Fabric cutting data analyzing and processing system

Abstract

The invention discloses a fabric tailoring data analysis and processing system. The system comprises an automatic tailoring unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit and a remote monitoring unit, and the automatic tailoring unit is used for inputting coordinate information of a pre-designed tailoring path into automatic tailoring equipment and automatically tailoring the fabric, and belongs to the technical field of intelligent tailoring of the fabric. By collecting and analyzing the area of a fabric cutting piece, the distance from a detection sample point at the edge of the cutting piece to the center point of the cutting piece, the temperature and humidity of the fabric and the cutting environment, the length and width of the fabric, the warp and weft density of the fabric and the transverse and longitudinal coordinate key data of a fabric cutting path in real time, the system can find and early warn cutting errors in time; meanwhile, the cutting path is automatically adjusted according to the analysis result, dynamic correction is carried out according to the deformation problem in fabric cutting, it is ensured that the size of a cut piece is accurate, and the cutting precision and efficiency are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent fabric cutting, and more specifically discloses a fabric cutting data analysis and processing system. Background Art

[0002] The traditional method of fabric cutting is to draw a positioning line on the fabric manually and then cut along the positioning line. With the development of artificial intelligence technology, fabric cutting has also achieved automated control. With the rapid development of microelectronics technology, embedded systems, the Internet of Things and big data technology, fabric cutting systems are constantly moving towards modularization, integration, networking and intelligence. This development trend not only improves the accuracy and efficiency of cutting, but also meets the growing demand for personalization and customization. However, in the prior art, fabric cutting mostly uses an automatic cutting bed, which can cut according to a pre-designed cutting path, but it usually does not have the ability to dynamically correct different fabric deformations. Fabrics may deform during the cutting process due to factors such as material, thickness, humidity, etc., such as stretching, shrinking, twisting, etc. If these deformations cannot be corrected in a timely and accurate manner, the size of the cut pieces will be inaccurate, which will affect the subsequent sewing and finished product quality. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to solve the problem that in the prior art, most fabrics are cut using automatic cutting tables, which can cut according to a pre-designed cutting path, but usually do not have the ability to dynamically correct different fabric deformations. Fabrics may deform during the cutting process due to factors such as material, thickness, humidity, etc., such as stretching, shrinking, twisting, etc. If these deformations cannot be corrected in a timely and accurate manner, the size of the cut pieces will be inaccurate, which will affect the subsequent sewing and the quality of the finished product.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a fabric cutting data analysis and processing system comprises: an automatic cutting unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit and a remote monitoring unit;

[0005] Automatic cutting unit: used to input the coordinate information of the pre-designed cutting path into the automatic cutting device and automatically cut the fabric;

[0006] Data collection unit: used to collect data information generated during fabric cutting in real time;

[0007] Data transmission unit: used for real-time transmission of information data collected by the data collection unit;

[0008] Data storage unit: used to store the information data transmitted in real time by the data transmission unit;

[0009] Data processing unit: used to process and analyze the information data stored in the data storage unit and obtain the processing and analysis results. When the result obtained by the analysis and judgment module is an abnormal result, an alarm is issued to the background terminal, and the obtained processing and analysis results are forwarded to the remote monitoring unit;

[0010] Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, according to the analysis results of the data processing unit, the coordinates of the pre-designed clipping path are corrected and debugged.

[0011] Furthermore, the data acquisition unit includes: an area acquisition module, a distance acquisition module and a temperature and humidity acquisition module;

[0012] Area collection module: used to collect area data information of cut pieces of fabric in real time;

[0013] Distance acquisition module: used to collect the distance data information from the detection sample point on the edge of the cut piece to the center point of the cut piece in real time;

[0014] Temperature and humidity collection module: used to collect temperature and humidity data information of fabrics and cutting environment in real time.

