CN111090395A - Intelligent electronic information storage system for accounting industry - Google Patents
Intelligent electronic information storage system for accounting industry Download PDFInfo
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- CN111090395A CN111090395A CN201911249819.0A CN201911249819A CN111090395A CN 111090395 A CN111090395 A CN 111090395A CN 201911249819 A CN201911249819 A CN 201911249819A CN 111090395 A CN111090395 A CN 111090395A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0614—Improving the reliability of storage systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
- G06F3/0644—Management of space entities, e.g. partitions, extents, pools
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0653—Monitoring storage devices or systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an electronic information intelligent storage system for the accounting industry, which comprises a big data statistical module, a data storage unit, a clock unit, a time input module, a retrieval module, an access limiter, a comparison unit, an access amount statistical module, a time limit statistical module, a capacity processing module, a capacity monitoring module, a user login module and an optical fiber exchanger, wherein the data storage unit is divided into three data storage partitions which respectively and correspondingly record property values of three different products, the clock unit is used for recording specific time and date, and the time input module is used for acquiring the time and date and writing the date into data information correspondingly stored in a background of the same day; the invention has the beneficial effects that: the method has the advantages that the date and the file name can be input during retrieval, the retrieval range is narrowed, the accuracy of searching the file is improved, the method is more efficient and faster, the access amount can be limited within a certain time according to the condition, and the service breakdown of the storage system is prevented.
Description
Technical Field
The invention relates to an information storage system, in particular to an electronic information intelligent storage system for the accounting industry, and belongs to the technical field of information storage of the accounting industry.
Background
The information storage is an information activity that stores the processed and sequenced information in a specific carrier according to a certain format and sequence, the purpose is to facilitate the information manager and the information user to quickly and accurately identify, position and retrieve the information, the information storage is to store the obtained or processed information for future application, the information storage is not an isolated link and is always throughout the whole process of the information processing work, the storage medium is divided into paper storage and electronic storage, different information can be stored on different media, the same information can also be stored on different media, the function can be different, the information storage is the basis of the information transmission in the time domain, and is also the basis of further integration, processing, accumulation and regeneration of the information, and has important significance in the human and social development, the paper making technology, the printing technology, the photography technology, the camera shooting technology, the sound recording technology, the video recording technology, the magnetic disk, the magnetic tape, the optical disk and the like are all technologies generated by information storage drive, the artificial information storage technology and equipment can possibly expand the storage capacity of the human brain in the aspects of storage capacity and access speed, the information storage is an important aspect of an information system, the collected and processed information is conveniently and fully utilized, the random access is ensured, conditions are created for the multifunctional utilization of unit information, the information storage can be used in the accounting field, the accounting is helped to carry out data statistics, storage and backup, and the accounting is convenient to call and use at any time.
The existing information storage system has the problems that when the user access amount exceeds a service threshold value too much, the storage system service collapse phenomenon can occur, the storage system cannot be normally accessed, an emergency coping scheme is not available, manual debugging is needed by background workers, the efficiency is not high enough in time during processing, the station occupation space of each piece of stored information cannot be calculated, processed and analyzed, when the residual storage amount reaches the threshold value, workers cannot be reminded of carrying out related backup and deletion operation in time, and the functions of the system need to be further completed and enhanced.
Disclosure of Invention
The invention aims to solve the problems that the conventional information storage system cannot normally access the storage system due to the phenomenon of service breakdown of the storage system when the user access amount exceeds a service threshold value, an emergency response scheme is not provided, manual debugging is needed by background workers, the efficiency is not high enough in time during processing, the station occupation space of each piece of stored information cannot be calculated, processed and analyzed, the workers cannot be timely reminded to perform related backup and deletion operations when the residual storage amount reaches the threshold value, the workers need to pay attention to the condition of the storage system all the time, and the manual labor amount is large, and provides an electronic information intelligent storage system for the accounting industry.
