Equipment deviation alarm system and method based on data acquisition

Abstract

The invention provides an equipment deviation alarm system and method based on data acquisition, and the system comprises an industrial gateway collector which is used for carrying out the real-time collection of demand data generated by industrial production field equipment, and uploading the collected actual data of the field equipment to an equipment management unit; the equipment management unit is used for performing virtual conversion on the industrial production field equipment, mapping the generated virtual equipment and the actual data of the corresponding field equipment, and transmitting the virtual equipment and the mapped actual acquisition data to the alarm management unit; and the alarm management unit is used for configuring a deviation alarm strategy of the system based on the virtual equipment and the actually acquired data, or receiving a user-defined deviation alarm strategy, and performing real-time monitoring and alarm analysis on the industrial production field equipment according to the configured deviation alarm strategy or the user-defined deviation alarm strategy. An analysis result is fed back to the user terminal; and the user terminal is used for providing an interactive interface and a user interface for a user.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to an equipment deviation alarm system and method based on data acquisition. Background Art

[0002] Traditional industrial manufacturing companies use the Internet of Things or Industrial Internet platforms to manage equipment. After completing the collection of equipment data (such as temperature, pressure, liquid level, etc.), in addition to presenting the collected data to managers in different forms such as reports and charts, they usually also need to monitor the collected data in real time to determine whether the collected data is within the process requirement threshold range. If it exceeds the upper and lower limits of the process requirement threshold, an alarm and message push must be immediately sent to the equipment manager.

[0003] In standardized production sites, when equipment in a particular process generates an alarm or malfunctions, it often impacts overall production. Even if maintenance personnel quickly respond and resolve the problem, downtime for repairs and equipment commissioning can still occur, reducing equipment utilization and lowering production efficiency. Therefore, while completing data collection and providing real-time alarms, strategic analysis of collected data through effective methods, as well as early warning and processing of deviations collected by equipment, will become a core requirement in enterprise production management.

[0004] The existing patent "An Alarm Method and Device for Data Acquisition Equipment" introduces an alarm method based on data acquisition equipment. It collects user data, determines whether the collected user data is within a preset range, and sends alarm information to different user terminals when the user data value exceeds the preset range. This method can realize equipment alarm monitoring through threshold calculation after the device data is collected and uploaded. However, in actual production sites, the fault handling and debugging time generated after the device data triggers the threshold will consume a large amount of normal equipment production capacity. In addition, at the production site, different equipment types have different monitoring and alarm strategies based on the production process, equipment activation time, equipment age, etc. The method that relies solely on the preset threshold range of the collected data to determine equipment anomalies has poor coverage.

[0005] In summary, the existing equipment data collection and alarm monitoring and processing technologies have the following main defects:

[0006] 1. Alarm calculation and triggering are based on the threshold range set by a single collected data. The alarm sunk cost is high, and the generation of such alarms often requires a lot of manual processing and production recovery time;

[0007] 2. The coverage is relatively small. The conditions of equipment at industrial production sites vary. Based on the production process, activation time, and age of different types of equipment, it is necessary to preset monitoring and alarm strategies. It is obviously not enough to meet such scenarios by simply calculating the preset data collection threshold range. Summary of the Invention

[0008] The purpose of the present invention is to provide a device deviation alarm system and method based on data acquisition, aiming to solve the above-mentioned problems in the prior art.

[0009] An embodiment of the present invention provides a device deviation alarm system based on data acquisition, comprising:

[0010] The industrial gateway collector is a collection service unit set up on the cloud platform, connected to the device management unit, and is used to collect demand data generated by industrial production field equipment in real time and upload the collected actual data of the field equipment to the device management unit;

[0011] The device management unit is connected to the industrial gateway collector and the alarm management unit, and is used to perform virtual conversion on industrial production field devices, map the generated virtual devices with the actual data of the corresponding field devices, and transmit the virtual devices and the mapped actual collected data to the alarm management unit;

[0012] an alarm management unit connected to the device management unit and the user terminal, configured to configure a deviation alarm strategy for the system based on the virtual device and the actual collected data, or receive a custom deviation alarm strategy from the user terminal, perform real-time monitoring and alarm analysis on industrial production site equipment according to the configured deviation alarm strategy or the custom deviation alarm strategy, and feed back the analysis results to the user terminal;

[0013] The user terminal is connected to the alarm management unit and is used to provide the user with an interface for interacting with the system and a friendly user interface.

