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Self-adaptive data collaborative acquisition method and system

A data collaborative and adaptive technology, applied in transmission systems, closed-circuit television systems, TV system components, etc., can solve problems such as lack of collaboration between devices, comprehensiveness and accuracy of information perception, and inability to collect data. Achieve the effect of avoiding excessive and unnecessary information interaction, reducing repeated collection and excessive collection, and facilitating data analysis and processing

Active Publication Date: 2020-07-24
JIANGXI MINXUAN INTELLIGENT SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) In specific scenarios such as emergency command or target deployment and control, due to the lack of cooperation between devices, data collection cannot be performed from different spatial angles and different time periods, and the comprehensiveness and accuracy of information perception are greatly reduced
[0007] (3) When the equipment is offline or fails, if there is no other equipment assistance, it will lead to the omission of information in a specific period of time, which is not conducive to information analysis and target tracking
[0008] (4) In scenarios such as environmental monitoring, the linkage between high-consumable equipment (such as chemical reagent monitoring) and low-consumable equipment (such as video surveillance equipment) is insufficient, resulting in continuous operation of high-consumable equipment and increased monitoring costs
[0009] In addition, the disorder of data collection reduces the validity and quality of data, making the lack of correlation between data, which brings difficulties to subsequent data analysis

Method used

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  • Self-adaptive data collaborative acquisition method and system
  • Self-adaptive data collaborative acquisition method and system
  • Self-adaptive data collaborative acquisition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 2 and 3 The shown adaptive data collaborative collection method includes five steps of collection cluster construction, collection scene perception, collection mode formulation, automatic equipment configuration, and data collaborative collection.

[0041] Step 1: Build a collection cluster

[0042] Start the data collection device, load and run the collaborative collection executor, and search for the collaborative collection center controller. Networking mode, negotiate to determine a data collection device as the collaborative collection center controller; if the collaborative collection center controller exists, register the relevant parameters of this data collection with it, including but not limited to collection type, collection time, device location, elevation, etc. Perspective, after the registration is successful, the collaborative collection executor sends a handshake signal to the collaborative collection center controller at regular inter...

Embodiment 2

[0058] A perimeter defense system is built around the park, cameras and other video surveillance equipment are built at the entrances and exits of the park and checkpoints, WiFi probes (electric fence equipment) are built on the main roads of the park, and intelligent access control systems are built for each building. Under the existing independent data collection method, a large amount of information is collected repeatedly and disorderly, and there is no correlation between information. Especially after specific events such as the entry of illegal / suspicious targets, there is a lack of linkage between devices, and relevant information cannot be collected comprehensively and accurately, which brings difficulties to later verification.

[0059] In this case, according to the needs of the scene, such as Figure 4 , Automatically switch independent data collection to collaborative data collection, through the mutual cooperation of video surveillance equipment, WiFi probes, acce...

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Abstract

The invention discloses a self-adaptive data collaborative acquisition method and a self-adaptive data collaborative acquisition system. The method comprises five steps of acquisition cluster construction, acquisition scene perception, acquisition mode formulation, equipment automatic configuration and data collaborative acquisition. The problems of disordered acquisition, repeated acquisition, high-cost acquisition and the like of current data acquisition can be solved; scene intelligent perception and scene classification are collected to determine corresponding acquisition modes, the data acquisition anti-interference capability under a severe condition is improved; data acquisition operation requirements, hardware resource conditions and environments are combined; typical modes such asan anti-interference mode, a fault triggering mode, a target tracking mode and a cost sensitive mode are dynamically supported; through information interaction between a cooperative data acquisitioncontroller and an actuator, division cooperation between the data acquisition devices is realized, the orderliness of data acquisition is improved, a receiver of cooperative information between the devices can be calculated based on the Euclidean space distance and the like, the cooperative information is ensured to be transmitted in a proper range, and excessive and unnecessary information interaction is avoided.

Description

technical field [0001] The invention belongs to the technical field of big data collection and processing, and in particular relates to an adaptive data collaborative collection method and system. Background technique [0002] In recent years, with the continuous advancement of urban informatization and the continuous development of Internet of Things, big data and artificial intelligence technologies, various temperature and humidity sensors, smoke alarm sensors, video surveillance equipment, and face recognition equipment have become popular. Through ubiquitous collection, aggregation and sharing, mining analysis and in-depth application of massive data, it provides strong technical support for the intelligentization of smart communities, smart parks and other important industries in smart cities, and also brings new problems and challenges to the industry. [0003] As the premise of data processing and application, data acquisition has always been a hot spot of concern an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04N7/18H04N5/232H04W24/08
CPCH04L67/12H04N7/181H04W24/08H04N23/611Y02P90/02
Inventor 邱吉刚李淑琴晏丽娟肖勇
Owner JIANGXI MINXUAN INTELLIGENT SCI & TECH