Environment control device and control system based on textile workshop

Abstract

The invention discloses an environment control device and system based on a textile workshop, and relates to the technical field of workshop environment control systems, and the device comprises a central control module which is used for centralized management and coordination of a plurality of adjusting devices for environment adjustment; the central control module comprises a data summarization unit, an intelligent analysis unit and a coordination control unit. By installing the central control module, the automatic control coordination function of the workshop environment is achieved, the problem of adjustment delay of manual control is solved, the adjustment speed and precision of the workshop environment are improved, manual operation is reduced, the automation level is improved, stable product quality is ensured, and the energy utilization rate is high.

Description

Technical Field

[0001] The present invention relates to the technical field of workshop environment control systems, and in particular to an environment control device and a control system based on a textile workshop. Background Art

[0002] The production environment of a textile workshop is critical to product quality and worker health. Even small changes in temperature, humidity, and air quality can have a significant impact on the quality of textiles. In addition, traditional environmental control methods usually rely on manual monitoring and adjustment, which is not only inefficient but also prone to lags and errors, resulting in unstable product quality and energy waste.

[0003] In order to solve these problems, modern textile workshops need an intelligent environmental control system that can monitor and automatically adjust environmental parameters in real time to ensure that environmental conditions during the production process are always in the optimal state. This can not only improve product quality and production efficiency, but also effectively reduce energy consumption and improve the working environment and health of workers.

[0004] Based on this demand, an environmental control device and control system based on a textile workshop is proposed. Through advanced sensing technology, data processing technology and intelligent control technology, efficient and precise control of the workshop environment can be achieved.

[0005] 1. Patent document CN107959972B discloses an environmental control system, a control device and a method thereof. The above patent solves the problem of limited space faced by the known lighthouse tracking technology, but the above patent cannot realize the automated control and coordination function of the workshop environment.

[0006] 2. Patent document CN112469946B discloses an environmental equipment control device and an environmental equipment control system. The above patent realizes temporary control of lowering the blowing temperature supplied to the upper body of the crew and increasing the blowing air volume, thereby eliminating the crew's sleepiness, but the above patent cannot realize the real-time monitoring and collection function of various environmental parameters of the workshop.

[0007] 3. Patent document CN116897264B discloses an environment control system, an environment control device and an environment control method. The above patent realizes rapid control of the environment and improves the user's comfort, but the above patent cannot realize the centralized control and coordination function of multiple devices.

[0008] 4. Patent document CN111033136B discloses an air environment control system, an air environment control device and an air environment control method. The above patent achieves the goal of improving the concentration of operators, but the above patent cannot achieve intelligent analysis and predictive warning functions.

[0009] In summary, the above patents cannot realize the automated control and coordination functions of the workshop environment, the real-time monitoring and collection functions of various environmental parameters of the workshop, the centralized control and coordination functions of various equipment, and the intelligent analysis and prediction and early warning functions, resulting in problems such as low manual monitoring accuracy, control and adjustment hysteresis, poor working environment quality, and unstable product quality;

[0010] To this end, the present application proposes an environmental control device and control system based on a textile workshop that can realize the automated control and coordination function of the workshop environment, the real-time monitoring and collection function of various environmental parameters of the workshop, the centralized control and coordination function of multiple equipment, and the intelligent analysis and prediction and early warning function. Summary of the invention

[0011] The purpose of the present invention is to provide an environmental control device and control system based on a textile workshop, so as to solve the technical problems proposed in the above background technology that the automated control and coordination function of the workshop environment, the real-time monitoring and collection function of various environmental parameters of the workshop, the centralized control and coordination function of various equipment and the intelligent analysis and prediction and early warning function cannot be realized, resulting in low manual monitoring accuracy, control and adjustment hysteresis, poor working environment quality and unstable product quality.

[0012] To achieve the above object, the present invention provides the following technical solutions: an environmental control device and control system based on a textile workshop, comprising a central control module, the central control module is used to centrally manage and coordinate multiple adjustment devices to adjust the environment;

[0013] The central control module includes: a data aggregation unit, an intelligent analysis unit and a coordination control unit;

[0014] The data aggregation unit is used to collect and store data uploaded by various environmental control devices into local and cloud databases;

[0015] The intelligent analysis unit integrates data mining and machine learning algorithms to analyze historical data, predict environmental change trends, and perform adaptive learning to optimize control strategies according to changes in the workshop environment;

[0016] The coordination control unit is used to uniformly schedule and coordinate the operation of each regulating device, support multi-device connection through a standardized interface, and perform scheduling based on real-time data to ensure that each device works efficiently and collaboratively.

