A method and system for controlling operating process parameters of a water jet loom

Abstract

The application relates to the technical field of textile machinery control, and discloses a water-jet loom operation process parameter control method and system, which comprises the following steps: acquiring jet pressure data and spindle running angle of the water-jet loom; determining a weft insertion cycle of the water-jet loom based on the spindle running angle; aligning the jet pressure data with the weft insertion cycle to locate a running stage of a pressure fluctuation signal caused by water supply in the weft insertion cycle; determining a deviation contribution of the pressure fluctuation signal to a weft thread arrival result based on the running stage; evaluating a weft insertion state based on the deviation contribution, and performing operation parameter control on the water-jet loom according to the weft insertion state evaluation result, so that accurate evaluation and parameter control of the weft insertion state are realized, the problem of pressure change and weft thread arrival result conduction distortion in the prior art is solved, control lag or wrong direction is avoided, and continuous and uniform formation of fabric density is ensured.

Description

Technical Field

[0001] This application relates to the field of textile machinery control technology, and more specifically, to a method and system for controlling the operating parameters of a water jet loom. Background Technology

[0002] In existing technologies, to maintain stable weft insertion and uniform fabric density in water-jet looms, continuous monitoring and adjustment of the water supply system's jet pressure are necessary. However, when the machine is operating at high speed and in a steady state with a tight weft insertion rhythm, short-term pulsations or slight changes in local resistance often occur in the water supply pipeline. These short-term pressure fluctuations occur within an extremely short timescale, causing the water flow in the jet zone and the weft yarn's stress state to fail to maintain synchronous linear changes. Pressure fluctuations of the same amplitude will correspond to different actual weft insertion effects under different weft release states, distorting the transmission of jet pressure changes to the weft yarn's position deviation. Existing parameter control methods typically equate detected pressure changes directly with changes in the weft insertion result, easily misjudging some short-term pressure pulsations as effective weft insertion deviations, or treating actual weft insertion deviations as negligible fluctuations. This distortion in the judgment of the weft insertion state makes parameter control actions prone to lag or misdirection, resulting in small deviations in the weft insertion depth and position. These small deviations solidify into localized uneven weft density after continuous weft insertion, even increasing the risk of yarn breakage. Therefore, in high-speed steady-state weaving scenarios, when short-term pressure fluctuations occur in the main water jet channel and the weft insertion rhythm is tight, the change in jet pressure cannot be stably equated with the actual weft insertion result. This leads to a deviation in the judgment of the weft insertion state by the operation process parameter control, which in turn affects the continuous and uniform formation of fabric density. To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this application provides a method and system for controlling the operating parameters of a water jet loom, which can solve the technical problem of distorted weft insertion state judgment caused by short-term pressure fluctuations in the water supply pipeline and the tight weft insertion rhythm during high-speed steady-state weaving. In a first aspect, this application provides a method for controlling the operating parameters of a water-jet loom, including: Obtain the jet pressure data and spindle running angle of the water jet loom; The weft insertion cycle of a water jet loom is determined based on the spindle running angle. Align the jet pressure data with the weft insertion cycle to pinpoint the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle; Based on the operational phase, determine the contribution of pressure fluctuation signals to the deviation of the latitude alignment results; Based on the deviation contribution, the weft insertion status is evaluated, and the operating parameters of the water jet loom are controlled according to the weft insertion status evaluation results. This technical solution enables precise alignment of injection pressure data with the weft insertion cycle, pinpointing the specific operational stage of the pressure fluctuation signal, and determining the deviation contribution based on the operational stage. This allows for accurate assessment and parameter control of the weft insertion status, solving the problem of distortion in the transmission of pressure changes and weft insertion results in existing technologies. It also avoids control lag or misdirection, ensuring the continuous and uniform formation of fabric density. Optionally, the steps for determining the weft insertion cycle of a water jet loom based on the spindle running angle include: Establish a mapping relationship between the angle value of the main shaft running angle and the time sequence nodes of the weft insertion cycle, so as to map the weft insertion cycle into a continuous time sequence interval arranged along the increasing direction of the main shaft running angle; The continuous time interval is divided into multiple continuous operation stages, which include an initial acceleration stage, an intermediate stabilization stage, and an end-positioning stage. The initial acceleration stage corresponds to the main shaft operating angle range after the nozzle of the water jet loom is opened, in which the water flow impacts and accelerates the weft yarn to a preset speed. The intermediate stabilization stage corresponds to the main shaft operating angle range in which the weft yarn maintains a preset stable flight state. The end-positioning stage corresponds to the main shaft operating angle range in which the weft yarn reaches a preset position. By dividing the latitude-guiding cycle into an initial acceleration phase, an intermediate stabilization phase, and an end-positioning phase, the stress state and sensitivity of the latitude line at different flight stages can be precisely identified. This provides a physical basis for subsequent phased assessment of the impact of pressure fluctuations, making the location of pressure fluctuations more accurate and improving the accuracy of latitude-guiding state judgment. Optionally, aligning the jet pressure data with the weft insertion cycle to pinpoint the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle includes the following steps: Each injection pressure data point is correlated with the angle value of the spindle running angle; Using the angle value of the main shaft running angle as an index, each injection pressure data is mapped to the corresponding time sequence position in the weft insertion cycle; Calculate the rate of change of the injection pressure data. When the sign of the rate of change changes from positive to negative or from negative to positive, the injection pressure data point corresponding to the zero-crossing point of the rate of change is determined as the extreme point of the pressure fluctuation signal, and the angle value of the spindle running angle corresponding to the extreme point is recorded. The angle value of the spindle running angle corresponding to the extreme point is compared with the boundary angle value of each running stage, and the running stage of the pressure fluctuation signal is determined based on the comparison result. By hard-synchronizing the pressure data with the spindle running angle and using the zero-crossing point of the rate of change to detect extreme points, the occurrence time of short-term pressure pulsations can be accurately captured and mapped to the specific latitude stage. This achieves precise decoupling of pressure fluctuations and latitude flight status, avoiding the ambiguity of traditional time difference calculations. Optionally, the step of determining the contribution of pressure fluctuation signals to the deviation of the latitude alignment result based on the operational phase includes: The difference between the pressure value corresponding to the extreme point and the preset standard reference pressure value corresponding to the current spindle running angle is calculated as the relative pressure deviation; Based on the operating stage of the pressure fluctuation signal, the deviation conversion weight corresponding to that operating stage is obtained. When the operating stage is the initial acceleration stage or the final arrival stage, the deviation conversion weight is the first preset weight. When the operating stage is the intermediate stable stage, the deviation conversion weight is the second preset weight. The first preset weight is greater than the second preset weight. The relative pressure deviation is multiplied by the deviation conversion weight to obtain the deviation contribution. By introducing a phased deviation conversion weighting mechanism, greater weight is given to pressure fluctuations occurring in the initial acceleration phase and the final arrival phase, while less weight is given to the intermediate stable phase. This can accurately distinguish the actual impact of pressure fluctuations at different stages on the latitude arrival result, effectively filter out harmless fluctuations and amplify key deviations, thereby improving the physical accuracy of deviation contribution calculation. Optionally, after the step of obtaining the deviation conversion weight corresponding to the operating stage based on the operating stage of the pressure fluctuation signal, the following steps are included: Calculate the statistical expectation value of historical injection pressure data within a preset time period. When the deviation between the statistical expectation value and the preset standard reference pressure value exceeds the preset drift threshold, update the statistical expectation value to the new preset standard reference pressure value and simultaneously adjust the first preset weight and the second preset weight. By introducing a long-term benchmark verification and adaptive update mechanism, it is possible to promptly identify latent state drift in water supply pipelines caused by scale buildup or nozzle wear, dynamically adjust the standard reference pressure value and deviation conversion weight, ensure that the control benchmark always matches the actual operating conditions, and improve the adaptability to equipment aging and environmental changes. Optionally, the steps for evaluating the weft insertion state based on the deviation contribution include: The absolute value of the deviation contribution is compared with the preset invalid filtering threshold; If the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the pressure fluctuation signal is determined to be invalid interference and no weft insertion state evaluation result is output. If the absolute value of the deviation contribution is greater than or equal to the preset invalid filtering threshold, the absolute value of the deviation contribution is determined as a valid deviation signal, and all valid deviation signals in the current weft insertion cycle are algebraically accumulated to obtain a comprehensive weft insertion deviation index, which is used as the weft insertion status evaluation result. Optionally, the steps of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results include: When the absolute value of the comprehensive weft insertion deviation index exceeds the preset deviation threshold, the frequency increment of the water pump drive motor or the opening adjustment of the proportional regulating valve of the water supply system is calculated based on the comprehensive weft insertion deviation index, and the operation of the water jet loom is controlled based on the frequency increment or opening adjustment. By converting the comprehensive weft insertion deviation index into specific motor frequency increments or valve opening adjustment amounts, a precise mapping from deviation identification to control execution is achieved. This enables rapid response to real weft insertion deviations and timely correction of water pressure through feedforward compensation, ensuring the accuracy of weft insertion and avoiding the lag problem of traditional control. Optionally, if the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the step of controlling the operating parameters of the water jet loom based on the weft insertion status evaluation result further includes: The deviation contribution amount and its sign for those whose absolute value is less than the preset invalid filtering threshold are stored in the preset accumulation storage area; When a preset number of consecutive deviation contributions in the preset accumulation storage area have the same positive or negative sign, the preset number of consecutive deviation contributions with the same positive or negative sign are algebraically accumulated. When the absolute value of the accumulated algebraic sum exceeds the preset accumulation trigger threshold, the algebraic sum is forcibly incorporated into the comprehensive weft insertion deviation index of the current weft insertion cycle, and the preset accumulation storage area is cleared. The pressure benchmark correction value is calculated based on the comprehensive weft insertion deviation index, and the operating frequency of the water pump drive motor of the water supply system is trend-compensated according to the pressure benchmark correction value. Optionally, after performing the step of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results, the process includes: When the jet pressure data or spindle running angle remains unchanged or exceeds the preset limit range for multiple consecutive weft insertion cycles, the water jet loom will be switched to the preset safe pressure holding mode and a shutdown alarm signal will be generated. Secondly, this application also discloses a water-jet loom operation process parameter control system for executing the water-jet loom operation process parameter control method as described in the first aspect and any of the optional embodiments. The system includes: The data acquisition module is used to acquire the jet pressure data and spindle running angle of the water jet loom; The cycle determination module is used to determine the weft insertion cycle of the water jet loom based on the spindle running angle; The stage positioning module is used to align the jet pressure data with the weft insertion cycle in order to locate the operating stage of the pressure fluctuation signal caused by water supply in the weft insertion cycle. The deviation determination module is used to determine the deviation contribution of the pressure fluctuation signal to the latitude alignment result based on the operation phase. The parameter control module is used to evaluate the weft insertion status based on the deviation contribution and to execute the operating parameter control of the water jet loom according to the weft insertion status evaluation results. This application acquires the jet pressure data and spindle running angle of a water jet loom, determines the weft insertion cycle based on the spindle running angle, and aligns the pressure data with the weft insertion cycle to pinpoint the operational stage of the pressure fluctuation signal within the weft insertion cycle. By analyzing the different impacts of each operational stage on the weft insertion result, the deviation contribution of the pressure fluctuation signal is determined, and the weft insertion status is evaluated accordingly, executing corresponding parameter controls. This solves the technical problem of pressure changes and weft insertion result transmission distortion caused by short-term pressure fluctuations in the water supply pipeline and the close weft insertion rhythm during high-speed steady-state weaving. Through a phased deviation conversion weighting mechanism, the actual impact of pressure fluctuations in different flight stages can be accurately identified, harmless interference can be filtered out, and key deviations can be amplified, avoiding control lag and misaligned adjustments. This ensures the accuracy of weft insertion and the continuous uniformity of fabric density, significantly reducing the risk of yarn breakage and improving the overall yield and production efficiency of the fabric. Attached Figure Description

