CN104315652A - Air conditioning control system and method - Google Patents

Abstract

The invention discloses an air conditioner control system and method, belonging to the field of electric appliance control. The air-conditioning control system includes: one or more controllers for collecting environmental data and controlling the air-conditioning according to control instructions. The environmental data includes actual temperature and actual humidity. The controllers are independent of the air-conditioning settings, and each controller is used to control a Air conditioner; server, used to receive the environmental data sent by the controller, generate control instructions according to the environmental data and thermal comfort equation, and send the control instructions to the controller. The present invention collects environmental data through one or more controllers, and controls the air conditioner according to control instructions. The environmental data includes actual temperature and actual humidity. The server receives the environmental data sent by the controller, generates control instructions according to the environmental data and thermal comfort equation, and Sending control instructions to the controller can centrally control multiple air conditioners, avoiding restrictions on control objects and control ranges, and requires no user operation, providing a good experience.

Description

Air conditioning control system and method

technical field

The invention relates to the field of electric appliance control, in particular to an air conditioner control system and method.

Background technique

With the continuous progress and development of society, people's requirements for intelligent equipment are getting higher and higher. As a common equipment for people, the air conditioner is currently controlled by the user using the remote control matched with the air conditioner. The control object is single, the control range is limited, and the user experience is poor.

Contents of the invention

In order to solve the problems of single control object, limited control range and poor user experience in the prior art, embodiments of the present invention provide an air conditioner control system and method. Described technical scheme is as follows:

On the one hand, an embodiment of the present invention provides an air conditioning control system, the air conditioning control system comprising:

One or more controllers are used to collect environmental data and control the air conditioner according to control instructions, the environmental data includes actual temperature and actual humidity, the controllers are independent of the air conditioner settings, each of the controllers is used to control a said air conditioner;

The server is configured to receive the environmental data sent by the controller, generate the control instruction according to the environmental data and a thermal comfort equation, and send the control instruction to the controller.

In a possible implementation manner of the present invention, the server includes:

The first calculation module is used to calculate the thermal comfort equation by using the artificial immune algorithm to determine several sets of target temperatures and target humidity;

The second calculation module is used to combine the actual temperature and actual humidity to calculate the power consumption to reach the several groups of target temperatures and target humidity respectively;

The generating module is used to form the control instruction with a set of target temperature and target humidity with minimum power consumption.

Optionally, the first calculation module is used for,

Determine several groups of temperature and humidity to be calculated according to the set reference value and constraint conditions;

Substitute the several groups of temperature and humidity to be calculated into the following simplified thermal comfort equation to calculate the thermal sensation average voting index S _PMV :

S _PMV ＝(0.303*e ^-0.036*M +0.028)*{MW-3.05*10 ^-3 *[5733-6.99*(MW)-P _a ]-0.42*[(MW)-58.15]-1.7*10 ^-5 *M*(5867-P _a )-0.0014*M*(34-t _a )-3.96*10 ^-8 *f _cl [(t _cl +273) ⁴ -(t _r +273) ⁴ ]-f _cl *h _c *(t _cl -t _a )};

Among them, M is the metabolic rate of the human body, M=65, W is the mechanical work done by the human body, W=0, t _a is the air temperature, t _r is the average radiation temperature, t _cl is the outer surface temperature of the clothes, t _a =t _r = t _cl , P _a is the relative humidity, f _cl is the clothing area coefficient, h _c is the convective heat transfer coefficient, in summer, f _cl = 1.125, h _c = 12.1U _a ^1/2 ; in winter, f _cl = 1.25, h _c ＝12.1U _a ^1/2 , U _a is the air supply volume of the air conditioner, U _a ＝0.2m/s;

If the calculation result satisfies -0.5≤S _PMV≤0.5 , the temperature and humidity to be calculated are respectively determined as the target temperature and target humidity.

In another possible implementation manner of the present invention, the air conditioning control system further includes:

The wireless access node is configured to wake up at least one of the controllers from a dormant state; acquire environmental data collected by at least one of the controllers and send the environmental data to the server.

In yet another possible implementation manner of the present invention, the server is further configured to:

Receive multiple air conditioner operating time periods, target temperature and target humidity respectively set for multiple specific moments input by the user;

According to the air conditioner running time period, target temperature and target humidity, the air conditioner is controlled to be turned on and off.

On the other hand, an embodiment of the present invention provides an air conditioner control method, the air conditioner control method comprising:

The controller collects environmental data and sends it to the server, the environmental data includes actual temperature and actual humidity, the controllers are set independently of the air conditioners, and each of the controllers is used to control one air conditioner;

The server generates a control command according to the environmental data and thermal comfort equation and sends the control command to the controller;

The controller controls the air conditioner according to the control instruction.

