Intelligent control system for automatic decoration spraying of textile fabric

Abstract

The invention discloses an intelligent control system for automatic spraying decoration of textile fabric. The intelligent control system comprises a data acquisition module and a control module, wherein the data acquisition module comprises a temperature and humidity information acquisition unit and a nozzle parameter information acquisition unit; the data processing and analysis module comprises a data preprocessing unit, a data storage unit and a data analysis unit; the control algorithm module comprises a self-adaptive control algorithm unit and an algorithm execution unit; the execution module comprises a spraying amount adjusting unit, a spraying speed adjusting unit and a spraying pressure adjusting unit; a quality feedback module; and a user interface module. By integrating temperature and humidity sensors and nozzle operation data acquisition, various environment and equipment parameters can be collected in real time, real-time analysis and adjustment are carried out through an algorithm, the nozzle operation parameters are automatically adjusted, the influence of environment changes such as temperature and humidity on the spraying decoration effect can be effectively dealt with, and through the self-adaptive control mechanism, the spraying decoration effect can be effectively improved. And the stability of spraying decoration quality is obviously improved.

Description

Technical Field

[0001] The invention relates to the technical field of cloth processing, and in particular to an intelligent control system for automatic spraying of textile cloth. Background Art

[0002] With the continuous development of the textile industry, automated production has played an important role in improving efficiency and reducing labor costs. Especially in the printing process of textile fabrics, automatic spraying technology has become an indispensable part of modern textile production. The traditional spraying process mainly relies on manual adjustment of the spraying amount, spraying speed and spraying pressure of the nozzle to achieve the desired pattern effect and quality. However, this method has many limitations, such as the instability of the spraying effect, the lack of manual adjustment accuracy, and the influence of changes in environmental factors (such as temperature and humidity) on the spraying effect, resulting in fluctuations in the final spraying quality.

[0003] In actual production, the stability and consistency of spray quality directly affects the quality of the finished product and the production efficiency of the enterprise. The working state of the nozzle (such as spraying volume, spraying speed and spraying pressure) is usually affected by many factors, especially environmental factors such as temperature and humidity. These factors change frequently and have certain complexity, and it is difficult to effectively deal with them through traditional manual adjustment methods. With the development of intelligent technology, how to combine intelligent control algorithms with environmental data to realize automatic control and optimization of the spray process has become a key direction for the improvement of industry technology. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides an intelligent control system for automatic spraying of textile fabrics, comprising:

[0007] Data acquisition module: including temperature and humidity information acquisition unit and nozzle parameter information acquisition unit, which collects environmental temperature and humidity information, and also collects the spraying volume, spraying speed and spraying pressure information of the nozzle;

[0008] Data processing and analysis module: including data preprocessing unit, data storage unit and data analysis unit. The data preprocessing unit preprocesses various types of collected information, stores the collected data, supports historical data query, analyzes the impact of the environment on the spraying effect based on the collected environmental data and sprinkler data, and provides analysis results for the control algorithm;

[0009] Control algorithm module: including adaptive control algorithm unit and algorithm execution unit, which calculates the adjustment amount of the nozzle spraying volume, spraying speed and spraying pressure based on the influence of temperature and humidity on the nozzle operating parameters, and outputs the adjustment instructions in real time through the algorithm execution unit;

[0010] Execution module: including spraying volume adjustment unit, spraying speed adjustment unit and spraying pressure adjustment unit, responsible for actually adjusting the working state of the spraying volume, speed and pressure of the sprinkler according to the output instructions of the control algorithm;

[0011] Quality feedback module: real-time monitoring of spraying effect through image recognition;

[0012] User interface module: provides an intuitive user interface for operators, which can display temperature and humidity data, nozzle adjustment parameters, and spray quality monitoring results in real time.