The purpose of the invention can be realized by the following technical scheme: an electronic information intelligent storage system for accounting industry comprises a big data statistics module, a data storage unit, a clock unit, a time input module, a retrieval module, an access limiter, a comparison unit, an access amount statistics module, a time limit statistics module, a capacity processing module, a capacity monitoring module, a user login module and an optical fiber exchanger;
the data storage unit is divided into three data storage subareas which are respectively used for correspondingly recording property values of three different products, the clock unit is used for recording specific time and date, the time input module is used for acquiring the time and date and writing the date into data information correspondingly stored in a background of the day, and the optical fiber exchanger is used for being connected with other terminal equipment through a network for information access;
the visit amount counting module is used for counting the visit amount of the user in one minute, the comparison unit is used for comparing the visit amount, the time-limited counting module is used for counting the visit amount in two hours, the visit limiter is used for limiting the visit times, and the specific processing steps are as follows:
the method comprises the following steps: acquiring the access times of different accounts within one minute, and adding the access times of the different accounts within one minute to obtain the total user access volume within one minute, wherein the total user access volume within one minute is marked as Q, and the upper limit access volume within one minute of the system is marked as W;
step two: when Q is larger than or equal to W, generating an access limiting command, sending the access limiting command to an access limiter, executing access limiting by the access limiter, popping an access limiting prompt box on a user interface, controlling the access frequency of each user once in ten seconds, simultaneously activating a time-limited counting module, counting the access amount in two hours by the time-limited counting module, marking the access amount in two hours as E, and marking the upper limit access amount in two hours of the system as 120W, when 120W is larger than E, generating an access limiting cancellation command, canceling the access frequency limiting once in ten seconds, popping a prompt box for canceling the limiting on the user interface, restoring the system access to normal, when 120W is smaller than or equal to E, not generating the limiting cancellation command, continuing the access frequency limiting to the next two hours, and repeating the operations;
when Q is less than or equal to W, no access limiting command is generated;
the big data statistical module is used for acquiring information data in the data storage unit and performing classified calculation processing on the information data, and the specific processing steps are as follows:
s01: acquiring memory usage parameters of three different products, wherein the usage of a product A is marked as AG, the usage of a product B is marked as BG, the usage of a product C is marked as CG, and the memory occupancy of the product is expressed as AG + BG + CG;
s02: by the formula
Obtaining the ratio of AG to the product memory occupation amount through a formula
Obtaining the ratio between BG and the product memory occupation amount through a formula
Obtaining the occupation ratio between CG and the memory of the product, and comparing the obtained three occupation ratios AK, BK and CK to obtain the product with the maximum occupation ratio;
s03, carrying out date identification on the product files with the maximum occupation ratio, classifying the files according to the date of the year and the month, creating a year table, classifying the files of the same year in the same year table, and marking the variable year as N;
s04: the month table is arranged below the year table, files with the same month in the same year are classified and divided, and the variable month is marked as Y;
s05: the monthly table comprises a day table, files in the same year and the same day in the month are classified and divided, the variable day is T, and NYT represents the establishing date of one file;
the capacity monitoring module is used for calculating the memory allowance of the data storage unit, and the specific processing is as follows:
a1: the total memory capacity is expressed as P, and the memory occupation amount of the product is AG + BG + CG;
a2: obtaining the residual storage volume V of the data storage unit through a formula P- (AG + BG + CG);
the retrieval module is used for quickly searching the information of the related corresponding keywords in the data storage unit, and the specific processing steps are as follows:
k1: the big data statistics module obtains the product information with the largest ratio and carries out date classification on corresponding product files, meanwhile, the big data statistics module obtains the name of the file name under the product, and the date information and the file name information are used as retrieval data information;
k2: the retrieval module inputs a file name in a first-level search bar, and the second-level search bar is used for inputting a date, inquiring files with identical data information in the data storage unit and acquiring files with the same date and name.
