Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to FIG. 1, the invention provides an intelligent monitoring early warning regulation system for preventing breakage of textile yarn transportation, which comprises a device detection analysis module, a textile yarn segmentation module, a textile yarn detection analysis module, a textile yarn transportation process detection module, a textile yarn transportation process analysis module, an early warning regulation terminal and an information storage library. The device detection analysis module is connected with the textile yarn segmentation module, the textile yarn segmentation module is connected with the textile yarn detection analysis module, the textile yarn detection analysis module is connected with the textile yarn conveying process detection module, the textile yarn conveying process detection module is connected with the textile yarn conveying process analysis module, the textile yarn conveying process analysis module is connected with the early warning regulation terminal, the early warning regulation terminal is respectively connected with the device detection analysis module and the textile yarn conveying process analysis module, and the information storage library is respectively connected with the device detection analysis module, the textile yarn segmentation module and the textile yarn detection analysis module.
The device detection analysis module is used for marking each type of corresponding device for conveying textile yarns as each type of corresponding appointed device, acquiring operation information parameters of each type of corresponding appointed device, and analyzing operation evaluation conditions of each type of corresponding appointed device to obtain each type of corresponding early warning device.
As a preferable feasible example, the operation information parameters of the respective types corresponding to the respective specified apparatuses include surface roughness and operation feedback information.
It should be further noted that each of the types corresponds to each of the specified devices including, but not limited to, a yarn guide, a yarn guiding wheel, a yarn winding machine, and the like.
Wherein the operational feedback information includes vibration presence and equipment operational qualification.
The specific acquisition mode of the surface roughness of each specified device corresponding to each type is that the surface roughness of each specified device corresponding to each type is measured by a surface roughness meter.
The specific acquisition mode of the vibration existence and the equipment operation qualification of each appointed equipment corresponding to each type is that each appointed equipment corresponding to each type is measured by using a vibration detector, if a certain appointed equipment corresponding to each type vibrates, the vibration existence of the appointed equipment corresponding to each type is recorded as existence vibration, if a certain appointed equipment corresponding to each type does not vibrate, the vibration existence of the appointed equipment corresponding to each type is recorded as nonexistence vibration, and then the vibration existence of each appointed equipment corresponding to each type is obtained.
Before each type of corresponding appointed equipment starts to operate, trial operation is carried out on each type of corresponding appointed equipment, whether the operation temperature, the rotation speed control and the tension control of each type of corresponding appointed equipment are normal or not is detected, if the operation temperature, the rotation speed control and the tension control of a certain type of corresponding appointed equipment are all normal, the equipment operation qualification of the type of corresponding appointed equipment is marked as operation qualification, and if certain abnormality exists in the operation temperature, the rotation speed control and the tension control of a certain type of corresponding appointed equipment, the equipment operation qualification of the type of corresponding appointed equipment is marked as operation disqualification, and then the equipment operation qualification of each type of corresponding appointed equipment is obtained.
It is further explained that the specific operation of detecting whether the operation temperature, the rotation speed control and the tension control of each type corresponding to each specified device are normal is to test the operation of each type corresponding to each specified device by using test textile yarns before the transportation operation of each type corresponding to each specified device, and then to measure each type corresponding to each specified device by using the laid temperature sensor, speed sensor and tension sensor to obtain the operation temperature, the measured rotation speed under each rotation speed condition and the measured tension under each tension condition of each type corresponding to each specified device.
And respectively differentiating the operating temperature of each type of corresponding specified equipment from the standard operating temperature of each type of corresponding specified equipment stored in the information storage library to obtain the difference value between the operating temperature of each type of corresponding specified equipment and the standard operating temperature of the corresponding type, and if the difference value between the operating temperature of a certain type of corresponding specified equipment and the standard operating temperature of the corresponding type of corresponding specified equipment is within the allowable difference value range, marking the operating temperature of the type of corresponding changed specified equipment as normal, otherwise marking the operating temperature of the type of corresponding changed specified equipment as abnormal.
And respectively differentiating the measured rotating speeds under the rotating speed conditions of the specified devices corresponding to the types from the rotating speed conditions of the specified devices to obtain the difference value between the measured rotating speeds under the rotating speed conditions of the specified devices corresponding to the types and the corresponding rotating speed conditions, if the difference value between the measured rotating speed under the rotating speed conditions of the specified devices corresponding to the types and the corresponding rotating speed conditions is within the allowable difference value range, marking the measured rotating speed under the rotating speed conditions of the specified devices corresponding to the types as normal, otherwise marking the measured rotating speed under the rotating speed conditions of the specified devices corresponding to the types as abnormal, if the measured rotating speed under the rotating speed conditions of the specified devices corresponding to the types are all normal, marking the rotating speed control of the specified devices corresponding to the types as normal, and if the measured rotating speed under the rotating speed conditions of the specified devices corresponding to the types is abnormal, marking the rotating speed control of the specified devices corresponding to the types as abnormal.
