Equipment data management method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the technical field of equipment health management, and discloses an equipment data management method and device, electronic equipment and a readable storage medium. The method comprises the following steps: constructing a mapping relation between equipment data and equipment real objects; carrying out equipment data modeling and management, and providing a data set for data application; in equipment data modeling and management, directory management is used for standardized induction and arrangement of equipment types and equipment instances to form a set of complete directory; the equipment type management is used for managing multiple different types of equipment; equipment instance management is used for managing specific and single equipment. According to the technical scheme, the operation condition, performance and potential problems of the equipment are accurately monitored, possible faults of the equipment can be predicted, maintenance measures are taken in advance, and production interruption or safety accidents caused by the faults of the equipment are prevented. By analyzing and predicting the equipment data, a predictive maintenance strategy can be implemented, and the downtime and maintenance cost of the equipment are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment health management, and in particular to an equipment data management method, device, electronic device and readable storage medium. Background Art

[0002] As IoT technology matures, more and more devices are connected to the Internet, forming a huge IoT network. The massive data generated by these devices comes from different systems. The inconsistency and non-standardization of data definitions in each system is a major challenge in the data integration process. This inconsistency can lead to a variety of problems, including but not limited to data redundancy, data conflicts, data quality degradation, and high complexity and high cost of the integration process. Therefore, in order to effectively collect, store, process and analyze this data to support various applications and services, it is necessary to build a unified data platform to centrally store and manage the data of various systems and departments within the enterprise, realize data sharing and interoperability, and through effective management of device data, enterprises can realize remote monitoring, fault diagnosis, predictive maintenance and other functions of equipment, improve the operating efficiency and reliability of equipment, and reduce operation and maintenance costs.

[0003] At the same time, through big data analysis technology, equipment data can be centrally stored and processed to achieve efficient data sharing and collaborative work. At the same time, big data technology can deeply mine and analyze equipment data, extract valuable information, and provide support for corporate decision-making. Summary of the invention

[0004] The present invention provides a device data management method, apparatus, electronic device and readable storage medium to achieve the technical effects of accurately monitoring devices and effectively managing device data, so as to solve the technical problems corresponding to the technical effects.

[0005] According to a first aspect of the present invention, there is provided a device data management method, comprising:

[0006] Construct a mapping relationship between equipment data and physical equipment;

[0007] Equipment data modeling and management to provide data sets for data applications;

[0008] The device data modeling and management includes:

[0009] Catalog management, which is used to summarize and organize device types and device instances to form a catalog;

[0010] Device type management, used to manage multiple different types of devices;

[0011] Device instance management is used to manage specific, individual devices.

[0012] Preferably, in the device type management, the user customizes the device type and adds, modifies or deletes the device type according to actual needs; the basic information of the device type includes at least one of the device type name, device number, device type number, connection disconnection judgment duration, measurement point data storage source, event data storage source and status data storage source.

[0013] Preferably, in the device type management, at least one of measurement point definition, event definition and state definition is provided; wherein,

[0014] The measurement point definition is used to describe the measurement point on the device, wherein the attribute of the device data model is the measurement point;

[0015] The event definition is used to describe the events that may occur during the operation of the device and the triggering conditions and levels of the events;

[0016] The state definition is used to describe the possible states of a device and the conditions for state transitions.

[0017] Preferably, the measuring point definition includes at least one of a measuring point group number, a measuring point group, a measuring point number, a measuring point name, a data type, a unit, a processing rule, a description, a message identifier, and an identifier type;

[0018] In the event definition, the possible event includes at least one of a failure, an alarm, and maintenance;

[0019] In the state definition, the possible states of the device include at least one of a running state, a standby state and a fault state.

[0020] Preferably, the device instance is an instance of a device type, and the instance is a digital object that maps a device, space, etc., and has the characteristics defined in the device type; and / or

[0021] The device instance has the functions of adding, deleting, modifying and checking.

[0022] Preferably, data monitoring is provided in the device instance management, and the data monitoring is used to monitor and / or analyze data collected in real time or periodically during the operation of the device; the object of the data monitoring includes at least one of the device's measurement point information, event information and status information.

