Battery compartment data acquisition method and device of battery swap station, storage medium and battery swap station

CN119734609AActive Publication Date: 2025-04-01北京胜能能源科技有限公司
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Patent Information

Application Number
CN202411586071.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-07
Publication Date
2025-04-01
Estimated Expiration
2044-11-07

AI Technical Summary

Benefits of technology

[0044]根据本公开实施例的换电站的电池仓数据采集方法,应用于云平台,云平台与换电站电池仓内的传感器通信连接,其中,一个电池仓内具有多个传感器,每个传感器均具有lora模块,一个电池仓内任意两个传感器之间均通过lora模块通信,方法包括:监测目标电池仓内传感器的数据发送状态;若未接收到目标电池仓内任一传感器的采集数据,则基于优先级顺序在目标电池仓的处于数据正常发送状态的传感器中确定出主节点传感器;向目标电池仓的主节点传感器发送数据转发指令,指示主节点传感器基于传感器lora模块间的通信确定目标传感器的工作状态;其中,目标传感器为采集数据未被云平台接收到的传感器;接收主节点传感器基于数据转发指令上传的反馈信息;其中,反馈信息至少包括目标传感器的采集数据或标识目标传感器工作状态的告警信息。本申请中电池仓内传感器之间可通过lora模块相互通信,当有传感器采集的数据未被云平台接收到时,可通过确定主节点传感器来确定未被云平台接收到的传感器的工作状态,并接收主节点传感器的反馈信息,来获取目标传感器的采集数据,从而有利于提高对电池仓数据的监测质量,进而有利于通过数据监测来提高电池仓内电池的充电效率。

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Abstract

The invention relates to a battery compartment data acquisition method of a battery swap station, a battery compartment data acquisition device of the battery swap station, a storage medium and the battery swap station. The battery compartment data acquisition method of the battery swap station comprises the steps of monitoring a data sending state of a sensor in a target battery compartment; if the collected data of any sensor in the target battery compartment is not received, determining a main node sensor in the sensors in the normal data sending state of the target battery compartment based on a priority sequence; a data forwarding instruction is sent to a main node sensor of the target battery compartment, and the main node sensor is indicated to determine the working state of the target sensor based on communication between sensor lora modules; the target sensor is a sensor whose acquired data is not received by the cloud platform; feedback information uploaded by the main node sensor based on the data forwarding instruction is received; and the feedback information comprises the collection data of the target sensor or the alarm information for identifying the working state of the target sensor, so that the monitoring quality of the battery compartment data is improved.
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Description

Technical Field

[0001] The present disclosure relates to the technical field of new energy vehicles, and in particular to a battery compartment data collection method for a battery swap station, a battery compartment data collection device for a battery swap station, a storage medium, and a battery swap station. Background Art

[0002] With the rapid development of new energy vehicles, there are more and more charging and swapping stations for electric vehicles. Charging and swapping stations are energy stations that provide charging and quick replacement of power batteries for electric vehicles. In order to continue driving, electric vehicles require their electric energy to be replenished. For this reason, charging and swapping stations provide charging and swapping services for electric vehicles. Charging and swapping stations generally charge batteries in the battery compartment. Among them, the environment in the battery compartment will affect the battery charging state. Therefore, in order to improve the battery charging efficiency, it is necessary to monitor the environment in the battery compartment and the battery charging state when the battery is charging. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure hope to provide a battery compartment data collection method of a battery swap station, a battery compartment data collection device of a battery swap station, a storage medium and a battery swap station.

[0004] The technical solution of the present disclosure is achieved as follows:

[0005] In a first aspect, the present disclosure provides a method for collecting battery compartment data of a battery swap station.

[0006] The battery compartment data collection method of the battery swap station provided in the embodiment of the present disclosure is applied to a cloud platform, and the cloud platform is communicatively connected with the sensors in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate with each other through the lora module, and the method includes:

[0007] Monitor the data transmission status of the sensor in the target battery compartment;

[0008] If the collected data of any sensor in the target battery compartment is not received, a master node sensor is determined from the sensors in the target battery compartment that are in a normal data sending state based on a priority order;

[0009] Sending a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0010] Receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0011] In some embodiments, the priority order includes different types of priority orders between sensors of different types, and same type of priority orders between sensors of the same type;

[0012] The method of determining the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order includes:

[0013] Based on the priority order of different types, determining a sensor with the highest priority type among the sensors in the normal data sending state;

[0014] If there are multiple sensors of the highest priority of the type, then determining a sensor with the highest rate priority among the multiple sensors of the highest priority of the type based on the priority order of the same type;

[0015] The sensor with the highest rate priority is used as the master node sensor; wherein the sensor with the highest rate priority is the sensor with the highest communication rate with the cloud platform among the same type of sensors.

