Hydraulic loom control method and control system

Abstract

The invention provides a water-jet loom control method and system, and belongs to the technical field of data control, and the method specifically comprises the steps: determining the distribution data of the spinning quality characteristics of different dimensions under different available control water pressures according to the analysis results of the spinning data of a water-jet loom under different available control water pressures, determining recommended control water pressure in the available control water pressure according to the distribution data of the textile quality characteristics of different dimensions, controlling the water pressure of the water-jet loom by using the recommended control water pressure, and determining a water pressure control strategy of the water-jet loom according to the change condition of the water pressure monitoring data of the water-jet loom. And the reliability of spinning treatment of the water-jet loom is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of data control, and in particular relates to a water jet loom control method and control system. Background Art

[0002] Water Jet Loom is a shuttleless loom that uses a jet of water to pull the weft yarn through the shed. The frictional traction of water jet weft insertion on the weft yarn is greater than that of air jet weft insertion, and the diffusion is small. It is suitable for the weft insertion of smooth-surfaced synthetic fibers, glass fibers and other filaments. At the same time, it can increase the conductivity of synthetic fibers and effectively overcome static electricity in weaving.

[0003] In order to adjust the water pressure when processing different types of weft yarns and improve the quality of fabrics, the invention patent application CN201910174184.6 "A water jet loom weft insertion system and debugging method thereof" has been developed to adjust and configure the weft insertion system for a certain type of weft yarn to achieve the minimum water pressure required for processing the weft yarn of that type, thereby determining the minimum water pressure required for different types of weft yarns. However, at the same time, the following technical problems exist: The existing technical solutions ignore the analysis results of the textile data of the water jet loom to adjust the water pressure of the water jet loom. During the textile processing, there may be water pressure fluctuations or water pressure anomalies. Therefore, if the monitoring data of the water pressure data cannot be dynamically adjusted, the reliability of the textile results cannot be guaranteed.

[0004] In view of the above technical problems, the present invention provides a water jet loom control method and control system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: According to one aspect of the present invention, a water jet loom control method is provided.

[0006] A water jet loom control method, specifically comprising: S1: determining the historical fluctuation data of the water jet loom in different fluctuation ranges based on the historical fluctuation data of the water jet loom under different control water pressures, and determining the probability of occurrence of the fluctuation range and the attention fluctuation range through the historical fluctuation data in different fluctuation ranges; S2: determining the water pressure control interval with the minimum water pressure of the target weft type as a constraint condition, determining the probability of overlap with the water pressure control interval under different control water pressures based on the probability of occurrence of the attention fluctuation interval, and determining the available control water pressures in the control water pressures in combination with the historical overlap data with the water pressure control interval under different control water pressures; S3: determining distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of textile data of the water jet loom under different available control water pressures, and determining the recommended control water pressure among the available control water pressures based on the distribution data of textile quality characteristics of different dimensions; S4 uses the recommended control water pressure to control the water pressure of the water jet loom, and uses the change of the water pressure monitoring data of the water jet loom to determine the water pressure control strategy of the water jet loom.

[0007] A further technical solution is that the historical fluctuation data is determined based on monitoring data of a water pressure detection device of the water jet loom.

[0008] A further technical solution is that the historical fluctuation data is based on the water pressure fluctuation amount and fluctuation amplitude of the water jet loom.

[0009] A further technical solution is that the fluctuation range is divided according to preset water pressure intervals.

[0010] A further technical solution is that the recommended control water pressure is the available control water pressure with the smallest water pressure quality deviation coefficient.

[0011] A further technical solution is that the method for determining the water pressure control strategy of the water jet loom is: Based on the change of the water pressure monitoring data of the water jet loom, the accumulated time length of the water pressure monitoring data of the water jet loom being in the water pressure control range is calculated; The water pressure control strategy of the water jet loom is determined based on the accumulated time length that the water pressure monitoring data of the water jet loom is in the water pressure control interval.

[0012] A further technical solution is that when the accumulated time does not meet the requirement, it is determined that the water pressure of the water jet loom needs to be adjusted, and when the accumulated time meets the requirement, it is determined that the water pressure of the water jet loom does not need to be adjusted.

