CN117744233A - Intelligent distribution system and method for building design expert based on data analysis - Google Patents
Intelligent distribution system and method for building design expert based on data analysis Download PDFInfo
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Abstract
The invention relates to the field of building design, in particular to an intelligent distribution system and method for building design experts based on data analysis, which are used for solving the problems that the prior art cannot collect data and comprehensively measure the past building design, and cannot select the most excellent building design expert, lacks of comprehensive consideration on energy-saving factors, cannot provide an excellent energy-saving building scheme, and causes higher building energy consumption; the system comprises an energy consumption monitoring module, a building design platform, an energy consumption display module, an expert allocation module and a data analysis module; the invention can screen out the energy consumption object with lower energy consumption for preferential display, and select high-level building design specialists for preferential distribution, and the building designed under the combination of the two has excellent energy-saving effect; the invention realizes the comprehensive optimization of the building design process, can be widely applied to the fields of building design and energy conservation, and is beneficial to improving the energy efficiency of the building and reducing the energy consumption.
Description
Technical Field
The invention relates to the field of building design, in particular to an intelligent distribution system and method for building design experts based on data analysis.
Background
Along with the increasing importance of society on energy conservation and emission reduction, building energy conservation design has become an important development direction of the building industry. The patent with the application number of CN202011415754.5 discloses a building energy-saving expert design system and a method based on sensitivity analysis, wherein the system comprises a building scheme input module for collecting building design parameters, parameters to be optimized and an optimization interval input by a user; the system comprises a building energy consumption calculation module, wherein a building energy consumption value and a human body comfort level value can be calculated through building design parameters; the system comprises a data sampling module, a data processing module and a data processing module, wherein the data sampling module is used for sampling the parameters to be optimized in an inner layer in an optimization interval to form a random data set; the system comprises a sensitivity analysis module, a sensitivity analysis module and a power consumption analysis module, wherein the sensitivity analysis module is used for carrying out sensitivity analysis on parameters to be optimized and building energy consumption values according to a random data set; the system comprises an energy-saving suggestion module, a detection module and a control module, wherein the energy-saving suggestion module provides energy-saving optimization suggestions according to the result of sensitivity analysis; the system comprises a parameter modification module, a parameter optimization module and a parameter optimization module, wherein the parameter modification module is used for acquiring the modification of parameters to be optimized by a user; the system comprises a judging module, a judging module and a judging module, wherein the judging module is used for judging whether the modification of the user is reasonable or not according to the building energy consumption value and the human comfort value; the system comprises a result display module for comparing the architectural schemes before and after modification, and the following defects still exist: the system and the method for designing the building energy-saving expert cannot collect data and comprehensively measure the past building designs, cannot select the most excellent building design expert, lack comprehensive consideration of energy-saving factors, and cannot provide an excellent energy-saving building scheme, so that the building energy consumption is high.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide a data analysis-based intelligent distribution system and method for building design experts, which solve the problems that the existing system and method for building energy-saving expert design cannot collect data and comprehensively measure past building designs, the most excellent building design expert cannot be selected, comprehensive consideration on energy-saving factors is lacked, an excellent energy-saving building scheme cannot be provided, and high building energy consumption is caused.
The aim of the invention can be achieved by the following technical scheme:
a data analysis based architectural design expert intelligent distribution system comprising:
the building design platform is used for generating an expert allocation instruction after the user orders, and sending the expert allocation instruction to the expert allocation module; and is also used for obtaining the selected object according to the expert allocation coefficient FPi;
the expert allocation module is used for acquiring expert allocation information of the allocation object k after receiving the expert allocation instruction and sending the expert allocation information to the data analysis module; the expert allocation information comprises an engineering value GS, a design value SJ and a scoring value PF;
and the data analysis module is used for obtaining expert allocation coefficients FPi according to the expert allocation information and sending the expert allocation coefficients FPi to the building design platform.