[0017] Preferably, the central control module is connected to a sensor module via a CAN bus, and the sensor module is used to collect various environmental parameter data of the workshop in real time;

[0018] The sensor module includes: a temperature sensing unit, a humidity sensing unit and an air quality sensing unit;

[0019] The temperature sensing unit uses a high-precision digital temperature sensor with a measurement range of -55°C to 125°C, an accuracy of ±0.5°C, and a data acquisition frequency of 1 time / s. Multiple high-precision digital temperature sensors are evenly distributed in the workshop;

[0020] The humidity sensing unit uses a capacitive humidity sensor with a measurement range of 0-100% RH, an accuracy of ±2% RH, and a data acquisition frequency of 1 time / s. The capacitive humidity sensor is installed at a typical workstation according to the humidity change law of the workshop;

[0021] The air quality sensing unit uses a multi-functional air quality sensor to detect multiple gases and output the air quality index. The data collection frequency is 1 time / min. The multi-functional air quality sensor is installed in the workshop ventilation opening and on the bracket above the production equipment.

[0022] Preferably, the sensor module is connected to a data acquisition module via an API data interface, and the data acquisition module is used to receive and process data collected by the sensor module;

[0023] The data acquisition module includes: a data acquisition unit, a data transmission unit and a power management unit;

[0024] The data acquisition unit uses an embedded microcontroller, which is connected to various sensors through the sensor interface, maintaining a high sampling rate to ensure data accuracy and real-time performance. The embedded microcontroller has a built-in data acquisition buffer to prevent data loss.

[0025] The data transmission unit uses the SPI bus to transmit sensor data, maintains high-speed data transmission to ensure real-time performance, and supports multiple protocol transmissions to ensure data transmission reliability and compatibility;

[0026] The power management unit is powered by a DC power supply / battery. It ensures stable system operation through power monitoring and management, provides backup power, and prevents system interruption caused by main power failure.

[0027] Preferably, the data acquisition module is connected to the data processing module via an SPI bus, and the data processing module is used to analyze and process the collected data;

[0028] The data processing module includes: a data filtering unit, a data analysis unit and an anomaly detection unit;

[0029] The data filtering unit is integrated with a digital filtering algorithm to remove noise and improve data accuracy;

[0030] The data analysis unit compares the real-time data with the preset threshold and outputs the environmental status judgment results. The rule-based algorithm and machine learning algorithm are combined to ensure the accuracy and reliability of the analysis results.

[0031] The anomaly detection unit is used to detect data anomalies and output an alarm signal, and improve the accuracy of anomaly detection by learning historical data.

[0032] Preferably, the central control module is connected to a control module via a data signal line, the control module is connected to a data processing module via a data signal line, and the control module is used to control the operation of the environment conditioning device;

[0033] The control module includes: a relay control unit, a PWM control unit and an actuator interface unit;

[0034] The relay control unit is used to control the switches of air conditioners, humidifiers, and air purifiers. It ensures efficient operation of the equipment based on real-time control of environmental parameters.

[0035] The PWM control unit is used to output PWM signals to control the speed and power of fans and motors. Through high-precision control, it ensures the smooth operation of the equipment and adjusts the control parameters in real time through sensor feedback.

[0036] The actuator interface unit is connected to the environmental conditioning equipment through the RS485 standard interface to transmit control signals. It supports multiple devices and protocol connections to ensure system scalability.

[0037] Preferably, the data processing module is connected to a display module via a data signal line, and the display module is used to display the workshop environment parameters and the operating status of the central control module;

[0038] The display module includes: an LCD display unit, an LED indication unit and a touch input unit;

[0039] The LCD display unit uses a liquid crystal display to display the user interface, real-time display of environmental parameters, historical data and alarm information;

[0040] The LED indicator unit uses a high-brightness LED indicator to display the system's working status and alarm information. Multiple colors indicate different states, and there are flashing and constant light modes.

