[go: up one dir, main page]

CN117290299B - Airport security management system dynamic association matching method and system and electronic equipment - Google Patents

Airport security management system dynamic association matching method and system and electronic equipment Download PDF

Info

Publication number
CN117290299B
CN117290299B CN202311174734.7A CN202311174734A CN117290299B CN 117290299 B CN117290299 B CN 117290299B CN 202311174734 A CN202311174734 A CN 202311174734A CN 117290299 B CN117290299 B CN 117290299B
Authority
CN
China
Prior art keywords
system file
data
database
airport
clause
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311174734.7A
Other languages
Chinese (zh)
Other versions
CN117290299A (en
Inventor
刘春晨
杜强
孙立志
高志婕
栾沛然
吴聪
张超
周立军
曹亚敬
高琳琳
赵凡
李飏
刘子旺
于畅洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Capital Airport Group Co ltd
Original Assignee
Capital Airport Group Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Capital Airport Group Co ltd filed Critical Capital Airport Group Co ltd
Priority to CN202311174734.7A priority Critical patent/CN117290299B/en
Publication of CN117290299A publication Critical patent/CN117290299A/en
Application granted granted Critical
Publication of CN117290299B publication Critical patent/CN117290299B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/13File access structures, e.g. distributed indices
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/14Details of searching files based on file metadata
    • G06F16/148File search processing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • G06F16/2237Vectors, bitmaps or matrices
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Library & Information Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a dynamic association matching method, a system and electronic equipment for an airport security management system, wherein the method comprises the following steps: s1, constructing a local system file database and an airport system file database according to a pyramid hierarchical structure; s2, constructing a linkage relation database based on the coded data A and the coded data B by the office system file database and the airport system file database; and S3, storing new local system file data according to a pyramid hierarchical structure by the local system file database, identifying changed clause codes in the code data A, screening and displaying corresponding chapter codes based on the code linkage relation of the linkage relation database. According to the invention, the coding linkage relation is constructed through the linkage relation database, the construction of the coding linkage relation is realized, the dynamic association matching of related contents is carried out through the sentence-level depth association matching model, the full coverage and the accurate supervision of the security management file are realized, and the efficiency and the accuracy of the security management are improved.