[0023] Preferably, in the data monitoring, the measuring point data of the measuring point information are monitored and displayed, the measuring point data are the values ​​of each measuring point, and the measuring point data include at least one of temperature, humidity, pressure, flow and voltage; and / or the measuring point data that meet the screening conditions are analyzed, and the analysis content includes at least one of the number of null values, mean value, standard deviation, maximum value, upper quartile, median, lower quartile, minimum value, IQR, IQR method upper limit, IQR method lower limit, number of exceeding upper limit and number of exceeding lower limit of the measuring point data; and / or

[0024] In the data monitoring, the event data of the event information is monitored and displayed, and the event data is an event that records events that occur during the operation of the device, and the event data includes at least one of switching programs, water shortage, and (Z) negative overtravel; and / or the event data that meets the screening conditions are analyzed, and the analysis content includes at least one of the analysis of the number of occurrences of event types, the number of occurrences of common events, the number of occurrences of each alarm type, the alarm duration of each alarm type, the number of occurrences of alarm levels, the duration of occurrence of each alarm level, the number of occurrences of each alarm event, and the duration of occurrence of each alarm event; and / or

[0025] In the data monitoring, the status data of the status information is monitored and displayed, the status data is used to record the current status of the device, and the status data includes at least one of the running status, the standby status and the fault status. And / or the status data that meets the screening conditions is analyzed, and the analysis content includes at least one of the proportion of each state duration and the comparison of each state duration of the device.

[0026] According to a second aspect of the present invention, there is provided a device data management apparatus, comprising:

[0027] A mapping construction module, used to construct a mapping relationship between device data and physical device objects; and

[0028] Data processing module, used for equipment data modeling and management, providing data sets for data applications;

[0029] Wherein, the data processing module includes:

[0030] A catalog management module is used to summarize and organize device types and device instances to form a catalog;

[0031] A device type management module for managing multiple different types of devices; and

[0032] The device instance management module is used to manage specific, individual devices.

[0033] According to a third aspect of the present invention, there is provided an electronic device, comprising the following steps:

[0034] Memory; and

[0035] processor;

[0036] Wherein, the memory is used to store one or more computer instructions; the one or more computer instructions are executed by the processor to implement any of the methods described above.

[0037] According to a fourth aspect of the present invention, a readable storage medium is provided, on which computer instructions are stored; wherein when the computer instructions are executed by a processor, any of the methods described above is implemented.

[0038] The technical solution of the present invention can accurately monitor the operating status, performance and potential problems of the equipment based on the parameters of the monitoring equipment, predict possible equipment failures, and take maintenance measures in advance to prevent production interruptions or safety accidents caused by equipment failures. By analyzing and predicting equipment data, predictive maintenance strategies can be implemented to reduce equipment downtime and maintenance costs.

[0039] The technical solution of the present invention can be used for incubator equipment, and health monitoring of the incubator equipment can be performed based on the Internet of Things technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic diagram of device type management in an embodiment;

[0041] Figure 2 is a schematic diagram of device type management-measurement point definition in an embodiment;

[0042] Figure 3 is a schematic diagram of device type management-event definition in an embodiment;

[0043] Figure 4 is a schematic diagram of device type management-state definition in an embodiment;

[0044] Figure 5 is a schematic diagram of device instance management in an embodiment;

[0045] Figure 6 is a schematic diagram of device instance-data monitoring-event information in an embodiment;

[0046] Figure 7 is a schematic diagram of device instance-data monitoring-status information in an embodiment;

[0047] Figure 8 is a schematic diagram of device instance-data monitoring-measurement point information in an embodiment;

[0048] Fig. 9is a schematic diagram of a device instance-measurement point data list in an embodiment;

[0049] Fig.10 is a schematic diagram of a device instance-measurement point data analysis in an embodiment;

[0050] Fig.11 is a schematic diagram of a device instance-event data list in an embodiment;

[0051] Fig.12 is a schematic diagram of device instance-event data analysis in an embodiment;

[0052] Fig.13 is a schematic diagram of a device instance-state data list in an embodiment;

[0053] Fig.14 is a schematic diagram of device instance-state data analysis in an embodiment;

[0054] Fig.15 is a flow chart of a device data management method in an embodiment;

[0055] Fig.16 The diagram is a schematic diagram of the structure of a device data management apparatus in an embodiment. DETAILED DESCRIPTION

[0056] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0057] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution in one embodiment will be clearly and completely described below in conjunction with the drawings in one embodiment. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to describe the embodiments of the present invention described herein. In addition, the terms "including the following steps" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed in the following steps or are inherent to these processes, methods, products or devices.