In a possible implementation manner of the present invention, the server generates a control instruction according to the environmental data and a thermal comfort equation and sends the control instruction to the controller, including:

The artificial immune algorithm is used to calculate the thermal comfort equation, and determine several groups of target temperatures and target humidity;

Combining the actual temperature and actual humidity, calculate the power consumption to reach the several groups of target temperatures and target humidity respectively;

A set of target temperature and target humidity with minimum power consumption constitutes the control instruction.

Optionally, the server uses an artificial immune algorithm to calculate the thermal comfort equation to determine several sets of target temperature and target humidity, including:

Determine several groups of temperature and humidity to be calculated according to the set reference value and constraint conditions;

Substitute the several groups of temperature and humidity to be calculated into the following simplified thermal comfort equation to calculate the thermal sensation average voting index S _PMV :

S _PMV ＝(0.303*e ^-0.036*M +0.028)*{MW-3.05*10 ^-3 *[5733-6.99*(MW)-P _a ]-0.42*[(MW)-58.15]-1.7*10 ^-5 *M*(5867-P _a )-0.0014*M*(34-t _a )-3.96*10 ^-8 *f _cl [(t _cl +273) ⁴ -(t _r +273) ⁴ ]-f _cl *h _c *(t _cl -t _a )};

Among them, M is the metabolic rate of the human body, M=65, W is the mechanical work done by the human body, W=0, t _a is the air temperature, t _r is the average radiation temperature, t _cl is the outer surface temperature of the clothes, t _a =t _r = t _cl , P _a is the relative humidity, f _cl is the clothing area coefficient, h _c is the convective heat transfer coefficient, in summer, f _cl = 1.125, h _c = 12.1U _a ^1/2 ; in winter, f _cl = 1.25, h _c ＝12.1U _a ^1/2 , U _a is the air supply volume of the air conditioner, U _a ＝0.2m/s;

If the calculation result satisfies -0.5≤S _PMV≤0.5 , the temperature and humidity to be calculated are respectively determined as the target temperature and target humidity.

In another possible implementation of the present invention, the controller collects environmental data and sends it to the server, including:

The wireless access node wakes at least one of said controllers from a sleep state;

The wireless access node acquires at least one environment data collected by the controller and sends the environment data to the server.

In yet another possible implementation manner of the present invention, the air conditioner control method further includes:

The server receives a plurality of air-conditioning operation time periods, target temperature and target humidity respectively set for a plurality of specific moments input by the user;

The server controls the air conditioner to be turned on and off according to the air conditioner operating time period, target temperature and target humidity.

The beneficial effects brought by the technical solution provided by the embodiments of the present invention are:

Collect environmental data through one or more controllers, and control the air conditioner according to control instructions. The environmental data includes actual temperature and actual humidity. The server receives the environmental data sent by the controller, generates control instructions according to the environmental data and thermal comfort equation, and sends the control The instruction is sent to the controller, which can centrally control multiple air conditioners, avoiding the limitation of the control object and control range, and does not require user operation, and the user experience is good. In addition, the controller is independent of the air conditioner settings. Each controller controls an air conditioner, which can not only know the environment around the air conditioner and control it accordingly, but also does not need to modify the air conditioner. The installation is flexible and convenient, and there is no limitation on the installation location.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

FIG. 1 is a schematic structural diagram of an air-conditioning control system provided in Embodiment 1 of the present invention;

FIG. 2 is a schematic structural diagram of a controller provided in Embodiment 1 of the present invention;

Fig. 3 is a circuit diagram of an infrared transmitter provided by Embodiment 1 of the present invention;

Fig. 4 is a flowchart interaction diagram of an air conditioner control method provided in Embodiment 2 of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

Embodiment one

An embodiment of the present invention provides an air-conditioning control system, as shown in FIG. 1 , the air-conditioning control system includes:

One or more controllers 1 are used to collect environmental data and control the air conditioner 2 according to control instructions. The environmental data includes actual temperature and actual humidity. The controller 1 is set independently of the air conditioner 2. Each controller 1 is used to control an air conditioner 2;

The server 3 is used to receive the environmental data sent by the controller 1 , generate control instructions according to the environmental data and the thermal comfort equation, and send the control instructions to the controller 1 .

In practical application, the air conditioning control system is mainly used in hotels, business hotels, office buildings, dormitory buildings, equipment rooms and other places where split air conditioners are widely used.

The number of controllers 1 is the same as the number of air conditioners 2. When the air conditioning control system is applied to the place where the above-mentioned split air conditioners are widely used, the number of controllers 1 is the same as the number of air conditioners 2 in the place. Each air conditioner 2 has a corresponding number of controllers 1.