Further, the method comprises the following steps: the capacity processing module is used for acquiring the information value of the residual storage amount and comparing and judging the acquired information value of the residual storage amount, and the specific processing steps are as follows:
step A11: obtaining residual storage information V, wherein a residual threshold value is represented as X, and comparing V with X;
step A12: when V is larger than X, the data storage unit has enough memory space to store new information data, and when V is smaller than or equal to X, the data storage unit has insufficient memory space to store new information data, and a prompt window is generated to prompt a background administrator to backup and clean the data in time.
Further, the method comprises the following steps: the user login module is used for logging in account information of a user, and the specific processing process is as follows:
b1: acquiring an account name and a password of a user, and calling a key value user name out to search in a background;
b2: searching account data identical to the user name, popping up a prompt window with wrong user name when the account with the same user name is not searched, indicating that the user needs to input the user name and the password again when the login fails, checking the password related to the user name which is logging in with the matched background account password when the account with the same user name is searched in the background, popping up the prompt window with wrong account password when the account password is checked in error, failing to log in, needing to input the password again, and successfully logging in the user to acquire the access right when the account password is checked in error.
Further, the method comprises the following steps: the data storage unit adopts LZW compression when storing information data.
Compared with the prior art, the invention has the beneficial effects that:
1. the visit amount counting module can obtain the total user visit amount of the logged-in visiting user in one minute, the comparison unit is utilized to compare the total user visit amount in one minute with the upper limit threshold of the system, when the actual visit amount is larger than or equal to the threshold of the system visit amount, the visit limiter executes the restricted visit, the user interface pops up the visit restricted prompt box, the visit frequency of each user is controlled once per ten seconds to relieve the system pressure, prevent the system from crashing, ensure the normal operation of the system, and simultaneously activate the time-limited counting module, the time-limited counting module counts the visit amount in two hours, when the actual visit amount in two hours is smaller than the system visit threshold of two hours, the visit frequency restriction of once per ten seconds is cancelled, the user interface pops up the prompt box for canceling the restriction, the system visit is recovered to normal, when the actual visit amount in two hours is larger than or equal to the system visit threshold of two hours, and when the access amount is stable in the next time period, the limitation is released, and the user can freely access the system without limit.
2. The big data statistics module can acquire the information data in the data storage unit and classify, calculate and process the information data to obtain the usage proportion of different products, obtain the product information of the biggest proportion through three proportions, can more clearly and visually judge the product information that has the biggest work load, and rearrange the labor division according to the product information of the biggest work load.
3. The capacity monitoring module can perform memory allowance calculation processing on the data storage unit to obtain the residual memory capacity of the data storage unit, the residual memory capacity is compared with a allowance threshold value, when the residual memory capacity is larger than the allowance threshold value, it is indicated that the data storage unit has enough memory space to store new information data, when the residual memory capacity is smaller than or equal to the allowance threshold value, it is indicated that the data storage unit does not have enough memory space to store new information data, a prompt window is generated at the moment, a background manager is prompted to backup and clear the data in time, the capacity monitoring module has a real-time detection reminding function, and background workers can deal with problems in time without paying attention to the storage capacity information all the time.
