Rural building design method matched with user requirements

Abstract

The invention relates to the technical field of rural building design, and particularly discloses a rural building design method matched with user demands, and the method comprises the steps: analyzing user behavior pattern features, determining a rural building design layout scheme, and combining with rural building design scale features obtained based on user population living feature data, the method comprises the steps of determining an initial construction scheme of a rural building, analyzing historical living environment characteristics of a user, determining a design structure emphasized type of the rural building, analyzing historical living house characteristics of the user, and determining an appearance image optimization scheme of the rural building. Transmitting the rural building initial construction scheme, the rural building design structure emphasis type and the rural building appearance image optimization scheme to a visual platform, and judging whether the visual platform receives successfully or not. Therefore, the building design is more systematic and comprehensive.

Description

Technical Field

[0001] The invention relates to the technical field of rural building design, and in particular to a rural building design method that matches user needs. Background Art

[0002] With the continuous development of the rural economy, farmers' incomes are increasing, and their requirements for living conditions are also increasing. In the past, rural buildings were mainly used to meet basic living functions. Now people are beginning to pursue more comfortable, beautiful and fully functional housing. The population structure, living habits, economic level, etc. of different rural families are different, resulting in diversified user needs. The rapid development of construction technology has provided more possibilities for rural building design. New building structure technologies, such as light steel structures and new wood structures, have many advantages such as fast construction speed, good seismic performance, and flexible space layout. The application of these technologies in rural buildings can better meet user needs. Help relevant responsible personnel and farmers to make reasonable improvements to the problems in functional space, comfort, style, etc. in existing farmhouses, and strive to obtain the best possible improvement effect with the smallest possible investment, so as to truly improve the quality of farmers' living environment.

[0003] Nowadays, there are still some deficiencies in the research on rural building design methods that match user needs. Specifically, traditional rural buildings are mostly built by villagers themselves, lacking unified planning and design, resulting in chaotic village layout, disordered house arrangement, and serious waste of land resources. In the traditional planning process, the local natural environment, user needs and other factors are often not fully considered. The functional layout of traditional rural buildings is relatively single and lacks adaptability, which cannot well meet the diverse living needs of modern rural residents. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a rural building design method that matches user needs and can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a rural building design method that matches user needs, comprising the following steps: obtaining user population residential characteristic data, and matching rural building design scale characteristics based on the obtained user population residential characteristic data; analyzing user behavior pattern characteristics to determine the rural building design layout plan, and combining the rural building design scale characteristics to obtain the rural building initial construction plan; analyzing the user's historical living environment characteristics to determine the rural building design structure focus type; analyzing the user's historical residential house characteristics to determine the rural building appearance optimization plan; transmitting the rural building initial construction plan, rural building design structure focus type and rural building appearance optimization plan to a visualization platform, analyzing the transmission process of the rural building initial construction plan, rural building design structure focus type and rural building appearance optimization plan, and judging whether the visualization platform has received it successfully.

[0006] As a further method, based on the acquired residential characteristic data of user population, the design scale characteristics of rural buildings are matched, and the specific analysis process is as follows: the residential characteristic data of user population is acquired, and the residential characteristic data of user population specifically includes the total number of user family members, the total number of permanent residents of user family members, and the average residence frequency of temporary residents of user family members; based on the acquired residential characteristic data of user population, a comprehensive analysis is performed to obtain the residential characteristic factor of user population, and the residential characteristic factor of user population is used as the analysis basis for matching the design scale characteristics of rural buildings; the residential characteristic factor of user population is compared with the residential characteristic threshold of user population stored in the database; if the residential characteristic factor of user population is not lower than the residential characteristic threshold of user population, the design scale characteristics of rural buildings corresponding to the residential characteristic factor of user population are large-scale; if the residential characteristic factor of user population is lower than the residential characteristic threshold of user population, the design scale characteristics of rural buildings corresponding to the residential characteristic factor of user population are small-scale.

[0007] As a further method, the user behavior pattern characteristics are analyzed to determine the rural building design layout plan, and the specific analysis process is: obtain user behavior pattern characteristic data, the user behavior pattern characteristic data specifically includes the average sleep duration of the user's family, the user's family cooking frequency, and the user's family crop breeding area; obtain each user behavior pattern characteristic parameter data stored in the database, the user behavior pattern characteristic parameter data specifically includes the user's family parameterized sleep duration, the user's family parameterized cooking frequency, and the user's family parameterized crop breeding area; based on the user behavior pattern characteristic data and each user behavior pattern characteristic parameter data, a comprehensive analysis is performed to obtain each user behavior pattern characteristic factor, and the user behavior pattern characteristic factor is used as the analysis basis for determining the rural building design layout plan; based on the minimum user behavior pattern characteristic factor, the corresponding user behavior pattern characteristic parameter data is determined, and the rural building design layout plan corresponding to the user behavior pattern characteristic parameter data stored in the database is obtained.

[0008] As a further method, the user behavior pattern characteristic factor, the specific analysis process is:

[0009]

[0010] Wherein, α is the characteristic factor of user behavior pattern, sm is the average sleep duration of user family, pr is the cooking frequency of user family, yz is the crop breeding area of ​​user family, sm1 is the parameterized sleep duration of user family, pr1 is the parameterized cooking frequency of user family, yz1 is the parameterized breeding area of ​​user family, ε1 is the compensation factor of sm, ε2 is the compensation factor of pr, ε3 is the compensation factor of yz, and e is a natural constant.