As a further scheme of the invention: the specific process of the expert allocation module for acquiring the expert allocation information is as follows:
after receiving the expert allocation instruction, marking all building design experts as allocation objects k, k=1, … …, o and o as positive integers in sequence;
acquiring the total duration of the allocation object k in the construction design industry, and marking the total duration as a working hour value GS;
obtaining total number of co-designed buildings and total amount of co-designed buildings of the distribution object k, marking the total number of co-designed buildings and the total amount of co-designed buildings as a construction sub-value JC and a construction sub-value JE respectively, carrying out quantization treatment on the construction sub-value JC and the construction sub-value JE, extracting numerical values of the construction sub-value JC and the construction sub-value JE, substituting the numerical values into a formula for calculation, and obtaining the numerical values according to the formulaObtaining a design value SJ, wherein s1 and s2 are preset proportional coefficients corresponding to a set establishment value JC and a establishment value JE respectively, s1 and s2 meet s1+s2=1, 0 < s1 < s2 < 1, s1=0.41 and s2=0.59;
the number of good evaluation times, medium evaluation times and poor evaluation times obtained by the distribution object k are obtained and marked as a good evaluation value HP, a medium evaluation value ZP and a poor evaluation value CP respectively, the good evaluation value HP, the medium evaluation value ZP and the poor evaluation value CP are subjected to quantization processing, the numerical values of the good evaluation value HP, the medium evaluation value ZP and the poor evaluation value CP are extracted and substituted into a formula for calculation, and the numerical values are calculated according to the formulaObtaining a grading value PF, wherein p1, p2 and p3 are preset proportionality coefficients corresponding to a set good grading value HP, a set medium grading value ZP and a set difference grading value CP respectively, wherein p1, p2 and p3 meet p1+p2+p3=1, 0 < p1 < p2 < p3 < 1, p1=0.25, p2=0.33 and p3=0.42;
the engineering value GS, the design value SJ and the scoring value PF are sent to a data analysis module.
As a further scheme of the invention: the specific process of the data analysis module obtaining the expert distribution coefficient FPi is as follows:
quantizing the work value GS, the design value SJ and the grading value PF, extracting the values of the work value GS, the design value SJ and the grading value PF, substituting the values into a formula for calculation, and calculating according to the formulaObtaining an expert allocation coefficient FPi, wherein pi is a mathematical constant, delta is a preset error adjustment factor, delta=0.982 is taken, c1, c2 and c3 are respectively preset weight factors corresponding to a set man-hour value GS, a design value SJ and a grading value PF, c1, c2 and c3 meet the condition that c1 > c2 > c3 > 2.562, c1=3.73, c2=3.21 and c3=2.84;
the expert allocation coefficients FPi are sent to the architectural design platform.
As a further scheme of the invention: the intelligent distribution system of the architectural design expert based on data analysis further comprises:
the energy consumption monitoring module is used for acquiring the electric energy value DN and the water energy value SN of the building model, acquiring the consumption value XH according to the electric energy value DN and the water energy value SN, and sending the consumption value XH to the building design platform.
As a further scheme of the invention: the specific process of the energy consumption monitoring module obtaining the consumption value XH is as follows:
in the design process of the building, forming a building model according to building parameters, acquiring the electric energy consumption and the water consumption of the building model in unit time, respectively marking the electric energy consumption and the water consumption as an electric energy value DN and a water energy value SN, carrying out quantization treatment on the electric energy value DN and the water energy value SN, extracting the numerical values of the electric energy value DN and the water energy value SN, and substituting the numerical values into a public placeIn the calculation, according to the formulaObtaining a consumption value XH, wherein x1 and x2 are preset proportional coefficients corresponding to a set electric energy value DN and a water energy value SN respectively, x1 and x2 meet x1+x2=1, 0 < x2 < x1 < 1, take x1=0.62, and x2=0.38;
the consumption value XH is sent to the architectural design platform.
As a further scheme of the invention: the building design platform is also used for dividing the building model into an excess energy model and a standard energy model according to the consumption value XH, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to the energy consumption monitoring module.
As a further scheme of the invention: the building design platform divides the building model as follows:
the consumption value XH is compared with a preset consumption threshold XHy:
if the consumption value XH is larger than or equal to the consumption threshold XHy, marking the building model related to the consumption value XH as an overtemperature model;
if the consumption value XH is smaller than the consumption threshold XHy, marking the building model related to the consumption value XH as a standard energy model, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to the energy consumption monitoring module.
As a further scheme of the invention: the intelligent distribution system of the architectural design expert based on data analysis further comprises:
the energy consumption monitoring module is used for marking all energy marking models as analysis models j after receiving an energy consumption analysis instruction, dividing the analysis models j into energy consumption objects i according to functions, acquiring energy consumption coefficients HNi and sending the energy consumption coefficients HNi to the energy consumption display module.
