Building material intelligent purchase matching and recommendation method

Abstract

The invention relates to the field of information matching, in particular to a building material intelligent purchase matching and recommendation method, which comprises the following steps: S1, building material product feature acquisition; s2, analyzing user demand characteristics; s3, performing similarity analysis; s4, user evaluation analysis; s5, carrying out regional applicability analysis; s6, building material product recommendation analysis; according to the method, the similarity between the characteristics of the various building material products and the user demand characteristics is obtained through analysis according to the characteristic parameters of the various building material products and the user demand characteristic evaluation parameters, and the user evaluation coefficients of the suppliers of the various building material products are obtained through obtaining the user evaluation analysis of the suppliers of the various building material products. According to the method, regional climate applicability and regional environment applicability of various building material products are obtained, regional applicability evaluation coefficients of the various building material products are obtained through analysis, recommendation indexes of the various building material products are obtained through comprehensive analysis, and all preferred building material products are screened out in combination with prices; and the building material product meeting the actual demand of the user can be more accurately recommended to the user.

Description

Technical Field

[0001] The present invention relates to the field of information matching, and in particular to a method for intelligent purchasing matching and recommendation of building materials. Background Art

[0002] With the continuous development of the construction industry, building materials play a vital role in various construction projects. Whether it is a large-scale commercial building, residential project, or infrastructure construction, high-quality building materials are indispensable. In the context of increasingly fierce market competition, how to purchase building materials efficiently and reasonably has become a key issue facing construction companies. At the same time, the improvement of environmental awareness, the continuous advancement of technology, and consumers' higher requirements for building quality and performance have also prompted the continuous evolution and innovation of building materials procurement models and strategies.

[0003] The existing Chinese patent with patent number CN202210567114.9 discloses a building materials procurement method and a building materials procurement platform. The solution obtains building materials procurement needs and bids, conducts risk assessment on the supply objects, and then screens multiple factors such as building materials types, demand, usage time period, supply cycle, corporate reputation, etc. and generates multiple sets of building materials procurement plans. It comprehensively considers multiple factors to generate multiple sets of plans, giving the purchaser more flexible choices to meet different project needs and actual conditions.

[0004] However, the above patents have the following problems: First, the reference factors of the scheme are mainly for management aspects, such as demand, usage period, supply cycle, etc., but the analysis of the characteristic parameters of building materials products is not sufficient, such as performance evaluation, environmental evaluation, and functional evaluation. This may lead to the selected building materials failing to achieve the expected effects and durability in actual use, or making the building materials unable to meet actual needs in certain specific functions.

[0005] Second, the plan does not take into account regional differences, such as the applicability of building materials to the climate and environment of different regions. Different regions may have unique climate, geographical environment and other conditions. Some building materials may perform well in some regions, but may not be applicable in other regions or there may be performance differences. It may also lead to the inability to fully utilize the unique building material resource advantages of certain regions, missing out on some high-quality and cost-effective building materials that are more suitable for the local area, thus affecting the overall cost-effectiveness and rational use of resources. Summary of the invention

[0006] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides a method for intelligent procurement matching and recommendation of building materials, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A method for intelligent procurement matching and recommendation of building materials, the method comprising the following steps: S1. Acquisition of building material product characteristics: Acquiring characteristic parameters of various types of building material products, the characteristic parameters including performance evaluation coefficient, environmental evaluation coefficient, and function evaluation coefficient.

[0008] S2. User demand characteristics analysis: obtain the user demand product performance evaluation level, environmental protection evaluation level, and functional evaluation level, and then obtain the maximum and minimum values ​​of the user demand characteristic evaluation parameters. The user demand characteristic evaluation parameters include the user demand performance evaluation coefficient, environmental protection evaluation coefficient, and functional evaluation coefficient.

[0009] S3. Similarity analysis: Based on the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user requirements, the similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user requirements, and the similarity between the function evaluation coefficients of various building materials products and the function evaluation coefficients of user requirements, the similarity δ between the characteristics of various building materials products and the characteristics of user requirements is obtained. i , i represents the serial number of the i-th category building materials product, i=1,2,...,n.

[0010] S4. User evaluation analysis: By obtaining the user evaluation analysis of various building materials suppliers, the user evaluation coefficient ρ of various building materials suppliers can be obtained. i .

[0011] S5. Regional applicability analysis: Obtain the regional climate applicability and regional environmental applicability of various building materials products, and then analyze and obtain the regional applicability evaluation coefficient χ of various building materials products i .

[0012] S6. Recommendation analysis of building materials products: Based on the similarity between the characteristics of various building materials products and the characteristics of user needs, the user evaluation coefficient of the supplier, and the regional applicability evaluation coefficient, the recommendation index of various building materials products is obtained.

