CN110986245A - Multi-region fresh air volume intelligent adjusting method and adjusting system - Google Patents
Multi-region fresh air volume intelligent adjusting method and adjusting system Download PDFInfo
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- CN110986245A CN110986245A CN201911066565.9A CN201911066565A CN110986245A CN 110986245 A CN110986245 A CN 110986245A CN 201911066565 A CN201911066565 A CN 201911066565A CN 110986245 A CN110986245 A CN 110986245A
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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
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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
- F24F11/62—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
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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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
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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
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
- F24F2110/70—Carbon dioxide
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Abstract
The invention belongs to the technical field of air conditioner control, and discloses a multi-zone fresh air quantity intelligent adjusting method and systemThe purpose of energy conservation. The invention can control indoor CO by changing the fresh air volume2Concentration; the fresh air ratio is adjusted in real time according to the fresh air volume of the key region and the requirements of different regions, so that the CO is ensured2The fresh air quantity is reduced when the concentration is in a specified range, so that the fresh air load is reduced, and the energy consumption is reduced; according to the method, the fresh air ratio of the real-time fresh air demand correction system is obtained according to the MSE strategy equation, and meanwhile, the return air of the non-key area is utilized to dilute the key area, so that the fresh air load is reduced, and the energy consumption is reduced.
Description
Technical Field
The invention belongs to the technical field of air conditioner control, and particularly relates to a multi-region fresh air volume intelligent adjusting method and system.
Background
Currently, the closest prior art:
the conventional on-demand ventilation control scheme consists essentially of CO2A concentration sensor, a controller and an air valve, wherein CO2The concentration sensor device is positioned in the return air pipeline and monitors return air CO on line2The concentration is fed back to the controller to control the opening of the fresh air valve.
But return air CO in the conventional scheme2Concentration of CO over the whole area2The average value of the concentration can not be distinguished for the air quality of different areas, and the regional CO is directly influenced2The accuracy of concentration detection, the terminal blast gate does not control the fresh air volume size simultaneously, and the new trend ratio of different regional adoption is unified, just also can't satisfy the fresh air volume requirement in different regions. Thus using CO2The concentration is a control index, and fresh air volume and indoor air quality of different areas are controlled by adopting a fresh air ratio control strategy.
In summary, the problems of the prior art are as follows:
in the existing fresh air volume adjusting technology, when the fresh air volume is too large, the fresh air load is at a very high level, the air quality is not obviously improved, and the energy waste is caused.
In addition, the prior art can not correct the required fresh air ratio in real time according to the fresh air volume requirements of different areas, so that the fresh air volume load can not be effectively reduced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multi-region fresh air volume intelligent adjusting method and a multi-region fresh air volume intelligent adjusting system.
The invention is realized in such a way that a multi-zone intelligent fresh air volume adjusting method corrects the fresh air ratio by using an MSE equation to obtain a real-time 'key zone' fresh air ratio, calculates the corrected value in real time by measuring data by using a sensor, and dilutes the 'key zone' by using 'non-key zone' return air so as to reduce the requirement of the fresh air ratio of a heating and ventilation system and achieve the aim of saving energy.
The method specifically comprises the following steps:
the multi-region fresh air volume intelligent regulation method comprises the following steps:
the fresh air ratio of an initial key area is obtained through a maximum fresh air ratio control strategy, the MSE equation is used for correcting the fresh air ratio to obtain a real-time fresh air ratio of the key area, a sensor is used for measuring data and calculating a corrected value in real time, and meanwhile, non-key area return air is used for diluting the key area, so that the fresh air load is reduced.
Further, the method of the maximum fresh air ratio control strategy comprises the following steps:
the fresh air ratio of the key area is used as a fixed fresh air ratio set value of the system, and the set value is as follows:
Y＝max{Zi}；
wherein Zi is the fresh air ratio of each region, and Y is the fixed fresh air ratio of the system.
Further, the MSE strategy equation is:
wherein, Y1To correct the fresh air ratio; x is the current total fresh air ratio; z is the fresh air ratio of the key area.
