CN116447709A - Heating ventilation air conditioner load prediction analysis system based on data analysis - Google Patents
Heating ventilation air conditioner load prediction analysis system based on data analysis Download PDFInfo
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- CN116447709A CN116447709A CN202310364645.2A CN202310364645A CN116447709A CN 116447709 A CN116447709 A CN 116447709A CN 202310364645 A CN202310364645 A CN 202310364645A CN 116447709 A CN116447709 A CN 116447709A
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 198
- 238000004458 analytical method Methods 0.000 title claims abstract description 46
- 238000009423 ventilation Methods 0.000 title claims abstract description 15
- 238000007405 data analysis Methods 0.000 title claims abstract description 12
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 238000004378 air conditioning Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 230000000694 effects Effects 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 230000003111 delayed effect Effects 0.000 description 6
- 230000010485 coping Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/10—Weather information or forecasts
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a heating ventilation air conditioning load prediction analysis system based on data analysis, which comprises a temperature acquisition unit, an analysis processing unit, an environment prediction unit, a signal execution unit and a feedback optimization unit, wherein the temperature acquisition unit is used for acquiring indoor temperature, heating load data and outdoor temperature and sending the indoor temperature, the heating load data and the outdoor temperature to the analysis processing unit. According to the invention, the heating load is obtained through the analysis of the indoor and outdoor temperatures, the heating load is synchronously regulated when the outdoor temperature is changed, so that the indoor temperature can be effectively kept unchanged, the stability of the indoor temperature is ensured, the comfort of indoor personnel is improved, and the feedback optimization unit is used for monitoring the indoor temperature after the heating load is changed, so that the regulating coefficient of the heating load is timely regulated when the requirement of the indoor temperature is not maintained unchanged, and the accuracy of the heating load change is ensured.
Description
Technical Field
The invention relates to the field of heating ventilation and air conditioning load prediction, in particular to a heating ventilation and air conditioning load prediction analysis system based on data analysis.
Background
With the pursuit of comfort, heating load prediction is one of the important works of heating systems. By accurate heating load prediction, the heating system can accurately make an operation plan, so that stable, safe and efficient operation of the heating system is ensured. Therefore, it is important to adjust the heating load.
At present, most of the existing heating load adjusting methods automatically increase or decrease the heating load according to indoor temperature change, however, the adjusting mode is delayed to indoor temperature change, so that when the method is operated, indoor temperature can be frequently fluctuated, discomfort is caused to indoor personnel, meanwhile, the delayed heating load change can also cause frequent high-load operation and heating stop, and the frequent starting and stopping of heating equipment can consume a large amount of energy, so that energy conservation is not facilitated.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a heating, ventilation and air conditioning load prediction analysis system based on data analysis, which obtains the heating load which the system should have under the condition of maintaining the indoor temperature unchanged by analyzing the future change of the outdoor temperature, the heating load and the indoor temperature; the heating load is synchronously regulated when the outdoor temperature changes, so that the change of the heating load is no longer delayed from the change of the outdoor temperature, the indoor temperature can be effectively kept unchanged, the stability of the indoor temperature is ensured, and the comfort of indoor personnel is improved; the indoor temperature after the heating load changes is monitored through the feedback optimization unit, whether the changing amplitude of the heating load for coping with the outdoor temperature changes can meet the requirement of maintaining the indoor temperature unchanged or not is checked, the coefficient of heating load adjustment is timely adjusted when the indoor temperature unchanged requirement cannot be maintained, the accuracy of heating load change is ensured, the problem that the heating adjustment is delayed from indoor temperature change, and therefore the stability of the indoor temperature and the outdoor temperature cannot be maintained is solved, and the heating ventilation air conditioning load prediction analysis system based on data analysis is provided.
The invention adopts the following technical scheme:
the heating ventilation air conditioning load prediction analysis system based on data analysis comprises a temperature acquisition unit, an analysis processing unit, an environment prediction unit, a signal execution unit and a feedback optimization unit, wherein the temperature acquisition unit is used for acquiring indoor temperature, heating load data and outdoor temperature and sending the indoor temperature, the heating load data and the outdoor temperature to the analysis processing unit;
the environment prediction unit is used for acquiring air temperature change data in 24 hours in the future through a network, drawing an air temperature change curve according to the air temperature change data and sending the air temperature change curve to the analysis processing unit;
the analysis processing unit is used for calculating a heating capacity value through indoor temperature, heating load data and outdoor temperature, calculating heating load data change according to an air temperature change curve and the heating capacity value, generating a heating load change signal, and sending the heating load change signal to the signal execution unit;
the signal execution unit is used for acquiring a heating load change signal and adjusting the heating, ventilation and air conditioning load according to heating load data in the heating load change signal and the time point of heating load change;
the feedback optimization unit is used for collecting the heating load change signal and the indoor temperature after the heating load change signal is executed, comparing the temperature after the heating load change signal is executed with the indoor temperature before the heating load change signal is executed, analyzing the execution effect of the heating load change signal, and sending the analysis result back to the analysis processing unit.
