A medical process parametric design and expression method, system and medium

Abstract

The present invention discloses a medical process parametric design and expression method, system and medium; it relates to the technical field of medical building design; the scheme obtains basic medical process data, and constructs a medical process parametric model by splitting and reorganizing the basic medical process data through a parametric design platform to obtain the association result between the data and the building space; and updates the association result between the data and the building space according to the adjustment instruction, and adjusts the output medical building space visualization data in real time; realizes the rapid generation, adjustment and visualization display of medical related parameters, and realizes the association and real-time linkage of the previous and next data; the scheme introduces the parametric design thinking into the medical process parametric design and expression process, and realizes the parameter association and real-time linkage of the medical process parametric design and expression process.

Description

Technical Field

[0001] The present invention relates to the technical field of medical building design, and in particular to a medical process parametric design and expression method, system and medium. Background Art

[0002] In the design of medical buildings, medical technology is an important main line throughout the entire hospital design. It is a bridge of communication between architects and hospital users, and an important basis and criterion for the division of various medical functional areas. In actual projects, due to the lack of standardization and parameterization of medical technology functional modules, repeated design work is often caused. At the same time, after the medical technology docking with the hospital user, it takes a lot of time to adjust the plan. The traditional medical process plan presentation form plane, process parameters and other parts lack data correlation with each other, resulting in a domino effect on the whole plan adjustment. All relevant drawings and medical process parameter statistical information must be adjusted manually, which is inefficient and has a high error rate. Summary of the invention

[0003] The technical problem to be solved by the present invention is that the traditional medical process scheme presentation forms such as planes and process parameters lack data correlation with each other, resulting in a ripple effect on the whole scheme when the scheme is adjusted. All relevant drawings and medical process parameter statistical information must be adjusted manually, which is inefficient and has a high error rate. The present invention aims to provide a medical process parametric design and expression method, system and medium, which constructs a medical process parametric model based on the basic data of the medical process through a parametric design platform to obtain the correlation result between the data and the building space; and update the correlation result between the data and the building space according to the adjustment instruction, and adjust the output medical building space visualization data in real time; realize the rapid generation, adjustment and visualization of medical related parameters with charts, and realize the correlation and real-time linkage of the previous and next data.

[0004] The present invention is achieved through the following technical solutions:

[0005] This solution provides a parametric design and expression method for medical processes, including:

[0006] Step 1: Obtain basic data of medical technology;

[0007] Step 2: preprocessing the basic medical process data;

[0008] Step 3: Input the pre-processed medical process basic data into the parametric design platform for splitting and reorganization, and establish a medical process parametric model to obtain the correlation results between the data and the architectural space;

[0009] Step 4: constructing and outputting medical building space visualization data based on the association results;

[0010] Step 5: Obtain an adjustment instruction, update the association result according to the adjustment instruction, and return to step 4, and repeat steps 4 to 5 until there is no adjustment instruction.

[0011] A further optimization scheme is to pre-process the basic data of the medical process, including the following method:

[0012] The medical process basic data is divided into multiple categories of functional data according to function, each category of functional data includes one or more groups of functional data; each group of functional data includes: parameter data, functional correlation data, data correlation data and specification data; the multiple categories of functional data include: public service functional data, medical and technical functional data and auxiliary functional data;

[0013] Arrange each group of data and classify the data into its data type: sort the data according to qualitative and quantitative requirements; the data types include fixed parameter data and variable parameter data;

[0014] The fixed parameter data includes parameter data that does not change with the change of space size, and the variable parameter data includes parameter data that changes with the change of space size.

[0015] A further optimization plan is that the public service function data is the building space data used for public use during the medical process, including: waiting hall, elevator waiting hall, etc.;

[0016] The medical and technical functional data refers to the building space data used for medical purposes during the medical process, including: treatment rooms, laboratory rooms, etc.;

[0017] The auxiliary function data refers to the building space data that meets medical, office and living purposes, including: toilets, shower rooms, etc.

[0018] A further optimization scheme is that the pre-processed basic medical process data is input into the parametric design platform for splitting and reorganization, and a medical process parametric model is established to obtain the correlation result between the data and the architectural space, including the method:

[0019] Each set of functional data corresponds to a medical process parameterized model;

[0020] The medical process parametric model uses functional relevance and data relevance as constraint conditions to establish a functional relationship between parameter data; parameter data and specification data are used as inputs of the medical process parametric model to obtain the association result between data and architectural space.

