Air conditioner dynamic temperature difference AI adjusting system based on Internet of Things

Abstract

The invention provides an air conditioner dynamic temperature difference AI adjusting system based on the Internet of Things. The system comprises a control box, an Internet of Things control terminal and an Internet of Things temperature difference adjusting valve. A Bluetooth module is arranged in the control box, and a user can modify air conditioner parameters in a near-field mode through an APP and conduct energy consumption statistics in different periods; the Internet of Things control terminal is used for presetting air conditioner parameters, adjusting the air volume, the temperature and the humidity of each area in real time according to environment changes and human body surface data, and meanwhile calculating the energy consumption requirement of each area. The internet-of-things temperature difference adjusting valve is used for controlling the water flow of the water pump system according to the energy demand; according to the system provided by the invention, the effect of saving energy is achieved through scientific management operation and application of an energy-saving technology, and related expenses can be reduced or earnings can be increased.

Description

Technical Field

[0001] The present invention relates to the field of air conditioner temperature difference regulation, and in particular to an air conditioner dynamic temperature difference AI regulation system based on the Internet of Things. Background Art

[0002] The air conditioning industry has experienced rapid development and changes in recent years, especially in the context of global climate change and energy crisis, its development status and trends have attracted much attention. The global air conditioning market has shown a steady growth trend in the past few years.

[0003] With the advancement of science and technology, the air-conditioning industry is experiencing a wave of technological innovation. Intelligence, energy saving and environmental protection have become the main development direction of the air-conditioning industry. The air-conditioning industry is facing huge challenges, but it also provides development opportunities for technologically advanced companies.

[0004] The existing air conditioning temperature difference adjustment technology cannot always maintain the human body temperature in a comfortable temperature range. Therefore, it is urgent to develop a new air conditioning temperature difference adjustment system to always provide users with a comfortable temperature according to different environments, while achieving high efficiency, energy saving and low emissions. Summary of the invention

[0005] The purpose of the present invention is to provide an air-conditioning dynamic temperature difference AI adjustment system based on the Internet of Things. Based on AI technology, the temperature difference is adjusted through a control box, an Internet of Things control terminal and an Internet of Things dynamic temperature difference adjustment valve to achieve dynamic temperature difference adjustment and save energy. To achieve the above purpose, the present invention provides an air-conditioning dynamic temperature difference AI adjustment system based on the Internet of Things, including: a control box, an Internet of Things control terminal and an Internet of Things dynamic temperature difference adjustment valve; The control box has a built-in Bluetooth module, which allows users to modify air conditioning parameters through the APP near field and perform energy consumption statistics by time period; The IoT control terminal is used to preset air conditioning parameters, adjust the air volume, temperature and humidity of each area in real time according to environmental changes and human body surface data, and calculate the energy demand of each area; The IoT dynamic temperature difference regulating valve is used to control the water flow of the water pump system according to energy demand; The water pump system provides power in the water circulation of the air conditioning system, driving the coolant or refrigerant to flow between various parts of the air conditioning system; The air conditioning parameters include: temperature, mode, wind speed, multi-stage timing scheduling, and automatic temperature rise and fall when someone is there or not.

[0006] Furthermore, before the Internet of Things control terminal adjusts the air volume, temperature and humidity of each area in real time, the temperature and humidity of each area are collected through temperature and humidity sensors, the flow of people in each area is collected through human body sensors, and the surface temperature of human bodies in each area is collected through infrared temperature measurement.

[0007] Furthermore, the water pump system adopts a primary pump and secondary pump structure, and the secondary pump adopts T-level frequency conversion; the primary pump and the secondary pump are independent of each other, the primary pump is directly connected to the air-conditioning host, and is connected to the secondary pump through a cold storage buffer water tank.

[0008] Furthermore, the system also includes: an integrated energy management module for collecting indoor temperature, outdoor temperature and energy station data, and controlling the energy supply of the air-conditioning host according to an AI algorithm.

