CN113535689A - Database establishment management system for digital therapy - Google Patents
Database establishment management system for digital therapy Download PDFInfo
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- CN113535689A CN113535689A CN202110879605.2A CN202110879605A CN113535689A CN 113535689 A CN113535689 A CN 113535689A CN 202110879605 A CN202110879605 A CN 202110879605A CN 113535689 A CN113535689 A CN 113535689A
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Abstract
The invention relates to the technical field of database establishment management, in particular to a database establishment management system for digital therapy, which comprises a safety processing unit, a processor, an extraction unit, a sub-metering unit and a general display unit, wherein the safety processing unit is used for processing a plurality of data files; the safety processing unit comprises a recording processing unit and a certification processing unit, a user inputs actual output information related to the account of the user in the recording processing unit, the certification processing unit compares the actual output information and the registration information extracted from the recording processing unit and the extraction unit, outputs an input verification signaling and an error signaling, inputs and verifies the actual output information and the registration information according to the input verification signaling, realizes preliminary verification after comparing the account input by the user with the stored account, performs safety verification of account input after complete verification, combines the input habit of the user with the corresponding definition of a camera image of collected data, thereby increasing the safety of the account, and increasing guarantee for the storage and management of the data.
Description
Technical Field
The invention relates to the technical field of database establishment management, in particular to a database establishment management system for digital therapy.
Background
The database system is an ideal data processing system developed for adapting to the needs of data processing, is also a software system for providing data for a storage, maintenance and application system which can be actually operated, and is an aggregate of a storage medium, a processing object and a management system;
at present, along with the wide database system, people gradually develop a database establishment management system for performing safe and effective management on a database, the existing management system performs account login management through a manager, but the account of the management system is hidden in safety, the account often has a prompt of logging in at a different place, the data is easily tampered by other people, meanwhile, the expectation of the manager for searching related data after logging in the account cannot be achieved, so that the manager needs to input all searched data when searching the related data, and the time is consumed under the condition that the required data cannot be found completely;
to this end, we propose a database building management system for digital therapy.
Disclosure of Invention
The invention aims to provide a database establishment management system for digital therapy, which realizes preliminary verification after comparing an account input by a user with a stored account, performs safety verification of account input after the verification is completed, and combines the input habit of the user with the corresponding definition of a camera image of collected data, thereby increasing the safety of the account and guaranteeing the storage and management of the data; the recommended sorting data is obtained by processing the input and search information input by the user and the actual operation information in the extraction unit, the sorted data is sorted secondarily according to the past query habits of the user, and when the secondary sorting still cannot meet the requirements of the user, the related data of the secondary sorting is sorted for three times, so that the accuracy of data analysis is improved, the query habits of the user are fitted, the time is saved, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme:
a database establishment management system for digital therapy comprises a safety processing unit, a processor, an extraction unit, a scoring unit and a general display unit;
the safety processing unit comprises a recording processing unit and a certification processing unit, a user inputs actual input information related to the account of the user in the recording processing unit, the certification processing unit compares the actual input information and the registration information extracted from the recording processing unit and the extraction unit, and outputs an input and verification signaling and an error signaling;
inputting and verifying the actual input information and the registration information according to the input and verification signaling, and processing to obtain a jump signaling;
the processor jumps to an input interface according to the jump signaling, and a user inputs the input and search information needing to be managed in the input interface;
and the scoring unit is used for processing the input and search information input by the user and the actual operation information in the extraction unit to obtain recommended sequencing data.
Further, the registration information comprises transfusion data, finger images, part name data, input key data, initial definition, influence factors, initial speed, accounting data and registration data;
the real input information comprises a time point image, real account data, a real-time clear value and real code data;
the actual operation information comprises the data owned by the user, actual checking data, pushed checking data, actual selection data, actual consumption data, management and debugging data and error checking data.
Furthermore, the certificate processing unit firstly performs data matching on the accounting data and the real account data, and judges whether a corresponding input account exists in the extraction unit, namely the real account data;
and matching the bookkeeping data and the real code data according to the matching result of the bookkeeping data and the real account data.
