CN108626844A - The application method of heating ventilation air-conditioning system based on big data technology - Google Patents
The application method of heating ventilation air-conditioning system based on big data technology Download PDFInfo
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- CN108626844A CN108626844A CN201810365146.4A CN201810365146A CN108626844A CN 108626844 A CN108626844 A CN 108626844A CN 201810365146 A CN201810365146 A CN 201810365146A CN 108626844 A CN108626844 A CN 108626844A
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- conditioning system
- heating ventilation
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- temperature
- air
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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
- F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
-
- 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
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/37—Resuming operation, e.g. after power outages; Emergency starting
-
- 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
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
-
- 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
- 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
- F24F2110/20—Humidity
-
- 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
Abstract
The invention discloses a kind of application method of the heating ventilation air-conditioning system based on big data technology, S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept, accurate weather condition, air humidity and the temperature collected in 37 days, it is connected simultaneously with by access control system, collect the flow of the people in 37 days, synchronized update calendar divides festivals or holidays and working day, the data of acquisition is uniformly stored to central control system；S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, 3 periods will be divided into the working time, changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor maintaining constant temperature；S3：Maintenance test：Central control system is debugged every 15 20 days.The present invention can intelligently adjust temperature by synchronized update data, and energy conservation and environmental protection is efficient, is worthy to be popularized.
Description
Technical field
The present invention relates to making for big data technical field more particularly to a kind of heating ventilation air-conditioning system based on big data technology
Use method.
Background technology
Heating,Ventilating and Air Conditioning (Heating, VentilationandAirConditioning, abbreviation HVAC) refers to indoor or vehicle
The system or relevant device of interior responsible heating, ventilation and air conditioning.Heating ventilation air-conditioning system can adjust and control the temperature of air
Degree, humidity, cleanliness factor, speed, pressure and other parameters, improve object space in comfort level, especially medium-and-large-sized industrial building or
An important ring in office building (such as skyscraper).In addition, in the fields and industry such as pharmacy, electronics and oil gas, HVAC is empty
The effect of tune is also very important.In the automatic building control system of current intelligent building, Heating,Ventilating and Air Conditioning is the composition of key
Part.Usually, the heating ventilation air-conditioning system in building can manually carry out switching or based between the preset time
Every carrying out switch control.The case where the case where being included in office office building than more typical situation and shopping mall market.
It handles official business in office building, typically controls the Heating,Ventilating and Air Conditioning of Office Area according to the office hours by computer program or master switch, and
Specific office location can configure the switch of corresponding air outlet, temperature, humidity, clean according to specific needs during during office hours
The parameters such as cleanliness, speed；Also similar control is used in most shopping mall markets.As it can be seen that the HVAC of current intelligent building is empty
Adjusting system is mainly by manually switching and adjusting and automatic switch control at predetermined intervals.This is in automatic building control system
In and not according to effective service condition of object space carry out " intelligence " adjusting, the need of system optimization, energy saving cannot be met
It asks.
Through retrieval, Chinese patent Authorization Notice No. is that CN105333559A discloses a kind of Heating,Ventilating and Air Conditioning control system, warm
Logical air-conditioning system and control method, including automatic control module, the target area for monitoring Heating,Ventilating and Air Conditioning in real time and obtain
The data acquisition module, data analysis module and data memory module of gathered data are taken, data analysis module receives and analysis comes
From the gathered data of data acquisition module to judge the real-time air conditioning requirements situation of target area, stored in data memory module
Historied air conditioning requirements situation simultaneously for data analysis module read, automatic control module communicate to connect and control other modules,
The air conditioning parameter of Heating,Ventilating and Air Conditioning is configured in conjunction with the air conditioning requirements situation of real-time air conditioning requirements Information And Historical.
Disadvantage of the existing technology：Existing Heating,Ventilating and Air Conditioning cannot be based on big data carry out intelligence adjust temperature, mostly according to
Rely the burden for increasing staff in manual adjustment, be not energy-saving and environment-friendly simultaneously, easily causes the wasting of resources.
Invention content
The purpose of the present invention is to provide a kind of application methods of the heating ventilation air-conditioning system based on big data technology, have logical
Temperature can intelligently be adjusted by crossing synchronized update data, and energy conservation and environmental protection, efficient advantage, solving existing system cannot be based on greatly
Data carry out intelligence and adjust temperature, depend on manual adjustment more, increase the burden of staff, be not energy-saving and environment-friendly simultaneously,
The problem of easily causing the wasting of resources.