[0015] Furthermore, the data acquisition unit includes: a size acquisition module, a density acquisition module and a coordinate acquisition module;

[0016] Size collection module: used to collect the length and width data information of the fabric in real time;

[0017] Density collection module: used to collect the density data information of the warp and weft of the fabric in real time;

[0018] Coordinate acquisition module: used to collect the horizontal and vertical coordinate data information of the fabric cutting path in real time.

[0019] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, an abnormality alarm module and a result forwarding module;

[0020] Data acquisition module: used for real-time acquisition of information data stored in the data storage unit;

[0021] Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment;

[0022] Abnormal alarm module: used to send an alarm to the background terminal when the result obtained by the analysis and judgment module is abnormal;

[0023] Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

[0024] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module and an automatic debugging module;

[0025] Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time;

[0026] Data display module: used to display the information data received by the data receiving module on the background terminal display screen;

[0027] Automatic debugging module: when the result obtained by the data processing unit analysis is an abnormal result, the coordinates of the pre-designed clipping path are corrected and debugged according to the analysis result of the data processing unit.

[0028] Furthermore, the analysis and judgment module obtains the area of ​​the cut piece of fabric and the distance information data from the detection sample point of the edge of the cut piece to the center point of the cut piece from the data acquisition module, and obtains the error index of the cut piece through the above acquired data analysis, if:

[0029]

[0030] This means that the error of the cut pieces is within the standard range, where δ is the error index of the cut pieces, S post is the actual area of ​​the cut piece, S pre is the area of ​​the piece designed before cutting, N is the number of detection points of the preset edge of the piece, d k is the distance from the detection point on the edge of the kth actual piece to the center of the piece, D k is the distance from the kth pre-designed detection point on the edge of the piece to the center point of the piece, is the preset error index threshold parameter.

[0031] Furthermore, the analysis and judgment module obtains the temperature and humidity information data of the fabric and the cutting environment from the data acquisition module, and obtains the influence index of the fabric cutting environment through the analysis of the above acquired data:

[0032]

[0033] Among them, E is the impact index of the fabric cutting environment, T is the temperature of the fabric to be cut, a is the impact weight coefficient of temperature, and time is the data monitoring time. is the temperature of the cutting environment monitored at the ith second, T e is the preset optimal temperature for cutting fabrics, wet is the humidity of the fabric to be cut, b is the weight coefficient of humidity, is the humidity of the cropping environment monitored at the i-th second, wet e The optimal humidity of the preset cutting fabric, T max is the maximum temperature of the cutting environment monitored during the time period, T min is the minimum temperature of the cutting environment monitored during the time period, wet max is the maximum humidity of the cutting environment monitored during the time period, wet min It is the minimum humidity of the cutting environment monitored during the time period.

[0034] Furthermore, the analysis and judgment module obtains the length and width of the fabric, the density of the warp and weft lines of the fabric, and the horizontal and vertical coordinate information data of the fabric cutting path from the data acquisition module, and obtains the correction coefficient of cutting through the above acquired data analysis:

[0035]

[0036] Furthermore, after obtaining the clipping correction coefficient, the clipping correction coefficient is used to correct the horizontal and vertical coordinates of the pre-designed clipping path, and the corrected horizontal and vertical coordinates are obtained:

[0037]

[0038] Among them, β is the correction coefficient of cutting, L is the length of the fabric per unit area without force, W is the width of the fabric per unit area without force, L max W is the maximum length of the fabric per unit area stretched under force. max is the maximum width of the fabric per unit area stretched under force, ρ he is the warp density of fabric per unit area, ρ sh is the weft density of the fabric per unit area, E is the influence index of the fabric cutting environment, exp(f) is the exponential function with the real number e as the base, δ is the error index of the cut piece, x new is the horizontal coordinate of the corrected clipping path, y new is the ordinate of the corrected clipping path, x past is the horizontal coordinate of the clipping path before correction, y past The vertical coordinate of the clipping path before correction.

