Method for prolonging service life of dyeing tank

Abstract

The invention relates to the technical field of physical analysis, and particularly discloses a dyeing tank service life prolonging method, which comprises the steps of initial state data acquisition, network performance stability evaluation, stability control scheme matching and sample final state feedback, and is characterized in that a liquid management assembly responds to a tank liquid sampling instruction of a dyeing tank service life monitoring platform; initial sample state data of the bath solution is automatically collected and transmitted to the monitoring platform, first network performance data is generated in the process and used for evaluating network performance stability indexes and verifying the network performance stability indexes with predefined indexes so as to determine whether to optimize or not, the monitoring platform analyzes the data, obtains state deviation indexes and matches an initial state stability control scheme, and the stability of the bath solution is guaranteed. The automatic dosing assembly executes the scheme, judges a final sample state stability index of the bath solution, compares the final sample state stability index with a predefined index interval, realizes state feedback, realizes automatic management from bath solution sampling to state feedback in the whole process, and ensures stable operation and optimal control of the dyeing bath.

Description

Technical Field

[0001] The invention relates to the technical field of physical analysis, and in particular to a method for extending the life of a dyeing tank. Background Art

[0002] With the increasing competition in the 3C product market, namely computers, communications and consumer electronics, companies need to continuously improve production efficiency and reduce costs while ensuring the stability and consistency of product quality. The existing dyeing process problems restrict the development of companies. Therefore, there is an urgent need for an innovative dyeing process technology that can effectively solve the color difference problem, extend the life of the dyeing tank, and reduce costs to adapt to the rapid changes in the market and the development trend of the industry.

[0003] For example, the invention patent with the announcement number CN103364251B announces a dyeing device for a push-sheet dyeing machine and a dyeing method for a push-sheet dyeing machine, including a dyeing pool, a conveying mechanism and a working position arranged on a closed conveying channel of the conveying mechanism, wherein the working position includes: a blocking and separating mechanism, which is used to block the dyeing pool to be processed at this working position and separate the processed dyeing pool so that the separated dyeing pool is conveyed to the next working position along the closed conveying channel under the conveying of the conveying mechanism; a reagent supply and discharge mechanism, which is used to inject reagents into the dyeing pool and / or discharge reagents in the dyeing pool; a driving mechanism, which is used to drive the blocking and separating mechanism. The dyeing device for the push-sheet dyeing machine keeps the dyeing pool in a closed conveying channel for circulation at all times, the working position blocks and separates the dyeing pool, and injects and discharges dyeing liquid or cleaning liquid into and from the dyeing pool as needed, so that each dyeing pool can be used cyclically.

[0004] For example, the invention patent with announcement number CN116413111B announces an intelligent staining control method and an intelligent staining double-hole machine. The method includes analyzing the initial sample image to determine the target staining area, obtaining the sample characteristic parameters of the target staining area and matching the corresponding injection parameters, sending injection control instructions according to the injection parameters to control the injection component to inject the staining reagent into the target staining area, recording the injection time and injection coordinate area of ​​the target staining area to obtain the injection record information, and controlling the image acquisition component to acquire the regional staining image of each target staining area according to the injection record information and the staining time.

[0005] In combination with the above-mentioned technical solutions, it is found that there are dyeing methods and corresponding device technical solutions. Directly controlling the dyeing process through the dyeing device on the relevant data in the dyeing process will lead to inaccurate control of the dyeing process and even have a negative impact on the dyeing device, ultimately affecting the continuous use of the dyeing device and the continuous detection of the dyeing process. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method for extending the life of a dyeing tank, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for extending the life of a dyeing tank, comprising: initial state data acquisition: a liquid management component responds to and receives a tank liquid sampling instruction issued by a dyeing tank life monitoring platform, thereby the liquid management component automatically acquires state data of an initial sample of the tank liquid, and transmits the state data of the initial sample of the tank liquid to the dyeing tank life monitoring platform; network performance stability assessment: the process of obtaining the state data of the initial sample of the tank liquid and transmitting it to the dyeing tank life monitoring platform corresponds to the first network performance data, thereby assessing the first network performance stability index of the liquid management component-platform, and verifying it with a predefined network performance stability reference index, and determining whether to optimize the first network performance of the liquid management component-platform based on the verification result; stable control scheme matching: the dyeing tank life monitoring platform analyzes the state data of the initial sample of the tank liquid, thereby deriving a state deviation index of the initial sample of the tank liquid, and matching the initial state stability control scheme of the dyeing tank; sample final state feedback: the automatic dosing component receives and executes the initial state stability control scheme issued by the dyeing tank life monitoring platform, thereby determining the state stability index of the final sample of the tank liquid, and comparing it with the adaptation interval corresponding to the predefined state stability index, thereby providing feedback on the final sample state of the tank liquid.

[0008] As a further method, the first network performance stability index of the liquid management component-platform is evaluated, and the specific evaluation process is as follows: the process of transmitting to the dyeing tank life monitoring platform corresponds to the first network performance data, specifically including the network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate in the first transmission cycle, the network transmission duration and the network usage bandwidth; obtaining the total bandwidth of the liquid management component-platform in the first transmission cycle; performing ratio processing on the network usage bandwidth of the liquid management component-platform in the first transmission cycle and the total bandwidth of the liquid management component-platform in the first transmission cycle to obtain the bandwidth utilization of the liquid management component-platform in the first transmission cycle; extracting the bandwidth reference utilization from the life monitoring information library; comprehensively analyzing the network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate of the liquid management component-platform in the first transmission cycle, the network transmission duration of the liquid management component-platform in the first transmission cycle and the bandwidth utilization of the liquid management component-platform in the first transmission cycle to obtain the first network performance stability index of the liquid management component-platform.

[0009] As a further method, the determination of whether to optimize the first network performance of the liquid management component-platform is based on the verification result, and the specific determination process is: the verification result is specifically the first verification result or the second verification result; the first verification result is that the first network performance stability index of the liquid management component-platform is greater than or equal to the network performance stability reference index; the second verification result is that the first network performance stability index of the liquid management component-platform is less than the network performance stability reference index; if the verification result shows the first verification result, there is no need to optimize the first network performance of the liquid management component-platform, and if the verification result shows the second verification result, it is necessary to optimize the first network performance of the liquid management component-platform.

[0010] As a further method, the state deviation index of the initial sample of the tank liquid is obtained, and the specific analysis process is as follows: the temperature values ​​of the initial sample of the tank liquid at each first sampling time point are arranged in order from large to small, and the temperature value ranked first is recorded as the maximum temperature of the initial sample of the tank liquid in the first sampling period, and matched with the dye concentration influence coefficient corresponding to each predefined temperature maximum value interval, so as to obtain the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period; the dye acid-base average value of the initial sample of the tank liquid in the first sampling period is matched with the tank liquid acid-base influence coefficient corresponding to each predefined dye acid-base average value interval. The matching is performed to obtain the acid-base influence coefficient of the initial sample of the tank liquid in the first sampling period; the historical dosing time of the automatic dosing component and the average ambient temperature of the area to which the dyeing tank belongs are obtained; the dosing adaptation time and the ambient adaptation temperature are extracted from the life monitoring information library; according to the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period, the acid-base influence coefficient of the initial sample of the tank liquid in the first sampling period, the historical dosing time of the automatic dosing component, the average ambient temperature of the area to which the dyeing tank belongs, and the first network performance stability index of the liquid management component-platform, a comprehensive analysis is performed to obtain the state deviation index of the initial sample of the tank liquid.

