技术领域Technical Field
本发明涉及在线交易平台领域，具体为一种建材平台报价大数据分析比价系统。The present invention relates to the field of online trading platforms, and in particular to a building materials platform quotation big data analysis and comparison system.
背景技术Background Art
建材是土木工程和建筑工程中使用的材料的统称。可分为结构材料、装饰材料和某些专用材料。结构材料包括木材、竹材、石材、水泥、混凝土、金属、砖瓦、陶瓷、玻璃、工程塑料、复合材料等；装饰材料包括各种涂料、油漆、镀层、贴面、各色瓷砖、具有特殊效果的玻璃等；专用材料指用于防水、防潮、防腐、防火、阻燃、隔音、隔热、保温、密封等。Building materials are a general term for materials used in civil engineering and construction engineering. They can be divided into structural materials, decorative materials and some special materials. Structural materials include wood, bamboo, stone, cement, concrete, metal, bricks and tiles, ceramics, glass, engineering plastics, composite materials, etc. Decorative materials include various coatings, paints, coatings, veneers, various colored tiles, glass with special effects, etc. Special materials refer to materials used for waterproofing, moisture-proofing, anti-corrosion, fireproofing, flame retardancy, sound insulation, heat insulation, thermal insulation, sealing, etc.
传统的建材交易市场存在信息不对称、价格不透明等问题，导致甲方购买者难以获取最优报价，乙方销售者难以有效展示其竞争力，信息更新滞后，比价困难。此外，缺乏有效的数据分析工具，使得甲方在购买建材时无法全面了解市场行情，乙方也难以根据市场需求调整报价策略。The traditional building materials trading market has problems such as information asymmetry and price opacity, which makes it difficult for Party A buyers to obtain the best quotes, Party B sellers to effectively demonstrate their competitiveness, information updates lag, and price comparisons are difficult. In addition, the lack of effective data analysis tools makes it difficult for Party A to fully understand the market situation when purchasing building materials, and it is difficult for Party B to adjust its quotation strategy according to market demand.
发明内容Summary of the invention
本发明的目的在于提供一种建材平台报价大数据分析比价系统，以解决上述背景技术中提出的上述问题。The purpose of the present invention is to provide a building materials platform quotation big data analysis and comparison system to solve the above problems raised in the above background technology.
为实现上述目的，本发明提供如下技术方案：一种建材平台报价大数据分析比价系统，包括用户模块、用户界面模块、实时报价更新模块、数据分析引擎模块、交易匹配模块、交易完成模块和交易记录存储模块；To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a building materials platform quotation big data analysis and comparison system, comprising a user module, a user interface module, a real-time quotation update module, a data analysis engine module, a transaction matching module, a transaction completion module and a transaction record storage module;
所述用户模块具有唯一的标识标签，所述用户模块用于提供给用户进行交易操作的权限并在交易操作时进行多次身份验证操作得到验证信息；The user module has a unique identification tag, and is used to provide the user with the authority to perform transaction operations and to perform multiple identity authentication operations during transaction operations to obtain verification information;
所述用户界面模块用于给用户模块提供进行交易操作的用户操作界面；The user interface module is used to provide the user module with a user operation interface for performing transaction operations;
所述实时报价更新模块用于从多个供应商获取最新的建材报价以及对应的建材商品数据信息并导入建材交易平台；The real-time quotation updating module is used to obtain the latest building material quotations and corresponding building material commodity data information from multiple suppliers and import them into the building material trading platform;
所述数据分析引擎模块利用机器学习算法对收集到的建材报价、建材商品数据信息以及历史交易记录数据进行分析，预测价格趋势，生成价格趋势预测图和市场分析报告；The data analysis engine module uses a machine learning algorithm to analyze the collected building materials quotations, building materials commodity data information, and historical transaction record data, predict price trends, and generate price trend prediction graphs and market analysis reports;
所述交易匹配模块根据甲方购买者的需求和乙方销售者的报价进行比价，得到最优报价；The transaction matching module compares the demand of the buyer of Party A with the quotation of the seller of Party B to obtain the best quotation;
所述交易完成模块用于甲方购买者和乙方销售者完成交易，所述甲方购买者和乙方销售者通过用户操作界面完成交易；The transaction completion module is used for Party A buyer and Party B seller to complete the transaction, and the Party A buyer and Party B seller complete the transaction through the user operation interface;
所述交易记录存储模块存储所有的交易记录，为数据分析引擎模块提供数据源，所述交易记录存储模块集成在数据库中。The transaction record storage module stores all transaction records and provides a data source for the data analysis engine module. The transaction record storage module is integrated in the database.
