KR20230158295A - Method for saving water in fabric dyeing process, and computing apparatus for performing the method - Google Patents

Abstract

The present invention discloses a method for saving water in a fabric dyeing process and a computing device for performing the method. In detail, the water saving method monitors the dyeing process and washing process of the experimental dyeing machine to calculate the appropriate washing water amount and washing time for the color dyed on the fabric, and derives the washing water quantity and washing time to be applied to the field dyeing machine. Minimizes the amount of fruit washing water wasted during dyeing.

Description

Method for saving water in a fabric dyeing process and computing device for performing the method {METHOD FOR SAVING WATER IN FABRIC DYEING PROCESS, AND COMPUTING APPARATUS FOR PERFORMING THE METHOD}

The present invention relates to a method for saving water, and more specifically, to a method and device for saving water in the process of washing the dyed fabric after dyeing the fabric in a dyeing factory.

Conventionally, after dyeing the fabric, a water washing process is performed to remove unfixed dyes and impurities. In order to reduce the defect rate of the fabric, washing is usually done using an excessive amount of water washing. At this time, at the end of the washing process, the pH of the salt solution in which the dye is dissolved is 7.0, which is neutral, and the turbidity level is low, so it is generally considered to be transparent. However, in the field, water usage is not considered and the characteristics of the dye are not taken into account. I am renting.

Generally, before dyeing large-scale fabrics at a factory, a beaker test (B/T) is performed using a very small amount of dye on a sample fabric in the laboratory. The beaker test involves dyeing a small amount of fabric in advance before mass production, checking the results, and then checking in advance whether there will be any problems during commercialization if the same data is applied to mass production.

The beaker test consists of a CCM (Computer Color Matching) device, CCK (Computer Color Kitchen) device, experimental solution device, dehydrator, and sensor. In order to implement dyeing color, the color data value is found using a CCM device, and the amount of dye required for dyeing is calculated using a CCK device. Afterwards, in the beaker test, the dye is mixed with the prepared water and dyed on the fabric. After the post-processing process is completed, CCM is used to check whether the color intended for dyeing was accurately reproduced. In the beaker test, in order to increase the reproducibility of dyeing, additional lines such as pH, absorption rate, chromaticity, conductivity, and turbidity are installed and monitored in real time.

However, because factory dyeing machines operate at high temperature and high pressure, it is difficult to check the dyeing status in real time. In order to check the dyeing status in real time, a hole is drilled in the dyeing machine, a pipe is drilled, and a sensor is installed to conduct real-time dyeing monitoring research.

In addition, water washing is performed to remove impurities from the fabric, and in both B/T and factory dyeing machines, the amount of water required for washing is adjusted to the operator's setting value. Since the goal is to remove only impurities in the fabric and dyes that are not fixed to the fabric, workers overwash based on experience such as the amount of water used and the number of times of washing, so it is necessary to reduce overwash.

However, since most sites for mass production are small, optimization of energy, including water, used to increase fabric productivity is not considered.

The present invention monitors the dyeing process and the washing process of the experimental dyeing machine for the beaker test to calculate the washing progress rate for the sample fabric, and based on the washing progress rate for the sample fabric, It can provide a water-saving method that more efficiently predicts the flushing progress rate.

The present invention provides a water saving method that reduces the amount of water due to overwashing discarded in an on-site dyeing machine by determining the end point of washing for a large-capacity main fabric based on the water washing progress rate of the on-site dyeing machine predicted in response to the large-capacity main fabric. You can.

A water saving method according to an embodiment of the present invention includes the steps of monitoring the dyeing process and the washing process of the experimental dyeing machine to determine the washing progress rate of the experimental dyeing machine with respect to the sample fabric; Predicting the dyeing process of an on-site dyeing machine using the main fabric and the washing progress rate of the on-site dyeing machine during the washing process based on the washing progress rate of the experimental dyeing machine; and monitoring the dyeing process and washing process of the on-site dyeing machine to determine the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine. may include.

