WO2022247519A1 - 一种物模型设备管理方法、装置、设备、系统及存储介质 - Google Patents

一种物模型设备管理方法、装置、设备、系统及存储介质 Download PDF

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Publication number
WO2022247519A1
WO2022247519A1 PCT/CN2022/087175 CN2022087175W WO2022247519A1 WO 2022247519 A1 WO2022247519 A1 WO 2022247519A1 CN 2022087175 W CN2022087175 W CN 2022087175W WO 2022247519 A1 WO2022247519 A1 WO 2022247519A1
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Prior art keywords
data
target
entity
object model
target entity
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PCT/CN2022/087175
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English (en)
French (fr)
Inventor
丁建隆
蔡昌俊
俞军燕
陆桥
罗成刚
金辉
胡长鸿
陈希隽
陈剑锋
王晓夏
桂天清
王迪军
赖文海
刘建委
艾义
高杰
李永韬
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广州地铁集团有限公司
腾讯科技（深圳）有限公司
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Publication of WO2022247519A1 publication Critical patent/WO2022247519A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present invention relates to the field of computer technology, in particular to a device operation management method, device and device, and a storage medium.
  • Networks such as IoT can connect various electronic devices, realize the interconnection of all things on the basis of computer networks, mobile communication networks, etc., and form a huge network by combining various devices and networks, realizing anytime, anywhere People and machines are interconnected.
  • the machine equipment that generally requires interaction needs to be a smart device.
  • a server can easily establish a connection with smart devices such as mobile phones, TVs, and notebooks to realize interconnection and realize device management.
  • smart devices such as mobile phones, TVs, and notebooks
  • these traditional equipment can also be automatically controlled by remote controls and the like, and can also transmit some basic information and data, they are not intelligent enough. It cannot be conveniently added to networks such as the Internet of Things, which makes the management of these devices not convenient enough.
  • Embodiments of the present application provide a device operation management method, device, device, and storage medium, which can realize intelligent management of some devices through configured object models.
  • the embodiment of the present application provides a device operation management method, which is applied to a smart device, and the smart device is used for data interaction with physical devices in the working environment, and the smart device is configured with a set of object models,
  • the set of object models includes one or more object models, and each object model is associated with a physical device in the working environment; the method includes:
  • the target object model is configured for the target entity device according to the collected entity description information of the target entity device and the Internet of Things platform Generated by entity tag information;
  • the embodiment of the present application also provides another device operation management method, which is applied to the management device, the management device is set on the Internet of Things platform, and the management device is used for data interaction with the smart device.
  • An object model set is configured in the smart device, and the object model set includes one or more object models, and each object model is associated with an entity device in the working environment; the method includes:
  • performing operation management includes: performing data display management processing on the target entity device according to the data reporting message, sending any one or a combination of the two control instructions to the smart device according to the data reporting message, and the controlling The instruction is used to trigger the smart device to control the operation of the target entity device through the target object model.
  • the embodiment of the present invention also provides a device operation management device, the device is set in the smart device, and the smart device is used for data interaction with the physical device in the working environment, and the smart device is configured There is a set of object models, the set of object models includes one or more object models, and each object model is associated with a physical device in the working environment; the device includes:
  • the acquisition unit is used to call the target object model to obtain the operating data of the target entity device associated with the target object model; the target object model is based on the collected entity description information of the target entity device, and the IoT platform is generated by the entity tag information configured by the target entity device;
  • a processing unit configured to process the operating data through the target object model to obtain a data reporting message of the target entity device; the format of the data reporting message is determined when the target object model is constructed;
  • the processing unit is further configured to send the data reporting message to the IoT platform, so as to trigger the IoT platform to perform operation management on the target physical device.
  • the embodiment of the present invention also provides another device operation management device, the device is set in the management device, the management device is set on the Internet of Things platform, and the management device is used for data interaction with smart devices , the smart device is configured with a set of object models, the set of object models includes one or more object models, and each object model is associated with a physical device in the working environment; the device includes:
  • a receiving unit configured to receive a data reporting message generated by the smart device, where the data reporting message is obtained by the smart device processing the operating data of the target entity device through the target object model;
  • a management unit configured to perform operation management on the target entity device according to the data reporting message
  • performing operation management includes: performing data display management processing on the target entity device according to the data reporting message, sending any one or a combination of the two control instructions to the smart device according to the data reporting message, and the controlling The instruction is used to trigger the smart device to control the operation of the target entity device through the target object model.
  • an embodiment of the present invention also provides a smart device, the smart device is used for data interaction with physical devices in the working environment, the smart device is configured with a set of object models, and the set of object models includes One or more object models, each object model is associated with a physical device in the working environment; the smart device includes:
  • a processor adapted to execute a computer program
  • a computer-readable storage medium where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the above-mentioned device operation management method is realized.
  • the embodiment of the present invention also provides a management device, the management device is set on the Internet of Things platform, and the management device is used for data interaction with the smart device, and the smart device is configured with a collection of object models, so
  • the object model set includes one or more object models, each object model is associated with an entity device in the working environment;
  • the management device includes:
  • a processor adapted to execute a computer program
  • a computer-readable storage medium where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the above-mentioned device operation management method is realized.
  • an embodiment of the present invention also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is adapted to be loaded by a processor and execute the above-mentioned device operation management method.
  • the embodiment of the present application also provides a computer program product or computer program, where the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium.
  • the processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the above method.
  • FIG. 1 is a schematic structural diagram of a system related to equipment operation management according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a device operation management method according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of another method for operating and managing equipment according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of the structure of the data flow process based on the object model of the embodiment of the present application.
  • Fig. 5 is a schematic diagram of the construction process of the object model of the embodiment of the present application.
  • Figure 6a is a schematic diagram of the construction of the object model of the embodiment of the present application.
  • Figure 6b is a schematic diagram of the construction of the DIM in Figure 6a in the embodiment of the present application.
  • Fig. 7a is a schematic diagram of a user interface involved in the embodiment of the present application.
  • Fig. 7b is a schematic diagram of another user interface involved in the embodiment of the present application.
  • Fig. 7c is a schematic diagram of another user interface involved in the embodiment of the present application.
  • Fig. 8a is a schematic flowchart of a method for constructing a model data structure according to an embodiment of the present application
  • Fig. 8b is a schematic flow chart of a device management method based on the Internet of Things according to an embodiment of the present application.
  • FIG. 9 is a schematic flowchart of another method for operating and managing equipment according to an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of an operation management device for equipment according to an embodiment of the present application.
  • Fig. 11 is a schematic structural diagram of another equipment operation management device according to the embodiment of the present application.
  • FIG. 12 is a schematic structural diagram of a smart device according to an embodiment of the present application.
  • Fig. 13 is a schematic structural diagram of a management device according to an embodiment of the present application.
  • the embodiment of this application involves a system composed of physical devices, intermediate devices, and IoT platforms.
  • Physical devices refer to some specific devices that come into contact with users. For example, in urban rail transit scenarios, these physical devices can be elevators in subway stations. , turnstiles, ticket vending machines, and even some electric fans, electronic thermometers and other equipment.
  • physical equipment mainly refers to some equipment that can interact with other equipment such as machine codes of binary data, for example, as an entity
  • the temperature and humidity meter of the device can report the temperature and humidity readings of the temperature and humidity meter through the binary machine code, and the electric fan as a physical device can report whether it is on or off through the binary machine code.
  • the intermediate device is one or more smart devices.
  • the physical devices are connected to the smart devices through gateways, routers and other devices.
  • An associated object model is configured for each physical device on the smart device.
  • the smart device collects edge data through the object model. And report the relevant data of the physical equipment to the Internet of Things platform through the physical model, and at the same time control the physical equipment through the physical model.
  • the described object model is a digital abstract description of the physical device, describing what the relevant type of physical device is, what it can do, and what services it can provide externally.
  • the physical model is to digitize the physical equipment in the physical space, and format the physical equipment in the physical space by constructing a data model of the physical equipment.
  • Figure 1 the rail transit environment is taken as an example.
  • various specific services The user's physical device, the smart device 102 configured with the object model of each physical device, and the IoT platform 103, the IoT platform 103 may be composed of one or more servers.
  • the physical equipment includes a monitoring camera 1011 , an elevator 1012 , a temperature and humidity meter 1013 , and a gate 1014 in FIG. 1 .
  • the IoT platform 103 can be implemented based on cloud technology.
  • Cloud technology refers to unifying a series of resources such as hardware, software, and network in a wide area network or a local area network to realize data calculation, storage, and processing. and shared hosting technology.
  • Cloud technology (Cloud technology) is a general term for network technology, information technology, integration technology, management platform technology, application technology, etc. based on cloud computing business model applications. It can form a resource pool, which can be used on demand and is flexible and convenient. Cloud computing technology will become an important support.
  • the background services of technical network systems require a lot of computing and storage resources, such as video websites, picture websites and more portal websites.
  • each item may have its own identification mark in the future, which needs to be transmitted to the background system for logical processing.
  • Data of different levels will be processed separately, and all kinds of industry data need to be powerful.
  • the system backing support can be realized through cloud computing.
  • IOT Internet of things, Internet of Things
  • IOT Internet of things, Internet of Things
  • devices and technologies such as information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, and laser scanners. or process, collect the necessary information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and realize the ubiquitous connection between things and things, things and people through various possible network accesses, and realize Intelligent perception, identification and management of items and processes.
  • the Internet of Things is an information carrier based on the Internet, traditional telecommunication networks, etc. It allows all ordinary physical objects that can be independently addressed to form an interconnected network.
  • Cloud IoT aims to connect the information sensed and accepted instructions of sensor devices in the traditional Internet of Things to the Internet, truly realize networking, and realize massive data storage and computing through cloud computing technology. Due to the Internet of Things The characteristic is that things are connected to each other, and the current operating status of each "object" can be sensed in real time. In this process, a large amount of data information will be generated. How to summarize these information and how to screen out useful information from massive information to make decisions for subsequent development These have become key issues affecting the development of the Internet of Things, and the Internet of Things cloud based on cloud computing and cloud storage technology has therefore become a strong support for Internet of Things technologies and applications.
  • the smart device or management device involved in the embodiment of the present application may specifically be a server, and the server may be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers.
  • the physical device can be various devices that can directly serve users, such as the above-mentioned elevators, gates, electronic temperature and humidity meters, etc., but is not limited thereto.
  • the physical device and the smart device may be directly or indirectly connected through wired or wireless communication, which is not limited in this application.
  • both smart devices and management devices can be part of the IoT platform 103 .
  • FIG. 2 is a schematic flowchart of a device operation management method according to an embodiment of the present application.
  • the method described in the embodiment of the present application can be implemented by a smart device, and the smart device is used to communicate with physical devices in the working environment.
  • the smart device may be, for example, a server.
  • the smart device can be configured in an actual working environment, such as a station, dock, park, etc. In these working environments, each physical device is connected to the smart device through a router, a gateway, etc. interact.
  • the smart device can also be used as a part of the Internet of Things platform in the Internet of Things, and is used to connect with various physical devices through a computer network and a mobile communication network to realize data interaction with various physical devices.
  • the smart device is configured with a set of object models, the set of object models includes one or more object models, and each object model is associated with a physical device in the working environment, and the physical device mainly refers to some objects that can be connected with Other devices interact with devices such as binary machine code.
  • the method in the embodiment of the present application may specifically include the following steps.
  • the target object model is a digital abstract description of the target physical equipment.
  • the target object model is constructed based on two aspects of information, covering equipment data required by industrial control in different dimensions.
  • one aspect is about the target
  • the information of the physical device can specifically include the device information that has been determined after the target physical device leaves the factory, manufacturer information, data that can be reported after the device is started, and device instruction data that can be used to control the operation of the target physical device.
  • the information allocated by the IoT platform to the target physical device can specifically be the device ID generated by the IoT platform, the PID (Product Identification) of the product, and the data point of the product.
  • the operating data of the target physical device mainly refers to the data involved in the running process of the target physical device.
  • the running process of the physical device mentioned in this application means that the physical device is not offline after connecting to the IoT platform, which can be understood Because the physical device is in the process of running, and when the physical device is disconnected from the network and no longer connected to the Internet of Things, it can be considered that the physical device is offline rather than in the process of running.
  • the operating data may include data such as the operating current, voltage, temperature, etc. of the target entity device during operation, as well as state data such as whether it is on or off. For physical devices such as elevators, it also includes the rated speed and current working speed of the elevator, etc. and other data.
  • the target entity device can transmit these operating data to the smart device.
  • the target physical device For the target physical device, it transmits operating data, receives data, receives control, etc. according to the factory-set rules, and does not need special settings.
  • the interaction between the target physical device and the IoT platform is through the corresponding target physical device. done with the physical model.
  • S202 Process the operating data through the target object model to obtain a data reporting message of the target entity device; the format of the data reporting message is determined when the target object model is constructed. Processing the operating data in this step mainly includes processing the data to be reported into data in a specified message format, and the data reporting message is the format-processed data.
  • the data to be reported is determined when the target object model is built.
  • the target physical device is an electronic temperature-hygrometer. When building the target object model, it is defined that the electronic temperature-hygrometer needs to report the monitored data such as temperature and humidity. It can report the alarm data of whether the electronic temperature and humidity meter can issue an alarm when a fault occurs, and the like.
  • the object model constructed in the embodiment of the present application unifies the message format reported by the physical device, and the fixed JSON format (a lightweight data storage format that has nothing to do with the development language) can be used in the constructed object model to carry different types of
  • the data of the physical equipment enables the cloud service of the IoT platform to quickly identify the operating status of the physical equipment, and then carry out necessary control and management of the physical equipment to guide the actual production operations.
