Intelligent energy tower heat pump unit device

Abstract

The utility model relates to the field of energy and environmental engineering technology, concretely relates to a kind of intelligent regulation and control energy tower heat pump unit device, it includes signal acquisition module, data processing unit and execution drive module.Signal acquisition module detects environmental humidity, refrigerant concentration and the like parameter by multiple type sensor, and is converted into digital signal by signal conditioning circuit;Data processing unit integrates dynamic decision algorithm module, generates control instruction based on fuzzy logic control in combination with the operation parameter table stored;Execution drive module controls fan, water pump and compressor by PWM signal generator, relay and frequency converter respectively, realizes collaborative regulation.This application is also provided with communication interface module to support remote monitoring.This device significantly improves the system full-condition adaptive capacity and operating efficiency, meets the efficient energy-saving demand under complex working condition.

Description

Technical Field

[0001] This utility model relates to the field of energy and environmental engineering technology, and more specifically, to an intelligent control energy tower heat pump unit device. Background Technology

[0002] In the control applications of energy tower heat pump units, corresponding circuit structure design is typically involved. Existing conventional circuit structures mainly include sensor modules, signal processing units connected to the sensor modules, and actuator drive circuits connected to the signal processing units. While these can meet basic operational requirements, under complex operating conditions, the circuit structure design is often limited to single-parameter feedback or preset mode switching logic, making it difficult to achieve real-time acquisition and collaborative processing of multi-source data. Furthermore, existing circuit structures lack sufficient sensing capabilities for key operating parameters such as ambient humidity and refrigerant concentration, and lack dynamic decision-making mechanisms supported by intelligent algorithms. This results in limited control accuracy and adaptability of the system under low-temperature, high-humidity, or extreme climatic conditions, affecting overall energy efficiency and operational stability.

[0003] To address the aforementioned issues, there is an urgent need for an intelligent control energy tower heat pump unit. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent control device with a reasonable circuit structure design that can significantly improve the operating efficiency and adaptability of energy tower heat pump units.

[0005] The technical solution for achieving the purpose of this utility model is an intelligent control energy tower heat pump unit device, including a signal acquisition module, a data processing unit, and an execution drive module. The signal acquisition module includes multiple sensors for detecting ambient humidity, refrigerant concentration, refrigerant circulation status, and inlet / outlet air temperature difference. The data processing unit is connected to the signal acquisition module via a multi-channel signal input interface and integrates a dynamic decision-making algorithm module. The execution drive module includes a fan speed control circuit, a water pump drive circuit, and a compressor control circuit, and is connected to the data processing unit via an output interface.

[0006] The sensor in the signal acquisition module is connected to the multi-channel signal input interface of the data processing unit through a signal conditioning circuit. The signal conditioning circuit includes an amplifier, a filter, and an analog-to-digital converter. The input terminal of the amplifier is connected to the output terminal of the sensor, the output terminal of the amplifier is connected to the input terminal of the analog-to-digital converter through a filter, and the output terminal of the analog-to-digital converter is connected to the multi-channel signal input interface of the data processing unit.

[0007] The dynamic decision-making algorithm module of the data processing unit is connected to the storage unit through the logic operation unit. The storage unit pre-stores a table of operating parameters under multiple operating conditions. The logic operation unit compares and analyzes the real-time collected data with the operating parameter table in the storage unit and generates corresponding control commands.

[0008] The fan speed control circuit in the execution drive module is connected to the output interface of the data processing unit through a PWM signal generator, and the output of the PWM signal generator is connected to the fan motor through a drive chip; the water pump drive circuit is connected to the output interface of the data processing unit through a relay, and the contacts of the relay are connected in series in the power supply circuit of the water pump; the compressor control circuit is connected to the output interface of the data processing unit through a frequency converter, and the output of the frequency converter is connected to the power supply terminal of the compressor.

