Data processing device and data processing method

Abstract

The embodiment of the invention discloses a data processing device, which is used for a shape space, wherein the shape space comprises a plurality of micro spaces; each micro space corresponds to a coverage space of one access point on a plurality of node lines; the shape space is divided into a plurality of sub spaces; the data processing device comprises a region obtaining unit, a region judging unit, a time judging unit and a terminal counting unit, wherein the region obtaining unit is used for obtaining the located sub space of a terminal according to the location information of the terminal; the region judging unit is used for judging whether the located sub space of the terminal is a preset legal sub space of the terminal or not; if the located sub space of the terminal is not the preset legal sub space of the terminal, a cross-region warning signal is generated; the time judging unit is used for obtaining the remaining time of the terminal in the first sub space; if the remaining time of the terminal in the first sub space exceeds a first threshold, a timeout warning signal is generated; the terminal counting unit is used for obtaining the terminal number in a second sub space; and if the terminal number in the second sub space is greater than a second threshold, an overcrowding warning signal is generated. The data processing device has the advantage that the security performance can be improved.

Description

technical field [0001] The invention relates to the communication field, in particular to a data processing device and a data processing method. Background technique [0002] With the development of society, the demand for data processing services is increasing. Data collection and data processing services are the basis of a variety of applications, such as terminal positioning, user demand analysis, logistics management, emergency rescue, monitoring, and crime tracking, all of which require the support of data collection and data processing services. [0003] Existing data collection methods are most commonly used to collect data through base stations. The disadvantage of collecting data through the base station is that the data must be collected within the coverage of the base station signal. For confined spaces, especially underground spaces such as mines, base stations cannot receive and transmit signals, so data cannot be collected. At present, the communication equi...

AI Technical Summary

Problems solved by technology

For confined spaces, especially underground spaces, such as mines, base stations cannot receive and send signals, so data cannot be collected

At present, the communication equipment used by most domestic mining industries is still relatively simple, the communication technology means are relatively backward, the reliability is poor, the maintenance cost is high, and the business is limited to the type of voice communication

Security cannot be guaranteed in confined spaces, especially mines, as there is no reliable way to process data in confined spaces

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