  • the IoT platform in the embodiment of the present application may be composed of one or more servers, and the operation management of the target entity device by the IoT platform includes: storing data reporting messages or data extracted from data reporting messages to the specified database, so that the stored data can be retrieved and viewed later as needed, and data storage management can be realized; the data reporting message or the data extracted from the data reporting message can be displayed on the user interface, which is convenient for users to view each Relevant information of a physical device, such as the temperature value and humidity value of the above-mentioned thermo-hygrometer, realizes real-time display and management of data; it can send an alarm notification to the administrator user according to the alarm data in the data report message, and the administrator user It is also possible to send a shutdown command to the smart device through the IoT platform, and the smart device further sends a shutdown command to the target physical device through the target object model according to the
  • the smart device configured with the object model for the physical device, and the Internet of Things platform can more effectively connect specific physical devices in the real world, such as elevators and rolling doors, to the Internet of Things , this solution makes it possible for some physical IoT devices to be mapped into spatial data.
  • the reporting and management of online and shutdown status data, device detection and detection index data, and device alarm notification data can be realized to a certain extent. Accelerates the process of digital transformation in various physical work scenarios.
  • FIG. 3 is a schematic flowchart of another device operation management method according to the embodiment of the present application.
  • the method in the embodiment of the present application can be implemented by the above-mentioned smart device.
  • the method in the embodiment of the present application may specifically include the following steps.
  • the machine data here refers to the binary machine code sent by some physical devices, and the target physical device can pass the data to the smart device through an access module (such as a gateway device).
  • the target physical device can refer to some devices that can send and receive data and receive control, such as a temperature and humidity meter that can report temperature and humidity values and can be turned off by remote control, can upload running speed, whether there is a fault, and can be turned off by remote control elevator etc.
  • S302 Perform protocol conversion on the received machine data, and convert the machine data into computer character data that can be recognized by the object model.
  • the protocol conversion performed in S302 is mainly to convert binary machine codes into characters that can be recognized by computer programs.
  • the physical device is an intelligent terminal, which can be connected to the IoT platform and directly generate data reporting messages according to the requirements of the IoT platform, and these intelligent terminals can Transit, or may not transmit through the smart device, and send the data to be reported to the IoT platform.
  • S303 Input the computer character data into the target object model as the operation data of the target entity device.
  • the target object model is generated according to the collected entity description information of the target entity device and the entity tag information configured by the IoT platform for the target entity device.
  • For the converted computer character data it can be screened based on preset rules, from which the computer character data that needs to be reported is selected and input into the target object model. For example, for an electronic temperature and humidity meter, it is only necessary to filter statistical temperature values, Computer character data such as humidity value and device name, and filter out unnecessary data such as voltage and current of the electronic temperature and humidity meter.
  • S304 Process the operating data through the target object model to obtain a data reporting message of the target entity device; the format of the data reporting message is determined when the target object model is constructed.
  • the obtained data reporting message is data in JSON format.
  • S305 Encrypt the data reporting message by using the public key provided by the IoT platform.
  • the IoT platform can obtain public and private keys through CA (Certificate Authority, electronic certification service) certification, etc., and broadcast the public key to each smart device connected to the IoT platform.
  • the public key of the platform encrypts the original data reporting message, obtains the encrypted data reporting message, and sends the encrypted data reporting message to the IoT platform to realize encrypted data transmission and ensure data security.
  • S306 Send the encrypted data reporting message to the IoT platform to trigger the IoT platform to decrypt the encrypted data reporting message based on the IoT platform's private key to obtain the target The data report message of the physical device, and then obtain the operating data of the target physical device, such as the alarm data of the target physical device, the environmental value (such as temperature value, humidity value) detected by the target physical device, and so on.
  • the operating data of the target physical device such as the alarm data of the target physical device, the environmental value (such as temperature value, humidity value) detected by the target physical device, and so on.
  • the IoT platform After the IoT platform obtains the data reporting message, it uses a format parsing algorithm to parse the data reporting message of the target object model.
  • the profile module data and the properties module data can be parsed out , events module data, services module data.
  • the profile module data represents the device type code, product model code, application type, etc. of the target physical device.
  • the properties module data represents the characteristic data of the physical equipment, which can be any data sent by the physical equipment, such as the opening and closing status of the rolling shutter door, the running status of the elevator, etc.
  • the events module data represents the events generated during the operation of the equipment, such as equipment alarm information, equipment failure information, etc.
  • the data of the services module represents the ability of the device to be called externally, and input parameters and output parameters can be set. Compared with the profile module data, based on the services module data, more complex business logic can be realized through a command, such as performing a specific task.
  • the code format of the data reporting message is as follows:
  • poiCode refers to the equipment type code, which is used to distinguish which type of equipment a certain equipment belongs to, and is the result of classifying and dividing equipment.
  • modelId is the object model Id, which is used to distinguish the unique identifier of the object model.
  • productId refers to the product Id generated when a new product is added to the IoT platform.
  • appType generally refers to different applications or professional systems.
  • the data flow process includes: after the physical device 401 is connected to the smart device 403 through an access module 402 such as a gateway, data is sent through the access module.
  • the access module 402 is used for data forwarding. On the one hand, it can receive the binary machine code sent by the physical device 401; on the other hand, it can send the control data received from the smart device 403 to the physical device 401 to the physical device 401, and Control such as opening and closing etc. is completed on the entity device 401 .
  • Protocol conversion is mainly to interpret the binary machine code transmitted by the physical device into character data that can be recognized by computer applications, and it can also convert the computer character data received from the physical model into binary machine code that can be recognized by the physical device.
  • object model the computer character data obtained by the protocol conversion can be processed to obtain the data report message of the target physical device, and the data received from the IoT platform 404 can also be processed to obtain the control capable of controlling the physical device instructions and other data.
  • the smart device 403 may also perform filtering, convergence, and data verification processes as shown in FIG.
  • filtering is mainly used to remove some useless data in the data reporting message.
  • Convergence mainly refers to the processing of some data included in the data reporting message with a large number of reporting times, so that such data is only reported once or twice.
  • the target data of the first count threshold is deleted, so that within the next target time range, the number of reported target counts is greater than 1 and smaller than the second count threshold, and the second count threshold is smaller than the first count threshold.
  • Data verification is mainly used to correct the authenticity and validity of the data. For example, the target data in the data reporting message can be analyzed and compared with the device type in the data reporting message.
  • the analysis result shows that the target data does not match the device type, for example If the device type indicates that the corresponding physical device (such as the target physical device) is a thermometer, but the target data is a humidity value, it is considered that the data verification of the target data fails, and the target data needs to be deleted.
  • the device type indicates that the corresponding physical device (such as the target physical device) is a thermometer, but the target data is a humidity value, it is considered that the data verification of the target data fails, and the target data needs to be deleted.
  • the IoT platform 404 can According to a series of rules, start from the data reporting message to realize the control of the physical device.
  • the rule engine in Figure 4 refers to some pre-configured control rules.
  • Linkage processing refers to generating control instructions for one or more physical devices based on control rules and data reporting messages corresponding to one or more physical devices. In the action execution phase, the data corresponding to these control commands are sent to the physical device that needs to be controlled to realize the linkage control of the physical device.
  • the exhaust fan is controlled at the same time to remove humid air, and the warm air is input through the heater.
  • FIG. 5 is a schematic diagram of the construction process of the object model in the embodiment of the present application.
  • the process of constructing the object model in the embodiment of the present application can also be implemented in the above-mentioned smart device, or can be constructed by an independent device, and loaded into the above-mentioned smart device after the construction is completed.
  • the object model is an indispensable link in the data level of the cloud service, that is, the Internet of Things platform can identify each data of the physical device in the entire data processing process of the physical device.
  • design principles for object model construction are defined as follows:
  • the English name shall not exceed 25 characters; there are no special symbols between words, and the attributes, events, and services in the object model can be named using the small camel naming method; such as: deviceStatus; multiple words When constituted, each word shall not exceed 5 digits;
  • Object model field types support nine numeric types: integer, long integer, Boolean, enumeration, single-precision floating-point, double-precision floating-point, string, array, and object.
  • the object model includes attribute modules, event modules, and service modules.
  • the field names of the properties of the attribute module need to follow the above-mentioned design principles, and the field types cannot exceed the specified nine types.
  • the event (events) field definition of the event module may include: event field (eventTs), event type field (eventType), event description (describe), alarm level (alarmLevel), etc.
  • the services field of the service module can include: control commands and callback function protocols can be defined at the same time, and different control commands can be defined separately; the callback format can contain a boolean success field, and true can be used to indicate that the control is successful, and false to indicate Control failed.
  • the method in the embodiment of the present application includes the following steps.
  • S501 In response to the access event of the target physical device, detect the data type of the output data of the target physical device; when a physical device is connected to the smart device through an access module such as a gateway, the smart device can actively judge the target physical device The data type of the data that can be output. If the data that the target entity device can output is computer character data that can be directly recognized by the computer application, it can be considered that the target entity device is actually an Internet of Things device, or something such as a smart phone, etc. For devices capable of running IoT applications, there is no need to perform special processing on the target physical device, and the forwarding processing of IoT-related data can be performed for the target physical device. Forwarding processing includes sending the data of the target physical device to the IoT platform , to send the data of the IoT platform to the target physical device. However, if the data type output by the target physical device is binary machine code, the following S502 may be executed.
  • the data type of the output data of the target physical device is a binary machine code type
  • obtain the entity description information of the target physical device is based on the description file of the target physical device, the user input Any one of the information or a combination of both.
  • the description file of the target entity device may be, for example, any one of a point table file, a class table file, or a combination of both of the target entity device.
  • the entity tag information configured by the IoT platform for the target physical device; wherein, the entity tag information includes: the device identifier generated by the IoT platform for the target physical device, and the IoT platform for the target physical device Any one or more of the generated product identification and the data point information generated by the IoT platform for the target physical device; the device identification is used to uniquely identify the target physical device on the IoT platform, and the product identification is used for The data identification and data organization format of each type of data generated by the target entity device are defined in the device model for identifying the target entity device and the data point information.
  • S504 Generate a target object model associated with the target entity device according to the acquired entity description information and the entity tag information configured by the IoT platform for the target entity device.
  • the object model is constructed according to DIM (Digital information model, digital information model), device identifier WID, product identifier PID (Product Identifier), and data point information datapoint.
  • DIM Digital information model, digital information model
  • device identifier WID Device identifier
  • product identifier PID Product Identifier
  • data point information datapoint are entity tag information configured by the IoT platform for the target entity device.
  • the DIM can be constructed based on the device information, manufacturer information, device operation data, device control instructions and other data obtained from the point table and/or class table of the target physical device.
  • the construction of the DIM in the embodiment of the present application is composed of the device information determined when the device leaves the factory, the manufacturer information, the real-time data reporting message for the operation of the device after startup, and the device instruction data for operation control. It reflects information such as where a specific device comes from, what capabilities it has, its operating health, and how to operate and control it, basically covering all the information needed to control physical devices.
  • the acquisition may be obtained through the pages shown in Fig. 7a, Fig. 7b, and Fig. 7c.
  • the user who configures the object model can obtain the entity description information of the target entity device through the pages shown in Fig. 7a, Fig. 7b, and Fig. 7c, so as to further obtain the object model according to the entity description information.
  • Enter the relevant information manually on the page shown and the smart device can also automatically read the record information in the point table file and class table file of the target physical device, and obtain the initial description information according to the record information in the table.
  • the information is filled in the pages shown in Fig. 7a, Fig. 7b, and Fig. 7c, which is convenient for configuration users to perform update operations such as adding, deleting, and modifying entity description information.
  • Entity description information includes entity attribute information, entity service information, and entity event information. As shown in Figure 7a, it describes the interface for setting entity attribute information.
  • the interface for setting entity attribute information includes name setting item 701 and ID setting item 702 and data type setting item 703, wherein the name setting item 701 is mainly used to enter the name of the target entity device, which can remind relevant users what the device is, for example, the name can be filled in as "electronic temperature and humidity meter", and the name setting The content of item 701 can be filled in manually.
  • the name setting item 701 can also be read through the point table file, class
  • the device information and manufacturer information in the table file can be automatically filled in. For example, if the device information read from the point table file is "Shunfeng brand temperature and humidity meter", you can directly enter "Shunfeng brand temperature and humidity meter" into the name setting item 701 middle.
  • the ID setting item 702 is used to set the ID of the target entity device, which can ensure that the target entity device is distinguished from other entity devices as much as possible.
  • the ID setting item 702 can be based on the point table file from the target entity device , the manufacturer information and device information read in the class table file to comprehensively generate the ID of the target entity device, such as the manufacturer name included in the manufacturer information, the serial number SN assigned by the manufacturer to the target entity device, and the device in the device information Names are combined to form the ID of the target physical device, or the manufacturer name included in the manufacturer information, the serial number SN allocated by the manufacturer for the target physical device, and the device name in the device information can be mapped according to the mapping algorithm (such as Ha Hellenic algorithm) is mapped, and a character string is obtained and entered into the ID setting item 702 as the ID of the target entity device.
  • the mapping algorithm such as Ha Hellenic algorithm
  • the data type setting item 703 is to select from the above-mentioned 9 numerical types as required or to fill in the data type setting item 703 according to the default numerical type.
  • the read-write type option 704 is used to configure whether the attribute data of the target entity device can be read and written or only read-only, for example, the temperature value and humidity value of the "Shunfeng brand temperature and humidity meter" mentioned above are for the IoT platform , whether it can be read and written, or it can only be read-only and cannot be modified.
  • name setting item 705 and ID setting item 706 are different from name setting item 701 and ID setting item 702 of entity attribute information setting.
  • the name set by the name setting item 705 can be set according to the device control instruction. Taking the above-mentioned "Shunfeng brand temperature and humidity meter" as the target entity device as an example, it can be generated according to the device control instruction. The function-related name of the device control instruction. If the device control instruction includes the opening instruction and closing instruction of the "Shunfeng brand temperature and humidity meter", you can set the "control temperature and humidity meter" in the name setting item 705 of the entity service setting interface.
  • the ID setting item 706 of the entity service information can use the corresponding character string obtained by calculating the name set in the name setting item 705 according to the mapping algorithm as the ID of the entity service information.
