Budget-based plant collocation scheme intelligent generation method and device

Abstract

The invention discloses a budget-based plant collocation scheme intelligent generation method and device, and the method comprises the steps: responding to the input operation of budget information, and presenting a plant collocation scheme in an interface based on the budget information, the plant collocation scheme comprising a plurality of plant species and the number corresponding to each plant species; and before the plant collocation scheme is presented, generating the plant collocation scheme based on the budget information and the current market price associated with each plant in the database. The plant matching scheme is generated based on the budget information, so that the generation efficiency of the scheme is improved, and the richness of the scheme is improved.

Description

Technical Field

[0001] This invention relates to the field of plant information processing technology, specifically to a method and apparatus for intelligent generation of plant combination schemes based on budget. Background Technology

[0002] In existing technologies, determining plant combination schemes based on budgets is usually done manually, involving manually designing various plant combination possibilities and then manually calculating prices. The resulting configuration schemes often fail to adequately meet the budget or plant combination requirements.

[0003] This method requires manual configuration and calculation, which is inefficient and labor-intensive. The resulting plant configurations often fail to adequately balance price and plant combination. Summary of the Invention

[0004] The main objective of this invention is to provide a method and apparatus for intelligently generating plant combination schemes based on budget, so as to solve the shortcomings of related technologies.

[0005] To achieve the above objectives, according to a first aspect of the present invention, a method for intelligently generating plant combination schemes based on budget is provided, comprising responding to an input operation of budget information and presenting a plant combination scheme in an interface based on the budget information, wherein the plant combination scheme includes multiple plant species and the quantity corresponding to each plant species; wherein, before presenting the plant combination scheme, the plant combination scheme is generated based on the budget information and the current market price associated with each plant in the database.

[0006] Optionally, the method further includes presenting a plant arrangement scheme in response to input operations of budget information and arrangement pattern, wherein the plant scheme is generated based on budget information, market price, and arrangement pattern; the arrangement pattern consists of the budget proportion of main plants, the budget proportion of background plants, and the budget proportion of auxiliary plants; the arrangement pattern specifies the proportion of plants under different dimensions of information.

[0007] Optionally, the method further includes presenting a plant arrangement scheme in response to input operations of budget information and specified information, wherein the specified information includes one or more of scene information, region, area information, terrain information, and personal preference style information, and generating a plant arrangement scheme based on budget information, market price, and specified information.

[0008] Optionally, plant combination schemes can be presented in response to input of budget information and user preference information.

[0009] Optionally, in response to input of budget information and supply model information, plant combination schemes can be presented.

[0010] Optionally, after determining the plant combination scheme, the plant species and / or the number of plants are readjusted according to the specified characteristics of each plant species, wherein the specified characteristics include the popularity information and market supply information of each plant species.

[0011] Optionally, generating a plant arrangement scheme based on budget information, market price, and arrangement pattern includes: calculating the sub-budgets corresponding to the main plants, background plants, and auxiliary plants based on the arrangement pattern and budget information; or calculating the sub-budgets corresponding to different types of plants based on the arrangement pattern and budget information; and determining the plant arrangement scheme by combining the sub-budget information and the current market price associated with each plant in the metadata database.

[0012] Optionally, generating a plant combination scheme based on budget information and the current market price associated with each plant in the database includes: determining the delivery route based on the current real-time location information of the user terminal, and determining the freight information based on the route; generating a plant combination scheme based on budget information, freight information, and the current market price associated with each plant in the database.

[0013] According to a second aspect of the present invention, a budget-based intelligent plant combination scheme generation device is provided, comprising an information input detection module for detecting input operations of budget information; and a presentation module for presenting plant combination schemes on an interface based on the budget information, wherein the plant combination scheme includes multiple plant species and the corresponding quantity of each plant species; wherein, before presenting the plant combination scheme, the plant combination scheme is generated based on the budget information and the current market price associated with each plant in the database.

[0014] According to a third aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the method described in any implementation of the first aspect.