[0014] An embodiment of the present invention provides a device deviation alarm method based on data acquisition, comprising:

[0015] The industrial gateway collector collects demand data generated by industrial production site equipment in real time, and uploads the collected actual data of the field equipment to the equipment management unit;

[0016] Perform virtual conversion of industrial production field equipment through the device management unit, map the generated virtual equipment with the corresponding field equipment actual data, and transmit the virtual equipment and the mapped actual collected data to the alarm management unit;

[0017] The system's deviation alarm strategy is configured based on the virtual device and the actual collected data through the alarm management unit, or a custom deviation alarm strategy is received from the user terminal. The industrial production site equipment is monitored and alarm analyzed in real time according to the configured deviation alarm strategy or the custom deviation alarm strategy, and the analysis results are fed back to the user terminal;

[0018] The user terminal provides users with an interface for interacting with the system and a friendly user interface.

[0019] An embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-mentioned device deviation alarm method based on data acquisition.

[0020] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the above-mentioned device deviation alarm method based on data acquisition are implemented.

[0021] The use of the embodiments of the present invention can include the following beneficial effects: The embodiments of the present invention propose an industrial gateway collection service and a cloud platform alarm real-time monitoring service, which realizes equipment deviation alarm analysis based on data collection by managing the deviation indicator items of virtual devices registered on the platform, configuring and adjusting the parameters of each deviation indicator, sample capacity, data cycle, judgment rules, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 Schematic diagram of a device deviation alarm system based on data acquisition according to an embodiment of the present invention;

[0024] Figure 2 This is a diagram of the overall architecture of the device deviation alarm system according to an embodiment of the present invention;

[0025] Figure 3 is a flow chart of device deviation analysis according to an embodiment of the present invention;

[0026] Figure 4 This is a flow chart of a device deviation alarm method based on data acquisition according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this document.

[0028] System Example

[0029] According to an embodiment of the present invention, a device deviation alarm system based on data acquisition is provided. Figure 1 FIG. 1 is a schematic diagram of a device deviation alarm system based on data acquisition according to an embodiment of the present invention. Figure 1 As shown, the device deviation alarm system based on data acquisition according to an embodiment of the present invention specifically includes:

[0030] The industrial gateway collector 10 is a collection service unit set on the cloud platform, connected to the device management unit, and is used to collect demand data generated by industrial production field equipment in real time and upload the collected actual data of the field equipment to the device management unit;

[0031] The demand data is customized according to user needs; the demand data includes variable code, variable name, data type, acquisition cycle, acquisition channel, IP address and down-control enable;

[0032] The industrial gateway collector is associated with the industrial production field equipment through the collection channel and the IP address;

[0033] The device management unit 12 is connected to the industrial gateway collector and the alarm management unit, and is used to perform virtual conversion on industrial production field devices, map the generated virtual devices with the actual data of the corresponding field devices, and transmit the virtual devices and the mapped actual collected data to the alarm management unit, specifically for:

[0034] Virtually creating industrial production field equipment, mapping the generated virtual equipment to the industrial production field equipment one-to-one through equipment coding, and mapping the generated virtual equipment to the actual data of the corresponding field equipment according to the acquisition channel and the IP address;

[0035] The alarm management unit 14 is connected to the device management unit and the user terminal, and is used to configure the system's deviation alarm strategy based on the virtual device and the actual collected data, or receive a custom deviation alarm strategy from the user terminal, perform real-time monitoring and alarm analysis on industrial production site equipment according to the configured deviation alarm strategy or the custom deviation alarm strategy, and feed back the analysis results to the user terminal, specifically for:

