CN113503622A - Intelligent control regulation and control method and system for central air conditioner and computer storage medium - Google Patents
Intelligent control regulation and control method and system for central air conditioner and computer storage medium Download PDFInfo
- Publication number
- CN113503622A CN113503622A CN202110727483.5A CN202110727483A CN113503622A CN 113503622 A CN113503622 A CN 113503622A CN 202110727483 A CN202110727483 A CN 202110727483A CN 113503622 A CN113503622 A CN 113503622A
- Authority
- CN
- China
- Prior art keywords
- office building
- area
- sub
- temperature
- air
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- 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
-
- 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
-
- 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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
Landscapes
- 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 an intelligent control regulation and control method, a regulation and control system and a computer storage medium for a central air conditioner, wherein the area in an office building is divided into sub-areas, the temperature of each detection position in each sub-area in the office building is respectively detected, the temperature difference between the inside and the outside of the office building is comprehensively analyzed, if the temperature difference is larger than or equal to a set temperature difference threshold value, the central air conditioner in the office building is controlled to be started, the number of personnel in each sub-area in the office building is monitored, the distribution density of the personnel in each sub-area in the office building is analyzed, the heat load release amount at each detection position in each sub-area in the office building and the air inlet and outlet temperature difference of a corresponding air conditioner air outlet in each sub-area in the office building are detected, the comprehensive variable frequency operation power of the corresponding air conditioner outlet in each sub-area in the office building is calculated, and the corresponding variable frequency operation power regulation and control is carried out, thereby improving the utilization rate of electric energy resources, better embodies the energy-saving and electricity-saving effects of the central air conditioner.
Description
Technical Field
The invention relates to the technical field of intelligent control of air conditioners, in particular to an intelligent control method, an intelligent control system and a computer storage medium for a central air conditioner.
Background
In many buildings in China, the high energy consumption of the central air conditioner is a common problem, and particularly in office buildings, the power consumption of the central air conditioner can account for about half of the total power consumption of the whole building, so that the problem of solving the energy consumption control of the central air conditioner is of great significance to energy consumption saving and cost control in China.
At present, the existing central air-conditioning control and regulation method still has certain defects:
1. the existing central air-conditioning control and regulation generally adopts manual auxiliary control, namely, the central air-conditioning is intensively started and regulated manually, and intelligent control cannot be carried out according to the temperature difference inside and outside an office building, so that the central air-conditioning control system in the office building is lack of intelligence, and the experience of people in the office building on the central air-conditioning is reduced;
2. the existing central air-conditioning control and regulation method cannot realize real-time regulation and control of the operation power of the air outlet of the air conditioner, and has the condition that less personnel exist in part of regions or the heat load release amount is too low, but the air outlet of the central air-conditioning still operates at normal limit power, which easily causes unnecessary waste of electric energy resources, thereby reducing the utilization rate of the electric energy resources, increasing the operation cost of each enterprise in an office building and failing to embody the energy-saving and electricity-saving effects of the central air-conditioning;
in order to solve the problems, an intelligent control regulation method, a regulation system and a computer storage medium for a central air conditioner are designed.