As a preferred embodiment of the present invention, the environmental prediction unit acquires a temperature data point every other hour when acquiring air temperature change data of 24 hours in the future, wherein the temperature data point is outdoor temperature data, and draws an air temperature change curve with time as X axis and temperature as Y axis.
As a preferred embodiment of the present invention, the analysis processing unit records an indoor temperature as T, an outdoor temperature as T, heating load data as Q, obtains a heating capacity value M through formula analysis,and k is a preset heat exchange coefficient, and according to the outdoor temperature of each point in the air temperature change curve, calculating estimated heating load data under the condition of keeping the indoor temperature unchanged, and sending the air temperature change curve and the estimated heating load data to the signal execution unit.
As a preferred embodiment of the present invention, the signal execution unit obtains an air temperature change curve and estimated heating load data, then executes the estimated heating load data according to a corresponding time point on the air temperature change curve, if execution is completed, generates an execution signal, if not, generates an execution abnormal signal, and sends the execution signal or the execution abnormal signal to the feedback optimization unit, the feedback optimization unit does not react after receiving the execution signal, and the feedback optimization unit displays the execution abnormal signal after receiving the execution abnormal signal.
As a preferred embodiment of the present invention, the feedback optimization unit obtains a temperature after the execution of the heating load variation signal, records the temperature as an execution temperature, records a temperature before the execution of the heating load variation signal as a start temperature, calculates a difference between the execution temperature and the start temperature, compares the difference between the execution temperature and the start temperature with a preset temperature fluctuation threshold, generates a heating load estimation error signal if the difference between the execution temperature and the start temperature is greater than the preset temperature fluctuation threshold, and simultaneously generates a heating load shortage signal if the execution temperature is less than the start temperature, and generates a heating load excess signal if the execution temperature is greater than the start temperature;
if the difference value between the execution temperature and the initial temperature is smaller than or equal to a preset temperature fluctuation threshold value, generating a heating load estimation correct signal, if the execution temperature is smaller than the initial temperature, generating a heating load shortage signal at the same time, if the execution temperature is larger than the initial temperature, generating a heating load excess signal, and if the execution temperature is equal to the initial temperature, not making a reaction;
the feedback optimizing unit sends a heating load estimated error signal or a heating load estimated correct signal and a heating load excessive signal or a heating load insufficient signal to the analysis processing unit.
As a preferred embodiment of the present invention, after the analysis processing unit obtains the heating load estimated error signal, the analysis processing unit adjusts a preset heat exchange coefficient, if an excessive heating load signal is received at the same time, k is reduced, and if an insufficient heating load signal is received at the same time, k is increased;
after the analysis processing unit obtains the heating load estimated correct signal, if the heating load excessive signal is received at the same time, a heating load reducing signal is generated, the heating load reducing signal is sent to the signal executing unit, if the heating load insufficient signal is received at the same time, a heating load improving signal is generated, the heating load improving signal is sent to the signal executing unit, and the signal executing unit correspondingly reduces and improves the heating load after receiving the heating load reducing signal or the heating load improving signal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the future change of the outdoor temperature, the heating load and the indoor temperature are analyzed, so that the heating load which is required to be provided under the condition of maintaining the indoor temperature unchanged is obtained, and the heating load is synchronously regulated when the outdoor temperature changes, so that the change of the heating load is no longer delayed from the change of the outdoor temperature, the indoor temperature can be effectively kept unchanged, the stability of the indoor temperature is ensured, and the comfort of indoor personnel is improved.
2. According to the invention, the feedback optimization unit is used for monitoring the indoor temperature after the heating load changes, so that whether the change amplitude of the heating load for coping with the outdoor temperature changes can meet the requirement of maintaining the indoor temperature unchanged or not is checked, and the coefficient of heating load adjustment is timely adjusted when the requirement of maintaining the indoor temperature unchanged can not be maintained, so that the accuracy of heating load change is ensured.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present invention proposes a heating ventilation and air conditioning load prediction analysis system based on data analysis, in one embodiment, as shown in fig. 1, the analysis system includes a temperature acquisition unit, an analysis processing unit, an environment prediction unit, a signal execution unit and a feedback optimization unit, where the temperature acquisition unit is used to acquire indoor temperature, heating load data and outdoor temperature, and send the indoor temperature, heating load data and outdoor temperature to the analysis processing unit.
