CN104111272A - Error processing method for building enclosure structure thermal flux density collection system - Google Patents

Error processing method for building enclosure structure thermal flux density collection system Download PDF

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Publication number
CN104111272A
CN104111272A CN201410379901.6A CN201410379901A CN104111272A CN 104111272 A CN104111272 A CN 104111272A CN 201410379901 A CN201410379901 A CN 201410379901A CN 104111272 A CN104111272 A CN 104111272A
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value
heat flow
flow density
data
chip microcomputer
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程广河
郑晓势
韩路跃
孟庆龙
郝凤琦
张让勇
韩凌燕
孙祥
孙瑞瑞
王正伟
唐平
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Shandong Computer Science Center
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Shandong Computer Science Center
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Abstract

The invention relates to an error processing method for a building enclosure structure thermal flux density collection system. The error processing method comprises the following steps: a) constructing a thermal flux density collection platform; b) continuously acquiring n thermal flux density value data from a detected object through a thermal flux temperature sensor, and sending the data to a single-chip microcomputer; c) averagely classifying the n thermal flux density value data into N parts through the single-chip microcomputer, and obtaining the number m of the thermal flux density data of each group according to a formula m=n/N; d) calculating an arithmetic mean value Dj through the single-chip microcomputer according to a formula; e) performing arithmetic mean calculation on the N obtained arithmetic mean values Dj through the single-chip microcomputer so as to finally obtain a final thermal flux density value. An average error between the calculated final thermal flux density value and a real value is small. The interference caused by electromagnetic interference in an environment on thermal flow density data acquisition is avoided.

