CN-121998397-A - Tobacco shredding control evaluation method, device, equipment and storage medium

CN121998397ACN 121998397 ACN121998397 ACN 121998397ACN-121998397-A

Abstract

The embodiment of the invention discloses a tobacco shred making control evaluation method, a device, equipment and a storage medium, wherein the method comprises the steps of obtaining dynamic process parameter data of target shred making control equipment, splitting the dynamic process parameter data into adjusting stage parameter data and operating stage parameter data, determining adjusting deviation parameters based on the adjusting stage parameter data and operating deviation parameters based on the operating stage parameter data, determining a control steady state evaluation score based on the adjusting deviation parameters and the operating deviation parameters, and taking the control steady state evaluation score as a processing capacity evaluation result of the target shred making control equipment. The technical scheme of the embodiment of the invention solves the problems that the existing index steady state evaluation technology only aims at the steady operation stage to control steady state evaluation and the evaluation system is imperfect, and can perform fusion analysis of the adjustment stage and the operation stage on the process parameter data, further perfects the wire making control evaluation system and improves the accuracy of the wire making control evaluation.

Inventors

WANG GUANGHUI
DONG WEI
LI QIANG
GAN ZIQING
ZHANG CHENG
Zhuang Shang
HU CHANGTING

Assignees

江苏中烟工业有限责任公司

Dates

Publication Date: 20260508
Application Date: 20260120

Claims (10)

1. A tobacco shred control and evaluation method is characterized by comprising the following steps: acquiring dynamic process parameter data of target wire making control equipment, and splitting the dynamic process parameter data into adjusting stage parameter data and operating stage parameter data; determining an adjustment deviation parameter based on the adjustment phase parameter data and determining an operational deviation parameter based on the operational phase parameter data; and determining a control steady-state evaluation score based on the adjustment deviation parameter and the operation deviation parameter, and taking the control steady-state evaluation score as a processing capacity evaluation result of the target wire-making control equipment.
2. The method of claim 1, wherein said splitting the dynamic process parameter data into conditioning phase parameter data and operating phase parameter data comprises: Taking a time point corresponding to a peak point of the process parameter exceeding a target process threshold in the dynamic process parameter data as an adjustment ending time point; and taking the data from the adjustment starting time point to the adjustment ending time point in the dynamic process parameter data as the adjustment stage parameter data, and taking the data in other time periods as the operation stage parameter data.
3. The method of claim 1, wherein the determining an adjustment bias parameter based on the adjustment phase parameter data comprises: Acquiring reference parameter dynamic data corresponding to the adjustment stage parameter data, and determining an adjustment accumulated deviation value based on the reference parameter dynamic data and the adjustment stage parameter data; Determining actual adjusting time based on the adjusting stage parameter data, and determining an adjusting time deviation value based on the actual adjusting time and a preset adjusting time; and taking the adjustment accumulated deviation value and the adjustment time deviation value as the adjustment deviation parameters.
4. A method according to claim 3, wherein said determining an adjustment accumulated offset value based on said reference parameter dynamic data and said adjustment phase parameter data comprises: For each adjustment phase data value in the adjustment phase parameter data, determining a reference data value corresponding to the adjustment phase data value from the adjustment phase parameter data, and taking the difference between the adjustment phase data value and the reference data value as an adjustment data point difference; And squaring and then adding the adjustment data point differences corresponding to all the adjustment stage data values, and obtaining the adjustment accumulated deviation value by taking the square root of the ratio of the sum value to the adjustment data point quantity.
5. A method according to claim 3, wherein said determining an operational deviation parameter based on said operational phase parameter data comprises: determining a historical process parameter mean value based on the operation stage parameter data, and taking a difference value between the historical process parameter mean value and a preset mean value threshold value as an operation mean value deviation value; Determining an actual operation deviation value based on the operation stage parameter data and a target process threshold value, and determining a dynamic operation deviation value based on the actual operation deviation value and a preset deviation threshold value; and taking the running mean deviation value and the dynamic running deviation value as the running deviation parameters.
6. The method of claim 5, wherein the determining a control steady state evaluation score based on the adjustment bias parameter and the operating bias parameter comprises: And multiplying the adjustment accumulated deviation value, the adjustment time deviation value, the running average deviation value and the dynamic running deviation value with corresponding weight coefficients respectively, adding, and obtaining the control steady state evaluation score by differencing a preset evaluation reference value and a sum.
7. The method according to claim 1, wherein the method further comprises: and under the condition that the control steady state evaluation score is lower than a preset evaluation threshold, generating control abnormality early warning information corresponding to the target wire making control equipment, and sending the control abnormality early warning information to an equipment management terminal corresponding to the target wire making control equipment.
8. A tobacco cut-making control evaluation device, characterized in that the device comprises: the data acquisition module is used for acquiring dynamic process parameter data of the target wire making control equipment and splitting the dynamic process parameter data into adjustment phase parameter data and operation phase parameter data; The deviation parameter determining module is used for determining an adjustment deviation parameter based on the adjustment phase parameter data and determining an operation deviation parameter based on the operation phase parameter data; and the control steady state evaluation module is used for determining a control steady state evaluation score based on the adjustment deviation parameter and the operation deviation parameter, and taking the control steady state evaluation score as a processing capacity evaluation result of the target wire making control equipment.
9. A computer device, the computer device comprising: One or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the tobacco cut control evaluation method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the tobacco cut control evaluation method according to any one of claims 1 to 7.

