CN108898283A - A kind of method and device carrying out building Energy Efficiency Analysis based on semantic net - Google Patents
A kind of method and device carrying out building Energy Efficiency Analysis based on semantic net Download PDFInfo
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Abstract
The invention discloses a kind of methods for carrying out building Energy Efficiency Analysis based on semantic net, including：Using resource description framework RDF and mathematical standard OpenMath definition building efficiency evaluation index ontology, efficiency evaluation index is converted into RDF efficiency evaluation data source using the building efficiency evaluation index ontology；Multi-database Query algorithm is constructed, and data flow corresponding with the efficiency evaluation index is automatically extracted from the multiple building efficiency related data sources based on the multi-database Query algorithm；According to the data flow extracted, the RDF efficiency evaluation index is converted into algebraic expression using building energy efficiency indexes computational algorithm, carry out the automatic calculating of one or more of algebraic expressions, to determine building efficiency evaluation as a result, and being analyzed according to the evaluation result building efficiency.It solves the problems, such as to be suitable for building efficiency evaluation index, and the multi-source heterogeneous problem of building efficiency evaluation related data without corresponding ontology in the prior art.
Description
Technical field
The invention belongs to information technology fields, and in particular, to a kind of side that building Energy Efficiency Analysis is carried out based on semantic net
Method and device.
Background technique
Under energy crisis aggravation and the serious dual background of environmental disruption, energy conservation and environmental protection is sent out as 21 century countries in the world
One of High-Interest Object of exhibition.Building already becomes current the first rich and influential family of energy consumption, such as the ratio of China is 35%, and building is real
There are larger gaps between border efficiency and people's expection.The optimization for building efficiency will reduce the demand and usage amount of China's energy,
Alleviate current energy crisis, improves problem of environmental pollution, promote the social economic development.
Building Energy Efficiency Analysis to efficiency optimization plays a crucial role, current building energy efficiency analysis method for air exist with
The deficiency of lower two aspects：
1, building Energy Efficiency Analysis is related to multi-source heterogeneous data, including architecture information (BIM), Weather information, schedule information, energy
Consume simulation model etc..They result from different tools and save as different formats, there is isolated problem between each other.Mesh
Before, it is suitable for building efficiency evaluation index without ontology, also can be used for automatic Calculation Estimation there is no corresponding computational algorithm and refer to
Mark.
2, building Energy Efficiency Analysis is the synthtic price index needed using many-sided evaluation index, however, current analysis
Process needs a large amount of index of expert's progress manually to calculate, and workload is big, and analysis efficiency is low.
Summary of the invention
In view of this, being solved existing the present invention provides a kind of method for carrying out building Energy Efficiency Analysis based on semantic net
There is no corresponding ontology to be suitable for building efficiency evaluation index and build the multi-source heterogeneous problem of efficiency related data sources in technology, mentions
The authenticity and reasonability of building Energy Efficiency Analysis are risen.
To achieve the goals above, the embodiment of the invention provides a kind of sides that building Energy Efficiency Analysis is carried out based on semantic net
Method, the method includes：
Using resource description framework RDF and open source mathematical standard OpenMath definition building efficiency evaluation index ontology, make
Efficiency evaluation index is converted into RDF efficiency evaluation data source with the building efficiency evaluation index ontology, by the RDF efficiency
Evaluation data source is associated with multiple building efficiency related data sources；
Multi-database Query algorithm is constructed, and related from the multiple building efficiency based on the multi-database Query algorithm
Data flow corresponding with the efficiency evaluation index is automatically extracted in data source；
According to the data flow extracted, using building energy efficiency indexes computational algorithm by the RDF efficiency evaluation index
One or more algebraic expressions are converted to, carry out oneself of one or more of algebraic expressions using Computer Algebra System
It is dynamic to calculate, to determine building efficiency evaluation as a result, and being analyzed according to the evaluation result building efficiency.
Optionally, described using RDF and OpenMath definition building efficiency evaluation index ontology, including：
Based on the associated data space of the multiple building efficiency related data sources building, constructed using OpenMath described in
The mathematic(al) representation of efficiency evaluation index ontology is built, the building energy efficiency indexes ontology is RDF format.