[0016] In some embodiments, the data forwarding instruction includes at least a sensor ID of a target sensor;

[0017] The instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules includes:

[0018] Instruct the master node sensor to determine the sensor whose collected data is not received by the cloud platform according to the sensor ID of the target sensor, and determine the working status of the target sensor based on the lora module communication between the master node sensor and the target sensor.

[0019] In some embodiments, after receiving the feedback information uploaded by the master node sensor based on the data forwarding instruction, the method includes:

[0020] If the received feedback information is the collected data of the target sensor, a sensor upgrade instruction is sent to the master node sensor to instruct the master node sensor to perform a function upgrade on the target sensor;

[0021] If the received feedback information is warning information identifying the working state of the target sensor, a fault warning is issued according to the warning information.

[0022] In the second aspect, the present disclosure provides a battery compartment data collection method for a battery swap station, which is applied to a master node sensor communicating with a cloud platform, wherein the cloud platform is connected to a sensor in a battery compartment of the battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the method includes:

[0023] Receive data forwarding instructions issued by the cloud platform;

[0024] Based on the data forwarding instruction and the communication between the sensor lora modules, the working state of the target sensor is determined; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0025] Upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0026] In some embodiments, determining the working state of the target sensor based on the data forwarding instruction and the communication between the sensor lora modules includes:

[0027] Based on the data forwarding instruction and the communication between the sensor lora modules, determine whether the heartbeat data sent by the target sensor is received;

[0028] If the heartbeat data sent by the target sensor is received, determining that the working state of the target sensor is a data acquisition state;

[0029] If the heartbeat data sent by the target sensor is not received, it is determined that the working state of the target sensor is a fault state.

[0030] In some embodiments, uploading feedback information to the cloud platform according to the working status of the target sensor includes:

[0031] If the working state of the target sensor is the data collection state, based on the communication between the sensor lora modules, the collected data of the target sensor is obtained, and the collected data of the target sensor is uploaded to the cloud platform;

[0032] If the working state of the target sensor is a fault state, an alarm message indicating that the target sensor is in a fault state is uploaded to the cloud platform.

[0033] In a third aspect, the present disclosure provides a battery compartment data acquisition device for a battery swap station, which is applied to a cloud platform, and the cloud platform is communicatively connected with a sensor in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the device includes:

[0034] A data monitoring module, used to monitor the data transmission status of the sensor in the target battery compartment;

[0035] A master node sensor determination module, configured to determine a master node sensor from sensors in the target battery compartment that are in a normal data sending state based on a priority order if the collected data of any sensor in the target battery compartment is not received;

[0036] An instruction sending module, used to send a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0037] An information receiving module is used to receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0038] In a fourth aspect, the present disclosure provides a battery compartment data acquisition device for a battery swap station, which is applied to a master node sensor communicating with a cloud platform, wherein the cloud platform is communicatively connected with a sensor in a battery compartment of the battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the device includes:

[0039] An instruction receiving module is used to receive data forwarding instructions issued by the cloud platform;

[0040] A working status determination module, used to determine the working status of the target sensor based on the data forwarding instruction and the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0041] An information uploading module is used to upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0042] In a fifth aspect, the present disclosure provides a computer-readable storage medium on which a battery compartment data collection program for a battery swap station is stored. When the battery compartment data collection program for the battery swap station is executed by a processor, the battery compartment data collection method for the battery swap station described in the first and second aspects above is implemented.

[0043] In a sixth aspect, the present disclosure provides a battery swap station, comprising a memory, a processor, and a battery compartment data collection program for the battery swap station stored in the memory and executable on the processor, wherein when the processor executes the battery compartment data collection program for the battery swap station, the battery compartment data collection method for the battery swap station described in the first and second aspects above is implemented.

[0044] According to the battery compartment data collection method of the battery swap station according to the embodiment of the present disclosure, it is applied to a cloud platform, and the cloud platform is communicatively connected with the sensors in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a LoRa module, and any two sensors in a battery compartment communicate with each other through the LoRa module. The method includes: monitoring the data sending status of the sensors in the target battery compartment; if the collected data of any sensor in the target battery compartment is not received, determining the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order; sending a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working status of the target sensor based on the communication between the LoRa modules of the sensors; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; receiving feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or an alarm information indicating the working status of the target sensor. In this application, the sensors in the battery compartment can communicate with each other through the lora module. When the data collected by the sensor is not received by the cloud platform, the working status of the sensor not received by the cloud platform can be determined by determining the main node sensor, and the feedback information of the main node sensor can be received to obtain the collected data of the target sensor, which is beneficial to improve the monitoring quality of the battery compartment data, and then help to improve the charging efficiency of the battery in the battery compartment through data monitoring.

