CN116772361B - An AI-based air conditioning carbon reduction method and system - Google Patents

Abstract

The invention discloses an AI-based air conditioner carbon reduction method and system, comprising the following steps: step one, data comparison, wherein the intelligent control center compares air conditioner operation data with AI cloud data; step two, searching problems corresponding to the results by the intelligent control center in the AI cloud; step three, overhauling, namely overhauling the air conditioner by the intelligent control center through a result; step four, acquiring the temperature, wherein the intelligent control center acquires various temperature data required by instruction generation; step five, generating an instruction, wherein the intelligent control center processes temperature data and generates a corresponding instruction; and step six, executing the instruction, wherein the intelligent control center sends out a control instruction according to the generated corresponding instruction. The invention relates to an AI-based air conditioner carbon reduction method and system capable of controlling temperature in a specific activity area, improving the air conditioner temperature control efficiency, reducing the running load of an air conditioner and achieving the purposes of energy conservation and emission reduction.

Description

An AI-based air conditioning carbon reduction method and system

Technical Field

The present invention mainly relates to the technical field of AI intelligent control of air conditioners, and specifically to an AI-based air conditioner carbon reduction method and system.

Background technique

With the rapid growth of my country's economy, people's living standards have been greatly improved. In recent years, my country has ranked first in the world in terms of air conditioning production, sales and usage. If the use of air conditioning increases further in the future and the application scenarios expand further, the pace of urbanization in my country will continue to accelerate. In order to meet people's growing material and cultural needs, HVAC is becoming more and more common in cities. HVAC is a high-energy-consuming device that can effectively adjust the indoor temperature and improve living comfort. However, in its application process, it not only consumes a lot of energy, but also produces pollution emissions, causing serious damage to the environment, and making my country's energy more tense. In today's energy-scarce environment, the development of an energy-saving economy has become a top priority for my country's economic development. In order to reduce urban energy consumption and improve the quality of the ecological environment, it is necessary to apply energy-saving and emission reduction measures.

According to the application number CN202111108261.1, a large-scale central air-conditioning AI intelligent control method and system belong to the field of central air-conditioning AI intelligent control technology, and include the following steps: S1: the temperature detection terminal 1 collects the temperature of the surrounding environment, and the temperature signal is uploaded to the cloud module through the server; S2: the cloud module receives the temperature signal characteristics and feeds back the corresponding command to the control module; S3: the external temperature signal obtained by the external temperature module is also transmitted to the control module, the control module summarizes the indoor and outdoor temperatures, and the control module drives the central air-conditioning components to adjust the temperature. The large-scale central air-conditioning AI intelligent control method and system, by combining AI intelligent control with central air-conditioning, does not require human intervention, improves comfort while achieving energy conservation and emission reduction, and realizes the purpose of environmental protection.

However, the above system lacks temperature control in specific activity areas, which can improve the efficiency of air-conditioning temperature control, reduce the operating load of air-conditioning, and achieve the goal of energy saving and emission reduction.

Summary of the invention

Based on this, the purpose of the present invention is to provide an AI-based air conditioning carbon reduction system to solve the technical problems raised in the above background technology.

To achieve the above object, the present invention provides the following technical solution: an air conditioning carbon reduction method based on AI, characterized in that it comprises the following steps:

Step 1: data comparison, the intelligent control center compares the air conditioner operation data with the data in the AI cloud; Step 2: question retrieval, the intelligent control center searches the AI cloud for the corresponding question;

Step 3: maintenance processing, the intelligent control center performs maintenance processing on the air conditioner based on the results;

Step 4: temperature acquisition: the intelligent control center acquires various temperature data required for instruction generation;

Step 5: Instruction generation: the intelligent control center processes the temperature data and generates corresponding instructions;

Step 6: Execute the instruction. The intelligent control center issues a control instruction according to the generated corresponding instruction.

Furthermore, the instruction generates specific steps:

If the outside temperature value provided by the AI cloud is 5°C lower than the temperature set by the air conditioner, the processing result is to turn off the air conditioner;

If the temperature near the temperature-dividing device detected by the intelligent control center is lower than the temperature set by the air conditioner, the processing result is that the temperature-dividing device is in operation;

If the temperature near the temperature distribution device detected by the intelligent control center is higher than the temperature set by the air conditioner, the processing result is to turn off the temperature distribution device.