[0011] As a further method, the initial construction plan of rural buildings is obtained in combination with the design scale characteristics of rural buildings. The specific analysis process is: the design scale characteristics of rural buildings and the design layout plan of rural buildings are stored as designated tags, and the designated tags are compared with the set tags stored in the database to obtain the set tags corresponding to the designated tags, and the initial construction plan of rural buildings corresponding to the set tags stored in the database is obtained.

[0012] As a further method, the user's historical living environment characteristics are analyzed to determine the type of rural building design structure emphasis. The specific analysis process is: obtain the user's historical living environment characteristic data, the user's historical living environment characteristic data specifically includes the user's historical living environment The maximum precipitation, the user's historical living environment average temperature, the user's historical living environment average humidity, and the distance between the user's historical living environment and the earthquake-prone zone; obtain the historical living environment characteristic parameter data of each user stored in the database, the user's historical living environment characteristic parameter data specifically includes the user's historical living environment parameterized precipitation, the user's historical living environment parameterized temperature, the user's historical living environment parameterized humidity, and the user's historical living environment. The distance between the user's historical living environment and the earthquake-prone zone is determined; based on the acquired user's historical living environment characteristic data and each user's historical living environment characteristic parameter data, a comprehensive analysis is performed to obtain each user's historical living environment characteristic factor, and the user's historical living environment characteristic factor is used as an analysis basis for determining the type of rural building design structure emphasis; based on the minimum user's historical living environment characteristic factor, the corresponding user's historical living environment characteristic parameter data is determined, and the rural building design structure emphasis type corresponding to the user's historical living environment characteristic parameter data stored in the database is obtained.

[0013] As a further method, the user's historical residential environment characteristic factor, the specific analysis process is as follows:

[0014]

[0015] Wherein, β is the characteristic factor of the user's historical living environment, js is the maximum precipitation of the user's historical living environment, wd is the average temperature of the user's historical living environment, sd is the average humidity of the user's historical living environment, jl is the distance between the user's historical living environment and the earthquake-active zone, js1 is the reference precipitation of the user's historical living environment, wd1 is the reference temperature of the user's historical living environment, sd1 is the reference humidity of the user's historical living environment, jl1 is the reference distance between the user's historical living environment and the earthquake-active zone, σ1 is the compensation factor of js, σ2 is the compensation factor of wd, σ3 is the compensation factor of sd, and σ4 is the compensation factor of jl.

[0016] As a further method, the characteristics of the user's historical residential houses are analyzed to determine the optimization plan for the appearance of rural buildings. The specific analysis process is: obtaining the characteristic data of the user's historical residential houses, the characteristic data of the user's historical residential houses specifically include the integrity ratio of the user's historical residential houses' exterior walls, the slope of the user's historical residential houses' roofs, and the ratio of the total area of ​​doors and windows to the exterior walls of the user's historical residential houses; obtaining the characteristic parameter data of each user's historical residential house stored in the database, the characteristic parameter data of the user's historical residential houses specifically include the parameterized ratio of the integrity ratio of the user's historical residential houses' exterior walls, the parameterized slope of the user's historical residential houses' roofs, and the parameterized ratio of the total area of ​​doors and windows to the exterior walls of the user's historical residential houses; based on the characteristic data of the user's historical residential houses and the characteristic parameter data of each user's historical residential houses, a comprehensive analysis is performed to obtain the characteristic factors of each user's historical residential houses, and the characteristic factors of the user's historical residential houses are used as the analysis basis for determining the optimization plan for the appearance of rural buildings; based on the minimum characteristic factor of the user's historical residential house, the corresponding characteristic parameter data of the user's historical residential house is determined, and the optimization plan for the appearance of rural buildings corresponding to the characteristic parameter data of the user's historical residential house stored in the database is obtained.

[0017] As a further method, the user's historical residential housing characteristic factors, the specific analysis process is:

[0018]

[0019] Wherein, γ is the characteristic factor of the user's historical residential house, wzd is the proportion of the integrity of the exterior wall of the user's historical residential house, pd is the roof slope of the user's historical residential house, mcb is the ratio of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, wzd1 is the parameterized proportion of the integrity of the exterior wall of the user's historical residential house, pd1 is the parameterized slope of the roof of the user's historical residential house, mcb1 is the parameterized proportion of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, τ1 is the compensation factor of the set wzd, τ2 is the compensation factor of the set pd, τ3 is the compensation factor of the set mcb, and e is a natural constant.

[0020] As a further method, it is determined whether the visualization platform has been received successfully. The specific analysis process is: obtaining transmission process data, which specifically includes transmission delay, transmission packet loss rate, and transmission signal strength; based on the obtained transmission process data, a comprehensive analysis is performed to obtain a transmission process analysis signal, and the transmission process analysis signal is used as an analysis basis for determining whether the visualization platform has been received successfully; the transmission process analysis signal is compared with the transmission process analysis threshold stored in the database; if the transmission process analysis signal is not lower than the transmission process analysis threshold, the visualization platform has been received successfully; if the transmission process analysis signal is lower than the transmission process analysis threshold, the visualization platform has not been received successfully, and the initial construction plan of the rural building, the focus type of the rural building design structure, and the rural building appearance optimization plan need to be re-transmitted to the visualization platform.

[0021] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0022] (1) The present invention provides a rural building design method that matches user needs. By obtaining user population residential characteristic data to match the building design scale, it can ensure that the scale of the building is closely aligned with the actual population living situation of the user's family. In addition, analyzing user behavior pattern characteristics helps to determine a reasonable building layout. The analysis of the user's historical living environment characteristics and house characteristics makes the building design more in line with the needs in terms of structure and appearance.

