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Air conditioner control method and system based on target room load prediction

A target room, load forecasting technology, applied in heating and ventilation control systems, control inputs involving air characteristics, space heating and ventilation control inputs, etc., can solve problems such as unpredictable, difficult, indoor personnel and material cooling dynamics, etc.

Active Publication Date: 2020-08-11
BESTECHNIC SHANGHAI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is very difficult to accurately predict, even calculate the room load in real time, because the structure of the room wall and the heat transfer process are extremely complex, and the solar radiation heat introduced from transparent structures such as windows is affected by the weather, while indoor The heat dissipation of personnel and materials is more dynamic and unpredictable

Method used

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  • Air conditioner control method and system based on target room load prediction
  • Air conditioner control method and system based on target room load prediction
  • Air conditioner control method and system based on target room load prediction

Examples

Experimental program
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Effect test

Embodiment 1

[0073] In this embodiment, a target room load prediction model based on a kNN (k-Nearest Neighbor, K-nearest neighbor) algorithm is used. In the first embodiment, the target room load prediction model is related to the start-up time of the air conditioner, and one start-up time corresponds to one target room load prediction model.

[0074] The advantage of this embodiment is that the amount of calculation required to establish and update the model is relatively small, which is conducive to the deployment of embedded systems with limited computing power in the air-conditioning system, and the solution does not require the cooperation of cloud servers, and the air-conditioning system can realize the establishment of the model locally and update.

[0075]In this embodiment, according to the indoor temperature of the target room before the air conditioner is turned on, an outdoor temperature, and the target temperature set by the user, the room load is predicted 3 hours and 10 hou...

Embodiment 2

[0094] In this embodiment, the outdoor temperature of a target room is collected. A linear model is used to predict the cooling capacity y output to the target room after the air conditioner works for 1 hour (that is, the predicted value of the target room load after 1 hour). In the embodiment, the target room load forecasting model is also related to the start-up time of the air conditioner, and one start-up time corresponds to one target room load forecasting model.

[0095] The advantage of this embodiment is that the amount of calculation required to establish and update the model is relatively small, which is conducive to the deployment of embedded systems with limited computing power in the air-conditioning system, and the solution does not require the cooperation of cloud servers, and the air-conditioning system can realize the establishment of the model locally and update.

[0096] Step 1. Collect the indoor temperature of the target room before the air conditioner is...

Embodiment 3

[0109] When using KNN and linear model to predict room load, only one target time can be fixed, for example, the start-up time described in Embodiments 1 and 2 is 1 / 3 / 10 hours.

[0110] In this embodiment, the target room load prediction model is established based on the fully connected neural network model, and the target time t tgt And environmental measurements are used as model input to increase the applicability of the model and the robustness to environmental changes.

[0111]The advantage of this embodiment is that the model is more adaptable to environmental changes. However, since the training and calculation of the neural network model need to consume more computing resources, and there are certain requirements for the numerical accuracy of the computing platform, unless the local deployment of the air conditioner has With a computing platform with strong computing power and high precision, the establishment and update of the neural network model usually requires the...

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Abstract

The invention provides an air conditioner control method and system based on target room load prediction. The air conditioner control method comprises the steps of 1, collecting the indoor temperatureof a target room and the outdoor temperature at a plurality of different positions of the target room before and after an air conditioner works, the starting time of the air conditioner, the workingtime of the air conditioner and the working state of the air conditioner during the corresponding working time, and establishing a target room load prediction model according to the collected data; 2,according to the indoor temperature and the outdoor temperature of the target room before the air conditioner works at the current moment, predicting through the target room load prediction model toobtain first instantaneous refrigerating / heating capacity of the air conditioner to the target room in the predicted working time in order to enable the indoor temperature of the target room to reachthe target temperature; and 3, according to the first instantaneous refrigerating / heating capacity to the target room, changing the total refrigerating / heating capacity provided by the air conditioner, and / or changing the refrigerating / heating capacity provided to the target room.

Description

technical field [0001] The invention relates to the field of automatic control of air conditioners, in particular to an air conditioner control method and system based on target room load prediction. Background technique [0002] A typical multi-connected air conditioning system structure is as follows: figure 1 shown. For the multi-connected air conditioning system, each room is equipped with a set of indoor units (including indoor fans and evaporators), and indoor units in multiple rooms share one / group of outdoor units (including compressors, condensers and outdoor fans). The flow of refrigerant is controlled through expansion valves between each set of indoor units and outdoor units, thereby controlling the cooling / heating capacity of the air conditioning system for each room. That is, the outdoor unit provides a total cooling / heating capacity, and the temperature of each room is controlled by controlling the opening of the expansion valve of each indoor unit. At the ...

Claims

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Application Information

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IPC IPC(8): F24F11/64F24F11/52F24F11/74F24F11/84F24F11/86F24F110/10F24F110/12
CPCF24F11/64F24F11/52F24F11/74F24F11/84F24F11/86F24F2110/10F24F2110/12
Inventor 陈凯卿川东江一波
Owner BESTECHNIC SHANGHAI CO LTD
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