And respectively differentiating the measured tension under the tension conditions of each appointed device corresponding to each type by the tension conditions of each appointed device to obtain a difference value between the measured tension under the tension conditions of each appointed device corresponding to each type and the corresponding tension condition, if the difference value between the measured tension under the tension condition of a certain appointed device corresponding to a certain type and the corresponding tension condition is within a permissible difference value range, marking the measured tension under the tension condition of the appointed device corresponding to the type as normal, otherwise marking the measured tension under the tension condition of the appointed device corresponding to the type as abnormal, marking the tension control of the appointed device corresponding to the type as normal if the measured tension under the tension condition of the appointed device corresponding to the certain type is normal, and marking the tension control of the appointed device corresponding to the type as abnormal if the measured tension under the tension condition of the appointed device corresponding to the certain type is abnormal.
As a preferred feasibility example, the operation evaluation coefficients of the specific devices corresponding to each type need to be constructed in the operation evaluation condition analysis process of the specific devices corresponding to each type, and the specific analysis comprises the steps of extracting the vibration existence of the specific devices corresponding to each type, if the vibration existence of the specific device corresponding to each type is vibration, recording the vibration feedback evaluation index of the specific device corresponding to each type as 0, if the vibration existence of the specific device corresponding to each type is vibration, recording the vibration feedback evaluation index of the specific device corresponding to each type as 1, and further obtaining the vibration feedback evaluation index of the specific device corresponding to each typeWherein,For each type of numbering it is possible to use,In order to be a number of types,
,For each number of the designated device(s),To specify the number of devices.
Extracting the equipment operation qualification of each type corresponding to each appointed equipment, if the equipment operation qualification of a certain type corresponding to a certain appointed equipment is operation qualification, marking the equipment operation qualification feedback evaluation index of the certain type corresponding to the appointed equipment as 1, if the equipment operation qualification of a certain type corresponding to a certain appointed equipment is operation disqualification, marking the equipment operation qualification feedback evaluation index of the certain type corresponding to the appointed equipment as 0, and further obtaining the equipment operation qualification feedback evaluation index of each type corresponding to each appointed equipment。
Extracting the surface roughness of each type corresponding to each specified equipment。
Analyzing operation evaluation coefficients of each type corresponding to each designated device
WhereinFor surface licensed roughness of devices extracted from information repositories,Is a natural constant.
The specific analysis method comprises the steps of extracting operation evaluation coefficients of the specified devices corresponding to the types, comparing the operation evaluation coefficients with a set operation evaluation coefficient threshold, if the operation evaluation coefficient of a specified device corresponding to a certain type is greater than or equal to the operation evaluation coefficient threshold, marking the operation evaluation condition of the specified device corresponding to the type as qualified, otherwise marking the operation evaluation condition of the specified device corresponding to the type as unqualified, and marking the specified device corresponding to the type as the early warning device.
And further obtaining the operation evaluation condition of each type of corresponding appointed equipment and each early warning equipment.
And the early warning regulation and control terminal is used for carrying out early warning and regulation on each early warning device corresponding to each type and each early warning conveying section corresponding to the target textile yarn.
As a preferable feasibility example, the specific operation of pre-warning and regulating each pre-warning device corresponding to each type comprises extracting each pre-warning device corresponding to each type, further analyzing the pre-warning reason of each pre-warning device corresponding to each type, and feeding back and pre-warning the pre-warning reason and the corresponding number.
The specific analysis mode of the early warning reasons of the early warning devices corresponding to the various types is that vibration feedback evaluation indexes, device operation qualification feedback evaluation indexes and surface roughness of the designated devices corresponding to the various types are respectively extracted, and if the vibration feedback evaluation index of a certain designated device corresponding to the certain type is 0, the device operation qualification feedback evaluation index of the certain type is 0, and the surface roughness of the certain type is greater than or equal to the surface allowable roughness of the device, the early warning reasons of the designated device corresponding to the certain type are marked as vibration, device operation disqualification and surface roughness.
If the vibration feedback evaluation index of a certain type corresponding to a certain designated device is 0, the device operation qualification feedback evaluation index of the certain type is 1, and the surface roughness of the certain type is larger than or equal to the surface allowable roughness of the device, the early warning reason of the type corresponding to the designated device is marked as vibration and surface roughness.