Further, the certificate processing unit performs image processing on the image input data in the registration information, performs virtual imaging on the image input data, performs coordinate processing on the virtual imaging, and marks the initial knuckle coordinates of each finger of the user;
extracting each character corresponding to the code recording data, marking a keyboard corresponding to the character according to the code recording data, acquiring the position of a key corresponding to the code recording data, marking the key as a code recording coordinate, calculating the distance between the initial knuckle coordinate and the position of each code recording coordinate, and calculating distance data;
acquiring coordinates of each initial knuckle, and performing initial position processing on the coordinates to obtain range coordinates;
extracting a time point of a range coordinate belonging to the joint coordinate of the initial value of the user, and carrying out moving processing on the time point corresponding to the first password character input by the user to obtain a secret mean value;
identifying a finger joint corresponding to a finger pressing keyboard at a secret time point, calibrating the finger joint into a pressing finger joint, calculating the distance between the pressing finger joint and the pressing finger joint to calculate a secret proximity distance value, and performing a mean value calculation formula on the secret proximity distance value every time a user inputs a password to obtain a secret proximity distance mean value;
sequentially calculating a two-close-finger mean value and a two-close-distance mean value, a three-close-finger mean value and a three-close-distance mean value according to a calculation method of a one-close-finger mean value and a one-close-distance mean value;
the evidence processing unit calculates the actual speed according to the calculation formula real-time clear value-initial clear value = influence factor actual speed-initial speed;
comparing the finger speed difference value with a preset value M to generate error-free signaling and error signaling;
the distance change between the finger joint with the input password and the adjacent finger joint is marked as real adjacent distance data, and the real adjacent distance data, the n-close adjacent distance mean value and the preset value MM are subjected to signaling processing to generate feasible signaling and abnormal error signaling;
and extracting feasible signaling, abnormal error signaling, error-free signaling and error-free signaling, judging the feasible signaling, the abnormal error signaling, the error-free signaling and the error-free signaling, judging that no problem exists in input when the feasible signaling and the error-free signaling simultaneously appear, generating jump signaling, transmitting the jump signaling to the processor, and otherwise, automatically jumping to a login interface.
Further, the specific process of the initial position processing is as follows:
extracting the corresponding values of the X axis, the Y axis and the Z axis, respectively bringing the values into a mean value calculation formula, calculating the corresponding mean values of the X axis, the Y axis and the Z axis, simultaneously setting an offset preset value, performing addition and subtraction calculation on the offset preset value and the X axis, the Y axis and the Z axis, calculating the final values of the X axis, the Y axis and the Z axis, performing coordinate marking on the numerical values obtained by performing addition and subtraction calculation on the X axis, the Y axis and the Z axis and the offset preset value, respectively obtaining two different coordinates, calibrating the coordinates into a maximum coordinate value and a minimum coordinate value, and calibrating the coordinates between the maximum coordinate value and the minimum coordinate value into range coordinates.
Further, the specific process of performing the movement processing at the time point when the joint coordinate of the initial value of the user belongs to the range coordinate and the time point corresponding to the first password character input by the user is as follows:
extracting a time point of a range coordinate belonging to the joint coordinate of the initial value of the user, calibrating the time point as an initial time point, extracting a time point corresponding to the first password character input by the user, calibrating the time point as a secret time point, calculating the difference value between the secret time point and the initial time point, and calculating the time-secret finger value of finger movement;
extracting coordinates corresponding to the fingers, calibrating the coordinates into a dense index, performing distance calculation on the dense index and initial finger joint coordinates according to the pythagorean theorem, calculating a moving distance of the fingers, namely a dense moving distance value, performing speed calculation on the dense moving distance value and a dense finger speed value, and calculating a dense finger speed value;
calculating a secret finger speed value when the user inputs the password each time, and substituting the secret finger speed value into the mean value calculation formula to calculate a secret finger mean value.