Disclosure of Invention
The invention aims to provide an intelligent control regulation and control method, a regulation and control system and a computer storage medium for a central air conditioner, wherein the method comprises the steps of dividing an area in an office building into sub-areas, respectively detecting the temperature of each detection position in each sub-area in the office building, comprehensively analyzing the temperature difference between the inside and the outside of the office building, if the temperature difference is larger than or equal to a set temperature difference threshold, the central air conditioner in the office building is controlled to be started, simultaneously the number of personnel in each sub-area in the office building is monitored, the distribution density of the personnel in each sub-area in the office building is analyzed, and detecting the heat load release amount of each detection position in each sub-area in the office building and the air inlet and outlet temperature difference of the corresponding air-conditioning outlet in each sub-area in the office building, calculating the comprehensive variable frequency operation power of the corresponding air-conditioning outlet in each sub-area in the office building, and regulating and controlling the corresponding variable frequency operation power, thereby solving the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
an intelligent control regulation and control method for a central air conditioner comprises the following steps:
s1, dividing areas in the office building: dividing areas in the office building through an area dividing module, dividing the areas into sub-areas according to the maximum working range of a central air-conditioning air outlet in the office building, and numbering the sub-areas in sequence according to a set sequence;
s2, detecting the temperature in the office building: respectively detecting the temperature of each detection position in each subregion in the office building through a temperature detection module, and comprehensively calculating the average temperature of the regions in the office building;
s3, temperature analysis in the office building: the temperature difference between the inside and the outside of the office building is obtained through the comparison of the temperature analysis module, the temperature difference between the inside and the outside of the office building is compared with a set temperature difference threshold, and if the temperature difference between the inside and the outside of the office building is greater than or equal to the set temperature difference threshold, a central air conditioner in the office building is controlled to be started through the cloud central control platform;
s4, monitoring personnel distribution: monitoring the personnel distribution condition in each sub-area in the office building through a personnel distribution monitoring module, counting the personnel number in each sub-area in the office building, and calculating the personnel distribution density in each sub-area in the office building;
s5, heat load release amount statistics: respectively detecting the heat load release amount of each detection position in each sub-area in the office building through a heat load detection module, and counting the heat load release amount of each detection position in each sub-area in the office building;
s6, acquiring air inlet and outlet temperature difference: respectively detecting the air outlet temperature and the air inlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building through a temperature difference acquisition module, and comparing to obtain the air inlet and outlet temperature difference of the corresponding air conditioner air outlet in each sub-area in the office building;
s7, frequency conversion power adjustment and analysis: the analysis server extracts the rated power of the central air-conditioning air outlet in the office building stored in the storage database when the central air-conditioning air outlet works normally and the standard heat load release amount which can be adjusted when the central air-conditioning air outlet works normally, calculates the comprehensive variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building, and respectively adjusts and controls the corresponding variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building through the cloud central control platform.
In one possible design, step S2 includes the following steps:
s21, randomly arranging a plurality of detection points in each subarea in the office building, and sequentially numbering the positions according to the arrangement sequence to form a detection position number set A in each subarea in the office buildingiB(aib1,aib2,...,aibj,...,aibm),aibjExpressed as the jth detection position number in the ith sub-area in the office building;
s22, detecting the temperature of each detection position in each sub-area in the office building through the first temperature sensor respectively to form a temperature set T of each detection position in each sub-area in the office buildingiB(Tib1,Tib2,...,Tibj,...,Tibm),TibjExpressed as the temperature at the jth detection position in the ith subarea in the office building;
s23, comprehensively calculating the average temperature of the area in the office building The average temperature of the area in the office building is represented, n is the total number of sub-areas divided in the office building, and m is the number of detection points distributed in the ith sub-area in the office building.
In a possible design, in step S3, the real-time temperature outside the office building is detected by the second temperature sensor, and the average temperature of the area inside the office building is compared with the real-time temperature outside the office building, so as to obtain the temperature difference between inside and outside the office building.
In a possible design, in step S4, the distribution of people in each sub-area of the office building is monitored by the thermal imaging monitor, so as to obtain the number of people in the thermal imaging picture of each sub-area of the office building, and form a set X (X) of the number of people in each sub-area of the office building1,x2,...,xi,...,xn),xiExpressed as the number of people in the ith sub-zone in the office building.
In one possible design, the calculation formula of the personnel distribution density in each subarea in the office building isρiExpressed as the distribution density of persons in the ith sub-area, V, of an office buildingmaxExpressed as the maximum working range volume of the outlet in the central air conditioner.
In one possible design, the step S5 includes forming a set Q of heat load release amounts at each detection position in each sub-area in the office buildingiB(Qib1,Qib2,...,Qibj,...,Qibm),QibjExpressed as the amount of heat load released at the jth test location in the ith sub-zone within the office building.
