CN108266792A - It is a kind of to build the quick calculation method for representing temperature - Google Patents
It is a kind of to build the quick calculation method for representing temperature Download PDFInfo
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- CN108266792A CN108266792A CN201810059005.XA CN201810059005A CN108266792A CN 108266792 A CN108266792 A CN 108266792A CN 201810059005 A CN201810059005 A CN 201810059005A CN 108266792 A CN108266792 A CN 108266792A
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- room temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The present invention relates to the quick calculation methods that a kind of building represents temperature, this method calculates user's heat consumption weight a reference value according to previous user's heat consumption data, the thousands of user's room temperature come up by the acquisition of room temperature collector counts the occupancy rate of the building, after occupancy rate determines, occupancy rate will not change in short time, it can determine typical user's heat consumption weighted value, most of room temperature collector may be at off position at this time, only the room temperature collector of selection exemplary position user is in normally open, the room temperature of acquisition exemplary position user in real time, the building that reponse system heating effect can be obtained being capable of in real time represents temperature, while to provide reference frame for the heating effect of heat unit, it can also be used as value of feedback and correct heating system operation regulating strategy.The operation of exemplary position user's room temperature collector greatly reduces the cost of whole building room temperature collector operation, more economical efficient.
Description
Technical field
The present invention relates to heating effect feedback parameter computing technique field in a kind of heating system, particularly a kind of building generation
The quick calculation method of table temperature.
Background technology
Heating system regulates and controls whole system with reference to outdoor temperature and room temperature, and room temperature can be whole as feedback parameter
Reflect building heat supplying effect, correct heat supply controlling curve, optimization runing adjustment strategy, realize that optimization operational management, become more meticulous tune
The purpose of control；In terms of for primary net and heat source regulation and control, the prior art is mostly that rule of thumb user's room temperature data is integrally located
Reason, analysis, heavy workload, and timeliness is not high, while each room temperature collector is always at working condition, there are a large amount of energy
Source wastes.
Beijing University of Civil Engineering and Architecture is paid by force in article " residential area heating system the monitors and application study of regulation technology "
Strategy is adjusted using weather compensation and user's room temperature value of feedback control performance graph.It is different types of in central heating system to change
Heat stations set different types of control and regulation curve, while corresponding different meteorological datas compensate each adjusting control curve
It adjusts.In addition, by setting (setting can be changed to install) room temperature collector in heat supply user man, the real-time of user's room temperature is obtained
Value carries out second-order correction by the value of feedback of user's room temperature to controlling to adjust curve.The collection point of user's room temperature is placed respectively
Apart from heat exchange station it is remote, in, senior middle school's lower position of near residential housing floor, to feed back the heating effect of heat exchange station.The division
Entire cell is analyzed, for entire cell, will building according to the distance away from heat exchange station be divided into it is remote, in, it is near, it is right
In whole building, divided according to the height of architecture storey and represent temperature in order to which high, medium and low three parts solve, in user location
The characteristics of selection aspect is big there are data volume, and accuracy is low.
Invention content
The purpose of the present invention is to provide a kind of build to represent the quick calculation method of temperature, the method achieve it is quick,
It is accurate to correct the purpose of heat exchange station and heat source regulation and control curve in heating system.