[0015] This embodiment presents a method and apparatus for intelligently generating plant combination schemes based on budget. The method includes, in response to an input operation of budget information, presenting plant combination schemes on an interface based on the budget information. The plant combination schemes include multiple plant species and the corresponding quantities for each plant species. Before presenting the plant combination schemes, the method generates plant combination schemes based on the budget information and the current market prices associated with each plant in a database. Generating plant combination schemes based on budget information improves the efficiency of scheme generation and enhances the richness of the schemes. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram illustrating the application of the budget-based intelligent generation method for plant combination schemes in this invention. Figure 2 This is a schematic diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of the invention described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0020] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0021] According to embodiments of the present invention, a method for intelligently generating plant combination schemes based on budget is provided, such as... Figure 1 As shown, steps 101 to 103 are included below: Step 101: In response to the input of budget information, present a plant arrangement scheme on the interface based on the budget information. The plant arrangement scheme includes multiple plant species and the corresponding quantity for each plant species. Before presenting the plant arrangement scheme, a plant arrangement scheme is generated based on the budget information and the current market price associated with each plant in the database.

[0022] In this step, the user can enter budget information (also selecting a budget amount) on the terminal interface; this can be done via voice or text input, which is not limited here. (Refer to [reference needed]) Figure 1 If you input text (e.g., 1 million), then you can directly display the plant combination scheme in the plant combination scheme display area.

[0023] For example, when determining market prices, raw unit price data is obtained through offline market research (inquiries at seedling bases and flower wholesale markets) and online public information collection (listed prices on professional seedling e-commerce platforms, single-item prices in landscaping procurement bidding announcements, and industry price white papers). The corresponding basic retail / wholesale unit price is stored with plant variety and core specifications (such as "camphor tree - 10cm diameter" and "rose - 50cm height") as unique identifiers, and the unified pricing unit is yuan / plant (herbaceous / ground cover plants can be unified as yuan / ㎡ to ensure consistent accounting).

[0024] Unit price data from different channels and with different pricing units are uniformly converted to the above-mentioned standard units. For example, the unit price of herbaceous flowers in "yuan / batch" is converted to "yuan / plant," while the unit price of liriope muscari in "yuan / ㎡" is retained as the standard unit. Extreme unit prices exceeding ±15% of the category average price are removed from the data (such as clearance prices of unsold seedlings or high prices inflated by speculation on rare varieties), forming a standardized plant unit price database, which is updated quarterly to keep pace with market conditions.

[0025] When generating plant mix schemes, all plant unit prices can be retrieved from a standardized unit price database and sorted from low to high to form a variety sequence, which facilitates subsequent matching according to the budget. For example, during budget matching, the plants in the database are divided into three price ranges according to the variety sequence (low price range ≤ 50 yuan, medium price range 50-500 yuan, and high price range > 500 yuan). The final scheme needs to ensure coverage of at least two ranges to take into account the diversity of varieties. The budget proportion is allocated according to the range (which can be flexibly adjusted), such as 40% for the low price range, 30% for the medium price range, and 30% for the high price range, to achieve a balanced mix of varieties at different price levels. Varieties are randomly selected or sorted by price within each price range, and the quantity of a single variety is calculated using the formula: quantity of corresponding range budget ÷ unit price of single item. Then, fine-tuning is used to ensure that the total price matches the budget.

[0026] For example, taking a total budget of 100,000 yuan as an example, the category and quantity are determined by using a unit price range stratification + total price matching algorithm: Budget pre-allocation: Low-price zone (≤50 yuan) budget = 100,000 × 40% = 40,000 yuan; Medium-price zone (50-500 yuan) budget = 100,000 × 30% = 30,000 yuan; High-price zone (>500 yuan) budget = 100,000 × 30% = 30,000 yuan.

[0027] In the low-price zone, a certain size of Golden Privet (15 yuan / plant) and a certain size of Rose (8 yuan / plant) are randomly selected, etc.; in the mid-price zone, a certain size of Holly (30 yuan / plant) is randomly selected, etc.; in the high-price zone, a certain size of Osmanthus (600 yuan / plant) is selected. When calculating the quantities, in the high-price zone (Osmanthus): quantity = 30000 ÷ 600 = 50 plants, consuming a budget of 30000 yuan, with no surplus; in the mid-price zone (Holly): quantity = 30000 ÷ 30 = 1000 plants, consuming a budget of 30000 yuan, with no surplus; in the low-price zone, 40000 yuan is divided 1:1 between Golden Privet and Rose. Golden Privet quantity = 20000 ÷ 15 ≈ 1333 plants (consuming 19995 yuan, surplus 5 yuan); Rose quantity = 20005 ÷ 8 ≈ 2500 plants (consuming 20000 yuan). Yuan, with a final balance of 5 yuan.