In one possible design, step S6 includes the following steps:
s61, detecting the air outlet temperature of the corresponding air outlet in each sub-area in the office building respectively to form an air outlet temperature set T' A of the corresponding air outlet in each sub-area in the office buildingGo out(T1′aGo out,T2′aGo out,...,Ti′aGo out,...,Tn′aGo out),Ti′aGo outThe temperature is expressed as the air outlet temperature of the corresponding air conditioner air outlet in the ith sub-area in the office building;
s62 and respectivelyThe inlet air temperature of the corresponding air-conditioning outlet in each sub-area in the public building is detected to form an inlet air temperature set T' A of the corresponding air-conditioning outlet in each sub-area in the office buildingInto(T1′aInto,T2′aInto,...,Ti′aInto,...,Tn′aInto),Ti′aGo outThe temperature is expressed as the inlet air temperature of the corresponding air-conditioning outlet in the ith sub-area in the office building;
s63, comparing the air outlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building with the air inlet temperature of the corresponding air conditioner air outlet to obtain an air inlet and outlet temperature difference set delta T' (delta T) of the corresponding air conditioner air outlet in each sub-area in the office building1′,ΔT2′,...,ΔTi′,...,ΔTn′),ΔTi' is expressed as the temperature difference of inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office building.
In one possible design, the calculation formula of the comprehensive variable-frequency operating power of the corresponding air-conditioning air outlet in each sub-area in the office building isWiExpressed as the comprehensive variable frequency operating power, W, of the corresponding air-conditioning outlet in the ith sub-area in the office buildingIs justExpressed as the rated operating power of the central air-conditioning air outlet in the office building when in normal operation, mu expressed as the influence coefficient of the heat load release amount on the operating power of the air-conditioning air outlet, QibjExpressed as the heat load release amount, Q, at the jth detection position in the ith sub-area in the office buildingIs normalExpressed as the standard heat load release amount which can be adjusted when the central air conditioner works normally, alpha and beta are respectively expressed as the weight of the influence proportion corresponding to the distribution density of personnel and the temperature difference of inlet and outlet air, rhoiExpressed as the personnel distribution density, Δ T, in the ith subregion within the office buildingi' is expressed as the temperature difference, T, of the inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office buildingibjExpressed as the temperature at the jth sensing location in the ith sub-zone within the office building.
The utility model provides a central air conditioning intelligent control regulation and control system, the area divides the module to be connected with temperature detection module, and temperature analysis module is connected with accuse platform in temperature detection module and the cloud respectively, and analysis server is connected with personnel's distribution monitoring module, temperature difference acquisition module, heat load detection module, storage database and accuse platform in the cloud respectively.
A computer storage medium is provided, wherein a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the intelligent control regulation and control method for the central air conditioner is realized.
Has the advantages that:
(1) according to the intelligent control and regulation method, the intelligent control and regulation system and the computer storage medium for the central air conditioner, provided by the invention, the area in the office building is divided into the sub-areas, a foundation is laid for detecting relevant data in the sub-areas in the office building in a later period, the temperature of each detection position in each sub-area in the office building is respectively detected, the temperature difference between the inside of the office building and the outside of the office building is comprehensively analyzed, and if the temperature difference is greater than or equal to the set temperature difference threshold value, the central air conditioner in the office building is controlled to be started, so that the intelligent control function of the central air conditioner in the office building is realized, the intelligent degree of the central air conditioner in the office building is improved, and the experience of personnel in the office building on the central air conditioner is met.
(2) The invention can know the personnel distribution situation in each subregion in real time by monitoring the personnel number in each subregion in the office building and analyzing the personnel distribution density in each subregion in the office building, provides an instructive reference for later-stage calculation of the comprehensive variable frequency operation power of the air-conditioning air outlet in each subregion, detects the heat load release amount at each detection position in each subregion in the office building and the air inlet and outlet temperature difference of the corresponding air-conditioning air outlet in each subregion in the office building, provides reliable reference data for later-stage calculation of the comprehensive variable frequency operation power of the air-conditioning air outlet in each subregion, and simultaneously calculates the comprehensive variable frequency operation power of the corresponding air-conditioning air outlet in each subregion in the office building and carries out corresponding variable frequency operation power regulation, thereby realizing real-time regulation and control of the air-conditioning air outlet operation power and avoiding the waste of some unnecessary electric energy resources, the utilization rate of electric energy resources is improved, the operation cost of each enterprise in the office building is further reduced, and the energy-saving and electricity-saving effects of the central air conditioner are better embodied.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the process steps of the present invention;
fig. 2 is a schematic view of a module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent control and regulation method for a central air conditioner includes the following steps:
s1, dividing areas in the office building: the areas in the office building are divided through the area dividing module, the areas are divided into sub-areas according to the maximum working range of each air outlet of the central air conditioner in the office building, the sub-areas in the office building are sequentially numbered according to a set sequence, and the number of each sub-area in the office building is 1,2, a.