The distance between the controller 1 and the air conditioner 2 is generally less than a set length (such as 5m (meters)), so that the environmental information corresponding to the air conditioner 2 can be collected more realistically.

In an implementation of this embodiment, the server 3 may include:

The first calculation module is used to calculate the thermal comfort equation by using the artificial immune algorithm to determine several sets of target temperatures and target humidity;

The second calculation module is used to calculate the power consumption for reaching several groups of target temperatures and target humidity in combination with actual temperature and actual humidity;

The generation module is used to form a group of target temperature and target humidity with minimum power consumption into a control instruction.

Optionally, the first calculation module can be used for,

Determine several groups of temperature and humidity to be calculated according to the set reference value and constraint conditions;

Substitute several groups of temperature and humidity to be calculated into the following simplified thermal comfort equation to calculate the thermal sensation average voting index S _PMV :

S _PMV ＝(0.303*e ^-0.036*M +0.028)*{MW-3.05*10 ^-3 *[5733-6.99*(MW)-P _a ]-0.42*[(MW)-58.15]-1.7*10 ^-5 *M*(5867-P _a )-0.0014*M*(34-t _a )-3.96*10 ^-8 *f _cl [(t _cl +273) ⁴ -(t _r +273) ⁴ ]-f _cl *h _c *(t _cl -t _a )};

Among them, M is the metabolic rate of the human body, M=65, W is the mechanical work done by the human body, W=0, t _a is the air temperature, t _r is the average radiation temperature, t _cl is the outer surface temperature of the clothes, t _a =t _r = t _cl , P _a is the relative humidity, f _cl is the clothing area coefficient, h _c is the convective heat transfer coefficient, in summer, f _cl = 1.125, h _c = 12.1U _a ^1/2 ; in winter, f _cl = 1.25, h _c ＝12.1U _a ^1/2 , U _a is the air supply volume of the air conditioner, U _a ＝0.2m/s;

If the calculation result satisfies -0.5≤S _PMV≤0.5 , the temperature and humidity to be calculated are respectively determined as the target temperature and target humidity.

Specifically, the group update adopts the crossover operator and the mutation operator of the genetic algorithm, and the group is updated according to the crossover probability pc=1.0 and the mutation probability pm=0.1. The thermal comfort recommended value range given by ISO7730 -0.5≤S _PMV ≤0.5 is used as the criterion for judging the optimal antibody solution in the solution process, and the memory set of the optimal antibody is established and retained. Set the termination evolution generation number to 100 generations.

In another implementation of this embodiment, the server 3 may also be used to:

Receive multiple air conditioner operating time periods, target temperature and target humidity respectively set for multiple specific moments input by the user;

According to the operating time period of the air conditioner, the target temperature and the target humidity, the air conditioner is controlled to be turned on and off.

In yet another implementation of this embodiment, the air conditioning control system may further include:

A wireless access node 4, configured to connect one or more controllers 1 to the network where the server 2 is located;

The gateway repeater 5 is used to ensure the communication between the wireless access node 4 and the server 2 .

Specifically, the controller 1 is wirelessly connected to the wireless access node 4 , and the wireless access node 4 is directly connected to the server 1 or connected to the server 1 through a gateway transponder 5 .

In practice, there may also be no gateway transponder 5 . The gateway transponder 5 mainly expands the signal range when there is a signal blind zone between the wireless access node 4 and the server 3, and connects the wireless access node 4 with the server 3 to ensure full coverage of signals within the entire control range, and the gateway transponder 5 Easy to install.

More specifically, a wireless connection based on the SimpliciT1 protocol is used between the controller 1 and the wireless access node 4 .

Optionally, the wireless access node 4 may be used for,

wake up at least one controller 1 from a sleep state;

Obtain the environmental data collected by at least one controller 1 and send the environmental data to the server 3;

Send the control instruction generated by the server 3 according to the environment data to the controller 1 .

In practical applications, the wireless access node 4 will continuously monitor whether there is a new controller 1 joining or whether there is a new data packet to be forwarded. When a new controller 1 joins (the controller 1 initially accesses the wireless access node 4), the wireless access node 4 calls the interface initialization function to initialize the controller 1. If there is a new data packet forwarded to the server 3, the wireless access node 4 sends the data packet to the server 3 directly. When a new data packet is forwarded to the controller 1, the controller 1 is generally in a dormant state in order to save power, so the wireless access node 4 first wakes up the controller 1 from the dormant state, and then sends the data packet to the controller 1.