[0013] S7. Price analysis: According to the maximum value corresponding to the user's budget range and the quotation analysis of various building materials products, the price impact of various building materials products is obtained, and then various preferred building materials products are screened out, and the recommendation index corresponding to each preferred building materials product is obtained, and then the various preferred building materials products are sorted and displayed to the user.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention obtains the similarity between the characteristics of various building materials products and the characteristics of user needs based on the characteristic parameters of various building materials products and the evaluation parameters of user needs characteristics, and can more accurately find building materials products that are highly similar to user needs, thereby reducing blindness and uncertainty in the selection process.

[0015] Second, the present invention obtains user evaluation coefficients of suppliers of various building materials products by obtaining user evaluation analysis of suppliers of various building materials products, which helps to make more wise choices among many suppliers.

[0016] 3. The present invention obtains the regional climate applicability and regional environmental applicability of various building materials products, and then analyzes and obtains the regional applicability evaluation coefficients of various building materials products, which can ensure that the building materials products play a better role under the climate and environmental conditions of a specific region and reduce problems caused by inadaptability.

[0017] 4. The present invention obtains the recommendation index of various building materials products through comprehensive analysis, and selects the preferred building materials products in combination with price analysis, so as to more accurately recommend building materials products that meet the actual needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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.

[0019] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0020] Figure 2 for Figure 1 Schematic diagram of the process of step S1 in FIG.

[0021] Figure 3 for Figure 1 Schematic diagram of the process of step S5. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides a method for intelligent procurement matching and recommendation of building materials, which includes the following steps: S1. Acquisition of building material product characteristics: Acquiring characteristic parameters of various types of building material products, the characteristic parameters including performance evaluation coefficient, environmental evaluation coefficient, and function evaluation coefficient.

[0024] See also Figure 2As shown, the specific analysis method for obtaining the characteristics of the building materials products is: the first step is to randomly sample various building materials products from various building materials products to obtain samples of various building materials products, and obtain the compressive strength of various building materials products; by obtaining the compressive strength, the quality status of the building materials products can be intuitively understood to ensure that they can withstand the corresponding pressure during use.

[0025] It should be noted that the specific analysis method of the compressive strength of the various building materials products is: divide the pressure levels according to the set pressure, apply pressure of each pressure level to each building material product in turn through the pressure testing machine until each building material product is destroyed, and record the pressure corresponding to the pressure level applied when each building material product is destroyed, which is recorded as P i , i represents the number of the i-th type of building materials product, i=1,2,...,n, substitute it into the formula Get the compressive strength Q of various building materials products i , P0 represents the set reference pressure; it is convenient for intuitive comparison of the compressive properties of different building materials products and provides a basis for material selection.

[0026] The second step is to place samples of various building materials products steadily on the hardness tester workbench, select the corresponding indenter according to the set hardness scale, measure the indentation depth of each hardness grade of each building material product, and calculate the hardness value of each building material product; it is convenient to compare the hardness of different building materials, which is conducive to material selection and optimization of product selection.

[0027] It should be noted that the specific analysis method of the hardness values ​​of the various building materials products is as follows: the samples of the various building materials products are stably placed on the hardness tester workbench, the corresponding indenter is selected according to the set hardness scale, the initial test force is applied to the various building materials products respectively, the indenter is pressed into the sample surface of the various building materials products, and the main test force is increased after the set time to make the indenter further pressed, and the main test force is removed after the set time, the indentation depth of the samples of the various building materials products is measured, and the hardness value of the various building materials products is obtained according to the set hardness scale and calculation formula, which is recorded as H. i ; It can fully understand the hardness characteristics of building materials and help screen out products with hardness that meets the requirements.

[0028] It should be noted that the hardness scale is a standard or system used to measure the hardness of materials. Common hardness scales include the Rockwell hardness scale, Brinell hardness scale, Vickers hardness scale, Leeb hardness scale, etc. Different hardness scales use different test principles, indenter types, test force sizes, etc., and are suitable for different types of materials and application scenarios to more accurately evaluate the hardness characteristics of the material.

[0029] It should be noted that the initial test force refers to the smaller force applied to the indenter at the beginning of the hardness test, and the main test force is the larger force applied after the initial test force. It is the main force in the hardness test and is used to make the indenter press deeper into the material being tested to obtain data that better reflects the hardness characteristics of the material.

[0030] In a specific embodiment, taking the Brinell hardness test as an example, for common steel materials, such as testing a medium carbon steel, a test force of 3000 kgf may be selected, and the carbide ball indenter is pressed into the material surface under the test force. After maintaining the test force for a certain period of time, the test force is removed, the indentation diameter is measured, and the Brinell hardness value is calculated using a specific formula.

[0031] In another specific embodiment, such as the Vickers hardness test, for certain metal materials with higher hardness, a test force of 10 kgf may be selected, and a regular tetrahedral diamond indenter may be used for testing, and then the hardness is calculated based on data such as the diagonal length of the indentation.

