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Industry the Internet of things, big data technology selection?

Time:10-19

1, 1000 points were the main industrial sensor, a second sampling rate of 20 k, once every 10 seconds to upload, about 2 m or so every packet data, using the MQTT protocol to upload, are some bytes of data packets, according to the package to save,
2, per upload a few data of sensor and is used for real time display in the web interface, data also needs to be saved,
3, upload the data needs to be saved 8 years, later, you can read some data package, matlab to the data analysis of the algorithm, matlab generated jar package, you can use Java calls, the result of analysis in the web page display, mainly for internal use, users about hundreds of
4, the use of Java technology, the background spring boot front desk vue, elementUI, every

Now
1, MQTT with emq
2, the background spring boot + jpa (due to the business enterprise inside, not micro service)


Sensor, please so many data storage using technology more appropriate? Can meet the requirements of storage and query, still can and technical collection now better solutions?
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