[0004] Figure 1 This is a flowchart illustrating a method for controlling the operating parameters of a water jet loom, as provided in an embodiment of this application. Figure 2 This is a schematic diagram of the structure of a water jet loom operation process parameter control system provided in an embodiment of this application. Labeling Explanation: 210, Data Acquisition Module; 220, Period Determination Module; 230, Stage Positioning Module; 240, Deviation Determination Module; 250, Parameter Control Module. Detailed Implementation

[0005] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance. In high-speed steady-state weaving scenarios, water-jet looms operate continuously at a spindle speed of 800 to 1500 revolutions per minute, with a single weft insertion cycle typically ranging from 40 to 75 ms. Within this tight timescale, short-term pressure pulsations in the water supply pipeline caused by water flow inertia, valve opening and closing, or minor changes in local resistance usually last shorter than a single weft insertion cycle. If such transient pressure fluctuations occur during the initial acceleration phase of weft flight, they may result in insufficient weft kinetic energy, preventing it from reaching its insertion point; if they occur during the final insertion phase, they may cause deviations in weft insertion depth. However, pressure fluctuations of the same magnitude occurring during the stable flight phase of the weft are often buffered by weft inertia and do not affect the final result. Existing technology directly equates detected pressure changes with changes in the weft insertion result, failing to distinguish the specific flight stage of the weft when pressure fluctuations occur. This leads to misjudging harmless fluctuations as valid deviations or treating true deviations as negligible noise, resulting in control lag or misdirection and uneven weft density in the fabric. Among them, jet pressure data refers to the physical quantity of water flow pressure in the main channel of the water supply system of the water-jet loom, which is usually collected by dynamic pressure sensors installed in the pressure stabilizing chamber between the main water pump outlet and the nozzle inlet or on the main water supply pipe section. The spindle running angle refers to the rotation angle of the loom spindle relative to its initial position, measured in degrees. Each 360-degree rotation corresponds to a complete mechanical motion cycle. The weft insertion cycle refers to the spindle angle interval or time interval corresponding to the completion of one weft insertion action. Within this cycle, the weft undergoes a complete process from static acceleration, stable flight, to final positioning. Pressure fluctuation signal refers to short-term pressure fluctuations in the water supply pipeline caused by water hammer effect, pump speed fluctuations, or changes in local resistance. Deviation contribution refers to the quantified value of the actual impact of a specific pressure fluctuation signal on the final positioning result of the weft. Firstly, see [the following] Figure 1 This application discloses a method for controlling the operating parameters of a water jet loom, including: S1. Obtain the jet pressure data and spindle running angle of the water jet loom. In practical deployments, data acquisition can be implemented in various ways. One approach involves installing a high-frequency dynamic pressure sensor with a response frequency of no less than 10kHz on the main channel of the water supply system, while simultaneously configuring a high-precision absolute rotary encoder on the loom spindle. The sensor and encoder operate independently, reading pressure and angle values ​​separately through software polling. Another preferred approach employs a hardware interrupt synchronous triggering mechanism. Using the pulse signal output from the spindle encoder as a reference clock, the hardware acquisition card triggers an analog-to-digital conversion sampling of the pressure sensor's analog signal whenever the spindle rotates through a set resolution of A or B degrees. This hard synchronization method ensures that each pressure data point automatically carries a precise spindle angle timestamp, fundamentally eliminating the time misalignment between pressure pulsations and the weft insertion cycle. The acquired raw data can undergo low-latency digital filtering, such as using a composite algorithm combining first-order moving average filtering and amplitude limiting filtering, to filter out high-frequency electromagnetic interference and mechanical vibration noise while retaining the true pressure pulsation envelope. As an implementable example, the amplitude limiting filter can determine whether the absolute value of the pressure difference between adjacent sampling points exceeds a preset abrupt change threshold; if it does, the pressure value of the previous sampling point is used to replace the pressure value of the current sampling point. S2. Determine the weft insertion cycle of the water jet loom based on the spindle running angle. One implementation method is to directly equate the fixed 360-degree spindle rotation cycle to the weft insertion cycle. Another implementation method maps the weft insertion cycle to a specific spindle angle range based on the specific loom speed and process requirements, with other angles corresponding to non-weft insertion processes such as beating and shedding. To achieve this mapping relationship, the output signal of the weft detector, the nozzle opening control signal, and the spindle encoder angle value can be jointly calibrated during the loom debugging phase. Specifically, the spindle starting angle corresponding to the nozzle opening moment and the spindle ending angle corresponding to the weft detector detecting the arrival of the weft thread are recorded. The spindle starting angle to the spindle ending angle can then be represented as the effective weft insertion range under the current operating conditions. In one feasible embodiment, the sum of multiple weaving cycles is continuously collected, and a statistically stable value is taken as the boundary of the weft insertion cycle, thereby avoiding boundary drift caused by occasional disturbances in a single cycle. S3. Align the jet pressure data with the weft insertion cycle to pinpoint the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle. After obtaining the pressure data stream with angle timestamps, it is necessary to identify pressure fluctuation events and map them to specific locations within the weft insertion cycle. One approach is to align the data points based on a fixed time window, mapping them to corresponding angular positions through time conversion. Another approach is to directly index each pressure data point using the principal axis running angle, mapping it to the corresponding temporal position within the weft insertion cycle, and identifying extreme points of fluctuation by calculating the pressure change rate between adjacent sampling points. After confirming the extreme point, the principal axis angle value corresponding to that extreme point is compared with the boundary angle values ​​of each running stage within the weft insertion cycle to pinpoint the running stage in which the pressure fluctuation occurs. S4. Based on the operational phase, determine the contribution of pressure fluctuation signals to the deviation of the latitude alignment result. Specifically, the relative pressure deviation can be achieved by calculating the difference between the pressure value corresponding to the extreme point and the preset standard reference pressure value corresponding to the current spindle operating angle. For example, if the pressure at an extreme point is 10 MPa, and the standard pressure at that spindle angle is 9.8 MPa, then the relative pressure deviation is 0.2 MPa. Based on the operating stage of the pressure fluctuation signal, the deviation conversion weight corresponding to that operating stage is obtained. For example, when the operating stage is the initial acceleration phase or the final arrival phase, the deviation conversion weight is the first preset weight; when the operating stage is the intermediate stable phase, the deviation conversion weight is the second preset weight, where the first preset weight is greater than the second preset weight. This is because during the latitude acceleration and arrival phases, the water flow effect is more sensitive to the latitude motion state, and the same pressure fluctuation may lead to a larger arrival deviation. Multiplying the relative pressure deviation by the deviation conversion weight yields the deviation contribution. S5. Based on the deviation contribution, evaluate the weft insertion status and execute the control of the operating parameters of the water jet loom according to the weft insertion status evaluation results. The calculated deviation contribution is compared with a preset threshold, and an adjustment command is output when the trigger condition is met. A more refined implementation is to calculate the frequency adjustment of the water pump drive motor or the opening adjustment of the proportional control valve in the water supply system based on the magnitude and direction of the deviation contribution, and correct the deviation in subsequent weft insertion cycles through feedforward compensation. By synchronously binding the high-frequency collected jet pressure data with the spindle operating angle, the flight stage of the weft thread at the occurrence of each short-term pressure pulsation can be located. Since the impact of pressure fluctuations at different flight stages on the final placement result varies, distinguishing stage attributes allows for the identification of the effective fluctuations truly affecting weft placement, rather than simply equating all pressure changes with weft insertion deviation. This mapping based on the phase of the physical process reduces the time misalignment and transmission distortion between the pressure signal and the weft insertion result, enabling control actions to compensate for actual weft insertion deviations rather than responding to harmless pipeline pulsations. This avoids misaligned adjustments and delayed responses due to misjudgment, ensuring effective control of the placement accuracy of each weft thread under high-speed steady-state operation, thereby maintaining the continuous uniformity of fabric density and reducing the risk of thread breakage. Optionally, the steps for determining the weft insertion cycle of a water jet loom based on the spindle running angle include: Establish a mapping relationship between the angle value of the main shaft running angle and the time sequence nodes of the weft insertion cycle, so as to map the weft insertion cycle into a continuous time sequence interval arranged along the increasing direction of the main shaft running angle; The continuous time interval is divided into multiple continuous operation stages, which include an initial acceleration stage, an intermediate stabilization stage, and an end-positioning stage. The initial acceleration stage corresponds to the main shaft operating angle range after the nozzle of the water jet loom is opened, in which the water flow impacts and accelerates the weft yarn to a preset speed. The intermediate stabilization stage corresponds to the main shaft operating angle range in which the weft yarn maintains a preset stable flight state. The end-positioning stage corresponds to the main shaft operating angle range in which the weft yarn reaches a preset position. Establishing a mapping relationship between the angle value of the main axis operation angle and the timing nodes of the weft insertion cycle refers to associating the weft insertion cycle with the main axis operation angle. This can be achieved through pre-calibration or real-time calculation. For example, key timing nodes in the weft insertion process, such as nozzle opening, latitude acceleration to a preset speed, stable flight of the latitude, and latitude arrival, can be experimentally measured at different main axis angles. These timing nodes can then be associated with the corresponding main axis operation angle values ​​to form a mapping table or function. Dividing a continuous time series into multiple consecutive operating stages refers to subdividing the entire weft insertion cycle into sub-stages with clear physical meaning based on the actual movement state of the weft yarn during the weft insertion process. These stages include the initial acceleration stage, the intermediate stabilization stage, and the final positioning stage. The initial acceleration stage corresponds to the spindle operating angle range within which the water jet loom's nozzles open, causing the water flow to accelerate the weft yarn to a preset speed. Specifically, the start and end angles of this range can be determined by monitoring the nozzle opening signal and weft yarn speed sensor data. The intermediate stabilization stage corresponds to the spindle operating angle range within which the weft yarn maintains a preset stable flight state. Specifically, the boundaries of this range can be determined by monitoring the fluctuation of the weft yarn speed within a preset range. The final positioning stage corresponds to the spindle operating angle range within which the weft yarn reaches a preset position. Specifically, the spindle angle when the weft yarn reaches the preset position can be determined using a weft yarn positioning sensor or image recognition technology. Specifically, by concretizing the abstract latitude-adjustment cycle into a continuous time interval associated with the main axis operating angle, and further subdividing it into three operating stages with clear physical meaning, a foundation is provided for subsequent accurate positioning of pressure fluctuation signals and assessment of their contribution to the deviation of latitude alignment results. First, by establishing a mapping relationship between the angle value of the main shaft running angle and the time sequence nodes of the weft insertion cycle, the weft insertion cycle can be accurately mapped as a continuous time sequence interval arranged along the increasing direction of the main shaft running angle. This mapping relationship makes the weft insertion cycle no longer a vague time concept, but an angle interval closely related to the actual operating state of the loom, laying the foundation for subsequent refined analysis. For example, when the main