Description

Tobacco shredding control evaluation method, device, equipment and storage medium Technical Field The embodiment of the invention relates to the technical field of tobacco processing detection, in particular to a tobacco shredding control evaluation method, a device, equipment and a storage medium. Background At present, a PID feedback control method is widely adopted in the tobacco processing process to realize the accurate regulation and control of multiple process indexes, and the optimal configuration of key parameters such as regulating time, overshoot, peak time and the like is completed in the system design and optimization stage. In order to further improve the stability and predictability of the process, actual operation data in the production process are acquired in real time, dynamic comparison and analysis are carried out on the actual operation data and a preset second-order system response curve, on-line monitoring of actuator parameters such as valve opening, motor rotation speed and the like is combined, system anomalies (such as parameter deviation threshold values, actuator faults and the like) can be rapidly identified and positioned, a multi-dimensional evaluation model is constructed based on the process index change trend, the model is utilized to output data to predict the system performance attenuation period, and scientific data support is provided for formulating a targeted optimization strategy in advance. At present, an evaluation system of each process index is only focused on steady-state data (such as an index target value, standard deviation and the like in a steady operation state), and a definite evaluation standard and a quantitative analysis result are absent for performance of a system in a transition stage. However, the parameter abnormality in the adjustment stage is critical to the control precision and stability of the subsequent system after entering a steady state, so that the evaluation system of the process index is required to be further improved. Disclosure of Invention The embodiment of the invention provides a tobacco shred control evaluation method, a device, equipment and a storage medium, which can further perfect a shred control evaluation system and improve the accuracy of shred control evaluation. In a first aspect, an embodiment of the present invention provides a method for controlling and evaluating tobacco shredding, where the method includes: The method comprises the steps of obtaining dynamic process parameter data of target wire making control equipment, splitting the dynamic process parameter data into adjusting stage parameter data and operating stage parameter data, determining adjusting deviation parameters based on the adjusting stage parameter data and operating deviation parameters based on the operating stage parameter data, determining control steady state evaluation scores based on the adjusting deviation parameters and the operating deviation parameters, and taking the control steady state evaluation scores as processing capacity evaluation results of the target wire making control equipment. In a second aspect, an embodiment of the present invention provides a tobacco shredding control evaluation apparatus, including: The device comprises a data acquisition module, a deviation parameter determination module, a control steady state evaluation module and a control steady state evaluation module, wherein the data acquisition module is used for acquiring dynamic process parameter data of target wire making control equipment and splitting the dynamic process parameter data into adjustment phase parameter data and operation phase parameter data, the deviation parameter determination module is used for determining adjustment deviation parameters based on the adjustment phase parameter data and operation deviation parameters based on the operation phase parameter data, and the control steady state evaluation module is used for determining control steady state evaluation scores based on the adjustment deviation parameters and the operation deviation parameters and taking the control steady state evaluation scores as processing capacity evaluation results of the target wire making control equipment. In a third aspect, an embodiment of the present invention provides a computer apparatus, including: One or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the tobacco cut control evaluation method of any of the embodiments. In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the tobacco cut control evaluation method according to any of the embodiments. According to the technical scheme provided by the embodiment of the invention, dynamic process parameter data of target wire-ma