CN107940668A - A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization - Google Patents
A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization Download PDFInfo
- Publication number
- CN107940668A CN107940668A CN201711037992.5A CN201711037992A CN107940668A CN 107940668 A CN107940668 A CN 107940668A CN 201711037992 A CN201711037992 A CN 201711037992A CN 107940668 A CN107940668 A CN 107940668A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- efficiency
- energy
- ventilation 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
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of public building heating ventilation air-conditioning system diagnostic method, comprise the following steps:Step 1:The input of data monitoring system collection heating ventilation air-conditioning system equipment, output signal, realize the function of monitoring in real time;Step 2:Data collecting system monitors the data of systematic survey by all kinds of instrument and sensor and gathered data of LAN or data/address bus the connection data monitoring system, the signal collected is subjected to analog/digital conversion, then stores the system ongoing basis collected operation data in the database by device type;Step 3:Establish corresponding statistical relationship of the system equipment basis operation data with each optimization aim;Step 4:By constantly adjusting system equipment operating parameter, optimization energy consumption of HVAC, system energy efficiency and personnel's comfort level, generate suitable system equipment operating parameter and corresponding system energy consumption, efficiency and personnel's comfort level optimum results.Using The method reduces building energy consumption.
Description
Technical field
It is more particularly to a kind of based on multiple-objection optimization the present invention relates to public building energy diagnosis and Heating,Ventilating and Air Conditioning technology
Public building heating ventilation air-conditioning system diagnostic method.
Background technology
In recent years, China air pollution, energy shortage the problems such as be subject to the extensive concern of the whole society.Many researchers refer to
Go out, building energy conservation potentiality are big, effect is direct, are the emphasis of energy conservation.In China, the unit area high energy consumption of public building,
It is fast to build area growth rate, is part of specific interest in Building Energy-saving Work.Therefore, the energy saving of public building is carried out
Work, to promoting economic sustainable development to be of great significance.
Mainly have currently for the method for public building energy diagnosis:OTI methods, i.e. observation/exchange-test/calculating-
Judgement/solution, diagnose involved link include building external envelope structure, fresh air system, air conditioner cold-heat source and distributing system,
Ventilating system;Energy-saving run plan is formulated according to the operating condition of actual measurement air-conditioning system, air-conditioning system diagnosis content mainly includes
Energy consumption system detection, Indoor Environment Detection, safety device detection, the inspection of operation maintenance management and the inspection of ageing equipment situation
Test;Establish based on the large public building System Energy Save Diagnosis model that energy efficiency of equipment index and system energy efficiency index are node, and
Point out to follow during system detectio is carried out " load condition all standing ", " run time all standing ", " covered entirely using equipment
" three all standings " principle of lid ";The principal element of analyzing influence Energy Consumption of Public Buildings, and emphatically to building heating ventilation air-conditioning system
Links carry out energy saving analysis, and specify that needs, according to specifically building situation itself, to reasonably select the method for operation, realizes optimization
Design etc..
Up to the present, existing building diagnosis method or system can not solve problems with:
First, the diagnostic process that public building quickly forms standardization can not be directed to;
2nd, using building energy consumption as simple target, thermal comfort and the Heating,Ventilating and Air Conditioning system of architecture indoor personnel are not taken into account
The efficiency of system.
The content of the invention
The shortcomings that it is an object of the invention to overcome prior art, there is provided one kind reduces building energy consumption, efficiency is built in raising,
Improve the public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization for interior personnel's comfort of knowing clearly.