[0023] (2) The present invention can ensure that engineers can obtain design scheme information in a timely and accurate manner by analyzing the transmission process and judging whether the visualization platform has received the information successfully, thus avoiding the communication efficiency and design progress affected by transmission failure. The method integrates the design contents of multiple dimensions such as scale, layout, structure and appearance, avoiding the one-sidedness in the design process. Each link is interrelated and influences each other, making the architectural design more systematic and comprehensive.

[0024] (3) The present invention determines the rural building design layout plan by analyzing the characteristics of user behavior patterns, and obtains the initial construction plan of rural buildings by combining the design scale characteristics of rural buildings. By analyzing user behavior patterns, such as daily routines and cooking habits, the internal space layout of the building can be reasonably planned. Considering the user's behavior pattern can make the building space better adapted to different life scenes. Combining the building layout plan with the design scale characteristics can ensure that the size and number of each room can be reasonably utilized. This combination can ensure the integrity of the overall function of the building and help to better match user needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0026] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0027] Figure 2 Flowchart of steps for determining the layout plan of rural building design. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] Reference Figure 1 As shown, the present invention provides a rural building design method that matches user needs, including: obtaining user population residential characteristic data, and matching rural building design scale characteristics based on the obtained user population residential characteristic data.

[0030] The specific analysis process is as follows: obtaining the residential characteristic data of the user population, which specifically includes the total number of user family members, the total number of permanent residents in the user family, and the average residential frequency of temporary residents in the user family; based on the obtained residential characteristic data of the user population, a comprehensive analysis is performed to obtain the residential characteristic factor of the user population, and the residential characteristic factor of the user population is used as the analysis basis for matching the design scale characteristics of rural buildings; comparing the residential characteristic factor of the user population with the residential characteristic threshold of the user population stored in the database; if the residential characteristic factor of the user population is not lower than the residential characteristic threshold of the user population, then the rural building design scale characteristics corresponding to the residential characteristic factor of the user population are large-scale; if the residential characteristic factor of the user population is lower than the residential characteristic threshold of the user population, then the rural building design scale characteristics corresponding to the residential characteristic factor of the user population are small-scale.

[0031] The total number of people in a user's household refers to the total number of all members of the user's household, including those who live there long-term and occasionally. The total number of permanent residents in a user's household refers to the number of people who live in the household for a long time and stably. These people usually use the residence as their main place of living and can be considered permanent residents if they live there for more than half of the time in a year, excluding short-term visitors or those who only stay there for a few days occasionally. The total number of permanent residents is an important indicator for measuring the daily housing needs of a family. The average residence frequency of temporary residents in a user's household refers to the average number of times or frequency that temporary residents (non-permanent residents) live in the household within a certain period of time (such as one year).

[0032] By comprehensively analyzing the user population residential characteristic data to obtain characteristic factors and comparing them with the threshold to determine the scale of building design, the actual needs of users can be accurately met. For situations where the family population is large and the frequency of temporary residents is high, it is determined to be a large-scale building design, which can ensure that there are enough rooms and spaces to accommodate all residents and avoid space crowding. On the contrary, for situations where the population is small and the frequency of temporary residents is low, a small-scale design is adopted to prevent the waste of land, materials and other resources caused by excessively large buildings. The building scale is determined according to the actual population living situation of the user's family, providing users with a personalized design experience. Determining the building scale based on the user's population residential characteristic factors provides a clear decision-making standard, avoids design repetitions caused by the lack of clear standards, and improves design efficiency.

[0033] User population residential characteristic factors, the specific analysis process is as follows:

[0034]

[0035] Wherein, ω is the residential characteristic factor of the user population, rk is the total population of the user's family, czr is the total permanent population of the user's family, zzp is the average residential frequency of the temporary population of the user's family, θ1 is the compensation factor of the set rk, θ2 is the compensation factor of the set czr, and θ3 is the compensation factor of the set zzp.

[0036] It should be explained that the above user population residential characteristic factors are calculated through the total number of user family population, the total number of permanent residents in the user family, and the average residential frequency of temporary residents in the user family. Rk, Czr, and ZZP are normalized, and the total number of user family population, the total number of permanent residents, and the average residential frequency of temporary residents are comprehensively calculated to obtain the characteristic factors, which can comprehensively consider all key aspects of the family's residential population. The total number of family population gives the upper limit of the overall residential scale, the total number of permanent residents reflects the basic demand scale for daily residence, and the average residential frequency of temporary residents reflects the cyclical demand for additional living space. It avoids the misjudgment of the building design scale caused by considering only a single population factor, thereby more accurately assessing the actual scale of family residential demand.

[0037] It needs to be explained that the compensation factors of RK, CZR and ZZP set above are obtained from the database. According to the historical data, a mapping set of the historically measured total population of user households, the total permanent population of user households, the average residence frequency of temporary residents in user households and the compensation factors of RK, CZR and ZZP is established to obtain the compensation factors of RK, CZR and ZZP corresponding to the current RK, CZR and ZZP.

[0038] It should be noted that ε1, ε2, ε3, σ1, σ2, σ3, τ1, τ2, τ3, μ1, μ2, and μ3 mentioned below are also obtained through a mapping set of historical data and compensation factors established in a database, that is, the corresponding compensation factors are obtained according to the current data.