优选的，所述认证模块通过认证发送的凭证信息进行交易的确认，完成交易后将交易信息发送至交易记录存储模块和云端储存模块。Preferably, the authentication module confirms the transaction through the credential information sent by the authentication, and sends the transaction information to the transaction record storage module and the cloud storage module after the transaction is completed.
优选的，所述实时报价更新模块包括爬取模块和数据导入模块，所述爬取模块定时从多个供应商爬取最新的建材商品数据信息及对应建材报价；所述数据导入模块将爬取下来的原始建材商品数据信息及对应建材报价入库，加载到建材交易平台，并按照交易完成量对爬取的建材商品数据信息进行清洗、整合，去除无效和不合规数据，得到最新的建材报价以及对应的建材商品数据信息。Preferably, the real-time quotation update module includes a crawling module and a data import module, the crawling module regularly crawls the latest building materials commodity data information and corresponding building materials quotations from multiple suppliers; the data import module stores the crawled original building materials commodity data information and corresponding building materials quotations, loads them into the building materials trading platform, and cleans and integrates the crawled building materials commodity data information according to the transaction completion volume, removes invalid and non-compliant data, and obtains the latest building materials quotations and corresponding building materials commodity data information.
优选的，所述爬取模块爬取的建材商品数据信息包括建材商品名称、建材商品参数信息、建材商品外观图片、商家名称、好评率、评价人数、交易完成量。Preferably, the building materials commodity data information crawled by the crawling module includes the building materials commodity name, building materials commodity parameter information, building materials commodity appearance pictures, merchant name, favorable review rate, number of evaluators, and transaction completion volume.
优选的，所述数据分析引擎模块包括数据提取模块、预处理模块、模型训练模块、价格趋势预测模块，所述数据提取模块将交易记录存储模块中第一设定时间到第二设定时间内的交易记录进行提取，作为样本数据，所述预处理模块将样本数据进行清洗，并将清洗后的样本数据进行归一化处理，通过对归一化处理的数据进行分类后，得到模型训练数据，所述模型训练模块通过模型训练数据训练LSTM-RNN模型，优化算法采用Adam算法，将测试数据输入LSTM-RNN模型中，将LSTM-RNN模型的预测数据与测试数据进行对比，验证LSTM-RNN模型的价格预测趋势正确率，当达到设定的阈值时，完成LSTM-RNN模型的训练，得到训练好的LSTM-RNN模型，所述价格趋势预测模块基于训练好的LSTM-RNN模型对预测价格趋势进行预测。Preferably, the data analysis engine module includes a data extraction module, a preprocessing module, a model training module, and a price trend prediction module. The data extraction module extracts the transaction records from the first set time to the second set time in the transaction record storage module as sample data. The preprocessing module cleans the sample data and normalizes the cleaned sample data. After classifying the normalized data, model training data is obtained. The model training module trains the LSTM-RNN model with the model training data. The optimization algorithm adopts the Adam algorithm. The test data is input into the LSTM-RNN model. The predicted data of the LSTM-RNN model is compared with the test data to verify the accuracy of the price prediction trend of the LSTM-RNN model. When the set threshold is reached, the training of the LSTM-RNN model is completed to obtain the trained LSTM-RNN model. The price trend prediction module predicts the price trend based on the trained LSTM-RNN model.