Further, the multi-region fresh air volume intelligent regulation method comprises the following steps under the working condition in summer:
firstly, setting an initial fresh air ratio, and calculating the initial fresh air ratio according to a maximum fresh air ratio control strategy;
secondly, collecting real-time fresh air temperature, return air temperature and indoor temperature on line to judge the running state of the system;
step three, then collecting air supply CO in real time2Concentration, fresh air CO2Concentration and indoor CO2The concentration is used for calculating the fresh air quantity required by each region;
fourthly, regulating a fresh air valve and an air supply valve through the calculated fresh air quantity to control the fresh air quantity and the air supply quantity;
fifthly, finally, collecting CO on line through a fresh air correction strategy of an MSE equation2And (4) correcting the fresh air ratio in real time through concentration calculation, and outputting the corrected fresh air ratio to a fresh air valve to realize fresh air ratio change control.
Further, in the third step, the air supply CO is collected in real time2Concentration, fresh air CO2Concentration and indoor CO2Concentration, and the method for calculating the fresh air volume required by each area comprises the following steps:
according to CO in different regions2The signals fed back by the concentration sensor are calculated and analyzed by the controller, the fresh air ratio of each area is corrected in real time, and the fresh air volume is changed by controlling each fresh air valve, so that the CO of each area is controlled respectively2And (4) concentration.
Further, in step five, when the CO is in the region2When the concentration changes, CO2The concentration sensor transmits signals to the controller, the fresh air ratio is calculated through a fresh air correction strategy of a preset MSE equation to obtain the opening of a fresh air valve, and the opening signal of the fresh air is transmitted to an air valve at the tail end to adjust the fresh air volume and control the fresh air requirements of different areas; and meanwhile, calculating non-key areas, and controlling the air volume of the return air of the non-key areas of each area to reenter the air inlet through the air mixing valve.
The invention also aims to provide a terminal, and the terminal is provided with a controller for realizing the multi-region fresh air intelligent regulation method.
Another object of the present invention is to provide a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to execute the multi-region intelligent fresh air volume adjusting method.
The invention also aims to provide a multi-region fresh air intelligent regulation system for realizing the multi-region fresh air intelligent regulation method.
The invention also aims to provide an intelligent central air conditioner for realizing the multi-region fresh air quantity intelligent regulation method.
In summary, the advantages and positive effects of the invention are:
the multi-zone fresh air quantity intelligent regulation method provided by the invention firstly obtains an initial 'key zone' fresh air ratio through a maximum fresh air ratio control strategy, measures the C02 concentration in real time, obtains a real-time fresh air demand correction system fresh air ratio according to an MSE strategy equation on the basis, and simultaneously dilutes the 'key zone' by using 'non-key zone' return air, thereby reducing the fresh air load and reducing the energy consumption.
Compared with the prior art, the invention has the advantages that:
the invention can control indoor CO by changing the fresh air volume2Concentration, but when the fresh air volume is too big, the fresh air load is in very high level, and the air quality promotes not obviously, causes the energy waste. Therefore, aiming at the problem, the invention obtains the fresh air volume of the 'key area' of the area, and simultaneously corrects the required fresh air ratio in real time according to the fresh air volume requirements of different areas, thereby ensuring that CO is in a state of ensuring2The fresh air quantity is reduced when the concentration is in the specified range, the fresh air load is reduced, and the energy consumption is reduced.
Drawings
FIG. 1 is a flow chart of a method for intelligently adjusting a multi-zone fresh air volume under summer conditions according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a fresh air ratio control strategy under summer working conditions according to an embodiment of the invention.
Fig. 3 is a schematic diagram of a multi-zone intelligent fresh air volume adjusting system according to an embodiment of the present invention.
FIG. 4 is a CO-based representation provided by an embodiment of the present invention2A flow chart of a fresh air control method of concentration.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the existing fresh air volume adjusting technology, when the fresh air volume is too large, the fresh air load is at a very high level, the air quality is not obviously improved, and the energy waste is caused.
And the required fresh air ratio can not be corrected in real time according to the fresh air volume requirements of different areas, so that the fresh air volume load can not be effectively reduced.
Aiming at the problems in the prior art, the invention provides a multi-region fresh air volume intelligent regulation method and a multi-region fresh air volume intelligent regulation system, and the invention is described in detail below by combining the attached drawings.
