CN-122018780-A - Method and system for storing homeland resource investigation result based on artificial intelligence

CN122018780ACN 122018780 ACN122018780 ACN 122018780ACN-122018780-A

Abstract

The application relates to a method and a system for storing homeland resource investigation result based on artificial intelligence, which aim to solve the problems of low efficiency and insufficient intelligence of massive investigation result data in the process of storing and checking. The system comprises a survey result reading and analyzing unit, an MD5 storage and checking unit, an encryption information table, a search result storage and checking unit, a search result table, a search result storage and checking unit and a search result table. The system is also provided with a processing unit, and by maintaining log table and mapping relation pairs, historical verification experience is dynamically accumulated, and the characteristics of stable conclusion and high frequency occurrence are converted into a rapid judgment basis, so that an intelligent verification assembly line with self-learning and self-adaption capabilities is formed. The application obviously improves the automation level and the processing efficiency of storage verification while guaranteeing the data safety and the verification accuracy.

Inventors

ZHANG YIXIN
LV GUANGFENG
WANG CHAOXIA
HUANG LEI
GAO DASHAN
YI WENCHAO
LI NA
WU XIAOJUAN
CHEN ZHILIANG
ZHANG BOLUN
WANG PENGYI
Zhen Yali

Assignees

北京新兴科遥信息技术有限公司
浙江慧鹏地理信息技术有限公司

Dates

Publication Date: 20260512
Application Date: 20251210

Claims (10)