[0013] In a second aspect, the present application provides a water jet loom control system, which adopts the above-mentioned water jet loom control method, specifically comprising: Attention interval extraction module, available water pressure screening module, recommended water pressure determination module, control strategy adjustment module; The attention interval extraction module is responsible for determining the historical fluctuation data of the water jet loom in different fluctuation intervals based on the historical fluctuation data of the water jet loom under different control water pressures, and determining the probability of occurrence of the fluctuation interval and the attention fluctuation interval through the historical fluctuation data in different fluctuation intervals; The available water pressure screening module is responsible for determining the water pressure control interval with the minimum water pressure of the target weft type as a constraint condition, determining the probability of overlap with the water pressure control interval under different control water pressures based on the probability of occurrence of the attention fluctuation interval, and determining the available control water pressures among the control water pressures in combination with the historical overlap data with the water pressure control interval under different control water pressures; The recommended water pressure determination module is responsible for determining the distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of the textile data of the water jet loom under different available control water pressures, and determining the recommended control water pressure among the available control water pressures based on the distribution data of the textile quality characteristics of different dimensions; The control strategy adjustment module is responsible for controlling the water pressure of the water jet loom using the recommended control water pressure, and determining the water pressure control strategy of the water jet loom using the change of the water pressure monitoring data of the water jet loom.

[0014] The beneficial effects of the present invention are: By determining the probability of occurrence of fluctuation volume intervals and the attention fluctuation volume intervals based on the historical fluctuation data in different fluctuation volume intervals, it is possible to determine the attention fluctuation volume intervals from the perspective of the historical fluctuation data in different fluctuation volume intervals, which also lays the foundation for further determination of the recommended control water pressure, avoids the technical problem that the textile processing quality of the water jet loom does not meet the requirements due to the fluctuation of water pressure under the controlled water pressure, and improves the reliability of textile processing.

[0015] The water pressure control strategy of the water jet loom is determined by utilizing the changes in the water pressure monitoring data of the water jet loom, thereby avoiding the technical problem of low textile processing quality caused by fluctuations in the water pressure monitoring data or the water pressure monitoring data entering the water pressure control range, realizing dynamic adjustment of the water jet loom and ensuring the reliability of the water pressure control of the water jet loom.

[0016] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings; Figure 1 is a flow chart of a water jet loom control method; Figure 2It is a flow chart of the method for determining the probability of occurrence of the fluctuation volume interval; Figure 3 is a flow chart of a method for determining the probability of coincidence occurrence; Figure 4 is a flow chart of a method for determining an available control water pressure in a control water pressure; Figure 5 It is a framework diagram of a water jet loom control system. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0020] When using a water jet loom for weft yarn processing, there may be water pressure fluctuations or abnormal water pressure. Therefore, if the water pressure data cannot be monitored and adjusted dynamically, the reliability of the textile results cannot be guaranteed.

[0021] The probability of occurrence of the fluctuation volume interval is determined by the ratio of the historical fluctuation times of the fluctuation volume interval to the textile processing times, and the fluctuation volume interval with the occurrence probability greater than 0.1 is taken as the attention fluctuation volume interval.

[0022] The available control water pressure is the control water pressure having the lowest probability of overlap with the water pressure control interval and the largest proportion of historical overlap duration with the water pressure control interval.

[0023] The recommended control water pressure is the average maximum available control water pressure that produces the highest acceptable rate of textile quality characteristics in different dimensions.

[0024] When the cumulative operating time of the water jet loom outside the water pressure control range accounts for more than 0.05, it is determined that the recommended control water pressure needs to be changed.

[0025] Embodiment 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a water jet loom control method is provided, which specifically includes: S1: determining the historical fluctuation data of the water jet loom in different fluctuation ranges based on the historical fluctuation data of the water jet loom under different control water pressures, and determining the probability of occurrence of the fluctuation range and the attention fluctuation range through the historical fluctuation data in different fluctuation ranges; Furthermore, the historical fluctuation data is determined based on monitoring data of a water pressure detection device of the water jet loom.

[0026] It can be understood that the historical fluctuation data is based on the water pressure fluctuation amount and fluctuation amplitude of the water jet loom.