shaft running angle starts from 0 degrees, the nozzle opens at 10 degrees, the weft yarn accelerates to the preset speed at 30 degrees, begins to decelerate at 150 degrees, and reaches the preset position at 180 degrees, then the weft insertion cycle can be accurately mapped to the main shaft running angle interval from 10 degrees to 180 degrees. Based on this, the continuous time interval is divided into multiple continuous operating stages, including an initial acceleration stage, an intermediate stabilization stage, and a final arrival stage. The initial acceleration stage corresponds to the main axis operating angle range within which the water flow impact accelerates the latitude to a preset speed after the nozzles open. This reflects the critical stage of the latitude's acceleration under force in the initial stage of weft insertion. For example, the 10-30 degree range in the aforementioned weft insertion cycle can be defined as the initial acceleration stage. The intermediate stabilization stage corresponds to the main axis operating angle range within which the latitude maintains a preset stable flight state, representing the process of the latitude flying stably in the air. For example, the 30-150 degree range in the aforementioned weft insertion cycle can be defined as the intermediate stabilization stage. The final arrival stage corresponds to the main axis operating angle range within which the latitude reaches a preset position, marking the final completion of the weft insertion process. For example, the 150-180 degree range in the aforementioned weft insertion cycle can be defined as the final arrival stage. This detailed stage division allows for a more accurate understanding and analysis of the impact of pressure fluctuation signals on the latitude's arrival result in different weft insertion stages, thus providing a more precise basis for subsequent parameter control. This method solves the problem that in existing technologies, the latitude period is just an abstract concept, which cannot be directly used to locate pressure fluctuation signals, nor can it intuitively reflect the movement state of the latitude at different stages, resulting in a lack of refined basis for subsequent analysis of pressure fluctuation signals and determination of deviation contribution. In a preferred embodiment, a high-precision spindle angle sensor is installed on the water jet loom to acquire the spindle's operating angle in real time. Simultaneously, through experimental calibration, the spindle angle values ​​at the occurrence of key weft insertion events such as nozzle activation, weft yarn acceleration to a preset speed, stable weft yarn flight, and weft yarn reaching a preset position are determined. For example, the nozzle is set to activate at a spindle angle of 10°, the weft yarn accelerates to a preset speed at 30°, begins to decelerate at 150°, and reaches the preset position at 180°. Based on these calibration values, a mapping relationship is established between the main axis running angle and the timing nodes of the weft insertion cycle. The weft insertion cycle is mapped to a continuous timing interval arranged along the increasing direction of the main axis running angle. For example, the weft insertion cycle is defined as the interval from the main axis angle of 10° to 180°. Furthermore, this continuous time series interval is divided into three consecutive operational phases: Initial acceleration phase: This corresponds to the range of 10° to 30° of the main shaft angle. During this phase, the nozzles open, and the water flow impacts the weft, accelerating it to the preset speed. Intermediate stable segment: This corresponds to the range of 30° to 150° of the main axis angle. During this stage, the latitude line maintains a preset stable flight state. End-of-line section: This corresponds to the range of 150° to 180° of the main axis angle. During this stage, the weft decelerates and reaches the preset position. By specifying the latitude adjustment cycle as a continuous time interval associated with the main axis operating angle, and further subdividing it into operating stages with clear physical meaning, a basis is provided for subsequent accurate positioning of pressure fluctuation signals and assessment of their contribution to the deviation of the latitude alignment results. Optionally, aligning the jet pressure data with the weft insertion cycle to pinpoint the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle includes the following steps: Each injection pressure data point is correlated with the angle value of the spindle running angle; Using the angle value of the main shaft running angle as an index, each injection pressure data is mapped to the corresponding time sequence position in the weft insertion cycle; Calculate the rate of change of the injection pressure data. When the sign of the rate of change changes from positive to negative or from negative to positive, the injection pressure data point corresponding to the zero-crossing point of the rate of change is determined as the extreme point of the pressure fluctuation signal, and the angle value of the spindle running angle corresponding to the extreme point is recorded. The angle value of the spindle running angle corresponding to the extreme point is compared with the boundary angle value of each running stage, and the running stage of the pressure fluctuation signal is determined based on the comparison result. Associating each jet pressure data point with the spindle's operating angle means ensuring that the real-time operating angle of the loom spindle is simultaneously acquired with each jet pressure measurement during data acquisition. This can be achieved by establishing a timestamp synchronization mechanism between the jet pressure sensor and the spindle encoder. For example, a central controller can receive data from the pressure sensor and angle encoder and assign a common timestamp to each pair of data. Alternatively, a hardware trigger mechanism can be used to initiate pressure data acquisition when the spindle reaches a specific angle. The method of mapping each injection pressure data point to its corresponding time position in the weft insertion cycle, using the spindle angle as an index, means placing discrete injection pressure data points into the continuous time series of the weft insertion cycle by using the spindle angle as a reference for the time axis. This can be achieved by constructing an angle-pressure lookup table or using an interpolation algorithm. For example, the weft insertion cycle can be divided into several angle intervals, each interval corresponding to one or more pressure data points, thus precisely aligning the pressure data with the physical progress of the weft insertion cycle. The calculation of the rate of change of injection pressure data refers to obtaining the rate at which pressure changes with time or principal axis angle by performing mathematical operations on continuously collected injection pressure data. Specifically, this can be achieved using the difference method, for example, by calculating the ratio of the pressure difference between two adjacent pressure data points to the corresponding angle difference. Specifically, when the sign of the rate of change changes from positive to negative or from negative to positive, the injection pressure data point corresponding to the zero-crossing point of the rate of change is determined as the extreme point of the pressure fluctuation signal, and the angle value of the spindle running angle corresponding to the extreme point is recorded. This means identifying the peak or trough of pressure fluctuation by monitoring the sign reversal of the pressure rate of change. Specifically, the sign of the rate of change can be monitored in real time; when the sign changes from positive to negative (indicating a peak value) or from negative to positive (indicating a trough value), the pressure data point at that moment and its corresponding spindle running angle are recorded. The comparison of the principal axis angle corresponding to the extreme point with the boundary angles of each operating stage involves comparing the principal axis angle at the time the identified pressure fluctuation extreme point occurs with the start and end angles of each operating stage of the predefined weft insertion cycle, such as the initial acceleration segment, the intermediate stabilization segment, and the final arrival segment. This can be implemented using conditional statements. For example, if the extreme point angle is greater than or equal to the start angle of the initial acceleration segment and less than the end angle of the initial acceleration segment, then it is determined to be in the initial acceleration segment. Specifically, firstly, by associating each jet pressure data point with the angle value of the spindle running angle, and using the spindle running angle as an index, each jet pressure data point is mapped to its corresponding time position in the weft insertion cycle, achieving precise alignment between the jet pressure data and the weft insertion cycle. This association and mapping method based on the spindle running angle ensures a high degree of temporal synchronization between the pressure data and the actual physical process of the loom operation, laying an accurate foundation for subsequent analysis. Secondly, by calculating the rate of change of the jet pressure data, and based on the zero-crossing point when the sign of the rate of change changes from positive to negative or from negative to positive, the corresponding jet pressure data point is determined as the extreme point of the pressure fluctuation signal, and the angle value of the spindle running angle corresponding to the extreme point is recorded. This method based on the zero-crossing point of the rate of change can accurately capture the peak or trough value of the pressure fluctuation signal, i.e., the extreme point. These extreme points represent the moments when the pressure fluctuation is most significant, which is crucial for analyzing its impact on weft insertion. Finally, by comparing the angle value of the spindle running angle corresponding to the extreme point with the boundary angle values ​​of each running stage, the running stage of the pressure fluctuation signal is determined based on the comparison results. This comparison mechanism can accurately classify the identified extreme points of pressure fluctuations into specific operational stages of the latitude alignment cycle, such as the initial acceleration phase, the intermediate stabilization phase, or the final arrival phase. This provides a basis for assigning different deviation conversion weights according to different operational stages, making the assessment of the deviation contribution of pressure fluctuation signals to the latitude alignment result more refined and accurate. In a preferred embodiment, in a water jet loom operation parameter control system, jet pressure data and spindle operating angle are first acquired in real time via a data acquisition module. For example, the jet pressure sensor acquires pressure values ​​at a sampling rate of 1000Hz, while the spindle encoder outputs the spindle angle with a resolution of 0.1 degrees. During data acquisition, it is ensured that each pressure data point is timestamped and associated with the corresponding spindle angle. Next, the cycle determination module determines the weft insertion cycle based on the spindle running angle. For example, the spindle running angle from 0 degrees to 360 degrees is mapped to a complete weft insertion cycle and divided into three consecutive running phases: an initial acceleration phase, for example, spindle angle from 0 degrees to 60 degrees; an intermediate stabilization phase, for example, spindle angle from 60 degrees to 180 degrees; and an end-positioning phase, for example, spindle angle from 180 degrees to 240 degrees. Then, the stage positioning module performs alignment of the injection pressure data with the weft insertion cycle and localization of the pressure fluctuation signal. Specifically, each acquired injection pressure data point, for example, 1.5 MPa, is associated with its corresponding spindle running angle, for example, 45 degrees. Using the spindle running angle as an index, these pressure data points are mapped to the corresponding time sequence position of the weft insertion cycle. For example, the pressure data corresponding to a spindle angle of 45 degrees is mapped to the initial acceleration phase. Subsequently, the rate of change of the injection pressure data is calculated. For example, if the continuous pressure data points are P1 (44 degrees) = 1.4 MPa, P2 (45 degrees) = 1.5 MPa, and P3 (46 degrees) = 1.48 MPa, then the rate of change from P1 to P2 is (1.5 - 1.4) / (45 - 44) = 0.1 MPa / degree, and the rate of change from P2 to P3 is (1.48 - 1.5) / (46 - 45) = -0.02 MPa / degree. Since the sign of the rate of change changes from positive to negative, there is a zero-crossing point near P2 (45 degrees). The pressure data point corresponding to P2 (45 degrees) is determined as the extreme point of the pressure fluctuation signal, and its main shaft running angle is recorded as 45 degrees. Finally, the spindle running angle of 45 degrees corresponding to the extreme point is compared with the boundary angle values ​​of each running stage. Since 45 degrees is between 0 and 60 degrees in the initial acceleration phase, the pressure fluctuation signal is determined to be in the initial acceleration phase. The above technical solutions can improve the accuracy of determining the subsequent deviation contribution and assessing the weft insertion status, avoid inaccurate calculation of weft insertion deviation caused by inaccurate positioning of pressure fluctuation signals, and thus improve the effectiveness of controlling the operating parameters of water jet looms. Optionally, the step of determining the contribution of pressure fluctuation signals to the deviation of the latitude alignment result based on the operational phase includes: The difference between the pressure value corresponding to the extreme point and the preset standard reference pressure value corresponding to the current spindle running angle is calculated as the relative pressure deviation; Based on the operating stage of the pressure fluctuation signal, the deviation conversion weight corresponding to that operating stage is obtained. When the operating stage is the initial acceleration stage or the final arrival stage, the