image_1.pngCopyright©2024 Yonyou Group All Rights Reserved.Without the written permission of Yonyou Group, no part of this user manual may be copied, reproduced, translated, or reduced for any purpose. The content of this user manual may change without notice, please stay informed.Please note: The content of this user manual does not represent a commitment made by Yonyou Network.FeaturesNameFeature DescriptionModel ManagementComprehensive management of gateway models and sub-device models, which are abstract models of device information and the basis for rapid device access.Gateway ManagementCreate one or more access management gateways for a specific factory or area, enabling simple and strong deployment of data access.Driver ManagementManagement of pre-configured supported driver information within the system, facilitating users to quickly utilize the built-in supported collection drivers.Channel ManagementMaintain the physical channels for device data collection, creating them under a specific gateway based on designated drivers; multiple channels can be created under one gateway.Device ManagementComprehensive management of collection devices, allowing the creation of devices based on models under collection channels and binding source variable information to achieve device access.Gateway DeploymentChannel information and device information under the gateway can be packaged for download, enabling one-click deployment after download for rapid data access.Gateway MonitoringChannel information, device operation information, logs, etc., under the gateway can be quickly viewed as needed, facilitating customer operation and maintenance.Alarm MonitoringBased on the alarm rules set under the model, real-time data of each device instance is filtered; if alarm data is triggered, notifications can be sent to individuals or third-party systems according to pre-set notification strategies.Data AnalysisData trend analysis compares aggregated values, raw values, real-time values, etc., through querying historical and real-time data.Application ScenariosAIoT, which stands for AI + IoT, is the combination of artificial intelligence (AI) technology and the infrastructure of the Internet of Things (IoT). Unlike IoT, which simply collects data, AIoT can utilize AI technologies such as ML/DL to analyze the massive amounts of data collected by IoT with little or no human intervention. This helps humans formulate strategies, improve human-machine interaction within IoT, and enhance data management and analysis capabilities, leading to more efficient IoT operations. Yongyou's AIoT products combine the technological advantages of AI and IoT with the advantages of Yongyou's BIP platform for enterprise services, and are widely applied in various industrial fields, achieving upgrades in intelligence and automation.Design Optimization: The application of artificial intelligence in intelligent innovation primarily assists in product structural design and simulation analysis. During the structural design process, enterprises generate a large number of structural components and model libraries. By utilizing AI technology in the optimization management of model libraries, the efficiency of building and applying the enterprise knowledge base can be significantly improved.In the process of multiphysics simulation, AI technology can better optimize the simulation field, accelerate data analysis speed, and enhance manual modeling. Additionally, material simulation and topology optimization based on 3D printing technology will also benefit from AI technology.Optimize Production Scheduling: In modern digital factories, digital twin technology is used to simulate and analyze the production processes. AIoT can generate optimal production schedules, achieving efficient scheduling under multiple boundaries and constraints. This reduces material and capacity waste, quickly responds to production demands, and improves production efficiency.Optimize the Supply Chain: An intelligent system covering the upstream and downstream of the supply chain can monitor the entire lifecycle of enterprise products and utilize AIoT for smart data accounting. Based on raw material quotes, component quotes, product quotes, and market trends, it coordinates production, supply, and sales to formulate reasonable strategies, reduce inventory, lower costs, and optimize the entire supply chain process.Predictive Maintenance: Through AIoT data collection, based on digital twin models, simulate and analyze the equipment in various stages of industrial processes. Predict the operating conditions of the equipment over a period of time, and implement precise maintenance based on the operating conditions to minimize downtime risks and reduce downtime.What is a Physical ModelThe 物模型 (Thing Model) is a data model defined by the IoT platform for a category of devices, used to describe the functions of a product. This article introduces the concepts related to the Thing Model and its usage limitations.The physical model is a digital representation of devices in physical space on the platform, interpreting the services provided by the device from dimensions such as attributes, control, rules, device status, on/off records, and drawings.Function TypeDescriptionPropertyUsed to describe specific information and status of device operation. For example, the current environmental temperature read by environmental monitoring equipment, the status of a smart light switch, the wind speed level of a fan, etc. Properties can be divided into read-write and read-only types. Read-write types support reading and setting property values, while read-only types only support reading property values.ControlRefers to the commands or methods that the device can expose for external calls. Input and output parameters can be set in service calls. Input parameters are the