Variable pesticide spraying system and control method thereof
A variable and control system technology, applied in the field of variable spraying system and its control, can solve the problems of affecting the spray effect and reducing the service life of the solenoid valve, and achieve the effects of saving manpower and material resources, improving safety and high precision
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Embodiment 1
[0040] Such as figure 1 As shown, a variable spraying system includes a spraying device, an image acquisition and processing system, a variable spraying control system, a monitoring system and a power supply system 27;
[0041] The spraying device is installed on the spraying test bench, including a medicine box 1, a spraying pipeline, a filter 3, a medicine pump 4, a pressure gauge 5, a safety valve 6, a distributor 10, a solenoid valve 11 and a nozzle 12; The medicine box 1 is placed on the ceiling, and the medicine box is connected to the spraying pipeline and the return pipeline. The medicine box 1 is connected to the medicine pump 4 through the filter 3. The water outlet of the medicine pump 4 is divided into two ways, and one way passes through The pressure gauge 5 and the safety valve 6 flow back to the medicine box 1, and the other way is injected into one end of the spraying pipeline, and the other end of the spraying pipeline is connected with the distributor 10, and...
Embodiment 2
[0052] A variable spraying control method, the specific steps are as follows:
[0053] Step 1: Set the PID parameter (Kp, Ki, Kd) population in the variable spraying control system (PID parameter population means a group of individuals, each individual is a set of parameter values (Kp, Ki, Kd)), Kp is The proportional coefficient, Ki is the integral coefficient, Kd is the differential coefficient, and the initial population is randomly generated. The population size M (the size of the population is usually between 10-50, depending on the actual optimization effect of the actual problem) is set to 30, and the maximum evolution The algebra T is set to 100, and the value ranges of Kp, Ki, and Kd are respectively set to [0,100], [0,20], [0,5];
[0054] Step 2: According to the decision-making information of the image acquisition and processing system, input the decision spraying amount in the variable spraying control system;
[0055] Step 3: Construct the fitness function F ac...
Embodiment 3
[0067] A variable spraying control method, the specific steps are as follows:
[0068] Step 1: Randomly generate PID parameter initialization population, population size M=30, namely [Kp, Ki, Kd]=[58.6804, 15.8944, 2.6784; 86.8328, 8.3480, 3.1281; 53.5777, 3.7928, 4.0420; 46.9795,10.1466,1.2366;44.6921,1.7009,3.9687;60.8798,6.2561,2.0723;7.5660,7.1945,0.1222;31.7595,10.7722,1.4272;80.2346,4.9658,2.5660;42.1408,13.1769,1.8719;57.5367,6.7253,4.6921;46.0997, 8.6217,0.8798;24.1935,19.6481,0.2933;78.9150,8.9932,4.0371;27.5367,15.5425,3.8465;53.6657,1.3490,1.4027;51.9062,5.9238,2.4731;19.0909,10.8504,1.4956;29.0323,12.5318,4.6432;42.1408,17.1848, 1.1193;28.9443,4.8876,3.5533;17.7713,8.3871,0.2688;64.6628,12.9423,4.0909;19.4428,10.4985,2.1261;66.7742,6.4712,0.1955;26.7449,4.4184,1.6471;89.0323,16.0899,3.6755;27.4487,13.9198,4.7898; 77.9472, 15.4839, 2.7468], set the maximum evolution algebra T = 100;
[0069] Step 2: According to the decision-making information of the image acquisi...
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