[0009] Furthermore, the control of the energy supply of the air-conditioning host includes: collecting the temperature changes in the indoor air-conditioning working area and the outdoor temperature in real time through a temperature sensor, monitoring the real-time power of the air-conditioning host, and constructing a relationship model between temperature, time and power.

[0010] Furthermore, the AI ​​algorithm includes: at least one of host adaptive control, predictive control, fuzzy logic control and neural network control.

[0011] Furthermore, the system also includes: an alarm module, which is used to detect air-conditioning abnormalities and feed back to the intelligent management platform for alarm.

[0012] Further, the alarm module includes: a water quality detection unit and a temperature difference detection unit; The water quality detection unit is used to obtain the water quality data collected by the water quality stabilizer in the water pump system, and issue a water quality abnormality alarm when the water quality data exceeds a preset safety value. The water quality data includes: conductivity, hardness, pH value, and alkalinity; The temperature difference detection unit is used to obtain the temperature difference data of the heat exchanger and issue a temperature difference abnormality alarm when the temperature difference data exceeds a preset safety value; the heat exchanger is controlled by the Internet of Things dynamic temperature difference regulating valve.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1) The present invention combines data such as temperature and humidity sensors, human body sensors, water demand, energy, etc. to calculate the best operation strategy, automatically adjust the air conditioner host, water pump and other equipment to the best efficiency, and achieve energy saving and consumption reduction; 2) The present invention targets different scenarios. After the terminal is modified, the system algorithm automatically adjusts the air volume and temperature of the area according to the temperature changes and the flow of people at the terminal, while ensuring comfort, to meet the energy saving requirements based on comfortable temperature and humidity. In addition, the energy consumption of each room can be calculated based on the energy consumption data of each terminal, thereby achieving refined management.

[0014] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 This is a structural diagram of an air-conditioning dynamic temperature difference AI adjustment system based on the Internet of Things provided according to an embodiment of the present invention; Figure 2 It is a structural diagram of energy supply by an integrated energy management module provided according to an embodiment of the present invention.

[0017] In the figure, 10 is a control box, 20 is an Internet of Things control terminal, and 30 is an Internet of Things dynamic temperature difference regulating valve. DETAILED DESCRIPTION

[0018] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0019] Figure 1 This is a structural diagram of an air-conditioning dynamic temperature difference AI adjustment system based on the Internet of Things provided in Example 1 of the present invention. This embodiment can be applied to the situation of automatic temperature control of industrial-grade energy-saving air conditioners. The embodiment of the present invention provides an air-conditioning dynamic temperature difference AI adjustment system based on the Internet of Things. The system includes: a control box, an Internet of Things control terminal, and an Internet of Things dynamic temperature difference adjustment valve. By calculating the energy demand of each area, the operation of the air-conditioning host is adjusted and the flow rate of cold water supply is changed.

[0020] The control box has a built-in Bluetooth module, which allows users to modify air-conditioning parameters through the APP and perform energy consumption statistics in different time periods.

[0021] In the embodiment of the present invention, the control box can calculate the energy consumption of each room by collecting the energy consumption data of each terminal. The energy consumption data includes: electric energy and the like.

[0022] The IoT control terminal is used to preset air conditioning parameters, adjust the air volume, temperature and humidity of each area in real time according to environmental changes and human body surface data, and calculate the energy demand of each area.

[0023] The IoT dynamic temperature differential control valve is used to control the water flow of the water pump system according to energy demand.

[0024] The water pump system provides power in the air conditioning system's water circulation, ensuring that the coolant or refrigerant flows between the various parts of the system.

[0025] Among them, air conditioning parameters include: temperature, mode, wind speed, multi-stage timing scheduling, automatic temperature rise and fall when someone is there / no one is there, etc.

[0026] The control box is used for the intelligent control system of the air conditioner. It has Bluetooth function and can view and modify DDC parameters through the APP near field. According to user needs, it can complete calculation functions such as time-divided power and energy statistics.

