技术领域technical field
本发明公开一种电商征税管理方法，属于数据管理领域，具体地说是一种基于互联网、大数据的电商征税管理方法。The invention discloses an e-commerce tax collection management method, which belongs to the field of data management, and specifically relates to an e-commerce tax collection management method based on the Internet and big data.
背景技术Background technique
电子商务，即EB（ElectronicBuisiness）或EC（ElectronicCommerce），是在Internet开放的网络环境下，基于浏览器/服务器应用方式，实现消费者的网上购物、商户之间的网上交易和在线电子支付的一种新型的商业运营模式。电子商务是Internet爆炸式发展的直接产物，是网络技术应用的全新发展方向。Internet本身所具有的开放性、全球性、低成本、高效率的特点，也成为电子商务的内在特征，并使得电子商务大大超越了作为一种新的贸易形式所具有的价值，它不仅会改变企业本身的生产、经营、管理活动，而且将影响到整个社会的经济运行与结构。Internet上的电子商务可以分为三个方面：信息服务、交易和支付。主要交易类型有企业与消费者的交易和企业之间的交易两种。参与电子商务的实体有四类：顾客，即个人消费者或企业集团、商户，包括销售商、制造商、储运商、银行，包括发卡行、收单行及认证中心。当今社会，随着互联网在全球范围内得到普及，电子商务这种无纸化、虚拟化、无限制的网络交易手段也在21世纪的信息革命中迅速发展。电子商务作为一种新型的商业运营模式，在促进经济发展，拓展税源的同时，其本身具有的交易双方的隐蔽性、交易地点的不确定性以及交易对象的复杂性等特征，也为我国现行的税收制度带来许多难题。随着电商每年的交易金额不断增加，相应的缴纳税款的问题就浮出水面，对电子商务的税收问题，目前还没有完善的办法对电商进行征税，而本发明提供一种基于互联网、大数据的电商征税管理方法，基于互联网，利用大数据技术，通过对电商数据的采集，管理，反馈，形成电商征税管理方法，有助于电商征税的管理，为逐步完善的电商征税提供依据和先行参考。E-commerce, that is, EB (ElectronicBuisiness) or EC (ElectronicCommerce), is an open network environment based on the browser/server application, which realizes online shopping of consumers, online transactions between merchants and online electronic payment. A new business model. E-commerce is a direct product of the explosive development of the Internet and a new development direction of network technology applications. The characteristics of openness, globalization, low cost and high efficiency of the Internet itself have also become the inherent characteristics of e-commerce, and make e-commerce greatly surpass the value of a new form of trade. It will not only change The production, operation and management activities of the enterprise itself will affect the economic operation and structure of the whole society. E-commerce on the Internet can be divided into three aspects: information service, transaction and payment. The main types of transactions are business-to-consumer transactions and business-to-business transactions. There are four types of entities participating in e-commerce: customers, that is, individual consumers or business groups, merchants, including sellers, manufacturers, storage and transportation providers, banks, including card issuing banks, acquiring banks, and certification centers. In today's society, with the popularity of the Internet on a global scale, e-commerce, a paperless, virtual, and unlimited means of network transactions, is also developing rapidly in the information revolution of the 21st century. As a new type of business operation mode, e-commerce, while promoting economic development and expanding tax sources, has its own characteristics such as the concealment of both parties, the uncertainty of the transaction location and the complexity of the transaction objects, which are also the current characteristics of our country. The tax system presents many difficulties. As the annual transaction amount of e-commerce continues to increase, the corresponding problem of tax payment has surfaced. For the taxation of e-commerce, there is currently no perfect way to tax e-commerce, and the present invention provides a method based on The Internet and big data e-commerce tax collection management method is based on the Internet and uses big data technology to form an e-commerce tax collection management method through the collection, management, and feedback of e-commerce data, which is helpful for the management of e-commerce tax collection. Provide a basis and advance reference for the gradual improvement of e-commerce taxation.
发明内容Contents of the invention
本发明针对现有技术中我国现行的税收制度无法根据电商的特性对其征税，还没有完善的办法对电商进行征税的问题，提供一种基于互联网、大数据的电商征税管理方法，基于互联网，利用大数据技术，通过对电商数据的采集，管理，反馈，形成电商征税管理系统，有助于电商征税的管理，为逐步完善的电商征税提供依据和先行参考。The present invention aims at the problem that my country's current taxation system cannot tax e-commerce according to the characteristics of e-commerce in the prior art, and there is no perfect way to tax e-commerce, and provides an e-commerce tax collection based on the Internet and big data The management method is based on the Internet and uses big data technology to form an e-commerce tax collection management system through the collection, management, and feedback of e-commerce data, which is conducive to the management of e-commerce tax collection and provides a step-by-step improvement for e-commerce tax collection. Basis and Prior Reference.