A kind of application method of heating ventilation air-conditioning system based on big data technology according to the ... of the embodiment of the present invention, specific steps
It is as follows：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 3-7 days, while being connected with by access control system, collect 3-
Flow of the people in 7 days, synchronized update calendar divide festivals or holidays and working day, and the data of acquisition are uniformly stored to center and are controlled
In system；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 15-20 days, it is ensured that system normal operation, every 5-
10 hours synchronous with the update module of large database concept, loophole existing for auto-mending system；Every 30-40 days into Heating,Ventilating and Air Conditioning
It adds new refrigerant and is debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 15-30 days, remove the dust impurity of depalletizing,
Hot wind is blown out by the remaining water stain drying of air outlet by controlling air-conditioning system.
On the basis of said program, in the S2, the working time when a length of 9 hours.
On the basis of said program, in the S2, the time of 3 periods is 3 hours.
On the basis of said program, in the S2, when the maximum temperature on the same day is more than 36 DEG C, heating ventilation air-conditioning system is automatic
Temperature is lowered 2 DEG C.
On the basis of said program, the ingredient of the refrigerant includes the raw material of following parts by weight：Dicholorodifluoromethane 10-
20 parts, 15-20 parts of tetrafluoroethane, 20-30 parts of iso-butane, 10-15 parts of water, 20-30 parts of octafluorocyclobutane, 10-15 parts of propylene.
On the basis of said program, the cleaning agent is tribenzylamine, turpentine oil, neopelex, silane ketone breast
Change one or more of liquid mixture.
On the basis of said program, it is equipped with stand-by power supply in the heating ventilation air-conditioning system, is used for emergency service.
On the basis of said program, the flow of the people is divided into main peak and time peak.
On the basis of said program, when flow of the people is in main peak time, temperature is lowered 2 by heating ventilation air-conditioning system automatically
℃。
On the basis of said program, when flow of the people is in time peak time, temperature is lowered 1 by heating ventilation air-conditioning system automatically
℃。
The present invention has an advantageous effect in that compared with prior art：It can be obtained by being based on big data technology and be worked as in time
The variations such as it weather condition, temperature and humidity enable heating ventilation air-conditioning system intelligently to be adjusted according to available data by analysis
The temperature on the same day is saved, rather than temperature is fixed as a value, the energy and power consumption have been saved into 6-23%, while improving and doing
The comfort level of employee in public building；Change air-conditioner temperature by different periods temperature change and flow of the people variation and equally plays section
The effect of energy；The refrigeration effect of air-conditioning system is made to remain good by periodically adding refrigerant, refrigerating efficiency improves
3-11% brings good experience for employee in office building, is free of polluter in cleaning agent, meets the theory of environmental protection, by with
Big data synchronized update enables existing loophole in heating ventilation air-conditioning system to repair in time, avoids the occurrence of showing for systemic breakdown
As；It can prevent air outlet from being blocked by sundries by periodic cleaning air outlet so that air-conditioning temperature adjustment efficiency increases 10-20%；It is right
Temperature is lowered 2 DEG C in hot weather and flow of the people peak period intelligence so that the system more hommization promotes people to relaxing
The generation for phenomena such as fitting sense, while avoiding heatstroke；The present invention can intelligently adjust temperature, energy-saving ring by synchronized update data
It protects, it is efficient, it is worthy to be popularized.
Description of the drawings
Attached drawing is used to provide further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings：
Fig. 1 is a kind of application method flow chart of the heating ventilation air-conditioning system based on big data technology proposed by the present invention.
Specific implementation mode
For that can further appreciate that feature, technological means and the concrete function reached of the present invention, below with specific implementation
Mode is described in further detail the present invention.
Embodiment 1
A kind of application method of the heating ventilation air-conditioning system based on big data technology is present embodiments provided, specific steps are such as
Under：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 3 days, while being connected with by access control system, collect 3 days
Interior flow of the people, synchronized update calendar divide festivals or holidays and working day, the data of acquisition are uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 15 days, it is ensured that system normal operation, every 5 hours
It is synchronous with the update module of large database concept, loophole existing for auto-mending system；It was added newly into Heating,Ventilating and Air Conditioning every 30 days
Refrigerant is simultaneously debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 15 days, remove the dust impurity of depalletizing, are led to
Control air-conditioning system blowout hot wind is crossed by the remaining water stain drying of air outlet.
