CN-118223178-B - Weft insertion control method, product, equipment and medium for air jet loom

CN118223178BCN 118223178 BCN118223178 BCN 118223178BCN-118223178-B

Abstract

The application relates to the technical field of air jet loom control, in particular to a weft insertion control method, a product, equipment and a medium of an air jet loom. The method comprises the steps of obtaining historical data corresponding to the air jet loom, wherein the historical data comprise environmental data, fabric data and air jet device data of the air jet loom, creating a prediction model according to the environmental data, the fabric data and the air jet device data, obtaining current environmental data, current fabric data and current air jet device data, inputting the current environmental data and the current fabric data into the prediction model to obtain predicted air jet device data, and adjusting parameters of the air jet device of the air jet loom according to the predicted air jet device data and the current air jet device data so that the air jet device performs weft insertion according to the adjusted parameters. The application can improve the accuracy and the real-time performance of weft insertion control.

Inventors

FANG JIANJUN
LI PING
ZHANG GUANYAO
Zhuo Qilin

Assignees

杭州惠邦纺织有限公司

Dates

Publication Date: 20260508
Application Date: 20240422

Claims (9)

1. A method for controlling weft insertion in an air jet loom, comprising: Acquiring historical data corresponding to an air jet loom, wherein the historical data comprises environmental data, fabric data and air jet device data of the air jet loom; Creating a predictive model from the environmental data, the fabric data, and the air jet device data; acquiring current environment data, current fabric data and current air jet device data, and inputting the current environment data and the current fabric data into the prediction model to obtain predicted air jet device data; According to the predicted air jet device data and the current air jet device data, parameter adjustment is carried out on an air jet device of the air jet loom, so that the air jet device carries out weft insertion according to the adjusted parameters; creating a predictive model from the environmental data, the fabric data, and the air jet device data, comprising: Creating independent matrixes for the environment data, the fabric data and the air jet device data respectively to obtain an environment data matrix, a fabric data matrix and an air jet device data matrix, and creating an association matrix according to the environment data, the fabric data and the air jet device data; Respectively carrying out statistical analysis on the environment data matrix, the fabric data matrix, the air jet device data matrix and the incidence matrix to obtain a statistical analysis result; and creating a prediction model based on the statistical analysis result.
2. The air jet loom weft insertion control method according to claim 1, characterized in that creating a predictive model based on the statistical analysis result comprises: Determining key features from the environmental data, the fabric data and the air jet device data according to the statistical analysis result, and determining a prediction model type; And creating a prediction model according to the key characteristics and the prediction model type.
3. The air jet loom weft insertion control method of claim 1, wherein acquiring current environmental data, current fabric data, and current air jet device data comprises: acquiring current data acquired by a plurality of acquisition devices, wherein the plurality of acquisition devices comprise acquisition devices corresponding to environment data, fabric data and air jet device data respectively; According to the calibration value corresponding to the target acquisition equipment, current initial target data are adjusted to obtain current target data, the target acquisition equipment is any one of the plurality of acquisition equipment, and the current initial target data are data corresponding to the target acquisition equipment in the current data; and adjusting each piece of current data to obtain current environment data, current fabric data and current air jet device data.
4. The air jet loom weft insertion control method of claim 3, further comprising: Acquiring target data according to a preset acquisition frequency, and acquiring first target data acquired at the last acquisition time adjacent to the current time and second target data acquired at the current time, wherein the target data are data of the same type as the data acquired by the target acquisition equipment; Acquiring first initial target data corresponding to the last acquisition time and second initial target data corresponding to the current time, wherein the first initial target data and the second initial target data are real-time data acquired by target acquisition equipment; Comparing the first target data with the first initial target data to obtain a first difference value, and comparing the second target data with the second initial target data to obtain a second difference value; and determining a calibration value of the acquisition equipment corresponding to the target data according to the first difference value and the second difference value.
5. The method of claim 4, wherein determining a calibration value of the acquisition device corresponding to the target data based on the first difference and the second difference comprises: Judging whether the first difference value and the second difference value are the same number or not, and judging whether the absolute value of the first difference value and the second difference value exceeds a preset difference value or not; If the first difference value and the second difference value are the same number, and absolute values of the first difference value and the second difference value exceed the preset difference value, determining an average value of the first difference value and the second difference value, and taking the average value as a calibration value of the target acquisition equipment.
6. The air jet loom weft insertion control method of claim 5, further comprising: And if the first difference value and the second difference value are not the same number, and the absolute values of the first difference value and the second difference value are both larger than the preset difference value, sending an alarm signal to prompt that the target acquisition equipment has a fault through the alarm signal.
7. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the air jet loom weft insertion control method of any one of claims 1 to 6.
8. An electronic device, comprising: at least one processor; A memory; At least one application program stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to perform the air jet loom weft insertion control method of any one of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed in a computer, causes the computer to perform the air jet loom weft insertion control method according to any one of claims 1 to 6.