Optionally, described to be based on the multi-database Query algorithm from the multiple building efficiency related data sources pre-
If data flow corresponding with the efficiency evaluation index is automatically extracted in the time, including：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determined corresponding with the data acquisition time period and BIM
Parameter；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources structures
In the data correlation space built, data mining is carried out to one or more sensors acquisition data, identifies that the sensor is adopted
Collect the data flow in data as efficiency evaluation index；
According to the data requirements of building efficiency evaluation index, SPARQL and SQL retrieval sentence is automatically generated, using described
Data flow needed for SPARQL and SQL retrieval sentence extracts the efficiency evaluation index.
Optionally, the automatic calculating that one or more of algebraic expressions are carried out using Computer Algebra System,
With determine building efficiency evaluation as a result, and according to the evaluation result to building efficiency analyze, including：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively
Efficiency calculating is carried out to the building fructification, wherein the efficiency result mean value of the multiple fructification is the architectural entity
Efficiency mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at the upper time point and
The data at next time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
The embodiment of the invention also provides a kind of device that building Energy Efficiency Analysis is carried out based on semantic net, described device packets
It includes：
Definition module, for being commented using resource description framework RDF and open source mathematical standard OpenMath definition building efficiency
Efficiency evaluation index is converted to RDF efficiency evaluation data source using the building efficiency evaluation index ontology by valence index ontology,
The RDF efficiency evaluation data source and the multiple building efficiency related data sources of multiple building efficiency related data sources are closed
Connection；
Enquiry module, for constructing multi-database Query algorithm, and based on the multi-database Query algorithm from described more
Data flow corresponding with the efficiency evaluation index is automatically extracted in a building efficiency related data sources within a preset time；
Analysis module, the data flow for being extracted according to, using building energy efficiency indexes computational algorithm by the RDF
Efficiency evaluation index is converted to one or more algebraic expressions, carries out one or more of generations using Computer Algebra System
The automatic calculating of number expression formula, to determine building efficiency evaluation as a result, and being divided according to the evaluation result building efficiency
Analysis.
Optionally, the definition module builds efficiency evaluation index ontology using RDF and OpenMath definition, including：
Based on the associated data space of the multiple building efficiency related data sources building, constructed using OpenMath described in
The mathematic(al) representation of efficiency evaluation index ontology is built, the building energy efficiency indexes ontology is RDF format.
Optionally, the enquiry module is based on the multi-database Query algorithm from the multiple building efficiency related data
Data flow corresponding with the efficiency evaluation index is automatically extracted in source within a preset time, including：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determine to believe with the data acquisition time period and building
Cease the corresponding parameter of model；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources structures
In the data correlation space built, data mining is carried out to one or more sensors acquisition data, identifies that the sensor is adopted
Collect the data flow in data as efficiency evaluation index；
According to the data requirements of building efficiency evaluation index, SPARQL and SQL retrieval sentence is automatically generated, using described
SPARQL and SQL retrieval type extracts the efficiency evaluation index.
Optionally, the analysis module using Computer Algebra System carry out one or more of algebraic expressions from
It is dynamic to calculate, to determine building efficiency evaluation as a result, and building efficiency is analyzed according to the evaluation result, including：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively
Efficiency calculating is carried out to the building fructification, wherein the efficiency result mean value of the multiple fructification is the architectural entity
Efficiency mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at the upper time point and
The data at next time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
The embodiment of the invention also provides a kind of device that building Energy Efficiency Analysis is carried out based on semantic net, described device packets
It includes：Processor and memory for storing the computer program that can be run on a processor；Wherein, the processor is used for
When running the computer program, the above-mentioned method that building Energy Efficiency Analysis is carried out based on semantic net is executed.
A kind of computer readable storage medium, is stored thereon with computer executable instructions, the computer executable instructions
For executing the above-mentioned method for carrying out building Energy Efficiency Analysis based on semantic net.