[0032] It should be noted that the specific analysis method for obtaining the hardness value according to the set hardness scale and calculation formula is: The formula for Rockwell hardness is Where k represents the natural constant, h is the indentation depth, and C is the specific hardness coefficient.

[0033] The formula for Brinell hardness is: Where F is the test force, D is the diameter of the indenter ball, d is the indentation diameter, and π represents pi.

[0034] The formula for Vickers hardness is: F is the test force and d is the average diagonal length of the indentation.

[0035] The third step is to obtain the performance evaluation coefficient of each type of building materials product based on the compressive strength and hardness value analysis of each type of building materials product; the key indicators such as compressive strength and hardness can be comprehensively evaluated to evaluate the performance of building materials products in a more objective and accurate manner, ensuring that the selected building materials can meet specific needs.

[0036] It should be noted that the specific analysis method of the performance evaluation coefficients of the various building materials products is: read the compressive strength Q of the various building materials products respectively. i , Hardness H i , put it into the formula Get the performance evaluation coefficient α of various building materials products i , where Q' and H' represent the standard values ​​of the set compressive strength and hardness respectively, and η1 and η2 represent the weighting factors of the set compressive strength and hardness respectively; this helps to ensure the quality and safety of construction projects, etc.

[0037] It should be noted that, in a specific embodiment, η1 can be set to 0.5, and η2 can be set to 0.5. Generally speaking, for structural building materials, such as concrete, steel, etc., compressive strength may be given a higher weight because it is directly related to the bearing capacity and safety of the building. Hardness is also important for some building materials that need to be wear-resistant or scratch-resistant. Therefore, the weights corresponding to compressive strength and hardness are equal.

[0038] The fourth step is to select some from various building materials products, crush them, record them as crushed samples of various building materials products, and obtain the environmental evaluation coefficient of various building materials products; this is conducive to reducing the use of environmentally unfriendly building materials and reducing potential pollution risks to the environment.

[0039] It should be noted that the specific analysis method of the environmental evaluation coefficients of the various types of building materials products is as follows: adding reagents to the crushed samples of various types of building materials products to dissolve them, and adding color developers to the dissolved crushed samples of various types of building materials products after a fixed period of time to form colored compounds of the crushed samples of various types of building materials products, reading the absorbance values ​​of the colored compounds of the crushed samples of various types of building materials products displayed on the instrument through a spectrophotometer, reading the set absorbance value-harmful substance concentration relationship curve from the management database, putting the absorbance values ​​of the colored compounds of the crushed samples of various types of building materials products into the curve for comparison to obtain the harmful substance concentrations corresponding to the absorbance values ​​of the colored compounds of the crushed samples of various types of building materials products, and recording them as the harmful substance concentrations of various types of building materials products. Substituting this into the formula Get the environmental evaluation coefficient β of various building materials products i , Indicates the hazardous substance concentration limit for building materials products set in air quality standards; helps ensure that the building materials products used do not release excessive amounts of hazardous substances, thereby protecting people's health and indoor air quality.

[0040] The fifth step is to obtain the fireproof and moisture-proof properties of various building materials. This helps ensure the safety of buildings in fire and other situations, reduce fire risks and losses, and understand the moisture-proof properties to ensure the service life and stability of building materials in humid environments.

[0041] It should be noted that the specific analysis method of the fireproof performance of the various building materials products is as follows: a plurality of reference lines are set on various building materials products according to the set distance, and various building materials products are ignited. The time point when the flame front reaches each reference line is recorded by an image recording device, and two adjacent reference lines are grouped as a group. The time point when the flame front reaches each group of reference lines is subtracted to obtain the flame propagation time interval between each group of reference lines, which is recorded as f represents the number of the fth group of reference lines, f = 1, 2, ..., l, and the set distance is recorded as d 火 , through the formula Get the flame propagation speed of various building materials products Then through the formula Get the fire resistance of various building materials products v' represents the set reference speed of flame propagation, and e represents a natural constant; it provides a reliable basis for selecting safer building materials for buildings and reduces fire risks.

[0042] It should be noted that the specific analysis method for the moisture-proof performance of the various types of building materials products is: acquiring images of various types of building materials products, recorded as initial images of various types of building materials products, immersing various types of building materials products in prepared containers and filling them with water, taking them out after soaking for a set time, acquiring images of various types of building materials products again, recorded as detection images of various types of building materials products, and detecting the chromaticity value of each pixel point in the initial images of various types of building materials products and the detection images of various types of building materials products, respectively, recorded as ο ix ,ο' ix , x represents the number of the x-th pixel, x=1,2,...,y, substitute it into the formula Get moisture-proof properties for all kinds of building materials y represents the number of pixels; it helps improve the reliability and durability of buildings in wet conditions.

[0043] The sixth step is to obtain the functional evaluation coefficient of various building materials products based on their fire resistance and moisture resistance analysis; taking into account both fire resistance and moisture resistance, effectively ensuring the safety and long-term performance of the building.