The multi-region fresh air volume intelligent regulation method provided by the embodiment of the invention comprises the following steps:
the fresh air ratio of an initial key area is obtained through a maximum fresh air ratio control strategy, the MSE equation is used for correcting the fresh air ratio to obtain a real-time fresh air ratio of the key area, a sensor is used for measuring data and calculating a corrected value in real time, and meanwhile, non-key area return air is used for diluting the key area, so that the fresh air load is reduced.
As a preferred embodiment, the method of the maximum fresh air ratio control strategy includes:
the fresh air ratio of the key area is used as a fixed fresh air ratio set value of the system, and the set value is as follows:
Y＝max{Zi}。
wherein Zi is the fresh air ratio of each region, and Y is the fixed fresh air ratio of the system.
As a preferred embodiment, the MSE strategy equation is:
wherein, Y1To correct the fresh air ratio; x is the current total fresh air ratio; z is the fresh air ratio of the key area.
As a preferred embodiment, as shown in fig. 1, the multi-zone fresh air volume intelligent regulation method provided by the embodiment of the present invention performs the following steps in summer:
s101, firstly setting an initial fresh air ratio, and calculating the initial fresh air ratio according to a maximum fresh air ratio control strategy.
And S102, acquiring real-time fresh air temperature, return air temperature and indoor temperature on line to judge the running state of the system.
S103, collecting air supply CO in real time2Concentration, fresh air CO2Concentration and indoor CO2And the concentration is used for calculating the fresh air quantity required by each area.
And S104, controlling the fresh air quantity and the air supply quantity through the calculated fresh air quantity adjusting fresh air valve and the air supply valve.
S105, finally, collecting all CO on line through a fresh air correction strategy of an MSE equation2And (4) correcting the fresh air ratio in real time through concentration calculation, and outputting the corrected fresh air ratio to a fresh air valve to realize fresh air ratio change control.
In step S103, the supply air CO is collected in real time2Concentration, fresh air CO2Concentration and indoor CO2Concentration, and the method for calculating the fresh air volume required by each area comprises the following steps:
according to CO in different regions2The signals fed back by the concentration sensor are calculated and analyzed by the controller, the fresh air ratio of each area is corrected in real time, and the fresh air volume is changed by controlling each fresh air valve, so that the CO of each area is controlled respectively2And (4) concentration.
In step S105, when CO is in the region2When the concentration changes, CO2The concentration sensor transmits signals to the controller, the fresh air ratio is calculated through a fresh air correction strategy of a preset MSE equation to obtain the opening of a fresh air valve, and the opening signal of the fresh air is transmitted to an air valve at the tail end to adjust the fresh air volume and control the fresh air requirements of different areas; and meanwhile, calculating non-key areas, and controlling the air volume of the return air of the non-key areas of each area to reenter the air inlet through the air mixing valve.
The invention is further described with reference to specific examples.
Example 1
FIG. 2 is a flow chart of a fresh air change ratio control strategy under summer working conditions. Firstly, setting an initial fresh air ratio of a system, wherein the initial fresh air ratio is calculated according to a maximum fresh air ratio control strategy; secondly, the real-time fresh air temperature, return air temperature and indoor temperature are acquired on lineTemperature to determine the system operating state; then collecting air supply CO in real time2Concentration, fresh air CO2Concentration and indoor CO2The concentration is used for calculating the fresh air quantity required by each region; then the fresh air quantity and the air supply quantity are controlled by adjusting a fresh air valve and an air supply valve through the calculated fresh air quantity; finally, collecting CO on line through fresh air correction strategy of MSE equation2And (4) correcting the fresh air ratio in real time through concentration calculation, and outputting the corrected fresh air ratio to a fresh air valve to realize fresh air ratio change control.
In the variable air volume air conditioning system, the minimum fresh air requirement of each air conditioning area is determined according to personnel factors and activity conditions, so that the value of the minimum fresh air requirement is different in different areas at different moments. Based on indoor CO2The fresh air volume control of the concentration adopts a closed-loop control mode, wherein the target value is indoor CO2Standard value of concentration, indoor real-time CO2The concentration is used as a return value, and the fresh air ratio is controlled by changing the opening degree of the fresh air valve, so that the fresh air quantity is controlled.