优选的，所述第一设定时间到第二设定时间构成时间段，且第一设定时间位于第二设定时间前，所述第一设定时间到第二设定时间构成时间段时长大于三天，所述第二设定时间到实时最新时间的时间间隔大于一天，所述测试数据为第二设定时间到实时最新时间的交易记录。Preferably, the first set time to the second set time constitutes a time period, and the first set time is before the second set time, the time period constituted by the first set time to the second set time is greater than three days, the time interval from the second set time to the real-time latest time is greater than one day, and the test data is the transaction record from the second set time to the real-time latest time.
优选的，所述数据分析引擎模块还包括价格趋势预测图构建模块和市场分析报告模块，所述价格趋势预测图构建模块根据价格趋势预测模块的预测结果生成价格趋势预测图，所述市场分析报告模块根据价格趋势预测模块的预测结果生成市场分析报告。Preferably, the data analysis engine module also includes a price trend prediction graph construction module and a market analysis report module, wherein the price trend prediction graph construction module generates a price trend prediction graph according to the prediction results of the price trend prediction module, and the market analysis report module generates a market analysis report according to the prediction results of the price trend prediction module.
优选的，所述乙方销售者的报价通过用户操作界面提交，所述报价信息储存在数据库中，所述甲方购买者的购买需求通过用户操作界面提交并储存在数据库中，且通过输入购买需求触发交易匹配模块进行比价，得到最优报价。Preferably, the quotation of the seller of Party B is submitted through the user operation interface, and the quotation information is stored in the database. The purchase demand of the buyer of Party A is submitted through the user operation interface and stored in the database, and the transaction matching module is triggered by inputting the purchase demand to compare prices and obtain the best quotation.
优选的，所述交易匹配模块通过甲方购买者的需求确定所需建材种类，通过对建材交易平台中的该种类建材进行筛选，按照价格由低到高的顺利排列，生成最优报价，通过对好评率、评价人数、交易完成量进行优先显示。Preferably, the transaction matching module determines the types of building materials required by the needs of Party A purchasers, screens the building materials of this type on the building materials trading platform, arranges them smoothly from low to high in price, generates the best quotation, and gives priority to displaying the praise rate, number of evaluators, and transaction completion volume.
与现有技术相比，本发明的有益效果是：Compared with the prior art, the present invention has the following beneficial effects:
1)本发明中，通过实时报价更新模块从多个供应商获取最新的建材报价以及对应的建材商品数据信息并导入建材交易平台，数据分析引擎模块对收集到的建材报价、建材商品数据信息以及历史交易记录数据进行分析，预测价格趋势，生成价格趋势预测图和市场分析报告，交易匹配模块根据甲方购买者的需求和乙方销售者的报价进行比价，得到最优报价，从而为甲方提供最优报价，同时帮助乙方根据市场趋势调整报价策略，促进建材市场的健康发展；1) In the present invention, the latest building material quotations and corresponding building material commodity data information are obtained from multiple suppliers through the real-time quotation update module and imported into the building material trading platform. The data analysis engine module analyzes the collected building material quotations, building material commodity data information and historical transaction record data, predicts price trends, generates price trend prediction charts and market analysis reports, and the transaction matching module compares the demand of Party A's buyers with the quotations of Party B's sellers to obtain the best quotation, thereby providing the best quotation for Party A and helping Party B adjust the quotation strategy according to market trends to promote the healthy development of the building materials market;
2)本发明提供了一个实时更新的建材报价交易平台，解决了信息滞后的问题，为甲方提供全面的市场信息，帮助其做出更明智的购买决策，为乙方提供了市场趋势分析，帮助其制定更有竞争力的报价策略，为市场参与者提供决策支持，提高了交易的透明度和效率。2) The present invention provides a real-time updated building materials quotation and trading platform, which solves the problem of information lag, provides Party A with comprehensive market information to help it make more informed purchasing decisions, provides Party B with market trend analysis to help it formulate more competitive quotation strategies, provides decision-making support for market participants, and improves the transparency and efficiency of transactions.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本发明逻辑框图。FIG1 is a logic block diagram of the present invention.