The method and device of the embodiment of the present invention has following advantages：
Efficiency evaluation index and other are built in the method and device for the building Energy Efficiency Analysis that the embodiment of the present invention discloses, analysis
Connecting each other between the related multi-source heterogeneous data of efficiency, is aided with the RDF standard of semantic net, and design can be used for building efficiency evaluation and refer to
The new ontology of target, building building efficiency associated data space.Improve the authenticity and reasonability of building Energy Efficiency Analysis.
Detailed description of the invention
Fig. 1 is the method flow diagram for carrying out building Energy Efficiency Analysis in the embodiment of the present invention based on semantic net；
Fig. 2 is the input/output argument schematic diagram of multi-database Query algorithm in the embodiment of the present invention；
Fig. 3 is the method flow schematic diagram of multi-database Query algorithm in the embodiment of the present invention；
Fig. 4 is the method flow schematic diagram that energy efficiency indexes computational algorithm is built in the embodiment of the present invention；
Fig. 5 is the apparatus structure schematic diagram for carrying out building Energy Efficiency Analysis in the embodiment of the present invention based on semantic net.
Specific embodiment
In order to keep the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, to this hair
It is bright to be further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have to
It is of the invention in limiting.In addition, as long as technical characteristic involved in the various embodiments of the present invention described below is each other
Between do not constitute conflict and can be combined with each other.
Embodiment one
It is most important for Energy Efficiency Analysis to build efficiency evaluation index, but it is mutually not related to other related data sources at present
Connection, its calculating greatly depend on the artificial participation of engineer, and the embodiment of the present invention is intended that the resource description with semantic network technology
Frame realizes the association and automatic calculating of evaluation index.
To achieve the above objectives, as shown in Figure 1, carrying out building Energy Efficiency Analysis based on semantic net the present invention provides a kind of
Method, this method include：
S101, resource description framework RDF and open source mathematical standard OpenMath definition building efficiency evaluation index sheet are used
Efficiency evaluation index is converted to RDF efficiency evaluation data using the building efficiency evaluation index ontology by body (ontology)
The RDF efficiency evaluation data source and multiple building efficiency related data sources are associated by source；
Resource description framework (Resource Description Framework, RDF) is Web money with " Subject, Predicate and Object " structure
The metadata table in source, which is reached, provides an accurate, reliable frame with sharing, and has excellent based on open source, modularization, expansible etc.
Point.Open source mathematical standard OpenMath be one for semantization describe mathematic(al) object and between them correlation it is expansible
Markup language, so that the interaction of mathematic(al) representation and Computer Algebra System is possibly realized.OpenMath has following spy
Point：1, possess operator abundant and define library.2, mathematic(al) representation is defined using recursive form, there is opening, scalability.
In embodiments of the present invention, efficiency evaluation index ontology will be defined used as the RDF on semantic net basis, pass through
The efficiency evaluation index ontology of RDF description usually can not directly carry out digitized operation, therefore, in the present invention, in addition to using
RDF carries out the definition of efficiency evaluation index ontology, then passes through the digitized markers language of OpenMath, by the description of semantic version
Ontology is changed into digitlization/numerical expression extensible markup language, to meet existing Computer Algebra System at present
Algorithm, by correlation building index screening and corresponding data processing can be carried out with the algorithm, so that it is determined that going out
Meet the objective data of building Energy Efficiency Analysis.
Optionally, described using RDF and OpenMath definition building efficiency evaluation index ontology, it is specifically as follows：It is based on
The associated data space of the multiple building efficiency related data sources building, constructs the building efficiency evaluation using OpenMath
The mathematic(al) representation of index ontology, the building energy efficiency indexes ontology are RDF format.