Specifically, the area in the office building is divided into the sub-areas, so that a foundation is laid for detecting relevant data in the sub-areas in the office building in the later period.
S2, detecting the temperature in the office building: the temperature detection module is used for respectively detecting the temperature of each detection position in each subarea in the office building and comprehensively calculating the average temperature of the areas in the office building.
In this embodiment, the step S2 includes the following steps:
s21, randomly arranging a plurality of detection points in each subarea in the office building, and sequentially numbering the positions according to the arrangement sequence to form a detection position number set A in each subarea in the office buildingiB(aib1,aib2,...,aibj,...,aibm),aibjExpressed as the jth detection position number in the ith sub-area in the office building;
s22, detecting the temperature of each detection position in each sub-area in the office building through the first temperature sensor respectively to form a temperature set T of each detection position in each sub-area in the office buildingiB(Tib1,Tib2,...,Tibj,...,Tibm),TibjExpressed as the temperature at the jth detection position in the ith subarea in the office building;
s23, comprehensively calculating the average temperature of the area in the office building The average temperature of the area in the office building is represented, n is the total number of sub-areas divided in the office building, and m is the number of detection points distributed in the ith sub-area in the office building.
S3, temperature analysis in the office building: the temperature difference between the inside and the outside of the office building is obtained through the comparison of the temperature analysis module, the temperature difference between the inside and the outside of the office building is compared with a set temperature difference threshold, and if the temperature difference between the inside and the outside of the office building is larger than or equal to the set temperature difference threshold, the central air conditioner in the office building is controlled to be started through the cloud central control platform.
In this embodiment, in step S3, the real-time temperature outside the office building is detected by the second temperature sensor, and the average temperature of the area inside the office building is compared with the real-time temperature outside the office building, so as to obtain the temperature difference between the inside of the office building and the outside of the office building.
Specifically, the temperature of each detection position in each subregion in the office building is detected, the temperature difference between the inside and the outside of the office building is comprehensively analyzed, and if the temperature difference is larger than or equal to the set temperature difference threshold, the central air conditioner in the office building is controlled to be started, so that the intelligent control function of the central air conditioner in the office building is realized, the intelligent degree of the central air conditioner in the office building is improved, and the experience of personnel in the office building on the central air conditioner is met.
S4, monitoring personnel distribution: the personnel distribution condition in each subregion in the office building is monitored through the personnel distribution monitoring module respectively, the personnel quantity in each subregion in the office building is counted, and the personnel distribution density in each subregion in the office building is calculated.
In this embodiment, in step S4, the distribution of people in each sub-area in the office building is monitored by the thermal imaging monitor, so as to obtain the number of people in the thermal imaging picture of each sub-area in the office building, and form a set X (X) of the number of people in each sub-area in the office building1,x2,...,xi,...,xn),xiExpressed as the number of people in the ith sub-zone in the office building.
In this embodiment, the calculation formula of the personnel distribution density in each sub-area in the office building isρiExpressed as the distribution density of persons in the ith sub-area, V, of an office buildingmaxExpressed as the maximum working range volume of the outlet in the central air conditioner.
Specifically, the number of personnel in each sub-area in the office building is monitored, and the distribution density of the personnel in each sub-area in the office building is analyzed, so that the personnel distribution situation in each sub-area can be known in real time, and an instructive reference basis is provided for calculating the comprehensive variable-frequency operation power of the air-conditioning air outlet in each sub-area in a later stage.
S5, heat load release amount statistics: and respectively detecting the heat load release amount of each detection position in each subregion in the office building through a heat load detection module, and counting the heat load release amount of each detection position in each subregion in the office building.
In this embodiment, the step S5 includes the step of forming a set Q of heat load release amounts at each detection position in each subarea of the office buildingiB(Qib1,Qib2,...,Qibj,...,Qibm),QibjExpressed as the amount of heat load released at the jth test location in the ith sub-zone within the office building.
S6, acquiring air inlet and outlet temperature difference: the temperature difference acquisition module is used for respectively detecting the air outlet temperature and the air inlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building, and the air inlet and outlet temperature difference of the corresponding air conditioner air outlet in each sub-area in the office building is obtained through comparison.