The present invention is to be achieved through the following technical solutions:
A kind of public building heating ventilation air-conditioning system diagnostic method of the present invention, comprises the following steps:
Step 1:The input of data monitoring system collection heating ventilation air-conditioning system equipment, output signal, realize what is monitored in real time
Function;
Step 2:All kinds of instrument that data collecting system passes through LAN or data/address bus the connection data monitoring system
The data of table and sensor and gathered data monitoring systematic survey, analog/digital conversion is carried out by the signal collected, then will collection
By device type storage in the database, the database is used for equipment ongoing basis to the system ongoing basis operation data arrived
Storage, inquiry and the maintenance of data are run, and necessary data supporting is provided for ensuing multiple-objection optimization scheme;
Step 3:Using diagnostic analysis module, the basis operation data of system equipment are counted and analyzed, pass through system
The method learned is counted, from three energy consumption of HVAC, system energy efficiency and indoor occupant comfort level targets, establishes system
Equipment Foundations run corresponding statistical relationship of the data with each optimization aim;
Step 4:By multi-objective optimization algorithm, by constantly adjusting system equipment operating parameter, optimization Heating,Ventilating and Air Conditioning system
Unite energy consumption, system energy efficiency and personnel's comfort level, generate suitable system equipment operating parameter and corresponding system energy consumption,
Efficiency and personnel's comfort level optimum results.
The beneficial effects of the invention are as follows:A set of standardization flow and method for public building energy diagnosis is proposed, it is simultaneous
Architectural energy consumption amount and building efficiency, indoor occupant thermal comfort have been cared for, on the premise of personnel's comfort is met, has reduced building energy
Consumption, improves building efficiency.
Brief description of the drawings
Fig. 1 is a kind of flow chart of public building heating ventilation air-conditioning system diagnostic method of the present invention;
Fig. 2 is the monitoring object schematic diagram of the data monitoring system in the method shown in Fig. 1;
Fig. 3 is the diagnosis object delineation of the diagnostic analysis module in the method shown in Fig. 1.
Embodiment
Below in conjunction with the accompanying drawings, the embodiment of the present invention is described in detail.
The method of the present invention is the diagnostic method based on multiple-objection optimization for existing public building heating ventilation air-conditioning system.
Referring to attached drawing, a kind of public building heating ventilation air-conditioning system diagnostic method of the invention, comprises the following steps:
Step 1:The input of data monitoring system collection heating ventilation air-conditioning system equipment, output signal, realize what is monitored in real time
Function.
As shown in Fig. 2, the data monitoring system is directed to user end, collection wind turbine electric energy, rotation speed of fan, voltage, electricity
Stream, air quantity, air inlet fan wind pressure, blowing machine wind pressure, room humiture and room black ball temperature signal;The data monitoring system pin
To distributing system, collection water pump electric energy, pump motor rotating speed, voltage, electric current, flow, unit fixed on water pump suction pressure, outlet pressure, confession
Water conduit tube temperature signal and backwater main pipe temperature signal;The data monitoring system is directed to Cooling and Heat Source, collection compressor electric energy, pressure
Contracting machine rotating speed, voltage, electric current, cold water flow, cooling water flow, evaporator inflow temperature, leaving water temperature, condenser inflow temperature
Signal and leaving water temperature signal.
The input of heating ventilation air-conditioning system equipment, output signal come from measuring and testing device, the measuring and testing device bag
Humiture is included from instrument, black-bulb thermometer, flowmeter, anemobiagraph, Dan Wen is counted from instrument, dual temperature is counted from meter instrument and with transporting function
Multifunction electric meter.
Step 2:All kinds of instrument that data collecting system passes through LAN or data/address bus the connection data monitoring system
The data of table and sensor and gathered data monitoring systematic survey, analog/digital conversion is carried out by the signal collected, then will collection
By device type storage in the database, the database is used for equipment ongoing basis to the system ongoing basis operation data arrived
Storage, inquiry and the maintenance of data are run, and necessary data supporting is provided for ensuing multiple-objection optimization scheme.
The data collecting system can set collection period (year, month, day, hour, min, second etc.).
Step 3:Using diagnostic analysis module, the basis operation data of system equipment are counted and analyzed, pass through system
The method learned is counted, from three energy consumption of HVAC, system energy efficiency and indoor occupant comfort level targets, establishes system
Equipment Foundations run corresponding statistical relationship of the data with each optimization aim.
