Method for automatically generating planar graph of surgical department of hospital center

Abstract

The invention discloses a method for automatically generating a planar graph of a surgical department of a hospital center, and relates to the field of architectural design and architectural plane generation type design. The method comprises the following steps: according to a decomposition method from region distribution to corridor formation and then to room division, obtaining a plurality of preliminary central surgical department planar graphs; performing comprehensive evaluation on each preliminary central operation part plane graph by utilizing a central operation part comprehensive efficiency evaluation model; in combination with the comprehensive efficiency evaluation score and the design requirement of each preliminary central operation part plane graph, screening a central operation part plane graph to be optimized; and performing configuration parameter optimization on the to-be-optimized central surgical part plan by adopting a multi-objective optimization algorithm to obtain a final optimized central surgical part plan. According to the method, actual design requirements and space requirements are considered, a decomposition method from area distribution to corridor formation to room division is adopted, the precision of planar graph generation of the operation department of the hospital center can be improved, and the working intensity of repeated modification in building scheme design is relieved.

Description

Technical Field

[0001] The present application relates to the field of architectural design and architectural plan generative design, and in particular to a method for automatically generating a plan view of a hospital center operating room. Background Art

[0002] In the context of combining artificial intelligence technology with architectural disciplines, architects can use rule-making and computers to complete deductions and calculations in architectural design. Especially for complex and diverse public buildings such as hospital buildings, which are subject to more rule constraints, less subjective design, and more needs for repeated arrangement and deduction.

[0003] In the existing automatic generation models of hospital plans, on the one hand, there is little exploration of complex corridor buildings, and on the other hand, there is a lack of integration of technical development with actual needs, including the workflow requirements of architects and the space requirements of users. Summary of the invention

[0004] The purpose of this application is to provide a method for automatically generating the floor plan of the hospital's central operating room, taking into account the actual design requirements and space requirements, and a decomposition method from area allocation to corridor formation and then to room division, so as to improve the accuracy of the generation of the floor plan of the hospital's central operating room.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] The present application provides a method for automatically generating a floor plan of a central operating department of a hospital, comprising: establishing a comprehensive efficiency evaluation model of the central operating department; extracting a plane rule topology model of the central operating department of the hospital; obtaining multiple area division maps that meet the preset configuration data of the area based on the area allocation rule and the plane rule topology model according to the plane scheme design information of the central operating department of the hospital to be built; generating the structural line of the corridor in each area division map based on the plane rule topology model and the traffic system setting rule and connection rule of the central operating department; optimizing the geometric relationship between the structural line of the corridor and the traffic well, adjusting the position of the corridor, and obtaining multiple corridor system maps; bringing the room topology relationship of each area in the plane rule topology model into the corresponding area in each corridor system map, generating rooms, and obtaining multiple preliminary floor plans of the central operating department; using the comprehensive efficiency evaluation model of the central operating department, comprehensively evaluating each preliminary floor plan of the central operating department, and obtaining the comprehensive efficiency evaluation score of each preliminary floor plan of the central operating department; combining the comprehensive efficiency evaluation score of each preliminary floor plan of the central operating department and the design requirements, selecting a preliminary floor plan of the central operating department as the floor plan of the central operating department to be optimized; optimizing the configuration parameters of the floor plan of the central operating department to be optimized by using a multi-objective optimization algorithm, and obtaining the final optimized floor plan of the central operating department.

[0007] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0008] The present application provides a method for automatically generating a floor plan of a hospital's central operating department, according to a decomposition method from area allocation to corridor formation and then to room division. First, the actual plane information of the hospital to be built is considered to divide the area. Secondly, the position of the corridor is set and adjusted based on the area division. Thirdly, rooms are generated in the area between the corridors. Finally, the central operating department's comprehensive efficiency evaluation model and design requirements are used, rather than just the medical process itself, to optimize the floor plan of the central operating department, thereby improving the accuracy of the generation of the floor plan of the hospital's central operating department. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 This is an application environment diagram of a method for automatically generating a plan view of a hospital center operating department in an embodiment of the present application;

[0011] Figure 2 A schematic diagram of a process for automatically generating a plan view of a hospital center operating department provided in one embodiment of the present application;

[0012] Figure 3 A schematic diagram of the construction of a central operating department of a hospital provided in an embodiment of the present application;

[0013] Figure 4 A schematic diagram of forming a preliminary partition map provided in another embodiment of the present application;

[0014] Figure 5 A schematic diagram of a traffic system network and a determination area provided in another embodiment of the present application;

[0015] Figure 6 A schematic diagram showing the identification and adjustment of a traffic well situation provided in another embodiment of the present application;

[0016] Figure 7 A schematic diagram of a distribution area without pillars provided in another embodiment of the present application;

[0017] Figure 8 A schematic diagram of column distribution in a distribution area provided for another embodiment of the present application;

[0018] Fig. 9 A schematic diagram of setting the number of operating rooms provided in another embodiment of the present application;

[0019] Fig.10 A schematic diagram of a topological relationship model of a surgical area provided in another embodiment of the present application;

[0020] Fig.11 A schematic diagram of a topological relationship model of a medical assistance area provided in another embodiment of the present application;

[0021] Fig.12 A schematic diagram of a topological relationship model of a patient preparation area provided in another embodiment of the present application;

[0022] Fig.13 A schematic diagram of a battery for the front data input terminal of a central surgical department generation model provided by another embodiment of the present application;

[0023] Fig.14 A schematic diagram of the results obtained in the input area division model provided in another embodiment of the present application;

[0024] Fig.15 A schematic diagram of the results obtained in the input corridor generation model provided in another embodiment of the present application;

[0025] Fig.16 A schematic diagram of a first result obtained from inputting a room arrangement model provided in another embodiment of the present application;

[0026] Fig.17 A schematic diagram of a second result obtained from inputting a room arrangement model provided in another embodiment of the present application;

[0027] Fig.18 A schematic diagram of a Pareto optimal solution set obtained by importing a preliminary generation result (basic type) provided in another embodiment of the present application into a comprehensive efficiency optimization model;

[0028] Fig.19 A schematic diagram of the result when the storage space sufficiency item in the output Pareto optimal solution set is maximized, provided by another embodiment of the present application;

[0029] Fig. 20 A schematic diagram of the result when the value of the item of scale sufficiency in the output Pareto optimal solution set is maximized provided by another embodiment of the present application;

