Computer data analysis management system based on big data

Abstract

The invention discloses a computer data analysis management system based on big data, particularly relates to the technical field of computers, and comprises a science and technology project data acquisition module, a cloud database, a science and technology project association degree screening module, a science and technology project classified storage module, a frequency integration module and a science and technology project search module. The science and technology project classified storage module stores all project information of all science and technology projects; retrieval information of all science and technology projects in a set time period is recorded in the cloud database; the science and technology project data acquisition module is used for collecting retrieval information of all science and technology projects in the cloud database; according to the method, science and technology projects with high retrieval frequency and strong relevance can be better screened out and integrated and compressed, when retrieval personnel perform retrieval, better response can be made and relevance recommendation science and technology project display can be given, information acquisition of the retrieval personnel is facilitated, and the use experience of the retrieval personnel can be greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, more particularly, the present application relates to a computer data analysis management system based on big data. BACKGROUND

[0002] With the development of information technology, more and more technological project acceptance, information retrieval, reply and other work began to use electronic technology project management system to improve work efficiency and service quality, but the traditional computer data analysis system only stays in the respective fragmented, independent query way, the computer technology project classification storage module is composed of multiple classification storage units, when the user uses the electronic technology project management system to query the technology project, respectively to multiple classification storage units send query requirements and get the target way makes the system needs more computing power, also increases the power consumption, and the time needed is longer, long time waiting is easy to reduce the user experience.

[0003] In order to solve the above defects, the present application provides a technical scheme.

[0004] INVENTION

[0005] To achieve the above object, the present application provides the following technical scheme:

[0006] A computer data analysis management system based on big data, comprising a technology project data acquisition module, a cloud database, a technology project correlation degree screening module, a technology project classification storage module, a frequency integration module and a technology project searching module.

[0007] The technology project classification storage module stores all project information of all technology projects.

[0008] The cloud database internally records the retrieval information of all technology projects within the set time period.

[0009] The technology project data acquisition module is used for collecting the retrieval information of all technology projects in the cloud database and all information in the technology project classification storage module, and respectively arranging them into a correlation information set and a retrieval information set, the correlation information set is composed of multiple sub correlation information sets, the retrieval information set is composed of multiple sub retrieval information sets, the technology project data acquisition module delivers the correlation information set to the technology project correlation degree screening module, and the technology project data acquisition module delivers the retrieval information set to the frequency integration module.

[0010] The technology project correlation degree screening module is configured to perform a technology project correlation degree analysis operation according to the correlation information set, to obtain a technology project correlation degree value TG i, to screen the technology project correlation degree value TG i, to obtain technology projects with high correlation degrees, to aggregate all the technology projects with high correlation degrees to obtain a high-correlation-degree technology project table, and to send the high-correlation-degree technology project table to the frequency integration module.

[0011] The frequency integration module is configured to perform a search frequency analysis operation according to the search information set, to obtain a technology project search frequency value set, to perform hierarchical processing according to the technology project search frequency values TP i in the technology project search frequency value set, to obtain technology projects with different hierarchical coefficients DJ i, to match the technology projects with different hierarchical coefficients DJ i and the high-correlation-degree technology project table, to obtain a technology project integration table, and to compress and integrate the technology projects according to the technology project integration table, to obtain a technology project compression package.

[0012] The technology project searching module is configured to search for a target according to an input, and to search for and call information in the technology project classified storage module or the technology project compression package in the frequency integration module.

[0013] In a preferred embodiment, the technology project classified storage module comprises a plurality of classified storage units, and each classified storage unit is configured to store all the project information of all the technology projects in a single field.

[0014] In a preferred embodiment, the sub-correlation information set comprises a title, a submitter, a unit name, a keyword, a code number, and a brief introduction text of the technology project; and the sub-search information set comprises a search frequency m of the technology project in a set time period, an average search duration value SC i, and an average search depth value SD i.

[0015] The average search depth value SD i is obtained by the following method:

[0016] The page number Pi of a single search result browsed by a user, the total page number YS of the search result, and the total number k of times that the user clicks the search result are recorded, and then substituted into the average search depth value SD i calculation formula p is a positive integer.

