CN-121295427-B - Towel weaving equipment fault diagnosis system and method

Abstract

The invention relates to the technical field of towel weaving, in particular to a towel weaving equipment fault diagnosis system and method; the system comprises an insertion phase analysis unit, a conflict inversion isolation unit, a coupling state diagnosis unit, a mapping state machine and an abnormal closed loop compensation control unit, wherein the insertion phase analysis unit establishes a weft phase relation analysis model and establishes a disturbance state constraint set, the disturbance state constraint set is solved and judged by combining a logic constraint solving mechanism, an insertion sequence abnormal signal is generated, the conflict inversion isolation unit calculates a potential conflict area based on a space-time projection relation between a beating-up track and a weft track, a nozzle in a conflict prediction interval is marked and a conflict source isolation signal is output, the coupling state diagnosis unit establishes a mapping state machine and determines the fault type of weaving equipment according to the mapping state machine, and the abnormal closed loop compensation control unit is used for dynamically adjusting the triggering time sequence and beating-up beat delay compensation parameters of the nozzle in the conflict prediction interval. The invention realizes the accurate diagnosis of the multi-weft misplacement fault of towel weaving equipment and improves the stability of the weaving process and the quality of the finished fabric.

Inventors

• LIU HONG
• LIU JIAQI

Assignees

• 河北柏立信家纺股份有限公司

Dates

Publication Date

20260512

Application Date

20251020

Claims (4)