Specifically, after the controller 1 performs initialization, the controller 1 sends a network joining token (join token) to the wireless access node 4. After receiving the join token, the wireless access node 4 sends a connection token (Link token) to the controller 1. After receiving the Link token, the controller 1 calls the SMPL_Link function to send a Link request to the wireless access node 4. After receiving the Link request, the wireless access node 4 sends a Link response to the controller 1 . After receiving the Link response, the controller 1 calls the SMPL_Send function to send the environment data to the wireless access node 4 . After receiving the environment data, the wireless access node 4 forwards the environment data to the server 3 . At the same time, at this time, the controller 1 can also receive the instruction sent by the server 3 forwarded by the wireless access node 4, collect the actual temperature and actual humidity, and send control instructions to the air conditioner 2, etc. After the controller 1 sends a control command to the air conditioner 2, it enters into a dormant state.

In a specific implementation, referring to FIG. 2, the controller 1 may include: a central processing unit 11, a temperature and humidity sensor 12, an infrared emitter 13, a wireless communication module 14, a memory 15, and a battery 16, and the central processing unit 11 communicates with the temperature and humidity sensor respectively. Humidity sensor 12, infrared emitter 13, wireless communication module 14, memory 15, battery 16 are electrically connected, infrared emitter 13 is connected with air conditioner 2 based on infrared, wireless communication module 14 is wirelessly connected with wireless access node 4.

Specifically, the central processing unit 11 may be a CC1110 chip, and the CC1110 chip is embedded with an enhanced 8051 core single-chip microcomputer. Enhanced 8051-core MCU embedded with 32KB (kilobytes) of in-system programmable flash memory (Flash Memory), 4KB of Static Random Access Memory (SRAM for short), 8-14 bits of 8-channel modulus (Analog Digital, referred to as A/D) converter, 1 16-bit timer and 3 8-bit timers, 2 Universal Asynchronous Receiver/Transmitter (UART for short)/Serial Peripheral Interface, SPI for short), real-time clock (Real-Time Clock, RTC for short) and 21 general-purpose input and output ports (abbreviation for input/output, I/O for short).

In addition, since the CC1110 chip includes the CC1110 radio frequency (Radio Frequency, RF) transceiver, the CC1110 RF transceiver works in the 433MHz (megahertz), 8683MHz, and 9153MHz frequency bands, with a communication distance of 120m and a maximum speed of 500KB/s (kilobytes). knots per second), which can meet the requirement that the controller 1 is mainly deployed in various places inside the office building and needs to have a certain penetration performance on the wall. Therefore, when the central processing unit 11 is a CC1110 chip, there is no need to additionally configure the wireless communication module 14.

Specifically, the temperature and humidity sensor 12 may be a DHT11, and the output terminal of the DHT11 is connected to the P1.1 port of the single-chip microcomputer. A total of 40 bits of actual temperature and actual humidity data collected by the temperature and humidity sensor 12 can be transmitted to the single-chip microcomputer at one time, and the data is verified by a check code, which effectively ensures the accuracy of data transmission.

In yet another implementation of this embodiment, the controller 1 can also be used to:

Receive the control signal sent by the remote control;

detecting the width ratio between the high level and the low level in the control signal;

Correspond the width ratio to the instruction content input by the user.

At this time, the controller 1 may further include: a control command input button 17 and an integrated infrared receiving head 18 , and the control command input button 17 and the integrated infrared receiving head 18 are respectively electrically connected to the central processing unit 11 .

In the specific implementation, since each air conditioner manufacturer does not have a unified standard for the coding method of the sending and receiving signals of the remote control, but they are all modulated on the 38KHz carrier wave for transmission, you can first access the air conditioner of a certain air conditioner manufacturer. Humans use the remote controller to send control signals and press the corresponding control command input button 17, then the single-chip microcomputer controls the integrated infrared receiving head 18 to receive and demodulate the control signal to obtain a binary code stream, and then the integrated infrared receiving head 18 converts the binary code stream Input the interrupt pin (INT) of the single-chip microcomputer, the single-chip microcomputer measures the width of the high level and low level of the binary code stream through the internal timer and counter to obtain the code, and corresponds the code to the command content corresponding to the control command input button 17, and learns The coding method used by the air conditioner manufacturer.

After learning the coding method adopted by the air conditioner manufacturer, the single-chip microcomputer can store this coding method in the memory 15, so as to facilitate the subsequent control of the air conditioner that adopts the coding method; this coding method can also be sent to the server through the wireless access node 4 3. The server 3 corresponds the encoding method with the information of the air conditioner manufacturer input by the user, so that other controllers 1 can subsequently control the air conditioner 2 using the encoding method.

