A multi-device joint control method and system for foam dyeing

Abstract

The present invention belongs to the technical field of foam dyeing, and particularly relates to a multi-device joint control method and system for foam dyeing. The method includes the following steps: obtaining dyeing target sample data, integrating the data to generate attachment liquid information; adjusting the dyeing system and performing pre-operation to determine whether the equipment is operating normally; obtaining a real-time video of the attachment liquid of the dyed object, performing preliminary image processing on it, and then extracting depth data to obtain depth image information of the attachment liquid; comparing the attachment liquid information with the depth image information of the attachment liquid to generate joint parameters for adjusting the dyed object, and obtaining operation data; adjusting the operation of the dyeing system according to the operation data and the joint parameters for adjusting the dyed object, so that the equipment performs joint dyeing adjustment operations. The multi-device joint control method of the present invention can achieve highly efficient joint control work of multiple devices.

Description

Technical Field

[0001] The present invention belongs to the technical field of foam dyeing, and particularly relates to a multi-device joint control method and system for foam dyeing. Background Art

[0002] Foam dyeing is a low liquor ratio, energy-saving and environmental protection green dyeing and finishing processing technology. It uses air (or nitrogen) to replace most of the water in the dye liquor. After foam liquor application, the liquor pick-up of the fabric (or yarn) is greatly reduced, which can reduce the unevenness caused by the migration of dyes and chemicals, can greatly save the drying energy consumption, reduce the wastewater discharge and increase the production speed, and can effectively promote the energy conservation, emission reduction, environmental protection and sustainable development of the printing and dyeing industry. However, at present, problems such as dye aggregation and insufficient dyeing generally exist in foam dyeing. It is crucial to monitor the dyeing effect of foam dyeing to ensure product quality.

[0003] There are some differences between the currently commonly used reactive foam dyeing and indigo foam dyeing processes. Reactive foam dyeing requires steaming and fixing after the foam is applied to the fabric, and indigo foam dyeing requires delayed oxidation, and after oxidation, the insoluble indigo is fixed inside the fiber, and then the surface floating color is washed off through a water washing process and then dried. The core devices of foam dyeing include conveying equipment, foam dyeing equipment (foam generation, application and fixing), cleaning equipment and drying equipment. With the development of the foam dyeing process, higher production requirements are put forward for the equipment of foam dyeing. In order to make the foam dyeing equipment achieve higher production efficiency and make the dyeing effect reach a better qualified rate control, online control of the foam dyeing equipment and monitoring of the dyeing effect are effective means to improve the effect of foam dyeing products. Therefore, the present invention provides a control method and system for multi-device joint control to improve the unity of the dyed object and the dyeing target. Summary of the Invention

[0004] Based on this, the present invention provides a multi-device joint control method and system for foam dyeing to solve at least one of the above technical problems.

[0005] To achieve the above object, the present invention provides a multi-device joint control method for foam dyeing, which is applied to a dyeing system. The dyeing system includes a foam dyeing device, a conveying device, a cleaning device and a drying device that are communicatively connected. The multi-device joint control method for foam dyeing includes the following steps:

[0006] Step S1: Obtain the dyeing target sample data, and perform data integration on the dyeing target sample data to obtain integrated sample data;

[0007] Step S2: Simulate the operation process of the foam dyeing equipment based on the integrated sample data to obtain the operation adjustment parameters of the foam dyeing equipment. Model according to the operation adjustment parameters of the foam dyeing equipment and the integrated sample data to generate an adhesion liquid model of the dyed material, where the adhesion liquid model of the dyed material includes an adhesion liquid graphic simulation dyeing map and adhesion liquid color simulation information;

[0008] Step S3: Send the operation adjustment parameters of the foam dyeing equipment to the equipment control module of the foam dyeing to enable the equipment control module of the foam dyeing to adjust the dyeing system, thereby obtaining the pre-operation data of the dyeing system, and pre-operate according to the pre-operation data of the dyeing system to determine whether the equipment is operating normally;

[0009] Step S4: Obtain the real-time video of the adhesion liquid of the dyed material and perform preliminary image processing on the real-time video of the adhesion liquid of the dyed material to obtain the preliminary image information of the adhesion liquid, and extract the depth data from the preliminary image information of the adhesion liquid to obtain the depth image information of the adhesion liquid;

[0010] Step S5: Compare the depth image information of the adhesion liquid with the adhesion liquid information of the standard dyed material to generate the joint adjustment parameters of the dyed material, and perform real-time monitoring on the conveying equipment, foam dyeing equipment, and cleaning equipment to obtain the operation data of the dyeing system;

[0011] Step S6: Adjust the operation of the dyeing system according to the operation data of the dyeing system and the joint adjustment parameters of the dyed material to enable the equipment dyeing system to perform joint dyeing adjustment operations.

[0012] In this embodiment, by simulating the operation of the equipment in the dyeing system, the waste of raw materials caused by manual debugging of the equipment and the deviation between the dyeing target and the finished product caused by non-standard manual debugging are reduced. The equipment runs more standardized and efficient by using the dyeing system for the dyeing target. By real-time monitoring the dyeing process of the dyed material, the linkage debugging of each working equipment is realized, and the system debugging is carried out according to the dyeing system, providing data transmission and data analysis functions for each working equipment, improving the linkage between equipment. For example, when a certain equipment fails, the other equipment can quickly respond. For example, when the production capacity of a certain equipment changes, the other equipment can be adjusted in real time. Analyze the adhesion situation of the dyed material through the adhesion liquid to judge whether the dyed material is qualified during the production process of the dyed material, thereby reducing the production error rate of the dyeing system, and monitoring the equipment when unqualified dyed materials are issued, and processing the equipment operation data to find the reason for the equipment production error and solve the root cause of the error.

[0013] In one embodiment of this specification, the step of Step S1 for obtaining the dyeing target sample data includes the following steps:

[0014] Obtain the data of the dyed target sample, where obtaining the sample data is divided into two methods: video acquisition method and parameter data input method;

[0015] Among them, the video acquisition method includes the following steps:

[0016] Collect basic data of the dyed target sample through a video acquisition device to obtain a video of the dyed target sample;

[0017] Frame the video of the dyed target sample to obtain the framed images of the dyed target sample;

[0018] Extract color image information from the framed images of the dyed target sample to obtain color image parameter information;

[0019] Extract graphic image information from the framed images of the dyed target sample to obtain graphic parameter information, and perform simulated drawing based on the graphic parameter information to generate a graphic simulation diagram;

[0020] Aggregate and encapsulate the color image parameter information and the graphic simulation diagram, and label them as the data of the dyed target sample;

[0021] Among them, the parameter data input method includes the following steps:

[0022] Obtain the color image parameters and position numbers of the dyed target sample;

[0023] Summarize the color image parameters and position numbers of the dyed target sample to obtain color image parameter information;

[0024] Obtain the dyed target sample diagram, and perform simulated conversion on the dyed target sample diagram to generate a graphic simulation diagram;

[0025] Aggregate and encapsulate the color image parameter information and the graphic simulation diagram, and label them as the target sample data.

[0026] In this embodiment, the data of the dyed target sample is diversified, the accuracy of data acquisition is improved, and data extraction can be directly performed when different data or items are provided by the customer, reducing the obstacles in cooperation with the customer, expanding the application scenarios of the device, collecting basic data of the dyed target sample through a video acquisition device, and performing image processing on the collected dyed target, so that the data of the dyed target sample of the dyed target can be quickly obtained.

[0027] In an embodiment of this specification, the step of integrating the data of the dyed target sample to obtain the integrated sample data in step S1 includes the following steps:

[0028] Access the color formula in the color formula library of the system;

[0029] Perform color matching on the color image parameter information in the dyeing target sample data according to the color formula in the color formula library, so as to generate a matching degree table, and perform real-time screening on the matching degree combinations in the matching degree table according to a preset matching degree threshold, so as to obtain a color formula set;

[0030] Perform simulation modeling based on the graphic simulation diagram in the dyeing target sample data and the color image parameter information in the dyeing target sample data, so as to generate a combined graphic and color model of the dyeing target sample, and perform sequence data conversion on the combined graphic and color model of the dyeing target sample, so as to generate dyeing target sample model data;

[0031] Aggregate the color formula set and the dyeing target sample model data to obtain integrated sample data.

[0032] In this embodiment, the color formula in the color formula library is used to match the color image parameter information in the dyeing target sample data, so as to determine the color formula of the dyeing sample, which is beneficial to reducing the dyeing difference after dyeing the dyeing sample and the dyed object. The preset matching degree threshold is used to accurately select the matching degree combinations within a certain range. Simulation modeling is performed based on the graphic simulation diagram in the dyeing target sample data and the color image parameter information in the dyeing target sample data, which is beneficial to the joint analysis of the graphics and colors of the dyeing target. Modeling by simulation is beneficial to the comprehensive understanding of the dyeing sample, enabling the change of the dyeing target from the object to the data and then to the model, which is beneficial for the production staff to control the product effect. When performing data conversion on the model, the data is further sorted out to determine the structural relationship between the color and the image, providing data support for the subsequent production of the dyed object.