[0045] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The following is a flow chart of a battery compartment data collection method for a battery swap station according to an exemplary embodiment. Figure 1 ;

[0047] Figure 2 The following is a flow chart of a battery compartment data collection method for a battery swap station according to an exemplary embodiment. Figure 2 ;

[0048] Figure 3 The structure of a battery compartment data collection device of a battery swap station is shown according to an exemplary embodiment. Figure 1 ;

[0049] Figure 4 The structure of a battery compartment data collection device of a battery swap station is shown according to an exemplary embodiment. Figure 2 . DETAILED DESCRIPTION

[0050] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0051] With the rapid development of new energy vehicles, there are more and more charging and swapping stations for electric vehicles. Charging and swapping stations are energy stations that provide charging and quick replacement of power batteries for electric vehicles. In order to continue driving, electric vehicles require their electric energy to be replenished. For this reason, charging and swapping stations provide charging and swapping services for electric vehicles. Charging and swapping stations generally charge batteries in the battery compartment. Among them, the environment in the battery compartment will affect the battery charging state. Therefore, in order to improve the battery charging efficiency, it is necessary to monitor the environment in the battery compartment and the battery charging state when the battery is charging.

[0052] In view of the above situation, the present disclosure provides a battery compartment data collection method for a battery swap station. Figure 1 The following is a flow chart of a battery compartment data collection method for a battery swap station according to an exemplary embodiment. Figure 1 .like Figure 1 As shown, the battery compartment data collection method of the battery swap station is applied to a cloud platform, and the cloud platform is connected to the sensor in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. The method includes:

[0053] Step 10, monitoring the data transmission status of the sensor in the target battery compartment;

[0054] Step 11: If the collected data of any sensor in the target battery compartment is not received, a master node sensor is determined from the sensors in the target battery compartment that are in a normal data sending state based on a priority order;

[0055] Step 12: Send a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working status of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0056] Step 13: Receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0057] In an exemplary embodiment, multiple sensors can be set in the battery compartment to collect data, such as temperature and humidity sensors, pressure sensors, voltage sensors, current sensors, etc. At the same time, a battery compartment can also be arranged with multiple sensors of the same type according to different collection positions, such as arranging multiple temperature and humidity sensors to collect temperature and humidity at different positions in the battery compartment, etc. Each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. Each sensor can be connected to the cloud platform for communication and upload the collected data to the cloud platform. When the cloud platform does not receive the collected data of any sensor in the target battery compartment, the master node sensor is determined based on the priority order from the sensors in the target battery compartment that are in a normal data sending state. Among them, the priority order is used to determine the reliability of communication between the sensor and the cloud platform. For example, a high priority indicates that the communication reliability between the sensor and the cloud platform is high, and a low priority indicates that the communication reliability between the sensor and the cloud platform is low. When determining the master node sensor, the sensor with the highest priority can be determined as the master node sensor.

[0058] In an exemplary embodiment, the master node sensor can determine the working state of the target sensor based on the communication between the sensor lora modules according to the data forwarding instruction issued by the cloud platform, and then upload feedback information to the cloud platform according to the working state of the target sensor. For example, feedback is provided on the collected data of the target sensor or alarm information indicating the working state of the target sensor.

[0059] According to the battery compartment data collection method of the battery swap station according to the embodiment of the present disclosure, it is applied to a cloud platform, and the cloud platform is communicatively connected with the sensors in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a LoRa module, and any two sensors in a battery compartment communicate with each other through the LoRa module. The method includes: monitoring the data sending status of the sensors in the target battery compartment; if the collected data of any sensor in the target battery compartment is not received, determining the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order; sending a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working status of the target sensor based on the communication between the LoRa modules of the sensors; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; receiving feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or an alarm information indicating the working status of the target sensor. In this application, the sensors in the battery compartment can communicate with each other through the lora module. When the data collected by the sensor is not received by the cloud platform, the working status of the sensor not received by the cloud platform can be determined by determining the main node sensor, and the feedback information of the main node sensor can be received to obtain the collected data of the target sensor, which is beneficial to improve the monitoring quality of the battery compartment data, and then help to improve the charging efficiency of the battery in the battery compartment through data monitoring.

[0060] In some embodiments, the priority order includes different types of priority orders between sensors of different types, and same type of priority orders between sensors of the same type;

[0061] The method of determining the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order includes:

[0062] Based on the priority order of different types, determining a sensor with the highest priority type among the sensors in the normal data sending state;

[0063] If there are multiple sensors of the highest priority of the type, then determining a sensor with the highest rate priority among the multiple sensors of the highest priority of the type based on the priority order of the same type;

[0064] The sensor with the highest rate priority is used as the master node sensor; wherein the sensor with the highest rate priority is the sensor with the highest communication rate with the cloud platform among the same type of sensors.

[0065] In an exemplary embodiment, based on the priority order of different types, a sensor with the highest type priority is determined among the sensors in the normal data sending state. For example, the temperature and humidity sensor has better communication reliability than the pressure sensor, voltage sensor, and current sensor, so the type priority of the temperature and humidity sensor is the highest, that is, the highest type priority. If there are multiple temperature and humidity sensors in the battery compartment, a sensor with the highest rate priority is determined among the temperature and humidity sensors. For example, the communication rate of temperature and humidity sensor A is higher than that of other temperature and humidity sensors, so temperature and humidity sensor A is the sensor with the highest rate priority, that is, the sensor with the highest rate priority. At this time, temperature and humidity sensor A is the master node sensor. Then the working status of the target sensor can be determined by the master node sensor. If there is one temperature and humidity sensor in the battery compartment, then the temperature and humidity sensor is the master node sensor.