  • the input parameter setting item 707 can be used to receive the control parameters set for the target physical device, that is, set the character codes corresponding to the open command and the close command, and the set control parameters will be displayed to the user in the control parameter display area 708 below.
  • the output feedback parameter setting item 709 is to configure the feedback parameters that should be fed back after the target entity device receives the control of the control parameters, and each feedback parameter can be displayed to the user in the feedback parameter display area 710 below.
  • Both the control parameters and the feedback parameters can be read from the obtained device control instructions, and of course can also be manually filled in by the user according to the existing control rules of the target physical device.
  • the parameters corresponding to the control start signal sent by the remote control can be obtained and entered into the control parameter setting item 708, and the temperature and humidity meter can be input in the control parameter setting item 708.
  • a call mode setting item 711 is also included, including two options of synchronous call and asynchronous call.
  • the synchronous call means that when the user queries the object model data, the result data is returned immediately
  • the asynchronous call means that the network response is performed first, and generally after a period of time, the interface is called to return the data to be queried.
  • the entity event interface also includes a name setting item 712 and an ID setting item 713.
  • the name setting item 712 in the entity event interface can be used to enter the The name generated for the purpose of the event set for the target physical device this time, and the purpose of the event set for the target physical device this time can be extracted from the obtained device operation data, for example, the purpose of the generated event this time is the temperature and humidity meter high temperature alarm, you can set the name setting item 712 in the entity event interface to "high temperature alarm over 50 degrees", of course, you can also name it in combination with device information and manufacturer information, such as setting the name in the entity event interface Item 712 is set to "Shunfeng factory's Shunfeng brand temperature and humidity meter detects a high temperature alarm over 50 degrees", so that users can intuitively know the content and significance of this event alarm, etc., ID setting item 713 in the entity event interface Then, the mapping calculation can also be performed on the name set in the name setting item 712
  • the entity event interface also includes an output parameter setting item 714, which is used to set the alarm signal parameter, and the alarm signal parameter can be generated according to the alarm signal obtained from the equipment operation data and set to the output parameter setting item 714 , and the output parameter display area 715 is set below the output parameter setting item 714 .
  • the event type setting item 716 is also included in the entity event interface. Through the event type setting item 715, the type of this event can be set, including: notification type, alarm type, and cancel alarm type.
  • the notification type indicates that the data reporting message corresponding to the event configured on the current entity event interface is used for notification, for example, the corresponding data reporting message is used to display the content on some display screens, broadcast content, etc.; alarm The type refers to the data report message corresponding to the event configured on the current entity event interface, which is the content data of the fault in the target entity device; cancel alarm refers to the data report message corresponding to the event configured on the current entity event interface is used to cancel the previous alarm The message indicates that the device is normal, and the data report message is the data content reported after the fault is restored.
  • the setting of the names in the pages shown in Fig. 7a, Fig. 7b, and Fig. 7c is carried out according to the design principles mentioned in the foregoing embodiments, such as no more than 25 characters.
  • the S504 may specifically include: detecting the data type of the data included in the description file of the target entity device; if the first type of data is included, obtaining the entity attribute information according to the first type of data, and according to Entity attribute information generation attribute module, the first type of data includes: any one of analog input data AI, digital input DI or a combination of both; if the second type of data is included, then according to the second type of data Obtain the entity service information, and generate a service module according to the entity service information, the second type of data includes: any one of analog output AO, digital output DO, or a combination of both; if the third type of data is included, then according to The third type of data obtains entity event information, and generates an event module according to the entity event information, and the third type of data includes: fault-related data; the target object model is configured for the target entity device according to the IoT platform Entity tag information and generated by any one or more of the attribute module, the service module, and the event module.
  • FIG. 8a is a schematic flowchart of a method for constructing a model data structure according to an embodiment of the present application.
  • the method in the embodiment of the present application may be implemented by the smart device mentioned above.
  • the method includes the following steps.
  • the description file includes the class table file and point table file of the target entity device.
  • the manufacturer may define a class table file, a point table file, etc., and these files are static files.
  • the device information, manufacturer information, device operation data, and information corresponding to the device control command will be set in these files.
  • the point table file includes the name attribute, which will be : ⁇ "name":"xiaoming" ⁇ , where "xiaoming" is the running data of the device.
  • S802 Perform screening processing on the raw data to obtain description data of the target physical device, the screening processing includes: parsing, filtering and aggregating the raw data to obtain device information, manufacturer information, Equipment operation data, equipment control instructions, etc.
  • S803 Detect the data type of the description data of the target entity device. In S803, it is necessary to determine which data the target physical device contains from the point table data and class table data of the target physical device, that is, the physical device may contain different data according to different functions or types of the physical device.
  • follow-up data processing is performed according to the detection result of S803.
  • the steps S801 to S803 correspond to the data types of the data included in the description file of the detection target entity device.
  • S804 Determine whether the first type of data is included; if yes, execute the following S805; otherwise, execute the following S806. Specifically, it is judged whether the description data includes data such as analog input data AI, digital input DI, etc. If any one or more data are included, the judgment result of S804 is deemed to be yes.
  • S805 If the first type of data is included, further determine whether an attribute module has been constructed; if no attribute module has been constructed, execute S810 to generate a corresponding module, that is, obtain entity attribute information according to the first type of data, and generate a corresponding entity attribute information according to the entity attribute information properties module. If the attribute module has been constructed, the following S811 is executed.
  • S806 Determine whether the second type of data is included; if yes, execute the following S807; if not, execute the following S808. Specifically, it is judged whether the description data includes data such as analog output AO, digital output DO, etc. If any one or more of them are included, the judgment result of S806 is yes.
  • S807 If the second type of data is included, further determine whether a service module has been constructed; if no service module has been constructed, execute S810 to generate a corresponding module, that is, obtain entity service information according to the second type of data, and generate a corresponding module according to the entity service information service module. If the attribute module has been constructed, the following S811 is executed.
  • S808 Determine whether the third type of data is included; if the third type of data is included, execute the following S809, and if not, end. Specifically, it is judged whether the description data includes fault related data, such as alarm data, fault data, etc., and if so, it is determined that the judgment result of S808 is yes.
  • S809 If the third type of data is included, further determine whether an event module has been constructed; if the event module is not included, execute S810 to generate a corresponding module, that is, obtain entity event information according to the third type of data, and generate a corresponding entity event information according to the entity event information event module. If the event module has been constructed, the following S811 is executed.
  • S810 Generate a corresponding module.
  • an attribute module, a service module or an event module is generated according to the actual situation.
  • S811 Add a value to the key-value pair in the corresponding module.
  • the module generated in S810 includes the key-value pair, the key key preset in the key-value pair, and the specific data as the value value.
  • the attribute module after adding the key-value pair is as follows :
  • S812 Assembling modules to obtain an object model.
  • One or more of the obtained attribute modules, service modules, and event modules are model-assembled to obtain an object model.
  • the data construction process of the object model includes the process of generating each module according to the information, and also includes the process of reading, parsing, filtering and aggregation of the class table and point table, and finally makes a logical judgment on the output clean data , each module is assembled to form a model.
  • the process shown in Figure 8a is only an example.
  • the order of judging the first type of data, the second type of data and the third type of data can be adjusted according to actual needs. For example, for some Physical devices, such as TV sets and electric fans, can first determine whether there is second type data, so as to generate a service module to control the TV sets and electric fans, because such physical devices generally have second type data. Similarly, some physical devices with an alarm function can prioritize whether they have the third type of data, so as to quickly determine the physical event information and generate an event module.
  • the target object model processes the state data in the operating data based on the attribute module, and the target object model is based on the event
  • the module processes the fault-related data in the operation data; wherein, the state data can be, for example, the opening and closing state of the rolling shutter door, the operation state of the elevator, etc., and the attribute module can obtain these state data from the operation data, And convert it into a message that can be reported to the IoT platform, for example, the "open" data that the rolling door is in the open state can be reported to the IoT platform.
  • the target object model controls the target entity device based on the service module processing the control data received from the Internet of Things platform, and obtains feedback after the target entity device is controlled based on the service module.
  • the response data is processed.
  • the service module can initiate a closing control command to the rolling door, and report the "closed" response data fed back to the IoT platform after the rolling door is closed.
  • FIG. 8b is a schematic flow chart of a device management method based on the Internet of Things according to the embodiment of the present application.
  • the embodiment of the present application describes the data interaction and control logic in the Internet of Things relatively completely.
  • the method in the embodiment of the present application includes the following steps.
  • the first smart device generates an object model of the physical device. For various physical devices that need to access the Internet of Things platform, such as FAS devices, UPS devices, etc., after these physical devices generate device point table data, the first smart device is based on these device point table data for different physical devices.
  • an object model set is obtained in the first smart device, and the object model set includes one or more object models, and each object model is associated with an entity device in the working environment.
  • the first smart device connects each generated object model to the IoT platform as a digital abstract description of the physical device.
  • the access process includes registering with the IoT platform based on the object model.
  • the first smart device may also manage each physical device connected to the first smart device based on the object model.
  • the first smart device sends the data reporting message generated by each object model to the IoT platform after performing authentication and encryption processing with public and private keys.
  • the target entity device sends machine data, which may specifically be binary machine code data.
  • the second smart device performs protocol conversion, and converts the machine data into computer character data that can be recognized by the target object model, and the computer character data is the operation data of the target entity device.
  • the second smart device performs screening processing such as authentication, data verification, and filtering on the operating data of the target entity device. And send the screened and processed data reporting message to the IoT platform.
  • the second smart device processes the operating data through the target object model, and obtains a data reporting message of the target entity device.
  • the IoT platform processes the data report message of the second smart device based on the rule engine.
  • the received data reporting messages of each smart device may be stored in a structured storage manner.
  • the processing of the data reporting message of the second smart device includes: data analysis and processing, and output of data analysis results, so that managers can understand the operating conditions of target physical devices and the like.
  • the processing of the data reporting message of the second smart device also includes: convergence alarm processing. Convergence mainly refers to processing some data that has been reported frequently included in the data reporting message, so that such data is only reported once or twice. or a preset number of times.
  • the IoT device performs linkage execution processing.
  • the rule engine also pre-configures some control rules.
  • Linkage processing means that based on the control rules, the data reporting messages corresponding to one or more physical devices (such as the data reporting messages corresponding to S828 and the data reporting messages corresponding to S823) Each physical device generates control commands, and in the execution phase of the data flow action, the data corresponding to these control commands are sent to the physical devices that need to be controlled, so as to realize the linkage control of the physical devices.
  • the IoT platform issues a control command.
  • the control instruction may control the physical device associated with the data reporting message corresponding to S828 and the physical device associated with the data reporting message corresponding to S823. Specifically, control instructions are transmitted through the physical models corresponding to these devices.
  • FIG. 9 is a schematic flow chart of another device operation management method in the embodiment of the present application.
  • the method in the embodiment of the present application consists of a management device, which is set on the aforementioned IoT platform.
  • the management device is used for data interaction with the smart device, and the smart device is configured with a set of object models, the set of object models includes one or more object models, and each object model is connected with an entity device in the working environment Association; the smart device may specifically refer to the smart device mentioned in the above embodiment.
  • the method in the embodiment of the present application includes the following steps.
  • S901 Receive a data reporting message generated by the smart device, where the data reporting message is obtained by the smart device processing the operating data of the target entity device through the target object model.
  • the data reporting message is obtained by the smart device processing the operating data of the target entity device through the target object model.
  • S902 Perform operation management on the target entity device according to the data reporting message; where performing operation management includes: performing data display management processing on the target entity device according to the data reporting message, and reporting to the target entity device according to the data reporting message
  • the smart device sends any one or a combination of both of the control instructions, and the control instructions are used to trigger the smart device to control the operation of the target entity device through the target object model.
  • it can also include storage management such as data reporting messages to facilitate subsequent retrieval and viewing.
  • the management device may also perform the following steps:
  • the entity tag information includes: the device identifier generated by the IoT platform for the target entity device, the product identifier generated by the IoT platform for the target entity device, and the data point information generated by the IoT platform for the target entity device Any one or more of the above; the device identifier is used to uniquely identify the target entity device on the Internet of Things platform, the product identifier is used to identify the device model of the target entity device, and the data point information defines the Describe the data identification and data organization format of each type of data generated by the target entity device.
  • the IoT platform can collect and manage data from one or more physical devices that do not have the Internet of Things function through the object model configured on the smart device. Data collection of equipment online and shutdown status, equipment detection and detection index data, equipment alarm notification data, etc. On the other hand, based on these data, physical equipment can also be managed, which speeds up the digital transformation process in various physical work scenarios.
  • Fig. 10 is a schematic structural diagram of an equipment operation management device according to an embodiment of the present application; the device can be installed in a smart device, and the smart device is used to perform data interaction with the physical device in the working environment, and the smart device is configured with an object model A collection of physical models includes one or more physical models, and each physical model is associated with a physical device in the working environment.
  • the device may include:
  • the acquisition unit 1001 is used to call the target object model to acquire the operating data of the target entity device associated with the target object model; the target object model is configured for the target entity device according to the collected entity description information of the target entity device and the Internet of Things platform Entity tag information is generated.
  • the processing unit 1002 is configured to process the operating data through the target object model to obtain a data reporting message of the target entity device; the format of the data reporting message is determined when the target object model is constructed;
  • the processing unit 1002 is further configured to send a data reporting message to the IoT platform, so as to trigger the IoT platform to perform operation management on the target physical device.
  • the obtaining unit 1001 is specifically configured to:
  • the computer character data is input into the target object model as the operation data of the target physical equipment.
  • processing unit 1002 is specifically configured to:
  • processing unit 1002 is further configured to:
  • the entity description information of the target physical device is obtained, and the entity description information is based on any one of the description file of the target physical device, user input information, or a combination of both owned;
  • the description file of the target entity device includes: one of a point table file and a class table file of the target entity device, or a combination of both.
