An intelligent control system and controller

Abstract

The application relates to an intelligent control system and a controller for a refrigeration device; the system comprises a controller and an intelligent control system, the controller is wirelessly connected with the intelligent control system through Bluetooth, remote control and state monitoring of the refrigeration device are realized, the controller has an automatic connection function, a user does not need to manually pair, and zero-configuration intelligentization can be realized; the application solves the problems of information asymmetry and inconvenient operation in the prior art, and improves operation and maintenance efficiency and management level.

Description

Technical Field

[0001] This invention relates to the field of automation and control technology, and in particular to an intelligent control system and controller. Background Technology

[0002] In traditional refrigeration equipment operation and maintenance models, critical information such as equipment operating status and fault alarms is confined within the equipment, operating continuously yet difficult to perceive. Staff must perform complex operations on the equipment itself to check or adjust parameters, which is not only inefficient but also suffers from significant delays and blind spots. This information asymmetry and delay prevent management personnel from having a real-time, accurate, and comprehensive grasp of the entire refrigeration system's operational status.

[0003] To achieve a fundamental shift in the management of refrigeration equipment from being "invisible and impenetrable" to "fully visible and precisely controllable," an intelligent control system and its supporting controller were introduced. Through the intelligent control system embedded within the equipment, real-time data is securely and stably transmitted to the controller via Bluetooth wireless communication technology. The controller in the operator's hand thus transcends its role as a traditional single command transmitter, transforming into a mobile interactive terminal integrating control and monitoring. Through its screen, the equipment's current operating mode and fault alarm prompts are clearly displayed, as if each piece of refrigeration equipment has been given the ability to "self-report" its status in real time.

[0004] Therefore, this invention proposes an intelligent control system and controller. Summary of the Invention

[0005] This invention addresses the technical problems existing in the prior art by providing an intelligent control system and controller, which enables real-time monitoring and remote control of the operating status of refrigeration equipment, solves the problems of information asymmetry and inconvenient operation in the prior art, and improves operation and maintenance efficiency and management level.

[0006] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: an intelligent control system and controller; comprising: Controller: Includes Bluetooth module, main control module, storage module, input module, power module and display module; The intelligent control system includes a main control chip, a power module, a relay module, a 485 communication module, a wireless remote control module, and a temperature controller. The intelligent control system communicates with the temperature controller through the 485 communication module, controls the refrigeration equipment through the temperature controller, and controls the control steps and cross-sections through the relay module. The main control module of the controller is configured to execute an automatic connection method, the method including: When the controller is powered on, the Bluetooth module enters a quick pairing mode, automatically scanning and connecting to nearby smart control systems without requiring manual intervention from the user. The controller automatically identifies the connected intelligent control system and establishes a stable communication link; The controller's input module includes a touch screen and mechanical buttons. Commonly used functions are operated through the mechanical buttons, eliminating the need to activate the touch screen and achieving high efficiency and energy saving.

[0007] Furthermore, in the aforementioned intelligent control system and controller, the main control module of the controller is further configured as follows: Receive equipment status information from the intelligent control system, including real-time temperature, compressor status, fan status, and alarm status; The received device status information is displayed on the touchscreen for the user to view.

[0008] Furthermore, in the aforementioned intelligent control system and controller, the input module of the controller further includes mechanical buttons for performing common operations, including: Power switch; Steps on / off.

[0009] Furthermore, in the aforementioned intelligent control system and controller, the mechanical buttons employ a long-press trigger mechanism to prevent accidental touches.

[0010] Furthermore, the aforementioned intelligent control system and controller employ a low-power Bluetooth chip and a low-power design, and have an automatic shutdown function to extend battery life.

[0011] Furthermore, the aforementioned intelligent control system and controller, wherein the controller supports simultaneous connection to multiple intelligent control systems and has priority logic, prioritizing connection to the device with the strongest signal.

[0012] Furthermore, in the aforementioned intelligent control system and controller, the touch screen can display alarm codes so that operators can perform fault diagnosis and handling based on the alarm codes.