[0066] In some embodiments, the data forwarding instruction includes at least a sensor ID of a target sensor;

[0067] The instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules includes:

[0068] Instruct the master node sensor to determine the sensor whose collected data is not received by the cloud platform according to the sensor ID of the target sensor, and determine the working status of the target sensor based on the lora module communication between the master node sensor and the target sensor.

[0069] In an exemplary embodiment, the data forwarding instruction issued by the cloud platform includes the sensor ID of the sensor whose collected data is not received by the cloud platform, and the master node sensor can find the sensor according to the sensor ID of the sensor whose collected data is not received by the cloud platform. Then, based on the lora module communication between the master node sensor and the target sensor, the working status of the target sensor is determined.

[0070] In some embodiments, after receiving the feedback information uploaded by the master node sensor based on the data forwarding instruction, the method includes:

[0071] If the received feedback information is the collected data of the target sensor, a sensor upgrade instruction is sent to the master node sensor to instruct the master node sensor to perform a function upgrade on the target sensor;

[0072] If the received feedback information is warning information identifying the working state of the target sensor, a fault warning is issued according to the warning information.

[0073] In an exemplary embodiment, the cloud platform receives feedback information uploaded by the main sensor. If the feedback information is the collected data of the target sensor, it means that the target sensor can still collect data normally, but there is a problem with the communication with the cloud platform. At this time, the problem can be solved by upgrading the function of the sensor to enhance the communication transmission function between the sensor and the cloud platform. If the received feedback information is an alarm information identifying the working status of the target sensor, it means that the target sensor has a fault and needs to be repaired or replaced. A fault alarm can be issued according to the alarm information.

[0074] In an exemplary embodiment, during the remote upgrade process, a sensor with 4G or 5G can be used as a master node sensor. After the master node sensor receives the download instruction from the cloud platform, the cloud platform sends the data to the flash of the master node sensor. The master node sensor sends the defined upgrade instruction to the target sensor through the control channel. For example, the temperature and humidity probe is set to 1, and the pressure sensor is set to 2.

[0075] If it is set to 1, after the target sensor (temperature and humidity sensor) receives the command (encryption can be used to enhance security during transmission), it replies with a confirmation to start the upgrade command. After the master node sensor receives the command from the target sensor, it starts sending data to the temperature and humidity sensor through the data channel. After receiving the upgrade file, the temperature and humidity sensor starts upgrading and sends a command to inform the master sensor that the upgrade is complete.

[0076] The present invention provides a method for collecting battery compartment data of a battery swap station. Figure 2 The following is a flow chart of a battery compartment data collection method for a battery swap station according to an exemplary embodiment. Figure 2 .like Figure 2 As shown, the battery compartment data collection method of the battery swap station is applied to the master node sensor communicating with the cloud platform, wherein the cloud platform is connected to the sensor in the battery compartment of the battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the method includes:

[0077] Step 20: Receive data forwarding instructions issued by the cloud platform;

[0078] Step 21: Based on the data forwarding instruction and the communication between the sensor lora modules, determine the working state of the target sensor; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0079] Step 22: Upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0080] In an exemplary embodiment, multiple sensors can be set in the battery compartment to collect data, such as temperature and humidity sensors, pressure sensors, voltage sensors, current sensors, etc. At the same time, a battery compartment can also be arranged with multiple sensors of the same type according to different collection positions, such as arranging multiple temperature and humidity sensors to collect temperature and humidity at different positions in the battery compartment, etc. Each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. Each sensor can be connected to the cloud platform for communication and upload the collected data to the cloud platform. When the cloud platform does not receive the collected data of any sensor in the target battery compartment, the master node sensor is determined based on the priority order from the sensors in the target battery compartment that are in a normal data sending state. Among them, the priority order is used to determine the reliability of communication between the sensor and the cloud platform. For example, a high priority indicates that the communication reliability between the sensor and the cloud platform is high, and a low priority indicates that the communication reliability between the sensor and the cloud platform is low. When determining the master node sensor, the sensor with the highest priority can be determined as the master node sensor.

[0081] In an exemplary embodiment, the master node sensor receives a data forwarding instruction issued by the cloud platform. Based on the data forwarding instruction and the communication between the sensor lora modules, the working state of the target sensor is determined. According to the working state of the target sensor, feedback information is uploaded to the cloud platform; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working state of the target sensor, so that the cloud platform can receive the collected data of the target sensor in time and grasp the working state of the target sensor, which is conducive to improving the monitoring quality of the battery compartment data, and further conducive to improving the charging efficiency of the battery in the battery compartment through data monitoring.