The ratio of the fresh air demand to the air supply demand of each area is called as the fresh air ratio of the air supply of the air conditioning system, wherein the area with the largest fresh air ratio is called as a key area. The fresh air ratio of the key area is taken as a system fresh air ratio fixed value strategy and is a fixed fresh air ratio control strategy, and the strategy of correcting the fresh air ratio in real time according to the fresh air quantity required by each area is a variable fresh air ratio control strategy.
The fixed fresh air ratio control strategy mainly comprises a maximum fresh air ratio control strategy (MaxY strategy) based on MaxY and a fresh air correction strategy (MSE strategy) using an MSE equation. The MaxY strategy takes the fresh air ratio of the key area as a fixed fresh air ratio set value of the system, and the following formula is shown:
Y＝max{Zi}。
wherein Zi is the fresh air ratio of each region, and Y is the fixed fresh air ratio of the system.
The MaxY strategy meets the minimum fresh air volume requirement of a 'key area', but the fresh air volume of other air-conditioning areas is in an excess state, and the fresh air energy consumption of the air conditioner is increased.
After correction is carried out on the basis of the MaxY strategy, the ASHRAE standard provides a calculation formula of a corrected fresh air ratio aiming at the multi-zone effect, namely an MSE strategy equation:
wherein, Y1To correct the fresh air ratio; x is the current total fresh air ratio; z is the fresh air ratio of the key area.
In an air conditioning system, due to the existence of factors such as ventilation efficiency, excessive ventilation and the like, the return air still has a lot of fresh air which is not utilized yet under the common condition. The MSE strategy for correcting the fresh air ratio is established on the basis that the fresh air still can be used in the return air of the 'non-key area', and the return air of the 'non-key area' is used for diluting the 'key area', so that the requirement of the fresh air ratio of the heating and ventilation system is reduced, and the aim of saving energy is fulfilled.
The variable fresh air ratio control strategy calculates the fresh air ratio of an initial 'key zone' through a MaxY-based maximum fresh air ratio control strategy, and corrects the fresh air ratio of the system by calculating the fresh air demand in real time through a fresh air correction strategy of an MSE equation.
Example 2
FIG. 3 is a diagram of a multi-region intelligent fresh air volume adjusting system, which is improved on the basis of a traditional control scheme and is used for adjusting CO2The concentration sensors are arranged in each region, when CO is in the region2When the concentration changes, the sensor transmits a signal to the controller, the opening of the fresh air valve is obtained after the fresh air ratio is calculated through preset program processing, and the opening signal of the fresh air is transmitted to the air valve at the tail end to adjust the fresh air volume so as to control the fresh air demands of different areas. And meanwhile, calculating 'non-key areas', and controlling the air volume of return air of the 'non-key areas' of each area to reenter the air inlet through the air mixing valve.
Example 3
Based on CO2The flow of the concentration fresh air control scheme is shown in fig. 4. The control flow meets the minimum fresh air volume of a key area and is based on CO in different areas2The signals fed back by the sensors are calculated and analyzed by the controller, the fresh air ratio of each area is corrected in real time, and the fresh air volume is changed by controlling each fresh air valve, so that the CO of each area is controlled respectively2The purpose of the concentration.
The present invention will be further described with reference to effects.
The invention can control indoor CO by changing the fresh air volume2And (4) concentration. The fresh air ratio is adjusted in real time according to the fresh air volume of the key region and the requirements of different regions, so that the CO is ensured2The fresh air quantity is reduced when the concentration is in the specified range, so that the fresh air load is reduced, and the energy consumption is reduced. The method comprises the steps of firstly obtaining an initial 'key zone' fresh air ratio through a maximum fresh air ratio control strategy, measuring the concentration of C02 in real time, obtaining a real-time fresh air demand correction system fresh air ratio according to an MSE strategy equation on the basis, and simultaneously diluting the 'key zone' by utilizing 'non-key zone' return air, so that the fresh air load is reduced, and the energy consumption is reduced.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The utility model provides a multizone new trend intelligent regulation method which characterized in that, multizone new trend intelligent regulation method includes:
the fresh air ratio of an initial key area is obtained through a maximum fresh air ratio control strategy, the MSE equation is used for correcting the fresh air ratio to obtain a real-time fresh air ratio of the key area, a sensor is used for measuring data and calculating a corrected value in real time, and meanwhile, non-key area return air is used for diluting the key area, so that the fresh air load is reduced.