图中：1、用户模块；2、用户界面模块；3、实时报价更新模块；4、数据分析引擎模块；5、交易匹配模块；6、交易完成模块；7、交易记录存储模块。In the figure: 1. User module; 2. User interface module; 3. Real-time quotation update module; 4. Data analysis engine module; 5. Transaction matching module; 6. Transaction completion module; 7. Transaction record storage module.
具体实施方式DETAILED DESCRIPTION
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。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.
在本发明的描述中，需要说明的是，术语“上”、“下”、“内”、“外”、“顶/底端”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本发明和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本发明的限制。此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性。In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.
在本发明的描述中，需要说明的是，除非另有明确的规定和限定，术语“安装”、“设置有”、“套设/接”、“连接”等，应做广义理解，例如“连接”，可以是固定连接，也可以是可拆卸连接，或一体地连接；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通。对于本领域的普通技术人员而言，可以具体情况理解上述术语在本发明中的具体含义。In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "mounted/connected", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
实施例：Example:
请参阅图1，本发明提供一种技术方案：一种建材平台报价大数据分析比价系统，包括用户模块1、用户界面模块2、实时报价更新模块3、数据分析引擎模块4、交易匹配模块5、交易完成模块6和交易记录存储模块7；Please refer to FIG1 , the present invention provides a technical solution: a building materials platform quotation big data analysis and comparison system, comprising a user module 1, a user interface module 2, a real-time quotation update module 3, a data analysis engine module 4, a transaction matching module 5, a transaction completion module 6 and a transaction record storage module 7;
用户模块1具有唯一的标识标签，用户模块1用于提供给用户进行交易操作的权限并在交易操作时进行多次身份验证操作得到验证信息，用户模块1通过账户+密码的方式进行登录，账户为手机号，注册时，通过输入手机号及对应验证码进行登录；The user module 1 has a unique identification tag. The user module 1 is used to provide the user with the authority to perform transaction operations and to perform multiple identity authentication operations to obtain verification information during transaction operations. The user module 1 logs in through the account + password method. The account is the mobile phone number. When registering, the user logs in by entering the mobile phone number and the corresponding verification code;
用户界面模块2用于给用户模块1提供进行交易操作的用户操作界面，用户界面模块2通过手机端或PC端进行显示；The user interface module 2 is used to provide the user module 1 with a user operation interface for performing transaction operations, and the user interface module 2 is displayed through a mobile phone or a PC;
实时报价更新模块3用于从多个供应商获取最新的建材报价以及对应的建材商品数据信息并导入建材交易平台；The real-time quotation updating module 3 is used to obtain the latest building material quotations and corresponding building material commodity data information from multiple suppliers and import them into the building material trading platform;
数据分析引擎模块4利用机器学习算法对收集到的建材报价、建材商品数据信息以及历史交易记录数据进行分析，预测价格趋势，生成价格趋势预测图和市场分析报告；通过预测价格趋势能够帮助乙方销售者制定更有竞争力的报价策略，避免报价过高导致没有销量，或报价过低导致降低收入；The data analysis engine module 4 uses machine learning algorithms to analyze the collected building material quotations, building material commodity data information, and historical transaction record data, predict price trends, and generate price trend prediction charts and market analysis reports; by predicting price trends, it can help Party B sellers formulate more competitive quotation strategies to avoid quoting too high and resulting in no sales, or quoting too low and resulting in reduced income;
交易匹配模块5根据甲方购买者的需求和乙方销售者的报价进行比价，得到最优报价；The transaction matching module 5 compares the price of the buyer of Party A with the price of the seller of Party B to obtain the best price;
交易完成模块6用于甲方购买者和乙方销售者完成交易，甲方购买者和乙方销售者通过用户操作界面完成交易；The transaction completion module 6 is used for Party A buyer and Party B seller to complete the transaction. Party A buyer and Party B seller complete the transaction through the user operation interface;
交易记录存储模块7存储所有的交易记录，为数据分析引擎模块4提供数据源，交易记录存储模块7集成在数据库中。The transaction record storage module 7 stores all transaction records and provides a data source for the data analysis engine module 4. The transaction record storage module 7 is integrated in the database.