[0027] It should be noted that the fluctuation range is divided according to preset water pressure intervals.

[0028] In addition, it should be noted that Figure 2 As shown, the method for determining the probability of occurrence of the fluctuation range is: Determine the number of historical fluctuations in the fluctuation range based on the historical fluctuation data in the fluctuation range, and use it as the matching fluctuation number; Determine the matching fluctuation times under different control water pressures based on the control water pressures corresponding to different matching fluctuation times, and determine the fluctuation occurrence probability under different control water pressures based on the matching fluctuation times under different control water pressures; The probability of occurrence of the fluctuation range is determined by the probability of fluctuation occurrence under different control water pressures.

[0029] Further, the probability of occurrence of fluctuations under the controlled water pressure is determined based on the ratio of the number of matching fluctuations to the number of weaving processes of the water jet loom under the controlled water pressure.

[0030] It can be understood that the occurrence probability of the fluctuation amount interval is determined according to the weighted sum of the fluctuation occurrence probabilities under different control water pressures.

[0031] It should also be noted that the attention fluctuation volume interval is a fluctuation volume interval whose probability of occurrence is greater than a preset probability threshold.

[0032] Optionally, the method for determining the occurrence probability of the fluctuation range is: Determine the number of historical fluctuations in the fluctuation range based on the historical fluctuation data in the fluctuation range, and use it as the matching fluctuation number; The occurrence probability of the fluctuation amount interval is determined by the matching fluctuation times.

[0033] It should be noted that the occurrence probability of the fluctuation amount interval is determined according to the preset probability corresponding to the matching fluctuation number.

[0034] Optionally, the method for determining the probability of occurrence of the fluctuation range includes steps S11-S13, specifically: Determine the historical fluctuation times of the fluctuation interval based on the historical fluctuation data in the fluctuation interval, and use it as the matching fluctuation times, and when the matching fluctuation times is less than a preset fluctuation times threshold, determine that the fluctuation interval does not belong to the attention fluctuation interval; When the matching fluctuation number is not less than the preset fluctuation number threshold: Based on the matching fluctuation times, when the matching fluctuation times are within a preset fluctuation times interval: The matching fluctuation times under different control water pressures are determined by using the control water pressures corresponding to different matching fluctuation times. When the number of control water pressures under the matching fluctuation times is less than the preset water pressure number, it is determined that the fluctuation amount interval does not belong to the attention fluctuation amount interval. When the number of controlled water pressures under matching fluctuation times is not less than the preset water pressure number: When it is determined that there is no control water pressure whose matching fluctuation times do not meet the requirements based on the matching fluctuation times under different control water pressures, it is determined that the fluctuation amount interval does not belong to the attention fluctuation amount interval; When there is a control water pressure where the matching fluctuation times do not meet the requirements: The matching fluctuation times under different control water pressures are determined based on the control water pressures corresponding to different matching fluctuation times, and the fluctuation occurrence probabilities under different control water pressures are determined based on the matching fluctuation times under different control water pressures. When the fluctuation occurrence probabilities under different control water pressures all meet the requirements, it is determined that the fluctuation amount interval does not belong to the attention fluctuation amount interval. When there is a control water pressure whose fluctuation probability does not meet the requirement or the matching fluctuation number is not within the preset fluctuation number range: The probability of occurrence of the fluctuation range is determined by the probability of fluctuation occurrence under different control water pressures.

[0035] S2: determining the water pressure control interval with the minimum water pressure of the target weft type as a constraint condition, determining the probability of overlap with the water pressure control interval under different control water pressures based on the probability of occurrence of the attention fluctuation interval, and determining the available control water pressures in the control water pressures in combination with the historical overlap data with the water pressure control interval under different control water pressures; Furthermore, the water pressure control interval is determined according to the lowest water pressure of the target weft yarn type and a preset water pressure range.

[0036] Specifically, Figure 3 As shown, the method for determining the probability of coincidence is: determining an abnormal interval in the caution fluctuation range based on whether the control water pressure enters the water pressure control range under the caution fluctuation range; The probability of the control water pressure overlapping the water pressure control interval is determined according to the sum of the probability of the abnormal interval.

