Condition monitoring method for lithium-ion battery pole piece coating and recycling integrated machine
Through the monitoring terminal, the equipment cluster of the lithium-ion battery pole coating and recycling machine is monitored and clocked. The stability and reliability problems caused by equipment asynchronous equipment in the network are solved and production efficiency is improved.
Patent Information
- Application Number
- CN202410332834.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-22
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2044-03-22
AI Technical Summary
In the networking of the lithium-ion battery pole coating and recycling machine, the equipment cluster may have operational asynchronous effects, affecting the stability and reliability of the control, and thus affecting production efficiency.
Through the monitoring terminal, the working status of M machines and equipment is monitored, the working status in the equipment cluster is determined, and the clocks between N machines and equipment are resynchronized to maintain the synchronous state, improving the stability of network control and reliability.
When the working state is asynchronous, clock resynchronization is used to ensure that the working state of the equipment cluster continues to be synchronized, improving the stability and reliability of network control, thereby ensuring production efficiency.
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Figure CN118412441B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of equipment control technology, and in particular to a state monitoring method for a lithium-ion battery pole piece coating and recycling integrated machine. Background Art
[0002] The lithium-ion battery pole piece coating and recycling machine is an advanced battery manufacturing equipment, which plays a key role in the battery production process. This equipment is mainly used for coating pole pieces, that is, coating the positive and negative pole pieces of lithium-ion batteries with corresponding electrolyte materials respectively. The coating process is an important link in the battery manufacturing process, which directly affects the quality and performance of the battery. There are some problems with traditional coating equipment, such as slow coating speed, low coating accuracy, poor stability, etc. These problems limit the efficiency and quality of battery production. In order to solve these problems, the lithium-ion battery pole piece coating and recycling machine came into being. This equipment adopts advanced coating technology and automatic control system, which can realize a fast, accurate and stable coating process. At the same time, it also has a recycling function, which can process the waste and pollutants generated in the coating process and reduce the impact of battery production on the environment.
[0003] At present, with the maturity of intelligent control and Internet of Things technology, the lithium-ion battery pole piece coating and recycling machine can also be networked. This means that multiple devices can be connected together to form a device cluster. In this way, efficient control and management of the entire battery production line can be achieved. The networked device cluster can realize data sharing and communication, and improve the intelligence level of the production line. At the same time, the collaborative work between devices can also improve production efficiency and reduce production costs. Therefore, the networking technology of the lithium-ion battery pole piece coating and recycling machine is of great significance to the battery production industry.
[0004] However, in the case of networking, the device cluster may operate asynchronously, which may affect the stability and reliability of its control, thereby affecting production efficiency. Summary of the invention
[0005] The embodiment of the present application provides a state monitoring method for a lithium-ion battery pole piece coating and recycling integrated machine, which is used to improve the stability and reliability of network control, thereby ensuring production efficiency.
[0006] In order to achieve the above objectives, this application adopts the following technical solutions:
[0007] In a first aspect, a state monitoring method for a lithium-ion battery pole piece coating and recycling integrated machine is provided, which is applied to a monitoring terminal, and the method comprises: when M machine devices report their working states asynchronously to the monitoring terminal, M is an integer greater than 1, and the monitoring terminal monitors the working state of a device cluster where the M machine devices are located, and the devices in the device cluster include a lithium-ion battery pole piece coating and recycling integrated machine, and the asynchronous working state refers to the situation where the synchronous coordination between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous; if the monitoring terminal determines that N machine devices including the M machine devices have asynchronous working states by monitoring the working state of the device cluster, and N is an integer greater than M, then the monitoring terminal at least resynchronizes the clocks between the N machine devices in the device cluster.
[0008] Optionally, in the case where M machine devices report their working status asynchronously to the monitoring terminal, the method also includes: the M machine devices determine that the M machine devices belong to a device cluster; the M machine devices obtain the topological relationship between the devices included in the device cluster; the M machine devices determine that there is a coupling relationship between the M machine devices based on the topological relationship between the devices included in the device cluster, and the topological relationship is used to indicate the communication coupling relationship between the devices included in the device cluster; accordingly, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, including: if the monitoring terminal determines that there is a coupling relationship between the M machine devices, the monitoring terminal monitors the working status of the device cluster, otherwise, the monitoring terminal does not monitor the working status of the device cluster.
[0009] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working states by monitoring the working states of the device cluster, including: the monitoring terminal determines K1 machine devices that have a coupling relationship with the M machine devices based on the topological relationship between the devices included in the device cluster, wherein the K1 machine devices are a subset of the device cluster, and K1 is an integer greater than N; the monitoring terminal determines that N machine devices including the M machine devices have asynchronous working states by monitoring the working states of the K1 machine devices.
[0010] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working status by monitoring the working status of the device cluster, including: the monitoring terminal inputs the topological relationship between the devices included in the device cluster and the topological positions of the M machine devices in the topological relationship into the deep neural network model for analysis to obtain K2 machine devices output by the deep neural network model, wherein the K2 machine devices are a subset of the device cluster, and K2 is an integer greater than N; the monitoring terminal determines that N machine devices including M machine devices among the K2 machine devices have asynchronous working status by monitoring the working status of the K2 machine devices.
