CN112948910A - Double-main-line office space transformation method and device - Google Patents
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Abstract
The invention provides a double-main-line office space transformation method and device, which can guide the office space transformation based on two main lines of a kinetic energy line and a service line of a building, so that the office space transformation is more comprehensive, the office space transformation is carried out according to indexes fed back and input by a user, and the office trend is met. In addition, the invention can carry out line and contact design according to the demand analysis of different user types under different scenes, plan and subdivide the whole and local functions of the office space, design a set of systematic office space service system, optimize the whole layout of the space and promote the whole process. The service design is applied to the whole process of office space transformation, so that the reasonable distribution layout of the building space environment is effectively guided, and light investment and maximized income are realized, so that users can be better served.
Description
Technical Field
The invention relates to a data acquisition and processing technology, in particular to a method and a device for reconstructing a double-main-line office space.
Background
The existing office space transformation is generally divided into the following four steps, including: building functional requirements, building design, construction and delivery. The user requirements are not comprehensively considered in the whole process, so that the layout of the building space environment is not reasonably arranged, and users cannot be better served. Meanwhile, office spaces are separated from past private offices, single office compartments and office stations and changed into modern functional office areas, shared office areas and team office areas, and future office spaces are developing towards mobile office and immersive office. The existing technology cannot adapt to the latest global trend of office space.
Disclosure of Invention
The embodiment of the invention provides a double-main-line office space transformation method and device, which can guide the office space transformation based on two main lines, namely a function line and a service line, so that the office space transformation is more comprehensive, the office space transformation is carried out according to indexes fed back and input by a user, and the office trend is met.
In a first aspect of the embodiments of the present invention, a method for reconstructing a dual-main-line office space is provided, where the method includes:
acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes;
generating design plan data based on the building function index, and generating a user psychological model based on the building service index;
generating build data based on the design data and a user mental model, wherein the build data is used to guide office space modification;
acquiring people flow of different areas of the office space and thermodynamic diagram data related to the people flow through an image acquisition device arranged in the modified office space;
feedback indexes input by the experiencers are obtained, and feedback data are generated based on the feedback indexes.
Optionally, in a possible implementation manner of the first aspect, the obtaining input demand data, where the demand data includes a building function index and a building service index, includes:
the building function index and the building service index are m, and the indexes are respectively as follows: x is the number of1,x2,…,xmN objects are total, and the j index of the ith object takes the value of xijBased on the formula (1) to perform the standard processing,
wherein
Namely, it is
sjThe sample mean and sample variance values for the jth index,
is a standardized index variable.
Optionally, in one possible implementation manner of the first aspect, generating design solution data based on the building function index, and generating a user psychological model based on the building service index includes:
obtaining the dimensionality and the numerical value of the functional index, and generating design scheme data based on the dimensionality and the numerical value of the building functional index, wherein the design scheme data is a design drawing;
and the user psychological model is a coordinate axis, and a coordinate system is generated based on the dimensionality and the numerical value of the building service index, wherein the coordinate axis has the dimensionality and the numerical value corresponding to the building service index.
Optionally, in a possible implementation manner of the first aspect, the acquiring, by an image acquisition device disposed in the modified office space, a flow rate of people in different areas of the office space, where the thermogram data about the flow rate of people includes:
presetting a plurality of image acquisition devices to respectively acquire images of different areas to generate pictures;
acquiring pictures at preset intervals, processing the pictures and acquiring the number of people in each picture;
and counting the number of people in the pictures of different acquisition devices at all times within a preset time period, and acquiring the number of people at each time and/or within the preset time period to generate thermodynamic diagram data of the people flow.
Optionally, in a possible implementation manner of the first aspect, the obtaining a feedback index input by an experiencer, and generating feedback data based on the feedback index includes:
receiving a plurality of feedback indexes and generating index data;
quantizing the index data to obtain an index quantized value, wherein the index data and the index quantized value are correspondingly set in advance;
comparing the index quantization values of any two index data, and generating a judgment matrix based on the comparison result;
checking the consistency of the judgment matrix;
and if the consistency of the judgment matrix passes the inspection, obtaining a weight coefficient of the relative importance of each layer in the matrix relative to the highest layer and index data corresponding to the weight coefficient for outputting.
Optionally, in a possible implementation manner of the first aspect, the index data includes a primary index data and a secondary index data;
the first-level index data is any one of facility information, environment information, service information and activity information;
the secondary index data is any one or more of catering information, accommodation information and entertainment information.