[0027] The IoT control terminal can preset parameters such as temperature, mode, wind speed, multi-stage timing scheduling, automatic heating and cooling when occupied / unoccupied; it can be remotely controlled by mobile phone; it can also count power consumption and heat consumption in different time periods; and it can adjust the temperature and humidity in the required area in real time to best suit the human body.

[0028] The IoT dynamic temperature differential control valve controls the inlet flow of heat exchangers, air conditioning units or other heating and cooling equipment and primary hot (cold) media to achieve the control of the equipment outlet temperature. When the load changes, the flow is adjusted by changing the valve opening to eliminate the impact of load fluctuations and restore the temperature to the set value. It can achieve large temperature difference, small flow, and energy saving; at the same time, it can automatically adjust the pipeline hydraulic balance; it can realize different-process design and reduce pipeline investment.

[0029] Furthermore, before the Internet of Things control terminal adjusts the air volume, temperature and humidity of each area in real time, the temperature and humidity of each area are collected through temperature and humidity sensors, the flow of people in each area is collected through human body sensors, and the surface temperature of human bodies in each area is collected through infrared temperature measurement.

[0030] In the embodiment of the present invention, the air volume can be adjusted by setting a Venturi valve at the air outlet of the air conditioner main unit. In the temperature and humidity control mode, the system first sets the room temperature value as a reference, and maintains the stability of the air conditioning system operation through this reference value. When the indoor load changes and the air volume demand changes, the Venturi valve in the air conditioning system becomes the main tool for adjusting the air volume. The Venturi valve can respond quickly and automatically adjust the opening according to the instructions of the indoor thermostat to maintain the set indoor temperature and humidity conditions. At this time, the air supply volume of the air conditioning system is controlled by the difference between the static pressure in the air duct and the set value to control the inverter to work, adjust the fan speed, and flexibly adjust the air supply volume while ensuring the stability of the static pressure. The air outlet of the air conditioner is adjusted based on the ambient temperature and humidity data so that the change in ambient temperature and humidity with the air outlet of the air conditioner in unit time is almost zero. At the same time, according to the amount of human flow, the energy consumption of the air conditioner main unit is adjusted, and different energy consumption ranges are established for different human flows to adjust the air conditioner main unit. Finally, based on the human body surface temperature data, determine whether the current value of the human body surface temperature is within the preset comfortable temperature range. If it is not within the preset comfortable temperature range, gradually adjust the air outlet speed of the air conditioner; again detect whether the human body surface temperature is within the preset comfortable temperature range, and stop adjusting until the human body surface temperature is within the preset comfortable temperature range.

[0031] The water pump system in the embodiment of the present invention adopts a primary pump and a secondary pump structure, and the secondary pump adopts a T-level frequency conversion. The primary pump and the secondary pump are independent of each other, and the primary pump is directly connected to the air conditioner host and connected to the secondary pump through a cold storage buffer water tank.

[0032] If the cold source end and the load end form a complete closed loop, it is called a primary pump. Only one level of water pump is needed to promote the water circulation of the entire system, so it is also called a primary pump system. If a bypass pipe connected to the supply and return water main is set between the cold source end and the load end, the system is divided into two closed loops that can circulate separately, which is called a secondary pump. Each loop of the secondary pump needs to be equipped with a water pump to promote its own circulation, that is, a two-stage water pump needs to be set, so it is also called a secondary pump system.

[0033] The secondary pump uses a T-class pump, which saves part of the fixed-frequency energy consumption of the previous stage through the frequency conversion of the secondary pump. A T-class pump, that is, a multi-stage pump, is a centrifugal pump in which the inlet and outlet sections and the middle section are combined by a tie rod, and its output water pressure can be very high.

[0034] The cold storage buffer water tank is used to decouple the cold supply end from the cold use end, reduce the power consumption of the air conditioner host, and keep the refrigeration host in the high-efficiency load section.