2. The multi-region fresh air volume intelligent regulation method according to claim 1, wherein the method of the maximum fresh air ratio control strategy comprises:
the fresh air ratio of the key area is used as a fixed fresh air ratio set value of the system, and the set value is as follows:
Y＝max{Zi}；
wherein Zi is the fresh air ratio of each region, and Y is the fixed fresh air ratio of the system.
3. The multi-zone intelligent fresh air volume adjusting method according to claim 1, wherein the MSE strategy equation is as follows:
wherein, Y1To correct the fresh air ratio; x is the current total fresh air ratio; z is the fresh air ratio of the key area.
4. The multi-zone intelligent fresh air volume adjusting method according to claim 1, characterized in that the multi-zone intelligent fresh air volume adjusting method performs the following steps in summer:
firstly, setting an initial fresh air ratio, and calculating the initial fresh air ratio according to a maximum fresh air ratio control strategy;
secondly, collecting real-time fresh air temperature, return air temperature and indoor temperature on line to judge the running state of the system;
step three, then collecting air supply CO in real time2Concentration, fresh air CO2Concentration and indoor CO2The concentration is used for calculating the fresh air quantity required by each region;
fourthly, regulating a fresh air valve and an air supply valve through the calculated fresh air quantity to control the fresh air quantity and the air supply quantity;
fifthly, finally, collecting CO on line through a fresh air correction strategy of an MSE equation2And (4) correcting the fresh air ratio in real time through concentration calculation, and outputting the corrected fresh air ratio to a fresh air valve to realize fresh air ratio change control.
5. The multi-zone intelligent fresh air volume adjusting method according to claim 4, characterized in that in step three, the supply air CO is collected in real time2Concentration, fresh air CO2Concentration and indoor CO2Concentration, and the method for calculating the fresh air volume required by each area comprises the following steps:
according to CO in different regions2The signals fed back by the concentration sensor are calculated and analyzed by the controller, the fresh air ratio of each area is corrected in real time, and the fresh air volume is changed by controlling each fresh air valve, so that the CO of each area is controlled respectively2And (4) concentration.
6. The multi-zone intelligent fresh air volume adjusting method according to claim 5, characterized in that in step five, when CO is in a zone2When the concentration changes, CO2The concentration sensor transmits signals to the controller, the fresh air ratio is calculated through a fresh air correction strategy of a preset MSE equation to obtain the opening of a fresh air valve, and the opening signal of the fresh air is transmitted to an air valve at the tail end to adjust the fresh air volume and control the fresh air requirements of different areas; and meanwhile, calculating non-key areas, and controlling the air volume of the return air of the non-key areas of each area to reenter the air inlet through the air mixing valve.
7. A terminal is characterized in that the terminal is provided with a controller for realizing the multi-region fresh air volume intelligent regulation method according to any one of claims 1 to 6.
8. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the multi-zone fresh air volume intelligent regulation method of any one of claims 1-6.
9. A multi-region fresh air intelligent regulation system for realizing the multi-region fresh air intelligent regulation method of any one of claims 1 to 6.
10. An intelligent central air conditioner for realizing the multi-region fresh air intelligent regulation method of any one of claims 1-6.
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| CN113280490A (en) * | 2021-06-26 | 2021-08-20 | 座头鲸通信技术(武汉)有限公司 | New wind system control method and system based on Internet of things and artificial intelligence and storage medium |
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| 张俊雄: "基于预估模糊PID的空调系统控制研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
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| 赵天怡等: "变风量空调系统新风量控制策略对比试验研究", 《暖通空调》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113280490A (en) * | 2021-06-26 | 2021-08-20 | 座头鲸通信技术(武汉)有限公司 | New wind system control method and system based on Internet of things and artificial intelligence and storage medium |
| CN113280490B (en) * | 2021-06-26 | 2022-07-01 | 浙江正理生能科技有限公司 | Control method, control system and storage medium of fresh air system based on Internet of things and artificial intelligence |
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