[0039] The user behavior pattern characteristics are analyzed to determine the rural building design layout plan, and the initial construction plan of rural buildings is obtained based on the rural building design scale characteristics.

[0040] like Figure 2 As shown, the specific analysis process is: obtaining user behavior pattern characteristic data, the user behavior pattern characteristic data specifically includes the average sleep duration of the user's family, the cooking frequency of the user's family, and the crop breeding area of ​​the user's family; obtaining each user behavior pattern characteristic parameter data stored in the database, the user behavior pattern characteristic parameter data specifically includes the user's family parameterized sleep duration, the user's family parameterized cooking frequency, and the user's family parameterized crop breeding area; based on the user behavior pattern characteristic data and each user behavior pattern characteristic parameter data, a comprehensive analysis is performed to obtain each user behavior pattern characteristic factor, and the user behavior pattern characteristic factor is used as an analysis basis for determining the rural building design layout plan; based on the minimum user behavior pattern characteristic factor, the corresponding user behavior pattern characteristic parameter data is determined, and the rural building design layout plan corresponding to the user behavior pattern characteristic parameter data stored in the database is obtained.

[0041] The average sleep duration of a user's family refers to the average sleep duration of all family members over a period of time (usually one day or one week, etc.). The cooking frequency of a user's family refers to the number of times the family cooks within a certain period of time (such as one week or one day). The crop breeding area of ​​a user's family refers to the total land area used by the user's family to grow crops (including grain crops, vegetables, fruits, etc.).

[0042] By comparing the user's actual behavior pattern characteristic data (such as sleep duration, cooking frequency, crop farming area) with the parameter data, the characteristic factors obtained can accurately reflect the user's habits and needs in all aspects of life. Considering the user's family crop farming area, for families with a large farming area, appropriate space can be reserved in the building layout for storing farm tools and agricultural product processing equipment, or convenient access to farmland can be set up.

[0043] Determining the building layout plan based on the user behavior pattern characteristic factors helps to reasonably allocate the space resources in the building. By determining the minimum user behavior pattern characteristic factors and their corresponding parameter data to obtain the building layout plan, it can ensure that the design of each functional space is based on the most critical needs of the user.

[0044] In this implementation scheme, all calculation formulas perform normalization processing on corresponding data before calculation.

[0045] User behavior pattern characteristic factors, the specific analysis process is as follows:

[0046]

[0047] Wherein, α is the characteristic factor of user behavior pattern, sm is the average sleep duration of user family, pr is the cooking frequency of user family, yz is the crop breeding area of ​​user family, sm1 is the parameterized sleep duration of user family, pr1 is the parameterized cooking frequency of user family, yz1 is the parameterized breeding area of ​​user family, ε1 is the compensation factor of sm, ε2 is the compensation factor of pr, ε3 is the compensation factor of yz, and e is a natural constant.

[0048] The user behavior pattern characteristic factor is calculated through the average sleep duration of the user's family, the cooking frequency of the user's family, and the crop breeding area of ​​the user's family. By calculating the characteristic factor by combining the average sleep duration, cooking frequency and crop breeding area of ​​the user's family, it is possible to comprehensively consider the various key behavior patterns of rural families in their daily lives. Sleep duration reflects the family's demand for resting spaces such as bedrooms, cooking frequency reflects the requirements for kitchen functions and ease of use, and crop breeding area is related to the space and facility requirements related to agricultural production. This comprehensive approach avoids designing the building layout from the perspective of only a single behavior pattern, thereby more accurately grasping the family's overall life behavior needs.

[0049] The rural building design scale characteristics and the rural building design layout plan are stored as designated tags, the designated tags are compared with the set tags stored in the database, the set tags corresponding to the designated tags are obtained, and the rural building initial construction plan corresponding to the set tags stored in the database is obtained.

[0050] The set tags and corresponding initial construction plans for rural buildings stored in the database are generated based on past experience, standard specifications or successful cases. By comparing the specified tags (including the building design scale characteristics and layout plans) with these set tags, the matching initial construction plan can be quickly found. The stored plans are formed after comprehensive consideration of various factors, such as building structural safety, functional rationality, space utilization efficiency, etc.

[0051] Although the scheme is obtained by comparing tags, since the specified tags are generated according to the specific needs of the user (such as building scale and layout plan), it can meet the personalized needs of the user on the basis of standardization. The set tags and construction plans in the database are rich enough to find the plan that is closest to the user's needs and improve the accuracy of the plan.

[0052] Analyze the characteristics of the user's historical living environment and determine the type of rural building design structure focus.

[0053] The specific analysis process is: obtaining the user's historical living environment characteristic data, which specifically includes the user's historical living environment maximum precipitation, the user's historical living environment average temperature, the user's historical living environment average humidity, and the distance between the user's historical living environment and an earthquake-prone zone; obtaining each user's historical living environment characteristic parameter data stored in the database, which specifically includes the user's historical living environment parameterized precipitation, the user's historical living environment parameterized temperature, the user's historical living environment parameterized humidity, and the distance between the user's historical living environment and an earthquake-prone zone.

[0054] Based on the acquired user historical living environment characteristic data and each user's historical living environment characteristic parameter data, a comprehensive analysis is performed to obtain each user's historical living environment characteristic factor, and the user's historical living environment characteristic factor is used as an analysis basis for determining the type of rural building design structure emphasis; based on the minimum user's historical living environment characteristic factor, the corresponding user's historical living environment characteristic parameter data is determined, and the rural building design structure emphasis type corresponding to the user's historical living environment characteristic parameter data stored in the database is obtained.