Efficiency evaluation index, usually as different kinds of building body all kinds of index concepts and argued solution by engineer, allusion quotation
The building body of type such as Building Building, floor, space, heating ventilation and air handling system (Heating, Ventilation and
Air Conditioning, HVAC) etc., every one kind building body is provided with a variety of indexs to be quantified, such as temperature, humidity etc..And
It converts it to by the semantic net description language of RDF, then by OpenMath and the efficiency evaluation index can be described as difference
Efficiency evaluation index ontology.Efficiency evaluation index ontology includes two parts：Energy efficiency evaluation parameter definition and energy efficiency evaluation formula
Definition.Efficiency parameter definition contains a variety of parameters pre-seted, such as building body title, parameter name, data start to acquire
Time and data stop acquisition time etc., these parameters calculate the input source as energy efficiency evaluation formula.Energy efficiency evaluation
Formula includes input parameter and operator.Wherein, three kinds of different types of parameter definition are inputted.It is respectively：By expression formula point
The data flow of subexpression, integer and floating type information data and representative information concept after solution is (such as temperature and appropriateness
Data flow), wherein input parameter will be obtained by the sensor for the multiple and different types for being distributed in buildings, for example, temperature
It can be acquired by temperature sensor, humidity then passes through humidity sensor and obtained.And for operator, according to kind
Class is different, and can be divided into conventional and special operator, normal operational symbol contain add, subtract, four kinds of multiplication and division, and special operator
It is then derived from add operation and mean operation, is suitable for building and calculates.Adding operator will be on the related child node-father node of institute
Data all carry out add operations.For example, the heat consumption for a certain floor carries out add operation, it is to the floor
Roomed heat (structural relation of the floor is at this time：Father node is floor；Child node is each room) consumption progress
Add operation.Similarly, mean operation symbol carries out mean operation for the average heat consumption to a certain floor, and mean operation is then
The summation of all heats of the floor and the floor room number/space number are divided by obtain.
S102, building multi-database Query algorithm, and the multi-database Query algorithm is based on from the multiple building energy
Data flow corresponding with the efficiency evaluation index is automatically extracted in effect related data sources；
The input source of multi-database Query algorithm and output data are specific as shown in Fig. 2, to calculate a certain sports center
For the efficiency of middle billiard room.Such as Fig. 2, multi-database Query algorithm is using above-mentioned input parameter as the input of the search algorithm
Source, the core of algorithm are to excavate associated data space, extract the associated Various types of data of buildings.In this example
In, the data flow of floor and HVAC is obtained using sensor, this algorithm is recycled to carry out data mining.Wherein, floor can divide again
For the not chummery such as pool room, pharmacy, wherein each room contains the acquisition that one or more sensors carry out data again,
Such as two sensors are included at least in billiard room, sensor 1 is responsible for temperature collection, and sensor 2 is responsible for acquisition humidity.HVAC is then
It contains multiple coil pipes (Coil), each coil pipe has included at least 3 sensors, is each responsible for water flow velocity in pickup coil
Rate, supply temperature and feedback temperature.Since collected data type is different, therefore needing will be upper by the OpenMath in S101
It states each energy sources balance index referred to carry out being transformed to mathematic(al) representation, the Various types of data stream after converting will constitute associated data
Space, shown in the following table of data space：
| ID | Acquisition time | Value |
| Sensor 1 | .. | .. |
| Sensor 2 | .. | .. |
| Sensor 3 | .. | .. |
Wherein, ID is sensor identification code, and acquisition time indicates that sensor was started to work to the period to stop working,
Value represents collected data.
Specifically, it is acquired for the pool room efficiency in this example, collected tables of data is as follows：
| Buildings | Pool room |
| Time started | 11/01/2018 |
| End time | 12/01/2018 |
| Index/parameter | Hot coil efficiency |
| Formula | Wf*4.18*(TS-TR) |
Wherein, WfFor flow rate；TSFor supply temperature, TRFor feedback temperature.
Optionally, based on the multi-database Query algorithm from the multiple building efficiency related data sources when default
It is interior to automatically extract data flow corresponding with the efficiency evaluation index, it is specifically as follows：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determine to believe with the data acquisition time period and building
Cease the corresponding parameter of model；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources structures
In the data correlation space built, data mining is carried out to one or more sensors acquisition data, identifies that the sensor is adopted
Collect the data flow in data as efficiency evaluation index；
According to the data requirements of building efficiency evaluation index, SPARQL and SQL retrieval sentence is automatically generated, using described
SPARQL and SQL retrieval sentence extracts the efficiency evaluation index.Wherein, the data requirements of efficiency evaluation index is built, i.e.,
For predefined data requirements, such as some room, certain floor, the energy sources balance index of certain building, and for a certain
Floor/room energy sources balance index can also be refined further, such as this refers to for this index of temperature, or for humidity
It marks to carry out the retrieval and extraction of building energy efficiency indexes.