[0030] Fig.21 A schematic diagram of adjusting some functional parameters of a result selected by a designer (the result with the greatest scale adequacy in the example) provided in another embodiment of the present application;

[0031] Fig. 22 A schematic diagram of a result obtained by adjusting parameters of a result selected by a designer (the result with the largest scale adequacy in the example) and increasing the area of ​​operating rooms at all levels according to actual needs, provided in another embodiment of the present application;

[0032] Fig.23 A schematic diagram of a result after deepening the planar content of an output result provided by another embodiment of the present application;

[0033] Fig.24 A schematic diagram of another embodiment of the present application showing the model output result being imported into CAD in dwg format and then fitted with the floor plan. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0036] The method for automatically generating a plan view of a hospital center operating room provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the actual plane information of the hospital to be built to the server 104. After the server 104 receives the actual plane information of the hospital to be built, the server 104 establishes a comprehensive efficiency evaluation model for the central operating department for the actual plane information of the hospital to be built; extracts the plane rule topology model of the central operating department of the hospital; according to the plane design information of the central operating department of the hospital to be built, based on the regional allocation rules and the plane rule topology model, obtains multiple regional division maps that meet the regional preset configuration data; based on the plane rule topology model, according to the central operating department traffic system setting rules and connection rules, generate the structural lines of the corridor in each regional division map; optimize the geometric relationship between the structural lines of the corridors and the traffic wells, and adjust the corridors. The location of the corridor is obtained to obtain multiple corridor system diagrams; the room topological relationship of each area in the plane rule topological model is brought into the corresponding area in each corridor system diagram to generate rooms and obtain multiple preliminary central operating department floor plans; each preliminary central operating department floor plan is comprehensively evaluated by using the central operating department comprehensive efficiency evaluation model to obtain a comprehensive efficiency evaluation score of each preliminary central operating department floor plan; a preliminary central operating department floor plan is selected as the central operating department floor plan to be optimized by combining the comprehensive efficiency evaluation score of each preliminary central operating department floor plan and the design requirements; a multi-objective optimization algorithm is used to optimize the configuration parameters of the central operating department floor plan to be optimized to obtain the final optimized central operating department floor plan. The server 104 can feed back the final optimized central operating department floor plan to the terminal 102. In addition, in some embodiments, the method for automatically generating a floor plan of the hospital's central operating department can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly automatically generate a floor plan of the hospital's central operating department based on the actual floor plan information of the hospital to be built, or the server 104 can obtain the actual floor plan information of the hospital to be built from the data storage system and automatically generate a floor plan of the hospital's central operating department based on the actual floor plan information of the hospital to be built.

[0037] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0038] In an exemplary embodiment, Figure 2 As shown, a method for automatically generating a plan view of a hospital center operating department is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 208.

[0039] in:

[0040] Step 201: Establish a comprehensive efficiency evaluation model for the central operating department.

[0041] Step 202: Extract the regular topological model of the plane of the hospital's central operating room.

[0042] Step 203: According to the plane design information of the central operating department of the hospital to be built, based on the area allocation rules and the plane rule topological model, multiple area division maps that meet the area preset configuration data are obtained.

[0043] Step 204: Based on the plane rule topology model, according to the central surgery department traffic system setting rules and connection rules, generate the corridor structure line in each area division map.

[0044] Step 205: Optimize the geometric relationship between the structural line of the corridor and the traffic shaft, adjust the position of the corridor, and obtain multiple corridor system diagrams.

[0045] Step 206: Bring the room topological relationship of each area in the plane regular topological model into the corresponding area in each corridor system diagram to generate rooms and obtain multiple preliminary central operating department floor plans.

[0046] Step 207: Using the central operating department comprehensive efficiency evaluation model, comprehensively evaluate each preliminary central operating department plan view to obtain a comprehensive efficiency evaluation score for each preliminary central operating department plan view.

[0047] Step 208: Based on the comprehensive efficiency evaluation score and design requirements of each preliminary central operating department floor plan, a preliminary central operating department floor plan is selected as the central operating department floor plan to be optimized.

[0048] Step 209: Use a multi-objective optimization algorithm to optimize the configuration parameters of the central operating room plan to be optimized, and obtain the final optimized central operating room plan.

[0049] The above-mentioned steps 201 to 208 are implemented according to the decomposition method from area allocation to corridor formation and then to room division. First, the actual plane information of the hospital to be built is considered to divide the area. Secondly, the position of the corridor is set and adjusted based on the area division. Thirdly, the room is generated in the area between the corridors. Finally, the comprehensive efficiency evaluation model and design requirements of the central operating department are used, rather than just the medical process itself, to optimize the floor plan of the central operating department, thereby improving the accuracy of the generation of the floor plan of the hospital's central operating department.

[0050] This application can use computer computing power to replace the complicated arrangement and trial and error process of architects in the plane design of the hospital central operating department in the initial design stage, and replace a lot of manual data investigation in the plane design of the central operating department. And combined with the comprehensive efficiency system of hospital buildings, an optimization method based on actual space problems and usage needs is realized, rather than just for the medical process itself, so that a suitable central operating department plane can be quickly obtained in the initial design stage of hospital building design and connected to the building workflow.

[0051] According to cases, current specifications, relevant research and survey data, the detailed plane logic and data rules of the central operating room of modern hospitals are summarized and converted into computer language; the plane plans of a series of central operating rooms are obtained by inputting boundary, entrance, column grid and other information on the front end, and the obtained planes are screened and qualitatively optimized based on design requirements to obtain the plane plans that are actually available to architectural designers. Figure 3 As shown, the center's operating department is generated by decomposing the area allocation to the corridor and finally to the room division, and the computer's mechanical generation results are combined with the comprehensive efficiency framework of the hospital building for screening and optimization.

[0052] In another exemplary embodiment of the present application, a plane rule topological relationship graph model of the central operating department of a general hospital is extracted based on the actual hospital construction project and the current theoretical specifications. The topological relationship is a prerequisite for the construction of the plane generation model, and it is also a relationship condition readable by computer language. Clarifying the functional topological relationship is the basic condition for the generation of the operating department plane. The topological relationship in the building plane mainly includes two pieces of information: functional configuration and the connection relationship between functions. The topological connection model uses nodes and edges to express the functions of the building and its connection relationship. It is a data structure whose nodes and edges are numerical models. Nodes can contain the functions of the rooms, and even the area and aspect ratio. Edges record the connection relationship between rooms, and sometimes also contain door opening information.