The step of determining the water washing progress rate of the experimental dyeing machine according to an embodiment of the present invention includes measuring a measured value including at least one of the pH concentration, turbidity, conductivity, and water hardness of the water used in the beaker test from a measurement sensor attached to the experimental dyeing machine. collecting; and monitoring the dyeing process and washing process of the experimental dyeing machine through the measurement values to determine the washing progress rate of the experimental dyeing machine with respect to the sample fabric. may include.

The step of determining the flushing progress rate of the experimental dyeing machine according to an embodiment of the present invention includes calculating the neutralization rate and turbidity removal rate at the point and time when the flushing is performed based on the weighing value; and determining the rate of washing progress until the completion of washing of the sample fabric in consideration of the neutralization rate and turbidity removal rate; may include.

The step of calculating the neutralization rate and turbidity removal rate according to an embodiment of the present invention is to calculate the neutralization rate according to the time of flushing by comparing the neutral value of the pH concentration with the measured value of the pH concentration at the time of flushing. It can be calculated.

The step of calculating the neutralization rate and turbidity removal rate according to an embodiment of the present invention is to compare the turbidity at time t-1 when the water washing did not start and the turbidity at the time t when the water washing started to determine the turbidity at the time the water washing was in progress. The removal rate can be calculated.

Predicting the washing progress rate of an on-site dyeing machine according to an embodiment of the present invention includes generating washing experiment information including at least one of washing water amount, washing time, and washing number at the time of completion of washing for the sample fabric; Based on the washing experiment information, generating washing prediction information including at least one of washing water amount, washing time, and washing number for the main fabric in proportion to the capacity of the main fabric that can be processed by the on-site dyeing machine; and predicting a washing progress rate of an on-site dyeing machine for the main fabric based on the washing prediction information. may include.

The step of determining the end point of washing for the main fabric according to an embodiment of the present invention includes monitoring the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow rate sensor installed in the on-site dyeing machine; and determining the end point of washing the main fabric by analyzing the monitored water amount according to the washing progress rate. may include.

A water saving method according to another embodiment of the present invention includes the steps of collecting measurement values during the dyeing process and washing process of the experimental dyeing machine from a measurement sensor attached to the experimental dyeing machine using a sample fabric; Determining the water washing progress rate of the experimental dyeing machine for the sample fabric using the water measurement value; Predicting the washing progress rate of an on-site dyeing machine using a large volume of main fabric based on the washing progress rate of the experimental dyeing machine; Monitoring the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow sensor installed in the on-site dyeing machine; and determining a washing end point for the main fabric by analyzing the monitored water amount according to the washing progress rate of the on-site dyeing machine. may include.

In the step of collecting metric values according to an embodiment of the present invention, metric values including at least one of the pH concentration, turbidity, conductivity, and water hardness of the water used in the dyeing process and washing process of the experimental dyeing machine may be collected. .

The step of determining the flushing progress rate of the experimental dyeing machine according to an embodiment of the present invention includes calculating the neutralization rate and turbidity removal rate at the point and time when the flushing is performed based on the weighing value; and determining the rate of washing progress until the completion of washing of the sample fabric in consideration of the neutralization rate and turbidity removal rate; may include.

The step of calculating the neutralization rate and turbidity removal rate according to an embodiment of the present invention is to calculate the neutralization rate according to the time of flushing by comparing the neutral value of the pH concentration with the measured value of the pH concentration at the time of flushing. It can be calculated.

The step of calculating the neutralization rate and turbidity removal rate according to an embodiment of the present invention is to compare the turbidity at time t-1 when the water washing did not start and the turbidity at the time t when the water washing started to determine the turbidity at the time the water washing progressed. The removal rate can be calculated.

The step of predicting the washing progress rate of an on-site dyeing machine according to an embodiment of the present invention includes a washing test including at least one of the washing water amount, washing time, and washing number at the time of completion of washing of the sample fabric according to the washing progress rate of the experimental dyeing machine. Using the information, the washing progress rate of the on-site dyeing machine can be predicted.