[0033] In an embodiment of this specification, the foam dyeing equipment includes a foam manufacturing module and a graphic imaging module. Step S2 includes the following steps:

[0034] Perform formula-directed adjustment on the foam manufacturing module according to the color formula set in the integrated sample data, and monitor the overall simulation operation parameters of the foam manufacturing module in real time;

[0035] Enter the dyeing target sample model data in the integrated sample data into the graphic imaging module, and monitor the overall simulation operation parameters of the graphic imaging module in real time;

[0036] Aggregate the overall simulation operation parameters of the foam manufacturing module and the overall simulation operation parameters of the graphic imaging module to obtain the operation adjustment parameters of the foam dyeing equipment;

[0037] Perform basic scenario simulation according to the operation adjustment parameters of the foam dyeing equipment to generate an equipment operation linkage model;

[0038] Perform a sample dyeing preview based on the integrated sample data and the device operation linkage model, thereby generating a sample dyeing preview model;

[0039] Perform an adhesion liquid simulation based on the sample dyeing preview model, thereby generating an adhesion liquid model for the dyed object, where the adhesion liquid model for the dyed object includes an adhesion liquid graphic simulation dyeing map and adhesion liquid color simulation information.

[0040] In this embodiment, a simulation operation is set in the foam manufacturing module to reduce the raw material waste and economic losses caused by human operation errors in the foam manufacturing module. It can also detect equipment operation errors or equipment failures by comparing the simulation data with the production of the equipment. By simulating the image imaging, it can reduce the raw material waste and economic losses caused by human operation errors in the image imaging module, and can also detect equipment operation errors or equipment failures by comparing the simulation data with the production of the equipment. And perform a linkage process on the overall simulation operation parameters of the foam manufacturing module and the overall simulation operation parameters of the graphic imaging module, thereby demonstrating the sequential control of the dyeing process of the dyed object, and simulating the process of producing the finished product of the dyed object to quickly obtain the best production process of the finished product of the dyed object, providing technical and data support for subsequent production. For the intermediate product, the adhesion liquid product of the dyed object, perform a simulation on the intermediate product and generate an adhesion liquid model for the dyed object, which is beneficial to control the quality of the product after dyeing in the early stage of the production of the dyed object from the intermediate product, and is beneficial to detecting unqualified products in advance for remedy, thereby improving the qualified rate of the product, reducing the production cost of the product, and for the possible failure positions of the equipment that produces unqualified products, achieving a reduction in the search area and improving the detection efficiency.

[0041] In an embodiment of this specification, the foam dyeing equipment includes a foam dyeing control module and an operation monitoring control module. Step S3 includes the following steps:

[0042] Send the operation adjustment parameters of the foam dyeing equipment to the foam dyeing control module, so that the foam dyeing control module adjusts the dyeing system, and perform real-time operation monitoring on the dyeing system according to the operation monitoring control module, thereby obtaining the pre-operation data of the dyeing system;

[0043] Perform a pre-operation based on the pre-operation data of the dyeing system, so that the dyeing system demonstrates the pre-production operation process and statistically analyzes the demonstration data;

[0044] Obtain the normal operation state data of the dyeing system and compare it with the demonstration data. When the comparison value between the demonstration data and the normal operation state data of the dyeing system is less than the preset operation threshold, it is determined as abnormal operation and an audible and visual alarm signal for equipment failure is issued. When the comparison value between the demonstration data and the normal operation state data of the dyeing system is greater than the preset operation threshold, it is determined that the equipment is operating normally.

[0045] In this embodiment, the operation adjustment parameters of the foam dyeing equipment are sent to the foam dyeing control module, enabling the equipment to ensure the consistency between the data product and the dyeing target in good condition. The dyeing system is monitored in real time according to the operation monitoring control module, which is beneficial to the rapid self-regulation between devices when equipment failures occur, thereby reducing the impact of equipment linkage production. It is also beneficial to prompt the administrator to perform maintenance in the early stage when problems occur in the equipment, reducing the equipment maintenance cost and improving the effective production time of the equipment. By means of dyeing demonstrations, preset operation thresholds are set for equipment failures to balance the production relationship contradictions brought about by production equipment failures and production demands.

[0046] In one embodiment of this specification, step S4 includes the following steps:

[0047] Real-time shooting is carried out through the shooting module in the conveying equipment to obtain the real-time video of the adhering liquid of the dyed object;

[0048] The real-time video of the adhering liquid of the dyed object is frame-divided to generate a frame-divided atlas of the adhering liquid of the dyed object;

[0049] According to the preset convolution, the frame-divided diagrams of the adhering liquid of the dyed object in the frame-divided atlas of the adhering liquid of the dyed object are clearly screened to obtain a clear frame-divided atlas of the adhering liquid;

[0050] The dyeing graphic of the dyed object is extracted from the clear frame-divided diagrams of the adhering liquid in the clear frame-divided atlas of the adhering liquid to obtain a graphic feature atlas of the dyed object, and the graphic features of the dyed object in the graphic feature atlas of the dyed object are graphically spliced and integrated to generate a dyeing graphic feature diagram of the dyed object. The data information of the dyeing graphic feature diagram of the dyed object is transformed to generate the data information of the dyeing graphic feature of the dyed object;

[0051] The color features of the dyed object are extracted from the clear frame-divided diagrams of the adhering liquid in the clear frame-divided atlas of the adhering liquid to obtain a color feature atlas of the dyed object, and the color features of the dyed object in the color feature atlas of the dyed object are data-transformed to generate the color data information of the dyed object;

[0052] The data information of the dyeing graphic feature of the dyed object and the color data information of the dyed object are summarized to obtain the preliminary image information of the adhering liquid;

[0053] Deep data extraction is carried out on the preliminary image information of the adhering liquid according to the pre-trained neural network to obtain the depth image information of the adhering liquid.

[0054] In this embodiment, a video of a semi-finished product in the production process is taken on a conveying device to analyze whether the product in the middle of the production is qualified. Through image processing operations, the dyeing pattern feature data information and the color data information of the dyed product of the semi-finished product in the production process are obtained to provide data support for the subsequent judgment of the qualified condition of the attachment liquid of the dyed product. The preliminary image information of the attachment liquid is deeply extracted to further mine the data information in the preliminary image information of the attachment liquid, so as to play a role in accurately controlling the subsequent judgment of the attachment liquid condition of the dyed product.

[0055] In one embodiment of the present specification, step S5 includes the following steps:

[0056] Step S71: performing graphic matching according to the simulated dyeing image of the attachment liquid graphic and the dyeing graphic feature image of the dyed object in the depth image information of the attachment liquid, thereby generating a dyeing graphic feature matching degree. When the dyeing graphic feature matching degree is less than a preset graphic feature matching degree threshold, executing step S72; when the dyeing graphic feature matching degree is greater than or equal to the preset graphic feature matching degree threshold, executing step S73;

[0057] Step S72: real-time monitoring of the operation of the foam dyeing equipment, the conveying equipment, the cleaning equipment and the drying equipment is performed to obtain the operation data of the dyeing system, and the pattern deviation is calculated according to the dyeing pattern characteristic diagram and the pattern simulation diagram of the dyed object to obtain the pattern deviation parameter;

[0058] Step S73: color matching is performed according to the color data information of the dyeing object in the depth image information of the attachment liquid color simulation information and the attachment liquid, thereby generating a color matching degree. When the color matching degree is less than a preset color feature matching degree threshold, step S74 is executed; when the color matching degree is greater than or equal to the preset color feature matching degree threshold, a qualified signal is sent to the transmission module in the conveying device, so that the dyeing object is cleaned by the cleaning device for floating color cleaning, and then the dyeing object is entered into the drying device and dried, thereby realizing the equipment joint dyeing operation and ending the dyeing operation;

[0059] Step S74: real-time monitoring of the operation of the foam dyeing equipment, the conveying equipment, the cleaning equipment and the drying equipment, so as to obtain the dyeing system operation data, and color deviation calculation is performed according to the color data information and the color image parameter information of the dyed object, so as to obtain the color deviation parameter;

[0060] Step S75: summing up the graphic deviation parameters and the color deviation parameters and marking them as dyeing adjustment parameters, summing up the dyeing graphic feature matching degree and the color matching degree and marking them as dyeing matching degree, summing up the dyeing adjustment parameters and the dyeing matching degree and marking them as dyeing adjustment joint parameters.

[0061] In this embodiment, the graphic features map of the adhering liquid of the dyed object is compared with the simulated dyeing map in the adhering liquid model of the dyed object to determine whether the graphic of the adhering liquid of the dyed object meets the requirements, providing data support for the intelligent control of the diversion flow of the dyed object by the conveying device. Then, the depth image information of the adhering liquid is compared with the simulated information of the adhering liquid color in the adhering liquid model of the dyed object to determine whether the color of the adhering liquid of the dyed object meets the requirements.