More specifically, Fig. 3 is a specific example of the algorithm, as shown in figure 3, the algorithm flow includes：
S1021, extraction acquisition time section corresponding with input parameter and buildings ID；
S1022, the parameter in formula is decomposed, and obtains the parameter in the formula in input parameter；
S1023, using S1021 extract acquisition period as starting point, according to buildings ID to current incident space into
Row data mining, to detect whether the associated data that each sensor provides can be used as input traffic；Data mining inquiry
It can be SPARQL format；
If S1024, during the execution of the algorithm, present node includes child node, then judges the data flow of present node
It excavates imperfect, based on current node, repeats the above steps；
S1025, current all data flows all have already passed through excavation, then generate SQL query statement, to current all numbers
It is inquired, is extracted and the current associated data flow of buildings ID according to stream.
S103, the data flow extracted according to, using building energy efficiency indexes computational algorithm by the RDF efficiency evaluation
Index is converted to one or more algebraic expressions, carries out one or more of algebraic expressions using Computer Algebra System
Automatic calculating, with determine building efficiency evaluation as a result, and according to the evaluation result to building efficiency analyze.
In S103, by second algorithm-building energy efficiency indexes computational algorithm, the stream compression extracted is changed to can
The algebraic expression calculated using Computer Algebra System.
Optionally, the automatic calculating of one or more of algebraic expressions is carried out, using Computer Algebra System with true
Surely build efficiency evaluation as a result, and according to the evaluation result to building efficiency analyze, be specifically as follows：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively
Efficiency calculating is carried out to the building fructification, wherein the efficiency result mean value of the multiple fructification is the architectural entity
Efficiency mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at the upper time point and
The data at next time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
The structural relation of architectural entity, can be tree structure, for example, a certain architectural entity includes 3 floors, every first floor
It include again 8 rooms, then building fructification can be divided into floor or room for current architectural entity.Wherein,
Each building fructification can individually carry out efficiency calculating, and it is as total that the efficiency result of multiple fructification is carried out mean operation
Architectural entity efficiency mean value.
More specifically, building one detailed process of energy efficiency indexes computational algorithm is as shown in figure 4, be specially：
S1031, the acquisition time started is obtained；
S1032, add operation is executed；
Current add operation needs all parameters carrying out add operation, including number all in father node-child node
According to；
S1033, mean operation is executed；
Similarly, it after the result for obtaining add operation, needs overall result divided by total quantity；For example, current floor (father's section
Point) energy consumption need the energy consumption values in the cumulative each room of current floor (child node), and mean operation need will plus
Result after method operation is divided by space number (such as room number), to obtain corresponding mean value.
If the data flow in S1034, current acquisition time section is imperfect, using the data after the mean operation as residue
Data are filled to current data stream corresponding portion.