[0082] In some embodiments, determining the working state of the target sensor based on the data forwarding instruction and the communication between the sensor lora modules includes:

[0083] Based on the data forwarding instruction and the communication between the sensor lora modules, determine whether the heartbeat data sent by the target sensor is received;

[0084] If the heartbeat data sent by the target sensor is received, determining that the working state of the target sensor is a data acquisition state;

[0085] If the heartbeat data sent by the target sensor is not received, it is determined that the working state of the target sensor is a fault state.

[0086] In an exemplary embodiment, the sensors in the battery compartment can send heartbeat data to each other through the sensor lora module. If the master node sensor can receive the heartbeat data sent by the target sensor, it means that the target sensor is in a normal data collection state and the sensor itself is not completely faulty. If the heartbeat data sent by the target sensor is not received, it is determined that the target sensor itself is faulty, so that the working status of the target sensor can be grasped in time.

[0087] In some embodiments, uploading feedback information to the cloud platform according to the working status of the target sensor includes:

[0088] If the working state of the target sensor is the data collection state, based on the communication between the sensor lora modules, the collected data of the target sensor is obtained, and the collected data of the target sensor is uploaded to the cloud platform;

[0089] If the working state of the target sensor is a fault state, an alarm message indicating that the target sensor is in a fault state is uploaded to the cloud platform.

[0090] In an exemplary embodiment, if it is determined that the working state of the target sensor is a data collection state, the collection data of the target sensor is obtained based on the communication between the sensor lora modules. Wherein, the sensor lora module includes a control channel and a data channel.

[0091] The method of acquiring the collected data of the target sensor based on the communication between the sensor lora modules includes:

[0092] Based on the sensor ID, a control channel instruction is sent to the target sensor, instructing the target sensor to send the collected data to the master node sensor through the data channel.

[0093] After receiving the collected data, the master node sensor uploads the collected data to the cloud platform and sends a reset instruction to the target sensor, instructing the target sensor to perform a reset operation.

[0094] If the target sensor can continue to upload data to the cloud platform after being reset, then the target sensor continues to work normally. If it fails after being reset, the master node sensor can send a warning to the cloud platform, and it is necessary to detect whether B has other problems, and relevant personnel need to investigate.

[0095] The present invention provides a battery compartment data collection device for a battery swap station. Figure 3 The structure of a battery compartment data collection device of a battery swap station is shown according to an exemplary embodiment. Figure 1 .like Figure 3As shown, the battery compartment data acquisition device of the battery swap station is applied to the cloud platform, and the cloud platform is connected to the sensor in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. The device includes:

[0096] A data monitoring module 30, used to monitor the data transmission status of the sensor in the target battery compartment;

[0097] A master node sensor determination module 31 is used to determine the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on a priority order if the collected data of any sensor in the target battery compartment is not received;

[0098] The instruction sending module 32 is used to send a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0099] The information receiving module 33 is used to receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

[0100] In an exemplary embodiment, multiple sensors can be set in the battery compartment to collect data, such as temperature and humidity sensors, pressure sensors, voltage sensors, current sensors, etc. At the same time, a battery compartment can also be arranged with multiple sensors of the same type according to different collection positions, such as arranging multiple temperature and humidity sensors to collect temperature and humidity at different positions in the battery compartment, etc. Each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. Each sensor can be connected to the cloud platform for communication and upload the collected data to the cloud platform. When the cloud platform does not receive the collected data of any sensor in the target battery compartment, the master node sensor is determined based on the priority order from the sensors in the target battery compartment that are in a normal data sending state. Among them, the priority order is used to determine the reliability of communication between the sensor and the cloud platform. For example, a high priority indicates that the communication reliability between the sensor and the cloud platform is high, and a low priority indicates that the communication reliability between the sensor and the cloud platform is low. When determining the master node sensor, the sensor with the highest priority can be determined as the master node sensor.

[0101] In an exemplary embodiment, the master node sensor can determine the working state of the target sensor based on the communication between the sensor lora modules according to the data forwarding instruction issued by the cloud platform, and then upload feedback information to the cloud platform according to the working state of the target sensor. For example, feedback is provided on the collected data of the target sensor or alarm information indicating the working state of the target sensor.

[0102] According to the battery compartment data acquisition device of the battery swap station according to the embodiment of the present disclosure, it is applied to a cloud platform, and the cloud platform is communicatively connected with the sensors in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a LoRa module, and any two sensors in a battery compartment communicate with each other through the LoRa module, and the device is used to: monitor the data sending status of the sensors in the target battery compartment; if the collected data of any sensor in the target battery compartment is not received, determine the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order; send a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working status of the target sensor based on the communication between the LoRa modules of the sensors; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or an alarm information indicating the working status of the target sensor. In this application, the sensors in the battery compartment can communicate with each other through the lora module. When the data collected by the sensor is not received by the cloud platform, the working status of the sensor not received by the cloud platform can be determined by determining the main node sensor, and the feedback information of the main node sensor can be received to obtain the collected data of the target sensor, which is beneficial to improve the monitoring quality of the battery compartment data, and then help to improve the charging efficiency of the battery in the battery compartment through data monitoring.