In this embodiment, the step S6 includes the following steps:
s61, detecting the air outlet temperature of the corresponding air outlet in each sub-area in the office building respectively to form an air outlet temperature set T' A of the corresponding air outlet in each sub-area in the office buildingGo out(T1′aGo out,T2′aGo out,...,Ti′aGo out,...,Tn′aGo out),Ti′aGo outThe temperature is expressed as the air outlet temperature of the corresponding air conditioner air outlet in the ith sub-area in the office building;
s62, respectively detecting the air inlet temperature of the corresponding air-conditioning outlet in each sub-area in the office building to form an air inlet temperature set T' A of the corresponding air-conditioning outlet in each sub-area in the office buildingInto(T1′aInto,T2′aInto,...,Ti′aInto,...,Tn′aInto),Ti′aGo outThe temperature is expressed as the inlet air temperature of the corresponding air-conditioning outlet in the ith sub-area in the office building;
s63, comparing the air outlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building with the air inlet temperature of the corresponding air conditioner air outlet to obtain the air outlet temperature of the corresponding air conditioner air outlet in each sub-area in the office buildingAir inlet and outlet temperature difference set delta T' (delta T) corresponding to air conditioner air outlet1′,ΔT2′,...,ΔTi′,...,ΔTn′),ΔTi' is expressed as the temperature difference of inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office building.
Specifically, the invention provides reliable reference data for calculating the comprehensive variable-frequency operating power of the air-conditioning outlets in each sub-area in the later period by detecting the heat load release amount at each detection position in each sub-area in the office building and the air inlet and outlet temperature difference of the corresponding air-conditioning outlet in each sub-area in the office building.
S7, frequency conversion power adjustment and analysis: the analysis server extracts the rated power of the central air-conditioning air outlet in the office building stored in the storage database when the central air-conditioning air outlet works normally and the standard heat load release amount which can be adjusted when the central air-conditioning air outlet works normally, calculates the comprehensive variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building, and respectively adjusts and controls the corresponding variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building through the cloud central control platform.
In this embodiment, the calculation formula of the comprehensive variable-frequency operating power of the air-conditioning outlet corresponding to each sub-area in the office building isWiExpressed as the comprehensive variable frequency operating power, W, of the corresponding air-conditioning outlet in the ith sub-area in the office buildingIs justExpressed as the rated operating power of the central air-conditioning air outlet in the office building when in normal operation, mu expressed as the influence coefficient of the heat load release amount on the operating power of the air-conditioning air outlet, QibjExpressed as the heat load release amount, Q, at the jth detection position in the ith sub-area in the office buildingIs normalExpressed as the standard heat load release amount which can be adjusted when the central air conditioner works normally, alpha and beta are respectively expressed as the weight of the influence proportion corresponding to the distribution density of personnel and the temperature difference of inlet and outlet air, rhoiExpressed as the personnel distribution density, Δ T, in the ith subregion within the office buildingi' is expressed as the temperature difference, T, of the inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office buildingibjExpressed as the temperature at the jth sensing location in the ith sub-zone within the office building.
Specifically, the comprehensive variable-frequency operating power of the corresponding air-conditioning air outlet in each sub-area in the office building is calculated, and the corresponding variable-frequency operating power is regulated, so that the operating power of the air-conditioning air outlet is regulated in real time, the problem of unnecessary waste of electric energy resources is solved, the utilization rate of the electric energy resources is improved, the operating cost of each enterprise in the office building is reduced, and the energy-saving and electricity-saving effects of the central air conditioner are better embodied.
Referring to fig. 2, the area division module is connected to the temperature detection module, the temperature analysis module is connected to the temperature detection module and the cloud central control platform, and the analysis server is connected to the personnel distribution monitoring module, the temperature difference acquisition module, the heat load detection module, the storage database and the cloud central control platform.