[0011] As a further method, the initial state stability control scheme has a specific control process as follows: performing difference processing on the average initial dye concentration of the initial sample of the tank liquid in the first sampling period and the dye concentration reference value predefined in the initial state stability control scheme to obtain the dye concentration deviation value of the initial sample of the tank liquid in the first sampling period, and matching it with the dye supplementary dosage corresponding to each predefined dye concentration deviation value interval, so as to obtain the dye supplementary dosage; performing difference processing on the average initial acid-base value of the tank liquid in the first sampling period and the tank acid-base reference value predefined in the initial state stability control scheme to obtain the tank acid-base deviation value of the initial sample of the tank liquid in the first sampling period, and matching it with the additive supplementary addition amount corresponding to each predefined tank acid-base deviation value interval, so as to obtain the additive supplementary addition amount of the tank liquid; thus, the initial state stability control scheme is specifically that the automatic dosing component performs automatic dosing operation according to the dye supplementary dosage and the additive supplementary addition amount of the tank liquid, so as to complete the initial state stability control of the dyeing tank.

[0012] As a further method, the state stability index of the final sample of the tank liquid is determined, and the specific determination process is: based on the completion of the initial state stability control of the dyeing tank, the liquid management component responds to the tank liquid re-sampling instruction issued by the dyeing tank life monitoring platform, thereby the liquid management component automatically collects the state data of the final sample of the tank liquid, and transmits the state data of the final sample of the tank liquid to the dyeing tank life monitoring platform; the process of obtaining the state data of the final sample of the tank liquid and transmitting it to the dyeing tank life monitoring platform corresponds to the second network performance data, thereby evaluating the second network performance stability index of the liquid management component-platform; the state data of the final sample of the tank liquid specifically includes the average dye concentration of the final sample of the tank liquid in the second sampling period and the average acid-base value of the tank liquid of the final sample of the tank liquid in the second sampling period; the actual dosing time of the automatic dosing component and the average ambient temperature of the final state area to which the dyeing tank belongs are obtained; according to the average dye concentration of the final sample of the tank liquid in the second sampling period, the average acid-base value of the final sample of the tank liquid in the second sampling period, the actual dosing time of the automatic dosing component, the average ambient temperature of the final state area to which the dyeing tank belongs, and the second network performance stability index of the liquid management component-platform, the state stability index of the final sample of the tank liquid is obtained by comprehensive analysis, and the specific method is as follows: ;

[0013] Wherein, WD is the state stability index of the final sample of the tank liquid, RL is the average dye concentration of the final sample of the tank liquid in the second sampling period, RL' is the dye concentration reference value, PH is the average acid-base value of the tank liquid in the second sampling period of the final sample of the tank liquid, PH' is the reference value of the acid-base value of the tank liquid, GD is the actual dosing time of the automatic dosing component, YY' is the dosing adaptation time, WD is the average ambient temperature of the final state area of ​​the dyeing tank, RS' is the ambient adaptation temperature, XN' is the second network performance stability index of the liquid management component-platform, is the state stability impact factor corresponding to the second network performance stability indicator predefined in the life monitoring information database, and e is a natural constant.

[0014] As a further method, the final sample state of the tank liquid is fed back, and the specific feedback process is: comparing the state stability index of the final sample of the tank liquid with the predefined adaptation interval corresponding to the state stability index; if the state stability index of the final sample of the tank liquid belongs to the adaptation interval corresponding to the state stability index, there is no need to feed back the final sample state of the tank liquid, and at the same time, the dyeing tank life monitoring platform continues to monitor according to the preset tank liquid sampling period; if the state stability index of the final sample of the tank liquid does not belong to the adaptation interval corresponding to the state stability index, the final sample state of the tank liquid is fed back.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a method for extending the life of a dyeing tank. First, the liquid management component responds to the tank liquid sampling instruction of the dyeing tank life monitoring platform, automatically collects and transmits the initial sample state data of the tank liquid to the monitoring platform. This process generates the first network performance data, which is used to evaluate the network performance stability index and verify it with the predefined index to determine whether to optimize. The monitoring platform analyzes the data, obtains the state deviation index, matches the initial state stability control plan, and the automatic dosing component executes this plan to determine the final sample state stability index of the tank liquid and compare it with the predefined index range to achieve state feedback. The whole process realizes the automated management from tank liquid sampling to state feedback, ensuring the stable operation and optimized control of the dyeing tank.

[0016] (2) The present invention analyzes the state data of the initial sample of the tank liquid through the dyeing tank life monitoring platform, and can timely discover the abnormality of the initial sample of the tank liquid, such as deviations in parameters such as concentration, temperature, and pH value, thereby obtaining the state deviation index of the initial sample of the tank liquid. Based on the state deviation index, a more appropriate initial state stability control scheme can be matched, such as adjusting the dosage, changing the dyeing temperature, etc., to ensure the stable operation of the dyeing tank.

[0017] (3) The present invention receives and executes the initial state stability control plan issued by the dyeing tank life monitoring platform through the automatic dosing component, thereby determining the state stability index of the final sample of the tank liquid. By accurately controlling the tank liquid state, the uniformity and reproducibility of dyeing can be improved, thereby ensuring the stability and consistency of dyeing quality. In addition, the deviation of the tank liquid state can be discovered and corrected in time, which can reduce corrosion and wear on the dyeing tank, thereby extending its service life.

[0018] (4) The present invention integrates a liquid management system and an automatic dosing system to monitor and adjust the dye concentration and pH value of the dye tank in real time. The liquid management system regularly collects the tank liquid in the dye tank and performs automatic analysis to obtain dye concentration and pH data. The automatic dosing system accurately replenishes dyes and additives based on the data provided by the liquid management system to ensure that the pH value is always maintained within the standard range, thereby avoiding color difference problems caused by pH fluctuations during the dyeing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0020] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] Reference Figure 1 As shown, the present invention provides a method for extending the life of a dyeing tank, including: initial status data acquisition: the liquid management component responds to a tank liquid sampling instruction issued by a dyeing tank life monitoring platform, whereby the liquid management component automatically acquires status data of an initial sample of the tank liquid, and transmits the status data of the initial sample of the tank liquid to the dyeing tank life monitoring platform.

[0023] It should be explained that the above-mentioned liquid management component is specifically the LTMS (liquid management system) integration: LTMS can automatically collect the tank liquid in the dye tank, and analyze and monitor the dye concentration and pH value in real time. Through this automated monitoring method, the chemical parameter changes in the dye tank can be grasped at any time to ensure that the liquid state in the dye tank is in the best working conditions. The dye concentration and pH information collected by LTMS will be uploaded to the dye tank life monitoring platform (Trace system) in real time for further data tracking and analysis.

[0024] The dyeing tank life monitoring platform is a comprehensive system that integrates data analysis, control and feedback. Its main purpose is to ensure the stable operation of the dyeing tank, extend its service life, and improve the dyeing quality. The dyeing tank life monitoring platform connects the liquid management component and the automatic dosing component to perform data analysis, control and feedback on the tank liquid in the dyeing tank.