In one embodiment of the invention, it is surveyed using S101-S103.The centre of motion with a colleges and universities is
Example, the colleges and universities centre of motion take up an area 11000 square metres, and have three layers building, wherein containing the centre of motion and students' center, wherein learn
Medical Treatment Room, theater, media room and Relexing device are contained again inside raw center, the centre of motion contains 50 meters * 25 meters of swimming
Pond and fitness center, administration office etc..The confession of buildings warms up cooling equipment as two cogenerations of heat and power
(Cogeneration, Combined Heat and Power, CHP) unit, two boilers and air-conditioning cooling device.It is above-mentioned
Equipment contain 8 air-conditioning boxs (Air Handle Unit, AHU) and fan coil units (Fan Coil Unit, FCU),
Warm and skirting board heating sheet.The ventilating system of the buildings is mechanical.It is excellent that the buildings can carry out a large amount of energy consumption
Change configuration.Contain a large amount of different types of space in the buildings, each space-like have different supply condition and
Demand, for example, the billiard ball room temperature in the centre of motion needs to maintain 30 degrees Celsius +/- 0.5 degree Celsius, future prevents structure
On chemical attack, relative humidity needs to maintain 40-60%.It distributed in the buildings at present a small amount of, incomplete
Sensor, got some incomplete, different types of data, since structure is complicated for the buildings, and need adopt
Collect different types of data flow, therefore architectural control people is difficult comprehensively to get the energy valid value of building entirety.And it answers
The scheme described in above-mentioned steps can comprehensively obtain the energy valid value of buildings entirety, specific as follows：
1. building software platform, software platform can be divided into four layers, be data active layer, associated data respectively into, service support
Layer and alternation of bed.Wherein data active layer is the RDF format of semantic net, and associated data is associated data using SPARQL and SQL
The inquiry in space；
2. carrying out energy efficiency evaluation using scene modeling (Scenario Modelling) and OpenMath；Scene modeling can be with
Concept, fuzzy information is converted into RDF format, apparent expression formula by way of modeling, OpenMath can then be incited somebody to action
The expression formula of RDF format is converted to mathematic(al) representation, needs to obtain four kinds of index/parameters in this example：Space temperature；Space phase
To humidity；Heating coil energy consumption (unit：KWh)；The economizer energy restores (unit：KWh).Current mathematical formulae and parameter are situated between
It continues such as (1)-(4)：
H=1.006t+W (2501+1.86t) (1)
T=t+273.15 (4)
Wherein, t represents relative temperature value, and T represents kelvin rating, and W represents humidity ratio；P represents air pressure；Indicate phase
To humidity；pwsRepresent hydraulic pressure.
Efficiency evaluation index and other are built in the method and device for the building Energy Efficiency Analysis that the embodiment of the present invention discloses, analysis
Connecting each other between the related multi-source heterogeneous data of efficiency, is aided with the RDF standard of semantic net, and design can be used for building efficiency evaluation and refer to
The new ontology of target, building building efficiency associated data space.Improve the authenticity and reasonability of building Energy Efficiency Analysis.
Embodiment two
As shown in figure 5, the embodiment of the invention discloses a kind of device for carrying out building Energy Efficiency Analysis based on semantic net, it is described
Device includes：
Definition module 51, for using resource description framework RDF and open source mathematical standard OpenMath definition building efficiency
Efficiency evaluation index is converted to RDF efficiency evaluation data using the building efficiency evaluation index ontology by evaluation index ontology
The RDF efficiency evaluation data source and multiple building efficiency related data sources are associated by source；
The introduction of RDF and OpenMath please refers to embodiment one, is described again here.
Optionally, definition module is using RDF and OpenMath definition building efficiency evaluation index ontology, specially：
Based on the associated data space of the multiple building efficiency related data sources building, constructed using OpenMath described in
The mathematic(al) representation of efficiency evaluation index ontology is built, the building energy efficiency indexes ontology is RDF format.
Enquiry module 52, for constructing multi-database Query algorithm, and based on the multi-database Query algorithm from described
Data flow corresponding with the efficiency evaluation index is automatically extracted in multiple building efficiency related data sources within a preset time；
Optionally, enquiry module is based on the multi-database Query algorithm from the multiple building efficiency related data sources
Data flow corresponding with the efficiency evaluation index is automatically extracted within a preset time, including：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determine to believe with the data acquisition time period and building
Cease the corresponding parameter of model；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources structures
In the data correlation space built, data mining is carried out to one or more sensors acquisition data, identifies that the sensor is adopted
Collect the data flow in data as efficiency evaluation index；
According to the data requirements of building efficiency evaluation index, SPARQL and SQL retrieval type is automatically generated, using described
SPARQL and SQL retrieval type extracts the corresponding data flow of the RDF efficiency evaluation index.