As a further scheme of the invention: the specific process of the energy consumption monitoring module obtaining the energy consumption coefficient HNi is as follows:
after receiving an energy consumption analysis instruction, sequentially marking all energy-marking models as analysis models j, wherein j=1, … …, m and m are positive integers, dividing energy consumption parts in the analysis models j into energy consumption objects i according to functions, wherein i=1, … …, n and n are positive integers, and the energy consumption objects i comprise a lighting system, a fresh air system, an electric system, a heating, ventilation and air conditioning system and a fire protection system;
acquiring the electric energy consumption of the energy consumption object i within one hour, marking the electric energy consumption as a short-term electric consumption value DH, acquiring the electric energy consumption of the energy consumption object i within one day, marking the electric energy consumption as a medium-term electric consumption value ZH, acquiring the electric energy consumption of the energy consumption object i within ten days, marking the electric energy consumption as a long-term electric consumption value CH, carrying out quantization processing on the short-term electric consumption value DH, the medium-term electric consumption value ZH and the long-term electric consumption value CH, extracting the values of the short-term electric consumption value DH, the medium-term electric consumption value ZH and the long-term electric consumption value CH, substituting the values into a formula for calculation, and obtaining the electric energy consumption of the energy consumption object i within ten days according to the formulaObtaining an energy consumption coefficient HNi, wherein h1, h2 and h3 are preset proportionality coefficients corresponding to a set short-term power consumption value DH, a set medium-term power consumption value ZH and a set long-term power consumption value CH respectively, and h1, h2 and h3 meet the requirements of h1+h2+h3=1, 0 < h3 < h2 < h1 < 1, h1=0.40, h2=0.34 and h3=0.26;
the energy consumption coefficient HNi is sent to the energy consumption display module.
As a further scheme of the invention: the intelligent distribution system of the architectural design expert based on data analysis further comprises:
and the energy consumption display module is used for obtaining an energy consumption display directory according to the energy consumption coefficient HNi.
As a further scheme of the invention: the specific process of the energy consumption display module for obtaining the energy consumption display directory is as follows:
grouping energy consumption objects i of all analysis models j to form n energy consumption display groups;
and ordering all the energy consumption objects i in the energy consumption display group according to the order of the energy consumption coefficients HNi from small to large to form n energy consumption display directories.
As a further scheme of the invention: a building design expert intelligent distribution method based on data analysis comprises the following steps:
step one: the energy consumption monitoring module acquires an electric energy value DN and a water energy value SN of the building model, acquires a consumption value XH according to the electric energy value DN and the water energy value SN, and sends the consumption value XH to the building design platform;
step two: the building design platform divides the building model into an super energy model and a standard energy model according to the consumption value XH, generates an energy consumption analysis instruction at the same time, and sends the energy consumption analysis instruction to the energy consumption monitoring module;
step three: after receiving the energy consumption analysis instruction, the energy consumption monitoring module marks all energy-marking models as analysis models j, divides the analysis models j into energy consumption objects i according to functions, acquires energy consumption coefficients HNi, and sends the energy consumption coefficients HNi to the energy consumption display module;
step four: the energy consumption display module obtains an energy consumption display directory according to the energy consumption coefficient HNi;
step five: generating an expert allocation instruction after the building design platform user orders, and sending the expert allocation instruction to an expert allocation module;
step six: the expert allocation module receives an expert allocation instruction, acquires expert allocation information of an allocation object k, wherein the expert allocation information comprises an industrial value GS, a design value SJ and a scoring value PF, and sends the expert allocation information to the data analysis module;
step seven: the data analysis module obtains expert distribution coefficients FPi according to the expert distribution information and sends the expert distribution coefficients FPi to the building design platform;
step eight: the architectural design platform obtains the selected object based on the expert distribution coefficient FPi.