[0044] It should be noted that the specific analysis method of the functional evaluation coefficients of various building materials products is: reading the fire performance of various building materials products Moisture resistance By formula Get the functional evaluation coefficient γ of various building materials products i , κ1 and κ2 represent the weight factors of the set fire resistance and moisture resistance respectively; ensuring that the building materials used meet the functional requirements and improve the overall quality of the building.

[0045] S2. User demand characteristics analysis: obtain the user demand product performance evaluation level, environmental protection evaluation level, and functional evaluation level, and then obtain the maximum and minimum values ​​of the user demand characteristic evaluation parameters. The user demand characteristic evaluation parameters include the user demand performance evaluation coefficient, environmental protection evaluation coefficient, and functional evaluation coefficient.

[0046] The specific analysis method for the user demand feature analysis is: according to the threshold range set corresponding to each evaluation level, the building materials product performance evaluation level, environmental protection evaluation level, and function evaluation level of the user's demand are recorded as the user demand product performance evaluation level, environmental protection evaluation level, and function evaluation level respectively, and the maximum and minimum values ​​of the user demand product performance evaluation level, environmental protection evaluation level, and function evaluation level corresponding to the set threshold range are screened, and they are recorded as the maximum and minimum values ​​of the user demand performance evaluation coefficient, the maximum and minimum values ​​of the user demand environmental protection evaluation coefficient, and the maximum and minimum values ​​of the user demand function evaluation coefficient respectively; users can quickly determine the required evaluation level according to their own needs, save material selection time, accurately find the corresponding building materials product level, and achieve better matching.

[0047] S3. Similarity analysis: Based on the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user requirements, the similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user requirements, and the similarity between the function evaluation coefficients of various building materials products and the function evaluation coefficients of user requirements, the similarity δ between the characteristics of various building materials products and the characteristics of user requirements is obtained. i , i represents the serial number of the i-th category building materials product, i=1,2,...,n.

[0048] The specific analysis method of the similarity analysis is: reading the performance evaluation coefficients of various building materials products and the maximum value α of the user demand performance evaluation coefficient max , minimum value α min , substituting it into the formula Obtain the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user needs where α i represents the performance evaluation coefficient of the i-th type of building materials product, i represents the number of the i-th type of building materials product, i=1,2,...,n, according to the method of analyzing the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user requirements, the similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user requirements, and the similarity between the functional evaluation coefficients of various building materials products and the functional evaluation coefficients of user requirements are analyzed in turn, recorded as It can accurately determine the similarity between the performance of building materials products and user needs, making it easier to find products that best meet user needs.

[0049] The specific analysis method of the similarity between the characteristics of various building materials products and the characteristics of user needs is: respectively read the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user needs Similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user needs Similarity between the functional evaluation coefficients of various building materials products and the functional evaluation coefficients of user needs Substituting this into the formula Get the similarity δ between the characteristics of various building materials products and the characteristics of user needs i , φ1, φ2, and φ3 represent the weight factors of the set performance evaluation coefficient, environmental evaluation coefficient, and functional evaluation coefficient, respectively; this helps to more accurately find the building materials products that are closest to the user's comprehensive needs, increase the probability of users finding satisfactory products, and thus improve the overall user experience.

[0050] It should be noted that, in a specific embodiment, φ1 can be set to 0.4, φ2 can be set to 0.3, and φ3 can be set to 0.3. The performance of building materials is directly related to key aspects such as their use effect and durability, and is crucial to meeting the actual use needs of users. The weight of the environmental evaluation coefficient is also gradually becoming important. With the enhancement of people's environmental awareness, the attention to the environmental protection properties of building materials continues to increase, which will greatly affect the user's choice. Different users have different specific functional requirements for building materials. Whether the function meets the user's expectations will also affect the similarity judgment. Therefore, the weight corresponding to the performance evaluation coefficient is higher, and the weights corresponding to the environmental evaluation coefficient and the functional evaluation coefficient are equal.

[0051] S4. User evaluation analysis: By obtaining the user evaluation analysis of various building materials suppliers, the user evaluation coefficient ρ of various building materials suppliers can be obtained. i .

[0052] The specific analysis method of the user evaluation analysis is as follows: crawling the sales records of suppliers corresponding to various types of building materials products on various e-commerce platforms, and reading the user evaluations of various historical purchasing users therefrom, recording them as user evaluations of various types of building materials product suppliers, dividing the contents of user evaluations of various types of building materials product suppliers into words one by one, and filtering the corresponding stop words in each divided word, and then recording each filtered divided word as candidate keywords for user evaluations of various types of building materials product suppliers, extracting and using the sentiment word library from the management database, obtaining words with clear positive or negative sentiment tendencies in each candidate keyword for user evaluations of various types of building materials product suppliers through matching and screening, counting their number and recording them as the number of words with positive sentiment tendencies in user evaluations of various types of building materials product suppliers Number of words with negative sentiment m represents the number of the mth user, m=1,2,...,q, through the formula Get the user evaluation coefficient ρ of suppliers of various building materials products i , They represent the weight factors of the number of words with positive sentiment tendencies and the number of words with negative sentiment tendencies, and q represents the number of users. By crawling the sales records and user reviews of multiple platforms, we can have a more comprehensive grasp of the reputation of suppliers, help high-quality suppliers highlight their advantages, and promote healthy competition in the market.