  • processing unit 1002 is specifically configured to:
  • the entity attribute information is obtained according to the first type of data, and an attribute module is generated according to the entity attribute information
  • the entity service information is obtained according to the second type of data, and a service module is generated according to the entity service information;
  • the entity event information is obtained according to the third type of data, and an event module is generated according to the entity event information;
  • the target object model is generated according to the entity tag information configured by the IoT platform for the target entity device, and any one or more of attribute modules, service modules, and event modules.
  • the object model in the process of processing the operation data through the object model, processes the state data in the operation data based on the attribute module, and the object model processes the operation data based on the event module. Process the fault correlation data in
  • the target object model is based on the service module to process the control data received from the IoT platform to control the target entity device, and based on the service module to process the response data obtained after the target entity device is controlled.
  • processing unit 1002 is specifically configured to:
  • the entity marking information includes: any one or more of the device identification generated by the IoT platform for the target physical device, the product identification generated by the IoT platform for the target physical device, and the data point information generated by the IoT platform for the target physical device ;
  • the device identifier is used to uniquely identify the target entity device on the IoT platform
  • the product identifier is used to identify the device model of the target entity device
  • the data point information defines the data identifier and data organization format of each type of data generated by the target entity device.
  • the problem-solving principle and beneficial effect of the equipment operation management device provided in the embodiment of the application are similar to the problem-solving principle and beneficial effect of the data processing device in the method embodiment of the application. Please refer to the principle of implementation of the method and beneficial effects, for brief description, no longer repeat them here.
  • Fig. 11 is a schematic structural diagram of another equipment operation management device according to an embodiment of the present application; the device can be set in a management device, and the management device is set on the Internet of Things platform, and the management device is used for data interaction with the smart device, and the smart device A physical model set is configured in the physical model set, which includes one or more physical models, and each physical model is associated with a physical device in the working environment; as shown in Figure 11, the device includes:
  • the receiving unit 1101 is configured to receive a data reporting message generated by the smart device, and the data reporting message is obtained after the smart device processes the operating data of the target entity device through the target object model;
  • a management unit 1102 configured to perform operation management on the target entity device according to the data reporting message
  • performing operation management includes: performing data display management processing on the target physical device according to the data reporting message, sending any one or a combination of the control instructions to the smart device according to the data reporting message, and the control command is used to trigger the smart device to pass through the target device.
  • the physical model controls the operation of the target physical equipment.
  • processing unit 1102 is also configured to:
  • Configuring entity tag information for the target entity device to trigger the smart device to configure the target object model for the target entity device according to the entity tag information
  • the entity marking information includes: any one or more of the device identification generated by the IoT platform for the target physical device, the product identification generated by the IoT platform for the target physical device, and the data point information generated by the IoT platform for the target physical device ;
  • the device identifier is used to uniquely identify the target entity device on the IoT platform
  • the product identifier is used to identify the device model of the target entity device
  • the data point information defines the data identifier and data organization format of each type of data generated by the target entity device.
  • the problem-solving principle and beneficial effect of the equipment operation management device provided in the embodiment of the application are similar to the problem-solving principle and beneficial effect of the data processing device in the method embodiment of the application. Please refer to the principle of implementation of the method and beneficial effects, for brief description, no longer repeat them here.
  • Fig. 12 is a schematic structural diagram of a smart device according to an embodiment of the present application; the smart device is used for data interaction with physical devices in the working environment, and the smart device is configured with a set of object models, which includes one or more object models. Each object model is associated with an entity device in the working environment; as shown in Figure 12, the smart device includes: one or more processors 1201; one or more input devices, one or more output devices and memory 1202 .
  • the above-mentioned processor 1201, input device, output device and memory 1202 may be connected through a bus.
  • the memory 1202 is used for storing a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium, and the computer program is invoked by the processor 1201 and performs the following steps:
  • the target object model to obtain the operating data of the target entity device associated with the target object model; the target object model is generated based on the collected entity description information of the target entity device and the entity tag information configured by the IoT platform for the target entity device;
  • the operating data is processed through the target object model to obtain the data reporting message of the target entity device; the format of the data reporting message is determined when the target object model is constructed;
  • the computer program is invoked by the processor 1201 and executes the process of invoking the target object model to obtain the operating data of the target entity device associated with the target object model, specifically performing the following steps:
  • the computer character data is input into the target object model as the operation data of the target physical equipment.
  • the computer program is invoked by the processor 1201 and executes the process of sending the data reporting message to the IoT platform, specifically performing the following steps:
  • the computer program is called by the processor 1201 and executed before calling the target object model to obtain the operation data of the target entity equipment associated with the target object model, and further perform the following steps:
  • the entity description information of the target physical device is obtained, and the entity description information is based on any one of the description file of the target physical device, user input information, or a combination of both owned;
  • the description file of the target entity device includes: one of a point table file and a class table file of the target entity device, or a combination of both.
  • the computer program is invoked by the processor 1201 and executed to generate a target object model associated with the target entity device according to the obtained entity description information and the entity tag information configured by the IoT platform for the target entity device
  • the specific steps are as follows:
  • the entity attribute information is obtained according to the first type of data, and an attribute module is generated according to the entity attribute information
  • the entity service information is obtained according to the second type of data, and a service module is generated according to the entity service information;