[0021] A further optimization scheme is that updating the association result according to the adjustment instruction includes the following method:

[0022] Analyze the adjustment instruction to obtain the correction parameter data;

[0023] The corresponding parameter data are replaced by the modified parameters, and the replaced parameter data are input into the medical process parametric model to obtain the association result between the updated data and the architectural space.

[0024] The present invention also provides a medical process parametric design and expression system for implementing the above-mentioned medical process parametric design and expression method, the system comprising:

[0025] Acquisition module, used to obtain basic data of medical processes;

[0026] A preprocessing module, used for preprocessing the basic medical process data;

[0027] The translation module is used to input the pre-processed basic medical process data into the parametric design platform for splitting and reorganizing to establish a medical process parametric model, so as to obtain the correlation results between the data and the architectural space;

[0028] An output module, used for constructing medical building space visualization data based on the association result or the updated association result, and outputting the medical building space visualization data;

[0029] Adjustment module: used to obtain adjustment instructions, update the association result between data and building space according to the adjustment instructions, and send the updated association result to the output module.

[0030] A further optimization scheme is that the preprocessing module includes:

[0031] A division unit is used to divide the basic medical process data into multiple categories of functional data according to functions, each category of functional data includes one or more groups of functional data; each group of functional data includes: parameter data, functional correlation data, data correlation data and specification data; the multiple categories of functional data include: public service functional data, medical and technical functional data and auxiliary functional data;

[0032] A combing unit is used to sort out each group of data and classify the data into its data type: combing the data according to qualitative requirements and quantitative requirements; the data type includes fixed parameter data and variable parameter data;

[0033] The fixed parameter data includes parameter data that does not change with the change of space size, and the variable parameter data includes parameter data that changes with the change of space size.

[0034] A further optimization scheme is that the output module includes: a three-dimensional space visualization unit, a space form visualization unit and a data visualization unit;

[0035] The three-dimensional space visualization unit is used to display the medical building space in three dimensions;

[0036] The spatial form visualization unit is used to display the spatial form of the medical building space for visualization;

[0037] The data visualization unit is used to visualize the data of the medical building space.

[0038] A further optimization scheme is that the adjustment module includes a model adjustment unit and a parameter adjustment unit;

[0039] The model adjustment unit is used to update the association result between the data and the building space directly on the medical process parameterized model according to the adjustment instruction;

[0040] The parameter adjustment unit is used to update the parameter data input into the medical process parameterized model according to the adjustment instruction.

[0041] The present solution also provides a computer-readable medium having a computer program stored thereon, and the computer program is executed by a processor to implement a medical process parameterized design and expression method as described above.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] The present invention provides a medical process parametric design and expression method, system and medium; based on the basic data of medical processes, a medical process parametric model is constructed by splitting and reorganizing through a parametric design platform to obtain the association result between the data and the building space; and the association result between the data and the building space is updated according to the adjustment instruction, and the output medical building space visualization data is adjusted in real time; the medical related parameters are quickly generated, adjusted, and visualized with charts, and the previous and next data are associated and linked in real time; this solution introduces parametric design thinking into the medical process parametric design and expression process, and realizes the parameter association and real-time linkage of the visualization process of the medical building space. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0045] Figure 1 It is a flow chart of the parametric design and expression method of medical process;

[0046] Figure 2 This is a schematic diagram of the principle of preprocessing basic data of medical technology;

[0047] Figure 3 This is a schematic diagram of the principle of splitting and reorganizing basic data of medical technology;

[0048] Figure 4 This is a schematic diagram of the medical building space visualization effect;

[0049] Figure 5 Schematic diagram of the parametric design and expression system for medical processes;

[0050] Figure 6 It is a schematic diagram of the principle of the parametric design and expression system of medical technology;

[0051] Figure 7 A schematic diagram of the process of indicator measurement A;

[0052] Figure 8 A process flow diagram for indicator measurement;

[0053] Fig. 9 It is a schematic diagram of the process of indicator measurement B;

[0054] Fig.10 It is a schematic diagram of the process flow of indicator measurement B;

[0055] Fig.11 Schematic diagram of the process of calculating C for the indicator;

[0056] Fig.12 The schematic diagram of the process flow for indicator C measurement;

[0057] Fig.13 It is a schematic diagram of the process of indicator measurement D;

[0058] Fig.14 The schematic diagram of the process flow for indicator measurement D;