Analysis module 53, the data flow for extracting according to will be described using building energy efficiency indexes computational algorithm
RDF efficiency evaluation index is converted to one or more algebraic expressions, is carried out using Computer Algebra System one or more
The automatic calculating of a algebraic expression, with determine building efficiency evaluation as a result, and according to the evaluation result to building efficiency into
Row analysis.
Optionally, analysis module 53 carries out the automatic of one or more of algebraic expressions using Computer Algebra System
Calculate, with determine building efficiency evaluation as a result, and according to the evaluation result to building efficiency analyze, including：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively
Efficiency calculating is carried out to the building fructification, wherein the efficiency result mean value of the multiple fructification is the architectural entity
Efficiency mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at the upper time point and
The data at next time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
The embodiment of the invention also provides a kind of device that building Energy Efficiency Analysis is carried out based on semantic net, described device packets
It includes：Processor and memory for storing the computer program that can be run on a processor；Wherein, the processor is used for
When running the computer program, the above-mentioned method that building Energy Efficiency Analysis is carried out based on semantic net is executed.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with the executable finger of computer
It enables, which is used to execute the above-mentioned method for carrying out building Energy Efficiency Analysis based on semantic net.
It should be understood that the size of the serial number of each process is not meant to execution sequence in the various embodiments of the application
Successively, the execution sequence of each process should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present application
Constitute any restriction.
Those of ordinary skill in the art may be aware that mould described in conjunction with the examples disclosed in the embodiments of the present disclosure
Block and method and step can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
Scope of the present application.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description,
The specific work process of device and module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The various pieces of this specification are all made of progressive mode and are described, same and similar portion between each embodiment
Dividing may refer to each other, and what each embodiment introduced is and other embodiments difference.Especially for device and dress
For setting embodiment, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to method reality
Apply the explanation of example part.
Finally, it should be noted that：The foregoing is merely the preferred embodiments of technical scheme, are not intended to
Limit the protection scope of the application.Obviously, those skilled in the art can carry out various modification and variations without de- to the application
From scope of the present application.If these modifications and variations of the application belong to the range of the claim of this application and its equivalent technologies
Within, then any modification, equivalent replacement, improvement and so on, should be included within the scope of protection of this application.
Claims (10)
1. a kind of method for carrying out building Energy Efficiency Analysis based on semantic net, which is characterized in that the method includes：
Using resource description framework RDF and open source mathematical standard OpenMath definition building efficiency evaluation index ontology, institute is used
It states building efficiency evaluation index ontology and efficiency evaluation index is converted into RDF efficiency evaluation data source, by the RDF efficiency evaluation
Data source is associated with multiple building efficiency related data sources；
Multi-database Query algorithm is constructed, and is based on the multi-database Query algorithm from the multiple building efficiency related data
Data flow corresponding with the efficiency evaluation index is automatically extracted in source；
According to the data flow extracted, the RDF efficiency evaluation index is converted using building energy efficiency indexes computational algorithm
For one or more algebraic expressions, the automatic meter of one or more of algebraic expressions is carried out using Computer Algebra System
It calculates, to determine building efficiency evaluation as a result, and being analyzed according to the evaluation result building efficiency.
2. the method according to claim 1, wherein described commented using RDF and OpenMath definition building efficiency
Valence index ontology, including：
Based on the associated data space of the multiple building efficiency related data sources building, the building is constructed using OpenMath
The mathematic(al) representation of efficiency evaluation index ontology, the building energy efficiency indexes ontology are RDF format.
3. the method according to claim 1, wherein it is described based on the multi-database Query algorithm from described more
Data flow corresponding with the efficiency evaluation index is automatically extracted in a building efficiency related data sources, including：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determine ginseng corresponding with the data acquisition time period and BIM
Number；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources buildings
In data correlation space, data mining is carried out to one or more sensors acquisition data, identifies the sensor acquisition number
According to the middle data flow as efficiency evaluation index；
According to the data requirements of the building efficiency evaluation index, SPARQL and SQL retrieval sentence is automatically generated, using described
Data flow needed for SPARQL and SQL retrieval sentence extracts the efficiency evaluation index.
