Design parameter acquisition method, device, electronic device and storage medium

Abstract

The present invention proposes a design parameter acquisition method, device, electronic device and storage medium, which belongs to the field of data processing. The method includes: based on the standard specification and the configuration of the number of beds of the first instance group, obtaining the bed scale of the institution to be designed; based on the area configuration of the second instance group and the standard specification, obtaining the construction area; based on the department configuration of the third instance group, the standard specification and the first conversion coefficient, obtaining multiple configuration departments and the second use area of ​​each configuration department; based on the business room configuration of the third instance group and the standard specification, obtaining the business room information of each configuration department; based on the construction area, modifying the department combination information and the business room information, and obtaining the design parameters of the institution to be designed. In this way, the standardized and rapid generation of the institution design parameters is realized, which greatly shortens the time consumption of the institution building design, improves the design efficiency, and greatly reduces the cost of human participation.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a design parameter acquisition method, device, electronic equipment and storage medium. Background Art

[0002] Basic medical construction is an important guardian and cornerstone of rural revitalization, a necessary guarantee for a healthy China, and a key content of current rural construction. As the core carrier of basic medical care, township health centers have few specific measures and standardized methods for their construction. Due to their complex functions, deep professionalism, and interdisciplinary connections between architecture and medicine, how to plan and build township health centers has always been a difficult problem, and there is a certain blank area in achieving standardized construction.

[0003] At present, designers usually design township health centers based on experience and standards. However, this method requires high level of designers, is time-consuming and inefficient. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a design parameter acquisition method, device, electronic device and storage medium, which can reduce the dependence on the level of designers by automatically acquiring the design parameters of the structure to be designed, greatly reduce time consumption, and improve design efficiency.

[0005] In order to achieve the above purpose, the technical solution adopted by the embodiment of the present invention is as follows:

[0006] In a first aspect, an embodiment of the present invention provides a method for obtaining design parameters, the method comprising:

[0007] From the preset specification and instance library, a standard specification and a first instance group matching the design control parameters of the institution to be designed are screened out, and based on the configuration of the number of beds of the standard specification and the first instance group, the bed scale of the institution to be designed is obtained;

[0008] Screening out a second instance group matching the bed scale from the first instance group, and obtaining the construction area of ​​the institution to be designed based on the area configuration of the second instance group and the standard specification;

[0009] A third instance group matching the construction area is selected from the second instance group, and department combination information of the institution to be designed is obtained based on the department configuration of the third instance group, the standard specification and the first conversion coefficient; wherein the first conversion coefficient is a preset ratio of the use area to the construction area of ​​the institution to be designed, and the department combination information includes a plurality of configured departments and a second use area of ​​each of the configured departments;

[0010] Based on the business room configuration of the third instance group and the standard specification, obtaining the business room information of each of the configured departments;

[0011] Based on the construction area, the department combination information and the business room information are modified to obtain the design parameters of the organization to be designed.

[0012] Optionally, the step of modifying the department combination information and the business room information based on the construction area to obtain the design parameters of the organization to be designed includes:

[0013] For each of the configuration departments, the first configuration values ​​of each design instance in the third instance group are counted to obtain a first configuration section, the first configuration section after removing the extreme value is used as a reasonable conversion section, and the median value of the first configuration section is used as a pre-selected conversion value of the configuration department; wherein the first configuration value is a second conversion coefficient of the configuration department, and the second conversion coefficient is a ratio of the use area of ​​the configuration department to the construction area;

[0014] Calculate the preselected total area according to the preselected conversion value of each of the configured departments and the second usable area;

[0015] When the pre-selected total area is equal to the construction area, the current bed capacity, the construction area, the department combination information and the business room information are used as the design parameters of the institution to be designed;

[0016] When the preselected total area and the construction area are not equal, determining whether each of the preselected conversion values ​​is in the corresponding reasonable conversion range;

[0017] If yes, the first conversion coefficient of the organization to be designed is adjusted to obtain the next first conversion coefficient, and the step of returning to execute the step of obtaining the department combination information of the organization to be designed based on the department configuration of the third instance group, the standard specification and the first conversion coefficient;

[0018] If not, the pre-selected conversion value of each configured department is adjusted in combination with each of the reasonable conversion segments, and the process returns to execute the step of calculating the pre-selected total area based on the pre-selected conversion value of each configured department and the second usage area.

[0019] Optionally, the step of adjusting the preselected conversion value of each configured department in combination with each reasonable conversion segment includes:

[0020] When the pre-selected total area is smaller than the construction area, for each of the configured departments, the pre-selected conversion value is combined with the reasonable conversion segment corresponding to the configured department to calculate the negative adjustment step of the pre-selected conversion value, and the difference between the pre-selected conversion value and the negative adjustment step is used as the next pre-selected conversion value of the configured department;

[0021] When the preselected total area is larger than the construction area, for each of the configured departments, the preselected conversion value is combined with the reasonable conversion segment corresponding to the configured department to calculate the positive adjustment step of the preselected conversion value, and the sum of the preselected conversion value and the positive adjustment step is used as the next preselected conversion value of the configured department.

[0022] Optionally, the design control parameters include the number of people served, and the standard specifications include the standard section of per capita beds, population growth rate and per capita bed growth rate;

[0023] The step of obtaining the bed scale of the institution to be designed based on the standard specification and the configuration of the number of beds of the first instance group includes:

[0024] Counting the second configuration value of each design instance in the first instance group to obtain a second configuration section, and determining a high-frequency section of beds from the second configuration section; wherein the second configuration value is a configuration value of the number of beds per capita;

[0025] When the bed high frequency section is within the standard section, selecting a value from the bed high frequency section as a target value;

[0026] When the bed high-frequency section is not located in the standard section, determining a hit section located in the standard section from the bed high-frequency section, and selecting a value from the hit section as a target value;

[0027] The future population is calculated based on the service population and the population growth rate. The future number of beds per capita is calculated based on the target value and the per capita bed growth rate. The bed scale is calculated based on the future population and the future per capita bed number.

[0028] Optionally, the step of obtaining the construction area of ​​the structure to be designed based on the area configuration of the second instance group and the standard specification includes:

[0029] Counting the third configuration values ​​of each design instance in the second instance group to obtain a third configuration segment, and removing the extreme value in the third configuration segment to obtain an optimized area segment; wherein the third configuration value is a configuration value of the construction area;

[0030] According to the bed size, obtaining the area specification section corresponding to the bed size from the standard specification;

[0031] Calculating an area intersection section of the area standard section and the optimized area section, and selecting a value from the area intersection section as a preselected area;

[0032] According to the target construction cost, the pre-selected area is optimized and adjusted to obtain the construction area.

[0033] Optionally, the standard specification includes a guide unit price area;

[0034] The step of optimizing and adjusting the pre-selected area according to the target construction cost to obtain the construction area includes:

[0035] Counting the local unit price of each design instance in the second instance group to obtain a unit price segment, and filtering out extreme values ​​in the unit price segment to obtain a unit price optimization segment;

[0036] Calculating a unit price intersection section of the guiding unit price section and the unit price optimization section, and selecting a comprehensive unit price from the unit price intersection section;

[0037] Calculating an expected construction cost based on the comprehensive unit price and the pre-selected area, and determining whether the expected construction cost meets the target construction cost;

[0038] If not, an adjustment warning page is generated and displayed to prompt the user to adjust the pre-selected area, and the adjusted area input by the user is obtained as the construction area;

[0039] If so, the pre-selected area is used as the construction area.

[0040] Optionally, the standard specification includes a minimum department area;

[0041] The step of obtaining department combination information based on the department configuration of the third instance group, the standard specification and the first conversion coefficient includes:

[0042] Retrieving a preset first conversion coefficient, calculating the product of the first conversion coefficient and the construction area, and obtaining a first usable area;

[0043] Counting the department configuration of each design instance in the third instance group, obtaining the configuration frequency of each department, and sorting the departments in descending order of configuration frequency to obtain a department queue;

[0044] If the required number of departments input by the user does not exist, the first department in the department queue is used as a pre-selected department, and design instances configured with both the locked department input by the user and the pre-selected department are screened out from the third instance group to obtain a first area group;

[0045] Counting the first area configuration values ​​of each design example in the first area group to obtain a first area segment, and selecting a value from the first area segment as the second usage area of ​​the preselected department; wherein the first area configuration value is the usage area value of the preselected department;

[0046] Calculate the sum of the second usage area of ​​the preselected department and the second usage area of ​​the locked department input by the user to obtain a total usage area, and calculate the difference between the first usage area and the total usage area to obtain a first remaining area;

[0047] If the first remaining area is smaller than the preset minimum department area, the first remaining area is evenly distributed to the pre-selected departments in proportion, and the current pre-selected departments and the locked department are used as the initial allocation departments;

[0048] If the first remaining area is greater than the preset minimum department area, the department in the department queue after the pre-selected department is used as the next pre-selected department, and the step of returning to the third instance group to filter out the design instances of the locked department configured with the user input and the pre-selected department at the same time to obtain the first area group;

[0049] If the first remaining area is zero, the locked department and the current pre-selected departments are used as the initial allocation departments;

[0050] The initially assigned departments are optimized and adjusted to obtain department combination information.