[0011] Optionally, the monitoring terminal monitors the working status of the device cluster, which means that the monitoring terminal instructs the devices in the device cluster to report their own clocks. If the clock deviation of two coupled machine devices in the device cluster exceeds a threshold, it means that the two coupled machine devices will have asynchronous working status.
[0012] In a second aspect, a state monitoring system for a lithium-ion battery pole piece coating and recycling integrated machine is provided, the system comprising a monitoring terminal, the system being configured as follows: when M machine devices report their working states asynchronously to the monitoring terminal, M is an integer greater than 1, the monitoring terminal monitors the working state of a device cluster where the M machine devices are located, the devices in the device cluster include a lithium-ion battery pole piece coating and recycling integrated machine, and working state asynchrony refers to a situation in which the synchronization coordination between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous; if the monitoring terminal determines that N machine devices including the M machine devices have working state asynchrony by monitoring the working state of the device cluster, and N is an integer greater than M, then the monitoring terminal at least resynchronizes the clocks between the N machine devices in the device cluster.
[0013] Optionally, in the case where M machine devices report their working status asynchronously to the monitoring terminal, the system is further configured as follows: the M machine devices determine that the M machine devices belong to a device cluster; the M machine devices obtain the topological relationship between the devices included in the device cluster; the M machine devices determine that there is a coupling relationship between the M machine devices based on the topological relationship between the devices included in the device cluster, and the topological relationship is used to indicate the communication coupling relationship between the devices included in the device cluster; accordingly, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, including: if the monitoring terminal determines that there is a coupling relationship between the M machine devices, the monitoring terminal monitors the working status of the device cluster; otherwise, the monitoring terminal does not monitor the working status of the device cluster.
[0014] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working states by monitoring the working states of the device cluster, including: the monitoring terminal determines K1 machine devices that have a coupling relationship with the M machine devices based on the topological relationship between the devices included in the device cluster, wherein the K1 machine devices are a subset of the device cluster, and K1 is an integer greater than N; the monitoring terminal determines that N machine devices including the M machine devices have asynchronous working states by monitoring the working states of the K1 machine devices.
[0015] Optionally, the monitoring terminal determines K1 machine devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster, including: the monitoring terminal determines P coupling levels of devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster and the number of devices in the device cluster, where P is an integer greater than 1, and in the P coupling levels, devices at the first coupling level are directly coupled with the M machine devices, devices at the second coupling level are indirectly coupled with the M machine devices through devices at least two coupling levels, devices at the third coupling level are indirectly coupled with the M machine devices through devices at least four coupling levels, and so on, until the devices at the Pth coupling level; the monitoring terminal determines the devices included in the P coupling levels as the K1 machine devices having a coupling relationship with the M machine devices.
[0016] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working status by monitoring the working status of the device cluster, including: the monitoring terminal inputs the topological relationship between the devices included in the device cluster and the topological positions of the M machine devices in the topological relationship into the deep neural network model for analysis to obtain K2 machine devices output by the deep neural network model, wherein the K2 machine devices are a subset of the device cluster, and K2 is an integer greater than N; the monitoring terminal determines that N machine devices including M machine devices among the K2 machine devices have asynchronous working status by monitoring the working status of the K2 machine devices.
[0017] Optionally, the topological relationship between the devices included in the device cluster refers to the beam coupling relationship between every two devices with a direct coupling relationship in the device cluster, and the beam coupling relationship between every two devices refers to one or two beam pairs used for communication between the two devices. If it is one beam pair, the beam pair is a transmitting beam and a receiving beam, which is used to indicate that the two devices are in a unidirectional coupling relationship. If it is two beam pairs, the two beam pairs are respectively a transmitting beam and a receiving beam, which are used to indicate that the two devices are in a bidirectional coupling relationship.
[0018] Optionally, the monitoring terminal resynchronizes the clocks of at least N machine devices in the device cluster, including: the monitoring terminal determines whether there is at least one master clock device among the N machine devices, wherein the master clock device can synchronize its own clock to the non-clock device managed by the master clock device; if there is at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the at least one master clock device, otherwise, if there is not at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the N machine devices; or; the monitoring terminal resynchronizes the clocks of at least N machine devices in the device cluster, including: the monitoring terminal synchronizes its own clock with the source device among the N machine devices indicated by the topological relationship between the N machine devices according to the topological relationship between the N machine devices, and instructs the source device to synchronize its own clock to the device with which it has a coupling relationship.
[0019] Optionally, the system is further configured such that: the monitoring terminal synchronizes its own clock with the clock of a wireless access network device to which the monitoring terminal accesses.
[0020] Optionally, the monitoring terminal monitors the working status of the device cluster, which means that the monitoring terminal instructs the devices in the device cluster to report their own clocks. If the clock deviation of two coupled machine devices in the device cluster exceeds a threshold, it means that the two coupled machine devices will have asynchronous working status.
