Outdoor high-voltage fuse buckle type intelligent monitoring device

Abstract

The application 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. The outdoor high-voltage fuse buckle type intelligent monitoring device is provided with the operation data analysis module, which extracts battery parameters used by the intelligent monitoring device and real-time temperature parameters in the space where the battery is located to establish a battery capacity evaluation model, combines historical data and real-time temperature data to determine the storage power of the current battery after installation at the corresponding time, generates an early warning instruction for transmission, realizes dynamic monitoring of the battery operation of the intelligent monitoring device, evaluates the parameter change of the battery under the influence of external factors, combines instruction feedback and processing time to form a dynamic safety threshold, so that the operation and maintenance personnel can replace the battery in time, and the continuous and stable monitoring operation of the intelligent monitoring device is ensured.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of intelligent monitoring, and particularly relates to a buckle type intelligent monitoring device for an outdoor high-voltage fuse. BACKGROUND

[0002] The online intelligent monitoring device for the fuse adopts a modular design concept, has high compatibility and convenience, does not need to be used for large-scale modification of an existing power system, and can only be simply installed on a carrier fuse of a conventional fuse that has been put into use in a buckle type mode, so that intelligent upgrading of equipment can be quickly completed.

[0003] Referring to a patent with the name of "comprehensive intelligent PT fuse line breakage online monitoring device and method" (patent publication number: CN117706424A, patent publication date: March 15, 2024), the device can monitor the state of a PT fuse in real time, analyze whether a three-phase voltage difference is greater than a rated value through a point-by-point sampling mode, and thus determine whether A, B and C three-phase PT fuses are broken, the device is composed of a controller and a voltage sensor, the controller is composed of a power module, a data processing module, a display module and a communication module, the controller is responsible for data processing and control, and the voltage sensor is used for collecting a voltage signal; the voltage sensor is installed at upper and lower positions of the PT fuse, and the controller is installed at a position convenient for observation and operation.

[0004] Based on the description of the above file, the intelligent monitoring device of the existing outdoor high-voltage fuse is used for monitoring various parameter data in real time, power failure of the intelligent monitoring device affects the use time of the intelligent monitoring device, the existing battery is affected by external temperature and its own loss, the support time of the equipment changes, and operation and maintenance personnel cannot timely receive instructions to perform replacement operation, therefore, the application provides the buckle type intelligent monitoring device for the outdoor high-voltage fuse. SUMMARY

[0005] In view of the defects of the prior art, the application provides the buckle type intelligent monitoring device for the outdoor high-voltage fuse, and solves the problems that the intelligent monitoring device of the existing outdoor high-voltage fuse is used for monitoring various parameter data in real time, power failure of the intelligent monitoring device affects the use time of the intelligent monitoring device, the existing battery is affected by external temperature and its own loss, the support time of the equipment changes, and operation and maintenance personnel cannot timely receive instructions to perform replacement operation.

[0006] In order to achieve the above object, the present application is realized by the following technical scheme: an outdoor high-voltage fuse buckle type intelligent monitoring device, comprising a fuse tube, a fuse tube upper sleeve and a fuse tube lower sleeve are fixedly connected on both sides of the fuse tube for realizing connection with an insulation terminal, and the surface of the fuse tube realizes the intelligent monitoring device through a buckle assembly, and the intelligent monitoring device is provided with:

[0007] A data acquisition module is provided with multiple types of sensors for real-time acquisition of fuse operating parameters and environmental data;

[0008] A data communication module realizes data linkage with a gateway through the combination of a wired transmission submodule and a wireless transmission submodule, and realizes real-time transmission of collected data;

[0009] An operating data analysis module realizes numbering and classification of different device data, extracts battery parameters used by the intelligent monitoring device and real-time temperature parameters in the space where the battery is located to establish a battery capacity evaluation model, determines the storage power of the current battery after installation at the corresponding time in combination with historical data and real-time temperature data, and then generates a warning instruction for transmission;

[0010] A data feedback module integrates an LED indicator light and a buzzer, triggers different levels of alarms according to the analysis results, pushes real-time warning information through an APP, and guides maintenance personnel to replace the battery.

