Monitoring method and device based on super management platform, equipment and medium

Abstract

The invention discloses a monitoring method and device based on a super management platform, equipment and a medium. The method comprises the following steps: acquiring equipment quantization data of target equipment through the super management platform; determining a quantized data weight corresponding to the equipment quantized data through a super management platform; determining the equipment health degree of the target equipment based on the equipment quantized data and the quantized data weight through a super management platform; and monitoring the target equipment based on the equipment health degree monitoring. According to the method, the device health degree is obtained through the super device management platform based on the super device management platform, the target device can monitor the running state of the target device based on the device health degree, and the accuracy of running state monitoring is improved.

Description

Technical Field

[0001] The present application relates to the field of Internet technologies, and particularly to a monitoring method, device, equipment, and medium based on a super management platform. Background Art

[0002] With the rapid development and wide application of Internet of Things (IoT) technologies, the operation and maintenance monitoring and alarming of IoT have become increasingly challenging. Especially in an IoT linkage environment, a large amount of device data and information interaction make fault prediction and operation and maintenance more difficult.

[0003] In traditional security operation and maintenance monitoring and alarming methods, usually the cloud reaches each managed device through network communication. The device can be controlled through instructions such as device reporting, attribute acquisition, and function call, and the device business situation can be collected. The device operation data is collected in the cloud to form data such as business metrics, logs, and call chains. Then, it is necessary for operation and maintenance personnel to judge the operation status of the device based on experience. This not only has low efficiency, but also requires operation and maintenance personnel to judge the operation status of relevant devices based on experience, resulting in certain deviations.

[0004] Therefore, the existing technology still needs to be improved. Summary of the Invention

[0005] The technical problem to be solved by the present application is to provide a monitoring method, device, equipment, and medium based on a super management platform in view of the deficiencies of the existing technology.

[0006] To solve the above technical problem, in the first aspect of the present application, a monitoring method based on a super management platform is provided. Specifically, the monitoring method based on the super management platform includes:

[0007] Obtain device quantification data of a target device through a super management platform, where the device quantification data includes device operation quantification data, device instruction quantification data, and service execution quantification data;

[0008] Determine the quantification data weight corresponding to the device quantification data through the super management platform, where the quantification data weight includes an operation weight corresponding to the device operation quantification data, an instruction weight corresponding to the device instruction quantification data, and a service weight corresponding to the service execution quantification data;

[0009] Determine the device health degree of the target device based on the device quantification data and the quantification data weight through the super management platform;

[0010] Monitor the target device based on the device health degree monitoring.

[0011] The monitoring method based on a super management platform, wherein the super management platform communicates with a target device to collect the device operation data, device instruction data, and service execution data of the target device; the obtaining of the device quantization data of the target device through the super management platform specifically includes:

[0012] Read the device data of the target device through the super management platform, wherein the device data includes device operation data, device instruction data, and service execution data;

[0013] Determine the device quantization data of the target device through the super management platform based on the read device data.

[0014] The monitoring method based on a super management platform, wherein the determining of the device quantization data of the target device through the super management platform based on the read device data specifically includes:

[0015] For each device data item in the device data, score each sub-data item included in the device data item according to a preset rule to obtain the data scores of the sub-data items, wherein the device data item is device operation data, device instruction data, and service execution data;

[0016] Based on the data scores of the sub-data items, determine the device quantization data item corresponding to the device data item to obtain the device quantization data of the target device.

[0017] The monitoring method based on a super management platform, wherein the determining process of the quantization data weight specifically includes:

[0018] Obtain the default quantization data weight of the device quantization data, and obtain the historical device quantization data sequence of the similar devices corresponding to the target device;

[0019] Adjust the default quantization data weight based on the historical device quantization data sequence of the similar devices to obtain the quantization data weight corresponding to each device quantization data.

[0020] The monitoring method based on a super management platform, wherein before obtaining the device quantization data of the target device through the super management platform, the method further includes:

[0021] Detect the communication status between the target device and the super management platform;

[0022] When the communication status is normal, obtain the device quantization data of the target device through the super management platform;

[0023] When the communication state is a fault state, obtain the device operation data of the target device itself through the target device, and determine the device health of the target device based on the device operation data.