[0053] It should be noted that in a specific embodiment, it can be set to 0.5, it can be set to 0.5. The number of extremely emotionally inclined words can better reflect the user's overall satisfaction and recognition of the supplier. However, the expression of negative emotions can also highlight existing problems and deficiencies, which is of great significance for comprehensively evaluating the supplier. Therefore, the weights corresponding to the number of positively emotionally inclined words and the number of negatively emotionally inclined words are equal.

[0054] It should be noted that the stop words refer to some words that are considered less important or have no practical meaning in text analysis in natural language processing. Common stop words include:

[0055] "of", "is", "in", "has", "and", "with", "also", "ah", "ya", "this", "that", etc. In the process of text processing, removing stop words can reduce the amount of data, highlight key information, and help improve the efficiency and accuracy of subsequent analysis and processing. However, sometimes it is necessary to treat them flexibly according to specific situations, because in some cases, stop words may also contain certain semantic information.

[0056] S5. Regional applicability analysis: Obtain the regional climate applicability and regional environmental applicability of various building materials products, and then analyze to obtain the regional applicability evaluation coefficient χ of various building materials products i .

[0057] Please refer to Figure 3 as shown. The specific analysis method of the regional applicability analysis is as follows: First step, obtain the climate characteristics of the user's location area, and screen to obtain the demand characteristics of building materials products corresponding to the climate characteristics of the user's location area, denoted as the building materials product climate demand characteristic parameters; ensure that the building materials products can play a better role under the local climate conditions, such as heat preservation, moisture prevention, etc.

[0058] It should be noted that the specific analysis method of the building materials product climate demand characteristic parameters is as follows: When the user's location area is a subtropical monsoon climate area, the climate characteristic is hot and humid in summer, so the climate demand characteristic parameters of building materials products are determined to be heat resistance. When the user's location area is a temperate continental climate area, it is cold and dry in winter, so the demand characteristic parameters of building materials products will focus on heat preservation performance.

[0059] Second step, detect the demand characteristic parameters of various building materials products; make the building materials products more accurately match the actual demand characteristics and improve the applicability.

[0060] It should be noted that the analysis method of each demand characteristic parameter of each type of building material product is as follows: when the climate demand characteristic parameter of the building material product is thermal insulation performance, the two sides of each type of building material product are recorded as the hot side and the cold side of each type of building material product, and temperature sensors are installed on the hot side and the cold side of each type of building material product, and the hot side of each type of building material product is heated by the heating equipment to reach the set temperature. Select a number of time points with equal time intervals, record them as temperature time points, and perform temperature detection on the cold surface of various building materials products at each temperature time point, record them as j represents the number of the jth temperature time point, j = 1, 2, ..., p, through the formula Get the thermal insulation performance of various building materials products i ; To provide unified standards and methods for evaluating the thermal insulation performance of different building materials products, so as to facilitate comparison and ensure that the thermal insulation performance of the selected building materials products meets the standards.

[0061] The third step is to obtain the regional climate applicability of various building materials products based on the demand characteristic parameters of various building materials products; make the building materials used in the building more suitable for the climate and ensure the safety and durability of the building.

[0062] It should be noted that the analysis method for the regional climate applicability of various building materials products is: read the thermal insulation performance of various building materials products i , through the formula Obtain the regional climate suitability of various building materials products It helps the construction industry to choose the most suitable building materials according to the climate of different regions and avoid unsuitable situations.

[0063] The fourth step is to test the air quality in the user's area, match the building materials product demand characteristics corresponding to the air quality in the user's area, and record them as environmental demand characteristic parameters of various building materials products; to ensure the health of residents and reduce potential health risks caused by poor air quality and inappropriate building materials selection.

[0064] It should be noted that the specific analysis method of the environmental parameters of the user's area is: obtain the user's area, connect to the local meteorological system, obtain the air quality of each time period within the set time range in the user's area, and obtain the average air quality A in the user's area by taking the average value, and compare it with the preset air quality threshold. If the average air quality in the user's area is greater than or equal to the preset air quality threshold, it means that the air quality in the area is good, and the value of each environmental demand characteristic parameter of each type of building materials product is recorded as 1. If the average air quality in the user's area is less than the preset air quality threshold, it means that the air quality in the area is poor, and the environmental demand characteristic parameters of each type of building materials product are determined as pollution resistance, and the pollution resistance value is tested.

[0065] The fifth step is to test the environmental demand characteristic parameters of various building materials products; so that the building materials products can be more accurately matched with actual environmental needs and improve applicability.