[0025] The above-mentioned automatic dosing component is the automatic dosing system, which automatically adjusts the amount of dye and additives added through the real-time data collected by LTMS. Specifically, when LTMS detects that the dye concentration or pH value in the dye tank deviates from the preset standard range, the automatic dosing system will accurately replenish the corresponding dye and additive as needed to ensure that the pH value of the dye tank is always stable between 5.66 and 5.7. This precise control avoids uneven dyeing or color difference problems caused by untimely or inaccurate manual operation.

[0026] It should be explained that the process of stabilizing the tank liquid in the present embodiment is to perform a small portion of sampling and analysis on the tank liquid in the dyeing tank. This is because various analytical reagents are often required to be added to the tank liquid to detect its chemical properties, such as pH value, dye concentration, electrolyte concentration, etc. If the tank liquid of the entire dyeing tank is analyzed, a large amount of reagents are required, while a small portion of sampling and analysis only requires a small amount of reagents to complete the detection, which can significantly reduce the reagent cost and equipment loss, and help extend the service life of the equipment. In addition, a small portion of sampling and analysis can be performed on a simple operating table on site, with low operating difficulty. General technicians can complete the sampling and analysis work after simple training. Due to the small sample size, the analysis process of a small portion of sampling and analysis is short, and the analysis results of the tank liquid can be obtained quickly, which helps to adjust the parameters of the tank liquid in time.

[0027] In this embodiment, the bath liquid sample is in liquid state.

[0028] Network performance stability assessment: The process of obtaining the status data of the initial sample of the tank liquid and transmitting it to the dyeing tank life monitoring platform corresponds to the first network performance data, thereby assessing the first network performance stability index of the liquid management component-platform, and verifying it with the predefined network performance stability reference index, and determining whether to optimize the first network performance of the liquid management component-platform based on the verification result.

[0029] Specifically, the first network performance stability index of the liquid management component-platform is evaluated, and the specific evaluation process is: The process of transmitting to the dyeing tank life monitoring platform corresponds to the first network performance data, specifically including the network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate in the first transmission cycle, the network transmission time and the network usage bandwidth.

[0030] The above-mentioned first transmission cycle refers to the period of time during which the liquid management component transmits data to the dyeing tank life monitoring platform for the first time. It is the time from the start of data transmission by the liquid management component to the completion of all data reception by the dyeing tank life monitoring platform. The first transmission time point is specifically a number of first transmission time points that divide the first transmission cycle into time points, and the division method can be 30 seconds.

[0031] The above-mentioned first network performance data can be extracted from the network operation report of the dyeing tank life monitoring platform.

[0032] Obtain the total bandwidth of the liquid management component-platform in the first transmission cycle, wherein the total bandwidth can be extracted from the network operation report of the dye tank life monitoring platform.

[0033] The network bandwidth used by the liquid management component-platform in the first transmission period is ratioed to the total bandwidth of the liquid management component-platform in the first transmission period to obtain the bandwidth utilization rate of the liquid management component-platform in the first transmission period.

[0034] The bandwidth reference utilization is extracted from the life monitoring information database.

[0035] The network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate of the liquid management component-platform in the first transmission cycle, the network transmission duration of the liquid management component-platform in the first transmission cycle, and the bandwidth utilization rate of the liquid management component-platform in the first transmission cycle are comprehensively analyzed to obtain the first network performance stability index of the liquid management component-platform. The specific analysis method is as follows:

[0036] Where XN is the first network performance stability index of the liquid management component-platform, is the network transmission rate of the liquid management component-platform at the t-th first transmission time point, t is the number of each first transmission time point, t=1,2,3,...,T, T is the total amount at the first transmission time point, It is represented by the amount of network transmission data of the liquid management component-platform in the first transmission cycle, θ is the bandwidth utilization rate of the liquid management component-platform in the first transmission cycle, θ′ is the bandwidth reference utilization rate, is the network packet loss rate of the liquid management component-platform in the first transmission cycle, is the network transmission duration of the liquid management component-platform in the first transmission cycle, The network performance weight corresponding to the network transmission data volume predefined in the life monitoring information database, The network performance weight corresponding to the network packet loss rate predefined in the life monitoring information database, is the network performance weight corresponding to the network transmission time predefined in the life monitoring information database, and e is a natural constant.

[0037] In this embodiment, the first network performance stability index of the liquid management component-platform is used to measure the stability of the network transmission quality between the liquid management component and the dyeing tank life monitoring platform during the data transmission process. The larger the first network performance stability index of the liquid management component-platform, the more stable the network transmission quality during the data transmission process, and the more accurate the analysis of the specific status of the tank liquid by the dyeing tank life monitoring platform.

[0038] It needs to be explained that the above-mentioned network transmission rate refers to the amount of data that can be successfully transmitted per unit time when the liquid management component transmits data to the platform at specific and sequentially arranged time nodes; the network transmission data volume refers to the total amount of data transmitted by the liquid management component to the platform during the first transmission cycle; the bandwidth utilization rate refers to the ratio of the network bandwidth actually used between the liquid management component and the platform to the total available network bandwidth during the first transmission cycle, which reflects the extent to which network resources are effectively utilized during this period of time; the bandwidth reference utilization rate refers to the pre-set adaptation value of the bandwidth utilization rate; the network packet loss rate refers to the ratio of the number of data packets lost in the process of transmitting data from the liquid management component to the platform to the total number of data packets sent during the first transmission cycle; the network transmission time refers to the time interval from the liquid management component sending data to the platform receiving the data, which reflects the speed of data transmission in the network and the efficiency of the network in processing data.

[0039] The network performance weight corresponding to the above-mentioned network transmission data volume, the network performance weight corresponding to the network packet loss rate, and the network performance weight corresponding to the network transmission time are all directly extracted from the life monitoring information database. In the life monitoring information database, there is a specific mapping relationship between the network transmission data volume, the network packet loss rate, and the network transmission time and the corresponding network performance weight. This mapping relationship can be in a one-to-one or many-to-one form. For example, the real-time detected network transmission data volume is substituted into the mapping set to obtain the corresponding network performance weight. In this process, the network transmission data volume is used as input, and the network performance weight is used as output. The mapping set is used to establish a relationship between the two. connection; by substituting the real-time detected network packet loss rate into the mapping set, the corresponding network performance weight can be obtained. In this process, the network packet loss rate is used as input, and the network performance weight is used as output, and the connection between the two is established through the mapping set; by substituting the real-time detected network transmission time into the mapping set, the corresponding network performance weight can be obtained. In this process, the network transmission time is used as input, and the network performance weight is used as output, and the connection between the two is established through the mapping set. In this embodiment, the value ranges of the network performance weight corresponding to the network transmission data volume, the network performance weight corresponding to the network packet loss rate, and the network performance weight corresponding to the network transmission time are all (0, 1).

[0040] In this embodiment, the faster the network transmission rate in the first transmission cycle, the more data is transmitted through the network. When the bandwidth utilization rate is closer to the reference value, the network transmission rate may be closer to the maximum transmission rate identified by the device or network interface, and the data can be transmitted more smoothly. The transmission rate is relatively stable and high. If the bandwidth utilization rate deviates from the reference value and is larger than the reference value, the amount of data transmitted in the network increases, and network congestion may occur, resulting in a decrease in the transmission rate. A higher network packet loss rate usually has a negative impact on the network transmission rate. When packet loss occurs in the network, the liquid management component needs to retransmit the lost data packets, which will take up additional network resources and time, thereby reducing the effective network transmission rate, and an increase in the network packet loss rate will extend the network transmission time. Since packet loss requires retransmission, the additional retransmission process increases the total time of data transmission. Moreover, the higher the packet loss rate, the more retransmissions may be required, further extending the transmission time. In summary, there is a common influence relationship between these parameters, which jointly affect the network performance stability of the liquid management component-platform.