认证模块通过认证发送的凭证信息进行交易的确认，凭证信息通过手机进行发送，完成交易后将交易信息发送至交易记录存储模块7和云端储存模块。The authentication module confirms the transaction through the credential information sent by the authentication, and the credential information is sent through the mobile phone. After the transaction is completed, the transaction information is sent to the transaction record storage module 7 and the cloud storage module.
实时报价更新模块3包括爬取模块和数据导入模块，爬取模块定时从多个供应商爬取最新的建材商品数据信息及对应建材报价；数据导入模块将爬取下来的原始建材商品数据信息及对应建材报价入库，加载到建材交易平台，并按照交易完成量对爬取的建材商品数据信息进行清洗、整合，去除无效和不合规数据，避免意外数据干扰导致降低数据的可靠性，得到最新的建材报价以及对应的建材商品数据信息。The real-time quotation update module 3 includes a crawling module and a data import module. The crawling module regularly crawls the latest building materials commodity data information and corresponding building materials quotations from multiple suppliers; the data import module stores the crawled original building materials commodity data information and corresponding building materials quotations, loads them into the building materials trading platform, and cleans and integrates the crawled building materials commodity data information according to the transaction completion volume, removes invalid and non-compliant data, avoids unexpected data interference and reduces data reliability, and obtains the latest building materials quotations and corresponding building materials commodity data information.
爬取模块爬取的建材商品数据信息包括建材商品名称、建材商品参数信息、建材商品外观图片、商家名称、好评率、评价人数、交易完成量。The building materials product data information crawled by the crawling module includes the building materials product name, building materials product parameter information, building materials product appearance pictures, merchant name, praise rate, number of evaluators, and transaction completion volume.
数据分析引擎模块4包括数据提取模块、预处理模块、模型训练模块、价格趋势预测模块，数据提取模块将交易记录存储模块7中第一设定时间到第二设定时间内的交易记录进行提取，作为样本数据，预处理模块将样本数据进行清洗，并将清洗后的样本数据进行归一化处理，通过对归一化处理的数据进行分类后，得到模型训练数据，模型训练模块通过模型训练数据训练LSTM-RNN模型，优化算法采用Adam算法，将测试数据输入LSTM-RNN模型中，将LSTM-RNN模型的预测数据与测试数据进行对比，验证LSTM-RNN模型的价格预测趋势正确率，当达到设定的阈值时，完成LSTM-RNN模型的训练，得到训练好的LSTM-RNN模型，价格趋势预测模块基于训练好的LSTM-RNN模型对预测价格趋势进行预测。The data analysis engine module 4 includes a data extraction module, a preprocessing module, a model training module, and a price trend prediction module. The data extraction module extracts the transaction records from the first set time to the second set time in the transaction record storage module 7 as sample data. The preprocessing module cleans the sample data and normalizes the cleaned sample data. After classifying the normalized data, the model training data is obtained. The model training module trains the LSTM-RNN model through the model training data. The optimization algorithm adopts the Adam algorithm. The test data is input into the LSTM-RNN model, and the predicted data of the LSTM-RNN model is compared with the test data to verify the accuracy of the price prediction trend of the LSTM-RNN model. When the set threshold is reached, the training of the LSTM-RNN model is completed to obtain the trained LSTM-RNN model. The price trend prediction module predicts the price trend based on the trained LSTM-RNN model.
第一设定时间到第二设定时间构成时间段，且第一设定时间位于第二设定时间前，第一设定时间到第二设定时间构成时间段时长大于三天，第二设定时间到实时最新时间的时间间隔大于一天，测试数据为第二设定时间到实时最新时间的交易记录。The first set time to the second set time constitutes a time period, and the first set time is before the second set time. The length of the time period from the first set time to the second set time is greater than three days, and the time interval from the second set time to the real-time latest time is greater than one day. The test data is the transaction record from the second set time to the real-time latest time.
