Intelligentization-based comfortable air conditioner environment sensing management and control method

Abstract

The invention discloses a comfortable air conditioner environment sensing management and control method based on intellectualization. A sensor unit, a central controller unit, an air conditioner controlled unit and a user interface unit are included. The user interface unit provides a mode for a user to interact with the system, and the user can monitor the indoor temperature, set the temperature, select modes and the like in real time through equipment such as a smart phone, a tablet personal computer or a computer and perform remote control and timing setting on air conditioning equipment. The invention discloses a comfortable air conditioner environment sensing management and control method based on intellectualization, and aims to improve the operation efficiency of an air conditioner system and the comfort of a user. The system adjusts the operation parameters of the air conditioner in real time by sensing the indoor and outdoor environment, the user demand and the energy consumption condition, and intelligent, efficient and energy-saving air conditioner control is achieved. And the temperature is calculated more accurately through temperature detection at different positions of the room, and the wind direction of the wind plate is automatically changed through calculation, so that a user feels more comfortable.

Description

Technical Field

[0001] The present invention relates to the technical field of air-conditioning temperature control, and in particular to a method for controlling and managing a comfortable air-conditioning environment based on intelligent perception. Background Art

[0002] Air conditioning, or air conditioner, refers to the process of regulating and controlling the temperature, humidity, cleanliness, speed and other parameters of the ambient air in a building / structure by artificial means. It generally includes several parts such as cold source / heat source equipment, cold and hot medium distribution system, terminal device and other auxiliary equipment. It mainly includes water pumps, fans and piping systems. The terminal device is responsible for using the cold and hot heat distributed to specifically process the air so that the air parameters of the target environment meet the requirements. A sensor is a detection device that can sense the measured information and can convert the sensed information into electrical signals or other required forms of information output according to certain rules to meet the requirements of information transmission, processing, storage, display, recording and control. The characteristics of sensors include: miniaturization, digitization, intelligence, multi-function, systematization and networking. It is the primary link to achieve automatic detection and automatic control. However, the existing air conditioning adjustment system often uses single-point position detection to calculate temperature adjustment. The measured temperature is not very accurate for people in different positions in the room, and the human body in the house does not feel very comfortable. In view of the above problems, a comfortable air conditioning environment perception and control method based on intelligence is proposed. Summary of the invention

[0003] The purpose of the present invention is to overcome the above-mentioned existing deficiencies and provide an intelligent based comfortable air-conditioning environment perception and control method.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for controlling and managing a comfortable air-conditioning environment based on intelligence, comprising an intelligent control system located inside an air-conditioning device, wherein the intelligent control system comprises a sensor unit, a central controller unit, an air-conditioning controlled unit and a user interface unit;

[0005] The sensor unit senses environmental parameters in real time through temperature sensors, humidity sensors, and light sensors arranged indoors, and transmits data to the central control unit;

[0006] The central controller unit is the core component of the system and is responsible for receiving data from the sensor unit, processing the data and controlling the operating parameters of the air conditioning controlled unit;

[0007] The central controller unit can be connected to the cloud platform to achieve remote control and data monitoring;

[0008] The air-conditioning controlled unit is the controlled object, which receives control signals and adjusts parameters such as temperature and wind speed by connecting to the central controller unit;

[0009] The user interface unit provides a way for users to interact with the system. Users can monitor the indoor temperature, set the temperature, select the mode, etc. in real time through devices such as smartphones, tablets or computers, and remotely control and set the timing of the air-conditioning equipment.

[0010] Preferably, the method comprises the following steps:

[0011] S1, place the air conditioner in a corner of the room and select a suitable location to place the humidity sensor and light sensor;

[0012] S2, place the temperature sensor;

[0013] S3, the central controller unit calculates and adjusts specific parameters of the air-conditioning controlled unit through a control algorithm according to the returned data.

[0014] Preferably, the number of temperature sensors in step S2 is four, and the four temperature sensors are respectively placed at the bottom surface of the four corners of the room, the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D;

[0015] The temperature data detected by the four temperature sensors correspond to TA, TB, TC and TD respectively, and the result of the indoor average temperature is: T = (TA + TB + TC + TD) / 4.

