Integrating Industrial Appliances for Security Enhancement in Data Point Using SCADA Networks with Learning Algorithm
Algorithm 1
Reinforcement Learning Algorithm.
Input: Initialize the primary energy source with disturbance factor and downcast time periods , and state representation values using matrix representation of individual appliances ;
Output: Optimized values for automation of appliances in industrial process using learning model at reduced policy rate and good control rate;
Step 1: At first, the objective function is constructed with the loss factor using ;
Step 2: Initialize the frequency of operating appliances with appliance disturbance time that must be followed by certain improvements in policy factor with , and its individual determination with the indication of full scale capacity values;
Step 3: While do.
Provide the loss values in both presence and absence of full scale appliances in a systematic way for computing the total loss in automation process by using equation (3);
Verify the energy loss values in both previous and current state using distance vector separation for identifying the critical changes;
If the critical distance changes are higher, is not at ;
Modify the transmission appliance values using life period of a particular appliance that is having different energy rates using equations (4) and (5), with into N number of unoccupied energy states;
//Delay phase
Update the delay values with random measurement function by generating the weight function using supplied energy as shown in equation (6);
//Data control phase
Select the control and rapidity scale matrix with changes in time periods as defined in equation (7);
Update the control function state variables using equation (11) with probability values of corresponding state vectors followed by the data segment values and compute the new secured data position as defined in equation (10);
The improvements in policy segments in separate areas are updated by using equation (9);
;
End;
Step 4: If then
;//Interchange the existing solution in the current loop with the new solution;
End if;
Step 5: If then
Reinitialize the appliance values with new segments;
Obtain the overall best solution;
End if;
Step 6: If //Existing solution is replaced with the new solution
;
;//Attain the most feasible solutions for determining the overall best solution;