Description

The error processing method of architectural exterior-protecting construction heat flow density acquisition system
Technical field
The present invention relates to a kind of architectural exterior-protecting construction heat flow density acquisition method, be specifically related to a kind of error processing method of data filtering being processed to eliminate the architectural exterior-protecting construction heat flow density acquisition system of electromagnetic interference (EMI).
Background technology
Energy problem is one of four major problem of facing mankind, is the condition precedent of our times various countries sustainable development.Energy shortage is also the problem that countries in the world are particularly paid close attention to.Along with the high speed development of China's economic construction, the demand of the energy is also increased fast.Increase in demand and energy problem that energy critical shortage causes is outstanding day by day.Energy-saving and emission-reduction have become the matter of utmost importance of building a Harmonious Society in this case.In the building of China, most building all belongs to highly energy-consuming building, energy for building in China's energy shared ratio from 1978 10% rise to 2007 30%, be 3～4 times of developed country.Along with the attention of China to energy-conserving and environment-protective and green economy, building energy-saving design and construction more and more receive publicity.The Chinese government is carrying out building energy-saving design and is strengthening to new building is carried out energy-conservation detection and old building thing is carried out to reducing energy consumption work.The energy-conservation detection of buildings, mainly by detecting the size of heat flow density, is compared with standard heat flow density, and less with standard value deviation, buildings is more energy-conservation, otherwise buildings is power consumption more.
At present, a lot of research units calibrate heat flow density, adopt various in-situ check and test methods to reduce error, and such as heat flow meter method, hot case method etc., few people discuss the systematic error that acquisition system is brought specially.While passing through the data acquisition system (DAS) image data of platform building, still there will be burr phenomena in the situation that getting rid of general directional error, the heat flow density of obtaining fluctuation is larger.By analysis, the reason that produces error is mainly derived from environmental error, for example electromagnetic interference (EMI) phenomenon.
Summary of the invention
The present invention, in order to overcome the deficiency of above technology, provides a kind of with the data of hot-fluid temperature sensor collection are calculated to eliminate the error processing method that electromagnetic interference (EMI) causes the architectural exterior-protecting construction heat flow density acquisition system of systematic error.
The present invention overcomes the technical scheme that its technical matters adopts:
The error processing method of this architectural exterior-protecting construction heat flow density acquisition system, in turn includes the following steps:
A). build by hot-fluid temperature sensor, be connected in the signal processing unit of hot-fluid temperature sensor and be connected in the heat flow density acquisition platform that the single-chip microcomputer of signal processing unit forms;
B). by hot-fluid temperature sensor, testee is obtained to n heat flow density Value Data continuously, hot-fluid temperature sensor is sent to single-chip microcomputer by the n obtaining a heat flow density Value Data by signal processing unit;
C) single-chip microcomputer is divided into N part by n heat flow density Value Data, obtains the heat flow density data amount check m of latter every group of grouping according to formula m=n/N;
D) single-chip microcomputer is according to formula D j = Σ i = 1 m d i - Max ( d 1 , . . . , d m ) - Min ( d 1 , . . . , d m ) m - 2 , By after the maximal value in each grouping and minimum value removal, residue numerical value is carried out to the arithmetic mean D that arithmetic mean obtains m data in each grouping respectively j, d in formula ifor i value that adopts data in each grouping;
E) single-chip microcomputer is by the N calculating an arithmetic mean D jcarry out arithmetic mean calculating, finally obtain final heat flow density value
In order further to improve the precision of final heat flow density value, single-chip microcomputer is by steps d) in N arithmetic mean D calculating jutilize bubble sort method that the ascending sequence of its data value is obtained to f (x), when the number of N is odd number, by formula g (x)=Mid_Value{f (x 1), f (x 2) ..., f (x i)=f (x (i+1)/2) calculate final heat flow density value g (x), when the number of N is even number, pass through formula g ( x ) = Mid _ Value { f ( x 1 ) , f ( x 2 ) , . . . , f ( x i ) } = f ( x i / 2 ) + f ( x i / 2 + 1 ) 2 Calculate final heat flow density value g (x), the i=N in above-mentioned formula.
In order to realize reasonable value, the value of above-mentioned m is 8-12.
In order to realize reasonable value, the value of above-mentioned N is 5-10.
The invention has the beneficial effects as follows: by calculating, filter the data that deviation is large, make collection value substantially be tending towards true value.Algorithm combines the algorithm idea of mean filter and middle position value filtering, the heat flow density of collection is carried out to segmentation average value processing and finally draw final heat flow density value the final heat flow density value that it calculates little with the average error of true value, overcome the electromagnetic interference (EMI) interference that data acquisition brings to heat flow density in environment.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the error processing method of architectural exterior-protecting construction heat flow density acquisition system of the present invention;
Fig. 2 is heat flow density value after error processing method of the present invention is processed and the heat flow density comparison diagram of untreated heat flow density value;
Fig. 3 is the heat flow density value for after error processing method of the present invention is processed and the error comparison diagram of untreated heat flow density value.
Embodiment
Below in conjunction with accompanying drawing 1, accompanying drawing 2, the present invention will be further described for accompanying drawing 3.
The error processing method of this architectural exterior-protecting construction heat flow density acquisition system, in turn includes the following steps:
(1). build by hot-fluid temperature sensor, be connected in the signal processing unit of hot-fluid temperature sensor and be connected in the heat flow density acquisition platform that the single-chip microcomputer of signal processing unit forms.(2). by hot-fluid temperature sensor, testee is obtained to n heat flow density Value Data continuously, hot-fluid temperature sensor by the n obtaining a heat flow density Value Data by being sent to single-chip microcomputer by signal processing unit.What obtain due to heat-flow density sensor is small change in voltage, this small change in voltage by single-chip microcomputer, carries out data receiver after signal processing unit and computing (3) single-chip microcomputer is divided into N part by n heat flow density Value Data, obtains the heat flow density data amount check m of latter every group of grouping according to formula m=n/N; (4) single-chip microcomputer is according to formula D j = Σ i = 1 m d i - Max ( d 1 , . . . , d m ) - Min ( d 1 , . . . , d m ) m - 2 , By after the maximal value in each grouping and minimum value removal, residue numerical value is carried out to the arithmetic mean D that arithmetic mean obtains m data in each grouping respectively j, d in formula ifor i value that adopts data in each grouping; (5) single-chip microcomputer is by the N calculating an arithmetic mean D jcarry out arithmetic mean calculating, finally obtain final heat flow density value by calculating, filter the data that deviation is large, make collection value substantially be tending towards true value.Algorithm combines the algorithm idea of mean filter and middle position value filtering, the heat flow density of collection is carried out to segmentation average value processing and finally draw final heat flow density value the final heat flow density value that it calculates little with the average error of true value, overcome the electromagnetic interference (EMI) interference that data acquisition brings to heat flow density in environment.
Single-chip microcomputer is by N the arithmetic mean D calculating in step (4) jutilize bubble sort method that the ascending sequence of its data value is obtained to f (x), when the number of N is odd number, by formula g (x)=Mid_Value{f (x 1), f (x 2) ..., f (x i)=f (x (i+1)/2) calculate final heat flow density value g (x), when the number of N is even number, pass through formula g ( x ) = Mid _ Value { f ( x 1 ) , f ( x 2 ) , . . . , f ( x i ) } = f ( x i / 2 ) + f ( x i / 2 + 1 ) 2 Calculate final heat flow density value g (x), the i=N in above-mentioned formula.Calculating object is exactly to this N arithmetic mean D jby arranging from small to large, if N is an odd number, get intermediate value, if N is an even number, the mean value of two numbers in the middle of getting; Like this, the value that use obtains is as final whole heat flow density value g (x).Therefore improved the precision of the final whole heat flow density value calculating.
In order to verify the actual effect of above-mentioned algorithm process, can verify by a set of experimental program.Because the millivolt value of heat flux sensor in actual measurement is determined by the temperature difference and thermal resistance, in the situation that thermal resistance is certain, heat flow density depends on that the temperature difference is big or small.And the temperature difference is difficult to obtain fixed value, the millivolt magnitude of voltage that temperature difference difference causes heat flux sensor to produce is different, and then obtains different heat flow densities, whether is superiorly so just difficult to estimation algorithm.In order to reach contrast object, the millivolt value that adopts 1 millivolt of impulse source analog sensor to produce in experiment.Fixing millivolt value finally just can obtain conforming heat flow density, the conforming quality of heat flow density that observation finally obtains after system is processed, the quality of final decision algorithm.In test, each 84 sampled values of continuous acquisition (sampling time is in 1s), gather 25 times altogether.Then divide two group analysis experiments, first group, get the 40th sampled value of each sampling as final sampled value, obtain successively 25 undressed sampled values.Second group, 84 sampled values are calculated to a sampled value by disposal route of the present invention, obtain successively 25 and process post-sampling value.Experimental procedure is: first, working procedure 1 time, 84 sampled values of continuous acquisition obtain heat flow density data after algorithm process.Move 25 times, every secondary data derives standby.Then, get first group of data, the preliminary data obtaining from each run, get the 40th sampled value, get altogether 25 data.Get second group of data, the net result after algorithm process that each run obtains is as heat flow density data, and totally 25 results, obtain 25 heat flow density data.
If the heat flux sensor coefficient used of experiment is 10, i.e. the voltage input system of 1mV, the theoretical heat flow density of system output should be 10W/m2.mV.Two groups of heat flow density comparison diagrams of obtaining of experiment as shown in Figure 2.As shown in Figure 2, sampled value and the theoretical heat flow density through algorithm process do not differ larger, and the data that gather after the error processing method computing of architectural exterior-protecting construction heat flow density acquisition system of the present invention are tending towards theoretical value substantially.The relative error of trying to achieve them according to two groups of data that gather as shown in Figure 3.From accompanying drawing 3, can draw, the heat flow density average error directly gathering is 5.2%, and maximum error reaches 17%; Average error after algorithm process is 0.4%, and maximum error is only in 2%.
The value of above-mentioned m is 8-12, the value of N is 5-10, if the value of m be less than 8 or the value of N be less than 5 and will cause and because sample size is less, cause inaccurate situation rapidly to occur, if the value of m be greater than 12 or the value of N be greater than 10 and will cause the excessive situation of wasting internal memory that causes of value to occur.