[0035] The water pump system in the embodiment of the present invention adopts a T-level pump frequency conversion design, which is changed from the original parallel mode to a T-level frequency conversion design of the primary pump and the secondary pump, so as to minimize the energy consumption per unit of cooling capacity.

[0036] Traditional water pump design adopts the strategy of connecting multiple water pumps of the same model in parallel when the flow rate is large, which causes the actual flow rate of some water pumps to be far less than the ideal flow rate, resulting in serious flow loss. The T-class pump variable frequency design completely avoids the situation where more than two pumps are running in parallel at the same time, realizes the efficient operation of the water pump, and can reduce the energy consumption of the water pump under dynamic load.

[0037] In an embodiment of the present invention, the system further includes: an integrated energy management module for collecting indoor temperature, outdoor temperature and energy station data, and matching an energy supply strategy for the air-conditioning host based on an AI algorithm.

[0038] Figure 2 is a structural diagram of energy supply by an energy integrated management module provided according to the first embodiment of the present invention, such as Figure 2 As shown, the comprehensive energy management module is equipped with an AI intelligent algorithm, which controls the energy supply of the air-conditioning host by collecting indoor temperature, outdoor temperature and energy station data.

[0039] Control the energy supply of the air conditioner host, including: collecting the temperature changes in the indoor air conditioner working area and the outdoor temperature in real time through the temperature sensor, monitoring the real-time power of the air conditioner, and building a relationship model between temperature, time and power.

[0040] Traditional climate compensation uses a single parameter of outdoor temperature to reflect the climate conditions around the entire building, and achieves a one-to-one correspondence between the secondary water supply temperature and the outdoor temperature by setting a climate compensation curve.

[0041] The embodiment of the present invention utilizes technologies such as the Internet of Things and AI algorithms to introduce outdoor temperature and real-time indoor temperature into the control system, and combines the comprehensive data analysis of the original energy station to provide the optimal energy supply time and quality parameters, thereby overcoming the system inertia of transmitting water supply temperature to indoor temperature, maintaining user comfort while also reducing the energy consumption of the computer room.

[0042] Exemplarily, the AI ​​algorithm includes at least one of host adaptive control, predictive control, fuzzy logic control and neural network control.

[0043] The energy integrated management module of the embodiment of the present invention integrates energy-saving algorithms and artificial intelligence technology to achieve efficient optimization of energy management. The energy integrated management module adopts methods such as host adaptive control, predictive control, fuzzy logic control and neural network control to accurately adjust the operating status of the air-conditioning host to adapt to different environmental conditions. Energy efficiency analysis, predictive maintenance, automatic control, remote monitoring, fault diagnosis, intelligent alarm and energy efficiency optimization based on artificial intelligence technology. Using adaptive learning and data visualization technology, the system can continuously optimize the control strategy to ensure that energy-consuming equipment can operate efficiently under various working conditions, improve energy efficiency and reduce operating costs.

[0044] The comprehensive energy management module in the embodiment of the present invention realizes real-time monitoring, intelligent scheduling, predictive maintenance and optimization control of energy use by integrating cutting-edge technologies such as Internet of Things technology, AI energy-saving algorithms, edge computing and digital twins.

[0045] The regulating system in the embodiment of the present invention further includes: an alarm module, which is used to detect air-conditioning abnormalities and feed back to the intelligent management platform for alarm.

[0046] The alarm module includes: a water quality detection unit and a temperature difference detection unit.

[0047] The water quality detection unit is used to obtain the water quality data collected by the water quality stabilizer in the water pump system, and issue a water quality abnormality alarm when the water quality data exceeds the preset safety value.

[0048] Water quality data include: conductivity, hardness, pH value, alkalinity. Among them, water hardness is expressed by the content of calcium ions or magnesium ions contained in the water. Alkalinity is a parameter that indicates the ability of water to absorb protons, and is usually calibrated by the total amount of substances in the water that can quantitatively react with strong acids.