The step of predicting the washing progress rate of the on-site dyeing machine according to an embodiment of the present invention includes the washing water amount, washing time, and number of washing times for the main fabric that are proportional to the capacity of the main fabric that can be processed by the on-site dyeing machine based on the washing experiment information. From at least one, the washing progress rate of the field dyeing machine can be predicted.

In the step of monitoring the amount of water according to an embodiment of the present invention, the amount of water input to perform the dyeing process and the washing process of the on-site dyeing machine can be monitored using a flow sensor installed in the on-site dyeing machine.

In the step of determining the washing end point for the main fabric according to an embodiment of the present invention, the washing end point for the main fabric can be determined by analyzing the ratio of the monitored water amount according to the washing progress rate of the on-site dyeing machine.

In the computing device that performs the water saving method according to an embodiment of the present invention, the computing device includes a processor, and the processor monitors the measurement values during the dyeing process and the washing process of the experimental dyeing machine to conduct an experiment on the sample fabric. Determine the washing progress rate of the dyeing machine, predict the washing progress rate of the field dyeing machine for application to the dyeing process and water washing process of the field dyeing machine using the main fabric, based on the water washing progress rate of the sample fabric, and predict the dyeing process and water washing of the field dyeing machine. By monitoring the process, it is possible to determine the end point of washing for the main fabric according to the washing progress rate of the on-site dyeing machine.

The processor according to an embodiment of the present invention calculates the neutralization rate and turbidity removal rate at the point and time at which water washing is performed based on the weighing value, and considers the neutralization rate and turbidity removal rate to determine the time of completion of water washing for the sample fabric. It is possible to determine the progress of the washing process up to.

The processor according to an embodiment of the present invention can calculate a neutralization rate according to the time in which flushing is performed by comparing the measured value of the pH concentration at the time of flushing with the neutral value of the pH concentration.

The processor according to an embodiment of the present invention can calculate the turbidity removal rate at the time when the water flushing progressed by comparing the turbidity at time t-1, when the water flushing did not start, and the turbidity at the time t, when the water flushing started.

According to one embodiment of the present invention, the water saving method monitors the dyeing process and the washing process of the experimental dyeing machine for the beaker test and calculates the washing progress rate for the sample fabric, so that the water saving process can be used in the actual field based on the washing progress rate for the sample fabric. The washing progress rate of large-capacity main fabrics performed in the dyeing machine can be predicted more efficiently.

According to one embodiment of the present invention, the water saving method determines the end time of washing for a large-capacity main fabric based on the water-washing progress rate of the on-site dyeing machine predicted in response to the large-capacity main fabric, thereby reducing the water washing rate discarded from the on-site dyeing machine. The amount of water used can be reduced.

According to one embodiment of the present invention, the water saving method does not proceed with the washing process of the dyeing machine solely depending on the operator's experience, but monitors each process performed in the experimental dyeing machine and the field dyeing machine, so that each process is performed without installing expensive equipment. The defect rate of the main fabric through the process can be minimized and the productivity of the main fabric can be increased.

Figure 1 is a diagram for explaining the overall operation of monitoring the dyeing process and the washing process according to the washing progress rate of the field dyeing machine according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating detailed operations of a computing device according to an embodiment of the present invention.
Figure 3 is a graph showing a screen visualizing the washing progress rate according to an embodiment of the present invention.
Figure 4 is a flowchart illustrating a water saving method according to an embodiment of the present invention.
Figure 5 is a flowchart illustrating a water saving method according to another embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a diagram for explaining the overall operation of monitoring the dyeing process and the washing process according to the washing progress rate of the field dyeing machine according to an embodiment of the present invention.