[0051] Optionally, after the step of sorting the departments configured in each design instance in descending order of configuration frequency to obtain a department queue, and before the step of optimizing and adjusting the initially configured departments to obtain department combination information, the method further includes:

[0052] If there is a required number of departments input by the user, the departments in the department queue that are ranked before the target ranking and the locked departments input by the user will be used as initially matched departments, and the first usage area will be allocated to each of the initially matched departments, and the second usage area of ​​each of the initially matched departments will be determined to obtain department combination information.

[0053] Optionally, the step of optimizing and adjusting the initially matched departments to obtain department combination information includes:

[0054] Obtaining department optimization information input by a user; wherein the department optimization information includes adding a new department and deleting a department;

[0055] When the department optimization information is a newly added department, the second area configuration value of each design instance in the third instance group is counted to obtain a second area segment, the median value of the second area segment is used as the second use area of ​​the newly added department, and the second use area of ​​each initially assigned department is reduced according to the ratio between the second use area of ​​the newly added department and the first use area; wherein the second area configuration value is the use area value of the newly added department;

[0056] When the department optimization information is to delete a department, the second usable area of ​​the deleted department is evenly divided into the remaining initially allocated departments.

[0057] Optionally, the standard specifications include the necessary rooms for each department and the minimum number of each type of room;

[0058] The step of obtaining the business room information of each configured department based on the business room configuration status of the third instance group and the standard specification includes:

[0059] For each of the configured departments, a design instance matching the second usage area of ​​the configured department is selected from the third instance group to obtain a department instance group, and room configuration information of the configured department is statistically obtained from each design instance of the department instance group; wherein the room configuration information includes multiple rooms configured in the configured department and the configuration frequency of each room;

[0060] The necessary rooms for the configuration department described in the standard specification and the rooms whose configuration frequency meets the preset hit threshold are used as the configuration rooms for the configuration department;

[0061] For each of the configuration rooms, the minimum number of configuration rooms in the standard specification is used as the initial number, and the fourth configuration value of each design instance in the department instance group is counted to obtain a fourth configuration section, and a value is selected from the fourth configuration section as the initial area of ​​the configuration room; wherein the fourth configuration value is the use area of ​​the configuration room;

[0062] Combined with the second usable area of ​​the configured department, and the initial number and initial area of ​​each configured room of the configured department, the number and design area of ​​each configured room are obtained.

[0063] Optionally, the step of obtaining the number and design area of ​​each configuration room in combination with the second usage area of ​​the configuration department and the initial number and initial area of ​​each configuration room of the configuration department includes:

[0064] For each of the configured rooms, the quantity configuration section of the configured rooms is counted from the department instance group, a value is selected from the quantity configuration section as the quantity reference value of the configured rooms, and the difference between the quantity reference value and the initial quantity of the configured rooms is calculated to obtain the quantity difference;

[0065] From all the configured rooms of the configured department, select the configured room with the largest quantity difference as the target room;

[0066] Add one to the quantity value of the target rooms to obtain the current quantity of the target rooms, and calculate the current total area of ​​the configured departments according to the current quantity and initial area of ​​each configured room of the configured departments;

[0067] Calculate the difference between the second usable area of ​​the configured department and the current total area to obtain a second remaining area, and determine whether the second remaining area is less than a preset minimum room area;

[0068] If yes, the second remaining area is allocated to at least one of the configuration rooms to obtain the design area of ​​each of the configuration rooms;

[0069] If not, update the quantity difference of the target room, and return to the step of selecting the configuration room with the largest quantity difference as the target room from all the configuration rooms of the configuration department, until the second remaining area is less than the preset minimum room area.

[0070] In a second aspect, an embodiment of the present invention provides a design parameter acquisition device, including a bed design module, an area design module, a department design module, a room design module and a parameter optimization module;

[0071] The bed design module is used to screen out standard specifications and a first instance group that match the design control parameters of the institution to be designed from a preset specification and instance library, and obtain the bed scale of the institution to be designed based on the standard specifications and the configuration of the number of beds of the first instance group;

[0072] The area design module is used to select a second instance group matching the bed scale from the first instance group, and obtain the construction area of ​​the institution to be designed based on the area configuration of the second instance group and the standard specification;

[0073] The department design module is used to filter out a third instance group that matches the construction area from the second instance group, and obtain department combination information of the institution to be designed based on the department configuration of the third instance group, the standard specification and the first conversion coefficient; wherein the first conversion coefficient is a preset ratio of the use area to the construction area of ​​the institution to be designed, and the department combination information includes a plurality of configured departments and a second use area of ​​each of the configured departments;

[0074] The room design module is used to obtain the business room information of each configured department based on the business room configuration of the third instance group and the standard specification;

[0075] The parameter optimization module is used to modify the department combination information and the business room information based on the construction area to obtain the design parameters of the organization to be designed.

[0076] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor can execute the machine executable instructions to implement a design parameter acquisition method as described in any one of the first aspects.

[0077] In a fourth aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the design parameter acquisition method as described in any one of the first aspects is implemented.

[0078] The beneficial effects of the design parameter acquisition method, device, electronic device and storage medium provided by the present invention include: (1) a systematic and automated method for acquiring the design parameters of the structure to be designed is proposed, which can realize the standardized and rapid generation of the structure design parameters, greatly shorten the time of the structure building design, and improve the design efficiency; (2) there is no need to rely on the experience level of the designer, which greatly reduces the cost of human participation.

[0079] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 A schematic diagram of the structure of a design parameter acquisition system provided by an embodiment of the present invention is shown.

[0081] Figure 2 A schematic structural diagram of an electronic device provided by an embodiment of the present invention is shown.

[0082] Figure 3 A schematic flow chart of a method for obtaining design parameters provided in an embodiment of the present invention is shown.

[0083] Figure 4 Shows Figure 3 Schematic diagram of the process flow of some sub-steps of step 11.

[0084] Figure 5 Shows Figure 3 Schematic diagram of the process flow of some sub-steps of step 13.

[0085] Figure 6 Shows Figure 5 A flowchart of some sub-steps of step 134 in FIG.

[0086] Figure 7 Shows Figure 3 One of the flowcharts of some sub-steps of step 15.

[0087] Figure 8 Shows Figure 7 A flowchart of some sub-steps of step 159.

[0088] Fig. 9 Shows Figure 3 The second flowchart of some sub-steps of step 15.

[0089] Fig.10 Shows Figure 3 Schematic diagram of the process of some sub-steps of step 17.

[0090] Fig.11 Shows Fig.10 A flowchart of some sub-steps of step 174.

[0091] Fig.12 Shows Figure 3 Schematic diagram of the process of some sub-steps of step 19.

[0092] Fig.13 A block diagram of a design parameter acquisition device provided by an embodiment of the present invention is shown.

[0093] Explanation of the accompanying drawings: 10 - design parameter acquisition system; 110 - client; 120 - design equipment; 130 - data equipment; 20 - electronic equipment; 210 - memory; 220 - processor; 230 - communication module; 30 - design parameter acquisition device; 310 - bed design module; 320 - area design module; 330 - department design module; 340 - room design module; 350 - parameter optimization module. DETAILED DESCRIPTION

[0094] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0095] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0096] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0097] The design parameter acquisition method provided by the embodiment of the present invention can be applied to Figure 1 In the design parameter acquisition system 10 shown, the design parameter acquisition system 10 includes a client 110, a design device 120 and a data device 130. The design device 120 can be connected to the client 110 via a network, and the design device 120 can be communicated with the data device 130 via a network, a local area network, a wired connection, etc.

[0098] The data device 130 is provided with a specification and example library and real scene information, and the specification and example library stores standard specifications and design examples of various institutions. For example, when the institution is a medical institution, the data device 130 stores design examples of various medical institutions (such as general hospitals, specialized hospitals, maternal and child health hospitals, and traditional Chinese medicine hospitals) at all levels (such as tertiary hospitals, health service centers, central health centers, and county hospitals, etc.).

[0099] The design examples include the total building area (construction area) of each institution, service area (i.e. service scope, geographical location of service, city and other positioning related to the level of social and economic development), service population, type, level, number of beds, department, department's use area and building area, department's business premises (i.e. functional premises) and area and quantity of business premises, etc. Standard specifications include constraints of institutions at all levels, constraints of various institutions, constraints of various departments, service capabilities, business requirements and other constraint data. Real scene information includes all regions currently known in the world, the number of permanent residents in the region and the population growth rate of the region.

[0100] The client 110 is used to provide a service front end (such as a web page or application software) of the design parameter acquisition platform, so that users can input the design control parameters of the organization to be designed, and send the design control parameters to the design device 120. The design control parameters may include data such as the service area, type, service population and level of the organization to be designed.

[0101] The design device 120 is used to provide a service backend of the design parameter acquisition platform, receive the design control parameters input by the client 110, access the standard specifications and design examples stored in the data device 130, and implement the design parameter acquisition method provided in the embodiment of the present invention, and send the obtained design parameters to the client 110.

[0102] The client 110 is also used to receive and display design parameters.

[0103] The client 110 includes but is not limited to: a personal computer, a laptop computer, a tablet computer, a wearable portable device, a mobile phone and other mobile terminals, and the design device 120 and the data device 130 can be but are not limited to: a server, a server cluster, a personal computer, a laptop computer, a tablet computer, a wearable portable device, a mobile phone and other mobile terminals. The client 110, the design device 120 and the data device 130 can be the same device, or three, two or one devices, which is not limited in this embodiment.

[0104] Please refer to Figure 2 , is a block diagram of an electronic device 20, Figure 1 The structure of the design device 120 can be as follows Figure 2 As shown. The electronic device 20 includes a memory 210, a processor 220 and a communication module 230. The memory 210, the processor 220 and the communication module 230 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines.