  • the entity event information is obtained according to the third type of data, and an event module is generated according to the entity event information;
  • the target object model is generated according to the entity tag information configured by the IoT platform for the target entity device, and any one or more of attribute modules, service modules, and event modules.
  • the object model in the process of processing the operation data through the object model, processes the state data in the operation data based on the attribute module, and the object model processes the operation data based on the event module. Process the fault correlation data in
  • the target object model is based on the service module to process the control data received from the IoT platform to control the target entity device, and based on the service module to process the response data obtained after the target entity device is controlled.
  • the computer program is invoked by the processor 1201 and executed to generate a target object model associated with the target entity device according to the obtained entity description information and the entity tag information configured by the IoT platform for the target entity device
  • the specific steps are as follows:
  • the entity marking information includes: any one or more of the device identification generated by the IoT platform for the target physical device, the product identification generated by the IoT platform for the target physical device, and the data point information generated by the IoT platform for the target physical device ;
  • the device identifier is used to uniquely identify the target entity device on the IoT platform
  • the product identifier is used to identify the device model of the target entity device
  • the data point information defines the data identifier and data organization format of each type of data generated by the target entity device.
  • the problem-solving principle and beneficial effect of the smart device provided in the embodiment of the application are similar to the problem-solving principle and beneficial effect of the data processing device in the method embodiment of the application. Please refer to the principle and beneficial effect of the implementation of the method , for the sake of brevity, it is not repeated here.
  • Fig. 13 is a schematic structural diagram of a management device according to an embodiment of the present application; the management device is set on the Internet of Things platform, and the management device is used for data interaction with the smart device.
  • the smart device is configured with a set of object models, and the set of object models includes a Or multiple object models, each object model is associated with an entity device in the working environment; as shown in Figure 13, the management device includes one or more processors 1301; one or more input devices, one or more output devices Devices and Storage 1302 .
  • the above-mentioned processor 1301, input device, output device and memory 1302 may be connected through a bus.
  • the memory 1302 is used for storing a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium, and the computer program is invoked by the processor 1301 and performs the following steps:
  • the data reporting message is obtained by the smart device after processing the operating data of the target entity device through the target object model;
  • performing operation management includes: performing data display management processing on the target entity device according to the data reporting message, sending any one or a combination of the control instructions to the smart device according to the data reporting message, and the control command is used to trigger the smart device to pass through the target
  • the physical model controls the operation of the target physical equipment.
  • the computer program is invoked by the processor 1301 and also performs the following steps:
  • Configuring entity tag information for the target entity device to trigger the smart device to configure the target object model for the target entity device according to the entity tag information
  • the entity marking information includes: any one or more of the device identification generated by the IoT platform for the target physical device, the product identification generated by the IoT platform for the target physical device, and the data point information generated by the IoT platform for the target physical device ;
  • the device identifier is used to uniquely identify the target entity device on the IoT platform
  • the product identifier is used to identify the device model of the target entity device
  • the data point information defines the data identifier and data organization format of each type of data generated by the target entity device.
  • the problem-solving principle and beneficial effect of the management equipment provided in the embodiment of the application are similar to the problem-solving principle and beneficial effect of the data processing device in the method embodiment of the application. Please refer to the principle and beneficial effect of the implementation of the method , for the sake of brevity, it is not repeated here.
  • the embodiment of the present application also provides a computer program product or computer program, where the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium.
  • the processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the foregoing embodiments.
  • the modules in the device of the embodiment of the present application can be combined, divided and deleted according to actual needs.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM) or a random access memory (Random Access Memory, RAM), etc.

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Abstract

本发明实施例公开了一种设备的运行管理方法、装置及设备、存储介质，所述方法可以应用于智能设备，所述智能设备的物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述方法包括：调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的；将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。本申请使得一些实体的物联设备映射成空间数据成为可能。

Description

一种物模型设备管理方法、装置、设备、系统及存储介质 技术领域
本发明涉及计算机技术领域，尤其涉及一种设备的运行管理方法、装置及设备、存储介质。
背景技术
随着科学技术的进步，各行各业的科技工作者们为人们设计并建造了各种各样的设备，比如电梯、空调、汽车等设备，数不胜数，通过这些设备，人们可以更好地开展工作，更好地享受生活、学习。这些设备要么可以单独地为人们提供服务，比如电视机单独使用可以让人们了解世界，要么通过这些设备构建的系统来为人们提供更加全面完整的服务，例如城市轨道交通系统、大厦安保系统等等。
诸如IoT等网络又能够将各种各样的电子设备连接起来，在计算机网络、移动通信网络等基础上实现万物互联，将各种设备与网络结合起来而形成的一个巨大网络，实现随时随地的人、机互联互通。
目前，要实现人、机的互联互通，一般要求交互的机器设备需要是智能设备，例如服务器与手机、电视、笔记本等智能设备可以轻易建立起连接实现互联，实现对设备的管理，但是对于一些传统的设备，例如电梯、电风扇、温湿度计等设备而言，虽然这些传统的设备也能够通过遥控器之类的实现自动化控制，也能够传递一些基本的信息、数据，但由于不够智能而无法便捷地加入到物联网等网络中，从而使得对这些设备的管理不够便捷。
发明内容
本申请实施例提供一种设备的运行管理方法、装置及设备、存储介质，可通过配置的物模型来实现对一些设备的智能管理。
一方面，本申请实施例提供了一种设备的运行管理方法，应用于智能设备，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述方法包括：
调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息生成的；
通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的；
将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。
另一方面，本申请实施例还提供了另一种设备的运行管理方法，应用于管理设备，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述方法包括：
接收所述智能设备生成的数据上报消息，所述数据上报消息是所述智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
根据所述数据上报消息对所述目标实体设备进行运行管理；
其中，进行运行管理包括：根据所述数据上报消息对目标实体设备进行数据显示管理处理、根据所述数据上报消息向所述智能设备发送控制指令中的任意一个或者两者的组合，所述控制指令用于触发所述智能设备通过目标物模型对目标实体设备进行运行控制。
相应地，本发明实施例还提供了一种设备的运行管理装置，所述装置设于智能设备中，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述装置包括：
获取单元，用于调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、所述物联平台为所述目标实体设备配置的实体标记信息生成的；
处理单元，用于通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的；
所述处理单元，还用于将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。
相应地，本发明实施例还提供了另一种设备的运行管理装置，所述装置设于管理设备中，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述装置包括：
接收单元，用于接收所述智能设备生成的数据上报消息，所述数据上报消息是所述智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
管理单元，用于根据所述数据上报消息对所述目标实体设备进行运行管理；
其中，进行运行管理包括：根据所述数据上报消息对目标实体设备进行数据显示管理处理、根据所述数据上报消息向所述智能设备发送控制指令中的任意一个或者两者的组合，所述控制指令用于触发所述智能设备通过目标物模型对目标实体设备进行运行控制。
相应地，本发明实施例还提供了一种智能设备，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述智能设备包括：
处理器，适于执行计算机程序；
计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序，所述计算机程序被所述处理器执行时，实现上述的设备的运行管理方法。
相应地，本发明实施例还提供了一种管理设备，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述管理设备包括：
处理器，适于执行计算机程序；
计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序，所述计算机程序被所述处理器执行时，实现上述的设备的运行管理方法。
相应地，本发明实施例还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序适于由处理器加载并执行上述的设备的运行管理方法。
本申请实施例还提供了一种计算机程序产品或计算机程序，该计算机程序产品或计算机 程序包括计算机指令，该计算机指令存储在计算机可读存储介质中。计算机设备的处理器从计算机可读存储介质读取该计算机指令，处理器执行该计算机指令，使得该计算机设备执行上述的方法。