The invention has the beneficial effects that:
according to the intelligent distribution system and the intelligent distribution method for the building design expert based on the data analysis, firstly, a building model is built for a building which is already designed in historical data, data are collected and analyzed to obtain consumption values, the consumption values can comprehensively measure the energy-saving and energy-consuming conditions of the designed building, the larger the consumption values are, the worse the energy-saving effect is, the higher the energy consumption is, the building model is divided according to the consumption values, the building design with better energy-saving effect is collected and analyzed to obtain energy consumption coefficients, the energy consumption coefficients can comprehensively measure the energy-saving and energy-consuming conditions of energy-consuming objects, the larger the energy consumption coefficients are, the worse the energy-saving effect is, the higher the energy consumption coefficients are, the energy-consuming objects are ranked according to the energy consumption coefficients, the energy-consuming display list is obtained, then, the data collection and the analysis are carried out on the building design expert of the building design are carried out to obtain expert distribution information, the expert distribution coefficients obtained according to the expert distribution information can comprehensively measure the building design level of the building design, the higher the expert distribution coefficient is, the higher the expert distribution level is, the energy-saving effect can be achieved, the better is, and finally, the expert distribution is obtained according to the expert distribution coefficients;
the system and the method for designing the building energy-saving expert can screen out the energy-consuming objects with lower energy consumption in the past design building process from the energy-consuming objects formed by different design schemes of the historical data for preferential display, and select high-level building design experts for preferential distribution, so that the building designed under the combination of the two has excellent energy-saving effect; the invention has the advantages of high precision, intelligence, comprehensiveness, usability and the like, realizes the comprehensive optimization of the building design process by establishing a building energy consumption model, data acquisition and data analysis and automatic distribution of building design specialists, can be widely applied to the fields of building design and energy conservation, and is beneficial to improving the energy efficiency of the building and reducing the energy consumption.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a data analysis based intelligent distribution system for architectural design specialists in the present invention;
FIG. 2 is a process flow diagram of a data analysis based intelligent distribution method for architectural design specialists.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, the present embodiment is a data analysis-based intelligent distribution system for architectural design experts, which includes the following modules: the system comprises an energy consumption monitoring module, a building design platform, an energy consumption display module, an expert allocation module and a data analysis module;
the energy consumption monitoring module is used for acquiring an electric energy value DN and a water energy value SN of the building model, acquiring a consumption value XH according to the electric energy value DN and the water energy value SN, and sending the consumption value XH to the building design platform; the energy consumption analysis module is also used for marking all energy marking models as analysis models j after receiving the energy consumption analysis instruction, dividing the analysis models j into energy consumption objects i according to functions, acquiring energy consumption coefficients HNi and sending the energy consumption coefficients HNi to the energy consumption display module;
the building design platform is used for dividing a building model into an excess energy model and a standard energy model according to the consumption value XH, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to the energy consumption monitoring module; the expert allocation module is also used for generating an expert allocation instruction after the user orders and sending the expert allocation instruction to the expert allocation module; and is also used for obtaining the selected object according to the expert allocation coefficient FPi;
the energy consumption display module is used for obtaining an energy consumption display directory according to the energy consumption coefficient HNi;
the expert allocation module is used for acquiring expert allocation information of the allocation object k after receiving the expert allocation instruction and sending the expert allocation information to the data analysis module; the expert allocation information comprises an engineering value GS, a design value SJ and a scoring value PF;
the data analysis module is used for obtaining expert distribution coefficients FPi according to the expert distribution information and sending the expert distribution coefficients FPi to the building design platform.
Example 2:
referring to fig. 2, the present embodiment is a method for intelligently distributing architectural design experts based on data analysis, which includes the following steps:
step one: the energy consumption monitoring module acquires an electric energy value DN and a water energy value SN of the building model, acquires a consumption value XH according to the electric energy value DN and the water energy value SN, and sends the consumption value XH to the building design platform;
step two: the building design platform divides the building model into an super energy model and a standard energy model according to the consumption value XH, generates an energy consumption analysis instruction at the same time, and sends the energy consumption analysis instruction to the energy consumption monitoring module;
step three: after receiving the energy consumption analysis instruction, the energy consumption monitoring module marks all energy-marking models as analysis models j, divides the analysis models j into energy consumption objects i according to functions, acquires energy consumption coefficients HNi, and sends the energy consumption coefficients HNi to the energy consumption display module;
step four: the energy consumption display module obtains an energy consumption display directory according to the energy consumption coefficient HNi;
step five: generating an expert allocation instruction after the building design platform user orders, and sending the expert allocation instruction to an expert allocation module;
step six: the expert allocation module receives an expert allocation instruction, acquires expert allocation information of an allocation object k, wherein the expert allocation information comprises an industrial value GS, a design value SJ and a scoring value PF, and sends the expert allocation information to the data analysis module;
step seven: the data analysis module obtains expert distribution coefficients FPi according to the expert distribution information and sends the expert distribution coefficients FPi to the building design platform;
step eight: the architectural design platform obtains the selected object based on the expert distribution coefficient FPi.