[0041] The touch input unit uses a capacitive touch screen and supports multi-touch for user input and interaction, parameter setting and control.

[0042] Preferably, the user interface in the display module is used to provide a graphical interface for operating and monitoring the system;

[0043] The user interface includes: real-time monitoring unit, historical data unit and system setting unit;

[0044] The real-time monitoring unit displays real-time environmental parameters and alarm information in the workshop through intuitive graphics, supports custom interface layout, meets different monitoring needs, and provides processing suggestions;

[0045] The historical data unit provides data query and visualization functions, outputs trend charts and statistical charts, provides a variety of analysis tools to assist users in making decisions, automatically generates reports, supports comparative analysis of data in different time periods, and finds out the laws of environmental changes;

[0046] The system setting unit is used to provide different user authority management, set system parameters, support remote configuration and management through the network, and record user operation logs to facilitate system maintenance and problem tracking.

[0047] Preferably, the machine learning algorithm used in the intelligent analysis unit is a linear regression algorithm, and the specific algorithm formula is as follows:

[0048] y=β0+β1x

[0049] Among them, y is the predicted environmental parameter value;

[0050] x is time and other independent variables;

[0051] β0 is the intercept;

[0052] β1 is the regression coefficient.

[0053] Preferably, the environmental control system is used to drive the environmental control device to control and adjust the environmental conditions, and the environmental control system includes: a data signal input system, an intelligent analysis system and a communication system;

[0054] The data signal input system is used to receive the real-time workshop environmental parameter data collected by the sensor module and pre-process the environmental parameter data according to the preset software program;

[0055] The intelligent analysis system is used to drive the algorithm in the central control module to analyze the environmental data input by the data signal input module and output the control adjustment signal;

[0056] The communication system is used for stable wired / wireless transmission of data and signals between modules in the environmental control device.

[0057] Preferably, the communication system transmits the control and adjustment signals output by the intelligent analysis system to the respective units in the control module, controls the operation of the air conditioner, humidifier, air purifier, motor, and fan equipment, and performs adaptive control and adjustment to change the environmental parameters in the workshop.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. The present invention realizes the automatic control and coordination function of the workshop environment by installing a central control module, solves the problem of manual control adjustment hysteresis, improves the adjustment speed and accuracy of the workshop environment, reduces manual operation, improves the automation level, ensures stable product quality and high energy utilization rate;

[0060] 2. The present invention realizes the real-time monitoring and collection function of various environmental parameters of the workshop by installing a sensor module, solves the problem of low accuracy of manual monitoring of environmental parameters, and provides comprehensive and accurate data through multi-dimensional environmental parameter monitoring, so as to timely discover and solve environmental problems and improve product quality and the quality of workers' working environment;

[0061] 3. The present invention realizes the centralized control and coordination function of multiple devices by installing a control module, improves the control response speed, ensures that the environmental parameters quickly reach the preset values, improves the efficiency and accuracy of environmental adjustment, ensures that the workshop environment is stable in the best state, reduces equipment energy consumption and maintenance costs, and extends the service life of the equipment;

[0062] 4. The present invention realizes intelligent analysis and prediction and early warning functions by installing an intelligent analysis system, improves the intelligence level of environmental control, reduces human intervention and operational errors, provides more accurate environmental adjustment, improves product quality and production efficiency, improves the system's adaptability, and ensures that the environmental control system can operate effectively under different conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a control flow diagram of the present invention;

[0064] Figure 2 It is a schematic diagram of the data collection stage of the present invention;

[0065] Figure 3 It is a schematic diagram of data processing analysis of the present invention;

[0066] Figure 4 It is a schematic diagram of the decision control stage of the present invention;

[0067] Figure 5 It is a schematic diagram of the user feedback stage of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0070] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0071] Example 1

[0072] See also Figure 1-Figure 5 , an embodiment provided by the present invention: an environmental control device based on a textile workshop, comprising a central control module, the central control module is used for centrally managing and coordinating multiple regulating devices to perform environmental regulation;

[0073] The central control module includes: a data aggregation unit, an intelligent analysis unit and a coordination control unit;