Referring to FIG. 1, the computing device 101 may provide a method for saving water used to wash the dyed fabric after dyeing the fabric in a dyeing factory. Computing device 101 may perform a beaker test from a measurement sensor attached to the experimental dyer 103. The beaker test can refer to a standard sample for judging the tone of the main fabric through a dyeing process and washing process using a very small amount of dye before dyeing a large amount of main fabric. The computing device may collect weight values according to the beaker test. Here, the measured value may include at least one of pH concentration, turbidity, conductivity, and water hardness of the water used in the beaker test. The computing device 101 may determine the washing progress rate of the experimental dyeing machine 103 with respect to the sample fabric through the monitored dyeing process and washing process.

Thereafter, the computing device 101 may determine the washing progress rate of the experimental dyeing machine 103 with respect to the sample fabric from the results of monitoring the dyeing process and the washing process of the experimental dyeing machine 103. The computing device 101 may calculate the neutralization rate and turbidity removal rate at the point and time when the flushing is performed based on the metering value. The computing device 101 may determine the rate of washing progress until the completion of washing of the sample fabric by considering the calculated neutralization ratio and turbidity removal ratio.

The computing device 101 can predict the dyeing process of the field dyeing machine 102 using the main fabric and the washing progress rate of the field dyeing machine 102 during the water washing process based on the water washing progress rate of the experimental dyeing machine 103. The computing device 101 may generate washing experiment information including at least one of the amount of washing water, washing time, and number of washing times at the time of completion of washing the sample fabric. The computing device 101 may generate washing prediction information including at least one of the washing water amount, washing time, and washing number for the main fabric in proportion to the capacity of the main fabric that can be processed by the on-site dyeing machine based on the washing experiment information. . The computing device 101 may predict the washing progress rate of the on-site dyeing machine for the main fabric based on the washing prediction information.

The computing device 101 may monitor the dyeing process and the washing process of the on-site dyeing machine and determine the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine. For example, the computing device 101 may monitor the washing progress rate in each process through the main pump speed, main pressure, water supply rank, temperature, and fabric input of the on-site dyeing machine according to the dyeing process and the washing process. The computing device 101 may determine the end point of washing the main fabric according to the progress of washing.

Ultimately, according to the configuration of the present invention, the computing device 101 calculates accurate values such as the amount of washing water and washing time required through the washing process in a beaker test that tests dyeing with a sample fabric, and based on the calculated values, Excessive water use can be prevented by predicting the amount of water required for the washing process at a dyeing factory that dyes the main fabric.

FIG. 2 is a diagram illustrating detailed operations of a computing device according to an embodiment of the present invention.

In S1 (201), the processor 200 may collect measurement values regarding water used in the dyeing process and washing process of the experimental dyeing machine 103 from a measurement sensor attached to the experimental dyeing machine 103 using a sample fabric. The processor 200 can monitor the dyeing process of the sample fabric through the experimental dyeing machine 103 according to the measured value of the water. In detail, the processor 200 can monitor the dyeing process of the sample fabric through the experimental dyeing machine 103. The processor 200 may determine a dye considering at least one of dyeability, fastness, workability, field reproducibility, and cost depending on the material of the sample fabric. Dyes can broadly include ① disperse dyes, ② acid dyes, and ③ reactive dyes.

① Disperse dye

Disperse dyes are manufactured by atomizing the dye with a dispersant to ensure good dispersion in water due to the characteristic of being insoluble in water. However, in order to promote dispersion of the dye during actual dyeing, dyeing can be performed by adding a separate dispersant to the dye solution.

② Acid dye

Acid dyes are water-soluble and can be dyed mainly in an acid bath with added acid. In addition, acid dyes are negatively ionized in a dye bath, form ionic bonds with fibers, and are dyed, so they generally have excellent performance in light fastness, washing fastness, and sweat fastness.

③ Reactive dye

Reactive dyes have high water solubility and are easy to handle, allowing them to have vivid colors and excellent color yield. In addition, reactive dyes have excellent wet fastness and can be applied to various dyeing methods.

Since tone differences and uneven dyeing may occur depending on whether the pretreatment process is performed, the processor 200 can determine a very small amount of dye by considering the material of the sample fabric. For example, the processor 200 may monitor the dyeing process of the sample fabric to ensure uniform dyeing without shrinkage through a process of heat fixing the physical properties of the sample fabric through the experimental dyeing machine 103.

