A prediction-based intelligent heating control system and method

By adopting predictive intelligent heating control methods in the heating control system, generating prediction and real -time heating models, controlling the water temperature of the water supply circulation pipeline, solving the problem that the existing heating control system cannot achieve accurate and personalized heating adjustment. , Improve heating efficiency and personalization.

CN116293897BActive Publication Date: 2025-01-28YUANHUA YITONG HEAT SUPPLY SCI TECH DEV BEIJING
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Patent Information

Application Number
CN202310047423.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-01-31
Publication Date
2025-01-28
Estimated Expiration
2043-01-31

AI Technical Summary

Technical Problem

The existing heating control system cannot achieve accurate and personalized heating regulation, resulting in inefficient heating and waste.

Method used

Adopting a predictable intelligent heating control system, this system includes meteorological information collection, indoor temperature collection, temperature adaptation, predictive module and real -time data modules. By generating prediction heating models and real -time heating models Water temperature, realize intelligent adjustment.

Benefits of technology

It improved the personalization and efficiency of heating, avoided heating waste, and achieved more accurate and stable heating control.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention belongs to the technical field of heating control, and discloses a prediction-based intelligent heating control system and method. The system includes a meteorological information collection device; an indoor temperature collection device; a temperature adaptation device, including multiple option modules, each option module is matched with a temperature setting value; a prediction module, used to generate a prediction heating model; a real-time data module, used to generate a real-time heating model; a control module, which controls the water temperature of the water supply circulation pipeline according to the real-time heating model; a water supply circulation pipeline, wherein the water supply circulation pipeline is provided with an electric control valve; and an execution module, which controls the opening of the electric control valve through outdoor meteorological information. The system of the present invention can select a suitable heating mode according to needs, and has strong personalization.
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Description

Technical Field

[0001] The present invention relates to the technical field of heating control, and in particular to a prediction-based intelligent heating control system and method. Background Art

[0002] The description of the background technology in the present invention belongs to the related technology related to the present invention, which is only used to illustrate and facilitate the understanding of the invention content of the present invention, and should not be understood as the applicant explicitly believes or inferred that the applicant believes that it is the prior art of the present invention on the filing date of the first application.

[0003] At present, the data collection of the thermal industry system has covered heat sources, heat networks, heat stations and end users, and has achieved basic automated control. As the amount of data gradually increases, we will need to analyze and mine the data in the future, give full play to the advantages of digitalization, and achieve more accurate, stable and continuous energy conservation and emission reduction.

[0004] The existing control systems or methods can only perform extensive and uniform adjustments. Even if some of them have been intelligently controlled, they are still inaccurate and non-personalized. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a heating system and method with intelligent regulation function.

[0006] A heating system with intelligent regulation function, comprising:

[0007] A meteorological information collection device, used to obtain outdoor meteorological information;

[0008] An indoor temperature collection device, used to collect indoor temperature information;

[0009] A temperature adaptation device, including a plurality of option modules, each option module is matched with a temperature setting value;

[0010] A prediction module is used to generate a prediction heating model based on outdoor meteorological information, indoor data information and temperature setting values; the outdoor meteorological information includes outdoor temperature, weather and light intensity; the indoor data information includes heating type and indoor temperature; the prediction heating model is a curve for predicting the change of water supply temperature over time;

[0011] The real-time data module is used to generate a real-time heating model according to the predicted heating model, buffer time and correction data; the real-time heating model includes execution data; the predicted heating model is a curve of predicted water supply temperature change over time, and the real-time heating model is a curve of real-time water supply temperature change over time; the water supply temperature at time t is calculated by the following formula:

[0012]

[0013]

[0014]

[0015]

[0016] Among them, T 时 is the real-time water supply temperature, ℃;

[0017] T 预 To predict the water supply temperature, °C;

[0018] T 体感 is the perceived temperature, ℃;

[0019] T 室内 is the indoor temperature, °C;

[0020] T 室外 is the outdoor temperature, °C;

[0021] T 修正 is the corrected data, ℃;

[0022] T 基础 is the basic water temperature, ℃, when the radiator is heating, T 基础 =50℃, floor heating, T 基础 =70℃;

[0023] M = -1, 0, 1 and 2, where snow is 2, rain is 1, cloudy is 0, and sunny is -1; t is the measurement time, 0-24;

[0024] t0 is the time when the outdoor temperature is the highest during the day;

[0025] T 设定 To set the temperature;

[0026] The control module controls the water temperature of the water supply circulation pipeline according to the real-time heating model.