[0028] The total cost verification shows that the total construction cost = 30,000 + 30,000 + 19,995 + 20,000 = 99,995 yuan, which matches the 100,000 yuan budget by 99.995%, meeting the constraints. The final plan includes: 50 osmanthus trees, 1,000 holly trees, 1,333 golden privet trees, and 2,500 rose bushes (4 varieties, covering 3 price ranges). If the matching degree does not meet the specified threshold, adjustments can be made based on the original plan, either in terms of quantity or variety.

[0029] It should be understood that this is merely an example and can be configured as needed, without any limitations.

[0030] As an optional implementation of this embodiment, the method further includes presenting a plant arrangement scheme in response to input operations of budget information and arrangement mode, wherein the plant scheme is generated based on budget information, market price, and arrangement mode; the arrangement mode consists of the budget proportion of main plants, the budget proportion of background plants, and the budget proportion of auxiliary plants; the arrangement mode specifies the proportion of plants under different dimensions of information.

[0031] In this optional implementation, the arrangement pattern can be composed of the budget proportion of the main scene plants, the budget proportion of the background plants, and the budget proportion of the auxiliary scene plants; the arrangement pattern can also be composed of the proportion of different plant categories, such as the proportion of trees, shrubs, and herbs; the arrangement pattern can also be composed of the proportion of plants with different characteristics, such as tall plants, middle-layer plants, and lower-layer plants; the arrangement pattern can also be composed of the proportion of different plant categories, such as the proportion of camphor trees, magnolias, and peonies; the arrangement pattern can also be composed of other dimensions that allow specifying the proportion of plants, which is not limited here.

[0032] Users can input a total budget and select a planting pattern (or a custom budget percentage for three plant categories). Based on the user's selected pattern, the total budget is broken down into sub-budgets for main plants, background plants, and accent plants. The formula is: Sub-budget for a certain plant category = Total budget × Budget percentage for that plant category. For example, with a total budget of 100,000 yuan and a balanced planting pattern: Sub-budget for main plants = 100,000 × 50% = 50,000 yuan; Sub-budget for background plants = 100,000 × 30% = 30,000 yuan; Sub-budget for accent plants = 100,000 × 20% = 20,000 yuan.

[0033] The selection of plant varieties and the calculation of quantities are completed by combining market prices. For each type of plant sub-budget, suitable varieties are selected from the market price database, and the quantity is calculated using a formula. The specific logic is as follows: main landscape plants are selected from a designated first category, such as trees; background plants are selected from a designated second category, such as shrubs; and auxiliary landscape plants are selected from a designated third category, such as ground cover or flowers. When calculating the quantity, the core formula is: Quantity of a single variety = Corresponding sub-budget × Variety percentage ÷ Market price of a single variety (1-3 varieties can be selected from a type of plant, and the variety percentage can be allocated according to demand). If there is a surplus / overspend in the sub-budget after calculation, priority is given to increasing or decreasing the quantity of low-priced auxiliary landscape plants to ensure that the fit of each type of sub-budget is within ±k% fluctuation range.

[0034] For example, the main landscape plants (sub-budget 50,000 yuan): Camphor trees (800 yuan / plant) are selected as the core variety, allocated 100% of the main landscape sub-budget, quantity = 50,000 ÷ 800 = 62.5 plants, rounded down to 62 plants, actual consumption 49,600 yuan, surplus 400 yuan; Background plants (sub-budget 30,000 yuan): Red photinia balls (120 yuan / plant) are selected, quantity = 30,000 ÷ 120 = 250 plants, no budget surplus; Auxiliary landscape plants (sub-budget 20,000 yuan + main landscape surplus 400 yuan = 20,400 yuan): allocated 1:1 to golden privet (15 yuan / plant) and rose (8 yuan / plant), golden privet quantity = 10,200 ÷ 15 = 680 plants, rose quantity = 10,200 ÷ 8 = 1275 The total cost was 20,395 yuan, with a final balance of 5 yuan.

[0035] Based on the calculation method of the proportion of main scene, background and auxiliary scene mentioned above, the situation of directly determining the proportion of different types of plants and the performance calculation are obtained to obtain a scheme corresponding to another matching mode.