An AI-based air conditioning carbon reduction system includes an intelligent control center and an AI cloud connected to the intelligent control center via a network, wherein the intelligent control center includes a monitoring module, a calculation module, a sub-control module, a temperature acquisition module, a maintenance module, and a search module;

The air outlet of the air duct unit of the air conditioner is connected to the temperature separation device, the temperature acquisition module acquires and records the external temperature data, the temperature data set by the air conditioner, and the temperature data of the air outlet of the temperature separation device, the calculation module receives the temperature data transmitted by the temperature acquisition module, the sub-control module receives the instructions issued by the monitoring module, the monitoring module is connected to receive the processed data transmitted by the calculation module, and the maintenance module receives the maintenance instructions of the monitoring module.

Preferably, the temperature division device includes a temperature division pipe connected to the outlet of the air-conditioning duct unit, a compartment door arranged at one end of the temperature division pipe, an insulation box arranged on the outer wall of the temperature division pipe, and an air outlet box arranged on the temperature division pipe and away from the end where the compartment door is arranged.

Preferably, the air outlet box includes a cavity arranged inside the air outlet box, an air outlet arranged at the bottom of the cavity and penetrating through the bottom of the air outlet box, a swinging fan blade arranged at the air outlet, and a thermometer arranged on one side of the air outlet and located on the outer wall of the bottom of the air outlet box.

Preferably, the opening and closing of the warehouse door, the opening and closing of the swinging fan blades, and the air conditioner shutdown are all controlled by a PLC controller, and the sub-control module is connected to the PLC controller of the temperature division device by telecommunication.

Preferably, the search module obtains external temperature data by searching the AI cloud data. The search module can obtain various operating data of the air conditioner including temperature, humidity, pressure, power, etc. by searching the AI cloud data. The search module sends the retrieved data to the monitoring module.

Preferably, the monitoring module detects various operating data of the air conditioner during operation, compares the data with the data provided by the search module, and obtains a comparison result; the monitoring module feeds back the detection result to the search module.

Preferably, the search module searches the AI cloud according to the results fed back by the monitoring module to obtain the operating status of the air conditioner, and the search module sends the obtained operating status of the air conditioner to the maintenance module.

Preferably, the maintenance module receives the air conditioner operation status provided by the search module, performs self-maintenance according to the actual status or sends it to the maintenance terminal, and the maintenance terminal is connected to the computer

In summary, the present invention mainly has the following beneficial effects:

During the operation of the invention, the intelligent control center obtains records of various operating data of the running air conditioner and obtains knowledge base data from the AI cloud to compare the corresponding data, detects whether the various operating data of the running air conditioner are normal, and ensures that the running air conditioner is in the best operating state, thereby achieving the purpose of energy saving and emission reduction; during the operation of the air conditioner, in order to achieve energy saving and emission reduction and reduce the operating load of the air conditioner, each module in the intelligent control center monitors the operating environment of the air conditioner, obtains various operating data, and generates control instructions to control the temperature division device through calculation and comparison. The coordinated operation of the temperature division device optimizes the operating environment of the air conditioner, improves the working efficiency of the air conditioner, and reduces the workload of the running air conditioner, thereby achieving the purpose of energy saving and emission reduction.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a diagram showing the structure of an intelligent control center system of the present invention;

FIG2 is a structural framework diagram of the maintenance system of the present invention;

FIG3 is a structural framework diagram of a temperature control system of the present invention;

FIG4 is a step framework diagram of the present invention;

FIG5 is an axonometric view of the temperature separation device of the present invention;

FIG6 is an axonometric view of the insulated box of the present invention;

FIG7 is a cross-sectional view of the blower box of the present invention;

FIG. 8 is an axonometric view of the warehouse door structure of the present invention.

Description of the drawings: 10. Intelligent control center; 11. Monitoring module; 12. Calculation module; 13. Sub-control module; 14. Temperature acquisition module; 15. Maintenance module; 151. Maintenance terminal; 16. Search module; 20. Temperature distribution device; 21. Temperature distribution pipe; 22. Warehouse door; 23. Insulation box; 24. Air outlet box; 241. Cavity; 242. Air outlet; 243. Swinging fan blade; 244. Thermometer; 30. AI cloud.