[0036] Based on the process knowledge of the current virtual equipment, deviation indicators and deviation indicator analysis tasks that affect the normal operation of the equipment are defined; wherein the deviation indicators and deviation indicator analysis tasks include parameter information, sample size, data entry cycle, upper and lower specification limits, number of decimal places, deviation judgment rules and analysis task cycle;

[0037] Selecting a deviation analysis rule applicable to the current virtual device based on the deviation index and the deviation index analysis task, performing deviation alarm analysis on the device based on the deviation analysis rule, and generating a threshold alarm result if the actual collected data exceeds the preset upper and lower limits of the specification;

[0038] If the actual collected data is within the preset upper and lower limits, it is determined whether the actual collected data triggers other deviation analysis and judgment rules; if so, a deviation alarm result is generated; wherein the deviation alarm result includes the sample parameters, out-of-control information, maximum value, minimum value, standard deviation, extreme value difference and average value within the analysis period;

[0039] If not, no action is required;

[0040] The user terminal 16 is connected to the alarm management unit and is used to provide the user with an interface for interacting with the system and a friendly user interface, specifically for:

[0041] Configure a custom deviation alarm strategy; wherein, the custom deviation alarm strategy includes custom deviation indicator analysis tasks, custom deviation indicators, custom deviation judgment rules, custom variable adjustments, custom sample capacity, custom data entry cycle, custom specification upper and lower limits, and custom analysis task cycle.

[0042] The above technical solution of the embodiment of the present invention is described in detail below in conjunction with the specific situation of the equipment deviation alarm system based on data acquisition in the embodiment of the present invention.

[0043] In view of the defects of the existing technology, the embodiments of the present invention mainly solve the following problems:

[0044] 1. After collecting data from production site equipment based on the industrial gateway collector, in addition to the single threshold alarm configuration calculation, it provides low-learning-cost, customizable equipment indicator deviation analysis tasks and indicator deviation judgment rules. Through equipment indicator deviation analysis, early warning is provided to reduce equipment downtime costs caused by major alarms;

[0045] 2. Based on the implemented cloud platform deviation alarm analysis service, when the equipment process, status, etc. at the production site change, the platform can be used to map virtual devices to iteratively adjust the deviation alarm tasks and analysis indicators to meet the deviation alarm strategy analysis of equipment of different types and usage status.

[0046] The specific implementation steps of the system proposed by the embodiment of the present invention are as follows:

[0047] Step 1: Register the industrial gateway collector actually connected to the industrial production site to the cloud platform collection service unit; the existing gateway information includes the gateway name, gateway model, gateway passcode, gateway SN number and other basic gateway information, and the gateway uniqueness is verified and associated with the SN number.

[0048] Step 2: Based on the industrial gateway collector, configure the data actually generated by industrial production site equipment that needs to be collected on the platform. The device collected data information includes variable code, variable name, data type, collection cycle, collection channel, IP address, and downstream control enable. Select the collected data with downstream control enabled to support reverse control of the equipment or operating system on the production site through the platform. The actual production equipment on site and the industrial collector are associated with each other through the collection channel and IP address in a one-to-one or one-to-many relationship. That is, one on-site industrial collector can collect data from one or multiple devices, and the data of different devices is distinguished by the collection channel and IP address configured on the industrial collector.

[0049] Step 3: Based on the cloud platform's device management module, the production site equipment is virtually created on the platform, including basic information such as device type, device name, and device code. The actual on-site equipment and the virtual device created by the platform are mapped using the unique device code number. By associating the platform virtual device with the industrial gateway collector registered to the platform, the collection channel and corresponding IP address under the industrial collector are selected, and the actual data collected by the gateway collector on the field equipment is mapped on the platform.

