Charging pile monitoring method and monitoring device

Abstract

The invention provides a monitoring method and monitoring device for a charging pile, and the method comprises the steps: determining key components, needing to be monitored, of the charging pile and corresponding monitoring parameters, the key components comprise a power module, a gun and a fan, and the monitoring parameters comprise the life condition of the power module; the plugging frequency of the charging gun and the over-temperature frequency of PT1000 are determined; working time and rotating speed of a system fan; carrying out real-time data acquisition and storage on the monitoring parameters corresponding to the key components; predicting the health condition of the key component according to the collected data, and judging whether an early warning instruction is sent out or not according to the health condition; and issuing an operation and maintenance work order according to the early warning instruction. According to the method, the health state of the key component of the charging pile can be monitored in real time and early warned in time, potential faults are solved before problems occur, stable operation of the key electric component of the charging pile is ensured through an advanced prevention and timely warning mechanism, predictive protection is achieved, and the whole method is simple and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and particularly relates to a monitoring method and a monitoring device for a charging pile. Background Art

[0002] With the popularization of electric vehicles, as an important infrastructure for electric vehicles, the number and usage frequency of charging piles are increasing continuously. The stable operation of charging piles is directly related to the convenience of using electric vehicles and the user experience.

[0003] However, currently, for the monitoring of charging piles, most adopt the method of after-sales maintenance, that is, maintenance is carried out only after a failure occurs. This method not only affects the normal use of the charging pile, but also may cause inconvenience and economic losses to users. For example, when a key electrical component of the charging pile fails, the user may not be able to charge in time, affecting the travel plan.

[0004] In the related art, although there is intelligent diagnosis technology for the real-time monitoring of the life of key electrical components in the charging pile, however, this method requires collecting a large number of high-quality samples related to the life of the electrical components. The sample collection is difficult, and the model training is complex. It is difficult to effectively establish an accurate life prediction model, resulting in difficulty in accurately monitoring the life of key electrical components and giving early warnings in actual applications. Summary of the Invention

[0005] To solve the above technical problems, the first object of the present invention is to propose a monitoring method for a charging pile.

[0006] The second object of the present invention is to propose a monitoring device for a charging pile.

[0007] The technical solution adopted by the present invention is as follows:

[0008] An embodiment of the first aspect of the present invention proposes a monitoring method for a charging pile, including the following steps: determining the key components to be monitored in the charging pile and the corresponding monitoring parameters, the key components including: a power module, a gun, and a fan, and the monitoring parameters including: the life condition of the power module; the number of plug-ins and unplug-ins of the charging gun, and the number of times of over-temperature of PT1000; the working duration and rotation speed of the system fan; collecting and storing real-time data of the monitoring parameters corresponding to the key components; predicting the health condition of the key components according to the collected real-time data, and judging whether to issue a warning instruction according to the health condition; and issuing an operation and maintenance work order according to the warning instruction.

[0009] The above-mentioned monitoring method for a charging pile proposed by the present invention may further have the following additional technical features:

[0010] According to an embodiment of the present invention, the above method further includes: identifying the repair work order returned by the operation and maintenance, and issuing a data reset instruction.

[0011] According to an embodiment of the present invention, the health status of key components is predicted based on the collected real-time data, and whether to issue a warning instruction is judged according to the health status, which specifically includes: obtaining the remaining life of the power supply module; if the remaining life of the power supply module is greater than the first time threshold, it is judged that the health status of the power supply module is excellent; if the remaining life of the power supply module is less than or equal to the first time threshold and greater than the second time threshold, it is judged that the health status of the power supply module is good, and the second time threshold is less than the first time threshold; if the remaining life of the power supply module is less than or equal to the second time threshold, it is judged that the health status of the power supply module is a warning, and a warning instruction for the power supply module is issued.