[0036] As an optional implementation of this embodiment, the method further includes presenting a plant matching scheme in response to input operations of budget information and specified information. The specified information includes one or more of scene information, region, area information, terrain information, and personal preference style information. The plant matching scheme is generated based on the budget information, market price, and specified information.

[0037] In this optional implementation, the standardized plant unit price database includes not only the plant market price but also plant characteristic information such as the crown width that affects the area occupied, as well as the suitable scenarios for the plant, such as roadside, park, community, etc.

[0038] For example, a user inputs a budget of 80,000 yuan and specified information (covering one or more specified information): the scenario is a pocket park in an urban community (needing to consider both aesthetics and children's activity space); the region is North China (temperate climate, cold winters, requiring cold-resistant plants); the area is 500 square meters (of which the green coverage area must be ≥350 square meters, the remainder being paved activity area); the terrain is mainly flat, including one small gentle slope (slope ≤15°); the user's preferred style is modern minimalist, requiring "scenery in all four seasons" (evergreen + colorful foliage / flowering plants), and child-friendly (thornless, non-toxic). The generated solution takes into account the price, specified information, and area suitability: plant selection (precisely matching the user's specified information). The selection criteria required meeting the following criteria: cold hardiness (region), thornless (child-friendly), modern and minimalist (style), flat / gentle slope (terrain), and pocket park (scene). Priority was given to suppliers located near North China (to reduce transportation costs). The final shortlisted candidate species were: Main plants (skeleton trees, providing year-round visual appeal): Chinese scholar tree, white pine, and ash; Background plants (mid-layer planting, enriching the visual appeal): large-leaved boxwood balls and honeysuckle; Secondary plants (ground cover, filling space): hosta, sedum spectabile, and liriope. Main plants (skeleton trees, accounting for 40% of the budget): 80,000 × 40% = 32,000 yuan; Background plants: 80,000 × 30% = 24,000 yuan (including market price + transportation); Secondary plants: 80,000 × 30% = 24,000 yuan.

[0039] Furthermore, the area is broken down (based on the area occupied by plants to fit a 500㎡ pocket park). The core landscape area of ​​the main plants is 150㎡ (accounting for approximately 43% of the green area), with each plant occupying 4-6㎡ and the number controlled at 25-35 plants. The middle layer of the background plants is 100㎡ (accounting for approximately 29% of the green area), with each plant occupying 1.5-1.8㎡ and the number controlled at 55-65 plants. The auxiliary plants: the ground cover area is 100㎡ (accounting for approximately 28% of the green area), calculated based on the area occupied by each plant / unit, and must cover all remaining green space.

[0040] Quantity calculation (simultaneously satisfying budget, area, and transportation costs) core formula: Quantity = (Sub-budget × Variety percentage) ÷ Individual product market price, while simultaneously satisfying the condition that the area occupied by a single plant × Quantity ≤ the corresponding area. For example: Main landscape plants (32,000 yuan, 150㎡), variety combination: Chinese scholar tree (deciduous, provides shade in summer) and white pine (evergreen, provides visual interest in winter), budget allocated at a 6:4 ratio; Chinese scholar tree budget: 32,000 yuan × 60% = 19,200 yuan; quantity = 19,200 ÷ 850 (unit price) ≈ 22 trees; area occupied = 22 × 5 = 110㎡ (≤150㎡, meets area requirements); actual cost = 22 × 850 = 18,700 yuan. White pine budget: 32,000 yuan × 40% = 12,800 yuan; quantity = 12,800 ÷ 1,200 ≈ 10 trees; area occupied = 10 × 6 = 60㎡; total main landscape area = 110 + 60 = 170㎡ (exceeds 150㎡, requires slight adjustment). During the minor adjustments, two white pine trees can be removed, bringing the total to eight; the area occupied = 8 × 6 = 48㎡; the total area occupied by the main landscape = 110 + 48 = 158㎡ (close to 150㎡, which is acceptable); the actual cost = 8 × 1200 = 9600 yuan.

[0041] Therefore, the main scenery consists of 22 Chinese scholar trees + 8 white pine trees, with a total cost of 18700 + 9600 = 28300 yuan (with a surplus of 3700 yuan).