[0049] The temperature difference detection unit is used to obtain the temperature difference data of the heat exchanger and issue a temperature difference abnormality alarm when the temperature difference data exceeds the preset safety value. The heat exchanger is controlled by the IoT dynamic temperature difference regulating valve.

[0050] In the embodiment of the present invention, an IoT dynamic temperature difference regulating valve with a settable temperature difference threshold is installed at the end of the fan coil unit or the main pipe. In combination with temperature and humidity sensors, human body sensors, water demand, energy and other data, the best operation strategy is given through the calculation of the smart energy management system, and the host, water pump and other equipment are automatically adjusted to the best efficiency to achieve energy saving and consumption reduction. At the same time, for different scenarios, the system algorithm automatically adjusts the air volume and temperature of the area according to the temperature changes and the flow of people at the end, while ensuring comfort, to meet the energy saving based on comfortable temperature and humidity, and the energy consumption of each room can be calculated based on the energy consumption data of each end, thereby achieving refined management.

[0051] It will be appreciated by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, although the present invention has been described in detail with reference to the aforementioned embodiments. It will be appreciated by those skilled in the art that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. An air conditioning dynamic temperature difference AI adjustment system based on the Internet of Things, characterized in that: include: Control box, IoT control terminal and IoT temperature differential regulating valve; The control box has a built-in Bluetooth module, which allows users to modify air conditioning parameters through the APP near field and perform energy consumption statistics by time period; The IoT control terminal is used to preset air conditioning parameters, adjust the air volume, temperature and humidity of each area in real time according to the temperature and humidity of each area, the flow of people and the human body surface data, and calculate the energy demand of each area; The IoT temperature differential regulating valve is used to control the water flow of the water pump system according to energy demand; The water pump system provides power in the water circulation of the air conditioning system, driving the coolant or refrigerant to flow between various parts of the air conditioning system; The air conditioning parameters include: temperature, mode, wind speed, multi-stage timing scheduling, and automatic temperature rise and fall when someone is there or not.

2. The system according to claim 1, characterized in that Before the IoT control terminal adjusts the air volume, temperature and humidity of each area in real time, the temperature and humidity of each area are collected through temperature and humidity sensors, the flow of people in each area is collected through human body sensors, and the surface temperature of human bodies in each area is collected through infrared temperature measurement.

3. The system according to claim 1, characterized in that The water pump system adopts a primary pump and secondary pump structure, and the secondary pump adopts T-level frequency conversion; the primary pump and the secondary pump are independent of each other, the primary pump is directly connected to the air conditioner host, and is connected to the secondary pump through a cold storage buffer water tank.

4. The system according to claim 1, characterized in that The system also includes: an integrated energy management module, which is used to collect indoor temperature, outdoor temperature and energy station data, and control the energy supply of the air-conditioning host according to the AI ​​algorithm.

5. The system according to claim 4, characterized in that The energy supply of the air conditioner host is controlled, including: collecting temperature changes in the indoor air conditioner working area and outdoor temperature in real time through a temperature sensor, monitoring the real-time power of the air conditioner, and building a relationship model between temperature, time and power.

6. The system according to claim 4, characterized in that The AI ​​algorithm includes: at least one of host adaptive control, predictive control, fuzzy logic control and neural network control.

7. The system according to claim 1, characterized in that The system also includes: an alarm module, which is used to detect air-conditioning anomalies and feed back to the intelligent management platform for alarm.

8. The system according to claim 7, characterized in that The alarm module includes: a water quality detection unit and a temperature difference detection unit; The water quality detection unit is used to obtain the water quality data collected by the water quality stabilizer in the water pump system, and issue a water quality abnormality alarm when the water quality data exceeds a preset safety value. The water quality data includes: conductivity, hardness, pH value, and alkalinity; The temperature difference detection unit is used to obtain the temperature difference data of the heat exchanger and issue a temperature difference abnormality alarm when the temperature difference data exceeds a preset safety value; the heat exchanger is controlled by the Internet of Things dynamic temperature difference regulating valve.

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