Further, the specific process of comparing the finger speed difference value with the preset value M is as follows:
calculating the difference between the actual speed corresponding to each password and the corresponding n-secret finger average value to obtain a plurality of finger speed difference values, comparing the plurality of finger speed difference values with a preset value M, judging that the difference value is large when the finger speed difference value is greater than or equal to the preset value M, and calibrating the corresponding finger speed difference value as a finger speed differential value, otherwise, calibrating the corresponding finger speed differential value as a finger speed positive difference value;
counting the occurrence times of the pointing speed difference value and the pointing speed positive difference value, judging that the real-time password is correctly input when the pointing speed difference value is less than one third of the pointing speed positive difference value, and generating error-free signaling, otherwise judging that the real-time password is incorrectly input, and generating error signaling;
furthermore, after receiving the input and search information, the scoring unit marks each character in the input and search information, marks the input and search information as a long character string, and marks the character string as the input and search character;
extracting real check data corresponding to the same real check data selected by a user, and performing character extraction comparison on the real check data to obtain a plurality of abnormal characters with A matching degree and real check data;
extracting the actual consumption data, and bringing the actual consumption data into an average value calculation formula so as to calculate an average value corresponding to the actual consumption data, namely the actual consumption average value;
extracting the management data, and sequencing the names of the management data from large to small according to the number of times of modification;
counting the total times of actual checking data, selecting actual checking data corresponding to the error checking data, performing character matching on the actual checking data, selecting actual checking data corresponding to the error checking data, calibrating each character in the actual checking data, performing error degree matching on the calibrated character and the pushed checking data, and calibrating the calibrated character and the pushed checking data into B error degree;
extracting search input characters, eliminating characters and search pushing data corresponding to the error degree B, and screening the data which is congested into first data which is congested;
matching each character of the first owned data with the input and search character, matching the number of matched characters of each data and the input and search character in the first owned data, calibrating the number of matched characters as a matching number, sorting the matching degree according to the matching number, giving scores to the matching numbers matched in the first owned data, selecting the scores of corresponding data in the first owned data, and sorting the scores from large to small to obtain a recommended score sorting;
and adding scores according to the abnormal characters with the matching degree A and the actual checking data in the first owned data to obtain recommended sorting data for the user to select, and performing re-sorting recommendation according to the selection time of the user.
Further, when the PM is not selected when the user exceeds the preset time, the matching is automatically judged to be failed, a primary failure signaling is generated, the a score corresponding to the matching degree A is added and deleted according to the primary failure signaling, primary recommendation sequencing data is generated, otherwise, the recommendation is judged to be successful, and the A matching degree marking is carried out on the output query information and the corresponding data;
and when a primary failure signal is identified, re-recommending, changing the recommendation sequence into primary recommendation sequencing data, if the primary failure signal fails, generating a secondary failure signaling, adding data corresponding to the B error degree according to the secondary failure signaling, recalculating the sequencing score, generating secondary recommendation sequencing data, jumping to the recommendation sequencing data for re-recommending, modifying the recommendation sequence into secondary recommendation sequencing data, and when the secondary recommendation sequencing data is not selected within the set time PM, automatically generating an input failure signaling, jumping to an input interface, and re-inputting by a user.
The invention has the beneficial effects that:
(1) the account input by the user is compared with the stored account to realize preliminary verification, after the verification is completed, the safety verification of the account input is carried out, and the input habit of the user and the definition corresponding to the camera image of the collected data are combined, so that the safety of the account is improved, and the storage and the management of the data are ensured;
(2) the recommended sorting data is obtained by processing the input and search information input by the user and the actual operation information in the extraction unit, the sorted data is sorted secondarily according to the past query habits of the user, and when the secondary sorting still cannot meet the requirements of the user, the related data of the secondary sorting is sorted for three times, so that the accuracy of data analysis is improved, the query habits of the user are fitted, the time is saved, and the working efficiency is improved.
Drawings
The invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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, the present invention is a database establishment management system for digital therapy, including a security processing unit, a processor, an extraction unit, a score counting unit and a communication display unit;
the safety processing unit comprises a recording processing unit and an evidence processing unit, wherein the recording processing unit is used for a user to log in an account of the user, automatically extracting actual input information related to the user login account and transmitting the actual input information to the evidence processing unit;
the extraction unit is used for storing the registration information of the login account of the user before the time point, the certificate processing unit acquires the registration information from the extraction unit and carries out the security operation on the registration information and the real input information together, and the specific operation process of the security operation is as follows:
acquiring registration information, marking an account and a password input by a user in the registration information as accounting data and registration code data respectively, marking the account and the password input by the user in real time in real information input as real account data and real code data respectively, and comparing the real account data and the real code data:
when the matching results of the bookkeeping data and the real account data are inconsistent, judging that the account does not exist, generating a login error signal, generating an error signaling, and when the matching results of the bookkeeping data and the real account data are consistent, judging that the account exists, and generating a secret check signaling;
performing corresponding operation according to the error signaling and the secret check signaling, specifically: logging again according to the error signaling, namely jumping to a logging interface again, carrying out password verification according to the password verification signaling, and automatically extracting corresponding code recording data and real code data;
comparing according to the comparison method of the bookkeeping data and the real bookkeeping data so as to obtain corresponding error signaling and input and check signaling, and performing input verification according to the input and check signaling;
the specific verification process of input verification is as follows:
image processing is carried out on the image input data of the account number input every time in the registered information, virtual imaging is carried out on the image, virtual space coordinate marking is carried out on the virtual imaging, the position of the second joint of each fingertip in the palm direction at two different time points is extracted according to the finger image and the part name data in the registered information, and the position is marked as the initial finger joint coordinate, wherein the marking of the joint comprises the left hand and the right hand, and the joint is sequentially marked as the first joint to the tenth joint from left to right;
extracting each character corresponding to the code recording data, marking a keyboard corresponding to the character according to the code recording data, specifically marking the character as 1, 2, a.