[0037] Specifically, Figure 4 As shown, the method for determining the available control water pressure in the control water pressure is: Determining the number of historical overlaps between the control water pressure and the water pressure control interval according to historical overlap data between the control water pressure and the water pressure control interval; Based on the historical number of coincidences, the probability of abnormal water pressure of the control water pressure is determined according to a preset proportionality coefficient; The comprehensive abnormality probability of the control water pressure is determined by the water pressure abnormality probability and the coincidence occurrence probability of the control water pressure, and whether the control water pressure is an available control water pressure is determined based on the comprehensive abnormality probability.

[0038] Further, when the comprehensive abnormal probability of the control water pressure does not meet the requirement, it is determined that the control water pressure does not belong to the available control water pressure.

[0039] It should also be noted that the comprehensive abnormal probability of the control water pressure is determined based on the average value of the water pressure abnormal probability of the control water pressure and the probability of coincidence occurrence.

[0040] It should also be noted that the method for determining the available control water pressure in the control water pressure is: Determining the historical overlap between the control water pressure and the water pressure control interval according to the historical overlap data between the control water pressure and the water pressure control interval; Based on the historical coincidence, the number of weaving processes of the water jet loom with the historical coincidence is determined, and the number is used as the abnormal weaving process number, and the abnormal probability of the water pressure of the control water pressure is determined based on the ratio of the abnormal weaving process number to the weaving process number; The comprehensive abnormality probability of the control water pressure is determined by the water pressure abnormality probability and the coincidence occurrence probability of the control water pressure, and whether the control water pressure is an available control water pressure is determined based on the comprehensive abnormality probability.

[0041] Optionally, determining the available control water pressure in the control water pressure comprises the following steps: Optionally, before entering step S21, it is also necessary to determine whether the probability of coincidence of the control water pressures is greater than a preset probability threshold. When the probability of coincidence of the control water pressures is greater than the preset probability threshold, it is determined that the control water pressure does not belong to the available control water pressure. When the probability of coincidence of the control water pressures is not greater than the preset probability threshold, proceed to step S21.

[0042] S21 determines the historical overlap between the control water pressure and the water pressure control interval according to the historical overlap data between the control water pressure and the water pressure control interval; S22 determines the number of weaving processes of the water jet loom with historical overlap based on the historical overlap, and uses it as the number of abnormal weaving processes, and determines the water pressure abnormality coefficient of the control water pressure based on the historical overlap duration of different abnormal weaving processes; S23 determines the comprehensive abnormality coefficient of the control water pressure through the water pressure abnormality coefficient of the control water pressure and the probability of coincidence, and determines whether the control water pressure is an available control water pressure based on the comprehensive abnormality coefficient.

[0043] S3: determining distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of textile data of the water jet loom under different available control water pressures, and determining the recommended control water pressure among the available control water pressures based on the distribution data of textile quality characteristics of different dimensions; Specifically, the method for determining the recommended control water pressure among the available control water pressures is: Determining the number of textile processing times at which the textile quality characteristics in different dimensions are abnormal under the controllable water pressure according to the distribution data of the textile quality characteristics in different dimensions; Determine the characteristic deviation coefficient of different textile processing times through the proportion of the number of dimensions with abnormal textile quality characteristics of different textile processing times; The water pressure quality deviation coefficient of the available control water pressure is determined based on the weight of the characteristic deviation coefficient of different textile processing times, and the recommended control water pressure among the available control water pressures is determined according to the water pressure quality deviation coefficient.