数据分析引擎模块4还包括价格趋势预测图构建模块和市场分析报告模块，价格趋势预测图构建模块根据价格趋势预测模块的预测结果生成价格趋势预测图，市场分析报告模块根据价格趋势预测模块的预测结果生成市场分析报告，市场分析报告对价格趋势进行报告。The data analysis engine module 4 also includes a price trend prediction graph construction module and a market analysis report module. The price trend prediction graph construction module generates a price trend prediction graph according to the prediction results of the price trend prediction module. The market analysis report module generates a market analysis report according to the prediction results of the price trend prediction module. The market analysis report reports on price trends.
乙方销售者的报价通过用户操作界面提交，报价信息储存在数据库中，甲方购买者的购买需求通过用户操作界面提交并储存在数据库中，且通过输入购买需求触发交易匹配模块5进行比价，得到最优报价。The quotation of the seller of Party B is submitted through the user operation interface, and the quotation information is stored in the database. The purchase demand of the buyer of Party A is submitted through the user operation interface and stored in the database, and the transaction matching module 5 is triggered by inputting the purchase demand to compare prices and obtain the best quotation.
交易匹配模块5通过甲方购买者的需求确定所需建材种类，通过对建材交易平台中的该种类建材进行筛选，按照价格由低到高的顺利排列，生成最优报价，通过对好评率、评价人数、交易完成量进行优先显示。The transaction matching module 5 determines the types of building materials required by the Party A purchaser according to the needs of the Party A purchaser, screens the building materials of this type in the building materials trading platform, arranges them smoothly from low to high in terms of price, generates the best quotation, and gives priority to displaying the favorable comment rate, number of evaluators, and transaction completion volume.
工作原理：通过实时报价更新模块3从多个供应商获取最新的建材报价以及对应的建材商品数据信息并导入建材交易平台，数据分析引擎模块4对收集到的建材报价、建材商品数据信息以及历史交易记录数据进行分析，预测价格趋势，生成价格趋势预测图和市场分析报告，交易匹配模块5根据甲方购买者的需求和乙方销售者的报价进行比价，得到最优报价，从而为甲方提供最优报价，同时帮助乙方根据市场趋势调整报价策略，促进建材市场的健康发展，提供了一个实时更新的建材报价交易平台，解决了信息滞后的问题，为甲方提供全面的市场信息，帮助其做出更明智的购买决策，为乙方提供了市场趋势分析，帮助其制定更有竞争力的报价策略，为市场参与者提供决策支持，提高了交易的透明度和效率。Working principle: The real-time quotation update module 3 obtains the latest building materials quotations and corresponding building materials commodity data information from multiple suppliers and imports them into the building materials trading platform. The data analysis engine module 4 analyzes the collected building materials quotations, building materials commodity data information and historical transaction record data, predicts price trends, and generates price trend forecast charts and market analysis reports. The transaction matching module 5 compares the needs of Party A's buyers with the quotations of Party B's sellers to obtain the best quotation, thereby providing Party A with the best quotation and helping Party B adjust its quotation strategy according to market trends to promote the healthy development of the building materials market. It provides a real-time updated building materials quotation trading platform, solves the problem of information lag, provides Party A with comprehensive market information to help it make more informed purchasing decisions, provides Party B with market trend analysis to help it formulate a more competitive quotation strategy, provides decision-making support for market participants, and improves the transparency and efficiency of transactions.
以上显示和描述了本发明的基本原理和主要特征和本发明的优点,对于本领域技术人员而言，显然本发明不限于上述示范性实施例的细节，而且在不背离本发明的精神或基本特征的情况下，能够以其他的具体形式实现本发明；因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本发明的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化囊括在本发明内，不应将权利要求中的任何附图标记视为限制所涉及的权利要求。The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention; therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the attached claims rather than the above description. Therefore, it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the present invention, and any figure marks in the claims should not be regarded as limiting the claims involved.
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同物限定。Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
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| CN202410638680.3ACN118608226A (en) | 2024-05-22 | 2024-05-22 | A price comparison system for building materials platform quotation big data analysis |
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| CN202410638680.3ACN118608226A (en) | 2024-05-22 | 2024-05-22 | A price comparison system for building materials platform quotation big data analysis |
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