Optionally, in a possible implementation manner of the first aspect, the checking consistency of the judgment matrix includes:
setting a consistency index, wherein the consistency index is obtained based on formula (1),
wherein λ is an eigenvalue and n is an eigenmatrix dimension;
the larger Ci is, the smaller the consistency is, the closer CI is to zero, and the better the consistency is;
and comparing the ratio of the Ci to a random consistency index, and judging that the consistency of the matrix passes the inspection if the ratio is smaller than a preset value.
Optionally, in a possible implementation manner of the first aspect, the obtaining the random consistency index by the following steps includes:
obtaining a random consistency index based on formula (2)
Wherein, RI is a random consistency index.
In a second aspect of the embodiments of the present invention, there is provided a dual-main-line office space transformation apparatus, including:
a demand acquisition device: acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes;
the design generation device generates design scheme data based on the building function indexes and generates a user psychological model based on the building service indexes;
a construction guidance means for generating construction data for guiding the modification of the office space based on the design data and a user mental model;
the testing device is used for acquiring the people flow in different areas of the office space and thermodynamic diagram data related to the people flow through the image acquisition device arranged in the modified office space;
and using a feedback device for acquiring a feedback index input by the experiencer and generating feedback data based on the feedback index.
In a third aspect of the embodiments of the present invention, a readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to carry out the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
The double-main-line office space transformation method and device provided by the invention can guide the office space transformation based on the two main lines of the building function index and the building service index, so that the office space transformation is more comprehensive, the office space transformation is carried out according to the index fed back and input by a user, and the office trend is met.
The invention can carry out the design of the action line and the contact according to the demand analysis of different user types under different scenes, subdivide the overall and local function planning of the office space, design a set of systematic office space service system, optimize the overall layout of the space and promote the whole process. The service design is applied to the whole process of office space transformation, so that the reasonable distribution layout of the building space environment is effectively guided, and light weight input and maximum profit are realized, so that the service design can better serve users.
Drawings
FIG. 1 is a flow chart of a dual main line office space reconstruction method;
FIG. 2 is a flow chart of dual main lines of a function line and a service line;
FIG. 3 is a flow chart for generating a user mental model;
FIG. 4 is a diagram of a user psychology model;
FIG. 5 is a schematic diagram of an office space service model;
FIG. 6 is a schematic illustration of a thermodynamic diagram;
FIG. 7 is a flow chart of feedback indicator generation feedback data;
FIG. 8 is a diagram illustrating index structure division;
fig. 9 is a structural view of the dual main line office space reforming apparatus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. These particular embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The invention provides a method for reconstructing a double-main-line office space, which is shown in a flow chart in figure 1 and comprises the following steps:
s110, acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes.
Wherein the obtaining input demand data, wherein the demand data including building function metrics and building service metrics comprises:
the building function index and the building service index are m, and the indexes are respectively as follows: x is the number of1,x2,…,xmN objects are total, and the j index of the ith object takes the value of xijBased on the formula (1) to perform the standard processing,
wherein
Namely, it is
sjFor the sample mean and sample variance values for the jth index,
is a standardized index variable.
The eigenvalues and eigenvectors are computed. Calculating the eigenvalue lambda of the correlation coefficient matrix R1≥λ2≥…≥λmNot less than 0 and corresponding feature vector u1,u2,…,umWherein u isj＝(u1j,u2j,…,unj)TThe m new index variables are composed of the characteristic variables as follows:
wherein y ismIs the m-th main component.
And calculating the accumulated contribution rate according to the result and determining the final number of the principal components. Calculating the eigenvalue lambdajInformation contribution rate and cumulative contribution rate of (j ═ 1, 2.. multidot.m), principal component yjInformation contribution rate b ofjAs follows:
principal component y1,y2,…,ypHas a cumulative contribution rate ofpAs follows:
wherein when apThe closer to 1, the better the effect of selecting the first p index variables as principal components instead of the original m index variables will be. When the cumulative variance contribution rate reaches 85%, the current principal component is considered to be enough to reflect the information of the original variable.
The principal component load is calculated, as shown below, reflecting the correlation between the taken principal component and the original index.
Wherein λiIs a characteristic value; u. ofijRepresenting a characteristic value λiThe corresponding feature vector.
The communality factor variance is calculated as follows:
the effect of the original index on the selected p main components, namely the importance degree of the original index is reflected.
By the method, 58 indexes obtained initially are subjected to dimensionality reduction, and more valuable indexes are screened out to serve as the contents of the questionnaire survey.
The method comprises the following steps of collecting demand data information through questionnaire survey, user interview and other modes, analyzing and finding that the following five problems mainly exist: 1. lack of "person-oriented" employee experience scenarios; 2. the external culture transmission is weak, and the internal culture communication is tedious; 3. facility equipment is required to be optimized and improved comprehensively; 4. the conference space positioning is fuzzy and is not matched with the use requirement; 5. the office scene is single and homogeneous.