deviation conversion weight is the first preset weight. When the operating stage is the intermediate stable stage, the deviation conversion weight is the second preset weight. The first preset weight is greater than the second preset weight. The relative pressure deviation is multiplied by the deviation conversion weight to obtain the deviation contribution. First, the basic weight parameters for each stage are stored in the configuration area. The initial acceleration stage and the final arrival stage correspond to the first preset weight, and the intermediate stabilization stage corresponds to the second preset weight, with the first preset weight being greater than the second preset weight. The preset standard reference pressure value can be obtained as follows: select multiple weft insertion cycles in which the loom is running stably and continuously and normally, and statistically average the pressure values ​​at the same spindle angle position to form a standard reference pressure curve. The method quantifies the degree of pressure deviation from the ideal state by comparing the actual measured extreme pressure value with the expected ideal pressure value at the current spindle operating angle. Specifically, this can be achieved by using sensors to collect injection pressure data in real time, combining this with the spindle operating angle obtained from the spindle encoder, and then subtracting the collected extreme pressure value from a pre-stored or real-time calculated standard reference pressure value. For example, if the extreme pressure is 1.5 MPa, and the standard reference pressure corresponding to the current spindle angle is 1.2 MPa, then the relative pressure deviation is 0.3 MPa. Specifically, based on the specific stage of the weft insertion process when the pressure fluctuation signal occurs, an appropriate weighting coefficient is selected. This can be achieved using a preset lookup table or conditional judgment logic. For example, a mapping relationship can be preset so that when the pressure fluctuation signal is detected to be in the initial acceleration phase or the final arrival phase, the first preset weight is automatically selected as the deviation conversion weight; when the pressure fluctuation signal is detected to be in the intermediate stable phase, the second preset weight is selected as the deviation conversion weight. In this process, different importance is assigned to pressure fluctuations of the same amplitude at different stages of the latitude-crossing process. This can be achieved by setting two different values ​​in the system parameter configuration; for example, the first preset weight can be set to 0.8, and the second preset weight can be set to 0.3. This setting reflects that during the initial acceleration and terminal positioning stages, the latitude is more sensitive to changes in water pressure, and small pressure fluctuations can lead to large positioning deviations, thus requiring a higher weight to amplify its impact. In the intermediate stable phase, the latitude has reached the preset speed and maintains stable flight; at this point, pressure fluctuations of the same amplitude have a relatively small impact on the positioning result, thus requiring a lower weight. This refers to combining the quantified pressure deviation with the importance of that deviation in a specific operating phase to determine the actual impact of the pressure fluctuation on the latitude alignment. This can be achieved using a digital signal processor or microcontroller performing multiplication operations. For example, if the relative pressure deviation is 0.3 MPa and the deviation conversion weight for the current operating phase is 0.8, then the deviation contribution is 0.24. In a preferred embodiment, injection pressure data is first collected in real time by a pressure sensor, and the spindle running angle is obtained by a spindle encoder. The mapping relationship between the timing nodes of the weft insertion cycle and the spindle running angle is preset, and the weft insertion cycle is divided into an initial acceleration segment (spindle angle 0°-30°), an intermediate stabilization segment (spindle angle 30°-150°), and an end-positioning segment (spindle angle 150°-180°). When an extreme point of the pressure fluctuation signal is detected, for example, at a spindle angle of 20° (the initial acceleration phase), the measured extreme pressure value is 1.8 MPa. At this point, referring to the preset standard reference pressure curve, the standard reference pressure value corresponding to a spindle angle of 20° is found to be 1.5 MPa. Therefore, the relative pressure deviation is calculated to be 1.8 MPa - 1.5 MPa = 0.3 MPa. Since the current operating phase is the initial acceleration phase, the corresponding deviation conversion weight is obtained, for example, set to 0.8. Finally, the relative pressure deviation of 0.3 MPa is multiplied by the deviation conversion weight of 0.8 to obtain the deviation contribution of 0.24. If the extreme point of another pressure fluctuation signal is at a principal axis angle of 90° (i.e., the middle stable section), and the measured extreme pressure value is 1.6 MPa, while the standard reference pressure value corresponding to this angle is 1.5 MPa, then the relative pressure deviation is 1.6 MPa - 1.5 MPa = 0.1 MPa. Since the current operating phase is the intermediate stable phase, the corresponding deviation conversion weight is obtained, for example, set to 0.3. Finally, the relative pressure deviation of 0.1MPa is multiplied by the deviation conversion weight of 0.3 to obtain the deviation contribution of 0.03. Through the above technical solution, this application can accurately quantify the contribution of the pressure fluctuation signal to the deviation of the latitude alignment result according to the operating stage of the pressure fluctuation signal, thereby providing a more accurate basis for subsequent latitude status assessment and operating parameter control. Optionally, after the step of obtaining the deviation conversion weight corresponding to the operating stage based on the operating stage of the pressure fluctuation signal, the following steps are included: Calculate the statistical expectation value of historical injection pressure data within a preset time period. When the deviation between the statistical expectation value and the preset standard reference pressure value exceeds the preset drift threshold, update the statistical expectation value to the new preset standard reference pressure value and simultaneously adjust the first preset weight and the second preset weight. The preset duration refers to the length of time used to accumulate historical jet pressure data. Specifically, it can be a fixed time period, such as the past 24 hours or the past week, or a fixed number of latitude cycles, such as the most recent 10 latitude cycles. Historical injection pressure data refers to all injection pressure measurements recorded within a preset time period. Specifically, this can be achieved by using pressure readings collected in real time by sensors and stored in a database. The statistical expected value refers to the average value of historical injection pressure data over a preset time period. This can be achieved using statistical methods such as arithmetic mean, weighted average, or moving average. For example, the arithmetic mean of all historical injection pressure data can be calculated to obtain a representative average pressure level. The preset standard reference pressure value refers to the benchmark pressure value used to calculate the relative pressure deviation. Specifically, it can be the initial value set during the loom debugging stage, and dynamically updated according to the drift situation during subsequent operation. Deviation refers to the difference between the statistical expected value and the preset standard reference pressure value, which can be expressed as the absolute value of the difference between the two. The preset drift threshold is a critical value used to determine whether pressure drift has occurred. It can be a fixed value set based on experience, experimentation, or system stability requirements. For example, it can be set to 0.1 MPa; when the deviation exceeds this value, pressure drift is considered to have occurred. The new preset standard reference pressure value refers to the updated value used to replace the original preset standard reference pressure value after pressure drift is detected. Specifically, it can be achieved by directly assigning the calculated statistical expectation value to the preset standard reference pressure value. Synchronously adjusting the first and second preset weights refers to modifying the two thresholds used to determine the deviation conversion weights while updating the preset standard reference pressure value. This can be achieved by proportionally adjusting the thresholds based on the ratio between the new and existing preset standard reference pressure values, or by non-linearly adjusting them according to preset adjustment rules. For example, if the new reference pressure value is 5% higher than the old one, the first and second preset weights can be increased by 5% accordingly to maintain their relative relationship and function. During the operation of the water jet loom, jet pressure data is continuously collected. A pressure benchmark calibration process is triggered every 24 hours. In this process, the arithmetic mean of all jet pressure data over the past 24 hours is first calculated as the statistical expectation value. Then, this statistical expectation value is compared with the currently used preset standard reference pressure value. If the absolute deviation between the two exceeds a preset drift threshold, for example, 0.05 MPa, the water supply system is considered to have experienced pressure drift. At this time, the statistical expectation value is updated to the new preset standard reference pressure value. Simultaneously, to adapt to the new pressure benchmark, the first and second preset weights are adjusted synchronously. For example, if the new preset standard reference pressure value increases by 2% compared to the old value, then the first and second preset weights will also increase by 2% accordingly to maintain their relative proportional relationship. Through the above technical solution, this application solves the problem of slow pressure drift in the water supply system that may occur during long-term operation of water jet looms, improves the accuracy of deviation contribution calculation, and makes the assessment and parameter control of weft insertion status more accurate and timely, avoiding the assessment lag or inaccuracy caused by the fixed preset standard reference pressure value and deviation conversion weight. Optionally, the steps for evaluating the weft insertion state based on the deviation contribution include: The absolute value of the deviation contribution is compared with the preset invalid filtering threshold; If the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the pressure fluctuation signal is determined to be invalid interference and no weft insertion state evaluation result is output. If the absolute value of the deviation contribution is greater than or equal to the preset invalid filtering threshold, the absolute value of the deviation contribution is determined as a valid deviation signal, and all valid deviation signals in the current weft insertion cycle are algebraically accumulated to obtain a comprehensive weft insertion deviation index, which is used as the weft insertion status evaluation result. This specific implementation scheme introduces an invalid filtering threshold mechanism to distinguish between tolerable minor fluctuations in the process and actual deviations that need to be controlled. The preset invalid filtering threshold can be set based on the weaving process's tolerance for weft thread positioning accuracy. For example, the allowable pressure deviation range can be deduced from the fabric density tolerance requirements, and the corresponding deviation contribution is used as the threshold value. When the absolute value of the deviation contribution generated by a pressure fluctuation is lower than this threshold, the fluctuation is determined to be a harmless pulsation or measurement noise within the process's allowable range, and is filtered out without triggering subsequent control actions, thereby avoiding frequent oscillations of the actuator. Conversely, when the absolute value of the deviation contribution reaches or exceeds the threshold, it is marked as a valid deviation signal. By introducing an invalid filtering threshold, a balance is achieved between interference suppression and effective signal extraction. Deviations smaller than the threshold are considered minor fluctuations that do not affect the final fabric quality and are not responded to; deviations greater than or equal to the threshold are considered genuine anomalies, thus improving control stability while ensuring control accuracy. Simultaneously, by algebraically accumulating the effective deviation signals, the comprehensive weft insertion deviation index can fully reflect the overall deviation trend within a single weft insertion cycle, providing a reliable foundation for precise control. Optionally, the steps of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results include: When the absolute value of the comprehensive weft insertion deviation index exceeds the preset deviation threshold, the frequency increment of the water pump drive motor or the opening adjustment of the proportional regulating valve of the water supply system is calculated based on the comprehensive weft insertion deviation index, and the operation of the water jet loom is controlled based on the frequency increment or opening adjustment. This specific implementation plan converts the comprehensive weft deviation index into a physical adjustment quantity for the water supply system, achieving closed-loop control from assessment to execution. When the absolute value of the comprehensive weft deviation index exceeds a preset deviation threshold, it indicates that there is a systemic deviation in the current weft cycle that needs to be corrected. Based on the magnitude and sign of the deviation index, the corresponding adjustment quantity is calculated. If a water pump-driven motor is used for regulation, a proportional relationship between the deviation index and the frequency increment can be established. If