[0044] Optionally, the method for determining the recommended control water pressure among the available control water pressures comprises the following steps: S31, according to the distribution data of the textile quality characteristics in different dimensions, determining the number of textile processing times in which the textile quality characteristics in different dimensions under the controllable water pressure are abnormal, and using it as the number of textile quality deviations; Optionally, the above step S31 includes steps S311-S313, which are specifically: S311 obtains the number of textile processing times with abnormal textile quality characteristics, and uses it as the number of abnormal quality processing times. When the proportion of the abnormal quality processing times does not meet the requirements, it is determined that the available control water pressure does not belong to the recommended control water pressure. When the proportion of the abnormal quality processing times meets the requirements, it goes to step S312; S312 determines the characteristic deviation coefficients of different textile processing times by the proportion of the number of dimensions in which the textile quality characteristics of different textile processing times are abnormal. If there is no textile processing time whose characteristic deviation coefficient does not meet the requirements, the process proceeds to step S314. If there is a textile processing time whose characteristic deviation coefficient does not meet the requirements, the process proceeds to step S313. S313: when the characteristic deviation coefficient does not meet the requirement of the textile processing times greater than the preset processing times threshold, it is determined that the available control water pressure does not belong to the recommended control water pressure; when the characteristic deviation coefficient does not meet the requirement of the textile processing times greater than the preset processing times threshold, it proceeds to step S314; S314 determines the number of textile processing times in which the textile quality characteristics in different dimensions under the controllable water pressure are abnormal based on the distribution data of the textile quality characteristics in different dimensions, and uses it as the number of textile quality deviations, and proceeds to step S32.

[0045] Optionally, before entering step S32, it is also necessary to determine whether there is a textile quality feature whose number of textile quality deviations does not meet the requirements. When there is no textile quality feature whose number of textile quality deviations does not meet the requirements, then proceed to step S32. When there is a textile quality feature whose number of textile quality deviations does not meet the requirements, it is determined that the available control water pressure does not belong to the recommended control water pressure.

[0046] S32 determines the quality deviation coefficients of the textile quality features of different dimensions according to the proportions of the textile quality deviation times corresponding to the textile quality features of different dimensions and the different textile quality deviation times in the characteristic quantities of the textile quality features; Optionally, the above step S32 includes steps S321-S322, which are specifically: S321 determines the number of textile quality deviations whose characteristic quantity is less than the preset deviation characteristic quantity in the characteristic quantity of the textile quality characteristic with different textile quality deviation times, and when there is a textile quality deviation number whose characteristic quantity is less than the preset deviation characteristic quantity and does not meet the required textile quality characteristic, it is determined that the available control water pressure does not belong to the recommended control water pressure, and when there is no textile quality deviation number whose characteristic quantity is less than the preset deviation characteristic quantity and does not meet the required textile quality characteristic, the process proceeds to step S322; S322 determines the quality deviation coefficient of textile quality characteristics of different dimensions based on the proportion of the number of textile quality deviations corresponding to the textile quality characteristics of different dimensions and the characteristic quantity of the different number of textile quality deviations in the textile quality characteristics. When there are textile quality characteristics whose quality deviation coefficients do not meet the requirements, it is determined that the available control water pressure does not belong to the recommended control water pressure. When there are no textile quality characteristics whose quality deviation coefficients do not meet the requirements, proceed to step S33.

[0047] S33 determines the water pressure quality deviation coefficient of the available control water pressure based on the quality deviation coefficient of the textile quality characteristics in different dimensions, and determines the recommended control water pressure among the available control water pressures according to the water pressure quality deviation coefficient.

[0048] Furthermore, the water pressure quality deviation coefficient of the controllable water pressure is determined according to the average value of the quality deviation coefficients of the textile quality characteristics in different dimensions.

[0049] It can be understood that the recommended control water pressure is the available control water pressure with the smallest water pressure quality deviation coefficient.

[0050] S4 uses the recommended control water pressure to control the water pressure of the water jet loom, and uses the change of the water pressure monitoring data of the water jet loom to determine the water pressure control strategy of the water jet loom.

[0051] Furthermore, the method for determining the water pressure control strategy of the water jet loom is: Based on the change of the water pressure monitoring data of the water jet loom, the accumulated time length of the water pressure monitoring data of the water jet loom being in the water pressure control range is calculated; The water pressure control strategy of the water jet loom is determined based on the accumulated time length that the water pressure monitoring data of the water jet loom is in the water pressure control interval.

[0052] Specifically, when the accumulated time does not meet the requirement, it is determined that the water pressure of the water jet loom needs to be adjusted, and when the accumulated time meets the requirement, it is determined that the water pressure of the water jet loom does not need to be adjusted.