[0053] The central operating room is mainly divided into the operating area, medical assistance area and patient preparation area. The topological relationship model of the operating area is as follows: Fig.10 As shown in the figure, the topological relationship model of the medical auxiliary area is as follows Fig.11 As shown in Figure 2, the topological relationship model of the patient preparation area is as follows: Fig.12 shown.

[0054] In another exemplary embodiment of the present application, in order to generate various areas in the central operating room, the above step 202 is replaced by the following steps 301 to 306:

[0055] Step 301: Establish a linear regression equation between the total area of ​​the central surgical department and the area of ​​each region.

[0056] Step 302: According to the actual total area of ​​the central operating department of the hospital to be built, the predicted area of ​​each area is obtained using the linear regression equation.

[0057] Step 303: setting area allocation rules; the area allocation rules include external environment relationship and area connectivity; the external environment relationship means that the medical assistance area is directly connected to the doctor's entrance, and the patient preparation area is connected to the patient entrance; the area connectivity means that the operating area is absolutely adjacent to the medical assistance area and the patient preparation area, and the medical assistance area is connected to the patient preparation area.

[0058] Step 304: According to the contour curve of the central operating room, the entry point information, the area information of the traffic shaft and the spacing value of the column grid, based on the area allocation rule and the plane rule topological model, a plurality of preliminary area division maps are obtained.

[0059] Step 305: Determine the calculated area of ​​each region in each preliminary region division map.

[0060] Step 306: Select a preliminary area division map in which the difference between the calculated area of ​​each area and the predicted area of ​​each area is less than or equal to the preset tolerance value, and determine it as the area division map that meets the regional preset configuration data.

[0061] Among them, when the linear regression equation of the total area of ​​the central operating room and the area of ​​each area in step 301 includes: the linear regression equation of the total area of ​​the central operating room and the area of ​​the operating area, the linear regression equation of the total area of ​​the central operating room and the area of ​​the medical auxiliary area, and the linear regression equation of the total area of ​​the central operating room and the area of ​​the patient preparation area, the specific form of the linear regression equation is as follows:

[0062] The linear regression equation of the total area of ​​the central operating department and the area of ​​the operating area is:

[0063] S 手术区 =0.59×S 中心手术部 -265.01

[0064] In the formula, S 手术区 is the surgical area, S 中心手术部 The total area of ​​the central operating department.

[0065] The linear regression equation of the total area of ​​the central operating department and the area of ​​the medical auxiliary area is:

[0066] S 医护辅助区 =0.21×S 中心手术部 +70.86

[0067] In the formula, S 医护辅助区 This is the area for medical auxiliary area.

[0068] The linear regression equation of the total area of ​​the central operating department and the area of ​​the patient preparation area is:

[0069] S 患者准备区 =0.14×S 中心手术部 -73.94

[0070] In the formula, S 患者准备区 Prepare the area for the patient.

[0071] Exemplarily, a more detailed implementation process of step 301 to step 306 is as follows:

[0072] Relationship with the external environment: Consider that the medical assistance area must be directly connected to the doctor's entrance, and the patient preparation area needs to be connected to the patient entrance.

[0073] Regional connectivity: The operating area needs to be absolutely adjacent to the other two auxiliary areas. The medical auxiliary area is best connected to the patient area so that doctors can access patient auxiliary functions without passing through the operating area.

[0074] Area configuration meets: Figure 4 As shown, the functional configuration requirements of each area are summarized according to the specifications and case data, and the formulas for the hospital scale or number of beds and the functional configuration requirements and data of each area are obtained. Then, the configuration data is calculated based on the input hospital construction scale and number of beds data, and the area of ​​each area is obtained by statistical sum. In area generation, each area must meet the area data. After the initial setting of the three-zone zoning, determine whether the difference between the area configuration values ​​of the three zones and the area values ​​obtained by the case analysis formula meets the preset tolerance value (Tolerance). If it does, no adjustment is required. If it does not, the area division type will not be output. Among them, Figure 4 Part (a) in the figure indicates that the starting point is randomly generated according to the plane connection relationship. Figure 4 Part (b) shows the partition outline formed based on random points. Figure 4 Part (c) represents iterative optimization until the sum of area differences is minimized.

[0075] Preset area of ​​each area Where Num_k is the number of functional rooms; Area_k is the area of ​​functional rooms; S_cor is the area of ​​the traffic system (error supplement value).

[0076] Satisfy structural relationships: Area generation needs to be based on the column grid to ensure that the formed areas satisfy further spatial division based on structural relationships.

[0077] In another exemplary embodiment of the present application, after the area is divided, the central operating department corridor needs to be designed. In order to generate the corridor, the above step 203 is replaced by the following steps 401 to 403:

[0078] Step 401: define the setting rules of the traffic system of the central operating department; the setting rules of the traffic system of the central operating department are: the traffic system of the central operating department is in the form of a double-corridor plane and a waste recovery plane.

[0079] Step 402: Define the connection rules of the central operating department transportation system; the central operating department transportation system connection rules include: the corridor of the medical auxiliary area is connected to the clean corridor of the operating area, the clean corridor is connected to the dirty corridor, and the corridor of the medical auxiliary area is in communication with all transportation wells in the medical auxiliary area.

[0080] Step 403: Based on the plane rule topology model, according to the central surgery department traffic system setting rules and connection rules, generate the corridor structure line in each area division map.

[0081] In another exemplary embodiment of the present application, in order to further optimize the location of the corridor, the above step 204 is replaced by the following steps 501 to 503:

[0082] Step 501: Determine the discrimination area between the two ends of each corridor structure line in the medical auxiliary area.

[0083] Step 502: Adjust the position of the corridor of the medical auxiliary area so that the identification area does not contain built-in column points and does not intersect with the traffic shaft.

[0084] Step 503: adjusting the position of the corridor of the operating area according to the relationship between the waste elevator and the waste corridor, and the relationship between the clean elevator and the clean corridor, to obtain multiple corridor system diagrams.

[0085] The process of setting up corridors based on regional division is as follows:

[0086] The transportation system of the central operating department is mainly considered as a double-corridor plane, and the comprehensive case data is considered as a waste recovery plane, including the corridor generation model:

[0087] Regional connectivity: The corridors in the auxiliary area must be connected to the clean corridors in the operating area, and the clean corridors must be connected to the dirty corridors.