[0042] For example, the background plants (24,000 yuan, 100㎡) are a combination of large-leaved boxwood balls (evergreen) and honeysuckle (flowering + fruiting), with the budget allocated in a 7:3 ratio. Large-leaved boxwood balls: Budget allocation 24,000 yuan × 70% = 16,800 yuan; Quantity = 16,800 ÷ 150 = 112 plants (occupying an area of ​​112 × 1.5 = 168㎡, exceeding 100㎡, requiring adjustment); For minor adjustments, the quantity is reduced to 65 plants; Occupying an area of ​​65 × 1.5 = 97.5㎡ (≤100㎡); Actual cost = 65 × 150 = 9,750 yuan. The initial budget for honeysuckle was 24,000 × 30% = 7,200 yuan; the quantity was 7,200 ÷ 180 = 40 trees; the area occupied was 40 × 1.8 = 72 square meters (total background area = 97.5 + 72 = 169.5 square meters, exceeding 100 square meters, requiring a second adjustment); the final adjustment included 40 large-leaf boxwood balls (occupying 60 square meters) + 22 honeysuckle trees (occupying 39.6 square meters); the total area occupied was 99.6 square meters (meets the requirements); the total cost was 40 × 150 + 22 × 180 = 6,000 + 3,960 = 9,960 yuan (a surplus of 14,040 yuan was added to the auxiliary landscaping budget).

[0043] The auxiliary landscaping plants (24,000 yuan + surplus 14,040 yuan = 38,040 yuan, 100㎡) are selected from a variety of plants: *Liriope muscari* (fully covering flat ground), *Hosta* (shade-tolerant, suitable for planting on gentle slopes), and *Sedum spectabile* (colorful foliage, brightening the landscape), allocated in a 5:3:2 ratio. The budget allocated to *Liriope muscari* is 38,040 × 50% = 19,020 yuan; unit cost = 50 yuan / ㎡; coverage area = 19,020 ÷ 50 = 380.4㎡ (if exceeding 100㎡, adjustments need to be made based on the actual greening area); in the actual adjustment, *Liriope muscari* covers 60㎡ (flat ground); cost = 60 × 50 = 3,000 yuan. The budget for Hosta (Hylocereus undatus) is 38040 × 30% = 11412 yuan; the quantity is 11412 ÷ 12 = 951 plants; the coverage area is 951 × 0.1 = 95.1㎡ (approximately 30㎡ on a gentle slope, requiring adjustment); after the actual adjustment, Hosta covers 30㎡ (gentle slope); the quantity is 30 ÷ 0.1 = 300 plants; the cost is 300 × 12 = 3600 yuan. The budget for Sedum spectabile is 38040 × 20% = 7608 yuan; the quantity is 7608 ÷ 10 = 760.8 plants; the coverage area is 760.8 × 0.08 = 60.86㎡ (excess, adjusted according to the remaining green area); after the actual adjustment, Sedum spectabile covers 10㎡ (embellishment); the quantity is 10 ÷ 0.08 = 125 plants; the cost is 125 × 10 = 1250 yuan. Therefore, the total auxiliary landscaping includes: 60㎡ of Liriope muscari + 300 Hosta plants + 125 Sedum spectabile plants; total cost = 3000 + 3600 + 1250 = 7850 yuan (the remaining amount is 38040 - 7850 = 30190 yuan, which can be used to add main landscaping plants to enhance the quality).

[0044] During the optimization, the remaining 30,190 yuan from the auxiliary landscaping was used to add ash trees (colorful foliage species, beautiful in autumn) to the main landscaping. Ash trees: market price per tree = 600 yuan; quantity = 30,190 ÷ 600 ≈ 50 trees; area occupied = 50 × 4 = 200㎡ (the remaining space in the core landscape area was insufficient, so 18 trees were ultimately selected); additional cost = 18 × 600 = 10,800 yuan; total surplus = 30,190 - 10,800 = 19,390 yuan (which can be reserved as a reserve fund for later maintenance, or 60㎡ of liriope muscari can be added at a cost of 3,000 yuan, with a final total cost ≈ 79,000 yuan).

[0045] As an optional implementation method in this embodiment, the number of plants is adjusted based on the user's input preference information.