Acquiring coordinates of each initial knuckle, extracting values of an X axis, a Y axis and a Z axis corresponding to the initial knuckle, respectively bringing the values into a mean value calculation formula, calculating corresponding mean values of the X axis, the Y axis and the Z axis, simultaneously setting a deviation preset value, performing addition and subtraction calculation on the deviation preset value and the X axis, the Y axis and the Z axis, calculating final values of the X axis, the Y axis and the Z axis, performing coordinate marking on numerical values obtained by performing addition and subtraction calculation on the X axis, the Y axis and the Z axis and the deviation preset value, respectively obtaining two different coordinates, calibrating the coordinates into a maximum coordinate value and a minimum coordinate value, and calibrating the coordinates between the maximum coordinate value and the minimum coordinate value into range coordinates;
extracting a time point of a range coordinate belonging to an initial value joint coordinate of a user, calibrating the time point as an initial time point, extracting a time point corresponding to a first password character input by the user, calibrating the time point as a secret time point, calculating a difference value between the secret time point and the initial time point, calculating a secret finger time value of the moving time of a finger, extracting a coordinate corresponding to the finger, calibrating the coordinate as a secret index, calculating a distance between the secret index and the initial joint coordinate according to a Pythagorean theorem, calculating a secret shift distance value of the moving distance of the finger, calculating a speed of the secret shift distance value and the secret finger time value, calculating a secret finger speed value when the user inputs a password each time, bringing the secret finger speed value into a mean value calculation formula, and calculating a secret finger mean value;
identifying a finger joint corresponding to a finger pressing keyboard at a secret time point, namely identifying one to ten finger joints, calibrating the finger joint as a pressing finger joint, selecting a finger joint adjacent to the pressing finger joint, extracting corresponding coordinate points, performing distance calculation on the coordinate points and a secret finger mark according to the pythagorean theorem, calculating the distance between the pressing finger joint and the adjacent finger joint, and calibrating the distance as a secret adjacency distance value, wherein two secret distance values are provided under the normal condition;
sequentially calculating a two-close-finger mean value and a two-close-distance mean value, a three-close-finger mean value and a three-close-distance mean value according to a calculation method of a one-close-finger mean value and a one-close-distance mean value;
the camera that still stores when gathering every password of user input records the definition in the extraction unit, the influence factor of speed influence definition and the initial velocity that does not influence the definition, the card processing unit discernment definition, and carry out numerical value conversion with it, extract the numerical value after the conversion, and mark it as initial definition value, the time point image when corresponding finger joint password input in the extraction real input information, discern its definition, and carry out numerical value conversion to it, the definition after the numerical value conversion is marked as real-time definition value, and substitute the formula with it: calculating the actual speed by using the real-time clear value-initial clear value = influence factor-actual speed-initial speed, wherein the calculation formula only selects the numerical values of the influence factor and the actual speed and does not select the unit of the numerical values;
calculating the difference between the actual speed corresponding to each password and the corresponding n-secret finger average value to obtain a plurality of finger speed difference values, comparing the plurality of finger speed difference values with a preset value M, judging that the difference value is large when the finger speed difference value is larger than or equal to the preset value M, marking the corresponding finger speed difference value as a finger speed difference value, otherwise marking the finger speed difference value as a finger speed positive difference value, counting the times of the finger speed difference value and the finger speed positive difference value, judging that the real-time password input is correct when the finger speed difference value is smaller than one third of the finger speed positive difference value, generating a no-error signaling, and otherwise judging that the real-time password input is wrong, and generating an error signaling;
extracting an image when a corresponding knuckle password in the real input information is input, carrying out coordinate marking on the image to obtain a coordinate point of each knuckle when each password is input, identifying the knuckle of the input password, calculating the distance change between the knuckle of the input password and an adjacent knuckle according to the Pythagorean theorem, calibrating the change into real adjacent distance data, carrying out difference calculation on the real adjacent distance data and a corresponding n-close adjacent distance mean value to calculate an actual difference, carrying out positive and negative value judgment on the difference, judging the difference to be a positive value when the actual difference is larger than or equal to a preset value MM, otherwise judging the difference to be a negative value, counting the positive value and the negative value, carrying out verification judgment according to the times of the positive value and the negative value, judging that the real-time password input is correct when the negative value is smaller than the time that one half of the positive value appears, and generating a feasible signaling, otherwise, generating an error signaling;
extracting feasible signaling, abnormal error signaling, error-free signaling and error-free signaling, judging the feasible signaling, the abnormal error signaling, the error-free signaling and the error-free signaling, judging that no problem exists in input when the feasible signaling and the error-free signaling simultaneously appear, generating jump signaling, transmitting the jump signaling to a processor, and otherwise, automatically jumping to a login interface;