Of course, in order to save the storage space of the memory 15, the memory 15 may only store the encoding mode input last time.

At the same time, in order to save costs, it is not necessary for each controller 1 to include a control command input button 17 and an integrated infrared receiver 18. It can only be configured for an air conditioner 2 whose server 3 does not know the encoding method to include a control command input button 17 and an integrated infrared receiver. The controller 1 of the receiving head 18 .

In practical applications, default target temperature and target humidity are also stored in the memory 15 . When the connection between the controller 1 and the wireless access node 4 and/or the wireless access node 4 and the server 3 is disconnected, the single-chip microcomputer can adopt the learned method according to the default target temperature and target humidity, as well as the actual temperature and actual humidity The encoding method obtained or obtained from the server 3 sends control instructions to the air conditioner 2 to adjust the temperature and/or humidity of the air conditioner 2, ensuring that the controller 1 can also automatically control the air conditioner 2 when the network fails.

In addition, the last received control instruction may also be stored in the memory 35. After the controller 1 wakes up from the dormant state, the controller 1 may read the last received control instruction from the memory 35. When the environmental data and the last When the control instruction received once is different, the last received control instruction may be sent to the air conditioner 2 again.

Specifically, the memory 15 may include an 8-bit latch 74HC573 and a W2425732K power-down memory. At the same time, in order to save storage space, multi-variable coexistence technology is adopted to store data in bytes according to the length. If the Boolean variable uses the bit mode, multiple Boolean variables are stored in one byte. In order to improve the access efficiency of data, the technology of periodic reading is adopted, and the way of reading once in each task cycle is adopted, and all bytes of data in the storage space are read out by using the Direct Memory Access (DMA) channel .

Specifically, the battery 16 may be a 5V (volt) rechargeable battery.

In this embodiment, referring to FIG. 3 , the infrared emitter 13 may include: a power supply VCC, a first resistor R1 , a transistor Q1 , a second resistor R2 , and an infrared emitting diode IRE. Among them, the power supply VCC, the first resistor R1, and the collector of the triode Q1 are connected in series in sequence, the base of the triode Q1, the second resistor R2, and the I/O port of the microcontroller (such as P2.6 port) are connected in series in sequence, and the transistor Q1 The emission set is connected with the positive electrode of the infrared emission tube IRE, and the negative electrode of the infrared emission tube IRE is grounded.

The power supply VCC outputs a 38KHz carrier wave to the collector of the transistor Q1, and the base of the transistor Q1 receives the control command (binary code stream) output by the microcontroller. When the control command is at a high level, the transistor Q1 is turned on, and the infrared emitting tube IRE sends out 38KHz infrared rays; when the control command is at a low level, the transistor Q1 is turned off, and the infrared emitting tube IRE does not send out 38KHz infrared rays.

Specifically, the triode Q1 can be 8550.

Preferably, in order to increase the emission power of the infrared emission tube IRE and increase the emission distance of the infrared emission tube IRE, the resistance value of the first resistor R1 is set at several ohms to tens of ohms (such as 4.7 ohms). Experiments have proved that when the resistance value of the first resistor R1 is set to hundreds of ohms or even thousands of ohms, the infrared emission tube IRE can work, but the emission distance is relatively short.

Optionally, the controller 1 may further include: a display screen 19 electrically connected to the central processing unit 11 .

Specifically, the display screen 19 can select a 128*32 graphic liquid crystal display module. The display screen 19 can be turned off at ordinary times to save electric energy.

Optionally, the controller 1 may also include: a button group 10, the buttons in the button group 10 are respectively electrically connected to the central processing unit 11, and the buttons in the button group 10 are in one-to-one correspondence with the buttons on the remote controller, which is convenient for manual adjustment. Air conditioning is controlled.

The embodiment of the present invention collects environmental data through one or more controllers, and controls the air conditioner according to control instructions. The environmental data includes actual temperature and actual humidity. The server receives the environmental data sent by the controllers, and generates control instructions according to the environmental data and the thermal comfort equation. , and send the control command to the controller, which can centrally control multiple air conditioners, avoiding the limitation of the control object and control range, and no user operation is required, and the user experience is good. In addition, the controller is independent of the air conditioner settings. Each controller controls an air conditioner, which can not only know the environment around the air conditioner and control it accordingly, but also does not need to modify the air conditioner. The installation is flexible and convenient, and there is no limitation on the installation location.

Embodiment two

An embodiment of the present invention provides an air conditioner control method, as shown in FIG. 4 , the air conditioner control method includes:

Step 201: The controller collects environmental data and sends it to the server.