[0024] The monitoring method based on the super management platform, wherein determining the device health of the target device based on the device operation data specifically includes:

[0025] Obtain the average value of the device operation quantization data of the devices of the same type corresponding to the target device;

[0026] Determine the device operation quantization data of the target device based on the device operation data, and determine the device health of the target device based on the device operation quantization data and the average value of the device operation quantization data.

[0027] The monitoring method based on the super management platform, wherein monitoring the target device based on the device health monitoring specifically includes:

[0028] Determine the execution action of the target device based on the device health;

[0029] Control the target device to execute the execution action.

[0030] The second aspect of the present application provides a monitoring device based on the super management platform, wherein the monitoring device based on the super management platform specifically includes:

[0031] A control module, configured to obtain the device quantization data of the target device through the super management platform, determine the quantization data weight corresponding to the device quantization data through the super management platform, and determine the device health of the target device based on the device quantization data and the quantization data weight through the super management platform, wherein the device quantization data includes device operation quantization data, device instruction quantization data, and service execution quantization data; the quantization data weight includes the operation weight corresponding to the device operation quantization data, the instruction weight corresponding to the device instruction quantization data, and the service weight corresponding to the service execution quantization data;

[0032] A monitoring module, configured to monitor the target device based on the device health monitoring.

[0033] The third aspect of the present application provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in any of the above-mentioned monitoring methods based on the super management platform.

[0034] The fourth aspect of the present application provides a terminal device, which includes: a processor and a memory;

[0035] A computer-readable program executable by the processor is stored on the memory;

[0036] When the processor executes the computer-readable program, the steps in any of the above-mentioned monitoring methods based on the super management platform are implemented.

[0037] Beneficial effects: Compared with the prior art, the present application provides a monitoring method, device, equipment and medium based on a super management platform. The method includes obtaining device quantization data of a target device through the super management platform; determining a quantization data weight corresponding to the device quantization data through the super management platform; determining the device health degree of the target device based on the device quantization data and the quantization data weight through the super management platform; and monitoring the target device based on the device health degree monitoring. The present application relies on the super device management platform to obtain the device health degree through the super device management platform. The target device can monitor its own operating state based on the device health degree, improving the accuracy of operating state monitoring. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of the monitoring method based on the super management platform provided by the embodiment of the present application.

[0040] Figure 2 It is a schematic flowchart of an example of the device health degree acquisition process.

[0041] Figure 3 It is a schematic block diagram of the monitoring device based on the super management platform provided by the embodiment of the present application.

[0042] Figure 4 It is a schematic block diagram of the terminal device provided by the embodiment of the present application. Detailed Embodiments

[0043] The embodiments of the present application provide a monitoring method, device, equipment and medium based on a super management platform. To make the purpose, technical solutions and effects of the present application clearer and more definite, the following further describes the present application in detail with reference to the accompanying drawings and by way of examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] Those skilled in the art can understand that, unless specifically stated otherwise, the singular forms "a", "an", "the" and "said" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the specification of this application means the presence of the described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or their groups. It should be understood that when we say an element is "connected" or "coupled" to another element, it can be directly connected or coupled to other elements, or there may also be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The phrase "and / or" used herein includes all or any unit and all combinations of one or more of the associated listed items.

[0045] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as the general understanding of those of ordinary skill in the art to which this application belongs. It should also be understood that terms such as those defined in a general dictionary should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted with an idealized or overly formal meaning unless specifically defined as here.

[0046] It should be understood that the sequence numbers and magnitudes of the steps in this embodiment do not imply the order of execution. The execution order of each process is determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of this application.

[0047] Through research, it is found that with the rapid development and wide application of Internet of Things technology, the operation, maintenance, monitoring and alarm of the Internet of Things have become increasingly challenging. Especially in the Internet of Things linkage environment, a large amount of device data and information interaction make fault prediction and operation and maintenance more difficult.

