High-performance generation base station for factory intellectualization

Abstract

The invention discloses a high-performance generation base station for factory intellectualization. The base station comprises a processor module, a power supply module, a communication module, an external interface, a buzzer module, an EEPROM module and an RGB three-color LED indicating lamp. The power supply module is connected with the power supply input of the processor module; the communication module, the external interface and the EEPROM module are connected with the processor module through data buses, the buzzer module and the RGB three-color LED indicating lamp are connected with theoutput of the processor module, the processor module is responsible for driving the above modules, and the processor module is responsible for data edge calculation. The processor module comprises anSTM32F103C8T6 enhanced processor, a peripheral crystal oscillator circuit, a filter circuit and related resistors used for setting, wherein the crystal oscillator circuit and the filter circuit are arranged on the periphery of the STM32F103C8T6 enhanced processor. The method has the advantages of having an edge calculation function and being low in energy consumption.

Description

technical field [0001] The invention relates to the improvement field of communication base stations, in particular to a high-performance generating base station for factory intelligence. Background technique [0002] With the development of industrial Internet of Things and big data technology, data has become more and more important for various fields. The current data push devices mainly include mobile phones or DTUs, and most of the data calculations rely on PC-side devices. The existing promotion plan is to use the mobile phone network to connect to the big data platform by developing a smart phone APP. During the process of obtaining data, the mobile phone APP must always run in the background of the smart device, and it needs to open most of the permissions of the smart device, and in this process Related APP threads in the app are easily killed by related cleaning software, which cannot meet the real-time requirements. Moreover, the push data network is mostly based...

AI Technical Summary

Problems solved by technology

The existing promotion plan is to use the mobile phone network to connect to the big data platform by developing a smart phone APP. During the process of obtaining data, the mobile phone APP must always run in the background of the smart device, and it needs to open most of the permissions of the smart device, and in this process The relevant APP threads in the middle are easily killed by relevant cleaning software, which cannot meet the real-time requirements

Moreover, the push data network is mostly based on 3G or 4G, and some factories and plants do not have 3G or 4G network coverage, and it is generally inconvenient for front-line personnel to hold mobile phones, or it is clearly required not to carry mobile phones while working;

[0003] The current data push box is mainly for data transparent transmission function, and there is no mechanism for data screening, comparison and data processing, which causes problems such as large and complicated data volume

Moreover, big data processing is mainly done by PC or embedded board based on LINUX platform. Using these devices has technical problems of high power consumption, poor real-time performance and high price.

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