[0059] Fig.15 To visualize the process of key areas;

[0060] Fig.16 Visualize the results for the critical area;

[0061] Fig.17 A schematic diagram of the parametric model of medical technology for a certain level of hospital function;

[0062] Fig.18 This is a schematic diagram of the generation and optimization process of the visualization data of a certain floor of the medical building space in the hospital;

[0063] Fig.19 This is a schematic diagram for comparing the visualization data of medical building space before and after optimization;

[0064] Fig. 20 Provides a visual display of the first-level process results of the medical building space of the diagnosis and treatment unit;

[0065] Fig.21 This is a secondary flow diagram of the medical building space for the diagnosis and treatment unit;

[0066] Fig. 22 This is a secondary flow diagram of the medical building space for the diagnosis and treatment unit;

[0067] Fig.23 This is a schematic diagram of the optimization results of the secondary process layout within the diagnosis and treatment unit;

[0068] Fig.24 A schematic diagram of the parameterized generation process for the three-level process in the clinic;

[0069] Fig.25 A schematic diagram of the parameterized generation process for the three-level process in the clinic;

[0070] Fig.26 Select the operation visualization diagram for the clinic type;

[0071] Fig. 27 A visual display diagram of the complete treatment unit floor plan and related information, and the operation of selecting the type of treatment room;

[0072] Fig.28 This is a schematic diagram of the visual expression interface;

[0073] Fig.29 To update the interface diagram in real time;

[0074] Fig.30 A schematic diagram of the overall process flow for visually representing the core area of ​​the medical building space in Example 3;

[0075] Fig.31 A schematic diagram of a detailed procedure flow for visually representing the core area of ​​a medical building space in Example 3;

[0076] Fig.32 Schematic diagram of the multi-scheme comparison process of Example 3. DETAILED DESCRIPTION

[0077] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0078] In the design of medical buildings, in traditional visualization technology, there are problems such as the lack of linkage between medical process plane parameters, the inability to quickly modify the plane after the design conditions change, the inability to quickly synchronize statistical parameters, and the inability to link the medical process plane with data visualization and space visualization in real time. In view of this, this solution provides the following embodiments to solve the above technical problems:

[0079] Example 1

[0080] This embodiment provides a medical process parameterized design and expression method, such as Figure 1 As shown, including:

[0081] Step 1: Obtain basic medical technology data; the basic medical technology data in this solution includes: medical technology data (such as the number of beds, medical technology departments, emergency departments, outpatient departments, business management, hospital life, etc.)

[0082] Step 2: preprocessing the basic medical process data;

[0083] Preprocessing the basic medical process data includes:

[0084] like Figure 2 As shown, the basic data of medical technology is divided into multiple categories of functional data according to function, and each category of functional data contains one or more groups of functional data; the multiple categories of functional data include: public service functional data, medical and medical technology functional data and auxiliary functional data; public service functional data is the building space data used for public use in the medical process, including: waiting hall, elevator lobby, etc.; medical and medical technology functional data is the building space data used for medical use in the medical process, including: treatment room, laboratory, etc.; auxiliary functional data is the building space data that meets medical, office and living purposes, including: toilet, shower room, etc. The relevant data of each waiting hall, elevator lobby, treatment room, laboratory, toilet, shower room, etc. respectively constitute their own set of functional data. Each group of functional data is a medical technology functional module.

[0085] Each set of functional data includes: parameter data, functional correlation data (such as common basic concepts), data correlation data (such as formulas) and specification data;

[0086] Different from the standard functional modules, the plan of the medical building is a parametric topology based on the standard functional module plan according to the actual scheme form, room size, relevant building specifications, and changes in hospital functional configuration to form the medical functional plan of the actual scheme project.

[0087] Arrange each group of data and classify the data into its data type: sort the data according to qualitative and quantitative requirements; the data types include fixed parameter data and variable parameter data;

[0088] The fixed parameter data include parameter data that does not change with the change of space size (such as the minimum corridor width for medical staff in the diagnosis and treatment unit, the minimum corridor width for patients waiting on one side, the minimum corridor width for patients waiting on both sides, etc.), and the variable parameter data include parameter data that changes with the change of space size (such as the number of consulting rooms in the diagnosis and treatment unit, the number of patients visiting the diagnosis and treatment unit per day, etc.). The change in variable parameters depends on the change in unit indicators and space size. For example, the number of diagnosis and treatment in the diagnosis and treatment unit is equal to the area of ​​the diagnosis and treatment unit minus auxiliary areas such as corridors and medical offices, and then divided by the area of ​​a single consulting room. Auxiliary functions such as corridors, medical offices, and the minimum area of ​​a single consulting room can be regarded as fixed parameters, so the change in the number of consulting rooms in the diagnosis and treatment unit depends on the change in the total area of ​​the diagnosis and treatment unit.