Example 3:
based on any of the above embodiments, embodiment 3 of the present invention is an energy consumption monitoring module, which has two functions;
one function is to obtain the consumption value XH, which is as follows:
in the design process of the building, the energy consumption monitoring module forms a building model of all the designed buildings according to building parameters, acquires the electric energy consumption and the water consumption of the building model in unit time, and marks the electric energy consumption and the water consumption as electric energy values respectivelyDN and SN, carrying out quantization treatment on the DN and SN, extracting the numerical values of DN and SN, substituting the numerical values into a formula for calculation, and calculating according to the formulaObtaining a consumption value XH, wherein x1 and x2 are preset proportional coefficients corresponding to a set electric energy value DN and a water energy value SN respectively, x1 and x2 meet x1+x2=1, 0 < x2 < x1 < 1, take x1=0.62, and x2=0.38;
the energy consumption monitoring module sends the consumption value XH to the building design platform;
the second function is to obtain the energy consumption coefficient HNi, and the specific process is as follows:
after receiving the energy consumption analysis instruction, the energy consumption monitoring module sequentially marks all energy-marking models as analysis models j, j=1, … …, m and m as positive integers, and divides the energy consumption part in the analysis model j into energy consumption objects i according to functions, i=1, … … and n as positive integers, wherein the energy consumption objects i comprise a lighting system, a fresh air system, an electrical system, a heating ventilation air conditioning system and a fire protection system;
the energy consumption monitoring module obtains the energy consumption of the energy consumption object i within one hour, marks the energy consumption as a short-term power consumption value DH, obtains the energy consumption of the energy consumption object i within one day, marks the energy consumption as a medium-term power consumption value ZH, obtains the energy consumption of the energy consumption object i within ten days, marks the energy consumption as a long-term power consumption value CH, carries out quantization processing on the short-term power consumption value DH, the medium-term power consumption value ZH and the long-term power consumption value CH, extracts the values of the short-term power consumption value DH, the medium-term power consumption value ZH and the long-term power consumption value CH, substitutes the values into a formula to calculate, and calculates according to the formulaObtaining an energy consumption coefficient HNi, wherein h1, h2 and h3 are preset proportionality coefficients corresponding to a set short-term power consumption value DH, a set medium-term power consumption value ZH and a set long-term power consumption value CH respectively, and h1, h2 and h3 meet the requirements of h1+h2+h3=1, 0 < h3 < h2 < h1 < 1, h1=0.40, h2=0.34 and h3=0.26;
the energy consumption monitoring module sends the energy consumption coefficient HNi to the energy consumption display module.
Example 4:
based on any one of the above embodiments, embodiment 4 of the present invention is a building design platform, which has three functions;
one function is to divide the building model, and the specific process is as follows:
the architectural design platform compares the consumption value XH with a preset consumption threshold XHy:
if the consumption value XH is larger than or equal to the consumption threshold XHy, marking the building model related to the consumption value XH as an overtemperature model;
if the consumption value XH is smaller than the consumption threshold XHy, marking the building model related to the consumption value XH as a standard energy model, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to an energy consumption monitoring module;
the second function is to generate expert allocation instructions, and the specific process is as follows:
generating an expert allocation instruction after the building design platform user orders, and sending the expert allocation instruction to an expert allocation module;
thirdly, in order to obtain the selected object, the specific process is as follows:
and the building design platform sorts all the distribution objects k according to the order of expert distribution coefficients FPi from large to small, marks the distribution object k positioned at the first position as a selected object, and performs building design work according to the user requirements and the energy consumption display directory.
Example 5:
based on any of the above embodiments, embodiment 5 of the present invention is an energy consumption display module, and the function of the energy consumption display module is to obtain an energy consumption display directory, which specifically includes the following steps:
the energy consumption display module groups the energy consumption objects i of all the analysis models j to form n energy consumption display groups;
the energy consumption display module sorts all energy consumption objects i in the energy consumption display group according to the order of the energy consumption coefficients HNi from small to large to form n energy consumption display directories.