[0012] According to an embodiment of the present invention, the health status of key components is predicted based on the collected data, and whether to issue a warning instruction is judged according to the health status, which specifically includes: if the number of insertions and removals of the charging gun is greater than the first number threshold, or the number of over-temperature times of the PT1000 (a resistive temperature sensor made of platinum material) is greater than the first number threshold, it is judged that the health status of the charging gun is a warning, and a warning instruction for the charging gun is issued; or, obtaining the insertion and removal weight and over-temperature weight of the charging gun, and calculating the comprehensive score of the charging gun according to the number of insertions and removals of the charging gun, the gun temperature, the insertion and removal weight, and the over-temperature weight. If the comprehensive score exceeds the threshold of the comprehensive score, it is judged that the health status of the charging gun is a warning, and a warning instruction for the charging gun is issued.

[0013] According to an embodiment of the present invention, calculating the comprehensive score of the charging gun according to the number of insertions and removals of the charging gun, the gun temperature, the insertion and removal weight, and the over-temperature weight specifically includes: obtaining the corresponding gear according to the gun temperature of the charging gun, and obtaining the corresponding gear coefficient according to the gear; standardizing the number of insertions and removals of the charging gun and the gear coefficient; calculating the comprehensive score of the charging gun by using the weighted average method according to the standardized number of insertions and removals, the gear coefficient, the insertion and removal weight, and the over-temperature weight.

[0014] According to an embodiment of the present invention, the health status of key components is predicted based on the collected data, and whether to issue a warning instruction is determined according to the health status. Specifically, it includes: dividing the rotation speed range of the fan into multiple sub-intervals, and assigning a loss coefficient to each sub-interval; obtaining the cumulative operation duration of each sub-interval; calculating the cumulative loss of each sub-interval according to the cumulative operation duration and loss coefficient of each sub-interval; calculating the total cumulative operation duration of the fan according to the cumulative loss of each sub-interval; if the total cumulative operation duration is less than the first operation duration, it is determined that the health status of the fan is good; if the total cumulative operation duration is greater than or equal to the first operation duration and less than the second operation duration, it is determined that the health status of the fan is general, and the second operation duration is greater than the first operation duration; if the total cumulative operation duration is greater than the second operation duration, it is determined that the health status of the fan is in warning, and a warning instruction for the fan is issued.

[0015] According to an embodiment of the present invention, the key components further include one or more of a DC relay, an AC contactor, a PDU (Power Distribution Unit), an emergency stop button, a display screen, and a water pump. The monitoring parameters include one or more of the number of operations of the DC relay, the number of operations of the AC contactor, the number of operations of the PDU, the number of times the emergency stop button is slapped, the screen-on time of the display screen, and the cold source operation duration of the water pump.

[0016] According to an embodiment of the present invention, the above method further includes: identifying the types of key components by obtaining the SN (Serial Number) code of the key components.

[0017] An embodiment of the second aspect of the present invention provides a monitoring device for a charging pile, including: a determination module, which is used to determine the key components to be monitored and the corresponding monitoring parameters of the charging pile. The key components include a power module, a charging gun, and a fan. The monitoring parameters include the life status of the power module; the number of plug-ins and unplug-ins of the charging gun, the number of times of over-temperature of PT1000; the working duration and rotation speed of the system fan; a collection and storage module, which is used to collect and store real-time data; a judgment module, which is used to predict the health status of key components according to the collected data, and determine whether to issue a warning instruction according to the health status; a distribution module, which is used to issue an operation and maintenance work order according to the warning instruction.

[0018] The beneficial effects of the present invention:

[0019] The present invention can monitor the health status of key components of a charging pile in real time and give early warnings in a timely manner, solve potential faults before problems occur, and ensure the stable operation of key electrical components of the charging pile through an early prevention and timely alarm mechanism, achieving predictive protection, and there is no need to collect complex samples and train models. The whole method is simple and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flowchart of a monitoring method for a charging pile according to an embodiment of the present invention;

[0021] Figure 2 is a block diagram of a monitoring device for a charging pile according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] Figure 1 is a flowchart of a monitoring method for a charging pile according to an embodiment of the present invention, as Figure 1 shown, the method includes the following steps:

[0024] S1, determine the key components to be monitored and the corresponding monitoring parameters of the charging pile. The key components include: power module, gun, and fan. The monitoring parameters include: the life status of the power module, the number of plug-ins and unplug-ins of the charging gun, the number of over-temperature times of PT1000, the working duration and rotation speed of the system fan.