[0016] Preferably, the number of temperature sensors in step S2 is eight, and the eight temperature sensors are divided into two groups and placed on the ceiling and bottom of the four corners of the room;

[0017] The specific positions of the four corners of the first group of roofs are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A1, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B1, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C1, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D1;

[0018] The specific positions of the four corners of the bottom surface of the second group are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A2, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B2, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C2, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D2;

[0019] The temperature data detected by the eight temperature sensors correspond to TA1, TA2, TB1, TB2, TC1, TC2, TD1 and TD2 respectively;

[0020] The average indoor temperature result is: T1 = (TA1 + TA2 + TB1 + TB2 + TC1 + TC2 + TD1 + TD2) / 8;

[0021] The result of the average indoor ceiling temperature is: T2 = (TA1 + TB1 + TC1 + TD1) / 4;

[0022] The average temperature of the indoor bottom surface is: T3 = (TA2 + TB2 + TC2 + TD2) / 4.

[0023] Preferably, the control algorithm in step S3 includes a PID control algorithm, a fuzzy logic control algorithm and a machine learning algorithm;

[0024] The PID control algorithm calculates the control signal based on the deviation between the current temperature and the set temperature to achieve closed-loop control of the temperature;

[0025] The fuzzy logic control algorithm performs fuzzy processing on environmental parameters such as temperature and humidity, calculates control signals according to fuzzy rules, and realizes adaptive air conditioning parameter adjustment;

[0026] The machine learning algorithm builds a model of the air conditioning system by learning from historical data, and predicts the optimal air conditioning operating parameters based on current environmental parameters, user needs and energy consumption.

[0027] Preferably, the central controller unit adjusts the wind plate upward or downward by comparing the values ​​of T2 and T3;

[0028] When the air conditioner is in the heating state, if T2 is less than T3, the wind shield of the air conditioner is shifted upward, and if T2 is greater than T3, the wind shield of the air conditioner is shifted downward;

[0029] When the air-conditioning device is in a cooling state, if T2 is less than T3, the wind shield of the air-conditioning device is offset downward, and if T2 is greater than T3, the wind shield of the air-conditioning device is offset upward.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] A method for intelligently sensing and controlling comfortable air-conditioning environments is designed to improve the operating efficiency of air-conditioning systems and user comfort. The system senses the indoor and outdoor environments, user needs, and energy consumption, and adjusts air-conditioning operating parameters in real time to achieve intelligent, efficient, and energy-saving air-conditioning control. The system also detects the temperature at different locations in the room to more accurately calculate the temperature, and automatically changes the wind direction of the wind plate through calculation to make users more comfortable. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.

[0033] The first embodiment of the present invention: a method for intelligently sensing and controlling a comfortable air-conditioning environment, comprising an intelligent control system located inside an air-conditioning device, wherein the intelligent control system comprises a sensor unit, a central controller unit, an air-conditioning controlled unit, and a user interface unit;

[0034] The sensor unit senses environmental parameters in real time through temperature sensors, humidity sensors, and light sensors arranged indoors, and transmits data to the central control unit;

[0035] The central controller unit is the core component of the system and is responsible for receiving data from the sensor unit, processing the data and controlling the operating parameters of the air conditioning controlled unit;

[0036] The central controller unit can be connected to the cloud platform to achieve remote control and data monitoring;

[0037] The air-conditioning controlled unit is the controlled object, which receives control signals and adjusts parameters such as temperature and wind speed by connecting to the central controller unit;

[0038] The user interface unit provides a way for users to interact with the system. Users can monitor the indoor temperature, set the temperature, select the mode, etc. in real time through devices such as smartphones, tablets or computers, and remotely control and set the timing of the air-conditioning equipment.

[0039] Preferably, the method comprises the following steps:

[0040] S1, place the air conditioner in a corner of the room and select a suitable location to place the humidity sensor and light sensor;

[0041] S2, place the temperature sensor;

[0042] S3, the central controller unit calculates and adjusts specific parameters of the air-conditioning controlled unit through a control algorithm according to the returned data.