[0103] In some embodiments, the priority order includes different types of priority orders between sensors of different types, and same type of priority orders between sensors of the same type;

[0104] The master node sensor determination module 31 is used to

[0105] Based on the priority order of different types, determining a sensor with the highest priority type among the sensors in the normal data sending state;

[0106] If there are multiple sensors of the highest priority of the type, then determining a sensor with the highest rate priority among the multiple sensors of the highest priority of the type based on the priority order of the same type;

[0107] The sensor with the highest rate priority is used as the master node sensor; wherein the sensor with the highest rate priority is the sensor with the highest communication rate with the cloud platform among the same type of sensors.

[0108] In an exemplary embodiment, based on the priority order of different types, a sensor with the highest type priority is determined among the sensors in the normal data sending state. For example, the temperature and humidity sensor has better communication reliability than the pressure sensor, voltage sensor, and current sensor, so the type priority of the temperature and humidity sensor is the highest, that is, the highest type priority. If there are multiple temperature and humidity sensors in the battery compartment, a sensor with the highest rate priority is determined among the temperature and humidity sensors. For example, if the communication rate of temperature and humidity sensor A is higher than that of other temperature and humidity sensors, then temperature and humidity sensor A is the sensor with the highest rate priority, that is, the sensor with the highest rate priority. At this time, temperature and humidity sensor A is the master node sensor. The working status of the target sensor can then be determined through the master node sensor.

[0109] In some embodiments, the data forwarding instruction includes at least a sensor ID of a target sensor;

[0110] The instruction sending module 32 is used to

[0111] Instruct the master node sensor to determine the sensor whose collected data is not received by the cloud platform according to the sensor ID of the target sensor, and determine the working status of the target sensor based on the lora module communication between the master node sensor and the target sensor.

[0112] In an exemplary embodiment, the data forwarding instruction issued by the cloud platform includes the sensor ID of the sensor whose collected data is not received by the cloud platform, and the master node sensor can find the sensor according to the sensor ID of the sensor whose collected data is not received by the cloud platform. Then, based on the lora module communication between the master node sensor and the target sensor, the working status of the target sensor is determined.

[0113] In some embodiments, after receiving the feedback information uploaded by the master node sensor based on the data forwarding instruction, the instruction sending module 32 is used to

[0114] If the received feedback information is the collected data of the target sensor, a sensor upgrade instruction is sent to the master node sensor to instruct the master node sensor to perform a function upgrade on the target sensor;

[0115] If the received feedback information is warning information identifying the working state of the target sensor, a fault warning is issued according to the warning information.

[0116] In an exemplary embodiment, the cloud platform receives feedback information uploaded by the main sensor. If the feedback information is the collected data of the target sensor, it means that the target sensor can still collect data normally, but there is a problem with the communication with the cloud platform. At this time, the problem can be solved by upgrading the function of the sensor to enhance the communication transmission function between the sensor and the cloud platform. If the received feedback information is an alarm information identifying the working status of the target sensor, it means that the target sensor has a fault and needs to be repaired or replaced. A fault alarm can be issued according to the alarm information.

[0117] In an exemplary embodiment, during the remote upgrade process, a sensor with 4G or 5G can be used as a master node sensor. After the master node sensor receives the download instruction from the cloud platform, the cloud platform sends the data to the flash of the master node sensor. The master node sensor sends the defined upgrade instruction to the target sensor through the control channel. For example, the temperature and humidity probe is set to 1, and the pressure sensor is set to 2.

[0118] If it is set to 1, after the target sensor (temperature and humidity sensor) receives the command (encryption can be used to enhance security during transmission), it replies with a confirmation to start the upgrade command. After the master node sensor receives the command from the target sensor, it starts sending data to the temperature and humidity sensor through the data channel. After receiving the upgrade file, the temperature and humidity sensor starts upgrading and sends a command to inform the master sensor that the upgrade is complete.

[0119] The present invention provides a battery compartment data collection device for a battery swap station. Figure 4 The structure of a battery compartment data collection device of a battery swap station is shown according to an exemplary embodiment. Figure 2 .like Figure 4 As shown, the battery compartment data acquisition device of the battery swap station is applied to the master node sensor communicating with the cloud platform, wherein the cloud platform is connected to the sensor in the battery compartment of the battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the device includes:

[0120] The instruction receiving module 40 is used to receive the data forwarding instruction issued by the cloud platform;

[0121] A working state determination module 41 is used to determine the working state of the target sensor based on the data forwarding instruction and the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform;

[0122] The information uploading module 42 is used to upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information indicating the working status of the target sensor.