[0041] Furthermore, the determination of whether to optimize the first network performance of the liquid management component-platform based on the verification result is specifically carried out as follows: The verification result is specifically a first verification result or a second verification result.

[0042] The first verification result is that the first network performance stability index of the liquid management component-platform is greater than or equal to the network performance stability reference index predefined in the life monitoring information library.

[0043] The second verification result is that the first network performance stability index of the liquid management component-platform is less than the network performance stability reference index.

[0044] If the verification result shows the first verification result, there is no need to optimize the first network performance of the liquid management component-platform. If the verification result shows the second verification result, it is necessary to optimize the first network performance of the liquid management component-platform.

[0045] The above-mentioned optimization of the first network performance of the liquid management component-platform specifically optimizes the network transmission performance of the dye tank life monitoring platform and the liquid management component. The network traffic is evenly distributed to the multiple servers or links belonging to the dye tank life monitoring platform through the load balancing device to avoid overload of a single server or link, thereby improving the network transmission rate and increasing the amount of network transmission data; bundling multiple physical links into a logical link, increasing the total bandwidth of the liquid management component link, and improving bandwidth utilization; setting the adaptation buffer size of routers, switches and other equipment, so that the liquid management component can minimize queuing delays and reduce network transmission time while ensuring that data packets are not lost; pre-planning the network topology to reduce the number and levels of nodes in the network, thereby reducing network interruptions and packet loss caused by faults.

[0046] Through the above-mentioned optimized manipulation, the liquid management component can transmit various parameters of the liquid in the dyeing tank, such as dye concentration, pH value, temperature, etc. to the monitoring platform in a more timely and accurate manner. Based on these precise data, the monitoring platform can analyze the working status of the dyeing tank in real time. The fast data transmission reduces the communication delay between the liquid management component and the monitoring platform, making the operation control of the dyeing tank more agile, improving the utilization rate of data transmission of the liquid management component of the present invention and the overall dyeing production efficiency, while reducing the packet loss rate to ensure the integrity of the data during the network transmission process, ensuring that the data reaches the monitoring platform accurately for subsequent analysis and control of the tank liquid.

[0047] Stable control scheme matching: The dyeing tank life monitoring platform analyzes the state data of the initial sample of the tank liquid, thereby obtaining the state deviation index of the initial sample of the tank liquid and matching the initial state stable control scheme of the dyeing tank.

[0048] Furthermore, the status data of the initial sample of the bath liquid specifically includes the average initial concentration of the dye of the initial sample of the bath liquid in the first sampling period, the average initial acid-base value of the bath liquid of the initial sample of the bath liquid in the first sampling period, the temperature value of the initial sample of the bath liquid at each first sampling time point and the average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period.

[0049] The above-mentioned first sampling period refers to a period of time used for the first sampling and analysis of the tank liquid, which is the time from the start of sampling the tank liquid to the completion of the tank liquid analysis. The first sampling time point is specifically a number of first sampling time points that divide the first sampling period into time points, where the division method can be 5 seconds. The first sampling period is determined by the dyeing operator based on a comprehensive analysis of factors such as the tank liquid state, the dyeing tank state, and the sampling environment.

[0050] The status data of the initial sample of the above-mentioned tank liquid can be detected by the sensor belonging to the dyeing tank. For example, the initial concentration of the dye can be detected by a concentration photo sensor, the temperature can be detected by a temperature sensor, and the pH value of the dye can be detected by a pH indicator.

[0051] Specifically, the state deviation index of the initial sample of the tank liquid is obtained, and the specific analysis process is as follows: The temperature values ​​of the initial sample of the tank liquid at each first sampling time point are arranged in order from large to small, and the temperature value ranked first is recorded as the maximum temperature of the initial sample of the tank liquid in the first sampling period, and matched with the dye concentration influence coefficient corresponding to each temperature maximum value interval predefined in the life monitoring information library. The specific matching process is: obtain a mapping set between the maximum temperature of the initial sample of the tank liquid in the first sampling period and the dye concentration influence coefficient from the life monitoring information library, determine the interval to which the maximum temperature of the initial sample of the tank liquid in the first sampling period belongs, and assign the dye concentration influence coefficient corresponding to the interval to the initial sample of the tank liquid corresponding to the maximum temperature in the first sampling period, so as to obtain the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period.

[0052] It should be explained that when the maximum temperature of the initial sample of the bath liquid in the first sampling period is greater, the dye concentration influence coefficient of the initial sample of the bath liquid in the first sampling period is greater, so that the impact on the state of the initial sample of the bath liquid is greater, resulting in a greater deviation index.

[0053] The average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period is matched with the bath liquid acid-base influence coefficient corresponding to each predefined interval of the average acid-base value of the dye in the life monitoring information library. The specific matching process is: obtain a mapping set between the average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period and the acid-base influence coefficient of the bath liquid from the life monitoring information library, determine the interval to which the average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period belongs, and assign the bath liquid acid-base influence coefficient corresponding to the interval to the initial sample of the bath liquid corresponding to the average acid-base value of the dye in the first sampling period, so as to obtain the bath liquid acid-base influence coefficient of the initial sample of the bath liquid in the first sampling period.

[0054] It should be explained that when the average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period is larger, the acid-base influence coefficient of the initial sample of the bath liquid in the first sampling period is larger, so that the impact on the state of the initial sample of the bath liquid is greater, resulting in a larger deviation index.

[0055] Obtain the historical dosing time of the automatic dosing component and the average ambient temperature of the area where the dyeing tank belongs.

[0056] The above historical dosing time can be extracted from the historical operation report of the automatic dosing component, and the ambient temperature can be detected by a thermometer.

[0057] The dosing adaptation time and the environmental adaptation temperature are extracted from the life monitoring information database.

[0058] According to the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period, the tank liquid acid-base influence coefficient of the initial sample of the tank liquid in the first sampling period, the historical dosing time of the automatic dosing component, the average ambient temperature of the area to which the dyeing tank belongs, and the first network performance stability index of the liquid management component-platform, a comprehensive analysis is performed to obtain the state deviation index of the initial sample of the tank liquid. The specific method is as follows:

[0059] Wherein, PL is the state deviation index of the initial sample of the tank liquid, RX is the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period, CX is the tank liquid acid-base influence coefficient of the initial sample of the tank liquid in the first sampling period, YY is the historical dosing time of the automatic dosing component, YY' is the dosing adaptation time, RS is the average ambient temperature of the area where the dyeing tank belongs, RS' is the ambient adaptation temperature, XN is the first network performance stability index of the liquid management component-platform, is the state deviation influence factor corresponding to the dye concentration influence coefficient predefined in the life monitoring information library, It is the state deviation influence factor corresponding to the acid-base influence coefficient of the tank liquid predefined in the life monitoring information library. is the state deviation impact factor corresponding to the first network performance stability indicator predefined in the life monitoring information database, and e is a natural constant.