[0048] In traditional security operation, maintenance, monitoring and alarm methods, usually the cloud reaches each managed device through network communication. The device can be controlled through instructions such as device reporting, attribute acquisition, and function call, and the device business situation is collected. The device operation data is collected in the cloud to form data such as business metrics, logs, and call chains. Then, it is necessary for operation and maintenance personnel to judge the operation status of the device based on experience. This is not only inefficient, but also requires operation and maintenance personnel to judge the operation status of relevant devices based on experience, resulting in certain deviations. At the same time, when the device network fails, the cloud data cannot accurately evaluate the device, resulting in a lag in the monitoring of the device operation status.

[0049] To solve the above problems, in the embodiments of the present application, device quantization data of a target device is obtained through a super management platform; quantization data weights corresponding to the device quantization data are determined through the super management platform; based on the device quantization data and the quantization data weights, the device health of the target device is determined through the super management platform; and the target device is monitored based on the device health monitoring. The present application relies on a super device management platform to obtain the device health through the super device management platform. The target device can monitor its own operating state based on the device health, improving the accuracy of operating state monitoring. At the same time, the target device is given the ability to monitor its own health in advance, avoiding the problem of processing stagnation caused by the device being offline.

[0050] The following further describes the application content by describing the embodiments in conjunction with the accompanying drawings.

[0051] This embodiment provides a monitoring method based on a super management platform, as Figure 1 shown, the method includes:

[0052] S10. Obtain device quantization data of a target device through a super management platform.

[0053] Specifically, the target device communicates with the super management platform, and the super management platform is used to manage the target device. That is to say, during operation, the target device communicates with the super management platform and reports its own device data to the super management platform, so that the super management platform can collect the device data of the target device. Among them, the super management platform will collect the device operation data, device instruction data, and service execution data of the target device. The device operation data may include memory occupancy, CPU occupancy, IO read and write data, and network rate, etc. The device instruction data may include the number of end-cloud interaction instructions per unit time and the number of device heartbeats per unit time, etc. The service metric data may include the number of service metric reports per unit time and the number of service rule instruction executions per unit time, etc.

[0054] Furthermore, the super device management platform provides data collection on the device side based on proxy data in different dimensions, and the collected data is stored in different data media according to the data type. Among them, the log data is stored in Loki, the metric data is stored in Mimir, and the call chain data is stored in Tempo. After the super device management platform collects the data, it extracts the data from heterogeneous data sources, asynchronously calls the data normalization service, processes different formats of data, eliminates the differences between device data and standard data, and determines the device operation data, device instruction data, and service execution data in real time based on the existing data, and evaluates the device operation data, device instruction data, and service execution data to form device quantization data.

[0055] The super management platform can collect device operation data, device instruction data, and business execution data. Thus, the device quantification data can include device operation quantification data, device instruction quantification data, and business execution quantification data. Among them, the device operation quantification data is determined based on the device operation data, the device instruction quantification data is determined based on the device instruction data, and the business execution quantification data is determined based on the business execution data. Based on this, the obtaining of the device quantification data of the target device through the super management platform specifically includes:

[0056] Reading the device data of the target device through the super management platform;

[0057] Determining the device quantification data of the target device through the super management platform based on the read device data.

[0058] Specifically, the acquisition request is sent by the target device to the super management platform for obtaining the device data of the target device collected by the super management platform. After receiving the acquisition request, the super management platform responds to the acquisition request and reads the device data of the target device. Among them, the read device data of the target device can include the historical device data of the target device and the device data collected at the response moment of responding to the acquisition request. Both the historical device data and the device data collected at the response moment include device operation data, device instruction data, and business execution data.

[0059] Furthermore, after reading the historical device data of the target device and the device data collected at the response moment of responding to the acquisition request, the device quantification data can be determined based on the historical device data and the device data collected at the response moment of responding to the acquisition request, or the device quantification data can be determined only based on the device data collected at the response moment. That is to say, the device quantification data can be determined based on the device data at the response moment, or can be determined based on the historical device data and the device data at the response moment.

[0060] In one implementation, the determining of the device quantification data of the target device through the super management platform based on the read device data specifically includes:

[0061] For each device data item in the device data, score each sub-data item included in the device data item according to a preset rule to obtain the data scores of the sub-data items;

[0062] Based on the data scores of the sub-data items, determine the device quantification data item corresponding to the device data item to obtain the device quantification data of the target device.