[0055] By analyzing the precipitation, temperature, humidity and other data of the user's historical living environment and comparing them with the reference data to obtain characteristic factors, the building structure focus type can be determined according to the actual local climate conditions. In areas with high precipitation, the building structure can focus on waterproof and drainage design, such as using a sloping roof to facilitate the rapid drainage of rainwater and strengthening the waterproof treatment of the exterior wall; in areas with lower temperatures, the building structure can focus on insulation design, such as increasing the wall thickness and using high-efficiency insulation materials.

[0056] This type of structural emphasis determined by climate factors can make buildings better adapt to different climate environments and improve living comfort. Considering the distance between the user's historical living environment and the earthquake-prone zone, for areas close to the earthquake-prone zone, the building structure can focus on earthquake-resistant design, such as using a frame structure with good earthquake-resistant performance and strengthening the connection between the building foundation and the main structure. This can effectively reduce the risk of earthquake damage to buildings.

[0057] The user's historical residential environment characteristic factors, the specific analysis process is as follows:

[0058]

[0059] Wherein, β is the characteristic factor of the user's historical living environment, js is the maximum precipitation of the user's historical living environment, wd is the average temperature of the user's historical living environment, sd is the average humidity of the user's historical living environment, jl is the distance between the user's historical living environment and the earthquake-active zone, js1 is the reference precipitation of the user's historical living environment, wd1 is the reference temperature of the user's historical living environment, sd1 is the reference humidity of the user's historical living environment, jl1 is the reference distance between the user's historical living environment and the earthquake-active zone, σ1 is the compensation factor of js, σ2 is the compensation factor of wd, σ3 is the compensation factor of sd, and σ4 is the compensation factor of jl.

[0060] The user's historical living environment characteristic factor is obtained by comprehensively calculating the user's historical living environment's maximum precipitation, average temperature, average humidity and distance from the earthquake-active zone. It can comprehensively consider various natural environmental conditions that have an important impact on the building, thereby more accurately evaluating the comprehensive effect of the environment on the building.

[0061] Analyze the characteristics of users’ historical residential houses and determine the optimization plan for the appearance of rural buildings.

[0062] The specific analysis process is: obtaining the user's historical residential house characteristic data, which specifically includes the user's historical residential house exterior wall integrity ratio, the user's historical residential house roof slope, and the user's historical residential house total door and window area to exterior wall ratio; obtaining each user's historical residential house characteristic parameter data stored in the database, which specifically includes the user's historical residential house exterior wall integrity parameter ratio, the user's historical residential house roof parameter slope, and the user's historical residential house total door and window area to exterior wall parameter ratio.

[0063] Based on the user's historical residential house feature data and each user's historical residential house feature parameter data, a comprehensive analysis is performed to obtain each user's historical residential house feature factor, and the user's historical residential house feature factor is used as the analysis basis for determining the rural building appearance optimization plan; based on the minimum user's historical residential house feature factor, the corresponding user's historical residential house feature parameter data is determined, and the rural building appearance optimization plan corresponding to the user's historical residential house feature parameter data stored in the database is obtained.

[0064] The ratio of the integrity of the exterior wall of the house where the user lived in the past refers to the percentage of the area of ​​the intact part of the exterior wall of the house where the user lived in the past to the total area of ​​the exterior wall. The roof slope of the house where the user lived in the past refers to the angle between the roof slope and the horizontal plane, usually expressed in degrees. The ratio of the total area of ​​doors and windows to the exterior wall of the house where the user lived in the past refers to the ratio of the sum of the areas of all door and window openings in the house where the user lived in the past to the total area of ​​the exterior wall.

[0065] By comparing the actual characteristic data of the user's historical residential houses (such as the proportion of the integrity of the exterior wall, the roof slope, and the ratio of doors and windows to the exterior wall) with the parameter data, the characteristic factors obtained can accurately identify the weak links in the exterior appearance of the house and determine the parts that need to be optimized. Determining the optimization focus with the smallest characteristic factor of the user's historical residential house can avoid making the same degree of transformation in all aspects in the exterior design, thereby preventing over-design and material waste. Using the characteristic factors of the user's historical residential house as the analysis basis provides a clear decision-making standard for exterior design and clarifies the key direction of exterior image optimization.

[0066] The characteristic factors of the user's historical residence, the specific analysis process is as follows:

[0067]

[0068] Wherein, γ is the characteristic factor of the user's historical residential house, wzd is the proportion of the integrity of the exterior wall of the user's historical residential house, pd is the roof slope of the user's historical residential house, mcb is the ratio of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, wzd1 is the parameterized proportion of the integrity of the exterior wall of the user's historical residential house, pd1 is the parameterized slope of the roof of the user's historical residential house, mcb1 is the parameterized proportion of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, τ1 is the compensation factor of the set wzd, τ2 is the compensation factor of the set pd, τ3 is the compensation factor of the set mcb, and e is a natural constant.

[0069] The characteristic factor of the user's historical residential house is calculated by comprehensively considering the proportion of the integrity of the exterior wall, the roof slope, and the ratio of doors, windows and exterior walls of the user's historical residential house. It can comprehensively consider multiple key factors that affect the appearance of the house. The proportion of the exterior wall integrity reflects the maintenance status and durability of the building facade; the roof slope involves drainage performance, snow carrying capacity and architectural style; the ratio of doors, windows and exterior walls is related to lighting, ventilation and the transparency of the building appearance. Combining these factors, the overall appearance characteristics of the user's historical residential house can be more accurately grasped.