In this embodiment, the environmental data includes actual temperature and actual humidity, the controllers are set independently from the air conditioners, and each controller is used to control one air conditioner.

In an implementation manner of this embodiment, this step 201 may include:

The wireless access node wakes up at least one controller from a sleep state;

The wireless access node obtains the environment data collected by at least one controller and sends the environment data to the server.

In practical applications, the wireless access node wakes up at least one controller from the sleep state according to the control instruction sent by the server to the at least one controller, and wakes up the at least one controller from the sleep state, or automatically every set time Wake up the controller.

Step 202: the server generates a control instruction according to the environmental data and the thermal comfort equation, and sends the control instruction to the controller.

In an implementation manner of this embodiment, step 202 may include:

Use the artificial immune algorithm to calculate the thermal comfort equation, and determine several groups of target temperature and target humidity;

Combining the actual temperature and actual humidity, calculate the power consumption to reach several groups of target temperature and target humidity respectively;

A set of target temperature and target humidity with minimum power consumption constitutes a control command.

Optionally, the server uses an artificial immune algorithm to calculate the thermal comfort equation to determine several sets of target temperature and target humidity, which may include:

Determine several groups of temperature and humidity to be calculated according to the set reference value and constraint conditions;

Substitute several groups of temperature and humidity to be calculated into the following simplified thermal comfort equation to calculate the thermal sensation average voting index S _PMV :

S _PMV ＝(0.303*e ^-0.036*M +0.028)*{MW-3.05*10 ^-3 *[5733-6.99*(MW)-P _a ]-0.42*[(MW)-58.15]-1.7*10 ^-5 *M*(5867-P _a )-0.0014*M*(34-t _a )-3.96*10 ^-8 *f _cl [(t _cl +273) ⁴ -(t _r +273) ⁴ ]-f _cl *h _c *(t _cl -t _a )};

Among them, M is the metabolic rate of the human body, M=65, W is the mechanical work done by the human body, W=0, t _a is the air temperature, t _r is the average radiation temperature, t _cl is the outer surface temperature of the clothes, t _a =t _r = t _cl , P _a is the relative humidity, f _cl is the clothing area coefficient, h _c is the convective heat transfer coefficient, in summer, f _cl = 1.125, h _c = 12.1U _a ^1/2 ; in winter, f _cl = 1.25, h _c ＝12.1U _a ^1/2 , U _a is the air supply volume of the air conditioner, U _a ＝0.2m/s;

If the calculation result satisfies -0.5≤S _PMV≤0.5 , the temperature and humidity to be calculated are respectively determined as the target temperature and target humidity.

Specifically, the group update adopts the crossover operator and the mutation operator of the genetic algorithm, and the group is updated according to the crossover probability pc=1.0 and the mutation probability pm=0.1. The thermal comfort recommended value range given by ISO7730 -0.5≤S _PMV ≤0.5 is used as the criterion for judging the optimal antibody solution in the solution process, and the memory set of the optimal antibody is established and retained. Set the termination evolution generation number to 100 generations.

In a specific implementation, the server uses an artificial immune algorithm to calculate several groups of target temperature and target humidity, which can be calculated using a thermal comfort equation. The thermal comfort equation is as follows:

S _PMV ＝(0.303*e ^-0.036*M +0.028)*{MW-3.05*10 ^-3 *[5733-6.99*(MW)-P _a ]-0.42*[(MW)-58.15]-1.7*10 ^-5 *M*(5867-P _a )-0.0014*M*(34-t _a )-3.96*10 ^-8 *f _cl [(t _cl +273) ⁴ -(t _r +273) ⁴ ]-f _cl *h _c *(t _cl -t _a )};

Among them, S _PMV is the average voting index of thermal sensation, M is the metabolic rate of the human body, W is the mechanical work done by the human body, t _a is the air temperature, t _r is the average radiation temperature, P _a is the relative humidity, and f _cl is the clothing area coefficient, t _cl is the outer surface temperature of the clothes, and h _c is the convective heat transfer coefficient.

Since the thermal comfort equation contains many factors, the thermal comfort equation is simplified in order to reduce the amount of calculation, improve the processing efficiency, and facilitate the implementation of control. Since the air conditioner is generally placed indoors and the personnel also work indoors, M=65, W=0, t _a =t _r =t _cl . In summer, f _cl = 1.125, h _c = 12.1U _a ^1/2 ; in winter, f _cl = 1.25, h _c = 12.1U _a ^1/2 , U _a is the air supply volume of the air conditioner, which is constant in this embodiment value (eg 0.2m/s). Therefore, the simplified thermal comfort equation is only related to air temperature t _a and relative humidity P _a .