[0063] Specifically, the device data items in the device data include device operation data items, device instruction data items, and service execution data items. The device operation data items include memory occupancy sub-data items, CPU occupancy sub-data items, IO read / write data sub-data items, and network rate sub-data items. The device instruction data items include the number of end-cloud interaction instructions per unit time sub-data item and the number of device heartbeats per unit time sub-data item. The service metric data items include the number of service metric reports per unit time sub-data item and the number of service rule instruction executions per unit time sub-data item.

[0064] The preset rules are pre-set and used to determine the data scores of each sub-data item in each device data item. Among them, the preset rules include several rule items, and the several rule items correspond one-to-one with all the sub-data items included in all the device data items. That is to say, each sub-data item corresponds to a rule item, and this rule item is used to determine the data score of its corresponding sub-data item. Among them, the rule item of each sub-data item can be the corresponding relationship between the specific value of the sub-data item and the data score. After reading the value of each sub-data item, the data score of the sub-data item can be determined based on this value. For example, for the memory occupancy sub-data item, the rule item is the corresponding relationship between memory occupancy and the data score. After obtaining the memory occupancy, the data score of the memory occupancy is determined according to the corresponding relationship between memory occupancy and the data score, etc. Of course, different rule items can be set for each sub-data item. For example, for the memory occupancy sub-data item, the rule item can be to use the occupancy rate of memory occupancy as the data score of memory occupancy, etc. There is no specific limitation here, as long as the rule that can determine the data score of each sub-data item is acceptable, and the rule item corresponding to each sub-data item can also be configured according to the actual situation, or it can also be set according to the user's health preference for the target device.

[0065] Further, after obtaining the data scores of each sub-data item, the device quantization data of each device data item can be determined based on the data scores of all the sub-data items included in each device data item. Among them, the device quantization data can be obtained by weighting the data scores of all the sub-data items, or it can be the mean value of the data scores of all the sub-data items, or it can also be the sum of the data scores of all the sub-data items, etc. In the embodiments of the present application, the device quantization data is obtained by weighting the data scores of all the sub-data items, where the weighting coefficients of each sub-data item are pre-set, or determined according to the importance of each sub-data item, etc.

[0066] S20. Determine the quantization data weight corresponding to the device quantization data through the super management platform.

[0067] Specifically, the quantization data weights include a number of quantization data weight items, and the number of quantization data weight items corresponds one-to-one with the device data items included in the device data. That is to say, the quantization data weights include the operation weights corresponding to the device operation quantization data, the instruction weights corresponding to the device instruction quantization data, and the service weights corresponding to the service execution quantization data. Among them, the quantization data weight items of each device data item can be preset or determined according to the historical device quantization data sequence of similar devices.

[0068] Exemplarily, the process of determining the quantization data weights specifically includes:

[0069] Obtain the default quantization data weights of the device quantization data, and obtain the historical device quantization data sequence of the similar devices corresponding to the target device;

[0070] Adjust the default quantization data weights based on the historical device quantization data sequence of the similar devices to obtain the quantization data weights corresponding to each device quantization data.

[0071] Specifically, the similar devices are electronic devices communicating with the super management platform. That is to say, the super management platform also manages the similar devices to collect the device data of the similar devices. At the same time, the cause of the failure of the similar devices may also cause the failure of the target device. For example, the similar devices and the target device are electronic devices of the same device type, etc.

[0072] The historical device quantization data sequence of the similar devices can be the device quantization data of a similar device over a period of time, or the device quantization data of multiple similar devices at a moment, or the device quantization data of multiple similar devices over a period of time. The historical device quantization data sequence of the similar devices is used as the adjustment basis for the quantization data weights of the target device. After obtaining the device quantization data, the default quantization data weights can be adjusted based on the historical device quantization data sequence of the similar devices. Among them, the adjustment can be made according to a preset rule, or the default quantization data weights of the device quantization data can be adjusted through a preset weight adjustment model (such as a deep learning model, etc.).