[0066] It should be noted that the specific analysis method for detecting the pollution resistance value is: apply an appropriate amount of pollutants evenly on various building materials products, let them stand for a set period of time, use a specific cleaning agent to clean the surface of various building materials products, detect the chromaticity value of the surface of various building materials products after cleaning, and analyze the pollution resistance of various building materials products according to the method of analyzing the moisture-proof performance of various building materials products, which is recorded as E i .

[0067] The sixth step is to analyze the regional environmental applicability of various building materials products based on the environmental demand characteristic parameters of various building materials products; to help consumers more accurately choose building materials products suitable for their regional environment and avoid inapplicable situations.

[0068] It should be noted that the specific analysis method for the regional environmental applicability of various building materials products is: read the pollution resistance E of various building materials products i , through the formula Obtain the regional environmental applicability of various building materials products e represents a natural constant.

[0069] The seventh step is to obtain the regional suitability evaluation coefficient of each type of building materials products based on the regional climate suitability and regional environmental suitability analysis of each type of building materials products; to ensure that the selected building materials can function stably in the regional environment and guarantee the quality of the building.

[0070] It should be noted that the specific analysis method of the regional applicability evaluation coefficients of the various types of building materials products is: read the regional climate applicability of various types of building materials products Regional environmental suitability By formula Get the regional applicability evaluation coefficient χ of various building materials products i , a1 and a2 represent the weight factors of the set regional climate suitability and regional environmental suitability respectively.

[0071] It should be noted that in a specific embodiment, a1 can be set to 0.5, a2 can be set to 0.5, and regional climate applicability is very important. Different climatic conditions will have a direct impact on the performance and durability of building materials. For example, some building materials may perform well in cold and dry areas, but may easily have problems in humid and hot areas. Regional environmental applicability is also critical. For example, areas close to the sea may have higher requirements for the corrosion resistance of building materials, and some special environments may have specific requirements for building materials. Therefore, the weights of regional climate applicability and regional environmental applicability are equal.

[0072] S6. Recommendation analysis of building materials products: Based on the similarity between the characteristics of various building materials products and the characteristics of user needs, the user evaluation coefficient of the supplier, and the regional applicability evaluation coefficient, the recommendation index of various building materials products is obtained.

[0073] The specific analysis method of the building material product recommendation analysis is: read the similarity δ between the characteristics of various building material products and the characteristics of user needs i , the supplier's user evaluation coefficient ρ i , regional applicability evaluation coefficient, and substitute it into the formula Get the recommended index of various building materials products w1, w2, and w3 represent the weight factors of the similarity between the characteristics of building materials products and the characteristics of user needs, the user evaluation coefficient, and the regional applicability evaluation coefficient, respectively. i It represents the regional applicability evaluation coefficient of the i-th category building materials product; it can more accurately recommend building materials products that meet the needs of users, thereby improving the accuracy and effectiveness of the recommendation.

[0074] It should be noted that, in a specific embodiment, w1 can be set to 0.5, w2 can be set to 0.3, and w3 can be set to 0.2. The weight of the similarity between building materials product features and user demand features can be relatively high, because only when product features are highly matched with user needs can they better meet the actual use requirements of users. This is one of the factors that most directly affect user decisions. The actual usage experience and evaluation of users can reflect the performance of the product in actual applications and have important reference value for other users. Although the regional applicability evaluation coefficient is also very important, relatively speaking, its scope of application may be limited to specific regions. It does not have a wider influence like the similarity between product features and user needs and user evaluations. Therefore, the weight corresponding to the similarity between building materials product features and user demand features is higher, and the weight corresponding to the regional applicability evaluation coefficient is lower.

[0075] S7. Price analysis: According to the maximum value corresponding to the user's budget range and the quotation analysis of various building materials products, the price impact of various building materials products is obtained, and then the preferred building materials products are screened out, and the recommendation index corresponding to each preferred building materials product is obtained. The indexes are sorted in descending order and displayed to the user.

[0076] The specific analysis method of the price analysis is: obtain the user's budget range, record the maximum value corresponding to the user's budget range as ξ max At the same time, the quotations provided by various building material suppliers are extracted from the management database, and the unit prices of various building material products are extracted from them. At the same time, the user selects the quantity of building material demand, which is recorded as the user demand quantity. The total demand price of various building material products is obtained by multiplying the unit price of various building material products and the user demand quantity, which is recorded as the quotation of various building material products. i , put it into the formula Get the price impact of various building materials products ψ i ; Ensure that the products recommended to users are within their budget to avoid users being unable to choose due to high prices.

[0077] The specific analysis method for sorting various types of preferred building materials products is as follows: the price impact degree of each type of building materials product is compared with the preset price impact degree threshold, and all building materials products whose price impact degree is less than or equal to the preset price impact degree threshold are screened out, and recorded as various types of preferred building materials products; the recommendation index of each type of building materials product is read, and the recommendation index corresponding to each type of preferred building materials product is screened out, and the recommended indexes are sorted in descending order and displayed to the user; through the sorting display, the user can clearly see the better products and optimize their selection process.