[0105] The memory 210 is used to store programs or data. The memory 210 may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc.

[0106] The processor 220 is used to read / write data or programs stored in the memory 210 and execute corresponding functions.

[0107] The communication module 230 is used to establish a communication connection between the electronic device 20 and other communication terminals through the network, and to send and receive data through the network.

[0108] It should be understood that Figure 2 The structure shown is only a schematic diagram of the structure of the electronic device 20. The electronic device 20 may also include Figure 2 More or fewer components as shown, or with Figure 2 Different configurations are shown. Figure 2 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0109] Please refer to Figure 3 , which is a flow chart of a method for obtaining design parameters provided by an embodiment of the present invention, can be Figure 1 The design parameter acquisition method includes steps 11 to 19.

[0110] Step 11, from the preset specification and instance library, select the standard specification and the first instance group that match the design control parameters of the institution to be designed, and obtain the bed scale of the institution to be designed based on the bed number configuration of the standard specification and the first instance group.

[0111] Step 13, selecting a second instance group that matches the bed scale from the first instance group, and obtaining the construction area of ​​the institution to be designed based on the area configuration and standard specifications of the second instance group.

[0112] Step 15, selecting a third instance group matching the construction area from the second instance group, and obtaining department combination information of the institution to be designed based on the department configuration, standard specifications and the first conversion coefficient of the third instance group.

[0113] The first conversion coefficient is a preset ratio of the usable area to the construction area of ​​the organization to be designed, and the department combination information includes a plurality of configured departments and a second usable area of ​​each configured department.

[0114] Step 17, based on the business room configuration status and standard specifications of the third instance group, obtain the business room information of each configured department.

[0115] Step 19, based on the construction area, the department combination information and business room information are modified to obtain the design parameters of the organization to be designed.

[0116] For example, in combination Figure 1 As shown, the user inputs the design control parameters of the structure to be designed on the service front end of the design parameter acquisition platform on the client 110, and the client 110 sends the design control parameters to the design device 120. After receiving the design control parameters, the design device 120 improves the design control parameters to obtain the improved design control parameters.

[0117] For example, when the design control parameters sent by the client 110 only include the service area, type and number of service population, the preset organization level classification rules are queried based on the service area, number of service population and type to obtain the level (i.e., positioning) of the organization to be designed. When the design control parameters sent by the client 110 only include the service area, organization type and organization level, the real scene information is queried to determine the number of service population in the service area. In this way, the basic necessary data of the design control parameters are improved.

[0118] Furthermore, the design device 120 selects design examples that are consistent with the service area, institution type and institution level of the institution to be designed from the preset specifications and instance library to obtain the first instance group, and selects the standard specifications of the institution level of the institution type from the preset specifications and instance library. Next, based on the standard specifications, the bed scale of the institution to be designed is obtained with reference to the configuration of the number of beds in the first instance group, such as taking a value in the bed scale of each design instance in the first instance group as the bed scale of the institution to be designed. On the basis of obtaining the bed scale, a bed scale segment with the bed scale as the middle value is calculated with a preset floating ratio. The design device 120 selects all design examples with bed scales within the bed scale segment from the first instance group to obtain the second instance group, thereby obtaining the construction area (i.e., total building area) of the institution to be designed based on the constraints of the standard specifications and with reference to the area configuration of the second instance group.

[0119] Among them, the floating ratio can be set flexibly. Taking the floating ratio of ±10% and the bed scale of 1 bed per thousand people as an example, the bed scale range is 0.9 beds per thousand people to 1.1 beds per thousand people. When it is constrained by various regulations and relevant plans, such as the health plan 2030 bed density reaches 0.95 beds per thousand people or more, the bed scale range is changed to 0.95 beds per thousand people to 1.1 beds per thousand people.

[0120] After obtaining the construction area of ​​the institution to be designed, the design device 120 calculates the area floating segment with the construction area as the middle value (the calculation method is shown in the calculation method of the bed scale segment above) with a preset floating ratio (the preset floating ratio can be obtained based on multiple rounds of data analysis, operational feedback chain, and iterative optimization during simulation and practical application), and the design agency selects all design instances with construction areas within the area floating segment from the second instance group to obtain the third instance group. Furthermore, based on the department configuration, standard specifications and the first conversion coefficient of the third instance group, the design device 120 obtains the department combination information of the institution to be designed, that is, the multiple configured departments of the institution to be designed and the second usage area of ​​each configured department.

[0121] After obtaining multiple configuration departments of the organization to be designed and the second use area of ​​each configuration department, the design device 120 obtains the business room information of each configuration department, that is, the number and area of ​​multiple business rooms of the configuration department, each type of room, based on the standard specification and the business room configuration of the department of each design example in the third example group. Further, the design device 120 modifies the department combination information and business room information based on the construction area of ​​the organization to be designed, so that parameters such as area are more reasonable, and obtains the design parameters of the organization to be designed.

[0122] In the above design parameter acquisition method, through steps 11 to 19, a systematic and automated acquisition method for the design parameters of the organization to be designed is proposed, which realizes the standardized and rapid generation of the organization design parameters, greatly shortens the time consumption of the organization building design, and improves the design efficiency. At the same time, there is no need to rely on the experience level of the designer, which greatly reduces the cost of human participation. Intelligent use of multi-source data, larger, wider and stronger database, stronger computing power algorithm, more comprehensive data analysis, and more objective scientific guidance design.

[0123] The purpose of step 11 is to obtain a reasonable and standardized bed size of the institution to be designed, and the method of obtaining the bed size can be flexibly set.

[0124] For example, the bed constraints of the institution to be designed can be obtained from the standard specifications, and the bed scale of the design examples in the first instance group that are similar to the type, level and service population of the institution to be designed can be extracted as the historical scale, and the bed constraints and each historical scale can be input into a preset bed scale solution model or a neural network model to obtain the optimal solution result as the bed scale of the institution to be designed. Among them, the bed scale solution model can be a formula model obtained by fitting the bed scale and related factors (such as total area, service population, etc.) of the historical design institution (i.e., the existing institution) using curve fitting, least squares method and other formula fitting methods.

[0125] Alternatively, the bed size of the design examples in the first example group that are similar to the type, level, and service population of the institution to be designed can be extracted as reference values, and the median, average, or highest frequency value of each reference value that meets the bed constraint can be used as the bed size of the institution to be designed. This is not specifically limited in this embodiment.

[0126] In order to make the obtained bed scale as reasonable as possible and adapt to the future development of the institution to be designed, in the acquisition of the bed scale in step 11, the increase in the future preset year period (including the increase in per capita beds and the increase in regional population) is taken as an influencing factor. For example, the standard specification may include the increase in per capita beds, the standard range of per capita beds of various levels of each type of institution, and the population increase and of each service area. Please refer to Figure 4 , the process of obtaining the bed capacity scale of the institution to be designed in step 11 may include the following steps.

[0127] Step 111 , counting the second configuration values ​​of each design instance in the first instance group to obtain a second configuration segment, and determining a high-frequency segment of beds from the second configuration segment.

[0128] Among them, the second configuration value is the configuration value of the number of beds per capita. The second configuration segment is a numerical segment composed of all second configuration values, and when counting the second configuration values, the configuration times of each second configuration value (that is, the number of design instances where the number of beds per capita is the second configuration value) are counted together, and then the second configuration values ​​whose configuration times are greater than a preset high-frequency threshold (which can be 1 or 2, not limited here) are extracted from the second configuration segment to obtain the high-frequency segment of beds.

[0129] It should be noted that the ratio of the number of configurations of each second configuration value to the total number of configurations (i.e., the sum of the number of configurations of each second configuration value) can also be calculated, and the ratio can be used as the configuration probability to extract the second configuration value with a configuration probability greater than a preset high-frequency threshold (which can be 6% or 60%, not limited here) from the second configuration segment to obtain the high-frequency segment of the bed. The high-frequency segment of the bed can also be obtained by removing extreme values. Moreover, the above method of obtaining the high-frequency segment of the bed is only an example, and the setting can be adjusted immediately during multiple trial runs or when the database is updated, and its specific implementation method is not limited.

[0130] Step 112: When the high-frequency section of the bed is within the standard section, a value is selected from the high-frequency section of the bed as a target value.

[0131] Step 113: when the high-frequency section of the bed is not located in the standard section, a hit section located in the standard section is determined from the high-frequency section of the bed, and a value is selected from the hit section as a target value.

[0132] Step 114, calculate the future population based on the service population and the population growth rate, calculate the future per capita number of beds based on the target value and the per capita bed growth rate, and calculate the bed scale based on the future population and the future per capita number of beds.

[0133] The hit segment in step 113 is the intersection of the high-frequency segment and the standard segment. The target value can be flexibly set, for example, it can be a randomly selected value, the median value of the hit segment, or the average value of the hit segment, which is not limited here.

[0134] When calculating the median value, the configuration times of each second configuration value of the hit segment may be obtained first, and then based on the configuration times and each second configuration value of the hit segment, the median value of the hit segment may be calculated using the median calculation formula.

[0135] The median calculation formula includes:

[0136] Among them, M v represents the median value, n represents the total number of the second configuration values ​​hitting the segment, and C i Represents the i-th second configuration value, N i Indicates the configuration count of the i-th second configuration value.