[0062] In one embodiment of this specification, the dyed object deviation parameters include graphic deviation parameters and color deviation parameters. The graphic deviation parameters are obtained by calculating with the graphic deviation calculation formula:

[0063] The specific graphic deviation calculation formula of the graphic deviation parameters is as follows:

[0064]

[0065] Among them, T represents the graphic deviation parameter, α represents the weight information of the color change rate of the graphic deviation, θ represents the color change rate of the graphic deviation, β represents the weight information of the color deviation value, S represents the color deviation parameter, j represents the constant term, ε i represents the change rate of the i-th pixel, d represents the adjustment item of the color deviation value, b represents the constant term, γ represents the estimated graphic deviation value of the graphic deviation parameter, b represents the average estimated graphic deviation change value of the graphic deviation parameter, and μ represents the deviation adjustment item;

[0066] The color deviation parameters are obtained by calculating with the color deviation calculation formula. The specific color deviation calculation formula is as follows:

[0067]

[0068] Among them, S represents the color deviation parameter, i represents the i-th pixel point of the color image, A represents the red value in the image color channel, B represents the green value in the image color channel, C represents the blue value in the image color channel, τ represents the color deviation change rate of the color deviation parameter, σ represents the dyeing parameter of the standard dyed object, f represents the constant term, and g represents the deviation adjustment item.

[0069] The graphic deviation calculation formula of the graphic deviation parameters in this embodiment uses the weight information α of the color change rate of the graphic deviation, the color change rate θ of the graphic deviation, the weight information β of the color deviation value, and the change rate ε of the i-th pixel i through Calculate to obtain the deviation direction of the image, then adjust the deviation direction according to d cos S + bγ, and use the color change rate relationship of the graphic deviation to perform derivation to obtain the graphic deviation parameter T, and perform calculations considering multiple parameters, so that the graphic deviation parameter is closer to the actual deviation data value;

[0070] The color deviation calculation formula of the color deviation parameter, the red value A in the image color channel, the green value B in the image color channel collected by the image, and the blue value C in the image color channel are used to accurately obtain the color information of the attachment liquid of the dyed object for the image color, providing more accurate data support for the color deviation parameter. Through the color deviation change rate τ of the color deviation parameter and the dyeing parameter σ of the standard dyed object, calculations are performed using exponential functions and power functions, and the derivative of the change rate of the color deviation change rate τ of the color deviation parameter is used to obtain the color deviation parameter S, and calculations are performed considering multiple parameters, so that the color deviation parameter is closer to the actual deviation data value.

[0071] In an embodiment of this specification, step S6 includes the following steps:

[0072] Obtain the device operation specification adjustment direction data;

[0073] Perform a device pre-adjustment simulation based on the device operation specification adjustment direction data and the dyed object adjustment joint parameter, so as to generate device specification adjustment data;

[0074] Perform situation analysis and adjustment based on the dyeing system operation data and the device specification adjustment data, so that the device performs a joint dyeing adjustment operation.

[0075] In this embodiment, a device pre-adjustment simulation is performed through the device operation specification adjustment direction data and the dyed object adjustment joint parameter, so as to determine the parameters for regulating the operation of the device without mutual influence, and perform situation analysis and adjustment based on the dyeing system operation data and the device specification adjustment data, so that the devices are jointly adjusted to improve the long-term efficient operation between devices and between devices and the system.

[0076] In an embodiment of this specification, a multi-device joint control method and system for foam dyeing, characterized by including:

[0077] A processor, and

[0078] At least one memory electrically connected to the processor, the memory stores a computer program, and the computer program is used to execute the multi-device joint control method for foam dyeing as described in any one of the above.

[0079] This embodiment provides a multi-device joint control method and system for foam dyeing. The system can implement any of the multi-device joint control methods for foam dyeing of the present invention, and is a medium for coordinating operations and data transmission between various devices. By photographing the dyeing target and performing image processing on the video, detailed image information of the dyeing target is obtained. Through building a model for device operation simulation and during the process of device debugging, by monitoring the operating conditions of each device, when a sudden situation occurs, the remaining devices can be quickly adjusted to achieve multi-device joint control.

[0080] In this embodiment, by extracting data and building a model for the dyeing target, the unity between the dyed object and the dyeing target is improved. By performing advanced device simulation adjustment operations before device adjustment, the time cost and raw material cost brought by device adjustment can be greatly reduced. By judging the qualification of the adhering liquid on the dyed object, the intermediate products can be effectively processed to improve the production qualification rate of the device. By monitoring the device operation in real time, when a sudden situation occurs, the remaining devices can be quickly adjusted to achieve multi-device joint control. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 It is a schematic flow chart of the steps of a multi-device joint control method for foam dyeing of the present invention;

[0082] Figure 2 is Figure 1 a detailed schematic flow chart of step S2 in

[0083] Figure 3 is Figure 1 a detailed schematic flow chart of step S4 in

[0084] Figure 4 is Figure 1 a detailed schematic flow chart of step S5 in

[0085] Figure 5 It is a schematic diagram of the data and product flow between the device control module of the dyeing system of the present invention and each device.

[0086] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0087] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0088] The embodiments of the present application provide a multi-device joint control method and system for foam dyeing. The execution subjects of the multi-device joint control method for foam dyeing include, but are not limited to, mobile terminals, computers, mechanical devices, network transmission devices, servers, etc. that can use the system of the present application.

[0089] The present invention provides a multi-device joint control method for foam dyeing, which is applied to a dyeing system. The dyeing system includes a foam dyeing device, a conveying device, a cleaning device, and a drying device that are communicatively connected. The multi-device joint control method for foam dyeing includes the following steps:

[0090] Step S1: Obtain dyeing target sample data, and perform data integration on the dyeing target sample data to obtain integrated sample data;

[0091] Step S2: Simulate the operation process of the foam dyeing device according to the integrated sample data to obtain operation adjustment parameters of the foam dyeing device. Model according to the operation adjustment parameters of the foam dyeing device and the integrated sample data to generate an attachment liquid model of the dyed object. The attachment liquid model of the dyed object includes an attachment liquid graphic simulation dyeing map and attachment liquid color simulation information;

[0092] Step S3: Send the operation adjustment parameters of the foam dyeing device to the device control module of the foam dyeing to enable the device control module of the foam dyeing to adjust the dyeing system, thereby obtaining pre-operation data of the dyeing system, and performing pre-operation according to the pre-operation data of the dyeing system to determine whether the device is operating normally;

[0093] Step S4: Obtain a real-time video of the attachment liquid of the dyed object and perform preliminary image processing on the real-time video of the attachment liquid of the dyed object to obtain preliminary image information of the attachment liquid, and extract depth data from the preliminary image information of the attachment liquid to obtain depth image information of the attachment liquid;

[0094] Step S5: Compare the depth image information of the attachment liquid with the attachment liquid information of the standard dyed object to generate joint adjustment parameters for the dyed object, and perform real-time monitoring on the operation of the foam dyeing device, the conveying device, the cleaning device, and the drying device to obtain operation data of the dyeing system;

[0095] Step S6: Adjust the operation of the dyeing system according to the operation data of the dyeing system and the joint adjustment parameters for the dyed object to enable the device dyeing system to perform joint dyeing adjustment operations.

[0096] In this embodiment, by simulating the operation of equipment within the dyeing system, the waste of raw materials caused by manual debugging of equipment and the deviation between the dyeing target and the finished product caused by non-standard manual debugging are reduced. The dyeing system makes the equipment operation more standardized and efficient for the dyeing target. By monitoring the dyeing process of the dyed object in real time, the linkage debugging of each working equipment is realized, and system debugging is carried out according to the dyeing system, providing data transmission and data analysis functions for each working equipment, improving the linkage between equipment. For example, when a certain equipment fails, the other equipment can quickly respond. For example, when the production capacity of a certain equipment changes, the other equipment can be adjusted in real time. Analyze the adhesion situation of the adhesion liquid to the dyed object, so as to judge whether the dyed object is qualified during the production process of the dyed object, thereby reducing the production error rate of the dyeing system, monitoring the equipment when unqualified dyed objects are issued, and processing the equipment operation data, so as to find the reason for the equipment production error and solve the root cause of the error.

[0097] In the embodiment of the present invention, referring to Figure 1 As described, it is a schematic diagram of the step flow of a multi-equipment joint control method for foam dyeing of the present invention. In this example, the steps of the multi-equipment joint control method for foam dyeing include:

[0098] Step S1: Obtain the dyeing target sample data, and perform data integration on the dyeing target sample data to obtain integrated sample data;

[0099] In the embodiment of the present invention, the obtaining of the dyeing target sample data refers to performing obtaining operations according to two obtaining methods, and the data integration of the dyeing target sample data refers to the summary data of the color formula set and the dyeing target sample model data.

[0100] Step S2: Simulate the operation process of the foam dyeing equipment according to the integrated sample data to obtain the operation adjustment parameters of the foam dyeing equipment, and perform modeling based on the operation adjustment parameters of the foam dyeing equipment and the integrated sample data to generate an adhesion liquid model of the dyed object;

[0101] In the embodiment of the present invention, the modeling based on the operation adjustment parameters of the foam dyeing equipment and the integrated sample data refers to constructing a model of the dyeing process of the dyed object through the operation adjustment parameters of the foam dyeing equipment and the integrated sample data, especially the adhesion liquid state of the intermediate product of the dyed object. This adhesion liquid state of the dyed object is an important reference for judging whether the dyed object is qualified during the dyeing process.