[0088] Communication traffic shaft: The auxiliary area is in the form of an ordinary single corridor, and its corridor needs to communicate with all traffic shafts in the auxiliary area. The corridor structure line generated by the foundation forms the judgment area at both ends of the line, such as Figure 5 The situation of each corridor is judged in the judgment area, and the position of the auxiliary area corridor is adjusted through the situation judgment so that the generated corridor does not contain built-in column points, does not intersect with the traffic shaft, is close to the traffic shaft and moves with the traffic shaft, etc. Figure 6 As shown; the corridor plane of the operating area is adjusted by judging the relationship between the waste elevator, clean elevator and the waste corridor and clean corridor. Figure 6 Part (a) shows the tangency determination between the traffic shaft and the corridor line. Figure 6 Part (b) indicates that the corridor width is adjusted when the traffic shaft is not tangent to the corridor line but intersects with the corridor area. Figure 6 Part (c) indicates that the corridor width should be adjusted when the traffic shaft is not tangent to the corridor line but the distance between the traffic shaft and the corridor area is not enough to arrange the rooms. Figure 6 Part (d) in the figure shows the situation when there is a traffic well area and they intersect.

[0089] In another exemplary embodiment of the present application, after the corridor is generated, in order to generate the room, the above step 205 is replaced by the following steps 601 to 602:

[0090] Step 601: If there is no inset column in the area of ​​the corridor system diagram, then the rooms are generated in sequence according to the room topology of the area, starting from the entrance point and based on the room area attributes.

[0091] Step 602: If there are interpolated columns in the area of ​​the corridor system diagram, starting from the preset allocation end, the column grid is determined and the room is generated in sequence to ensure that there are no interpolated columns in the room.

[0092] After obtaining the corridor system diagram, we can extract the plane areas where rooms need to be arranged in the three areas, and bring the room topology relationship of each area into these areas to generate rooms. Fig.10 As shown, Fig.10 Part (a) shows the surgical area hierarchical depth model. Fig.10 Part (b) shows the topological connection model of the surgical area. The topological relationship model of the medical assistance area is as follows: Fig.11 As shown, Fig.11 Part (a) shows the depth model of the medical auxiliary area level. Fig.11 Part (b) shows the topological connection model of the medical assistance area. The topological relationship model of the patient preparation area is as follows: Fig.12 As shown, Fig.12 Part (a) shows the patient preparation area hierarchical depth model, Fig.12 Part (b) shows the topological connection model of the patient preparation area. It includes the room layout model:

[0093] The generation of rooms mainly distinguishes two situations: whether there are inserted columns in the layout area; this divides the room division method into two types: mainly based on room area and mainly based on column grid distribution. Figure 7 As shown in the figure, in the allocation area without interpolated columns, the room allocation needs to organize each room into an information node according to the information of the previous input end. The node contains two pieces of information: room area and room name. Each unit is generated in sequence, starting from the entry point, forming the first room based on the room area attribute, forming an initial node, recording the remaining area and remaining rooms, and then starting from this room to form the next room, and then forming multiple combined nodes; Figure 8 As shown, for the distribution area with inserted columns, it is necessary to start from the distribution end and determine the column grids in sequence. In each column grid, it is necessary to determine the remaining rooms and remaining areas to ensure that there are as few columns as possible in the room (columns can be considered for warehouses and some large auxiliary rooms). Among them, room generation is carried out from the fragmented areas divided by the transportation system. When each area starts to generate rooms, it will start from one end and then divide them in sequence, which is the distribution end. It may be the end close to the external entrance, the end close to the outside (where windows may be opened), or the end close to the previous operating room.

[0094] At this point, a preliminary central operating department plan is basically completed, but in the central operating department plan generation model, the result obtained is a relatively mechanical combination, which is a preliminary distribution result. The result directly generated by the computer needs to be evaluated by an evaluation mechanism that combines the various objective and subjective factors of the building, and a multi-objective optimization algorithm is used to comprehensively optimize the preliminary plan. Therefore, it is also necessary to build a central operating department plan optimization model. First, build a central operating department plan evaluation framework based on the comprehensive efficiency of hospital buildings. The specific process of establishing the central operating department comprehensive efficiency evaluation model in step 201 is as follows: step 701 to step 703:

[0095] Step 701: The first-level goal is set as the comprehensive efficiency of the central operating department of a general hospital, and the secondary goal is a single efficiency goal. The evaluation indicators of the single efficiency goal correspond to the physical properties of the building; the single efficiency goal includes space configuration and use effectiveness; the evaluation indicators of the space configuration include storage space adequacy, scale rationality and room configuration rationality; the evaluation indicators of use effectiveness include cleanliness and pollution resistance, traffic compactness, traffic efficiency and environmental comfort.

[0096] Step 702: Divide the evaluation categories of the evaluation indicators into three levels: control items, basic items, and optimization items.

[0097] Step 703: Determine the comprehensive efficiency evaluation formula of the central operating department: T = (F基本项 +F 优化项 ×ω)×F 控制项 ; In the formula, T is the comprehensive efficiency evaluation score, F 基本项 is the basic item score, F 优化项 is the optimization item score, ω is the optimization item weight, F 控制项 Score for the control item.

[0098] According to the research on the comprehensive efficiency system of hospital buildings and the evaluation system of central operating departments, combined with the comprehensive efficiency system model of large comprehensive hospitals and the current problems of central operating departments, an evaluation model for central operating departments is proposed, and it is analyzed from the perspectives of qualitative analysis and quantitative research with reference to the comprehensive efficiency research.

[0099] According to the current situation of the central operating department, the first-level goal of the comprehensive efficiency evaluation model of the central operating department is set as the comprehensive efficiency of the central operating department of a general hospital, and the second-level is a single efficiency goal, which is set as space configuration and use utility. The evaluation sub-item of each efficiency goal corresponds to the specific physical properties of the building. Because the overall hospital environment, overall design and equipment facilities are not involved, the cost efficiency part is not included in the comprehensive efficiency evaluation framework for the plane space of the central operating department.