As shown in fig. 2, the flow of an embodiment of dual mainlines of functions and services is shown, wherein the service mainline includes a plurality of nodes, and the nodes are respectively office service demand, office space service model, office space service blueprint, service contact, service verification, service delivery and service evaluation. The function main line comprises building function requirements, building design, construction, payment and the like.
And S120, generating design scheme data based on the building function indexes, and generating a user psychological model based on the building service indexes.
As shown in fig. 3, generating design data based on the building function index, and generating a user psychological model based on the building service index includes:
s210, obtaining the dimensionality and the numerical value of the functional index, and generating design scheme data based on the dimensionality and the numerical value of the building functional index, wherein the design scheme data is a design drawing;
s220, the user psychological model is a coordinate axis, and a coordinate system is generated based on the dimensionality and the numerical value of the building service index, wherein the coordinate axis has the dimensionality and the numerical value corresponding to the building service index.
The design scheme is represented by drawing and documents according to construction tasks by designers in the building design and service model design. The service model design is to analyze from multiple aspects of functional space relevance, typical user experience flow, space attribute demand dimension, space open type demand and space privacy demand and establish an office space service model. The office space is first divided into five spatial regions: the method comprises the steps that a user psychological model is established for a working area, a temporary holding area, a social contact area, a conference area and a resource area according to the business purpose and the cultural target of each area. The user psychology models of the five workspace regions are analyzed and integrated to obtain an overall user psychology model as shown in fig. 4.
According to the user mental model, with the user as the center, the office efficiency, the enterprise display and the culture affiliation feeling are comprehensively considered, and an office space service model is built as shown in fig. 5.
And S130, generating construction data based on the design scheme data and the user psychological model, wherein the construction data is used for guiding the modification of the office space. Service contacts are introduced outside of office space reconstruction. The office space transformation is to construct the office space according to a building design scheme. And aiming at the characteristics of the five space modules and the user psychological model, the design of the service contact points is considered, and a set of visiting service system is established. For example, for a business department, aiming at the aim of concentrating on work, a partition with proper height is arranged, so that the privacy is ensured, and the communication among employees is not influenced. For the purpose of cultural affiliation, the barriers of the compartments are designed by the team according to cultural features.
S140, acquiring the flow of people in different areas of the office space and thermodynamic diagram data about the flow of people through the image acquisition device arranged in the modified office space.
Through setting up the people flow that the image acquisition device who sets up in office space behind the transformation gathered different regions of office space, the thermodynamic diagram data about the people flow includes:
presetting a plurality of image acquisition devices to respectively acquire images of different areas to generate pictures;
acquiring pictures at preset intervals, processing the pictures and acquiring the number of people in each picture;
and counting the number of people in the pictures of different acquisition devices at all times within a preset time period, and acquiring the number of people at each time and/or within the preset time period to generate thermodynamic diagram data of the people flow.
The method comprises two parts of function verification and service verification: the function verification tests the function realization conditions in turn according to the test points, such as whether a conference area is provided or not. And the service verification utilizes buried point collection and visual analysis to carry out service verification summary.
The embedded point acquisition is realized by arranging 8 image acquisition devices at specific positions, wherein the image acquisition devices can be cameras, so that the information of the whole area can be acquired, and the stay time and the moving route of the staff in each area are collected; collecting the use data of the conference space and the temporary holding space through a space reservation system; for office resources such as paper, printer usage data, collection is performed by the office resource system. The data are preprocessed and stored in a database. The collected data are analyzed and displayed by means of the visualization tool Echarts.
While the usage data for the user space is presented in the form of a thermodynamic diagram. The implementation principle of the thermodynamic diagram is a process of mapping discrete point information to a final image by a simple mathematical transformation. A Mask is created for the discrete point information, the Mask being a circular area whose radius is set to the area radius that affects the final thermodynamic image. The weight from the center point to the edge is reduced in sequence, and the gradual change process adopts linear change. And superposing all the Mask points to obtain a gray image. The weights of the overlapped parts are accumulated, and the numerical value of each pixel point in the gray-scale imageThe size is the sum of all Mask weights associated with it: v ═ Σ Vi. The higher the density of the discrete points is, the higher the value of the pixel points in the gray-scale image is, and the brighter the image is. And mapping the gray map onto the color image to obtain a final thermodynamic map. The server is responsible for collecting personnel activity data, processing the data into a fixed format and storing the data in a database, and providing a data query interface. And the server side acquires the number of people in a certain area through data mining after collecting the positioning data. The client sends the position data to inquire the server, calculates the density of the position points after acquiring the data, generates color values of all the points according to the color matching matrix, and finally obtains a thermodynamic diagram as shown in fig. 6.