[0073] In a specific implementation, after obtaining the historical device quantization data sequence of the same type of devices corresponding to the target device, the historical quantization data weights corresponding to the historical device quantization data can be read, and then the corresponding relationship between each historical device quantization data item in the historical device quantization data and its corresponding historical quantization data weight item can be determined. Based on this corresponding relationship, the predicted quantization data weight items corresponding to each device data item can be determined, and the default quantization data weight items can be adjusted based on the predicted quantization data weights. For example, the predicted quantization data weight items and the default quantization data weight items can be weighted to obtain the quantization data weight items of the device quantization data items, or the predicted quantization data weight items can be used as the quantization data weight items of the device quantization data items, etc.

[0074] S30. Based on the device quantization data and the quantization data weights, the device health degree of the target device is determined by the super management platform.

[0075] Specifically, after obtaining the device quantization data and the quantization data weights, the device quantization data items in the device quantization data are weighted according to their corresponding quantization data weight items to obtain the device health degree of the target device. In addition, after obtaining the device health degree of the target device, the device health degree can be stored in the device health degree sequence corresponding to the target device, so that the device health degree at the current moment can be read, and the device health degree within a period of time can also be read.

[0076] Furthermore, when obtaining the device health degree through the super management platform, communication between the super management platform and the target device is required. In actual applications, there may be a situation where the communication between the target device and the super management platform is abnormal, that is, there may be a situation where the device health degree cannot be obtained through the super management platform. For this reason, in one implementation, as Figure 2 shown, before obtaining the device quantization data of the target device through the super management platform, the method further includes:

[0077] S01. Detect the communication status between the target device and the super management platform;

[0078] S02. When the communication status is normal, obtain the device quantization data of the target device through the super management platform;

[0079] S03. When the communication status is a fault status, obtain the device operation data of the target device by the target device, and determine the device health degree of the target device based on the device operation data.

[0080] Specifically, the communication status is used to reflect the communication situation between the target device and the super management platform. When the communication status is normal, it indicates that the target device and the super management platform can communicate normally, and the target device can obtain the device health status through the super management platform. The device health status is sent to the target device in the form of a container through the distribution channel of the super device management platform. When the communication status is a fault status, it indicates that the target device and the super management platform cannot communicate, and the target device cannot obtain the device health status through the super management platform. Therefore, when the communication status is normal, the device quantization data of the target device is obtained through the super management platform. When the communication status is a fault status, the target device determines its own device health status through the health monitoring capabilities configured by itself.

[0081] Furthermore, since the target device can only read its own device operation data, when the target device determines the device health status of the target device, it can determine the device health status of the target device according to the set device operation data. Among them, determining the device health status of the target device based on the device operation data specifically includes:

[0082] Obtain the average value of the device operation quantization data of the devices of the same type corresponding to the target device;

[0083] Determine the device operation quantization data of the target device based on the device operation data, and determine the device health status of the target device based on the device operation quantization data and the average value of the device operation quantization data.

[0084] Specifically, the average value of the device operation quantization data of the devices of the same type can be pre-obtained and stored locally by the target device. That is to say, each time the target device obtains the device health status through the super management platform, it will synchronously obtain the device operation quantization data of the devices of the same type and save the obtained device operation quantization data of the devices of the same type locally. Of course, in order to avoid the device operation quantization data of the devices of the same type occupying too much storage space, the device operation quantization data of the devices of the same type for a certain period of time can be stored, and a cyclic storage method is used to replace the data to save the latest device operation quantization data of the devices of the same type.

[0085] After obtaining the average value of the device operation quantization data, the average value of the device operation quantization data can be used as an evaluation basis, and the device operation quantization data can be evaluated based on this evaluation basis to obtain the device health of the target device. For example, when the device operation quantization data is higher than the average value of the device operation quantization data, the device health is set to the first health level; conversely, when the device operation quantization data is lower than or equal to the average value of the device operation quantization data, the device health is set to the second health level. Or, obtain the difference between the device operation quantization data and the average value of the device operation quantization data, then find the target difference interval corresponding to this difference in the preset difference interval, and use the health level corresponding to the target difference interval as the device health of the target device, etc. In addition, it should be noted that when the device operation quantization data of the same type of device is not stored in the target device, the device health of the target device is set to the default health level, etc.

[0086] S40. Monitor the target device based on the device health monitoring.