[0100] The spatial configuration of the central operating room plan includes the efficiency of the operating room scale configuration (rationality of scale), the area configuration efficiency of the storage room (adequacy of storage space), and the area ratio of other rooms (rationality of room configuration); the utilization utility includes the efficiency of the transportation system configuration (traffic compactness), the clean and dirty zoning efficiency (clean and dirty interference resistance), and the space comfort efficiency (environmental comfort).

[0101] Each system evaluation indicator is divided into three levels: control items, basic items and optimization items.

[0102] Each control item is a basic control requirement. If the requirement is not met, the total score will be directly 0.

[0103] The basic items are the requirements that should be met, and there are two situations: met (n=10) and not met (n=0). For some configurations that are reflected in the questionnaire survey to a serious degree, points will be deducted in proportion to the situation that does not meet the requirements.

[0104] The optimization items are set to meet the requirements or to meet the configuration problems that are likely to occur in actual use according to the theoretical research and questionnaire survey in the previous article. The optimization item scores are given a corresponding degree of plus or minus points n (1-5) according to the degree of achievement or non-achievement, and the optimization items have an optimization weight ratio W, which is obtained from the questionnaire survey. The final score of the optimization item is N = W·n. The comprehensive efficiency evaluation system of the central surgery department of a general hospital is established as shown in Table 1.

[0105] Table 1 Comprehensive efficiency evaluation system of the central surgery department of a general hospital

[0106]

[0107] In another exemplary embodiment of the present application, in order to clarify the comprehensive evaluation process, the above step 206 can be replaced by the following steps 801 to 803:

[0108] Step 801: Use a machine learning algorithm to obtain a linear regression relationship between building physical properties and configuration parameters.

[0109] Step 802: Based on the configuration parameters of each preliminary central operating department plan, using the linear regression relationship between the building physical properties and the configuration parameters, predict the evaluation index value corresponding to each preliminary central operating department plan.

[0110] Step 803: According to the evaluation index value, using the central operating department comprehensive efficiency evaluation model, obtain the comprehensive efficiency evaluation score of each preliminary central operating department plan.

[0111] Steps 801 to 803 can be executed in a data system for the current space status of the central operating department of a modern general hospital. The specific execution process is:

[0112] Based on the data from 86 returned questionnaires and 56 modern general hospital design cases, a machine learning algorithm was used to find the linear regression relationship between each spatial data and the prior data (such as the total contour area of ​​the central operating room). By estimating the relationship between the dependent and independent variables, future values ​​were predicted for plan evaluation.

[0113] The linear regression equation of each data in the data system is:

[0114] The linear regression equation between the clean corridor area of ​​the operating area and the total area of ​​the central operating department: y1 = 0.11x1-6.89; the linear regression equation between the dirty corridor area of ​​the operating area and the total area of ​​the central operating department: y1 = 0.07x1 + 27.50; the linear regression equation between the corridor area of ​​the doctor area and the total area of ​​the central operating department: y1 = 0.04x1 + 10.44; the linear regression equation between the corridor area of ​​the patient area and the total area of ​​the central operating department: y1 = 0.03x1-9.62; the linear regression equation between the area of ​​the first-level operating room and the total area of ​​the central operating department: y1 = 0.002x1 + 52.0; the linear regression equation between the area of ​​the second-level operating room and the total area of ​​the central operating department: y1 = 0.004x1 + 37.0; the linear regression equation between the area of ​​the third-level operating room and the total area of ​​the central operating department: y1 = 0.0017x1 + 39.0; the linear regression equation between the area of ​​the sterile room and the total area of ​​the central operating department The linear regression equation between the area of ​​the sewage cleaning room and the total area of ​​the central operating department is: y1=0.0019x1+18.0; the linear regression equation between the area of ​​the sewage cleaning room and the total area of ​​the central operating department is: y1=0.00093x1+8.0; the linear regression equation between the area of ​​the sewage temporary storage room and the total area of ​​the central operating department is: y1=0.00035x1+10.0; the linear regression equation between the area of ​​the intraoperative lounge and the total area of ​​the central operating department is: y1=0.012x1-24.0; the linear regression equation between the area of ​​the warehouse (all storage spaces) and the total area of ​​the central operating department is: y1=0.037x1+25.0; the linear regression equation between the sanitary passage area and the total area of ​​the central operating department is: y1=0.036x1+56.0; the linear regression equation between the area of ​​the duty room (total) and the total area of ​​the central operating department is: y1=0.012x1+9.0; the average area of ​​the duty room is 16.47㎡ / each.The linear regression equation between the area of ​​medical and nursing offices (multiple people) and the total area of ​​the central operating department is: y1=0.0052x1+13.0; the linear regression equation between the area of ​​anesthesiologists' offices (multiple people) and the total area of ​​the central operating department is: y1=0.0058x1+11.0; the linear regression equation between the area of ​​single offices (director's and head nurse's offices) and the total area of ​​the central operating department is: y1=0.00069x1+11.0; the linear regression equation between the area of ​​conference demonstration rooms and the total area of ​​the central operating department is: y1=0.0058x1+30.0; the linear regression equation between the area of ​​medical and nursing lounge and the total area of ​​the central operating department is: y1=0.0026x1+18.0; the linear regression equation between the area of ​​the restaurant and the total area of ​​the central operating department is: The linear regression equation is: y1=0.010x1+20.0; the linear regression equation between the area of ​​family waiting area and the total area of ​​central operating department: y1=0.014x1+46.0; the linear regression equation between the area of ​​nurse station and the total area of ​​central operating department: y1=0.003x1+6.0; the linear regression equation between the area of ​​bed changing room and the total area of ​​central operating department: y1=0.0058x1+22.0; the linear regression equation between the area of ​​anesthesia room and the total area of ​​central operating department: y1=0.015x1-1.0; the linear regression equation between the area of ​​recovery room and the total area of ​​central operating department: y1=0.019x1+14.0; in the above formulas, x1 represents the total area of ​​central operating department, and y1 is the area to be calculated.

[0115] The length of the medical staff's working route: y2=0.012x1+28.0; the length of waste transportation: y2=0.0027x1+66.0; the y2 in the above formula is the length to be calculated.

[0116] The relationship between the surgical area and the central operating area is fitted: y3=0.59x3-265.01; the relationship between the medical assistance area and the central operating area is fitted: y3=0.21x3+70.86; the relationship between the patient preparation area and the central operating area is fitted: y3=0.14x3-73.94; in the above formulas, x3 represents the area of ​​the central operating area, and y1 is the area of ​​the area to be determined.