[0050] Step 4: Based on the virtual device and mapping data registered to the cloud platform in Step 3, support the configuration of deviation alarm strategies in the alarm management unit. The deviation alarm strategy defines deviation indicators and deviation indicator analysis tasks that may affect the normal operation of the equipment based on current equipment process knowledge, including parameter information, sample size, upper and lower specification limits, number of decimal places, deviation judgment rules, task cycle, etc.

[0051] Step 5: The system provides currently configurable exception detection rules, such as exceeding specification limits, [n] points falling outside the sigma zone, [n] consecutive points falling on the same side of the center line, [n] consecutive points increasing or decreasing, [n] consecutive points alternating up and down, [m] consecutive points falling within the [k] times sigma zone on the same side of the center line, [n] consecutive points falling within the [m] times sigma zone on both sides of the center line, [n] consecutive points falling on both sides of the center line and none falling within the [m] times sigma zone, etc. The sigma zone is the area between (μ-σ, μ+σ) where values ​​in normally distributed data are distributed, and is used to describe the distribution pattern and probability range of the data. σ represents the standard deviation, and μ represents the mean. In the exception detection rules, rule variables such as [n], [m], and [k] can be manually modified.

[0052] Step 6: Based on the device deviation indicators and analysis tasks determined in Step 4, select the deviation analysis and judgment rules that are suitable for the current device, adjust the judgment rule parameters according to the actual device judgment strategy, define the task cycle, and enable the deviation analysis task;

[0053] Step 7: Based on the deviation analysis indicator parameter information and sample size determined in steps 3 and 4, and the abnormality judgment rules and task cycle determined in steps 5 and 6, the platform alarm management unit executes the deviation alarm analysis task for the current device. When the device collected data exceeds the preset specification limit, a traditional threshold alarm is triggered. When the device collected data is within the threshold range but triggers a certain abnormality judgment rule, a deviation alarm is triggered, and the sample parameters, out-of-control information, maximum value, minimum value, standard deviation, extreme value difference, average value, etc. within the analysis period are pushed to the user.

[0054] Step 8: Based on the equipment indicator deviation analysis task triggered in step 7, support push feedback to the customer feedback unit, including web clients and app clients. Furthermore, support docking with on-site indicator lights or equipment control systems, and through platform reverse control, display different on-site alarm color lights or execute equipment reverse control actions;

[0055] Step 9: Furthermore, the cloud platform supports users to customize the deviation judgment rules actually used for the data collected by production site equipment in the alarm management unit. Users can choose from the equipment deviation alarm models that have been actually trained and provided by the rule center, or enter and train personalized algorithms based on the deviation indicators of the equipment collection data; after the customized alarm deviation rule is triggered, the deviation alarm message will be pushed to customers on different terminals simultaneously.

[0056] To sum up, the embodiments of the present invention are no longer limited to generating an alarm after the data exceeds the upper and lower limits of the threshold through the definition and analysis calculation of the deviation indicator parameter information, sample capacity, data entry cycle, judgment rules and other dimensions of different types of equipment. The deviation analysis indicators can be used to more accurately predict the equipment operation deviation, and provide early warning and processing; at the same time, the cloud platform pre-fabricates the deviation judgment rules based on normally distributed data, and has the ability to meet the equipment deviation judgment rules through simple parameter adjustment.

[0057] like Figure 2 As shown, the embodiment of the present invention establishes a mapping relationship between on-site equipment and platform virtual equipment based on the industrial gateway acquisition unit, defines the deviation alarm strategy that conforms to the on-site production equipment through the platform alarm management unit and monitors it in real time, and sends alarm notifications to various different customer feedback terminals after the alarm is triggered.

[0058] like Figure 3 As shown, the platform of the embodiment of the present invention provides a service for quickly configuring equipment deviation indicator analysis and judgment rules, including defining deviation tasks, defining deviation indicators, selecting judgment rules and adjusting variables, selecting acquisition parameters, defining sample capacity, data entry cycle, analysis task cycle, etc.; after the deviation analysis task is executed, the judgment rules are triggered, supporting the pushing of abnormal data to users and triggering subsequent work order processing tasks.