[0137] When calculating the average value, you can first obtain the configuration times of each second configuration value of the hit segment, and then calculate the total configuration times of all second configuration values ​​of the hit segment. According to the total configuration times and the configuration times of the second configuration values, calculate the configuration probability of each second configuration value of the hit segment, and then based on the configuration probability and each second configuration value of the hit segment, use the average value calculation formula to calculate the average value of the hit segment.

[0138] The average calculation formula includes:

[0139]

[0140] Among them, A v Characterize the mean value, P i Characterizes the configuration probability of the i-th second configuration value.

[0141] After the target value is obtained in the above manner, in step 114, the design life is first determined according to the design control parameters. If the design life is not included in the design control parameters, the default life (such as 5 years) is used as the design life. If the design life is included in the design control parameters, the value is used as the design life. Thus, the future population is calculated based on the service population, population growth rate and design annual salary, and the future per capita number of beds is calculated based on the target value, per capita bed growth rate and design life. Then, the product of the future population and the future per capita number of beds is used as the bed scale (i.e., the number of beds) of the institution to be designed.

[0142] The future population can be expressed as: p f =p c ×(1+1×(1+Z 1 )+…+1×(1+Z 1 ) k-1 ), where p f Represents the future population, p c Represents the number of service population, Z 1 represents the population growth rate, and k represents the design life.

[0143] The number of beds per capita in the future can be expressed as: b f =b c ×(1+1×(1+Z 2 )+…+1×(1+Z 2 ) k-1 ), where b f Indicates the number of beds per capita in the future, b c Characterize the target value, Z 2 Represents the increase in per capita beds.

[0144] Through the above steps 111 to 114, in the process of determining the bed scale of the institution to be designed, reference is made to the bed scale of design examples that have been designed and constructed in the past and are similar to the institution to be designed, as well as the population growth rate and the per capita bed growth rate, and the design number of beds, development growth rate and bed specifications are fully considered, which greatly increases the rationality and standardization of the bed scale, thereby improving the practicality of the bed scale.

[0145] After obtaining the bed scale of the institution to be designed, in step 13, design examples matching the bed scale obtained in the above steps 111 to 114 are screened out from the first example group to obtain a second example group consisting of these design examples. Furthermore, the construction area of ​​the institution to be designed can be obtained in a variety of ways, which are not limited in this embodiment.

[0146] For example, the area constraint of the institution to be designed can be obtained from the standard specification, and the construction area of ​​each design example in the second example group can be extracted as the historical area. The area constraint and each historical area can be input into a preset area solution model or a neural network model to obtain the optimal solution result as the construction area of ​​the institution to be designed. The area solution model can be a formula model obtained by fitting the area of ​​the historical design institution (i.e., the existing institution) and related factors (such as bed size, type, level, etc.) using a formula fitting method such as curve fitting and least squares method.

[0147] Alternatively, the construction area of ​​each design example in the second example group may be extracted as a reference value, and the median, average or highest frequency value of each reference value that meets the area constraint may be used as the construction area of ​​the structure to be designed.

[0148] Among them, the area constraint can be shown in Table 1.

[0149] Table 1

[0150]

[0151] In order to make the construction area as reasonable and practical as possible, the construction cost is used as an optimization factor in obtaining the construction area in step 13. For example, please refer to Figure 5 The process of obtaining the construction area of ​​the structure to be designed in step 13 may include the following steps.

[0152] Step 131 , counting the third configuration values ​​of each design instance in the second instance group to obtain a third configuration segment, and removing extreme values ​​in the third configuration segment to obtain an optimized area segment.

[0153] Among them, the third configuration value is the configuration value of the construction area. The third configuration segment is a numerical segment composed of all third configuration values, and when counting the third configuration values, the configuration times of each third configuration value (that is, the number of design instances with the construction area of ​​the third configuration value) are counted together, and then the third configuration values ​​whose configuration times are less than a preset low-frequency threshold (which can be 1 or 2, not limited here) are removed from the third configuration segment, or the third configuration values ​​whose difference with the average value is greater than the preset extreme value threshold are removed to obtain the optimized area segment.

[0154] In addition, the optimized area segment can also be obtained according to the configuration probability of each third configuration value. The optimized area segment can also be obtained by removing extreme values. Moreover, the above method of obtaining the optimized area segment is only an example, and its specific implementation method is not limited.

[0155] Step 132, based on the bed size, obtain the area specification section corresponding to the bed size from the standard specification.

[0156] Step 133, calculating the area intersection segment of the area standard segment and the optimized area segment, and selecting a value from the area intersection segment as the pre-selected area.

[0157] Step 134, optimizing and adjusting the pre-selected area according to the target construction cost to obtain the construction area.

[0158] In the above step 132, the area specification section corresponding to the bed segment where the bed scale is located can be obtained from the standard specification. Taking Table 1 as an area constraint, the bed scale is 15 as an example. The bed scale is in the 1-20 bed segment, and its corresponding area specification section is 300m 2 / Courtyard~1100m 2 / hospital.

[0159] Furthermore, in step 133, the intersection of the area standard segment and the optimized area segment is used as the area intersection segment, and a value, the highest frequency value, the median value or the average value of the area intersection segment is randomly selected as the pre-selected area, which is not limited in this embodiment.

[0160] Among them, the highest frequency value is the third configuration value with the highest number of configurations in the optimized area segment. The calculation method of the median value is similar to the calculation method of the median value in step 113 above, and it is only necessary to replace the corresponding parameters with the values ​​of the area intersection segment, which will not be repeated here. Similarly, the calculation method of the average value is similar to the calculation method of the average value in step 113 above, and it is only necessary to replace the corresponding parameters with the values ​​of the area intersection segment, which will not be repeated here.

[0161] After determining the preselected area, the construction area can be obtained in step 134 in a variety of ways, which are not specifically limited in this embodiment. For example, the cost per unit area of ​​the area where the institution to be designed is located (i.e., the local unit price) can be obtained, and the influencing factors such as the local unit price, bed size, preselected area and target cost can be input into a preset area optimization model, and the optimal solution output by the area optimization model can be used as the construction area. Among them, the area optimization model can be a formula model obtained by fitting the area and related factors (such as local unit price, bed size, preselected area and target cost, etc.) of the historical design institution (i.e., the existing institution) using curve fitting, least squares method and other formula fitting methods.

[0162] Alternatively, after obtaining the local unit price, the product of the preselected area and the local unit price is used as the expected cost, and the expected cost and the target cost are sent to the client 110 for display, and the designer manually adjusts them to obtain the construction area.

[0163] In order to make the construction area more reasonable, the standard specifications include the guiding unit price area of ​​the same type and level institutions in the area where the design institution is located. Please refer to Figure 6 The process of obtaining the construction area in step 134 may include the following steps.

[0164] Step 1341 , counting the local unit price of each design instance in the second instance group to obtain a unit price segment, and filtering out extreme values ​​in the unit price segment to obtain a unit price optimization segment.

[0165] Among them, the unit price segment is a numerical segment composed of all local unit prices, and when counting the local unit prices, the number of occurrences of each local unit price is counted together, and then the local unit prices whose number of occurrences is less than a preset low-frequency threshold (which can be 1 or 2, not limited here) are removed from the unit price segment, or the local unit prices whose difference with the average value is greater than the preset extreme value threshold are removed to obtain the unit price optimization segment.

[0166] In addition, the unit price optimization section can be obtained according to the configuration probability of each local unit price. The unit price optimization section can also be obtained by removing extreme values. Moreover, the above method of obtaining the unit price optimization section is only an example, and its specific implementation method is not limited.

[0167] Step 1342, calculate the unit price intersection section of the guidance unit price section and the unit price optimization section, and select the comprehensive unit price from the unit price intersection section.

[0168] Step 1343, calculate the expected cost based on the comprehensive unit price and the pre-selected area, and determine whether the expected cost meets the target cost.

[0169] Among them, the target construction cost is actually the target investment amount.

[0170] Step 1344: if not, generate and display an adjustment warning page to prompt the user to adjust the pre-selected area, and obtain the adjusted area input by the user as the construction area.

[0171] Step 1345: If yes, the pre-selected area is used as the construction area.

[0172] Furthermore, in step 1342, a segment, a high frequency segment or a median segment of the unit price intersection segment can be randomly selected as the comprehensive unit price, or a value, a highest frequency value, a median value or an average value of the unit price intersection segment can be randomly selected as the comprehensive unit price, that is, the comprehensive unit price can be a range value or a single value, which is not limited in this embodiment.

[0173] Among them, when the comprehensive unit price is a value, the highest frequency value is the local unit price with the highest number of occurrences in the unit price intersection segment. The calculation method of the median value is similar to the calculation method of the median value in step 113 above. It only needs to replace the corresponding parameters with the values ​​of the unit price intersection segment, which will not be repeated here. Similarly, the calculation method of the average value is similar to the calculation method of the average value in step 113 above. It only needs to replace the corresponding parameters with the values ​​of the unit price intersection segment, which will not be repeated here.

[0174] When the comprehensive unit price is a range value, the high frequency segment is the range formed by the local unit prices in the unit price intersection segment whose number of occurrences is greater than the preset high frequency threshold. The median segment is the range of preset length with the median value as the middle value. For example, if the middle value is 1000 yuan / m 2 , then the median price can be 800 yuan / m 2 ~1200 yuan / m 2 .

[0175] It should be understood that when the comprehensive unit price is a range value, the expected unit price is also a range value, and the target cost is also a range value. At this time, in step 1343, when there is no intersection between the expected cost and the target cost, it can be determined that the expected cost does not meet the target cost.

