Self-defined monitoring low-power-consumption abnormal message reminding method and system, cloud server and storage medium
By using a custom low-power anomaly message alerting method for monitoring, the problem of server fault information being easily overwritten is solved, achieving low-power, long-standby message alerts, which is suitable for cloud service scenarios requiring long-term monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-03-10
AI Technical Summary
In existing technologies, there is a lack of methods to accurately push fault information when a server fails, which makes the information easy to be overwritten. In addition, existing notification methods such as mobile APP push notifications consume a lot of power or SMS and emails require users to check frequently, making it easy to miss notifications.
By using a custom low-power anomaly message alert method, task information of the target device is acquired, categorized, and stored. Anomalies are monitored in real time, and notification content is constructed to wake up the terminal to send a message alert. A simple reminder is displayed on the low-power device, and the user can obtain details after confirmation.
It achieves message notification with extremely low power consumption, long standby time, and easy deployment while ensuring the timeliness and reliability of notifications, making it suitable for cloud service scenarios requiring long-term monitoring.
Smart Images
Figure CN121644304A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of communication, in particular to a low-power-consumption abnormal message reminding method and system of self-defined monitoring, a cloud server and a computer readable storage medium. BACKGROUND
[0002] In modern life, many people rely on various network services, which usually run normally, but occasionally there will be problems, such as server downtime or build failure, at which time the user needs to be notified of the technology for processing.
[0003] The existing information notification methods mainly include mobile phone APP push and short message (or email), but mobile phone APP push requires always being connected to the network, consumes power quickly and is not suitable for long standby; and short message or email requires the user to check the mobile phone frequently, which is easy to miss.
[0004] Therefore, the prior art still needs to be improved and developed. SUMMARY
[0005] The main purpose of the present application is to provide a low-power-consumption abnormal message reminding method and system of self-defined monitoring, a cloud server and a computer readable storage medium, which aims to solve the problem that in the prior art, when the system occasionally fails and needs to notify the user, there is no method for accurately pushing the fault information, resulting in the problem that the fault information is easily covered.
[0006] To achieve the above purpose, the present application provides a low-power-consumption abnormal message reminding method of self-defined monitoring, which comprises the following steps: Obtain all task information of a plurality of target devices, classify and store all the task information according to different task types to obtain corresponding storage information; Real-time monitor all the storage information, if there is an abnormal storage information, construct corresponding abnormal notification content and detailed state information according to the corresponding storage information, and send the abnormal notification content to the terminal for message reminding; Wake up the terminal through the abnormal notification content, obtain the user input control instruction from the terminal, and send the detailed state information to the terminal for message browsing according to the control instruction.
[0007] Optionally, the low-power-consumption abnormal message reminding method of self-defined monitoring, wherein the task information includes timestamp, task type, source address and notification field; The method comprises the following steps: The timestamp, task type, source address, and notification field sent by multiple target devices are received in real time through multiple cloud interfaces. Construct a service status data structure, and store the timestamp, task type, source address, and notification field of each task information into the service status data structure.
[0008] Optionally, the method for providing low-power anomaly message alerts for customized monitoring, wherein the step of acquiring all task information from multiple target devices, classifying and storing all task information according to different task types to obtain corresponding storage information, further includes: If a query command is received from the terminal, the service status data structure is queried according to the query command; Send a query instruction to the terminal, the query instruction being used to prompt the terminal to send an active query instruction and a passive query instruction for the next query; If the passive query instruction is received, a query time indication is returned to the terminal. The query time indication is used to prompt the terminal for the time to send the next query instruction.
[0009] Optionally, the custom monitoring low-power anomaly message alert method, wherein the real-time monitoring of all the stored information, and if an anomaly exists in the stored information, constructing corresponding anomaly notification content and detailed status information based on the corresponding stored information, and sending the anomaly notification content to the terminal for message alert, specifically includes: All the stored information is monitored in real time. If there is an information anomaly in the service status data structure, the task information corresponding to the anomaly information is obtained, and the task name, service type, anomaly type and timestamp are extracted from the task information. Construct an encryption key for the task information, and generate a verification code for the anomaly information based on the encryption key; A unique identifier for the abnormal information is constructed based on the verification code, and the abnormal notification content for the abnormal information is constructed based on the unique identifier, the task name, and the verification code. The task information is analyzed based on the anomaly information to obtain detailed information. Detailed status information of the anomaly information is constructed based on the detailed information, the service type, the anomaly type, and the timestamp. The abnormal notification content is sent to the terminal as a message reminder through a channel of the same type as the one used to send the abnormal notification content.