[0074] The data aggregation unit is used to collect and store data uploaded by various environmental control devices into local and cloud databases;

[0075] The intelligent analysis unit integrates data mining and machine learning algorithms to analyze historical data, predict environmental change trends, and perform adaptive learning to optimize control strategies according to changes in the workshop environment;

[0076] The coordination control unit is used to uniformly dispatch and coordinate the operation of each regulating device, supports multi-device connection through a standardized interface, and dispatches according to real-time data to ensure efficient and coordinated work of each device; the machine learning algorithm used in the intelligent analysis unit is a linear regression algorithm, and the specific algorithm formula is as follows:

[0077] y=β0+β1x

[0078] Among them, y is the predicted environmental parameter value;

[0079] x is time and other independent variables;

[0080] β0 is the intercept;

[0081] β1 is the regression coefficient;

[0082] Furthermore, the environmental parameter data from the data acquisition module is received, the received data is stored in a local database, basic preprocessing is performed on the received data, such as removing outliers and converting the data format, ensuring the time synchronization of each sensor data, using the Network Time Protocol (NTP) to calibrate the time, and for important data, regularly backing up to the cloud or external storage device;

[0083] Analyze environmental data through machine learning algorithms. Common algorithms include linear regression, decision tree, support vector machine (SVM), and long short-term memory network (LSTM). Identify the change pattern of environmental parameters, detect trends and periodic changes, build prediction models based on historical data, predict future changes in environmental parameters, use LSTM for time series prediction, and detect data anomalies through statistical methods and machine learning algorithms.

[0084] Based on the analysis results and predicted data provided by the intelligent analysis unit, control instructions are generated, and reasonable thresholds and control strategies are set to ensure that environmental parameters are within the set range. Control instructions are executed through the relay and PWM control unit of the control module to control equipment including air conditioners, humidifiers, ventilation equipment and air purifiers. Environmental parameters are monitored in real time, feedback data is collected, control strategies are adjusted, and proportional-integral-differential (PID) control algorithms are applied for closed-loop control to optimize the operating time and power of environmental conditioning equipment to improve energy efficiency and reduce operating costs. Through the closed-loop feedback mechanism, control strategies are continuously adjusted and optimized to ensure that environmental parameters are within the set range, thereby improving production efficiency and product quality.

[0085] Example 2

[0086] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an environmental control device based on a textile workshop, wherein the central control module is connected to a sensor module via a CAN bus, and the sensor module is used to collect various environmental parameter data of the workshop in real time;

[0087] The sensor module includes: a temperature sensing unit, a humidity sensing unit and an air quality sensing unit;

[0088] The temperature sensing unit uses a high-precision digital temperature sensor with a measurement range of -55°C to 125°C, an accuracy of ±0.5°C, and a data acquisition frequency of 1 time / s. Multiple high-precision digital temperature sensors are evenly distributed in the workshop;

[0089] The humidity sensing unit uses a capacitive humidity sensor with a measurement range of 0-100% RH, an accuracy of ±2% RH, and a data acquisition frequency of 1 time / s. The capacitive humidity sensor is installed at a typical workstation according to the humidity change law of the workshop;

[0090] The air quality sensing unit uses a multifunctional air quality sensor to detect multiple gases and output the air quality index. The data collection frequency is 1 time / min. The multifunctional air quality sensor is installed on the ventilation opening of the workshop and the bracket above the production equipment.

[0091] Furthermore, the high-precision digital temperature sensor, capacitive humidity sensor and multifunctional air quality sensor respectively collect data on the ambient temperature, ambient humidity and harmful gas concentration in the workshop in real time, and the signal conditioning circuit in the sensor module uses an operational amplifier to amplify the output signal of the sensor, and uses a low-pass filter to remove high-frequency noise to ensure the stability of the signal. The processed signal is transmitted to the data acquisition module through the API analog signal data interface for preliminary processing and integration. The sensor module realizes comprehensive monitoring of the textile workshop environment through the coordinated work of the temperature sensing unit, humidity sensing unit and air quality sensing unit. Each sensor unit transmits the collected environmental parameter data to the data acquisition module through the signal conditioning circuit and data transmission interface, and then processes and intelligently analyzes the data through the central control module, finally realizing precise control of the environmental conditioning equipment.