[0027] A water supply circulation pipeline, wherein the water supply circulation pipeline is provided with an electrically controlled valve;

[0028] The execution module controls the opening of the electric control valve according to outdoor meteorological information.

[0029] Furthermore, the water supply circulation pipeline includes a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are parallel in the room, the water temperature value range of the first water supply circulation pipe and the water temperature value range of the second water supply circulation pipe are continuous, and the water temperature value range of the first water supply circulation pipe and the water temperature value range of the second water supply circulation pipe are combined as the water supply temperature range; the first water supply circulation pipeline is provided with a first electrically controlled valve; the second water supply circulation pipeline is provided with a second electrically controlled valve;

[0030] The control module controls the water temperature of the water supply circulation pipeline according to the real-time heating model, so that the average value of the water temperature of the first water supply circulation pipe and the water temperature of the second water supply circulation pipe is the predicted water supply temperature.

[0031] A heating method with intelligent regulation function, comprising:

[0032] Generate a forecast heating model based on outdoor meteorological information, indoor data information and temperature setting value; the outdoor meteorological information includes outdoor temperature, weather and light intensity; the indoor data information includes heating type and indoor temperature;

[0033] A real-time heating model is generated based on the predicted heating model, buffer time and correction data; the predicted heating model is a curve of predicted water supply temperature change over time, and the real-time heating model is a curve of real-time water supply temperature change over time; the water supply temperature at time t is calculated by the following formula:

[0034]

[0035]

[0036]

[0037]

[0038] Among them, T 时 is the real-time water supply temperature, ℃;

[0039] T 预 To predict the water supply temperature, °C;

[0040] T 体感 is the perceived temperature, ℃;

[0041] T 室内 is the indoor temperature, °C;

[0042] T 室外 is the outdoor temperature, °C;

[0043] T 修正 is the corrected data, ℃;

[0044] T 基础 is the basic water temperature, ℃, when the radiator is heating, T 基础 =50℃, floor heating, T 基础 =70℃;

[0045] M = -1, 0, 1 and 2, where snow is 2, rain is 1, cloudy is 0, and sunny is -1; t is the measurement time, 0-24;

[0046] t0 is the time when the outdoor temperature is the highest during the day;

[0047] T 设定 To set the temperature;

[0048] The real-time heating model includes execution data, and the opening and flow rate of the electronically controlled valve are controlled according to the execution data.

[0049] Furthermore, the control of the electric control valve opening and the water supply flow rate according to the execution data specifically includes the following steps: the initial valve opening is 50%,

[0050] If -5<T 预 -T 基础 When the water flow rate is less than 5, adjust the opening of the electric control valve; if the adjustment range of the electric control valve is 40%-70%, adjust the opening of the electric control valve. If the opening of the electric control valve is closed to below 40%, reduce the water supply flow rate and reduce the opening of the electric control valve until the opening of the electric control valve is 30%; if the opening of the electric control valve increases to more than 70%, increase the water supply flow rate and increase the valve opening.

[0051] Furthermore, the opening of the electronically controlled valve and the water supply speed are adjusted according to the temperature difference between the supply water temperature and the return water temperature:

[0052] If the temperature difference between the supply water temperature and the return water temperature is greater than the preset upper limit, the opening of the electronically controlled valve is increased and the water supply flow rate is increased; if the temperature difference between the supply water temperature and the return water temperature is less than the preset lower limit, the valve opening is reduced and the water supply flow rate is reduced;

[0053] If the adjustment scheme of adjusting the opening of the electric control valve and the water supply speed according to the temperature difference between the supply water temperature and the return water temperature conflicts with the adjustment scheme of controlling the opening of the electric control valve and the water supply flow rate according to the execution data, the electric control valve opening and the water supply speed shall be adjusted according to the temperature difference between the supply water temperature and the return water temperature.