[0010] Optionally, the method for providing low-power anomaly message alerts for customized monitoring, wherein waking up the terminal through the anomaly notification content specifically includes: When the abnormal notification content is sent to the terminal, the terminal will be woken up from deep sleep. The terminal sends the verification code to the client, the client decodes the verification code, and determines whether the verification code matches the task name based on the decoding result; If a match is found, the e-ink screen is refreshed to display the task name on the terminal; The terminal turns on the LED light and emits a vibration signal.
[0011] Optionally, the method for providing low-power anomaly message alerts under custom monitoring, wherein obtaining control commands input by the user from the terminal and sending the detailed status information to the terminal for message browsing according to the control commands specifically includes: The terminal receives control commands sent by the client and sends the control commands to the cloud server; According to the control command, a cellular data connection is established between the client and the abnormal target device corresponding to the abnormal information; Based on the query request sent by the client, the detailed status information is sent to the terminal, and the terminal refreshes the e-ink screen to display the detailed status information; The query request includes the task name and the unique identifier.
[0012] Optionally, the method for providing low-power anomaly message alerts under custom monitoring, wherein the terminal is woken up by the anomaly notification content, control commands input by the user are obtained from the terminal, and detailed status information is sent to the terminal for message browsing according to the control commands, further includes: After the client has adjusted the abnormal target device corresponding to the abnormal information, it disconnects the cellular data connection between the cloud server, the client, and the abnormal target device, and changes the terminal's working state to a deep sleep state.
[0013] Furthermore, to achieve the above objectives, the present invention also provides a custom monitoring low-power anomaly message alert system, wherein the custom monitoring low-power anomaly message alert system includes: The information storage module is used to acquire all task information from multiple target devices, classify and store all the task information according to different task types, and obtain corresponding storage information. An abnormal information alert module is used to monitor all the stored information in real time. If there is an abnormality in the stored information, it constructs the corresponding abnormal notification content and detailed status information according to the corresponding stored information, and sends the abnormal notification content to the terminal for message alert. The detailed information display module is used to wake up the terminal through the abnormal notification content, obtain the control command input by the user from the terminal, and send the detailed status information to the terminal for message browsing according to the control command.
[0014] Furthermore, to achieve the above objectives, the present invention also provides a cloud server, wherein the cloud server includes: a memory, a processor, and a custom monitoring low-power anomaly message alerting program stored on the memory and executable on the processor, wherein when the custom monitoring low-power anomaly message alerting program is executed by the processor, it implements the steps of the custom monitoring low-power anomaly message alerting method as described above.
[0015] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a custom monitoring low-power anomaly message alert program, and when the custom monitoring low-power anomaly message alert program is executed by a processor, it implements the steps of the custom monitoring low-power anomaly message alert method as described above.
[0016] In this invention, all task information from multiple target devices is acquired, and the task information is categorized and stored according to different task types to obtain corresponding stored information. All stored information is monitored in real time. If any stored information is abnormal, a corresponding abnormal notification content and detailed status information are constructed based on the corresponding stored information, and the abnormal notification content is sent to the terminal for message alerting. The terminal is then awakened by the abnormal notification content, and user-inputted control commands are obtained from the terminal. Based on the control commands, the detailed status information is sent to the terminal for message browsing. This invention achieves low-power visualization of multiple task details through a cloud server, realizing extremely low power consumption, long standby time, and easy deployment of message alerts while ensuring the immediacy and reliability of notifications. Attached Figure Description
[0017] Figure 1 This is a flowchart of a preferred embodiment of the low-power abnormality message alert method for custom monitoring of the present invention; Figure 2 This is an overall flowchart of a preferred embodiment of the low-power abnormality message notification method for custom monitoring of the present invention; Figure 3 This is a flowchart of data processing in a preferred embodiment of the low-power abnormality message alert method for custom monitoring of the present invention; Figure 4 This is a schematic diagram of a terminal representing a preferred embodiment of the low-power abnormality message notification method for custom monitoring of the present invention; Figure 5This is a flowchart of the terminal operation of a preferred embodiment of the low-power abnormal message reminder method for custom monitoring of the present invention; Figure 6 This is a structural diagram of a preferred embodiment of the custom monitoring low-power abnormal message alert system of the present invention; Figure 7 This is a structural diagram of a preferred embodiment of the cloud server of the present invention. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0019] In existing network services, server downtime or construction failures occasionally occur. For example, the security monitoring function of a home TV may occasionally malfunction, requiring timely notification to the user. There are two main ways to notify users: one is through push notifications from a mobile app, but this requires the user's phone to be constantly connected to the network, which is unsuitable for prolonged standby; the other is through email and SMS, but this requires the user to frequently check their phone, which is impractical. Therefore, this invention discloses a low-power anomaly message notification method for customized monitoring, allowing users to customize the network services they monitor. When an anomaly occurs, a low-power device is quickly notified via the cloud. The device only wakes up when needed, displays a simple reminder, and the user can only access the details after confirmation. This saves power and does not disrupt daily life.