[0013] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the algorithm for the influence of the environment on the spraying effect is as follows:

[0014]

[0015] Where: T(τ) is the temperature at time τ; H(τ) is the humidity at time τ; α1 and α2 are weight coefficients; β and γ are the nonlinear influence indexes of temperature and humidity on the spraying amount; λ is the attenuation factor, which controls the dynamic influence of temperature and humidity on the control parameters of the sprinkler head; T ref and H ref are the reference values ​​of temperature and humidity, respectively, used for normalization.

[0016] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the spraying amount calculation formula of the nozzle is as follows:

[0017]

[0018] Among them: k1 is the calibration coefficient of the spraying amount; δ1 is the adjustment factor.

[0019] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the spraying speed calculation formula of the nozzle is as follows:

[0020]

[0021] Among them: K2 is the calibration coefficient of the spraying speed; α3 is the weight coefficient; δ2 is the adjustment factor.

[0022] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the calculation formula of the spraying pressure of the nozzle is as follows:

[0023]

[0024] Where: k3 is the calibration coefficient of the spraying pressure; δ3 is the adjustment factor; θ and η are the nonlinear influence indexes of temperature and humidity on pressure adjustment.

[0025] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the quality feedback module includes a quality evaluation unit, and the quality evaluation unit scores the spraying quality through image recognition technology.

[0026] As a preferred solution of the intelligent control system for automatic spraying of textile fabrics described in the present invention, the quality feedback module also includes a feedback unit. When the quality score does not meet the predetermined standard, the information is transmitted to the user interface and an alarm is issued to remind the staff to perform manual intervention adjustments and check the equipment.

[0027] In a second aspect, the present invention provides an intelligent control method for automatic spraying of textile fabrics, which specifically comprises the following steps:

[0028] S1. Collect temperature and humidity information and nozzle status information in the working area through sensors;

[0029] S2. Preprocess the collected data and analyze the influence of environmental factors on the spraying effect through the data;

[0030] S3. Based on the influence of environmental factors on the spraying effect, analyze the adjustment plan of the nozzle spraying amount, nozzle spraying speed and nozzle spraying pressure;

[0031] S4. Send adjustment instructions to the device end according to the adjustment plan to adjust the device.

[0032] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, an intelligent control system for automatic spraying of textile fabrics as described in the first aspect of the present invention is implemented.

[0033] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, an intelligent control system for automatic spraying of textile fabrics as described in the first aspect of the present invention is implemented.

[0034] Beneficial effects of the present invention:

[0035] The present invention integrates temperature and humidity sensors and nozzle operation data collection to collect a variety of environmental and equipment parameters in real time, and performs real-time analysis and adjustment through algorithms to automatically adjust the operating parameters of the nozzle. It can effectively cope with the impact of environmental changes such as temperature and humidity on the spraying effect. Through this adaptive control mechanism, the stability of the spraying quality is significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0037] Figure 1 This is a system architecture diagram of an intelligent control system for automatic spraying of textile fabrics proposed by the present invention;

[0038] Figure 2 The present invention is a method flow chart of an intelligent control method for automatic spraying of textile fabrics. DETAILED DESCRIPTION

[0039] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0041] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0042] Reference Figure 1-2The present invention provides an intelligent control system for automatic spraying of textile fabrics, comprising:

[0043] Data acquisition module: including temperature and humidity information acquisition unit and nozzle parameter information acquisition unit, which collects environmental temperature and humidity information, and also collects the spraying volume, spraying speed and spraying pressure information of the nozzle;

[0044] Data processing and analysis module: including data preprocessing unit, data storage unit and data analysis unit. The data preprocessing unit preprocesses various types of collected information, stores the collected data, supports historical data query, analyzes the impact of the environment on the spraying effect based on the collected environmental data and sprinkler data, and provides analysis results for the control algorithm;

[0045] Control algorithm module: including adaptive control algorithm unit and algorithm execution unit, which calculates the adjustment amount of the nozzle spraying volume, spraying speed and spraying pressure based on the influence of temperature and humidity on the nozzle operating parameters, and outputs the adjustment instructions in real time through the algorithm execution unit;

[0046] Execution module: including spraying volume adjustment unit, spraying speed adjustment unit and spraying pressure adjustment unit, responsible for actually adjusting the working state of the spraying volume, speed and pressure of the sprinkler according to the output instructions of the control algorithm;

[0047] Quality feedback module: real-time monitoring of spraying effect through image recognition;

[0048] User interface module: provides operators with an intuitive user interface that can display temperature and humidity data, nozzle adjustment parameters, and spray quality monitoring results in real time. Users can manually adjust some control parameters through the interface, or enable the system's automatic adjustment function to improve the system's operability and flexibility.