[0011] Preferably, the buckle assembly comprises a clamp rotatably installed on the side surface of the intelligent monitoring device, and when the clamp is rotated to the end surface and in contact with the side surface of the intelligent monitoring device, the inner side forms a wrapping space in contact with the surface of the fuse tube, and the contact between the clamp and the intelligent monitoring device is fixed by an elastic clamping piece, and a threaded rod is screwedly connected in the inside of the shell of the intelligent monitoring device, a circular arc ring is rotatably installed at the extension end of the threaded rod, and rotation of the threaded rod moves the circular arc ring and realizes wrapping and fixing of the fuse tube by the circular arc ring cooperating with the side surface of the intelligent monitoring device.

[0012] Preferably, the sensors in the data acquisition module comprise temperature sensors, voltage sensors, power sensors and environmental sensors, the temperature sensors are arranged in the internal battery pack of the intelligent monitoring device and monitor the temperature data of the internal battery pack in real time, the voltage sensors are arranged at the output end of the battery to monitor the voltage data output by the battery in real time, the power sensor is used to measure the real-time power storage of the battery, and the environmental sensor is used to acquire real-time temperature data in the external environment.

[0013] Preferably, the wireless transmission submodule in the data communication module first establishes a LoRa low-power wide-area network protocol through the receiving end of the gateway of the intelligent monitoring device, transmits the construction signal from the intelligent monitoring device, and determines the wireless signal transmission channel after the receiving end of the gateway receives the construction signal.

[0014] The wired transmission submodule connects to the gateway via a cable through a reserved RS485 or Ethernet interface to establish a data link.

[0015] Preferably, the operation of numbering and classifying data from different devices in the operational data analysis module is as follows:

[0016] 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.

[0017] The classification nodes are associated, and after the corresponding device name is determined, the data content, collection time and device location data are extracted.

[0018] 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.

[0019] 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:

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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:

[0024] Extracting the external temperature dataset: The external temperature is C. n Use the data to determine the corresponding time T. n The corresponding time Tn extracting the internal temperature data under the time node;

[0025] After extracting the temperature data under the time node, a temperature change curve is established, taking the time node as the horizontal axis category, the internal temperature value under the corresponding time node as the vertical axis category, and the temperature data of the corresponding time node as the curve connection to form the temperature change curve. The curve change amplitude from the a node to the continuous time t2 is compared with the set change threshold, and t2 < t1, and the result is:

[0026] Result I: the curve change amplitude is less than the set change threshold, and the temperature value at the current a node is the corresponding external temperature C n the internal temperature value B under the continuous time; n

[0027] Result II: the curve change amplitude is greater than the set change threshold, and the a node is removed, and the curve change amplitude under the continuous time t2 is extracted from the a+1 node to compare again;

[0028] Finally, the corresponding internal temperature B n under different external temperatures C n is obtained, and the influence rule of internal and external temperature is formed.

[0029] Preferably, the operation of the running data analysis module in combination with historical data and real-time temperature data to determine the storage capacity of the current battery at the corresponding time after installation is:

[0030] By determining the number of times the current battery is used and the battery storage capacity under the historical data, and extracting the real-time external temperature data and the influence rule of internal and external temperature, the internal temperature of the location where the battery is located is determined;

[0031] Based on the historical data, the multi-stage temperature interval affecting the battery discharge rate is extracted, and the actual electric storage capacity of the battery under the corresponding use time is obtained by extracting the storage capacity of the current battery;

[0032] According to the comparison between the actual electric storage capacity and the safety threshold set by the intelligent monitoring device, a warning instruction is generated and transmitted.

[0033] Preferably, the operation of extracting the multi-stage temperature interval affecting the battery discharge rate based on the historical data is:

[0034] By extracting the temperature values corresponding to different battery discharge rates in the battery calculation data of the historical data, and determining the temperature interval corresponding to the battery discharge rate according to the number of times the temperature values appear, the temperature interval corresponding to the battery discharge rate is determined;

[0035] According to the real-time temperature data, the battery discharge rate of the current battery is marked as V m ​And the current battery storage capacity is extracted as P d And the real-time battery storage capacity rate is η m Therefore, the current battery actual electric storage amount U m is obtained as follows: U m =P d ×η m ;

[0036] And according to the battery discharge rate V m , the current battery actual electric storage amount U m is obtained as follows: U m =V m ×t3 ;

[0037] According to the time for the current intelligent monitoring device to generate an instruction transmission to the nearest operation and maintenance personnel and the time determined by the operation and maintenance personnel themselves to go to the time, a dynamic safety threshold t j is determined, and if the support operation time t3=t j , a warning instruction is generated for transmission.