[0020] The preferred embodiment of the present invention describes a method for providing custom monitoring of low-power anomaly messages, such as... Figure 1 As shown, the custom monitoring low-power anomaly message alert method includes the following steps: Step S10: Obtain all task information from multiple target devices, classify and store all task information according to different task types, and obtain corresponding storage information.
[0021] In the embodiments disclosed in this invention, a single platform handles the status of multiple cloud services and can be configured and customized for different services, thereby aggregating them into a unified notification method for terminals. For example, the service source might be a CI / CD integration service (Continuous Integration / Continuous Delivery / Continuous Deployment), which typically provides status callbacks to transmit relevant information through callback interfaces. The running status of some VPS (Virtual Private Server) servers can be monitored by configuring corresponding polling services on the system to periodically and proactively probe the status of target services and generate notification messages when necessary. Therefore, the cloud server disclosed in this invention can set different status information acquisition methods for different services, thereby achieving the purpose of unified aggregation of multiple messages.
[0022] Specifically, the timestamp, task type, source address, and notification field sent by multiple target devices are received in real time through multiple cloud interfaces; a service status data structure is constructed, and the timestamp, task type, source address, and notification field of each task information are stored in the service status data structure respectively.
[0023] The task information includes: timestamp, task type, source address, and notification field. For example... Figure 2 As shown, after the task information of each target device is sent to the cloud server, the cloud server classifies and stores the task information of each target device according to the corresponding task. In the message system, a service status data structure is defined, including but not limited to basic fields such as time, type, source (i.e., source address), and notification data. When saving, it is classified according to these fields, which makes it convenient for users to query each category according to the fields; while improving storage efficiency, it also improves the user's management efficiency.
[0024] Furthermore, if a query instruction is received from the terminal, the service status data structure is queried according to the query instruction; a query indication is sent to the terminal, which is used to prompt the terminal to send an active query instruction and a passive query instruction for the next query; if the passive query instruction is received, a query time indication is returned to the terminal, which is used to prompt the terminal to send the query instruction for the next query.
[0025] In the embodiments disclosed in this invention, such as Figure 3As shown, there are two working modes for monitoring various task information: passive mode and active mode. In passive mode, the system is in a deep sleep mode, consuming almost no power. It only monitors these task information through the listening module. When abnormal information is detected, it is called back to the message queue for further processing. It is important to note that before monitoring, the user sends multiple device identifiers to the cloud server. In passive mode, only the target devices of interest to the user are monitored based on all device identifiers, improving the user's management efficiency of target devices and enhancing the targeted management of notification information. In active mode, the cellular network is used to maintain a long-term data connection, actively polling to obtain data from all devices, including abnormal data and ordinary notifications. The acquired data is categorized and displayed according to the terminal's display level settings. For example, if only key abnormal information is displayed, very few items are displayed; if all message notifications are displayed, the terminal will display more notifications, becoming a notification information stream display terminal or an information sub-screen.
[0026] Step S20: Monitor all the stored information in real time. If there is an anomaly in the stored information, construct the corresponding anomaly notification content and detailed status information based on the corresponding stored information, and send the anomaly notification content to the terminal for message reminder.