The present invention technical solution be：
The step of a kind of build represents the quick calculation method of temperature, this method be：
The first step, setting typical user position：The characteristics of building being combined according to the factor for influencing building heat supplying effect, by this
Building regards the 3-D solid structure of rule as, to build in exterior wall, roof, ground, whether have adjacent four aspect of heat supply user
Condition is divided according to thing orientation, and all users of building are divided into six classes, user in respectively top margin user A, top
B, middle side user C, in middle user D, base user E and bottom user F, the top margin user A be two end subscribers of architectural top；
User B is the user among top layer in top；The base user E is two end subscribers for building bottom；User F is bottom in the bottom
The intermediate user of layer；Middle side user C is two end subscribers for building middle layer；In middle user D be middle layer middle part user；Then
N is chosen respectively from this six classes useriA user takes n as typical useriThe mean value of a user's room temperature is the room of typical user
Warm tin；
Per each typical user's room temperature data in class user, room temperature collector passes through net for second step, the acquisition of room temperature collector
Network connects heating system monitor supervision platform, and the room temperature data of each typical user is passed to heating system monitor supervision platform；
Third step, the heat consumption data according to previous heat supply user, each typical user position heat consumption is determined according to formula (1)
Weight reference values Xi,
In formula, i --- the position of six class users in the first step, the position for representing six class users of A~F successively is distinguished in i=1~6
It puts；
Qi--- the accumulative heat consumption of the typical user of position i, kWh；
4th step, the data acquired using heating system monitor supervision platform, obtain user moves in situation, calculates the building
Occupancy rate, and building occupancy rate is transmitted to next stage for calculating exemplary position weight added value；
5th step simulates same building to weighted value under different occupancy rates using DeST-h softwares, to weight a reference value into
Row is corrected, and corresponds to different correction values under different occupancy rates, which is weight added value, is then obtained further according to the 4th step
To the occupancy rate of building the exemplary position weight a reference value that third walks is modified, obtain exemplary position weight added value；
6th step is summed up using exemplary position weight a reference value and exemplary position weight added value and is calculated typical position
Put user's heat consumption weighted value；
7th step calculates building generation according to formula (2) using exemplary position user's heat consumption weighted value and typical user's room temperature
Table temperature represents temperature using building, corrects the operation of heat exchange station and regulating strategy in heating system；
In formula, X* i--- typical user's heat consumption weighted value of position i；
Tn --- building represents temperature, DEG C；
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention mainly calculates user's heat consumption weight a reference value according to previous user's heat consumption data, is adopted by room temperature
Thousands of user's room temperature that storage acquisition comes up counts the occupancy rate of the building, after occupancy rate determines, short time
Interior occupancy rate will not change, you can determine typical user's heat consumption weighted value, most of room temperature collector can be located at this time
In off position, only the room temperature collector of exemplary position user is selected to be in normally open, acquire exemplary position user in real time
Room temperature, the building that can obtain being capable of reponse system heating effect in real time according to formula (2) represents temperature, for for heat unit
While heating effect provides reference frame, it can also be used as value of feedback and correct heating system operation regulating strategy, to heat supply system
The optimization operation of system is of great importance.The operation of exemplary position user's room temperature collector greatly reduces whole building room temperature and adopts
The cost of storage operation, it is more economical efficient.
This method is run in heating system monitor supervision platform, is realized quick, efficient, the accurate building that calculates and is represented temperature
With to heat supply network intelligent control, it is mainly manifested in the regulation and control curve of the operation to heat exchange station in heating system and heat source and plays amendment work
With.
The advantages of the present invention are mainly reflected in two aspects：1st, the purpose of heat supply is to provide comfortable temperature ring to the user
Heating effect is evaluated in border relative to build heat consumption as standard, and representing temperature feedback system heating effect with building has more
Represent value；2nd, in building represents temperature computation method, mostly using averaging to the room temperature for building each user or right
For the room temperature of the high, medium and low layer choosing substitution table user of building as value of feedback, first method accuracy is high but needs accurately to adopt
Collect the room temperature data of all users, quantities is big；Second method quantities is smaller with respect to first method, but due to same
Floor makes the room temperature of user have apparent difference, and high, medium and low building due to outdoor wall and extraneous contact situation difference etc.
The data of layer have difference, acquire room temperature in this way and lack representativeness as feedback effects, and for heating network operation
Stability can have an impact.To sum up, the present invention (exists according to the outside environmental elements for influencing user indoor temperature difference with reference to each user
Whether have neighboring user and spatial position in building) user is divided into 6 quasi-representative positions, and consider to build different occupancy rates pair
The influence of building heat supplying effect, which is modified exemplary position weight a reference value, obtains exemplary position user's heat consumption weight, with reference to
Exemplary position user's room temperature is obtained building and represents temperature, and instant, the intuitive and accurate reponse system heating effect of energy is quick to correct
Run regulating strategy；Workload is small again, is conducive to the Stability and veracity of heating system.