Detailed ways

The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

Example

An AI-based air conditioning carbon reduction method includes the following steps:

Step 1: Data comparison, the intelligent control center 10 compares the air conditioner operation data with the data of the AI cloud 30;

Step 2: Question retrieval, the intelligent control center 10 searches the AI cloud 30 for questions corresponding to the results;

Step 3: Maintenance and treatment: the intelligent control center 10 performs maintenance and treatment on the air conditioner based on the results;

Step 4: temperature acquisition, the intelligent control center 10 acquires various temperature data required for command generation;

Step 5: Instruction generation, the intelligent control center 10 processes the temperature data and generates corresponding instructions;

Step 6: Execute the instruction. The intelligent control center 10 issues a control instruction according to the generated corresponding instruction.

As shown in Figs. 1, 3 and 5, an AI-based air conditioning carbon reduction system includes an intelligent control center 10 and an AI cloud 30 connected to the intelligent control center 10 via a network, wherein the intelligent control center 10 includes a monitoring module 11, a calculation module 12, a sub-control module 13, a temperature acquisition module 14, a maintenance module 15, and a search module 16; the temperature acquisition module 14 acquires and records the outside temperature data, the temperature data set by the air conditioner, and the temperature data of the air outlet of the temperature division device 20; the calculation module 12 receives the temperature data transmitted by the temperature acquisition module 14; the sub-control module 13 receives the instruction issued by the monitoring module 11, and the specific steps of instruction generation are as follows:

If the outside temperature value provided by the AI cloud 30 is 5°C lower than the temperature set by the air conditioner, the processing result is to turn off the air conditioner;

If the temperature near the temperature separation device 20 detected by the intelligent control center 10 is lower than the temperature set by the air conditioner, the processing result is that the temperature separation device 20 is in operation;

If the temperature near the temperature separation device 20 detected by the intelligent control center 10 is higher than the temperature set by the air conditioner, the processing result is to turn off the temperature separation device 20.

It should be noted that, in the present embodiment, the intelligent control center 10 includes a monitoring module 11 for acquiring and recording real-time outside temperature data, the temperature data set by the air conditioner, and the temperature data of the thermometer 244 at the air outlet of the temperature separation device 20 obtained from the AI cloud 30, and sending the real-time data to the calculation module 12. The calculation module 12 generates corresponding instructions by comparing the data, and sends the instruction information to the sub-control module 13; when the detected outside temperature value is 5°C lower than the temperature set by the air conditioner, an instruction to turn off the air conditioner is sent; when the temperature data of the thermometer 244 is lower than the temperature set by the air conditioner, an instruction to run the temperature separation device 20 is sent; when the temperature data of the thermometer 244 is higher than the temperature set by the air conditioner, an instruction to turn off the temperature separation device 20 is sent.

As shown in Figures 5, 6, 7 and 8, the air outlet of the air-conditioning duct unit is connected to the temperature division device 20. The temperature division device 20 includes a temperature division pipe 21 connected to the outlet of the air-conditioning duct unit, a compartment door 22 provided at one end of the temperature division pipe 21, an insulation box 23 sleeved on the outer wall of the temperature division pipe 21, and an air outlet box 24 provided at the temperature division pipe 21 and away from the end with the compartment door 22. The air outlet box 24 includes a cavity 241 provided inside the air outlet box 24, an air outlet 242 provided at the bottom of the cavity 241 and penetrating the bottom of the air outlet box 24, a swinging fan blade 243 provided at the air outlet 242, and a thermometer 244 provided on one side of the air outlet 242 and located on the outer wall of the bottom of the air outlet box 24. The opening and closing of the compartment door 22, the opening and closing of the swinging fan blade 243, and the air conditioner shutdown are all controlled by the PLC controller. The sub-control module 13 is connected to the PLC controller of the temperature division device 20 by telecommunications.

It should be noted that, in the present embodiment, the sub-control module 13 issues a control instruction to the PLC controller of the temperature separation device 20, the PLC controller controls the compartment door 22 to open, and the air blown out by the air conditioner is sent to the air outlet box 24 through the connected temperature separation pipe 21. The insulation box 23 mounted on the outer wall of the temperature separation pipe 21 can ensure that the energy loss in the process is reduced during the air supply process; the PLC controller controls the swinging blades 243 on the air outlet 242 to open and close, and sends the air conditioning air to the designated position to help the rapid cooling of the position. When the temperature at the designated position reaches the temperature value set by the air conditioner, the monitoring module 11 sends a signal to the sub-control module 13, the sub-control module 13 issues an instruction to the PLC controller, and the PLC controller controls the compartment door 22 to close.