[0017] In a preferred embodiment, the technology project correlation degree screening module is configured to perform a technology project correlation degree analysis operation according to the correlation information set, to obtain a technology project correlation degree value TG i, to screen the technology project correlation degree value TG i, to obtain technology projects with high correlation degrees, and to aggregate all the technology projects with high correlation degrees to obtain a high-correlation-degree technology project table.

[0018] S1, mark the same proportion of text in the title, submitter, unit name, keyword, and brief text in the two sets of sub-correlation information of the two technology projects as ST1 i, ST2 i, ST3 i, ST4 i, and ST5 i respectively;

[0019] S2, mark the proportion of the same number of items in the same sequence of coding numbers in the two sets of sub-correlation information of the two technology projects in S1 as ST6 i, which accounts for the total number of items of the coding numbers;

[0020] S3, substitute ST1 i, ST2 i, ST3 i, ST4 i, ST5 i, and ST6 i into the technology project correlation value TG i calculation formula TG i = f1*ST1 i + f2*ST2 i + f3*ST3 i + f4*ST4 i + f5*ST5 i + f6*ST6 i, f1, f2, f3, f4, f5, and f6 are all preset proportion coefficients, and f1, f2, f3, f4, f5, and f6 are all positive integers, f1 + f2 + f3 + f4 + f5 + f6 = 1;

[0021] S4, compare the technology project correlation value TG i with the preset correlation threshold R in the technology project correlation screening module. If TG i ≥ R, the technology project is determined to have high correlation; if TG i < R, the technology project is determined to have no high correlation;

[0022] S5, all technology projects determined to have high correlation in S4 are summarized to obtain a high-correlation technology project table.

[0023] In a preferred embodiment, the frequency integration module is used to perform a search frequency analysis operation according to the search information set to obtain a set of technology project search frequency values, then perform hierarchical processing according to the technology project search frequency values in the set of technology project search frequency values to obtain technology projects with different level coefficients DJ i, and then match the technology projects with different level coefficients DJ i with the high-correlation technology project table to obtain a technology project integration table, which refers to:

[0024] V1, substitute the search frequency m, average search duration value SCi, and average search depth value SDi in the sub-search information set into the technology project search frequency value TPi calculation formula TPi = f1*m + f2*SCi + f3*SDi; f1, f2, and f3 are preset proportion coefficients of the search frequency m, average search duration value SCi, and average search depth value SDi respectively, and f1, f2, and f3 are all greater than 0;

[0025] V2, dividing [0, u] into h threshold intervals evenly, and taking the threshold interval where the technology project search frequency value TPi falls as the grade coefficient DJi of the technology project;

[0026] V3, generating a technology project sub-integration form of the technology project together with the list of technology projects with high correlation degrees in the high-correlation-degree technology project form of the technology project with high correlation degrees, and finally collecting all the technology project sub-integration forms into a technology project integration form.

[0027] In a preferred embodiment, the frequency integration module compresses and integrates the technology projects according to the technology project integration form to obtain a technology project compression package, which refers to: in the technology project sub-integration form of the technology project, the technology project sub-integration form with a grade coefficient DJi lower than r is deleted first, and then the first gi preset number of technology projects in the high-correlation-degree technology project form of the technology project are obtained according to the grade coefficient DJi of the technology project to be compressed together to obtain the technology project compression package.

[0028] The technology project searching module is used for searching and calling the information in the technology project classified storage module or the technology project compression package in the frequency integration module according to the input target to be searched.

[0029] According to the input target to be searched, the corresponding grade coefficient DJi is searched, and then r is compared with the grade coefficient DJi of the target to be searched. If the grade coefficient DJi of the target to be searched is lower than r, the target information in the technology project classified storage module is called, otherwise the technology project compression package of the target in the frequency integration module is called and decompressed to be displayed.

