Big data-based medical and creative policy data pushing method and system

Abstract

The invention discloses a big data-based department and creative policy data pushing method and system, and relates to the technical field of data pushing, and the method comprises the steps: obtaining the information of an enterprise, the information of the current declaration business of the enterprise and the information of each department and creative policy from a database, obtaining each initial department and creative policy, obtaining the regional culture of the place where the enterprise is located, and carrying out the data pushing of the department and creative policies; the method comprises the following steps: acquiring enterprise information, matching with each initial department and creative policy, selecting each initial department and creative policy conforming to the current declared business of an enterprise, acquiring each similar enterprise according to the enterprise information, analyzing the business development trend of the enterprise, and acquiring each potential available department and creative policy according to the business development trend of the enterprise; according to the technical scheme of the invention, the use priorities of the initial department and creativity policies and the potential available department and creativity policies conforming to the current declared business of the enterprise are analyzed, and are sorted and fed back to the user interface, so that the adaptability of the pushed department and creativity policies and the enterprise is ensured, and the pushed department and creativity policies can be ensured to lay a policy foundation for the development of the enterprise.

Description

Technical Field

[0001] This invention relates to the field of data push technology, specifically to a method and system for pushing science and technology innovation policy data based on big data. Background Technology

[0002] Science and technology innovation policies are systematic support measures formulated by the government to stimulate scientific and technological innovation, promote scientific and technological achievements, and cultivate emerging industries. In recent years, China's science and technology innovation policy system has been continuously optimized, forming an institutional framework that covers the entire life cycle of enterprises and multi-dimensional collaboration. In order to promote scientific and technological innovation, the national and local governments have intensively introduced policies covering multiple fields such as tax incentives, R&D subsidies, achievement transformation, and financial support.

[0003] Traditional methods and systems for pushing science and technology innovation policy data obtain information about the business currently being applied for by enterprises and the various science and technology innovation policies that have been issued. They also obtain the fields in which each science and technology innovation policy applies, match the enterprise's current business with the fields in which the issued science and technology innovation policies apply, and push the science and technology innovation policies that match the enterprise's current business. Obviously, this method and system for pushing science and technology innovation policy data has at least the following shortcomings: 1. Traditional methods and systems for pushing science and technology innovation policy data only obtain science and technology innovation policies that match the enterprise based on the enterprise's current business, ignoring the implementation duration of each science and technology innovation policy, the growth cycle of the enterprise's business, and the regional culture of the enterprise's location. Therefore, they cannot guarantee the suitability of the pushed science and technology innovation policies for the enterprise.

[0004] 2. Traditional methods and systems for pushing science and technology innovation policies lack predictions about the future development of enterprises when pushing science and technology innovation policies to them. Therefore, they cannot guarantee whether the pushed science and technology innovation policies can lay a policy foundation for the development of enterprises. Summary of the Invention

[0005] In view of the above-mentioned technical shortcomings, the purpose of this invention is to provide a method and system for pushing science and technology innovation policy data based on big data.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a method for pushing science and technology innovation policy data based on big data, including the following steps: S1, data acquisition: acquiring information about enterprises, information about the current business applications of enterprises, and information about various science and technology innovation policies from the database.

[0007] S2. Policy Analysis: Based on the information of the enterprise's current application business and the information of various science and technology innovation policies, obtain the initial science and technology innovation policies, and at the same time obtain the local culture of the enterprise's location. Match these with the initial science and technology innovation policies, select the initial science and technology innovation policies that are in line with the enterprise's current application business, and refer to them as the compliant science and technology innovation policies.

[0008] S3. Development Forecast and Policy Acquisition: Based on the enterprise information, obtain information on similar enterprises from the database. Combine the enterprise information and the information on similar enterprises to analyze the enterprise's business development trend. Based on the enterprise's business development trend, obtain potential and available science and technology innovation policies.

[0009] S4. Policy Push: Analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface.

[0010] Secondly, the present invention provides a science and technology innovation policy data push system based on big data, including the following modules: a data acquisition module for acquiring enterprise information, enterprise current application information and various science and technology innovation policies from the database.