[0013] Furthermore, in the aforementioned intelligent control system and controller, the temperature controller also includes an automatic temperature control module. The automatic temperature control module incorporates machine learning algorithms, enabling the system to learn and optimize control strategies, thereby improving cooling efficiency and control accuracy.

[0014] Furthermore, in the aforementioned intelligent control system and controller, the automatic temperature control module includes: Data acquisition: The operating parameters and environmental parameters of the refrigeration equipment are collected through sensors; Data preprocessing involves preprocessing the collected data. Model training and optimization: A machine learning model is trained using historical operating data and preprocessed real-time data. The model takes the operating parameters of the refrigeration equipment and environmental parameters as input and control commands as output. The system monitors the operation of the refrigeration equipment and feeds the results back to the machine learning model to optimize model parameters and improve control performance. Control Decision: Based on real-time collected operating parameters and environmental parameters, control commands are generated using a trained machine learning model; Control execution: The control command is sent to the controller to control the operation of the refrigeration equipment.

[0015] The beneficial effects of this invention are: Wireless connectivity: The controller and the intelligent control system of the refrigeration equipment support Bluetooth wireless protocol connection to ensure zero-delay control within 3 meters.

[0016] Automatic pairing and connection: Features automatic connection and recovery upon proximity, allowing the connection to be automatically restored after the device restarts or is brought close by.

[0017] Multi-device priority logic: Supports one controller to match multiple intelligent control systems, prioritizing connection to the device with the strongest signal.

[0018] For an exceptional user experience, users can use the controller immediately upon receiving it without any Bluetooth pairing, achieving "zero-configuration" intelligence.

[0019] Ultra-long battery life: All devices use low-power Bluetooth chips, step-down chips and other electronic materials, and have built-in high-capacity lithium batteries. The controller automatically shuts down after a set period of inactivity to achieve ultra-long battery life.

[0020] Anti-accidental touch mechanism: Long press triggering mechanism is enabled for mechanical buttons and equipment power on / off buttons to effectively prevent accidental equipment operation caused by personnel.

[0021] Status indication: The controller should display the current status of the device in real time, such as power, device connection status, real-time temperature, device setting parameters, cooling status, working mode, compressor status, fan status, and alarm status.

[0022] Equipment control: Data is sent to the intelligent control system of the equipment in milliseconds. After receiving the data, the intelligent control system immediately executes the request issued by the controller, which can quickly detect changes in the equipment.

[0023] Intelligent alarm: If the equipment alarms, an alarm code will appear at the top of the controller screen so that operators can diagnose and handle the fault accordingly. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the structure of an intelligent controller; Figure 2 This is a schematic diagram of the structure of an intelligent control system; Figure 3 This is a physical diagram of the controller in one embodiment. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0027] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0028] like Figures 1-3 As shown, in one embodiment, the present invention provides an intelligent control system for a refrigeration device, comprising: Controller: Includes Bluetooth module, main control module, storage module, input module (touch screen and mechanical buttons), power module and display module; The intelligent control system includes a main control chip, a power supply module, a relay module, a 485 communication module, a wireless remote control module, and a temperature controller. The intelligent control system communicates with the controller through the 485 communication module, controls the refrigeration equipment through the temperature controller, and controls the control steps and cross-sections through the relay module. The main control module of the controller is configured to execute an automatic connection method, the method including: When the controller is powered on, the Bluetooth module enters a quick pairing mode, automatically scanning and connecting to nearby smart control systems without requiring manual intervention from the user. The controller automatically identifies the connected intelligent control system and establishes a stable communication link; The controller's input module includes a touch screen and mechanical buttons. Commonly used functions are operated through the mechanical buttons, eliminating the need to activate the touch screen and achieving high efficiency and energy saving.

[0029] like Figure 1 As shown, the controller includes: Bluetooth module: Uses a low-power Bluetooth chip (such as ESP32-C3) for wireless communication with the intelligent control system; Main control module: Employs a microprocessor (e.g., ESP32-C3) to process user commands, control the display, manage Bluetooth communication, etc. Storage module: Used to store device parameters, operating data, historical records, etc. Input module: includes a 2-inch capacitive touchscreen (resolution no less than 240*320px) and several mechanical buttons for user input operations; Power module: includes a lithium battery (capacity ≥800mAh) and a power management chip for power supply and charging management; Display module: Touch screen, used to display device status, parameters, alarm information, etc.