[0070] The initial construction plan of rural buildings, the emphasis type of rural building design structure and the optimization plan of rural building appearance are transmitted to the visualization platform, and the transmission process of the initial construction plan of rural buildings, the emphasis type of rural building design structure and the optimization plan of rural building appearance is analyzed to determine whether the visualization platform has received it successfully.

[0071] The specific analysis process is as follows: obtaining transmission process data, which specifically includes transmission delay, transmission packet loss rate, and transmission signal strength; based on the obtained transmission process data, comprehensively analyzing the transmission process analysis signal to obtain the transmission process analysis signal, and using the transmission process analysis signal as the analysis basis for determining whether the visualization platform has successfully received the signal; comparing the transmission process analysis signal with the transmission process analysis threshold stored in the database; if the transmission process analysis signal is not lower than the transmission process analysis threshold, the visualization platform has successfully received the signal; if the transmission process analysis signal is lower than the transmission process analysis threshold, the visualization platform has not successfully received the signal, and the initial construction plan of the rural building, the focus type of the rural building design structure, and the rural building appearance optimization plan must be re-transmitted to the visualization platform.

[0072] Transmission delay refers to the time interval from the start of data transmission at the sender (such as the server storing the rural building design plan) to the receipt of the data at the receiver (visualization platform), which mainly includes transmission delay, propagation delay, processing delay and queuing delay. Transmission packet loss rate refers to the ratio of the number of lost data packets to the total number of sent data packets during data transmission. During the network transmission of data packets, some data packets may not reach the receiving end due to network congestion, equipment failure, signal interference and other reasons. Transmission signal strength refers to the measurement of the energy of the signal when it propagates in the transmission medium during data transmission. It reflects the strength of the signal and is usually expressed in decibels (dB). Signal strength is affected by many factors, including the signal transmission power of the sender, the transmission distance, the attenuation characteristics of the transmission medium, the influence of interference sources, etc.

[0073] By monitoring the transmission process data such as transmission delay, transmission packet loss rate and transmission signal strength, we can effectively avoid the loss or damage of rural building design plan information caused by network problems. For example, a high transmission packet loss rate may prevent some building design plan content from reaching the visualization platform completely. By retransmitting, we can ensure that the platform receives the complete initial construction plan, design structure focus type and appearance image optimization plan, etc., to ensure that engineers see the complete design content.

[0074] Engineers conduct a complete design of rural buildings based on a complete design content plan. Long transmission delay or weak signal strength may cause data transmission errors, affecting the visualization platform's reception and correct interpretation of the design plan. By comparing the transmission process analysis signal with the threshold to determine whether the reception is successful, these potential errors can be discovered and corrected in a timely manner, ensuring that the architectural design information transmitted to the visualization platform is accurate.

[0075] The transmission process analyzes the signal. The specific analysis process is as follows:

[0076]

[0077] Wherein, δ is the transmission process analysis signal, sy is the transmission delay, dbl is the transmission packet loss rate, hqd is the transmission signal strength, μ1 is the compensation factor of the set sy, μ2 is the compensation factor of the set dbl, and μ3 is the compensation factor of the set hqd.

[0078] These three factors reflect the quality of transmission from different perspectives. Transmission delay reflects the timeliness of data transmission, packet loss rate reflects the integrity of data, and signal strength is related to the stability of transmission. By combining them, it is possible to more accurately evaluate whether the entire transmission process can successfully transmit the initial construction plan of rural buildings, the focus type of rural building design structure, and the optimization plan of rural building appearance to the visualization platform. By comparing the transmission process analysis signal with the stored threshold, it is possible to more accurately determine whether the visualization platform can successfully receive the initial construction plan of rural buildings, the focus type of rural building design structure, and the optimization plan of rural building appearance.

[0079] In a specific embodiment, the total number of people in the user's household (rk) is 6, the total number of permanent residents in the user's household (czr) is 4, the average residence frequency of temporary residents in the user's household (zzp) is 10 times / year, the compensation factor of rk is set to 0.5, the compensation factor of czr is set to 0.3, and the compensation factor of zzp is set to 0.2. The user's population residential characteristic factor is calculated to be 12.44, which is not less than the user's population residential characteristic threshold of 8. Then the rural building design scale characteristic corresponding to the user's population residential characteristic factor is large-scale.

[0080] The average sleeping time of user's family (sm): 7 hours / day, the cooking frequency of user's family (pr): 5 times / day, the crop breeding area of ​​user's family (yz): 200 square meters, the compensation factor of sm is set to 0.4, the compensation factor of pr is set to 0.3, the compensation factor of yz is set to 0.3, based on the minimum user behavior pattern characteristic factor, the corresponding user behavior pattern characteristic parameter data is determined, and the rural building design layout plan corresponding to the user behavior pattern characteristic parameter data stored in the database is obtained, which is to set up a larger kitchen space to meet the higher cooking frequency requirements, reserve a special farm tool storage room and agricultural product processing area to adapt to the crop breeding area, and reasonably plan the bedroom space according to the average sleep time to ensure comfort.