Description

Airport security management system dynamic association matching method and system and electronic equipment
Technical Field
The invention relates to the field of civil aviation safety quality file management, in particular to a dynamic association matching method and system for an airport safety management system and electronic equipment.
Background
At present, paper edition management is adopted for security quality management files in the civil aviation industry, the storage, transfer and searching of the files are troublesome, the situations of file loss, omission and the like are easy to occur, and office terms on which airport system files are marked cannot be realized. When a certain regulation of the industry regulation is changed, a great deal of manpower and material resources are required to search airport system files relevant to matching, and the files are modified. Therefore, the whole coverage and accurate supervision of the security management file (whether the data in the airport system file is consistent with the data in the local system file) cannot be realized, and the supervision inevitably causes loopholes and omission phenomena, so that the security management efficiency is reduced.
Disclosure of Invention
The invention aims to solve the technical problems pointed out in the background art and provides a dynamic association matching method, a dynamic association matching system and electronic equipment for an airport security management system.
The aim of the invention is achieved by the following technical scheme:
A dynamic association matching method of an airport security management system comprises the following steps:
S1, constructing a local system file database and an airport system file database according to a pyramid hierarchy structure, wherein the pyramid hierarchy structure of the airport system file database is associated and corresponds to the pyramid hierarchy structure of the local system file database; the bottom level of the pyramid hierarchy of the local system file database is clause and corresponding data, and the bottom level of the pyramid hierarchy of the airport system file database is chapter and corresponding data; collecting local system file data and storing the local system file data in a local system file database according to a pyramid hierarchical structure, collecting airport system file data and storing the airport system file data in the airport system file database according to the pyramid hierarchical structure, wherein chapters in the airport system file database comprise N pieces of data and correspond to the data of one clause in the local system file database;
S2, sequentially carrying out hierarchical coding on the local system file database according to a pyramid hierarchical structure to obtain coding data A, sequentially carrying out hierarchical coding on the airport system file database according to the pyramid hierarchical structure to obtain coding data B, constructing a linkage relation database on the basis of the coding data A and the coding data B, and constructing a fused coding linkage relation according to the clause coding and the chapter coding of the bottommost hierarchy of the linkage relation database, wherein the bottommost hierarchy of the coding linkage relation is the linkage relation fusion of the clause coding and the chapter coding;
S3, inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in code data A, screening and displaying corresponding chapter codes based on code linkage relations of a linkage relation database, outputting airport system file data corresponding to the chapter codes, and outputting and displaying according to the hierarchical structure; inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in coded data B, screening and displaying corresponding clause codes based on the coding linkage relation of a linkage relation database, outputting local system file data corresponding to the clause codes, and outputting and displaying according to the hierarchical structure.
In order to better realize the invention, the invention also comprises the following steps:
S4, constructing a sentence-level depth association matching model, extracting clause codes of a local system file database, and representing each sentence in the corresponding data by using the following vectors:
Wherein the method comprises the steps of Representing a j-th sentence corresponding to the clause code, and D representing n sentence sets corresponding to the clause code;
Extracting chapter codes of an airport system file database and representing each sentence in corresponding data by using the following vectors:
Wherein the method comprises the steps of Representing an ith sentence corresponding to the chapter code, and Q represents m sentence sets corresponding to the chapter code;
Taking a chapter sentence set Q as a query file, taking a clause sentence set D as a file to be retrieved, calculating to obtain the similarity of an ith sentence and the clause sentence set D by adopting a cosine similarity function, and forming a similarity set Z set according to the similarity height arrangement, wherein the cosine similarity function expression is as follows:
Wherein the method comprises the steps of Representing a cosine similarity function, h representing two sentence interaction matching degree functions,Representing the similarity of the ith sentence corresponding to the chapter code and the jth sentence corresponding to the clause code;
and selecting data with similarity larger than a threshold value based on the similarity set z set, and matching the linkage relation between sentences of the local side system file database and sentences of the airport system file database.
The further technical scheme is as follows: the invention also comprises the following steps:
S5, inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in code data A, screening and displaying corresponding chapter codes based on the code linkage relation of a linkage relation database, carrying out linkage relation matching on the changed clause codes and the chapter codes according to step S4, and carrying out relation matching output according to sentences; inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in code data B, screening and displaying corresponding clause codes based on code linkage relations of a linkage relation database, carrying out linkage relation matching on the changed chapter codes and the clause codes according to step S4, and carrying out relation matching output according to sentences.
Preferably, keywords with pyramid hierarchical structures of the local system file database and the airport system file database above the bottommost level are extracted, and the keywords are used as sentences to carry out corresponding verification or comparison output of the hierarchical relationship by adopting the method of the step S4.
