Standby operation evaluation method for gymnasium based on building parameters
Technical Field
The invention relates to the field of building design and maintenance, in particular to a gymnasium sustainable operation evaluation method based on building parameters.
Background
The stadium is a professional place for performing sports training, sports competition and physical exercise, and is various sports places specially built for meeting the requirements of sports training, sports competition and mass sports consumption, and mainly comprises a stadium, a stadium and a natatorium which are open to the public and provide various services, a track and field shed required by sports teaching training, a wind and rain playground, a playground and other various indoor and outdoor places, a sports club, a gymnasium and other simple fitness and entertainment places and the like required by sports fitness and entertainment activities.
At present, in the feasibility research and scheme stage of venue construction, the venue is designed mainly by means of engineering experience of design and analysis personnel and design related building indexes, no related evaluation method is available, the method is suitable for sustainable operation evaluation of existing stadiums and newly-built stadiums, deep design analysis on actual operation health and economy of venues is also unavailable, in the actual operation stage of venues, no related indexes are available for evaluating the operation condition of venues, the actual operation condition of each venue is uneven, and no theoretical basis for optimizing the current operation transition state exists.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a gymnasium sustainable operation evaluation method based on building parameters.
The purpose of the invention can be realized by the following technical scheme:
a gymnasium sustainable operation evaluation method based on building parameters comprises the following steps:
1) respectively acquiring fixed parameters and operating parameters of a gymnasium, and performing data cleaning on the operating parameters;
2) determining an evaluation index, and constructing a system architecture of a sustainable operation evaluation model of the gymnasium according to the correlation between the evaluation index and fixed parameters and operation parameters of the gymnasium;
3) the influence weight is assigned and optimized based on a system architecture of the stadium sustainable operation evaluation model to form a stadium sustainable operation evaluation model;
4) and applying the sustainable operation evaluation model of the gymnasium to carry out sustainable operation of the existing gymnasium or the newly-built gymnasium.
In the step 1), the operation parameters are subjected to data cleaning to remove interference data, and abnormal values in the data are distinguished and removed by drawing a box type graph.
In the step 2), the system architecture of the sustainable operation evaluation model of the gym is composed of a plurality of first-level indexes and corresponding second-level indexes under each first-level index, the first-level indexes are evaluation indexes serving as dependent variables, and the second-level indexes are fixed parameters and operation parameters of the gym serving as independent variables.
In the step 2), the first-level indexes have 8 dimensions including site selection and scale P 1 Sports process P 2 And intelligent venue P 3 Functional use P 4 Scene transition P 5 Energy consumption P 6 Maintenance P 7 And income and expense P 8 ,
The site selection and the scale P 1 And sports Process P 2 The next two-level index is specifically a fixed parameter of the gymnasium.
The site selection and the scale P 1 The next two-level index comprises venue site selection H 1 Venue scale H 2 Accessibility H of venue 3 And the number of the parking lots H 4 。
The sports process P 2 The second level index comprises sports technology P 2 The lower secondary index comprises the outer wallGuard structure H 5 Roofing structural style H 6 Site size H 7 Ice surface area H 8 Ice rink process and technique H 9 。
The intelligent venue P 3 Functional use P 4 Scene transition P 5 Energy consumption P 6 And maintenance P 7 And income and expense P 8 The next two-level index is specifically the operating parameter of the gymnasium.
The intelligent venue P 3 The lower secondary indexes comprise a venue intelligent control system H 10 And a smart venue service H 11 ;
Said function uses P 4 The second level indicators include sports event H 12 Health care H 13 Entertainment activity H 14 Trade show H 15 Service function H 16 Operation mode H 17 ;
The scene transition P 5 The second level index includes the seat arrangement mode H 18 Ground structure H of field 19 Use site reservation process H 20 Whether or not to apply assembly technique H 21 Flexibility of auxiliary room separation H 22 Dynamic adjustability of rebroadcasting system H 23 Conversion cost H 24 Scene transition activity H 25 ;
Said energy consumption P 6 The lower secondary index comprises daily basic operation energy consumption H 26 Energy consumption H for sports event operation 27 And energy consumption H for operation of entertainment activities 28 And energy consumption H for exhibition and operation of trade fair 29 And electric competition operation energy consumption H 30 Renewable energy utilization H 31 ;
Said maintenance P 7 The next two level index includes the venue maintenance cost H 32 Ice field maintenance cost H 33 Onshore site maintenance cost H 34 Manpower cost H 35 Maintenance cost H of automation equipment 36 Special outsourcing maintenance cost H 37 ;
Said income and expense P 8 The next two-level index comprises the stadium net profit H 38 Body of Chinese character' tianSports and training income H 39 Health-care income H 40 Income H of entertainment activities 41 And the exhibition income H of the trade fair 42 Income for electric contests H4 3 Business operation income H 44 Maintenance expenditure H 45 Cost saving of energy saving measures H 46 。
In the step 3), the weights of the primary indexes and the secondary indexes in the sustainable operation evaluation model of the gym are assigned and optimized by a combined evaluation method combining a delphire method and an expert survey method, and the expression of the sustainable operation performance S of the gym is as follows:
P i =∑w j ·H j
wherein, W i Is the ith primary index P i Weight of, w j Is the jth secondary index H j And j is 1,2 … 46.
The method also includes the steps of:
5) performing software platform packaging on the data processing and calculating process of the gymnasium sustainable operation evaluation model to form formatted data, and presenting an evaluation result in a form and graph mode;
6) and testing and correcting the sustainable operation evaluation model of the gymnasium by using the operation data of the gymnasium continuously researched and researched subsequently, so that the evaluation accuracy of the evaluation model is improved.