[0059] It should be understood that when an element (such as a layer, film, region, or substrate) is described as being "on" another element, the element may be directly on the other element, or there may be an intermediate element. Moreover, in the present invention, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element, or "connected" to the other element through a third element.

[0060] Embodiment 1

[0061] Please refer to Fig.15 , this embodiment provides a device data management method, comprising the following steps:

[0062] S1. Through the standardized definition of the physical model of the equipment, the mapping relationship between the equipment data and the physical equipment is established;

[0063] S2. Equipment data modeling and management, used to organize and manage equipment data and provide standardized and governed data sets for data applications;

[0064] Wherein, step S2 comprises the following steps:

[0065] S21. Catalog management, used to standardize and organize device types and device instances to form a complete catalog;

[0066] S22. Device type management, used to manage multiple different types of devices;

[0067] S23. Device instance management is used to manage specific, individual devices.

[0068] In one embodiment, in the device type management, the user defines the device type and adds, modifies or deletes the device type according to actual needs. The basic information of the device type includes at least one of the device type name, device number, device type number, connection and disconnection judgment time, measurement point data storage source, event data storage source and status data storage source. For detailed description of each item, please refer to the following embodiment.

[0069] In one embodiment, the device type management includes at least one of a measurement point definition, an event definition, and a state definition. The measurement point definition is used to describe the measurement point on the device, wherein all attributes of the device data model are measurement points; the measurement point definition includes at least one of a measurement point group number, a measurement point group, a measurement point number, a measurement point name, a data type, a unit, a processing rule, a description, a message identifier, and an identifier type. For a detailed description of each item, see the following embodiment.

[0070] In one embodiment, the event definition is used to describe events that may occur during the operation of the device and the triggering conditions and levels of the events; the possible events include at least one of failures, alarms, and maintenance.

[0071] In one embodiment, the state definition is used to describe possible states of a device and conditions for state transitions; the possible states of the device include at least one of a running state, a standby state, and a fault state.

[0072] In one embodiment, the device instance is an instance of a device type, and the instance is a digital object that maps a device, space, etc., and has all the features defined in the device type. Preferably, the device instance has the functions of adding, deleting, modifying, and checking.

[0073] In one embodiment, data monitoring is provided in the device instance management, and the data monitoring is used to monitor and / or analyze data collected in real time or periodically during the operation of the device; the object of the data monitoring includes at least one of the device's measurement point information, event information, and status information.

[0074] In one embodiment, in the data monitoring, the measuring point data of the measuring point information is monitored and displayed, the measuring point data is the value of each measuring point, and the measuring point data includes at least one of temperature, humidity, pressure, flow and voltage; and / or the measuring point data that meets the screening conditions are analyzed, and the analysis content includes at least one of the number of null values, mean value, standard deviation, maximum value, upper quartile, median, lower quartile, minimum value, IQR, IQR method upper limit, IQR method lower limit, number of exceeding upper limit and number of exceeding lower limit of the measuring point data.

[0075] In one embodiment, in the data monitoring, event data of the event information is monitored and displayed, and the event data is an event that records events that occur during the operation of the device, and the event data includes at least one of switching programs, water shortage, and (Z) negative overtravel; and / or the event data that meets the screening conditions are analyzed, and the analysis content includes at least one of event type occurrence frequency analysis, common event occurrence frequency analysis, each alarm type occurrence frequency analysis, each alarm type alarm duration analysis, alarm level occurrence frequency analysis, each alarm level occurrence duration analysis, each alarm event occurrence frequency analysis, and each alarm event occurrence duration analysis.

[0076] In one embodiment, in the data monitoring, the status data of the status information is monitored and displayed, the status data is used to record the current status of the device, and the status data includes at least one of the running status, the standby status and the fault status. And / or the status data that meets the screening conditions is analyzed, and the analysis content includes at least one of the proportion of each state duration and the comparison of each state duration of the device.

[0077] The device data management method of the present invention can accurately monitor the operating status, performance and potential problems of the equipment by monitoring the parameters of the equipment through sensors based on the Internet of Things technology, so as to predict possible equipment failures and take maintenance measures in advance to prevent production interruptions or safety accidents caused by equipment failures. By analyzing and predicting equipment data, enterprises can implement predictive maintenance strategies to reduce equipment downtime and maintenance costs.