The present invention carries out the weight a reference value of user under different occupancy rates using exemplary position user's weight a reference value
It corrects, obtains the weight correction value of exemplary position user under different occupancy rates, calculating building with reference to typical user's room temperature represents temperature
The algorithm of degree, accuracy is high, and workload is small, it is easy to accomplish, for the room temperature fast and efficiently according to the user that respectively heats in building
It calculates building and represents temperature to heat supply network intelligent control with substantial worth.
Description of the drawings
Fig. 1 is the flow chart for the quick calculation method that present invention building represents temperature.
Fig. 2 chooses schematic diagram for exemplary position user.
Specific embodiment
The present invention is explained further, but not in this, as to the application protection domain with reference to embodiment and attached drawing
It limits.
The step of a kind of build of the present invention represents the quick calculation method of temperature, this method be：
The first step, setting typical user position：The characteristics of building being combined according to the factor for influencing building heat supplying effect, by this
Building regards the 3-D solid structure of rule as, and residential housing Middle East west side user is similar in position, and peripheral structure is also identical,
All users of building are divided into six classes, user B in respectively top margin user A, top, middle side user C, in middle user D, base
User F in user E and bottom, the top margin user A are two end subscribers of architectural top；User B is the user among top layer in top,
Similarly, C, D, E, F are divided into building middle level and bottom, the base user E is two end subscribers for building bottom；In the bottom
User F is the user among bottom；Middle side user C be building middle part two end subscribers, top margin user A and base user E it
Between；In middle user D be user among middle part, in middle side user C, bottom in user F and top between user B；Then from this six
N is chosen respectively in class useriA user takes n as typical useriThe mean value of a user's room temperature is the room temperature t of typical userin；
Heat consumption can accurately reflect exterior wall, roof, ground and whether have influence of the adjacent heat supply user factor to user, be existed with building
Exterior wall, roof, ground, the condition that whether has four aspect of adjacent heat supply user are divided；
The room temperature data of second step, the acquisition of room temperature collector per each typical user in class user, room temperature collector pass through
The room temperature data of each typical user is passed to heating system monitor supervision platform by network connection data heating system monitor supervision platform,
Third step, the heat consumption according to previous heat supply user, each typical user's position weight benchmark is determined according to formula (1)
Value,
In formula, XiFor typical user's position heat consumption weight a reference value of position i, X hereiUtilize former years historical data
It acquires；I represents the position of six class users in the first step, i=1~6, and difference represents the position of six class users of A~F successively；QiFor
The accumulative heat consumption of the typical user of position i, kWh；
4th step, the data acquired using heating system monitor supervision platform, calculate user moves in situation, obtains the building
Occupancy rate, and building occupancy rate is transmitted to next stage for calculating exemplary position weight added value；
5th step is modified the weight a reference value under different occupancy rates using DeST-h softwares simulation same building,
Different correction values is corresponded under different occupancy rates, which is weight added value, is then built further according to what the 4th step obtained
The occupancy rate built is modified the exemplary position weight a reference value that third walks, and obtains exemplary position weight added value；
6th step is summed up using exemplary position weight a reference value and exemplary position weight added value and is calculated typical position
Put user's heat consumption weighted value, i.e. exemplary position user heat consumption weighted value=exemplary position weight a reference value+exemplary position power
Weight added value；
7th step calculates building generation according to formula (2) using exemplary position user's heat consumption weighted value and typical user's room temperature
Table temperature represents temperature using building, corrects the operation of heat exchange station and regulating strategy in heating system；
In formula, X* i--- typical user's heat consumption weighted value of position i；tinFor the room temperature of position i, DEG C；TnTo build generation
Table temperature, DEG C；When typical user's quantity is multiple in every class user, tinValue be multiple user's room temperatures mean value.