[0089] In addition, the preprocessing of the basic medical process data also includes an indicator calculation process, in which indicators are calculated based on the medical process data to obtain data such as the total area of ​​medical buildings and the sub-area of ​​medical buildings.

[0090] Data preprocessing is the prerequisite and design basis for the parametric design of medical process functional modules, providing a real and reliable data foundation for the next step of work.

[0091] Step 3: Input the pre-processed medical process basic data into the parametric design platform for splitting and reorganization, and establish a medical process parametric model to obtain the correlation results between the data and the architectural space; the specific methods include:

[0092] Each set of functional data corresponds to a medical process parameterized model;

[0093] The medical process parametric model uses functional relevance and data relevance as constraint conditions to establish a functional relationship between parameter data; parameter data and specification data are used as inputs of the medical process parametric model to obtain the association result between data and architectural space.

[0094] like Figure 3As shown in the figure, the data in the medical process function module (in the functional data group) is split and recombined to obtain the medical process parametric model, and the functional relationship between data and space is established. According to the data type, it can be divided into design prerequisites and design constraints. Usually, basic concepts (functional relevance) and formulas (data relevance) are classified as constraints, which are used to establish the functional relationship between parameters; other data are classified as design prerequisites as input parameters of the medical process parametric model; then, according to the design requirements, the common parameter conclusions of various professions are integrated to obtain the output parameters of the medical process parametric model. The three parts of design prerequisites (input parameters), constraints (functional relationship), and parameter conclusions (output parameters) constitute a complete medical process parametric model. The medical process parametric model is the core content of the parametric design display of the medical process function module.

[0095] Taking the diagnosis and treatment unit as an example, the internal parameters of the diagnosis and treatment unit function module (diagnosis and treatment unit data group) can be divided into the following data:

[0096] Data 1: Axis of diagnosis and treatment unit;

[0097] Data 2: diagnosis and treatment unit area boundary line;

[0098] Data 3: When waiting for patients on one side of the corridor, the net width of the corridor should not be less than 2.40m; when waiting for patients on both sides of the corridor, the net width of the corridor should not be less than 300m;

[0099] Data 4: The net size of a double examination room should not be less than 3.00m, and the usable area should not be less than 12.00m 2 ;

[0100] Data 5: The net size of a single examination room should not be less than 2.50m, and the usable area should not be less than 8.00m 2 ;

[0101] Data 6: The net width of the medical corridor can be 1.800m if possible, with a minimum fire protection width of 1.200mm;

[0102] Figure 7: Minimum spatial pattern

[0103] Mode 1: Medical corridor (1.8m) + consulting room + patient corridor (3m) + consulting room + medical corridor (1.8m) = 13m;

[0104] Mode 2: Medical corridor (1.8m) + consulting room + patient corridor (3m) + consulting room + medical corridor (1.8m) + consulting room + patient corridor (2.4m) = 18.6m;

[0105] Mode 3: Medical corridor (1.8m) + consulting room + patient corridor (3m) + consulting room + medical corridor (1.8m) + consulting room + patient corridor (3m) + consulting room + medical corridor (1.8m) = 24.2m;

[0106] Data 8: Daily outpatient visits in a single room: Current version: 50-60 Revised version: 60-80;

[0107] Data 9: The peak number of patients in general outpatient clinics is 30%, of which 60% are waiting for treatment;

[0108] Data 10: Waiting area per person: 1.5m 2 / people;

[0109] Data 11: Number of clinics;

[0110] Data 12: Waiting area = 7 people (3 rounds, 2 people per round) * number of consulting rooms * average area per person (1.5m 2 );

[0111] Among the above data, data 1 and data 2 can be used as input parameters; data 3 to data 6 are related specifications used as constraints to constrain the size of the space, such as data 3 and data 6 constrain different corridor widths, data 4 constrains the size of a single consulting room, etc.; data 7 is also related specifications used as constraints to constrain the spatial form. For example, if the total width of the diagnosis and treatment unit outline is greater than 13M and less than 18.6M, the spatial form is mode 1, and the same applies to the others; data 8 to data 10 are also related specifications used as constraints to constrain the size of the waiting area; data 11 and data 12 are the corresponding conclusions obtained through calculations between input parameters and constraints, and are used as output parameters of the parameterized module.