the method comprises the steps of marking a moving image of a hand inputting an account every time in registered information as output image data, marking an image of a finger part of a user in the registered information as a finger part image, marking a name corresponding to the image of the finger part in the registered information as part name data, marking a keyboard corresponding to the input account of the user and a password in the registered information as input key data, marking the definition of a camera acquiring information in the registered information as initial definition, marking an influence value of speed in the registered information on the definition as an influence factor, marking a speed which does not influence the definition of the camera in the registered information as initial speed, and marking an image of the password input by the user in real input information as a time point image;
the processor automatically skips to an input interface after receiving the skipping signaling, a user inputs the input and check information needing to be managed in the input interface, the processor transmits the input and check information to the sub-metering unit, and the extracting unit stores the actual operation information recorded during the previous user operation;
after receiving the input and search information, the scoring unit marks each character in the input and search information, marks the input and search information as a long character string, and marks the character string as an input and search character;
acquiring real operation information in an acquisition and extraction unit, and extracting data, real check data, pushed check data, real selection data, real consumption data, management data and error check data which are contained in the real operation information, wherein the real check data refers to character data input by each inquiry, the real selection data refers to content given by a user selection system each time, the real consumption data refers to time consumed by the user for selecting the content, the management data refers to relevant data modified and adjusted after the user inquires the data each time, the error check data refers to times recommended to the user each time and not selected by the user, the pushed check data refers to recommended data corresponding to the real check data, and the contained data refers to times and names of all data modification in the real operation information;
acquiring real selection data, performing matching degree processing, selecting real search data corresponding to the same real selection data selected by a user, extracting characters corresponding to the real search data, performing character matching on the real search data and the characters, extracting abnormal characters, performing data association according to the abnormal characters, performing A matching degree marking on the abnormal characters and the corresponding real selection data, namely extracting corresponding real search data when the abnormal characters are input, marking the abnormal characters and the real search data as A matching degrees, and repeating the matching degree processing to obtain a plurality of abnormal characters and real search data with A matching degrees;
extracting the actual consumption data, and bringing the actual consumption data into an average value calculation formula so as to calculate an average value corresponding to the actual consumption data, namely the actual consumption average value;
extracting the management data, and sequencing the names of the management data from large to small according to the number of times of modification;
extracting real check data, counting the total times of the real check data, selecting real check data corresponding to the error check data, performing character matching on the real check data, selecting real check data corresponding to the error check data, calibrating each character in the real check data, performing error degree matching on the calibrated character and the pushed check data, and calibrating the calibrated character and the pushed check data into B error degree;
extracting the input and search characters, and screening the characters and the pushed and search data corresponding to the B error degree for the first time, when the characters corresponding to the B error degree are matched in the input and search characters, automatically extracting the corresponding pushed and search data, marking the pushed and search data as filtered data, selecting the data which is congested and is subjected to filtering data elimination, and marking the data as first data which is congested;
acquiring input and search characters and first owned data, marking each character of the first owned data, matching the character with the input and search characters, matching the number of matched characters of each data and the input and search characters in the first owned data, calibrating the number of matched characters as a matching number, sorting the matching number according to the matching number, giving scores to the matching number matched in the first owned data, selecting scores of corresponding data in the first owned data, and sorting the scores from large to small to obtain recommended score sorting;
matching the first owned data with the heterogeneous characters corresponding to the matching degree A, so as to select real selection data corresponding to the matching degree A, adding the score a corresponding to the matching degree A to the corresponding real selection data, adding the score a to corresponding data in a corresponding recommendation score sequence, and reordering the recommendation score sequence to obtain recommendation sequence data for a user to select;
when a primary failure signal is identified, re-recommending, changing the recommendation sequence into primary recommendation sequencing data, if the primary failure signal fails, generating a secondary failure signaling, adding data corresponding to the B error degree according to the secondary failure signaling, recalculating the sequencing score, generating secondary recommendation sequencing data, jumping to the recommendation sequencing data for re-recommending, modifying the recommendation sequence into secondary recommendation sequencing data, and when the secondary recommendation sequencing data is not selected within a set time PM, automatically generating an input failure signaling, jumping to an input interface, and re-inputting by a user;
the general display unit is used for the user to watch the whole process processed by the system.
