EMQ & Wanwei jointly create a new era of AIoT, a complete construction of IoT and video data synergy, efficient and fast access to IoT and application platforms, in government, education, smart communities, power, industry and other industry scenarios It is widely used.
Big Data Era
Both the Internet of Things and AI are inseparable from data, which is the foundation of the interconnection of everything and human-computer interaction. The intervention of AI has given IoT a connected "brain", the development of storage has given data a basic "logistics guarantee", and the rapid expansion of cloud services has given data greater value.
EMQ joins hands with Wanwei
EMQ provides soft real-time, high-concurrency, low-latency, distributed hyper-convergence to build IoT device access and open up the data path of MQTT , and provides open source IoT message and streaming data processing covering edge and cloud computing Middleware is the necessary infrastructure software and key data hub for enterprise-level IoT applications and large-scale IoT platforms.
Hangzhou Wanwei Technology Co., Ltd. is mainly engaged in SDAN video & AIoT networking series, video transmission dedicated switch series, and video transmission dedicated WIFI wireless product series. It has industry-leading original SDAN core patented technology and video transmission jam optimization processing, etc. Technology, committed to the concept of decentralized visual & physical scene big data pool construction, speeding up the secure application of visual & physical data and the release of commercial value.
EMQ joins hands with Wanwei to truly achieve the construction goals of: full domain coverage, full network sharing, full-time availability, and full-process controllability.
AIoT builds a new Internet of Things
EMQ and Wanwei are committed to creating an “integration” of AI and IoT. EMQ opens up the front-end IoT data channel, and Wanwei builds video AI data channels and applications to jointly solve the edge heterogeneous data acquisition and collection of intelligence in the big data era. Low-latency and high-fault-tolerant network access, and the realization of data standard unification, so as to integrate various IoT sensors such as cameras, AI cameras, DVR, NVR, gates (people | vehicles), fire sensing devices, electronic fences, access control, etc. Video equipment realizes multi-dimensional data perception, collection, processing, application, presentation, prediction, etc.
"All-in-one" AIoT big data has natural attributes and technical thresholds in terms of capacity, timeliness, diversity, authenticity, and value. The binding of EMQ and Wanwei is bound to solve these problems better and more efficiently.
Capacity: The amount of data is a decisive factor in treating data sets as big data or traditional super-large data. The amount of data and video generated from social networking, smart transportation, smart communities, smart hospitals, etc. is huge. Yes, but whether it is concurrent data access or parallel operation of front-end equipment, IoT and AI video data are effectively carried.
Timeliness: The data generated by social networking and other networking is 7*24H real-time, supporting real-time IoT data collection and AI big data analysis in real-time, efficiency and availability.
Diversity: mainly for IoT (ten thousand heterogeneous heterogeneous IoT data collection), video and audio (ten thousand heterogeneous heterogeneous equipment data collection from different manufacturers), with different forms and types. Including structured, semi-structured and unstructured data, a variety of data types can be generated and collected through the Internet of Things.
Authenticity: Real-time collection of real data (IoT device status, real-time streaming, video streaming, etc.), real-time accurate analysis, to achieve live data, intelligent application purposes, this is particularly important, especially for all kinds of edge-collected sensory data Linkage and smart collision.
Value: The edge collects multi-source dimensional data, and through the edge gateway, big data is transformed into useful information and content (identified, regular, securely encrypted and available data can be checked), which brings competitive advantages to the organization.
solution
In the big data interconnection stage, it mainly realizes large-scale access capabilities, establishes a real-time collection of heterogeneous heterogeneous data systems at the edge, and builds data connection capabilities for the Internet of Things and AI interaction. EMQ & Wanwei launched the following three solutions to solve the problem of On the basis of the problem, individualized differences are formed, which are widely used in various industry scenarios such as government, education, smart communities, electric power, and industry.
Unified access platform features:
- Unified IoT data and video data access solution
- Compatible with mixed access of IoT devices from various manufacturers and video capture devices
- Data access and data processing solutions with cloud-side collaboration
- With rapid deployment and rapid docking capabilities, greatly accelerating application implementation
- Support national standard data standard access, support multi-level platform
Overall program capabilities and features:
- IoT device data access is provided by EMQ, and IoT is directly connected to the platform side EMQ
- Video data is provided by Wanwei, which is connected to the cloud video platform after being accessed by the video edge gateway
- The Internet of Things data is provided by EMQ to provide the northbound data interface, and the platform-side video data is provided by Wanwei Cloud Central Station.
- Unified management: The upper layer realizes the unified management of IoT devices and video equipment by a unified device management platform (which can be realized by a third-party integrator device management platform and a docking customer device management platform)
Solution 1: Unified access and integration at the platform layer
Program features:
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Platform-side rule linkage: realize the linkage between IoT device data and video data on the platform side through API and rule engine, providing richer business realization capabilities for the application layer
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IoT devices and video devices do not need to be integrated and linked at the edge
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Scenario: IoT devices are directly connected to cloud platforms via wireless/wired networks (outdoor IoT devices, NB-IoT devices)
Option 2: Unified access and integration at the platform layer
Program features:
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Rule linkage:
Edge: The rule engine in the EMQ IoT edge gateway is linked with the video access edge gateway through API calls. The IoT edge gateway and the video edge gateway network need to be connected
Cloud: Through API interaction, the EMQ rule engine realizes the linkage between IoT device data and video data
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The IoT device access edge gateway and the video access edge gateway need to be deployed separately
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Scenario: Buildings, indoors or regions are relatively concentrated, and the devices are connected to the Internet of Things devices with continuous power supply. The Internet of Things devices need to be reported to the platform after edge convergence
Option 3: Unified integration at the edge
Program features:
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Provide a unified IoT and video access edge gateway to realize unified access to the edge of IoT and video equipment
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IoT devices and video devices can be linked at the edge
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Scenario: Buildings, indoors or regions are relatively concentrated, and the devices are connected to the Internet of Things devices with continuous power supply. The Internet of Things devices need to be reported to the platform after edge convergence
to sum up
The overall realization of the intelligent prevention and control system without blind spots and full coverage of the unified network of perception IoT data and video stream data, and provides the integration of AIoT such as big data interconnection, pre-AI deployment and control, and post-identification applications, and generalizes data activation and compatibility , Provides a solid architecture system that perfectly matches the increasing demand trend of AIoT.
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Original link: https://www.emqx.io/cn/blog/emqx-aiot-solution