[0112] Step 4: constructing and outputting medical building space visualization data based on the association results;

[0113] Obtain input bed information, seven indicator information, department distribution information, etc., and with the help of the preprocessing module and the medical process parametric model, realize the automatic generation of indicator measurement chart visualization and the first-level process plane outline; then determine the outline of each department based on the first-level process outline, and then adjust the department outline based on the building space and building functional characteristics. After obtaining a relatively determined department outline, complete the functional layout inside the department with the assistance of the second-level process module, and use the third-level process module to complete the parametric generation of the main medical function rooms, so that the integrated design of the first-level, second-level, and third-level medical process flows is completed. Use the medical process plane as a medium to carry out medical process docking with the hospital. During the docking process, the data visualization module can be used to show the hospital the relevant parameters of the medical process, and the D5 rendering software can be used to visualize the main medical space. If the hospital has any adjustment opinions on the plan, the process plane wall line will be exported, and the process plane will be customized with the assistance of the customization module until a medical process plane that is relatively satisfactory to all parties is obtained; the final visualization effect is as follows Figure 4 shown.

[0114] Step 5: Obtain an adjustment instruction, update the association result according to the adjustment instruction, and return to step 4, and repeat steps 4 to 5 until there is no adjustment instruction.

[0115] The updating of the association result according to the adjustment instruction comprises a method:

[0116] Analyze the adjustment instruction to obtain the correction parameter data;

[0117] The corresponding parameter data are replaced by the modified parameters, and the replaced parameter data are input into the medical process parametric model to obtain the association result between the updated data and the architectural space.

[0118] According to the method of this embodiment, firstly, bed information, seven indicator information, department distribution information, etc. are input into the medical process parametric model, and the indicator measurement parameterization module and the first-level process module are used to automatically generate indicator measurement chart visualization and first-level process plane outline.

[0119] The outline of each department is determined by generating the first-level process outline, and the department outline is adjusted again based on the building space and building functional characteristics. After obtaining a relatively determined department outline, the functional layout inside the department is completed with the assistance of the second-level process module, and the parametric generation of the main medical function rooms is completed with the help of the third-level process module. At this point, the integrated design of the first-level, second-level, and third-level medical process flows is completed.

[0120] The medical process plane is used as a medium to carry out medical process docking with the hospital. During the docking process, the data visualization module can be used to display the hospital's medical process-related parameters, and the D5 rendering software can be used to visualize the main medical space. If the hospital has any adjustment suggestions for the plan, the process plane wall lines will be exported, and the process plane will be customized with the assistance of the customization module until a medical process plane that is relatively satisfactory to all parties is obtained.

[0121] Example 2

[0122] This embodiment provides a medical process parameterized design and expression system, which is used to implement a medical process parameterized design and expression method described in Example 1. Figure 5 As shown, the system includes: a collection module for acquiring basic medical process data; a preprocessing module for preprocessing the basic medical process data; the preprocessing module includes:

[0123] A division unit is used to divide the basic medical process data into multiple categories of functional data according to functions, each category of functional data includes one or more groups of functional data; each group of functional data includes: parameter data, functional correlation data, data correlation data and specification data; the multiple categories of functional data include: public service functional data, medical and technical functional data and auxiliary functional data;

[0124] A combing unit is used to sort out each group of data and classify the data into its data type: combing the data according to qualitative requirements and quantitative requirements; the data type includes fixed parameter data and variable parameter data;

[0125] The fixed parameter data includes parameter data that does not change with the change of space size, and the variable parameter data includes parameter data that changes with the change of space size.

[0126] The translation module is used to input the pre-processed basic medical process data into the parametric design platform for splitting and reorganization, and to establish a medical process parametric model to obtain the correlation results between the data and the architectural space;

[0127] An output module, used for constructing medical building space visualization data based on the association result or the updated association result, and outputting the medical building space visualization data;

[0128] The output module includes: a three-dimensional space visualization unit, a space form visualization unit and a data visualization unit;

[0129] The three-dimensional space visualization unit is used to display the medical building space in three dimensions;

[0130] The spatial form visualization unit is used to display the spatial form of the medical building space for visualization;

[0131] The data visualization unit is used to visualize the data of the medical building space.