[0176] In order to facilitate designers to view the relevant unit prices at a glance, the construction unit price (i.e., the construction installation unit price) corresponding to each comprehensive unit price can be pre-stored. After the comprehensive unit price is obtained in step 1342, the construction unit price corresponding to the comprehensive unit price can be obtained at the same time. Therefore, after determining in step 1343 that the expected cost does not meet the target cost, the construction fee (construction installation fee) is calculated based on the construction unit price corresponding to the comprehensive unit price and the construction area, and the construction fee ratio (i.e., the ratio of the construction fee to the expected cost) is calculated. Furthermore, in step 1344, the generated adjustment warning page may include the expected cost, construction area, bed size, construction unit price, construction fee, and construction fee ratio. The design device 120 sends the adjustment warning page information to the client 110, and the client 110 displays the adjustment warning page to prompt the designer to adjust the construction area.

[0177] In order to enable designers to intuitively obtain adjustment-related information, the client 110 can display the pre-selected area, bed size, construction unit price, construction fee, construction fee ratio and target cost in the form of a comparison table. Designers can weigh and adjust according to the comparison table, and can only adjust the pre-selected area or bed size. When only the pre-selected area is adjusted, the adjusted area can be used as the construction area, or step 1343 can be returned to execute until the expected cost meets the target cost. When the designer adjusts the bed size, the adjusted bed size is used as the bed size of the institution to be designed, and step 132 is returned to execute to re-weigh the pre-selected area.

[0178] Through the above steps 131 to 134 and their sub-steps, manual and automated adjustments are achieved to ultimately obtain a construction area that meets both the bed scale and the investment amount, making the construction area more reasonable.

[0179] After the construction area is determined in the above manner, the third instance group matching the construction area is selected in step 15. In addition, in order to make the department combination information obtained in step 15 more reasonable, the standard specification can also include the minimum department area corresponding to the type and level of the institution to be designed. On this basis, please refer to Figure 7 , step 15, the process of obtaining department combination information may include the following steps.

[0180] Step 150, retrieve a preset first conversion coefficient, calculate the product of the first conversion coefficient and the construction area, and obtain a first usable area.

[0181] For example, if the first conversion factor is 65% and the construction area is 100,000 m 2 , then the first usable area is 65000m 2 .

[0182] Step 151, counting the department configuration of each design instance in the third instance group, obtaining the configuration frequency of each department, and sorting the departments in descending order of configuration frequency to obtain a department queue.

[0183] It should be understood that institutions usually have multiple departments. For example, in medical institutions, they include emergency departments, outpatient departments (such as pediatric outpatient clinics, internal medicine outpatient clinics, surgical outpatient clinics, fever clinics, etc.), medical technology departments (such as pharmacy departments, radiology departments, functional examination departments, operating rooms, etc.), wards (such as pediatric wards, internal medicine wards, surgical wards, etc.) and logistics departments (such as administrative departments, general affairs departments, etc.); in architectural design institutes, they include planning and design departments, architectural design departments, landscape design departments, general engineering offices, technical service departments, production and operation centers, finance offices, and drawing and document rooms.

[0184] Step 152A: If the department requirement quantity input by the user does not exist, the first department in the department queue is used as the pre-selected department.

[0185] Step 153: Filter out design instances that are configured with both the locked departments and the pre-selected departments input by the user from the third instance group to obtain a first area group.

[0186] The design control parameter input by the designer may include the number of department requirements, or after completing step 13, the designer may input the number of department requirements to the design device 120 through the client 110 according to the department input prompt. The first area group includes multiple design instances configured with both locked departments and pre-selected departments input by the user.

[0187] Step 154 ​​, counting the first area configuration values ​​of each design instance in the first area group to obtain a first area segment, and selecting a value from the first area segment as the second usage area of ​​the pre-selected department.

[0188] Among them, the first area configuration value is the usage area value of the pre-selected department. The first area segment is a numerical segment composed of the usage area values ​​of the pre-selected departments, and when counting the first area configuration values, the configuration times of each first area configuration value (that is, the number of design instances in which the usage area of ​​the pre-selected department is the first area configuration value) are counted together. Then, the randomly selected value, the highest frequency value, the median value or the average value of the first area segment is used as the second usage area of ​​the pre-selected department. In addition, the method for obtaining the highest frequency value, the median value and the average value refers to the sub-steps of step 13 or step 11 above, which will not be repeated here.

[0189] Step 155, calculate the sum of the second usage area of ​​the pre-selected department and the second usage area of ​​the locked department input by the user to obtain the total usage area, and calculate the difference between the first usage area and the total usage area to obtain the first remaining area.

[0190] Step 156: If the first remaining area is smaller than the preset minimum department area, the first remaining area is evenly distributed to the pre-selected departments in proportion, and the current pre-selected departments and the locked department are used as the initial allocation departments.

[0191] Step 157: if the first remaining area is larger than the preset minimum department area, the department after the pre-selected department in the department queue is selected as the next pre-selected department. After step 157, the process returns to step 153.

[0192] Step 158: If the first remaining area is zero, the locked department and the current pre-selected departments are used as the initial allocation departments.

[0193] Step 159, optimize and adjust the initially assigned departments to obtain department combination information.

[0194] The process from step 152A to step 158 can be understood as follows: when obtaining the pre-selected department A, the first area group is the part that opens the locked department and the pre-selected department A at the same time. When obtaining the pre-selected department B ranked after the pre-selected department A, return to step 153, and at this time, the first area group in step 153 is updated to the part that opens the locked department, the pre-selected department A, and the pre-selected department B at the same time. And so on, until the first use area is used up or less than the minimum department area. Thus, multiple initially allocated departments and the second use area of ​​the initially allocated departments are obtained, that is, the initially allocated department composition and area allocation table.

[0195] After obtaining multiple initial departments and the second usage areas of the initial departments through steps 151 to 158, a variety of methods can be used to optimize and adjust in step 159. For example, a preset area optimization model can be used for optimization, or it can be optimized in combination with the designer's addition, deletion and other information, which is not limited in this embodiment.

[0196] In order to avoid the second usage area of ​​each department after optimization adjustment not always being equal to the first usage area, so as to make the department combination information more rigorous and reasonable, the concept of synchronous optimization of the department and the second usage area is introduced in the optimization adjustment in step 19. For example, please refer to Figure 8 , step 159 may include the following steps.

[0197] Step 1591, obtaining department optimization information input by the user, wherein the department optimization information includes one of adding a department and deleting a department.

[0198] Step 1592, when the department optimization information is for a newly added department, the second area configuration value of each design instance in the third instance group is counted to obtain the second area segment, and the median value of the second area segment is used as the second usage area of ​​the newly added department. In accordance with the ratio between the second usage area of ​​the newly added department and the first usage area, the second usage area of ​​each pre-selected department is reduced.

[0199] Among them, the second area configuration value is the usage area value of the newly added department. The second area segment is a numerical segment composed of the usage area values ​​of the newly added departments in each design example, and when counting the second area configuration values, the configuration times of each second area configuration value (that is, the number of design examples in which the usage area of ​​the newly added department is the second area configuration value) are counted together. Then, the randomly selected value, the highest frequency value, the median value or the average value of the second area segment is used as the second usage area of ​​the newly added department.

[0200] Step 1593, when the department optimization information is to delete the department, the second usable area of ​​the deleted department is evenly divided into the remaining initially allocated departments.

[0201] For example, the process of reducing the second use area of ​​each pre-selected department in step 1592 can be understood as that the ratio of the reduction of the second use area of ​​each pre-selected department is equal to the ratio between the second use area of ​​the newly added department and the first use area. For example, when the ratio is 5%, the second use area of ​​each pre-selected department is reduced by 5%. At the same time, when the area allocation of each department is adjusted, the distance ratio between the area of ​​each department and its ideal value under the current value principle is kept consistent. For example, when the ideal value of Department 1 is 100, the adjusted value of Department 1 is 99 or 101, and the adjustment ratio of Department 1 is 1 / 100, then the ideal value of Department 2 is 200, and it is adjusted at a ratio of 1 / 100, and the adjusted value of Department 2 is 198 or 202.

[0202] Similar to step 1592, in step 1593, the second usage area of ​​each of the remaining initially allocated departments may be increased by the same ratio according to the ratio of the second usage area to the first usage area of ​​the deleted department. The implementation method of step 1592 is not specifically limited.

[0203] In addition, please refer to Fig. 9 , step 152B may be included after step 151, and step 159 is executed after step 152B.

[0204] Step 152B, if there is a required number of departments input by the user, the departments in the department queue that are ranked before the target ranking and the locked departments input by the user are used as the initially allocated departments, and the first usable area is allocated to each initially allocated department, and the second usable area of ​​each initially allocated department is determined to obtain the department combination information.

[0205] In step 152B, the first usable area is allocated to each of the initially assigned departments, and the method of determining the second usable area of ​​each of the initially assigned departments can be flexibly set. For example, the first usable area can be equally allocated to each of the initially assigned departments.

[0206] It is also possible to count all the usage area values ​​of each initially matched department from the third instance group, remove the extreme values, calculate the average value of the remaining usage area values ​​of the initially matched department (see the method in step 11 for the calculation method), and use the average value as the reference mean of the initially matched department. Thus, the reference mean sum of each initially matched department is calculated, and the ratio between the reference mean of each initially matched department and the reference mean sum is calculated to obtain the area ratio of the initially matched department. Furthermore, the product of the area ratio of the initially matched department and the first usage area is used as the second usage area of ​​the initially matched department.