Additionally, the processor 200 can monitor the washing process of the sample fabric for which the dyeing process has been completed. The processor 200 can monitor the washing process of the sample fabric by setting the holding time for each section after reaching the target temperature, arrival time, and target temperature through the components of the pre-processing process. For example, the processor 200 can monitor the washing process, which helps remove dye stains and other dyeing processes by removing NaOH and debris attached to the sample fabric. At this time, the processor 200 may monitor two or more washing processes depending on the sample fabric and dye.

The processor 200 may determine the washing progress rate of the experimental dyeing machine 103 for the sample fabric by monitoring the dyeing process and the washing process of the experimental dyeing machine based on the water metering value.

In S2 (202), the processor 200 can predict the washing progress rate of the field dyeing machine using the main fabric based on the washing progress rate of the experimental dyeing machine. The processor 200 uses washing experiment information including at least one of the washing water amount, washing time, and washing number at the time of completion of washing of the sample fabric according to the washing progress rate of the experimental dyeing machine. The washing progress rate of the field dyeing machine can be predicted. .

In addition, the processor 200 can predict the washing progress rate of the on-site dyeing machine from at least one of the washing water volume, washing time, and number of washing times for the main fabric, which is proportional to the capacity of the main fabric that can be processed by the on-site dyeing machine, based on the washing experiment information. .

In S3 (203), the processor 200 can monitor the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow sensor installed in the on-site dyeing machine. The processor 200 may determine the end point of washing the main fabric by analyzing the monitored water amount according to the washing progress rate.

Figure 3 is a graph showing a screen visualizing the washing progress rate according to an embodiment of the present invention.

Referring to FIG. 3, the computing device can visualize the washing progress rate of the monitored field dyeing machine on a screen and provide it to the manager. The computing device may determine the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine. The computing device may determine the intersection point that satisfies the conditions of the pH neutrality rate and the turbidity removal rate as the flushing end point. The computing device can determine the pH neutrality rate and turbidity removal rate respectively through Equation 1 and Equation 2 below.

The computing device uses the information on the required washing water quantity, washing time, and washing number at the end of the washing process derived from the washing progress rate of the experimental dyeing machine, and uses the washing water quantity, washing time, and Information on the number of times of washing can be predicted. The computing device's energy facility measurement module can monitor cold and hot water from a flow meter to determine the amount of water input to the on-site dyeing facility. The computing device can complete the flushing process at the end of the flushing process based on the derived flushing water volume and flushing time.

Figure 4 is a flowchart illustrating a water saving method according to an embodiment of the present invention.

In step 401, the computing device may monitor the dyeing process and the washing process of the experimental dyeing machine to determine the washing progress rate of the experimental dyeing machine with respect to the sample fabric. In detail, the computing device may collect measurement values including at least one of pH concentration, turbidity, conductivity, and water hardness of the water used in the beaker test from a measurement sensor attached to the experimental dyeing machine. The computing device can monitor the dyeing process and washing process of the experimental dyeing machine through weighing values.

The computing device may determine the washing progress rate of the experimental dyeing machine for the sample fabric in response to the monitored results. Here, the computing device can calculate the neutralization rate and turbidity removal rate at the point and time when the flushing is performed based on the metering value. The computing device can compare the turbidity at time t-1 when the water flushing did not start and the turbidity at the time t when the water flushing started to calculate the turbidity removal rate at the time when the water flushing was in progress.

Thereafter, the computing device may determine the rate of washing progress until the completion of washing of the sample fabric in consideration of the neutralization rate and turbidity removal rate.

In step 402, the computing device may predict the dyeing process of the field dyeing machine using the main fabric and the washing progress rate of the field dyeing machine during the water washing process based on the water washing progress rate of the experimental dyeing machine. In detail, the computing device may generate washing experiment information including at least one of the amount of washing water, washing time, and number of washing times at the time of completion of washing the sample fabric. The computing device may generate washing prediction information including at least one of the washing water amount, washing time, and washing number for the main fabric in proportion to the capacity of the main fabric that can be processed by the on-site dyeing machine based on the washing experiment information. The computing device may predict the washing progress rate of the on-site dyeing machine for the main fabric based on the washing prediction information.