And if the vibration feedback evaluation index of a certain type corresponding to a certain designated device is 0, the device operation qualification feedback evaluation index of the vibration feedback evaluation index is 0, and the surface roughness of the vibration feedback evaluation index is smaller than the surface allowable roughness of the device, marking the early warning reason of the type corresponding to the designated device as vibration existence and device operation disqualification existence.
If the vibration feedback evaluation index of a certain type corresponding to a certain designated device is 1, the device operation qualification feedback evaluation index of the vibration feedback evaluation index is 0, and the surface roughness of the vibration feedback evaluation index is greater than or equal to the surface allowable roughness of the device, the early warning reason of the type corresponding to the designated device is marked as that the device operation disqualification and the surface roughness exist.
If the vibration feedback evaluation index of a certain type corresponding to a certain designated device is 1, the device operation qualification feedback evaluation index of the vibration feedback evaluation index is 0, and the surface roughness of the vibration feedback evaluation index is smaller than the surface allowable roughness of the device, the early warning reason of the type corresponding to the designated device is marked as that the device operation disqualification exists.
And if the vibration feedback evaluation index of a certain type corresponding to a certain designated device is 1, the device operation qualification feedback evaluation index of the vibration feedback evaluation index is 1, and the surface roughness of the vibration feedback evaluation index is greater than or equal to the surface allowable roughness of the device, marking the early warning reason of the type corresponding to the designated device as surface roughness.
Further, maintenance personnel regulate and control according to the early warning reasons of all types of corresponding early warning devices.
The specific operation of regulating and controlling according to the early warning reasons of the early warning devices corresponding to the various types is that if the early warning reason corresponding to a certain early warning device of a certain type is vibration, the machine is immediately stopped for checking, searching the vibration source, and timely damping and repairing.
If the early warning reason of a certain type corresponding to a certain early warning device is that the operation of the device is unqualified, the device is immediately stopped for maintenance, the expansion of faults is avoided, and the old and unstable-performance devices are considered to be upgraded and reformed so as to improve the operation qualification and the production efficiency of the device.
If the pre-warning reason of a certain type corresponding to a certain pre-warning device is surface roughness, immediately stopping the machine for checking, searching the rough position, and repairing or replacing the related parts in time.
According to the invention, the operation information parameters of each type of corresponding appointed equipment are obtained, the operation evaluation conditions of each type of corresponding appointed equipment are analyzed, the potential fault hidden trouble of the equipment is found in time, the breakage of textile yarns in the conveying process caused by equipment faults is avoided, the production safety is ensured, the utilization rate and the production efficiency of the equipment are also improved, and the defect rate of products is reduced.
And the textile yarn segmentation module is used for marking the textile yarns to be conveyed as target textile yarns, and further segmenting the target textile yarns according to a predefined principle to obtain the corresponding conveying segments of the target textile yarns.
As a preferred practical example, the specific content of the predefined principle that the target textile yarn is segmented to obtain the target textile yarn corresponding to each conveying section includes that the standard length of the conveying section of the target textile yarn in the conveying process is extracted from an information storage library, and the target textile yarn is segmented according to the standard length of the conveying section in the conveying process to obtain each subsection of the target textile yarn.
Extracting the number of conveying sections of the target textile yarn in the conveying process from the information storage library and numbering the conveying sections as,For the numbering of the various conveying sections,And for the number of the conveying sections, each subsection of the target textile yarn is circularly numbered according to the number of the conveying sections in the conveying process to obtain each circulating conveying section of the target textile yarn, and each conveying section of the target textile yarn, which is circularly conveyed at present, is further marked as each corresponding conveying section of the target textile yarn.
In a specific embodiment, if the number of the circulation in each conveying section of each circulation of the target textile yarn is 3 and the number of the conveying sections is 4, the circulation conveying sections of the target textile yarn are as shown in fig. 2.
Specifically, the first circulation conveying sections of the target textile yarn are marked as corresponding conveying sections of the target textile yarn, the second circulation conveying sections of the target textile yarn are marked as corresponding conveying sections of the target textile yarn after the first circulation conveying sections of the target textile yarn are conveyed, the third circulation conveying sections of the target textile yarn are marked as corresponding conveying sections of the target textile yarn after the second circulation conveying sections of the target textile yarn are conveyed, and the like, and the circulation conveying sections of the target textile yarn are marked as corresponding conveying sections of the target textile yarn in sequence.