As shown in figure 3, energy consumption of HVAC refers to the terminal energy consumption of equipment, energy consumption type has electric energy, fuel oil, natural
Various forms of terminal energy consumptions then according to equivalent conversion factor, are uniformly converted to electric energy by gas and thermal energy etc., so can be so as to
In analyzing, comparing, system energy consumption value is acquired according to the collection period that data collecting system is set.The calculating of system energy efficiency with
Based on the efficiency for calculating each equipment, wherein the calculating of the actual efficiency of cold and hot source device is by equipment cooling capacity or heating load
Determined with two parameters of power consumption of compressor;The cold or heat and two parameters of electrical power consumption of water pump that the actual efficiency of water pump is conveyed by water pump
Determine;The cold or heat and two parameters of wind turbine power consumption that the actual efficiency of airhandling equipment is provided by equipment determine.Indoor people
Member's comfort level is weighed with PMV indexs, and specific calculation formula is referred to grid that PMV experiment regression equation calculations.
Step 4:By multi-objective optimization algorithm, by constantly adjusting system equipment operating parameter, optimization Heating,Ventilating and Air Conditioning system
Unite energy consumption, system energy efficiency and personnel's comfort level, generate suitable system equipment operating parameter and corresponding system energy consumption,
Efficiency and personnel's comfort level optimum results.
Claims (3)
1. a kind of public building heating ventilation air-conditioning system diagnostic method, it is characterised in that comprise the following steps:
Step 1:The input of data monitoring system collection heating ventilation air-conditioning system equipment, output signal, realize the function of monitoring in real time;
Step 2:Data collecting system by all kinds of instrument of LAN or data/address bus the connection data monitoring system and
The data of sensor and gathered data monitoring systematic survey, carry out analog/digital conversion by the signal that collects, then will collect
System ongoing basis operation data are stored in the database by device type, and the database is run for equipment ongoing basis
Storage, inquiry and the maintenance of data, and provide necessary data supporting for ensuing multiple-objection optimization scheme;
Step 3:Using diagnostic analysis module, the basis operation data of system equipment are counted and analyzed, pass through statistics
Method, from three energy consumption of HVAC, system energy efficiency and indoor occupant comfort level targets, establish system equipment
Run corresponding statistical relationship of the data with each optimization aim in basis;
Step 4:By multi-objective optimization algorithm, by constantly adjusting system equipment operating parameter, optimize heating ventilation air-conditioning system energy
Consumption, system energy efficiency and personnel's comfort level, generate suitable system equipment operating parameter and corresponding system energy consumption, efficiency
And personnel's comfort level optimum results.
2. public building heating ventilation air-conditioning system diagnostic method according to claim 1, it is characterised in that:The data monitoring
System is directed to user end, collection wind turbine electric energy, rotation speed of fan, voltage, electric current, air quantity, air inlet fan wind pressure, blowing machine wind pressure,
Room humiture and room black ball temperature signal;The data monitoring system is directed to distributing system, collection water pump electric energy, water pump electricity
Machine rotating speed, voltage, electric current, flow, unit fixed on water pump suction pressure, outlet pressure, believe for water conduit tube temperature signal and backwater main pipe temperature
Number;The data monitoring system is directed to Cooling and Heat Source, collection compressor electric energy, compressor rotary speed, voltage, electric current, cold water flow, cold
But water flow, evaporator inflow temperature, leaving water temperature, condenser inflow temperature signal and leaving water temperature signal.