In step 403, the computing device monitors the dyeing process and the washing process of the on-site dyeing machine, and can determine the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine. Here, the computing device can monitor the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow sensor installed in the on-site dyeing machine. The computing device may determine the end point of washing the main fabric by analyzing the monitored water amount according to the washing progress rate.

Figure 5 is a flowchart illustrating a water saving method according to another embodiment of the present invention.

In step 501, the computing device may collect measurement values during the dyeing process and washing process of the experimental dyeing machine from a measurement sensor attached to the experimental dyeing machine using the sample fabric. The computing device may collect measurement values including at least one of pH concentration, turbidity, conductivity, and water hardness of the water used in the dyeing process and washing process of the experimental dyeing machine.

In step 502, the computing device may determine the water washing progress rate of the experimental dyeing machine for the sample fabric using the water metering value. The computing device can calculate the neutralization rate and turbidity removal rate at the point and time of the flushing process based on the weighing value. The computing device may determine the rate of washing progress until the completion of washing of the sample fabric by considering the neutralization rate and turbidity removal rate.

In step 503, the computing device can predict the washing progress rate of an on-site dyeing machine using a large capacity main fabric based on the washing progress rate of the experimental dyeing machine. The computing device can predict the washing progress rate of the field dyeing machine using washing experiment information including at least one of the washing water amount, washing time, and washing number at the time of completion of washing the sample fabric according to the washing progress rate of the experimental dyeing machine.

In addition, the computing device can predict the washing progress rate of the on-site dyeing machine from at least one of the washing water volume, washing time, and washing number of the main fabric that is proportional to the capacity of the main fabric that can be processed by the on-site dyeing machine based on the washing experiment information.

In step 504, the computing device may use a flow sensor installed in the on-site dyeing machine to monitor the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine.

In step 505, the computing device may determine the end point of washing for the main fabric by analyzing the monitored water amount according to the washing progress rate of the on-site dyeing machine. The computing device may determine the end point of washing for the main fabric by analyzing the ratio of the monitored water volume according to the washing progress rate of the on-site dyeing machine.

Meanwhile, the method according to the present invention is written as a program that can be executed on a computer and can be implemented in various recording media such as magnetic storage media, optical read media, and digital storage media.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof. Implementations may include a computer program product, i.e., an information carrier, e.g., machine-readable storage, for processing by or controlling the operation of a data processing device, e.g., a programmable processor, a computer, or multiple computers. It may be implemented as a computer program tangibly embodied in a device (computer-readable medium) or a radio signal. Computer programs, such as the computer program(s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be written as a stand-alone program or as a module, component, subroutine, or part of a computing environment. It can be deployed in any form, including as other units suitable for use. The computer program may be deployed for processing on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communications network.

Processors suitable for processing computer programs include, by way of example, both general-purpose and special-purpose microprocessors, and any one or more processors of any type of digital computer. Typically, a processor will receive instructions and data from read-only memory or random access memory, or both. Elements of a computer may include at least one processor that executes instructions and one or more memory devices that store instructions and data. Generally, a computer may include one or more mass storage devices that store data, such as magnetic, magneto-optical disks, or optical disks, receive data from, transmit data to, or both. It can also be combined to make . Information carriers suitable for embodying computer program instructions and data include, for example, semiconductor memory devices, magnetic media such as hard disks, floppy disks, and magnetic tapes, and Compact Disk Read Only Memory (CD-ROM). ), optical media such as DVD (Digital Video Disk), magneto-optical media such as Floptical Disk, ROM (Read Only Memory), RAM , Random Access Memory), flash memory, EPROM (Erasable Programmable ROM), and EEPROM (Electrically Erasable Programmable ROM). The processor and memory may be supplemented by or included in special purpose logic circuitry.

