CN107559944B - A method of identification central heating system shaping modes - Google Patents
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Abstract
The present invention relates to a kind of methods for identifying central heating system shaping modes, propose a set of data mining model that can be applied to the existing runing adjustment strategy identification of central heating system secondary water-supply temperature, by to primary side parameter, the Conjoint Analysis such as secondary side parameter and meteorologic parameter, obtaining secondary water-supply temperature includes follow-up adjustment, the actively conclusion in relation to adjusting strategy such as adjusting, secondary side influence.It solves the problem of to compare previous methods strong operability due to the not comprehensive caused strategy identification deviation of the not perfect parameter of method in identification process, it is with a high credibility, it handles rapidly, digitized degree is high.Conclusion is intuitive and reliable, is not easy to cause deviation.
Description
Technical field
The present invention relates to a kind of data mining models for identifying central heating system runing adjustment mode, more particularly to identification
The data mining model of secondary water-supply temperature runing adjustment strategy in heating system belongs to heat supply process optimization and building energy conservation neck
Domain.
Background technique
In recent years, northern cities and towns heating energy consumption is according to remaining high, one of the main reasons for this is that heating system runing adjustment plan
Formulation slightly is unreasonable or executes not stringent caused heating system inefficiency.As the most important adjusting of central heating system
Parameter, the secondary water-supply temperature of heat exchange station have very important in terms of ensureing heat user heating demand and fining heating according to need
Effect.Therefore, the existing runing adjustment strategy for grasping secondary water-supply temperature is optimization heating system heat supply efficiency, to heat supply system
System carries out the basis of fault diagnosis.But each heat exchange station administrative staff professional knowledge is usually less, and operation is lack of standardization, executes not tight
Lattice empirically adjust and all cause the actual motion strategy of secondary water-supply temperature and be difficult to obtain.Traditional secondary water-supply temperature fortune
Row strategy method for digging is simple, and reference data is single, and to data demand harshness, factors above all leads to conclusion confidence level
It is low.
The existing runing adjustment strategy of central heating system secondary water-supply temperature in order to obtain is needed using more comprehensively data
And more professional reliable method for digging.It is available to imply heat supply system with the smooth development of heat metering improvement project
The heating operation number of the bulk informations such as the actual characteristic, system operation conditions of equipment in system, system maintenance maintenance and operation note
According to these data are often multidimensional, comprising time attribute.In recent years, data mining research and development is very fast, it is processing sea
The complicated algorithm of amount data is integrated in traditional data analysing method, so as to excavate useful knowledge from data, with number
According to gradualling mature for digging technology, available more professional reliable data digging method.Utilize Data Mining Tools, identification
The data mining model of central heating system runing adjustment mode, it will certain reform and wound are brought to heat supply running industry
Newly.
Summary of the invention
It is an object of the invention to overcome the shortcomings of in previous analysis method, proposing a set of can be applied to central heating
The data mining model of the existing runing adjustment strategy identification of secondary system supply water temperature, by primary side parameter, secondary side ginseng
The Conjoint Analysis such as several and meteorologic parameter, obtaining secondary water-supply temperature includes that follow-up adjustment, active adjusting, secondary side influence etc. have
Close the conclusion for adjusting strategy.It solves in identification process since method is not perfect, the not comprehensive caused strategy identification of parameter is inclined
The problem of difference compares previous methods strong operability, with a high credibility, and rapidly, digitized degree is high for processing.