[0123] In an exemplary embodiment, multiple sensors can be set in the battery compartment to collect data, such as temperature and humidity sensors, pressure sensors, voltage sensors, current sensors, etc. At the same time, a battery compartment can also be arranged with multiple sensors of the same type according to different collection positions, such as arranging multiple temperature and humidity sensors to collect temperature and humidity at different positions in the battery compartment, etc. Each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. Each sensor can be connected to the cloud platform for communication and upload the collected data to the cloud platform. When the cloud platform does not receive the collected data of any sensor in the target battery compartment, the master node sensor is determined based on the priority order from the sensors in the target battery compartment that are in a normal data sending state. Among them, the priority order is used to determine the reliability of communication between the sensor and the cloud platform. For example, a high priority indicates that the communication reliability between the sensor and the cloud platform is high, and a low priority indicates that the communication reliability between the sensor and the cloud platform is low. When determining the master node sensor, the sensor with the highest priority can be determined as the master node sensor.

[0124] In an exemplary embodiment, the master node sensor receives a data forwarding instruction issued by the cloud platform. Based on the data forwarding instruction and the communication between the sensor lora modules, the working state of the target sensor is determined. According to the working state of the target sensor, feedback information is uploaded to the cloud platform; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working state of the target sensor, so that the cloud platform can receive the collected data of the target sensor in time and grasp the working state of the target sensor, which is conducive to improving the monitoring quality of the battery compartment data, and further conducive to improving the charging efficiency of the battery in the battery compartment through data monitoring.

[0125] In some embodiments, the working state determination module 41 is used to

[0126] Based on the data forwarding instruction and the communication between the sensor lora modules, determine whether the heartbeat data sent by the target sensor is received;

[0127] If the heartbeat data sent by the target sensor is received, determining that the working state of the target sensor is a data acquisition state;

[0128] If the heartbeat data sent by the target sensor is not received, it is determined that the working state of the target sensor is a fault state.

[0129] In an exemplary embodiment, the sensors in the battery compartment can send heartbeat data to each other through the sensor lora module. If the master node sensor can receive the heartbeat data sent by the target sensor, it means that the target sensor is in a normal data collection state and the sensor itself is not completely faulty. If the heartbeat data sent by the target sensor is not received, it is determined that the target sensor itself is faulty, so that the working status of the target sensor can be grasped in time.

[0130] In some embodiments, the information uploading module 42 is used to

[0131] If the working state of the target sensor is the data collection state, based on the communication between the sensor lora modules, the collected data of the target sensor is obtained, and the collected data of the target sensor is uploaded to the cloud platform;

[0132] If the working state of the target sensor is a fault state, an alarm message indicating that the target sensor is in a fault state is uploaded to the cloud platform.

[0133] In an exemplary embodiment, if it is determined that the working state of the target sensor is a data collection state, the collection data of the target sensor is obtained based on the communication between the sensor lora modules. Wherein, the sensor lora module includes a control channel and a data channel.

[0134] The method of acquiring the collected data of the target sensor based on the communication between the sensor lora modules includes:

[0135] Based on the sensor ID, a control channel instruction is sent to the target sensor, instructing the target sensor to send the collected data to the master node sensor through the data channel.

[0136] After receiving the collected data, the master node sensor uploads the collected data to the cloud platform and sends a reset instruction to the target sensor, instructing the target sensor to perform a reset operation.

[0137] If the target sensor can continue to upload data to the cloud platform after being reset, then the target sensor continues to work normally. If it fails after being reset, the master node sensor can send a warning to the cloud platform, and it is necessary to detect whether B has other problems, and relevant personnel need to investigate.

[0138] The present disclosure provides a computer-readable storage medium, on which a battery compartment data collection program of a battery swap station is stored. When the battery compartment data collection program of the battery swap station is executed by a processor, the battery compartment data collection method of the battery swap station described in the above embodiments is implemented.

[0139] The present disclosure provides a battery swap station, including a memory, a processor, and a battery compartment data collection program for the battery swap station stored in the memory and executable on the processor. When the processor executes the battery compartment data collection program for the battery swap station, the battery compartment data collection method for the battery swap station described in the above-mentioned embodiments is implemented.

[0140] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0141] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0142] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0143] In the description of the present disclosure, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present disclosure.

[0144] In addition, the terms "first", "second", etc. used in the embodiments of the present disclosure are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the embodiments. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of the present disclosure may explicitly or implicitly indicate that at least one of the features is included in the embodiment. In the description of the present disclosure, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0145] In the present disclosure, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "connected" and "fixed" etc. appearing in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present disclosure can be understood according to the specific implementation situation.