[0059] Method Example

[0060] According to an embodiment of the present invention, a device deviation alarm method based on data acquisition is provided. Figure 4 This is a flow chart of a device deviation alarm method based on data acquisition according to an embodiment of the present invention. Figure 4 As shown, the device deviation alarm method based on data acquisition according to an embodiment of the present invention specifically includes:

[0061] Step S401: collecting demand data generated by industrial production field equipment in real time through an industrial gateway collector, and uploading the collected actual data of the field equipment to a device management unit;

[0062] The demand data is customized according to user needs; the demand data includes variable code, variable name, data type, acquisition cycle, acquisition channel, IP address and down-control enable;

[0063] The industrial gateway collector is associated with the industrial production field equipment through the collection channel and the IP address;

[0064] Step S402, performing virtual conversion on the industrial production field equipment through the device management unit, mapping the generated virtual device with the corresponding field device actual data, and transmitting the virtual device and the mapped actual collected data to the alarm management unit, specifically includes:

[0065] Virtually creating industrial production field equipment, mapping the generated virtual equipment to the industrial production field equipment one-to-one through equipment coding, and mapping the generated virtual equipment to the actual data of the corresponding field equipment according to the acquisition channel and the IP address;

[0066] Step S403: configuring the system's deviation alarm strategy based on the virtual device and the actual collected data through the alarm management unit, or receiving a custom deviation alarm strategy from the user terminal, performing real-time monitoring and alarm analysis on the industrial production site equipment according to the configured deviation alarm strategy or the custom deviation alarm strategy, and feeding back the analysis results to the user terminal;

[0067] Step S404: providing the user with an interface for interacting with the system and a friendly user interface through the user terminal.

[0068] The embodiment of the present invention is a method embodiment corresponding to the above-mentioned system embodiment. The specific operation of each step can be understood by referring to the description of the system embodiment, and will not be repeated here.

[0069] In summary, compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0070] 1. Increased alarm strategy diversity: After collecting on-site equipment data through the industrial gateway collector, in addition to the single threshold alarm calculation, it also provides equipment indicator deviation alarm judgment rules. Through the deviation analysis task, equipment deviations are promptly fed back, reducing equipment downtime costs;

[0071] 2. Through the system's pre-configured current deviation judgment rules, you only need to adjust the variable parameters to configure the judgment rules that meet the actual production site equipment indicator deviation analysis. Compared with custom deviation analysis algorithm scripts, this reduces the learning cost of equipment management personnel and makes the system easier to use;

[0072] 3. When the equipment process and status at the production site change, the platform can be used to map virtual devices to perform synchronous adjustments to deviation alarm tasks and analysis indicators. When the platform's pre-set deviation judgment rules do not meet the equipment indicator deviation analysis, the cloud platform rule center supports custom deviation analysis algorithms to meet the deviation alarm strategy analysis of equipment in different states, with greater reusability and scalability.

[0073] Device Example 1

[0074] An embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps described in the method embodiment when executed by the processor.

[0075] Device Example 2

[0076] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps described in the method embodiment are implemented.

[0077] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk, or optical disk.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A device deviation alarm system based on data acquisition, characterized in that include: The industrial gateway collector is a collection service unit set up on the cloud platform, connected to the device management unit, and is used to collect demand data generated by industrial production field equipment in real time and upload the collected actual data of the field equipment to the device management unit; The device management unit is connected to the industrial gateway collector and the alarm management unit, and is used to perform virtual conversion on industrial production field devices, map the generated virtual devices with the actual data of the corresponding field devices, and transmit the virtual devices and the mapped actual collected data to the alarm management unit; an alarm management unit connected to the device management unit and the user terminal, configured to configure a deviation alarm strategy for the system based on the virtual device and the actual collected data, or receive a custom deviation alarm strategy from the user terminal, perform real-time monitoring and alarm analysis on industrial production site equipment according to the configured deviation alarm strategy or the custom deviation alarm strategy, and feed back the analysis results to the user terminal; The user terminal is connected to the alarm management unit and is used to provide the user with an interface for interacting with the system and a friendly user interface.