[0027] In addition to identifying potential anomalies in stored information, the system also checks for anomalies that occur during the entire task execution process, such as determining whether there are errors, delays, or alarms in the task status during information processing.
[0028] Specifically, all the stored information is monitored in real time. If there is an anomaly in the service status data structure, the task information corresponding to the anomaly is obtained, and the task name, service type, anomaly type, and timestamp are extracted from the task information. An encryption key for the task information is constructed, and a verification code for the anomaly is generated based on the encryption key. A unique identifier for the anomaly is constructed based on the verification code, and an anomaly notification content for the anomaly is constructed based on the unique identifier, the task name, and the verification code. The task information is analyzed based on the anomaly to obtain detailed information, and detailed status information for the anomaly is constructed based on the detailed information, the service type, the anomaly type, and the timestamp. The anomaly notification content is sent to the terminal for message reminder through a channel of the same type as the one used to send the anomaly notification content.
[0029] When an anomaly is detected, the cloud server generates a brief anomaly notification, which includes only the task name corresponding to the anomaly event and a checksum used to match the task with the target device, to ensure an accurate match between the anomaly and the target device.
[0030] Furthermore, after preparing the abnormal notification content to remind the user of the abnormal task, the cloud server generates a complete detailed information based on the task information corresponding to the abnormal information. When the user sees the abnormal notification content and issues a query command, the detailed information is directly sent to the client based on the connection relationship between the user's client and the cloud server.
[0031] Step S30: Wake up the terminal through the abnormal notification content, obtain the control command input by the user from the terminal, and send the detailed status information to the terminal for message browsing according to the control command.
[0032] Among them, such as Figure 4 As shown, the terminal device is a small portable device powered by a lithium battery and connected to a cellular network. It includes a control core, a cellular communication module, an e-ink display module, a prompt module (including a buzzer, LED indicator or vibration motor), user interaction buttons, a power management unit, and a lithium battery, enabling it to achieve extremely low power consumption, long standby time, and easy deployment.
[0033] Specifically, when the abnormal notification content is sent to the terminal, the terminal is woken up from deep sleep; the terminal sends the verification code to the client, the client decodes the verification code, and determines whether the verification code matches the task name based on the decoding result; if a match is found, the e-ink screen is refreshed to display the task name on the terminal; the terminal turns on the LED light and emits a vibration signal.
[0034] Among them, such as Figure 5 As shown, when the terminal receives an abnormal notification, if the message is valid (through a preset identifier or verification), the device performs a minimized response, wakes up from deep sleep, refreshes the e-ink screen to display a brief prompt, and simultaneously emits a beep or vibration signal, entering a state awaiting user confirmation. Once the user client establishes a connection with the target device or cloud server, the terminal can enter standby mode, achieving extremely low power consumption.
[0035] Furthermore, the terminal receives control commands sent by the client and sends the control commands to the cloud server; according to the control commands, it establishes a cellular data connection between the client and the abnormal target device corresponding to the abnormal information; according to the query request sent by the client, it sends the detailed status information to the terminal, and the terminal refreshes the e-ink screen to display the detailed status information; wherein, the query request includes the task name and the unique identifier.
[0036] When users notice these warnings, they can press the confirmation button on their device. At this point, the device establishes a complete network connection, retrieves detailed notifications from the cloud, and can also directly obtain the work logs before and after the corresponding timestamp from the target device associated with the anomaly. The cloud server can then analyze the cause of the anomaly based on the detailed information or work logs and generate corresponding repair suggestions. Users can then take appropriate action on the target device according to these suggestions.
[0037] Furthermore, after the client has adjusted the abnormal target device corresponding to the abnormal information, it disconnects the cellular data connection between the cloud server, the client, and the abnormal target device, and changes the terminal's working state to a deep sleep state.
[0038] Once the user has finished querying the detailed information, if the user does not perform any further operations, the device will automatically close the connection and enter standby mode. Furthermore, this invention discloses an embodiment to better illustrate this: When a project is created on a platform, the cloud server detects a project creation failure and generates corresponding prompts and log data based on this process. The prompts are then sent to the terminal via SMS. The terminal device vibrates and displays "Build Error" on the e-ink screen. The user then presses the "Confirm" button to output control commands, establishing a connection with the cloud server and platform to obtain the log data. After reading the log data, if the user does not take any action, the terminal device will automatically enter standby mode. Through these processes, the system does not need to run a corresponding app in the background. Instead, it is optimized specifically for "error notifications," making it particularly suitable for programmers, system administrators, or anyone who needs to monitor remote services. While ensuring the timeliness and reliability of notifications, it achieves an alarm notification solution with extremely low power consumption, long standby time, and easy deployment. It is especially suitable for various cloud service scenarios that require long-term monitoring but have few abnormal events.