Technical scheme is as follows:
A method of identification central heating system shaping modes；Specific step is as follows:
1, using the universal method in time series analysis field --- auto-correlation function probability chart method examines secondary water-supply
Whether temperature changes, and judges whether time series is steady according to the feature of figure, as a result Simple visual；When system uses constant two
When the strategy operation of secondary supply water temperature, time series belongs to stationary time series, and auto-correlation function value is with lag number at this time
Increase, decline quickly and tend to 0；
2, correlation analysis is carried out on the basis of judging whether secondary water-supply temperature keeps constant, and judges first and second confession
Whether coolant-temperature gage is related；Related if 0.3 < correlation≤1, otherwise the two is unrelated；
If 3, secondary water-supply temperature is constant and unrelated with a supply water temperature, can obtain adjusting strategy being " secondary water-supply
Temperature is kept temperature-resistant from main regulation " conclusion；
If 4, secondary water-supply temperature change and first and second supply water temperature is unrelated, to secondary water-supply temperature and a flow
Carry out correlation analysis；Available at this time " secondary water-supply temperature is related with a flow " (0.8≤correlation≤1), " with two
Secondary side relating to parameters " (0 < correlation < 0.3), three kinds of " with a flow and secondary side relating to parameters " (0.3≤correlation < 0.8)
Possible adjusting strategy；
If 5, first and second supply water temperature is related, no matter whether secondary water-supply temperature changes, partial correlation point is all further done
Analysis controls a supply water temperature, judges the relationship between secondary water-supply temperature and outdoor temperature；When 0.3≤partial correlation value≤1
When, then secondary water-supply temperature is related with outdoor temperature, otherwise unrelated；
It is related to a flow progress to secondary water-supply temperature if 6, unrelated between secondary water-supply temperature and outdoor temperature
Property analysis, it is available " secondary water-supply temperature is related with a flow " (0.8≤correlation≤1)；" have with secondary side parameter
Close " (0 < correlation < 0.3)；" with a flow and secondary side relating to parameters " (0.3≤correlation < 0.8) three kinds of possible adjustings
Strategy；Secondary side parameter includes secondary flow, secondary return water temperature etc.；The above 1-6 is as shown in Figure 1；
If 7, secondary water-supply temperature and outdoor temperature are related, correlation analysis is done to secondary water-supply temperature and a flow；
Available " secondary water-supply temperature is with the servo-actuated variation of a supply water temperature " (0 < correlation < 0.3)；It is " servo-actuated with a supply water temperature
Variation, related with a flow " (0.8≤correlation≤1)；" with the servo-actuated variation of supply water temperature, with a flow and secondary
The possible adjusting strategy of three kinds of side relating to parameters " (0.3≤correlation < 0.8)；As shown in Figure 2；
If 8, secondary water-supply temperature is related with a flow, correlation analysis is done to a flow and outdoor temperature, excavates two
The relevance of person, if 0.3≤correlation≤1, the two is related, otherwise unrelated；
If 9, a flow and outdoor temperature are related, to a flow, secondary water-supply temperature and outdoor temperature three are done
Partial Correlation Analysis；Outdoor temperature is controlled, the correlation of a flow and secondary water-supply temperature is calculated；Available " secondary water-supply
Temperature is with the servo-actuated variation of a flow " (0.3≤correlation≤1)；" according to a flow from main regulation, and a flow and room
Outer temperature is related " (0 < correlation < 0.3) two kinds of possible adjusting strategies；
If 10, a flow is unrelated with outdoor temperature, available " secondary water-supply temperature is according to a flow from homophony
The adjusting strategy of section "；
If 11, obtaining secondary water-supply temperature with the servo-actuated variation of a flow or from the conclusion of main regulation, further sentence
The correlation of disconnected a flow and time；It is available " according to flow of time adjustment, secondary water-supply temperature by calculating correlation
Degree is with the servo-actuated variation of flow or from main regulation " (0.3≤correlation≤1) and " secondary water-supply temperature with a flow with
Move variation or from main regulation, one time flow had nothing to do with other factors " (0 < correlation < 0.3) two kinds of possible adjustings strategies.With
Upper 8-11 is as shown in Figure 3.
Compared with prior art, the present invention having the advantage that
1, it is analyzed using a variety of data digging methods, overcomes the previous deficiency using single method analysis.And needle
To different situations, the method being more suitable is selected to be analyzed.Conclusion is intuitive and reliable, is not easy to cause deviation.
2, using the method for multivariable association analysis, the available accurate conclusion in relation to adjusting strategy is with a high credibility.Mesh
The data that preceding heating system is monitored include supply and return water temperature, pressure, system maintenance maintenance and the behaviour of heat source, heat supply network and heat exchange station
The data such as note down and the room temperature of user end, set temperature, valve state, accumulation heat, flow, supply and return water temperature, room
The parameters such as outer meteorology, and used monitoring system be usually by by when or by half an hour as unit of record data.One
Aspect, these data are a large amount of and comprehensive, make full use of these information, so that the operation reserve of system is obtained, it is undoubtedly optimal
Scheme.On the other hand, past in collected data due to being influenced by measurement means, sensor stability and measurement accuracy
It toward there is missing, mistake, the data of exception, therefore only relies on single data and is analyzed, conclusion is easy to produce deviation.It is supplying
In hot systems, secondary water-supply temperature suffers from the influence of other multiple variables, including primary side supply water temperature, a flow,
Secondary flow, meteorologic parameter, time factor and secondary side other parameters etc..By other parameters from different perspectives to being identified
Secondary water-supply temperature runing adjustment strategy is verified, and accuracy is high.
Detailed description of the invention
Fig. 1: the main conclusions in relation to adjusting strategy can be obtained in data analysis flowcharts of the invention.
Fig. 2: secondary water-supply temperature adjusting strategy that may be present in situation related with outdoor temperature.