[0046] In this optional implementation, user preference information includes category and quantity-oriented information. In addition to the baseline configuration, users can supplement their input with explicit preference information, such as the required percentage of plant types they like / dislike, which can be directly converted into category filtering and quantity adjustment actions. For example, taking the aforementioned generated scheme as an example, the preference information includes adding aromatic plants (osmanthus + lilac), replacing goldenrain trees with maple, increasing the number of honeysuckle, and adjusting the number of auxiliary plants; the quantity constraint preference is to control the total number of main trees. Based on this requirement, the following adjustments can be made to meet the following preferences: Aromatic plants (7 Osmanthus trees + 12 Lilac trees) totaling 19 plants, accounting for 14.2% of the total 134 plants in the main and background sections (close to 15%, which is optimal as the main section quantity constraint is not exceeded); Goldenrain trees are replaced with Acer truncatum, fully satisfying the requirement of "not liking Goldenrain trees"; Honeysuckle is increased from 18 to 22 plants, an increase of 22.2% (meeting the standard ≥20%); Sedum spectabile is reduced by 37 plants (a decrease of 29.6%), and Liriope muscari is increased by 15 square meters (an increase of 10%), increasing the proportion of low-maintenance auxiliary scenery from 89% to 93%. The quantity constraint preference is a total of 60 trees in the main section (meeting the standard ≤60 trees). The budget was 79,910 yuan, which was within the budget of 80,000 yuan (with a surplus of 90 yuan), and there was no overspending. The area was 428.84 square meters of green coverage, which exceeded the requirement of 350 square meters and increased the space utilization rate by 9.4%. The landscape design retained the combination of "evergreen + colorful leaves + fragrance" for the main scenery, added fragrant shrubs to the background, and mainly used low-maintenance evergreens for the auxiliary scenery, which was clear in layers and met all preferences.

[0047] This optional implementation directly responds to specific user preferences, enabling the addition or replacement of types as needed, as well as precise adjustment of quantities, solving the pain point that traditional configurations do not match user aesthetics; the adjustment process is based on quantitative rules, without subjective human judgment, maintaining the core advantages of automation and efficiency; all added or replaced varieties are selected from types with sufficient supply, ensuring the feasibility of the solution and aligning with the goal of intelligent and practical invention.

[0048] As an optional implementation of this embodiment, a plant matching scheme is presented in response to input operations of budget information and supply mode information.

[0049] In this optional implementation, the supply model can be a local supply model (core: proximity, low freight cost). The filtering logic only selects plants whose supply location is within K of the user's location (such as Chinese scholar tree, ash tree, large-leaved boxwood ball, and red-leaved photinia). The comprehensive price calculation is: Chinese scholar tree 865 yuan / plant (850+15), ash tree 615 yuan / plant (600+15), large-leaved boxwood ball 165 yuan / plant (150+15), and red-leaved photinia 40 yuan / plant (30+10). Quantity calculation (based on comprehensive price from low to high, total cost approximately 120,000 yuan): Red-leaved photinia: budget allocation 30,000 yuan, quantity = 30,000 ÷ 40 = 750 plants, cost 30,000 yuan; Large-leaved boxwood ball: budget allocation 40,000 yuan, quantity = 40,000 ÷ 165 ≈ 242 plants, cost 242 × 165 = 39,930 yuan. Yuan; White wax: Budget allocation of 50,000 yuan, quantity = 50,000 ÷ 615 ≈ 81 plants, cost 81 × 615 = 49,815 yuan; total cost: 30,000 + 39,930 + 49,815 = 119,745 yuan (surplus 255 yuan, within the budget range). Key features: freight costs account for only 5.2%, all plant suppliers are within k, short supply cycle, and low transportation losses.

[0050] The optimal supply model (maximizing cost-effectiveness and practical value) focuses on varieties with screening value (excluding varieties with extremely high / low prices and unstable supply). Specific selection principles are as follows: Covering all plant categories to ensure representative varieties for each greening layer (trees, shrubs, ground cover); considering key differentiating dimensions: price covering low (red photinia serratifolia 30 yuan / plant), medium (ash ash 600 yuan / plant), and medium-high (Chinese locust 850 yuan / plant), reflecting the cost-effectiveness differences across price ranges; distance covering short, medium, and medium-long distances to ensure the impact of freight costs on the overall price is included in the cost-effectiveness assessment; and practical value covering low-to-medium, medium, and medium-to-high practical value, highlighting the differences in "value-to-cost matching." Varieties without screening value are excluded. Extreme varieties, such as those with prices significantly higher than conventional varieties, naturally have lower cost-effectiveness and do not need to be included in the regular cost-effectiveness screening. Varieties with unstable supply are not marked with supply issues in the database and are considered stable, ensuring the screening results are feasible.