Claims (4)

1. an error processing method for architectural exterior-protecting construction heat flow density acquisition system, is characterized in that: in turn include the following steps:
A). build by hot-fluid temperature sensor, be connected in the signal processing unit of hot-fluid temperature sensor and be connected in the heat flow density acquisition platform that the single-chip microcomputer of signal processing unit forms;
B). by hot-fluid temperature sensor, testee is obtained to n heat flow density Value Data continuously, hot-fluid temperature sensor is sent to single-chip microcomputer by the n obtaining a heat flow density Value Data by signal processing unit;
C) single-chip microcomputer is divided into N part by n heat flow density Value Data, obtains the heat flow density data amount check m of latter every group of grouping according to formula m=n/N;
D) single-chip microcomputer is according to formula D j = Σ i = 1 m d i - Max ( d 1 , . . . , d m ) - Min ( d 1 , . . . , d m ) m - 2 , By after the maximal value in each grouping and minimum value removal, residue numerical value is carried out to the arithmetic mean D that arithmetic mean obtains m data in each grouping respectively j, d in formula ifor i value that adopts data in each grouping;
E) single-chip microcomputer is by the N calculating an arithmetic mean D jcarry out arithmetic mean calculating, finally obtain final heat flow density value
2. the error processing method of architectural exterior-protecting construction heat flow density acquisition system according to claim 1, is characterized in that: single-chip microcomputer is by steps d) in N arithmetic mean D calculating jutilize bubble sort method that the ascending sequence of its data value is obtained to f (x), when the number of N is odd number, by formula g (x)=Mid_Value{f (x 1), f (x 2) ..., f (x i)=f (x (i+1)/2) calculate final heat flow density value g (x), when the number of N is even number, pass through formula g ( x ) = Mid _ Value { f ( x 1 ) , f ( x 2 ) , . . . , f ( x i ) } = f ( x i / 2 ) + f ( x i / 2 + 1 ) 2 Calculate final heat flow density value g (x), the i=N in above-mentioned formula.
3. the error processing method of architectural exterior-protecting construction heat flow density acquisition system according to claim 1 and 2, is characterized in that: the value of described m is 8-12.
4. the error processing method of architectural exterior-protecting construction heat flow density acquisition system according to claim 1 and 2, is characterized in that: the value of described N is 5-10.
CN201410379901.6A 2014-08-04 2014-08-04 Error processing method for building enclosure structure thermal flux density collection system Pending CN104111272A (en)

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CN107506399A (en) * 2017-08-02 2017-12-22 携程旅游网络技术（上海）有限公司 Method, system, equipment and the storage medium of data cell quick segmentation
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