[0025] In an embodiment of the present invention, in order to accurately distinguish each device when replacing the device, an SN code is added to each device. The above-mentioned monitoring method for the charging pile may further include: identifying the key to specific components by obtaining the SN code of the key components.

[0026] Specifically, the SN code setting rule meets the requirement that the device type can be identified through the SN code, reducing the time for operation and maintenance to replace devices. The ways to add SN codes to accurately identify each device include: First, bind the SN code through the MES (Manufacturing Execution System) system, that is, manually / robot arm scans the material SN code, and the MES system prompts according to the pile body position. The MES binds the SN code with the pile number and position coordinates to generate a JSON (JavaScript Object Notation, a lightweight data exchange format) file (such as {"pile number":"CZ-2024-001","position":"FAN_1","SN":"FS-123456"}); Second, the pile-end software automatically generates virtual SN codes for devices that can specifically identify address bits.

[0027] S2. Perform real-time data collection and storage on the monitoring parameters corresponding to the key components.

[0028] Specifically, collect data on the selected key components and their monitoring parameters, and develop a function for local storage. Regularly upload the stored data to the cloud through the Protobuf (a format for serializing data) protocol. Among them, the data collection of key devices has met the hardware and software requirements and can be collected by the pile end. The Protobuf protocol covers extended bits to prepare for adding key components and monitoring parameters in the future.

[0029] S3. Predict the health status of the key components based on the collected real-time data, and judge whether to issue a warning instruction according to the health status. At the same time, based on the data stored during long-term operation, the device status judgment logic and thresholds can be adjusted.

[0030] S4. Issue an operation and maintenance work order according to the warning instruction.

[0031] Furthermore, in an embodiment of the present invention, the above-mentioned monitoring method for the charging pile further includes: identifying the repair work order returned by operation and maintenance and issuing a data reset instruction.

[0032] Specifically, for the monitoring method of the above-mentioned charging pile of the present invention, to determine the key components in the charging pile and their monitoring parameters, signals can be collected and data can be stored through the pile-end software, and then the data stored for one day is transmitted to the cloud platform. The cloud platform uses big data analysis technology to process the data, establish a health status and predictive warning model for the key components, and accordingly monitor the health status of the key components in real time, and issue an early warning in advance according to the health status. The on-site service management system issues an operation and maintenance work order according to the warning instruction of the cloud platform, and the operation and maintenance personnel replace the corresponding components in advance according to the work order to avoid problems with the components affecting the use of the charging pile. After the operation and maintenance personnel replace the components, the repair work order is transmitted to the cloud platform via the on-site service management system. The cloud platform uses a large language model to identify the text work order and send a reset instruction for the replaced components to the pile end. At this time, the pile-end software resets the data of the corresponding components and starts data recording again.

[0033] The following describes in combination with specific embodiments how to predict the health status of key components based on the collected data and determine whether to issue a warning instruction according to the health status.

[0034] In an embodiment of the present invention, predicting the health status of key components based on the collected data and determining whether to issue a warning instruction according to the health status specifically includes: obtaining the life situation of the power module to obtain the remaining life of the power module; if the remaining life of the power module is greater than the first time threshold, it is determined that the health status of the power module is excellent; if the remaining life of the power module is less than or equal to the first time threshold and greater than the second time threshold, it is determined that the health status of the power module is good, and the second time threshold is less than the first time threshold; if the remaining life of the power module is less than or equal to the second time threshold, it is determined that the health status of the power module is a warning, and a warning instruction for the power module is issued.

[0035] Specifically, the remaining life of the power module is output through the total life and the consumed life reported by the power module protocol, and the health status of the module is output through threshold determination. The total life of the power module can be set to 70000h, the first time threshold can be 21000h, and the second time threshold can be 3500h. If: the remaining life of the power module > 21000h, it is determined that the health status of the power module is excellent; if: 3500h < the remaining life of the power module ≤ 21000h, it is determined that the health status of the power module is good; if: the remaining life of the power module ≤ 3500h, it is determined that the health status of the power module is a warning. When it is determined that the health status of the power module is a warning, a warning instruction for the power module is issued.