a proportional control valve is used, a mapping relationship between the deviation index and the valve opening adjustment can be established. By fine-tuning the valve opening, the nozzle inlet pressure can be quickly adjusted without changing the main pump speed, achieving more precise control. In one embodiment, a feedforward compensation strategy is employed. After calculating the comprehensive weft insertion deviation index in the current weft insertion cycle, the adjustment amount is immediately calculated and executed at the predetermined implementation time in subsequent weft insertion cycles to correct the deviation in advance. The calculation of the adjustment amount also needs to consider the response delay. If the change in pump speed to pressure stabilization requires a delay time, the corresponding advance implementation angle or advance implementation time can be calculated based on the current spindle speed and weft insertion cycle sequence to ensure that the pressure adjustment takes effect at the required stage. The calculated frequency increment or opening adjustment amount can be limited to ensure that the single adjustment step size does not exceed the preset safety range. By quantifying the comprehensive weft insertion deviation index into pump frequency increments or valve opening adjustments, this specific implementation scheme establishes a closed-loop control path from deviation identification to physical execution. A feedforward compensation mechanism enables timely control responses, correcting deviations before they affect subsequent weft insertions. This precise control based on evaluation results ensures a high degree of matching between water supply pressure and weft insertion requirements, effectively eliminating weft insertion deviations caused by pressure fluctuations, thereby maintaining continuous uniformity of fabric density during high-speed steady-state weaving. Optionally, if the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the step of controlling the operating parameters of the water jet loom based on the weft insertion status evaluation result further includes: The deviation contribution amount and its sign for those whose absolute value is less than the preset invalid filtering threshold are stored in the preset accumulation storage area; When a preset number of consecutive deviation contributions in the preset accumulation storage area have the same positive or negative sign, the preset number of consecutive deviation contributions with the same positive or negative sign are algebraically accumulated. When the absolute value of the accumulated algebraic sum exceeds the preset accumulation trigger threshold, the algebraic sum is forcibly incorporated into the comprehensive weft insertion deviation index of the current weft insertion cycle, and the preset accumulation storage area is cleared. The pressure benchmark correction value is calculated based on the comprehensive weft insertion deviation index, and the operating frequency of the water pump drive motor of the water supply system is trend-compensated according to the pressure benchmark correction value. The deviation contribution refers to the degree of influence of the pressure fluctuation signal on the weft insertion result. When its absolute value is less than the preset invalid filtering threshold, it means that the fluctuation signal is considered invalid interference that is insufficient to directly affect the weft insertion state within a single weft insertion cycle. Specifically, this can be achieved by comparing the calculated deviation contribution with a preset value. For example, when the absolute value of the deviation contribution is less than 0.05, it is judged as invalid interference. The preset accumulation storage area refers to the storage unit used to temporarily store the deviation contribution amount and its sign of these determined invalid interferences. Specifically, it can be implemented using data structures such as circular buffers, queues or lists. For example, a fixed-size array can be used to store the invalid deviation contribution amount of the most recent N weft insertion cycles. The consecutive preset number refers to the number of consecutive deviation contributions with the same positive or negative sign that need to appear in the preset accumulation storage area. Specifically, it can be implemented using a counter or a sliding window mechanism. For example, setting the consecutive preset number to 3 means that when 3 consecutive deviation contributions are all positive or all negative, the accumulation operation is triggered. Algebraic summation refers to summing consecutive deviation contributions with the same positive or negative sign according to their numerical value and sign. This can be achieved using simple addition. For example, if three consecutive deviation contributions are +0.01, +0.02, and +0.01, the algebraic summation result is +0.04. The cumulative trigger threshold refers to a threshold value used to determine whether the accumulated algebraic sum has reached a level requiring compensation. Specifically, it can be implemented using a preset value; for example, the compensation mechanism is triggered when the absolute value of the accumulated algebraic sum exceeds 0.1. The comprehensive weft insertion deviation index is an index that reflects the cumulative effect of all effective deviation signals within the current weft insertion cycle. Specifically, it can be achieved by combining the algebraic sum of the accumulated signals with other effective deviation signals within the current weft insertion cycle. For example, the accumulated sum can be directly added to the existing comprehensive weft insertion deviation index. The pressure reference correction value refers to the correction amount used to adjust the operating frequency of the water pump drive motor in the water supply system. Specifically, it can be calculated based on the comprehensive weft deviation index using a proportional-integral-derivative (PID) control algorithm. For example, the correction value is proportional to the comprehensive weft deviation index. The operating frequency of a water pump drive motor refers to a parameter that controls the pump speed and thus affects the water supply pressure. Specifically, a frequency converter can be used to adjust the motor's operating frequency. For example, the pump speed can be increased or decreased by increasing or decreasing the output frequency of the frequency converter. Trend compensation refers to the continuous and directional adjustment of the operating frequency of the water pump drive motor based on the small deviations accumulated over a long period of time. Specifically, it can be achieved by slowly adjusting the reference operating frequency of the water pump drive motor. For example, every once in a while, the set frequency of the water pump is finely adjusted according to the direction and magnitude of the accumulated deviation. During the operation of a water jet loom, assuming the preset invalid filtering threshold is 0.05, the cumulative trigger threshold is 0.1, and the consecutive preset number is 5, in a certain weft insertion cycle, the calculated deviation contribution is +0.03, whose absolute value is less than 0.05, and therefore it is judged as invalid interference. This deviation contribution and its positive sign are stored in the preset cumulative storage area. In the next four weft insertion cycles, the deviation contributions are calculated sequentially as +0.02, +0.04, +0.03, and +0.02, all with absolute values ​​less than 0.05 and positive signs. These deviation contributions and their signs are also stored sequentially in a preset accumulation storage area. At this point, the five consecutive deviation contributions in the preset accumulation storage area all have the same positive sign. The algebraic sum of these five deviation contributions is +0.03 + 0.02 + 0.04 + 0.03 + 0.02 = +0.14. The absolute value of the accumulated algebraic sum, 0.14, exceeds the preset accumulation trigger threshold of 0.1. Therefore, this algebraic sum + 0.14 is forcibly incorporated into the comprehensive weft insertion deviation index for the current weft insertion cycle. For example, if the comprehensive weft insertion deviation index for the current weft insertion cycle is 0.08, then the updated comprehensive weft insertion deviation index becomes 0.08 + 0.14 = 0.22. At the same time, the preset accumulation storage area is cleared. Based on the updated comprehensive weft deviation index of 0.22, the pressure reference correction value is calculated. For example, based on a proportionality coefficient K=0.5, the pressure reference correction value is calculated to be 0.22*0.5=0.11. Finally, based on this pressure reference correction value of 0.11, the operating frequency of the water pump drive motor in the water supply system is compensated for. For example, if the current operating frequency of the water pump drive motor is 50Hz, its operating frequency is finely adjusted to 50Hz + 0.11Hz = 50.11Hz to offset the long-term accumulated positive pressure deviation and maintain the long-term stability of the injection pressure. Through the above technical solution, this application can promptly detect and compensate for long-term accumulated micro-deviations by accumulating, algebraically adding, and compensating for the contribution of micro-deviations, thereby maintaining the long-term stability of the injection pressure, ensuring the accuracy of the weft yarn arrival result, and ultimately improving the uniformity of the fabric density. Optionally, after performing the step of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results, the process includes: When the jet pressure data or spindle running angle remains unchanged or exceeds the preset limit range for multiple consecutive weft insertion cycles, the water jet loom will be switched to the preset safe pressure holding mode and a shutdown alarm signal will be generated. By introducing anomaly detection and safety protection mechanisms, the system can respond to situations such as sensor failure or signal anomalies, and effectively monitor the injection pressure data and spindle operating angle in real time. For the jet pressure data, it is checked whether it remains constant over multiple consecutive weft insertion cycles. Since pressure usually fluctuates during actual weaving, constant data over multiple cycles typically indicates a malfunction in the pressure sensor or a failure in the data acquisition system. Simultaneously, it is checked whether the pressure value exceeds a preset limit range. When any of the above abnormalities are detected, safety protection actions are immediately executed: the closed-loop control logic based on the actual weft insertion status assessment is cut off, the water supply system is switched to the preset safety pressure holding mode, and a shutdown alarm signal is sent to the machine main control system to trigger the safe shutdown of the loom, preventing fabric scrap or equipment damage caused by blind operation. In one embodiment, the setting of the safety pressure-holding mode can be determined according to the machine safety specifications and the water supply system structure. One implementation method is to maintain the water supply system at a preset safety pressure, wherein the setting is within a safe range that does not trigger normal weft insertion and can maintain the basic stability of the pipeline; another implementation method is to shut down the water pump and control the opening of the pressure relief passage, so that the water supply system enters a depressurization state. The specific method adopted can be configured according to the water pump type, pipeline volume, and nozzle structure. By introducing an anomaly detection mechanism, dangerous conditions can be identified and protective actions can be triggered in a timely manner when sensors fail, signals are abnormal, or data acquisition systems malfunction. This switches the system from closed-loop control to a safe state, effectively avoiding control instability, equipment damage, and batch quality accidents caused by incorrect input information, and ensuring safe production in high-speed weaving environments. Secondly, see Figure 2This application also proposes a water jet loom operation process parameter control system for executing the aforementioned water jet loom operation process parameter control method, the system comprising: The data acquisition module 210 is used to acquire the jet pressure data and spindle running angle of the water jet loom; The cycle determination module 220 is used to determine the weft insertion cycle of the water jet loom based on the spindle running angle; The stage positioning module 230 is used to align the jet pressure data with the weft insertion cycle in order to locate the operating stage of the pressure fluctuation signal caused by water supply in the weft insertion cycle. The deviation determination module 240 is used to determine the deviation contribution of the pressure fluctuation signal to the latitude positioning result based on the operation phase. The parameter control module 250 is used to evaluate the weft insertion status based on the deviation contribution and to execute the operating parameter control of the water jet loom according to the weft insertion status evaluation result. This system architecture enables a modular design of the entire process, from data acquisition, cycle determination, stage positioning, deviation calculation to parameter control. The modules work together to ensure precise control of the water jet loom's operation, demonstrating high engineering feasibility and robustness. The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for controlling the operating parameters of a water-jet loom, characterized in that, The method includes: Obtain the jet pressure data and spindle running angle of the water jet loom; The weft insertion cycle of the water jet loom is determined based on the spindle running angle. Align the jet pressure data with the weft insertion cycle to pinpoint the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle; Based on the aforementioned operational phase, the contribution of the pressure fluctuation signal to the deviation of the latitude alignment result is determined; Based on the deviation contribution, the weft insertion status is evaluated, and the operating parameters of the water jet loom are controlled according to the weft insertion status evaluation results.