A computer storage medium is provided, wherein a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the intelligent control regulation and control method for the central air conditioner is realized.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. An intelligent control regulation and control method for a central air conditioner is characterized by comprising the following steps: the method comprises the following steps:
s1, dividing areas in the office building: dividing areas in the office building through an area dividing module, dividing the areas into sub-areas according to the maximum working range of a central air-conditioning air outlet in the office building, and numbering the sub-areas in sequence according to a set sequence;
s2, detecting the temperature in the office building: respectively detecting the temperature of each detection position in each subregion in the office building through a temperature detection module, and comprehensively calculating the average temperature of the regions in the office building;
s3, temperature analysis in the office building: the temperature difference between the inside and the outside of the office building is obtained through the comparison of the temperature analysis module, the temperature difference between the inside and the outside of the office building is compared with a set temperature difference threshold, and if the temperature difference between the inside and the outside of the office building is greater than or equal to the set temperature difference threshold, a central air conditioner in the office building is controlled to be started through the cloud central control platform;
s4, monitoring personnel distribution: monitoring the personnel distribution condition in each sub-area in the office building through a personnel distribution monitoring module, counting the personnel number in each sub-area in the office building, and calculating the personnel distribution density in each sub-area in the office building;
s5, heat load release amount statistics: respectively detecting the heat load release amount of each detection position in each sub-area in the office building through a heat load detection module, and counting the heat load release amount of each detection position in each sub-area in the office building;
s6, acquiring air inlet and outlet temperature difference: respectively detecting the air outlet temperature and the air inlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building through a temperature difference acquisition module, and comparing to obtain the air inlet and outlet temperature difference of the corresponding air conditioner air outlet in each sub-area in the office building;
s7, frequency conversion power adjustment and analysis: the analysis server extracts the rated power of the central air-conditioning air outlet in the office building stored in the storage database when the central air-conditioning air outlet works normally and the standard heat load release amount which can be adjusted when the central air-conditioning air outlet works normally, calculates the comprehensive variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building, and respectively adjusts and controls the corresponding variable frequency operation power of the air-conditioning air outlet corresponding to each sub-area in the office building through the cloud central control platform.
2. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: the step S2 includes the following steps:
s21, randomly arranging a plurality of detection points in each subarea in the office building according to the arrangementSequentially numbering the positions in sequence to form a detection position number set A in each sub-area in the office buildingiB(aib1,aib2,...,aibj,...,aibm),aibjExpressed as the jth detection position number in the ith sub-area in the office building;
s22, detecting the temperature of each detection position in each sub-area in the office building through the first temperature sensor respectively to form a temperature set T of each detection position in each sub-area in the office buildingiB(Tib1,Tib2,...,Tibj,...,Tibm),TibjExpressed as the temperature at the jth detection position in the ith subarea in the office building;
s23, comprehensively calculating the average temperature of the area in the office building The average temperature of the area in the office building is represented, n is the total number of sub-areas divided in the office building, and m is the number of detection points distributed in the ith sub-area in the office building.
3. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: in step S3, the real-time temperature outside the office building is detected by the second temperature sensor, and the average temperature of the area inside the office building is compared with the real-time temperature outside the office building, so as to obtain the temperature difference between the inside of the office building and the outside of the office building.
4. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: in the step S4, the distribution condition of the personnel in each sub-area in the office building is monitored through the thermal imaging monitor, the quantity of the personnel in the thermal imaging picture of each sub-area in the office building is obtained, and each sub-area in the office building is formedSet of number of people in sub-region X (X)1,x2,...,xi,...,xn),xiExpressed as the number of people in the ith sub-zone in the office building.
5. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: the calculation formula of the personnel distribution density in each subregion in the office building isρiExpressed as the distribution density of persons in the ith sub-area, V, of an office buildingmaxExpressed as the maximum working range volume of the outlet in the central air conditioner.
6. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: the step S5 includes the steps of forming a set Q of heat load release amounts at each detected position in each subarea in the office buildingiB(Qib1,Qib2,...,Qibj,...,Qibm),QibjExpressed as the amount of heat load released at the jth test location in the ith sub-zone within the office building.
7. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: the step S6 includes the following steps:
s61, detecting the air outlet temperature of the corresponding air outlet in each sub-area in the office building respectively to form an air outlet temperature set T' A of the corresponding air outlet in each sub-area in the office buildingGo out(T1′aGo out,T′2aGo out,...,Ti′aGo out,...,T′naGo out),Ti′aGo outThe temperature is expressed as the air outlet temperature of the corresponding air conditioner air outlet in the ith sub-area in the office building;
s62, and respectively detecting the inlet air temperature of the corresponding air-conditioning outlet in each subarea in the office buildingForm an inlet air temperature set T' A corresponding to the air outlet of the air conditioner in each sub-area in the office buildingInto(T1′aInto,T′2aInto,...,Ti′aInto,...,T′naInto),Ti′aGo outThe temperature is expressed as the inlet air temperature of the corresponding air-conditioning outlet in the ith sub-area in the office building;
s63, comparing the air outlet temperature of the corresponding air conditioner air outlet in each sub-area in the office building with the air inlet temperature of the corresponding air conditioner air outlet to obtain an air inlet and outlet temperature difference set delta T' (delta T) of the corresponding air conditioner air outlet in each sub-area in the office building1′,ΔT′2,...,ΔTi′,...,ΔT′n),ΔTi' is expressed as the temperature difference of inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office building.
8. The intelligent control and regulation method of the central air conditioner according to claim 1, characterized in that: the calculation formula of the comprehensive variable-frequency operating power of the corresponding air-conditioning air outlet in each sub-area in the office building isWiExpressed as the comprehensive variable frequency operating power, W, of the corresponding air-conditioning outlet in the ith sub-area in the office buildingIs justExpressed as the rated operating power of the central air-conditioning air outlet in the office building when in normal operation, mu expressed as the influence coefficient of the heat load release amount on the operating power of the air-conditioning air outlet, QibjExpressed as the heat load release amount, Q, at the jth detection position in the ith sub-area in the office buildingIs normalExpressed as the standard heat load release amount which can be adjusted when the central air conditioner works normally, alpha and beta are respectively expressed as the weight of the influence proportion corresponding to the distribution density of personnel and the temperature difference of inlet and outlet air, rhoiExpressed as the personnel distribution density, Δ T, in the ith subregion within the office buildingi' is expressed as the temperature difference, T, of the inlet and outlet air of the corresponding air-conditioning outlet in the ith sub-area in the office buildingibjExpressed as the temperature at the jth detection position in the ith sub-area in the office building。
9. The utility model provides a central air conditioning intelligent control regulation and control system which characterized in that: the area division module is connected with the temperature detection module, the temperature analysis module is respectively connected with the temperature detection module and the cloud central control platform, and the analysis server is respectively connected with the personnel distribution monitoring module, the temperature difference acquisition module, the heat load detection module, the storage database and the cloud central control platform.
10. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, and when the computer program runs in a memory of a server, the intelligent control regulation and control method of the central air conditioner as claimed in any one of claims 1 to 8 is realized.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110727483.5A CN113503622A (en) | 2021-06-29 | 2021-06-29 | Intelligent control regulation and control method and system for central air conditioner and computer storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110727483.5A CN113503622A (en) | 2021-06-29 | 2021-06-29 | Intelligent control regulation and control method and system for central air conditioner and computer storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113503622A true CN113503622A (en) | 2021-10-15 |
Family
ID=78010901
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110727483.5A Pending CN113503622A (en) | 2021-06-29 | 2021-06-29 | Intelligent control regulation and control method and system for central air conditioner and computer storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113503622A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114738973A (en) * | 2022-03-31 | 2022-07-12 | 青岛海尔空调器有限总公司 | Office position air supply control method, electronic equipment and office position |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090028062A (en) * | 2007-09-13 | 2009-03-18 | 엘지전자 주식회사 | Air flow control method of air conditioner |
WO2016169401A1 (en) * | 2015-04-21 | 2016-10-27 | 广州汇安科技有限公司 | Two-dimensional dynamic air supply and energy saving system of data center and control method thereof |