[0011] The policy analysis module is used to obtain the initial science and technology innovation policies based on the information of the enterprise's current application business and the information of various science and technology innovation policies. At the same time, it obtains the local culture of the enterprise's location and matches it with the initial science and technology innovation policies, selects the initial science and technology innovation policies that are in line with the enterprise's current application business, and refers to them as the compliant science and technology innovation policies.

[0012] The development forecasting and policy acquisition module is used to obtain information on similar companies based on enterprise information, and to retrieve information on similar companies from the database. By combining enterprise information and information on similar companies, the module analyzes the business development trends of enterprises and, based on these trends, identifies potential and available science and technology innovation policies.

[0013] The policy push module is used to analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface.

[0014] The database is used to store information about enterprises, information about the enterprises' current business applications, information about various science and technology innovation policies, as well as information about other enterprises in the enterprise's location and traditional implementation methods of characteristic industries.

[0015] The beneficial effects of this invention are as follows: 1. This invention provides a method and system for pushing science and technology innovation policies based on big data. It obtains enterprise information, information on the enterprise's current business applications, and information on various science and technology innovation policies from the database, and obtains the initial science and technology innovation policies. It also obtains the regional culture of the enterprise's location and matches it with the initial science and technology innovation policies, selecting the initial science and technology innovation policies that are consistent with the enterprise's current business applications. At the same time, it obtains similar enterprises based on the enterprise information, analyzes the enterprise's business development trend, and obtains the potential available science and technology innovation policies based on the enterprise's business development trend. It analyzes the usage priority of the initial science and technology innovation policies and the potential available science and technology innovation policies that are consistent with the enterprise's current business applications, and sorts and feeds them back to the user interface. This ensures the adaptability of the pushed science and technology innovation policies to the enterprise and also ensures that the pushed science and technology innovation policies can lay a policy foundation for the enterprise's development.

[0016] 2. This invention obtains initial science and technology innovation policies based on the enterprise's current application business field, the time required for business growth, the business start time, and enterprise operation information, as well as the execution time range, field, and requirements of each science and technology innovation policy for the enterprise. It also analyzes whether each initial science and technology innovation policy matches the marked culture based on the regional culture of the enterprise. The initial science and technology innovation policies that match the marked culture are consistent with the enterprise's current application business, ensuring the suitability of the pushed science and technology innovation policies for the enterprise.

[0017] 3. This invention obtains similar enterprises based on the enterprise's current application business, existing business, enterprise type, and development focus, as well as the existing business, enterprise type, and development focus of other enterprises in the enterprise's location. Based on the business development trends of these similar enterprises, it obtains the enterprise's business development trend and future business development. Based on the future business development, it obtains various potential available science and technology innovation policies, ensuring that the pushed science and technology innovation policies can lay a policy foundation for the enterprise's development. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.

[0020] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1 As shown, the present invention provides a method for pushing science and technology innovation policy data based on big data, including: S1, data acquisition: acquiring information about enterprises, information about the enterprise's current application business, and information about various science and technology innovation policies from the database.

[0023] It should be noted that the company's information includes its operational information, location information, current business applications, existing business and company type, as well as its development focus and the application time for existing business.

[0024] The enterprise operation information includes the enterprise's organizational structure, business qualifications, revenue and profit, and liabilities, while the enterprise location information includes the local characteristic industries, ecological ethics, and customs.

[0025] It should also be noted that the information on the business currently being declared by the enterprise includes the industry in which the business is currently being declared, the time required for the business to grow, and the start date of the business.

[0026] It should be explained that the information on science and technology innovation policies includes the implementation time frame, the relevant fields, the requirements for enterprises, as well as the application information and funding support for each implementing entity and the implementation methods for each implementing entity.

[0027] The application information includes each application stage and the time required for each stage.

[0028] S2. Policy Analysis: Based on the information of the enterprise's current application business and the information of various science and technology innovation policies, obtain the initial science and technology innovation policies, and at the same time obtain the local culture of the enterprise's location. Match these with the initial science and technology innovation policies, select the initial science and technology innovation policies that are in line with the enterprise's current application business, and refer to them as the compliant science and technology innovation policies.