Fig. 3: two supply water temperatures adjusting strategy that may be present in situation related with a flow.
Specific embodiment
Example of the invention is as follows, and but it is not limited to this, and all similar replacements and change are to those skilled in the art
For be it will be apparent that they are considered as being included in spirit of that invention, range and content.
Example 1:
1, the genial area the Yuan Di heat exchange station in dim season Tianjin Hexi District is adopted using 2015-2016 to be analyzed for dsc data,
Secondary water-supply temperature is examined using auto-correlation function probability chart method first it is found that the heat exchange station takes the adjusting of secondary side matter
Operation reserve.
2, the correlation for calculating first and second supply water temperature, obtains correlation=0.4, i.e. first and second supply water temperature is related.
3, due to secondary water-supply temperature change and related with a supply water temperature, step 3 situation is not present in this example.
4, step 4 situation is not present in this example.
5, partial Correlation Analysis is further done, a supply water temperature is controlled, is calculated between secondary water-supply temperature and outdoor temperature
Correlation, obtain correlation=0.5, i.e. secondary water-supply temperature is related with outdoor temperature.
6, the correlation for calculating secondary water-supply temperature and a flow, obtains correlation=0.8, i.e., secondary water-supply temperature with
Supply water temperature variation, it is related with a flow.
7, since secondary water-supply temperature and outdoor temperature are related, step 6 situation is not present in this example.
8, the correlation for calculating a flow and outdoor temperature, obtains correlation=0.6, i.e. a flow and outdoor temperature
It is related.
9, outdoor temperature is controlled, the correlation of a flow and secondary water-supply temperature is calculated, obtains correlation=0.2, i.e.,
One time flow is related with secondary water-supply temperature.
10, since a flow and outdoor temperature are related, step 10 is not present.
11, the correlation for calculating a flow and time, obtains correlation=0.6, i.e. a flow is related with the time.
The operation reserve that may finally obtain secondary water-supply temperature is: on the basis of variation servo-actuated with a supply water temperature
According to a flow from main regulation, and a flow is related with outdoor temperature, time change.
Example 2:
1, the dim season Tianjin Hexi District Rongcheng area Yuan Di heat exchange station is adopted using 2015-2016 to be analyzed for dsc data,
Secondary water-supply temperature is examined using auto-correlation function probability chart method first it is found that the heat exchange station takes the adjusting of secondary side matter
Operation reserve.
2, the correlation for calculating first and second supply water temperature, obtains correlation=0.5, i.e. first and second supply water temperature is related.
3, due to secondary water-supply temperature change and related with a supply water temperature, step 3 situation is not present in this example.
4, step 4 situation is not present in this example.
5, partial Correlation Analysis is further done, a supply water temperature is controlled, is calculated between secondary water-supply temperature and outdoor temperature
Correlation, obtain correlation=0.2, i.e. secondary water-supply temperature is unrelated with outdoor temperature.
6, the correlation for calculating secondary water-supply temperature and a flow, obtains correlation=0.2, i.e., secondary water-supply temperature with
Secondary side relating to parameters.
7, since secondary water-supply temperature is unrelated with outdoor temperature, step 7 situation is not present in this example.
8, since secondary water-supply temperature is unrelated with a flow, step 8 situation is not present in this example.
9, step 9 situation is not present in this example.
10, step 10 situation is not present in this example.
11, step 11 situation is not present in this example.
The operation reserve that may finally obtain secondary water-supply temperature is: on the basis with the servo-actuated variation of a supply water temperature
On, secondary side supply water temperature changes with the variation of secondary side parameter.
Example 3:
1, it adopts dim season Tianjin Hexi District Qumran garden heat exchange station using 2015-2016 to be analyzed for dsc data, first
Secondary water-supply temperature is examined using auto-correlation function probability chart method it is found that the heat exchange station takes the operation of secondary side matter adjusting
Strategy.
2, using data set 3, the correlation of first and second supply water temperature is calculated, obtains correlation=0.2, i.e., first and second supplies
Coolant-temperature gage is unrelated.
3, due to secondary water-supply temperature change and unrelated with a supply water temperature, step 3 situation is not deposited in this example
In.
4, the correlation for calculating secondary water-supply temperature and a flow, obtains correlation=0.9, i.e., secondary water-supply temperature with
One time flow is related.
5, step 5 situation is not present in this example.
6, step 6 situation is not present in this example.
7, step 7 situation is not present in this example.
8, the correlation for calculating a flow and outdoor temperature, obtains correlation=0.2, i.e. a flow and outdoor temperature
It is unrelated.
9, flow is unrelated with outdoor temperature due to one time, and step 9 situation is not present in this example.