[0078] The present invention obtains the similarity between the characteristics of various building materials products and the characteristics of user demand based on the characteristic parameters of various building materials products and the evaluation parameters of user demand characteristics, obtains the user evaluation coefficient of the supplier of various building materials products by obtaining the evaluation of each user of the supplier of various building materials products, obtains the regional climate suitability and regional environmental suitability of various building materials products, and then analyzes to obtain the regional suitability evaluation coefficient of various building materials products, and then comprehensively analyzes to obtain the recommendation index of various building materials products, and combines price analysis to screen out various preferred building materials products, so as to more accurately recommend building materials products that meet the actual needs of users.

[0079] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A building materials intelligent procurement matching and recommendation method, characterized in that: The steps include: S1. Acquisition of building material product characteristics: Acquisition of characteristic parameters of various building material products, including performance evaluation coefficient, environmental evaluation coefficient, and function evaluation coefficient; S2. User demand characteristics analysis: obtain the user demand product performance evaluation level, environmental protection evaluation level, and function evaluation level, and then obtain the maximum and minimum values ​​of the user demand characteristic evaluation parameters. The user demand characteristic evaluation parameters include the user demand performance evaluation coefficient, environmental protection evaluation coefficient, and function evaluation coefficient; S3. Similarity analysis: Based on the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user requirements, the similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user requirements, and the similarity between the function evaluation coefficients of various building materials products and the function evaluation coefficients of user requirements, the similarity δ between the characteristics of various building materials products and the characteristics of user requirements is obtained. i , i represents the number of the i-th type of building materials product, i=1,2,...,n; S4. User evaluation analysis: By obtaining the user evaluation analysis of various building materials suppliers, the user evaluation coefficient ρ of various building materials suppliers can be obtained. i ; S5. Regional applicability analysis: Obtain the regional climate applicability and regional environmental applicability of various building materials products, and then analyze and obtain the regional applicability evaluation coefficient χ of various building materials products i ; S6. Recommendation analysis of building materials products: According to the similarity between the characteristics of various building materials products and the characteristics of user needs, the user evaluation coefficient of the supplier, and the regional applicability evaluation coefficient, the recommendation index of various building materials products is obtained; S7. Price analysis: According to the maximum value corresponding to the user's budget range and the quotation analysis of various building materials products, the price impact of various building materials products is obtained, and then various preferred building materials products are screened out, and the recommendation index corresponding to each preferred building materials product is obtained, and then the various preferred building materials products are sorted and displayed to the user.

2. The method for intelligent purchasing, matching and recommendation of building materials according to claim 1, characterized in that: The specific analysis method for obtaining the characteristics of the building materials products is as follows: The first step is to randomly sample various building materials products to obtain samples of various building materials products and obtain the compressive strength of various building materials products; The second step is to place the samples of various building materials products steadily on the hardness tester workbench, select the corresponding indenter according to the set hardness scale, measure the indentation depth of each hardness grade of various building materials products, and calculate the hardness value of various building materials products; The third step is to obtain the performance evaluation coefficient of various building materials products according to the compressive strength and hardness values ​​of various building materials products; The fourth step is to select parts from various building materials products, crush them, record them as crushed samples of various building materials products, and obtain environmental evaluation coefficients of various building materials products; The fifth step is to obtain the fire resistance and moisture resistance of various building materials products; The sixth step is to obtain the functional evaluation coefficient of each type of building materials products based on the fire resistance and moisture resistance performance analysis of each type of building materials products.

3. The method for intelligent purchasing, matching and recommendation of building materials according to claim 2, characterized in that: The specific analysis method of the user demand feature analysis is: According to the set threshold range corresponding to each evaluation level, the building materials product performance evaluation level, environmental protection evaluation level, and functional evaluation level required by users are respectively recorded as user required product performance evaluation level, environmental protection evaluation level, and functional evaluation level, and the maximum and minimum values ​​of the user required product performance evaluation level, environmental protection evaluation level, and functional evaluation level corresponding to the set threshold range are screened and recorded as the maximum and minimum values ​​of the user required performance evaluation coefficient, the maximum and minimum values ​​of the user required environmental protection evaluation coefficient, and the maximum and minimum values ​​of the user required functional evaluation coefficient.