S150, acquiring a feedback index input by the experiencer, and generating feedback data based on the feedback index, as shown in fig. 7, the acquiring the feedback index input by the experiencer, and the generating the feedback data based on the feedback index includes:
s310, receiving a plurality of feedback indexes and generating index data. The index data includes primary index data and secondary index data. The primary index data is any one or more of experience class, facility equipment class and space environment class. The second-level index data comprises the number of people using the office space, the satisfaction degree of personnel and the like. As shown in FIG. 8, the present invention divides the index structure into graphs.
S320, quantizing the index data to obtain an index quantized value, wherein the index data and the index quantized value are correspondingly set in advance. The way in which the quantification is done may be by scoring. Each index data may have a preset score, and is not limited herein.
S330, comparing the index quantization values of any two index data, and generating a judgment matrix based on the comparison result. Wherein, a judgment matrix is constructed, all indexes are put together for comparison, and a definite result is given, which is often not accepted by all people because of strong subjectivity. We use a consistency matrix to compare two factors with each other, using a 1-9 degree scalar to compare the relative importance of the two indices. 1 represents that the index has the lowest degree of importance, and 9 represents that the index has the highest degree of importance. Two comparisons between different indexesThe result of (c) constitutes a decision matrix. For example, the judgment matrix constructed for the first-level index experience class, the facility equipment class and the environment space class is
The relative importance of the experience class relative to the environment space class is 3, and the importance degree of the representative experience class index relative to the environment space class is higher.
And S340, checking the consistency of the judgment matrix. In step S40, the method includes:
setting a consistency index, wherein the consistency index is obtained based on formula (1),
wherein λ is an eigenvalue and n is an eigenmatrix dimension;
the larger Ci is, the smaller the consistency is, the closer CI is to zero, and the better the consistency is;
and comparing the ratio of the Ci to a random consistency index, and judging that the consistency of the matrix passes the inspection if the ratio is smaller than a preset value.
Optionally, in a possible implementation manner of the first aspect, the obtaining the random consistency index by the following steps includes:
obtaining a random consistency index based on formula (2)
Wherein, RI is a random consistency index.
And solving the characteristic vector of the judgment matrix and carrying out consistency check. Solving the maximum characteristic root lambda of the judgment matrixmaxThe feature vector W is normalized (the sum of the elements in the vector is 1) for the corresponding feature vector W. The value in W is the relative importance of the index value. Maximum characteristic root λmax4.197, the feature vector W is (0.429, 0.429, 0.142) T, experience class relative weightThe importance level is 0.429, the facility equipment class is relatively important 0.429, and the environmental space class is relatively important 0.142.
After the above steps are performed, consistency check is required to determine the allowable range of inconsistency of the matrix. The consistency index is defined as
λ is the eigenvalue and n is the eigenmatrix dimension. The larger the CI, the smaller the consistency; the closer the CI is to zero, the better the consistency. It is considered that the larger the order number of the matrix, the more random causes, and the more cases of the consistency deviation are caused. Thus introducing a random consistency index
And when judging whether the matrix has satisfactory consistency, comparing the consistency index CI with the random consistency index RI to obtain CR (CI/RI). It is generally accepted that if CR is less than 0.1, the matrix passes the consistency test. Otherwise, the judgment matrix needs to be reconstructed.
And S350, if the consistency of the judgment matrix passes the inspection, obtaining a weight coefficient of the relative importance of each layer in the matrix relative to the highest layer and outputting index data corresponding to the weight coefficient. And calculating the relative importance of each layer relative to the highest layer, and sorting to obtain a final weight coefficient. If the weight of a in the primary index is P1 and the weight of the secondary index B under the primary index is P2, the evaluation weight coefficient of the secondary index to the evaluation target is P ═ P1·P2。
The final service rating score is given by the following formula:
wherein n is the number of the secondary indexes, Pi is the weight of the index i, and Wi is the specific data corresponding to the index i. And obtaining the service evaluation by calculating the evaluation scores before and after the office space is modified.
Through the method, the service efficacy is evaluated, and a service feedback mechanism is established for optimizing the scheme and performing iterative upgrade.
In one embodiment, if the ratio to the RI is greater than a preset value, the matrix is determined to pass the consistency detection;
at this time, the steps of comparing the index quantization values of any two index data and generating a judgment matrix based on the comparison result are repeated.