[0092] Example 3

[0093] See also Figure 2 and Figure 3 , an embodiment provided by the present invention: an environment control device based on a textile workshop, wherein the sensor module is connected to a data acquisition module via an API data interface, and the data acquisition module is used to receive and process data collected by the sensor module;

[0094] The data acquisition module includes: a data acquisition unit, a data transmission unit and a power management unit;

[0095] The data acquisition unit uses an embedded microcontroller, which is connected to various sensors through the sensor interface, maintaining a high sampling rate to ensure data accuracy and real-time performance. The embedded microcontroller has a built-in data acquisition buffer to prevent data loss.

[0096] The data transmission unit uses the SPI bus to transmit sensor data, maintains high-speed data transmission to ensure real-time performance, and supports multiple protocol transmissions to ensure data transmission reliability and compatibility;

[0097] The power management unit is powered by a DC power supply / battery. It ensures stable system operation through power monitoring and management, provides backup power, and prevents system interruption caused by main power failure.

[0098] Furthermore, using an STM32 series microcontroller, which provides sufficient processing power and interfaces, the microcontroller initializes each sensor interface and memory when it starts, reads sensor data through I2C, single bus or analog signal interface, applies sensor calibration data, calibrates the collected data, and formats the data into a standard data structure for subsequent transmission and processing;

[0099] Use RS485 or Ethernet modules to provide reliable wired communication, package the processed data into JSON or other format messages, transmit the data to the central control module via RS485 or Ethernet, and use Modbus or TCP / IP protocol to ensure the stability of data transmission;

[0100] The power management unit includes a DC-DC buck converter or LDO regulator to provide a stable operating voltage. It contains a lithium battery and a battery management chip (such as BQ24075), provides backup power and manages charging and discharging, monitors battery power, and automatically switches between main power and battery power to ensure that the system continues to operate in the event of a power outage. According to the system status (such as data acquisition frequency, transmission frequency), it adjusts the power consumption mode to extend battery life;

[0101] The data acquisition module realizes efficient collection, stable transmission and reliable power supply of textile workshop environmental data through the coordinated work of data acquisition unit, data transmission unit and power management unit. The specific implementation and operation process of each unit ensure the efficiency and reliability of the system and meet the needs of environmental control system.

[0102] Example 4

[0103] See also Figure 2 and Figure 3 , an embodiment provided by the present invention: an environmental control device based on a textile workshop, wherein the data acquisition module is connected to the data processing module via an SPI bus, and the data processing module is used to analyze and process the collected data;

[0104] The data processing module includes: a data filtering unit, a data analysis unit and an anomaly detection unit;

[0105] The data filtering unit is integrated with a digital filtering algorithm to remove noise and improve data accuracy;

[0106] The data analysis unit compares the real-time data with the preset threshold and outputs the environmental status judgment results. The rule-based algorithm and machine learning algorithm are combined to ensure the accuracy and reliability of the analysis results.

[0107] The anomaly detection unit is used to detect data anomalies and output an alarm signal to improve the accuracy of anomaly detection by learning historical data;

[0108] Further, receiving raw data from the data acquisition module, including temperature, humidity, and air quality data, low-pass filtering the data to remove high-frequency noise, smoothing the data, and applying a Gaussian filter to the data to smooth the data and reduce noise;

[0109] Extract key feature values, such as mean, variance, maximum, minimum, etc., use time domain and frequency domain analysis methods to identify the periodicity and trend of the data, apply machine learning algorithms to identify patterns and regularities in the data, and use clustering algorithms (such as K-means) to classify and cluster the data;

[0110] Use the data processed by the data filtering unit to remove obvious outliers (such as mutations caused by data collection errors), perform anomaly detection based on statistical methods, such as the threshold method based on the mean and standard deviation, set upper and lower thresholds, and the points exceeding the thresholds are abnormal points. Use supervised learning and unsupervised learning algorithms to perform anomaly detection, generate alarm information, and prompt the system to make necessary adjustments or maintenance. The processed data and alarm information are transmitted to the central control module through the data transmission unit. The central control module executes the corresponding control strategy based on the analysis results and alarm information;

[0111] The data processing module achieves efficient processing, accurate analysis and reliable anomaly detection of environmental data through the close cooperation of the data filtering unit, data analysis unit and anomaly detection unit. The specific implementation steps and algorithms of each unit ensure the accuracy of the data and the stability of the system, providing a solid data foundation for the environmental control system.

