessment model updates the data parameters of the device with the current serial number.

7. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 6, characterized in that: The operation of combining the external temperature dataset and the internal temperature dataset to derive the influence rules of internal and external temperatures is as follows: Extracting the external temperature dataset: The external temperature is C. n Use the data to determine the corresponding time T. n The corresponding time T n Extract the internal temperature data; After extracting the temperature data in sequential time, a temperature change curve is constructed. Time nodes are used as the horizontal axis category, and the internal temperature value at the corresponding time node is used as the vertical axis category. The temperature data at the corresponding time nodes are connected to form the temperature change curve. The curve change amplitude starting from the a-th node and occurring over a continuous time t2 is compared with a set change threshold, where t2 < t1. The result is as follows: Result 1: If the curve change amplitude is less than the set change threshold, then the temperature value at the current a-th node is the corresponding external temperature C. n Internal temperature value B under continuous conditions n ; Result 2: If the curve change amplitude is greater than the set change threshold, then remove the a-th node and start from the (a+1)-th node to extract the curve change amplitude under continuous time t2 and compare it again. Finally, it was found that at different external temperatures C n The corresponding internal temperature B n This forms the rules governing the influence of internal and external temperatures.

8. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 7, characterized in that: The operational data analysis module, combining historical data and real-time temperature data, determines the storage capacity of the battery at the corresponding time after installation as follows: The internal temperature of the battery's location is determined by analyzing the current battery usage count and historical battery storage capacity, and by extracting real-time external temperature data and matching it with the rules governing the influence of internal and external temperatures. Based on historical data, multi-level temperature ranges affecting battery discharge rate are extracted, and the actual battery storage capacity under the corresponding usage time is obtained by extracting and determining the current battery storage capacity. The system compares the actual electrical storage capacity with the safety threshold set by the intelligent monitoring device to generate and transmit early warning commands.

9. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 8, characterized in that: The operation of extracting the multi-level temperature ranges that affect the battery discharge rate based on historical data is as follows: By extracting the corresponding temperature values ​​at different battery discharge rates from historical battery measurement data, and comparing the frequency of occurrence of the temperature values, the temperature range corresponding to the battery discharge rate is determined. The current battery discharge rate, denoted as V, is determined based on real-time temperature data. m And extract the current battery's storage capacity, labeled P. d The real-time battery storage capacity rate is η. m Therefore, the actual current battery storage capacity U is obtained. m For: U m =P d ×η m ; And according to the battery discharge rate V m The actual current battery storage capacity U is obtained. m Support runtime t3=U m / V m ; The dynamic safety threshold is determined by the time it takes for the command generated by the current intelligent monitoring device to be transmitted to the nearest maintenance personnel, and the travel time determined by the maintenance personnel themselves. j If the support runtime t3 = t j When this happens, a warning command is generated and transmitted.

10. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 9, characterized in that: The data feedback module guides maintenance personnel on battery replacement by pushing real-time early warning information via the APP. The safety threshold is determined dynamically in real time, that is, the maintenance personnel closest to the current intelligent monitoring device are determined based on BeiDou satellite positioning. After receiving the instruction, the maintenance personnel traced the coordinates of the intelligent monitoring device and carried a normal battery to perform the replacement operation.

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