Abstract
This study presents a method for food safety testing based on multi-sensor data fusion, mainly to deal with food safety testing to detect the most common substances, these materials include: formaldehyde, heavy metals lead and cadmium and organ phosphorus and carbamate pesticides. Because it is more sensors, so the detection system will generate a lot of signals. Limited ability of the sensor output signals, these signals are often relatively weak and because the system will be applied to on-site testing and site environment is complex signal is easily influenced by many factors. System design related circuit, using a variety of chips, purify and amplify the signal processing of analog to digital conversion. The final article, but also on data fusion technology relevant circumstances were introduced to the relevant algorithm analysis shows. The experiment data shows that the system has a wide detection range and the configuration is simple with low detection cost which shows the method prompted can meet the engineering requirements of food safety detection.
Highlights
Today's economy has improved continuously, people paid more attention to food safety issues
There will be some problems in accordance with the previous detection methods, such as: the detection accuracy of some detection methods is high, but the detection rate is relatively slow, you need to wait a long time to arrive at a final test results, affecting the efficiency; some detection speed detection method is relatively fast, in a short time will be able to draw the final test data, but its detection accuracy and sometimes they cannot protect
Some detection methods cannot achieve food security field testing, the test results will be the scene of instability, as well as field data cannot be saved, etc., cannot meet the needs of the industry-site rapid testing; detection technology, while others can collect large amounts of data in the field, due to weak data analysis algorithms are more complex to timely data analysis and comparison, the same cannot meet the needs of field testing; detection technology, while able to solve the problem, but the cost is too high to detect only in similar laboratories and other environments, applications cannot achieve a large area is not conducive to the promotion of advanced technologies
Summary
Today's economy has improved continuously, people paid more attention to food safety issues. Some detection methods cannot achieve food security field testing, the test results will be the scene of instability, as well as field data cannot be saved, etc., cannot meet the needs of the industry-site rapid testing; detection technology, while others can collect large amounts of data in the field, due to weak data analysis algorithms are more complex to timely data analysis and comparison, the same cannot meet the needs of field testing; detection technology, while able to solve the problem, but the cost is too high to detect only in similar laboratories and other environments, applications cannot achieve a large area is not conducive to the promotion of advanced technologies. These problems are greatly limits the rapid development of the food industry, the prospects for the development of the food industry has a greater impact, making the food industry to promote economic development has limitations (Elmoudi and Chakhar, 2005)
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