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A processing method for data fusion and intelligent search from multiple data sources

A data fusion and intelligent search technology, applied in the processing field of data fusion and intelligent search, can solve the problems of limited processing capacity, energy, communication bandwidth and storage capacity, excessive consumption of energy of sensor nodes, affecting network life, etc. Conflict and collision phenomenon, reduce network congestion, and improve the effect of utilization

Inactive Publication Date: 2019-04-30
SHANGHAI SHENTENG INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In wireless sensor networks, on the one hand, the data collected by a single sensor node has a very high similarity due to the data collected multiple times in a short period of time; on the other hand, the data collected by adjacent sensor nodes at similar times will also be similar With a high degree of similarity, the data collected by all sensor nodes are all transmitted to the sink node, which is not only meaningless, but also consumes too much energy of the sensor nodes and affects the life of the network. And the storage capacity is very limited. When the sensor nodes receive interference, the collected data will produce errors. It is obviously inappropriate to use each node to send the data to the sink node separately when collecting data.
At present, there is no general method for multi-sensor data fusion

Method used

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  • A processing method for data fusion and intelligent search from multiple data sources
  • A processing method for data fusion and intelligent search from multiple data sources
  • A processing method for data fusion and intelligent search from multiple data sources

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Embodiment 1

[0065] 1) Use the distribution map method to eliminate negligent errors

[0066] First, sort the N temperature monitoring results from small to large to obtain the measurement sequence:

[0067] x 1 , X 2 , X 3 ...X N

[0068] Define the median:

[0069]

[0070] upper quartile F μ for the interval [X M , X N ] median, lower quartile F l for the interval [X l , X M ], the interquartile dispersion is:

[0071] δF=F μ -F l

[0072] The data whose distance from the median is greater than βδF is regarded as singular data, that is, the judgment interval of invalid data is [ρ 1 , ρ 2 ],

[0073]

[0074]

[0075] β in the formula is a constant, and its size depends on the measurement accuracy of the system, which is related to the actual situation, and needs to be measured and corrected by field experiments.

[0076] (2) Divide the data after deleting the negligent error into two groups, and group them according to the principle that the adjacent sensors...

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Abstract

The invention relates to the sensor data processing technology field and particularly relates to a data fusion and intelligent searching processing method for multiple data sources, and an application. According to the method, sensors are arranged in a planar layout, the sensors are arranged on one same plane to form a sensing network, data fusion comprises data fusion through multiple same-type sensors and data fusion through multiple different-type sensors, data characteristics and data types of the sensors are acquired by employing a polling mode, redundancy processing on the data is carried out when acquisition is carried out by an acquisition node, and an self-adaptive algorithm based on batched estimation is employed. Through the method, the data of each sensor is dynamically acquired, the identification time of a system for the sensor data is prolonged, data precision is improved, data accuracy is improved, identification reliability of the system is improved, the method is suitable for occasions having a relatively large quantity of same-type sensors, relatively large data amount and same-type-sensor-in-one-same-plane layout, and data fusion in plantation environments and farmland climate monitoring multi-sensor environments can be realized through the method.

Description

[technical field] [0001] The invention relates to the technical field of sensor data processing, in particular to a processing method and application of data fusion and intelligent search from multiple data sources. [Background technique] [0002] The prototype of multi-sensor data fusion technology appeared at the end of World War II. In the sonar signal understanding system funded by the US Department of Defense in the 1970s, the concept of data fusion was formally proposed. Multi-sensing data fusion can comprehensively process and optimize the measurement data provided by various types of sensors in the system at the same time or at different times, in the same form or in different forms, to obtain the internal connections and laws between various data, and eliminate useless data. Combining the complementary or redundant data of multiple sensors in time and space according to certain criteria, and finally realizing the optimization of the data so that it can accurately r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/00H04W52/02H04W84/18
CPCG06F16/951H04W4/38H04W52/0219H04W84/18Y02D30/70
Inventor 姬江涛闵新力薛君志马伟华秦玉林张小坤张国军顾书林施俊士张余程洁羚周江张达宁
Owner SHANGHAI SHENTENG INFORMATION TECH CO LTD
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