[0132] Adjustment module: used to obtain adjustment instructions, update the association result between data and building space according to the adjustment instructions, and send the updated association result to the output module.

[0133] The adjustment module includes a model adjustment unit and a parameter adjustment unit;

[0134] The model adjustment unit is used to update the association result between the data and the building space directly on the medical process parameterized model according to the adjustment instruction;

[0135] The parameter adjustment unit is used to update the parameter data input into the medical process parameterized model according to the adjustment instruction.

[0136] like Figure 6 As shown in the figure, the first-level process module is mainly responsible for generating functional blocks and department outlines, the second-level process module is mainly responsible for generating department layouts based on the architect's subjective hospital, and the third-level process module is mainly responsible for generating functional rooms after optimizing the department layout. The remaining customized modules, auxiliary function modules, and medical process docking and modification modules are mainly used to modify and optimize the functional rooms in the later stage.

[0137] This embodiment takes a certain hospital as an example to carry out the complete workflow of "indicator measurement (data preprocessing) - local parameterization generation of first-level process (splitting and reorganization) - parameterization generation of second-level process of diagnosis and treatment unit (splitting and reorganization) - third-level process parameterization generation (splitting and reorganization) of consulting room - visualization expression of architectural space".

[0138] Taking the data of a certain hospital as an example, the number of beds (900 beds) and the proportion of the seven indicators (data source: "Construction Standard 110-2021: Comprehensive Hospital Construction Standard") are input into the preprocessing module, and the total building area of ​​the seven indicators is output as 102,600 square meters, and the areas of the seven indicators are output, as well as the seven indicators related information (name, proportion, area) that can output the indicator measurement process A; the process of indicator measurement A is as follows Figure 7 and Figure 8 As shown;

[0139] Index calculation B: Input the number of large equipment indicated in the design task book into the large equipment parameterization module, which can output the total building area required for large equipment, and can output the relevant information of each type of large equipment (name, unit area index, building area). The unit area index data comes from "Construction Standard 110-2021: General Hospital Construction Standard". The process of indicator calculation B is as follows Fig. 9 and Fig.10 shown.

[0140] Index calculation C: Then use the single-column building area parameterization module (TCM specialty rooms, infectious disease rooms, preventive health care rooms, feasibility study rooms, national key laboratory rooms, teaching rooms, training rooms, cultural rooms, convenience service rooms, health management rooms, etc.) to obtain the single-column building area values ​​by inputting the relevant indicator requirements of the task book. The process of index calculation C is as follows: Fig.11 and Fig.12 shown.

[0141] Indicator calculation D, add the above areas to get the total ground building area of ​​167176㎡, input it into the parking module to output the number of parking spaces and the required building area of ​​the project, which are 1672 and 61855.12㎡ respectively. The process of indicator calculation D is as follows Fig.13 and Fig.14 shown.

[0142] The above-mentioned indicator calculation A, indicator calculation B, indicator calculation C, and indicator calculation D are all in the preliminary data processing stage. After completing the first four steps, the bar ratio chart parameterization module can be used to visualize the proportional relationship between the seven indicators, the seven indicator areas, the large equipment area, the single-row functional area, and the parking area. The area allocation chart parameterization module can be used to visualize the key areas in an array. The display results are shown as follows: Fig.15 and Fig.16 shown.

[0143] After completing all data preprocessing, take the functional layout of a certain floor of the hospital as an example, input the department name and corresponding area of ​​this floor as input values, then pick up the skirt building outline, department positioning point, lobby positioning line, medical street control line, and input the medical street width, various optimization parameters and other information to the medical process parametric model to obtain the medical building space visualization data. The medical process parametric model of a certain floor of the hospital is as follows: Fig.17 As shown in the figure, this scheme also takes the boundary position of each department as the optimization parameter, takes the input area of ​​the department and the minimum area difference as the optimization goal, optimizes the boundary of the department on this layer, generates corresponding adjustment instructions and inputs them into the medical process parameter model, and finally obtains the optimized medical building space visualization data. The generation and optimization process of medical building space visualization data is shown in the figure. Fig.18 As shown in the figure, the comparison diagram of medical building space visualization data before and after optimization is as follows Fig.19 shown.