[0054] Furthermore, before the step of generating a real-time heating model according to the predicted heating model, the buffer time and the correction data, the predicted heating model is initially corrected:

[0055] Obtain outdoor meteorological information data for 15 days before and after the same date as the forecast heating model in previous years, select the heating model of previous years corresponding to the outdoor meteorological information data that is closest to the meteorological data of the forecast heating model on the day, and use the average value of the forecast heating model and the heating model of previous years as the preliminary revised forecast heating model.

[0056] Furthermore, when the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models with a higher temperature than the predicted water supply temperature are selected:

[0057]

[0058] Furthermore, when the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models lower than the predicted water supply temperature are selected:

[0059]

[0060] The embodiments of the present invention have the following beneficial effects:

[0061] The present invention adopts an adaptation device and multiple adaptation options, so that heating users can choose the adaptation settings they need, such as comfort type, warmth type, sleep type, etc.; it greatly improves the personalization of heating, not only ensures the heating effect, but also avoids heating waste.

[0062] The system is provided with two parallel water supply pipelines with different temperatures. When the outside temperature changes, the opening of the two valves can be adjusted as needed to achieve instantaneous changes in the water temperature in the water supply pipelines. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a structural schematic diagram of the prediction-based intelligent heating control method and system of the present invention. DETAILED DESCRIPTION

[0064] The present application is further described below in conjunction with embodiments.

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, in the following description, different "one embodiment" or "embodiment" does not necessarily refer to the same embodiment. Different embodiments can be replaced or combined, and for ordinary technicians in this field, other implementation methods can be obtained based on these embodiments without creative work.

[0066] Combination Figure 1, a heating system with intelligent regulation function, comprising:

[0067] Meteorological information collection device 3, used to obtain outdoor meteorological information;

[0068] Indoor temperature collection device 2, used to collect indoor temperature information;

[0069] The temperature adaptation device 6 includes a plurality of option modules, each of which is matched with a temperature setting value;

[0070] Prediction module 5, used to generate a prediction heating model based on outdoor meteorological information, indoor data information and temperature setting value; the outdoor meteorological information includes outdoor temperature, weather and light intensity; the indoor data information includes heating type and indoor temperature; the prediction heating model is a curve for predicting the change of water supply temperature over time;

[0071] The real-time data module 4 is used to generate a real-time heating model according to the predicted heating model, the buffer time and the correction data; the real-time heating model includes execution data; the predicted heating model is a curve of the change of the predicted water supply temperature over time, and the real-time heating model is a curve of the change of the real-time water supply temperature over time; the water supply temperature at time t is calculated by the following formula:

[0072]

[0073]

[0074]

[0075]

[0076] Among them, T 时 is the real-time water supply temperature, ℃;

[0077] T 预 To predict the water supply temperature, °C;

[0078] T 体感 is the perceived temperature, ℃;

[0079] T 室内 is the indoor temperature, °C;

[0080] T 室外 is the outdoor temperature, °C;

[0081] T 修正 is the corrected data, ℃;

[0082] T 基础 is the basic water temperature, ℃, when the radiator is heating, T 基础 =50℃, floor heating, T 基础=70℃;

[0083] M = -1, 0, 1 and 2, where snow is 2, rain is 1, cloudy is 0, and sunny is -1; t is the measurement time, 0-24;

[0084] t0 is the time when the outdoor temperature is the highest during the day;

[0085] T 设定 To set the temperature;

[0086] The control module 12 controls the water temperature of the water supply circulation pipeline according to the real-time heating model;

[0087] A water supply circulation pipeline, wherein the water supply circulation pipeline is provided with an electrically controlled valve;

[0088] The execution module 7 controls the opening of the electric control valve according to the outdoor meteorological information.