Preferably, sentences of the data content corresponding to the coded data A of the local system file database are extracted, sentences of the data content corresponding to the coded data B of the airport system file database are extracted, and the linkage relation correspondence verification or comparison output of the relation database is carried out by adopting the method of the step S4.
Preferably, in step S1, a multi-source system file classification library with classification index numbers is constructed, the multi-source system file classification library includes a law single library, a regulation single library, a civil aviation regulation single library, a standardization file single library, a policy file single library and a standard standardization single library, the local system file database collects classification index numbers from the multi-source system file classification library and records the multi-source system file classification library at the same time, and the classification index numbers and the file name numbers of the multi-source system file classification library are marked by the bottom-level clauses in the local system file database.
The airport security management system dynamic association matching system comprises a data acquisition module, a database system, a dynamic association matching system and an output module, wherein the data acquisition module is used for acquiring local system file data and airport system file data, the database system comprises a local system file database, an airport system file database, a coding module A and a coding module B, the local system file database and the airport system file database store data according to a pyramid hierarchical structure and are associated and corresponding, the coding module A sequentially codes according to the pyramid hierarchical structure to obtain coding data A, and the coding module B sequentially codes according to the pyramid hierarchical structure to obtain coding data B; the dynamic association matching system comprises a linkage relation fusion module, wherein the linkage relation fusion module is used for constructing a linkage relation database based on coding data A and coding data B for a local system file database and an airport system file database, and the linkage relation database constructs a fused coding linkage relation according to the clause coding and the chapter coding of the bottommost level, and the bottommost level in the coding linkage relation is the linkage relation fusion of the clause coding and the chapter coding; inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in the code data A, and screening and displaying corresponding chapter codes and corresponding associated airport system file data by a dynamic association matching system based on the code linkage relation of a linkage relation database; inputting new airport system file data into an airport system file database, wherein the airport system file database stores the new airport system file data according to a pyramid hierarchical structure, identifies changed chapter codes in the code data B, and a dynamic association matching system screens and displays corresponding clause codes and corresponding associated local system file data based on the code linkage relation of the linkage relation database; the output module is used for outputting data.
In order to better realize the dynamic association matching system of the airport security management system, the dynamic association matching system further comprises a sentence-level depth association matching model, the sentence-level depth association matching model extracts the clause codes of the local system document database, the corresponding sentences in the data are expressed by vectors to obtain clause sentence sets, the sentence-level depth association matching model extracts the chapter codes of the airport system document database, the corresponding sentences in the data are expressed by vectors to obtain chapter sentence sets, the chapter sentence sets are used as query files, the clause sentence sets are used as files to be searched, the sentence-level depth association matching model adopts cosine similarity function to calculate the similarity of the ith sentence and the clause sentence sets in the chapter sentence sets and forms a similarity set z set according to the similarity height arrangement, and the data with the similarity larger than a threshold value are selected based on the similarity set z set, and the sentences of the local system document database and the sentences of the airport system document database are subjected to relation matching.
An electronic device comprising at least one processor, at least one memory and a data bus; wherein: the processor and the memory complete communication with each other through a data bus; the memory stores program instructions for execution by the processor that are invoked by the processor to perform the steps of the airport security system dynamic association matching method of the present invention.
Compared with the prior art, the invention has the following advantages:
(1) The invention realizes structuring and digitalization of office and airport system files, constructs coding linkage relation through the linkage relation database, constructs coding linkage relation, carries out dynamic association matching of related content through the sentence-level depth association matching model, recognizes and outputs and displays the change of the recognition data based on the linkage relation database according to a hierarchical structure, realizes full coverage and accurate supervision of security management files, avoids the situations of loopholes and omission, and improves the efficiency and accuracy of security management.
(2) The local system file is the minimum unit according to the clauses, and the airport system file is the minimum unit according to the chapters, so that a hierarchical database is established; and defining the airport system file as a query file, defining the local system file as a file to be retrieved, matching corresponding local system file terms for each level of chapter of the airport system file based on a sentence-level depth association model, and establishing a chapter-term corresponding relation between the local system file and the airport system file. In order to reduce repeated calculation, corresponding relation codes are compiled for the corresponding relation of office side and airport system files based on the established corresponding relation, and when the office side content changes, the system can automatically associate related content through the codes, so that linkage of link closing content and prompt of adaptive modification are facilitated; the method can help the airport to realize the fine management of the security management file and improve the security management level.