[0060] In this embodiment, the state deviation index of the initial sample of the tank liquid is a numerical value used to measure the degree of difference between the initial state of the tank liquid and its ideal state. The larger the state deviation index of the initial sample of the tank liquid, the greater the difference between the initial state of the tank liquid and its ideal state, and the stronger the demand for controlling the stable state of the tank liquid.

[0061] It needs to be explained that the above-mentioned dye concentration influence coefficient refers to the quantitative indicator of the influence of the dye concentration in the initial sample of the bath liquid on the initial state of the bath liquid during the first sampling period; the bath liquid acid-base influence coefficient refers to the quantitative indicator of the influence of the bath liquid acid-base value in the initial sample of the bath liquid on the initial state of the bath liquid during the first sampling period; the historical dosing time refers to the total time that the automatic dosing component actually performed the dosing operation during the previous round of control; the dosing adaptation time refers to the standard value corresponding to the pre-set dosing time; the mean ambient temperature refers to the average value of the ambient temperature within the spatial range to which the dyeing tank belongs; the ambient adaptation temperature refers to the standard value corresponding to the pre-set ambient temperature.

[0062] The state deviation influence factor corresponding to the dye concentration influence coefficient, the state deviation influence factor corresponding to the bath liquid acid-base influence coefficient, and the state deviation influence factor corresponding to the first network performance stability index are all directly extracted from the life monitoring information library. In the life monitoring information library, there is a specific mapping relationship between the dye concentration influence coefficient, the bath liquid acid-base influence coefficient, and the first network performance stability index and the corresponding state deviation influence factor. This mapping relationship can be in a one-to-one or many-to-one form. For example, by substituting the dye concentration influence coefficient detected in real time into the mapping set, the corresponding state deviation influence factor can be obtained. In this process, the dye concentration influence coefficient is used as input and the state deviation influence factor is used as output, and the connection between the two is established through the mapping set; By substituting the tank liquid acid-base influence coefficient detected in real time into the mapping set, the corresponding state deviation influence factor can be obtained. In this process, the tank liquid acid-base influence coefficient is used as input, and the state deviation influence factor is used as output, and the connection between the two is established through the mapping set; by substituting the first network performance stability index detected in real time into the mapping set, the corresponding state deviation influence factor can be obtained. In this process, the first network performance stability index is used as input, and the state deviation influence factor is used as output, and the connection between the two is established through the mapping set. In this embodiment, the state deviation influence factor corresponding to the dye concentration influence coefficient, the state deviation influence factor corresponding to the tank liquid acid-base influence coefficient, and the state deviation influence factor corresponding to the first network performance stability index are all in the value range of (0, 1).

[0063] In this embodiment, the dye concentration influence coefficient and the bath liquid acid-base influence coefficient are both positively correlated with the state deviation index. If the maximum temperature of the initial bath liquid sample is detected to be large and deviates from the ideal temperature of the bath liquid, for example, the maximum temperature of the initial bath liquid sample is detected to be 45 degrees Celsius, while the ideal temperature of the bath liquid is 30 degrees Celsius, it will have a greater impact on the dye concentration in the initial bath liquid sample, so that the dye concentration may be unstable, so that the dye concentration may deviate from the ideal value, so that the state deviation index is higher. Similarly, the dye acid-base value of the initial bath liquid sample will also have a greater impact on the bath liquid acid-base value, so that the bath liquid acid-base influence coefficient is large, so that the initial state of the bath liquid is relatively deviated from the ideal state; and inappropriate dosing time may also lead to uneven distribution of chemical components in the bath liquid or too high or too low concentration, thereby increasing the state deviation index; too high or too low ambient temperature may lead to instability of bath liquid performance, thereby increasing the state deviation index. For example, at too high an ambient temperature, the chemical components in the bath liquid may be more likely to decompose or polymerize, causing the bath liquid performance to deviate from the ideal state.

[0064] In this embodiment, the larger the first network performance stability index of the liquid management component-platform is, the higher the stability and reliability of the liquid management component-platform in terms of network communication. This helps to ensure that the relevant data of the initial sample of the tank liquid, such as dye concentration, pH, temperature, etc., will not be lost, delayed or erroneous during the transmission process. The accuracy and reliability of the data are the basis for evaluating the deviation index of the initial sample state of the tank liquid. Therefore, the stability of the network performance is crucial to ensure the accuracy of the evaluation results. In the case of unstable network performance, data transmission may fluctuate or be interrupted, resulting in errors or uncertainties in the data of the initial sample of the tank liquid, making it impossible to accurately reflect the actual state of the tank liquid.

[0065] Specifically, the matching process of the initial state stabilization control scheme of the dyeing tank is as follows: The state deviation index of the initial sample of the tank liquid is subjected to difference processing with the state deviation index boundary value predefined in the life monitoring information library to obtain the state deviation degree value of the initial sample of the tank liquid, and the state deviation degree value is matched with the initial state stability control scheme corresponding to each state deviation degree value interval predefined in the life monitoring information library. The specific matching process is: directly extract the mapping set between the state deviation degree value of the initial sample of the tank liquid and the initial state stability control scheme from the life monitoring information library, determine the interval to which the state deviation degree value of the initial sample of the tank liquid belongs, and obtain the initial state stability control scheme corresponding to the interval, so as to match and obtain the initial state stability control scheme of the dyeing tank.

[0066] It should be explained that the stable state of the initial sample of the tank liquid in the dyeing tank in this embodiment is complex and dynamically changing. The dye concentration does not exist in isolation. It interacts with factors such as the pH value and temperature of the tank liquid. For example, under different acid-base environments, the degree of ionization and chemical activity of the dye are different, which directly affects the ability of the dye to bind to the product and the dyeing effect. When the pH value deviates from the appropriate range, even if the dye concentration is near the initial reference value, it may cause problems such as uneven dyeing, color deviation or insufficient fastness. Therefore, it is far from enough to focus on the single monitoring and adjustment of the dye concentration. It is difficult to achieve accurate control of the stable operation of the dyeing tank and the dyeing quality. Therefore, the state deviation index of the initial sample of the tank liquid incorporates multiple factors. By comprehensively weighing these variables, it can fully understand the deviation of the initial state of the tank liquid from the ideal state. The state deviation index has laid a solid foundation for accurately determining the state of the tank liquid and accurately matching the control scheme, and has effectively guaranteed the stable and efficient operation of the dyeing tank, the consistency of the dyeing quality, and the extension of the service life of the dyeing tank.

[0067] Furthermore, the initial state stabilization control scheme has a specific control process as follows: The average initial dye concentration of the initial sample of the tank liquid in the first sampling period is subjected to difference processing with the dye concentration reference value predefined in the initial state stability control scheme to obtain the dye concentration deviation value of the initial sample of the tank liquid in the first sampling period, and the dye supplementary dosage corresponding to each dye concentration deviation value interval predefined in the life monitoring information library is matched. The specific matching process is: directly extracting the mapping set between the dye concentration deviation value of the initial sample of the tank liquid in the first sampling period and the dye supplementary dosage from the life monitoring information library, determining the interval to which the dye concentration deviation value of the initial sample of the tank liquid in the first sampling period belongs, and obtaining the dye supplementary dosage corresponding to the interval, thereby obtaining the dye supplementary dosage.