[0030] The technical effects and advantages of the present application are as follows:

[0031] The scientific research project correlation degree screening module performs scientific research project correlation degree analysis operation to obtain scientific research project correlation degree value TG i, then screens the scientific research project correlation degree value TG i to obtain scientific research project with high correlation degree, and performs search frequency analysis operation through the frequency integration module to obtain scientific research project search frequency value set, then performs hierarchical processing according to scientific research project search frequency values TPi in the scientific research project search frequency value set to obtain scientific research projects with different level coefficients DJ i, then matches the scientific research projects with different level coefficients DJ i with the high-correlation-degree scientific research project table to obtain a scientific research project integration table, which can better screen and integrate scientific research projects with high search frequency and strong correlation, and can better respond in time and recommend scientific research projects with strong correlation to display when a searcher searches, which is more conducive to information acquisition of the searcher, and can greatly improve the use experience of the searcher when obtaining scientific research projects with high search frequency, and reduces the power consumption of the system. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to facilitate the understanding of those skilled in the art, the present application will be further described below with reference to the accompanying drawings;

[0033] Figure 1 It is a schematic diagram of the principle in the embodiment 1 of the present application.

[0034] Figure 2 It is a schematic diagram of the frequency integration module in the embodiment 2 of the present application. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0036] In the following embodiments, i only represents project number, not specific meaning, R, r, k, m, p, Ys, and h are positive integers.

[0037] Embodiment 1

[0038] A computer data analysis management system based on big data, comprising a scientific research project data acquisition module, a cloud database, a scientific research project correlation degree screening module, a scientific research project classification storage module, a frequency integration module, and a scientific research project searching module.

[0039] The scientific research project classification storage module stores all project information of all scientific research projects.

[0040] The cloud database internally records retrieval information of all technology projects within a set time period; the time period can be set as a time section in months or years;

[0041] The technology project data collection module is configured to collect retrieval information of all technology projects in the cloud database, all information in the technology project classified storage module, and respectively arrange the information into an association information set and a retrieval information set. The association information set is composed of multiple sub-association information sets, and the retrieval information set is composed of multiple sub-retrieval information sets. The technology project data collection module delivers the association information set to the technology project correlation degree screening module, and delivers the retrieval information set to the frequency integration module.

[0042] The technology project correlation degree screening module is configured to perform technology project correlation degree analysis operation according to the association information set, obtain a technology project correlation degree value TG i, then screen the technology project correlation degree value TG i, obtain technology projects with high correlation degree, then aggregate all technology projects with high correlation degree to obtain a high correlation degree technology project table, and send the high correlation degree technology project table to the frequency integration module.

[0043] The frequency integration module is configured to perform retrieval frequency analysis operation according to the retrieval information set, obtain a technology project retrieval frequency value set, then perform hierarchical processing according to the technology project retrieval frequency values TP i in the technology project retrieval frequency value set, obtain technology projects with different level coefficients DJ i, then match the technology projects with different level coefficients DJ i and the high correlation degree technology project table, obtain a technology project integration table, the technology project integration table is composed of multiple technology project sub-integration tables, and the technology projects are compressed and integrated according to the technology project integration table, to obtain a technology project compression package.

[0044] The technology project searching module is configured to search and retrieve technology projects according to an input target to be searched, and retrieve information in the technology project classified storage module or the technology project compression package in the frequency integration module.

[0045] The technology project classified storage module is composed of multiple classified storage units, and each classified storage unit is configured to store all project information of all technology projects in a single field.

[0046] The sub-association information set contains the title, submitter, unit name, keyword, code number, and brief introduction text of the technology project, and the sub-retrieval information set contains the retrieval frequency m of the technology project within a set time period, the average retrieval duration value SC i, and the average retrieval depth value SD i.

[0047] The technology project relevance screening module performs a technology project relevance analysis operation based on the relevance information set to obtain the technology project relevance value TG i. Then, it screens the technology project relevance value TG i to obtain technology projects with high relevance. Next, it summarizes all the technology projects with high relevance to obtain the high-relevance technology project form, which refers to:

[0048] S1. Arbitrarily select the sub-relevance information sets of two technology projects, and mark the text similarity ratios in the title, submitter, unit name, keywords, and brief text in the two sets as ST1 i, ST2 i, ST3 i, ST4 i, and ST5 i respectively;

[0049] S2. Mark the ratio of the number of identical items with the same sequence numbers in the coding numbers in the sub-relevance information sets of the two technology projects in S1 to the total number of coding number items as ST6i; The coding number is a number set based on the submission region of the technology project, the fields involved, the nature of the enterprise such as state-owned enterprises, private enterprises, etc. in this system for numbering and differentiation;