[0078] Embodiment 2

[0079] Please refer to Figure 1-Figure 15 This embodiment provides a device data management method, which is explained below from the perspective of research and development or technical implementation for easy reading and understanding; and is presented with the help of accompanying drawings, in order to clearly and completely explain the technical solution of the present invention and highlight the inventive points and important links of the technical solution of the present invention.

[0080] Based on the IoT platform, we model and manage device data, and build a mapping relationship between device data and physical devices through the standardized definition of the device physical model. The core function is to organize and manage device data and provide standardized and governed data sets for data applications.

[0081] Furthermore, device data modeling and management include: catalog management, device type management and device instance management. Among them, catalog management is to form a complete catalog by standardizing and organizing device types and device instances, providing a foundation and framework for objects. Device type management refers to the systematic and standardized management of various types of devices. By implementing device type management, users can achieve comprehensive control over the devices. In addition, device data modeling and management supports users to define device types, including basic information such as device type name, number, connection and disconnection judgment time, and storage source of measurement point data, event data, and status data, and can add, modify or delete device types according to actual needs. Device instance is an instance of a device type. An instance is a digital object that maps devices, spaces, etc., and has all the characteristics defined in the device type. Device instance management is a comprehensive management of specific and individual devices; it also provides the functions of adding, deleting, modifying and checking this type of "device".

[0082] This will be described in detail below with reference to the accompanying drawings.

[0083] Figure 1 It shows the device type management; the device type management describes the basic information of the device type, such as the device type number, device type name, connection and disconnection judgment time, measurement point data storage source, event data storage source, status data storage source, etc.

[0084] Device type management function description:

[0085]

[0086] Figure 2 The device type information - measurement point definition design is shown; the measurement point definition is used to describe the measurement points on the device, and all attributes of the data model are measurement points. The measurement point definition mainly includes the measurement point group number, measurement point group, measurement point number, measurement point name, data type, unit, processing rule, description, message identifier, and identifier type.

[0087] Measuring point definition function description:

[0088] Serial number content illustrate 1 Measuring point group number Defines a group of related measurement points 2 Measuring point group The name of the relevant measuring point

[0089] Figure 3 It shows the device type information - event definition design; the event definition describes the events that may occur during the operation of the device (such as failures, alarms, maintenance, etc.) as well as the triggering conditions and levels of the events.

[0090] Event definition function description:

[0091]

[0092]

[0093] Figure 4 The device type information - state definition design is displayed; the state definition describes the possible states of the device (such as running state, standby state, fault state, etc.) and the conditions for state transition.

[0094] State definition function description:

[0095]

[0096] Figure 1 It shows the device instance-device information design; in device instance management, a device instance is an instance of a device type. An instance is a digital object that maps devices, spaces, etc., and has all the characteristics defined in the device type. Device instance management is a comprehensive management of specific, individual devices. It also provides the functions of adding, deleting, modifying, and checking this type of "device".

[0097] The device information generally includes the basic information of the device, including: device number, device name, device type number, device type name, connection and disconnection judgment time, storage source of measurement point data, event data, and status data, such as Figure 5 .

[0098]

[0099]

[0100] Figure 2-Figure 8 The device instance - data monitoring is shown. Regarding the device information description, data monitoring mainly monitors the data collected in real time or periodically during the operation of the device, which can understand the operating status, performance and possible problems of the device. The data monitoring of the device instance generally includes the event information, status information and measurement point information of the device.

[0101] The data monitoring page supports automatic refresh and manual refresh. When automatic refresh is checked, the refresh interval can be selected.

[0102] (1) Event information

[0103] Display the latest event information of the device, such as Figure 6 .

[0104] Data monitoring-event information function description:

[0105]

[0106] (2) Status information

[0107] Display the latest status information of the device, such as Figure 7 .

[0108] Data monitoring-status information function description:

[0109] Serial number content illustrate 1 Status Type Classification or category of status 2 Current state code Unique identifier for each state so it can be tracked and referenced across the system 3 Current state name A short description or title of the status 4 Has lasted The duration of the state from the occurrence to the current time 5 Update time Record the timestamp of the last update or status change

[0110] (3) Measurement point information

[0111] Display the latest measurement point information of the device, such as Figure 8 .

[0112] Data monitoring-measurement point information function description:

[0113]

[0114] Figure 3 Displays the equipment instance - measurement point data list; the data of each measurement point on the equipment, according to the content of the measurement point information in the above data monitoring, monitors and displays the values ​​of each measurement point, such as temperature, humidity, pressure, flow, voltage, etc. Fig. 9 .