[0068] The average initial acid-base value of the initial sample of the bath liquid in the first sampling period is differenced with the acid-base reference value of the bath liquid predefined in the initial state stability control scheme to obtain the acid-base deviation value of the bath liquid in the first sampling period, and the difference is matched with the additive supplementary addition amount corresponding to each bath liquid acid-base deviation value interval predefined in the life monitoring information library. The specific matching process is: directly extracting the mapping set between the average initial acid-base value of the bath liquid in the first sampling period and the additive supplementary addition amount from the life monitoring information library, determining the interval to which the initial acid-base value of the bath liquid in the first sampling period belongs, and obtaining the additive supplementary addition amount corresponding to the interval, thereby obtaining the additive supplementary addition amount of the bath liquid.

[0069] In the embodiment, the initial state of the dyeing tank is stably controlled to ensure that the pH value of the tank liquid is always maintained within the standard range, that is, [5.66, 5.7]. In a specific embodiment, if the absolute value of the dye concentration deviation value is 10, the detected pH of the tank liquid is less than 5.66, and the dye is added at 30 ml / min / time until the pH returns to 5.69 and the addition is stopped. If the absolute value of the acid-base deviation value of the tank liquid is 0.5, the detected pH of the tank liquid is greater than 5.69, and the automatic dosing component automatically adds additives at 50 ml / min / time until the pH returns to 5.67 and the addition is stopped.

[0070] It should be explained that the above-mentioned additive is prepared by mixing pH-5 with 60g / L glacial acetic acid. When the pH value of the bath liquid is greater than 5.69 (alkaline), the glacial acetic acid will react with the hydroxide ions in the bath liquid, consume the hydroxide ions, and lower the pH value; when the pH value of the bath liquid is less than 5.66 (acidic), the buffer substance of pH-5 can play a buffering role. For example, its salt component can combine with excess hydrogen ions, thereby alleviating the problem of excessive acidity to a certain extent.

[0071] The initial state stabilization control scheme is specifically that the automatic dosing component performs automatic dosing operations according to the supplementary dosage of the dye and the supplementary dosage of the tank liquid additive, thereby completing the initial state stabilization control of the dyeing tank.

[0072] Feedback on the final state of the sample: The automatic dosing component receives and executes the initial state stability control plan issued by the dyeing tank life monitoring platform, thereby determining the state stability index of the final sample of the tank liquid, and comparing it with the predefined state stability index corresponding to the adaptation interval, so as to provide feedback on the final sample state of the tank liquid.

[0073] Specifically, the determination process of the state stability index of the final sample of the tank liquid is as follows: Based on completing the initial state stabilization control of the dyeing tank, the liquid management component responds to receiving the tank liquid re-sampling instruction issued by the dyeing tank life monitoring platform, thereby automatically collecting the status data of the tank liquid final sample and transmitting the status data of the tank liquid final sample to the dyeing tank life monitoring platform.

[0074] The process of obtaining the status data of the final sample of the tank liquid and transmitting it to the dye tank life monitoring platform corresponds to the second network performance data, thereby evaluating the second network performance stability index of the liquid management component-platform.

[0075] The above-mentioned second network performance data specifically includes the network transmission rate of the liquid management component-platform at each second transmission time point, the network packet loss rate in the second transmission cycle, the network transmission time, the network usage bandwidth and the total bandwidth.

[0076] The specific method for evaluating the second network performance stability index of the liquid management component-platform is the same as the specific method for evaluating the first network performance stability index of the liquid management component-platform, and will not be repeated in this embodiment.

[0077] The second transmission period refers to the duration during which the liquid management component transmits data to the dye tank life monitoring platform for the second time, which is the duration from the start of data transmission by the liquid management component to the completion of data reception by the dye tank life monitoring platform.

[0078] The state data of the final sample of the bath liquid specifically includes an average value of the dye concentration of the final sample of the bath liquid in the second sampling period and an average value of the acidity and alkalinity of the final sample of the bath liquid in the second sampling period.

[0079] The above-mentioned second sampling period refers to a period of time used for the second sampling and analysis of the tank liquid, which is the time from the start of sampling the tank liquid to the completion of the tank liquid analysis. The second sampling time point is specifically a number of second sampling time points divided by the time point of the first sampling period, where the division method can be 5 seconds. The second sampling period is determined by the dyeing operator based on a comprehensive analysis of factors such as the tank liquid state, the dyeing tank state, and the sampling environment.

[0080] The above average dye concentration and average bath liquid acid-base value can be detected by sensors, specifically concentration sensors and acid-base indicators.

[0081] The actual dosing time of the automatic dosing component and the average ambient temperature of the final state area of ​​the dyeing tank are obtained.

[0082] The actual dosing time can be detected by a timer, and the ambient temperature can be detected by a thermometer.

[0083] According to the average dye concentration of the final sample of the tank liquid in the second sampling period, the average acid-base value of the final sample of the tank liquid in the second sampling period, the actual dosing time of the automatic dosing component, the average ambient temperature of the final state area of ​​the dyeing tank, and the second network performance stability index of the liquid management component-platform, the state stability index of the final sample of the tank liquid is obtained by comprehensive analysis. The specific method is as follows:

[0084] Wherein, WD is the state stability index of the final sample of the tank liquid, RL is the average dye concentration of the final sample of the tank liquid in the second sampling period, RL' is the dye concentration reference value, PH is the average acid-base value of the tank liquid in the second sampling period of the final sample of the tank liquid, PH' is the reference value of the acid-base value of the tank liquid, GD is the actual dosing time of the automatic dosing component, YY' is the dosing adaptation time, WD is the average ambient temperature of the final state area of ​​the dyeing tank, RS' is the ambient adaptation temperature, XN' is the second network performance stability index of the liquid management component-platform, is the state stability impact factor corresponding to the second network performance stability indicator predefined in the life monitoring information database, and e is a natural constant.

[0085] In this embodiment, the state stability index of the final sample of the tank liquid is used to evaluate the stability of the physical and chemical properties of the tank liquid after completing the initial state stability control of the dyeing tank. This is of great significance for ensuring the consistency of the dyeing process, the stability of product quality, and the efficient and reliable operation of the entire production process.

[0086] It should be explained that the above-mentioned dye concentration average refers to the arithmetic mean of the measured values ​​after multiple dye concentration measurements are performed on the final sample of the bath liquid within the second sampling period, which reflects the average level of dye concentration in the bath liquid within the sampling period; the dye concentration reference value refers to the adaptation value corresponding to the dye concentration predefined in the life monitoring information library; the bath liquid pH average value refers to the arithmetic mean of the measured values ​​after multiple bath liquid pH measurements are performed on the final sample of the bath liquid within the second sampling period, which reflects the average level of pH in the bath liquid within the sampling period; the bath liquid pH reference value refers to the adaptation value corresponding to the bath liquid pH predefined in the life monitoring information library; the actual dosing time refers to the total time that the automatic dosing component actually performs the dosing operation during this control process; the ambient temperature average refers to the average value of the ambient temperature in the final state area of ​​the dyeing tank after dosing control.