[0102] Step S3: sending the operation adjustment parameters of the foam dyeing equipment to the equipment control module of the foam dyeing, so that the equipment control module of the foam dyeing adjusts the dyeing system, thereby obtaining the dyeing pre-operation data of the dyeing system, and performing pre-operation according to the dyeing pre-operation data of the dyeing system, thereby judging whether the equipment is operating normally;

[0103] In the embodiment of the present invention, the pre-operation refers to the process of adding specific operating parameters to perform deduction in a specific simulation scenario in a computer.

[0104] Step S4: acquiring a real-time video of the attachment liquid of the dyed object, and performing preliminary image processing on the real-time video of the attachment liquid of the dyed object, thereby obtaining preliminary image information of the attachment liquid, and performing depth data extraction on the preliminary image information of the attachment liquid, thereby obtaining depth image information of the attachment liquid;

[0105] In the embodiment of the present invention, the preliminary image processing of the real-time video of the attachment liquid of the dye refers to performing a frame operation according to the state of the attachment liquid of the dye, removing unclear framed images, and then performing preliminary information extraction on the clear framed images, and the deep data extraction of the preliminary image information of the attachment liquid refers to performing a further data information mining operation on the preliminary image information of the attachment liquid.

[0106] Step S5: using the attachment liquid information of the standard dyeing object to compare the depth image information of the attachment liquid, thereby generating the dyeing object adjustment joint parameters, and performing real-time monitoring on the operation of the foam dyeing equipment, the conveying equipment, the cleaning equipment and the drying equipment, thereby obtaining the dyeing system operation data;

[0107] In the embodiment of the present invention, comparing the depth image information of the attachment liquid with the attachment liquid information of the standard dyeing object refers to matching the depth image information of the attachment liquid according to the attachment liquid information of the standard dyeing object, thereby determining the production process of the state of the attachment liquid of the dyeing object and the operation process of whether the product is qualified.

[0108] Step S6: adjusting the dyeing system operation according to the dyeing system operation data and the dyeing object adjustment joint parameters, so that the equipment dyeing system performs the joint dyeing adjustment operation;

[0109] In the embodiment of the present invention, the operation adjustment of the dyeing system according to the dyeing system operation data and the dyeing material adjustment joint parameters refers to adjusting the dyeing system according to the dyeing system operation data and the dyeing material adjustment joint parameters obtained by analysis. The adjustment may be a large-scale production adjustment operation due to equipment failure, or it may be a fine-tuning of the working state of the equipment due to the cooperation between the equipment hindering the production efficiency, so as to maximize the joint working efficiency between the equipment.

[0110] In one embodiment of this specification, the step S1 of obtaining the stained target sample data includes the following steps:

[0111] Obtain the stained target sample data, where obtaining the sample data is divided into two methods: video acquisition method and parameter data input method;

[0112] Among them, the video acquisition method includes the following steps:

[0113] Collect basic data of the stained target sample through a video acquisition device to obtain a video of the stained target sample;

[0114] Perform frame division on the video of the stained target sample to obtain a frame-divided image of the stained target sample;

[0115] Extract color image information from the frame-divided image of the stained target sample to obtain color image parameter information;

[0116] Extract graphic image information from the frame-divided image of the stained target sample to obtain graphic parameter information, and perform simulated drawing based on the graphic parameter information to generate a graphic simulation diagram;

[0117] Aggregate and package the color image parameter information and the graphic simulation diagram, and label it as the stained target sample data;

[0118] Among them, the parameter data input method includes the following steps:

[0119] Obtain the color image parameters and position numbers of the stained target sample;

[0120] Summarize the color image parameters and position numbers of the stained target sample to obtain color image parameter information;

[0121] Obtain the stained target sample diagram, perform simulated conversion on the stained target sample diagram to generate a graphic simulation diagram;

[0122] Aggregate and package the color image parameter information and the graphic simulation diagram, and label it as the target sample data.

[0123] In this embodiment, the data of the stained target sample obtained is diversified, the accuracy of data acquisition is improved, and data extraction can be directly performed when different data or items are provided by the customer, reducing the obstacles in cooperation with the customer, expanding the application scenarios of the device. By collecting basic data of the stained target sample through a video acquisition device and performing image processing on the collected stained target, the stained target sample data of the stained target can be quickly obtained.

[0124] In an embodiment of the present invention, the video acquisition device may be one or more cameras. Extracting color image information from the frame images of the stained target sample means using a specifically trained neural network to extract the color information of the picture. Extracting graphic image information from the frame images of the stained target sample means extracting the graphic features of the picture according to a pre-trained convolution and then extracting the feature information of the picture. Simulating drawing based on the graphic parameter information means drawing through the graphic parameter information to obtain a graphic simulation diagram. Summarizing and encapsulating the color image parameter information and the graphic simulation diagram means summarizing the color image parameter information and the graphic simulation diagram and then performing an encapsulation operation based on the relationship between the color image parameter information and the graphic simulation diagram.

[0125] In an embodiment of this specification, the step S1 of integrating the stained target sample data to obtain the integrated sample data includes the following steps:

[0126] Access the color recipes in the color recipe library of the system;

[0127] Match the color image parameter information in the stained target sample data according to the color recipes in the color recipe library to generate a matching degree table, and perform real-time screening on the matching degree combinations in the matching degree table according to a preset matching degree threshold to obtain a color recipe set;

[0128] Perform simulation modeling based on the graphic simulation diagram in the stained target sample data and the color image parameter information in the stained target sample data to generate a combined graphic and color model of the stained target sample, and perform sequence data conversion on the combined graphic and color model of the stained target sample to generate stained target sample model data;

[0129] Summarize the color recipe set and the stained target sample model data to obtain the integrated sample data.

[0130] In this embodiment, the color image parameter information in the stained target sample data is matched according to the color recipes in the color recipe library to determine the color recipe of the stained sample, which is beneficial to reducing the staining difference after staining the stained sample and the stained object. The preset matching degree threshold is used to accurately select the matching degree combinations within a certain range. Simulation modeling is performed based on the graphic simulation diagram in the stained target sample data and the color image parameter information in the stained target sample data, which is beneficial to the joint analysis of the graphics and colors of the stained target. Modeling in a simulated manner is beneficial to the comprehensive understanding of the stained sample, enabling the change of the stained target from an object to data and then to a model, which is beneficial for the production personnel to control the product effect. When performing data conversion on the model, the data is further sorted out to determine the structural relationship between the color and the image, providing data support for the subsequent production of the stained object.

[0131] In the embodiments of the present invention, the color formula in the color formula library of the system refers to the matching between the raw materials for synthesizing each color and the order of adding the raw materials during synthesis, which is represented as a color formula. Storing each color formula in a specific area of the system, this area is called the color formula library. The color matching of the color image parameter information in the dyed target sample data according to the color formula in the color formula library means searching in the color formula library according to the color required by the dyed target to obtain the color formula corresponding to the color. The simulation modeling according to the graphic simulation diagram in the dyed target sample data and the color image parameter information in the dyed target sample data means establishing a 3D model of the dyed sample according to the graphic simulation diagram and color image parameter information of the dyed target sample, which is convenient for production personnel to view and compare, and is also convenient for combining the colors and graphics of each part of the dyed target sample, and the finished product effect can be viewed in advance.

[0132] In an embodiment of this specification, the foam dyeing equipment includes a foam manufacturing module and a graphic imaging module. Step S2 includes the following steps:

[0133] Perform formula-directed adjustment on the foam manufacturing module according to the color formula set in the integrated sample data, and monitor the overall simulation operation parameters of the foam manufacturing module in real time;

[0134] Input the dyed target sample model data in the integrated sample data into the graphic imaging module, and monitor the overall simulation operation parameters of the graphic imaging module in real time;

[0135] Sum up the overall simulation operation parameters of the foam manufacturing module and the overall simulation operation parameters of the graphic imaging module to obtain the operation adjustment parameters of the foam dyeing equipment;

[0136] Perform basic scenario simulation according to the operation adjustment parameters of the foam dyeing equipment to generate an equipment operation linkage model;

[0137] Perform sample dyeing preview according to the integrated sample data and the equipment operation linkage model to generate a sample dyeing preview model;

[0138] Perform simulation of the adhering liquid according to the sample dyeing preview model to generate an adhering liquid model of the dyed object, where the adhering liquid model of the dyed object includes an adhering liquid graphic simulation dyeing diagram and adhering liquid color simulation information.