[0081] The highest precipitation in the user's historical living environment (js): 1200 mm / year, the average temperature in the user's historical living environment (wd): 10℃, the average humidity in the user's historical living environment (sd): 70%, the distance between the user's historical living environment and the earthquake-prone zone (jl): 50 kilometers, the compensation factor of js set: 0.3, the compensation factor of wd set: 0.2, the compensation factor of sd set: 0.2, the compensation factor of jl set: 0.3, based on the minimum user's historical living environment characteristic factor, determine the corresponding user's historical living environment characteristic parameter data, and obtain the rural building design structure focus type corresponding to the user's historical living environment characteristic parameter data stored in the database. Due to the high precipitation and the close distance to the earthquake-prone zone, the building structure focuses on waterproof drainage design and earthquake-resistant design. Use a sloping roof, strengthen the waterproof treatment of the exterior wall, use a frame structure with good earthquake-resistant performance, and strengthen the connection between the building foundation and the main structure.

[0082] The integrity ratio of the exterior wall of the user's historical residential house (wzd): 60%, the roof slope of the user's historical residential house (pd): 30°, the ratio of the total area of ​​doors and windows to the exterior wall of the user's historical residential house (mcb): 20%, the set compensation factor of wzd: 0.3, the set compensation factor of pd: 0.3, the set compensation factor of mcb: 0.4, based on the minimum characteristic factor of the user's historical residential house, determine the corresponding characteristic parameter data of the user's historical residential house, and obtain the rural building appearance image optimization plan corresponding to the characteristic parameter data of the user's historical residential house stored in the database, which is to repair the exterior wall to improve the integrity ratio, appropriately adjust the roof slope to optimize drainage and appearance style, and adjust the ratio of doors and windows to exterior walls to improve lighting and ventilation while ensuring a coordinated appearance.

[0083] Transmission delay (sy): 0.5 seconds, transmission packet loss rate (dbl): 0.02, transmission signal strength (hqd): -30dB, set sy compensation factor: 0.4, set dbl compensation factor: 0.3, set hqd compensation factor: 0.3, the calculated transmission process analysis signal is -3.73, which is not less than the transmission process analysis threshold of -5, then the visualization platform is received successfully, and the initial construction plan of rural buildings, the focus type of rural building design structure and the optimization plan of rural building appearance are successfully transmitted to the visualization platform, which can be used by engineers for subsequent complete design work.

[0084] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A rural building design method that matches user needs, characterized in that: The following steps are involved: Acquire user population residential characteristic data, and match rural building design scale characteristics based on the acquired user population residential characteristic data; Analyze the characteristics of user behavior patterns, determine the design layout of rural buildings, and combine the design scale characteristics of rural buildings to obtain the initial construction plan of rural buildings; Analyze the historical living environment characteristics of users and determine the focus type of rural building design structure; Analyze the characteristics of the user's historical residential houses and determine the optimization plan for the appearance of rural buildings; The initial construction plan of rural buildings, the emphasis type of rural building design structure and the optimization plan of rural building appearance are transmitted to the visualization platform, and the transmission process of the initial construction plan of rural buildings, the emphasis type of rural building design structure and the optimization plan of rural building appearance is analyzed to determine whether the visualization platform has received it successfully.

2. A rural building design method matching user needs according to claim 1, characterized in that: The user population residential characteristic data obtained is used to match the rural building design scale characteristics. The specific analysis process is as follows: Obtaining user population residential characteristic data, which specifically includes the total number of user family members, the total number of permanent residents in the user family, and the average residential frequency of temporary residents in the user family; Based on the acquired residential characteristic data of user population, the residential characteristic factors of user population are obtained through comprehensive analysis, and the residential characteristic factors of user population are used as the analysis basis for matching the design scale characteristics of rural buildings; comparing the user population residence characteristic factor with the user population residence characteristic threshold stored in the database; If the user population residential characteristic factor is not lower than the user population residential characteristic threshold, the rural building design scale characteristic corresponding to the user population residential characteristic factor is large scale; If the user population residential characteristic factor is lower than the user population residential characteristic threshold, the rural building design scale characteristic corresponding to the user population residential characteristic factor is small scale.

3. A rural building design method matching user needs according to claim 1, characterized in that: The user behavior pattern characteristics are analyzed to determine the rural building design layout plan. The specific analysis process is as follows: Obtaining user behavior pattern characteristic data, which specifically includes the average sleep duration of the user's family, the frequency of cooking in the user's family, and the area of ​​crop cultivation in the user's family; Obtaining the characteristic parameter data of each user's behavior pattern stored in the database, wherein the characteristic parameter data of the user's behavior pattern specifically includes the user's family's parameterized sleep duration, the user's family's parameterized cooking frequency, and the user's family's parameterized crop breeding area; Based on the user behavior pattern characteristic data and each user behavior pattern characteristic parameter data, a comprehensive analysis is performed to obtain each user behavior pattern characteristic factor, and the user behavior pattern characteristic factor is used as the analysis basis for determining the rural building design layout plan; Based on the minimum user behavior pattern characteristic factor, the corresponding user behavior pattern characteristic parameter data is determined, and the rural building design layout plan corresponding to the user behavior pattern characteristic parameter data stored in the database is obtained.

4. A rural building design method matching user needs according to claim 3, characterized in that: The specific analysis process of the user behavior pattern characteristic factor is as follows: Wherein, α is the characteristic factor of user behavior pattern, sm is the average sleep duration of user family, pr is the cooking frequency of user family, yz is the crop breeding area of ​​user family, sm1 is the parameterized sleep duration of user family, pr1 is the parameterized cooking frequency of user family, yz1 is the parameterized breeding area of ​​user family, ε1 is the compensation factor of sm, ε2 is the compensation factor of pr, ε3 is the compensation factor of yz, and e is a natural constant.

