Detection device based on multiple sensors
A detection device and sensor technology, applied in measuring devices, instruments, food testing, etc., can solve the problems of difficult and accurate quantitative detection, time-consuming, excessive pesticide residues, etc., to eliminate data duplication and errors, simple operation, and easy to carry Effect
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Embodiment 1
[0035] Such as figure 1 , the present invention is a detection device based on multiple sensors, including a detection module, a data processing module and an analysis module; the detection module includes an organophosphorus detection module, a carbamate detection module, an organochlorine detection module and a pyrethroid detection module; the detection module is connected to the analysis module through the data processing module.
[0036] The invention is a detection device based on multiple sensors. Both the organophosphorus detection module and the carbamate detection module adopt acetylcholinesterase sensors.
Embodiment 2
[0038] Compared with Embodiment 1, this embodiment has increased technical features, which is the preparation method of the acetylcholinesterase sensor: the glassy carbon electrodes are polished on the polishing cloth with alumina powder respectively, cleaned with a large amount of twice distilled water, and the Move the glassy carbon electrode into an ultrasonic cleaner, wash it with double distilled water and absolute ethanol in sequence, and dry it; take the carboxylated multi-walled carbon nanotube solution and apply it to the surface of the treated glassy carbon electrode, and then add acetylcholinesterase , dried naturally, and then dripped with polysaccharide solution.
[0039] The invention is a detection device based on multiple sensors, and the organochlorine detection module adopts a ferrous amide silver film sensor.
[0040] The present invention is a detection device based on various sensors, and the preparation method of the ferrous silver amide film is as follow...
Embodiment 3
[0044] Compared with Embodiments 1 and 2, this embodiment also discloses that the data module also includes a data fusion unit, and its data fusion method includes the following steps:
[0045] Step 1: Send the data collected by the acetylcholinesterase sensor, the silver ferrous ammonia film sensor and the cell sensor to the data processing module, initialize the collected data to obtain the sensor support matrix, and construct the n+1 dimension between the sensors at K time Support matrix T n+1 (k);
[0046] Step 2: Calculate the n+1-dimensional support matrix T n+1 The eigenvalue λ and eigenvector a of (k) i (k);
[0047] Step 3: Normalize the weighted coefficients to get: weighted coefficients
[0048] Step 4: According to the weighting coefficient formula, the estimated value of multi-sensor fusion at time K can be obtained as:
[0049] y k = Σ i = 1 ...
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