[0038] Preferably, the data feedback module pushes real-time warning information through APP to guide the operation and maintenance personnel to replace the battery as follows:

[0039] The dynamic real-time safety threshold is determined, that is, the nearest operation and maintenance personnel to the current intelligent monitoring device is determined according to the Beidou satellite positioning;

[0040] The operation and maintenance personnel trace back to the coordinate positioning of the intelligent monitoring device after receiving the instruction, and replace the battery with a normal battery.

[0041] The present application provides a kind of outdoor high-voltage fuse buckle type intelligent monitoring device.Compared with prior art, it has the following beneficial effects:

[0042] 1、The outdoor high-voltage fuse buckle type intelligent monitoring device, by setting up running data analysis module, the battery parameters used by intelligent monitoring device and the real-time temperature parameters in the space where the battery is located are extracted to establish battery capacity evaluation model, the storage capacity of current battery after installation is determined at corresponding time in combination with historical data and real-time temperature data, and then a warning instruction is generated for transmission, realizing the dynamic monitoring of the battery operation of intelligent monitoring device, evaluating the parameter change of battery under the influence of external factors, and forming a dynamic safety threshold in combination with instruction feedback and processing time, so that operation and maintenance personnel can replace the battery in time, and ensure the continuous and stable monitoring operation of intelligent monitoring device.

[0043] 2、The outdoor high-voltage fuse buckle type intelligent monitoring device, through the numerical operation of each node data result, different equipment names are coded according to the serial number, the collected data content corresponds to the numerical result, and the collection time is converted into the numerical representation of year, month, day, hour and minute, and the position of the equipment is determined by the Beidou positioning to obtain the longitude and latitude values, after the node association, the numerical operation is carried out on the corresponding results of the node, so that the parameters and subsequent extraction are better determined, and the fault is found and timely traced and positioned for processing, and the processing efficiency of the intelligent monitoring device is improved.

[0044] 3、The outdoor high-voltage fuse buckle type intelligent monitoring device, by combining the external temperature data set and the internal temperature data set, the influence rule of internal and external temperature is obtained, that is, the next change of internal temperature is predicted in advance when the external temperature data is obtained, the influence on the operation of the battery and the actual electric storage capacity of the battery can be known in advance, so that the operation condition of the equipment can be accurately mastered, the potential risk can be warned in advance, and the stability and safety of the power system can be effectively guaranteed. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 It is the external three-dimensional structure of the fuse intelligent monitoring device of the application.

[0046] Figure 2 It is the Figure 1 A local structure enlargement map in the application.

[0047] Figure 3 It is the principle block diagram of the intelligent monitoring device.

[0048] In the figure: 1-fuse tube, 2-fuse tube upper sleeve, 3-fuse tube lower sleeve, 4-buckle assembly, 41-clip, 42-threaded rod, 43-circular arc ring, 5-intelligent monitoring device. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.

[0050] Please refer to Figures 1-3 The application provides a technical solution: an outdoor high-voltage fuse buckle type intelligent monitoring device, which comprises a fuse tube 1, a fuse tube upper sleeve 2 and a fuse tube lower sleeve 3 are respectively connected and fixed on both sides of the fuse tube 1 for realizing connection with an insulating terminal, and the surface of the fuse tube 1 realizes the intelligent monitoring device 5 through a buckle assembly 4, and the intelligent monitoring device 5 is provided with:

[0051] The data acquisition module is provided with multiple types of sensors to acquire real-time operating parameters and environmental data of the fuse;

[0052] The data communication module realizes data linkage with the gateway through the combination of the wired transmission submodule and the wireless transmission submodule, and realizes real-time transmission of the collected data.