[0053] Embodiment 2 Second, as Figure 5 As shown, the present application provides a water jet loom control system, which adopts the above-mentioned water jet loom control method, specifically including: Attention interval extraction module, available water pressure screening module, recommended water pressure determination module, control strategy adjustment module; The attention interval extraction module is responsible for determining the historical fluctuation data of the water jet loom in different fluctuation intervals based on the historical fluctuation data of the water jet loom under different control water pressures, and determining the probability of occurrence of the fluctuation interval and the attention fluctuation interval through the historical fluctuation data in different fluctuation intervals; The available water pressure screening module is responsible for determining the water pressure control interval with the minimum water pressure of the target weft type as a constraint condition, determining the probability of overlap with the water pressure control interval under different control water pressures based on the probability of occurrence of the attention fluctuation interval, and determining the available control water pressures among the control water pressures in combination with the historical overlap data with the water pressure control interval under different control water pressures; The recommended water pressure determination module is responsible for determining the distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of the textile data of the water jet loom under different available control water pressures, and determining the recommended control water pressure among the available control water pressures based on the distribution data of the textile quality characteristics of different dimensions; The control strategy adjustment module is responsible for controlling the water pressure of the water jet loom using the recommended control water pressure, and determining the water pressure control strategy of the water jet loom using the change of the water pressure monitoring data of the water jet loom.

[0054] Optionally, the above step S21 includes the following contents: S211 determines that there is no historical overlap with the water pressure control interval according to the historical overlap data of the control water pressure and the water pressure control interval, then proceeds to step S213; if there is a historical overlap, proceeds to step S212; S212 determines the total duration of historical overlap based on the historical overlap situation. When the total duration of historical overlap is less than the preset duration threshold, the process proceeds to step S213. When the total duration of historical overlap is not less than the preset duration threshold, the process proceeds to step S22. S213: When the probability of coincidence of the control water pressure is less than the preset coincidence probability threshold, it is determined that the control water pressure belongs to the available control water pressure; when the probability of coincidence of the control water pressure is not less than the preset coincidence probability threshold, the process proceeds to step S22.

[0055] Optionally, the above step S22 includes steps S221-S223, specifically: S221 determines the number of weaving processes of the water jet loom with historical overlap based on the historical overlap, and uses it as the number of abnormal weaving processes. When the number of abnormal weaving processes does not meet the requirement, it is determined that the control water pressure does not belong to the available control water pressure. When the number of abnormal weaving processes meets the requirement, it proceeds to step S222. S222 determines the total historical overlap duration based on the historical overlap durations of different abnormal textile processing times. When the total historical overlap duration does not meet the requirement, the process proceeds to step S223. When the total historical overlap duration meets the requirement, the process proceeds to step S224. S223 determines the number of abnormal textile processing times when the historical overlap time is greater than the preset overlap time based on the historical overlap time. When the number of abnormal textile processing times when the historical overlap time is greater than the preset overlap time does not meet the requirement, it is determined that the control water pressure does not belong to the available control water pressure. When the number of abnormal textile processing times when the historical overlap time is greater than the preset overlap time meets the requirement, the process proceeds to step S224. S224 determines the water pressure anomaly coefficient of the control water pressure based on the historical overlap duration of different abnormal textile processing times. When the water pressure anomaly coefficient of the control water pressure does not meet the requirements, it is determined that the control water pressure does not belong to the available control water pressure. When the water pressure anomaly coefficient of the control water pressure meets the requirements, it proceeds to step S23.

[0056] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0057] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0058] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A water jet loom control method, characterized in that: Specifically include: Based on the historical fluctuation data of the water jet loom under different control water pressures, the historical fluctuation data of the water jet loom in different fluctuation amount intervals are determined, and the probability of occurrence of the fluctuation amount interval and the determination of the attention fluctuation amount interval are determined through the historical fluctuation data in different fluctuation amount intervals; The water pressure control interval is determined by taking the minimum water pressure of the target weft type as a constraint condition, and based on the occurrence probability of the attention fluctuation interval, the probability of coincidence with the water pressure control interval under different control water pressures is determined, and the available control water pressures in the control water pressures are determined in combination with the historical coincidence data with the water pressure control interval under different control water pressures; Determine the distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of textile data of the water jet loom under different available control water pressures, and determine the recommended control water pressure among the available control water pressures based on the distribution data of textile quality characteristics of different dimensions; The water pressure of the water jet loom is controlled by using the recommended control water pressure, and the water pressure control strategy of the water jet loom is determined by using the change of the water pressure monitoring data of the water jet loom.