CN207849670U (en) * | 2018-01-09 | 2018-09-11 | 深圳市宝智达科技有限公司 | A kind of central air-conditioning frequency-changing control system based on big data analysis |
CN109210683A (en) * | 2018-09-12 | 2019-01-15 | 珠海格力电器股份有限公司 | Control method for air conditioning unit used in public area and air conditioning unit |
CN110553348A (en) * | 2019-08-19 | 2019-12-10 | 武汉世纪楚林科技有限公司 | Energy-saving optimization method and device for central air conditioner, terminal equipment and storage medium |
CN111473465A (en) * | 2020-04-20 | 2020-07-31 | 宁波奥克斯电气股份有限公司 | Air conditioner control method and device and air conditioner |
CN212320021U (en) * | 2020-05-20 | 2021-01-08 | 河南中烟工业有限责任公司 | Intelligent combined control system of modular cold and hot water air conditioning unit |
CN112594874A (en) * | 2020-12-15 | 2021-04-02 | 南京岁卞智能设备有限公司 | Central air-conditioning system energy-saving control system based on thermal imaging and big data technology |
-
2021
- 2021-06-29 CN CN202110727483.5A patent/CN113503622A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090028062A (en) * | 2007-09-13 | 2009-03-18 | 엘지전자 주식회사 | Air flow control method of air conditioner |
WO2016169401A1 (en) * | 2015-04-21 | 2016-10-27 | 广州汇安科技有限公司 | Two-dimensional dynamic air supply and energy saving system of data center and control method thereof |
CN207849670U (en) * | 2018-01-09 | 2018-09-11 | 深圳市宝智达科技有限公司 | A kind of central air-conditioning frequency-changing control system based on big data analysis |
CN109210683A (en) * | 2018-09-12 | 2019-01-15 | 珠海格力电器股份有限公司 | Control method for air conditioning unit used in public area and air conditioning unit |
CN110553348A (en) * | 2019-08-19 | 2019-12-10 | 武汉世纪楚林科技有限公司 | Energy-saving optimization method and device for central air conditioner, terminal equipment and storage medium |
CN111473465A (en) * | 2020-04-20 | 2020-07-31 | 宁波奥克斯电气股份有限公司 | Air conditioner control method and device and air conditioner |
CN212320021U (en) * | 2020-05-20 | 2021-01-08 | 河南中烟工业有限责任公司 | Intelligent combined control system of modular cold and hot water air conditioning unit |
CN112594874A (en) * | 2020-12-15 | 2021-04-02 | 南京岁卞智能设备有限公司 | Central air-conditioning system energy-saving control system based on thermal imaging and big data technology |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114738973A (en) * | 2022-03-31 | 2022-07-12 | 青岛海尔空调器有限总公司 | Office position air supply control method, electronic equipment and office position |
CN114738973B (en) * | 2022-03-31 | 2023-12-15 | 青岛海尔空调器有限总公司 | Office position air supply control method, electronic equipment and office position |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109800066B (en) | Energy-saving scheduling method and system for data center | |
CN106949598B (en) | Network center's machine room energy-saving optimization method when network traffic load changes | |
CN110864414A (en) | Air conditioner power utilization load intelligent control scheduling method based on big data analysis | |
CN107192097A (en) | Control method and device for air-conditioning chilled water system | |
US20040220702A1 (en) | Energy management system | |
CN104121666B (en) | For central air-conditioning wind system by time frequency conversion air feed system and control method | |
CN105320184B (en) | Building Indoor Environment intelligent monitor system | |
CN106979588A (en) | The energy-saving management system and administration of energy conservation method of a kind of air conditioner in machine room energy consumption | |
JP2009204188A (en) | Environment control system | |
CN106091270B (en) | Central air conditioner system cooling load prediction method and device based on networked door access control system | |
JP5236177B2 (en) | Environmental control system | |
CN105940584A (en) | Demand control device and program | |
CN108510100A (en) | A kind of energy optimization management implementation method of the intelligent building based on correlation rule | |
CN105444346A (en) | Data central machine room management and control system and method | |
CN109974218A (en) | A kind of multi-online air-conditioning system regulation method based on prediction | |
CN111197846A (en) | Self-adaptive adjusting method and system for cold and heat load in building | |
CN111306728A (en) | Air volume regulating and controlling method and device for air conditioning system and computer equipment | |
CN113503622A (en) | Intelligent control regulation and control method and system for central air conditioner and computer storage medium | |
CN108302739B (en) | Temperature adjusting system and temperature adjusting method | |
CN115407813A (en) | Indoor modularization transformer substation energy-saving optimization system based on distributed air conditioner | |
WO2018132618A1 (en) | Environmental control system and method for automatically adjusting operating parameters | |
CN113991667A (en) | Building load fine perception regulation and control method and system | |
CN211526662U (en) | Subway station ventilation air conditioner economizer system based on load prediction | |
CN211667970U (en) | Power supply diagnosis and alarm device based on air conditioning energy control of communication machine room | |
JP2004234302A (en) | Process management device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211015 |