[0117] Fig. 9 Part (a) shows the comparison between the total number of operating rooms in the case and the calculated number of beds for the project. Red indicates the number of operating rooms that should be set up according to the specifications, and blue indicates the actual number of operating rooms built in the central surgical department. Fig. 9 Part (b) shows the number of Level I (level 100) operating rooms in the case. Red represents the total number of operating rooms in the central operating department, and blue represents the total number of Level I (level 100) operating rooms. Fig. 9Part (c) shows the number of Grade II (Class 1000) operating rooms in the case. Red represents the total number of operating rooms in the central operating department, and blue represents the total number of Grade II (Class 1000) operating rooms. Fig. 9 Part (d) shows the number of Grade III (10,000) operating rooms in the case. Red represents the total number of operating rooms in the central operating department, and blue represents the total number of Grade III (10,000) operating rooms.

[0118] After the comprehensive efficiency evaluation system of the central surgical department and its element algorithm are established, all the scores in the system are calculated according to the rules to obtain a final score, which is used to select a better plane. The computer collects the corresponding data of the plane and scores each evaluation item one by one.

[0119] For control items, the product method is adopted. If they are met, the comprehensive efficiency score is ×1, if not met, the comprehensive efficiency score is ×0; for basic items, the superposition method is adopted, and accumulation is performed if they are met; for optimization items, the weighted superposition method is adopted, and the weight value w of each item is multiplied by the score N of the item.

[0120] That is, the comprehensive efficiency evaluation score of the central operating department = (basic item score + optimization item score × weight) × control item score.

[0121] For most functional rooms, the principle of basic configuration is adopted. For rooms that are reported to have insufficient space in the survey, a penalty system is adopted, and points are deducted in proportion if the configuration is below the basic requirements. For items that are considered as many as possible in the design, such as the number of operating rooms and storage space area, a reward system is adopted, and extra points are given for those that exceed the basic configuration requirements.

[0122] The final evaluation method for the comprehensive efficiency of the central operating department of a general hospital is shown in Table 2.

[0123] Table 2 Comprehensive efficiency evaluation method of the central surgery department of a general hospital

[0124]

[0125]

[0126] According to the physical properties of the building corresponding to each evaluation indicator in the comprehensive efficiency scoring framework of the operation, specific geometric evaluation rules are written, and the output end of the plane generation model is analyzed and individually corresponded to the input end of each evaluation indicator to form a continuous battery effect. The final seven indicators and the comprehensive efficiency evaluation score are converted into a visual expression to complete the evaluation system.

[0127] In another exemplary embodiment of the present application, in order to optimize the configuration parameters of the central operating room plan to be optimized, the above step 208 can be replaced by the following steps 901 to 902:

[0128] Step 901: Based on the comprehensive efficiency evaluation model of the central operating department, with configuration parameters as optimization variables and the scores of each single efficiency target as optimization targets, a multi-objective optimization algorithm is used to optimize the central operating department plan to obtain the optimal configuration parameters.

[0129] Step 902: Adjust the central operating department plan view to be optimized according to the optimal configuration parameters to obtain a final optimized central operating department plan view.

[0130] After selecting the final optimized floor plan, the Wallacei multi-objective optimization plug-in is used to complete the final floor plan optimization. In the multi-objective optimization, it is necessary to include the basic genotype (judged as an adjustable parameter, the optimization target is the score of each single efficiency, so that the optimal situation of a single efficiency target can be collected by using Wallacei's data analysis, and selected according to the actual design requirements) and the optimization target (that is, each optimization sub-item in the comprehensive efficiency evaluation framework of the central operating department established earlier, in addition to an optimization for the comprehensive needs of the central operating department, the single optimal item in the comprehensive optimal can distinguish different situations from needs). By changing the genotype, offspring are continuously generated for comparison and selection, and finally a Pareto solution set of the comprehensive optimality and its various optimization index data are obtained. Among them, the adjustable parameters refer to some parameters that can be selected according to the actual project needs. In addition to the basic total area, configuration scale, etc., it also includes whether some special functions need to be configured, the configuration area, whether to configure special operating rooms, and the detailed area of ​​some rooms can also be manually fine-tuned according to actual needs to adjust the generated results.

[0131] In another exemplary embodiment of the present application, in order to complete the initial design stage and enter the next step of the design process, after the above step 208, the method may further include the following steps 1001 to 1002. Among them:

[0132] Step 1001: Input the final optimized central surgical area plan view into the final plane deepening battery to obtain a generated map of the preliminary plane.

[0133] Step 1002: Export the generated drawing of the preliminary plane in the form of a line draft as a dwg, and input it into AutoCAD to complete the one-click conversion of the wall line to obtain the CAD plane layout drawing of the central operating room.

[0134] The purpose of this application is to provide a central operating room plane generation model that takes into account the actual design needs and space needs. Through rule-driven and multi-objective optimization, each optimization goal of the central operating room is evaluated and comprehensively optimized, and the computer's data analysis and computing power are used to reduce the workload of architects, instead of repeated trial and error, to obtain more accurate calculation results on some spatial data. This application can better respond to specific central operating room plane design needs and calculate the corresponding deduction goals in a targeted manner.

[0135] The following is a specific example to illustrate the process of this application method:

[0136] First, it is necessary to conduct preliminary data analysis on the general hospital where the central surgery department plan needs to be generated, such as Fig.13 As shown, the front-end data includes data information - the number of beds in the hospital construction, functional setting options, including family waiting area, medical / intraoperative lounge, restaurant (for medical use), special operating room, other operating room setting options, the area of ​​the operating room, column grid spacing value; and geometric information - the outline of the central operating department, entry point information, and traffic shaft area information.

[0137] After the above information is input into the central surgery department generation model, the preliminary generation results are obtained through the area division model, traffic generation model and room layout model. Here, a hospital is taken as an example. There are two preliminary plane basic models, such as Fig.14 shown. Fig.14 Part (a) shows the first preliminary plane basic type. Fig.14 Part (b) in FIG. 1 shows a second preliminary plane base type.