[0021] In summary, the above method and system have the following technical effects:
[0022] When a small number of devices, such as M machines, have asynchronous working states, the monitoring terminal can monitor the working state of the entire device cluster to observe whether the asynchronous working state of a small number of devices will affect the entire cluster. In this way, when N machines are affected and are about to have asynchronous working states, the monitoring terminal can at least resynchronize the clocks between the N machines in the device cluster, so that the working states of the N machines can continue to be synchronized through clock resynchronization, which can improve the stability and reliability of network control and thus ensure production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 A schematic diagram of the architecture of a control system provided in an embodiment of the present application;
[0024] Figure 2 A schematic flow chart of a state monitoring method for a lithium-ion battery pole piece coating and recycling integrated machine provided in an embodiment of the present application;
[0025] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0026] The technical solutions of the embodiments of the present application can be applied to various communication systems, such as wireless network (Wi-Fi) systems, vehicle to everything (V2X) communication systems, device-to-device (D2D) communication systems, Internet of Vehicles communication systems, fourth generation (4G) mobile communication systems, such as long term evolution (LTE) systems, worldwide interoperability for microwave access (WiMAX) communication systems, fifth generation (5G) systems, such as new radio (NR) systems, and future communication systems.
[0027] The present application will present various aspects, embodiments or features around a system that may include multiple devices, components, modules, etc. It should be understood and appreciated that each system may include additional devices, components, modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in conjunction with the figures. In addition, combinations of these schemes may also be used.
[0028] In addition, in the embodiments of the present application, words such as "exemplary" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present concepts in a concrete way.
[0029] In the embodiments of the present application, "information", "signal", "message", "channel" and "signaling" can sometimes be used interchangeably. It should be noted that when the distinction between them is not emphasized, the meanings they intend to express are matched. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the distinction between them is not emphasized, the meanings they intend to express are matched. In addition, the " / " mentioned in the present application can be used to express an "or" relationship.
[0030] The network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. A person of ordinary skill in the art can appreciate that with the evolution of the network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
[0031] To facilitate understanding of the embodiments of the present application, first Figure 1 The control system shown in the figure is used as an example to describe in detail the control system applicable to the embodiments of the present application.
[0032] Figure 1 A schematic diagram of the architecture of a control system applicable to the state monitoring method of the lithium-ion battery pole piece coating and recycling integrated machine provided in the embodiment of the present application. Figure 1 As shown, the control system includes: a monitoring terminal, and a device cluster connected to the monitoring terminal for communication.
[0033] Both the monitoring terminal and the device cluster can be terminals with transceiver functions, or can be chips or chip systems set in the terminal. The terminal can also be called user equipment (UE), access terminal, subscriber unit, user station, mobile station (MS), mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. The terminal nodes in the embodiments of the present application may be mobile phones, cellular phones, smart phones, tablet computers, wireless data cards, personal digital assistants (PDAs), wireless modems, handheld devices (handsets), laptop computers, machine type communication (MTC) terminals, computers with wireless transceiver functions, virtual reality (VR) terminals, augmented reality (AR) terminals, smart home devices (e.g., refrigerators, televisions, air conditioners, electric meters, etc.), intelligent robots, robotic arms, workshop equipment, wireless terminals in unmanned driving, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in telemedicine, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, vehicle-mounted terminals, roadside units with terminal functions, etc. unit, RSU), etc., flying equipment (for example, intelligent robots, hot air balloons, drones, airplanes), etc. The terminal node of the present application may also be an on-board module, on-board module, on-board component, on-board chip or on-board unit that is built into the vehicle as one or more components or units. The terminal node may also be other devices with terminal functions. For example, the terminal node may also be a device that serves as a terminal function in D2D communication. The embodiments of the present application do not limit the device form of the terminal node. The device for realizing the function of the terminal may be a terminal node; it may also be a device that can support the terminal to realize the function, such as a chip system. The device may be installed in the terminal or used in combination with the terminal. In the embodiments of the present application, the chip system may be composed of chips, or may include chips and other discrete devices.
[0034] In the embodiment of the present application, taking the equipment in the equipment cluster including the lithium-ion battery pole piece coating and recycling integrated machine as an example, the lithium-ion battery pole piece coating and recycling integrated machine is an advanced battery manufacturing equipment, which plays a key role in the battery production process. This equipment is mainly used for coating pole pieces, that is, coating the positive and negative pole pieces of the lithium-ion battery with corresponding electrolyte materials respectively. The coating process is an important link in the battery manufacturing process, which directly affects the quality and performance of the battery. There are some problems with traditional coating equipment, such as slow coating speed, low coating accuracy, poor stability, etc., which limit the efficiency and quality of battery production. In order to solve these problems, the lithium-ion battery pole piece coating and recycling integrated machine came into being. This equipment adopts advanced coating technology and automated control system, which can realize a fast, accurate and stable coating process. At the same time, it also has a recycling function, which can process the waste and pollutants generated in the coating process and reduce the impact of battery production on the environment.
[0035] The terminal is provided with multiple antenna panels (pannels), such as M antenna panels. Each of the M antenna panels can transmit or receive multiple beams in different directions, which are called multiple beams of the antenna panel.
[0036] A beam is a special directional transmission or reception effect formed by the transmitter or receiver of a network device or terminal through an antenna array, similar to the beam formed by a flashlight converging light in one direction. Sending and receiving signals in the form of a beam can effectively increase the transmission distance of the signal. The beam used for communication between terminals can also be called a side beam.