Drawings
FIG. 1 is a flow chart of a dynamic association matching method for airport security management system in an embodiment;
FIG. 2 is a schematic block diagram of a dynamic association matching system of an airport security management system in an embodiment;
FIG. 3 is a schematic diagram of a multi-source system file classification library according to an embodiment;
FIG. 4 is a schematic diagram of a multi-source system file classification library for further classification in an embodiment;
FIG. 5 is an exemplary schematic diagram of sentence-level depth-related matching model similarity calculation in an embodiment.
Detailed Description
The invention is further illustrated by the following examples:
Examples
As shown in FIG. 1, the method for dynamically associating and matching the airport security management system comprises the following steps:
S1, a local system file database and an airport system file database are constructed according to a pyramid hierarchical structure, and the pyramid hierarchical structure of the airport system file database is associated and corresponds to the pyramid hierarchical structure of the local system file database. The bottom level of the pyramid hierarchy of the local system file database (namely, the minimum unit according to the clause) is clause and corresponding data, and the bottom level of the pyramid hierarchy of the airport system file database (namely, the minimum unit according to the chapter) is chapter and corresponding data. The method comprises the steps that collected local system file data are stored in a local system file database according to a pyramid hierarchical structure, collected airport system file data are stored in an airport system file database according to the pyramid hierarchical structure, chapters in the airport system file database comprise N pieces of data and correspond to data of one clause in the local system file database, namely, the clauses in the local system file database and the data in the chapters are in one-to-one or one-to-many relation (for convenience in calculation, the clauses of the hierarchy are in one-to-one relation with the chapters of the hierarchy, and one-to-many relation exists between the clauses and the data in the chapters), so that a chapter-clause corresponding relation is constructed.
In some embodiments, as shown in fig. 3, a multi-source system file classification library with classification index numbers is constructed, wherein the multi-source system file classification library comprises a law single item library, a regulation single item library, a civil aviation regulation single item library, a policy file single item library and a standard regulation single item library, a local system file database collects classification index numbers which are derived from the multi-source system file classification library and record the multi-source system file classification library at the same time, and the classification index numbers and file name numbers of the multi-source system file classification library are marked by the bottom-level clauses in the local system file database; further preferred methods, as shown in fig. 4, the multi-source system file classification library of the present invention may further classify (for example, classify according to operation safety, planning construction, flight standard, control traffic management, etc., and record texts and time of laws, regulations, etc.), so as to facilitate the viewing of the texts during use.
S2, sequentially encoding the local system file database according to the pyramid hierarchy structure to obtain encoded data A, sequentially encoding the airport system file database according to the pyramid hierarchy structure to obtain encoded data B, constructing a linkage relation database based on the encoded data A and the encoded data B, and constructing a fused encoding linkage relation according to the clause encoding and the chapter encoding of the bottommost hierarchy of the linkage relation database, wherein the bottommost hierarchy of the encoding linkage relation is the linkage relation fusion of the clause encoding and the chapter encoding. Preferably, the linkage relation database performs coding fusion based on coding linkage relation, such as CCAR-140-R1-181, ZBAA-10-R2-10-2.2, and CCAR-140-R1-181/ZBAA-10-R2-10-2.2,3. When the contents of the office system files are changed, the office system files can be coded according to changed clauses, the related airport system files can be matched, chapters can be accurately positioned, differences of the file contents can be identified according to the sentence-level depth association model, and convenience is brought to airport business personnel to accurately manage the system files.
S3, inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in the code data A, screening and displaying corresponding chapter codes based on the code linkage relation of the linkage relation database, outputting airport system file data corresponding to the chapter codes, and outputting and displaying according to the hierarchical structure. Inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in coded data B, screening and displaying corresponding clause codes based on the coding linkage relation of a linkage relation database, outputting local system file data corresponding to the clause codes, and outputting and displaying according to the hierarchical structure.
In some preferred embodiments, the invention further comprises the following methods:
S4, constructing a sentence-level depth association matching model, extracting clause codes of a local system file database, and representing each sentence in the corresponding data by using the following vectors:
Wherein the method comprises the steps of The j-th sentence corresponding to the representation clause code, and D represents n sentence sets corresponding to the representation clause code.
Extracting chapter codes of an airport system file database and representing each sentence in corresponding data by using the following vectors:
Wherein the method comprises the steps of The ith sentence corresponding to the chapter code is represented, and Q represents the m sentence sets corresponding to the chapter code.
As shown in fig. 5, the chapter sentence set Q is used as a query file, the clause sentence set D is used as a file to be retrieved, the similarity between the ith sentence and the clause sentence set D is calculated by using a cosine similarity function, and the similarity set Z is formed by arranging the similarity functions according to the similarity height, and the cosine similarity function expression is as follows:
Wherein the method comprises the steps of Representing a cosine similarity function, h representing two sentence interaction matching degree functions,And the similarity of the ith sentence corresponding to the chapter code and the jth sentence corresponding to the clause code is represented. FIG. 5 is a simplified illustration of the principle of similarity calculation toFor example, similarity calculation is performed with respect to the clause sentence set D, and the example shows that the similarity calculation is performed with respect to And (4) performing similarity calculation, wherein the D2, D3 and D4 outputs have similarity, namely Q1D2, Q1D3 and Q1D3 respectively.
And selecting data with similarity larger than a threshold value based on the similarity set Z set, and carrying out linkage relation matching on sentences of the local side system file database and sentences of the airport system file database.
In some embodiments, the method further comprises: extracting keywords of pyramid hierarchical structures of the local system file database and the airport system file database above the bottommost level, and carrying out corresponding verification or comparison output of hierarchical relations by taking the keywords as sentences and adopting the method of the step S4; therefore, verification of association correspondence between the pyramid hierarchical structure of the airport system file database and the pyramid hierarchical structure of the local system file database can be further and accurately achieved through the sentence-level depth association matching model, accurate correspondence is conveniently obtained, and then two keywords are combined into a group for comparison and output, so that modification and adjustment are facilitated. Extracting sentences of data content corresponding to the coded data A of the local system file database, extracting sentences of data content corresponding to the coded data B of the airport system file database, and carrying out linkage relation corresponding verification or comparison output of the relation database by adopting the method of the step S4.
In some preferred embodiments, the invention further comprises the following methods:
S5, inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in code data A, screening and displaying corresponding chapter codes based on the code linkage relation of a linkage relation database, carrying out linkage relation matching on the changed clause codes and the chapter codes according to step S4, and carrying out relation matching output according to sentences. Inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in code data B, screening and displaying corresponding clause codes based on code linkage relations of a linkage relation database, carrying out linkage relation matching on the changed chapter codes and the clause codes according to step S4, and carrying out relation matching output according to sentences.
The airport security management system dynamic association matching system comprises a data acquisition module, a database system, a dynamic association matching system and an output module, wherein the data acquisition module is used for acquiring local system file data and airport system file data, the database system comprises a local system file database, an airport system file database, a coding module A and a coding module B, the local system file database and the airport system file database store data according to a pyramid hierarchical structure and are associated and corresponding, the coding module A sequentially codes according to the pyramid hierarchical structure to obtain coding data A, and the coding module B sequentially codes according to the pyramid hierarchical structure to obtain coding data B. The dynamic association matching system comprises a linkage relation fusion module, wherein the linkage relation fusion module is used for constructing a linkage relation database based on the coding data A and the coding data B for a local system file database and an airport system file database, the linkage relation database constructs a fused coding linkage relation according to the clause codes and the chapter codes of the bottommost layer, and the bottommost layer in the coding linkage relation is the linkage relation fusion of the clause codes and the chapter codes. And inputting new local system file data into the local system file database, wherein the local system file database stores the new local system file data according to a pyramid hierarchical structure, and recognizes the changed clause codes in the code data A, and the dynamic association matching system screens and displays the corresponding chapter codes and the corresponding associated airport system file data based on the code linkage relation of the linkage relation database. And inputting new airport system file data into an airport system file database, wherein the airport system file database stores the new airport system file data according to a pyramid hierarchical structure, identifies changed chapter codes in the code data B, and the dynamic association matching system screens and displays corresponding clause codes and corresponding associated local system file data based on the code linkage relation of the linkage relation database. The output module is used for outputting data.
The dynamic association matching system further comprises a sentence-level depth association matching model, the sentence-level depth association matching model extracts clause codes of the local system file database, each sentence in the corresponding data is expressed by vectors to obtain clause sentence sets, the sentence-level depth association matching model extracts chapter codes of the airport system file database, each sentence in the corresponding data is expressed by vectors to obtain chapter sentence sets, the chapter sentence sets are used as query files, the clause sentence sets are used as files to be searched, the sentence-level depth association matching model calculates by adopting a cosine similarity function to obtain the similarity of the ith sentence and the clause sentence sets in the chapter sentence sets, the similarity set z sets are formed according to the similarity height arrangement, and the data with the similarity larger than a threshold value are selected based on the similarity set z sets, and the sentences of the local system file database and the sentences of the airport system file database are in linkage relation matching.
An electronic device includes at least one processor, at least one memory, and a data bus. Wherein: the processor and the memory communicate with each other via a data bus. The memory stores program instructions for execution by the processor, and the processor invokes the program instructions to perform the steps of implementing the airport security system dynamic association matching method of the present invention.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (9)