The textile yarn detection and analysis module is used for acquiring basic information parameters of the target textile yarn corresponding to each conveying section and analyzing reference conveying parameters of the target textile yarn corresponding to each conveying section.
As a preferred example of a possibility, the basic information parameters of the target textile yarn for each transport section include fineness and uniformity.
The specific acquisition mode of the fineness and uniformity of the target textile yarns corresponding to the conveying sections is that microscopic images of the target textile yarns corresponding to the conveying sections are shot by using a laid microscope, and the fineness of the target textile yarns corresponding to the conveying sections is further obtained by using an image processing technology.
And measuring the corresponding conveying sections of the target textile yarns by using the distributed capacitance uniformity tester to obtain the uniformity of the corresponding conveying sections of the target textile yarns.
As a preferable practical example, the specific analysis method comprises extracting fineness and uniformity of the target textile yarn corresponding to each conveying section, respectively recorded asWherein,For the numbering of the various conveying sections,For the number of conveying sections, basic information evaluation coefficients of the target textile yarns corresponding to the conveying sections are analyzedWhereinFor the standard basic information extracted from the information repository the coefficients are evaluated,And evaluating the standard fineness and standard uniformity corresponding to the coefficients for standard basic information extracted from the information storage library respectively.
And respectively matching the basic information evaluation coefficients of the target textile yarns corresponding to the conveying sections with the basic information evaluation coefficient ranges of the reference conveying parameters in the information storage library to obtain the reference conveying parameters of the target textile yarns corresponding to the conveying sections.
According to the invention, the target textile yarns are segmented to obtain the corresponding conveying sections of the target textile yarns, and the reference conveying parameters of the corresponding conveying sections of the target textile yarns are analyzed, so that the conveying parameters of the target textile yarns are accurately controlled according to the conditions of the yarns corresponding to the conveying sections of the target textile yarns, breakage of the textile yarns caused by different fineness and uniformity of the same textile yarns but the same conveying parameters is avoided, accurate control of yarn quality is realized, stability and consistency of the yarns in subsequent processing are ensured, and quality of a final product is improved.
And the textile yarn conveying process detection module is used for detecting the target textile yarn corresponding to each conveying section in real time and acquiring the actual conveying parameters and conveying information parameters of the target textile yarn corresponding to each conveying section.
It should be further noted that a schematic diagram of the target textile yarn delivery process is shown in fig. 3.
As a preferred possible example, the reference and actual delivery parameters of the target textile yarn for each delivery segment include tension and speed.
The specific acquisition mode of the tension and the speed of the actual conveying parameters of the target textile yarns corresponding to the conveying sections is that the tension and the speed of the target textile yarns corresponding to the conveying sections are obtained by measuring the tension and the speed of the target textile yarns corresponding to the conveying sections by using the laid tension sensor and the speed sensor.
The conveying information parameters of the target textile yarns corresponding to the conveying sections comprise position offset and yarn fineness variation.
The specific obtaining method of the position offset and the yarn fineness variation of each conveying section corresponding to the target textile yarn includes that the arranged high-definition camera is utilized to shoot each conveying section corresponding to the target textile yarn to obtain images of each conveying section corresponding to the target textile yarn, and as shown in fig. 4, the images are further overlapped and compared with standard images of each conveying section corresponding to the target textile yarn to obtain offset of left and right boundary lines of the images of each conveying section corresponding to the target textile yarn and the textile yarn corresponding to the standard images and tiling width variation of the textile yarn.
And selecting the maximum offset from the offsets of the left and right boundary lines of the image of the target textile yarn corresponding to each conveying section and the textile yarn corresponding to the standard image as the position offset of the target textile yarn corresponding to each conveying section.
And (3) marking the change of the tiling width of the textile yarns of the image corresponding to each conveying section of the target textile yarn and the corresponding standard image as the change of the yarn fineness of each conveying section of the target textile yarn.
And the textile yarn conveying process analysis module is used for analyzing the conveying evaluation condition of the target textile yarn corresponding to each conveying section to obtain the early warning conveying section of the target textile yarn.
As a preferable feasible example, the conveying parameter coincidence coefficient and conveying process evaluation coefficient of the target textile yarn corresponding to each conveying section are required to be constructed in the conveying evaluation condition analysis process of the target textile yarn corresponding to each conveying section, and the specific analysis method comprises the steps of extracting the actual tension and the actual speed of the target textile yarn corresponding to each conveying section, respectively recording asAnalyzing the conveying parameters of the target textile yarns corresponding to each conveying section to accord with coefficients
WhereinRespectively corresponding to the target textile yarnsThe reference tension and the reference speed of the individual transport segments,The allowable difference between the set actual tension and the reference tension and the allowable difference between the actual speed and the reference speed are respectively set.