1. 1. A towel weaving apparatus fault diagnosis system, comprising: The inserting phase analysis unit (1), the inserting phase analysis unit (1) is used for collecting the historical inserting initial time sequence and the inserting path arrival time sequence of each weft yarn in the inserting process, establishing a weft yarn phase relation analysis model and establishing a disturbance state constraint set, solving and judging the disturbance state constraint set by combining a logic constraint solving mechanism, and generating an inserting sequence abnormal signal; In the insertion phase analysis unit (1), a weft yarn phase relation analysis model is constructed by using a time sequence phase disturbance segmentation decoupling reconstruction algorithm based on a historical insertion starting time sequence and an insertion path arrival time sequence of each weft yarn in an insertion process, an insertion phase difference matrix of a plurality of weft yarns is constructed, and a phase disturbance characteristic set of the plurality of weft yarns is output and used for identifying local insertion time sequence disturbance and insertion sequence change of each weft yarn; The time sequence phase disturbance segmentation decoupling reconstruction algorithm is based on a time sequence signal segmentation analysis and phase mapping reconstruction technology, performs segmentation processing and disturbance signal decoupling operation on a historical insertion starting time sequence and an insertion path arrival time sequence of each weft yarn, performs phase mapping reconstruction after segmentation processing, constructs an insertion phase difference matrix of a plurality of weft yarns, and identifies a local insertion time sequence disturbance output insertion phase difference matrix of a plurality of weft yarns; the insertion phase difference matrix is used for calculating a phase difference distribution rule, a phase stability boundary and a disturbance trend track of the plurality of weft yarns in the insertion process and outputting a phase disturbance characteristic set of the plurality of weft yarns; The phase disturbance feature set comprises an insertion phase offset feature, an insertion sequence dislocation rate feature and an insertion period fluctuation degree feature, and is used for monitoring the sequence relation misorder condition of each weft yarn in the insertion process; In the insertion phase analysis unit (1), a disturbance state constraint set is a multidimensional constraint description set obtained by calculation based on a phase disturbance characteristic set and is used for judging whether disturbance causes unbalance of a phase relation and abnormal insertion sequence of multi-weft insertion or not through constraint when local insertion time sequence disturbance occurs; in the insertion phase analysis unit (1), a logic constraint solving mechanism is a rule constructed based on a disturbance state constraint set and a constraint solution space, and a constraint solver is utilized to carry out feasibility and conflict solving on the disturbance state constraint set and is used for judging whether local insertion time sequence disturbance causes the constraint solution space to be infeasible; the logic constraint solving mechanism solves and judges the disturbance state constraint set, and the logic constraint solving mechanism comprises the following specific steps: Converting the disturbance state constraint set into a plurality of logic constraint conditions and constructing a constraint solution space; the method comprises the steps of taking a phase disturbance feature set as input, carrying out feasibility and conflict solution on a plurality of logic constraint conditions, judging that a constraint solution space is feasible due to local insertion time sequence disturbance when a detection result meets all logic constraint conditions, and outputting no insertion sequence abnormal signal; The conflict inversion isolation unit (2), the conflict inversion isolation unit (2) calculates a potential conflict area based on the space-time projection relation between the beating-up track and the weft track, performs inversion positioning on the potential conflict area to determine a conflict prediction interval, marks nozzles in the conflict prediction interval and outputs a conflict source isolation signal; the coupling state diagnosis unit (3), the coupling state diagnosis unit (3) is used for receiving the insertion sequence abnormal signal and the conflict source isolation signal, establishing a mapping state machine based on the state mapping relation between the insertion disturbance state and the beating-up impact mode, and determining the fault type of the weaving equipment according to the mapping state machine; The abnormal closed loop compensation control unit (4) is used for dynamically adjusting the triggering time sequence and the beating-up beat delay compensation parameters of the nozzles in the conflict prediction interval.
2. 2. The towel weaving equipment fault diagnosis system according to claim 1, characterized in that in the conflict inversion isolation unit (2), the space-time projection relationship of the beating-up track and the weft yarn track is based on the track projection mapping relationship of the beating-up impact path and the multi-weft yarn insertion motion path under a unified space-time coordinate system; the potential conflict area refers to a space section where the beating-up track and any two weft yarn insertion tracks overlap in space-time projection and the distance is smaller than a preset safety distance threshold value; The method comprises the steps of carrying out inversion positioning on a potential conflict area to determine a conflict prediction interval, marking nozzles in the conflict prediction interval and outputting conflict source isolation signals, and specifically comprises the steps of extracting a time interval and a space coordinate interval corresponding to the potential conflict area in a unified space-time coordinate system, calculating time expansion rate and space expansion rate of the conflict area along the weft insertion direction respectively based on boundary change rates of the potential conflict area on a time axis and a space coordinate axis, reversely tracing an insertion path along a track based on the propagation direction and action duration of the potential conflict area, positioning nozzle numbers and time stamps corresponding to a conflict propagation starting position to form the conflict prediction interval, marking the nozzles in the conflict prediction interval, generating the conflict source isolation signals and outputting the conflict source isolation signals to a coupling state diagnosis unit (3).
3. 3. The towel weaving equipment fault diagnosis system according to claim 2, characterized in that in the coupling state diagnosis unit (3), the state mapping relation of the insertion disturbance state and the beating-up impact mode is a disturbance impact corresponding relation established based on the insertion phase disturbance characteristic, the conflict prediction interval and the beating-up track impact distribution characteristic; The mapping state machine is constructed based on the disturbance impact corresponding relation and the historical fault event set and is used for carrying out state matching on the inserted disturbance state and the beating-up impact mode after receiving the insertion sequence abnormal signal and the conflict source isolation signal, and outputting the fault type of the weaving equipment.
4. 4. A towel weaving equipment fault diagnosis method for a towel weaving equipment fault diagnosis system as claimed in any one of claims 1 to 3, characterized by comprising the steps of: S10.1, collecting a historical insertion starting time sequence and an insertion path arrival time sequence of each weft yarn in an insertion process, establishing a weft yarn phase relation analysis model, constructing a disturbance state constraint set, solving and judging the disturbance state constraint set by combining a logic constraint solving mechanism, and generating an insertion sequence abnormal signal; s10.2, calculating a potential conflict area based on the space-time projection relation of the beating-up track and the weft track, inverting and positioning the potential conflict area to determine a conflict prediction interval, marking nozzles in the conflict prediction interval and outputting a conflict source isolation signal; S10.3, establishing a mapping state machine based on a state mapping relation between an insertion disturbance state and a beating-up impact mode according to the insertion sequence abnormal signal and the conflict source isolation signal, and determining the fault type of weaving equipment according to the mapping state machine; s10.4, dynamically adjusting the triggering time sequence and the beating-up beat delay compensation parameters of the nozzles in the conflict prediction interval.