10, available since a flow and outdoor temperature are related: secondary water-supply temperature according to flow from
Main regulation.
11, the correlation for calculating a flow and time, obtains correlation=0.5, i.e. a flow is related with the time.
The operation reserve that may finally obtain secondary water-supply temperature is: according to flow of time adjustment, secondary water-supply temperature
A flow is spent from main regulation.
A kind of method for identification central heating system shaping modes that the present invention is disclosed and proposed, those skilled in the art can
By using for reference present disclosure, the appropriate links such as condition route that change are realized, although method and technology of preparing of the invention has passed through
Preferred embodiment is described, related technical personnel obviously can not depart from the content of present invention, in spirit and scope to this
Methods and techniques route described in text is modified or reconfigures, to realize final technology of preparing.In particular
It is that all similar replacements and change are apparent to those skilled in the art, they are considered as being included in
In spirit of that invention, range and content.
Claims (1)
1. a kind of method for identifying central heating system shaping modes, it is characterized in that steps are as follows:
1) using the universal method in time series analysis field --- auto-correlation function probability chart method examines secondary water-supply temperature
Whether change, judges whether time series is steady according to the feature of figure；When system uses the strategy of constant secondary water-supply temperature
When operation, time series belongs to stationary time series, and auto-correlation function value declines simultaneously quickly with the increase of lag number at this time
Tend to 0；
2) correlation analysis is carried out on the basis of judging whether secondary water-supply temperature keeps constant, and is judged first and second for water temperature
It whether related spends；Related if 0.3 < correlation≤1, otherwise the two is unrelated；
If 3) secondary water-supply temperature is constant and unrelated with a supply water temperature, can obtain adjusting strategy being " secondary water-supply temperature
From main regulation, keep temperature-resistant " conclusion；
If 4) secondary water-supply temperature change and first and second supply water temperature is unrelated, secondary water-supply temperature and a flow are carried out
Correlation analysis obtains " secondary water-supply temperature is related with a flow ", 0.8≤correlation≤1 at this time；" with secondary side parameter
It is related ", 0 < correlation < 0.3；" with a flow and secondary side relating to parameters ", 0.3≤correlation < 0.8；
If 5) first and second supply water temperature is related, no matter whether secondary water-supply temperature changes, partial Correlation Analysis is all further done,
A supply water temperature is controlled, judges the relationship between secondary water-supply temperature and outdoor temperature；When 0.3≤partial correlation value≤1, then
Secondary water-supply temperature is related with outdoor temperature, otherwise unrelated；
If 6) unrelated between secondary water-supply temperature and outdoor temperature, correlation point is carried out to secondary water-supply temperature and a flow
Analysis, obtains " secondary water-supply temperature is related with a flow ", 0.8≤correlation≤1；" with secondary side relating to parameters ", 0 < related
Value < 0.3；" with a flow and secondary side relating to parameters ", 0.3≤correlation < 0.8；
If 7) secondary water-supply temperature is related with outdoor temperature, correlation analysis is done to secondary water-supply temperature and a flow；It obtains
" secondary water-supply temperature is with the servo-actuated variation of a supply water temperature ", 0 < correlation < 0.3；" change with a supply water temperature is servo-actuated, with
One time flow is related ", 0.8≤correlation≤1；" with the servo-actuated variation of a supply water temperature, have with a flow and secondary side parameter
Close ", 0.3≤correlation < 0.8；
Both if 8) secondary water-supply temperature is related with a flow, correlation analysis is done to a flow and outdoor temperature, excavate
Relevance, if 0.3≤correlation≤1, the two is related, otherwise unrelated；
If 9) flow is related with outdoor temperature, to a flow, secondary water-supply temperature and outdoor temperature three do inclined phase
Close analysis；Outdoor temperature is controlled, the correlation of a flow and secondary water-supply temperature is calculated, obtains that " secondary water-supply temperature is with one
The servo-actuated variation of secondary flow ", 0.3≤correlation≤1；" according to a flow from main regulation, and a flow has with outdoor temperature
Close ", 0 < correlation < 0.3；
It is available " secondary water-supply temperature according to a flow from main regulation " if 10) flow is unrelated with outdoor temperature
Adjusting strategy；
If 11) obtain secondary water-supply temperature with the servo-actuated variation of a flow or from the conclusion of main regulation, one is further judged
The correlation of secondary flow and time；Obtain that " according to flow of time adjustment, secondary water-supply temperature is with one by calculating correlation
The servo-actuated variation of secondary flow or from main regulation ", 0.3≤correlation≤1；" secondary water-supply temperature with the servo-actuated variation of flow or
Person is from main regulation, and one time flow has nothing to do with other factors ", 0 < correlation < 0.3.
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