在本申请实施例中，基于实体设备、为实体设备配置物模型的智能设备、以及物联平台构成的系统，经过定义的交互方式，可以较为有效地将现实世界中的诸如电梯、卷帘门等特定的实体设备接入到物联网中，本方案使得一些实体的物联设备映射成空间数据成为可能，基于物模型可以在一定程度上实现在线、关闭状态数据，设备探测和检测指标数据，设备告警通知数据等数据的上报、以及对实体设备的管理，加快了各种实体工作场景中数字化转型进程。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例的一种关于设备的运行管理的系统结构示意图；
图2是本申请实施例的一种设备的运行管理方法的流程示意图；
图3是本申请实施例的另外一种设备的运行管理方法的流程示意图；
图4是本申请实施例的基于物模型的数据流转流程的架构示意图；
图5是本申请实施例的物模型的构建流程示意图；
图6a是本申请实施例的关于物模型的构建示意图；
图6b是本申请实施例中关于图6a中的DIM的构建示意图；
图7a是本申请实施例涉及的一种用户界面示意图；
图7b是本申请实施例涉及的另一种用户界面示意图；
图7c是本申请实施例涉及的又一种用户界面示意图；
图8a是本申请实施例的一种模型数据结构构建方法的流程示意图；
图8b是本申请实施例的一种基于物联网的设备管理方法的流程示意图；
图9是本申请实施例的又一种设备的运行管理方法的流程示意图；
图10是本申请实施例的一种设备的运行管理装置的结构示意图；
图11是本申请实施例的另一种设备的运行管理装置的结构示意图；
图12是本申请实施例的一种智能设备的结构示意图；
图13是本申请实施例的一种管理设备的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本申请实施例涉及到由实体设备、中间设备和物联平台构成的系统，实体设备是指一些具体的与用户接触的设备，例如在城市轨道交通场景中，这些实体设备可以是地铁站的电梯、闸机、售票机，甚至还可以是一些电风扇、电子温度计等设备，在本申请实施例中，实体设 备主要是指一些能够与其他设备交互诸如二进制数据的机器码的设备，例如作为实体设备的温湿度计可以通过二进制机器码上报温湿度计的温度和湿度的读数，作为实体设备的电风扇能够通过二进制机器码报告其处于开机状态还是关机状态。中间设备为一个或者多个智能设备，实体设备通过网关、路由等设备与智能设备相连，在智能设备上为每一个实体设备配置了关联的物模型，智能设备通过物模型来搜集边缘端的数据，并通过物模型向物联平台上报实体设备的相关数据，同时通过物模型来对实体设备进行控制。
在本申请实施例中，所描述的物模型是对实体设备的数字化抽象描述，描述相关型号的实体设备是什么，能做什么，能对外提供哪些服务。物模型是将物理空间中的实体设备数字化，通过构建实体设备的数据模型，将物理空间的实体设备进行格式化表示。本申请实施例涉及到的关于设备的运行管理的系统具体可以参考图1所示，在图1中，以轨道交通环境为例进行了示意，在该系统中，包括了各种具体的能够服务用户的实体设备、配置了各个实体设备的物模型的智能设备102，以及物联平台103，物联平台103可以由一个或者多个服务器构成。实体设备包括图1中的监控用的摄像机1011、电梯1012、温湿度计1013、闸机1014。
在本申请实施例中，物联平台103可以基于云技术实现，云技术(Cloud technology)是指在广域网或局域网内将硬件、软件、网络等系列资源统一起来，实现数据的计算、储存、处理和共享的一种托管技术。云技术(Cloud technology)基于云计算商业模式应用的网络技术、信息技术、整合技术、管理平台技术、应用技术等的总称，可以组成资源池，按需所用，灵活便利。云计算技术将变成重要支撑。技术网络系统的后台服务需要大量的计算、存储资源，如视频网站、图片类网站和更多的门户网站。伴随着互联网行业的高度发展和应用，将来每个物品都有可能存在自己的识别标志，都需要传输到后台系统进行逻辑处理，不同程度级别的数据将会分开处理，各类行业数据皆需要强大的系统后盾支撑，可以通过云计算来实现。
IOT(Internet of things，物联网)是指通过各种信息传感器、射频识别技术、全球定位系统、红外感应器、激光扫描器等各种装置与技术，实时采集任何需要监控、连接、互动的物体或过程，采集其声、光、热、电、力学、化学、生物、位置等各种需要的信息，通过各类可能的网络接入，实现物与物、物与人的泛在连接，实现对物品和过程的智能化感知、识别和管理。物联网是一个基于互联网、传统电信网等的信息承载体，它让所有能够被独立寻址的普通物理对象形成互联互通的网络。
云物联(Cloud IOT)旨在将传统物联网中传感设备感知的信息和接受的指令连入互联网中，真正实现网络化，并通过云计算技术实现海量数据存储和运算，由于物联网的特性是物与物相连接，实时感知各个“物体”当前的运行状态，在这个过程中会产生大量的数据信息，如何将这些信息汇总，如何在海量信息中筛取有用信息为后续发展做决策支持，这些已成为影响物联网发展的关键问题，而基于云计算和云存储技术的物联云也因此成为物联网技术和应用的有力支持。
本申请实施例所涉及的智能设备或者管理设备，具体可以是服务器，服务器可以是独立的物理服务器，也可以是多个物理服务器构成的服务器集群或者分布式系统。实体设备可以是各种可以直接服务于用户的设备，例如上述提及的电梯、闸机、电子温湿度计等等，但并不局限于此。实体设备与智能设备之间可以通过有线或无线通信方式进行直接或间接地连接，本申请在此不做限制。在一个实施例中，无论是智能设备还是管理设备，均可以作为物联平台103的一部分。
请参见图2，是本申请实施例的一种设备的运行管理方法的流程示意图，本申请实施例 的所述方法可以由智能设备实现，所述智能设备用于与工作环境中的实体设备进行数据交互，该智能设备例如可以是一台服务器。该智能设备可以配置在实际的工作环境中，工作环境例如可以是车站、码头、公园等环境，在这些工作环境下的各个实体设备通过路由器、网关等与该智能设备相连，进行所需数据的交互。该智能设备也可以作为物联网中物联平台的一部分，用于通过计算机网络、移动通信网络与各种实体设备相连，实现与各种实体设备之间的数据交互。所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联，而实体设备主要是指一些能够与其他设备交互诸如二进制机器码的设备。本申请实施例的所述方法具体可以包括如下步骤。
S201：调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息生成的，目标物模型的具体构建过程可参考后续实施例的描述。所述目标物模型为所述目标实体设备的数字化抽象描述，目标物模型是根据两个方面的信息来构建的，涵盖了不同维度的工业控制需要的设备数据，具体的，一方面是关于目标实体设备的信息，这些信息具体可以目标实体设备出厂后已经确定的设备信息、厂商信息、设备启动后运行的可以上报的数据、以及可用于对该目标实体设备进行操作控制的设备指令数据等。另一方面则是关于物联平台为目标实体设备分配的信息，这些信息具体可以是物联平台生成的设备ID、产品的PID(Product Identification，产品识别)和产品的数据点datapoint等信息。
目标实体设备的运行数据主要是指该目标实体设备在运行过程中所涉及到的数据，本申请所说的实体设备的运行过程是指实体设备接入到物联平台后没有离线，即可以理解为该实体设备处于运行过程中，而当实体设备断开网络连接不再接入到物联网后，可以认为该实体设备处于离线状态而非处于运行过程中。运行数据可以包括该目标实体设备在运行过程中的工作电流、电压、温度等数据，以及处于开启状态还是关闭状态等等状态数据，对于电梯等实体设备还包括电梯的额定速度、当前工作速度等等数据。目标实体设备可以将这些运行数据传输给智能设备。对于目标实体设备而言，其按照出厂设置的规则传输运行数据、接收数据、接收控制等，并不需要进行特殊设置，目标实体设备与物联平台之间的交互是通过目标实体设备对应的目标物模型进行的。
S202：通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的。在本步骤中对所述运行数据进行处理主要包括将所需上报的数据处理为指定消息格式的数据，所述数据上报消息即为格式处理后的数据。而所需上报的数据是在构建目标物模型时确定的，比如目标实体设备为电子温湿度计，构建目标物模型时定义了电子温湿度计需要上报其监测到的温度、湿度等数据，还可以上报该电子温湿度计能否在出现故障时发出告警的告警数据等等。本申请实施例构建的物模型统一了实体设备上报的消息格式，在构建的物模型中可以使用固定的JSON格式(一种与开发语言无关的、轻量级的数据存储格式)来承载不同类型的实体设备的数据，使物联平台的云端服务可以快速识别实体设备的运行状态，进而对实体设备进行必要的管控和治理，指导实际生产作业。
S203：将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。本申请实施例的所述物联平台可以由一个或者多个服务器构成，所述物联平台对所述目标实体设备进行运行管理包括：可以将数据上报消息或者从数据上报消息中提取的数据存储到指定的数据库中，以便于后续根据需要对这些存储的数据进行检索、查看，实现数据存储管理；可以将数据上报消息或者从数据上报消息中提取的数据显示在用户界面上， 方便用户查看每一个实体设备的相关信息，比如上述提及的温湿度计的温度数值、湿度数值等，实现数据实时的显示管理；可以根据数据上报消息中告警数据，向管理员用户发出告警通知，管理员用户也可以通过物联平台向智能设备发送关闭指令，智能设备根据该关闭指令通过目标物模型进一步向目标实体设备发送关闭的命令，实现设备的告警管理和远程控制管理。
在本申请实施例中，基于实体设备、为实体设备配置了物模型的智能设备、以及物联平台可以较为有效地将现实世界中的诸如电梯、卷帘门等特定的实体设备接入到物联网中，本方案使得一些实体的物联设备映射成空间数据成为可能，基于物模型可以在一定程度上实现在线、关闭状态数据，设备探测和检测指标数据，设备告警通知数据等数据的上报、管理，加快了各种实体工作场景中数字化转型进程。
再请参见图3，是本申请实施例的另外一种设备的运行管理方法的流程示意图，本申请实施例的所述方法可以由上述提及的智能设备实现。本申请实施例的所述方法具体可以包括如下步骤。
S301：接收工作环境中的目标实体设备生成的机器数据。这里的机器数据是指一些实体设备发送的二进制机器码，目标实体设备可以通过接入模块(例如网关设备)将数据传递给智能设备。目标实体设备可以是指一些能够收发数据，能够接收控制的设备，例如可以上报温湿度值、又能够通过遥控器关闭的温湿度计，可以上传运行速度、是否出现故障，又能够被远程控制关闭的电梯等等。
S302：对接收到的所述机器数据进行协议转换，将所述机器数据转换为能够被目标物模型识别的计算机字符数据。在S302中执行的协议转换主要是将二进制机器码转换为计算机程序可以识别的字符。在其他一些实施例中，可能存在实体设备为一个智能终端的情况，该智能终端可以接入到物联平台，按照物联平台的要求直接生成数据上报消息，这些智能终端可以通过所述智能设备中转、或者也可以不通过所述智能设备中转，将需要上报的数据发送给物联平台。
S303：将所述计算机字符数据作为所述目标实体设备的运行数据输入到所述目标物模型中。所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息生成的。对于转换得到的计算机字符数据，可以基于预设的规则进行筛选，从中筛选出需要上报的计算机字符数据输入到所述目标物模型中，例如，对于电子温湿度计，只需筛选统计温度数值、湿度数值、设备名称等计算机字符数据，筛选掉不需要的电子温湿度计的电压、电流等数据。
上述的S301、S302以及S303与前述实施例中的S201对应。
S304：通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的。在一个实施例中，得到的所述数据上报消息是一个JSON格式的数据。
S305：利用所述物联平台提供的公钥对所述数据上报消息进行加密。物联平台可以通过CA(Certificate Authority，电子认证服务)认证等方式获取到公私钥，将公钥广播给与物联平台相连的各个智能设备，各个智能设备在发送数据上报消息之前，通过物联平台的公钥对原始的数据上报消息进行加密，得到加密后的数据上报消息，并将加密后的数据上报消息发送给物联平台，实现数据的加密发送，保证数据的安全性。
S306：将加密后的所述数据上报消息发送给所述物联平台，以触发所述物联平台基于该物联平台的私钥对所述加密后的数据上报消息进行解密，得到所述目标实体设备的数据上报 消息，进而得到所述目标实体设备的运行数据，比如得到所述目标实体设备的告警数据、所述目标实体设备检测到的环境值(例如温度值、湿度值)等等。
所述物联平台得到所述数据上报消息后，利用格式解析算法解析目标物模型的数据上报消息，在一个实施例中，对于JSON格式的数据上报消息，可以解析出profile模块数据、properties模块数据、events模块数据、services模块数据。其中，profile模块数据表征了目标实体设备的设备类型编码、产品模型编码、应用类型等。properties模块数据表征了实体设备的特性数据，可以是实体设备发出的任何数据，如卷帘门的开关状态、电梯的运行状态等。events模块数据表征了设备运行过程中产生的事件，如设备告警信息、设备故障信息等。services模块数据表征了设备可被外部调用的能力，可设置输入参数和输出参数。相比于profile模块数据，基于services模块数据可通过一条指令实现更复杂的业务逻辑，如执行某项特定的任务。在一个实施例中，数据上报消息的代码形式如下所示：
Figure PCTCN2022087175-appb-000001
其中，poiCode指设备类型编码，用于区分某个设备隶属于哪一类型设备，是对设备进行归类划分之后的结果。modelId是物模型Id，用于区分物模型的唯一标识。productId是指在物联平台新增产品时生成的产品Id。appType一般指不同的应用或专业系统。
再请参见图4，是本申请实施例的基于物模型的数据流转流程的架构示意图。在本申请实施例中，数据流转流程包括：实体设备401通过网关等接入模块402接入到智能设备403后，通过接入模块发送数据。接入模块402则用于进行数据转发，一方面可以接收实体设备401发送的二进制机器码，另一方面可以将从智能设备403接收到的对实体设备401的控制数据发送给实体设备401，进而对实体设备401完成诸如开启、关闭等控制。
在图4中，协议转换，物模型，过滤、收敛、数据校验三个部分均是在智能设备403中实现。协议转换主要是将实体设备传输的二进制机器码解读为计算机应用程序能够识别的字符数据，还可以将从物模型接收到的计算机字符数据转换为实体设备能够识别的二进制机器码。通过物模型可以将协议转换得到的计算机字符数据进行处理，得到所述目标实体设备的数据上报消息，也可以将从物联平台404接收到的数据进行处理，得到能够对实体设备进行控制的控制指令等数据。在将数据上报消息或者说加密后的数据上报消息发送给物联平台404之前，智能设备403还可以执行如图4中的过滤、收敛、数据校验过程。其中，过滤主要用来去除数据上报消息中的一些无用数据。收敛主要是指对数据上报消息中包括的一些上报次数较多的数据进行处理，使这类数据仅上报一次或者两次，例如，对数据上报消息中包括的 在目标时间范围内上报次数大于第一次数阈值的目标数据进行删除处理，使得在下一目标时间范围内，该目标次数上报的次数大于1且小于第二次数阈值，第二次数阈值小于第一次数阈值。数据校验主要用来校正数据的真实性、有效性等，例如可以将数据上报消息中的目标数据与数据上报消息中设备类型进行分析比较，如果分析结果为目标数据与设备类型不匹配，例如设备类型表明对应的实体设备(比如目标实体设备)为温度计，而目标数据却为湿度数值，则认为对目标数据的数据校验不通过，需要删除该目标数据。
在经过过滤、收敛以及数据校验后的数据上报消息(或者经过过滤、收敛以及数据校验后的数据上报消息进行加密后的数据上报消息)传输给物联平台404后，物联平台404可以根据一系列规则从数据上报消息出发，实现对实体设备的控制。在图4中的规则引擎是指预先配置的一些控制规则，联动处理是指基于控制规则、和一个或者多个实体设备对应的数据上报消息为一个或者多个实体设备生成控制指令，在数据流转动作执行阶段中，将这些控制指令对应的数据发送给需要被控制的实体设备，实现对实体设备的联动控制。例如，基于电子温湿度计的数据上报消息确定某个办公环境温度低湿度高时，同时控制排风扇排除湿空气，通过暖风机输入暖风。
再请参见图5，是本申请实施例的物模型的构建流程示意图。本申请实施例的所述物模型的构成过程也可以在上述提及的智能设备中实现，也可以通过一个独立的设备来构建，在构建完成后加载到上述提及的智能设备中。在本申请实施例中，物模型在整个对实体设备的数据处理流程中，在数据层面上是云上服务即物联平台可以识别实体设备的各个数据必不可少的环节。
在一个实施例中，对物模型构建的设计原则定义如下：
对于所涉及的名称，英文命名不超过25位；单词之间不带特殊符号，可以采用小驼峰命名法对物模型中的属性、事件、服务多个进行名称命名；如：deviceStatus；多个单词构成时，每个单词不多于5位；
物模型字段类型支持整型、长整型、布尔型、枚举型、单精度浮点型、双精度浮点型、字符串型、数组型及对象型九种数值类型。
物模型包括属性模块、事件模块、服务模块，其中属性模块的属性(properties)字段名称需要遵循上述的设计原则定义，且字段类型不能超出规定的九种类型。事件模块的事件(events)字段定义时可以包含：事件字段(eventTs)、事件类型字段(eventType)、事件描述(describe)、告警等级(alarmLevel)等。服务模块的服务(services)字段则可以包括：可以同时定义控制指令以及回调函数协议，不同的控制指令可以分开定义；回调格式中可以包含布尔型success字段，且可以使用true表示控制成功，false表示控制失败。
在上述所定义的原则的基础上，本申请实施例的所述方法包括如下步骤。
S501：响应于目标实体设备接入事件，检测所述目标实体设备的输出数据的数据类型；当有实体设备通过网关等接入模块接入到智能设备时，智能设备可以主动判断该目标实体设备能够输出的数据的数据类型，如果该目标实体设备能够输出的数据是计算机应用程序能够直接识别的计算机字符数据，则可以认为该目标实体设备实际为一个物联网设备、或者是一些诸如智能手机等能够运行物联应用程序的设备，不用对该目标实体设备进行特殊处理，可以为该目标实体设备进行物联网相关数据的转发处理即可，转发处理包括将目标实体设备的数据发送给物联平台，将物联平台的数据发送给该目标实体设备。而如果该目标实体设备输出的数据类型为二进制机器码时，则可以执行下述的S502。
S502：若所述目标实体设备的输出数据的数据类型为二进制机器码类型，则获取所述目 标实体设备的实体描述信息，所述实体描述信息是根据所述目标实体设备的描述文件、用户录入信息中的任意一个或者两者的组合得到的。所述目标实体设备的描述文件例如可以是该目标实体设备的点表文件、类表文件中的任意一个或者两者的组合。
S503：获取物联平台为所述目标实体设备配置的实体标记信息；其中，所述实体标记信息包括：物联平台为所述目标实体设备生成的设备标识、物联平台为所述目标实体设备生成的产品标识、物联平台为所述目标实体设备生成的数据点信息中的任意一个或者多个；所述设备标识用于在物联平台唯一识别所述目标实体设备、所述产品标识用于识别所述目标实体设备的设备型号、所述数据点信息中定义了所述目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
S504：根据获取到的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息，生成与所述目标实体设备关联的目标物模型。
在一个实施例中，可参考图6a所示，目标物模型的构建是根据DIM(Digital information model，数字信息模型)、设备标识WID、产品标识PID(Product Identifier)、数据点信息datapoint构建得到，其中的设备标识WID、产品标识PID、数据点信息datapoint是物联平台为所述目标实体设备配置的实体标记信息。