[0087] The state stability influencing factor corresponding to the above-mentioned second network performance stability indicator is obtained from the life monitoring information library. In the life monitoring information library, there is a specific mapping relationship between the second network performance stability indicator and the state stability influencing factor. This mapping relationship can be in a one-to-one or many-to-one form. For example, by substituting the second network performance stability indicator detected in real time into the mapping set, the corresponding state stability influencing factor can be obtained. In this process, the second network performance stability indicator is used as input and the state stability influencing factor is used as output. The connection between the two is established through the mapping set. In this embodiment, the value range of the state stability influencing factor corresponding to the second network performance stability indicator is (0, 1).

[0088] In this embodiment, the pH of the bath liquid affects the chemical stability and solubility of the dye. When the average pH value of the bath liquid approaches the reference value, the ionization state and chemical activity of the dye molecules are relatively stable in a suitable pH environment, which helps the dye to be evenly dispersed in the bath liquid at a stable concentration, so that the average dye concentration is easier to maintain near the reference value; the actual dosing time approaches the reference value, which means the accuracy and stability of the dosing process. A reasonable dosing time can accurately control the amount of dye added to maintain the dye concentration at a stable average level. If the dosing time is too short, insufficient dye addition may occur, and the average dye concentration is lower than the reference value, affecting the dyeing effect; and if the dosing time is too long, excessive dye addition may occur, which not only wastes dyes, but also may cause other problems such as uneven dyeing and color difference due to excessive dye concentration; the ambient temperature will affect the equilibrium constant of the acid-base reaction. When the average ambient temperature approaches the reference value, the balance of the acid-base reaction is relatively stable, which helps to maintain the stability of the average pH value of the bath liquid; in summary, there is a close relationship between the above parameters, which has an important impact on the state stability index of the final sample of the bath liquid.

[0089] In this embodiment, the larger network performance stability index means that the data packet loss rate during network transmission is low, the delay is small, and the transmission rate is stable. This can effectively reduce the fluctuations in the monitoring and control of the tank liquid parameters caused by data transmission problems, ensure the stable transmission of the tank liquid data, and enable the control system to smoothly maintain the tank liquid within an appropriate range, which is beneficial to maintaining the overall stability of the tank liquid, including the stability of indicators such as dye concentration and pH, thereby promoting the improvement of the stability index of the final sample state of the tank liquid.

[0090] Furthermore, the final sample state of the tank liquid is fed back, and the specific feedback process is: The state stability index of the final sample of the tank liquid is compared with the corresponding adaptation interval of the state stability index predefined in the life monitoring information library. If the state stability index of the final sample of the tank liquid belongs to the corresponding adaptation interval of the state stability index, there is no need to feedback the state of the final sample of the tank liquid. At the same time, the dyeing tank life monitoring platform continues to monitor according to the preset tank liquid sampling period.

[0091] The above-mentioned preset tank liquid sampling period is set to 20 minutes in this embodiment.

[0092] If the state stability index of the final sample of the tank liquid does not belong to the corresponding adaptation interval of the state stability index, the state of the final sample of the tank liquid is fed back.

[0093] Specifically, the feedback on the final sample state of the tank liquid is specifically the feedback on the initial corrosion state of the dyeing tank. The specific feedback process is to check the initial state of the anti-corrosion coating of the dyeing tank body before the stable control operation. Before control, its initial state may be worn, so that the tank body material enters the tank liquid, and the chemical substances in the tank liquid react chemically, changing the chemical composition of the tank liquid, thereby affecting the detection of the dye concentration and the pH value of the tank liquid, and detecting the position height of the tank liquid in the dyeing tank. If the liquid level is too low, the tank body will be exposed to the air, aggravating the corrosion of the tank body, and further affecting the tank liquid circulation, making the dye concentration, tank liquid pH value, dyeing time and other parameters in an unstable state, reducing the state stability of the tank liquid sample and the dyeing efficiency.

[0094] In order to more specifically illustrate the actual effect brought by the present invention, in a specific embodiment, the service life of the dyeing tank is recorded by comparing the dyeing tank of the same color without adding additives and adding additives. This verification determines whether the dyeing tank is invalid by the color difference difference between the front and side of the material during dyeing. Therefore, in this verification, only additives are added to maintain pH, and automatic dye addition is not used temporarily to prevent interference with the color system. The material is continuously added until the color difference difference between the front and side of a rod of material is greater than 1. The difference greater than 1 indicates that the dyeing tank is invalid, and the additive addition standard is as follows: When the pH is between [5.66, 5.69], no additives are added.

[0095] When pH is less than 5.66, no additives are added until the pH rises back to 5.69.

[0096] When pH>5.69, it will automatically add 50ml / min / time until the pH returns to 5.67 and then stop adding.

[0097] The additive is prepared by mixing pH-5 with 60g / L glacial acetic acid.

[0098] Therefore, through the above-mentioned scheme operation explanation, the specific scheme corresponding to the extension of the dyeing tank life is: Two dyeing tanks with the same color and bathing conditions are prepared at the same time. No additives are added to one dyeing tank, and additives are added to the other dyeing tank using the solution of the present invention. Feeding is continued until the color difference between the front and side surfaces of the material is greater than 1. The number of feeding rods is counted and used as an evaluation index. The more feeding rods there are, the longer the life of the dyeing tank.

[0099] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for extending the life of a dyeing tank, characterized in that: include: Initial state data collection: the liquid management component responds to the tank liquid sampling instruction issued by the dye tank life monitoring platform, whereby the liquid management component automatically collects the state data of the initial sample of the tank liquid, and transmits the state data of the initial sample of the tank liquid to the dye tank life monitoring platform; Network performance stability assessment: The process of obtaining the status data of the initial sample of the tank liquid and transmitting it to the dye tank life monitoring platform corresponds to the first network performance data, thereby assessing the first network performance stability index of the liquid management component-platform, and verifying it with the predefined network performance stability reference index, and determining whether to optimize the first network performance of the liquid management component-platform based on the verification result; Stable control scheme matching: The dyeing tank life monitoring platform analyzes the state data of the initial sample of the tank liquid, thereby obtaining the state deviation index of the initial sample of the tank liquid, and matching the initial state stable control scheme of the dyeing tank; Feedback on the final state of the sample: The automatic dosing component receives and executes the initial state stability control plan issued by the dyeing tank life monitoring platform, thereby determining the state stability index of the final sample of the tank liquid, and comparing it with the predefined state stability index corresponding adaptation interval, so as to provide feedback on the final sample state of the tank liquid.

2. A method for extending the life of a dyeing tank according to claim 1, characterized in that: The first network performance stability index of the liquid management component-platform is evaluated, and the specific evaluation process is: The process of transmitting to the dye tank life monitoring platform corresponds to the first network performance data, specifically including the network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate in the first transmission cycle, the network transmission time, and the network usage bandwidth; Obtaining the total bandwidth of the liquid management component-platform in the first transmission cycle; The network bandwidth used by the liquid management component-platform in the first transmission period is processed by ratio processing with the total bandwidth of the liquid management component-platform in the first transmission period to obtain the bandwidth utilization rate of the liquid management component-platform in the first transmission period; Extracting bandwidth reference utilization from the life monitoring information database; A comprehensive analysis is performed on the network transmission rate of the liquid management component-platform at each first transmission time point, the network packet loss rate of the liquid management component-platform in the first transmission cycle, the network transmission duration of the liquid management component-platform in the first transmission cycle, and the bandwidth utilization of the liquid management component-platform in the first transmission cycle to obtain the first network performance stability index of the liquid management component-platform.