[0029] In a specific embodiment, the policy analysis process is as follows: obtaining the field to which the enterprise's current business application belongs, the time required for business growth, the start time of business execution, and the enterprise's operational information, as well as the execution time range, field to which each science and technology innovation policy belongs, and the requirements of each science and technology innovation policy for the enterprise.

[0030] Based on the time required for the business growth of the enterprise's current application and the start time of the business, the growth time range of the enterprise's current application is calculated. Based on the field to which the enterprise's current application belongs, the growth time range, and the enterprise's operation information, the return value of each science and technology innovation policy is obtained. Each science and technology innovation policy with a return value of 1 is called an initial science and technology innovation policy.

[0031] It should be noted that adding the business start date to the required growth period yields the business maturity time. The sum of the start date and maturity time represents the growth time range for the company's current business application. For example, if the business start date is March 1, 2025, and the required growth period is three months, then the growth time range for the company's current business application is March 1, 2025 to June 1, 2025. This example is for illustrative purposes only and is not the only valid approach.

[0032] It should also be noted that the implementation time range, applicable field, and requirements of each science and technology innovation policy are compared with the applicable field, growth time range, and operational information of the enterprise's current application business. If the implementation time range of a certain science and technology innovation policy includes the growth time range of the enterprise's current application business, the applicable field is the same as the enterprise's current application business, and the enterprise's operational information meets the requirements of the science and technology innovation policy, then the return value of the science and technology innovation policy is 1. If the implementation time range of a certain science and technology innovation policy does not completely include the growth time range of the enterprise's current application business, the applicable field is different from the enterprise's current application business, or the enterprise's operational information does not meet the requirements of the science and technology innovation policy, then the return value of the science and technology innovation policy is 0. The return values ​​of each science and technology innovation policy are obtained in this way.

[0033] It's important to understand that when the implementation period of the science and technology innovation policy is from March 1, 2025 to May 1, 2025, and the growth period is from February 1, 2025 to April 1, 2025, March 1, 2025 to June 1, 2025, or May 1, 2025 to June 1, 2025, it means that the implementation period of the science and technology innovation policy does not fully encompass the growth period of the company's current business application. This example is for illustrative purposes only and is not the only valid limitation.

[0034] We obtain the local culture of the company's location from the company's information, which we call the "marked culture". We analyze whether each initial science and technology innovation policy matches the marked culture. If each initial science and technology innovation policy matches the marked culture, it is consistent with the company's current business application, and it is called a "compliant science and technology innovation policy".

[0035] The above analysis of whether each initial science and technology innovation policy matches the marked culture is specifically carried out as follows: the implementation targets of each initial science and technology innovation policy and the characteristic industries of the enterprise's location are obtained from the database. It is determined whether each initial science and technology innovation policy includes the characteristic industries of the enterprise's location. Each initial science and technology innovation policy that includes the characteristic industries of the enterprise's location is called a marked science and technology innovation policy, and each initial science and technology innovation policy that does not include the characteristic industries of the enterprise's location is called a secondary marked science and technology innovation policy.

[0036] It should be noted that the implementation targets of each initial science and technology innovation policy are compared with the characteristic industries of the enterprise's location. If the implementation targets of a certain initial science and technology innovation policy are the same as the characteristic industries of the enterprise's location, then the initial science and technology innovation policy includes characteristic industries. If the implementation targets of a certain initial science and technology innovation policy are not the same as the characteristic industries of the enterprise's location, then the initial science and technology innovation policy does not include characteristic industries. This method is used to determine whether each initial science and technology innovation policy includes the characteristic industries of the enterprise's location.

[0037] For each marked science and technology innovation policy, obtain the characteristic industry matching value of each marked science and technology innovation policy. Each marked science and technology innovation policy with a characteristic industry matching value of 1 matches the marked culture, and each marked science and technology innovation policy with a characteristic industry matching value of 0 does not match the marked culture.