而DIM则如图6b所示，可以根据从目标实体设备的点表和/或类表中获取到的设备信息、厂商信息、设备运行数据、设备控制指令等等数据构建得到。本申请实施例中DIM的构建由设备出厂时候已经确定的设备信息，厂商信息、设备启动后运行的实时数据上报消息以及用来操作控制的设备指令数据构成。体现了某一特定设备从何处来，具备哪些能力特征、运行健康状况如何及如何操作控制等信息，基本涵盖了对实体设备控制所需要的所有信息。
在一个实施例中，所述S502中获取所述目标实体设备的实体描述信息的过程中，可以通过如图7a、图7b、图7c所示的页面来获取。配置物模型的用户可以通过图7a、图7b、图7c所示的页面得到目标实体设备的实体描述信息，以便于进一步根据实体描述信息得到物模型，用户可以在图7a、图7b、图7c所示的页面手动录入相关信息，智能设备也可以通过自动读取目标实体设备的点表文件、类表文件中的记录信息，并根据表中的记录信息得到初始描述信息，将得到的初始描述信息填充到图7a、图7b、图7c所示的页面上，方便配置用户对实体描述信息进行增加、删除、修改等更新操作。
实体描述信息包括实体属性信息、实体服务信息、实体事件信息，如图7a所示，描述了设置实体属性信息的界面，在该设置实体属性信息的界面中包括了名称设置项701、ID设置项702以及数据类型设置项703，其中，名称设置项701中主要用于录入目标实体设备的名称，该名称可以提醒相关用户该设备是什么，例如名称可以填写为“电子温湿度计”，名称设置项701的内容可以手动填写，例如在工作环境中仅仅包括较少个实体设备时，可以由物模型配置用户手动填写；名称设置项701也可以通过读取的目标实体设备的点表文件、类表文件中的设备信息、厂商信息来自动填写，比如从点表文件中读取的设备信息为“顺风牌温湿度计”，则可以直接将“顺风牌温湿度计”录入到名称设置项701中。ID设置项702用来设置目标实体设备的ID，该ID可以尽量确保将目标实体设备与其他实体设备区别开来，在一个实施例中，ID设置项702可以根据从目标实体设备的点表文件、类表文件中读取的厂商信息、设备信息来综合生成目标实体设备的ID，比如将厂商信息中包括的厂商名称、该厂商为目标实体设备分配的序列号SN、以及设备信息中的设备名称组合到一起，构成目标实体设备的ID，或者也可以将厂商信息中包括的厂商名称、该厂商为目标实体设备分配的序列号SN、以及设备信息中的设备名称进行按照映射算法(比如哈希算法)进行映射，得到一个字符串作为该 目标实体设备的ID录入到ID设置项702中。数据类型设置项703为从上述提及的9种数值类型中根据需要进行选择或者按照默认数值类型填入数据类型设置项703中。读写类型选项704则用来配置该目标实体设备的属性数据是否可以读写或者只能只读，例如上述提及的“顺风牌温湿度计”的温度数值、湿度数值对于物联平台而言，是否可以读写，或者只能是只读，不能修改。
如图7b所示，描述了设置实体服务信息的界面，在该实体服务设置界面中，名称设置项705和ID设置项706与实体属性信息设置的名称设置项701和ID设置项702存在区别。在实体服务设置界面中，名称设置项705设置的名称可以根据设备控制指令来设置，以上述提及的“顺风牌温湿度计”作为目标实体设备为例，则可以根据设备控制指令生成与该设备控制指令的功能相关的名称，如果设备控制指令中包括对该“顺风牌温湿度计”的打开指令和关闭指令，则可以在实体服务设置界面的名称设置项705中设置“控制温湿度计开关”的名称，当然也可以结合设备信息、厂商信息进行综合设置，比如在实体服务设置界面的名称设置项705中设置“控制顺风厂的顺风牌温湿度计开关”。实体服务信息的ID设置项706则可以通过对名称设置项705设置的名称根据映射算法进行计算得到的对应的字符串作为该实体服务信息的ID。输入参数设置项707则可以用来接收对目标实体设备设置的控制参数，即设置打开指令和关闭指令对应的字符代码，设置的控制参数会在下方的控制参数显示区708中显示给用户。同样输出反馈参数设置项709为配置目标实体设备再接收到控制参数的控制后应当反馈的反馈参数，可以在下方的反馈参数显示区710中显示各个反馈参数给用户。所述控制参数和反馈参数都可以通过获取到的设备控制指令中读取，当然也可以由用户根据目标实体设备已有的控制规则进行手动填写。关于上述控制参数和反馈参数的设置，以可以通过遥控器控制的温湿度计为例，可以获取遥控器发出的控制开启的信号对应的参数录入到控制参数设置项708，而将温湿度计在接收到控制开启的信号后反馈的已开启信号所对应的参数录入到反馈参数设置项709中。在实体服务设置界面中，还包括调用方式设置项711，包括同步调用和异步调用两个选项。其中，同步调用指的是用户查询物模型数据的时候是立刻返回结果数据，异步调用指的是先进行网络响应，一般会隔一段时间，再调用接口返回要查询的数据。
如图7c所示，描述了设置实体事件信息的界面，在该实体事件界面中同样包括名称设置项712，以及ID设置项713，实体事件界面中中的名称设置项712可以用于录入根据本次为目标实体设备设置的事件的用途生成的名称，而本次为目标实体设备设置的事件的用途则可以从获取到的设备运行数据中提取，例如本次生成的事件的用途为温湿度计的高温报警，则可以将实体事件界面中的名称设置项712设置为“超过50度的高温报警”，当然也可以结合设备信息和厂商信息等综合进行命名，比如将实体事件界面中的名称设置项712设置为“顺风厂的顺风牌温湿度计检测的温度超过50度的高温报警”，如此，用户可以直观地知道本次事件告警的内容和意义等，实体事件界面中的ID设置项713则同样可以对名称设置项712中设置的名称进行映射计算，将映射计算得到的字符串作为该事件的ID录入到实体事件界面中的ID设置项713中。在实体事件界面中还包括输出参数设置项714，该输出参数设置项714用来设置报警信号参数，可以根据从设备运行数据中获取的报警信号生成报警信号参数设置到所述输出参数设置项714中，并是输出参数设置项714的下方设置由输出参数显示区715。在实体事件界面中还包括事件类型设置项716，通过事件类型设置项715可以设置本次事件的类型，包括：通知类型、告警类型、取消告警类型。其中，通知类型表示的是当前实体事件界面上配置的事件对应的数据上报消息是用于通知的，比如对应的数据上报消息是用来显示在某些显示屏上的内容，广播内容等；告警类型是指当前实体事件界面上配置的事件对应的 数据上报消息为目标实体设备存在故障的内容数据；取消告警是指当前实体事件界面上配置的事件对应的数据上报消息是用来取消之前告警的消息，表示设备已经正常了，数据上报消息为恢复了故障后上报的数据内容。
在一个实施例中，图7a、图7b、图7c所示的页面中的名称的设置是根据前述实施例中提及的设计原则来进行的，比如不超过25位等原则。
在一个实施例中，所述S504具体可以包括：检测目标实体设备的描述文件中所包括数据的数据类型；若所述包括第一类型数据，则根据第一类型数据得到实体属性信息，并根据实体属性信息生成属性模块，所述第一类型数据包括：模拟量输入数据AI、数字量输入DI中的任意一种或者两者组合；若包括第二类型数据，则根据所述第二类型数据得到实体服务信息，并根据实体服务信息生成服务模块，所述第二类型数据包括：模拟量输出AO、数字量输出DO中的任意一种或者两者组合；若包括第三类型数据，则根据所述第三类型数据得到实体事件信息，并根据实体事件信息生成事件模块，所述第三类型数据包括：故障关联数据；所述目标物模型是根据物联平台为所述目标实体设备配置的实体标记信息，以及所述属性模块、所述服务模块、所述事件模块中的任意一种或者多种生成的。
具体请参见图8a所示，图8a是本申请实施例的一种模型数据结构构建方法的流程示意图。本申请实施例的所述方法可以由上述提及的智能设备来实现。所述方法包括如下步骤。
S801：读取所述目标实体设备的描述文件，获取所述目标实体设备的原始数据。所属描述文件包括所述目标实体设备的类表文件、点表文件。本申请实施例中，实体设备在出厂时可以由厂商定义类表文件、点表文件等等，这些文件是静态文件。实体设备在运行过程中，就会在这些文件中设置设备信息、厂商信息、设备运行数据、设备控制指令对应的信息，比如，在运行过程中，点表文件包括name属性，上报的时候会是：{“name”:”xiaoming”}，其中的“xiaoming”就是设备运行数据。这些数据可以通过二进制机器码的形式传递给智能设备，由智能设备进行协议转换，并协议转换后的数据执行下述的S802。
S802：对所述原始数据进行筛选处理，得到所述目标实体设备的描述数据，所述筛选处理包括：对原始数据进行解析、过滤以及聚合，得到所述目标实体设备的设备信息、厂商信息、设备运行数据、设备控制指令等。
S803：检测所述目标实体设备的描述数据的数据类型。在S803中需要从目标实体设备的点表数据、类表数据中确定所述目标实体设备到底包括哪些数据，也就是说，根据实体设备的功用或者类型的不同，实体设备可以包括不同的数据。根据S803的检测结果，进行后续的数据处理过程。所述S801至S803与所述检测目标实体设备的描述文件中所包括数据的数据类型相对应。
S804：判断是否包含第一类型数据；若是则执行下述的S805，若否则执行下述的S806。具体是判断描述数据中是否包括模拟量输入数据AI、数字量输入DI等数据，若包含任意一个或者多个，则认为S804的判断结果为是。
S805：若包含第一类型数据，进一步判断是否构建了属性模块；若没有构建属性模块，则执行S810，生成对应的模块，即根据第一类型数据得到实体属性信息，并根据实体属性信息生成对应的属性模块。若已构建了属性模块，则执行下述的S811。
S806：判断是否包括第二类型数据；若是则执行下述的S807，若否，则执行下述的S808。具体是判断描述数据中是否包括模拟量输出AO、数字量输出DO等数据，如果包括其中的任意一个或者多个，则S806的判断结果为是。
S807：若包含第二类型数据，进一步判断是否构建了服务模块；若没有构建服务模块， 则执行S810，生成对应的模块，即根据第二类型数据得到实体服务信息，并根据实体服务信息生成对应的服务模块。若已构建了属性模块，则执行下述的S811。
S808：判断是否包括第三类型数据；若包含第三类型的数据，则执行下述的S809，若不包含则结束。具体是判断描述数据中是否包括故障关联数据，比如告警数据、故障数据等，若是，则确定S808的判断结果为是。
S809：若包含第三类型数据，进一步判断是否构建了事件模块；若不包含事件模块，则执行S810，生成对应的模块，即根据第三类型数据得到实体事件信息，并根据实体事件信息生成对应的事件模块。若已构建了事件模块，则执行下述的S811。
S810：生成对应的模块。如上述，根据实际情况生成属性模块、服务模块或者事件模块。
S811：在对应模块添加值到键值对中。在S810中生成的模块包括该键值对，在键值对中预先设置的键key，具体的数据作为值value，例如，对于属性模块而言，添加了键值对后的属性模块如下所示：
Figure PCTCN2022087175-appb-000002
S812：模块组装，得到物模型。将得到的属性模块、服务模块、事件模块中的一个或者多个进行模型组装，得到物模型。
在本申请实施例中，对物模型的数据构建过程包括根据信息生成各个模块的过程，还包含类表、点表的读取、解析、过滤与聚合过程，最后把输出的干净数据进行逻辑判断，各个模块组装形成物模型。可以理解的是，图8a所示的流程仅为举例，一方面，判断第一类型数据、第二类型数据以及第三类型数据的先后顺序可以根据实际需要进行调整，比如对于一些具备控制功能的实体设备，例如电视机、电风扇，可以先判断是否有第二类型数据，以便于生成服务模块对所述电视机、电风扇进行控制，因为此类实体设备一般具备第二类型数据。同理，一些具备告警功能的实体设备，则可以优先判断是否具备第三类型数据，以便于快速确定实体事件信息，生成事件模块。
通过所述目标物模型对所述运行数据进行处理的过程中，所述目标物模型是基于所述属性模块对所述运行数据中的状态数据进行处理、所述目标物模型是基于所述事件模块对所述运行数据中的故障关联数据进行处理；其中，所述状态数据例如可以是卷帘门的开关状态、电梯的运行状态等等，所述属性模块可以从运行数据中获取到这些状态数据，并转换成可以上报给物联平台的消息，例如可以将卷帘门处于开启状态的“开启”数据上报给物联平台。
所述目标物模型是基于所述服务模块对从物联平台接收到的控制数据进行处理后对所述目标实体设备进行控制、并基于所述服务模块对获取所述目标实体设备被控制后反馈的响应数据进行处理。例如，通过服务模块可以向卷帘门发起关闭的控制指令，并将卷帘门关闭后反馈的“已关闭”的响应数据上报给物联平台。
再请参见图8b，是本申请实施例的一种基于物联网的设备管理方法的流程示意图，本申请实施例较为完整地描述了物联网中的数据交互以及控制逻辑。本申请实施例的所述方法包括如下步骤。
S821：第一智能设备生成实体设备的物模型。对于需要接入物联平台的各种实体设备而言，比如FAS设备、UPS设备等等，这些实体设备生成设备点表数据后，第一智能设备基于 这些设备点表数据分别为不同的实体设备构建物模型，在第一智能设备中得到物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联。
S822：第一智能设备将生成的各个物模型作为实体设备的数字化抽象描述，接入到物联平台中。接入过程中包括分别基于物模型向物联平台注册登记。另外，第一智能设备还可以基于物模型对与该第一智能设备连接的各个实体设备进行管理。
S823：第一智能设备对各个物模型产生的数据上报消息，进行鉴权、以及公私钥的加密处理后，发送给物联平台。
S824：目标实体设备发送机器数据，具体可以为二进制机器码类型的数据。
S825：第二智能设备进行协议转换，将机器数据转换为能够被目标物模型识别的计算机字符数据，该计算机字符数据则为所述目标实体设备的运行数据。
S826：第二智能设备对所述目标实体设备的运行数据进行鉴权、数据校验、过滤等筛选处理。并将筛选处理后的数据上报消息发送给物联平台。
S827：第二智能设备通过目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息。
S828：物联平台基于规则引擎对第二智能设备的数据上报消息进行处理。对于接收到的各个智能设备的数据上报消息，可以通过结构化存储的方式来进行存储。该对第二智能设备的数据上报消息进行的处理包括：数据分析处理，并输出数据分析结果，方便管理人员能够了解目标实体设备等运行情况。对第二智能设备的数据上报消息进行的处理还包括：收敛告警处理，收敛主要是指对数据上报消息中包括的一些上报次数较多的数据进行处理，使这类数据仅上报一次或者两次或者预设的次数。
S829：物联设备进行联动执行处理。规则引擎还预先配置的一些控制规则，联动处理是指基于控制规则、和一个或者多个实体设备对应的数据上报消息(比如S828对应的数据上报消息、S823对应的数据上报消息)为一个或者多个实体设备生成控制指令，在数据流转动作执行阶段中，将这些控制指令对应的数据发送给需要被控制的实体设备，实现对实体设备的联动控制。
S830：物联平台下发控制指令。该控制指令可以对S828对应的数据上报消息关联的实体设备、S823对应的数据上报消息关联的实体设备进行控制。具体是通过这些设备对应的物模型来传输控制指令的。
在本申请实施例中，基于实体设备、为实体设备配置物模型的智能设备、以及物联平台构成的系统，经过定义的交互方式，可以较为有效地将现实世界中的诸如电梯、卷帘门等特定的实体设备接入到物联网中，本方案使得一些实体的物联设备映射成空间数据成为可能，基于物模型可以在一定程度上实现在线、关闭状态数据，设备探测和检测指标数据，设备告警通知数据等数据的上报、以及对实体设备的管理，加快了各种实体工作场景中数字化转型进程。
再请参见图9，是本申请实施例的又一种设备的运行管理方法的流程示意图，本申请实施例的所述方法由管理设备，所述管理设备设置于上述提及的物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述智能设备具体可以是指上述实施例中提及的智能设备。本申请实施例的所述方法包括如下步骤。
S901：接收所述智能设备生成的数据上报消息，所述数据上报消息是所述智能设备通过 目标物模型对目标实体设备的运行数据进行处理后得到的。所述智能设备获取并发送数据上报消息的过程可参考前述实施例中相关内容的描述，在此不赘述。
S902：根据所述数据上报消息对所述目标实体设备进行运行管理；其中，进行运行管理包括：根据所述数据上报消息对目标实体设备进行数据显示管理处理、根据所述数据上报消息向所述智能设备发送控制指令中的任意一个或者两者的组合，所述控制指令用于触发所述智能设备通过目标物模型对目标实体设备进行运行控制。当然还可以包括诸如数据上报消息的存储管理方便后续检索查看等。
在一个实施例中，所述管理设备还可以执行如下步骤：
接收智能设备生成的关于目标实体设备的接入请求；为所述目标实体设备配置实体标记信息，以触发所述智能设备根据所述实体标记信息为所述目标实体设备配置目标物模型；其中，所述实体标记信息包括：物联平台为所述目标实体设备生成的设备标识、物联平台为所述目标实体设备生成的产品标识、物联平台为所述目标实体设备生成的数据点信息中的任意一个或者多个；所述设备标识用于在物联平台唯一识别所述目标实体设备、所述产品标识用于识别所述目标实体设备的设备型号、所述数据点信息中定义了所述目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
在本申请实施例中，对于物联网而言，物联平台可以通过智能设备上配置的物模型对一个或者多个不具备物联网功能的实体设备进行数据收集以及管理，一方面可以实现对实体设备在线、关闭状态数据，设备探测和检测指标数据，设备告警通知数据等数据的收集，另一方面，基于这些数据还可以对实体设备的管理，加快了各种实体工作场景中数字化转型进程。
图10是本申请实施例的一种设备的运行管理装置的结构示意图；该装置可以设于智能设备中，智能设备用于与工作环境中的实体设备进行数据交互，智能设备中配置有物模型集合，物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联。如图10所示，该装置可包括：
获取单元1001，用于调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；目标物模型是根据采集到的目标实体设备的实体描述信息、物联平台为目标实体设备配置的实体标记信息生成的。
处理单元1002，用于通过目标物模型对运行数据进行处理，得到目标实体设备的数据上报消息；数据上报消息的格式是在构建目标物模型时确定的；
处理单元1002，还用于将数据上报消息发送给物联平台，以触发物联平台对目标实体设备进行运行管理。
在一种可能的实施方式中，获取单元1001具体用于：
接收工作环境中的目标实体设备生成的机器数据；
对接收到的机器数据进行协议转换处理，将机器数据转换为能够被目标物模型识别的计算机字符数据；
将计算机字符数据作为目标实体设备的运行数据输入到目标物模型中。
在一种可能的实施方式中，处理单元1002具体用于：
利用物联平台提供的公钥对数据上报消息进行加密；
将加密后的数据上报消息发送给物联平台，加密后的数据上报消息用于触发物联平台基于该物联平台的私钥对加密后的数据上报消息进行解密，得到目标实体设备的数据上报消息。
在一种可能的实施方式中，处理单元1002还用于：
响应于目标实体设备接入事件，检测目标实体设备的输出数据的数据类型；
若目标实体设备的输出数据的数据类型为二进制机器码类型，则获取目标实体设备的实体描述信息，实体描述信息是根据目标实体设备的描述文件、用户录入信息中的任意一个或者两者的组合得到的；
根据获取到的实体描述信息、物联平台为目标实体设备配置的实体标记信息，生成与目标实体设备关联的目标物模型；
其中，目标实体设备的描述文件包括：目标实体设备的点表文件、类表文件中的一种或者两者的组合。
在一种可能的实施方式中，处理单元1002具体用于：
检测目标实体设备的描述文件中所包括数据的数据类型；
若包括第一类型数据，则根据第一类型数据得到实体属性信息，并根据实体属性信息生成属性模块；