3. A method for extending the life of a dyeing tank according to claim 2, characterized in that: The specific determination process of determining whether to optimize the first network performance of the liquid management component-platform based on the verification result is as follows: The verification result is specifically a first verification result or a second verification result; The first verification result is that the first network performance stability index of the liquid management component-platform is greater than or equal to the network performance stability reference index; The second verification result is that the first network performance stability index of the liquid management component-platform is less than the network performance stability reference index; If the verification result shows the first verification result, there is no need to optimize the first network performance of the liquid management component-platform. If the verification result shows the second verification result, it is necessary to optimize the first network performance of the liquid management component-platform.

4. The method for extending the life of a dyeing tank according to claim 1, characterized in that: The status data of the initial sample of the bath liquid specifically includes the average initial concentration of the dye of the initial sample of the bath liquid in the first sampling period, the average initial acid-base value of the initial sample of the bath liquid in the first sampling period, the temperature value of the initial sample of the bath liquid at each first sampling time point, and the average acid-base value of the dye of the initial sample of the bath liquid in the first sampling period.

5. The method for extending the life of a dyeing tank according to claim 1, characterized in that: The specific analysis process of obtaining the state deviation index of the initial sample of the tank liquid is as follows: Arrange the temperature values ​​of the initial sample of the bath liquid at each first sampling time point in order from large to small, record the temperature value ranked first as the maximum temperature of the initial sample of the bath liquid in the first sampling period, and match it with the dye concentration influence coefficient corresponding to each predefined temperature maximum value interval, so as to obtain the dye concentration influence coefficient of the initial sample of the bath liquid in the first sampling period; Matching the average dye acid-base value of the initial sample of the bath solution in the first sampling period with the bath solution acid-base influence coefficient corresponding to each predefined interval of the average dye acid-base value, so as to obtain the bath solution acid-base influence coefficient of the initial sample of the bath solution in the first sampling period; Obtain the historical dosing time of the automatic dosing component and the average ambient temperature of the area where the dyeing tank belongs; Extract the dosing adaptation time and the environmental adaptation temperature from the life monitoring information database; Based on the dye concentration influence coefficient of the initial sample of the tank liquid in the first sampling period, the tank liquid acid-base influence coefficient of the initial sample of the tank liquid in the first sampling period, the historical dosing time of the automatic dosing component, the average ambient temperature of the area to which the dyeing tank belongs, and the first network performance stability index of the liquid management component-platform, a comprehensive analysis is performed to obtain the state deviation index of the initial sample of the tank liquid.

6. A method for extending the life of a dyeing tank according to claim 5, characterized in that: The matching process of the initial state stabilization control scheme of the dyeing tank is as follows: The state deviation index of the initial sample of the tank liquid is subtracted from the predefined state deviation index boundary value to obtain the state deviation degree value of the initial sample of the tank liquid, and matched with the initial state stability control scheme corresponding to each predefined state deviation degree value interval to obtain the initial state stability control scheme of the tank liquid.

7. A method for extending the life of a dyeing tank according to claim 6, characterized in that: The initial state stabilization control scheme, the specific control process is: The average initial dye concentration of the initial sample of the tank liquid in the first sampling period is subjected to difference processing with the dye concentration reference value predefined in the initial state stability control scheme to obtain the dye concentration deviation value of the initial sample of the tank liquid in the first sampling period, and the difference is matched with the dye supplementary dosage corresponding to each predefined dye concentration deviation value interval, so as to obtain the dye supplementary dosage; The average value of the initial acid-base value of the initial sample of the bath liquid in the first sampling period is subjected to difference processing with the acid-base reference value of the bath liquid predefined in the initial state stability control scheme to obtain the acid-base deviation value of the bath liquid in the first sampling period of the initial sample of the bath liquid, and the difference is matched with the additive supplementary addition amount corresponding to each predefined acid-base deviation value interval of the bath liquid, so as to obtain the additive supplementary addition amount of the bath liquid; The initial state stability control scheme is specifically that the automatic dosing component performs automatic dosing operations according to the additional dosage of the dye and the additional dosage of the additive in the tank liquid, thereby completing the initial state stability control of the dyeing tank.

8. A method for extending the life of a dyeing tank according to claim 1, characterized in that: The specific determination process of determining the state stability index of the final sample of the tank liquid is as follows: Based on completing the initial state stabilization control of the dyeing tank, the liquid management component responds to the tank liquid re-sampling instruction issued by the dyeing tank life monitoring platform, whereby the liquid management component automatically collects the state data of the tank liquid final sample, and transmits the state data of the tank liquid final sample to the dyeing tank life monitoring platform; The process of obtaining the status data of the final sample of the tank liquid and transmitting it to the dye tank life monitoring platform corresponds to the second network performance data, thereby evaluating the second network performance stability index of the liquid management component-platform; The state data of the final sample of the tank liquid specifically includes the average value of the dye concentration of the final sample of the tank liquid in the second sampling period and the average value of the acidity and alkalinity of the final sample of the tank liquid in the second sampling period; Obtain the actual dosing time of the automatic dosing component and the average ambient temperature of the final state area of ​​the dyeing tank; According to the average dye concentration of the final sample of the tank liquid in the second sampling period, the average acid-base value of the final sample of the tank liquid in the second sampling period, the actual dosing time of the automatic dosing component, the average ambient temperature of the final state area of ​​the dyeing tank, and the second network performance stability index of the liquid management component-platform, the state stability index of the final sample of the tank liquid is obtained by comprehensive analysis. The specific method is as follows: ； Wherein, WD is the state stability index of the final sample of the tank liquid, RL is the average dye concentration of the final sample of the tank liquid in the second sampling period, RL' is the dye concentration reference value, PH is the average acid-base value of the tank liquid in the second sampling period of the final sample of the tank liquid, PH' is the reference value of the acid-base value of the tank liquid, GD is the actual dosing time of the automatic dosing component, YY' is the dosing adaptation time, WD is the average ambient temperature of the final state area of ​​the dyeing tank, RS' is the ambient adaptation temperature, XN' is the second network performance stability index of the liquid management component-platform, is the state stability impact factor corresponding to the second network performance stability indicator predefined in the life monitoring information database, and e is a natural constant.

9. A method for extending the life of a dyeing tank according to claim 1, characterized in that: The feedback of the final sample state of the tank liquid is specifically conducted as follows: Compare the state stability index of the final sample of the tank liquid with the predefined state stability index corresponding adaptation interval. If the state stability index of the final sample of the tank liquid belongs to the state stability index corresponding adaptation interval, there is no need to feedback the state of the final sample of the tank liquid. At the same time, the dyeing tank life monitoring platform continuously monitors according to the preset tank liquid sampling period. If the state stability index of the final sample of the tank liquid does not belong to the corresponding adaptation interval of the state stability index, the state of the final sample of the tank liquid is fed back.

10. A method for extending the life of a dyeing tank according to claim 9, characterized in that: The feedback on the final sample state of the tank liquid is specifically feedback on the initial corrosion state of the dyeing tank. The feedback process is to check the initial state of the anti-corrosion coating of the dyeing tank body before the stable control operation. If the initial state of the anti-corrosion coating of the dyeing tank body is worn, the state data obtained by sampling the tank liquid and the matched initial state stable control plan of the dyeing tank will be inaccurate, thereby ultimately reducing the life of the dyeing tank.

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