[0207] After obtaining the department combination information through the above steps 151 to 159, step 17 can use a variety of methods to obtain the business room information of each configured department. For example, it can be manually allocated, or it can be achieved by combining manual and automatic allocation, which is not limited in this embodiment.

[0208] In order to improve design efficiency and ensure the rationality of business room configuration, the standard specification can also include the necessary rooms for each department and the minimum number of each room, so that the necessary rooms and the minimum number of each room are used as constraints in step 17 to reasonably configure business rooms. For example, please refer to Fig.10 The process of obtaining the business room information of each configured department in step 17 may include the following steps.

[0209] Step 171, for each configured department, select a design instance matching the second usage area of ​​the configured department from the third instance group to obtain a department instance group, and calculate the room configuration information of the configured department from each design instance of the department instance group.

[0210] Among them, the room configuration information includes the various rooms configured by the department and the configuration frequency of each room.

[0211] Step 172, the necessary rooms for configuring the department in the standard specification, as well as the rooms whose configuration frequency meets the preset hit threshold, are used as the configured rooms for configuring the department.

[0212] It should be noted that the configuration frequency in step 172 may also be replaced by the configuration probability. The calculation method of the configuration probability can refer to the description of the configuration probability above, which will not be repeated here.

[0213] Step 173, for each configuration room, the minimum number of configuration rooms in the standard specification is used as the initial number, and the fourth configuration value of each design instance in the department instance group is counted to obtain the fourth configuration section, and a value is selected from the fourth configuration section as the initial area of ​​the configuration room.

[0214] Among them, the fourth configuration value is the use area of ​​the configuration room. The fourth configuration section is a numerical section composed of multiple fourth configuration values ​​(i.e., the use area value of the configuration room in each design example), and when counting the fourth configuration values, the configuration times of each fourth configuration value (i.e., the number of design examples in which the use area of ​​the configuration room is the fourth configuration value) are counted together. Then, the randomly selected value, the highest frequency value, the median value, or the average value of the fourth configuration section is used as the initial area of ​​the configuration room.

[0215] Step 174, combining the second usage area of ​​the configuration department and the initial number and initial area of ​​each configuration room of the configuration department, obtain the number and design area of ​​each configuration room.

[0216] In step 174, the second usage area of ​​the configured department, as well as the initial number and initial area of ​​each configured room can be sent to the client. After receiving it, the client generates and displays a room configuration page to prompt the designer to make manual adjustments. After obtaining the adjustment data entered by the user, the client transmits the adjustment data to the design device, and uses the adjustment data as the number and design area of ​​each configured room. It can also be adjusted automatically according to preset rules.

[0217] In order to further reduce the reliance on designers and improve efficiency, an automatic configuration adjustment method is introduced in step 174. For example, referring to Fig.11 , step 174 may include the following steps.

[0218] Step 1741, for each configured room, count the quantity configuration section of the configured rooms from the department instance group, select a value from the quantity configuration section as the quantity reference value of the configured rooms, and calculate the difference between the quantity reference value and the initial quantity of the configured rooms to obtain the quantity difference.

[0219] Step 1742, from all configured rooms of the configured department, select the configured room with the largest quantity difference as the target room.

[0220] Step 1743, add one to the quantity value of the target rooms to obtain the current quantity of the target rooms, and calculate the current total area of ​​the configured departments based on the current quantity and initial area of ​​each configured room of the configured departments.

[0221] It should be understood that the current total area of ​​the configured departments is equal to the sum of the products of the number and area of ​​each configured room.

[0222] Step 1744, calculate the difference between the second usable area of ​​the configured department and the current total area, obtain the second remaining area, and determine whether the second remaining area is less than the preset minimum room area.

[0223] Step 1745: if not, then update the quantity difference of the target room. After step 1746, return to step 1742.

[0224] Step 1746: If yes, the second remaining area is allocated to at least one configuration room to obtain the design area of ​​each configuration room.

[0225] It should be noted that the value accuracy of the configuration room can be set. For example, the value accuracy of the configuration room can be a multiple of 1 square meter or a multiple of 0.1 square meter.

[0226] Among them, the second remaining area can be evenly divided to each configuration room, or it can be evenly divided to some of the configuration rooms, and the configuration rooms after allocation can satisfy the ideal area difference ratio. The ideal area difference ratio = the difference between the current area and the initial area / initial area, which is not limited here.

[0227] Through the above 1741 to S1746, the number of rooms in the configured department meets the standard specifications, and also strictly follows the second use area of ​​the configured department, which greatly increases the rationality of the room configuration. At the same time, there is no need to rely on manual labor, which further improves efficiency and reduces design costs.

[0228] Thus, through the above steps 11 to 17 and related sub-steps, the construction area, department combination information and business room information of the organization to be designed are obtained. On this basis, in order to make the design parameters of the organization to be designed reasonable, that is, the ratio of the usable area to the building area is reasonable, the idea of ​​coordinating the first conversion coefficient of the organization to be designed and the second conversion coefficient of each configuration department is introduced in step 19. For example, please refer to Fig.12 , step 19 may include the following steps.

[0229] Step 191, for each configuration department, count the first configuration values ​​of each design instance in the third instance group to obtain the first configuration segment, use the first configuration segment after removing the extreme value as the converted reasonable segment, and use the median value of the first configuration segment as the pre-selected conversion value of the configuration department.

[0230] Among them, the first configuration value is the second conversion coefficient of the configuration department, and the second conversion coefficient is the ratio of the use area of ​​the configuration department to the construction area. The first configuration section is a numerical segment composed of multiple first configuration values ​​(i.e., the second conversion coefficient of the configuration department in each design instance), and when the first configuration value is counted, the configuration times of each first configuration value (i.e., the second conversion coefficient of the configuration department is the number of design instances of the first configuration value) are counted together. The calculation method of the median value refers to the calculation method of the median value in step 11, which will not be repeated here.

[0231] Step 192, calculate the pre-selected total area based on the pre-selected conversion value and the second usage area of ​​each configured department.

[0232] It should be understood that the ratio of the second usable area of ​​the configured department to the pre-selected conversion value is calculated to obtain the building area of ​​the configured department, and then the building areas of each configured department of the configured department are summed to obtain the pre-selected total area.

[0233] Right now:

[0234]

[0235] Among them, S taCharacterize the total preselected area, k 1n Characterizes the second conversion coefficient of the nth configured department, k 1n Represents the second usage area of ​​the nth configured department.

[0236] Step 193, when the pre-selected total area and the construction area are equal, the current bed scale, construction area, department combination information and business room information are used as design parameters of the institution to be designed.

[0237] Step 194, when the pre-selected total area and the construction area are not equal, determine whether each pre-selected conversion value is in the corresponding reasonable conversion range.

[0238] Among them, the corresponding reasonable conversion segment refers to the reasonable conversion segment of the configuration department of the pre-selected conversion value. The reasonable conversion segment of each configuration department can be a pre-selected value. It is also possible to extract a high-frequency segment or a median segment from the first configuration segment of each configuration department as the reasonable conversion segment of the configuration department for each configuration department. The high-frequency segment is a numerical segment composed of the local first configuration values ​​in the first configuration segment whose configuration times are greater than the preset high-frequency threshold, and the median segment is a numerical segment of a preset length with the median value of the first configuration segment as the midpoint. It should be noted that the pre-selected conversion value of the configuration department must be within the reasonable conversion segment.

[0239] Step 195: If yes, adjust the first conversion coefficient of the organization to be designed to obtain the next first conversion coefficient. After step 195, return to step 15, that is, redesign from the department configuration of the organization to be designed.

[0240] After adjusting to obtain the next first conversion coefficient, it can be expressed as:

[0241]

[0242] Among them, s is the sum of the second usage areas of each configured department, and k is the next first conversion coefficient.

[0243] Among them, after returning to step 15, the second use area of ​​each configured department can be adjusted directly according to the difference ratio between the new and old first conversion coefficients, that is, if the new first conversion coefficient is increased by 5% compared with the old first conversion coefficient, the second use area of ​​each configured department will be increased by 5%, and if it is reduced by 5%, the second use area of ​​each configured department will be reduced by 5%, and other data in the department combination information does not need to be adjusted. However, when the second use area of ​​the configured department is already the maximum value, minimum value or locked area value in the standard specification, it remains unchanged, and the second use area of ​​other configured departments is adjusted accordingly.

[0244] Step 196: If not, then adjust the pre-selected conversion value of each configured department in combination with each reasonable conversion segment. After step 196, return to step 192 for execution.

[0245] For step 195, a new first conversion coefficient can be set manually, or the first conversion coefficients of each design example in the third example group can be counted to obtain a conversion section consisting of multiple first conversion coefficients of each design example, and a randomly selected, median, average or high-frequency value of the conversion section is used as the next first conversion coefficient. This is not limited in this embodiment.

[0246] Similarly, in step 196, a new preselected conversion value may be manually set, or may be adjusted according to the preselected conversion values ​​of each design example in the third example group, which is not limited here.

[0247] In order to quickly and accurately adjust the preselected conversion value of each configured department, the concept of adjusting each preselected conversion value in multiple steps with the same proportional adjustment step length can be introduced in step 196. By way of example, step 196 can include the following adjustment methods.