The environment prediction unit is used for acquiring air temperature change data in the future 24 hours through a network, and when acquiring the air temperature change data in the future 24 hours, the environment prediction unit acquires a temperature data point every other hour, wherein the temperature data point is outdoor temperature data, the time is taken as an X axis, the temperature is taken as a Y axis, an air temperature change curve is drawn, and the air temperature change curve is sent to the analysis processing unit.
The analysis processing unit is used for measuring the indoor temperature, heating load data and outdoor temperatureCalculating heating capacity value, the analysis processing unit records indoor temperature as T, outdoor temperature as T, heating load data as Q, obtaining heating capacity value M by formula analysis,wherein k is a preset heat exchange coefficient, and according to the outdoor temperature of each point in the air temperature change curve, calculating the estimated heating load data under the condition of keeping the indoor temperature unchanged, wherein the calculating mode is to replace t in a formula with the outdoor temperature, and calculate the heating load data Q under the condition of keeping the heating capacity value M unchanged, and send the air temperature change curve and the estimated heating load data to the signal executing unit.
The signal execution unit is used for acquiring a heating load change signal, adjusting the heating load of the heating ventilation air conditioner according to heating load data and a heating load change time point in the heating load change signal, executing the estimated heating load data according to a corresponding time point on the air temperature change curve after the signal execution unit acquires the air temperature change curve and the estimated heating load data, generating an execution signal if the execution is completed, generating an execution abnormal signal if the execution is not completed, and sending the execution signal or the execution abnormal signal to the feedback optimization unit, wherein the feedback optimization unit does not react after receiving the execution signal, and displaying the execution abnormal signal after receiving the execution abnormal signal so as to remind an administrator of executing the abnormality, thereby being convenient for the administrator to maintain and overhaul the equipment.
The future change of the outdoor temperature, the heating load and the indoor temperature are analyzed, so that the heating load which is required to be provided under the condition of maintaining the indoor temperature unchanged is obtained, and the heating load is synchronously regulated when the outdoor temperature is changed, so that the change of the heating load is no longer delayed from the change of the outdoor temperature, the indoor temperature can be effectively kept unchanged, the stability of the indoor temperature is ensured, and the comfort of indoor personnel is improved.
In one embodiment, as shown in fig. 1, the feedback optimization unit is configured to collect a heating load change signal and an indoor temperature after the heating load change signal is executed, record a temperature after the heating load change signal is executed as an execution temperature, record a temperature before the heating load change signal is executed as a starting temperature, calculate a difference between the execution temperature and the starting temperature, compare the difference between the execution temperature and the starting temperature with a preset temperature fluctuation threshold, generate a heating load estimation error signal if the difference between the execution temperature and the starting temperature is greater than the preset temperature fluctuation threshold, and generate a heating load shortage signal if the execution temperature is less than the starting temperature, and generate a heating load excess signal if the execution temperature is greater than the starting temperature.
If the difference value between the execution temperature and the initial temperature is smaller than or equal to a preset temperature fluctuation threshold value, generating a heating load estimation correct signal, if the execution temperature is smaller than the initial temperature, generating a heating load shortage signal at the same time, if the execution temperature is larger than the initial temperature, generating a heating load excess signal, and if the execution temperature is equal to the initial temperature, not reacting.
The feedback optimization unit sends a heating load estimation error signal or a heating load estimation correct signal and a heating load excessive signal or a heating load insufficient signal to the analysis processing unit.
After the analysis processing unit acquires the heating load estimation error signal, a preset heat exchange coefficient is adjusted, if the heating load excessive signal is received at the same time, k is reduced, and if the heating load insufficient signal is received at the same time, k is increased.
After the analysis processing unit obtains the heating load estimated correct signal, if the heating load excessive signal is received at the same time, a heating load reducing signal is generated, the heating load reducing signal is sent to the signal executing unit, if the heating load insufficient signal is received at the same time, a heating load improving signal is generated, the heating load improving signal is sent to the signal executing unit, and after the signal executing unit receives the heating load reducing signal or the heating load improving signal, the heating load is correspondingly reduced and then improved.