2. The method for controlling the operating parameters of a water-jet loom according to claim 1, characterized in that, The step of determining the weft insertion cycle of the water jet loom based on the spindle running angle includes: Establish a mapping relationship between the angle value of the main shaft running angle and the time sequence nodes of the weft insertion cycle, so as to map the weft insertion cycle into a continuous time sequence interval arranged along the increasing direction of the main shaft running angle; The continuous time interval is divided into multiple continuous operation stages, which include an initial acceleration stage, an intermediate stabilization stage, and an end-positioning stage. The initial acceleration stage corresponds to the spindle running angle range after the nozzle of the water jet loom is opened, in which the water flow impacts and accelerates the weft yarn to a preset speed. The intermediate stabilization stage corresponds to the spindle running angle range in which the weft yarn maintains a preset stable flight state. The end-positioning stage corresponds to the spindle running angle range in which the weft yarn reaches a preset position.

3. The method for controlling the operating parameters of a water-jet loom according to claim 2, characterized in that, The step of aligning the jet pressure data with the weft insertion cycle to locate the operational phase of the pressure fluctuation signal caused by water supply within the weft insertion cycle includes: Each of the injection pressure data points is associated with the angle value of the spindle operating angle; Using the angle value of the spindle running angle as an index, each jet pressure data is mapped to the corresponding time sequence position in the weft insertion cycle; Calculate the rate of change of the injection pressure data. When the sign of the rate of change changes from positive to negative or from negative to positive, determine the injection pressure data point corresponding to the zero-crossing point of the rate of change as the extreme point of the pressure fluctuation signal, and record the angle value of the spindle running angle corresponding to the extreme point. The angle value of the spindle running angle corresponding to the extreme point is compared with the boundary angle value of each running stage, and the running stage of the pressure fluctuation signal is determined according to the comparison result.