[0038] For each secondary-marking science and technology innovation policy, determine whether each secondary-marking science and technology innovation policy conflicts with the national culture. If the secondary-marking science and technology innovation policy conflicts with the national culture, it is not compatible with the mark culture. If the secondary-marking science and technology innovation policy does not conflict with the national culture, it is compatible with the mark culture.

[0039] The specific process for obtaining the characteristic industry matching value of each marked science and technology innovation policy is as follows: The implementation methods and traditional implementation methods of the characteristic industries in each marked science and technology innovation policy are obtained from the database. The implementation methods of the characteristic industries in each marked science and technology innovation policy are compared with the traditional implementation methods to determine whether the implementation methods of the characteristic industries in each marked science and technology innovation policy violate the traditional implementation concept of the characteristic industries. If the implementation method of the characteristic industries in a certain marked science and technology innovation policy violates the traditional implementation concept of the characteristic industries, then the characteristic industry matching value of that marked science and technology innovation policy is 0; otherwise, the characteristic industry matching value of that marked science and technology innovation policy is 1. The characteristic industry matching value of each marked science and technology innovation policy is obtained in this way.

[0040] It should be noted that the semantic concatenation difference detection technology based on NLP is used to determine whether the implementation methods of characteristic industries in science and technology innovation policies violate the traditional implementation concepts of characteristic industries. The semantic concatenation difference detection technology based on NLP is an existing technology. The specific process is as follows: First, the core elements are defined, and based on the BERT-Base-Chinese model, the entity elements of the implementation methods of characteristic industries in each labeled science and technology innovation policy and the traditional implementation methods of characteristic industries are identified. The relationships between the entity elements are extracted using SpanBERT. Then, the relationships between the entity elements of the implementation methods of characteristic industries in each labeled science and technology innovation policy are compared with the relationships between the entity elements of the traditional implementation methods of characteristic industries. If the relationships between the entity elements of the implementation methods of characteristic industries in each labeled science and technology innovation policy include the relationships between the entity elements of the traditional implementation methods of characteristic industries, it means that the implementation methods of characteristic industries in the labeled science and technology innovation policy do not violate the traditional implementation concepts of characteristic industries. Otherwise, it means that the implementation methods of characteristic industries in the labeled science and technology innovation policy violate the traditional implementation concepts of characteristic industries.

[0041] The specific process for determining whether each secondary-marked science and technology innovation policy conflicts with ethnic culture is as follows: Ecological ethics and customs of the enterprise's location are retrieved from the database, and sub-policies related to these ecological ethics and customs are extracted from each secondary-marked science and technology innovation policy. The implementation methods for ecological ethics policies and customs policies are then extracted from these sub-policies. It is determined whether the ecological ethics policies and customs policies conflict with the ecological ethics and customs of the enterprise's location. If an ecological ethics policy or customs policy in a secondary-marked science and technology innovation policy conflicts with the ecological ethics of the enterprise's location, then the secondary-marked science and technology innovation policy conflicts with ethnic culture. If an ecological ethics policy or customs policy in a secondary-marked science and technology innovation policy does not conflict with the ecological ethics of the enterprise's location, then the secondary-marked science and technology innovation policy does not conflict with ethnic culture. This method is used to determine whether each secondary-marked science and technology innovation policy conflicts with ethnic culture.

[0042] It should be noted that the regional cultural knowledge graph construction and reasoning technology is used to extract sub-policies related to ecological ethics and customs. This regional cultural knowledge graph construction and reasoning technology is an existing technology. The specific process is as follows: define core entities such as sub-policies, ecological ethics, customs, regions, and implementation conditions, and define the types of relationships between entities. Then, use the Neo4j graph database to store the knowledge graph. Then, convert the entities and relationships extracted by NER and relation extraction into Neo4j Cypher statements. Finally, set the reasoning rules to extract sub-policies related to ecological ethics and customs.

