CN-121993873-A - Intelligent energy-saving control method, equipment and medium for air conditioner based on Internet of things

CN121993873ACN 121993873 ACN121993873 ACN 121993873ACN-121993873-A

Abstract

The invention relates to the technical field of intelligent regulation, in particular to an intelligent energy-saving control method, equipment and medium for an air conditioner based on the Internet of things. The method comprises the steps of arranging Internet of things equipment comprising an MEMS wind speed and direction sensing chip and a temperature sensor at an air outlet of an air conditioner, controlling the air conditioner to sweep wind and collect data, screening a target wind outlet direction with high wind speed and minimum included angle with an initial direction opposite to the direction, synchronously collecting indoor and outdoor temperature and wind speed data by adopting a multi-stage temperature excitation strategy with slow earlier stage and fast later stage, constructing a multi-dimensional feature vector to identify the type, energy efficiency grade and number of the air conditioner, and matching an energy-saving control strategy. The method accurately extracts the effective wind speed direction, eliminates the influence of placement deviation, excites the steady state transient state differential characteristics of the air conditioner, has better identification accuracy than the traditional method, and realizes intelligent energy-saving control.

Inventors

LIANG XUEWEI
Lou Yinhao

Assignees

河南智纳电力科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260126

Claims (10)

1. An intelligent energy-saving control method of an air conditioner based on the Internet of things is characterized by comprising the following steps: S1, placing control equipment of the Internet of things, which is provided with an MEMS wind speed and direction sensing chip and a temperature sensor, in front of an air outlet of an air conditioner to be controlled, and enabling the control equipment to initially face the front of the air conditioner; s2, sending an infrared control instruction to the air conditioner to enable the air conditioner to enter a wind sweeping mode and continuously run for a preset time period; S3, acquiring time series data of wind speed and wind direction in the wind sweeping process through the MEMS wind speed and wind direction sensing chip, screening high wind speed sampling points with wind speed values at the front 15%, selecting sampling points with the smallest included angles between the wind direction and the opposite direction of the initial orientation of the equipment from the high wind speed sampling points, and taking the wind direction of the sampling points as a target wind outlet direction and the corresponding wind speed as the maximum effective wind speed; S4, controlling the air conditioner to stop sweeping air, and fixing the air outlet direction to be the target air outlet direction; s5, controlling the air conditioner to execute multi-stage temperature excitation according to a preset temperature regulation sequence, wherein the temperature regulation sequence comprises a pre-stage slow temperature regulation stage and a post-stage fast temperature regulation stage, gradually changing the set temperature at a first regulation rate in the pre-stage slow temperature regulation stage and keeping the set temperature for a long enough time at each set temperature to enable the indoor temperature to tend to be stable, switching the set temperature at a second regulation rate which is larger than the first regulation rate in the post-stage fast temperature regulation stage, and shortening the keeping time at each set temperature to excite transient response characteristics of the air conditioner; s6, synchronously acquiring indoor temperature change data and wind speed change data at each temperature setting stage, acquiring outdoor temperature data, and constructing a multidimensional feature vector containing steady-state temperature fluctuation features, transient temperature response features, wind speed and set temperature linkage features and environment correction features based on the data; s7, identifying the type, the energy efficiency level and the number of the estimated values of the air conditioner according to the multidimensional feature vector; and S8, matching a corresponding intelligent energy-saving control strategy according to the identification result, and carrying out subsequent control on the air conditioner based on the strategy.
2. The intelligent energy-saving control method for the air conditioner based on the Internet of things according to claim 1, wherein S7 is characterized in that the identifying the type, the energy efficiency level and the number of matches estimated value of the air conditioner according to the multidimensional feature vector comprises the following steps: The multidimensional feature vector is matched with a preset standard feature library, and the standard feature library is constructed based on actual measurement response data of an old air conditioner of a known model under the same excitation condition; and identifying the type, the energy efficiency level and the matching number estimated value of the air conditioner according to the matching result.
3. The intelligent energy-saving control method for the air conditioner based on the Internet of things according to claim 1, wherein S7 is characterized in that the identifying the type, the energy efficiency level and the number of matches estimated value of the air conditioner according to the multidimensional feature vector comprises the following steps: Inputting the multi-dimensional feature vector into a pre-trained AI classification model, wherein the AI classification model is a random forest model, a support vector machine or a lightweight neural network; And identifying the type, the energy efficiency level and the number of the estimated values of the air conditioner according to the classification result.
4. The intelligent energy-saving control method of the air conditioner based on the Internet of things according to claim 1, wherein the MEMS wind speed and direction sensing chip is a thermal sensing array without moving parts and is integrated in the control equipment of the Internet of things.
5. The intelligent energy-saving control method for the air conditioner based on the internet of things according to claim 1, wherein in the step S2, the preset duration is 1 to 5 minutes, so as to ensure that at least one complete wind sweeping cycle is completed.
6. The intelligent energy-saving control method of the air conditioner based on the Internet of things according to claim 1, wherein the air conditioner to be controlled is a fixed-frequency or variable-frequency air conditioner without a communication protocol interface.
7. The intelligent energy-saving control method of the air conditioner based on the Internet of things according to claim 1, wherein the switching interval of adjacent set temperature points in the early stage slow temperature adjusting stage is 25-35 minutes, and the method is used for acquiring fluctuation amplitude after temperature stabilization; And in the later rapid temperature adjustment stage, the switching interval of the adjacent set temperature points is 8-12 minutes, and the switching interval is used for collecting the response time of transition from the current room temperature to the new set temperature.
8. The intelligent energy-saving control method of the air conditioner based on the internet of things according to claim 1, wherein the multidimensional feature vector comprises at least three of the following: (1) Standard deviation or peak-to-peak value of indoor temperature at each set temperature point; (2) An average rate of change required for the temperature to change from the first set point to the second set point; (3) Whether the maximum effective wind speed is significantly changed at different set temperatures; (4) Ratio of indoor and outdoor temperature difference to unit time cooling amplitude.
9. A non-transitory computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements an intelligent energy-saving control method for an air conditioner based on the internet of things as claimed in any one of claims 1 to 8.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements an intelligent energy saving control method for an air conditioner based on the internet of things as claimed in any one of claims 1 to 8.