4. The method for controlling the operating parameters of a water-jet loom according to claim 3, characterized in that, The step of determining the contribution of the pressure fluctuation signal to the deviation of the latitude alignment result based on the operation phase includes: The difference between the pressure value corresponding to the extreme point and the preset standard reference pressure value corresponding to the current spindle operating angle is calculated as the relative pressure deviation; Based on the operating stage of the pressure fluctuation signal, the deviation conversion weight corresponding to the operating stage is obtained. When the operating stage is the initial acceleration stage or the final arrival stage, the deviation conversion weight is a first preset weight. When the operating stage is the intermediate stabilization stage, the deviation conversion weight is a second preset weight. The first preset weight is greater than the second preset weight. The relative pressure deviation is multiplied by the deviation conversion weight to obtain the deviation contribution.

5. The method for controlling the operating parameters of a water-jet loom according to claim 4, characterized in that, After the step of obtaining the deviation conversion weight corresponding to the operating stage based on the operating stage of the pressure fluctuation signal, the following is included: Calculate the statistical expectation value of historical injection pressure data within a preset time period. When the deviation between the statistical expectation value and the preset standard reference pressure value exceeds a preset drift threshold, update the statistical expectation value to the new preset standard reference pressure value and simultaneously adjust the first preset weight and the second preset weight.