本发明提出的具体方案是：The concrete scheme that the present invention proposes is:
一种基于互联网、大数据的电商征税管理方法：An e-commerce taxation management method based on the Internet and big data:
通过互联网采集电商与征税相关的参数数据，对采集的参数数据进行数据异构到同构的处理，结合大数据分析方法，根据影响因素对应的系数，获取相应数据的计算方法，根据电商实际缴税情况，对电商进行处理；具体步骤如下：Collect parameter data related to e-commerce and tax collection through the Internet, and process the collected parameter data from data isomorphism to isomorphism. Combined with big data analysis methods, according to the coefficients corresponding to the influencing factors, the calculation method of the corresponding data is obtained. According to the electricity According to the actual tax payment situation of the merchant, the e-commerce will be processed; the specific steps are as follows:
第一步：确定采集数据的类别，明确各个字段；Step 1: Determine the category of collected data and clarify each field;
第二步：每个采集类别对应多个目标数据源可供采集；Step 2: Each collection category corresponds to multiple target data sources available for collection;
第三步：针对不同的目标数据源，进行不同的采集配置，以确保能采集到数据；Step 3: Perform different collection configurations for different target data sources to ensure that data can be collected;
第四步：调度采集任务，与目标站点同步更新，增量采集；Step 4: Scheduling collection tasks, synchronously updating with the target site, and incremental collection;
第五步：采集到数据结果，完成数据异构到同构的过程；Step 5: Collect data results and complete the process from data heterogeneity to isomorphism;
第六步：结合企业或个人的情况分析其营业额，按不同类别进行电商征税；Step 6: Analyze the turnover of the enterprise or individual based on the situation, and conduct e-commerce taxation according to different categories;
第七步：结合大数据分析，根据影响因素对应的系数，生成公式；Step 7: Combined with big data analysis, generate a formula according to the coefficients corresponding to the influencing factors;
第八步：根据电商实际缴税情况，对电商进行奖励或处罚的处理。Step 8: According to the actual tax payment situation of the e-commerce, reward or punish the e-commerce.
具体步骤还包括第九步：通过对电商各个企业或者个人的纳税记录进行评分，将分数对外公布。The specific steps also include the ninth step: scoring the tax records of various e-commerce companies or individuals, and publishing the scores to the public.
采用垂直搜索引擎对互联网中与征税相关的参数数据进行实时动态抓取。The vertical search engine is used to capture the parameter data related to taxation in real time and dynamically on the Internet.
具体地抓取过程为：通过垂直搜索引擎的Hash函数方式遍历轨迹（<URL,1/0>），并规定某一Web页被遍历过，则在哈希表中的相应部分填1，否则填充0；哈希函数采用MD5，相应位为1的URL的MD5集合判断URL是否已抓取过，如果没有被抓取过，则放入未爬行的URL数据中，否则放入已爬行的URL库中。The specific crawling process is: Traversing the track (<URL,1/0>) through the Hash function of the vertical search engine, and specifying that a certain web page has been traversed, then fill in 1 in the corresponding part of the hash table, otherwise Fill with 0; the hash function uses MD5, and the MD5 set of the URL whose corresponding bit is 1 determines whether the URL has been crawled. If it has not been crawled, put it into the uncrawled URL data, otherwise put it into the crawled URL library.
动态的抓取互联网中电商与征税相关的参数数据主要包括各个企业或个人的年收入、成本、费用及员工的平均工资。Dynamically capture the parameter data related to e-commerce and tax collection in the Internet, mainly including the annual income, cost, expenses and average salary of employees of each enterprise or individual.
本发明的有益之处是：The benefits of the present invention are:
本发明通过互联网采集电商与征税相关的参数数据，对采集的参数数据进行数据异构到同构的处理，结合大数据分析方法，根据影响因素对应的系数，获取相应数据的计算方法，根据电商实际缴税情况，对电商进行处理，有助于电商征税的管理，为逐步完善的电商征税提供依据和先行参考，而且促进电商征税政策的制定，改进现有的税收制度，在增加国家税收的同时，起着推动的作用。The present invention collects parameter data related to e-commerce and taxation through the Internet, processes the collected parameter data from data isomorphism to isomorphism, combines the big data analysis method, and obtains the calculation method of corresponding data according to the coefficients corresponding to the influencing factors, According to the actual tax payment situation of e-commerce, processing e-commerce will help the management of e-commerce taxation, provide a basis and advance reference for the gradual improvement of e-commerce taxation, and promote the formulation of e-commerce taxation policies, improve the current Some taxation systems play a role in promoting while increasing national taxation.
附图说明Description of drawings
图1本发明方法工作流程示意图。Fig. 1 is a schematic diagram of the workflow of the method of the present invention.