4. Through the cooperation of the big data module and the detection module, the date and the filename can be input during retrieval, the retrieval range is narrowed, the accuracy of searching for the file is increased, and the method is more efficient and faster.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system framework diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an electronic information intelligent storage system for accounting industry includes a big data statistics module, a data storage unit, a clock unit, a time entry module, a retrieval module, an access limiter, a comparison unit, an access amount statistics module, a time-limited statistics module, a capacity processing module, a capacity monitoring module, a user login module, and an optical fiber exchanger;
the data storage unit is divided into three data storage subareas which are respectively used for correspondingly recording property values of three different products, the clock unit is used for recording specific time and date, the time input module is used for acquiring the time and date and writing the date into data information correspondingly stored in a background of the day, and the optical fiber exchanger is used for being connected with other terminal equipment through a network for information access;
the visit amount counting module is used for counting the visit amount of the user in one minute, the comparison unit is used for comparing the visit amount, the time-limited counting module is used for counting the visit amount in two hours, the visit limiter is used for limiting the visit times, and the specific processing steps are as follows:
the method comprises the following steps: acquiring the access times of different accounts within one minute, and adding the access times of the different accounts within one minute to obtain the total user access volume within one minute, wherein the total user access volume within one minute is marked as Q, and the upper limit access volume within one minute of the system is marked as W;
step two: when Q is larger than or equal to W, generating an access limiting command, sending the access limiting command to an access limiter, executing access limiting by the access limiter, popping an access limiting prompt box on a user interface, controlling the access frequency of each user once in ten seconds, simultaneously activating a time-limited counting module, counting the access amount in two hours by the time-limited counting module, marking the access amount in two hours as E, and marking the upper limit access amount in two hours of the system as 120W, when 120W is larger than E, generating an access limiting cancellation command, canceling the access frequency limiting once in ten seconds, popping a prompt box for canceling the limiting on the user interface, restoring the system access to normal, when 120W is smaller than or equal to E, not generating the limiting cancellation command, continuing the access frequency limiting to the next two hours, and repeating the operations;
when Q is less than or equal to W, no access limiting command is generated;
the big data statistical module is used for acquiring information data in the data storage unit and performing classified calculation processing on the information data, and the specific processing steps are as follows:
s01: acquiring memory usage parameters of three different products, wherein the usage of a product A is marked as AG, the usage of a product B is marked as BG, the usage of a product C is marked as CG, and the memory occupancy of the product is expressed as AG + BG + CG;
s02: by the formula
Obtaining the ratio of AG to the product memory occupation amount through a formula
Obtaining the ratio between BG and the product memory occupation amount through a formula
Obtaining the occupation ratio between CG and the memory of the product, and comparing the obtained three occupation ratios AK, BK and CK to obtain the product with the maximum occupation ratio;
s03, carrying out date identification on the product files with the maximum occupation ratio, classifying the files according to the date of the year and the month, creating a year table, classifying the files of the same year in the same year table, and marking the variable year as N;
s04: the month table is arranged below the year table, files with the same month in the same year are classified and divided, and the variable month is marked as Y;
s05: the monthly table comprises a day table, files of the same day in the same year and month are classified and divided, and the variable days are T; NYT indicates the date of creation of a file,
the capacity monitoring module is used for calculating the memory allowance of the data storage unit, and the specific processing is as follows:
a1: the total memory capacity is expressed as P, and the memory occupation amount of the product is AG + BG + CG;
a2: obtaining the residual storage volume V of the data storage unit through a formula P- (AG + BG + CG);
the retrieval module is used for quickly searching the information of the related corresponding keywords in the data storage unit, and the specific processing steps are as follows:
k1: the big data statistics module obtains the product information with the largest ratio and carries out date classification on corresponding product files, meanwhile, the big data statistics module obtains the name of the file name under the product, and the date information and the file name information are used as retrieval data information;
k2: the retrieval module inputs a file name in a first-level search bar, and a second-level search bar is used for inputting a date, inquiring files with identical data information in a data storage unit and acquiring files with the same date and name;
the capacity monitoring module is used for calculating the memory allowance of the data storage unit, and the specific processing is as follows:
a1: the total memory capacity is expressed as P, and the memory occupation amount of the product is AG + BG + CG;
a2: obtaining the residual storage volume V of the data storage unit through a formula P- (AG + BG + CG);
the capacity processing module is used for acquiring the information value of the residual storage amount and comparing and judging the acquired information value of the residual storage amount, and the specific processing steps are as follows:
step A11: obtaining residual storage information V, wherein a residual threshold value is represented as X, and comparing V with X;
step A12: when V is larger than X, the data storage unit has enough memory space to store new information data, and when V is smaller than or equal to X, the data storage unit has insufficient memory space to store new information data, and a prompt window is generated to prompt a background administrator to backup and clean the data in time;
the user login module is used for logging in the account information of the user, and the specific processing process is as follows:
b1: acquiring an account name and a password of a user, and calling a key value user name out to search in a background;
b2: searching account data identical to the user name, popping up a prompt window with wrong user name when the account with the same user name is not searched, indicating that the user needs to input the user name and the password again when the login fails, checking the password related to the user name which is logging in with the matched background account password when the account with the same user name is searched in the background, popping up the prompt window with wrong account password when the account password is checked in error, failing to log in, needing to input the password again, and successfully logging in the user to acquire the access right when the account password is checked in error.