[0053] The operating data analysis module realizes numbering and classification of different device data, extracts battery parameters used by the intelligent monitoring device and real-time temperature parameters in the space where the battery is located, establishes a battery capacity evaluation model, determines the storage capacity of the current battery after installation at the corresponding time in combination with historical data and real-time temperature data, and then generates a warning instruction for transmission.

[0054] The data feedback module integrates LED indicator lights and a buzzer, triggers different levels of alarms according to the analysis results, pushes real-time warning information through the APP, and guides the maintenance personnel to replace the battery.

[0055] By setting the operating data analysis module, the battery parameters used by the intelligent monitoring device and the real-time temperature parameters in the space where the battery is located are extracted to establish a battery capacity evaluation model, the storage capacity of the current battery after installation at the corresponding time is determined in combination with historical data and real-time temperature data, and then a warning instruction is generated for transmission, realizing dynamic monitoring of the battery operation of the intelligent monitoring device, evaluating the parameter changes of the battery under the influence of external factors, and forming a dynamic safety threshold in combination with instruction feedback and processing time, so that the maintenance personnel can replace the battery in time and ensure the continuous and stable monitoring operation of the intelligent monitoring device.

[0056] In the embodiment of the application, the buckle assembly 4 includes a clamp 41 rotatably installed on the side surface of the intelligent monitoring device 5, and when the clamp 41 is rotated to contact the side surface of the intelligent monitoring device 5 at the end surface, the inner side forms a wrapping space and is in contact with the surface of the fuse tube 1, and the contact part of the clamp 41 and the intelligent monitoring device 5 is fixed by an elastic clamping piece, and the inside of the shell of the intelligent monitoring device 5 is threadedly connected with a threaded rod 42, and the extended end of the threaded rod 42 is rotatably installed with a circular arc ring 43, and the rotation of the threaded rod 42 makes the circular arc ring 43 move and realize the wrapping and fixing of the fuse tube 1 by the circular arc ring 43 cooperating with the side surface of the intelligent monitoring device 5.

[0057] In the embodiment of the application, the sensors in the data acquisition module include temperature sensors, voltage sensors, power sensors and environmental sensors, the temperature sensors are arranged in the internal battery pack of the intelligent monitoring device and monitor the temperature data of the internal battery pack in real time, the voltage sensors are arranged at the output end of the battery to monitor the voltage data output by the battery in real time, the power sensor is used to measure the real-time power storage of the battery, and the environmental sensor is used to acquire real-time temperature data in the external environment.

[0058] In the embodiment of the present application, the wireless transmission submodule in the data communication module first establishes a LoRa low-power wide-area network protocol with the receiving end of the gateway through the intelligent monitoring device, transmits the construction signal from the intelligent monitoring device, and determines the wireless signal transmission channel after the receiving end of the gateway receives the construction signal.

[0059] The wired transmission submodule realizes data linkage through the reserved RS485 or Ethernet interface and the gateway through cable connection.

[0060] In the embodiment of the present application, the operation of numbering and classifying different device data in the running data analysis module is:

[0061] The node for data classification is set, and the contents of the classification node are device name, collected data content, collection time and device location;

[0062] The classification node is associated, and after the corresponding device name is determined, the collected data content, collection time and device location data are extracted;

[0063] The data results of each node are numerically operated, different device names are encoded according to serial numbers, the collected data content corresponds to numerical results, the collection time is converted into numerical representation of year, month, day, hour and minute, and the device location is determined by Beidou positioning to determine the longitude and latitude values.

[0064] For example, different device names or parameter sequences are encoded as {1, 2, 3, …}, and the collected numerical results correspond to "voltage: 220v", the collection time numerical representation is (2025.03.18, 15:35), 2025.03.18 corresponds to March 18, 2025, 15:35 corresponds to 3:35 pm, and the longitude and latitude values of the device location are "device 1 (116.24E, 39.55N)".