Description

Intelligent energy-saving control method, equipment and medium for air conditioner based on Internet of things Technical Field The invention relates to the technical field of intelligent regulation, in particular to an intelligent energy-saving control method, equipment and medium for an air conditioner based on the Internet of things. Background With the rapid development of the internet of things, intelligent home appliance systems have been widely used in home and business scenarios. The air conditioner control system based on the Internet of things is generally connected with air conditioning equipment through Wi-Fi, bluetooth or a special communication protocol, and the running state, model information and energy efficiency parameters of the air conditioner control system are obtained in real time, so that accurate energy-saving scheduling and comfort optimization are realized. However, a large number of installed old air conditioners (such as fixed frequency type, equipment without communication interface or only supporting infrared remote control) cannot be effectively integrated and managed by the existing internet of things platform due to lack of standard data interaction capability, so that the old air conditioners are in an inefficient operation state for a long time, and energy conservation and experience improvement brought by intellectualization are difficult to enjoy. In order to solve the above problems, the industry tries to infer the performance of the old air conditioner by using a non-invasive monitoring method, for example, a current sensor is used to collect the power consumption waveform of the whole air conditioner, and a start-stop period is combined to determine whether the air conditioner is a constant frequency machine, or the cooling capacity is roughly estimated by using the change trend of the room temperature. However, the method has the common problems of single identification dimension and poor robustness, namely, on one hand, the air conditioners with different brands, numbers or energy efficiency grades can have high overlapping on power consumption or temperature rise curves, and on the other hand, environmental factors (such as outdoor temperature fluctuation and room tightness difference) are easy to interfere with observed signals, so that the misjudgment rate is high, and the generation of a fine control strategy is difficult to support. In addition, the key physical dimension of wind field characteristics is generally ignored in the existing scheme, and the essential difference of the variable frequency air conditioner and the fixed frequency air conditioner in wind speed adjusting behaviors cannot be effectively distinguished. Therefore, a non-invasive intelligent air conditioner identification and control method suitable for the environment of the internet of things is needed, and the multi-dimensional performance parameters (including type, energy efficiency level and matching number estimated values) of the old air conditioner can be accurately extracted by combining external sensing and active excitation on the premise of not depending on equipment communication protocols, and accordingly, a personalized energy-saving control strategy is matched. The method has high environmental adaptability and strong characteristic discrimination, can be seamlessly integrated with the existing control terminal of the Internet of things, and can truly realize intelligent upgrading of the stock old air conditioner. Disclosure of Invention Aiming at one of the technical problems, the invention adopts the following technical scheme: according to one aspect of the invention, an intelligent energy-saving control method of an air conditioner based on the Internet of things is provided, and the method comprises the following steps: S1, placing the control equipment of the Internet of things with the MEMS wind speed and direction sensing chip and the temperature sensor in front of an air outlet of an air conditioner to be controlled, and enabling the control equipment to initially face the front of the air conditioner. S2, sending an infrared control instruction to the air conditioner to enable the air conditioner to enter a wind sweeping mode and continuously run for a preset time period. S3, acquiring time series data of wind speed and wind direction in the wind sweeping process through an MEMS wind speed and wind direction sensing chip, screening high wind speed sampling points with wind speed values at the front 15%, selecting sampling points with the smallest included angles between the wind direction and the opposite direction of the initial orientation of the equipment from the high wind speed sampling points, and taking the wind direction of the sampling points as a target wind outlet direction and the corresponding wind speed as the maximum effective wind speed. S4, controlling the air conditioner to stop sweeping air, and fixing the air outlet direction to be the target ai