[0039] The beneficial effects of the fabric cutting data analysis and processing system of the present invention are as follows: by real-time collection and analysis of the fabric cutting area, the distance from the detection sample point of the cutting edge to the cutting center point, the temperature and humidity of the fabric and the cutting environment, the length and width of the fabric, the density of the warp and weft lines of the fabric, and the horizontal and vertical coordinate key data of the fabric cutting path, the system can timely detect and warn cutting errors, and automatically adjust the cutting path according to the analysis results, and dynamically correct the deformation problems in fabric cutting to ensure the accuracy of the cutting size, effectively improve the cutting accuracy and efficiency, and meet the subsequent sewing and finished product quality requirements. In addition, the system also has powerful remote monitoring and debugging capabilities, making the fabric cutting process more controllable and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0041] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0042] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0043] According to one aspect of the present invention, Figure 1 As shown, a fabric cutting data analysis and processing system is provided. First, the coordinate information of the pre-designed cutting path is input into the automatic cutting device through the automatic cutting unit, and the fabric is automatically cut. Then, the area of ​​the cut piece, the distance from the detection sample point of the edge of the piece to the center point of the piece, the temperature and humidity of the fabric and the cutting environment, the length and width of the fabric, the warp and weft density of the fabric, and the horizontal and vertical coordinate data information of the fabric cutting path are respectively collected in real time through the area acquisition module, the distance acquisition module, the temperature and humidity acquisition module, the size acquisition module, the density acquisition module and the coordinate acquisition module.

[0044] Then, the collected data is transmitted to the data storage unit in real time through the data transmission unit, and then the information data is obtained from the data storage unit through the data acquisition module in the data analysis unit. Further, the obtained information data is processed and analyzed by the analysis and judgment module. When the analysis and judgment result of the analysis and judgment module shows abnormal situation, it will trigger the abnormal alarm module and alarm the background terminal.

[0045] Afterwards, the data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the background terminal display screen through the data display module. At the same time, according to the analysis results of the data processing unit, the coordinates of the pre-designed clipping path are corrected and debugged.

[0046] The analysis and judgment module obtains the area of ​​the cut piece of fabric and the distance information data from the detection sample point of the edge of the piece to the center point of the piece from the data acquisition module, and obtains the error index of the cut piece through the above acquired data analysis. If:

[0047]

[0048] This means that the error of the cut pieces is within the standard range, where δ is the error index of the cut pieces, S post is the actual area of ​​the cut piece, S pre is the area of ​​the piece designed before cutting, N is the number of detection points of the preset edge of the piece, d k is the distance from the detection point on the edge of the kth actual piece to the center of the piece, D k is the distance from the kth pre-designed detection point on the edge of the piece to the center point of the piece, is the preset error index threshold parameter.

[0049] During the data collection process, the actual area S of the cut piece is post = 0.06, the area of ​​the cut piece designed before cutting S pre =0.12, the preset number of detection points of the edge of the cutting piece N = 100, Preset error index threshold parameters Therefore, because This means that the error of the cut piece exceeds the standard range, which will trigger the abnormal alarm module to send an alarm to the background terminal, and continue to analyze and judge through the analysis and judgment module, and then correct and debug the coordinates of the pre-designed cutting path through the automatic debugging module.

[0050] The analysis and judgment module obtains the temperature and humidity information data of the fabric and the cutting environment from the data acquisition module, and obtains the influence index of the fabric cutting environment through the analysis of the above acquired data:

[0051]

[0052] Among them, E is the impact index of the fabric cutting environment, T is the temperature of the fabric to be cut, a is the impact weight coefficient of temperature, and time is the data monitoring time. is the temperature of the cutting environment monitored at the ith second, T e is the preset optimal temperature for cutting fabrics, wet is the humidity of the fabric to be cut, b is the weight coefficient of humidity, is the humidity of the cropping environment monitored at the i-th second, wet e The optimal humidity of the preset cutting fabric, T max T is the maximum temperature of the cutting environment monitored during time. min is the minimum temperature of the cutting environment monitored during the time period, wet max is the maximum humidity of the cutting environment monitored during the time period, wet min It is the minimum humidity of the cutting environment monitored during the time period.