若包括第二类型数据，则根据第二类型数据得到实体服务信息，并根据实体服务信息生成服务模块；
若包括第三类型数据，则根据第三类型数据得到实体事件信息，并根据实体事件信息生成事件模块；
目标物模型是根据物联平台为目标实体设备配置的实体标记信息，以及属性模块、服务模块、事件模块中的任意一种或者多种生成的。
在一种可能的实施方式中，在通过目标物模型对运行数据进行处理的过程中，目标物模型是基于属性模块对运行数据中的状态数据进行处理、目标物模型是基于事件模块对运行数据中的故障关联数据进行处理；
目标物模型是基于服务模块对从物联平台接收到的控制数据进行处理后对目标实体设备进行控制、并基于服务模块对获取目标实体设备被控制后反馈的响应数据进行处理。
在一种可能的实施方式中，处理单元1002具体用于：
获取物联平台为目标实体设备配置的实体标记信息；
其中，实体标记信息包括：物联平台为目标实体设备生成的设备标识、物联平台为目标实体设备生成的产品标识、物联平台为目标实体设备生成的数据点信息中的任意一个或者多个；
设备标识用于在物联平台唯一识别目标实体设备、产品标识用于识别目标实体设备的设备型号、数据点信息中定义了目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
基于同一发明构思，本申请实施例中提供的设备的运行管理装置解决问题的原理与有益效果与本申请方法实施例中数据处理装置解决问题的原理和有益效果相似，可以参见方法的实施的原理和有益效果，为简洁描述，在这里不再赘述。
图11是本申请实施例的另一种设备的运行管理装置的结构示意图；该装置可以设于管理设备中，管理设备设置于物联平台，管理设备用于与智能设备进行数据交互，智能设备中配置有物模型集合，物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；如图11所示，该装置包括：
接收单元1101，用于接收智能设备生成的数据上报消息，数据上报消息是智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
管理单元1102，用于根据数据上报消息对目标实体设备进行运行管理；
其中，进行运行管理包括：根据数据上报消息对目标实体设备进行数据显示管理处理、 根据数据上报消息向智能设备发送控制指令中的任意一个或者两者的组合，控制指令用于触发智能设备通过目标物模型对目标实体设备进行运行控制。
在一种可能的实施方式中，处理单元1102还用于：
接收智能设备生成的关于目标实体设备的接入请求；
为目标实体设备配置实体标记信息，以触发智能设备根据实体标记信息为目标实体设备配置目标物模型；
其中，实体标记信息包括：物联平台为目标实体设备生成的设备标识、物联平台为目标实体设备生成的产品标识、物联平台为目标实体设备生成的数据点信息中的任意一个或者多个；
设备标识用于在物联平台唯一识别目标实体设备、产品标识用于识别目标实体设备的设备型号、数据点信息中定义了目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
基于同一发明构思，本申请实施例中提供的设备的运行管理装置解决问题的原理与有益效果与本申请方法实施例中数据处理装置解决问题的原理和有益效果相似，可以参见方法的实施的原理和有益效果，为简洁描述，在这里不再赘述。
图12是本申请实施例的一种智能设备的结构示意图；智能设备用于与工作环境中的实体设备进行数据交互，智能设备中配置有物模型集合，物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；如图12所示，智能设备包括：一个或多个处理器1201；一个或多个输入设备，一个或多个输出设备和存储器1202。上述处理器1201、输入设备、输出设备和存储器1202可通过总线连接。存储器1202用于存储计算机可读存储介质，该计算机可读存储介质中存储有计算机程序，该计算机程序被处理器1201调用并执行以下步骤：
调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；目标物模型是根据采集到的目标实体设备的实体描述信息、物联平台为目标实体设备配置的实体标记信息生成的；
通过目标物模型对运行数据进行处理，得到目标实体设备的数据上报消息；数据上报消息的格式是在构建目标物模型时确定的；
将数据上报消息发送给物联平台，以触发物联平台对目标实体设备进行运行管理。
在一种可行的实施方式中，该计算机程序被处理器1201调用并执行调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据的过程中，具体执行如下步骤：
接收工作环境中的目标实体设备生成的机器数据；
对接收到的机器数据进行协议转换处理，将机器数据转换为能够被目标物模型识别的计算机字符数据；
将计算机字符数据作为目标实体设备的运行数据输入到目标物模型中。
在一种可行的实施方式中，该计算机程序被处理器1201调用并执行将数据上报消息发送给物联平台的过程中，具体执行如下步骤：
利用物联平台提供的公钥对数据上报消息进行加密；
将加密后的数据上报消息发送给物联平台，加密后的数据上报消息用于触发物联平台基于该物联平台的私钥对加密后的数据上报消息进行解密，得到目标实体设备的数据上报消息。
在一种可行的实施方式中，该计算机程序被处理器1201调用并执行在调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据的操作之前，还执行如下步骤：
响应于目标实体设备接入事件，检测目标实体设备的输出数据的数据类型；
若目标实体设备的输出数据的数据类型为二进制机器码类型，则获取目标实体设备的实体描述信息，实体描述信息是根据目标实体设备的描述文件、用户录入信息中的任意一个或者两者的组合得到的；
根据获取到的实体描述信息、物联平台为目标实体设备配置的实体标记信息，生成与目标实体设备关联的目标物模型；
其中，目标实体设备的描述文件包括：目标实体设备的点表文件、类表文件中的一种或者两者的组合。
在一种可行的实施方式中，该计算机程序被处理器1201调用并执行根据获取到的实体描述信息、物联平台为目标实体设备配置的实体标记信息，生成与目标实体设备关联的目标物模型的过程中，具体执行如下步骤：
检测目标实体设备的描述文件中所包括数据的数据类型；
若包括第一类型数据，则根据第一类型数据得到实体属性信息，并根据实体属性信息生成属性模块；
若包括第二类型数据，则根据第二类型数据得到实体服务信息，并根据实体服务信息生成服务模块；
若包括第三类型数据，则根据第三类型数据得到实体事件信息，并根据实体事件信息生成事件模块；
目标物模型是根据物联平台为目标实体设备配置的实体标记信息，以及属性模块、服务模块、事件模块中的任意一种或者多种生成的。
在一种可行的实施方式中，在通过目标物模型对运行数据进行处理的过程中，目标物模型是基于属性模块对运行数据中的状态数据进行处理、目标物模型是基于事件模块对运行数据中的故障关联数据进行处理；
目标物模型是基于服务模块对从物联平台接收到的控制数据进行处理后对目标实体设备进行控制、并基于服务模块对获取目标实体设备被控制后反馈的响应数据进行处理。
在一种可行的实施方式中，该计算机程序被处理器1201调用并执行根据获取到的实体描述信息、物联平台为目标实体设备配置的实体标记信息，生成与目标实体设备关联的目标物模型的过程中，具体执行如下步骤：
获取物联平台为目标实体设备配置的实体标记信息；
其中，实体标记信息包括：物联平台为目标实体设备生成的设备标识、物联平台为目标实体设备生成的产品标识、物联平台为目标实体设备生成的数据点信息中的任意一个或者多个；
设备标识用于在物联平台唯一识别目标实体设备、产品标识用于识别目标实体设备的设备型号、数据点信息中定义了目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
基于同一发明构思，本申请实施例中提供的智能设备解决问题的原理与有益效果与本申请方法实施例中数据处理装置解决问题的原理和有益效果相似，可以参见方法的实施的原理和有益效果，为简洁描述，在这里不再赘述。
图13是本申请实施例的一种管理设备的结构示意图；管理设备设置于物联平台，管理设备用于与智能设备进行数据交互，智能设备中配置有物模型集合，物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；如图13所示，该管理设备 包括一个或多个处理器1301；一个或多个输入设备，一个或多个输出设备和存储器1302。上述处理器1301、输入设备、输出设备和存储器1302可通过总线连接。存储器1302用于存储计算机可读存储介质，该计算机可读存储介质中存储有计算机程序，该计算机程序被处理器1301调用并执行以下步骤：
接收智能设备生成的数据上报消息，数据上报消息是智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
根据数据上报消息对目标实体设备进行运行管理；
其中，进行运行管理包括：根据数据上报消息对目标实体设备进行数据显示管理处理、根据数据上报消息向智能设备发送控制指令中的任意一个或者两者的组合，控制指令用于触发智能设备通过目标物模型对目标实体设备进行运行控制。
在一种可行的实施方式中，该计算机程序被处理器1301调用并且还执行如下步骤：
接收智能设备生成的关于目标实体设备的接入请求；
为目标实体设备配置实体标记信息，以触发智能设备根据实体标记信息为目标实体设备配置目标物模型；
其中，实体标记信息包括：物联平台为目标实体设备生成的设备标识、物联平台为目标实体设备生成的产品标识、物联平台为目标实体设备生成的数据点信息中的任意一个或者多个；
设备标识用于在物联平台唯一识别目标实体设备、产品标识用于识别目标实体设备的设备型号、数据点信息中定义了目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
基于同一发明构思，本申请实施例中提供的管理设备解决问题的原理与有益效果与本申请方法实施例中数据处理装置解决问题的原理和有益效果相似，可以参见方法的实施的原理和有益效果，为简洁描述，在这里不再赘述。
本申请实施例还提供了一种计算机程序产品或计算机程序，该计算机程序产品或计算机程序包括计算机指令，该计算机指令存储在计算机可读存储介质中。计算机设备的处理器从计算机可读存储介质读取该计算机指令，处理器执行该计算机指令，使得该计算机设备执行前述实施例提供的方法。
本申请实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。
本申请实施例装置中的模块可以根据实际需要进行合并、划分和删减。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。
以上所揭露的仅为本发明的部分实施例而已，当然不能以此来限定本发明之权利范围，本领域普通技术人员可以理解实现上述实施例的全部或部分流程，并依本发明权利要求所作的等同变化，仍属于发明所涵盖的范围。

Claims (14)

  1. 一种设备的运行管理方法，其特征在于，应用于智能设备，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述方法包括：
    调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、所述物联平台为所述目标实体设备配置的实体标记信息生成的；
    通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的；
    将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。
  2. 如权利要求1所述的方法，其特征在于，所述调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据，包括：
    接收工作环境中的目标实体设备生成的机器数据；
    对接收到的所述机器数据进行协议转换处理，将所述机器数据转换为能够被目标物模型识别的计算机字符数据；
    将所述计算机字符数据作为所述目标实体设备的运行数据输入到所述目标物模型中。
  3. 如权利要求1所述的方法，其特征在于，所述将所述数据上报消息发送给物联平台，包括：
    利用所述物联平台提供的公钥对所述数据上报消息进行加密；
    将加密后的所述数据上报消息发送给所述物联平台，加密后的所述数据上报消息用于触发所述物联平台基于该物联平台的私钥对所述加密后的数据上报消息进行解密，得到所述目标实体设备的数据上报消息。
  4. 如权利要求1-3任一项所述的方法，其特征在于，在所述调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据之前，还包括：
    响应于目标实体设备接入事件，检测所述目标实体设备的输出数据的数据类型；
    若所述目标实体设备的输出数据的数据类型为二进制机器码类型，则获取所述目标实体设备的实体描述信息，所述实体描述信息是根据所述目标实体设备的描述文件、用户录入信息中的任意一个或者两者的组合得到的；
    根据获取到的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息，生成与所述目标实体设备关联的目标物模型；
    其中，所述目标实体设备的描述文件包括：所述目标实体设备的点表文件、类表文件中的一种或者两者的组合。
  5. 如权利要求4所述的方法，其特征在于，所述根据获取到的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息，生成与所述目标实体设备关联的目标物模型，包括：
    检测目标实体设备的描述文件中所包括数据的数据类型；
    若所述包括第一类型数据，则根据第一类型数据得到实体属性信息，并根据实体属性信息生成属性模块；
    若包括第二类型数据，则根据所述第二类型数据得到实体服务信息，并根据实体服务信息生成服务模块；
    若包括第三类型数据，则根据所述第三类型数据得到实体事件信息，并根据实体事件信息生成事件模块；
    所述目标物模型是根据物联平台为所述目标实体设备配置的实体标记信息，以及所述属性模块、所述服务模块、所述事件模块中的任意一种或者多种生成的。
  6. 如权利要求5所述的方法，其特征在于，在通过所述目标物模型对所述运行数据进行处理的过程中，所述目标物模型是基于所述属性模块对所述运行数据中的状态数据进行处理、所述目标物模型是基于所述事件模块对所述运行数据中的故障关联数据进行处理；
    所述目标物模型是基于所述服务模块对从物联平台接收到的控制数据进行处理后对所述目标实体设备进行控制、并基于所述服务模块对获取所述目标实体设备被控制后反馈的响应数据进行处理。
  7. 如权利要求4所述的方法，其特征在于，所述根据获取到的实体描述信息、物联平台为所述目标实体设备配置的实体标记信息，生成与所述目标实体设备关联的目标物模型，包括：
    获取物联平台为所述目标实体设备配置的实体标记信息；
    其中，所述实体标记信息包括：物联平台为所述目标实体设备生成的设备标识、物联平台为所述目标实体设备生成的产品标识、物联平台为所述目标实体设备生成的数据点信息中的任意一个或者多个；
    所述设备标识用于在物联平台唯一识别所述目标实体设备、所述产品标识用于识别所述目标实体设备的设备型号、所述数据点信息中定义了所述目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
  8. 一种设备的运行管理方法，其特征在于，应用于管理设备，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述方法包括：
    接收所述智能设备生成的数据上报消息，所述数据上报消息是所述智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
    根据所述数据上报消息对所述目标实体设备进行运行管理；
    其中，进行运行管理包括：根据所述数据上报消息对目标实体设备进行数据显示管理处理、根据所述数据上报消息向所述智能设备发送控制指令中的任意一个或者两者的组合，所述控制指令用于触发所述智能设备通过目标物模型对目标实体设备进行运行控制。
  9. 如权利要求8所述的方法，其特征在于，还包括：
    接收智能设备生成的关于目标实体设备的接入请求；
    为所述目标实体设备配置实体标记信息，以触发所述智能设备根据所述实体标记信息为所述目标实体设备配置目标物模型；
    其中，所述实体标记信息包括：物联平台为所述目标实体设备生成的设备标识、物联平台为所述目标实体设备生成的产品标识、物联平台为所述目标实体设备生成的数据点信息中 的任意一个或者多个；
    所述设备标识用于在物联平台唯一识别所述目标实体设备、所述产品标识用于识别所述目标实体设备的设备型号、所述数据点信息中定义了所述目标实体设备产生的各个类型数据的数据标识及其数据组织格式。
  10. 一种设备的运行管理装置，其特征在于，所述装置设于智能设备中，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述装置包括：
    获取单元，用于调用目标物模型获取与该目标物模型关联的目标实体设备的运行数据；所述目标物模型是根据采集到的所述目标实体设备的实体描述信息、所述物联平台为所述目标实体设备配置的实体标记信息生成的；
    处理单元，用于通过所述目标物模型对所述运行数据进行处理，得到所述目标实体设备的数据上报消息；所述数据上报消息的格式是在构建所述目标物模型时确定的；
    所述处理单元，还用于将所述数据上报消息发送给物联平台，以触发所述物联平台对所述目标实体设备进行运行管理。
  11. 一种设备的运行管理装置，其特征在于，所述装置设于管理设备中，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述装置包括：
    接收单元，用于接收所述智能设备生成的数据上报消息，所述数据上报消息是所述智能设备通过目标物模型对目标实体设备的运行数据进行处理后得到的；
    管理单元，用于根据所述数据上报消息对所述目标实体设备进行运行管理；
    其中，进行运行管理包括：根据所述数据上报消息对目标实体设备进行数据显示管理处理、根据所述数据上报消息向所述智能设备发送控制指令中的任意一个或者两者的组合，所述控制指令用于触发所述智能设备通过目标物模型对目标实体设备进行运行控制。
  12. 一种智能设备，其特征在于，所述智能设备用于与工作环境中的实体设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与所述工作环境中的一个实体设备关联；所述智能设备包括：
    处理器，适于执行计算机程序；
    计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序，所述计算机程序被所述处理器执行时，实现如权利要求1～7任一项所述的设备的运行管理方法。
  13. 一种管理设备，其特征在于，所述管理设备设置于物联平台，所述管理设备用于与智能设备进行数据交互，所述智能设备中配置有物模型集合，所述物模型集合中包括一个或者多个物模型，每一个物模型与工作环境中的一个实体设备关联；所述管理设备包括：
    处理器，适于执行计算机程序；
    计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序，所述计算机程序被所述处理器执行时，实现如权利要求8或9所述的设备的运行管理方法。
  14. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质存储有计算机程序，所述计算机程序适于由处理器加载并执行如权利要求1～9任一项所述的设备的运行管理方法。
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