[0138] At this point, the designer analyzed the two generated planes based on the actual situation - Plane I scored higher in comprehensive efficiency than Plane II in the initial generation, and all indicators reflected normal results. According to the actual plane analysis of the comprehensive project, the left side of the central operating department is adjacent to the medical street, which runs through it from top to bottom. In terms of regional distribution, Plane I divides the patient preparation area as a whole on the left side of the central operating department, which is vertically connected. In subsequent adjustments, a new patient entrance and exit can be opened facing the medical street on the left. In addition, considering that the right side of the central operating department is adjacent to the ICU area, although the difference in the area of ​​the two areas is within the tolerance range, the doctor area distribution of Plane I is significantly larger, which is relatively more suitable for direct connection with the ICU area corridor (setting a buffer area), so that the medical and nursing living area can be considered to be shared with the ICU area. Here, combined with the actual design of the central operating department of the project, the generated result I (basic type) is used as an optimization demonstration.

[0139] The generated result of plane I (basic type) is input into the regional division model. By dividing the area of ​​the surgical area plane, the division area values ​​of the three regions are obtained. The difference (absolute value) between the area of ​​the three regions and the area of ​​the predicted region is optimized. When the sum of the area difference (absolute value) is the smallest, the division plane is output, such as Fig.14 shown.

[0140] The corridor system is initially generated for the two output regional planes, and the generated corridor system is regionally judged. In the corridor optimization process, the generation of the type II corridor system in the regional generation plane I and the generation of the type I corridor system in the regional generation plane II are judged. It is impossible to use the optimization rules of the corridor generation model to make the space on both sides of a corridor meet the minimum depth of the room, so the result cannot be output (according to the image, the elevator shaft area in the middle is blocked for too long in the horizontal direction, and the corridor cannot be generated). Finally, the corridor system plane result is output according to the regional generation result, as shown in the figure below. Fig.15 shown. Fig.15 Part (a), part (b), part (c) and part (d) in the figure show the plan results of four corridor systems.

[0141] The final room layout is generated for the two generated corridor planes. The generation conditions in this step are all the predicted values ​​obtained by the formula, including the number of functional rooms and the area of ​​functional rooms. Depending on the location of the entrance point and the corresponding area, there may be different room layout results. This example finally outputs two area distribution plans, such as Fig.16 and Fig.17 shown. Fig.16 Part (a) shows that the first generative model initially forms a planar graph set. Fig.16 Part (b) shows the first comprehensive efficiency evaluation data results. Fig.17 Part (a) of the figure shows that the second generative model initially forms a set of planar graphs. Fig.17 Part (b) shows the second comprehensive efficiency evaluation data results.

[0142] The generated results of plane I are input into the optimization model, and multi-objective optimization is performed with the six indicators in the comprehensive efficiency framework as the optimization targets. The optimal Pareto solution set is obtained as shown in Table 3. The final generated results are shown in Fig.18 shown.

[0143] Table 3 The optimal Pareto solution set

[0144]

[0145] From this example, a total of 28 Pareto optimal solution sets are obtained. At this time, you can filter a single optimization target in the Pareto solution set according to the actual needs of the project. For example, if you want to maximize the storage space, you can find the item with the largest storage space sufficiency value in the Pareto optimal solution set, such as Fig.19 As shown in the figure, when there is a large demand for storage or a large demand for other auxiliary spaces, the maximum storage space can be selected as the preliminary plane. Or, the maximum number of operating rooms that can be divided in the center's operating room plane can be solved, and the solution with the maximum scale sufficiency in the Pareto solution set is taken, and a total of 21 operating rooms are obtained, as shown in the figure. Fig. 20 shown.

[0146] At this point, you can adjust the data at the input end of the generated model again according to the actual situation of the example, such as increasing the configuration area of ​​the operating room and adjusting the slider of the operating room area value-added to generate the final situation, such as Fig.21 and Fig. 22 As shown, the final floor plan has a total of 15 operating rooms. Fig.21 Part (a) shows a plan view, Fig.21 Part (b) shows the adjustments made to some parameters in the model.

[0147] like Fig.23 As shown, after confirming the generated plane, the plane is input into the final plane deepening battery to obtain the generated drawing of the preliminary plane. The supplementary contents of the plane deepening battery include:

[0148] Integrate all lines. Including corridor lines and room lines. All operating room walls. Buffer rooms between channels. Partial functional space division.

[0149] like Fig.24 As shown in the figure, the plane after preliminary deepening is exported as a line draft in the form of dwg, and then entered into AutoCAD to complete the one-click conversion of the wall line, and the final generation result of this model is obtained, which is then connected to the next design process.

[0150] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for automatically generating a plan view of a hospital center operating department, characterized in that: include: Establish a comprehensive efficiency evaluation model for the central operating department; Extract the regular topological model of the plane of the hospital's central operating room; According to the plane design information of the central operating department of the hospital to be built, based on the regional allocation rules and the plane rule topological model, multiple regional division maps that meet the regional preset configuration data are obtained; Based on the plane rule topology model, according to the traffic system setting rules and connection rules of the central surgery department, the structural lines of the corridors are generated in each area division map; Optimize the geometric relationship between the corridor's structural line and the traffic shaft, adjust the corridor's position, and obtain multiple corridor system diagrams; The room topological relationship of each area in the plane regular topological model is brought into the corresponding area in each corridor system diagram to generate rooms and obtain multiple preliminary central operating department floor plans; Using the central operating department comprehensive efficiency evaluation model, comprehensively evaluate each preliminary central operating department plan to obtain a comprehensive efficiency evaluation score for each preliminary central operating department plan; Based on the comprehensive efficiency evaluation score and design requirements of each preliminary central operating department floor plan, a preliminary central operating department floor plan is selected as the central operating department floor plan to be optimized; A multi-objective optimization algorithm is used to optimize the configuration parameters of the central operating room plan to be optimized, and the final optimized central operating room plan is obtained.

2. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: According to the plane design information of the central operating department of the hospital to be built, based on the regional allocation rules and the plane rule topological model, multiple regional division maps that meet the regional preset configuration data are obtained, including: A linear regression equation was established between the total area of ​​the central surgical department and the area of ​​each region; According to the actual total area of ​​the central operating department of the hospital to be built, the predicted area of ​​each area is obtained by using the linear regression equation; Setting area allocation rules; the area allocation rules include external environment relationship and area connectivity; the external environment relationship means that the medical assistant area is directly connected to the doctor entrance, and the patient preparation area is connected to the patient entrance; the area connectivity means that the operating area is absolutely adjacent to the medical assistant area and the patient preparation area, and the medical assistant area is connected to the patient preparation area; According to the contour curve of the central operating room, the entry point information, the area information of the traffic shaft and the spacing value of the column grid, based on the area allocation rule and the plane rule topological model, a plurality of preliminary area division maps are obtained; Determine the calculated area of ​​each region in each preliminary region division map; A preliminary regional division map is selected in which the difference between the calculated area of ​​each region and the predicted area of ​​the respective region is less than or equal to the preset tolerance value, and is determined as the regional division map that meets the regional preset configuration data.