[0037] The beam may be a wide beam, a narrow beam, or other types of beams. The beam forming technology may be a beam forming technology or other technologies. The beam forming technology may specifically be a digital beam forming technology, an analog beam forming technology, or a hybrid digital / analog beam forming technology.
[0038] Beams generally correspond to resources. For example, when performing beam measurement, the network device measures different beams through different resources, and the terminal feeds back the measured resource quality, so that the network device can know the quality of the corresponding beam. During data transmission, the beam can also be indicated by its corresponding resource. For example, the network device indicates a transmission configuration indication-state through the transmission configuration index (TCI) field in the downlink control information (DCI), and the terminal determines the beam corresponding to the reference resource based on the reference resource contained in the TCI-state.
[0039] The beam can be specifically characterized as a digital beam, an analog beam, a spatial domain filter, a spatial filter, a spatial parameter, TCI, a TCI-state, etc. A beam used to send a signal can be called a transmission beam (or Tx beam), a spatial domain transmission filter, a spatial transmission filter, a spatial domain transmission parameter, a spatial transmission parameter, etc. A beam used to receive a signal can be called a reception beam (or Rx beam), a spatial domain reception filter, a spatial reception filter, a spatial domain reception parameter, a spatial reception parameter, etc.
[0040] It can be understood that the embodiments of the present application are uniformly described using beams, but beams can be replaced by other equivalent concepts and are not limited to the concepts mentioned above.
[0041] In this control system, when a small number of devices, such as M machines, have asynchronous working states, the monitoring terminal can monitor the working state of the entire device cluster to observe whether the asynchronous working state of a small number of devices will affect the entire cluster. In this way, when N machines are affected and are about to have asynchronous working states, the monitoring terminal can at least resynchronize the clocks between the N machines in the device cluster, so that the working states of the N machines can continue to be synchronized through clock resynchronization, which can improve the stability and reliability of the network control, thereby ensuring production efficiency.
[0042] For ease of understanding, the following will combine Figure 2 The state monitoring method of the lithium-ion battery pole piece coating and recycling integrated machine provided in the embodiment of the present application is specifically described.
[0043] For example, Figure 2The present invention provides a flow chart of a method for monitoring the state of a lithium-ion battery pole piece coating and recycling machine. The method can be applied to the application function entity and geographic location information system in the above control system.
[0044] like Figure 2 As shown, the process of the state monitoring method of the lithium-ion battery pole piece coating and recycling integrated machine is as follows:
[0045] S201, when M machine devices report their working status asynchronously to the monitoring terminal, where M is an integer greater than 1, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located.
[0046] The equipment in the equipment cluster includes a lithium-ion battery pole piece coating and recycling integrated machine, and asynchronous working status refers to the situation where the synchronization between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous. For example, lithium-ion battery pole piece coating and recycling integrated machine 1 performs process A, and lithium-ion battery pole piece coating and recycling integrated machine 2 needs to cooperate with it to perform process B afterwards, then lithium-ion battery pole piece coating and recycling integrated machine 1 and lithium-ion battery pole piece coating and recycling integrated machine 2 can establish a coupling relationship, that is, a side communication connection, which can be through the beams on the antenna panels of the lithium-ion battery pole piece coating and recycling integrated machine 1 and the lithium-ion battery pole piece coating and recycling integrated machine 2 respectively set to communicate, such as lithium-ion battery pole piece coating and recycling integrated machine 1 and lithium-ion battery pole piece coating and recycling integrated machine 2 will determine the beam pair through beam measurement, such as the receiving beam and the transmitting beam with the best signal quality, the transmitting end uses the transmitting beam to perform the transmitting behavior, and the receiving end uses the receiving beam to perform the corresponding receiving behavior accordingly. In this way, when the lithium-ion battery pole piece coating and recycling integrated machine 1 completes process A at time t1, the lithium-ion battery pole piece coating and recycling integrated machine 1 can inform the lithium-ion battery pole piece coating and recycling integrated machine 2 through side communication that it has completed process A at time t1, so that the lithium-ion battery pole piece coating and recycling integrated machine 2 is ready to cooperate in executing process B at the subsequent time t2. However, since the time of the two is not synchronized due to errors, the lithium-ion battery pole piece coating and recycling integrated machine 1 may not actually complete process A at time t1, which will cause the lithium-ion battery pole piece coating and recycling integrated machine 2 to misoperate at time t2. This situation is the so-called synchronous cooperation becoming asynchronous. If the lithium-ion battery pole piece coating and recycling integrated machine 2 misoperates at time t2 and informs the lithium-ion battery pole piece coating and recycling integrated machine 1, it can also determine that the working status is asynchronous, and report it to the monitoring terminal. At this time, the lithium-ion battery pole piece coating and recycling integrated machine 1 can also determine that the working status is asynchronous based on the feedback of the lithium-ion battery pole piece coating and recycling integrated machine 2, and then report it to the monitoring terminal. In this way, M machines and equipment report the working status asynchronously to the monitoring terminal.