1. A dynamic association matching method for an airport security management system is characterized in that: the method comprises the following steps:
S1, constructing a local system file database and an airport system file database according to a pyramid hierarchy structure, wherein the pyramid hierarchy structure of the airport system file database is associated and corresponds to the pyramid hierarchy structure of the local system file database; the bottom level of the pyramid hierarchy of the local system file database is clause and corresponding data, and the bottom level of the pyramid hierarchy of the airport system file database is chapter and corresponding data; collecting local system file data and storing the local system file data in a local system file database according to a pyramid hierarchical structure, collecting airport system file data and storing the airport system file data in the airport system file database according to the pyramid hierarchical structure, wherein chapters in the airport system file database comprise N pieces of data and correspond to the data of one clause in the local system file database;
S2, sequentially carrying out hierarchical coding on the local system file database according to a pyramid hierarchical structure to obtain coding data A, sequentially carrying out hierarchical coding on the airport system file database according to the pyramid hierarchical structure to obtain coding data B, constructing a linkage relation database on the basis of the coding data A and the coding data B, and constructing a fused coding linkage relation according to the clause coding and the chapter coding of the bottommost hierarchy of the linkage relation database, wherein the bottommost hierarchy of the coding linkage relation is the linkage relation fusion of the clause coding and the chapter coding;
S3, inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in code data A, screening and displaying corresponding chapter codes based on code linkage relations of a linkage relation database, outputting airport system file data corresponding to the chapter codes, and outputting and displaying according to the hierarchical structure; inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in coded data B, screening and displaying corresponding clause codes based on the coding linkage relation of a linkage relation database, outputting local system file data corresponding to the clause codes, and outputting and displaying according to the hierarchical structure.
2. The airport security system dynamic association matching method of claim 1, wherein: the method also comprises the following steps:
S4, constructing a sentence-level depth association matching model, extracting clause codes of a local system file database, and representing each sentence in the corresponding data by using the following vectors:
Wherein the method comprises the steps of Representing a j-th sentence corresponding to the clause code, and D representing n sentence sets corresponding to the clause code;
Extracting chapter codes of an airport system file database and representing each sentence in corresponding data by using the following vectors:
Wherein the method comprises the steps of Representing an ith sentence corresponding to the chapter code, and Q represents m sentence sets corresponding to the chapter code;
Taking a chapter sentence set Q as a query file, taking a clause sentence set D as a file to be retrieved, calculating to obtain the similarity of an ith sentence and the clause sentence set D by adopting a cosine similarity function, and forming a similarity set Z set according to the similarity height arrangement, wherein the cosine similarity function expression is as follows:
Wherein the method comprises the steps of Representing a cosine similarity function, h representing two sentence interaction matching degree functions,Representing the similarity of the ith sentence corresponding to the chapter code and the jth sentence corresponding to the clause code;
and selecting data with similarity larger than a threshold value based on the similarity set Z set, and carrying out linkage relation matching on sentences of the local side system file database and sentences of the airport system file database.
3. The airport security system dynamic association matching method of claim 2, wherein: the method also comprises the following steps:
s5, inputting new local system file data into a local system file database, storing the new local system file data according to a residual character tower hierarchical structure by the local system file database, identifying changed clause codes according to the code data A, screening and displaying corresponding chapter codes based on the code linkage relation of the linkage relation database, carrying out linkage relation matching on the changed clause codes and the chapter codes according to the step S4, and carrying out relation matching output according to sentences; inputting new airport system file data into an airport system file database, storing the new airport system file data according to a pyramid hierarchical structure, identifying changed chapter codes in code data B, screening and displaying corresponding clause codes based on code linkage relations of a linkage relation database, carrying out linkage relation matching on the changed chapter codes and the clause codes according to step S4, and carrying out relation matching output according to sentences.
4. The airport security system dynamic association matching method of claim 2, wherein: and (3) extracting keywords of pyramid hierarchical structures of the local system file database and the airport system file database above the bottommost level, and carrying out corresponding verification or comparison output of hierarchical relations by taking the keywords as sentences and adopting the method of the step S4.