Extracting the position offset and yarn fineness variation of the target textile yarn corresponding to each conveying section, and respectively marking the position offset and yarn fineness variation asAnalyzing conveying process evaluation coefficients of target textile yarns corresponding to conveying sections
WhereinThe allowable position offset and the allowable yarn fineness variation set respectively.
As a preferable feasible example, the conveying evaluation condition of the target textile yarn corresponding to each conveying section is specifically analyzed by extracting conveying parameter coincidence coefficients and conveying process evaluation coefficients of the target textile yarn corresponding to each conveying section according to an analysis modelObtaining the conveying evaluation condition of the target textile yarn corresponding to each conveying sectionWhereinIndicating that the delivery evaluation condition is qualified,Indicating that the delivery evaluation condition is not acceptable,The set delivery parameters respectively meet the coefficient threshold and the delivery process evaluation coefficient threshold,And are respectively and coincident with and or symbology.
If the conveying evaluation condition of the target textile yarn corresponding to a certain conveying section is unqualified, marking the conveying section corresponding to the target textile yarn as the early warning conveying section corresponding to the target textile yarn, and further obtaining each early warning conveying section corresponding to the target textile yarn.
As a preferable feasible example, the specific operation of performing early warning and regulation on the target textile yarn corresponding to each early warning conveying section comprises the steps of extracting the target textile yarn corresponding to each early warning conveying section, further analyzing the early warning reason of the target textile yarn corresponding to each early warning conveying section, and feeding back and early warning the early warning reason and the corresponding number of the early warning reason.
The specific analysis mode of the early warning reason of the target textile yarn corresponding to each early warning conveying section is that the conveying parameter coincidence coefficient and the conveying process evaluation coefficient of the target textile yarn corresponding to each conveying section are respectively compared with a set conveying parameter coincidence coefficient threshold value and a conveying process evaluation coefficient threshold value, and if the conveying parameter coincidence coefficient of the target textile yarn corresponding to a certain conveying section is smaller than the conveying parameter coincidence coefficient threshold value, the early warning reason of the target textile yarn corresponding to the conveying section is marked as that the conveying parameter is not in compliance with the requirement.
If the conveying process evaluation coefficient of the target textile yarn corresponding to a certain conveying section is smaller than the conveying process evaluation coefficient threshold value, marking the early warning reason of the target textile yarn corresponding to the conveying section as that the conveying process is not satisfactory.
If the conveying parameter coincidence coefficient of the target textile yarn corresponding to a certain conveying section is smaller than the conveying parameter coincidence coefficient threshold value and the conveying process evaluation coefficient of the target textile yarn is smaller than the conveying process evaluation coefficient threshold value, marking the early warning reason of the target textile yarn corresponding to the conveying section as that the conveying parameter and the conveying process are not in accordance.
Further, maintenance personnel regulate and control the early warning reasons corresponding to the early warning conveying sections according to the target textile yarns.
The specific operation of adjusting and controlling the early warning reasons corresponding to the early warning conveying sections according to the target textile yarns is that if the early warning reasons corresponding to a certain conveying section of the target textile yarns are that conveying parameters are not satisfactory, the tension and the speed of the equipment corresponding to the left and right sides of the conveying section of the target textile yarns are adjusted.
If the early warning reason of the target textile yarn corresponding to a certain conveying section is marked as that the conveying process is not satisfactory, stopping immediately, and manually adjusting the position of the target textile yarn corresponding to the conveying section or replacing the textile yarn.
The information storage library is used for storing the surface allowable roughness of the equipment, storing standard basic information evaluation coefficients, standard fineness, standard uniformity and standard elasticity corresponding to the standard basic information evaluation coefficients, storing basic information evaluation coefficient ranges corresponding to each reference conveying parameter, and storing the number of conveying sections and the standard length of the conveying sections of the target textile yarns in the conveying process.
According to the invention, the actual conveying parameters and conveying information parameters of the target textile yarns corresponding to the conveying sections are obtained, so that the conveying evaluation condition of the target textile yarns corresponding to the conveying sections is analyzed, stable quality and performance of the yarns in the conveying process are ensured, factors possibly causing yarn flaws such as excessive tension, speed mismatch, position deviation or excessive yarn fineness change are timely found and adjusted, fluctuation of the quality of the textile yarns is reduced, and the stability and consistency of the quality of products are improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.