Additionally, computer-readable media can be any available media that can be accessed by a computer, and can include both computer storage media and transmission media.

Although this specification contains details of numerous specific implementations, these should not be construed as limitations on the scope of any invention or what may be claimed, but rather as descriptions of features that may be unique to particular embodiments of particular inventions. It must be understood. Certain features described herein in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination. Furthermore, although features may be described as operating in a particular combination and initially claimed as such, one or more features from a claimed combination may in some cases be excluded from that combination, and the claimed combination may be a sub-combination. It can be changed to a variant of a sub-combination.

Likewise, although operations are depicted in the drawings in a particular order, this should not be construed as requiring that those operations be performed in the specific order or sequential order shown or that all of the depicted operations must be performed to obtain desirable results. In certain cases, multitasking and parallel processing may be advantageous. Additionally, the separation of various device components in the above-described embodiments should not be construed as requiring such separation in all embodiments, and the described program components and devices may generally be integrated together into a single software product or packaged into multiple software products. You must understand that it is possible.

Meanwhile, the embodiments of the present invention disclosed in the specification and drawings are merely provided as specific examples to aid understanding, and are not intended to limit the scope of the present invention. It is obvious to those skilled in the art that in addition to the embodiments disclosed herein, other modifications based on the technical idea of the present invention can be implemented.

101: computing device
102: On-site dyeing machine
103: Experimental dyeing machine

Claims (20)