3. the public building heating ventilation air-conditioning system diagnostic method according to claims 1 or 2, it is characterised in that:HVAC is empty
Various forms of terminal energy consumptions are uniformly converted to electrical energy system power consumption values by the calculating of adjusting system energy consumption according to equivalent conversion factor
The collection period set according to data collecting system is acquired;The calculating of system energy efficiency is to calculate the efficiency of each equipment as base
Plinth, wherein the calculating of the actual efficiency of cold and hot source device is determined by two parameters of equipment cooling capacity or heating load and power consumption of compressor
It is fixed;The cold or heat and two parameters of electrical power consumption of water pump that the actual efficiency of water pump is conveyed by water pump determine;Airhandling equipment is actual
The cold or heat and two parameters of wind turbine power consumption that efficiency is provided by equipment determine;Indoor occupant comfort level is carried out with PMV indexs
Weigh.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711037992.5A CN107940668A (en) | 2017-10-24 | 2017-10-24 | A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711037992.5A CN107940668A (en) | 2017-10-24 | 2017-10-24 | A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107940668A true CN107940668A (en) | 2018-04-20 |
Family
ID=61935833
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711037992.5A Pending CN107940668A (en) | 2017-10-24 | 2017-10-24 | A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107940668A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109542943A (en) * | 2018-11-28 | 2019-03-29 | 吉林建筑大学城建学院 | A kind of heat metering management service platform of central heating Internet of things system |
CN109751716A (en) * | 2019-02-26 | 2019-05-14 | 中国建筑科学研究院有限公司 | Wireless monitoring system and method for indoor heat regulation and control behaviors |
CN110161863A (en) * | 2019-06-11 | 2019-08-23 | 山东中建能源管理有限公司 | A kind of building electromechanical equipment system optimising and adjustment method |
CN111442499A (en) * | 2020-03-30 | 2020-07-24 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
CN111503838A (en) * | 2020-04-08 | 2020-08-07 | 中铁建电气化局集团第一工程有限公司 | Air conditioner ventilation optimizing system for public building |
CN112612316A (en) * | 2020-12-18 | 2021-04-06 | 北京首钢自动化信息技术有限公司 | Heating and ventilation equipment control method and device |
CN112781184A (en) * | 2019-11-11 | 2021-05-11 | 中国铁建电气化局集团有限公司 | Intelligent consumption reduction method and system for air conditioning system |
CN112781183A (en) * | 2019-11-07 | 2021-05-11 | 厦门邑通软件科技有限公司 | Intelligent consumption reduction method and system for air conditioning system and air conditioner |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102664960A (en) * | 2012-04-28 | 2012-09-12 | 广州中国科学院沈阳自动化研究所分所 | Energy consumption managing system and method for large-sized public building |
CN102721156A (en) * | 2012-06-30 | 2012-10-10 | 李钢 | Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof |
KR101275147B1 (en) * | 2011-12-08 | 2013-06-17 | 공주대학교 산학협력단 | User oriented apparatus and method for controlling temperature and humidity depends on predicted mean vote |
CN104573383A (en) * | 2015-01-23 | 2015-04-29 | 浙江大学 | Distributed evolution method suitable for comprehensive optimization model of building equipment |
US20160223214A1 (en) * | 2015-01-30 | 2016-08-04 | Larry A. Turner | Operational Constraint Optimization Apparatuses, Methods and Systems |
CN106249598A (en) * | 2016-09-26 | 2016-12-21 | 河海大学 | A kind of industrial large consumer efficiency optimal control method based on many agencies |
CN107062690A (en) * | 2017-05-10 | 2017-08-18 | 安徽新富地能源科技有限公司 | A kind of shallow layer ground-temperature energy energy management system |
-
2017
- 2017-10-24 CN CN201711037992.5A patent/CN107940668A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101275147B1 (en) * | 2011-12-08 | 2013-06-17 | 공주대학교 산학협력단 | User oriented apparatus and method for controlling temperature and humidity depends on predicted mean vote |
CN102664960A (en) * | 2012-04-28 | 2012-09-12 | 广州中国科学院沈阳自动化研究所分所 | Energy consumption managing system and method for large-sized public building |
CN102721156A (en) * | 2012-06-30 | 2012-10-10 | 李钢 | Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof |
CN104573383A (en) * | 2015-01-23 | 2015-04-29 | 浙江大学 | Distributed evolution method suitable for comprehensive optimization model of building equipment |
US20160223214A1 (en) * | 2015-01-30 | 2016-08-04 | Larry A. Turner | Operational Constraint Optimization Apparatuses, Methods and Systems |