[0043] It should also be noted that, in accordance with the method for judging whether the implementation of characteristic industries in various science and technology innovation policies violates the traditional implementation concept of characteristic industries, it is necessary to judge whether the ecological ethics policies and customs policies conflict with the ecological ethics and customs of the enterprise's location.

[0044] S3. Development Forecast and Policy Acquisition: Based on the enterprise information, obtain information on similar enterprises from the database. Combine the enterprise information and the information on similar enterprises to analyze the enterprise's business development trend. Based on the enterprise's business development trend, obtain potential and available science and technology innovation policies.

[0045] In a specific embodiment, the development prediction and policy acquisition process is as follows: the company’s current application business, existing business and company type, as well as the company’s development focus are obtained from the database. The existing business, company type and development focus of other companies in the company’s location are also obtained from the database. At the same time, the other companies in the company’s location are referred to as marked companies. The similarity between the company and the marked companies is analyzed. The marked companies with a high degree of similarity to the company are referred to as similar companies.

[0046] The business development trends of similar enterprises are obtained from the database, and business development characteristics are obtained based on the business development trends of similar enterprises. Based on the business development characteristics, the business development trends and future business development of enterprises are obtained. At the same time, based on the future business development and in accordance with the method of obtaining various science and technology innovation policies that comply with the science and technology innovation policies, various potential available science and technology innovation policies are obtained.

[0047] It should be noted that the business development characteristics are obtained through Time-Series Transformer technology, which is an existing technology. The specific process is as follows: the business development trends of similar enterprises are standardized, and a region-time fusion embedding layer, a self-attention layer with region mask, and a feedforward network for region feature enhancement are constructed in the Time-Series Transformer model. At the same time, the processed business development trends of similar enterprises are divided into training set, test set, and validation set to train the Time-Series Transformer model. After training, the business development trends of similar enterprises are input into the Time-Series Transformer model to obtain the business development characteristics.

[0048] The process of analyzing the similarity between the enterprise and each marked enterprise is as follows: each marked enterprise whose enterprise type and development focus are the same as the enterprise's enterprise type and development focus is called a secondary marked enterprise; the existing business and the business currently applied for by the enterprise are called the enterprise's marked business; and the existing business of each secondary marked enterprise is compared with the enterprise's marked business.

[0049] When a secondary-labeled enterprise already has businesses that include all the labeled businesses of the enterprise, obtain the application time of the enterprise's current application business and the application time of the existing businesses in the secondary-labeled enterprise, and determine whether the application time of the enterprise's current application business in the secondary-labeled enterprise is greater than the application time of the existing businesses of the enterprise. If it is greater, it means that the secondary-labeled enterprise and the enterprise have a high degree of similarity. If it is less, it means that the secondary-labeled enterprise and the enterprise have a low degree of similarity.

[0050] When a secondary-labeled enterprise already has businesses that do not fully encompass the businesses of all the labeled enterprises, it indicates that the secondary-labeled enterprise has a low similarity to the enterprise. This method is used to analyze the degree of similarity between the enterprise and each labeled enterprise.

[0051] S4. Policy Push: Analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface.

[0052] In a specific embodiment, the policy push process is as follows: obtain the application information, execution time interval, and funding support of each compliant and potentially available science and technology innovation policy from the database; and analyze the usage priority of each compliant and potentially available science and technology innovation policy based on the application information, execution time interval, and funding support.

[0053] The priority of each compliant and potentially available science and technology innovation policy is used as the priority for pushing each compliant and potentially available science and technology innovation policy. The policies are then sorted in descending order of priority, and the sorting results are displayed on the user interface.

[0054] The above analysis of the priority of using various science and technology innovation policies and various potential available science and technology innovation policies is carried out in the following specific process: obtaining the application process and the time required for each application process for each science and technology innovation policy, calculating the application time for each science and technology innovation policy, and calculating the financial support per unit of execution time for each science and technology innovation policy based on the execution time interval and financial support of each science and technology innovation policy.

[0055] It should be noted that the time required for each application stage is added up to obtain the application time, and the funding support per unit of execution time is obtained by using the time interval between the funding support periods within the execution time range.