1. The system for storing the investigation result of the homeland resource based on the artificial intelligence is characterized by comprising the following components: The investigation result reading and analyzing unit is used for reading investigation results uploaded by the homeland resource investigation main body, carrying out information cutting analysis on the investigation results to remove investigation time periods and result information which have no influence on security level judgment, selecting a core legal investigation result, and adopting an MD5 hash algorithm to calculate an MD5 hash value of the legal investigation result; the MD5 storage verification unit is used for inquiring the MD5 storage verification mapping relation pair and confirming whether a key value pair exists in the MD5 storage verification mapping relation pair, and the MD5 value contained in the key value pair is equal to the MD5 hash value of the legal investigation result; If the key value pair exists, directly taking the storage check index in the key value pair as the final storage check result of the investigation result uploaded by the homeland resource investigation subject; The investigation result storage and verification unit is used for starting a verification flow based on an encryption information investigation result table and matching the legal investigation result with encryption information in the encryption information investigation result table when the MD5 storage and verification unit confirms that the matched key value pairs do not exist in the MD5 storage and verification mapping relation pair; If the legal investigation result is not matched with any encryption information, judging that the investigation result uploaded by the homeland resource investigation subject is qualified, and storing a verification result to pass; If the legal investigation result is matched with the encryption information, receiving a storage check request of a manager, and carrying out manual or semi-automatic deep storage check on the legal investigation result matched with the encryption information based on the storage check request to generate a storage check result of the investigation result uploaded by the homeland resource investigation subject; the MD5 storage verification mapping relation pair processing unit is used for carrying out synchronous operation on the logs in the log table based on the generated storage verification result after the storage verification of legal investigation results of the matched encryption information is completed by the investigation result storage verification unit; Each log in the log table comprises an MD5 value, a storage check index and 3 fields for storing check frequency; The MD5 storage verification mapping relation pair processing unit is further used for judging whether the storage verification frequency of the synchronized log exceeds a preset maximum threshold value, if so, deleting the log in the log table, and inserting the MD5 value and the storage verification index contained in the log into the MD5 storage verification mapping relation pair as a new key value pair to realize the precipitation and synchronization of verification knowledge.
2. The artificial intelligence based homeland resource survey outcome storage system of claim 1, further comprising: the investigation result reading and analyzing unit performs cut information analysis, and specifically includes: Carrying out structural analysis on the uploaded investigation result, and identifying and stripping metadata parts in the investigation result, wherein the metadata comprise investigation task initiating time, data processing log time stamp and auxiliary text information for format description; The stripping operation is performed based on a preset metadata tag library and a natural language processing model, so that only core geographic information entities, attribute data and spatial relationship data which directly influence data security level judgment are reserved, and legal investigation results are formed.
3. The artificial intelligence based homeland resource survey outcome storage system of claim 1, further comprising: Each key value pair in the MD5 storage verification mapping relation pair also comprises a legal period index, wherein the legal period index is an integer value which decreases with time or the running period of the system, and the initial value is set by the system; the MD5 storage verification unit executes the operation of resetting the legal period index in the key value pair to a preset maximum legal period T_max while confirming that the matched key value pair exists and directly returning to the storage verification index; The MD5 storage check mapping relation pair processing unit also periodically traverses all key value pairs, decrements the legal period index of the key value pairs by 1, and automatically deletes the key value pairs from the MD5 storage check mapping relation pair when detecting that the legal period index of a certain key value pair is decremented to 0.
4. The artificial intelligence based homeland resource survey outcome storage system of claim 1, further comprising: The MD5 stores synchronous operation of the check mapping relation to the processing unit to the log table, and specifically executes the following logic: Inquiring whether a log exists in a log table, wherein an MD5 value field of the log is equal to an MD5 hash value of legal investigation results of the current matching encryption information; if not, a log is newly added, an MD5 value field of the log is set as the MD5 hash value, a storage check index field is set as a storage check result generated at the time, a storage check frequency field is initialized to 1, and if yes, an adjustment logic is entered.
5. The artificial intelligence based homeland resource survey outcome storage system of claim 4, further comprising: comparing whether the generated storage check result is consistent with the storage check index field value of the existing log; If the values are consistent, the value of the storage check frequency field of the log is increased by 1, and if the values are inconsistent, the value of the storage check frequency field of the log is reduced by 1; Judging whether the reduced storage check frequency field value is smaller than a preset minimum threshold value F_min, if so, deleting the log from the log table, wherein the storage check frequency field reflects the consistency and stability of the historical storage check conclusion of the investigation result based on the same MD5 value.
6. The method for storing the investigation result of the homeland resource based on artificial intelligence is characterized by comprising the following specific steps: step S110, reading investigation results uploaded by a homeland resource investigation subject, removing auxiliary information which has no influence on security level judgment through cut information analysis, extracting legal investigation results, and calculating MD5 hash values of the legal investigation results; Step S120, inquiring the MD5 storage verification mapping relation pair, judging whether a key value pair exists in the MD5 storage verification mapping relation pair, wherein the MD5 value is equal to the MD5 hash value calculated in the step S110, if yes, executing the step S130, and if not, executing the step S140; step S130, directly using the stored check index in the matched key value pair as the final stored check result of the investigation result uploaded by the homeland resource investigation subject, and resetting the legal period index in the key value pair to be the maximum legal period T_max; Step S140, matching the legal investigation result with a preset encryption information investigation result table, judging that the investigation result is qualified if any encryption information is not matched, and storing and checking the result to pass if the encryption information is matched, receiving a storage and checking request of a manager, and carrying out deep storage and checking on the legal investigation result based on the request to generate a storage and checking result; Step S150, based on the generated storage verification result, updating a log table, inquiring whether a log with the MD5 value equal to the current MD5 hash value exists in the log table, if not, adding the log newly, if so, increasing or reducing the storage verification frequency according to whether the storage verification result is consistent, and deleting the log when the frequency is lower than the minimum value F_min; Step S160, checking the updated log, if the storage verification frequency of a certain log exceeds a preset maximum threshold value F_max, removing the log from the log table, and adding the MD5 value and the storage verification index of the log into the MD5 storage verification mapping relation pair as a new key value pair; Step S170, periodically decrementing the legal period index of all key value pairs in the MD5 memory check mapping relation pair by 1, and deleting the key value pairs with the legal period index decremented to 0 from the mapping relation.
7. The artificial intelligence-based homeland resource survey outcome storage method of claim 6, wherein the cut information analysis in step S110 specifically comprises: Carrying out structural analysis on the uploaded investigation result, and identifying and stripping metadata parts in the investigation result, wherein the metadata comprise investigation task initiating time, data processing log time stamp and auxiliary text information for format description; The stripping operation is performed based on a preset metadata tag library and a natural language processing model, so that only core geographic information entities, attribute data and spatial relationship data which directly influence data security level judgment are reserved, and legal investigation results are formed.
8. The artificial intelligence based homeland resource survey outcome storage method of claim 6, further comprising: in the step S130, each key value pair in the MD5 storage verification mapping relationship pair further includes a legal period indicator; The legal period index is an integer value which is decremented with time or the running period of the system, and the initial value is set by the system.
9. The artificial intelligence-based homeland resource survey result storage method of claim 6, wherein the specific logic for updating the log table in step S150 is: Inquiring whether a log with the MD5 value equal to the current MD5 hash value exists in the log table, if not, adding the log, setting an MD5 value field of the log to the MD5 hash value, setting a storage check index field to a storage check result generated at the time, and initializing a storage check frequency field to 1; If so, comparing whether the generated storage check result is consistent with the storage check index field value of the existing log; If the values are consistent, the stored check frequency field value of the log is increased by 1, if the values are inconsistent, the stored check frequency field value of the log is reduced by 1, whether the reduced stored check frequency field value is smaller than a preset minimum threshold value F_min is judged, and if the reduced stored check frequency field value is smaller than the preset minimum threshold value F_min, the log is deleted from the log table.
10. The artificial intelligence based homeland resource survey outcome storage method of claim 6, further comprising: In the step S170, the legal period index of all key value pairs in the MD5 memory check mapping relationship pair is periodically decremented by 1, and the key value pairs whose legal period index has been decremented to 0 are deleted from the mapping relationship.