CN106249598A (en) * | 2016-09-26 | 2016-12-21 | 河海大学 | A kind of industrial large consumer efficiency optimal control method based on many agencies |
CN107062690A (en) * | 2017-05-10 | 2017-08-18 | 安徽新富地能源科技有限公司 | A kind of shallow layer ground-temperature energy energy management system |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109542943A (en) * | 2018-11-28 | 2019-03-29 | 吉林建筑大学城建学院 | A kind of heat metering management service platform of central heating Internet of things system |
CN109751716A (en) * | 2019-02-26 | 2019-05-14 | 中国建筑科学研究院有限公司 | Wireless monitoring system and method for indoor heat regulation and control behaviors |
CN110161863A (en) * | 2019-06-11 | 2019-08-23 | 山东中建能源管理有限公司 | A kind of building electromechanical equipment system optimising and adjustment method |
CN112781183A (en) * | 2019-11-07 | 2021-05-11 | 厦门邑通软件科技有限公司 | Intelligent consumption reduction method and system for air conditioning system and air conditioner |
CN112781184A (en) * | 2019-11-11 | 2021-05-11 | 中国铁建电气化局集团有限公司 | Intelligent consumption reduction method and system for air conditioning system |
CN111442499A (en) * | 2020-03-30 | 2020-07-24 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
CN111503838A (en) * | 2020-04-08 | 2020-08-07 | 中铁建电气化局集团第一工程有限公司 | Air conditioner ventilation optimizing system for public building |
CN111503838B (en) * | 2020-04-08 | 2021-07-23 | 中铁建电气化局集团第一工程有限公司 | Air conditioner ventilation optimizing system for public building |
CN112612316A (en) * | 2020-12-18 | 2021-04-06 | 北京首钢自动化信息技术有限公司 | Heating and ventilation equipment control method and device |
CN112612316B (en) * | 2020-12-18 | 2022-05-20 | 北京首钢自动化信息技术有限公司 | Heating and ventilation equipment control method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107940668A (en) | A kind of public building heating ventilation air-conditioning system diagnostic method based on multiple-objection optimization | |
CN204693738U (en) | Air conditioner with separate hot pump actual motion energy efficiency detection system | |
CN100523635C (en) | Intelligent cluster control system of central air-conditioning | |
CN104570973B (en) | Method and device for enterprise energy management | |
CN104748327B (en) | A kind of public building air-conditioning efficiency diagnostic system based on power consumption data | |
CN102607143B (en) | Remote monitoring method and remote monitoring system for air conditioners of base stations | |
CN106931603A (en) | Central air conditioning cooling water system energy efficiency monitoring system based on technology of Internet of things | |
CN107314498A (en) | The efficiency on-line monitoring method and device of a kind of central air conditioner system | |
CN105973626A (en) | Evaluation and prediction method and apparatus for operation energy efficiency of host of central air-conditioning system | |
CN205279346U (en) | Energy efficiency ratio on -line monitoring device is carried to air conditioner water system based on DDC | |
CN105046595A (en) | Internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method | |
CN104456852A (en) | System and method for monitoring and evaluating operation of concentrated air conditioner refrigerating station | |
CN205717751U (en) | A kind of efficient control system of central air-conditioning Cooling and Heat Source machine room | |
CN201014677Y (en) | Central air-conditioning intelligent group control device | |
CN102095927A (en) | Energy-saving metering method for communication base station | |
CN108895717A (en) | A kind of energy-saving control method and system of soil source heat pump system | |
KR101024225B1 (en) | Total renewable energy monitering and management system with building energy management system, tbems | |
CN104089379A (en) | Method for assessing efficiency of underground powerhouse ventilating and air conditioning system | |
CN105115113A (en) | Energy efficiency optimizing system of central air-conditioner room | |
CN115493248A (en) | Intelligent diagnosis method and system for full life cycle of central air-conditioning system | |
CN101644588A (en) | Real-time monitoring and cooling capacity metering method and system for cooling loads of air conditioner end equipment | |
CN203837200U (en) | Central air-conditioner overall energy conservation control device | |
CN113743647A (en) | Data center energy consumption control system | |
CN211667970U (en) | Power supply diagnosis and alarm device based on air conditioning energy control of communication machine room | |
CN204438420U (en) | The monitoring and evaluation system that central air conditioning refrigerating plant room runs |
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 |
Application publication date: 20180420 |
|
RJ01 | Rejection of invention patent application after publication |