A baling machine energy consumption model and energy saving control strategy optimization system

Abstract

The present application relates to program control system technical field, specifically relates to a kind of bundling machine energy consumption model and energy-saving control strategy optimization system, comprising: the difference of the actual acceleration of motor of current bundling process and theoretical acceleration is determined, to modify the basic energy consumption evaluation of current bundling process, obtain the modified energy consumption evaluation of current bundling process;Based on the influence of the energy consumption of historical bundling process on current bundling process, the total accumulated energy consumption evaluation of current bundling process is determined;According to the total accumulated energy consumption evaluation and the modified energy consumption evaluation of current bundling process, and the modified energy consumption evaluation of adjacent next bundling process, the time length distribution weight of current bundling process is determined;According to time length distribution weight, realize the reasonable and accurate distribution of standby time length between current bundling process and its adjacent next bundling process, reduce the degree of energy consumption loss, while guaranteeing tact, realize energy consumption optimum.

Claims

1. An energy-saving control strategy optimization system for a strapping machine energy consumption model, characterized in that, The system includes the following modules: The first processing module is used to determine the difference between the actual acceleration and the theoretical acceleration of the motor during the current strapping process, so as to correct the basic energy consumption evaluation of the current strapping process and obtain the corrected energy consumption evaluation of the current strapping process. The second processing module is used to determine the total accumulated energy consumption evaluation of the current strapping process based on the impact of the energy consumption of the historical strapping process on the current strapping process. The weight allocation module is used to determine the duration allocation weight of the current strapping process based on the total accumulated energy consumption evaluation and the corrected energy consumption evaluation of the current strapping process, and the corrected energy consumption evaluation of the adjacent next strapping process. This includes: obtaining a first duration allocation importance for the current strapping process from the total accumulated energy consumption evaluation and the corrected energy consumption evaluation of the current strapping process; obtaining a second duration allocation importance for the next strapping process from the corrected energy consumption evaluation of the adjacent next strapping process; and obtaining the duration allocation weight of the current strapping process based on the relationship between the first duration allocation importance and the second duration allocation importance. The duration allocation module is used to allocate the standby duration between the current binding process and its adjacent next binding process according to the duration allocation weight, including: multiplying the duration allocation weight by the standby duration to obtain the end smoothing duration after the current binding process is completed; and using the difference between the standby duration and the end smoothing duration as the start smoothing duration of the next binding process.

2. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 1, characterized in that, The process of obtaining the basic energy consumption assessment includes: Based on the tape release time and preset acceleration during the tape release phase of the current strapping process, the first energy consumption evaluation index for the tape release phase is obtained. Based on the tensioning duration and preset acceleration during the current binding process, a second energy consumption evaluation index for the tensioning stage is obtained. By integrating the first energy consumption evaluation index and the second energy consumption evaluation index, the basic energy consumption evaluation of the current binding process is obtained.

3. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 1, characterized in that, The process of obtaining the revised energy consumption assessment includes: By combining the theoretical acceleration of the current strapping process with the difference between the actual motor acceleration at various moments during the tape release and tensioning stages of the current strapping process, the loss coefficient of the current strapping process is obtained. The correction coefficient is obtained based on the loss coefficients of the previous several historical binding processes adjacent to the current binding process; The basic energy consumption evaluation of the current binding process is corrected by the correction coefficient to obtain the corrected energy consumption evaluation of the current binding process.

4. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 3, characterized in that, The process of obtaining the loss coefficient includes: Calculate the difference between the theoretical acceleration of the current strapping process and the actual acceleration of the motor at each moment during the tape release and tensioning phases of the current strapping process to obtain the instantaneous difference in acceleration at each moment; Integrate the instantaneous differences in acceleration at each moment, and obtain the loss coefficient of the current binding process from the integration result.

5. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 4, characterized in that, The process of obtaining the correction coefficient includes: Calculate the average value of the loss coefficients from the previous several historical binding processes, and obtain the correction coefficient from the average value; the correction coefficient is inversely correlated with the average value.

6. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 1, characterized in that, The process of obtaining the total accumulated energy consumption assessment includes: Based on the relationship between the current bundling process and the modified energy consumption evaluation of its adjacent previous bundling process, determine the cumulative impact index of the previous bundling process on the current bundling process. Based on the aforementioned cumulative impact indicators, the total cumulative energy consumption evaluation of the current binding process is obtained.

7. The energy-saving control strategy optimization system for a strapping machine energy consumption model as described in claim 6, characterized in that, The process of obtaining the accumulated impact indicator includes: The difference between the corrected energy consumption evaluation of the previous binding process adjacent to the current binding process and the current binding process is calculated, and the accumulated impact index is obtained from the difference; the accumulated impact index is positively correlated with the difference.

8. An energy consumption model for a strapping machine, characterized in that, The model includes a data processor and a memory, the memory storing a computer program, and the data processor executing the computer program in the memory to implement a module in the energy-saving control strategy optimization system of the strapping machine energy consumption model according to any one of claims 1-7.

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