Since the relationship between S _PMV and people's feelings is satisfied as shown in Table 1 below:

Table I

S _PMV -3 -2 -1 0 +1 +2 +3 hot feeling cold cool slightly cooler comfortable slightly soft warm hot Dissatisfied percentage 100 75 25 5 25 75 100

Therefore, it is necessary to obtain the air temperature t _a and the relative humidity P _a that minimize the absolute value of S _PMV .

When using the artificial immune algorithm to calculate several groups of target temperature and target humidity, first set a series of targets close to the reference value within the constraint conditions according to the general reference value (such as t _a = 26°C, P _a = 50%) temperature and target humidity, and then substitute this series of target temperature and target humidity into the thermal comfort equation to calculate S _PMV , and keep the target temperature and target humidity satisfying -0.5≤S _PMV ≤0.5. Wherein, the constraints are: in summer, 20≤t _a ≤32, 30%≤P _a ≤90%; in winter, 20≤t _a ≤32, 5%≤P _a ≤65%.

Step 203: the controller controls the air conditioner according to the control instruction.

In a specific implementation, the data transmission between the controller and the server is forwarded through the wireless access node. During the data sending process, the data carries the address information of the controller and/or the wireless access node, so that the data can be sent accurately.

In yet another implementation manner of this embodiment, the air conditioner control method may further include:

The controller receives the control signal sent by the remote controller;

The controller detects the width ratio between the high level and the low level in the control signal;

The controller corresponds the width ratio to the instruction content input by the user.

In yet another implementation of this embodiment, the method may also include:

The server receives multiple air conditioner operating time periods, target temperature and target humidity respectively set for multiple specific moments input by the user;

The server controls the air conditioner to be turned on and off according to the air conditioner running time, target temperature and target humidity.

In this implementation manner, multi-period control of the air conditioner can be realized. For example, the air conditioner is turned on one hour before going to class or going to work, so that the air-conditioned room has reached the target temperature and target humidity when the user enters the air-conditioned room. Turn off the air-conditioner one hour before get out of class or get off work, so that the air-conditioned room has reached the same level as the normal situation when the user leaves the air-conditioned room. Especially for business hotels where a large number of split air conditioners are used, the use of multi-time control can improve the comfort experience of users and is also conducive to energy saving and emission reduction.

In yet another implementation of this embodiment, the method may also include:

The server obtains the running time of the air conditioner;

When the running time of the air conditioner reaches the set time, the server controls the air conditioner to turn off.

In this implementation manner, the user can be prompted to properly arrange working time, improve work efficiency, shorten the use time of the air conditioner, and save energy.

The embodiment of the present invention collects environmental data through one or more controllers, and controls the air conditioner according to control instructions. The environmental data includes actual temperature and actual humidity. The server receives the environmental data sent by the controllers, and generates control instructions according to the environmental data and the thermal comfort equation. , and send the control command to the controller, which can centrally control multiple air conditioners, avoiding the limitation of the control object and control range, and no user operation is required, and the user experience is good. In addition, the controller is independent of the air conditioner settings. Each controller controls an air conditioner, which can not only know the environment around the air conditioner and control it accordingly, but also does not need to modify the air conditioner. The installation is flexible and convenient, and there is no limitation on the installation location.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be completed by hardware, and can also be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, and the like.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within range.

Claims (10)

1. an air-conditioner control system, is characterized in that, described air-conditioner control system comprises:

One or more controller, for gathering environmental data, and control air-conditioning according to control instruction, described environmental data comprises actual temperature and actual humidity, and described controller is arranged independent of described air-conditioning, and each described controller is for controlling a described air-conditioning;

Server, for receiving the environmental data that described controller sends, generating described control instruction according to described environmental data and thermal comfort equation, and described control instruction is sent to described controller.

2. air-conditioner control system according to claim 1, is characterized in that, described server comprises:

First computing module, for adopting Artificial Immune Algorithm to calculate described thermal comfort equation, determines some groups of target temperatures and target humidity;

Second computing module, in conjunction with described actual temperature and actual humidity, calculates the power consumption reaching described some groups of target temperatures and target humidity respectively;

Generation module, for forming described control instruction by minimum for power consumption one group of target temperature and target humidity.