[0039] This invention uses a cloud server to visualize the details of multiple tasks in a low-power manner, achieving message reminders with extremely low power consumption, long standby time, and easy deployment while ensuring the timeliness and reliability of notifications.
[0040] Furthermore, such as Figure 6 As shown, based on the above-mentioned custom monitoring low-power anomaly message alert method, the present invention also provides a custom monitoring low-power anomaly message alert system, wherein the custom monitoring low-power anomaly message alert system includes: Information storage module 51 is used to acquire all task information of multiple target devices, classify and store all the task information according to different task types, and obtain corresponding storage information; The abnormal information reminder module 52 is used to monitor all the stored information in real time. If there is an abnormality in the stored information, it constructs the corresponding abnormal notification content and detailed status information according to the corresponding stored information, and sends the abnormal notification content to the terminal for message reminder. The detailed information display module 53 is used to wake up the terminal through the abnormal notification content, obtain the control command input by the user from the terminal, and send the detailed status information to the terminal for message browsing according to the control command.
[0041] Furthermore, such as Figure 7 As shown, based on the above-mentioned low-power abnormal message reminder method and system for customized monitoring, the present invention also provides a cloud server, which includes a processor 10, a memory 20 and a display 30. Figure 7 Only some of the components of the cloud server are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.
[0042] In some embodiments, the memory 20 may be an internal storage unit of the cloud server, such as a hard drive or memory. In other embodiments, the memory 20 may be an external storage device of the cloud server, such as a plug-in hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on the cloud server. Further, the memory 20 may include both internal and external storage devices of the cloud server. The memory 20 is used to store application software and various types of data installed on the cloud server, such as the program code installed on the cloud server. The memory 20 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores a custom monitoring low-power anomaly message alert program 40, which can be executed by the processor 10 to implement the custom monitoring low-power anomaly message alert method of this application.
[0043] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the custom monitoring low-power abnormal message alert method.
[0044] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display information on the cloud server and to display a visual user interface. Components of the cloud server communicate with each other via a system bus.
[0045] In one embodiment, when the processor 10 executes a custom-monitored low-power exception message alert program 40 in the memory 20, the following steps are performed: Obtain all task information from multiple target devices, classify and store all task information according to different task types, and obtain corresponding storage information; All the stored information is monitored in real time. If any of the stored information is abnormal, a corresponding abnormal notification content and detailed status information are constructed based on the corresponding stored information, and the abnormal notification content is sent to the terminal for message reminder. The terminal is woken up by the abnormal notification content, the user-inputted control commands are obtained from the terminal, and the detailed status information is sent to the terminal for message browsing according to the control commands.
[0046] The task information includes: timestamp, task type, source address, and notification field; The process of acquiring all task information from multiple target devices, classifying and storing all task information according to different task types to obtain corresponding storage information, specifically includes: The timestamp, task type, source address, and notification field sent by multiple target devices are received in real time through multiple cloud interfaces. Construct a service status data structure, and store the timestamp, task type, source address, and notification field of each task information into the service status data structure.
[0047] The process of acquiring all task information from multiple target devices, classifying and storing all task information according to different task types to obtain corresponding storage information, further includes: If a query command is received from the terminal, the service status data structure is queried according to the query command; Send a query instruction to the terminal, the query instruction being used to prompt the terminal to send an active query instruction and a passive query instruction for the next query; If the passive query instruction is received, a query time indication is returned to the terminal. The query time indication is used to prompt the terminal for the time to send the next query instruction.