[0050] S3. Substitute ST1 i, ST2 i, ST3 i, ST4 i, ST5 i, and ST6i into the technology project relevance value TG i calculation formula TG i = f1*ST1 i + f2*ST2 i + f3*ST3 i + f4*ST4 i + f5*ST5 i + f6*ST6 i, where f1, f2, f3, f4, f5, and f6 are all preset proportional coefficients, and f1, f2, f3, f4, f5, and f6 are all positive integers, and f1 + f2 + f3 + f4 + f5 + f6 = 1;

[0051] S4. Compare the technology project relevance value TG i with the preset relevance threshold R in the technology project relevance screening module. When the technology project relevance value TG i ≥ R, it is determined that the technology project has high relevance; when the technology project relevance value TG i < R, it is determined that the technology project does not have high relevance;

[0052] S5. Summarize all the technology projects determined to have high relevance in S4 to obtain the high-relevance technology project form.

[0053] The frequency integration module is used to perform a retrieval frequency analysis operation based on the retrieval information set to obtain the technology project retrieval frequency value set. Then, it performs grading processing according to the technology project retrieval frequency value TP i in the technology project retrieval frequency value set to obtain technology projects with different grade coefficients DJ i. Next, it matches the technology projects with different grade coefficients DJi with the high-relevance technology project form to obtain the technology project integration form, which refers to:

[0054] V1. Substitute the number of searches m, the average search duration SCI, and the average search depth SDi from the sub-search information set into the formula for calculating the search frequency value TPi of science and technology projects: TPi=f1*m+f2*SCi+f3*SDi; f1, f2, and f3 are preset proportional coefficients for the number of searches m, the average search duration SCI, and the average search depth SDi, respectively, and f1, f2, and f3 are all greater than 0;

[0055] V2. Divide the interval [0, u] into h threshold intervals, and define the threshold interval into which the science and technology project retrieval frequency value TPi falls as the grade coefficient DJi of the science and technology project.

[0056] V3. Generate a sub-integrated form for the technology project by combining the technology project level coefficient DJi of the technology project with the list of technology projects with high relevance to the technology project in the high relevance technology project form. Finally, summarize all the technology project sub-integrated forms into a technology project integrated form.

[0057] The frequency integration module compresses and integrates science and technology projects based on the science and technology project integration form to obtain a compressed science and technology project package. This means that, in the sub-integration forms of the science and technology projects of the science and technology project, the sub-integration forms of the science and technology projects with a grade coefficient DJi lower than r are first deleted, and then the first gi preset number of science and technology projects in the high-relevance science and technology project forms of the science and technology project are obtained according to the grade coefficient DJi of the science and technology project and compressed together to obtain a compressed science and technology project package.

[0058] The technology project search module is used to search for and retrieve technology projects based on the input target. The technology project classification and storage module, or the frequency integration module, refers to the compressed technology project packages:

[0059] The system searches for the target's corresponding grade coefficient DJi based on the input. Then, it compares r with the target's grade coefficient DJi. If the target's grade coefficient DJi is lower than r, it retrieves the target information from the science and technology project classification storage module. Otherwise, it retrieves the target's science and technology project compressed package from the frequency integration module, decompresses it, and displays it.

[0060] Example 2

[0061] The average retrieval depth value SD i in Example 1 was obtained in the following way:

[0062] Record the number of pages Pi of search results viewed by the user in a single visit, the total number of pages YS of search results, and the total number of clicks k of search results by the user. Then, substitute these values ​​into the formula for calculating the average search depth SDi. p is a positive integer, i = 1, 2, 3, 4, ..., k, where k is a positive integer.