[0051] For example, the selection logic prioritizes cost-effectiveness from highest to lowest (Photinia serratifolia > Liriope muscari > Buxus macrocarpa balls > Ash > Sophora japonica); Quantity calculation (total cost approximately 120,000 yuan): Photinia serratifolia: budget allocation 40,000 yuan, quantity = 40,000 ÷ 40 = 1,000 plants, cost 40,000 yuan; Liriope muscari: budget allocation 35,000 yuan, quantity = 35,000 ÷ 58 ≈ 603 square meters, cost 603 × 58 = 34,974 yuan; Buxus macrocarpa balls: budget allocation 30,000 yuan, quantity = 30,000 ÷ 165 ≈ 181 plants, cost 181 × 165 = 29,865 yuan; Ash: budget allocation 15,000 yuan, quantity = 15,000 ÷ 615 ≈ 24 plants, cost 24 × 615 = 14,760 yuan. Yuan; Total cost: 40000 + 34974 + 29865 + 14760 = 119599 yuan (with a surplus of 401 yuan, within the budget range). This offers the best cost-performance ratio, with the budget allocated to core, practical items, eliminating redundant costs.

[0052] Premium Supply Model (High Specifications, High Quality): Budget Breakdown: Premium Plant Budget = 120,000 × 35% = 42,000 RMB; Regular Plant Budget = 78,000 RMB; Premium Plant Selection: Osmanthus and Acer truncatum (high ornamental value, large size); Quantity Calculation (total cost aligning with 120,000 RMB): Premium Osmanthus: Budget allocation 22,000 RMB, Quantity = 22,000 ÷ 1825 (1800 + 25) ≈ 12 plants, Cost 12 × 1825 = 21,900 RMB; Premium Acer truncatum: Budget allocation 20,000 RMB, Quantity = 20,000 ÷ 1220 (1200 + 20) ≈ 16 plants, Cost 16 × 1220 = 19,520 RMB; Regular Ash: Budget allocation 40,000 RMB, Quantity = 40,000 ÷ 615 ≈ 65 plants, Cost 65 × 615 = 39,975 RMB; Regular Liriope muscari: Budget allocation 38,000 RMB. The cost is 10,000 yuan. The quantity is approximately 38,000 ÷ 58 ≈ 655 square meters. The cost is 655 × 58 = 37,990 yuan. The total cost is 21,900 + 19,520 + 39,975 + 37,990 = 119,385 yuan (with a surplus of 615 yuan, which is within the budget range). The core feature is that the proportion of high-quality plants is 34.5% (41,420 yuan / 119,385 yuan), the main landscape is of outstanding quality, the ornamental value is high, and it is suitable for high-end greening needs.

[0053] As an optional implementation of this embodiment, after determining the plant species and the corresponding quantity of each plant species, the plant species and / or the quantity of each plant species are readjusted according to the specified characteristics of each plant species. The specified characteristics include the popularity information and market supply information of each plant species.

[0054] In this optional implementation, adjustment rules are set based on popularity and market supply information. Then, based on the previously determined plant species and quantities, fine-tuning is performed using these rules. For example, the core adjustment rule could be to reduce the quantity of varieties with a market supply of ≤-medium by k1%-k2%, or replace them with readily available alternatives of the same function (to avoid supply delays / disruptions). For varieties with high popularity and sufficient supply, the quantity can be increased by 10%-20% (to improve user acceptance and landscape effect); varieties with moderate popularity and sufficient supply can maintain their original quantity or undergo minor adjustments (not exceeding ±10%); after adjustment, the total cost must be ≤ the budget.

[0055] This method is also applicable to adjustments to plant combination schemes generated based on budget information, market prices, and user-input specified information.

[0056] As an optional implementation of this embodiment, generating a plant combination scheme based on budget information and the current market price associated with each plant in the database includes: determining the delivery route based on the current real-time location information of the user terminal, determining the freight information based on the route; and generating a plant combination scheme based on budget information, freight information, and the current market price associated with each plant in the database.