[0047] In the case where M machine devices report their working status asynchronously to the monitoring terminal, the M machine devices can determine that the M machine devices belong to a device cluster, such as determining that these identifiers are the same as the identifiers of the devices in the device cluster based on the respective identifiers of the M machine devices. The M machine devices can obtain the topological relationship between the devices contained in the device cluster locally. Among them, the topological relationship is used to indicate the communication coupling relationship between the devices contained in the device cluster. The topological relationship between the devices contained in the device cluster refers to the beam coupling relationship between every two devices with a direct coupling relationship in the device cluster. The beam coupling relationship between every two devices refers to one or two beam pairs used for communication between the two devices. If it is a beam pair, the beam pair is a transmitting beam and a receiving beam, which is used to indicate that the two devices are in a unidirectional coupling relationship. If it is two beam pairs, the two beam pairs are respectively a transmitting beam and a receiving beam, which are used to indicate that the two devices are in a bidirectional coupling relationship. In other words, since the devices in the device cluster can communicate sideways for networking, the topological relationship can also be represented by beam pairs. For example, among device 1, device 2, and device 3, device 1 and device 2 have two beam pairs, namely, the best transmit beam of device 1 and the best receive beam of device 2, and the best receive beam of device 1 and the best transmit beam of device 2. Device 2 and device 3 have one beam pair, namely, the best transmit beam of device 3 and the best receive beam of device 2. In this way, the topological relationship among device 1, device 2, and device 3 is: device 1↔device 2←device 3.
[0048] In this way, the M machine devices can determine that there is a coupling relationship between the M machine devices according to the topological relationship between the devices included in the device cluster. Accordingly, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, including: if the monitoring terminal determines that there is a coupling relationship between the M machine devices, the monitoring terminal monitors the working status of the device cluster, otherwise, the monitoring terminal does not monitor the working status of the device cluster. In other words, if the monitoring terminal determines that there is no coupling relationship between the M machine devices, the working status asynchrony may not spread with the coupling relationship, so there is no need to monitor the working status of the device cluster to save overhead.
[0049] S202, if the monitoring terminal determines that N machine devices including M machine devices have asynchronous working status by monitoring the working status of the device cluster, where N is an integer greater than M, the monitoring terminal resynchronizes the clocks of at least the N machine devices in the device cluster.
[0050] Method 1: The monitoring terminal can determine K1 machine devices that have a coupling relationship with M machine devices based on the topological relationship between the devices included in the device cluster, where the K1 machine devices are a subset of the device cluster, and K1 is an integer greater than N; the monitoring terminal determines that the K1 machine devices have N machine devices including the M machine devices with asynchronous working status by monitoring the working status of the K1 machine devices.
[0051] The monitoring terminal can determine the P coupling levels of devices that have a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster and the number of devices in the device cluster, where P is an integer greater than 1, and the value of P is positively correlated with the number of devices in the device cluster. In the P coupling levels, the devices in the first coupling level are directly coupled with the M machine devices, the devices in the second coupling level are indirectly coupled with the M machine devices through at least two coupling level devices, the devices in the third coupling level are indirectly coupled with the M machine devices through at least four coupling level devices, and so on, until the devices in the Pth coupling level; the monitoring terminal can determine the devices included in the P coupling levels as K1 machine devices that have a coupling relationship with the M machine devices. For example, the topological relationship is: device 1→device 2→device 3→device 4→device 5, device 1 is a device among the M machine devices that belong to the M machine devices, and the remaining devices 2-device 5 do not belong to the M machine devices. If P = 2, the device at the first coupling level is device 2, and the device at the second coupling level is device 4 or device 5. In other words, by defining different coupling levels as requiring indirect coupling, the range of K1 monitored machine devices can be larger, so as to achieve an overall evaluation of the working status of the device cluster.
[0052] Method 2: The monitoring terminal inputs the topological relationship between the devices included in the device cluster and the topological positions of the M machine devices in the topological relationship into the deep neural network model for analysis, and obtains K2 machine devices output by the deep neural network model. Among them, the K2 machine devices are a subset of the device cluster, and K2 is an integer greater than N; the monitoring terminal can monitor the working status of the K2 machine devices and determine that the working status of N machine devices including the M machine devices among the K2 machine devices is asynchronous.
[0053] Among them, the monitoring of the working status of the device cluster by the monitoring terminal means that the monitoring terminal instructs the devices in the device cluster to report their own clocks. If the clock deviation of two coupled machine devices in the device cluster exceeds the threshold, it means that the two coupled machine devices will have asynchronous working status. For example, the monitoring terminal can instruct every two coupled devices in K1 machine devices or K2 machine devices to periodically report their own clocks during the monitoring time period. In this case, if the clock deviation reported by the two coupled machine devices exceeds the threshold, it means that the two coupled machine devices will have asynchronous working status. In other words, the N machine devices include devices that have already had asynchronous working status and devices that will have asynchronous working status.
