ThingsBoard
The ThingsBoard Edge is an open-source ThingsBoard's software product for edge computing.（边缘计算-在数据创建的地方进行分析和管理，无缝同步到thingsboard平台。）
It allows bringing data analysis and management to the edge, where the data created. At the same time ThingsBoard Edge seamlessly synchronizing with the ThingsBoard cloud (ThingsBoard Demo or ThingsBoard CE) according to your business needs.
文档
ThingsBoard Edge documentation is hosted on thingsboard.io.
ThingsBoard Edge use-cases 案例
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Autonomous Vehicles（自动驾驶汽车） Edge computing makes it possible to collect, process and react to road events with almost no latency. Modern autonomous vehicles produces tons of data - between 5 TB and 20 TB a day. 4G or 5G will not able to provide that network throughput, but with ThingsBoard Edge you are able to filter data. Most of this data should be processed locally, and only subset of this data will be pushed to the cloud.
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Smart Farming（智慧农业） Quickly react to failures of silo aeration systems on a remote site even if connectivity to the cloud from on-field location is pure at the moment.
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Smart Houses（智能住宅） Bringing the processing and analyzing data closer to the smart house provides the possibility to secure sensitive user information at the edge. Additionally, it provides a good user experience because of the low latency of smart house solutions - user will get responses from end devices much faster, comparing to connecting edge devices to the cloud to make some decisions.
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Security Solutions（安全解决方案） It's necessary to react to security violations and threats within seconds and edge provides this possibility. You don't need to care about quality of your connectivity to cloud - decision will be made by local edge engine on a remote site in real-time. 有必要在几秒钟内对安全违规和威胁做出反应，而边缘提供了这种可能性。您无需关心与云的连接质量 - 决策将由远程站点上的本地边缘引擎实时做出。
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In-hospital Monitoring（院内监测） To secure data privacy in healthcare devices processing of this data must be done on the edge. Push to the cloud only required pieces of readings from medical devices, while storing all other sensitive data on the edge. 为了保护医疗设备中的数据隐私，必须在边缘处理这些数据。推送到云只需要来自医疗设备的读数，同时将所有其他敏感数据存储在边缘。 Additional benefit from edge processing in this use-case - react to critical medical cases as quickly as possible due to real time processing of data from edge medical devices. 在此用例中，边缘处理的额外好处 - 由于实时处理来自边缘医疗设备的数据，因此尽快对关键医疗案例做出反应。
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Predictive Maintenance（预测性维护） Brings processing and storage of edge device readings closer to the equipment. Analyze tons of data locally and detect changes in the production lines before a failure occurs. Send to the cloud only average readings from productions lines according to your business needs. 使边缘设备读数的处理和存储更接近设备。在本地分析大量数据，并在故障发生之前检测生产线的变化。根据您的业务需求，仅将生产线的平均读数发送到云端。
ThingsBoard Edge features 功能
With ThingsBoard Edge you get the following benefits:
- Local deployment and storage（本地部署和存储） to process and store data from edge (local) devices without connection to the cloud. Push updates to the cloud once connection restored.
- Traffic filtering（流量过滤） to filter data from edge (local) devices on the ThingsBoard Edge service and push to cloud only subset of the data for further processing or storage.
- Local alarms（本地警报） to react instantly to critical situations on site without connectivity to cloud.
- Monitor local events and timeseries data with a real-time dashboards.
- Batch Update（批量更新） thousands of edge configurations in a single click.
- Local storage（本地存储） to store data from the edge devices on the edge if there is no active connection to cloud and push to the cloud updates once connection restored.
ThingsBoard Edge inherits features from ThingsBoard CE to provide you the same experience how to connect, manage and process data from your devices.
ThingsBoard Edge 继承了 ThingsBoard CE 的功能，为您提供与连接、管理和处理设备中的数据相同的体验。
It supports next ThingsBoard Community Edition features:
- Attributes（属性） - assign and manage custom attributes to your entities.
- Telemetry（遥测） - API for collection of time-series data of your devices.
- Entities and relations（实体和关系） - model physical world objects (e.g. devices and assets) and relations between them.
- Data visualization（数据可视化） - develop custom dashboards and widgets.
- Rule engine（规则引擎） - manage data processing & actions on incoming telemetry and events.
- RPC - send remote procedure calls (RPC) both from edge and cloud sides to devices and vice versa.
- Audit log（审计日志） - track user activity.
- API Limits - control and limit number of API requests from a single host.
Getting Started
Collect and Visualize your IoT Edge data in minutes by following this guide.
Licenses
This project is released under Apache 2.0 License.