Example 6:
based on any of the above embodiments, embodiment 6 of the present invention is an expert allocation module, which is used for obtaining expert allocation information, where the expert allocation information includes an industrial value GS, a design value SJ, and a grading value PF, and the specific process is as follows:
after receiving the expert allocation instruction, the expert allocation module marks all building design experts as allocation objects k, k=1, … … and o in sequence, wherein o is a positive integer;
the expert allocation module obtains the total duration of the allocation object k in the construction design industry and marks the total duration as a working hour value GS;
the expert distribution module obtains the total number of times of the co-designed building of the distribution object k and the total sum of the co-designed building, marks the total sum of the co-designed building as a construction sub value JC and a construction sub value JE respectively, carries out quantization treatment on the construction sub value JC and the construction sub value JE, extracts the values of the construction sub value JC and the construction sub value JE, substitutes the values into a formula to calculate, and calculates according to the formulaObtaining a design value SJ, wherein s1 and s2 are preset proportional coefficients corresponding to a set establishment value JC and a establishment value JE respectively, s1 and s2 meet s1+s2=1, 0 < s1 < s2 < 1, s1=0.41 and s2=0.59;
the expert distribution module obtains the number of good evaluation times, the number of medium evaluation times and the number of bad evaluation times obtained by the distribution object k, marks the number of good evaluation times, the number of medium evaluation times and the number of bad evaluation times as a good evaluation value HP, a medium evaluation value ZP and a bad evaluation value CP respectively, carries out quantization processing on the good evaluation value HP, the medium evaluation value ZP and the bad evaluation value CP, extracts the values of the good evaluation value HP, the medium evaluation value ZP and the bad evaluation value CP, substitutes the values into a formula to calculate, and calculates according to the formulaObtaining a grading value PF, wherein p1, p2 and p3 are preset proportionality coefficients corresponding to a set good grading value HP, a set medium grading value ZP and a set difference grading value CP respectively, wherein p1, p2 and p3 meet p1+p2+p3=1, 0 < p1 < p2 < p3 < 1, p1=0.25, p2=0.33 and p3=0.42;
the expert allocation module sends the engineering value GS, the design value SJ and the scoring value PF to the data analysis module.
Example 7:
based on any of the above embodiments, embodiment 7 of the present invention is a data analysis module, which is used to obtain an expert distribution coefficient FPi, and specifically includes the following steps:
the data analysis module carries out quantization processing on the working hour value GS, the design value SJ and the grading value PF, extracts the numerical values of the working hour value GS, the design value SJ and the grading value PF, substitutes the numerical values into a formula for calculation, and calculates according to the formulaObtaining an expert allocation coefficient FPi, wherein pi is a mathematical constant, delta is a preset error adjustment factor, delta=0.982 is taken, c1, c2 and c3 are respectively preset weight factors corresponding to a set man-hour value GS, a design value SJ and a grading value PF, c1, c2 and c3 meet the condition that c1 > c2 > c3 > 2.562, c1=3.73, c2=3.21 and c3=2.84;
the data analysis module sends expert distribution coefficients FPi to the architectural design platform.
Based on the above embodiments 1-7, the working principle of the present invention is as follows:
according to the intelligent distribution system and method for building design expert based on data analysis, an energy consumption monitoring module is used for obtaining an electric energy value and a water energy value of a building model, a consumption value is obtained according to the electric energy value and the water energy value, the building model is divided into an excess energy model and a standard energy model according to the consumption value through a building design platform, an energy consumption analysis instruction is generated at the same time, after the energy consumption analysis instruction is received through the energy consumption monitoring module, all standard energy models are marked as analysis models, the analysis models are divided into energy consumption objects according to functions, energy consumption coefficients are obtained, an energy consumption display directory is obtained through an energy consumption display module according to the energy consumption coefficients, an expert distribution instruction is generated after a user of the building design platform places an order, expert distribution information of a distribution object is obtained after the expert distribution instruction is received through the expert distribution module, an expert distribution coefficient is obtained through the data analysis module, and a selected object is obtained through the building design platform according to the expert distribution coefficient; the system firstly carries out construction model and data acquisition and analysis on the buildings which are already designed in the historical data to obtain consumption values, the consumption values can comprehensively measure the energy-saving and energy-consuming conditions of the designed buildings, the larger the consumption values are, the worse the energy-saving effect is, the higher the energy consumption is, the building model is divided according to the consumption values, the building design with better energy-saving effect is subjected to data acquisition and analysis to obtain energy consumption coefficients, the energy consumption coefficients can comprehensively measure the energy-saving and energy-consuming conditions of energy-consuming objects, the larger the energy consumption coefficients are, the worse the energy-saving effect is, the higher the energy consumption is, the energy consumption objects are ranked according to the energy consumption coefficients to obtain energy consumption display lists, then the data acquisition and analysis are carried out on building design specialists of the building design, the expert distribution information is obtained according to the expert distribution information, the building design level of the building design specialists can be comprehensively measured, the higher the expert distribution coefficient is, the building design level is, the better the energy-saving effect can be realized, the higher the expert distribution coefficient is, and finally the selected objects are obtained according to the expert distribution coefficient; the system and the method for designing the building energy-saving expert can screen out the energy-consuming objects with lower energy consumption in the past design building process from the energy-consuming objects formed by different design schemes of the historical data for preferential display, and select high-level building design experts for preferential distribution, so that the building designed under the combination of the two has excellent energy-saving effect; the invention has the advantages of high precision, intelligence, comprehensiveness, easy usability and the like, realizes the comprehensive optimization of the building design process by establishing a building energy consumption model, data acquisition and data analysis and automatic distribution of building design specialists, can be widely applied to the fields of building design and energy conservation, and is beneficial to improving the energy efficiency of the building and reducing the energy consumption
It should be further noted that, the above formulas are all formulas obtained by collecting a large amount of data and performing software simulation, and selecting a formula close to the true value, and coefficients in the formulas are set by those skilled in the art according to actual situations.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined by the application.