[0049] Among them, the algorithm for the impact of the environment on the spraying effect is as follows:

[0050]

[0051] Where: T(τ) is the temperature at time τ; H(τ) is the humidity at time τ; α1 and α2 are weight coefficients, which control the influence of temperature and humidity on each parameter; β and γ are the nonlinear influence indexes of temperature and humidity on the spraying amount; λ is the attenuation factor, which controls the dynamic influence of temperature and humidity on the control parameters of the sprinkler head; T ref and H ref are the reference values ​​of temperature and humidity, respectively, for normalization, and F(t) represents the control signal, which is the result of weighted and nonlinear adjustment of temperature and humidity and processed by attenuation function, reflecting the impact of environmental changes on sprinkler parameters. This control signal will affect the spraying volume, spraying speed and spraying pressure.

[0052] Furthermore, the calculation formula of the spraying amount of the nozzle is as follows:

[0053]

[0054] Where: k1 is the calibration coefficient of the spraying amount; δ1 is the adjustment factor, which is used to calculate and adjust the spraying amount of the sprinkler in real time.

[0055] Furthermore, the calculation formula of the spraying speed of the nozzle is as follows:

[0056]

[0057] Among them: k2 is the calibration coefficient of the spraying speed; α3 is the weight coefficient; δ2 is the adjustment factor, which is used to calculate and adjust the spraying speed of the nozzle in real time.

[0058] Furthermore, the calculation formula of the spray pressure of the nozzle is as follows:

[0059]

[0060] Among them: k3 is the calibration coefficient of the spraying pressure; δ3 is the adjustment factor; θ and η are the nonlinear influence indexes of temperature and humidity on pressure adjustment, and the spraying pressure of the sprinkler is calculated and adjusted in real time through calculation.

[0061] Furthermore, the quality feedback module includes a quality assessment unit, which scores the quality of the spraying quality through image recognition technology, and scores the processed fabric in real time to ensure that it meets the requirements.

[0062] Furthermore, the quality feedback module also includes a feedback unit. When the quality score does not meet the predetermined standard, the information is transmitted to the user interface and an alarm is issued to remind the staff to make manual intervention adjustments and check the equipment. When an abnormal situation occurs, the staff is reminded in time to adjust and inspect the equipment.

[0063] This embodiment also provides an intelligent control method for automatic spraying of textile fabrics, which specifically includes the following steps:

[0064] S1. Collect temperature and humidity information and nozzle status information in the working area through sensors;

[0065] S2. Preprocess the collected data and analyze the influence of environmental factors on the spraying effect through the data;

[0066] S3. Based on the influence of environmental factors on the spraying effect, analyze the adjustment plan of the nozzle spraying amount, nozzle spraying speed and nozzle spraying pressure;

[0067] S4. Send adjustment instructions to the device end according to the adjustment plan to adjust the device.

[0068] This embodiment also provides a computer device, which is suitable for an intelligent control system for automatic spraying of textile fabrics, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to execute an intelligent control system for automatic spraying of textile fabrics as proposed in the above embodiment.