[0053] The greater the impact index of the fabric cutting environment, the easier it is to cause the fabric to deform during the fabric cutting process. During the data collection process, the temperature of the fabric to be cut is T = 23, the data monitoring time is time = 10000, and the preset optimal temperature of the cutting fabric is T e =22, the humidity of the fabric to be cut wet = 50, the preset optimal humidity of the fabric to be cut During the time period, the maximum and minimum temperatures of the cutting environment monitored are T max =24.7, T min =22.9, during the time period, the maximum and minimum temperatures of the cutting environment monitored are wet max =65, wet min =64, so,

[0054] The analysis and judgment module obtains the length and width of the fabric, the density of the warp and weft lines of the fabric, and the horizontal and vertical coordinate information data of the fabric cutting path from the data acquisition module, and obtains the correction coefficient of cutting through the above acquired data analysis:

[0055]

[0056] Furthermore, after obtaining the clipping correction coefficient, the clipping correction coefficient is used to correct the horizontal and vertical coordinates of the pre-designed clipping path, and the corrected horizontal and vertical coordinates are obtained:

[0057]

[0058] Among them, β is the correction coefficient of cutting, L is the length of the fabric per unit area without force, W is the width of the fabric per unit area without force, L max W is the maximum length of the fabric per unit area stretched under force. max is the maximum width of the fabric per unit area stretched under force, ρ he is the warp density of fabric per unit area, ρ sh is the weft density of the fabric per unit area, E is the influence index of the fabric cutting environment, exp(f) is the exponential function with the real number e as the base, δ is the error index of the cut piece, x new is the horizontal coordinate of the corrected clipping path, y new is the ordinate of the corrected clipping path, x past is the horizontal coordinate of the clipping path before correction, y past The vertical coordinate of the clipping path before correction.

[0059] During the data collection process, when no force is applied, the length and width of the fabric per unit area are L = 30 and W = 40 respectively. When force is applied, the maximum length and width of the fabric per unit area are L max =31, W max =42, the warp and weft densities per unit area of ​​fabric are ρ he =133,ρ sh =72, so, The horizontal and vertical coordinates of the clipping path before correction are (1, 1.4), and the horizontal and vertical coordinates of the corresponding clipping path after correction are (1.05, 1.47). Since 0.07∈[0, 0.1], it means that the error of the cut pieces is within the standard range, and fabric cutting can continue.

[0060] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A fabric cutting data analysis and processing system, characterized in that: include: Automatic cutting unit, data acquisition unit, data transmission unit, data storage unit, data processing unit and remote monitoring unit; Automatic cutting unit: used to input the coordinate information of the pre-designed cutting path into the automatic cutting device and automatically cut the fabric; Data collection unit: used to collect data information generated during fabric cutting in real time; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to process and analyze the information data stored in the data storage unit and obtain the processing and analysis results. When the analysis result obtained by the analysis and judgment module is an abnormal result, an alarm is issued to the background terminal, and the obtained processing and analysis results are forwarded to the remote monitoring unit; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, according to the analysis results of the data processing unit, the coordinates of the pre-designed clipping path are corrected and debugged.

2. A fabric cutting data analysis and processing system according to claim 1, characterized in that: The data acquisition unit includes: an area acquisition module, a distance acquisition module and a temperature and humidity acquisition module; Area collection module: used to collect area data information of cut pieces of fabric in real time; Distance acquisition module: used to collect the distance data information from the detection sample point on the edge of the cut piece to the center point of the cut piece in real time; Temperature and humidity collection module: used to collect temperature and humidity data information of fabrics and cutting environment in real time.

