Distributed environment Internet of Things information system

Abstract

The invention discloses a distributed environment Internet of Things information system, which is characterized by comprising a gateway layer, a route storage layer and an application layer, wherein the gateway layer is used for receiving and processing the transmitted data; the route storage layer is used for forwarding and storing the data received by the gateway layer; and the application layeris used for acquiring the data of the route storage layer. The cross-network-segment problem is solved, and the data forwarding cost caused by interconnection and intercommunication is reduced; public and private double deployment schemes are supported; deployment requirements of enterprise public network deployment and private operation are reduced; storage and broadcasting are separately deployed, and hardware resources are utilized to the maximum extent; the security problem of illegal data utilization is relieved through the authority authentication node; and a foundation of diversified external application support is established through the authority authentication node.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to a distributed information system based on the environmental internet of things. Background technique [0002] With the advancement of network technology, large-scale environmental monitoring becomes possible. Many equipment manufacturers, integrators, and software vendors have begun to engage in related work. In particular, the rise of cloud platforms and the Internet of Things in recent years has provided a good opportunity for the rapid development of this field. [0003] Distributed Internet of Things is an Internet-based technology that uses distributed networking to overcome practical business difficulties in environmental monitoring and complete the networking system of data integration-processing-publishing the entire process section. [0004] Among the existing schemes, the early schemes rely on a single network environment, and the networking limitatio...

AI Technical Summary

Problems solved by technology

[0007] 2. The system is complex:

[0013] 3. Complex application:

[0019] 4. The data ownership is unclear, the deployment plan is trapped, and the comprehensive cost remains high

[0021] The problem with platform-based services based on "cloud" is who owns the data generated by the instrumentation equipment; whether the instrumentation equipment is purchased or leased by the enterprise; currently there is no statement on all aspects

[0022] The self-built system of the enterprise can generally solve the above-mentioned problems existing in the "cloud" platform service, but it still cannot completely block the reality of data spreading through various technical channels

Moreover, the cost of building a self-built system is very high. In addition to the initial software and hardware costs, the enterprise also has to set up IT staffing that is not related to the industry, and the cost increases significantly.

[0023] The advantage of using the cloud platform is that the cost is relatively low. In reality, the dilemma lies in the fact that enterprises believe that they must pay not only for equipment, but also for data. After the data enters the cloud platform, it is actually impossible to control the use of the data by the platform for other purposes.

[0024] 5. The overall effect of deep data mining is hindered and progress is delayed

[0025] Due to the separation of the blocks, the data is in a split state, and the conditions for overall utilization are not available. Deep data mining to find out the technological progress that is conducive to the improvement of instrument production and corporate public welfare is restricted.

Images