[0115] Measuring point data function description:

[0116] Serial number content illustrate 1 Collection time Indicates the time point when the data was recorded 2 Equipment No. The device number of the measurement point collected 3 Device Name The name of the device where the measurement point was collected 4 Measuring point Specific parameters measured or monitored 5 Measuring point value The value actually read or calculated from the measuring point

[0117] At the same time, it provides analysis of the measurement point data that meets the screening conditions. Click the "Analysis" button on the page to display the analysis results of the measurement points that meet the conditions. The analysis content includes the number of null values, mean value, standard deviation, maximum value, upper quartile, median, lower quartile, minimum value, IQR, IQR upper limit, IQR lower limit, number of exceeding the upper limit, and number of exceeding the lower limit of the equipment measurement point data. The specific analysis results are as follows: Fig.10 .

[0118] Figure 4 The device instance-event data list is displayed; event data is used to record events that occur during the operation of the device. According to the content of the event definition in the above data monitoring, each event data value is monitored and displayed, such as switching programs, water shortage, (Z) negative overtravel and other events.

[0119] Event data function description:

[0120]

[0121]

[0122] At the same time, it provides analysis of event data that meets the filtering conditions. Click the "Analysis" button on the page to display the analysis results of events of different categories; including analysis of the number of occurrences of event types, analysis of the number of occurrences of common events, analysis of the number of occurrences of each alarm type, analysis of the alarm duration of each alarm type, analysis of the number of occurrences of alarm levels, analysis of the duration of occurrence of each alarm level, analysis of the number of occurrences of each alarm event, and analysis of the duration of occurrence of each alarm event. Fig.12 .

[0123] Fig.13 The device instance-status data list is displayed; the status data is used to record the current status of the device, such as running status, standby status, fault status, etc. According to the status definition in the above data monitoring, each status data value is monitored and displayed, and the device status is displayed through the device operation Gantt chart.

[0124] Status data function description:

[0125] Serial number content illustrate 1 Status start time The specific time when the state started 2 Status end time The specific time when the status ends 3 Equipment No. The device number of the measurement point collected 4 Device Name The name of the device where the measurement point was collected 5 Duration A code or identifier that uniquely identifies a specific event 6 Status Type For status classification 7 Status Code Unique identifier for each state 8 Status Name A descriptive name for the status

[0126] At the same time, it provides analysis of the status data that meets the filtering conditions. Click the "Analysis" button on the page to display the analysis results of the status data that meets the conditions, including the proportion of each status duration (in hours) and the comparison of the duration of each status of the device (in hours). Fig.14 .

[0127] The equipment data management method of the present invention monitors equipment parameters, accurately monitors the operating status, performance and potential problems of the equipment, can predict possible equipment failures, and take maintenance measures in advance to prevent production interruptions or safety accidents caused by equipment failures.

[0128] Embodiment 3

[0129] Please refer to Fig.16 , this embodiment provides a device data management device, which adopts the following form:

[0130] 1. Mapping building blocks

[0131] The mapping construction module 10 is used to construct a mapping relationship between device data and physical device;

[0132] 2. Data processing module

[0133] The data processing module 20 is used for equipment data modeling and management, and provides standardized and managed data sets for data applications;

[0134] Among them, the data processing module 20 includes a directory management module 201, a device type management module 202 and a device instance management module 203; the directory management module 201 is used to standardize and summarize device types and device instances to form a complete directory; the device type management module 202 is used to manage multiple different types of devices; the device instance management module 203 is used to manage specific, individual devices.

[0135] It should be noted that the above device is used to implement the methods in the above embodiments, and each module in the device corresponds to each step in the method.

[0136] Embodiment 4

[0137] Based on the same inventive concept, an embodiment of the present invention provides an electronic device, comprising the following steps: a memory and a processor; wherein the memory is used to store one or more computer instructions; and the one or more computer instructions are executed by the processor as a method of any one of the above embodiments.

[0138] Embodiment 5

[0139] Based on the same inventive concept, an embodiment of the present invention provides a readable storage medium, on which computer instructions are stored; wherein, when the computer instructions are executed by a processor, any method in the above embodiments is implemented.

[0140] Among them, the above one or more computer instructions can be formed into a program.

