Water gas oil pressure sensor NPT1/8 pressure transmitter 5V
Details
Marketing Type:Hot Product 2019
Place of Origin:Zhejiang, China
Brand Name:FLYING BULL
Warranty:1 Year
Part No:200psi
Type:pressure sensor
Quality:High-Quality
After-sales Service Provided:Online Support
Packing:Neutral Packing
Delivery time:5-15 Days
Product introduction
Multi-sensor information fusion (MSIF) is an information processing process that uses computer technology to automatically analyze and synthesize information and data from multi-sensors or multi-sources under certain criteria to complete the required decisions and estimates.
1.The basic principle of multi-sensor information fusion technology is just like the process of human brain's comprehensive processing of information, which complements and optimizes the information of various sensors in multi-level and multi-space, and finally produces a consistent explanation of the observation environment. In this process, we should make full use of multi-source data for rational control and use, and the ultimate goal of information fusion is to derive more useful information through multi-level and multi-faceted combination of information based on the separated observation information obtained by each sensor. This not only takes advantage of the cooperative operation of multiple sensors, but also comprehensively processes the data from other information sources to improve the intelligence of the whole sensor system.
2.Multi-sensor information fusion technology is a comprehensive information processing technology using computers, which is of great significance in modern information history. It can not only process diversified information quickly, but also shorten information processing time, improve information analysis efficiency and reduce information collection cost. There are four main characteristics: redundancy, complementarity, timeliness and low cost.
3.Redundancy of information: For a certain feature of the environment, multiple pieces of information can be obtained through multiple sensors (or multiple different moments of a single sensor), which are redundant and have different reliability. Through fusion processing, more accurate and reliable information can be extracted from it. In addition, the redundancy of information can improve the stability of the system, thus avoiding the impact on the whole system caused by the failure of a single sensor.