5. The airport security system dynamic association matching method of claim 2, wherein: extracting sentences of data content corresponding to the coded data A of the local system file database, extracting sentences of data content corresponding to the coded data B of the airport system file database, and carrying out linkage relation corresponding verification or comparison output of the relation database by adopting the method of the step S4.
6. The airport security system dynamic association matching method of claim 1, wherein: in step S1, a multi-source system file classification library with classification index numbers is constructed, wherein the multi-source system file classification library comprises a law single library, a regulation single library, a civil aviation regulation single library, a policy file single library and a standard regulation single library, the local system file database collects the classification index numbers which are derived from the multi-source system file classification library and record the multi-source system file classification library at the same time, and the classification index numbers and the file name numbers of the multi-source system file classification library are marked by the bottom-level clauses in the local system file database.
7. A dynamic association matching system of an airport security management system is characterized in that: the system comprises a data acquisition module, a database system, a dynamic association matching system and an output module, wherein the data acquisition module is used for acquiring local system file data and airport system file data, the database system comprises a local system file database, an airport system file database, a coding module A and a coding module B, the local system file database and the airport system file database store data according to a pyramid hierarchical structure and are associated and corresponding, the coding module A sequentially codes according to the pyramid hierarchical structure in a hierarchical manner to obtain coding data A, and the coding module B sequentially codes according to the pyramid hierarchical structure in a hierarchical manner to obtain coding data B; the dynamic association matching system comprises a linkage relation fusion module, wherein the linkage relation fusion module is used for constructing a linkage relation database based on coding data A and coding data B for a local system file database and an airport system file database, and the linkage relation database constructs a fused coding linkage relation according to the clause coding and the chapter coding of the bottommost level, and the bottommost level in the coding linkage relation is the linkage relation fusion of the clause coding and the chapter coding; inputting new local system file data into a local system file database, storing the new local system file data according to a pyramid hierarchical structure, identifying changed clause codes in the code data A, and screening and displaying corresponding chapter codes and corresponding associated airport system file data by a dynamic association matching system based on the code linkage relation of a linkage relation database; inputting new airport system file data into an airport system file database, wherein the airport system file database stores the new airport system file data according to a pyramid hierarchical structure, identifies changed chapter codes in the code data B, and a dynamic association matching system screens and displays corresponding clause codes and corresponding associated local system file data based on the code linkage relation of the linkage relation database; the output module is used for outputting data.
8. The airport security system dynamic association and matching system of claim 7, wherein: the dynamic association matching system further comprises a sentence-level depth association matching model, the sentence-level depth association matching model extracts clause codes of the local system file database, each sentence in the corresponding data is expressed by vectors to obtain clause sentence sets, the sentence-level depth association matching model extracts chapter codes of the airport system file database, each sentence in the corresponding data is expressed by vectors to obtain chapter sentence sets, the chapter sentence sets are used as query files, the clause sentence sets are used as files to be searched, the sentence-level depth association matching model calculates the similarity of the ith sentence and the clause sentence sets in the chapter sentence sets by adopting a cosine similarity function, a similarity set Z set is formed according to the similarity height arrangement, and the data with similarity greater than a threshold value are selected based on the similarity set Z set, and the sentences of the local system file database and the sentences of the airport system file database are matched in a linkage relation.
9. An electronic device, characterized in that: comprising at least one processor, at least one memory and a data bus; wherein: the processor and the memory complete communication with each other through a data bus; the memory stores program instructions for execution by the processor, the processor invoking the program instructions to perform steps for implementing the airport security system dynamic association matching method of any of claims 1-6.
CN202311174734.7A 2023-09-12 2023-09-12 Airport security management system dynamic association matching method and system and electronic equipment Active CN117290299B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311174734.7A CN117290299B (en) 2023-09-12 2023-09-12 Airport security management system dynamic association matching method and system and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311174734.7A CN117290299B (en) 2023-09-12 2023-09-12 Airport security management system dynamic association matching method and system and electronic equipment