[0009] Furthermore, the data processing unit further includes a communication interface module, which is connected to an external monitoring terminal via a serial communication protocol and adopts the RS485 communication standard.

[0010] Furthermore, the dynamic decision-making algorithm module employs a fuzzy logic control algorithm, which quantifies the input parameters through a membership function and generates a corresponding output control strategy through a rule base.

[0011] Furthermore, the sensors in the signal acquisition module include a humidity sensor, a conductivity sensor, and a temperature sensor. The probe of the humidity sensor is installed at the air inlet of the spray tower, the probe of the conductivity sensor is installed in the refrigerant pipeline, and the probes of the temperature sensor are installed at the air inlet and air outlet of the spray tower, respectively.

[0012] Furthermore, the drive chip in the fan speed control circuit is an IR2110 type drive chip. The input terminal of the IR2110 type drive chip is connected to the output terminal of the PWM signal generator, and the output terminal of the IR2110 type drive chip is connected to the motor of the fan through a power transistor.

[0013] This invention offers several advantages: Its circuit structure is rationally designed. Through multiple sensors in the signal acquisition module, it comprehensively senses key operating parameters such as ambient humidity, refrigerant concentration, and refrigerant circulation status. The signal conditioning circuit converts these sensor signals into digital signals compatible with the data processing unit. The integrated dynamic decision-making algorithm module within the data processing unit, based on fuzzy logic control and combined with the operating parameter table in the storage unit, can accurately analyze operational needs under complex conditions and generate control commands. The execution drive module uses a PWM signal generator, relays, and frequency converters to coordinate the control of the fan, water pump, and compressor, ensuring the coordinated adjustment capability between these devices. Furthermore, the communication interface module allows external monitoring terminals to acquire real-time system operating status and remotely intervene. This overall design not only solves the problems of single-dimensional control and delayed response in existing technologies but also significantly improves the system's all-condition adaptive capability and operational stability, meeting the requirements for high-efficiency and energy-saving operation under complex conditions. Attached Figure Description

[0014] Figure 1 This is a structural block diagram of the intelligent control energy tower heat pump unit device of this utility model; Figure 2 This is a flowchart of the processing steps of the signal conditioning circuit in this utility model; Figure 3 This is a control principle diagram of the execution drive module in the utility model.

[0015] The attached figures are labeled as follows: 1. Signal acquisition module; 2. Data processing unit; 3. Execution drive module; 4. Sensor; 5. Signal conditioning circuit; 6. Amplifier; 7. Filter; 8. Analog-to-digital converter; 9. Dynamic decision algorithm module; 10. Storage unit; 11. Fan speed control circuit; 12. Water pump drive circuit; 13. Compressor control circuit; 14. PWM signal generator; 15. Driver chip; 16. Relay; 17. Frequency converter; 18. Communication interface module. Detailed Implementation

[0016] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present utility model without creative effort are within the protection scope of the present utility model.

[0017] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” and “described” used herein may also include the plural forms. It should be further understood that the word “comprising” as used in this specification means the presence of the described features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0018] Please see Figures 1-3 As shown, an intelligent control energy tower heat pump unit is provided, whose structure mainly includes a signal acquisition module 1, a data processing unit 2, and an execution drive module 3. The following description, in conjunction with the attached diagram, illustrates this. Figure 1 To be continued Figure 3 The specific embodiments of this utility model will be described in detail with reference to the component numbers marked in the accompanying drawings.

[0019] The signal acquisition module 1 consists of multiple sensors 4, including a humidity sensor, a conductivity sensor, and a temperature sensor. The humidity sensor probe is installed at the air inlet of the spray tower to detect ambient humidity; the conductivity sensor probe is installed in the refrigerant pipeline to detect refrigerant concentration; and the temperature sensor probes are installed at both the air inlet and outlet of the spray tower to detect the temperature difference between the inlet and outlet air. These sensors 4 are connected to the data processing unit 2 via a signal conditioning circuit 5. The signal conditioning circuit 5 includes an amplifier 6, a filter 7, and an analog-to-digital converter 8, such as... Figure 2 As shown, the output signal of sensor 4 first enters amplifier 6 for signal amplification. The amplified signal is then filtered by filter 7 to remove noise interference. The analog signal is then converted into a digital signal by analog-to-digital converter 8 and finally transmitted to the multi-channel signal input interface of data processing unit 2.