具体实施方式detailed description
一种基于互联网、大数据的电商征税管理方法：An e-commerce taxation management method based on the Internet and big data:
通过互联网采集电商与征税相关的参数数据，对采集的参数数据进行数据异构到同构的处理，结合大数据分析方法，根据影响因素对应的系数，获取相应数据的计算方法，根据电商实际缴税情况，对电商进行处理；具体步骤如下：Collect parameter data related to e-commerce and tax collection through the Internet, and process the collected parameter data from data isomorphism to isomorphism. Combined with big data analysis methods, according to the coefficients corresponding to the influencing factors, the calculation method of the corresponding data is obtained. According to the electricity According to the actual tax payment situation of the merchant, the e-commerce will be processed; the specific steps are as follows:
第一步：确定采集数据的类别，明确各个字段；Step 1: Determine the category of collected data and clarify each field;
第二步：每个采集类别对应多个目标数据源可供采集；Step 2: Each collection category corresponds to multiple target data sources available for collection;
第三步：针对不同的目标数据源，进行不同的采集配置，以确保能采集到数据；Step 3: Perform different collection configurations for different target data sources to ensure that data can be collected;
第四步：调度采集任务，与目标站点同步更新，增量采集；Step 4: Scheduling collection tasks, synchronously updating with the target site, and incremental collection;
第五步：采集到数据结果，完成数据异构到同构的过程；Step 5: Collect data results and complete the process from data heterogeneity to isomorphism;
第六步：结合企业或个人的情况分析其营业额，按不同类别进行电商征税；Step 6: Analyze the turnover of the enterprise or individual based on the situation, and conduct e-commerce taxation according to different categories;
第七步：结合大数据分析，根据影响因素对应的系数，生成公式；Step 7: Combined with big data analysis, generate a formula according to the coefficients corresponding to the influencing factors;
第八步：根据电商实际缴税情况，对电商进行奖励或处罚的处理。Step 8: According to the actual tax payment situation of the e-commerce, reward or punish the e-commerce.
结合上述方法，参考附图，对本发明做进一步说明。In combination with the above methods, the present invention will be further described with reference to the accompanying drawings.
一种基于互联网、大数据的电商征税管理方法：An e-commerce taxation management method based on the Internet and big data:
通过互联网采集电商与征税相关的参数数据，采用垂直搜索引擎对互联网中与征税相关的参数数据进行实时动态抓取，动态的抓取互联网中电商与征税相关的参数数据主要包括各个企业或个人的年收入、成本、费用及员工的平均工资，具体地抓取过程为：通过垂直搜索引擎的Hash函数方式遍历轨迹（<URL,1/0>），并规定某一Web页被遍历过，则在哈希表中的相应部分填1，否则填充0；哈希函数采用MD5，相应位为1的URL的MD5集合判断URL是否已抓取过，如果没有被抓取过，则放入未爬行的URL数据中，否则放入已爬行的URL库中；Collect parameter data related to e-commerce and taxation through the Internet, and use vertical search engines to dynamically capture parameter data related to taxation in real time on the Internet. The dynamic capture of parameter data related to e-commerce and taxation on the Internet mainly includes The annual income, costs, expenses, and average wages of employees of each enterprise or individual, the specific capture process is: traverse the track (<URL,1/0>) through the Hash function of the vertical search engine, and specify a certain Web page If it has been traversed, fill in 1 in the corresponding part of the hash table, otherwise fill in 0; the hash function uses MD5, and the MD5 set of the URL whose corresponding bit is 1 judges whether the URL has been crawled, if not, Put it into the uncrawled URL data, otherwise put it into the crawled URL library;
对采集的参数数据进行数据异构到同构的处理，结合大数据分析方法，根据影响因素对应的系数，获取相应数据的计算方法，根据电商实际缴税情况，对电商进行处理；具体步骤如下：Process the collected parameter data from data isomorphism to isomorphism, combine with big data analysis methods, obtain the calculation method of corresponding data according to the coefficients corresponding to the influencing factors, and process e-commerce according to the actual tax payment situation of e-commerce; Proceed as follows:
第一步：确定采集数据的类别，明确各个字段；Step 1: Determine the category of collected data and clarify each field;
第二步：每个采集类别对应多个目标数据源可供采集；Step 2: Each collection category corresponds to multiple target data sources available for collection;
第三步：针对不同的目标数据源，进行不同的采集配置，以确保能采集到数据；Step 3: Perform different collection configurations for different target data sources to ensure that data can be collected;
第四步：调度采集任务，与目标站点同步更新，增量采集；Step 4: Scheduling collection tasks, synchronously updating with the target site, and incremental collection;
第五步：采集到数据结果，完成数据异构到同构的过程；Step 5: Collect data results and complete the process from data heterogeneity to isomorphism;
第六步：结合B2B、C2C、B2C等企业或个人的情况分析其营业额，按不同类别进行电商征税；Step 6: Analyze the turnover of B2B, C2C, B2C and other enterprises or individuals, and collect taxes for e-commerce according to different categories;
第七步：结合大数据分析，根据影响因素对应的系数，生成公式；Step 7: Combined with big data analysis, generate a formula according to the coefficients corresponding to the influencing factors;
第八步：根据电商实际缴税情况，对电商进行奖励或处罚的处理；比如按时上交税费的企业或个人一年内免去一个月的税收，监测到未上交或者偷税漏税的企业个人不予营业资格并罚款；Step 8: According to the actual tax payment situation of e-commerce, reward or punish e-commerce; for example, enterprises or individuals who pay taxes and fees on time are exempted from tax for one month within a year, and those who fail to pay taxes or tax evasion are detected. Enterprises and individuals are not allowed to operate and fined;
第九步：通过对电商各个企业或者个人的纳税记录进行评分，将分数对外公布。Step 9: By scoring the tax records of various e-commerce companies or individuals, the scores are announced to the public.
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