[0248] (1) When the pre-selected total area is smaller than the construction area, the pre-selected conversion value of each configuration department shall be combined with the reasonable conversion segment corresponding to the configuration department to calculate the negative adjustment step of the pre-selected conversion value, and the difference between the pre-selected conversion value and the negative adjustment step shall be used as the next pre-selected conversion value of the configuration department.

[0249] Among them, the reasonable conversion segment corresponding to the configuration department has a minimum conversion value and a maximum conversion value, and the difference between the first pre-selected conversion value and the minimum conversion value of the configuration department is calculated, and the ratio of the difference to the first equal fraction is used as the negative adjustment step. The first equal fractions of all configuration departments are equal.

[0250] (2) When the pre-selected total area is larger than the construction area, the pre-selected conversion value of each configured department shall be calculated in combination with the reasonable conversion segment corresponding to the configured department, and the sum of the pre-selected conversion value and the positive adjustment step shall be used as the next pre-selected conversion value of the configured department.

[0251] The calculation method of the positive adjustment step is similar to that of the negative adjustment step. The difference between the maximum conversion value of the configured department and the first pre-selected conversion value is calculated, and the ratio of the difference to the second equal fraction is used as the positive adjustment step. The second equal fractions of all configured departments are equal.

[0252] Through the above method, the negative adjustment step lengths of each configuration department have the same proportion, the positive adjustment step lengths have the same proportion, and the pre-selected conversion value is always within the reasonable conversion range, so as to achieve accurate adjustment of the pre-selected conversion value. At the same time, since the first and second fractions are equal, each configuration department has the same number of adjustment steps, and synchronous and proportional adjustment is achieved, so that a reasonable pre-selected conversion value can be quickly obtained, reducing time consumption.

[0253] After executing the above steps 11 to 19 and the above sub-steps, and obtaining the design parameters of the organization to be designed (including the construction area and its first conversion coefficient, the configuration departments and their second conversion coefficients, the business rooms of the configuration departments and the number and usable area of ​​the business rooms, etc.), for each business room, a design example matching the usable area of ​​the business room can be selected from the specification and example library, and the size (such as length, width, height), traffic line requirements (including the location and size of doors and windows), and the equipment (such as washbasins, tables, chairs, beds, etc.) and quantity of the business room of the design example are counted, and the data with the largest number of configurations or configuration probabilities are selected as the internal configuration reference data of the business room. Then, the design parameters of the organization to be designed and the internal configuration reference data of each business room are displayed together for reference by the room.

[0254] Based on the same inventive concept as the above-mentioned design parameter acquisition method, the embodiment of the present invention further provides a design parameter acquisition device 30, which can be applied to Figure 1 Design device 120 in. Fig.13 The design parameter acquisition device 30 includes a bed design module 310 , an area design module 320 , a department design module 330 , a room design module 340 and a parameter optimization module 350 .

[0255] The bed design module 310 is used to screen out standard specifications and a first instance group that match the design control parameters of the institution to be designed from a preset specification and instance library, and obtain the bed scale of the institution to be designed based on the standard specifications and the bed number configuration of the first instance group.

[0256] The area design module 320 is used to select a second instance group matching the bed scale from the first instance group, and obtain the construction area of ​​the institution to be designed based on the area configuration and standard specifications of the second instance group.

[0257] The department design module 330 is used to select a third instance group matching the construction area from the second instance group, and obtain department combination information of the institution to be designed based on the department configuration, standard specifications and the first conversion coefficient of the third instance group. The first conversion coefficient is a preset ratio of the use area to the construction area of ​​the institution to be designed, and the department combination information includes multiple configured departments and the second use area of ​​each of the configured departments.

[0258] The room design module 340 is used to obtain the business room information of each configured department based on the business room configuration status and standard specifications of the third instance group.

[0259] The parameter optimization module 350 is used to modify the department combination information and business room information based on the construction area to obtain the design parameters of the organization to be designed.

[0260] Through the synergy of the bed design module 310, the area design module 320, the department design module 330, the room design module 340 and the parameter optimization module 350, a systematic and automated acquisition process of the design parameters of the institution to be designed is proposed, which realizes the standardized and rapid generation of the institution design parameters, greatly shortens the time consumption of the institution building design, and improves the design efficiency. At the same time, there is no need to rely on the experience level of the designer, which greatly reduces the cost of human participation.

[0261] For the specific implementation and effect of the design parameter acquisition device 30, please refer to the description of the implementation of the design parameter acquisition method in the above text, such as, for the specific implementation and effect of the bed design module 310, please refer to the description of step 11 and related sub-steps in the above text, for the specific implementation and effect of the area design module 320, please refer to the description of step 13 and related sub-steps in the above text, for the specific implementation and effect of the department design module 330, please refer to the description of step 15 and related sub-steps in the above text, for the specific implementation and effect of the room design module 340, please refer to the description of step 17 and related sub-steps in the above text, for the specific implementation and effect of the parameter optimization module 350, please refer to the description of step 19 and related sub-steps in the above text, and will not be repeated here.

[0262] An embodiment of the present invention also provides an electronic device 20, including a processor 220 and a memory 210, wherein the memory 210 stores machine executable instructions that can be executed by the processor 220, and the processor 220 can execute the machine executable instructions to implement the design parameter acquisition method proposed above.

[0263] The embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by the processor 220, the design parameter acquisition method proposed above is implemented.

[0264] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0265] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0266] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0267] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for obtaining design parameters, characterized in that: The method comprises: From the preset specification and instance library, a standard specification and a first instance group matching the design control parameters of the institution to be designed are screened out, and based on the configuration of the number of beds of the standard specification and the first instance group, the bed scale of the institution to be designed is obtained; Screening out a second instance group matching the bed scale from the first instance group, and obtaining the construction area of ​​the institution to be designed based on the area configuration of the second instance group and the standard specification; A third instance group matching the construction area is selected from the second instance group, and department combination information of the institution to be designed is obtained based on the department configuration of the third instance group, the standard specification and the first conversion coefficient; wherein the first conversion coefficient is a preset ratio of the use area to the construction area of ​​the institution to be designed, and the department combination information includes a plurality of configured departments and a second use area of ​​each of the configured departments; Based on the business room configuration of the third instance group and the standard specification, obtaining the business room information of each of the configured departments; Based on the construction area, the department combination information and the business room information are modified to obtain the design parameters of the organization to be designed; The standard specifications mentioned include minimum department area; The step of obtaining department combination information based on the department configuration of the third instance group, the standard specification and the first conversion coefficient includes: Retrieving a preset first conversion coefficient, calculating the product of the first conversion coefficient and the construction area, and obtaining a first usable area; Counting the department configuration of each design instance in the third instance group, obtaining the configuration frequency of each department, and sorting the departments in descending order of configuration frequency to obtain a department queue; If the required number of departments input by the user does not exist, the first department in the department queue is used as a pre-selected department, and design instances configured with both the locked department input by the user and the pre-selected department are screened out from the third instance group to obtain a first area group; Counting the first area configuration values ​​of each design example in the first area group to obtain a first area segment, and selecting a value from the first area segment as the second usage area of ​​the preselected department; wherein the first area configuration value is the usage area value of the preselected department; Calculate the sum of the second usage area of ​​the preselected department and the second usage area of ​​the locked department input by the user to obtain a total usage area, and calculate the difference between the first usage area and the total usage area to obtain a first remaining area; If the first remaining area is smaller than the preset minimum department area, the first remaining area is evenly distributed to the pre-selected departments in proportion, and the current pre-selected departments and the locked department are used as the initial allocation departments; If the first remaining area is greater than the preset minimum department area, the department in the department queue after the pre-selected department is used as the next pre-selected department, and the step of returning to the third instance group to filter out the design instances of the locked department configured with the user input and the pre-selected department at the same time to obtain the first area group; If the first remaining area is zero, the locked department and the current pre-selected departments are used as the initial allocation departments; The initially assigned departments are optimized and adjusted to obtain department combination information.

2. The design parameter acquisition method according to claim 1, characterized in that: The step of modifying the department combination information and the business room information based on the construction area to obtain the design parameters of the structure to be designed includes: For each of the configuration departments, the first configuration values ​​of each design instance in the third instance group are counted to obtain a first configuration section, the first configuration section after removing the extreme value is used as a reasonable conversion section, and the median value of the first configuration section is used as a pre-selected conversion value of the configuration department; wherein the first configuration value is a second conversion coefficient of the configuration department, and the second conversion coefficient is a ratio of the use area of ​​the configuration department to the construction area; Calculate the preselected total area according to the preselected conversion value of each of the configured departments and the second usable area; When the pre-selected total area is equal to the construction area, the current bed capacity, the construction area, the department combination information and the business room information are used as the design parameters of the institution to be designed; When the preselected total area and the construction area are not equal, determining whether each of the preselected conversion values ​​is in the corresponding reasonable conversion range; If yes, the first conversion coefficient of the organization to be designed is adjusted to obtain the next first conversion coefficient, and the step of returning to execute the step of obtaining the department combination information of the organization to be designed based on the department configuration of the third instance group, the standard specification and the first conversion coefficient; If not, the pre-selected conversion value of each configured department is adjusted in combination with each of the reasonable conversion segments, and the process returns to execute the step of calculating the pre-selected total area based on the pre-selected conversion value of each configured department and the second usage area.