[0036] In one embodiment of the present invention, the health status of key components is predicted based on the collected data, and whether to issue a warning instruction is judged according to the health status. Specifically, if the number of plug - and - unplug operations of the charging gun is greater than the first number threshold, or the number of over - temperature occurrences of PT1000 is greater than the first number threshold, then the health status of the charging gun is judged as a warning, and a warning instruction for the charging gun is issued; or, the plug - and - unplug weight and over - temperature weight of the charging gun are obtained, and the comprehensive score of the charging gun is calculated according to the number of plug - and - unplug operations, gun temperature, plug - and - unplug weight, and over - temperature weight of the charging gun. If the comprehensive score exceeds the threshold of the comprehensive score, then the health status of the charging gun is judged as a warning, and a warning instruction for the charging gun is issued.

[0037] Further, in a specific embodiment of the present invention, calculating the comprehensive score of the charging gun according to the number of plug - and - unplug operations, gun temperature, plug - and - unplug weight, and over - temperature weight of the charging gun specifically includes: obtaining the corresponding gear according to the gun temperature of the charging gun, and obtaining the corresponding gear coefficient according to the gear; standardizing the number of plug - and - unplug operations and the gear coefficient of the charging gun; calculating the comprehensive score of the charging gun by using the weighted average method according to the standardized number of plug - and - unplug operations, gear coefficient, plug - and - unplug weight, and over - temperature weight.

[0038] Specifically, for the charging gun, monitor the CC1 signal to count the number of plug - and - unplug operations of the gun and the number of over - temperature occurrences of PT1000 (the highest current - reduction gear reached in a single charge). When any one of the monitored parameter values reaches the threshold, a warning is issued. At the same time, the comprehensive score of the charging gun is calculated by comprehensively evaluating the two parameters. If the comprehensive score exceeds the threshold of the comprehensive score, a warning is issued.

[0039] The following describes how to calculate the comprehensive score of the charging gun in combination with specific embodiments:

[0040] 1. Obtain the corresponding gear according to the gun temperature of the charging gun. As shown in Table 1 below, the gear can be 6 gears, and the gear coefficients of each gear are: gear 0: 0.6, gear 1: 0.8, gear 2: 1, gear 3: 1.2, gear 4: 1.6, gear 5: 2.

[0041] Table 1

[0042]

[0043] 2. Obtain the plug - and - unplug weight and over - temperature weight for calculation. The plug - and - unplug weight can be 45%; the over - temperature weight of PT1000 can be 55%.

[0044] 3. Standardize the processing. Since the dimension and numerical range of each parameter are different, it is necessary to standardize the parameters so that they can be compared on the same scale. For example, the standardized value = current value / maximum value.

[0045] 4. Use the weighted average method to calculate the comprehensive score of each charging gun. For example: Comprehensive score = number of plug - and - unplug operations * plug - and - unplug weight + gear coefficient * over - temperature weight.

[0046] According to an embodiment of the present invention, the health status of key components is predicted based on the collected data, and whether to issue a warning instruction is judged according to the health status, specifically including: dividing the rotation speed range of the fan into multiple sub-intervals, and assigning a loss coefficient to each sub-interval; obtaining the cumulative operation duration of each sub-interval; calculating the cumulative loss of each sub-interval according to the cumulative operation duration and loss coefficient of each sub-interval; calculating the total cumulative operation duration of the fan according to the cumulative loss of each sub-interval; if the total cumulative operation duration is less than the first operation duration, it is judged that the health status of the fan is good; if the total cumulative operation duration is greater than or equal to the first operation duration and less than the second operation duration, it is judged that the health status of the fan is average, and the second operation duration is greater than the first operation duration; if the total cumulative operation duration is greater than the second operation duration, it is judged that the health status of the fan is a warning, and a warning instruction for the fan is issued.