[0112] Example 5

[0113] See also Figure 3 and Figure 4 , an embodiment provided by the present invention: an environment control device based on a textile workshop, wherein the central control module is connected to a control module via a data signal line, the control module is connected to a data processing module via a data signal line, and the control module is used to control the operation of the environment adjustment device;

[0114] The control module includes: a relay control unit, a PWM control unit and an actuator interface unit;

[0115] The relay control unit is used to control the switches of air conditioners, humidifiers, and air purifiers. It ensures efficient operation of the equipment based on real-time control of environmental parameters.

[0116] The PWM control unit is used to output PWM signals to control the speed and power of fans and motors. Through high-precision control, it ensures the smooth operation of the equipment and adjusts the control parameters in real time through sensor feedback.

[0117] The actuator interface unit is connected to the environmental conditioning equipment through the RS485 standard interface to transmit control signals, and supports multiple devices and protocol connections to ensure system scalability;

[0118] Furthermore, the control module receives the control command after data processing from the central control module, the relay control unit receives the switch control signal, drives the relay, performs the switch operation, controls the on and off of the fan, heater, humidifier and other equipment, the PWM control unit receives the duty cycle control signal, generates the PWM signal of the corresponding duty cycle, controls the operation status and intensity of the motor, light and other equipment, the actuator interface unit receives the relay and PWM control signal, performs signal conversion and adaptation, drives various actuators, and adjusts the environmental parameters of the textile workshop. The control module realizes the precise adjustment of the environmental parameters of the textile workshop through the coordinated work of the relay control unit, the PWM control unit and the actuator interface unit. The specific working steps and implementation details of each unit ensure the accurate transmission and execution of the control signal, and provide a stable and reliable control capability for the environmental control system.

[0119] Example 6

[0120] See also Figure 4 and Figure 5 , an embodiment provided by the present invention: an environmental control device based on a textile workshop, wherein the data processing module is connected to a display module via a data signal line, and the display module is used to display workshop environmental parameters and the operating status of the central control module;

[0121] The display module includes: an LCD display unit, an LED indication unit and a touch input unit;

[0122] The LCD display unit uses a liquid crystal display to display the user interface, real-time display of environmental parameters, historical data and alarm information;

[0123] The LED indicator unit uses a high-brightness LED indicator to display the system's working status and alarm information. Multiple colors indicate different states, and there are flashing and constant light modes.

[0124] The touch input unit uses a capacitive touch screen and supports multi-touch for user input and interaction, parameter setting and control; the user interface in the display module is used to provide a graphical interface for operating and monitoring the system;

[0125] The user interface includes: real-time monitoring unit, historical data unit and system setting unit;

[0126] The real-time monitoring unit displays real-time environmental parameters and alarm information in the workshop through intuitive graphics, supports custom interface layout, meets different monitoring needs, and provides processing suggestions;

[0127] The historical data unit provides data query and visualization functions, outputs trend charts and statistical charts, provides a variety of analysis tools to assist users in making decisions, automatically generates reports, supports comparative analysis of data in different time periods, and finds out the laws of environmental changes;

[0128] The system setting unit is used to provide different user authority management, set system parameters, support remote configuration and management through the network, and record user operation logs to facilitate system maintenance and problem tracking;

[0129] Further, the LCD display unit, LED indication unit and touch input unit are initialized, the screen is cleared, the LED status is initialized, the touch screen is calibrated, data from the central control module is received, the LCD display content is updated, the corresponding LED is turned on or off according to the system status, touch events are detected and processed, corresponding operations (such as interface switching, parameter adjustment) are performed, the LCD display and LED status are updated according to user operations, and visual feedback (LCD display and LED indication) is provided according to the system status and user operations to ensure that the user can understand the system status and operation results in real time;

[0130] The user interface receives real-time data, historical data and system setting parameters from the central control module. The real-time monitoring unit updates the real-time environmental parameter display. The historical data unit provides data browsing and operation functions. The system setting unit provides parameter adjustment and saving functions and provides user feedback, such as alarm information, setting confirmation, etc. The setting parameters adjusted by the user are fed back to the central control module to adjust the system operation parameters.