Wherein, in the S2, the working time when a length of 9 hours, in the S2, the time of 3 periods is equal
For 3 hours, in the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically,
The ingredient of the refrigerant includes the raw material of following parts by weight：10 parts of dicholorodifluoromethane, 15 parts of tetrafluoroethane, iso-butane 20
Part, 10 parts of water, 20 parts of octafluorocyclobutane, 10 parts of propylene, the cleaning agent are tribenzylamine, turpentine oil, neopelex
Mixture, mixing ratio 3:1:2, the heating ventilation air-conditioning system is interior to be equipped with stand-by power supply, is used for emergency service, the stream of people
Amount is divided into main peak and time peak, and when flow of the people is in main peak time, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically, when
Flow of the people is in time peak time, and temperature is lowered 1 DEG C by heating ventilation air-conditioning system automatically.
Embodiment 2
A kind of application method of the heating ventilation air-conditioning system based on big data technology is present embodiments provided, specific steps are such as
Under：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 7 days, while being connected with by access control system, collect 7 days
Interior flow of the people, synchronized update calendar divide festivals or holidays and working day, the data of acquisition are uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 20 days, it is ensured that system normal operation is small every 10
When, auto-mending system existing for loophole synchronous with the update module of large database concept；It was added newly into Heating,Ventilating and Air Conditioning every 40 days
Refrigerant and debugged, so that it is normally freezed；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 30 days, remove the dust impurity of depalletizing, are led to
Control air-conditioning system blowout hot wind is crossed by the remaining water stain drying of air outlet.
Wherein, in the S2, the working time when a length of 9 hours, in the S2, the time of 3 periods is equal
For 3 hours, in the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically,
The ingredient of the refrigerant includes the raw material of following parts by weight：20 parts of dicholorodifluoromethane, 20 parts of tetrafluoroethane, iso-butane 30
Part, 15 parts of water, 30 parts of octafluorocyclobutane, 15 parts of propylene, the cleaning agent are the mixture of tribenzylamine and silane ketone emulsion,
Mixing ratio is 2:1, the heating ventilation air-conditioning system is interior to be equipped with stand-by power supply, is used for emergency service, the flow of the people is divided into main peak
With secondary peak, when flow of the people is in main peak time, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically, when flow of the people is in secondary
Temperature is lowered 1 DEG C by peak time, heating ventilation air-conditioning system automatically.
Embodiment 3
A kind of application method of the heating ventilation air-conditioning system based on big data technology is present embodiments provided, specific steps are such as
Under：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 5 days, while being connected with by access control system, collect 5 days
Interior flow of the people, synchronized update calendar divide festivals or holidays and working day, the data of acquisition are uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 17 days, it is ensured that system normal operation, every 7 hours
It is synchronous with the update module of large database concept, loophole existing for auto-mending system；It was added newly into Heating,Ventilating and Air Conditioning every 35 days
Refrigerant is simultaneously debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 20 days, remove the dust impurity of depalletizing, are led to
Control air-conditioning system blowout hot wind is crossed by the remaining water stain drying of air outlet.
Wherein, in the S2, the working time when a length of 9 hours, in the S2, the time of 3 periods is equal
For 3 hours, in the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically,
The ingredient of the refrigerant includes the raw material of following parts by weight：15 parts of dicholorodifluoromethane, 17 parts of tetrafluoroethane, iso-butane 25
Part, 12 parts of water, 25 parts of octafluorocyclobutane, 12 parts of propylene, the cleaning agent is silane ketone emulsion, in the heating ventilation air-conditioning system
Equipped with stand-by power supply, it is used for emergency service, the flow of the people to be divided into main peak and time peak, when flow of the people is in main peak
Temperature is lowered 2 DEG C by phase, heating ventilation air-conditioning system automatically, and when flow of the people is in time peak time, heating ventilation air-conditioning system automatically will be warm
Degree lowers 1 DEG C.
Embodiment 4
A kind of application method of the heating ventilation air-conditioning system based on big data technology is present embodiments provided, specific steps are such as
Under：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 4 days, while being connected with by access control system, collect 4 days
Interior flow of the people, synchronized update calendar divide festivals or holidays and working day, the data of acquisition are uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 16 days, it is ensured that system normal operation, every 6 hours
It is synchronous with the update module of large database concept, loophole existing for auto-mending system；It was added newly into Heating,Ventilating and Air Conditioning every 32 days
Refrigerant is simultaneously debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 17 days, remove the dust impurity of depalletizing, are led to
Control air-conditioning system blowout hot wind is crossed by the remaining water stain drying of air outlet.