Heretofore described heating system monitor supervision platform refers to the epigynous computer section of heating system monitor supervision platform, above-mentioned meter
Calculation method is loaded in the heating system monitor supervision platform of heating system, is passed through processing to the data of acquisition, is realized that heating system is excellent
Change the purpose of regulation and control.
For the present invention using the data of room temperature collector acquisition, obtain user moves in situation, and situation is moved according to user
The occupancy rate of building is calculated, and building occupancy rate is transmitted to next stage for calculating exemplary position weight added value；According to
The occupancy rate of building, which is modified exemplary position weight a reference value, calculates exemplary position heat consumption weight added value, and by allusion quotation
Type position weight added value is transmitted to next stage for calculating exemplary position heat consumption weight；The exemplary position weight a reference value
Size depend on typical user position, exemplary position weight added value size is by building occupancy rate and exemplary position weight benchmark
Value calculates, and exemplary position weight a reference value and exemplary position weight added value calculate exemplary position user's heat consumption weight
Value, exemplary position user's heat consumption weighted value and exemplary position user's room temperature solve building and represent temperature,
In practical residential architecture, it is impossible to ensure the occupancy rate that user reaches 100%, therefore when certain user is in non-confession
During warm state, since the influence of housing heat-transfer can cause neighboring user heat consumption to increase；In neighboring user all in heating state
When, if occupancy rate is less than 100%, heating number of users is fewer, then each user is bigger to the contribution for building heat consumption, that is, leads
Family heat consumption weight of applying becomes larger.When whole users are all in heating state under construction, obtained user location heat consumption is weighed
Weight is a reference value of typical user's position heat consumption weight.Since the reduction of occupancy rate causes exemplary position heat consumption weight to become
Greatly, it just needs to be modified exemplary position heat consumption weight a reference value at this time, power when obtained correction value is low occupancy rate
Weight benchmark added value.
Embodiment 1
By taking the building building of certain cell as an example, which has 2 units, has 2 families per every layer of unit, residential building shares 6 layers, data
It is provided successively according to the sequence of A-F, each data correspond to a kind of user, rate into family 60%.It is calculated according to the method for the present invention
Heat consumption weight and building represent temperature, and concrete outcome see the table below：
It is 19.2 DEG C that the building, which is calculated, and represents temperature, and the building represents temperature (actual value is as 19.3 DEG C in practice
Seek the average value of user's (including atypia user location) room temperature used in building), it can be seen that the method for the present invention calculates
Data are reliable, simple and convenient, and calculation amount is small, have feasibility, can be suitably used for large-scale use.
The present invention does not address part and is suitable for the prior art.
Claims (1)
- The step of 1. a kind of build represents the quick calculation method of temperature, this method is：The first step, setting typical user position：The characteristics of combining building according to the factor for influencing building heat supplying effect, this is built The 3-D solid structure of rule is regarded as, to build in exterior wall, roof, ground, the condition for whether having adjacent four aspect of heat supply user Divided according to thing orientation, all users of building be divided into six classes, user B in respectively top margin user A, top, in Side user C, in middle user D, base user E and bottom user F, the top margin user A be two end subscribers of architectural top；In top User B is the user among top layer；The base user E is two end subscribers for building bottom；User F is in bottom in the bottom Between user；Middle side user C is two end subscribers for building middle layer；In middle user D be middle layer middle part user；Then from this N is chosen respectively in six class usersiA user takes n as typical useriThe mean value of a user's room temperature is the room temperature of typical user tin；Per each typical user's room temperature data in class user, room temperature collector is connected by network for second step, the acquisition of room temperature collector Heating system monitor supervision platform is connect, the room temperature data of each typical user is passed into heating