2. The water jet loom control method according to claim 1, characterized in that: The historical fluctuation data is determined based on the monitoring data of the water pressure detection device of the water jet loom.

3. The water jet loom control method according to claim 1, characterized in that: The historical fluctuation data is based on the water pressure fluctuation amount and fluctuation amplitude of the water jet loom.

4. The water jet loom control method according to claim 1, characterized in that: The fluctuation range is divided according to preset water pressure intervals.

5. The water jet loom control method according to claim 1, characterized in that: The method for determining the occurrence probability of the fluctuation range is: Determine the number of historical fluctuations in the fluctuation range based on the historical fluctuation data in the fluctuation range, and use it as the matching fluctuation number; Determine the matching fluctuation times under different control water pressures by using the control water pressures corresponding to different matching fluctuation times, and determine the fluctuation occurrence probability under different control water pressures based on the matching fluctuation times under different control water pressures; The probability of occurrence of the fluctuation range is determined by the probability of fluctuation occurrence under different control water pressures.

6. The water jet loom control method according to claim 5, characterized in that: The probability of occurrence of fluctuations under the controlled water pressure is determined based on the ratio of the number of matching fluctuations to the number of weaving processes of the water jet loom under the controlled water pressure.

7. The water jet loom control method according to claim 1, characterized in that: The method for determining the available control water pressure in the control water pressure is: Determining the number of historical overlaps between the control water pressure and the water pressure control interval according to historical overlap data between the control water pressure and the water pressure control interval; Based on the historical number of coincidences, the probability of abnormal water pressure of the control water pressure is determined according to a preset proportionality coefficient; The comprehensive abnormality probability of the control water pressure is determined by the water pressure abnormality probability and the coincidence occurrence probability of the control water pressure, and whether the control water pressure is an available control water pressure is determined based on the comprehensive abnormality probability.

8. The water jet loom control method according to claim 7, characterized in that: The comprehensive abnormal probability of the control water pressure is determined based on the average value of the water pressure abnormal probability of the control water pressure and the probability of coincidence occurrence.

9. The water jet loom control method according to claim 1, characterized in that: The method for determining the water pressure control strategy of the water jet loom is: Based on the change of the water pressure monitoring data of the water jet loom, the accumulated time length of the water pressure monitoring data of the water jet loom being in the water pressure control range is calculated; The water pressure control strategy of the water jet loom is determined based on the accumulated time length that the water pressure monitoring data of the water jet loom is in the water pressure control interval.

10. A water jet loom control system, using a water jet loom control method according to any one of claims 1 to 9, characterized in that: Specifically include: Attention interval extraction module, available water pressure screening module, recommended water pressure determination module, control strategy adjustment module; The attention interval extraction module is responsible for determining the historical fluctuation data of the water jet loom in different fluctuation intervals based on the historical fluctuation data of the water jet loom under different control water pressures, and determining the probability of occurrence of the fluctuation interval and the attention fluctuation interval through the historical fluctuation data in different fluctuation intervals; The available water pressure screening module is responsible for determining the water pressure control interval with the minimum water pressure of the target weft type as a constraint condition, determining the probability of overlap with the water pressure control interval under different control water pressures based on the probability of occurrence of the attention fluctuation interval, and determining the available control water pressures among the control water pressures in combination with the historical overlap data with the water pressure control interval under different control water pressures; The recommended water pressure determination module is responsible for determining the distribution data of textile quality characteristics of different dimensions under different available control water pressures based on the analysis results of the textile data of the water jet loom under different available control water pressures, and determining the recommended control water pressure among the available control water pressures based on the distribution data of the textile quality characteristics of different dimensions; The control strategy adjustment module is responsible for controlling the water pressure of the water jet loom using the recommended control water pressure, and determining the water pressure control strategy of the water jet loom using the change of the water pressure monitoring data of the water jet loom.

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