[0020] Data processing unit 2 is the core control component of the entire device, integrating a dynamic decision-making algorithm module 9 and a storage unit 10. The dynamic decision-making algorithm module 9 employs a fuzzy logic control algorithm, quantifying input parameters through a membership function and generating corresponding output control strategies based on a rule base. Storage unit 10 pre-stores operating parameter tables under multiple operating conditions for comparative analysis with real-time acquired data. Data processing unit 2 also includes a communication interface module 18, which connects to an external monitoring terminal via RS485 communication, enabling real-time monitoring and remote intervention of the system's operating status. Based on real-time data provided by signal acquisition module 1 and the operating parameter tables in storage unit 10, data processing unit 2 generates control commands through a logic operation unit and sends these commands to execution drive module 3 via the output interface.

[0021] The execution drive module 3 includes a fan speed control circuit 11, a water pump drive circuit 12, and a compressor control circuit 13. The fan speed control circuit 11 is connected to the output interface of the data processing unit 2 via a PWM signal generator 14. The output of the PWM signal generator 14 is connected to the fan motor via a driver chip 15. The driver chip 15 is an IR2110 type driver chip. Its input receives the signal from the PWM signal generator 14, and its output is connected to the fan motor via a power transistor, achieving precise adjustment of the fan speed. The water pump drive circuit 12 is connected to the output interface of the data processing unit 2 via a relay 16. The contacts of the relay 16 are connected in series in the water pump's power supply circuit. When the data processing unit 2 issues a control command, the contacts of the relay 16 close or open, thereby controlling the start and stop of the water pump. The compressor control circuit 13 is connected to the output interface of the data processing unit 2 via a frequency converter 17. The output of the frequency converter 17 is connected to the compressor's power supply terminal. By adjusting the output frequency of the frequency converter 17, the compressor's operating speed is dynamically adjusted.

[0022] During actual operation, sensor 4 in signal acquisition module 1 continuously monitors key parameters such as ambient humidity, refrigerant concentration, refrigerant circulation status, and inlet / outlet air temperature difference. The detected signals are processed by signal conditioning circuit 5 and then transmitted to data processing unit 2. Upon receiving the signals, data processing unit 2 uses dynamic decision algorithm module 9 to analyze the operating parameter table in storage unit 10 and generate the optimal control strategy for the current operating condition. For example, in a high-humidity environment, dynamic decision algorithm module 9 may determine that it is necessary to increase the fan speed to enhance dehumidification while simultaneously reducing the compressor operating frequency to decrease energy consumption. Data processing unit 2 sends these control commands to execution drive module 3 via the output interface. In execution drive module 3, fan speed control circuit 11 adjusts the fan speed according to the received PWM signal, water pump drive circuit 12 controls the start and stop of the water pump via relay 16, and compressor control circuit 13 adjusts the compressor operating frequency via inverter 17, thereby achieving coordinated adjustment between various devices.

[0023] Furthermore, the communication interface module 18 enables real-time communication with an external monitoring terminal. The external monitoring terminal can acquire system operating status data via the RS485 communication protocol and send remote control commands when necessary, enabling online intervention in the system. For example, when the monitoring terminal detects that a certain operating parameter exceeds the set range, it can manually send commands to adjust the fan speed or compressor frequency to ensure the system is always in optimal operating condition.