[0054] On this basis, the monitoring terminal determines whether there is at least one master clock device among the N machine devices, wherein the master clock device can synchronize its own clock to the non-clock devices managed by the master clock device; if there is at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the at least one master clock device, otherwise, if there is no at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the N machine devices. For example, among the N machine devices, device 1 is the master clock device, and devices 2-5 managed by device 1 are non-master clock devices. The monitoring terminal can synchronize its own clock with device 1, such as by using gPTP. After that, device 1 can actively complete clock synchronization with devices 2-5 according to its own clock update, such as by using gPTP. Or; the monitoring terminal resynchronizes the clocks between at least the N machine devices in the device cluster, including: the monitoring terminal synchronizes its own clock with the source device among the N machine devices indicated by the topological relationship between the N machine devices according to the topological relationship between the N machine devices, and instructs the source device to synchronize its own clock to the device with which it has a coupling relationship. Among them, the source device can be M machine devices, so that the M machine devices can synchronize their own clocks to the devices directly coupled to themselves, and these devices can synchronize their own clocks to the devices at the next level and directly coupled to themselves, thus achieving the diffusion of synchronization until at least M machine devices are synchronized.
[0055] Optionally, the method also includes: before synchronizing its own clock with at least M machine devices, the monitoring terminal synchronizes its own clock with the clock of a wireless access network device (base station) to which the monitoring terminal is connected, such as synchronizing using gPTP.
[0056] In summary, when a small number of devices, such as M machines, have asynchronous working states, the monitoring terminal can monitor the working state of the entire device cluster to observe whether the asynchronous working state of a small number of devices will affect the entire cluster. In this way, when N machines are affected and are about to have asynchronous working states, the monitoring terminal can at least resynchronize the clocks between the N machines in the device cluster, so that the working states of the N machines can continue to be synchronized through clock resynchronization, which can improve the stability and reliability of network control, thereby ensuring production efficiency.
[0057] Combination of the above Figure 2 The state monitoring method of the lithium-ion battery pole piece coating and recycling machine provided in the embodiment of the present application is described in detail. The state monitoring system of the lithium-ion battery pole piece coating and recycling machine used to execute the state monitoring method of the lithium-ion battery pole piece coating and recycling machine provided in the embodiment of the present application is described in detail below.
[0058] The system includes a monitoring terminal, which is configured as follows: when M machine devices report their working status asynchronously to the monitoring terminal, M is an integer greater than 1, the monitoring terminal monitors the working status of the equipment cluster where the M machine devices are located, the equipment in the equipment cluster includes a lithium-ion battery pole piece coating and recycling integrated machine, and the asynchronous working status refers to the situation where the synchronization coordination between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous; if the monitoring terminal determines that N machine devices including the M machine devices have asynchronous working status by monitoring the working status of the equipment cluster, and N is an integer greater than M, then the monitoring terminal at least resynchronizes the clocks between the N machine devices in the equipment cluster.
[0059] Optionally, in the case where M machine devices report their working status asynchronously to the monitoring terminal, the system is further configured as follows: the M machine devices determine that the M machine devices belong to a device cluster; the M machine devices obtain the topological relationship between the devices included in the device cluster; the M machine devices determine that there is a coupling relationship between the M machine devices based on the topological relationship between the devices included in the device cluster, and the topological relationship is used to indicate the communication coupling relationship between the devices included in the device cluster; accordingly, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, including: if the monitoring terminal determines that there is a coupling relationship between the M machine devices, the monitoring terminal monitors the working status of the device cluster; otherwise, the monitoring terminal does not monitor the working status of the device cluster.
[0060] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working states by monitoring the working states of the device cluster, including: the monitoring terminal determines K1 machine devices that have a coupling relationship with the M machine devices based on the topological relationship between the devices included in the device cluster, wherein the K1 machine devices are a subset of the device cluster, and K1 is an integer greater than N; the monitoring terminal determines that N machine devices including the M machine devices have asynchronous working states by monitoring the working states of the K1 machine devices.
[0061] Optionally, the monitoring terminal determines K1 machine devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster, including: the monitoring terminal determines P coupling levels of devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster and the number of devices in the device cluster, where P is an integer greater than 1, and in the P coupling levels, devices at the first coupling level are directly coupled with the M machine devices, devices at the second coupling level are indirectly coupled with the M machine devices through devices at least two coupling levels, devices at the third coupling level are indirectly coupled with the M machine devices through devices at least four coupling levels, and so on, until the devices at the Pth coupling level; the monitoring terminal determines the devices included in the P coupling levels as the K1 machine devices having a coupling relationship with the M machine devices.
[0062] Optionally, the monitoring terminal determines that N machine devices including M machine devices have asynchronous working status by monitoring the working status of the device cluster, including: the monitoring terminal inputs the topological relationship between the devices included in the device cluster and the topological positions of the M machine devices in the topological relationship into the deep neural network model for analysis to obtain K2 machine devices output by the deep neural network model, wherein the K2 machine devices are a subset of the device cluster, and K2 is an integer greater than N; the monitoring terminal determines that N machine devices including M machine devices among the K2 machine devices have asynchronous working status by monitoring the working status of the K2 machine devices.
[0063] Optionally, the topological relationship between the devices included in the device cluster refers to the beam coupling relationship between every two devices with a direct coupling relationship in the device cluster, and the beam coupling relationship between every two devices refers to one or two beam pairs used for communication between the two devices. If it is one beam pair, the beam pair is a transmitting beam and a receiving beam, which is used to indicate that the two devices are in a unidirectional coupling relationship. If it is two beam pairs, the two beam pairs are respectively a transmitting beam and a receiving beam, which are used to indicate that the two devices are in a bidirectional coupling relationship.