2. The system according to claim 1, wherein: The demand data is customized according to user needs; the demand data includes variable code, variable name, data type, acquisition cycle, acquisition channel, IP address and down-control enable; The industrial gateway collector is associated with the industrial production field equipment through the collection channel and the IP address.

3. The system according to claim 2, characterized in that The device management unit is specifically used for: The industrial production field equipment is virtually created, the generated virtual equipment is mapped one-to-one with the industrial production field equipment through equipment coding, and the generated virtual equipment is mapped with the corresponding field equipment actual data according to the acquisition channel and the IP address.

4. The system according to claim 1, wherein: The alarm management unit is specifically used for: Based on the process knowledge of the current virtual equipment, deviation indicators and deviation indicator analysis tasks that affect the normal operation of the equipment are defined; wherein the deviation indicators and deviation indicator analysis tasks include parameter information, sample size, data entry cycle, upper and lower specification limits, number of decimal places, deviation judgment rules and analysis task cycle; Selecting a deviation analysis rule applicable to the current virtual device based on the deviation index and the deviation index analysis task, performing deviation alarm analysis on the device based on the deviation analysis rule, and generating a threshold alarm result if the actual collected data exceeds the preset upper and lower limits of the specification; If the actual collected data is within the preset upper and lower limits, it is determined whether the actual collected data triggers other deviation analysis and judgment rules; if so, a deviation alarm result is generated; wherein the deviation alarm result includes the sample parameters, out-of-control information, maximum value, minimum value, standard deviation, extreme value difference and average value within the analysis period; If not, no action is required.

5. The system according to claim 1, wherein: The user terminal is specifically used for: Configure a custom deviation alarm strategy; wherein, the custom deviation alarm strategy includes custom deviation indicator analysis tasks, custom deviation indicators, custom deviation judgment rules, custom variable adjustments, custom sample capacity, custom data entry cycle, custom specification upper and lower limits, and custom analysis task cycle.

6. A device deviation alarm method based on data acquisition, characterized in that include: The industrial gateway collector collects demand data generated by industrial production site equipment in real time, and uploads the collected actual data of the field equipment to the equipment management unit; Perform virtual conversion of industrial production field equipment through the device management unit, map the generated virtual equipment with the corresponding field equipment actual data, and transmit the virtual equipment and the mapped actual collected data to the alarm management unit; The system's deviation alarm strategy is configured based on the virtual device and the actual collected data through the alarm management unit, or a custom deviation alarm strategy is received from the user terminal. The industrial production site equipment is monitored and alarm analyzed in real time according to the configured deviation alarm strategy or the custom deviation alarm strategy, and the analysis results are fed back to the user terminal; The user terminal provides users with an interface for interacting with the system and a friendly user interface.

7. The method according to claim 6, characterized in that The demand data is customized according to user needs; the demand data includes variable code, variable name, data type, acquisition cycle, acquisition channel, IP address and down-control enable; The industrial gateway collector is associated with the industrial production field equipment through the collection channel and the IP address.

8. The method according to claim 7, characterized in that The virtual conversion of industrial production field equipment is performed through the device management unit, and the generated virtual equipment is mapped with the actual data of the corresponding field equipment. Specifically, the following steps are performed: The industrial production field equipment is virtually created, the generated virtual equipment is mapped one-to-one with the industrial production field equipment through equipment coding, and the generated virtual equipment is mapped with the corresponding field equipment actual data according to the acquisition channel and the IP address.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the device deviation alarm method based on data acquisition are implemented as described in any one of claims 6 to 8.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by the processor, the steps of the device deviation alarm method based on data acquisition as described in any one of claims 6 to 8 are implemented.

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