Monitoring the dyeing process and washing process of the experimental dyeing machine to determine the washing progress rate of the experimental dyeing machine with respect to the sample fabric;
Predicting the washing progress rate of the field dyeing machine during the dyeing process and water washing process of the field dyeing machine using the main fabric based on the water washing progress rate of the experimental dyeing machine; and
Monitoring the dyeing process and washing process of the on-site dyeing machine to determine the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine;
Water saving methods including. According to paragraph 1,
The step of determining the washing progress rate of the experimental dyeing machine is,
Collecting a measurement value including at least one of pH concentration, turbidity, conductivity, and water hardness of the water used in the beaker test from a measurement sensor attached to the experimental dyeing machine; and
Monitoring the dyeing process and washing process of the experimental dyeing machine through weighing values to determine the washing progress rate of the experimental dyeing machine with respect to the sample fabric;
Water saving methods including. According to paragraph 2,
The step of determining the washing progress rate of the experimental dyeing machine is,
Calculating the neutralization rate and turbidity removal rate at the point and time of the flushing process based on the weighing value; and
Determining the rate of washing progress until the completion of washing of the sample fabric in consideration of the neutralization rate and turbidity removal rate;
Water saving methods including. According to paragraph 3,
The step of calculating the neutralization rate and turbidity removal rate is,
A water saving method that calculates the neutralization rate according to the time of flushing by comparing the measured value of pH concentration at the time of flushing and the neutral value of pH concentration. According to paragraph 3,
The step of calculating the neutralization rate and turbidity removal rate is,
A water saving method that compares the turbidity at time t-1, when flushing has not started, with the turbidity at time t, when flushing has begun, and calculates the turbidity removal rate at the time when flushing is in progress. According to paragraph 3,
The step of predicting the washing progress rate of the field dyeing machine is,
Generating washing experiment information including at least one of washing water amount, washing time, and washing number at the time of completion of washing of the sample fabric;
Based on the washing experiment information, generating washing prediction information including at least one of washing water amount, washing time, and washing number for the main fabric in proportion to the capacity of the main fabric that can be processed by the on-site dyeing machine; and
Predicting a washing progress rate of an on-site dyeing machine for the main fabric based on the washing prediction information;
Water saving methods including. According to paragraph 1,
The step of determining the end point of washing for the main fabric is,
Monitoring the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow sensor installed in the on-site dyeing machine; and
Step to determine the end point of washing the main fabric by analyzing the monitored water volume according to the washing progress
Water saving methods including. Collecting measurement values during the dyeing process and washing process of the experimental dyeing machine from a measurement sensor attached to the experimental dyeing machine using the sample fabric;
Determining the water washing progress rate of the experimental dyeing machine for the sample fabric using the water measurement value;
Predicting the washing progress rate of an on-site dyeing machine using a large volume of main fabric based on the washing progress rate of the experimental dyeing machine;
Monitoring the amount of water input to perform the dyeing process and washing process of the on-site dyeing machine using a flow sensor installed in the on-site dyeing machine; and
Analyzing the monitored water amount according to the washing progress rate of the on-site dyeing machine to determine the washing end point for the main fabric;
Water saving methods including. According to clause 8,
The step of collecting the weighing values is,
A water saving method that collects measurement values including at least one of pH concentration, turbidity, conductivity, and water hardness of water used in the dyeing process and washing process of an experimental dyeing machine. According to clause 8,
The step of determining the washing progress rate of the experimental dyeing machine is,
Calculating the neutralization rate and turbidity removal rate at the point and time of the flushing process based on the weighing value; and
Determining the rate of washing progress until the completion of washing of the sample fabric in consideration of the neutralization rate and turbidity removal rate;
Water saving methods including. According to clause 10,
The step of calculating the neutralization rate and turbidity removal rate is,
A water saving method that calculates the neutralization rate according to the time of flushing by comparing the measured value of pH concentration at the time of flushing and the neutral value of pH concentration. According to clause 10,
The step of calculating the neutralization rate and turbidity removal rate is,
A water saving method that compares the turbidity at time t-1, when flushing has not started, with the turbidity at time t, when flushing has begun, and calculates the turbidity removal rate at the time when flushing is in progress. According to clause 8,
The step of predicting the washing progress rate of the field dyeing machine is,
A water saving method that predicts the washing progress rate of an on-site dyeing machine using washing experiment information including at least one of the washing water amount, washing time, and washing number at the time of completion of washing of the sample fabric according to the washing progress rate of the experimental dyeing machine. According to clause 13,
The step of predicting the washing progress rate of the field dyeing machine is,
A water saving method for predicting the washing progress rate of an on-site dyeing machine from at least one of the washing water amount, washing time, and number of washing times for the main fabric, which is proportional to the capacity of the main fabric that can be processed by the on-site dyeing machine based on the washing experiment information. According to clause 8,
The step of monitoring the water amount is,
A water saving method that monitors the amount of water used to perform the dyeing and washing processes of an on-site dyeing machine using a flow sensor installed in the on-site dyeing machine. According to clause 8,
The step of determining the end point of washing for the main fabric is,
A water saving method that determines the end point of washing for the main fabric by analyzing the ratio of monitored water volume according to the washing progress of the on-site dyeing machine. A computing device that performs a water conservation method, comprising:
The computing device has a processor,
The processor,
Determine the washing progress rate of the experimental dyeing machine for the sample fabric by monitoring the weighing values during the dyeing process and washing process of the experimental dyeing machine,
Based on the washing progress rate for the sample fabric, predict the washing progress rate of the on-site dyeing machine to apply to the dyeing process and washing process of the on-site dyeing machine using the main fabric,
A computing device that monitors the dyeing process and washing process of the on-site dyeing machine and determines the washing end point for the main fabric according to the washing progress rate of the on-site dyeing machine. According to clause 17,
The processor,
Based on the weighing value, the neutralization rate and turbidity removal rate at the point and time of the flushing process are calculated,
A computing device that determines the rate of washing progress up to the completion of washing for a sample fabric, taking into account the neutralization rate and turbidity removal rate. According to clause 18,
The processor,
A computing device that compares the measured value of pH concentration at the time of flushing with the neutral value of pH concentration to calculate the neutralization rate according to the time of flushing. According to clause 18,
The processor,
A computing device that compares the turbidity at time t-1, when the flushing did not start, and the turbidity at the time t when the flushing began, and calculates the turbidity removal rate at the point in time when the flushing was in progress.