[0064] Optionally, the monitoring terminal resynchronizes the clocks of at least N machine devices in the device cluster, including: the monitoring terminal determines whether there is at least one master clock device among the N machine devices, wherein the master clock device can synchronize its own clock to the non-clock device managed by the master clock device; if there is at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the at least one master clock device, otherwise, if there is not at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the N machine devices; or; the monitoring terminal resynchronizes the clocks of at least N machine devices in the device cluster, including: the monitoring terminal synchronizes its own clock with the source device among the N machine devices indicated by the topological relationship between the N machine devices according to the topological relationship between the N machine devices, and instructs the source device to synchronize its own clock to the device with which it has a coupling relationship.
[0065] Optionally, the system is further configured such that: the monitoring terminal synchronizes its own clock with the clock of a wireless access network device to which the monitoring terminal accesses.
[0066] Optionally, the monitoring terminal monitors the working status of the device cluster, which means that the monitoring terminal instructs the devices in the device cluster to report their own clocks. If the clock deviation of two coupled machine devices in the device cluster exceeds a threshold, it means that the two coupled machine devices will have asynchronous working status.
[0067] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. For example, the electronic device may be a terminal device, or a chip (system) or other component or assembly that can be set in the terminal device. Figure 3 As shown, the electronic device 400 may include a processor 401. Optionally, the electronic device 400 may also include a memory 402 and / or a transceiver 403. The processor 401 is coupled to the memory 402 and the transceiver 403, such as being connected via a communication bus. In addition, the electronic device 400 may also be a chip, such as including the processor 401, in which case the transceiver may be an output and input interface of the chip.
[0068] Combine the following Figure 3 The components of the electronic device 400 are specifically introduced as follows:
[0069] The processor 401 is the control center of the electronic device 400, and may be a processor or a general term for multiple processing elements. For example, the processor 401 is one or more central processing units (CPUs), or may be application specific integrated circuits (ASICs), or may be one or more integrated circuits configured to implement the embodiments of the present application, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (FPGAs).
[0070] Optionally, the processor 401 can execute various functions of the electronic device 400 by running or executing the software program stored in the memory 402 and calling the data stored in the memory 402, such as executing the above Figure 2 The state monitoring method of the lithium-ion battery pole piece coating and recycling integrated machine is shown.
[0071] In a specific implementation, as an embodiment, the processor 401 may include one or more CPUs, such as Figure 3 CPU0 and CPU1 are shown in FIG.
[0072] In a specific implementation, as an embodiment, the electronic device 400 may also include multiple processors. Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer programs or instructions).
[0073] The memory 402 is used to store the software program for executing the solution of the present application, and the execution is controlled by the processor 401. The specific implementation method can refer to the above method embodiment, which will not be repeated here.
[0074] Optionally, the memory 402 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 402 may be integrated with the processor 401, or may exist independently and accessed through the interface circuit ( Figure 3 (not shown) is coupled to the processor 401, which is not specifically limited in this embodiment of the present application.
[0075] The transceiver 403 is used for communication with other electronic devices. For example, if the electronic device 400 is a terminal device, the transceiver 403 can be used to communicate with a network device, or with another terminal device. For another example, if the electronic device 400 is a network device, the transceiver 403 can be used to communicate with a terminal device, or with another network device.
[0076] Optionally, the transceiver 403 may include a receiver and a transmitter ( Figure 3 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.
[0077] Optionally, the transceiver 403 may be integrated with the processor 401, or may exist independently and communicate with the electronic device 400 through an interface circuit ( Figure 3 (not shown) is coupled to the processor 401, which is not specifically limited in this embodiment of the present application.
[0078] Understandably, Figure 3 The structure of the electronic device 400 shown in the figure does not constitute a limitation on the electronic device, and the actual electronic device may include more or fewer components than those shown in the figure, or combine certain components, or arrange the components differently.
[0079] In addition, the technical effects of the electronic device 400 can refer to the technical effects of the methods described in the above method embodiments, which will not be repeated here.
[0080] It should be understood that the processor in the embodiments of the present application may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0081] It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).
[0082] The above embodiments may be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program or instruction may be stored in a computer-readable storage medium, or may be transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program or instruction may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.
[0083] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.
[0084] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.
[0085] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0086] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0088] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0089] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0090] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0091] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.
[0092] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
Claims
1. A state monitoring method for a lithium-ion battery pole piece coating and recycling integrated machine, characterized in that: Applied to a monitoring terminal, the method comprises: In the case where M machine devices report their working status asynchronously to the monitoring terminal, M is an integer greater than 1, and the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, and the devices in the device cluster include a lithium-ion battery pole piece coating and recycling integrated machine, and the asynchronous working status refers to the situation where the synchronous coordination between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous; If the monitoring terminal determines through monitoring the working status of the device cluster that N machine devices including the M machine devices have asynchronous working status, where N is an integer greater than M, the monitoring terminal will at least resynchronize the clocks between the N machine devices in the device cluster.