[0024] This invention achieves intelligent control of the energy tower heat pump unit through the coordinated operation of the signal acquisition module 1, data processing unit 2, and execution drive module 3. The sensor 4 in the signal acquisition module 1 comprehensively senses the environment and equipment operating status. The signal conditioning circuit 5 converts the sensor signals into digital signals adapted to the data processing unit 2. The data processing unit 2 generates precise control commands through the dynamic decision algorithm module 9, and the execution drive module 3 precisely controls the fan, water pump, and compressor according to the commands. The connections between the modules are clear, and the signal transmission paths are well-defined, ensuring the system's efficient operation and adaptability to all operating conditions.

[0025] To enable those skilled in the art to fully understand and implement this utility model, the specific implementation principle of this utility model is further explained below in conjunction with a specific application scenario.

[0026] In the actual operation of the energy tower heat pump unit, the environmental and equipment operating status must first be comprehensively perceived through sensors 4 in the signal acquisition module 1. A humidity sensor is installed at the air inlet of the spray tower to detect ambient humidity in real time; a conductivity sensor is installed in the refrigerant pipeline to monitor changes in refrigerant concentration; and temperature sensors are installed at the air inlet and outlet of the spray tower to measure the temperature difference between the inlet and outlet air. These sensors 4 transmit the detected analog signals to the signal conditioning circuit 5. For example... Figure 2 As shown, the output signal of sensor 4 first enters amplifier 6 for signal amplification to ensure that the signal strength is sufficient for subsequent processing. Then, the amplified signal passes through filter 7 to remove noise interference, ensuring signal purity. Finally, analog-to-digital converter 8 converts the processed analog signal into a digital signal and transmits it to data processing unit 2 through a multiplexer interface.

[0027] After receiving the signal, the data processing unit 2 initiates the dynamic decision-making algorithm module 9 to analyze the input parameters. The dynamic decision-making algorithm module 9 employs a fuzzy logic control algorithm, quantifying key parameters such as ambient humidity, refrigerant concentration, and inlet / outlet air temperature difference using membership functions, and generating corresponding output control strategies based on a rule base. The storage unit 10 pre-stores operating parameter tables for multiple operating conditions. The data processing unit 2 compares and analyzes the real-time collected data with the operating parameter tables in the storage unit 10 through its logic operation unit, thereby generating the optimal control command for the current operating condition. For example, in a low-temperature, high-humidity environment, the dynamic decision-making algorithm module 9 might determine that it is necessary to increase the fan speed to enhance dehumidification while simultaneously reducing the compressor operating frequency to decrease energy consumption. The generated control command is sent to the execution drive module 3 through the output interface of the data processing unit 2.

[0028] The drive module 3 precisely controls the fan, water pump, and compressor according to the received control commands. The fan speed control circuit 11 receives commands from the data processing unit 2 via a PWM signal generator 14. The output of the PWM signal generator 14 is connected to the fan motor via an IR2110 driver chip 15. The driver chip 15 converts the PWM signal into a drive signal for the power transistor, thereby achieving precise adjustment of the fan speed. The water pump drive circuit 12 receives control commands via a relay 16, whose contacts are connected in series in the water pump's power supply circuit. When the data processing unit 2 issues a start command, the contacts of the relay 16 close, and the water pump starts; conversely, the contacts open, and the water pump stops. The compressor control circuit 13 is connected to the data processing unit 2 via a frequency converter 17. The frequency converter 17 adjusts its output frequency according to the received commands, thereby dynamically adjusting the compressor's operating speed. This coordinated adjustment between the various devices ensures the efficient operation of the system.

[0029] Furthermore, the communication interface module 18 connects to an external monitoring terminal via the RS485 communication standard, enabling real-time monitoring and remote intervention of the system's operating status. The external monitoring terminal can obtain system operating parameters, such as ambient humidity, refrigerant concentration, and equipment operating status, through the communication interface module 18. When the monitoring terminal detects that an operating parameter exceeds the set range, such as a significant increase in ambient humidity or an abnormal refrigerant concentration, the monitoring terminal can manually send commands to adjust the fan speed or compressor operating frequency, thereby ensuring that the system is always in optimal operating condition.