[0139] In this embodiment, a simulation operation is set up in the foam manufacturing module to reduce the waste of raw materials and economic losses caused by human operation errors in the foam manufacturing module. It can also detect equipment operation errors or equipment failures by comparing the simulation data with the actual production data of the equipment. By simulating the image imaging process, it can reduce the waste of raw materials and economic losses caused by human operation errors in the image imaging module, and also detect equipment operation errors or equipment failures by comparing the simulation data with the actual production data of the equipment. Then, the overall simulation operation parameters of the foam manufacturing module and the overall simulation operation parameters of the graphic imaging module are linked to display the sequence control of the dyeing process of the dyed product, and simulate the process of producing the finished dyed product to quickly obtain the optimal production process of the finished dyed product, providing technical and data support for subsequent production. For the intermediate product, the adhering liquid of the dyed product, a simulation is carried out on the intermediate product to generate an adhering liquid model of the dyed product, which is beneficial to controlling the quality of the dyed product after the pre-dyeing stage from the intermediate product, and is also beneficial to detecting unqualified products in advance for remedy, thereby improving the product qualification rate, reducing the production cost of the product, and narrowing the search area for possible failure positions of the equipment that produces unqualified products to improve the detection efficiency.

[0140] In the embodiment of the present invention, referring to Figure 2 as described, for Figure 1 the detailed step flow schematic diagram of step S2, in this example, it includes the following steps:

[0141] Step S21: Adjust the formula of the foam manufacturing module according to the color formula set in the integrated sample data, and monitor the overall simulation operation parameters of the foam manufacturing module in real time;

[0142] In the embodiment of the present invention, the adjustment of the formula of the foam manufacturing module according to the color formula set in the integrated sample data means obtaining the color formula from the dyeing formula library and adjusting the foam manufacturing module according to the color formula so that the foam manufacturing module can produce the corresponding color. The formula-oriented adjustment refers to the adjustment operation in a specified direction of the foam manufacturing module according to the requirements of the formula.

[0143] Step S22: Enter the dyeing target sample model data in the integrated sample data into the graphic imaging module, and monitor the overall simulation operation parameters of the graphic imaging module in real time;

[0144] In the embodiment of the present invention, the entry of the dyeing target sample model data in the integrated sample data into the graphic imaging module means entering the graphic of the dyeing target sample into the graphic imaging module of the foam manufacturing model for generating the graphic of the dyeing target sample.

[0145] Step S23: summing up the entire simulation operation parameters of the foam manufacturing module and the entire simulation operation parameters of the graphic imaging module, thereby obtaining the operation adjustment parameters of the foam dyeing device;

[0146] In the embodiment of the present invention, the aggregating the entire simulated operation parameters of the foam manufacturing module and the entire simulated operation parameters of the graphic imaging module refers to jointly aggregating the entire simulated operation parameters of the foam manufacturing module and the entire simulated operation parameters of the graphic imaging module to obtain the operation adjustment parameters of the foam dyeing equipment.

[0147] Step S24: performing basic scenario simulation according to the operation adjustment parameters of the foam dyeing equipment, thereby generating an equipment operation linkage model;

[0148] In the embodiment of the present invention, the basic scenario simulation of the operation adjustment parameters of the foam dyeing equipment refers to performing simulated operation according to the operation rules of the equipment and the set operation condition parameters.

[0149] Step S25: Preview the sample dyeing according to the integrated sample data and the equipment operation linkage model, thereby generating a sample dyeing preview model;

[0150] In the embodiment of the present invention, the integration of sample data and the equipment operation linkage model to perform sample dyeing preview refers to inferring and changing the finished product process of dyeing the dyed object, thereby generating a sample dyeing preview model.

[0151] Step S26: performing attachment liquid simulation according to the sample dyeing preview model, thereby generating an attachment liquid model of the dyed object, wherein the attachment liquid model of the dyed object includes an attachment liquid graphic simulation dyeing diagram and attachment liquid color simulation information;

[0152] In the embodiment of the present invention, the adhesion liquid simulation according to the sample dyeing preview model refers to simulating and deducing specific conditions of the dyed object, wherein the adhesion liquid simulation is an important basis for judging whether the dyed object is qualified based on the adhesion liquid condition of the semi-finished dyed object.

[0153] In one embodiment of the present specification, the foam dyeing device includes a foam dyeing control module and an operation monitoring control module, and step S3 includes the following steps:

[0154] Sending the operation adjustment parameters of the foam dyeing equipment to the foam dyeing control module so that the foam dyeing control module adjusts the dyeing system, and performing real-time operation monitoring of the dyeing system according to the operation monitoring control module, thereby obtaining dyeing pre-operation data of the dyeing system;

[0155] Perform pre-run according to the pre-running data of the dyeing system, so that the dyeing system can perform pre-production operation process demonstration, and collect demonstration data;

[0156] The normal operating status data of the dyeing system is obtained and compared with the demonstration data. When the comparison value between the demonstration data and the normal operating status data of the dyeing system is less than the preset operating threshold, it is determined to be abnormal operation and an equipment failure sound and light alarm signal is issued. When the comparison value between the demonstration data and the normal operating status data of the dyeing system is greater than the preset operating threshold, it is determined to be the normal operation of the equipment.

[0157] This embodiment sends the operation adjustment parameters of the foam dyeing equipment to the foam dyeing control module so that the equipment can ensure the consistency of data products with dyeing targets when in good condition, and performs real-time operation monitoring of the dyeing system according to the operation monitoring control module, which is beneficial to rapid self-regulation between equipment when equipment failure occurs, thereby reducing the impact of equipment linkage production, and is beneficial to prompting administrators to perform maintenance in advance at the early stage of equipment problems, reducing equipment maintenance costs, repairing equipment, and increasing the effective time of equipment production. The equipment failure is divided into preset operating thresholds through dyeing demonstration to balance the contradictions in production relations caused by production equipment failures and production needs.

[0158] In an embodiment of the present invention, the pre-operation refers to the process of adding specific operating parameters to deduce a specific simulation scenario in a computer. The preset operating threshold can be a preset operating threshold obtained through artificial intelligence training, or a manually set value. Generally, the preset operating threshold is set to 95% of the comparison similarity.

[0159] In one embodiment of the present specification, step S4 includes the following steps:

[0160] Real-time video of the attachment liquid of the dyed object is obtained by taking real-time photos through the shooting module in the transmission device;

[0161] The real-time video of the attachment liquid of the dyed object is divided into frames, thereby generating a framed atlas of the attachment liquid of the dyed object;

[0162] Clearly screening the attachment liquid segmented images of the dyed object in the attachment liquid segmented image set of the dyed object according to the preset convolution, so as to obtain a clear attachment liquid segmented image set;

[0163] Extracting dyeing patterns of dyed objects from the clear attachment liquid frame images in the clear attachment liquid frame image set, thereby obtaining a dyeing pattern feature image set, performing graphic splicing and integration on the dyeing pattern feature images in the dyeing pattern feature image set, thereby generating a dyeing pattern feature image of the dyeing object, and performing data information conversion on the dyeing pattern feature image of the dyeing object, thereby generating dyeing pattern feature data information of the dyeing object;

[0164] Extracting color features of the clear attachment liquid frame images in the clear attachment liquid frame image set, thereby obtaining a color feature image set of dyed objects, and performing data conversion on the color feature images of dyed objects in the color feature image set of dyed objects, thereby generating color data information of the dyed objects;

[0165] Summarizing the dyeing pattern characteristic data information and the color data information of the dyeing object, so as to obtain the preliminary image information of the attachment liquid;

[0166] Depth data extraction is performed on the preliminary image information of the attachment fluid according to the pre-trained neural network, thereby obtaining depth image information of the attachment fluid.

[0167] In this embodiment, a video of a semi-finished product in the production process is taken on a conveying device to analyze whether the product in the middle of the production is qualified. Through image processing operations, the dyeing pattern feature data information and the color data information of the dyed product of the semi-finished product in the production process are obtained to provide data support for the subsequent judgment of the qualified condition of the attachment liquid of the dyed product. The preliminary image information of the attachment liquid is deeply extracted to further mine the data information in the preliminary image information of the attachment liquid, so as to play a role in accurately controlling the subsequent judgment of the attachment liquid condition of the dyed product.

[0168] In the embodiment of the present invention, reference Figure 3 Said, for Figure 1 The detailed step flow diagram of step S4, in this embodiment, includes the following steps:

[0169] Step S31: Real-time video of the attachment liquid of the dyed object is obtained by performing real-time video shooting through a shooting module in the transmission device;

[0170] Step S32: framing the real-time video of the attachment liquid of the dyed object, thereby generating a framed atlas of the attachment liquid of the dyed object; and clearly screening the framed images of the attachment liquid of the dyed object in the framed atlas of the attachment liquid of the dyed object according to a preset convolution, thereby obtaining a clear framed atlas of the attachment liquid;

[0171] In an embodiment of the present invention, the clearly screening the attachment liquid frame images of the dyed object in the attachment liquid frame image set of the dyed object according to the preset convolution refers to, wherein the preset convolution refers to a deep learning convolution operation, and image clear screening training is performed according to a large number of video image frame sets to obtain a stable convolution classification model, and the stable convolution classification model is called a preset convolution.