3. The design parameter acquisition method according to claim 2, characterized in that: The step of adjusting the pre-selected conversion value of each configured department in combination with each of the reasonable conversion segments includes: When the pre-selected total area is smaller than the construction area, for each of the configured departments, the pre-selected conversion value is combined with the reasonable conversion segment corresponding to the configured department to calculate the negative adjustment step of the pre-selected conversion value, and the difference between the pre-selected conversion value and the negative adjustment step is used as the next pre-selected conversion value of the configured department; When the preselected total area is larger than the construction area, for each of the configured departments, the preselected conversion value is combined with the reasonable conversion segment corresponding to the configured department to calculate the positive adjustment step of the preselected conversion value, and the sum of the preselected conversion value and the positive adjustment step is used as the next preselected conversion value of the configured department.

4. The design parameter acquisition method according to claim 1, characterized in that: The design control parameters include the number of people served, and the standard specifications include the standard section of per capita beds, population growth rate and per capita bed growth rate; The step of obtaining the bed scale of the institution to be designed based on the standard specification and the configuration of the number of beds of the first instance group includes: Counting the second configuration value of each design instance in the first instance group to obtain a second configuration section, and determining a high-frequency section of beds from the second configuration section; wherein the second configuration value is a configuration value of the number of beds per capita; When the bed high frequency section is within the standard section, selecting a value from the bed high frequency section as a target value; When the bed high-frequency section is not located in the standard section, determining a hit section located in the standard section from the bed high-frequency section, and selecting a value from the hit section as a target value; The future population is calculated based on the service population and the population growth rate. The future number of beds per capita is calculated based on the target value and the per capita bed growth rate. The bed scale is calculated based on the future population and the future per capita bed number.

5. The design parameter acquisition method according to claim 1, characterized in that: The step of obtaining the construction area of ​​the structure to be designed based on the area configuration of the second instance group and the standard specification includes: Counting the third configuration values ​​of each design instance in the second instance group to obtain a third configuration segment, and removing the extreme value in the third configuration segment to obtain an optimized area segment; wherein the third configuration value is a configuration value of the construction area; According to the bed size, obtaining the area specification section corresponding to the bed size from the standard specification; Calculating an area intersection section of the area standard section and the optimized area section, and selecting a value from the area intersection section as a preselected area; According to the target construction cost, the pre-selected area is optimized and adjusted to obtain the construction area.

6. The design parameter acquisition method according to claim 5, characterized in that: The standard specifications include guide unit price zones; The step of optimizing and adjusting the pre-selected area according to the target construction cost to obtain the construction area includes: Counting the local unit price of each design instance in the second instance group to obtain a unit price segment, and filtering out extreme values ​​in the unit price segment to obtain a unit price optimization segment; Calculating a unit price intersection section of the guiding unit price section and the unit price optimization section, and selecting a comprehensive unit price from the unit price intersection section; Calculating an expected construction cost based on the comprehensive unit price and the pre-selected area, and determining whether the expected construction cost meets the target construction cost; If not, an adjustment warning page is generated and displayed to prompt the user to adjust the pre-selected area, and the adjusted area input by the user is obtained as the construction area; If so, the pre-selected area is used as the construction area.

7. The design parameter acquisition method according to claim 1, characterized in that: After the step of sorting the departments configured in each design instance in descending order of configuration frequency to obtain a department queue, and before the step of optimizing and adjusting the initially configured departments to obtain department combination information, the method further includes: If there is a required number of departments input by the user, the departments in the department queue that are ranked before the target ranking and the locked departments input by the user will be used as initially matched departments, and the first usage area will be allocated to each of the initially matched departments, and the second usage area of ​​each of the initially matched departments will be determined to obtain department combination information.

8. The design parameter acquisition method according to claim 1, characterized in that: The step of optimizing and adjusting the initially matched departments to obtain department combination information comprises: Obtaining department optimization information input by a user; wherein the department optimization information includes adding a new department and deleting a department; When the department optimization information is a newly added department, the second area configuration value of each design instance in the third instance group is counted to obtain a second area segment, the median value of the second area segment is used as the second use area of ​​the newly added department, and the second use area of ​​each initially allocated department is reduced according to the ratio between the second use area of ​​the newly added department and the first use area; wherein the second area configuration value is the use area value of the newly added department; When the department optimization information is to delete a department, the second usable area of ​​the deleted department is evenly divided into the remaining initially allocated departments.

9. The design parameter acquisition method according to claim 8, characterized in that: The standard specifications include the necessary rooms for each department and the minimum number of each type of room; The step of obtaining the business room information of each configured department based on the business room configuration status of the third instance group and the standard specification includes: For each of the configured departments, a design instance matching the second usage area of ​​the configured department is selected from the third instance group to obtain a department instance group, and room configuration information of the configured department is statistically obtained from each design instance of the department instance group; wherein the room configuration information includes multiple rooms configured in the configured department and the configuration frequency of each room; The necessary rooms for the configuration department described in the standard specification and the rooms whose configuration frequency meets the preset hit threshold are used as the configuration rooms for the configuration department; For each of the configuration rooms, the minimum number of configuration rooms in the standard specification is used as the initial number, and the fourth configuration value of each design instance in the department instance group is counted to obtain a fourth configuration section, and a value is selected from the fourth configuration section as the initial area of ​​the configuration room; wherein the fourth configuration value is the use area of ​​the configuration room; Combined with the second usable area of ​​the configured department, and the initial number and initial area of ​​each configured room of the configured department, the number and design area of ​​each configured room are obtained.

10. The design parameter acquisition method according to claim 9, characterized in that: The step of obtaining the number and design area of ​​each configuration room in combination with the second usage area of ​​the configuration department and the initial number and initial area of ​​each configuration room of the configuration department comprises: For each of the configured rooms, the quantity configuration section of the configured rooms is counted from the department instance group, a value is selected from the quantity configuration section as the quantity reference value of the configured rooms, and the difference between the quantity reference value and the initial quantity of the configured rooms is calculated to obtain the quantity difference; From all the configured rooms of the configured department, select the configured room with the largest quantity difference as the target room; Add one to the quantity value of the target rooms to obtain the current quantity of the target rooms, and calculate the current total area of ​​the configured departments according to the current quantity and initial area of ​​each configured room of the configured departments; Calculate the difference between the second usable area of ​​the configured department and the current total area to obtain a second remaining area, and determine whether the second remaining area is less than a preset minimum room area; If yes, the second remaining area is allocated to at least one of the configuration rooms to obtain the design area of ​​each of the configuration rooms; If not, update the quantity difference of the target room, and return to the step of selecting the configuration room with the largest quantity difference as the target room from all the configuration rooms of the configuration department, until the second remaining area is less than the preset minimum room area.

11. A design parameter acquisition device, characterized in that: Including bed design module, area design module, department design module, room design module and parameter optimization module; The bed design module is used to screen out standard specifications and a first instance group that match the design control parameters of the institution to be designed from a preset specification and instance library, and obtain the bed scale of the institution to be designed based on the standard specifications and the configuration of the number of beds of the first instance group; The area design module is used to select a second instance group matching the bed scale from the first instance group, and obtain the construction area of ​​the institution to be designed based on the area configuration of the second instance group and the standard specification; The department design module is used to filter out a third instance group that matches the construction area from the second instance group, and obtain department combination information of the institution to be designed based on the department configuration of the third instance group, the standard specification and the first conversion coefficient; wherein the first conversion coefficient is a preset ratio of the use area to the construction area of ​​the institution to be designed, and the department combination information includes a plurality of configured departments and a second use area of ​​each of the configured departments; The room design module is used to obtain the business room information of each configured department based on the business room configuration of the third instance group and the standard specification; The parameter optimization module is used to modify the department combination information and the business room information based on the construction area to obtain the design parameters of the organization to be designed; The standard specifications mentioned include minimum department area; The department design module is also used for: Retrieving a preset first conversion coefficient, calculating the product of the first conversion coefficient and the construction area, and obtaining a first usable area; Counting the department configuration of each design instance in the third instance group, obtaining the configuration frequency of each department, and sorting the departments in descending order of configuration frequency to obtain a department queue; If the required number of departments input by the user does not exist, the first department in the department queue is used as a pre-selected department, and design instances configured with both the locked department input by the user and the pre-selected department are screened out from the third instance group to obtain a first area group; Counting the first area configuration values ​​of each design example in the first area group to obtain a first area segment, and selecting a value from the first area segment as the second usage area of ​​the preselected department; wherein the first area configuration value is the usage area value of the preselected department; Calculate the sum of the second usage area of ​​the preselected department and the second usage area of ​​the locked department input by the user to obtain a total usage area, and calculate the difference between the first usage area and the total usage area to obtain a first remaining area; If the first remaining area is smaller than the preset minimum department area, the first remaining area is evenly distributed to the pre-selected departments in proportion, and the current pre-selected departments and the locked department are used as the initial allocation departments; If the first remaining area is greater than the preset minimum department area, the department in the department queue after the pre-selected department is used as the next pre-selected department, and the step of returning to the third instance group to filter out the design instances of the locked department configured with the user input and the pre-selected department at the same time to obtain the first area group; If the first remaining area is zero, the locked department and the current pre-selected departments are used as the initial allocation departments; Optimize and adjust the initially assigned departments to obtain department combination information 12. An electronic device, characterized in that: The invention comprises a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor can execute the machine executable instructions to implement the design parameter acquisition method according to any one of claims 1 to 10.

13. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the design parameter acquisition method according to any one of claims 1 to 10 is implemented.

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