[0089] In some embodiments of the present invention, the water supply circulation pipeline includes a first water supply circulation pipeline 8 and a second water supply circulation pipeline 9, the first water supply circulation pipeline 8 and the second water supply circulation pipeline 9 are parallel indoors, the water temperature value range of the first water supply circulation pipe and the water temperature value range of the second water supply circulation pipe are continuous, and the water temperature value range of the first water supply circulation pipe and the water temperature value range of the second water supply circulation pipe are combined as the water supply temperature range; the first water supply circulation pipeline 8 is provided with a first electrically controlled valve 10; the second water supply circulation pipeline 9 is provided with a second electrically controlled valve 11;

[0090] The control module 12 controls the water temperature of the water supply circulation pipeline according to the real-time heating model, so that the average value of the water temperature of the first water supply circulation pipe and the water temperature of the second water supply circulation pipe is the predicted water supply temperature.

[0091] In some embodiments, a metering module may also be included. The metering module is arranged on the water inlet pipe of the water supply circulation pipeline, and billing is performed according to the metering module.

[0092] A heating method with intelligent regulation function, comprising:

[0093] Generate a forecast heating model based on outdoor meteorological information, indoor data information and temperature setting value; the outdoor meteorological information includes outdoor temperature, weather and light intensity; the indoor data information includes heating type and indoor temperature;

[0094] A real-time heating model is generated based on the predicted heating model, buffer time and correction data; the predicted heating model is a curve of predicted water supply temperature change over time, and the real-time heating model is a curve of real-time water supply temperature change over time; the water supply temperature at time t is calculated by the following formula:

[0095]

[0096]

[0097]

[0098]

[0099] Among them, T 时 is the real-time water supply temperature, ℃;

[0100] T 预 To predict the water supply temperature, °C;

[0101] T 体感 is the perceived temperature, ℃;

[0102] T 室内 is the indoor temperature, °C;

[0103] T 室外 is the outdoor temperature, °C;

[0104] T 修正 is the corrected data, ℃;

[0105] T 基础 is the basic water temperature, ℃, when the radiator is heating, T 基础 =50℃, floor heating, T 基础 =70℃;

[0106] M = -1, 0, 1 and 2, where snow is 2, rain is 1, cloudy is 0, and sunny is -1; t is the measurement time, 0-24;

[0107] t0 is the time when the outdoor temperature is the highest during the day;

[0108] T 设定 To set the temperature;

[0109] The real-time heating model includes execution data, and the opening and flow rate of the electronically controlled valve are controlled according to the execution data.

[0110] In some embodiments of the present invention, the control of the electronically controlled valve opening and the water supply flow rate according to the execution data specifically includes the following steps: the initial valve opening is 50%,

[0111] If -5<T 预 -T 基础When the water flow rate is less than 5, adjust the opening of the electric control valve; if the adjustment range of the electric control valve is 40%-70%, adjust the opening of the electric control valve. If the opening of the electric control valve is closed to below 40%, reduce the water supply flow rate and reduce the opening of the electric control valve until the opening of the electric control valve is 30%; if the opening of the electric control valve increases to more than 70%, increase the water supply flow rate and increase the valve opening.

[0112] In some embodiments of the present invention, the opening of the electronically controlled valve and the water supply speed are adjusted according to the temperature difference between the supply water temperature and the return water temperature:

[0113] If the temperature difference between the supply water temperature and the return water temperature is greater than the preset upper limit, the opening of the electronically controlled valve is increased and the water supply flow rate is increased; if the temperature difference between the supply water temperature and the return water temperature is less than the preset lower limit, the valve opening is reduced and the water supply flow rate is reduced;

[0114] If the adjustment scheme of adjusting the opening of the electric control valve and the water supply speed according to the temperature difference between the supply water temperature and the return water temperature conflicts with the adjustment scheme of controlling the opening of the electric control valve and the water supply flow rate according to the execution data, the electric control valve opening and the water supply speed shall be adjusted according to the temperature difference between the supply water temperature and the return water temperature.