4. The method for intelligent purchasing, matching and recommendation of building materials according to claim 3 is characterized by: The specific analysis method of the similarity analysis is: Read the performance evaluation coefficients of various building materials products and the maximum value α of the user demand performance evaluation coefficient max , minimum value α min , substituting it into the formula Obtain the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user needs where α i represents the performance evaluation coefficient of the i-th type of building materials product, i represents the number of the i-th type of building materials product, i=1,2,...,n, according to the method of analyzing the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user requirements, the similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user requirements, and the similarity between the functional evaluation coefficients of various building materials products and the functional evaluation coefficients of user requirements are analyzed in turn, recorded as 5. The method for intelligent purchasing, matching and recommendation of building materials according to claim 4, characterized in that: The specific analysis method of the similarity between the characteristics of various building materials products and the characteristics of user needs is as follows: Read the similarity between the performance evaluation coefficients of various building materials products and the performance evaluation coefficients of user needs respectively Similarity between the environmental evaluation coefficients of various building materials products and the environmental evaluation coefficients of user needs Similarity between the functional evaluation coefficients of various building materials products and the functional evaluation coefficients of user needs Substituting this into the formula Get the similarity δ between the characteristics of various building materials products and the characteristics of user needs i , φ1, φ2, and φ3 represent the weight factors of the set performance evaluation coefficient, environmental evaluation coefficient, and function evaluation coefficient, respectively.

6. The method for intelligent purchasing, matching and recommendation of building materials according to claim 1, characterized in that: The specific analysis method of the user evaluation analysis is as follows: The sales records of suppliers corresponding to various types of building materials products in various e-commerce platforms are crawled, and the user evaluations of various historical purchasing users are read from them, which are recorded as user evaluations of various types of building materials product suppliers. The contents of user evaluations of various types of building materials product suppliers are divided into words one by one, and the corresponding stop words in each divided word are filtered, and then the filtered divided words are recorded as candidate keywords for user evaluations of various types of building materials product suppliers. The sentiment word library is extracted from the management database, and words with clear positive or negative sentiment tendencies in each candidate keyword of user evaluations of various types of building materials product suppliers are obtained through matching and screening. The number of words is counted and recorded as the number of words with positive sentiment tendencies in user evaluations of various types of building materials product suppliers. Number of words with negative sentiment m represents the number of the mth user, m=1,2,...,q, through the formula Get the user evaluation coefficient ρ of suppliers of various building materials products i , They represent the weight factors of the number of words with positive sentiment tendency and the number of words with negative sentiment tendency respectively, and q represents the number of users.

7. The method for intelligent purchasing, matching and recommendation of building materials according to claim 1, characterized in that: The specific analysis method for the regional applicability analysis is as follows: The first step is to obtain the climate characteristics of the user's area, and filter out the building material product demand characteristics corresponding to the climate characteristics of the user's area, which are recorded as building material product climate demand characteristic parameters; The second step is to test the demand characteristic parameters of various building materials products; The third step is to analyze the regional climate applicability of various building materials products based on the demand characteristic parameters of various building materials products; The fourth step is to detect the air quality in the user's area, match the building material product demand characteristics corresponding to the air quality in the user's area, and record them as the environmental demand characteristic parameters of various building material products; The fifth step is to test the environmental demand characteristic parameters of various building materials products; Step 6: Analyze the regional environmental applicability of various building materials products based on the environmental demand characteristic parameters of various building materials products; The seventh step is to obtain the regional applicability evaluation coefficient of each type of building materials product based on the regional climate applicability and regional environmental applicability of each type of building materials product.

8. The method for intelligent purchasing, matching and recommendation of building materials according to claim 1, characterized in that: The specific analysis method for the recommended analysis of building materials products is as follows: Read the similarity δ between the characteristics of various building materials products and the characteristics of user needs i , the supplier's user evaluation coefficient ρ i , regional applicability evaluation coefficient, and substitute it into the formula Get the recommended index of various building materials products w1, w2, and w3 represent the weight factors of the similarity between the characteristics of building materials products and the characteristics of user needs, the user evaluation coefficient, and the regional applicability evaluation coefficient, respectively. i It represents the regional applicability evaluation coefficient of the i-th category building materials product.

9. The method for intelligent purchasing, matching and recommendation of building materials according to claim 8, characterized in that: The specific analysis method of the price analysis is as follows: Get the user's budget range and record the maximum value corresponding to the user's budget range as ξ max At the same time, the quotations provided by various building material suppliers are extracted from the management database, and the unit prices of various building material products are extracted from them. At the same time, the user selects the quantity of building material demand, which is recorded as the user demand quantity. The total demand price of various building material products is obtained by multiplying the unit price of various building material products and the user demand quantity, which is recorded as the quotation of various building material products. i , put it into the formula Get the price impact of various building materials products ψ i .

10. The method for intelligent purchasing, matching and recommendation of building materials according to claim 9, characterized in that: The specific analysis method for ranking various types of preferred building materials products is: The price impact degree of each type of building material product is compared with the preset price impact degree threshold, and all building material products whose price impact degree is less than or equal to the preset price impact degree threshold are screened out and recorded as various types of preferred building material products. The recommendation index of each type of building material product is read, and the recommendation index corresponding to each type of preferred building material product is screened out, and they are sorted in order from large to small and displayed to the user.

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