[0056] The funding support for each unit that meets the science and technology innovation policy is compared based on the implementation time. The longer the implementation time, the higher the priority of use. If multiple units meet the science and technology innovation policy with the same funding support for the same implementation time, their application duration is compared. The shorter the application duration, the higher the priority of use. This method is used to determine the priority of use for each unit that meets the science and technology innovation policy.

[0057] The priority of each potentially available science and technology innovation policy is obtained by following the method of prioritizing the use of each policy that meets the requirements of science and technology innovation.

[0058] Please see Figure 2 As shown, the present invention provides a science and technology innovation policy data push system based on big data, including: a data acquisition module for acquiring enterprise information, enterprise current application information and various science and technology innovation policies from the database.

[0059] The policy analysis module is used to obtain the initial science and technology innovation policies based on the information of the enterprise's current application business and the information of various science and technology innovation policies. At the same time, it obtains the local culture of the enterprise's location and matches it with the initial science and technology innovation policies, selects the initial science and technology innovation policies that are in line with the enterprise's current application business, and refers to them as the compliant science and technology innovation policies.

[0060] The development forecasting and policy acquisition module is used to obtain information on similar companies based on enterprise information, and to retrieve information on similar companies from the database. By combining enterprise information and information on similar companies, the module analyzes the business development trends of enterprises and, based on these trends, identifies potential and available science and technology innovation policies.

[0061] The policy push module is used to analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface.

[0062] The database is used to store information about enterprises, information about the enterprises' current business applications, information about various science and technology innovation policies, as well as information about other enterprises in the enterprise's location and traditional implementation methods of characteristic industries.

[0063] This invention retrieves enterprise information, information on the enterprise's current business applications, and information on various science and technology innovation policies from a database. It also retrieves initial science and technology innovation policies, the local culture of the enterprise's location, and matches these with the initial policies. Policies that align with the enterprise's current business applications are selected. Simultaneously, similar enterprises are identified based on the enterprise information, and the enterprise's business development trends are analyzed. Based on these trends, potential available science and technology innovation policies are identified, and the priority of using the initial and potential available policies that align with the enterprise's current business applications is analyzed and ranked. This information is then fed back to the user interface, ensuring the suitability of the pushed science and technology innovation policies for the enterprise and guaranteeing that the policies lay a policy foundation for the enterprise's development.

[0064] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.

[0065] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for pushing science and technology innovation policy data based on big data, characterized in that, Includes the following steps: S1. Data Acquisition: Obtain information about enterprises, information about enterprises' current business applications, and information about various science and technology innovation policies from the database; S2. Policy Analysis: Based on the information of the enterprise's current application business and the information of various science and technology innovation policies, obtain the initial science and technology innovation policies, and at the same time obtain the local culture of the enterprise's location, and match it with the initial science and technology innovation policies. Select the initial science and technology innovation policies that are in line with the enterprise's current application business and refer to them as the compliant science and technology innovation policies. S3. Development Forecast and Policy Acquisition: Based on the enterprise information, obtain information on similar enterprises and retrieve information on similar enterprises from the database. Combine the enterprise information and information on similar enterprises to analyze the enterprise's business development trend and, based on the enterprise's business development trend, obtain potential and available science and technology innovation policies. S4. Policy Push: Analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface.

2. The method for pushing science and technology innovation policy data based on big data according to claim 1, characterized in that, The policy analysis process is as follows: Obtain information on the industry sectors of the company's current business applications, the time required for business growth, the start date of business operations, and the company's operational information, as well as the implementation timeframes, industry sectors, and requirements of various science and technology innovation policies for the company. Based on the time required for the business growth of the enterprise's current application and the start time of the business, the growth time range of the enterprise's current application is calculated. Based on the field of the enterprise's current application, the growth time range, and the enterprise's operation information, the return value of each science and technology innovation policy is obtained. Each science and technology innovation policy with a return value of 1 is called an initial science and technology innovation policy. We obtain the local culture of the company's location from the company's information, which we call the "marked culture". We analyze whether each initial science and technology innovation policy matches the marked culture. If each initial science and technology innovation policy matches the marked culture, it is consistent with the company's current business application, and it is called a "compliant science and technology innovation policy".