A dual main line office space reforming apparatus, as shown in fig. 9, comprising:
a demand acquisition device: acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes;
the design generation device generates design scheme data based on the building function indexes and generates a user psychological model based on the building service indexes;
a construction guidance means for generating construction data for guiding the modification of the office space based on the design data and a user mental model;
the testing device is used for acquiring the people flow in different areas of the office space and thermodynamic diagram data related to the people flow through the image acquisition device arranged in the modified office space;
and using a feedback device for acquiring a feedback index input by the experiencer and generating feedback data based on the feedback index.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), or may be other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A double-main-line office space transformation method is characterized by comprising the following steps:
acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes;
generating design scheme data based on the building function indexes, and generating a user psychological model based on the building service indexes;
generating build data based on the design data and a user mental model, wherein the build data is used to guide office space modification;
acquiring the flow of people in different areas of the office space and thermodynamic diagram data about the flow of people by an image acquisition device arranged in the modified office space;
feedback indexes input by the experiencers are obtained, and feedback data are generated based on the feedback indexes.
2. The dual main line office space remodeling method of claim 1,
wherein the obtaining input demand data, wherein the demand data including building function metrics and building service metrics comprises:
the building function index and the building service index are m, and the indexes are respectively as follows: x is the number of1,x2,…,xmN objects are total, and the j index of the ith object takes the value of xijBased on the formula (1) to perform the standard processing,
wherein
Namely, it is
sjSample mean and sample variance for the jth indexThe value of the one or more of,
is a standardized index variable.
3. The dual main line office space remodeling method of claim 1,
generating design plan data based on the building function index, and generating a user mental model based on the building service index includes:
obtaining the dimensionality and the numerical value of the functional index, and generating design scheme data based on the dimensionality and the numerical value of the building functional index, wherein the design scheme data is a design drawing;
and the user psychological model is a coordinate axis, and a coordinate system is generated based on the dimensionality and the numerical value of the building service index, wherein the coordinate axis has the dimensionality and the numerical value corresponding to the building service index.
4. The dual main line office space remodeling method of claim 1,
through set up the flow of people who gathers the different regions of office space in the image acquisition device who reforms transform back office space, the thermodynamic diagram data about the flow of people include:
presetting a plurality of image acquisition devices to respectively acquire images of different areas to generate pictures;
acquiring pictures at preset intervals, processing the pictures and acquiring the number of people in each picture;
and counting the number of people in all the pictures of different acquisition devices at all times within a preset time period, and acquiring the number of people at each time and/or within the preset time period to generate thermodynamic diagram data of the people flow.
5. The dual main line office space remodeling method of claim 1,
the obtaining of the feedback index input by the experiencer and the generating of the feedback data based on the feedback index comprise:
receiving a plurality of feedback indexes and generating index data;
quantizing the index data to obtain an index quantized value, wherein the index data and the index quantized value are correspondingly set in advance;
comparing the index quantization values of any two index data, and generating a judgment matrix based on the comparison result;
checking the consistency of the judgment matrix;
and if the consistency of the judgment matrix passes the inspection, obtaining a weight coefficient of the relative importance of each layer in the matrix relative to the highest layer and index data corresponding to the weight coefficient for outputting.
6. The dual main line office space remodeling method of claim 5,
wherein the index data comprises primary index data and secondary index data;
the first-level index data is any one of facility information, environment information, service information and activity information;
the secondary index data is any one or more of catering information, accommodation information and entertainment information.
7. The dual main line office space remodeling method of claim 5,
the checking the consistency of the judgment matrix comprises:
setting a consistency index, wherein the consistency index is obtained based on formula (1),
wherein λ is an eigenvalue and n is an eigenmatrix dimension;
the larger the CI is, the smaller the consistency is, the closer the CI is to zero, and the better the consistency is;
and comparing the ratio of the CI to a random consistency index, and if the ratio is smaller than a preset value, judging that the consistency of the matrix passes the inspection.
8. The dual main line office space remodeling method of claim 7,
wherein the random consistency index is obtained by the steps comprising:
obtaining a random consistency index based on formula (2)
Wherein, RI is a random consistency index.
9. A dual main line office space transformation device, comprising:
a demand acquisition device: acquiring input demand data, wherein the demand data comprises building function indexes and building service indexes;
the design generation device generates design scheme data based on the building function index and generates a user psychological model based on the building service index;
a construction guidance means for generating construction data for guiding the modification of the office space based on the design data and a user mental model;
the testing device is used for acquiring the flow of people in different areas of the office space and thermodynamic diagram data related to the flow of people through the image acquisition device arranged in the modified office space;
and using a feedback device for acquiring a feedback index input by the experiencer and generating feedback data based on the feedback index.
10. A readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
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