[0087] Specifically, monitoring the target device based on the device health monitoring means detecting the device state of the target device. Among them, the better the device health, the better the device state of the target device, and the lower the probability of failure. Conversely, the worse the device health, the worse the device state of the target device, and the higher the probability of failure. Therefore, based on the device health, the probability of failure of the target device can be monitored, and corresponding processing can be performed based on this.

[0088] In one implementation, the monitoring the target device based on the device health monitoring specifically includes:

[0089] Determine the execution action of the target device based on the device health;

[0090] Control the target device to execute the execution action.

[0091] Specifically, the execution action is screened based on the device health. That is to say, the corresponding relationship between the device health and the execution action is preset. After obtaining the device health, the execution action that the target device needs to execute can be determined based on the corresponding relationship between the device health and the execution action. For example, operations such as device restart, network reset, and memory occupancy limit of related services. In addition, after determining the execution action that the target device needs to execute, control the target device to execute the execution action. It can also be to detect whether there is a business task being executed on the target device. If there is a business task, the target device can be controlled to execute the execution action after the business task is completed, etc.

[0092] Further, after determining the execution action of the target device based on the device health, the latest historical device health of the target device can be used as a reference to determine whether to send a notice to the operation and maintenance administrator. When a notice needs to be sent, the execution action is notified to the operation and maintenance administrator, and the operation and maintenance administrator can directly select whether to execute the execution action after receiving the corresponding notice; when a notice does not need to be sent, the target device can execute the corresponding operation by itself.

[0093] In addition, in practical applications, the monitoring of the target device based on the device health monitoring can occur in the case of a network failure. And when the monitoring of the target device based on the device health monitoring occurs during a network failure, the determined device health and the executed execution action are recorded, and the recorded device health and the executed execution action are reported to the super management platform in the form of a log after the network is restored.

[0094] In summary, this embodiment provides a monitoring method based on a super management platform. The method includes obtaining device quantization data of a target device through the super management platform; determining a quantization data weight corresponding to the device quantization data through the super management platform; determining the device health of the target device based on the device quantization data and the quantization data weight through the super management platform; and monitoring the target device based on the device health monitoring. This application relies on the super device management platform to obtain the device health through the super device management platform. The target device can monitor its own operating status based on this device health, improving the accuracy of the operating status monitoring. At the same time, by deploying self-operation and maintenance monitoring capabilities inside the target device in this embodiment of the application, the accurate device health situation can be provided in the case of being offline, enhancing the device self-adjustment ability and avoiding the risk of device service interruption in advance. At the same time, it can simplify the multi-dimensional data summary display and get rid of the limitation of relying on the experience of operation and maintenance personnel for processing.

[0095] Based on the above monitoring method based on the super management platform, this embodiment provides a monitoring device based on the super management platform, as Figure 3 shown. The monitoring device based on the super management platform specifically includes:

[0096] The control module 100 is configured to obtain the device quantization data of the target device through the super management platform, determine the quantization data weight corresponding to the device quantization data through the super management platform, and determine the device health of the target device based on the device quantization data and the quantization data weight through the super management platform, where the device quantization data includes device operation quantization data, device instruction quantization data, and service execution quantization data; the quantization data weight includes an operation weight corresponding to the device operation quantization data, an instruction weight corresponding to the device instruction quantization data, and a service weight corresponding to the service execution quantization data;

[0097] The monitoring module 200 is configured to monitor the target device based on the device health monitoring.

[0098] Based on the above monitoring method based on the super management platform, this embodiment provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the above monitoring method based on the super management platform.

[0099] Based on the above monitoring method based on the super management platform, the present application also provides a terminal device, as Figure 4 shown, which includes at least one processor 20; a display screen 21; and a memory 22, and may further include a communication interface 23 and a bus 24. Among them, the processor 20, the display screen 21, the memory 22, and the communication interface 23 can complete mutual communication through the bus 24. The display screen 21 is set to display a user guidance interface preset in the initial setting mode. The communication interface 23 can transmit information. The processor 20 can call the logical instructions in the memory 22 to execute the method in the above embodiment.

[0100] In addition, when the logical instructions in the above memory 22 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium.

[0101] The memory 22, as a computer-readable storage medium, can be set to store software programs and computer-executable programs, such as the program instructions or modules corresponding to the method in the embodiments of the present disclosure. The processor 20 executes functional applications and data processing by running the software programs, instructions, or modules stored in the memory 22, that is, implements the method in the above embodiment.