[0065] By numerically operating the data results of each node, different device names are encoded according to serial numbers, the collected data content corresponds to numerical results, the collection time is converted into numerical representation of year, month, day, hour and minute, and the device location is determined by Beidou positioning to determine the longitude and latitude values, after the node association, the numerical operation is performed on the results corresponding to the node, so as to better determine the parameters and subsequent extraction and use, and at the same time, it is convenient to find out the fault and timely trace and locate for processing, and the processing efficiency of the intelligent monitoring device is improved.

[0066] In the embodiment of the present application, the operation of establishing a battery capacity evaluation model by extracting the battery parameters of the intelligent monitoring device and the real-time temperature parameters in the space where the battery is located in the running data analysis module is:

[0067] Extract the historical data of the same parameter intelligent monitoring device, analyze and classify the historical data to form an external temperature data set, and the condition for classifying the external temperature data set needs to meet that the temperature is maintained at a certain value for a time t1, and the internal temperature data of the battery pack at the corresponding external temperature data set time is extracted to form an internal temperature data set, and the influence rule of internal and external temperature is obtained by combining the external temperature data set and the internal temperature data set;

[0068] Then extract the battery parameters under the historical data, and determine the influence of different internal temperatures on the battery capacity, and simultaneously determine the influence of different internal temperatures on the battery discharge rate;

[0069] The battery affected situation is combined to obtain a battery capacity evaluation model for determining the battery capacity situation at the corresponding time when the external temperature change is known, and the battery capacity evaluation model is updated to the data parameters of the current serial number coded device when the corresponding device serial number code is determined.

[0070] In the embodiment of the application, the operation of obtaining the influence rule of internal and external temperature by combining the external temperature data set and the internal temperature data set is:

[0071] Extract the data when the external temperature of the external temperature data set is C n , determine the corresponding time T n , and extract the internal temperature data at the corresponding time T n .

[0072] After extracting the temperature data at the sequential time, a temperature change curve is established, the time node is taken as the horizontal axis category, the internal temperature value at the corresponding time node is taken as the vertical axis category, the temperature data at the corresponding time node is connected to form a temperature change curve, the curve change amplitude at the continuous time t2 from the a node is obtained, and the set change threshold is compared, and t2<t1, the result is:

[0073] Result one, the curve change amplitude is less than the set change threshold, then the temperature value at the current a node is the internal temperature value B n under the corresponding external temperature C n ;

[0074] Result two, the curve change amplitude is greater than the set change threshold, then the a node is removed, the curve change amplitude at the continuous time t2 from the a+1 node is extracted again, and the comparison is performed again;

[0075] Finally, the corresponding internal temperature B n under different external temperatures C n is obtained, and the influence rule of internal and external temperature is formed.

[0076] 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:

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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:

[0081] 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.

[0082] 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 ;

[0083] 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 ;

[0084] 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.

[0085] By combining the external temperature data set and the internal temperature data set, the influence rule of internal and external temperature is obtained, that is, when the external temperature data is obtained, the next change of the internal temperature is predicted in advance, the influence on the battery operation and the influence on the actual electric storage amount of the battery are known in advance, so that the equipment operation condition is accurately mastered, the potential risk is warned in advance, and the stability and safety of the power system are effectively guaranteed.

[0086] In the embodiment of the application, the data feedback module guides the operation and maintenance personnel to replace the battery through APP pushing real-time warning information as follows:

[0087] The dynamic real-time safety threshold is determined, that is, the operation and maintenance personnel closest to the current intelligent monitoring device is determined according to the Beidou satellite positioning;

[0088] The operation and maintenance personnel trace back to the coordinate positioning of the intelligent monitoring device after receiving the instruction, and replace the battery with a normal battery.

[0089] Meanwhile, the contents not described in detail in the specification all belong to the prior art known by those skilled in the art.

[0090] It should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the term "include", "contain" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0091] Although the embodiments of the application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the application, and the scope of the application 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 fusible tube sleeve (2) and a lower fusible tube sleeve (3) fixedly connected to both sides of the fusible tube (1) for connection with an insulating terminal. The surface of the fusible tube (1) is fixed to the 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. 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, a battery capacity assessment model is derived that determines the battery capacity at the corresponding 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. 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.

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 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.

7. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 6, 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.

8. The outdoor high-voltage fuse snap-on intelligent monitoring device according to claim 7, 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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