A unit-level heating regulation method and system based on artificial intelligence
A technology of artificial intelligence and adjustment methods, applied to controllers with specific characteristics, electric controllers, etc., can solve problems such as inability to adjust flow in a timely and reasonable manner, indoor average temperature difference, etc., and achieve the effect of scientific and reasonable dynamic adjustment capabilities
Active Publication Date: 2021-02-26
RUINA INTELLIGENT EQUIP CO LTD
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] In order to solve the existing technology, the heat supply adjustment relies on manual experience and the adjustment experience of the on-site staff, which easily leads to large differences in the indoor average temperature of each unit building, and cannot adjust the flow in a timely and reasonable manner; it is necessary to provide a scientific and reasonable A unit-level heating regulation method with dynamic regulation capability
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0053] A preferred embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0054] Such as figure 1 The shown artificial intelligence-based unit-level heating regulation method includes the following steps:
[0055] S1. Collect raw data in combination with actual heat supply, and preprocess the raw data;
[0056] S2. Carry out model training through the artificial intelligence algorithm, and obtain the flow prediction model of each unit building and the heat supply prediction model of the unit;
[0057] S3. Collect real-time operation data and combine the model to predict the required flow rate of each unit building and the heat supply of the unit;
[0058] S4. Adjust the valve opening of the unit building and the temperature supply of the unit to realize the heat supply regulation of each unit building.
[0059] Specifically, the original data includes secondary temperature supply, secondary return temperature, se...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a unit-level heat supply adjusting method and system based on artificial intelligence, and the method comprises the steps: collecting original data through combining with actualheat supply, and carrying out the preprocessing of the original data; performing model training through an artificial intelligence algorithm to obtain a flow prediction model of each apartment and aunit temperature supply prediction model; then, collecting and combining real-time operation data with the model to predict the flow needed by each unit building and the unit temperature supply; and finally, adjusting the valve opening degree of the apartment and the unit temperature supply to achieve heat supply adjustment of all the apartments. According to the invention, the artificial intelligence algorithm model is applied to unit-level heat supply adjustment; the prediction model of the flow and unit temperature supply of each unit building is obtained through model training, the flow and the supply temperature required for each unit building to reach the target indoor uniform temperature are predicted in advance, and more scientific and reasonable dynamic adjustment capacity is provided for the heat supply unit in combination with real-time adjustment of operation data of the heat supply unit.
Description
technical field [0001] The invention relates to the technical fields of heating and artificial intelligence, in particular to a method and system for adjusting unit-level heating based on artificial intelligence. Background technique [0002] In view of the fact that the current room temperature collection is not common enough in the heating industry, the heating industry has introduced a typical room temperature collection method. Each unit building is equipped with a typical room temperature collection point, and the collected typical room temperature is preprocessed to calculate the indoor temperature of the unit building. average temperature. Through the observation of the average indoor temperature of the unit, the heating situation of each unit building can be observed. For example, when the average indoor temperature is low, the heat supply can be increased to improve the thermal comfort of the residents. [0003] However, in the specific heat supply, professionals a...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 王燕于大永刘建辉金城何红伟闫道伟刘文庆李红粉李陈
Owner RUINA INTELLIGENT EQUIP CO LTD