2. The method according to claim 1, characterized in that In the case where the M machine devices report the working status to the monitoring terminal asynchronously, the method further includes: The M machine devices determine that the M machine devices belong to the device cluster; The M machine devices obtain the topological relationship between the devices included in the device cluster; The M machine devices determine that there is a coupling relationship between the M machine devices according to a topological relationship between the devices included in the device cluster, wherein the topological relationship is used to indicate a communication coupling relationship between the devices included in the device cluster; Accordingly, the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, including: If the monitoring terminal determines that the M machine devices have a coupling relationship, the monitoring terminal monitors the working status of the device cluster; otherwise, the monitoring terminal does not monitor the working status of the device cluster.
3. The method according to claim 2, characterized in that The monitoring terminal monitors the working status of the device cluster to determine that N machine devices including the M machine devices have asynchronous working status, including: The monitoring terminal determines K1 machine devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster, wherein the K1 machine devices are a subset of the device cluster, and K1 is an integer greater than N; The monitoring terminal determines that the N machine devices including the M machine devices among the K1 machine devices have asynchronous working states by monitoring the working states of the K1 machine devices.
4. The method according to claim 3, characterized in that: The monitoring terminal determines K1 machine devices having a coupling relationship with the M machine devices according to the topological relationship between the devices included in the device cluster, including: The monitoring terminal determines, according to the topological relationship between the devices included in the device cluster and the number of devices in the device cluster, P coupling levels of devices having a coupling relationship with the M machine devices, where P is an integer greater than 1, and in the P coupling levels, devices at the first coupling level are directly coupled to the M machine devices, devices at the second coupling level are indirectly coupled to the M machine devices through devices at least two coupling levels, devices at the third coupling level are indirectly coupled to the M machine devices through devices at least four coupling levels, and so on, up to the devices at the Pth coupling level; The monitoring terminal determines the devices included in the P coupling levels as the K1 machine devices having a coupling relationship with the M machine devices.
5. The method according to claim 2, characterized in that: The monitoring terminal monitors the working status of the device cluster to determine that N machine devices including the M machine devices have asynchronous working status, including: The monitoring terminal inputs the topological relationship between the devices included in the device cluster and the topological positions of the M machine devices in the topological relationship into the deep neural network model for analysis, and obtains K2 machine devices output by the deep neural network model, wherein the K2 machine devices are a subset of the device cluster, and K2 is an integer greater than N; The monitoring terminal determines that the N machine devices including the M machine devices among the K2 machine devices have asynchronous working states by monitoring the working states of the K2 machine devices.
6. The method according to any one of claims 3 to 5, characterized in that: The topological relationship between the devices included in the device cluster refers to the beam coupling relationship between every two devices with a direct coupling relationship in the device cluster. The beam coupling relationship between every two devices refers to one or two beam pairs used for communication between the two devices. If it is one beam pair, the beam pair is a transmitting beam and a receiving beam, which is used to indicate that the two devices are in a unidirectional coupling relationship. If it is two beam pairs, the two beam pairs are respectively a transmitting beam and a receiving beam, which are used to indicate that the two devices are in a bidirectional coupling relationship.
7. The method according to claim 1, characterized in that The monitoring terminal resynchronizes at least the clocks of the N machine devices in the device cluster, including: The monitoring terminal determines whether there is at least one master clock device among the N machine devices, wherein the master clock device can synchronize its own clock to the non-master clock devices managed by the master clock device; if there is at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the at least one master clock device; otherwise, if there is no at least one master clock device among the N machine devices, the monitoring terminal synchronizes its own clock with the N machine devices; Or: the monitoring terminal resynchronizes at least the clocks between the N machine devices in the device cluster, including: The monitoring terminal synchronizes its own clock with a source device among the N machine devices indicated by the topological relationship between the N machine devices according to the topological relationship between the N machine devices, and instructs the source device to synchronize its own clock to a device having a coupling relationship with itself.
8. The method according to claim 7, characterized in that The method further comprises: The monitoring terminal synchronizes its own clock with the clock of the wireless access network device to which the monitoring terminal accesses.
9. The method according to claim 1, characterized in that: The monitoring terminal monitors the working status of the device cluster, which means that the monitoring terminal instructs the devices in the device cluster to report their own clocks. If the clock deviation of two coupled machine devices in the device cluster exceeds a threshold, it means that the two coupled machine devices are about to become asynchronous in working status.
10. A state monitoring system for a lithium-ion battery pole piece coating and recycling machine, characterized in that: The system includes a monitoring terminal, and the system is configured as follows: In the case where M machine devices report their working status asynchronously to the monitoring terminal, M is an integer greater than 1, and the monitoring terminal monitors the working status of the device cluster where the M machine devices are located, and the devices in the device cluster include a lithium-ion battery pole piece coating and recycling integrated machine, and the asynchronous working status refers to the situation where the synchronous coordination between different lithium-ion battery pole piece coating and recycling integrated machines is asynchronous; If the monitoring terminal determines through monitoring the working status of the device cluster that N machine devices including the M machine devices have asynchronous working status, where N is an integer greater than M, the monitoring terminal will at least resynchronize the clocks between the N machine devices in the device cluster.