Description

Towel weaving equipment fault diagnosis system and method Technical Field The invention relates to the technical field of towel weaving, in particular to a towel weaving equipment fault diagnosis system and method. Background In towel weaving production, weft insertion and beating-up are key processes for realizing fabric forming, high-speed continuous insertion of a plurality of weft yarns is usually realized by an air injection or rapier mode, and weaving port forming and weft yarn compaction are finished by utilizing a beating-up mechanism; In the actual production process, the following two core technical problems that the existing monitoring system cannot effectively solve are that firstly, because of individual difference and drift of response time of an electromagnetic valve group for controlling multi-weft insertion or because of occasional asynchronism of communication time sequence between a main controller and a weft accumulator, the actual release sequence of weft yarns is abnormal with a preset electronic instruction, a hidden fault of equipment for multi-weft wrong sequence insertion is generated, and secondly, when the hidden fault of the equipment for multi-weft wrong sequence insertion is not detected, mechanical conflict of a downstream beating-up mechanism is directly caused, spatial superposition and interference of wrong weft yarns occur before reed, so that stress of reed teeth is abnormal, vibration is aggravated, weft yarn extrusion damage is caused, and a fabric defect is formed. Disclosure of Invention The invention aims to provide a fault diagnosis system and method for towel weaving equipment, which are used for solving the core technical problems that two existing monitoring systems in the background art cannot effectively solve. To achieve the above object, an object of the present invention is to provide a towel weaving apparatus failure diagnosis system, comprising: The inserting phase analysis unit is used for collecting a historical inserting starting time sequence and an inserting path arrival time sequence of each weft yarn in the inserting process, establishing a weft yarn phase relation analysis model, constructing a disturbance state constraint set, solving and judging the disturbance state constraint set by combining a logic constraint solving mechanism, and generating an inserting sequence abnormal signal; The conflict inversion isolation unit is used for calculating a potential conflict area based on the space-time projection relation between the beating-up track and the weft track, carrying out inversion positioning on the potential conflict area to determine a conflict prediction interval, marking nozzles in the conflict prediction interval and outputting a conflict source isolation signal; The coupling state diagnosis unit is used for receiving the insertion sequence abnormal signal and the conflict source isolation signal, establishing a mapping state machine based on the state mapping relation between the insertion disturbance state and the beating-up impact mode, and determining the fault type of the weaving equipment according to the mapping state machine; The abnormal closed-loop compensation control unit is used for dynamically adjusting the triggering time sequence of the nozzle and the beat delay compensation parameter in the conflict prediction interval. Preferably, in the insertion phase analysis unit, the weft yarn phase relation analysis model is constructed by using a time sequence phase disturbance segmentation decoupling reconstruction algorithm based on a historical insertion start time sequence and an insertion path arrival time sequence of each weft yarn in an insertion process, an insertion phase difference matrix of a plurality of weft yarns is constructed, and a phase disturbance feature set of the plurality of weft yarns is output for identifying local insertion time sequence disturbance and insertion sequence change of each weft yarn; The time sequence phase disturbance segmentation decoupling reconstruction algorithm is based on a time sequence signal segmentation analysis and phase mapping reconstruction technology, performs segmentation processing and disturbance signal decoupling operation on a historical insertion start time sequence and an insertion path arrival time sequence of each weft yarn, performs phase mapping reconstruction after segmentation processing, constructs an insertion phase difference matrix of a plurality of weft yarns, and identifies a local insertion time sequence disturbance output insertion phase difference matrix of a plurality of weft yarns. Preferably, the insertion phase difference matrix is used for calculating a phase difference distribution rule, a phase stability boundary and a disturbance trend track of the plurality of weft yarns in the insertion process, and outputting a phase disturbance feature set of the plurality of weft yarns; The phase disturbance feature set comprises an insertion phase offset