Compared with the prior art, the invention has the following advantages:
the method and the system construct a set of unified and complete evaluation model by combining the fixed parameters and the operating parameters of the stadium, overcome the defects that in the prior art, the fixed parameters are used for independently evaluating the sustainable operability of the existing stadium, and the operating parameters are used for independently evaluating the sustainable operability of the newly-built stadium.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a view showing an evaluation model architecture.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Examples
As shown in FIG. 1, the invention provides a method for evaluating sustainable operation of a gymnasium based on building parameters, which comprises the following steps:
1) collecting and combing the contents of the venue operation database according to the element scenes, determining the venue operation analysis angle and the adopted evaluation index, processing and sorting the collected venue operation parameters, and forming a pattern suitable for data analysis;
2) performing data cleaning on the operation parameters of the venue, eliminating interference data, combining and deducing related effective data, screening effective data meeting requirements according to various factors such as year, zone bit, building grade, operation mode and the like, drawing a box type graph to identify abnormal values in a data batch, and removing abnormal data;
3) obtaining the relation between each evaluation index as a dependent variable and a plurality of independent variables according to the fixed parameters and the operation parameters of the gymnasium as the independent variables, obtaining the influence weight of the independent variables on the dependent variables, and obtaining a preliminary evaluation model, thereby obtaining the operation results of the gymnasium which can be evaluated by the fixed parameters and the operation parameters of the building;
the invention adopts the multivariate linear regression to analyze the relevance between the fixed parameters and the operation parameters of each gymnasium and each evaluation index, constructs an evaluation system framework of an evaluation model according to the relevance, and forms a complete evaluation model based on the evaluation system framework and the matching of weight assignment.
The basic idea of multiple linear regression, which quantitatively describes the dependence between a dependent variable and independent variables by using a regression equation, is that although there is no strict and deterministic functional relationship between the independent variables and the dependent variables, it can try to find out the mathematical expression that best represents the relationship between them.
In this example, multiple linear regression analysis requires that the data satisfy the following 4 conditions:
(1) at least 2 independent variables are needed and are independent of each other;
(2) the dependent variable is a continuous variable (in this case, the yield is a continuous variable);
(3) the data has the characteristics of homogeneous variance, no abnormal value and normal distribution;
(4) there is no multiple collinearity among the arguments.
For the acquisition of the influence weight of the independent variable on the dependent variable, the influence weight in the constructed evaluation model is assigned and optimized by using a combined evaluation method of a Delphi method and an expert survey method, so that the evaluation is more accurate and objective;
4) performing software platform packaging on the processing and calculating steps of the evaluation model data to form formatted data, presenting data analysis results in a form and graph mode by means of three-dimensional model interactive design, and predicting the sustainable operation theory system of the stadium into the framework and development trend by using the evaluation model;
5) and testing and correcting the evaluation model by using the follow-up continuously researched and researched gymnasium data, and continuously improving and correcting the accuracy of the model.
In the step 1), the evaluation indexes include 8 dimensions (primary indexes), namely site selection and scale, sports technology, intelligent stadiums, function use, scene conversion, energy consumption, maintenance and income expenditure, and the evaluation indexes are respectively used as dependent variables.
As shown in fig. 2, each primary index is composed of a corresponding argument (secondary index).
Site selection and scale P 1 The second level index includes venue site H 1 Venue scale H 2 Accessibility H of venue 3 And the number of the parking lots H 4 ;
Sports art P 2 The lower secondary index comprises an outer wall enclosure structure H 5 Roofing structural style H 6 Site size H 7 Ice surface area H 8 Ice rink process and technique H 9 ;
Intelligent venue P 3 The lower secondary indexes comprise a venue intelligent control system H 10 And a smart venue service H 11 ;
Function usage P 4 The second level indicators include sports events H 12 National health care H 13 Entertainment activity H 14 Trade show H 15 Service function H 16 Operation mode H 17 ;
Scene transition P 5 The second level index includes the seat arrangement mode H 18 Ground structure H of field 19 Use site reservation process H 20 Whether or not assembly technique H is applied 21 Flexibility of auxiliary room separation H 22 Dynamic adjustability of relay system H 23 Conversion cost H 24 Scene transition activity H 25 ;
Energy consumption P 6 The second level index comprises daily basic operation energy consumption H 26 Energy consumption H for sports event operation 27 Energy consumption H for entertainment activity 28 And energy consumption H for exhibition and operation of trade fair 29 And electric competition operation energy consumption H 30 Renewable energy utilization H 31 ;
Maintenance P 7 The next two level index includes the venue maintenance cost H 32 Maintenance cost H of ice rink 33 Onshore site maintenance cost H 34 Manpower cost H 35 Maintenance cost H of automation equipment 36 Special outsourcing maintenance cost H 37 ;
Income and expense P 8 The next two-level index comprises the stadium net profit H 38 Sports events and training income H 39 Health-care income H 40 Income H of entertainment activities 41 And the exhibition income H of the trade fair 42 Income for electric contests H4 3 Business operation income H 44 Maintenance expenditure H 45 And the expenditure H saved by energy-saving measures 46 。
In step 3), the influence weight in the evaluation model comprises the weight W of the primary index 1 -W 8 And the weight w of the secondary index 1 -w 46 For each primary index, the evaluation value of each primary index is calculated by adopting a weighted summation mode, and the total evaluation value of sustainable operation is obtained by carrying out weighted summation on the evaluation values of each primary index, namely:
P i =∑w j ·H j
in conclusion, the method and the system construct a set of unified and complete evaluation model by combining the fixed parameters and the operating parameters of the stadium, overcome the defects that in the prior art, the fixed parameters are used for independently evaluating the sustainable operation performance of the existing stadium, and the operating parameters are used for independently evaluating the sustainable operation performance of the newly-built stadium.