[0131] Working Principle,The environmental control device mainly relies on sensor modules to monitor the environmental parameters in the textile workshop in real time, including temperature, humidity and air quality. The temperature sensing unit, humidity sensing unit and air quality sensing unit are responsible for collecting corresponding environmental data respectively. These sensor modules transmit the collected raw data to the data acquisition module, which performs preliminary processing on these data and transmits them to the central control module through the data transmission unit;

[0132] The central control module receives and aggregates the data transmitted by all sensors, and uses machine learning algorithms to perform data analysis and pattern recognition through the intelligent analysis unit to predict possible environmental change trends and identify abnormal situations. The data filtering unit in the data processing module first filters the received data to eliminate noise and errors. Subsequently, the data analysis unit conducts in-depth analysis of the processed data and passes the results to the anomaly detection unit to detect and identify any possible abnormal situations or equipment failures in a timely manner;

[0133] After data processing and analysis, the central control module will adjust the relevant equipment in the textile workshop through the control module according to the analysis results and the preset environmental parameter standards. The control module includes a relay control unit, a PWM control unit and an actuator interface unit, which are responsible for controlling the switch of the equipment, adjusting the operating status of the equipment and the interface with various actuators. At the same time, the display module displays the system's real-time data, historical data and setting information to the user through the LCD display unit and the LED indicator unit. The user can set parameters and operate the system through the touch input unit to ensure that the workshop environment is always in the best state.

[0134] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An environmental control device based on a textile workshop, characterized in that: It includes a central control module, which is used to centrally manage and coordinate multiple adjustment devices to adjust the environment; The central control module includes: a data aggregation unit, an intelligent analysis unit and a coordination control unit; The data aggregation unit is used to collect and store data uploaded by various environmental control devices into local and cloud databases; The intelligent analysis unit integrates data mining and machine learning algorithms to analyze historical data, predict environmental change trends, and perform adaptive learning to optimize control strategies according to changes in the workshop environment; The coordination control unit is used to uniformly schedule and coordinate the operation of each regulating device, support multi-device connection through a standardized interface, and perform scheduling based on real-time data to ensure that each device works efficiently and collaboratively.

2. The environmental control device based on a textile workshop according to claim 1 is characterized in that: The central control module is connected to a sensor module via a CAN bus, and the sensor module is used to collect various environmental parameter data of the workshop in real time; The sensor module includes: a temperature sensing unit, a humidity sensing unit and an air quality sensing unit; The temperature sensing unit uses a high-precision digital temperature sensor with a measurement range of -55°C to 125°C, an accuracy of ±0.5°C, and a data acquisition frequency of 1 time / s. Multiple high-precision digital temperature sensors are evenly distributed in the workshop; The humidity sensing unit uses a capacitive humidity sensor with a measurement range of 0-100% RH, an accuracy of ±2% RH, and a data acquisition frequency of 1 time / s. The capacitive humidity sensor is installed at a typical workstation according to the humidity change law of the workshop; The air quality sensing unit uses a multifunctional air quality sensor to detect multiple gases and output an air quality index. The data collection frequency is 1 time / min. The multifunctional air quality sensor is installed in the workshop vents and on the bracket above the production equipment.

3. The environmental control device based on a textile workshop according to claim 2 is characterized in that: The sensor module is connected to a data acquisition module via an API data interface, and the data acquisition module is used to receive and process data collected by the sensor module; The data acquisition module includes: a data acquisition unit, a data transmission unit and a power management unit; The data acquisition unit uses an embedded microcontroller, which is connected to various sensors through the sensor interface, maintaining a high sampling rate to ensure data accuracy and real-time performance. The embedded microcontroller has a built-in data acquisition buffer to prevent data loss. The data transmission unit uses the SPI bus to transmit sensor data, maintains high-speed data transmission to ensure real-time performance, and supports multiple protocol transmissions to ensure data transmission reliability and compatibility; The power management unit is powered by a DC power supply / battery. It ensures stable system operation through power monitoring and management, provides backup power, and prevents system interruption caused by main power failure.