[0048] Specifically, the step of real-time monitoring of all the stored information, and if any abnormality is found in the stored information, constructing corresponding abnormality notification content and detailed status information based on the corresponding stored information, and sending the abnormality notification content to the terminal for message reminder, includes: All the stored information is monitored in real time. If there is an information anomaly in the service status data structure, the task information corresponding to the anomaly information is obtained, and the task name, service type, anomaly type and timestamp are extracted from the task information. Construct an encryption key for the task information, and generate a verification code for the anomaly information based on the encryption key; A unique identifier for the abnormal information is constructed based on the verification code, and the abnormal notification content for the abnormal information is constructed based on the unique identifier, the task name, and the verification code. The task information is analyzed based on the anomaly information to obtain detailed information. Detailed status information of the anomaly information is constructed based on the detailed information, the service type, the anomaly type, and the timestamp. The abnormal notification content is sent to the terminal as a message reminder through a channel of the same type as the one used to send the abnormal notification content.
[0049] Specifically, waking up the terminal through the abnormal notification content includes: When the abnormal notification content is sent to the terminal, the terminal will be woken up from deep sleep. The terminal sends the verification code to the client, the client decodes the verification code, and determines whether the verification code matches the task name based on the decoding result; If a match is found, the e-ink screen is refreshed to display the task name on the terminal; The terminal turns on the LED light and emits a vibration signal.
[0050] Specifically, the step of obtaining control commands input by the user from the terminal and sending the detailed status information to the terminal for message browsing according to the control commands includes: The terminal receives control commands sent by the client and sends the control commands to the cloud server; According to the control command, a cellular data connection is established between the client and the abnormal target device corresponding to the abnormal information; Based on the query request sent by the client, the detailed status information is sent to the terminal, and the terminal refreshes the e-ink screen to display the detailed status information; The query request includes the task name and the unique identifier.
[0051] The process includes waking up the terminal through the abnormal notification content, obtaining user-inputted control commands from the terminal, and sending the detailed status information to the terminal for message browsing based on the control commands. The process further includes: After the client has adjusted the abnormal target device corresponding to the abnormal information, it disconnects the cellular data connection between the cloud server, the client, and the abnormal target device, and changes the terminal's working state to a deep sleep state.
[0052] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a custom monitoring low-power anomaly message alert program, and when the custom monitoring low-power anomaly message alert program is executed by a processor, it implements the steps of the custom monitoring low-power anomaly message alert method described above.
[0053] In summary, this invention provides a low-power anomaly message alert method and related equipment for customized monitoring. The method includes: acquiring all task information from multiple target devices; classifying and storing all task information according to different task types to obtain corresponding storage information; monitoring all stored information in real time; if any stored information is abnormal, constructing corresponding anomaly notification content and detailed status information based on the corresponding stored information, and sending the anomaly notification content to a terminal for message alert; waking up the terminal through the anomaly notification content, obtaining user-inputted control commands from the terminal, and sending the detailed status information to the terminal for message browsing based on the control commands. This invention achieves low-power visualization of multiple task details through a cloud server, realizing extremely low power consumption, long standby time, and easy deployment of message alerts while ensuring the immediacy and reliability of notifications.
[0054] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or cloud server that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or cloud server. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or cloud server that includes that element.
[0055] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.
[0056] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.
Claims
1. A method for custom monitoring of low power exception message alerting, characterized by, The low-power-consumption abnormal message reminding method of the customized monitoring comprises: Obtaining all task information of a plurality of target devices, and storing all the task information according to different task types to obtain corresponding storage information; Monitoring all the storage information in real time, and if there is an abnormal storage information, constructing an abnormal notification content and detailed state information according to the corresponding storage information, and sending the abnormal notification content to a terminal for message reminding; Waking up the terminal through the abnormal notification content, obtaining a control instruction input by a user from the terminal, and sending the detailed state information to the terminal for message browsing according to the control instruction.
2. The method for custom monitoring of low power exception message alerts as claimed in claim 1 wherein, The task information comprises a timestamp, a task type, a source address and a notification field; The obtaining all task information of a plurality of target devices, and storing all the task information according to different task types to obtain corresponding storage information comprises: Receiving the timestamp, the task type, the source address and the notification field sent by the plurality of target devices in real time through a plurality of cloud interfaces; Constructing a service state data structure, and storing the timestamp, the task type, the source address and the notification field of each task information into the service state data structure.