4. the method according to claim 1, wherein it is described using Computer Algebra System carry out it is one or
The automatic calculating of multiple algebraic expressions, to determine building efficiency evaluation as a result, and according to the evaluation result to building efficiency
It is analyzed, including：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively to institute
It states building fructification and carries out efficiency calculating, wherein the efficiency result mean value of the multiple fructification is the energy of the architectural entity
Imitate mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at upper time point and next
The data at a time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
5. a kind of device for carrying out building Energy Efficiency Analysis based on semantic net, which is characterized in that described device includes：
Definition module, for being referred to using resource description framework RDF and open source mathematical standard OpenMath definition building efficiency evaluation
Efficiency evaluation index is converted to RDF efficiency evaluation data source using the building efficiency evaluation index ontology, by institute by sample body
RDF efficiency evaluation data source is stated to be associated with multiple building efficiency related data sources；
Enquiry module is built for constructing multi-database Query algorithm, and based on the multi-database Query algorithm from the multiple
It builds and automatically extracts data flow corresponding with the efficiency evaluation index in efficiency related data sources within a preset time；
Analysis module, the data flow for being extracted according to, using building energy efficiency indexes computational algorithm by the RDF efficiency
Evaluation index is converted to one or more algebraic expressions, carries out one or more of algebra tables using Computer Algebra System
Up to the automatic calculating of formula, to determine building efficiency evaluation as a result, and being analyzed according to the evaluation result building efficiency.
6. device according to claim 5, which is characterized in that the definition module is built using RDF and OpenMath definition
Efficiency evaluation index ontology is built, including：
Based on the associated data space of the multiple building efficiency related data sources building, the building is constructed using OpenMath
The mathematic(al) representation of efficiency evaluation index ontology, the building energy efficiency indexes ontology are RDF format.
7. device according to claim 5, which is characterized in that the enquiry module is based on the multi-database Query algorithm
Automatically extract number corresponding with the efficiency evaluation index within a preset time from the multiple building efficiency related data sources
According to stream, including：
Extract the data acquisition time period and Building Information Model BIM of the building index；
The data acquisition time period and BIM are parsed, determined and the data acquisition time period and architecture information mould
The corresponding parameter of type；
It is to excavate starting point with the BIM, in the data acquisition time period, in multiple building efficiency related data sources buildings
In data correlation space, data mining is carried out to one or more sensors acquisition data, identifies the sensor acquisition number
According to the middle data flow as efficiency evaluation index；
According to the data requirements of building efficiency evaluation index, SPARQL and SQL retrieval sentence is automatically generated, the SPARQL is utilized
The efficiency evaluation index is extracted with SQL retrieval type.
8. device according to claim 5, which is characterized in that the analysis module carries out institute using Computer Algebra System
The automatic calculating of one or more algebraic expressions is stated, to determine building efficiency evaluation as a result, and according to the evaluation result pair
Building efficiency is analyzed, including：
The data acquisition time period for extracting the multiple building index, calculates the energy valid value of each architectural entity；
According to the structural relation of the architectural entity, the architectural entity is split as multiple building fructifications, and successively to institute
It states building fructification and carries out efficiency calculating, wherein the efficiency result mean value of the multiple fructification is the energy of the architectural entity
Imitate mean value；
If the numerical value acquired in current acquisition time is sky, by current acquisition time at upper time point and next
The data at a time point carry out mean operation, using the mean value as the numerical value of the current acquisition time.
9. a kind of device for carrying out building Energy Efficiency Analysis based on semantic net, which is characterized in that described device includes：Processor and use
In the memory for the computer program that storage can be run on a processor；Wherein, the processor is for running the calculating
When machine program, perform claim requires 1 to 4 described in any item methods for carrying out building Energy Efficiency Analysis based on semantic net.
10. a kind of computer readable storage medium, is stored thereon with computer executable instructions, which is characterized in that the computer
Executable instruction requires 1 to 4 described in any item methods for carrying out building Energy Efficiency Analysis based on semantic net for perform claim.
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