[0063] More specifically, the frequency integration module includes a retrieval frequency analysis unit, a graded unit, a matching unit, and a compression unit. The retrieval frequency analysis unit performs retrieval frequency analysis based on the retrieval information set to obtain a collection of science and technology project retrieval frequency values. Then, the graded unit performs graded processing based on the science and technology project retrieval frequency values ​​TPi in the collection to obtain science and technology projects with different graded coefficients DJi. Next, the matching unit matches science and technology projects with different graded coefficients DJi with a form of highly relevant science and technology projects to obtain an integrated science and technology project form. This integrated form consists of multiple sub-integrated science and technology project forms. The compression unit compresses and integrates the science and technology projects based on the integrated form to obtain a compressed science and technology project package. Furthermore, in the sub-integrated science and technology project forms of this project, the compression unit first deletes sub-integrated science and technology project forms with graded coefficients DJi lower than r, and then further compresses the forms based on the graded coefficients DJi of the science and technology projects. i. Obtain the first gi preset number of technology projects from the highly relevant technology project form and compress them together to obtain a technology project compressed package. For example, divide the [0, u] into h threshold intervals. Define the threshold interval into which the technology project retrieval frequency value TPi falls as the level coefficient DJi of the technology project. If h is 4, then the technology project level coefficient DJi is level coefficient DJ1, level coefficient DJ2, level coefficient DJ3 and level coefficient DJ4, representing the first level technology project, the second level technology project, the third level technology project and the fourth level technology project, respectively. The first gi preset number of the first level technology project, the second level technology project, the third level technology project and the fourth level technology project are set to 4, 8, 16 and 32, respectively. The higher the level, the greater the retrieval frequency of the technology project.

[0064] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0065] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0066] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0067] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0068] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0069] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0070] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0071] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0072] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0073] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0074] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0075] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A computer data analysis and management system based on big data, characterized in that, It includes a technology project data collection module, a cloud database, a technology project correlation filtering module, a technology project classification and storage module, a frequency integration module, and a technology project search module; The technology project classification and storage module stores all project information for all technology projects. The cloud database contains search information for all technology projects within a set time period; The technology project data acquisition module is used to collect retrieval information from all technology projects within the cloud database and all information from the technology project classification storage module, and organize them into related information sets and retrieval information sets respectively. The related information set consists of multiple sub-related information sets. The system consists of multiple sub-retrieval information sets. The science and technology project data collection module sends the associated information set to the science and technology project relevance filtering module, and the science and technology project data collection module sends the retrieval information set to the frequency integration module. The technology project correlation filtering module is used to perform technology project correlation analysis based on the correlation information set, obtain the technology project correlation value TGe, then filter the technology project correlation value TGe to obtain technology projects with high correlation, and then summarize all technology projects with high correlation to obtain a high correlation technology project form, and send it to the frequency integration module. The frequency integration module is used to perform retrieval frequency analysis based on the retrieval information set to obtain a collection of science and technology project retrieval frequency values. Then, it performs hierarchical processing based on the science and technology project retrieval frequency values ​​TPi in the collection to obtain science and technology projects with different level coefficients DJi. Next, it matches the science and technology projects with different level coefficients DJi with the form of highly relevant science and technology projects to obtain a science and technology project integration form. The science and technology project integration form consists of multiple science and technology project sub-integration forms. Based on the science and technology project integration form, the science and technology projects are compressed and integrated to obtain a science and technology project compressed package. The technology project search module is used to search for technology projects based on the input target and to retrieve information from the technology project classification storage module or compressed technology project packages from the frequency integration module.

2. The computer data analysis and management system based on big data according to claim 1, characterized in that, The science and technology project classification storage module consists of multiple classification storage units, and each classification storage unit is used to store all project information of all science and technology projects in a single field.

3. The computer data analysis and management system based on big data according to claim 1, characterized in that, The sub-association information set includes the title, submitter, organization name, keywords, code number, and brief description of the scientific and technological project; the sub-retrieval information set includes the number of searches m, average search duration SCi, and average search depth SDi for the scientific and technological project within the set time period. The average retrieval depth value SDi is obtained as follows: Record the number of pages Pi of search results viewed by the user in a single visit, the total number of pages YS of search results, and the total number of clicks k of search results by the user. Then, substitute these values ​​into the formula for calculating the average search depth SDi. p is a positive integer.