[0043] Preferably, the number of temperature sensors in step S2 is four, and the four temperature sensors are respectively placed at the bottom surface of the four corners of the room, the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D;

[0044] The temperature data detected by the four temperature sensors correspond to TA, TB, TC and TD respectively, and the result of the indoor average temperature is: T = (TA + TB + TC + TD) / 4.

[0045] The second embodiment of the present invention is essentially different from the first embodiment in that:

[0046] The number of temperature sensors in step S2 is eight, and the eight temperature sensors are divided into two groups and placed on the ceiling and bottom of the four corners of the room;

[0047] The specific positions of the four corners of the first group of roofs are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A1, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B1, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C1, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D1;

[0048] The specific positions of the four corners of the bottom surface of the second group are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A2, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B2, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C2, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D2;

[0049] The temperature data detected by the eight temperature sensors correspond to TA1, TA2, TB1, TB2, TC1, TC2, TD1 and TD2 respectively;

[0050] The average indoor temperature result is: T1 = (TA1 + TA2 + TB1 + TB2 + TC1 + TC2 + TD1 + TD2) / 8;

[0051] The result of the average indoor ceiling temperature is: T2 = (TA1 + TB1 + TC1 + TD1) / 4;

[0052] The average temperature of the indoor bottom surface is: T3 = (TA2 + TB2 + TC2 + TD2) / 4.

[0053] Preferably, the central controller unit adjusts the wind plate upward or downward by comparing the values ​​of T2 and T3;

[0054] When the air conditioner is in the heating state, if T2 is less than T3, the wind shield of the air conditioner is shifted upward, and if T2 is greater than T3, the wind shield of the air conditioner is shifted downward;

[0055] When the air-conditioning device is in a cooling state, if T2 is less than T3, the wind shield of the air-conditioning device is offset downward, and if T2 is greater than T3, the wind shield of the air-conditioning device is offset upward.

[0056] Preferably, the control algorithm in step S3 includes a PID control algorithm, a fuzzy logic control algorithm and a machine learning algorithm;

[0057] The PID control algorithm calculates the control signal based on the deviation between the current temperature and the set temperature to achieve closed-loop control of the temperature;

[0058] The fuzzy logic control algorithm performs fuzzy processing on environmental parameters such as temperature and humidity, calculates control signals according to fuzzy rules, and realizes adaptive air conditioning parameter adjustment;

[0059] The machine learning algorithm builds a model of the air conditioning system by learning from historical data, and predicts the optimal air conditioning operating parameters based on current environmental parameters, user needs and energy consumption.

[0060] The system can adjust the operating parameters of the air-conditioning equipment according to the temperature range set by the user, achieve precise temperature control, and improve user comfort.

[0061] The system can reduce energy consumption by real-time monitoring of the energy consumption of air-conditioning equipment, analyzing energy consumption patterns, and optimizing them with machine learning algorithms.

[0062] The system can support users to schedule the start and stop of air-conditioning equipment. It can automatically start and stop the air-conditioning equipment according to the time and temperature requirements set by the user to provide a regular and comfortable environment.

[0063] The system can be connected to the cloud platform to enable users to remotely control and monitor the status of air-conditioning equipment. Users can remotely operate the air-conditioning equipment through mobile phones and other devices anytime and anywhere.

[0064] A method for intelligently sensing and controlling comfortable air-conditioning environments is designed to improve the operating efficiency of air-conditioning systems and user comfort. The system senses the indoor and outdoor environments, user needs, and energy consumption, and adjusts air-conditioning operating parameters in real time to achieve intelligent, efficient, and energy-saving air-conditioning control. The system also detects the temperature at different locations in the room to more accurately calculate the temperature, and automatically changes the wind direction of the wind plate through calculation to make users more comfortable.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for intelligently sensing and controlling a comfortable air-conditioning environment, comprising an intelligent control system located inside an air-conditioning device, characterized in that: The intelligent control system includes a sensor unit, a central controller unit, an air-conditioning controlled unit and a user interface unit; The sensor unit senses environmental parameters in real time through temperature sensors, humidity sensors, and light sensors arranged indoors, and transmits data to the central control unit; The central controller unit is the core component of the system and is responsible for receiving data from the sensor unit, processing the data and controlling the operating parameters of the air conditioning controlled unit; The central controller unit can be connected to the cloud platform to achieve remote control and data monitoring; The air-conditioning controlled unit is the controlled object, which receives control signals and adjusts parameters such as temperature and wind speed by connecting to the central controller unit; The user interface unit provides a way for users to interact with the system. Users can monitor the indoor temperature, set the temperature, select the mode, etc. in real time through devices such as smartphones, tablets or computers, and remotely control and set the timing of the air-conditioning equipment.