3. The method for pushing science and technology innovation policy data based on big data according to claim 2, characterized in that, The analysis of whether each initial science and technology innovation policy matches the brand culture is conducted in the following specific process: The database is used to obtain the target enterprises and the characteristic industries of the enterprises' locations for each initial science and technology innovation policy. It is then determined whether each initial science and technology innovation policy includes the characteristic industries of the enterprises' locations. Each initial science and technology innovation policy that includes the characteristic industries of the enterprises' locations is called a marked science and technology innovation policy, and each initial science and technology innovation policy that does not include the characteristic industries of the enterprises' locations is called a secondary marked science and technology innovation policy. For each marked science and technology innovation policy, obtain the characteristic industry matching value of each marked science and technology innovation policy. Each marked science and technology innovation policy with a characteristic industry matching value of 1 matches the marked culture, and each marked science and technology innovation policy with a characteristic industry matching value of 0 does not match the marked culture. For each secondary-marking science and technology innovation policy, determine whether each secondary-marking science and technology innovation policy conflicts with the national culture. If the secondary-marking science and technology innovation policy conflicts with the national culture, it is not compatible with the mark culture. If the secondary-marking science and technology innovation policy does not conflict with the national culture, it is compatible with the mark culture.

4. The method for pushing science and technology innovation policy data based on big data according to claim 3, characterized in that, The specific process for obtaining the characteristic industry matching value of each marked science and technology innovation policy is as follows: The implementation methods and traditional implementation methods of characteristic industries in each marked science and technology innovation policy are obtained from the database. The implementation methods of characteristic industries in each marked science and technology innovation policy are compared with the traditional implementation methods of characteristic industries to determine whether the implementation methods of characteristic industries in each marked science and technology innovation policy violate the traditional implementation concept of characteristic industries. If the implementation method of characteristic industries in a certain marked science and technology innovation policy violates the traditional implementation concept of characteristic industries, the characteristic industry matching value of the marked science and technology innovation policy is 0, otherwise the characteristic industry matching value of the marked science and technology innovation policy is 1. The characteristic industry matching value of each marked science and technology innovation policy is obtained in this way.

5. The method for pushing science and technology innovation policy data based on big data according to claim 3, characterized in that, The specific process for determining whether each secondary marker-based science and technology innovation policy conflicts with national culture is as follows: The system retrieves the ecological ethics and customs of the enterprise's location from the database and extracts sub-policies related to these localities from each secondary-marked science and technology innovation policy. It then extracts the implementation methods for ecological ethics policies and customs policies from these sub-policies. The system determines whether these ecological ethics and customs policies conflict with the ecological ethics and customs of the enterprise's location. If an ecological ethics policy or customs policy in a secondary-marked science and technology innovation policy conflicts with the ecological ethics of the enterprise's location, it indicates a conflict with the local culture. Conversely, if neither the ecological ethics policy nor the customs policy in a secondary-marked science and technology innovation policy conflicts with the local culture, it indicates a no-conflict. This method is used to determine whether each secondary-marked science and technology innovation policy conflicts with the local culture.

6. The method for pushing science and technology innovation policy data based on big data according to claim 1, characterized in that, The specific process for development forecasting and policy acquisition is as follows: The database is used to obtain the company's current business applications, existing business, and company type, as well as the company's development focus. The database is also used to obtain the existing business, company type, and development focus of other companies in the company's location. These other companies in the company's location are referred to as "marked companies". The similarity between the company and each marked company is analyzed, and the marked companies with a high degree of similarity to the company are referred to as "similar companies". The business development trends of similar enterprises are obtained from the database, and business development characteristics are obtained based on the business development trends of similar enterprises. Based on the business development characteristics, the business development trends and future business development of enterprises are obtained. At the same time, based on the future business development and in accordance with the method of obtaining various science and technology innovation policies that comply with the science and technology innovation policies, various potential available science and technology innovation policies are obtained.