4. The computer data analysis and management system based on big data according to claim 1, characterized in that, The technology project relevance filtering module performs a technology project relevance analysis based on the relevance information set, obtaining a technology project relevance value (TGi). Then, it filters the technology projects based on the TGI value to identify those with high relevance. Finally, it summarizes all the technology projects with high relevance to obtain the high-relevance technology project form. S1. Arbitrarily select the sub - associated information sets of two scientific and technological projects, and mark the text similarity ratios in the title, submitter, unit name, keywords, and introduction text in the two sets as ST1 i, ST2 i, ST3 i, ST4 i, and ST5 i respectively; S2. Mark the ratio of the number of identical items with the same sequence of serial numbers in the coding numbers in the sub - associated information sets of the two scientific and technological projects in S1 to the total number of coding number items as ST6i; S3. Substitute ST1 i, ST2 i, ST3 i, ST4 i, ST5 i, and ST6i into the calculation formula of the association degree value TGi of scientific and technological projects: TGi = f1*ST1 i + f2*ST2 i + f3*ST3 i + f4*ST4 i + f5*ST5 i + f6*ST6 i, where f1, f2, f3, f4, f5, and f6 are all preset proportionality coefficients, and f1, f2, f3, f4, f5, and f6 are all positive integers, and f1 + f2 + f3 + f4 + f5 + f6 = 1; S4. Compare the association degree value TGi of scientific and technological projects with the preset association threshold R in the scientific and technological project association degree screening module. When the association degree value TGi of scientific and technological projects ≥ R, determine that the scientific and technological project is a scientific and technological project with high association degree. When the association degree value TGi of scientific and technological projects < R, determine that the scientific and technological project is not a scientific and technological project with high association degree; S5. Summarize all the scientific and technological projects determined to have high association degree in S4 to obtain a list of high - association - degree scientific and technological projects.

5. A computer data analysis and management system based on big data according to claim 1, characterized in that, The frequency integration module is used to perform a retrieval frequency analysis operation based on the retrieval information set, obtain a collection of scientific and technological project retrieval frequency values, and then perform a grading process based on the scientific and technological project retrieval frequency values TPi in the collection of scientific and technological project retrieval frequency values to obtain scientific and technological projects with different grade coefficients DJi. Then, match the scientific and technological projects with different grade coefficients DJi with the list of high - association - degree scientific and technological projects in the high - association - degree scientific and technological project form. What is meant by obtaining the scientific and technological project integration form is: V1. Substitute the retrieval times m, average retrieval duration value SCi, and average retrieval depth value SDi in the sub - retrieval information set into the calculation formula of the scientific and technological project retrieval frequency value TPi: TPi = f1*m + f2*SCi + f3*SDi; f1, f2, and f3 are the preset proportionality coefficients of the retrieval times m, average retrieval duration value SCi, and average retrieval depth value SDi respectively, and f1, f2, and f3 are all greater than 0; V2. Divide the interval [0, u] evenly into h threshold intervals, and determine the threshold interval into which the scientific and technological project retrieval frequency value TPi falls as the grade coefficient DJi of the scientific and technological project; V3. Generate a sub - integration form of the scientific and technological project for the scientific and technological project by combining the grade coefficient DJi of the scientific and technological project with the list of scientific and technological projects with high association degree of the scientific and technological project in the high - association - degree scientific and technological project form. Finally, summarize all the sub - integration forms of scientific and technological projects into the scientific and technological project integration form.

6. A computer data analysis and management system based on big data according to claim 1, characterized in that, The frequency integration module compresses and integrates science and technology projects based on the science and technology project integration form to obtain a compressed science and technology project package. This means that, in the sub-integration forms of the science and technology projects of the science and technology project, the sub-integration forms of the science and technology projects with a grade coefficient DJi lower than r are first deleted, and then the first gi preset number of science and technology projects in the high-relevance science and technology project forms of the science and technology project are obtained according to the grade coefficient DJi of the science and technology project and compressed together to obtain a compressed science and technology project package.

7. A computer data analysis and management system based on big data according to claim 1, characterized in that, The technology project search module is used to search for and retrieve technology projects based on the input target. The technology project classification and storage module, or the frequency integration module, refers to the compressed technology project packages: The system searches for the target's corresponding grade coefficient DJi based on the input. Then, it compares r with the target's grade coefficient DJi. If the target's grade coefficient DJi is lower than r, it retrieves the target information from the science and technology project classification storage module. Otherwise, it retrieves the target's science and technology project compressed package from the frequency integration module, decompresses it, and displays it.

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