5. The rural building design method matching user needs according to claim 1 is characterized by: The above-mentioned initial construction plan of rural buildings is obtained by combining the design scale characteristics of rural buildings. The specific analysis process is as follows: The rural building design scale characteristics and the rural building design layout plan are stored as designated tags, the designated tags are compared with the set tags stored in the database, the set tags corresponding to the designated tags are obtained, and the rural building initial construction plan corresponding to the set tags stored in the database is obtained.

6. A rural building design method matching user needs according to claim 1, characterized in that: The above analysis is conducted on the historical living environment characteristics of the user to determine the focus type of rural building design structure. The specific analysis process is as follows: Obtaining the user's historical living environment characteristic data, the user's historical living environment characteristic data specifically includes the user's historical living environment maximum precipitation, the user's historical living environment average temperature, the user's historical living environment average humidity, and the user's historical living environment distance from the earthquake active zone; Obtaining the historical residential environment characteristic parameter data of each user stored in the database, wherein the historical residential environment characteristic parameter data of the user specifically includes the historical residential environment parameter precipitation of the user, the historical residential environment parameter temperature of the user, the historical residential environment parameter humidity of the user, and the historical residential environment of the user and the earthquake active zone parameter distance; Based on the acquired user historical residential environment characteristic data and each user's historical residential environment characteristic parameter data, a comprehensive analysis is performed to obtain each user's historical residential environment characteristic factor, which is used as the analysis basis for determining the emphasis type of rural building design structure; Based on the minimum user historical living environment characteristic factor, the corresponding user historical living environment characteristic parameter data is determined, and the rural building design structure emphasis type corresponding to the user historical living environment characteristic parameter data stored in the database is obtained.

7. A rural building design method matching user needs according to claim 6, characterized in that: The specific analysis process of the user's historical residential environment characteristic factor is as follows: Wherein, β is the characteristic factor of the user's historical living environment, js is the maximum precipitation of the user's historical living environment, wd is the average temperature of the user's historical living environment, sd is the average humidity of the user's historical living environment, jl is the distance between the user's historical living environment and the earthquake-active zone, js1 is the reference precipitation of the user's historical living environment, wd1 is the reference temperature of the user's historical living environment, sd1 is the reference humidity of the user's historical living environment, jl1 is the reference distance between the user's historical living environment and the earthquake-active zone, σ1 is the compensation factor of js, σ2 is the compensation factor of wd, σ3 is the compensation factor of sd, and σ4 is the compensation factor of jl.

8. The rural building design method matching user needs according to claim 1 is characterized by: The above analysis is performed on the characteristics of the user's historical residential houses to determine the optimization plan for the appearance of rural buildings. The specific analysis process is as follows: Obtaining the characteristic data of the user's historical residence, the characteristic data of the user's historical residence specifically includes the ratio of the integrity of the exterior wall of the user's historical residence, the slope of the roof of the user's historical residence, and the ratio of the total area of ​​doors and windows to the exterior wall of the user's historical residence; Obtaining the characteristic parameter data of each user's historical residential house stored in the database, wherein the characteristic parameter data of the user's historical residential house specifically includes the parameter ratio of the integrity of the external wall of the user's historical residential house, the parameter slope of the roof of the user's historical residential house, and the parameter ratio of the total area of ​​doors and windows and the external wall of the user's historical residential house; Based on the historical residential house feature data of users and the parameter data of historical residential house features of each user, a comprehensive analysis is performed to obtain the historical residential house feature factors of each user. The historical residential house feature factors of users are used as the analysis basis for determining the rural building appearance optimization plan; Based on the minimum user's historical residential house characteristic factor, the corresponding user's historical residential house characteristic parameter data is determined, and the rural building appearance optimization plan corresponding to the user's historical residential house characteristic parameter data stored in the database is obtained.

9. A rural building design method matching user needs according to claim 8, characterized in that: The specific analysis process of the user's historical residential housing characteristic factor is as follows: Wherein, γ is the characteristic factor of the user's historical residential house, wzd is the proportion of the integrity of the exterior wall of the user's historical residential house, pd is the roof slope of the user's historical residential house, mcb is the ratio of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, wzd1 is the parameterized proportion of the integrity of the exterior wall of the user's historical residential house, pd1 is the parameterized slope of the roof of the user's historical residential house, mcb1 is the parameterized proportion of the total area of ​​doors and windows to the exterior wall of the user's historical residential house, τ1 is the compensation factor of the set wzd, τ2 is the compensation factor of the set pd, τ3 is the compensation factor of the set mcb, and e is a natural constant.

10. A rural building design method matching user needs according to claim 1, characterized in that: The specific analysis process of judging whether the visualization platform has received the data successfully is as follows: Obtain transmission process data, which specifically includes transmission delay, transmission packet loss rate, and transmission signal strength; Based on the acquired transmission process data, a transmission process analysis signal is obtained through comprehensive analysis. The transmission process analysis signal is used as an analysis basis for judging whether the visualization platform has received the data successfully. comparing the transmission process analysis signal with a transmission process analysis threshold stored in a database; If the transmission process analysis signal is not lower than the transmission process analysis threshold, the visualization platform receives it successfully; If the transmission process analysis signal is lower than the transmission process analysis threshold, the visualization platform has not received it successfully, and the initial construction plan of the rural building, the focus type of the rural building design structure and the rural building appearance optimization plan need to be re-transmitted to the visualization platform.

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