[0172] Step S33: Extract the staining patterns of the stained objects from the clear attachment liquid frame atlas, so as to obtain the graphic feature atlas of the stained objects, and splice and integrate the graphic features of the stained objects in the graphic feature atlas of the stained objects, so as to generate the stained graphic feature map of the stained objects, and perform data information conversion on the stained graphic feature map of the stained objects, so as to generate the stained graphic feature data information of the stained objects;

[0173] In the embodiment of the present invention, the extraction of the staining patterns of the stained objects from the clear attachment liquid frame atlas refers to the extraction of the patterns of each region of the image according to the neural network for image color extraction, or the extraction of the pattern gradient law of each region. The splicing and integration of the graphic features of the stained objects in the graphic feature atlas of the stained objects refers to restoring the graphics to the original graphics according to the extracted data, and saving the graphics behavior in a data form. The data information conversion of the stained graphic feature map of the stained objects refers to further information extraction of the stained graphic feature map of the stained objects obtained by splicing, so as to generate the stained graphic feature data information of the stained objects.

[0174] Step S34: Extract the color features of the clear attachment liquid frame atlas, so as to obtain the color feature atlas of the stained objects, and perform data conversion on the color feature maps of the stained objects in the color feature atlas of the stained objects, so as to generate the color data information of the stained objects;

[0175] In the embodiment of the present invention, the extraction of the color features of the clear attachment liquid frame atlas refers to the extraction of the color features of the clear attachment liquid frame atlas according to the pre-trained deep convolutional neural network. The pre-trained deep convolutional neural network refers to training the convolutional neural network through a large number of color feature images, so as to obtain a relatively stable convolutional neural network, and this convolutional neural network is called the pre-trained deep convolutional neural network. The data conversion of the color feature maps of the stained objects in the color feature atlas of the stained objects refers to converting the image information in the color feature maps of the stained objects in the color feature atlas of the stained objects into data information with practical significance, so as to provide data support for subsequent qualified inventory.

[0176] Step S35: Aggregate the stained graphic feature data information of the stained objects and the color data information of the stained objects, so as to obtain the preliminary image information of the attachment liquid;

[0177] In the embodiment of the present invention, the aggregation of the stained graphic feature data information of the stained objects and the color data information of the stained objects refers to the joint analysis and summary of the stained graphic feature data information of the stained objects and the color data information of the stained objects, so as to obtain the preliminary image information of the attachment liquid.

[0178] Step S36: Extract deep data from the preliminary image information of the adhering liquid according to the pre-trained neural network, so as to obtain the depth image information of the adhering liquid;

[0179] In the embodiment of the present invention, the extraction of deep data from the preliminary image information of the adhering liquid according to the pre-trained neural network means that the pre-trained neural network is a neural network trained through a large amount of data and with regional stability, and is used to extract deep data information from the information.

[0180] In an embodiment of this specification, step S5 includes the following steps:

[0181] Step S71: Perform graphic matching according to the simulated staining map of the adhering liquid pattern and the staining graphic feature map of the stained substance in the depth image information of the adhering liquid, so as to generate a staining graphic feature matching degree. When the staining graphic feature matching degree is less than the preset graphic feature matching degree threshold, execute step S72; when the staining graphic feature matching degree is greater than or equal to the preset graphic feature matching degree threshold, execute step S73;

[0182] Step S72: Perform real-time monitoring on the operation of the foam dyeing equipment, conveying equipment, cleaning equipment and drying equipment, so as to obtain the operation data of the dyeing system, and calculate the graphic deviation according to the staining graphic feature map of the stained substance and the graphic simulation map, so as to obtain the graphic deviation parameter;

[0183] Step S73: Perform color matching according to the color simulation information of the adhering liquid and the color data information of the stained substance in the depth image information of the adhering liquid, so as to generate a color matching degree. When the color matching degree is less than the preset color feature matching degree threshold, execute step S74; when the color matching degree is greater than or equal to the preset color feature matching degree threshold, send a qualified signal to the driving module in the conveying equipment, so that the stained substance is subjected to floating color cleaning in the cleaning equipment, and then the stained substance enters the drying equipment and the stained substance is dried, so as to realize the combined dyeing operation of the equipment and end the dyeing operation;

[0184] Step S74: Perform real-time monitoring on the operation of the foam dyeing equipment, conveying equipment, cleaning equipment and drying equipment, so as to obtain the operation data of the dyeing system, and calculate the color deviation according to the color data information of the stained substance and the color image parameter information, so as to obtain the color deviation parameter;

[0185] Step S75: Aggregate the graphic deviation parameter and the color deviation parameter and label them as the stained substance adjustment parameter, aggregate the staining graphic feature matching degree and the color matching degree and label them as the stained substance matching degree, and aggregate the stained substance adjustment parameter and the stained substance matching degree and label them as the stained substance adjustment combined parameter.

[0186] In this embodiment, the graphic feature map of the adhering liquid of the dyed object is compared with the simulated dyeing map of the adhering liquid in the adhering liquid model of the dyed object first, so as to determine whether the graphic of the adhering liquid of the dyed object meets the requirements, providing data support for the intelligent control of the diversion flow of the dyed object by the conveying device for real-time interpretation. Then, according to the simulated color information of the adhering liquid in the adhering liquid model of the dyed object, the depth image information of the adhering liquid is compared to determine whether the color of the adhering liquid of the dyed object meets the requirements.

[0187] In the embodiment of the present invention, referring to Figure 4 as described, for Figure 1 the detailed step flow schematic diagram of step S5 in

[0188] Step S71: Perform graphic matching on the graphic feature map of the dyed object in the simulated dyeing map of the adhering liquid and the depth image information of the adhering liquid to generate a graphic feature matching degree. When the graphic feature matching degree is less than the preset graphic feature matching degree threshold, execute step S72; when the graphic feature matching degree is greater than or equal to the preset graphic feature matching degree threshold, execute step S73;

[0189] In the embodiment of the present invention, the graphic matching of the graphic feature map of the dyed object in the simulated dyeing map of the adhering liquid and the depth image information of the adhering liquid means matching the graphic feature map of the dyed object in the depth image information of the adhering liquid of the intermediate product dyed object in the production process according to the simulated dyeing map of the adhering liquid obtained by dyeing target analysis, for determining the matching degree of the two objects, so as to be used for judging the qualification of the intermediate product dyed object in the production process;

[0190] Among them, the preset graphic feature matching degree threshold can be obtained through training by convolutional neural network image training, or can be set manually, generally set to 95% of the similarity.

[0191] Step S72: Perform real-time monitoring on the operation of the foam dyeing equipment, conveying equipment, cleaning equipment and drying equipment to obtain the operation data of the dyeing system, and calculate the graphic deviation according to the graphic feature map of the dyed object and the graphic simulation map to obtain the graphic deviation parameter;

[0192] In the embodiment of the present invention, the calculation of the graphic deviation between the graphic feature map of the dyed object and the graphic simulation map means calculating the deviation value of the image drawn on the dyed object, which is used for judging whether the equipment is operating normally to provide data support and for adjusting the operating state of the equipment to provide data support.

[0193] Step S73: Perform color matching based on the color data information of the dyed object in the simulated color information of the adhering liquid and the depth image information of the adhering liquid, so as to generate a color matching degree. When the color matching degree is less than the preset color feature matching degree threshold, execute Step S74; when the color matching degree is greater than or equal to the preset color feature matching degree threshold, send a qualified signal to the transmission module in the transmission device, so that the dyed object is sent to the cleaning device for floating color cleaning, and then the dyed object enters the drying device and is dried, so as to realize the joint dyeing operation of the device and end the dyeing operation;

[0194] In the embodiment of the present invention, the color matching based on the color data information of the dyed object in the simulated color information of the adhering liquid and the depth image information of the adhering liquid means that the color feature information of the dyeing adhering liquid of the dyeing target is matched with the color feature information of the adhering liquid of the dyed object, so as to be used to judge the qualification of the intermediate product dyed object in the production process;

[0195] In the embodiment of the present invention, the dyed object enters the drying module means that the dyed object is conveyed to the drying module according to the transmission module;

[0196] Among them, the preset graphic feature matching degree threshold can be obtained through convolutional neural network image training, or can be manually set, generally set to 95% of the similarity.

[0197] Step S74: Perform real-time monitoring on the operation of the foam dyeing device, the transmission device, the cleaning device and the drying device, so as to obtain the operation data of the dyeing system, and calculate the color deviation according to the color data information and the color image parameter information of the dyed object, so as to obtain the color deviation parameter;

[0198] In the embodiment of the present invention, the calculation of the color deviation between the color data information and the color image parameter information of the dyed object means calculating the deviation value of the color dyed on the dyed object, which is used to judge whether the device is operating normally to provide data support and to adjust the operating state of the device to provide data support.

[0199] Step S75: Aggregate the graphic deviation parameter and the color deviation parameter and label them as the dyed object adjustment parameter, aggregate the graphic feature matching degree and the color matching degree of the dyeing and label them as the dyed object matching degree, and aggregate the dyed object adjustment parameter and the dyed object matching degree and label them as the dyed object adjustment joint parameter;

[0200] In the embodiment of the present invention, it means that the data is jointly summarized to make the data related to each other.

