Perceptual neuron convergence device

Abstract

The invention discloses perception neuron convergence equipment, and relates to the technical field of big data processing. The sensing neuron convergence equipment comprises a sensing neuron processing scheduler, a hard disk video recorder, a two-way router, a digital quantity acquisition module, an analog quantity acquisition module, a switching value acquisition module, a UPS (Uninterrupted Power Supply) and an equipment storage box, the sensing neuron processing scheduler is arranged above the hard disk video recorder, and the two-way router is arranged below the hard disk video recorder; the digital quantity acquisition module is fixedly arranged above the analog quantity acquisition module, and the switching value acquisition module is arranged above the UPS. After the technical scheme is adopted, the system has the beneficial effects that the system is reasonable in structural design, has compatibility, supports access of various types of internet of things protocols, adopts a machine learning algorithm to optimize the acquisition efficiency, supports remote instruction management, can effectively ensure the operation environment of the internet of things through operation management and control, and reduces the operation and maintenance cost of various sensing devices.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a perceptual neuron aggregation device. Background technique [0002] With the rapid development of the smart Internet of Things, more and more IoT sensing devices are being widely used and popularized. At the same time, the types of sensing devices are diversified, specialized and sophisticated. Disposal and storage have brought certain difficulties, and the dynamic supervision of these sensing devices is time-consuming and labor-intensive, and there is a lack of unified norms and effective means. At present, the existing IoT acquisition devices on the market have the following shortcomings: 1. Lack of multi-protocol compatibility; 2. Incompatibility with both digital and analog sensors; 3. Poor reliability in complex environments; 4. Lack of operation management and control functions; 5. Lack of Intelligent analysis and decision-making. SUMMARY OF THE INVENTION ...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the smart Internet of Things, more and more IoT sensing devices are being used and popularized in large quantities. At the same time, the types of sensing devices are diversified, specialized and sophisticated. Disposal and storage have brought certain difficulties, and the dynamic supervision of these sensing devices is time-consuming and labor-intensive, lacking unified norms and effective means

At present, the existing IoT acquisition devices on the market have the following deficiencies: 1. Lack of multi-protocol compatibility; 2. Incompatibility with digital and analog sensors; 3. Poor reliability in complex environments; 4. Lack of operation control functions; 5. Lack of Intelligent analysis and decision-making

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