The data storage unit employs LZW compression when storing information data.
When the invention is used, the account name and the password which need to be logged in are input through the user login module, the user login module calls out the key value user name to search in the background, the account data which is the same as the user name is searched, when the same user name account is not searched, a prompt window with wrong user name is popped up to indicate that the user needs to input the user name and the password again when the login fails, when the same user name account is searched in the background, the password related to the user name which is logging in is checked with the matched background account password, when the account password is checked incorrectly, the prompt window with wrong account password is popped up to indicate that the login fails, the password needs to be input again, when the account password is checked successfully, the user logs in successfully to obtain the access authority, the access amount counting module can obtain the total user access amount in one minute of the logged-in access user, the total visit amount in one minute is compared with the upper limit threshold value of the system by using a comparison unit, when the actual visit amount is more than or equal to the upper limit threshold value of the system, the access is limited by an access limiter, a user interface pops up an access limitation prompt box, the visit frequency of each user is controlled once in ten seconds to relieve the system pressure, prevent the system from crashing and ensure the normal operation of the system, a time-limited statistic module is activated at the same time, the visit amount in two hours is counted by the time-limited statistic module, when the actual visit amount in two hours is less than the system visit threshold value in two hours, the access frequency limitation once in ten seconds is cancelled, the user interface pops up a prompt box for canceling the limitation, the system visit is recovered to be normal, when the actual visit amount in two hours is more than or equal to the system visit threshold value in two hours, the visit limitation lasts to the next two hours, and the logged user can input the information data into, while writing and storing, the clock unit binds the real-time date information and the written information data and writes the data and the written information data into the data storage unit, a user can input key information through the retrieval module, the corresponding data information in the data storage unit is called out through the key information to be convenient to look up, the big data statistical module can acquire the information data in the data storage unit and perform classification calculation processing on the information data so as to obtain the usage ratios of different products, the product information with the maximum usage ratio is obtained through three ratios, the capacity monitoring module can perform memory margin calculation processing on the data storage unit so as to obtain the residual memory space of the data storage unit and compare the residual memory space with a margin threshold, and when the residual memory space is larger than the margin threshold, the data storage unit is indicated to have enough memory space to store new information data, when the residual storage capacity is less than or equal to the margin threshold value, the data storage unit is indicated to have insufficient memory space for storing new information data, a prompt window is generated at the moment, a background administrator is prompted to backup and clean the data in time, the storage system is connected with the network through the optical fiber exchanger, and a user can conveniently access the storage system through the network using terminal equipment.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. An electronic information intelligent storage system for accounting industry is characterized by comprising a big data statistics module, a data storage unit, a clock unit, a time input module, a retrieval module, an access limiter, a comparison unit, an access amount statistics module, a time limit statistics module, a capacity processing module, a capacity monitoring module, a user login module and an optical fiber exchanger;
the data storage unit is divided into three data storage subareas which are respectively used for correspondingly recording property values of three different products, the clock unit is used for recording specific time and date, the time input module is used for acquiring the time and date and writing the date into data information correspondingly stored in a background of the day, and the optical fiber exchanger is used for being connected with other terminal equipment through a network for information access;
the visit amount counting module is used for counting the visit amount of the user in one minute, the comparison unit is used for comparing the visit amount, the time-limited counting module is used for counting the visit amount in two hours, the visit limiter is used for limiting the visit times, and the specific processing steps are as follows:
the method comprises the following steps: acquiring the access times of different accounts within one minute, and adding the access times of the different accounts within one minute to obtain the total user access volume within one minute, wherein the total user access volume within one minute is marked as Q, and the upper limit access volume within one minute of the system is marked as W;