3. The method of claim 2, wherein the custom monitoring of low power exception message alert is further defined by, The obtaining all task information of a plurality of target devices, and storing all the task information according to different task types to obtain corresponding storage information further comprises: If a query instruction sent by the terminal is received, querying the service state data structure according to the query instruction; Sending a query instruction to the terminal, the query instruction being used to prompt the terminal to send an active query instruction and a passive query instruction next time; If the passive query instruction is received, returning a query time instruction to the terminal, the query time instruction being used to prompt the terminal to send the query instruction next time.
4. The method of claim 2, wherein the custom monitoring of low power exception message alert is further defined by, The monitoring all the storage information in real time, and if there is an abnormal storage information, constructing an abnormal notification content and detailed state information according to the corresponding storage information, and sending the abnormal notification content to a terminal for message reminding comprises: Monitoring all the storage information in real time, and if there is an abnormal information in the service state data structure, obtaining task information corresponding to the abnormal information, and extracting a task name, a service type, an abnormal type and a timestamp from the task information; Constructing an encryption key of the task information, and generating a check code of the abnormal information according to the encryption key; Constructing a unique identifier of the abnormal information according to the check code, and constructing an abnormal notification content of the abnormal information according to the unique identifier, the task name and the check code; Analyzing the task information according to the abnormal information to obtain detailed information, and constructing detailed state information of the abnormal information according to the detailed information, the service type, the abnormal type and the timestamp; Sending the abnormal notification content to the terminal for message reminding through a channel of the same type as that of sending the abnormal notification content.
5. The method for custom monitoring of low power exception message alerts of claim 4, wherein, The terminal is woken up by the abnormal notification content, and specifically includes: When the abnormal notification content is sent to the terminal, the terminal is woken up from a deep sleep state; The terminal sends the check code to the client, the client decodes the check code, and judges whether the check code matches the task name according to the decoding result; If it is judged to match, the ink screen is refreshed to display the task name on the terminal; The terminal turns on the LED light and sends a vibration signal.
6. The method of claim 5, wherein the custom monitoring of low power exception message alert is further defined by, The terminal obtains a control instruction input by a user, and sends the detailed state information to the terminal for message browsing according to the control instruction, and specifically includes: The terminal receives the control instruction sent by the client, and sends the control instruction to the cloud server; According to the control instruction, a cellular data connection between the client and the abnormal target device corresponding to the abnormal information is established; According to the query request sent by the client, the detailed state information is sent to the terminal, and the terminal refreshes the ink screen to display the detailed state information; The query request includes the task name and the unique identifier.
7. The method of claim 6, wherein the custom monitoring of low power exception message alert is further defined by, The terminal is woken up by the abnormal notification content, and the terminal obtains a control instruction input by a user, and sends the detailed state information to the terminal for message browsing according to the control instruction, and further includes: After the client adjusts the abnormal target device corresponding to the abnormal information, the cellular data connection between the cloud server, the client and the abnormal target device is disconnected, and the working state of the terminal is converted to a deep sleep state.
8. A low power consumption exception message alerting system for custom monitoring, characterized by, The self-defined monitoring low-power-consumption abnormal message reminding system is applied to the self-defined monitoring low-power-consumption abnormal message reminding method of any one of claims 1-7, and the self-defined monitoring low-power-consumption abnormal message reminding system includes: An information storage module is configured to obtain all task information of a plurality of target devices, store all the task information according to different task types to obtain corresponding storage information, and monitor all the storage information in real time. An abnormal information reminding module is configured to construct corresponding abnormal notification content and detailed state information according to the corresponding storage information if the storage information is abnormal, and send the abnormal notification content to a terminal for message reminding. A detailed information display module is configured to wake up the terminal by the abnormal notification content, obtain a control instruction input by a user from the terminal, and send the detailed state information to the terminal for message browsing according to the control instruction.
9. A cloud server, characterized by The cloud server includes a memory, a processor, and a self-defined monitoring low-power-consumption abnormal message reminding program stored in the memory and executable on the processor, and the self-defined monitoring low-power-consumption abnormal message reminding program implements the steps of the self-defined monitoring low-power-consumption abnormal message reminding method of any one of claims 1-7 when executed by the processor.
10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a low-power-consumption abnormal message reminding program of custom monitoring, and the low-power-consumption abnormal message reminding program of custom monitoring, when executed by the processor, implements the steps of the low-power-consumption abnormal message reminding method of custom monitoring in any one of claims 1-7.