[0146] In the present disclosure, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0147] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A battery compartment data collection method for a battery swap station, characterized in that: Applied to a cloud platform, the cloud platform is connected to the sensor in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. The method includes: Monitor the data transmission status of the sensor in the target battery compartment; If the collected data of any sensor in the target battery compartment is not received, a master node sensor is determined from the sensors in the target battery compartment that are in a normal data sending state based on a priority order; Sending a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; Receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

2. The battery compartment data collection method of the battery swap station according to claim 1 is characterized in that: The priority order includes different priority orders between different types of sensors and same priority orders between the same type of sensors; The method of determining the master node sensor from the sensors in the target battery compartment that are in a normal data sending state based on the priority order includes: Based on the priority order of different types, determining a sensor with the highest priority type among the sensors in the normal data sending state; If there are multiple sensors of the highest priority of the type, then determining a sensor with the highest rate priority among the multiple sensors of the highest priority of the type based on the priority order of the same type; The sensor with the highest rate priority is used as the master node sensor; wherein the sensor with the highest rate priority is the sensor with the highest communication rate with the cloud platform among the same type of sensors.

3. The battery compartment data collection method of the battery swap station according to claim 1 is characterized in that: The data forwarding instruction at least includes a sensor ID of a target sensor; The instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules includes: Instruct the master node sensor to determine the sensor whose collected data is not received by the cloud platform according to the sensor ID of the target sensor, and determine the working status of the target sensor based on the lora module communication between the master node sensor and the target sensor.

4. The battery compartment data collection method of the battery swap station according to claim 1, characterized in that: After receiving the feedback information uploaded by the master node sensor based on the data forwarding instruction, the method includes: If the received feedback information is the collected data of the target sensor, a sensor upgrade instruction is sent to the master node sensor to instruct the master node sensor to perform a function upgrade on the target sensor; If the received feedback information is warning information identifying the working state of the target sensor, a fault warning is issued according to the warning information.

5. A battery compartment data collection method for a battery swap station, characterized in that: A master node sensor used for communicating with a cloud platform, wherein the cloud platform is connected to a sensor in a battery compartment of a battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module, and the method includes: Receive data forwarding instructions issued by the cloud platform; Based on the data forwarding instruction and the communication between the sensor lora modules, the working state of the target sensor is determined; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; Upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

6. The battery compartment data collection method of the battery swap station according to claim 5, characterized in that: Based on the data forwarding instruction and the communication between the sensor lora modules, determining the working state of the target sensor includes: Based on the data forwarding instruction and the communication between the sensor lora modules, determine whether the heartbeat data sent by the target sensor is received; If the heartbeat data sent by the target sensor is received, determining that the working state of the target sensor is a data acquisition state; If the heartbeat data sent by the target sensor is not received, it is determined that the working state of the target sensor is a fault state.

7. The battery compartment data collection method of the battery swap station according to claim 6, characterized in that: The uploading feedback information to the cloud platform according to the working status of the target sensor includes: If the working state of the target sensor is the data collection state, based on the communication between the sensor lora modules, the collected data of the target sensor is obtained, and the collected data of the target sensor is uploaded to the cloud platform; If the working state of the target sensor is a fault state, an alarm message indicating that the target sensor is in a fault state is uploaded to the cloud platform.

8. A battery compartment data acquisition device for a battery swap station, characterized in that: Applied to a cloud platform, the cloud platform is connected to the sensors in the battery compartment of the battery swap station, wherein a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. The device includes: A data monitoring module, used to monitor the data transmission status of the sensor in the target battery compartment; A master node sensor determination module, configured to determine a master node sensor from sensors in the target battery compartment that are in a normal data sending state based on a priority order if the collected data of any sensor in the target battery compartment is not received; An instruction sending module, used to send a data forwarding instruction to the master node sensor of the target battery compartment, instructing the master node sensor to determine the working state of the target sensor based on the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; An information receiving module is used to receive feedback information uploaded by the master node sensor based on the data forwarding instruction; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

9. A battery compartment data acquisition device for a battery swap station, characterized in that: A master node sensor used for communicating with a cloud platform, wherein the cloud platform is connected to a sensor in a battery compartment of a battery swap station, a battery compartment has multiple sensors, each sensor has a lora module, and any two sensors in a battery compartment communicate through the lora module. The device includes: An instruction receiving module is used to receive data forwarding instructions issued by the cloud platform; A working status determination module, used to determine the working status of the target sensor based on the data forwarding instruction and the communication between the sensor lora modules; wherein the target sensor is a sensor whose collected data is not received by the cloud platform; An information uploading module is used to upload feedback information to the cloud platform according to the working status of the target sensor; wherein the feedback information at least includes the collected data of the target sensor or the alarm information identifying the working status of the target sensor.

10. A computer-readable storage medium, characterized in that: A battery compartment data collection program of a battery swap station is stored thereon. When the battery compartment data collection program of the battery swap station is executed by a processor, the battery compartment data collection method of a battery swap station described in any one of claims 1-7 is implemented.

11. A battery swap station, characterized in that: It includes a memory, a processor, and a battery compartment data collection program for a battery swap station stored in the memory and executable on the processor. When the processor executes the battery compartment data collection program for the battery swap station, it implements the battery compartment data collection method for the battery swap station described in any one of claims 1-7.

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