[0144] This embodiment also uses the diagnosis and treatment unit as an example to perform secondary process parameterization generation. First, the outline of a diagnosis and treatment unit is obtained based on the medical process parameterization model of the diagnosis and treatment unit. The medical building space visualization result of the diagnosis and treatment unit is as follows: Fig. 20 As shown;

[0145] Then, the medical process parametric model of the diagnosis and treatment unit is input with parameter information such as unit outline, axis grid size, internal corridor position, etc. to generate the secondary process layout inside the diagnosis and treatment unit. The secondary process layout of the diagnosis and treatment unit is visualized as follows: Fig.21 As shown, the secondary process of the diagnosis and treatment unit is shown as follows Fig. 22 As shown;

[0146] Thanks to the internal data association, the secondary process layout within the diagnosis and treatment unit can adapt to the changes in external dimensions. The schematic diagram of the optimization result of the secondary process layout within the diagnosis and treatment unit is shown in the figure. Fig.23 shown.

[0147] Select a room outline from the diagnosis and treatment unit, use the clinic medical process parametric model to perform parametric generation of the three-level process of the clinic, input the room outline, door and window position, size and other information, and generate a parametric plane with one click. Parameters such as doors, windows, walls, furniture and appliances, and text information can be output. The schematic diagram of the parametric generation process of the three-level process of the clinic is shown in the figure below. Fig.24 As shown in the figure, the schematic diagram of the parameterized generation process of the three-level process of the clinic is as follows Fig.25 shown.

[0148] Through the clinic type selection, you can easily select different clinic floor plans and output the corresponding clinic information. The visualization diagram of the clinic type selection operation is as follows Fig.26 shown.

[0149] Finally, we get a complete floor plan of the diagnosis and treatment unit and related information. The visualization diagram of the clinic type selection operation is as follows: Fig. 27 shown.

[0150] This embodiment also uses the clinic as an example to visualize and update the architectural space data in real time. The parametric model of the clinic is input into the D5 rendering platform to achieve real-time rendering. Thanks to the internal parameter association, the whole process of "parametric module - parametric plane - parametric model - real-time rendering screen" can be updated in real time. The visualization expression and real-time update interface are as follows: Fig.28 and 29 shown.

[0151] Example 3

[0152] This embodiment provides a computer-readable medium having a computer program stored thereon. The computer program is executed by a processor to implement a medical process parameterized design and expression method as described in Embodiment 1.

[0153] This embodiment takes the surgical core area as an example, and the computer-readable medium specifically performs:

[0154] Input the surgical core area data, obtain the surgical core area arrangement result, and perform 3D visualization or data visualization according to needs. When the effect is satisfactory, end the program. When the effect is not satisfactory, input the adjustment data and re-execute the above program.

[0155] Specific procedures such as Fig.31 As shown, input the data of the core surgical area (including the axis network, atrium outline, design range of the core surgical area, operating room size, clean channel width, dirty channel width and room arrangement direction, etc.), find the largest automated arrangement range according to the room arrangement direction, arrange the rooms and channels according to the operating room size, adjust the channel and room sizes according to the actual axis network conditions, and finally divide the rooms.

[0156] The arrangement result of the core surgical area is obtained, and a three-dimensional visualization or data visualization is performed according to the needs. When the effect is satisfactory, the program ends. When the effect is not satisfactory, the adjustment data is input and the above program is executed again.

[0157] This embodiment first utilizes the ability to quickly complete the parametric generation of the first-level, second-level, and third-level processes of medical technology; inputs bed information, seven indicator information, department distribution information, etc. at the input end of the parameterization module, and automatically generates indicator measurement chart visualization and first-level process plane outlines with the help of the indicator measurement parameterization module and the first-level process module; generates the first-level process outline to further determine the outlines of each department, and then adjusts the department outlines based on the building space and building functional characteristics. After obtaining a relatively certain department outline, the functional layout of the interior of the department is completed with the assistance of the second-level process module, and the parametric generation of the main medical function rooms is completed with the help of the third-level process module. At this point, the integrated design of the first-level, second-level, and third-level medical process flows is completed. Use the medical process plane as a medium to carry out medical process docking with the hospital. During the docking process, the data visualization module can be used to display medical process-related parameters to the hospital. This embodiment generates 4 schemes for visualized medical process planes, such as Fig.32 As shown in the figure, the operating room buildings in Plan 1 are unevenly distributed, there are too many medium-sized operating rooms in Plan 2, the room direction in Plan 3 is flawed, and the final Plan 4 meets the designer's requirements; the main medical spaces are visualized based on D5 rendering software. If the hospital has any adjustment suggestions for the plan, the process plane wall lines will be exported, and the process plane will be customized with the assistance of the customized module until a medical process plane that is relatively satisfactory to all parties is obtained.