[0201] In an embodiment of this specification, the dyed object deviation parameter includes a graphic deviation parameter and a color deviation parameter, where the graphic deviation parameter is calculated by a graphic deviation calculation formula:

[0202] The graphic deviation calculation formula of the graphic deviation parameter is specifically as follows:

[0203]

[0204] Wherein, T represents the graphic deviation parameter, α represents the weight information of the color change rate of the graphic deviation, θ represents the color change rate of the graphic deviation, β represents the weight information of the color deviation value, S represents the color deviation parameter, j represents a constant term, ε i represents the change rate of the i-th pixel, d represents the adjustment term of the color deviation value, b represents a constant term, γ represents the estimated graphic deviation value of the graphic deviation parameter, b represents the average estimated graphic deviation change value of the graphic deviation parameter, and μ represents the deviation adjustment term;

[0205] The color deviation parameter is obtained by calculating with the color deviation calculation formula, and the color deviation calculation formula is specifically as follows:

[0206]

[0207] Wherein, S represents the color deviation parameter, i represents the i-th pixel point of the color image, A represents the red value in the image color channel, B represents the green value in the image color channel, C represents the blue value in the image color channel, τ represents the color deviation change rate of the color deviation parameter, σ represents the dyeing parameter of the standard dyed object, f represents a constant term, and g represents the deviation adjustment term.

[0208] The graphic deviation calculation formula of the graphic deviation parameter in this embodiment utilizes the weight information α of the color change rate of the graphic deviation, the color change rate θ of the graphic deviation, the weight information β of the color deviation value, and the change rate ε of the i-th pixel i through calculation to obtain the deviation direction of the image, then adjusts the deviation direction according to d cos S + bγ, and uses the derivative of the color change rate relationship of the graphic deviation to obtain the graphic deviation parameter T, so as to calculate considering multiple parameters, making the graphic deviation parameter closer to the actual deviation data value;

[0209] The color deviation calculation formula of the color deviation parameter. The red value A in the image color channel, the green value B in the image color channel collected by the image, and the blue value C in the image color channel are used to obtain the color information of the attachment liquid of the dyed object for the image color, so as to accurately obtain the color information of the attachment liquid of the dyed object, provide more accurate data support for the color deviation parameter. Through the color deviation change rate τ of the color deviation parameter and the dyeing parameter σ of the standard dyed object, calculations are performed using exponential functions and power functions, and the derivative is taken through the change rate of the color deviation change rate τ of the color deviation parameter to obtain the color deviation parameter S, and calculations are carried out considering multiple parameters, so that the color deviation parameter is closer to the actual deviation data value.

[0210] In an embodiment of the present specification, step S6 includes the following steps:

[0211] Obtain the equipment operation specification adjustment direction data;

[0212] According to the equipment operation specification adjustment direction data and the dyed object adjustment joint parameter, perform equipment pre-adjustment simulation, so as to generate equipment specification adjustment data;

[0213] According to the dyeing system operation data and the equipment specification adjustment data, perform situation analysis and adjustment, so that the equipment performs joint dyeing adjustment operations.

[0214] In this embodiment, through the equipment operation specification adjustment direction data and the dyed object adjustment joint parameter, equipment pre-adjustment simulation is performed, so as to determine the parameters for regulating the operation of the equipment without mutual influence between the equipment, and according to the dyeing system operation data and the equipment specification adjustment data, situation analysis and adjustment are performed, so that the equipment is jointly adjusted to improve the long-term efficient operation between the equipment and between the equipment and the system.

[0215] In the embodiment of the present invention, the equipment operation specification adjustment direction data refers to the fixed adjustment of the equipment under certain circumstances, so the adjustment of the equipment has strictness. The equipment pre-adjustment simulation according to the equipment operation specification adjustment direction data and the dyed object adjustment joint parameter means identifying the corresponding adjustment parameters for the dyed object adjustment joint parameter in the equipment operation specification adjustment direction data, and simulating the equipment operation scenario according to the equipment pre-adjustment to determine whether the obtained adjustment constant meets the equipment specification operation and achieves the expected adjustment effect of the equipment, so as to generate equipment specification adjustment data. The situation analysis and adjustment according to the dyeing system operation data and the equipment specification adjustment data means combining the equipment specification adjustment data and the dyeing system operation data to adjust the operation status of the equipment. The reason for using the dyeing system operation data is to ensure that when challenging the equipment operation, the overall operation of the other equipment is not affected, achieve a gradual transition and perform adaptive fine-tuning on other equipment, so that the equipment can operate in a process.

[0216] In one embodiment of the present specification, a multi-device joint control method and system for foam dyeing includes:

[0217] a processor, and

[0218] at least one memory electrically connected to the processor, where a computer program is stored in the memory, and the computer program is used to execute the multi-device joint control method for foam dyeing as described above.

[0219] This embodiment provides a multi-device joint control method and system for foam dyeing. This system can implement any one of the multi-device joint control methods of the present invention, and is a medium for coordinating the operations and data transmission between various devices. By taking pictures of the dyeing target and performing image processing on the video, detailed image information of the dyeing target can be obtained. Through building a model for equipment operation simulation and during the process of equipment debugging, by monitoring the operating conditions of each device, when an emergency occurs, the remaining devices can be quickly adjusted to achieve multi-device joint control.

[0220] In the embodiment of the present invention, referring to Figure 5 as shown, it is a schematic diagram of the data and product flow between the equipment control module of the dyeing system of the present invention and each device. In this example, it includes:

[0221] The dyeing system includes a foam dyeing device, a conveying device, a cleaning device, a drying device, a simulation and acquisition module, and a data control center;

[0222] The foam dyeing device includes a foam manufacturing module, an image imaging module, a foam dyeing control module, and an operation monitoring control module;

[0223] The conveying device includes a transmission module, a video acquisition module, an operation monitoring module, and an image processing module;

[0224] The simulation and acquisition module includes a video acquisition module and a data analysis module;

[0225] The drying device includes a drying module and an operation monitoring control module;

[0226] The cleaning device includes a cleaning module and an operation monitoring control module;

[0227] The data control center includes a simulation operation module and a joint control module;

[0228] Among them, the input of the dyeing system is the dyed material and the dyeing target parameters or samples;

[0229] Among them, the output of the dyeing system is the target finished product;

[0230] Among them, the data control center is the data control center of the dyeing system, which is used to control the joint adjustment operation of the equipment. The conveying equipment is used to convey the dyed objects in the state of the adhering liquid and the objects to be dyed. The simulation and acquisition module is used to acquire the parameters of the dyeing target or analyze the dyeing target sample.

[0231] In this embodiment, by extracting and modeling the data of the dyeing target, the unity of the dyed object and the dyeing target is improved. By performing advanced equipment simulation adjustment operations before equipment adjustment, the time cost and raw material cost brought by equipment adjustment can be greatly reduced. Judging the qualification of the adhering liquid of the dyed object can effectively process the intermediate products, thereby improving the production qualification rate of the equipment. Real-time monitoring of the equipment operation, when a sudden situation occurs, quickly adjusting the other equipment to achieve multi-equipment joint control.

[0232] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any associated drawing marks in the claims should not be regarded as limiting the claimed rights.

[0233] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0234] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-device joint control method for foam dyeing, characterized in that, Applied to a dyeing system, where the dyeing system includes a foam dyeing device, a conveying device, a cleaning device, and a drying device that are communicatively connected. The multi-device joint control method includes the following steps: Step S1: Obtain dyeing target sample data, and perform data integration on the dyeing target sample data to obtain integrated sample data; Step S2: Simulate the operation process of the foam dyeing device according to the integrated sample data to obtain the operation adjustment parameters of the foam dyeing device. Model based on the operation adjustment parameters of the foam dyeing device and the integrated sample data to generate an attachment liquid model of the dyed object, where the attachment liquid model of the dyed object includes an attachment liquid graphic simulation dyeing map and attachment liquid color simulation information; Step S3: Send the operation adjustment parameters of the foam dyeing device to the foam dyeing device control module to enable the foam dyeing device control module to adjust the dyeing system, thereby obtaining the pre-operation data of the dyeing system, and perform pre-operation according to the pre-operation data of the dyeing system to determine whether the device is operating normally; Step S4: Obtain the real-time video of the attachment liquid of the dyed object and perform preliminary image processing on the real-time video of the attachment liquid of the dyed object to obtain the preliminary image information of the attachment liquid, and extract depth data from the preliminary image information of the attachment liquid to obtain the depth image information of the attachment liquid; Step S5: Compare the depth image information of the attachment liquid with the attachment liquid information of the standard dyed object to generate the joint adjustment parameters of the dyed object, and perform real-time monitoring on the operation of the foam dyeing device, the conveying device, the cleaning device, and the drying device to obtain the operation data of the dyeing system; Step S6: Adjust the operation of the dyeing system according to the operation data of the dyeing system and the joint adjustment parameters of the dyed object to enable the device dyeing system to perform joint dyeing adjustment operations.