Wherein, in the S2, the working time when a length of 9 hours, in the S2, the time of 3 periods is equal
For 3 hours, in the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically,
The ingredient of the refrigerant includes the raw material of following parts by weight：12 parts of dicholorodifluoromethane, 16 parts of tetrafluoroethane, iso-butane 22
Part, 11 parts of water, 22 parts of octafluorocyclobutane, 11 parts of propylene, the cleaning agent are neopelex and silane ketone emulsion
Mixture, mixing ratio 1:1, the heating ventilation air-conditioning system is interior to be equipped with stand-by power supply, is used for emergency service, the flow of the people
It is divided into main peak and time peak, when flow of the people is in main peak time, temperature is lowered 2 DEG C automatically, works as people by heating ventilation air-conditioning system
Flow is in time peak time, and temperature is lowered 1 DEG C by heating ventilation air-conditioning system automatically.
Embodiment 5
A kind of application method of the heating ventilation air-conditioning system based on big data technology is present embodiments provided, specific steps are such as
Under：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept
It connects, accurate weather condition, air humidity and the temperature collected in 6 days, while being connected with by access control system, collect 6 days
Interior flow of the people, synchronized update calendar divide festivals or holidays and working day, the data of acquisition are uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, the working time will be divided into 3
A period changes the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, makes indoor guarantor
Hold constant temperature；
S3：Maintenance test：Central control system is debugged every 18 days, it is ensured that system normal operation, every 8 hours
It is synchronous with the update module of large database concept, loophole existing for auto-mending system；It was added newly into Heating,Ventilating and Air Conditioning every 37 days
Refrigerant is simultaneously debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 25 days, remove the dust impurity of depalletizing, are led to
Control air-conditioning system blowout hot wind is crossed by the remaining water stain drying of air outlet.
Wherein, in the S2, the working time when a length of 9 hours, in the S2, the time of 3 periods is equal
For 3 hours, in the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically,
The ingredient of the refrigerant includes the raw material of following parts by weight：17 parts of dicholorodifluoromethane, 18 parts of tetrafluoroethane, iso-butane 27
Part, 13 parts of water, 27 parts of octafluorocyclobutane, 13 parts of propylene, the cleaning agent be tribenzylamine, turpentine oil, neopelex,
The mixture of silane ketone emulsion, mixing ratio 1:3:2:1, the heating ventilation air-conditioning system is interior to be equipped with stand-by power supply, for tight
Anxious power supply, the flow of the people are divided into main peak and time peak, and when flow of the people is in main peak time, heating ventilation air-conditioning system automatically will
Temperature lowers 2 DEG C, and when flow of the people is in time peak time, temperature is lowered 1 DEG C by heating ventilation air-conditioning system automatically.
Reference examples
The application method that the present invention is used is as experimental group, and existing heating ventilation air-conditioning system application method is as a contrast
Group, difference testing air conditioner refrigerating efficiency, satisfaction and day power consumption, test result is as follows shown in table：
In conclusion the application method that the present invention uses makes indoor difference variation smaller, employee's is comfortable in office building
Sense improves, while the refrigerating efficiency of air-conditioning improves 3-11%, and power consumption reduces 6-23%, therefore the method that the present invention uses
It is more energy saving comfortable, it is worthy to be popularized.
Place is not described in detail by the present invention, is the known technology of those skilled in the art.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. the application method of the heating ventilation air-conditioning system based on big data technology, it is characterised in that：It is as follows：
S1：Data acquire：First, the central control system of Heating,Ventilating and Air Conditioning is connected by wireless network with large database concept, it is accurate
Weather condition, air humidity and temperature in acknowledgement collection 3-7 days, while being connected with by access control system, it collects in 3-7 days
Flow of the people, synchronized update calendar divides festivals or holidays and working day, the data of acquisition uniformly stored to central control system
It is interior；
S2：Data Analysis Services：Intelligent temperature adjusting is carried out according to the data analysis of acquisition, when will be divided into 3 the working time
Between section, change the temperature of heating ventilation air-conditioning system according to the temperature change of different periods and flow of the people variation, keep indoor holding permanent
Temperature；
S3：Maintenance test：Central control system is debugged every 15-20 days, it is ensured that system normal operation is small every 5-10
When, auto-mending system existing for loophole synchronous with the update module of large database concept；It was added into Heating,Ventilating and Air Conditioning every 30-40 days
New refrigerant is simultaneously debugged, it is made normally to freeze；
S4：Cleaning：Multiple air outlets were cleaned by cleaning agent every 15-30 days, the dust impurity of depalletizing is removed, passes through
Air-conditioning system blowout hot wind is controlled by the remaining water stain drying of air outlet.
2. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：
In the S2, the working time when a length of 9 hours.
3. the application method of the heating ventilation air-conditioning system according to claim 2 based on big data technology, it is characterised in that：
In the S2, the time of 3 periods is 3 hours.
4. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：
In the S2, when the maximum temperature on the same day is more than 36 DEG C, temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically.
5. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：Institute
The ingredient for stating refrigerant includes the raw material of following parts by weight：10-20 parts of dicholorodifluoromethane, 15-20 parts of tetrafluoroethane, iso-butane
20-30 parts, 10-15 parts of water, 20-30 parts of octafluorocyclobutane, 10-15 parts of propylene.
6. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：Institute
It is one or more of tribenzylamine, turpentine oil, neopelex, silane ketone emulsion mixture to state cleaning agent.
7. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：Institute
It states and is equipped with stand-by power supply in heating ventilation air-conditioning system, be used for emergency service.
8. the application method of the heating ventilation air-conditioning system according to claim 1 based on big data technology, it is characterised in that：Institute
It states flow of the people and is divided into main peak and time peak.
9. the application method of the heating ventilation air-conditioning system according to claim 8 based on big data technology, it is characterised in that：When
Flow of the people is in main peak time, and temperature is lowered 2 DEG C by heating ventilation air-conditioning system automatically.
10. the application method of the heating ventilation air-conditioning system according to claim 8 based on big data technology, it is characterised in that：
When flow of the people is in time peak time, temperature is lowered 1 DEG C by heating ventilation air-conditioning system automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810365146.4A CN108626844A (en) | 2018-04-18 | 2018-04-18 | The application method of heating ventilation air-conditioning system based on big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810365146.4A CN108626844A (en) | 2018-04-18 | 2018-04-18 | The application method of heating ventilation air-conditioning system based on big data technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108626844A true CN108626844A (en) | 2018-10-09 |
Family
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810365146.4A Pending CN108626844A (en) | 2018-04-18 | 2018-04-18 | The application method of heating ventilation air-conditioning system based on big data technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110488695A (en) * | 2019-08-09 | 2019-11-22 | 广州启盟信息科技有限公司 | A kind of dispatching method and device based on stream of people's data |
| CN112696794A (en) * | 2020-12-25 | 2021-04-23 | 山东博科建筑工程有限公司 | Heating, ventilation and air conditioning control method, device and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20000057057A (en) * | 1999-02-03 | 2000-09-15 | 다카노 야스아키 | Air-conditioner |
| CN1740730A (en) * | 2004-08-25 | 2006-03-01 | M.T.系统株式会社 | Cleaning device for embedded roof air conditioner heat exchanger |
| CN101751614A (en) * | 2008-11-27 | 2010-06-23 | 财团法人工业技术研究院 | Method for forecasting customer flow grade and air conditioner temperature control method applying same |
| CN106196335A (en) * | 2016-07-14 | 2016-12-07 | 海信科龙电器股份有限公司 | Off-premises station, indoor set, off-premises station control method and air-conditioner |
| CN106338127A (en) * | 2016-09-20 | 2017-01-18 | 珠海格力电器股份有限公司 | Load forecast and control system and method for metro heat ventilation and air-conditioning system |
| CN106642585A (en) * | 2016-12-27 | 2017-05-10 | 海信（山东）空调有限公司 | Cleaning method and device of air-conditioner |
-
2018
- 2018-04-18 CN CN201810365146.4A patent/CN108626844A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20000057057A (en) * | 1999-02-03 | 2000-09-15 | 다카노 야스아키 | Air-conditioner |
| CN1740730A (en) * | 2004-08-25 | 2006-03-01 | M.T.系统株式会社 | Cleaning device for embedded roof air conditioner heat exchanger |
| CN101751614A (en) * | 2008-11-27 | 2010-06-23 | 财团法人工业技术研究院 | Method for forecasting customer flow grade and air conditioner temperature control method applying same |
| CN106196335A (en) * | 2016-07-14 | 2016-12-07 | 海信科龙电器股份有限公司 | Off-premises station, indoor set, off-premises station control method and air-conditioner |
| CN106338127A (en) * | 2016-09-20 | 2017-01-18 | 珠海格力电器股份有限公司 | Load forecast and control system and method for metro heat ventilation and air-conditioning system |
| CN106642585A (en) * | 2016-12-27 | 2017-05-10 | 海信（山东）空调有限公司 | Cleaning method and device of air-conditioner |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110488695A (en) * | 2019-08-09 | 2019-11-22 | 广州启盟信息科技有限公司 | A kind of dispatching method and device based on stream of people's data |
| CN112696794A (en) * | 2020-12-25 | 2021-04-23 | 山东博科建筑工程有限公司 | Heating, ventilation and air conditioning control method, device and system |
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