[0141] The above program can be run in a processor, or it can be stored in a memory (or computer-readable medium), which includes the following steps: Permanent and non-permanent, removable and non-removable media can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, modules of programs or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined in this article, computer-readable media does not include the following steps: temporary storage of computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0142] These computer programs can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps of the functions specified in one or more blocks can be implemented by different modules corresponding to different steps.

[0143] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A device data management method, characterized in that: include: Construct a mapping relationship between equipment data and physical equipment; Equipment data modeling and management to provide data sets for data applications; The device data modeling and management includes: Catalog management, which is used to summarize and organize device types and device instances to form a catalog; Device type management, used to manage multiple different types of devices; Device instance management is used to manage specific, individual devices.

2. The device data management method according to claim 1, characterized in that: In the device type management, users define device types and add, modify or delete device types according to actual needs; the basic information of the device type includes at least one of the device type name, device number, device type number, connection disconnection judgment duration, measurement point data storage source, event data storage source and status data storage source.

3. The device data management method according to claim 1 or 2, characterized in that: In the device type management, at least one of measurement point definition, event definition and state definition is provided; wherein, The measurement point definition is used to describe the measurement point on the device, wherein the attribute of the device data model is the measurement point; The event definition is used to describe the events that may occur during the operation of the device and the triggering conditions and levels of the events; The state definition is used to describe the possible states of a device and the conditions for state transitions.

4. The device data management method according to claim 3, characterized in that: The measuring point definition includes at least one of a measuring point group number, a measuring point group, a measuring point number, a measuring point name, a data type, a unit, a processing rule, a description, a message identifier, and an identifier type; In the event definition, the possible event includes at least one of a failure, an alarm, and maintenance; In the state definition, the possible states of the device include at least one of a running state, a standby state and a fault state.

5. The device data management method according to claim 1, characterized in that: The device instance is an instance of a device type, and the instance is a digital object that maps a device, space, etc., and has the characteristics defined in the device type; and / or The device instance has the functions of adding, deleting, modifying and checking.

6. The device data management method according to claim 1 or 5, characterized in that: In the device instance management, data monitoring is provided, and the data monitoring is used to monitor and / or analyze the data collected in real time or periodically during the operation of the device; the object of the data monitoring includes at least one of the device's measurement point information, event information and status information.

7. The device data management method according to claim 6, characterized in that: In the data monitoring, the measuring point data of the measuring point information are monitored and displayed, the measuring point data are the values ​​of each measuring point, and the measuring point data include at least one of temperature, humidity, pressure, flow rate and voltage; and / or the measuring point data that meet the screening conditions are analyzed, and the analysis content includes at least one of the number of null values, mean value, standard deviation, maximum value, upper quartile, median, lower quartile, minimum value, IQR, IQR method upper limit, IQR method lower limit, number of exceeding the upper limit and number of exceeding the lower limit of the measuring point data; and / or In the data monitoring, the event data of the event information is monitored and displayed, and the event data is an event that records events that occur during the operation of the device, and the event data includes at least one of switching programs, water shortage, and (Z) negative overtravel; and / or the event data that meets the screening conditions are analyzed, and the analysis content includes at least one of the analysis of the number of occurrences of event types, the number of occurrences of common events, the number of occurrences of each alarm type, the alarm duration of each alarm type, the number of occurrences of alarm levels, the duration of occurrence of each alarm level, the number of occurrences of each alarm event, and the duration of occurrence of each alarm event; and / or In the data monitoring, the status data of the status information is monitored and displayed, the status data is used to record the current status of the device, and the status data includes at least one of the running status, the standby status and the fault status. And / or the status data that meets the screening conditions is analyzed, and the analysis content includes at least one of the proportion of each state duration and the comparison of each state duration of the device.

8. A device data management device, characterized in that: include: A mapping construction module is used to construct a mapping relationship between device data and physical devices; and Data processing module, used for equipment data modeling and management, providing data sets for data applications; Wherein, the data processing module includes: A catalog management module is used to summarize and organize device types and device instances to form a catalog; A device type management module for managing multiple different types of devices; and The device instance management module is used to manage specific, individual devices.

9. An electronic device, characterized in that: The following steps are involved: Memory; and processor; Wherein, the memory is used to store one or more computer instructions; the one or more computer instructions are executed by the processor to implement the method described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores computer instructions; wherein, when the computer instructions are executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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