Multi-sensor target identification algorithm for insect counting
A multi-sensor, target recognition technology, applied in the field of multi-sensor target recognition algorithms, can solve problems such as poor applicability, large environmental interference, and insufficient stability, and achieve the effect of good stability and high accuracy
Inactive Publication Date: 2015-07-15
北京中科通视科技有限公司
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Problems solved by technology
For this algorithm, it usually needs to cooperate with the equipment placed in the wild, which is greatly disturbed by the environment, so it needs to adapt to different situations. At present, all possible related algorithms have poor applicability and are not stable enough
There is no reliable algorithmic way to eliminate environmental disturbances, vibration effects, and insects' repeated entry and exit behaviors
Method used
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[0036] Such as figure 1 As shown, a multi-sensor target recognition algorithm for insect counting is characterized by: collecting analog voltage values output by multiple groups of sensors through the embedded system AD, and using PWM modulated pulse signals with a certain duty cycle, Dynamically compare multiple sensors within one second to collect all sensor data, and then determine whether there is a worm passing; the specific steps are as follows:
[0037] A. Select working mode: turn on the device and enter the working interface; select the desired working mode;
[0038] B. Data storage: save the data in the selected working mode and start to enter the working mode;
[0039] C. Determine whether the calculated timing time is up: If the calculated timing time is up, it will enter the next work link; if the calculated timing time is not up, it will return to the database and recalculate the timing time;
[0040] D. Counting recognition mode: when the counting time is up, it ente...
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The invention discloses a multi-sensor target identification algorithm for insect counting. The multi-sensor target identification algorithm is mainly combined with various kinds of portable equipment for artificially entrapping insects in the prior art, and multiple-path infrared sensors in equidistributed arrangement are used for forming a monitoring sensor array so as to monitor the number of the insects entering an entrapper. The algorithm uses a series of methods, self adaptive dynamic regulation filtering, pre-judged and identified multi-link determination, multi-sensor data fusion target identification, an evaluation method for introducing PWM waves which are combined with sensors and equipment in external connection environment data in a dynamic modulation manner, and the like. The algorithm has lower requirements for hardware devices, and under the situation that small resources are occupied and used, accurately counting the target insects is completed. The algorithm is high in accuracy, is good in stability, considers interference brought under various situations, and has the function of interference resistance.
Description
Technical field [0001] The invention specifically relates to a multi-sensor target recognition algorithm for insect counting. Background technique [0002] Information agriculture is an advanced stage of the development of agricultural informatization. From the perspective of agricultural development, intelligence, precision, digitization and automation are the inevitable trends of agricultural development in the future. The digitization and automation of agricultural pest prediction and forecasting is the only way for the development of science and technology in the field of plant protection. Starting from the 1990s abroad, certain explorations have been carried out in this area. Since the 21st century, domestic scientific research has also been carried out in related fields. With the development of technology, a series of traditional methods such as insect traps, sweet and sour liquid, and sex attractants have been produced. But to this day, traditional methods have graduall...
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Inventor 李学恩石晶赵旭东韩伟娟
Owner 北京中科通视科技有限公司