3. A fabric cutting data analysis and processing system according to claim 2, characterized in that: The data acquisition unit includes: a size acquisition module, a density acquisition module and a coordinate acquisition module; Size collection module: used to collect the length and width data information of the fabric in real time; Density collection module: used to collect the density data information of the warp and weft of the fabric in real time; Coordinate acquisition module: used to collect the horizontal and vertical coordinate data information of the fabric cutting path in real time.

4. A fabric cutting data analysis and processing system according to claim 3, characterized in that: The data processing unit includes: a data acquisition module, an analysis and judgment module, an abnormality alarm module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Abnormal alarm module: used to send an alarm to the background terminal when the result obtained by the analysis and judgment module is abnormal; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

5. A fabric cutting data analysis and processing system according to claim 4, characterized in that: The remote monitoring unit includes: a data receiving module, a data display module and an automatic debugging module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Automatic debugging module: when the result obtained by the data processing unit analysis is an abnormal result, the coordinates of the pre-designed clipping path are corrected and debugged according to the analysis result of the data processing unit.

6. A fabric cutting data analysis and processing system according to claim 5, characterized in that: The analysis and judgment module obtains the area of ​​the cut piece of fabric and the distance information data from the detection sample point of the edge of the cut piece to the center point of the cut piece from the data acquisition module, and obtains the error index of the cut piece through the above acquired data analysis, if: This means that the error of the cut pieces is within the standard range, where δ is the error index of the cut pieces, S post is the actual area of ​​the cut piece, S pre is the area of ​​the piece designed before cutting, N is the number of detection points of the preset edge of the piece, d k is the distance from the detection point on the edge of the kth actual piece to the center of the piece, D k is the distance from the kth pre-designed detection point on the edge of the piece to the center point of the piece, is the preset error index threshold parameter.

7. A fabric cutting data analysis and processing system according to claim 6, characterized in that: The analysis and judgment module obtains the temperature and humidity information data of the fabric and the cutting environment from the data acquisition module, and obtains the influence index of the fabric cutting environment through the analysis of the above acquired data: Among them, E is the impact index of the fabric cutting environment, T is the temperature of the fabric to be cut, a is the impact weight coefficient of temperature, and time is the data monitoring time. is the temperature of the cutting environment monitored at the ith second, T e is the preset optimal temperature for cutting fabrics, wet is the humidity of the fabric to be cut, b is the weight coefficient of humidity, is the humidity of the cropping environment monitored at the i-th second, wet e The optimal humidity of the preset cutting fabric, T max is the maximum temperature of the cutting environment monitored during the time period, T min is the minimum temperature of the cutting environment monitored during the time period, wet max is the maximum humidity of the cutting environment monitored during the time period, wet min It is the minimum humidity of the cutting environment monitored during the time period.

8. A fabric cutting data analysis and processing system according to claim 7, characterized in that: The analysis and judgment module obtains the length and width of the fabric, the density of the warp and weft lines of the fabric, and the horizontal and vertical coordinate information data of the fabric cutting path from the data acquisition module, and obtains the correction coefficient of cutting through the above acquired data analysis: Furthermore, after obtaining the clipping correction coefficient, the clipping correction coefficient is used to correct the horizontal and vertical coordinates of the pre-designed clipping path, and the corrected horizontal and vertical coordinates are obtained: Among them, β is the correction coefficient of cutting, L is the length of the fabric per unit area without force, W is the width of the fabric per unit area without force, L max W is the maximum length of the fabric per unit area stretched under force. max is the maximum width of the fabric per unit area stretched under force, ρ he is the warp density of fabric per unit area, ρ sh is the weft density of the fabric per unit area, E is the influence index of the fabric cutting environment, exp(f) is the exponential function with the real number e as the base, δ is the error index of the cut piece, x new is the horizontal coordinate of the corrected clipping path, y new is the ordinate of the corrected clipping path, x past is the horizontal coordinate of the clipping path before correction, y past The vertical coordinate of the clipping path before correction.

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