6. The method for controlling the operating parameters of a water-jet loom according to claim 4, characterized in that, The step of evaluating the weft insertion state based on the deviation contribution includes: The absolute value of the deviation contribution is compared with a preset invalid filtering threshold; If the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the pressure fluctuation signal is determined to be invalid interference, and the weft insertion state evaluation result is not output. If the absolute value of the deviation contribution is greater than or equal to the preset invalid filtering threshold, then the absolute value of the deviation contribution is determined as a valid deviation signal, and all valid deviation signals in the current weft insertion cycle are algebraically accumulated to obtain a comprehensive weft insertion deviation index, which is used as the weft insertion status evaluation result.

7. The method for controlling the operating parameters of a water-jet loom according to claim 6, characterized in that, The step of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results includes: When the absolute value of the comprehensive weft insertion deviation index exceeds the preset deviation threshold, the frequency increment of the water pump drive motor of the water supply system or the opening adjustment of the proportional regulating valve is calculated based on the comprehensive weft insertion deviation index, and the operation of the water jet loom is controlled based on the frequency increment or the opening adjustment.

8. The method for controlling the operating parameters of a water-jet loom according to claim 6, characterized in that, If the absolute value of the deviation contribution is less than the preset invalid filtering threshold, the step of controlling the operating parameters of the water jet loom based on the weft insertion status evaluation result further includes: The deviation contribution amount and its sign for those whose absolute value is less than the preset invalid filtering threshold are stored in the preset accumulation storage area; When a preset number of consecutive deviation contributions in the preset accumulation storage area have the same positive or negative sign, the preset number of consecutive deviation contributions with the same positive or negative sign are algebraically accumulated. When the absolute value of the accumulated algebraic sum exceeds the preset accumulation trigger threshold, the algebraic sum is forcibly incorporated into the comprehensive weft insertion deviation index of the current weft insertion cycle, and the preset accumulation storage area is cleared. The pressure reference correction value is calculated based on the comprehensive weft insertion deviation index, and the operating frequency of the water pump drive motor of the water supply system is trend-compensated according to the pressure reference correction value.

9. The method for controlling the operating parameters of a water-jet loom according to claim 1, characterized in that, After the step of controlling the operating parameters of the water jet loom based on the weft insertion status assessment results, the following steps are included: When the jet pressure data or the spindle running angle remains unchanged or exceeds the preset limit range within multiple consecutive weft insertion cycles, the water jet loom is switched to the preset safety pressure holding mode, and a shutdown alarm signal is generated.

10. A water-jet loom operation process parameter control system, used to execute the water-jet loom operation process parameter control method as described in any one of claims 1 to 9, characterized in that, The system includes: The data acquisition module is used to acquire the jet pressure data and spindle running angle of the water jet loom; The cycle determination module is used to determine the weft insertion cycle of the water jet loom based on the spindle running angle; The stage positioning module is used to align the jet pressure data with the weft insertion cycle in order to locate the operating stage of the pressure fluctuation signal caused by water supply in the weft insertion cycle. The deviation determination module is used to determine the deviation contribution of the pressure fluctuation signal to the latitude alignment result based on the operation phase. The parameter control module is used to evaluate the weft insertion status based on the deviation contribution amount, and to execute the operating parameter control of the water jet loom according to the weft insertion status evaluation result.

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