As shown in Figures 1, 2, and 5, the monitoring module 11 is connected to receive the processed data transmitted by the calculation module 12, and the maintenance module 15 receives the maintenance instructions of the monitoring module 11. The monitoring module 11 detects various operating data of the air conditioner during operation, and compares them with the data provided by the search module 16 to obtain the comparison result; the monitoring module 11 feeds back the detection result to the search module 16, and the search module 16 searches the AI cloud 30 according to the result fed back by the monitoring module 11 to obtain the operating status of the air conditioner. The search module 16 sends the obtained operating status of the air conditioner to the maintenance module 15. The maintenance module 15 receives the operating status of the air conditioner provided by the search module 16, and performs self-maintenance according to the actual situation or sends it to the maintenance terminal 151, and the maintenance terminal 151 is connected to the computer.

It should be noted that, in the present embodiment, when the air conditioner is running, the monitoring module 11 saves and records various operating data of the air conditioner, including temperature, humidity, pressure, power, etc., and compares the real-time data obtained from the AI cloud 30 and the recorded air conditioner operation knowledge base data with the recorded data of the monitoring module 11 to determine the operating status of the air conditioner at this time, and send the operating status to the maintenance module 15. The maintenance module 15 searches the operating status in the AI cloud 30 to check whether there is any abnormality in the operation of the air conditioner. If the air conditioner is detected to have an abnormal operation, the found problem is searched in the AI cloud 30 for a corresponding solution, and the obtained solution is sent to the maintenance terminal 151. The maintenance personnel repair the air conditioner by checking the problem on the computer. AI replaces manual work, solves the problem of limited knowledge reserve of practitioners and personnel management problems, and can quickly obtain the problem of monitoring the air conditioner, which is convenient for prescribing the right medicine.

The working principle of the present invention is:

The temperature dividing device 20 in the present invention is triggered to work by a PLC controller, and the PLC controller model is "6ES7315-2EH14-0AB0"

When the system of the invention is in operation, the monitoring module 11 saves and records various operating data of the air conditioner during operation, including temperature, humidity, pressure, power, etc., and compares the real-time data obtained from the AI cloud 30 and the recorded air conditioner operation knowledge base data with the recorded data of the monitoring module 11 to determine the operating status of the air conditioner at this time, and sends this operating status to the maintenance module 15. The maintenance module 15 searches the operating status in the AI cloud 30 to check whether there is any abnormality in the air conditioner operation to ensure the best operating state of the air conditioner; then the intelligent control center 10 includes the monitoring module 11 to obtain and record the real-time external temperature data obtained from the AI cloud 30, the temperature data set by the air conditioner, and the temperature data of the thermometer 244 at the air outlet of the temperature separation device 20, and sends the real-time data to the calculation module 12. The calculation module 12 generates corresponding instructions by comparing and processing the data; when the detected external temperature value is 5°C lower than the temperature set by the air conditioner, a command to turn off the air conditioner is sent; when the temperature data of the thermometer 244 is lower than the temperature set by the air conditioner, a command to run the temperature separation device 20 is sent; and the instruction information is sent to The sub-control module 13 sends a control instruction to the PLC controller of the temperature dividing device 20. The PLC controller controls the door 22 to open, and the air blown out by the air conditioner is sent to the air outlet box 24 through the connected temperature dividing pipe 21. The heat preservation box 23 set on the outer wall of the temperature dividing pipe 21 can ensure that the energy loss in the process of air supply is reduced; the PLC controller controls the swinging blades 243 on the air outlet 242 to open and close, and send the air conditioning air to the designated position to help the rapid cooling of the position; when the temperature data of the thermometer 244 is lower than the temperature set by the air conditioner, the operation is sent. The temperature distribution device 20 is instructed; the monitoring module 11 sends a signal to the sub-control module 13, the sub-control module 13 issues an instruction to the PLC controller, and the PLC controller controls the compartment door 22 to close; if the air conditioner is detected to have abnormal operation, the found problem will be searched in the AI cloud 30 for the corresponding solution, and the obtained solution will be sent to the maintenance terminal 151, and the maintenance personnel will repair the air conditioner by checking the problem on the computer. AI replaces manual work, which solves the problems of limited knowledge reserves of practitioners and personnel management problems, and can quickly obtain the problem of monitoring the air conditioner, so as to prescribe the right medicine.

The above embodiments are only for illustrating the technical idea of the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the present invention.