Claims (10)
1. A data analysis-based architectural design expert intelligent distribution system, comprising:
the building design platform is used for generating an expert allocation instruction after the user orders, and sending the expert allocation instruction to the expert allocation module; and is also used for obtaining the selected object according to the expert allocation coefficient FPi;
the expert allocation module is used for acquiring expert allocation information of the allocation object k after receiving the expert allocation instruction and sending the expert allocation information to the data analysis module; the expert allocation information comprises an engineering value GS, a design value SJ and a scoring value PF;
the specific process of the expert allocation module for acquiring the expert allocation information is as follows:
after receiving the expert allocation instruction, marking all building design experts as allocation objects k, k=1, … …, o and o as positive integers in sequence;
acquiring the total duration of the allocation object k in the construction design industry, and marking the total duration as a working hour value GS;
obtaining total number of co-designed buildings and total amount of co-designed buildings of the distribution object k, respectively marking the total number of co-designed buildings and the total amount of co-designed buildings as a construction sub value JC and a construction sub value JE, carrying out quantization processing on the construction sub value JC and the construction sub value JE, and carrying out quantization processing on the construction sub value JC and the construction sub value JE according to a formulaObtaining a design value SJ, wherein s1 and s2 are respectively a set establishment value JC and establishment amountA preset proportionality coefficient corresponding to the value JE;
the number of good evaluation, medium evaluation and poor evaluation obtained by the distribution object k is obtained and marked as a good evaluation value HP, a medium evaluation value ZP and a poor evaluation value CP respectively, and the good evaluation value HP, the medium evaluation value ZP and the poor evaluation value CP are quantized according to the formulaObtaining a scoring value PF, wherein p1, p2 and p3 are preset proportional coefficients corresponding to the set good scoring value HP, the medium scoring value ZP and the difference scoring value CP respectively;
sending the engineering value GS, the design value SJ and the scoring value PF to a data analysis module;
and the data analysis module is used for obtaining expert allocation coefficients FPi according to the expert allocation information and sending the expert allocation coefficients FPi to the building design platform.
2. The intelligent distribution system for building design experts based on data analysis according to claim 1, wherein the specific process of obtaining the expert distribution coefficients FPi by the data analysis module is as follows:
quantizing the work value GS, the design value SJ and the grading value PF according to the formulaObtaining expert allocation coefficients FPi, wherein pi is a mathematical constant, delta is a preset error adjustment factor, and c1, c2 and c3 are preset weight factors corresponding to a set man-hour value GS, a design value SJ and a grading value PF respectively;
the expert allocation coefficients FPi are sent to the architectural design platform.
3. A data analysis based architectural design expert intelligent distribution system according to claim 1, further comprising:
the energy consumption monitoring module is used for acquiring the electric energy value DN and the water energy value SN of the building model, acquiring the consumption value XH according to the electric energy value DN and the water energy value SN, and sending the consumption value XH to the building design platform.
4. A data analysis based intelligent distribution system for architectural design specialists according to claim 3, wherein the specific process of obtaining the consumption value XH by the energy consumption monitoring module is as follows:
in the design process of the building, forming a building model by all the designed buildings according to building parameters, obtaining the electric energy consumption and the water consumption of the building model in unit time, respectively marking the electric energy consumption and the water consumption as an electric energy value DN and a water energy value SN, carrying out quantization treatment on the electric energy value DN and the water energy value SN, and according to a formulaObtaining a consumption value XH, wherein x1 and x2 are preset proportional coefficients corresponding to a set electric energy value DN and a water energy value SN respectively;
the consumption value XH is sent to the architectural design platform.