2. The multi-device joint control method for foam dyeing according to claim 1, characterized in that, The steps of Step S1 for obtaining dyeing target sample data include the following steps: Obtain dyeing target sample data, where obtaining sample data is divided into two methods: video acquisition method and parameter data input method; Among them, the video acquisition method includes the following steps: Collect basic data of the dyeing target sample through a video acquisition device to obtain the dyeing target sample video; Perform frame division on the dyeing target sample video to obtain the frame-divided images of the dyeing target sample; Extract color image information from the frame-divided images of the dyeing target sample to obtain color image parameter information; Extract graphic image information from the frame-divided images of the dyeing target sample to obtain graphic parameter information, and perform simulated drawing according to the graphic parameter information to generate a graphic simulation map; Aggregate and encapsulate the color image parameter information and the graphic simulation map, and label it as dyeing target sample data; Among them, the parameter data input method includes the following steps: Obtain the color image parameters and position numbers of the dyeing target sample; Summarize the color image parameters and position numbers of the dyeing target sample to obtain color image parameter information; Obtain the dyeing target sample map, and perform simulated conversion on the dyeing target sample map to generate a graphic simulation map; Aggregate and encapsulate the color image parameter information and the graphic simulation map, and label it as target sample data.

3. The multi-device joint control method for foam dyeing according to claim 1, wherein The step S1 of integrating the dyed target sample data to obtain the integrated sample data includes the following steps: Access the color formula in the color formula library of the system; Perform color matching on the color image parameter information in the dyed target sample data according to the color formula in the color formula library to generate a matching degree table, and perform real-time screening on the matching degree combinations in the matching degree table according to a preset matching degree threshold to obtain a color formula set; Perform simulation modeling based on the graphic simulation diagram in the dyed target sample data and the color image parameter information in the dyed target sample data to generate a combined graphic and color model of the dyed target sample, and perform sequence data conversion on the combined graphic and color model of the dyed target sample to generate the dyed target sample model data; Aggregate the color formula set and the dyed target sample model data to obtain the integrated sample data.

4. The multi-device joint control method for foam dyeing according to claim 1, characterized in that, The foam dyeing equipment includes a foam manufacturing module and a graphic imaging module. Step S2 includes the following steps: Perform formula-directed adjustment on the foam manufacturing module according to the color formula set in the integrated sample data, and monitor the overall simulation operation parameters of the foam manufacturing module in real time; Input the dyed target sample model data in the integrated sample data into the graphic imaging module, and monitor the overall simulation operation parameters of the graphic imaging module in real time; Aggregate the overall simulation operation parameters of the foam manufacturing module and the overall simulation operation parameters of the graphic imaging module to obtain the operation adjustment parameters of the foam dyeing equipment; Perform basic scenario simulation according to the operation adjustment parameters of the foam dyeing equipment to generate an equipment operation linkage model; Perform sample dyeing preview according to the integrated sample data and the equipment operation linkage model to generate a sample dyeing preview model; Perform attachment liquid simulation according to the sample dyeing preview model to generate an attachment liquid model of the dyed object, where the attachment liquid model of the dyed object includes an attachment liquid graphic simulation dyeing diagram and attachment liquid color simulation information.

5. The multi-device joint control method for foam dyeing according to claim 1, characterized in that, The foam dyeing equipment includes a foam dyeing control module and an operation monitoring control module. Step S3 includes the following steps: Send the operation adjustment parameters of the foam dyeing equipment to the foam dyeing control module to enable the foam dyeing control module to adjust the dyeing system, and perform real-time operation monitoring on the dyeing system according to the operation monitoring control module to obtain the pre-operation data of the dyeing system; Perform pre-operation according to the pre-operation data of the dyeing system to enable the dyeing system to perform a pre-production operation process demonstration and count the demonstration data; Obtain the normal operation state data of the dyeing system and compare it with the demonstration data. When the comparison value between the demonstration data and the normal operation state data of the dyeing system is less than the preset operation threshold, it is determined as abnormal operation and an audible and visual alarm signal for equipment failure is issued. When the comparison value between the demonstration data and the normal operation state data of the dyeing system is greater than the preset operation threshold, it is determined that the equipment is operating normally.

6. The multi-device joint control method for foam dyeing according to claim 1, wherein, Step S4 includes the following steps: Perform real-time shooting through the shooting module in the conveying equipment to obtain the real-time video of the attachment liquid of the dyed object; Perform frame division on the real-time video of the attachment liquid of the dyed object to generate a frame division atlas of the attachment liquid of the dyed object; Screen the framed atlas of the attachment liquid of the dyed object according to the preset convolution to obtain a clear framed atlas of the attachment liquid; Extract the dyeing pattern of the dyed object from the clear framed atlas of the attachment liquid to obtain an atlas of the graphic features of the dyed object, and splice and integrate the graphic features of the dyed object in the atlas of the graphic features of the dyed object to generate a dyed graphic feature map of the dyed object, and convert the data information of the dyed graphic feature map of the dyed object to generate data information of the dyed graphic features of the dyed object; Extract the color features of the dyed object from the clear framed atlas of the attachment liquid to obtain an atlas of the color features of the dyed object, and convert the data of the color features of the dyed object in the atlas of the color features of the dyed object to generate color data information of the dyed object; Summarize the data information of the dyed graphic features of the dyed object and the color data information of the dyed object to obtain preliminary image information of the attachment liquid; Extract deep data from the preliminary image information of the attachment liquid according to the pre-trained neural network to obtain deep image information of the attachment liquid.

7. The multi-device joint control method for foam dyeing according to claim 1, wherein Step S5 includes the following steps: Step S71: Perform graphic matching between the simulated dyeing map of the attachment liquid graphic and the dyed graphic feature map of the dyed object in the deep image information of the attachment liquid to generate a dyed graphic feature matching degree. When the dyed graphic feature matching degree is less than the preset graphic feature matching degree threshold, execute Step S72; when the dyed graphic feature matching degree is greater than or equal to the preset graphic feature matching degree threshold, execute Step S73; Step S72: Monitor the real-time operation of the foam dyeing equipment, conveyor equipment, cleaning equipment and drying equipment to obtain the operation data of the dyeing system, and calculate the graphic deviation according to the dyed graphic feature map of the dyed object and the graphic simulation map to obtain the graphic deviation parameter; Step S73: Perform color matching between the simulated color information of the attachment liquid and the color data information of the dyed object in the deep image information of the attachment liquid to generate a color matching degree. When the color matching degree is less than the preset color feature matching degree threshold, execute Step S74; when the color matching degree is greater than or equal to the preset color feature matching degree threshold, send a qualified signal to the drive module in the conveyor equipment to enable the dyed object to be subjected to floating color cleaning by the cleaning equipment, and then enable the dyed object to enter the drying equipment and dry the dyed object, so as to realize the combined dyeing operation of the equipment and end the dyeing operation; Step S74: Monitor the real-time operation of the foam dyeing equipment, conveyor equipment, cleaning equipment and drying equipment to obtain the operation data of the dyeing system, and calculate the color deviation according to the color data information of the dyed object and the color image parameter information to obtain the color deviation parameter; Step S75: Summarize the graphic deviation parameter and the color deviation parameter and label them as the dyed object adjustment parameter, summarize the dyed graphic feature matching degree and the color matching degree and label them as the dyed object matching degree, and summarize the dyed object adjustment parameter and the dyed object matching degree and label them as the dyed object adjustment joint parameter.

8. The multi-device joint control method for foam dyeing according to claim 7, characterized in that The dyed object deviation parameters include pattern deviation parameters and color deviation parameters, where the pattern deviation parameters are obtained by calculating with the pattern deviation calculation formula: The specific pattern deviation calculation formula for the pattern deviation parameters is as follows: Among them, is represented as a graphic deviation parameter, is represented as the weight information of the color change rate of the graphic deviation, is represented as the color change rate of the graphic deviation, is represented as the weight information of the color deviation value, and S is represented as the color deviation parameter, is represented as a constant term, is represented as the change rate of the i-th pixel, is represented as the adjustment term of the color deviation value, is represented as the estimated graphic deviation value of the graphic deviation parameter, is represented as the average estimated graphic deviation change value of the graphic deviation parameter, is represented as a deviation adjustment term; The color deviation parameters are obtained by calculating with the color deviation calculation formula, and the specific color deviation calculation formula is as follows: Among them, S represents the color deviation parameter, and i represents the i-th pixel point of the color image. represents the red value in the image color channel. represents the green value in the image color channel. represents the blue value in the image color channel. represents the color deviation change rate of the color deviation parameter. represents the dyeing parameter of the standard dyed object. represents the constant term. represents the deviation adjustment term.

9. The multi-device joint control method for foam dyeing according to claim 1, characterized in that, Step S6 includes the following steps: Obtain the device operation specification adjustment direction data; Perform device pre-adjustment simulation according to the device operation specification adjustment direction data and the dyed object adjustment combined parameters, so as to generate device specification adjustment data; Perform situation analysis and adjustment according to the dyeing system operation data and the device specification adjustment data, so that the device performs combined dyeing adjustment operations.

10. A multi-device joint control system for foam dyeing, characterized in that, Including: A processor, and At least one memory electrically connected to the processor, and a computer program is stored in the memory, and the computer program is used to execute the multi-device combined control method for foam dyeing according to any one of claims 1-9.

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