[0030] Automatic connection method executed by the main control module: After the controller is powered on, the Bluetooth module automatically enters scanning mode to search for nearby Bluetooth devices; If a previously paired smart control system is found, it will automatically attempt to connect; After a successful connection, the controller reads the device ID and parameter configuration of the intelligent control system from the storage module and displays them on the screen; If no previously paired device can be found, it will enter pairing mode and wait for a new smart control system to connect. If the connection with the intelligent control system is interrupted during operation, the controller will automatically attempt to reconnect.

[0031] The functions of mechanical buttons include: Power on / off: Press and hold the power button for 3 seconds to power on / off; Stepper control: The stepper can be turned on and off via two mechanical buttons, which are triggered by pressing and holding for 2 seconds.

[0032] Example 2: Intelligent Control System; like Figure 2 As shown, the intelligent control system includes: Main control chip: A microcontroller (such as ESP32) is used to control relays, manage communication, process data, etc. Power module: Used to supply power to various parts of the system; Temperature controller: Used to control the power switch, fan, compressor, etc. of refrigeration equipment; Relay module: used for controlling the opening and closing of the control step and the raising and lowering of the cross surface; 485 communication module: used to communicate with the temperature controller and obtain equipment operating data; Wireless remote control module: Used to receive commands from a 315MHz wireless remote control.

[0033] The workflow of an intelligent control system: After power-on, the main control chip initializes each module and establishes a connection with the controller through the 485 communication module; The main control chip periodically (e.g., every 500 milliseconds) sends data requests to the temperature controller to obtain information such as real-time temperature, compressor status, and fan status; When a control command is received from the controller, the main control chip parses the command content and controls the corresponding equipment components (such as turning the compressor on / off, adjusting the fan speed, etc.) through the temperature controller. When a command is received from the wireless remote control, the main control chip decodes the command content and executes the corresponding operation (such as turning the cooling system on / off).

[0034] In one embodiment, a viewing platform modified with an intelligent control system is used to store remains / important items; the viewing platform is equipped with a cooling system, temperature and humidity sensors, and a platform / carrier lifting mechanism.

[0035] Initialization and Connection: Controller power-on: Press and hold the power button on the controller for 3 seconds to power on the controller.

[0036] Automatic connection: After the controller is powered on, the Bluetooth module automatically enters scanning mode to search for nearby intelligent control systems; If the controller has been used before at this viewing platform, it will automatically find the previously paired smart control system and attempt to connect. If this is the first time using this viewing platform, or if previous pairing information has been lost, the controller will enter pairing mode and wait for a new intelligent control system to connect. Connection successful: Once the connection is successful, the controller will read the device ID and parameter configuration from the storage module of the intelligent control system and display them on the touch screen. The screen will display information such as "Observation Platform 1", as well as the current temperature, cooling mode and other statuses.

[0037] Status monitoring: Real-time data: After the connection is established, the controller will periodically (e.g., every 500 milliseconds) receive real-time data from the intelligent control system, including: Temperature in multiple locations inside the viewing platform (e.g., top, bottom, near visitors, etc.) humidity; Compressor status (running / stopped); Fan status (speed); Alarm status (if any); Status Display: This real-time data is clearly displayed on the controller's touchscreen, providing a clear overview of the observation deck's operating status. For example, the screen may display information such as "Temperature: -15℃", "Compressor: Running", and "Fan: Low Speed".

[0038] Equipment control: Common operations: Platform / Cross Surface Control: If you need to raise or lower the platform or cross surface, you can directly press the mechanical buttons on the controller.

[0039] Press and hold the "Step Up" button for 2 seconds to start the step rising.

[0040] Press and hold the "Step Down" button for 2 seconds to start the step down.

[0041] The cross-section is controlled in the same way.