3. air-conditioner control system according to claim 2, is characterized in that, described first computing module is used for,

According to a reference value and the constraints of setting, determine some groups of temperature and humidities to be calculated;

Respectively described some groups of temperature and humidities to be calculated are substituted into the thermal comfort equation after following simplification, calculate hotness and on average to vote index S _pMV:

S _PMV＝(0.303*e ^-0.036*M+0.028)*{M-W-3.05*10 ^-3*[5733-6.99*(M-W)-P _a]-0.42*[(M-W)-58.15]-1.7*10 ^-5*M*(5867-P _a)-0.0014*M*(34-t _a)-3.96*10 ^-8*f _cl[(t _cl+273) ⁴-(t _r+273) ⁴]-f _cl*h _c*(t _cl-t _a)}；

Wherein, M leads for human metabolism, the mechanical power that M=65, W do for human body, W=0, t _afor air themperature, t _rfor mean radiant temperature, t _clfor clothes hull-skin temperature, t _a=t _r=t _cl, P _afor relative humidity, f _clfor clothes area coefficient, h _cfor convective heat-transfer coefficient, during summer, f _cl=1.125, h _c=12.1U _a ^1/2; During winter, f _cl=1.25, h _c=12.1U _a ^1/2, U _afor air-conditioning amount, U _a=0.2m/s;

If result of calculation meets-0.5≤S _pMV≤ 0.5, then temperature and humidity to be calculated is defined as target temperature and target humidity respectively.

4. the air-conditioner control system according to any one of claim 1-3, is characterized in that, described air-conditioner control system also comprises:

Radio access node, for waking up controller described at least one from resting state; Obtain the environmental data of controller collection described at least one and described environmental data is sent to described server.

5. the air-conditioner control system according to any one of claim 1-3, is characterized in that, described server also for,

Receive the multiple air-conditioner operation time sections, target temperature and the target humidity that arrange respectively for multiple particular moment of user's input;

According to described air-conditioner operation time section, target temperature and target humidity, control air-conditioning and open and close.

6. an air conditioning control method, is characterized in that, described air conditioning control method comprises:

Controller gathers environmental data and sends to server, and described environmental data comprises actual temperature and actual humidity, and described controller is arranged independent of air-conditioning, and each described controller is for controlling a described air-conditioning;

Server generates control instruction according to described environmental data and thermal comfort equation and described control instruction is sent to described controller;

Described controller controls described air-conditioning according to described control instruction.

7. air conditioning control method according to claim 6, is characterized in that, described server generates control instruction according to described environmental data and thermal comfort equation and described control instruction is sent to controller, comprising:

Adopt Artificial Immune Algorithm to calculate described thermal comfort equation, determine some groups of target temperatures and target humidity;

In conjunction with described actual temperature and actual humidity, calculate the power consumption reaching described some groups of target temperatures and target humidity respectively;

Minimum for power consumption one group of target temperature and target humidity are formed described control instruction.

8. air conditioning control method according to claim 7, is characterized in that, described server adopts Artificial Immune Algorithm to calculate described thermal comfort equation, determines some groups of target temperatures and target humidity, comprising:

According to a reference value and the constraints of setting, determine some groups of temperature and humidities to be calculated;

Respectively described some groups of temperature and humidities to be calculated are substituted into the thermal comfort equation after following simplification, calculate hotness and on average to vote index S _pMV:

S _PMV＝(0.303*e ^-0.036*M+0.028)*{M-W-3.05*10 ^-3*[5733-6.99*(M-W)-P _a]-0.42*[(M-W)-58.15]-1.7*10 ^-5*M*(5867-P _a)-0.0014*M*(34-t _a)-3.96*10 ^-8*f _cl[(t _cl+273) ⁴-(t _r+273) ⁴]-f _cl*h _c*(t _cl-t _a)}；

Wherein, M leads for human metabolism, the mechanical power that M=65, W do for human body, W=0, t _afor air themperature, t _rfor mean radiant temperature, t _clfor clothes hull-skin temperature, t _a=t _r=t _cl, P _afor relative humidity, f _clfor clothes area coefficient, h _cfor convective heat-transfer coefficient, during summer, f _cl=1.125, h _c=12.1U _a ^1/2; During winter, f _cl=1.25, h _c=12.1U _a ^1/2, U _afor air-conditioning amount, U _a=0.2m/s;

If result of calculation meets-0.5≤S _pMV≤ 0.5, then temperature and humidity to be calculated is defined as target temperature and target humidity respectively.

9. the air conditioning control method according to any one of claim 6-8, is characterized in that, described controller gathers environmental data and sends to server, comprising:

Controller described at least one wakes up from resting state by radio access node;

Radio access node obtains the environmental data of controller collection described at least one and described environmental data is sent to described server.

10. the air conditioning control method according to any one of claim 6-8, is characterized in that, described air conditioning control method also comprises:

The multiple air-conditioner operation time sections, target temperature and the target humidity that arrange respectively for multiple particular moment of the input of described server receives user;

Described server, according to described air-conditioner operation time section, target temperature and target humidity, controls air-conditioning and opens and closes.