5. The intelligent distribution system of building design expert based on data analysis according to claim 1, wherein the building design platform is further used for dividing a building model into a super energy model and a standard energy model according to the consumption value XH, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to the energy consumption monitoring module;
the building design platform divides the building model as follows:
the consumption value XH is compared with a preset consumption threshold XHy:
if the consumption value XH is larger than or equal to the consumption threshold XHy, marking the building model related to the consumption value XH as an overtemperature model;
if the consumption value XH is smaller than the consumption threshold XHy, marking the building model related to the consumption value XH as a standard energy model, generating an energy consumption analysis instruction at the same time, and sending the energy consumption analysis instruction to the energy consumption monitoring module.
6. A data analysis based architectural design expert intelligent distribution system according to claim 1, further comprising:
the energy consumption monitoring module is used for marking all energy marking models as analysis models j after receiving an energy consumption analysis instruction, dividing the analysis models j into energy consumption objects i according to functions, acquiring energy consumption coefficients HNi and sending the energy consumption coefficients HNi to the energy consumption display module.
7. The intelligent distribution system for architectural design experts based on data analysis according to claim 6, wherein the specific process of the energy consumption monitoring module obtaining the energy consumption coefficient HNi is as follows:
after receiving the energy consumption analysis instruction, sequentially marking all energy-marking models as analysis models j, wherein j=1, … …, m and m are positive integers, dividing energy consumption parts in the analysis models j into energy consumption objects i, i=1, … … and n according to functions, wherein n is a positive integer;
acquiring the electric energy consumption of the energy consumption object i within one hour, marking the electric energy consumption as a short-term electric consumption value DH, acquiring the electric energy consumption of the energy consumption object i within one day, marking the electric energy consumption as a medium-term electric consumption value ZH, acquiring the electric energy consumption of the energy consumption object i within ten days, marking the electric energy consumption as a long-term electric consumption value CH, quantifying the short-term electric consumption value DH, the medium-term electric consumption value ZH and the long-term electric consumption value CH according to a formulaObtaining an energy consumption coefficient HNi, wherein h1, h2 and h3 are preset proportional coefficients corresponding to a set short-term power consumption value DH, a set medium-term power consumption value ZH and a set long-term power consumption value CH respectively;
the energy consumption coefficient HNi is sent to the energy consumption display module.
8. A data analysis based architectural design expert intelligent distribution system according to claim 1, further comprising:
and the energy consumption display module is used for obtaining an energy consumption display directory according to the energy consumption coefficient HNi.
9. The intelligent distribution system of building design expert based on data analysis according to claim 8, wherein the specific process of obtaining the energy consumption display directory by the energy consumption display module is as follows:
grouping energy consumption objects i of all analysis models j to form n energy consumption display groups;
and ordering all the energy consumption objects i in the energy consumption display group according to the order of the energy consumption coefficients HNi from small to large to form n energy consumption display directories.
10. The intelligent distribution method for the building design expert based on the data analysis is characterized by comprising the following steps of:
step one: the energy consumption monitoring module acquires an electric energy value DN and a water energy value SN of the building model, acquires a consumption value XH according to the electric energy value DN and the water energy value SN, and sends the consumption value XH to the building design platform;
step two: the building design platform divides the building model into an super energy model and a standard energy model according to the consumption value XH, generates an energy consumption analysis instruction at the same time, and sends the energy consumption analysis instruction to the energy consumption monitoring module;
step three: after receiving the energy consumption analysis instruction, the energy consumption monitoring module marks all energy-marking models as analysis models j, divides the analysis models j into energy consumption objects i according to functions, acquires energy consumption coefficients HNi, and sends the energy consumption coefficients HNi to the energy consumption display module;
step four: the energy consumption display module obtains an energy consumption display directory according to the energy consumption coefficient HNi;
step five: generating an expert allocation instruction after the building design platform user orders, and sending the expert allocation instruction to an expert allocation module;
step six: the expert allocation module receives an expert allocation instruction, acquires expert allocation information of an allocation object k, wherein the expert allocation information comprises an industrial value GS, a design value SJ and a scoring value PF, and sends the expert allocation information to the data analysis module;
step seven: the data analysis module obtains expert distribution coefficients FPi according to the expert distribution information and sends the expert distribution coefficients FPi to the building design platform;
step eight: the architectural design platform obtains the selected object based on the expert distribution coefficient FPi.
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