[0069] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0070] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, an intelligent control system for automatic spraying of textile fabrics as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0071] In summary, the present invention can collect a variety of environmental and equipment parameters in real time by integrating temperature and humidity sensors and nozzle operation data acquisition, and perform real-time analysis and adjustment through algorithms to automatically adjust the operating parameters of the nozzle, which can effectively cope with the influence of environmental changes such as temperature and humidity on the spraying effect. Through this adaptive control mechanism, the stability of the spraying quality is significantly improved.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent control system for automatic spraying of textile fabrics, characterized in that: include: Data acquisition module: including temperature and humidity information acquisition unit and nozzle parameter information acquisition unit, which collects environmental temperature and humidity information, and also collects the spraying volume, spraying speed and spraying pressure information of the nozzle; Data processing and analysis module: including data preprocessing unit, data storage unit and data analysis unit. The data preprocessing unit preprocesses various types of collected information, stores the collected data, supports historical data query, analyzes the impact of the environment on the spraying effect based on the collected environmental data and sprinkler data, and provides analysis results for the control algorithm; Control algorithm module: including adaptive control algorithm unit and algorithm execution unit, which calculates the adjustment amount of the nozzle spraying volume, spraying speed and spraying pressure based on the influence of temperature and humidity on the nozzle operating parameters, and outputs the adjustment instructions in real time through the algorithm execution unit; Execution module: including spraying volume adjustment unit, spraying speed adjustment unit and spraying pressure adjustment unit, responsible for actually adjusting the working state of the spraying volume, speed and pressure of the sprinkler according to the output instructions of the control algorithm; Quality feedback module: real-time monitoring of spraying effect through image recognition; User interface module: provides an intuitive user interface for operators, which can display temperature and humidity data, nozzle adjustment parameters, and spray quality monitoring results in real time.

2. The intelligent control system for automatic spraying of textile fabrics according to claim 1, characterized in that: The algorithm for the influence of the environment on the spraying effect is as follows: Where: T(τ) is the temperature at time τ; H(τ) is the humidity at time τ; α1 and α2 are weight coefficients; β and γ are the nonlinear influence indexes of temperature and humidity on the spraying amount; λ is the attenuation factor, which controls the dynamic influence of temperature and humidity on the control parameters of the sprinkler head; T ref and H ref are the reference values ​​of temperature and humidity, respectively, used for normalization.

3. The intelligent control system for automatic spraying of textile fabrics according to claim 2 is characterized in that: The calculation formula of the spraying amount of the nozzle is as follows: Among them: k1 is the calibration coefficient of the spraying amount; δ1 is the adjustment factor.

4. The intelligent control system for automatic spraying of textile fabrics according to claim 3 is characterized by: The calculation formula of the spraying speed of the nozzle is as follows: Among them: k2 is the calibration coefficient of the spraying speed; α3 is the weight coefficient; δ2 is the adjustment factor.

5. The intelligent control system for automatic spraying of textile fabrics according to claim 4 is characterized in that: The calculation formula of the spray pressure of the nozzle is as follows: Where: k3 is the calibration coefficient of the spraying pressure; δ3 is the adjustment factor; θ and η are the nonlinear influence indexes of temperature and humidity on pressure adjustment.

6. The intelligent control system for automatic spraying of textile fabrics according to claim 5, characterized in that: The quality feedback module includes a quality assessment unit, which scores the quality of the spraying by using image recognition technology.

7. The intelligent control system for automatic spraying of textile fabrics according to claim 6, characterized in that: The quality feedback module also includes a feedback unit. When the quality score does not meet the predetermined standard, the information is transmitted to the user interface and an alarm is issued to remind the staff to perform manual intervention adjustments and check the equipment.

8. An intelligent control method for automatic spraying of textile fabrics, based on an intelligent control system for automatic spraying of textile fabrics as claimed in any one of claims 1 to 7, characterized in that: The specific steps include: S1. Collect temperature and humidity information and nozzle status information in the working area through sensors; S2. Preprocess the collected data and analyze the influence of environmental factors on the spraying effect through the data; S3. Based on the influence of environmental factors on the spraying effect, analyze the adjustment plan of the nozzle spraying amount, nozzle spraying speed and nozzle spraying pressure; S4. Send adjustment instructions to the device end according to the adjustment plan to adjust the device.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor implements the computer program, it implements an intelligent control system for automatic spraying of textile fabrics as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, an intelligent control system for automatic spraying of textile fabrics as described in any one of claims 1 to 7 is implemented.

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