The feedback optimization unit is used for monitoring the indoor temperature after the heating load changes, so that whether the change amplitude of the heating load for coping with the outdoor temperature changes can meet the requirement of maintaining the indoor temperature unchanged or not is checked, the coefficient of heating load adjustment is timely adjusted when the indoor temperature unchanged requirement cannot be maintained, and the accuracy of heating load change is ensured.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The heating ventilation air conditioning load prediction analysis system based on data analysis is characterized by comprising a temperature acquisition unit, an analysis processing unit, an environment prediction unit, a signal execution unit and a feedback optimization unit, wherein the temperature acquisition unit is used for acquiring indoor temperature, heating load data and outdoor temperature and sending the indoor temperature, the heating load data and the outdoor temperature to the analysis processing unit;
the environment prediction unit is used for acquiring air temperature change data in 24 hours in the future through a network, drawing an air temperature change curve according to the air temperature change data and sending the air temperature change curve to the analysis processing unit;
the analysis processing unit is used for calculating a heating capacity value through indoor temperature, heating load data and outdoor temperature, calculating heating load data change according to an air temperature change curve and the heating capacity value, generating a heating load change signal, and sending the heating load change signal to the signal execution unit;
the signal execution unit is used for acquiring a heating load change signal and adjusting the heating, ventilation and air conditioning load according to heating load data in the heating load change signal and the time point of heating load change;
the feedback optimization unit is used for collecting the heating load change signal and the indoor temperature after the heating load change signal is executed, comparing the temperature after the heating load change signal is executed with the indoor temperature before the heating load change signal is executed, analyzing the execution effect of the heating load change signal, and sending the analysis result back to the analysis processing unit.
2. The system according to claim 1, wherein the environment prediction unit obtains a temperature data point every other hour when obtaining temperature change data of 24 hours in the future, wherein the temperature data point is outdoor temperature data, and the temperature change curve is drawn with time as X-axis and temperature as Y-axis.
3. The system for predictive analysis of load of air conditioner based on data analysis according to claim 1, wherein the analysis processing unit records an indoor temperature as T, an outdoor temperature as T, heating load data as Q, obtains a heating capacity value M by formula analysis,and k is a preset heat exchange coefficient, and according to the outdoor temperature of each point in the air temperature change curve, calculating estimated heating load data under the condition of keeping the indoor temperature unchanged, and sending the air temperature change curve and the estimated heating load data to the signal execution unit.
4. The system for predicting and analyzing the load of the heating, ventilation and air conditioning based on the data analysis according to claim 1, wherein the signal executing unit executes the predicted heating load data according to the corresponding time point on the temperature change curve after acquiring the temperature change curve and the predicted heating load data, generates an executing signal if the execution is completed, generates an executing abnormal signal if the execution is not completed, and sends the executing signal or the executing abnormal signal to the feedback optimizing unit, the feedback optimizing unit does not react after receiving the executing signal, and the feedback optimizing unit displays the executing abnormal signal after receiving the executing abnormal signal.
5. The system according to claim 4, wherein the feedback optimizing unit obtains a temperature after the execution of the heating load change signal, records the temperature as an execution temperature, records a temperature before the execution of the heating load change signal as a start temperature, calculates a difference between the execution temperature and the start temperature, compares the difference between the execution temperature and the start temperature with a preset temperature fluctuation threshold, generates a heating load estimation error signal if the difference between the execution temperature and the start temperature is greater than the preset temperature fluctuation threshold, and simultaneously generates a heating load shortage signal if the execution temperature is less than the start temperature, and generates a heating load excess signal if the execution temperature is greater than the start temperature;
if the difference value between the execution temperature and the initial temperature is smaller than or equal to a preset temperature fluctuation threshold value, generating a heating load estimation correct signal, if the execution temperature is smaller than the initial temperature, generating a heating load shortage signal at the same time, if the execution temperature is larger than the initial temperature, generating a heating load excess signal, and if the execution temperature is equal to the initial temperature, not making a reaction;
the feedback optimizing unit sends a heating load estimated error signal or a heating load estimated correct signal and a heating load excessive signal or a heating load insufficient signal to the analysis processing unit.
6. The system for predicting and analyzing the load of the heating, ventilation and air conditioning based on data analysis according to claim 1, wherein after the analysis processing unit obtains a heating load prediction error signal, a preset heat exchange coefficient is adjusted, if an excessive heating load signal is received at the same time, k is reduced, and if an insufficient heating load signal is received at the same time, k is increased;
after the analysis processing unit obtains the heating load estimated correct signal, if the heating load excessive signal is received at the same time, a heating load reducing signal is generated, the heating load reducing signal is sent to the signal executing unit, if the heating load insufficient signal is received at the same time, a heating load improving signal is generated, the heating load improving signal is sent to the signal executing unit, and the signal executing unit correspondingly reduces and improves the heating load after receiving the heating load reducing signal or the heating load improving signal.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310364645.2A CN116447709A (en) | 2023-04-07 | 2023-04-07 | Heating ventilation air conditioner load prediction analysis system based on data analysis |
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| CN202310364645.2A CN116447709A (en) | 2023-04-07 | 2023-04-07 | Heating ventilation air conditioner load prediction analysis system based on data analysis |
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