parameters during service execution, while output parameters are the results after service execution. Compared to properties, services can implement more complex business logic through a single command, such as executing a specific task. Services can be called in asynchronous and synchronous ways.Data ConversionAlarm RulesInformation actively reported to the cloud during device operation, generally containing information that needs to be perceived and processed externally, alarms, and faults. Events can contain multiple output parameters. For example, notification information after a task is completed; temperature and time information when a device malfunctions; operational status during device alarms, etc. Events can be subscribed to and pushed.Power On/Off RecordsDrawingsPrerequisites1.The AIoT standard product has been installed and deployed, and you can access the workspace page and switch the main menu:image_2.png2.You can access the IoT platform page:image_3.png3.The classification of equipment models has been initialized and maintained in the data dictionary, and it complies with the industry classification standards of the customer.4.The device models to be added have been abstracted, allowing for the selection of model types as needed, and include basic information on addable model attributes.Create Object ModelModel ClassificationDirect Connection Device Model: A model for connecting system devices through a cloud gateway (MQTT/HTTPS protocol), suitable for scenarios where there is already a data collection aggregation gateway.Gateway Device Model: The model of the local gateway device. Devices created through this model need to configure gateway device information in this system and download and install the gateway application. This is the most commonly used form of data collection and aggregation.Gateway Sub-device Model: Sub-devices can be created under the local gateway device for data collection access. The required device model is the gateway sub-device model, which is usually the most commonly used physical device model in the system.Create Object ModelCreating a physical model can be done in two ways: manual creation and template import. Below is a detailed introduction to each method:Step 1: Click the Add button on the model list page.image_4.pngimage_5.pngStep 2: Fill in the basic information of the equipment modelThe device model name is a required field and cannot be changed once filled in. Please name it in a way that has clear business significance for future use. Choose the node type based on the application scenario of the model and the introduction of model types in section 2.1. Select the device field and device model category in order, fill in the device manufacturer and device model. If there are images, you can upload device images. The format and image size restrictions are as shown in the above image. After adding an appropriate description, click the save button.Step 3: View the physical model information and edit basic information.5.Check the object model authorization certificate; only authorized object models can be used in the system:image_6.png6.Edit Basic Informationimage_7.png7.Edit Label Informationimage_8.pngStep 4: Definition of Physical Model Attributesimage_9.pngManually create attributesAdd non-computed properties --- Directly collected attributes:image_10.pngThe attribute name, data type, read/write type, and whether it is a calculated value are required information. If the information collected needs to be escaped, you can choose the escape settings as follows:image_11.pngAdd calculated properties -- Calculate combined properties through collected attributes:image_12.pngCalculated properties can solve the functionality of deriving required attributes based on collected data information and known conditions, supporting addition, subtraction, multiplication, division, exponentiation, modulus operation, ternary operation, and combinations of parentheses, etc.Excel Template Import AttributesStep 1: Download the attribute import template:image_13.pngStep 2: Fill in the attribute information:image_14.pngStep 3: Import Attributesimage_15.pngImport Results:image_16.pngExisting object model copy attributes:image_17.pngSelect and click OK to copy the existing model attributes.Step 5: Maintain Alarm RulesSee the creation of alarm rules.Step 1: Download the 物模型 import template.image_18.pngImported empty template after download:image_19.pngStep 2: Fill in the physical model informationFill in the basic information of the physical model:image_20.pngFill in attribute information:image_21.pngFill in the alarm rule information:image_22.pngStep 3: Import the physical model from the Excel file.image_23.pngImport Results:image_24.pngThe product model has been successfully created using the Excel import template.Create GatewayWhat is a GatewayA device with gateway functionality can connect multiple devices through its channels, typically integrating the equipment of a factory or area into the same gateway. The configuration of collection devices under the same gateway can be packaged into an installation package, enabling rapid deployment of edge-side collection. The gateway device holds an important position in the overall architecture:Create GatewayPrerequisites: The gateway model has been created, see Creating Physical Models for details.Creating an entry for the gateway device:image_25.pngGateway device information filling:image_26.png8.Gateway device created successfully.image_27.pngClick on device details to view gateway device details and authentication information:image_28.pngView and maintain basic information:image_29.pngView and maintain alarm informationimage_30.pngView runtime data informationimage_31.pngView the predefined Topic list:image_32.pngView and maintain sub-device information:image_33.pngEdge TerminalOverviewIoT edge comp...