[0115] In some embodiments of the present invention, before the step of generating a real-time heating model according to the predicted heating model, the buffer time and the correction data, the predicted heating model is initially corrected:

[0116] Obtain outdoor meteorological information data for 15 days before and after the same date as the forecast heating model in previous years, select the heating model of previous years corresponding to the outdoor meteorological information data that is closest to the meteorological data of the forecast heating model on the day, and use the average value of the forecast heating model and the heating model of previous years as the preliminary revised forecast heating model.

[0117] In some embodiments of the present invention, when the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models with a higher temperature than the predicted water supply temperature are selected:

[0118]

[0119] In some embodiments of the present invention, when the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models lower than the predicted water supply temperature are selected:

[0120]

[0121] It should be noted that the above embodiments can be freely combined as needed. The above description is only the preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A heating method with intelligent adjustment function, characterized in that: include: Generate a forecast heating model based on outdoor meteorological information, indoor data information and temperature setting value; the outdoor meteorological information includes outdoor temperature, weather and light intensity; the indoor data information includes heating type and indoor temperature; A real-time heating model is generated based on the predicted heating model, buffer time and correction data; the predicted heating model is a curve of predicted water supply temperature change over time, and the real-time heating model is a curve of real-time water supply temperature change over time; the water supply temperature at time t is calculated by the following formula: (1) (2) The value is 16-20℃ (3) (4) Among them, T 时 is the real-time water supply temperature, °C; T 预 To predict the water supply temperature, °C; T 体感 is the perceived temperature, ℃; is the indoor temperature, °C; is the outdoor temperature, °C; is the corrected data, ℃; is the basic water temperature, ℃, when the radiator is heating, =50℃, floor heating, =70℃; M = -1, 0, 1 and 2, where snow is 2, rain is 1, cloudy is 0, and sunny is -1; t is the measurement time, 0-24; t0 is the time when the outdoor temperature is the highest during the day; T 设定 To set the temperature; The real-time heating model includes execution data, and the opening and flow rate of the electronically controlled valve are controlled according to the execution data; The control of the electric control valve opening and the water supply flow rate according to the execution data specifically includes the following steps: the initial valve opening is 50%, like When the electric control valve is closed, adjust the opening of the electric control valve; if the electric control valve is adjusted within the range of 40%-70%, adjust the opening of the electric control valve. If the opening of the electric control valve is closed to less than 40%, reduce the water supply flow rate and reduce the opening of the electric control valve until the opening of the electric control valve is 30%; if the opening of the electric control valve increases to more than 70%, increase the water supply flow rate and increase the valve opening; Adjust the opening of the electric control valve and the water supply speed according to the temperature difference between the supply water temperature and the return water temperature: If the temperature difference between the supply water temperature and the return water temperature is greater than the preset upper limit, the opening of the electronically controlled valve is increased and the water supply flow rate is increased; if the temperature difference between the supply water temperature and the return water temperature is less than the preset lower limit, the valve opening is reduced and the water supply flow rate is reduced; If the adjustment scheme of adjusting the opening of the electric control valve and the water supply speed according to the temperature difference between the supply water temperature and the return water temperature conflicts with the adjustment scheme of controlling the opening of the electric control valve and the water supply flow rate according to the execution data, the adjustment of the opening of the electric control valve and the water supply speed according to the temperature difference between the supply water temperature and the return water temperature shall be given priority; Before the step of generating a real-time heating model according to the predicted heating model, the buffer time and the correction data, the predicted heating model is initially corrected: Obtain outdoor meteorological information data for 15 days before and after the same date as the forecast heating model in previous years, select the previous years' heating model corresponding to the outdoor meteorological information data that is closest to the meteorological data of the forecast heating model on the day, and use the average value of the forecast heating model and the previous years' heating model as the preliminary revised forecast heating model; When the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models with a higher temperature than the predicted water supply temperature are selected: The value is 16-20℃ (3).

2. The heating method with intelligent adjustment function according to claim 1, characterized in that: When the following formula is used to calculate the predicted water supply temperature, when selecting the previous years' heating model corresponding to the outdoor meteorological information data closest to the meteorological data of the predicted heating model on the day, the previous years' heating models lower than the predicted water supply temperature are selected: (4)。

Citation Information

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