2. According to claim 1, a method for intelligently sensing and controlling a comfortable air-conditioning environment is characterized in that: The following steps are involved: S1, place the air conditioner in a corner of the room and select a suitable location to place the humidity sensor and light sensor; S2, place the temperature sensor; S3, the central controller unit calculates and adjusts specific parameters of the air-conditioning controlled unit through a control algorithm according to the returned data.

3. According to claim 2, a method for intelligently sensing and controlling a comfortable air-conditioning environment is characterized in that: The number of temperature sensors in step S2 is four, and the four temperature sensors are respectively placed at the bottom surfaces of the four corners of the room, the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D; The temperature data detected by the four temperature sensors correspond to TA, TB, TC and TD respectively, and the result of the indoor average temperature is: T = (TA + TB + TC + TD) / 4.

4. The method for controlling a comfortable air-conditioning environment based on intelligent perception according to claim 2 is characterized in that: The number of temperature sensors in step S2 is eight, and the eight temperature sensors are divided into two groups and placed on the ceiling and bottom of the four corners of the room; The specific positions of the four corners of the first group of roofs are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A1, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B1, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C1, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D1; The specific positions of the four corners of the bottom surface of the second group are: the temperature sensor located at the same corner as the air-conditioning device is temperature sensor A2, the temperature sensor located at the opposite corner of the air-conditioning device is temperature sensor B2, the temperature sensor located at the left corner of the air-conditioning device is temperature sensor C2, and the temperature sensor located at the right corner of the air-conditioning device is temperature sensor D2; The temperature data detected by the eight temperature sensors correspond to TA1, TA2, TB1, TB2, TC1, TC2, TD1 and TD2 respectively; The average indoor temperature result is: T1 = (TA1 + TA2 + TB1 + TB2 + TC1 + TC2 + TD1 + TD2) / 8; The result of the average indoor ceiling temperature is: T2 = (TA1 + TB1 + TC1 + TD1) / 4; The average temperature of the indoor bottom surface is: T3 = (TA2 + TB2 + TC2 + TD2) / 4.

5. The method for intelligently sensing and controlling a comfortable air-conditioning environment according to claim 2 is characterized in that: The control algorithm in step S3 includes a PID control algorithm, a fuzzy logic control algorithm and a machine learning algorithm; The PID control algorithm calculates the control signal based on the deviation between the current temperature and the set temperature to achieve closed-loop control of the temperature; The fuzzy logic control algorithm performs fuzzy processing on environmental parameters such as temperature and humidity, calculates control signals according to fuzzy rules, and realizes adaptive air conditioning parameter adjustment; The machine learning algorithm builds a model of the air conditioning system by learning from historical data, and predicts the optimal air conditioning operating parameters based on current environmental parameters, user needs and energy consumption.

6. The method for controlling a comfortable air-conditioning environment based on intelligent perception according to claim 4 is characterized in that: The central controller unit adjusts the wind plate upward or downward by comparing the values ​​of T2 and T3; When the air conditioner is in the heating state, if T2 is less than T3, the wind shield of the air conditioner is shifted upward, and if T2 is greater than T3, the wind shield of the air conditioner is shifted downward; When the air-conditioning device is in a cooling state, if T2 is less than T3, the wind shield of the air-conditioning device is offset downward, and if T2 is greater than T3, the wind shield of the air-conditioning device is offset upward.