4. The environmental control device based on a textile workshop according to claim 3 is characterized in that: The data acquisition module is connected to the data processing module via the SPI bus, and the data processing module is used to analyze and process the collected data; The data processing module includes: a data filtering unit, a data analysis unit and an anomaly detection unit; The data filtering unit is integrated with a digital filtering algorithm to remove noise and improve data accuracy; The data analysis unit compares the real-time data with the preset threshold and outputs the environmental status judgment results. The rule-based algorithm and machine learning algorithm are combined to ensure the accuracy and reliability of the analysis results. The anomaly detection unit is used to detect data anomalies and output an alarm signal, and improve the accuracy of anomaly detection by learning historical data.

5. The environmental control device based on a textile workshop according to claim 1 is characterized in that: The central control module is connected to a control module via a data signal line, the control module is connected to a data processing module via a data signal line, and the control module is used to control the operation of the environment conditioning device; The control module includes: a relay control unit, a PWM control unit and an actuator interface unit; The relay control unit is used to control the switches of air conditioners, humidifiers, and air purifiers. It ensures efficient operation of the equipment based on real-time control of environmental parameters. The PWM control unit is used to output PWM signals to control the speed and power of fans and motors. Through high-precision control, it ensures the smooth operation of the equipment and adjusts the control parameters in real time through sensor feedback. The actuator interface unit is connected to the environmental conditioning equipment through the RS485 standard interface to transmit control signals. It supports multiple devices and protocol connections to ensure system scalability.

6. The environmental control device based on a textile workshop according to claim 4 is characterized in that: The data processing module is connected to a display module via a data signal line, and the display module is used to display workshop environmental parameters and the operating status of the central control module; The display module includes: an LCD display unit, an LED indication unit and a touch input unit; The LCD display unit uses a liquid crystal display to display the user interface, real-time display of environmental parameters, historical data and alarm information; The LED indicator unit uses a high-brightness LED indicator to display the system's working status and alarm information. Multiple colors indicate different states, and there are flashing and constant light modes. The touch input unit uses a capacitive touch screen and supports multi-touch for user input and interaction, parameter setting and control.

7. The environmental control device based on a textile workshop according to claim 6 is characterized in that: The user interface in the display module is used to provide a graphical interface for operating and monitoring the system; The user interface includes: real-time monitoring unit, historical data unit and system setting unit; The real-time monitoring unit displays real-time environmental parameters and alarm information in the workshop through intuitive graphics, supports custom interface layout, meets different monitoring needs, and provides processing suggestions; The historical data unit provides data query and visualization functions, outputs trend charts and statistical charts, provides a variety of analysis tools to assist users in making decisions, automatically generates reports, supports comparative analysis of data in different time periods, and finds out the laws of environmental changes; The system setting unit is used to provide different user authority management, set system parameters, support remote configuration and management through the network, and record user operation logs to facilitate system maintenance and problem tracking.

8. The environmental control device based on a textile workshop according to claim 1 is characterized in that: The machine learning algorithm used in the intelligent analysis unit is a linear regression algorithm, and the specific algorithm formula is as follows: y=β0+β1x Among them, y is the predicted environmental parameter value; x is time and other independent variables; β0 is the intercept; β1 is the regression coefficient.

9. An environmental control system based on a textile workshop, applicable to an environmental control device based on a textile workshop according to any one of claims 1 to 8, characterized in that: The environmental control system is used to drive the environmental control device to control and adjust the environmental conditions. The environmental control system includes: a data signal input system, an intelligent analysis system and a communication system; The data signal input system is used to receive the real-time workshop environmental parameter data collected by the sensor module and pre-process the environmental parameter data according to the preset software program; The intelligent analysis system is used to drive the algorithm in the central control module to analyze the environmental data input by the data signal input module and output the control adjustment signal; The communication system is used for stable wired / wireless transmission of data and signals between modules in the environmental control device.

10. The environmental control system based on a textile workshop according to claim 9, characterized in that: The communication system transmits the control and adjustment signals output by the intelligent analysis system to each unit in the control module, controls the operation of the air conditioner, humidifier, air purifier, motor, and fan equipment, and performs adaptive control and adjustment to change the environmental parameters in the workshop.

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