step two: when Q is larger than or equal to W, generating an access limiting command, sending the access limiting command to an access limiter, executing access limiting by the access limiter, popping an access limiting prompt box on a user interface, controlling the access frequency of each user once in ten seconds, simultaneously activating a time-limited counting module, counting the access amount in two hours by the time-limited counting module, marking the access amount in two hours as E, and marking the upper limit access amount in two hours of the system as 120W, when 120W is larger than E, generating an access limiting cancellation command, canceling the access frequency limiting once in ten seconds, popping a prompt box for canceling the limiting on the user interface, restoring the system access to normal, when 120W is smaller than or equal to E, not generating the limiting cancellation command, continuing the access frequency limiting to the next two hours, and repeating the operations;
when Q is less than or equal to W, no access limiting command is generated;
the big data statistical module is used for acquiring information data in the data storage unit and performing classified calculation processing on the information data, and the specific processing steps are as follows:
s01: acquiring memory usage parameters of three different products, wherein the usage of a product A is marked as AG, the usage of a product B is marked as BG, the usage of a product C is marked as CG, and the memory occupancy of the product is expressed as AG + BG + CG;
s02: by the formula
Obtaining the ratio of AG to the product memory occupation amount through a formula
Obtaining the ratio between BG and the product memory occupation amount through a formula
Obtaining the occupation ratio between CG and the memory of the product, and comparing the obtained three occupation ratios AK, BK and CK to obtain the product with the maximum occupation ratio;
s03, carrying out date identification on the product files with the maximum occupation ratio, classifying the files according to the date of the year and the month, creating a year table, classifying the files of the same year in the same year table, and marking the variable year as N;
s04: the month table is arranged below the year table, files with the same month in the same year are classified and divided, and the variable month is marked as Y;
s05: the monthly table comprises a day table, files in the same year and the same day in the month are classified and divided, the variable day is T, and NYT represents the establishing date of one file;
the capacity monitoring module is used for calculating the memory allowance of the data storage unit, and the specific processing is as follows:
a1: the total memory capacity is expressed as P, and the memory occupation amount of the product is AG + BG + CG;
a2: obtaining the residual storage volume V of the data storage unit through a formula P- (AG + BG + CG);
the retrieval module is used for quickly searching the information of the related corresponding keywords in the data storage unit, and the specific processing steps are as follows:
k1: the big data statistics module obtains the product information with the largest ratio and carries out date classification on corresponding product files, meanwhile, the big data statistics module obtains the name of the file name under the product, and the date information and the file name information are used as retrieval data information;
k2: the retrieval module inputs a file name in a first-level search bar, and the second-level search bar is used for inputting a date, inquiring files with identical data information in the data storage unit and acquiring files with the same date and name.
2. The intelligent electronic information storage system for the accounting industry as claimed in claim 1, wherein the capacity processing module is configured to obtain the information value of the remaining storage amount, and compare and judge the obtained information value of the remaining storage amount, and the specific processing steps are as follows:
step A11: obtaining residual storage information V, wherein a residual threshold value is represented as X, and comparing V with X;
step A12: when V is larger than X, the data storage unit has enough memory space to store new information data, and when V is smaller than or equal to X, the data storage unit has insufficient memory space to store new information data, and a prompt window is generated to prompt a background administrator to backup and clean the data in time.
3. The intelligent electronic information storage system for the accounting industry as claimed in claim 1, wherein the user login module is used for logging in the account information of the user, and the specific processing procedure is as follows:
b1: acquiring an account name and a password of a user, and calling a key value user name out to search in a background;
b2: searching account data identical to the user name, popping up a prompt window with wrong user name when the account with the same user name is not searched, indicating that the user needs to input the user name and the password again when the login fails, checking the password related to the user name which is logging in with the matched background account password when the account with the same user name is searched in the background, popping up the prompt window with wrong account password when the account password is checked in error, failing to log in, needing to input the password again, and successfully logging in the user to acquire the access right when the account password is checked in error.
4. The intelligent electronic information storage system for the accounting industry as claimed in claim 1, wherein the data storage unit adopts LZW compression when storing information data.
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