Publications (2)

Publication Number Publication Date
CN117290299A CN117290299A (en) 2023-12-26
CN117290299B true CN117290299B (en) 2024-07-02

Family

ID=89250994

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311174734.7A Active CN117290299B (en) 2023-09-12 2023-09-12 Airport security management system dynamic association matching method and system and electronic equipment

Country Status (1)

Country Link
CN (1) CN117290299B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110909114A (en) * 2019-11-13 2020-03-24 中国人民解放军92859部队 Method for associating unstructured navigation book-form with electronic chart
CN115563058A (en) * 2022-10-10 2023-01-03 广东海洋大学 Retrieval Method of Similar Cases Based on Element Extraction

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8196030B1 (en) * 2008-06-02 2012-06-05 Pricewaterhousecoopers Llp System and method for comparing and reviewing documents
US9324000B2 (en) * 2014-07-25 2016-04-26 Ca, Inc. Identifying objects in an image using coded reference identifiers
CN104573915B (en) * 2014-12-10 2019-01-11 中车青岛四方机车车辆股份有限公司 Bullet train product structure tree constructing method and device
CN105302914B (en) * 2015-11-13 2018-07-10 国家基础地理信息中心 A kind of topographic map cartographic data base Rapid Updating based on increment and linkage
CN111858823B (en) * 2020-07-28 2024-05-03 江苏物联网研究发展中心 HBase-based tile data storage and index establishment method, reading method and access device
CN112069236B (en) * 2020-09-03 2024-07-02 中国平安财产保险股份有限公司 Method, device, equipment and storage medium for displaying associated files
CN113780718B (en) * 2021-07-26 2024-02-06 青岛研博电子有限公司 GIS-based digital pipe network system for water service industry
CN116467410A (en) * 2023-04-25 2023-07-21 马上消费金融股份有限公司 Address matching method and device, electronic device, and computer-readable storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110909114A (en) * 2019-11-13 2020-03-24 中国人民解放军92859部队 Method for associating unstructured navigation book-form with electronic chart
CN115563058A (en) * 2022-10-10 2023-01-03 广东海洋大学 Retrieval Method of Similar Cases Based on Element Extraction

Also Published As

Publication number Publication date
CN117290299A (en) 2023-12-26

Similar Documents

Publication Publication Date Title
CN117290489B (en) A method and system for rapid construction of industry question and answer knowledge base
Ke et al. An intelligent design for remanufacturing method based on vector space model and case-based reasoning
CN109992645A (en) A kind of data supervision system and method based on text data
CN113919366A (en) Semantic matching method and device for power transformer knowledge question answering
CA3210419C (en) Method and system for extracting data from tables within regulatory content
CN114970508A (en) Power text knowledge discovery method and device based on data multi-source fusion
CN118503910A (en) Intelligent campus operation and maintenance data management method and system based on big data
CN118014072B (en) Construction method and system of knowledge graph for hydraulic and hydroelectric engineering
CN116629258B (en) Structured analysis method and system for judicial document based on complex information item data
CN120564202B (en) An intelligent management system for automatic document recognition based on OCR
CN120124594B (en) File digitalized storage management method
CN120407745A (en) An intelligent question-answering system method for air traffic control and navigation business knowledge
CN117150046A (en) Method and system for automatic task decomposition based on contextual semantics
CN119807446A (en) A method and system for constructing a water conservancy knowledge base based on a large model
CN119066151A (en) Construction behavior safety risk identification method based on knowledge graph and large language model
CN120338556B (en) Dynamic evaluation system and method for compliance management system based on artificial intelligence
CN117056510A (en) A method for automatic collection of information on multiple social conflicts and disputes
CN115797795A (en) Remote sensing image question-answering type retrieval system and method based on reinforcement learning
CN117290299B (en) Airport security management system dynamic association matching method and system and electronic equipment
CN121029784A (en) Intelligent Query Method for Power Plant Operation and Maintenance Knowledge Based on Large Language Model and RAG Technology
CN119963001A (en) A policy mining and intelligent interaction platform based on AI big model
CN120375400A (en) Occupational information assessment method based on rule judgment and large language model
CN119599600A (en) Electric power field digital project cost review method based on influence factors
KR102843407B1 (en) Method and system for text classification and dataset generation by topic
CN120705319B (en) Intelligent Industry Classification and Coding Methods and Devices in Social Surveys

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant