Monitoring and controlling processor based on wireless network low-power level signal and processing method

Abstract

The invention belongs to a monitoring processor used to extract a useful signal from high noise by being matched with a wireless router and so on in the remote monitoring and processing technique of a wireless network and a processing method thereof. The processor comprises a CPU, a communication module, a program read-write port module, a parallel communication module, an analog-digital conversion module, a constant current source module, a voltage transformation circuit, a signal filter and high voltage protection circuit, a signal amplifying module, a current signal adjusting circuit, a memory and a keyboard input circuit; and the method comprises: after the communication module receives a signal, firstly the threshold filtration of noise is performed, and the wavelet transformation processing of the signal is performed in the wavelet field through the CPU so as to reduce or completely eliminate the noise. Therefore, the processor and the method have the characteristics that the processor and the method can effectively extract the useful signal from a great amount of disorder noise signals, and automatically send the useful signal to a device such as a platform terminal and the like, and the point-to-point and one-to-many communications are realized; and the invention also provides a convenient and reliable method for mobile office work by utilizing the prior GSM network.

Description

technical field [0001] The invention belongs to wireless network remote monitoring, control and processing technology. In particular, a monitor and control processor and a processing method thereof that can be matched with a wireless router (wireless transceiver) for extracting useful signals from strong noise. The processor can be used to automatically extract data signals such as hydrological data, industrial data, important notices, and alarm information from random strong noise and send them to devices (equipment) such as control platform terminals for subsequent processing. Background technique [0002] In the remote collection and monitoring of information such as hydrological data, working data, important notices, and alarm information through wireless networks, as well as in intelligent meter reading systems, centralized monitoring of cash transport vehicles, and centralized monitoring of car fleets, due to the environment There is a lot of noise interference in the...

AI Technical Summary

Problems solved by technology

Since there are two types of interference signals, differential mode and common mode, the filter is required to attenuate both types of interference signals; while active filters are expensive and have small capacity, and the performance of weak signal detection and processing is mainly limited by With the development of chip technology, the final detection speed and accuracy are almost completely controlled by the hardware level

In addition, this type of filter can only filter interference signals of a certain frequency (relatively fixed frequency), so the attenuation (filtering) function of stray random signals generated in the noise field is extremely poor

Therefore, the above-mentioned background technology has active filters with high price and small capacity, poor detection and reproduction of weak useful signals and attenuation and filtering of stray random signals, narrow application range, and dependence on hardware levels such as chips Large, high cost of use, difficult to achieve mobile office and field office and other defects

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