[0158] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A medical process parameterized design and expression method, characterized in that: include: Step 1: Obtain basic data of medical technology; Step 2: Preprocessing the basic medical process data; including method: The basic data of medical technology are divided into multiple categories of functional data according to their functions, and each category of functional data includes one or more groups of functional data; Each set of functional data includes: parameter data, functional correlation data, data correlation data and specification data; the multiple types of functional data include: public service functional data, medical and technical functional data and auxiliary functional data; the public service functional data is the building space data used for public use in the medical process; the medical and technical functional data is the building space data used for medical use in the medical process; the auxiliary functional data is the building space data that meets the medical, office and living purposes; Arrange each group of data and classify the data into its data type: sort the data according to qualitative and quantitative requirements; the data types include fixed parameter data and variable parameter data; The fixed parameter data includes parameter data that does not change with changes in the space size, and the variable parameter data includes parameter data that changes with changes in the space size; Step 3: Input the pre-processed medical process basic data into the parametric design platform for splitting and reorganization, and establish a medical process parametric model to obtain the correlation results between the data and the architectural space; the specific methods include: Each set of functional data corresponds to a medical process parameterized model; The medical process parametric model uses functional relevance and data relevance as constraint conditions to establish a functional relationship between parameter data; parameter data and specification data are used as inputs of the medical process parametric model to obtain the association result between data and architectural space; Step 4: constructing and outputting medical building space visualization data based on the association results; Step 5: Get the adjustment instruction, update the association result according to the adjustment instruction, and return to step 4, and repeat steps 4 to 5 until there is no adjustment instruction.

2. A medical process parameterized design and expression method according to claim 1, characterized in that: The updating of the association result according to the adjustment instruction comprises a method: Analyze the adjustment instruction to obtain the correction parameter data; The corresponding parameter data are replaced by the modified parameters, and the replaced parameter data are input into the medical process parametric model to obtain the association result between the updated data and the architectural space.

3. A medical process parameterized design and expression system, characterized in that: Used to implement a medical process parametric design and expression method as described in claim 1 or 2, the system comprises: Acquisition module, used to obtain basic data of medical processes; A preprocessing module, used for preprocessing the basic medical process data; The translation module is used to input the pre-processed basic medical process data into the parametric design platform for splitting and reorganizing to establish a medical process parametric model, so as to obtain the correlation results between the data and the architectural space; An output module, used for constructing medical building space visualization data based on the association result or the updated association result, and outputting the medical building space visualization data; Adjustment module: used to obtain adjustment instructions, update the association result between data and building space according to the adjustment instructions, and send the updated association result to the output module.

4. A medical process parameterized design and expression system according to claim 3, characterized in that: The preprocessing module comprises: A division unit is used to divide the basic medical process data into multiple categories of functional data according to functions, each category of functional data includes one or more groups of functional data; each group of functional data includes: parameter data, functional correlation data, data correlation data and specification data; the multiple categories of functional data include: public service functional data, medical and technical functional data and auxiliary functional data; A combing unit is used to sort out each group of data and classify the data into its data type: combing the data according to qualitative requirements and quantitative requirements; the data type includes fixed parameter data and variable parameter data; The fixed parameter data includes parameter data that does not change with the change of space size, and the variable parameter data includes parameter data that changes with the change of space size.

5. A medical process parameterized design and expression system according to claim 4, characterized in that: The output module includes: a three-dimensional space visualization unit, a space form visualization unit and a data visualization unit; The three-dimensional space visualization unit is used to display the medical building space in three dimensions; The spatial form visualization unit is used to display the spatial form of the medical building space for visualization; The data visualization unit is used to visualize the data of the medical building space.

6. A medical process parameterized design and expression system according to claim 4, characterized in that: The adjustment module includes a model adjustment unit and a parameter adjustment unit; The model adjustment unit is used to update the association result between the data and the building space directly on the medical process parameterized model according to the adjustment instruction; The parameter adjustment unit is used to update the parameter data input into the medical process parameterized model according to the adjustment instruction.

7. A computer readable medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement a medical process parameterized design and expression method as described in claim 1 or 2.

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