7. The method for pushing science and technology innovation policy data based on big data according to claim 6, characterized in that, The analysis of the similarity between the analyzed enterprise and each marked enterprise is carried out in the following specific process: Enterprises with the same enterprise type and development focus as the enterprise are called secondary-marked enterprises. Enterprises with existing business and currently applied business are called enterprise-marked businesses. The existing business of each secondary-marked enterprise is compared with the enterprise's enterprise-marked businesses. When a secondary-labeled enterprise already has businesses that include all the labeled businesses of the enterprise, obtain the application time of the enterprise's current application business and the application time of the existing business in the secondary-labeled enterprise, and determine whether the application time of the enterprise's current application business in the secondary-labeled enterprise is greater than the application time of the existing business of the enterprise. If it is greater, it means that the secondary-labeled enterprise and the enterprise have a high degree of similarity. If it is less, it means that the secondary-labeled enterprise and the enterprise have a low degree of similarity. When a secondary-labeled enterprise already has businesses that do not fully encompass the businesses of all the labeled enterprises, it indicates that the secondary-labeled enterprise has a low similarity to the enterprise. This method is used to analyze the degree of similarity between the enterprise and each labeled enterprise.

8. The method for pushing science and technology innovation policy data based on big data according to claim 1, characterized in that, The specific process for disseminating the policy is as follows: The application information, implementation time range, and funding support for each eligible and potentially available science and technology innovation policy are obtained from the database. Based on the application information, implementation time range, and funding support for each eligible and potentially available science and technology innovation policy, the priority of use for each eligible and potentially available science and technology innovation policy is analyzed. The priority of each compliant and potentially available science and technology innovation policy is used as the priority for pushing each compliant and potentially available science and technology innovation policy. The policies are then sorted in descending order of priority, and the sorting results are displayed on the user interface.

9. A method for pushing science and technology innovation policy data based on big data according to claim 8, characterized in that, The analysis prioritizes the use of various science and technology innovation policies that comply with existing policies and those that are potentially available. The specific process is as follows: Obtain the application process and time required for each stage of the application process that meets the science and technology innovation policy, calculate the application time for each stage that meets the science and technology innovation policy, and calculate the financial support for each stage of the application process based on the implementation time range and funding support of each stage that meets the science and technology innovation policy. The funding support for each unit that meets the science and technology innovation policy is compared based on the execution time. The longer the execution time, the higher the priority of use. If there are multiple units that meet the science and technology innovation policy with the same execution time funding support, their application duration is compared. The shorter the application duration, the higher the priority of use. This method is used to obtain the priority of use for each unit that meets the science and technology innovation policy. The priority of each potentially available science and technology innovation policy is obtained by following the method of prioritizing the use of each policy that meets the requirements of science and technology innovation.

10. A science and technology innovation policy data push system that implements the big data-based science and technology innovation policy data push method according to any one of claims 1-9, characterized in that, include: The data acquisition module is used to retrieve information about enterprises, their current business applications, and various science and technology innovation policies from the database. The policy analysis module is used to obtain the initial science and technology innovation policies based on the information of the enterprise's current application business and the information of various science and technology innovation policies. At the same time, it obtains the local culture of the enterprise's location and matches it with the initial science and technology innovation policies, selects the initial science and technology innovation policies that are in line with the enterprise's current application business, and refers to them as the compliant science and technology innovation policies. The development forecasting and policy acquisition module is used to obtain information on similar enterprises based on enterprise information, and to obtain information on similar enterprises from the database. By combining enterprise information and information on similar enterprises, the module analyzes the business development trend of enterprises and obtains potential and available science and technology innovation policies based on the business development trend of enterprises. The policy push module is used to analyze the priority of each compliant science and technology innovation policy and each potentially available science and technology innovation policy, and sort them in descending order of priority, and then feed the results back to the user interface. The database contains information about enterprises, information about their current business applications, information about various science and technology innovation policies, as well as information about other enterprises in the enterprise's location and traditional implementation methods for characteristic industries.

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