[0030] Through the above steps, this invention achieves intelligent control of the energy tower heat pump unit. Sensor 4 in the signal acquisition module 1 comprehensively senses the environment and equipment operating status. The signal conditioning circuit 5 converts the sensor signals into digital signals adapted to the data processing unit 2. The data processing unit 2 generates precise control commands through the dynamic decision algorithm module 9, and the execution drive module 3 precisely controls the fan, water pump, and compressor according to the commands. The connections between the modules are clear, and the signal transmission paths are well-defined, ensuring the system's efficient operation and adaptability to all operating conditions. For example, under extreme climatic conditions, through the analysis of the dynamic decision algorithm module 9, the system can quickly respond and adjust the equipment operating status, thereby significantly improving control accuracy and adaptability, and meeting the needs of efficient and energy-saving operation under complex conditions.

[0031] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A smart control energy tower heat pump unit, characterized in that: It includes a signal acquisition module (1), a data processing unit (2), and an execution drive module (3); The signal acquisition module (1) includes multiple sensors (4), which are used to detect ambient humidity, refrigerant concentration, refrigerant circulation status and inlet and outlet air temperature difference, respectively. The data processing unit (2) is connected to the signal acquisition module (1) through a multi-channel signal input interface. The data processing unit (2) integrates a dynamic decision algorithm module (9). The execution drive module (3) includes a fan speed regulation circuit (11), a water pump drive circuit (12) and a compressor control circuit (13). The execution drive module (3) is connected to the data processing unit (2) through an output interface.

2. The intelligent control energy tower heat pump unit device according to claim 1, characterized in that: The sensor (4) in the signal acquisition module (1) is connected to the multi-channel signal input interface of the data processing unit (2) through the signal conditioning circuit (5); The signal conditioning circuit (5) includes an amplifier (6), a filter (7) and an analog-to-digital converter (8); the input terminal of the amplifier (6) is connected to the output terminal of the sensor (4), the output terminal of the amplifier (6) is connected to the input terminal of the analog-to-digital converter (8) through the filter (7), and the output terminal of the analog-to-digital converter (8) is connected to the multi-channel signal input interface of the data processing unit (2).

3. The intelligent control energy tower heat pump unit device according to claim 1, characterized in that: The dynamic decision algorithm module (9) of the data processing unit (2) is connected to the storage unit (10) through the logic operation unit; the storage unit (10) pre-stores a table of operating parameters under multiple working conditions.

4. The intelligent control energy tower heat pump unit device according to claim 2, characterized in that: The fan speed control circuit (11) in the execution drive module (3) is connected to the output interface of the data processing unit (2) through the PWM signal generator (14); The output of the PWM signal generator (14) is connected to the motor of the fan through the driver chip (15); the water pump drive circuit (12) is connected to the output interface of the data processing unit (2) through the relay (16), and the contacts of the relay (16) are connected in series in the power supply circuit of the water pump. The compressor control circuit (13) is connected to the output interface of the data processing unit (2) through the frequency converter (17), and the output terminal of the frequency converter (17) is connected to the power supply terminal of the compressor.

5. The intelligent control energy tower heat pump unit device according to claim 3, characterized in that: The data processing unit (2) further includes a communication interface module (18), which is connected to an external monitoring terminal via a serial communication protocol and adopts the RS485 communication standard.

6. The intelligent control energy tower heat pump unit device according to claim 4, characterized in that: The sensors (4) in the signal acquisition module (1) include a humidity sensor, a conductivity sensor and a temperature sensor; The probe of the humidity sensor is installed at the air inlet of the spray tower, the probe of the conductivity sensor is installed in the refrigerant pipeline, and the probes of the temperature sensor are installed at the air inlet and air outlet of the spray tower, respectively.

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