[0047] Specifically, the sub-intervals of the rotation speed of the fan and the corresponding loss coefficients can be divided according to Table 2 below:

[0048] Table 2

[0049]

[0050] Obtain the cumulative operation duration of the fan in each sub-interval, multiply the cumulative operation duration of each sub-interval by the loss coefficient to calculate the cumulative loss of each sub-interval, that is, for each sub-interval: cumulative loss = loss coefficient * cumulative operation duration, and add up the cumulative losses of each sub-interval to obtain the total cumulative operation duration of the fan. If the total cumulative operation duration is less than 10000h, it is judged that the health status of the fan is good; when the total cumulative operation duration is 1000h - 15000h, it is judged that the health status of the fan is average; when the total cumulative operation duration is more than 15000h, it is judged that the health status of the fan is a warning, and a warning instruction for the fan is issued.

[0051] In the embodiment of the present invention, the key components may further include one or more of a DC relay, an AC contactor, a PDU, an emergency stop button, a display screen, and a water pump, and the monitoring parameters include one or more of the action times of the DC relay, the action times of the AC contactor, the action times of the PDU, the number of taps of the emergency stop button, the screen-on time of the display screen, and the cold source operation duration of the water pump. If the action times of the DC relay, the action times of the AC contactor, the action times of the PDU, the number of taps of the emergency stop button, the screen-on time of the display screen, and the cold source operation duration of the water pump exceed the set values, corresponding warning instructions are issued. At the same time, based on the data stored during long-term operation, the device status judgment logic and thresholds can be adjusted.

[0052] In summary, according to the monitoring method of the charging pile in the embodiments of the present invention, the health status of the key components of the charging pile can be monitored in real time and early warnings can be given in a timely manner. Potential faults can be solved before problems occur. Through the early prevention and timely alarm mechanism, the stable operation of the key electrical components of the charging pile is ensured, and predictive protection is achieved. Moreover, there is no need to perform complex sample collection and model training, and the whole method is simple and efficient.

[0053] Corresponding to the above monitoring method of the charging pile, the present invention also proposes a monitoring device for the charging pile. Since the device embodiments of the present invention correspond to the above method embodiments, for the details not disclosed in the device embodiments, reference can be made to the above method embodiments, and details will not be repeated in the present invention.

[0054] Figure 2 It is a block diagram of a monitoring device for a charging pile according to an embodiment of the present invention. As Figure 2 shown, the device includes: a determination module, a collection and storage module, a judgment module, and a sending module.

[0055] The determination module is used to determine the key components to be monitored and the corresponding monitoring parameters of the charging pile. The key components include: a power supply module, a charging gun, and a fan. The monitoring parameters include: the life status of the power supply module; the number of insertions and extractions of the charging gun, the number of over-temperature occurrences of PT1000; the working duration and rotation speed of the system fan. The collection and storage module is used to collect and store real-time data. The judgment module is used to predict the health status of the key components according to the collected data and judge whether to issue a warning instruction according to the health status. The sending module is used to send an operation and maintenance work order according to the warning instruction.

[0056] According to the monitoring device of the charging pile in the embodiments of the present invention, the health status of the key components of the charging pile can be monitored in real time and early warnings can be given in a timely manner. Potential faults can be solved before problems occur. Through the early prevention and timely alarm mechanism, the stable operation of the key electrical components of the charging pile is ensured, and predictive protection is achieved. Moreover, there is no need to perform complex sample collection and model training, and the whole method is simple and efficient.

[0057] In the description of the present invention, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Any process or method description depicted in a flowchart or otherwise herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in an opposite order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0058] Those of ordinary skill in the art in this technical field can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the said program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0059] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A monitoring method for a charging pile, characterized in that, It includes the following steps: Determine the key components to be monitored by the charging pile and the corresponding monitoring parameters. The key components include: power module, charging gun, and fan; the monitoring parameters include: the life status of the power module, the number of plug-ins and unplug-ins of the charging gun, the number of over-temperature occurrences of PT1000, the working duration and rotation speed of the system fan; Collect and store the real-time data of the monitoring parameters corresponding to the key components; Predict the health status of the key components based on the collected real-time data, and determine whether to issue a warning instruction according to the health status; Issue an operation and maintenance work order according to the warning instruction.

2. The monitoring method of the charging pile according to claim 1, characterized in that It also includes: Identify the repair work order returned by operation and maintenance, and issue a data reset instruction.