[0057] In this optional implementation, the user's transportation cost can be determined based on the distance cost model. After deducting the transportation cost from the total budget, the solution can still be determined using the aforementioned method.

[0058] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0059] According to an embodiment of the present invention, a budget-based intelligent plant combination scheme generation device is also provided, characterized in that it includes: an information input detection module for detecting input operations of budget information; and a presentation module for presenting plant combination schemes on an interface based on the budget information, wherein the plant combination scheme includes multiple plant species and the corresponding quantity of each plant species; wherein, before presenting the plant combination scheme, the plant combination scheme is generated based on the budget information and the current market price associated with each plant in the database.

[0060] According to embodiments of the present invention, the present invention also provides an electronic device, the electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to implement the methods described in any of the above embodiments.

[0061] According to embodiments of the present invention, the present invention also provides a readable storage medium storing computer instructions that enable a computer to perform the methods described in any of the above embodiments when executed.

[0062] According to embodiments of the present invention, the present invention also provides a computer program product that, when executed by a processor, can implement the methods described in any of the above embodiments.

[0063] Figure 2 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices.

[0064] like Figure 2 As shown, the electronic device 300 includes a computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access memory (RAM) 303. The RAM 303 may also store various programs and data required for the operation of the electronic device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0065] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0066] The computing unit 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as the object matching method. For example, in some embodiments, the object matching method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the methods described above may be performed.

[0067] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0068] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0069] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

Claims

1. A budget-based intelligent generation method for plant combination schemes, characterized in that, include: In response to the input of budget information, a plant matching scheme is presented on the interface based on the budget information; The plant combination scheme includes multiple plant species and the corresponding specifications and quantities for each plant species; before presenting the plant combination scheme, a plant combination scheme is generated based on budget information and the plant price information associated with each plant.

2. The intelligent generation method for budget-based plant combination schemes according to claim 1, characterized in that, The method also includes presenting plant arrangement schemes in response to input operations of budget information and arrangement patterns, wherein the plant schemes are generated based on budget information, market prices, and arrangement patterns; the arrangement patterns specify the proportion of plants under different dimensions of information.

3. The intelligent generation method for budget-based plant combination schemes according to claim 1, characterized in that, The method also includes presenting plant arrangement schemes in response to input operations of budget information and specified information, wherein the specified information includes one or more of scene information, region, area information, terrain information, and personal preference style information, and generating plant arrangement schemes based on budget information, market price, and specified information.

4. The intelligent generation method for budget-based plant combination schemes according to claim 1, characterized in that... The method also includes presenting plant combination schemes in response to input of budget information and user preference information.

5. The method for intelligent generation of budget-based plant combination schemes according to any one of claims 1-4, characterized in that, In response to input of budget information and supply model information, plant combination schemes are presented.

6. The intelligent generation method for budget-based plant combination schemes according to claim 1, characterized in that, After determining the plant combination scheme, the plant species and / or the number of plants are readjusted according to the specified characteristics of each plant species. The specified characteristics include the popularity information and market supply information of each plant species.

7. The intelligent generation method for budget-based plant combination schemes according to claim 2, characterized in that, Plant arrangement schemes generated based on budget information, market prices, and arrangement patterns include: Calculate the sub-budgets for main plants, background plants, and auxiliary plants based on the arrangement pattern and budget information; or calculate the sub-budgets for different types of plants based on the arrangement pattern and budget information. The plant combination scheme is determined by using the sub-budget information and the current market price associated with each plant in the metadata database.

8. The intelligent generation method for budget-based plant combination schemes according to claim 1, characterized in that, Based on budget information and the current market price of each plant in the database, plant combination schemes are generated, including: The delivery route is determined based on the current real-time location information of the user's terminal, and the freight information is determined based on the route. Plant combination schemes are generated based on budget information, freight information, and the current market prices of various plant associations in the database.

9. A budget-based intelligent plant combination scheme generation device, characterized in that, include: The information input detection module detects the input of budget information. The presentation module displays a plant arrangement scheme on the interface based on the budget information. The plant arrangement scheme includes multiple plant types and the corresponding quantity of each plant type. Before presenting the plant combination scheme, a plant combination scheme is generated based on budget information and the current market price of each plant in the database.

10. An electronic device, characterized in that, include: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the method according to any one of claims 1-8.

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