Description

Weft insertion control method, product, equipment and medium for air jet loom Technical Field The application relates to the technical field of air jet loom control, in particular to an air jet loom weft insertion control method, an air jet loom weft insertion control product, an air jet loom weft insertion control device and an air jet loom weft insertion control medium. Background As an important device for modern textile industry, the precise control of the weft insertion process is critical for improving the quality and production efficiency of the product. The weft insertion process involves a number of factors including environmental conditions, fabric type, operating conditions of the air jet device, etc. The related art can monitor the quality of fabric produced by an air jet loom in real time, and timely adjust parameters of an air jet device when quality problems are found, so that weft insertion is accurately controlled. However, this way of post-adjustment is often countermeasures that are taken after quality problems have occurred, inevitably with some hysteresis. Such hysteresis may not only result in increased production costs, but may also have an irreversible effect on the overall quality of the fabric, thereby affecting the economic benefits and market competitiveness of the enterprise. Disclosure of Invention In order to solve the problem of hysteresis in weft insertion control in the prior art, the application provides a weft insertion control method, a product, equipment and a medium of an air jet loom. In a first aspect, the present application provides a weft insertion control method for an air jet loom, which adopts the following technical scheme: an air jet loom weft insertion control method comprising: Acquiring historical data corresponding to an air jet loom, wherein the historical data comprises environmental data, fabric data and air jet device data of the air jet loom; Creating a predictive model from the environmental data, the fabric data, and the air jet device data; acquiring current environment data, current fabric data and current air jet device data, and inputting the current environment data and the current fabric data into the prediction model to obtain predicted air jet device data; And adjusting parameters of the air jet device of the air jet loom according to the predicted air jet device data and the current air jet device data, so that the air jet device performs weft insertion according to the adjusted parameters. By adopting the technical scheme, the historical data corresponding to the air jet loom is obtained, a data basis can be provided for the establishment of a prediction model, the prediction model established based on the historical data can learn the relevance and rules among the environment, the fabric and the air jet device, the due ideal parameters of the air jet device can be predicted, the current environment data and the fabric data are obtained in real time and are input into the prediction model, the ideal parameters of the air jet device under the current condition can be obtained rapidly, the air jet loom can be dynamically adjusted according to different environments and the fabric, the adaptability and the operation efficiency of the loom are improved, the accurate parameter adjustment can be carried out on the air jet device by comparing the difference between the predicted air jet device data and the current air jet device data, the accuracy and the instantaneity of weft insertion control can be improved, and the production quality and the production efficiency of the air jet loom are further improved. The present application may be further configured in a preferred example to create a predictive model from the environmental data, the fabric data, and the air jet device data, comprising: Creating independent matrixes for the environment data, the fabric data and the air jet device data respectively to obtain an environment data matrix, a fabric data matrix and an air jet device data matrix, and creating an association matrix according to the environment data, the fabric data and the air jet device data; Respectively carrying out statistical analysis on the environment data matrix, the fabric data matrix, the air jet device data matrix and the incidence matrix to obtain a statistical analysis result; and creating a prediction model based on the statistical analysis result. By adopting the technical scheme, the environment data matrix, the fabric data matrix and the air jet device data matrix are created, the organization and the management of data are facilitated, the independent matrix belongs to analysis and extraction of key characteristics, the correlation matrix can reveal the correlation among different data types, the prediction model based on the statistical analysis result can capture the complex relationship among the environment, the fabric and the air jet device more accurately, and the operation efficiency and the production qu