Description

Method and system for storing homeland resource investigation result based on artificial intelligence Technical Field The application relates to the technical field of big data, in particular to a method and a system for storing homeland resource investigation results based on artificial intelligence. Background Along with the wide application of the informatization technology in the field of homeland resource management, massive investigation result data generated by various investigation subjects presents a continuously growing situation. The result data are not only important bases of homeland space planning, resource monitoring supervision and scientific decision, but also sensitive geospatial information and resource attribute data, and high requirements on the safety, integrity and verifiability of data storage are often related. Therefore, a set of efficient and reliable investigation result storage and verification mechanism is established, the reality, accuracy and compliance of the warehouse-in data are ensured, and the method becomes a basic and key task in the current national resource informatization construction. In prior art practice, storage verification of achievements typically relies on direct content comparison or fixed rule-based filtering mechanisms. When the method processes large-scale and multi-source data, the problems of low verification efficiency and insufficient adaptability often exist, repeated submission or highly similar results of contents are difficult to quickly identify, and data related to specific confidentiality requirements cannot be dynamically and intelligently managed and controlled. In addition, the conventional verification process lacks effective learning and evolution capability, and experience cannot be accumulated from the historical verification records to optimize subsequent verification efficiency, so that the processing performance of the system may be reduced along with the increase of the data volume. Thus, there is a need for a more intelligent memory verification scheme. The scheme can realize quick preliminary identification and duplication removal of investigation results, and can carry out accurate screening and key auditing on contents possibly related to sensitive information. By introducing the self-adaptive learning mechanism, the system can gradually convert the data characteristics which frequently occur and have stable check conclusion into a quick judgment basis, so that the overall processing efficiency and the automation level of the system are obviously improved while the check stringency is ensured, and the actual requirements of modern homeland resource investigation result management are met. Disclosure of Invention In order to achieve the above purpose, the present application provides the following technical solutions: according to a first aspect of the invention, the invention claims an artificial intelligence-based homeland resource investigation result storage system, which comprises the following components: The investigation result reading and analyzing unit is used for reading investigation results uploaded by the homeland resource investigation main body, carrying out information cutting analysis on the investigation results to remove investigation time periods and result information which have no influence on security level judgment, selecting a core legal investigation result, and adopting an MD5 hash algorithm to calculate an MD5 hash value of the legal investigation result; the MD5 storage verification unit is used for inquiring the MD5 storage verification mapping relation pair and confirming whether a key value pair exists in the MD5 storage verification mapping relation pair, and the MD5 value contained in the key value pair is equal to the MD5 hash value of the legal investigation result; If the key value pair exists, directly taking the storage check index in the key value pair as the final storage check result of the investigation result uploaded by the homeland resource investigation subject; The investigation result storage and verification unit is used for starting a verification flow based on an encryption information investigation result table and matching the legal investigation result with encryption information in the encryption information investigation result table when the MD5 storage and verification unit confirms that the matched key value pairs do not exist in the MD5 storage and verification mapping relation pair; If the legal investigation result is not matched with any encryption information, judging that the investigation result uploaded by the homeland resource investigation subject is qualified, and storing a verification result to pass; If the legal investigation result is matched with the encryption information, receiving a storage check request of a manager, and carrying out manual or semi-automatic deep storage check on the legal investigation result matched with the encryption information