[0042] Avoid accidental touches: Mechanical buttons use a long press trigger mechanism, which can effectively prevent accidental button touches during operation.

[0043] Data transmission: The controller will send control commands to the intelligent control system via Bluetooth wireless communication.

[0044] Command execution: After receiving the control command, the intelligent control system: Temperature control: If the command is to adjust the cooling temperature, the intelligent control system will communicate with the temperature controller through the 485 communication module to set the target temperature; the temperature controller will then control the operation of components such as the compressor and fan according to the set temperature. Platform / Cross-section Control: If the command is to lift the platform / cross-section, the intelligent control system will drive the relay module to control the motor of the platform / cross-section to run.

[0045] Intelligent alarm: Alarm detection: The intelligent control system monitors the operating status of the viewing platform in real time; if any abnormality occurs, such as excessive temperature or sensor failure, the intelligent control system will trigger an alarm. Alarm notification: Once an alarm occurs, an alarm code will immediately appear at the top of the controller screen, such as "E01: Temperature sensor failure"; Fault diagnosis: Based on the alarm code, consult the manual or professional personnel to quickly diagnose the cause of the fault and take corresponding measures to handle it.

[0046] Automatic temperature control: Data acquisition is carried out using temperature and humidity sensors, compressor operation status sensors, etc., to continuously collect information such as the temperature and humidity inside the viewing platform, the ambient temperature and humidity, compressor operation data, and the number of times the door is opened; Data preprocessing: Cleaning outlier data, using filtering algorithms to reduce noise, and extracting features such as temperature change rate, humidity change rate, and historical temperature trends; Model training and optimization: Machine learning models are trained using historical operating data and preprocessed real-time data, such as PID algorithms combined with fuzzy logic, or regression models and reinforcement learning models. The goal of this model is to predict temperature changes under different control commands based on operating parameters and environmental parameters, and to learn the optimal control strategy.

[0047] Control Decisions: Based on real-time collected operating and environmental parameters, machine learning models generate control commands, such as setting the temperature, adjusting the compressor power, and adjusting the fan speed.

[0048] Control execution: Control commands are sent to the temperature controller to control the operation of the refrigeration equipment, such as turning the compressor on or off, and adjusting the fan speed.

[0049] Ultra-long battery life and anti-accidental touch: Low power consumption design: The controller uses low power Bluetooth chips, step-down chips and other electronic materials, and has a built-in high-capacity lithium battery to ensure long battery life.

[0050] Automatic shutdown: To further extend the battery life, the controller will automatically shut down after a set time (e.g., 10 minutes) of inactivity.

[0051] Anti-accidental touch mechanism: Both mechanical buttons and equipment power on / off buttons are equipped with a long-press trigger mechanism to effectively prevent accidental equipment operation caused by personnel.

[0052] In one embodiment, the working process of the automatic temperature control module (taking the viewing platform as an example). Data collection: Sensor Data Acquisition: In the viewing platform's cooling system, sensors (such as temperature sensors and humidity sensors) collect the following data in real time: Temperature inside the viewing platform (at multiple points, such as the top, bottom, and near visitors); The ambient temperature and humidity outside the viewing platform; Operating status of the refrigeration compressor (e.g., current, voltage, running time, etc.); The fan's rotational speed and air volume; Number of times the door was opened and the opening time; Data preprocessing: Data cleaning: Remove outliers (such as erroneous data caused by sensor malfunctions).

[0053] Data smoothing: Use filtering algorithms (such as moving averages) to reduce noise interference.

[0054] Feature engineering: Extracting useful features from raw data (e.g., temperature change rate, humidity change rate, historical temperature trends, etc.).

[0055] Model training and optimization: Model selection: Choose a suitable machine learning model.

[0056] PID Algorithm + Fuzzy Logic Rules: Based on the PID algorithm, fuzzy logic is used to automatically tune and adjust PID parameters to adapt to different operating conditions.

[0057] Regression models (e.g., linear regression, support vector regression, SVR): used to predict temperature changes under different control commands.

[0058] Reinforcement learning model: Train an agent to learn the best control strategy by interacting with the environment.

[0059] Model training: The model is trained using a large amount of historical operational data (including collected sensor data and historical control commands).

[0060] Model optimization: By continuously monitoring the operating performance of the refrigeration equipment and feeding back the operating performance (such as temperature stability and energy consumption) to the machine learning model, the model parameters are optimized.

[0061] Control Decisions: Based on real-time collected operating and environmental parameters, control commands are generated using a trained machine learning model. These control commands may include: Set the cooling temperature; Adjust the compressor's operating power; Adjust the fan speed; Turn the dehumidification function on or off; Control execution: Control commands are sent to the temperature controller, which then controls the operation of various components of the refrigeration equipment (such as compressors, fans, solenoid valves, etc.).

[0062] The core principle of the automatic temperature control module is to use machine learning algorithms to establish a mapping relationship between the refrigeration system's operating parameters, environmental parameters, and control commands. Through continuous learning and optimization, the system can automatically adjust its control strategy based on the current state and future trends to achieve the best cooling effect.

[0063] In this embodiment, the machine learning algorithm can dynamically adjust the control strategy according to the actual situation, avoid unnecessary energy waste, and improve cooling efficiency.

[0064] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0065] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An intelligent control system and controller, characterized in that, include: Controller: Includes Bluetooth module, main control module, storage module, input module, power module and display module; The intelligent control system includes a main control chip, a power module, a relay module, a 485 communication module, a wireless remote control module, and a temperature controller. The intelligent control system communicates with the temperature controller through the 485 communication module, controls the refrigeration equipment through the temperature controller, and controls the control steps and cross-sections through the relay module. The main control module of the controller is configured to execute an automatic connection method, the method including: When the controller is powered on, the Bluetooth module enters a quick pairing mode, automatically scanning and connecting to nearby smart control systems without requiring manual intervention from the user. The controller automatically identifies the connected intelligent control system and establishes a stable communication link; The controller's input module includes a touch screen and mechanical buttons. Commonly used functions are operated through the mechanical buttons, eliminating the need to activate the touch screen and achieving high efficiency and energy saving.

2. The intelligent control system and controller according to claim 1, characterized in that, The main control module of the controller is also configured as follows: Receive equipment status information from the intelligent control system, including real-time temperature, compressor status, fan status, and alarm status; The received device status information is displayed on the touchscreen for the user to view.

3. The intelligent control system and controller according to claim 1, characterized in that, The controller's input module also includes mechanical buttons for performing common operations, including: Power switch; Steps on / off.

4. The intelligent control system and controller according to claim 1, characterized in that, The mechanical buttons use a long-press trigger mechanism to prevent accidental touches.

5. The intelligent control system and controller according to claim 1, characterized in that, The controller uses a low-power Bluetooth chip and a low-power design, and has an automatic shutdown function to extend battery life.

6. The intelligent control system and controller according to claim 1, characterized in that, The controller supports simultaneous connection to multiple intelligent control systems and has priority logic, prioritizing connection to the device with the strongest signal.

7. The intelligent control system and controller according to claim 1, characterized in that, The touch screen can display alarm codes so that operators can diagnose and handle faults based on the alarm codes.

8. The intelligent control system and controller according to claim 1, characterized in that, The temperature controller also includes an automatic temperature control module, which incorporates machine learning algorithms to enable the system to learn and optimize control strategies, thereby improving cooling efficiency and control accuracy.

9. The intelligent control system and controller according to claim 8, characterized in that, The automatic temperature control module includes: Data acquisition: The operating parameters and environmental parameters of the refrigeration equipment are collected through sensors; Data preprocessing involves preprocessing the collected data. Model training and optimization: A machine learning model is trained using historical operating data and preprocessed real-time data. The model takes the operating parameters of the refrigeration equipment and environmental parameters as input and control commands as output. The system monitors the operation of the refrigeration equipment and feeds the results back to the machine learning model to optimize model parameters and improve control performance. Control Decision: Based on real-time collected operating parameters and environmental parameters, control commands are generated using a trained machine learning model; Control execution: The control command is sent to the temperature controller to control the operation of the refrigeration equipment.

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