3. The method for automatically generating a plan view of a hospital center operating department according to claim 2, characterized in that: The linear regression equations of the total area of ​​the central operating department and the area of ​​each area include: the linear regression equation of the total area of ​​the central operating department and the area of ​​the operating area, the linear regression equation of the total area of ​​the central operating department and the area of ​​the medical and nursing auxiliary area, and the linear regression equation of the total area of ​​the central operating department and the area of ​​the patient preparation area; The linear regression equation of the total area of ​​the central surgical area and the surgical area is: 手术区 =0.59×S 中心手术部 -265.01; where S 手术区 is the surgical area, S 中心手术部 is the total area of ​​the central surgical department; The linear regression equation of the total area of ​​the central operating department and the area of ​​the medical auxiliary area is: 医护辅助区 =0.21×S 中心手术部 +70.86; where S 医护辅助区 It is the area of ​​the medical auxiliary area; The linear regression equation of the total area of ​​the central operating room and the area of ​​the patient preparation area is: 患者准备区 =0.14×S 中心手术部 -73.94; where S 患者准备区 Prepare the area for the patient.

4. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: Based on the plane rule topology model, according to the traffic system setting rules and connection rules of the central surgery department, the structural lines of the corridor are generated in each area division map, including: Define the traffic system setting rules of the central operating department; the traffic system setting rules of the central operating department are: the traffic system of the central operating department is in the form of a double corridor plane and is a waste recovery plane; Define the connection rules of the central operating department traffic system; the connection rules of the central operating department traffic system include: the corridor of the medical and nursing auxiliary area is connected with the clean corridor of the operating area, the clean corridor is connected with the dirty corridor, and the corridor of the medical and nursing auxiliary area is connected with all traffic wells in the medical and nursing auxiliary area; Based on the plane rule topology model, the structural lines of the corridors are generated in each area division map according to the setting rules and connection rules of the central operating department traffic system.

5. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: Optimize the geometric relationship between the corridor's structural line and the traffic shaft, adjust the corridor's position, and obtain multiple corridor system diagrams, including: Determine the discrimination area between the two ends of each corridor structure line in the medical auxiliary area; Adjust the location of the corridor in the medical auxiliary area so that the identification area does not contain built-in column points and does not intersect with the traffic shaft; The position of the corridor of the operating area is adjusted according to the relationship between the sewage elevator and the sewage corridor, and the relationship between the clean elevator and the clean corridor, so as to obtain multiple corridor system diagrams.

6. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: Bring the room topology relationship of each area in the plane regular topology model into the corresponding area in each corridor system diagram to generate rooms, including: If there is no inset column in the area of ​​the corridor system diagram, the rooms are generated in sequence according to the room topology of the area, starting from the entrance point and based on the room area attributes; If there are interpolated columns in the area of ​​the corridor system diagram, the column grid is determined and the room is generated in sequence starting from the preset allocation end to ensure that there are no interpolated columns in the room.

7. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: Establish a comprehensive efficiency evaluation model for the central operating department, including: The first-level goal is set as the comprehensive efficiency of the central operating department of a general hospital, and the secondary goal is a single efficiency goal. The evaluation index of the single efficiency goal corresponds to the physical properties of the building; the single efficiency goal includes space configuration and use effectiveness; the evaluation index of the space configuration includes storage space sufficiency, scale rationality and room configuration rationality; the evaluation index of the use effectiveness includes cleanliness and pollution resistance, traffic compactness, traffic efficiency and environmental comfort; The evaluation categories of evaluation indicators are divided into three levels: control items, basic items and optimization items; The evaluation formula for the comprehensive efficiency of the central operating department is: T = (F 基本项 +F 优化项 ×ω)×F 控制项 ; In the formula, T is the comprehensive efficiency evaluation score, F 基本项 is the basic item score, F 优化项 is the optimization item score, ω is the optimization item weight, F 控制项 Score for the control item.

8. The method for automatically generating a plan view of a hospital center operating department according to claim 7, characterized in that: Using the central operating department comprehensive efficiency evaluation model, a comprehensive evaluation is performed on each preliminary central operating department plan to obtain a comprehensive efficiency evaluation score for each preliminary central operating department plan, specifically including: The linear regression relationship between building physical properties and configuration parameters is obtained using machine learning algorithms; According to the configuration parameters of each preliminary central operating department plan, the linear regression relationship between the building physical attributes and the configuration parameters is used to predict the evaluation index value corresponding to each preliminary central operating department plan; According to the evaluation index value, the comprehensive efficiency evaluation score of each preliminary central operating department plan is obtained by using the central operating department comprehensive efficiency evaluation model.

9. The method for automatically generating a plan view of a hospital center operating department according to claim 7, characterized in that: A multi-objective optimization algorithm is used to optimize the configuration parameters of the central operating room plan to be optimized, and the final optimized central operating room plan is obtained, including: Based on the comprehensive efficiency evaluation model of the central operating department, the configuration parameters are taken as optimization variables, and the scores of each single efficiency target are taken as optimization targets. The multi-objective optimization algorithm is used to optimize the floor plan of the central operating department to obtain the optimal configuration parameters. The central operating department plan to be optimized is adjusted according to the optimal configuration parameters to obtain the final optimized central operating department plan.

10. The method for automatically generating a plan view of a hospital center operating department according to claim 1, characterized in that: A multi-objective optimization algorithm is used to optimize the configuration parameters of the central operating room plan to be optimized, and the final optimized central operating room plan is obtained, which also includes: The final optimized central surgical department plan is input into the final plan deepening battery to obtain the generated map of the preliminary plan; The generated drawing of the preliminary plane was exported as a line draft in the form of dwg, and then input into AutoCAD to complete the one-click conversion of the wall line to obtain the CAD floor plan of the central operating room.

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