3. The monitoring method of the charging pile according to claim 1, wherein, Predict the health status of the key components based on the collected real-time data, and determine whether to issue a warning instruction according to the health status. Specifically, it includes: Obtain the life status of the power module and judge the remaining life of the power module; If the remaining life of the power module is greater than the first time threshold, then judge that the health status of the power module is excellent; If the remaining life of the power module is less than or equal to the first time threshold and greater than the second time threshold, then judge that the health status of the power module is good, and the second time threshold is less than the first time threshold; If the remaining life of the power module is less than or equal to the second time threshold, then judge that the health status of the power module is in warning, and issue a warning instruction for the power module.

4. The monitoring method of the charging pile according to claim 1, characterized in that, Predict the health status of the key components based on the collected data, and determine whether to issue a warning instruction according to the health status. Specifically, it includes: If the number of plug-ins and unplug-ins of the charging gun is greater than the first number threshold, or the number of over-temperature occurrences of PT1000 is greater than the first number threshold, then judge that the health status of the charging gun is in warning, and issue a warning instruction for the charging gun; or, calculate the comprehensive score of the charging gun according to the number of plug-ins and unplug-ins of the charging gun, the gun temperature, the plug-in weight, and the over-temperature weight. If the comprehensive score exceeds the threshold of the comprehensive score, then judge that the health status of the charging gun is in warning, and issue a warning instruction for the charging gun.

5. The monitoring method of the charging pile according to claim 4, wherein, Calculate the comprehensive score of the charging gun according to the number of plug-ins and unplug-ins of the charging gun, the gun temperature, the weight of the number of plug-ins, and the over-temperature weight. Specifically, it includes: Obtain the corresponding gear according to the gun temperature of the charging gun, and obtain the corresponding gear coefficient according to the gear; Standardize the number of plug-ins and unplug-ins of the charging gun and the gear coefficient; Calculate the comprehensive score of the charging gun by using the weighted average method according to the standardized number of plug-ins and unplug-ins, gear coefficient, weight of the number of plug-ins, and over-temperature weight.

6. The monitoring method of the charging pile according to claim 1, characterized in that, Predict the health status of the key components based on the collected data, and determine whether to issue a warning instruction according to the health status. Specifically, it includes: Divide the rotation speed range of the fan into multiple sub-intervals, and assign a loss coefficient to each sub-interval; Obtain the cumulative operation duration of each sub-interval; Calculate the cumulative loss of each sub-interval according to the cumulative operation duration and loss coefficient of each sub-interval; Calculate the total cumulative operation duration of the fan according to the cumulative loss of each sub-interval; If the total cumulative operation duration is less than the first operation duration, then judge that the health status of the fan is good; If the total cumulative running duration is greater than or equal to the first running duration and less than the second running duration, the health condition of the fan is determined to be normal, where the second running duration is greater than the first running duration; If the total cumulative running duration is greater than the second running duration, the health condition of the fan is determined to be a warning, and a warning instruction for the fan is issued.

7. The monitoring method of the charging pile according to claim 1, wherein, The key components further include one or more of a DC relay, an AC contactor, a PDU, an emergency stop button, a display screen, and a water pump, and the monitoring parameters further include one or more of the number of operations of the DC relay, the number of operations of the AC contactor, the number of operations of the PDU, the number of taps of the emergency stop button, the screen-on time of the display screen, and the cold source running duration of the water pump.

8. The monitoring method of the charging pile according to claim 1, characterized in that, It further includes: Identifying the types of key components by obtaining the SN codes of the key components.

9. A monitoring device for a charging pile, characterized in that, Including: A determination module, which is used to determine the key components to be monitored by the charging pile and the corresponding monitoring parameters. The key components include a power module, a charging gun, and a fan, and the monitoring parameters include the service life of the power module; the number of insertions and removals of the charging gun, the number of over-temperature occurrences of the PT1000; the working duration and rotation speed of the system fan; An acquisition and storage module, which is used to acquire and store real-time data; A judgment module, which is used to predict the health condition of the key components according to the acquired data, and judge whether to issue a warning instruction according to the health condition; A distribution module, which is used to distribute an operation and maintenance work order according to the warning instruction.

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