[0102] The memory 22 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 22 may include a high-speed random access memory and may also include a non-volatile memory. For example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, may also be a transient storage medium.

[0103] In addition, the specific processes of loading and executing multiple instructions in the above storage medium and the terminal device have been described in detail in the above method and will not be elaborated here one by one.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A monitoring method based on a super management platform, characterized in that: The monitoring method based on the super management platform specifically includes: Obtaining device quantitative data of the target device through the super management platform, wherein the device quantitative data includes device operation quantitative data, device instruction quantitative data and service execution quantitative data; Determine, through the super management platform, the quantitative data weight corresponding to the device quantitative data, wherein the quantitative data weight includes the operation weight corresponding to the device operation quantitative data, the instruction weight corresponding to the device instruction quantitative data, and the service weight corresponding to the service execution quantitative data; Determining, by the super management platform, the device health of the target device based on the device quantified data and the quantified data weight; The target device is monitored based on the device health monitoring.

2. The monitoring method based on the super management platform according to claim 1, characterized in that: The super management platform communicates with the target device to collect device operation data, device instruction data and service execution data of the target device; the acquisition of device quantitative data of the target device through the super management platform specifically includes: Reading device data of the target device through the super management platform, wherein the device data includes device operation data, device instruction data and service execution data; The super management platform determines the device quantification data of the target device based on the read device data.

3. The monitoring method based on the super management platform according to claim 2 is characterized in that: Determining the device quantitative data of the target device based on the read device data by the super management platform specifically includes: For each device data item in the device data, score each sub-data item included in the device data item according to a preset rule to obtain a data score for each sub-data item, wherein the device data item is device operation data, device instruction data, and service execution data; Based on the data score of each sub-data item, the device quantitative data item corresponding to the device data item is determined to obtain the device quantitative data of the target device.

4. The monitoring method based on the super management platform according to claim 1, characterized in that: The process of determining the quantized data weight specifically includes: Obtaining a default quantitative data weight of the device quantitative data, and obtaining a historical device quantitative data sequence of a similar device corresponding to the target device; The default quantitative data weight is adjusted based on the historical device quantitative data sequence of the same type of device to obtain the quantitative data weight corresponding to each device quantitative data.

5. The monitoring method based on the super management platform according to claim 1, characterized in that: Before obtaining the device quantitative data of the target device through the super management platform, the method further includes: Detecting the communication status between the target device and the super management platform; When the communication state is normal, obtaining device quantitative data of the target device through the super management platform; When the communication state is a fault state, the target device acquires its own device operation data through the target device, and determines the device health of the target device based on the device operation data.

6. The monitoring method based on the super management platform according to claim 5 is characterized in that: Determining the device health of the target device based on the device operation data specifically includes: Obtain the average value of device operation quantitative data of similar devices corresponding to the target device; The device operation quantitative data of the target device is determined based on the device operation data, and the device health of the target device is determined based on the device operation quantitative data and a mean of the device operation quantitative data.

7. The monitoring method based on the super management platform according to claim 1, characterized in that: The monitoring of the target device based on the device health monitoring specifically includes: Determining an execution action of the target device based on the device health; The target device is controlled to execute the execution action.

8. A monitoring device based on a super management platform, characterized in that: The monitoring device based on the super management platform specifically includes: A control module, used to obtain device quantitative data of a target device through a super management platform, determine a quantitative data weight corresponding to the device quantitative data through the super management platform, and determine the device health of the target device based on the device quantitative data and the quantitative data weight through the super management platform, wherein the device quantitative data includes device operation quantitative data, device instruction quantitative data, and business execution quantitative data; the quantitative data weight includes an operation weight corresponding to the device operation quantitative data, an instruction weight corresponding to the device instruction quantitative data, and a business weight corresponding to the business execution quantitative data; A monitoring module is used to monitor the target device based on the device health monitoring.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the monitoring method based on the super management platform as described in any one of claims 1-7.

10. A terminal device, characterized in that: include: Processor and memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps of the monitoring method based on the super management platform as described in any one of claims 1 to 7 are implemented.

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