system monitor supervision platform；Third walks, on the basis of previous user's heat consumption data, and each typical user's position weight a reference value is determined according to formula (1) Xi,In formula, i --- the position of six class users in the first step, the position for representing six class users of A~F successively is distinguished in i=1~6；Qi--- the accumulative heat consumption of the typical user of position i, kWh；4th step, the data acquired using heating system monitor supervision platform, counting user are moved in situation, calculate entering for the building Firmly rate, and building occupancy rate is transmitted to next stage for calculating exemplary position weight added value；5th step simulates same building to weighted value under different occupancy rates using DeST-h softwares, and weight a reference value is repaiied Just, different correction values is corresponded under different occupancy rates, which is weight added value, is then obtained further according to the 4th step The occupancy rate of building is modified the exemplary position weight a reference value that third walks, and obtains exemplary position weight added value；6th step, summed up using exemplary position weight a reference value and exemplary position weight added value calculate exemplary position use Family heat consumption weighted value；7th step represents temperature according to formula (2) using exemplary position user's heat consumption weighted value and typical user's room temperature calculating building Degree represents temperature using building, corrects the operation regulating strategy of heat exchange station and heat source in heating system；In formula, X* i--- typical user's heat consumption weighted value of position i；Tn--- building represents temperature, DEG C.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110736131A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | comprehensive room temperature determination method, device and system |
| CN110736132A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature stability determination method, device and system |
| CN110736133A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature balance degree determination method, device and system |
| CN110736130A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature deviation degree determination method, device and system |
| CN111578372A (en) * | 2020-05-29 | 2020-08-25 | 济南普赛通信技术有限公司 | Heating resident room temperature estimation method, system, medium and electronic equipment |
| CN112113269A (en) * | 2020-09-02 | 2020-12-22 | 天津大学 | Comprehensive indoor temperature calculation method based on building user classification |
| CN113701234A (en) * | 2021-08-31 | 2021-11-26 | 哈尔滨天达控制股份有限公司 | Intelligent control method, device and system for heat supply secondary network |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5674007A (en) * | 1994-03-09 | 1997-10-07 | Lg Electronics Inc. | Method for calculating PMV of air conditioning system |
| CN102721104A (en) * | 2012-06-11 | 2012-10-10 | 北京金房暖通节能技术有限公司 | Climate compensation algorithm and control method for supply water temperature of central heating system |
| CN106524295A (en) * | 2016-11-21 | 2017-03-22 | 北京建筑技术发展有限责任公司 | Regional building energy consumption predicting method |
-
2018
- 2018-01-22 CN CN201810059005.XA patent/CN108266792A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5674007A (en) * | 1994-03-09 | 1997-10-07 | Lg Electronics Inc. | Method for calculating PMV of air conditioning system |
| CN102721104A (en) * | 2012-06-11 | 2012-10-10 | 北京金房暖通节能技术有限公司 | Climate compensation algorithm and control method for supply water temperature of central heating system |
| CN106524295A (en) * | 2016-11-21 | 2017-03-22 | 北京建筑技术发展有限责任公司 | Regional building energy consumption predicting method |
Non-Patent Citations (2)
| Title |
|---|
| 孙春华，赵红霞，夏国强，朱宇光: "分户热计量地板供暖系统房间位置对室温及耗热量影响的研究", 《河北工业大学学报》 * |
| 孙春华: "热计量建筑用热模式与耗热量特性研究", 《工程II辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110736131A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | comprehensive room temperature determination method, device and system |
| CN110736132A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature stability determination method, device and system |
| CN110736133A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature balance degree determination method, device and system |
| CN110736130A (en) * | 2019-11-01 | 2020-01-31 | 北京硕人时代科技股份有限公司 | room temperature deviation degree determination method, device and system |
| CN111578372A (en) * | 2020-05-29 | 2020-08-25 | 济南普赛通信技术有限公司 | Heating resident room temperature estimation method, system, medium and electronic equipment |
| CN112113269A (en) * | 2020-09-02 | 2020-12-22 | 天津大学 | Comprehensive indoor temperature calculation method based on building user classification |
| CN113701234A (en) * | 2021-08-31 | 2021-11-26 | 哈尔滨天达控制股份有限公司 | Intelligent control method, device and system for heat supply secondary network |
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