Claims (7)

1. An air conditioning carbon reduction method based on AI, characterized by comprising the following steps: Step 1: Data comparison, the intelligent control center (10) compares the air conditioner operation data with the data in the AI cloud (30); Step 2: question retrieval, the intelligent control center (10) searches the AI cloud (30) for questions corresponding to the results; Step 3: maintenance processing, the intelligent control center (10) performs maintenance processing on the air conditioner based on the results; Step 4: temperature acquisition, the intelligent control center (10) acquires various temperature data required for command generation; Step 5: Instruction generation, the intelligent control center (10) processes the temperature data and generates corresponding instructions; Step 6: Execute the instruction, the intelligent control center (10) issues a control instruction according to the generated corresponding instruction; The specific steps of generating the instruction are as follows: If the outside temperature value provided by the AI cloud (30) is 5°C lower than the temperature set by the air conditioner, the processing result is to turn off the air conditioner; If the temperature near the temperature separation device (20) detected by the intelligent control center (10) is lower than the temperature set by the air conditioner, the processing result is that the temperature separation device (20) is in operation; If the temperature near the temperature separation device (20) detected by the intelligent control center (10) is higher than the temperature set by the air conditioner, the processing result is to close the temperature separation device (20), and connect the air outlet of the air duct unit of the air conditioner to the temperature separation device (20); The temperature separation device (20) comprises a temperature separation pipe (21) connected to the outlet of the air duct unit of the air conditioner, a door (22) arranged at one end of the temperature separation pipe (21), an insulation box (23) sleeved on the outer wall of the temperature separation pipe (21), and an air outlet box (24) arranged at the temperature separation pipe (21) and away from the end where the door (22) is arranged, the air outlet box (24) comprising a cavity (241) arranged inside the air outlet box (24), an air outlet (242) arranged at the bottom of the cavity (241) and penetrating the bottom of the air outlet box (24), a swinging fan blade (243) arranged at the air outlet (242), and a temperature measuring meter (244) arranged at one side of the air outlet (242) and located on the outer wall of the bottom of the air outlet box (24). 2. An AI-based air conditioning carbon reduction system, applied to the AI-based air conditioning carbon reduction method according to claim 1, comprising an intelligent control center (10), an AI cloud (30) connected to the intelligent control center (10) via a network, characterized in that the intelligent control center (10) comprises a monitoring module (11), a calculation module (12), a sub-control module (13), a temperature acquisition module (14), a maintenance module (15), and a search module (16); The temperature acquisition module (14) acquires and records external temperature data, temperature data set by the air conditioner, and temperature data of the air outlet of the temperature separation device (20); the calculation module (12) receives the temperature data transmitted by the temperature acquisition module (14); the sub-control module (13) receives instructions issued by the monitoring module (11); the monitoring module (11) is connected to receive processed data transmitted by the calculation module (12); and the maintenance module (15) receives maintenance instructions from the monitoring module (11). 3. The AI-based air conditioning carbon reduction system according to claim 2 is characterized in that the control of opening and closing of the compartment door (22), the control of opening and closing of the swinging fan blade (243), and the control of air conditioning shutdown are all controlled by a PLC controller, and the sub-control module (13) is connected to the PLC controller of the temperature division device (20) via telecommunication. 4. The AI-based air conditioning carbon reduction system according to claim 2 is characterized in that the search module (16) obtains the external temperature data by searching the AI cloud (30) data, and the search module (16) obtains various operating data of the air conditioner including temperature, humidity, pressure, and power by searching the AI cloud (30) data, and the search module (16) sends the retrieved data to the monitoring module (11). 5. The AI-based air conditioning carbon reduction system according to claim 2 is characterized in that the monitoring module (11) detects various operating data of the air conditioner during operation, compares the data with the data provided by the search module (16), and obtains a comparison result; the monitoring module (11) feeds back the detection result to the search module (16). 6. The AI-based air conditioning carbon reduction system according to claim 2 is characterized in that the search module (16) searches the AI cloud (30) according to the results fed back by the monitoring module (11) to obtain the operating status of the air conditioner, and the search module (16) sends the obtained operating status of the air conditioner to the maintenance module (15). 7. An AI-based air conditioning carbon reduction system according to claim 2, characterized in that the maintenance module (15) receives the air conditioning operating status provided by the search module (16), performs self-maintenance according to the actual status or sends it to the maintenance terminal (151), and the maintenance terminal (151) is connected to a computer.