When the safety processing unit works, a user inputs real input information related to an account of the user in the recording processing unit, the certificate processing unit performs information comparison processing on the real input information and the registration information extracted from the recording processing unit and the extracting unit, and outputs an input and verification signaling and an error signaling; inputting and verifying the registration information including the input shadow data, the finger part image, the part name data, the input key data, the initial definition, the influence factor, the initial speed, the time point image, the real account data, the real-time definition value and the real code data according to the input and verification signaling, and processing to obtain a jump signaling; the processor jumps to an input interface according to the jump signaling, and a user inputs the input and search information needing to be managed in the input interface; the point counting unit processes input checking information input by a user and data, real checking data, pushed checking data, real selecting data, real consuming data, management and debugging data and wrong checking data in the extracting unit, recommended sequencing data are obtained through processing and are provided for the user to select, when the PM is not selected when the PM is over preset by the user, matching failure is automatically judged, a failure signaling is generated, a point a corresponding to the matching degree A is added and deleted according to the failure signaling, the recommended sequencing data is generated, otherwise, the recommendation is judged to be successful, and the input checking information and the corresponding data are marked by the matching degree A; and when a primary failure signal is identified, re-recommending, changing the recommendation sequence into primary recommendation sequencing data, if the primary failure signal fails, generating a secondary failure signaling, adding data corresponding to the B error degree according to the secondary failure signaling, recalculating the sequencing score, generating secondary recommendation sequencing data, jumping to the recommendation sequencing data for re-recommending, modifying the recommendation sequence into secondary recommendation sequencing data, and when the secondary recommendation sequencing data is not selected within the set time PM, automatically generating an input failure signaling, jumping to an input interface, and re-inputting by a user.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A database establishment management system for digital therapy is characterized by comprising a safety processing unit, a processor, an extraction unit, a point counting unit and a general display unit;
the safety processing unit comprises a recording processing unit and a certification processing unit, a user inputs actual input information related to the account of the user in the recording processing unit, the certification processing unit compares the actual input information and the registration information extracted from the recording processing unit and the extraction unit, and outputs an input and verification signaling and an error signaling;
inputting and verifying the actual input information and the registration information according to the input and verification signaling, and processing to obtain a jump signaling;
the processor jumps to an input interface according to the jump signaling, and a user inputs the input and search information needing to be managed in the input interface;
and the scoring unit is used for processing the input and search information input by the user and the actual operation information in the extraction unit to obtain recommended sequencing data.
2. The database establishment management system for digital therapy according to claim 1, wherein said registration information includes shadow data, finger images, part name data, key input data, initial definition, influence factor, initial speed, billing data and billing data;
the real input information comprises a time point image, real account data, a real-time clear value and real code data;
the actual operation information comprises the data owned by the user, actual checking data, pushed checking data, actual selection data, actual consumption data, management and debugging data and error checking data.
3. The database building management system for digital therapy according to claim 2, characterized in that the certification processing unit performs data matching on the accounting data and the real account data, and determines whether a corresponding input account number, i.e. the real account data, exists in the extracting unit;
and matching the bookkeeping data and the real code data according to the matching result of the bookkeeping data and the real account data.
4. The database building management system for digital therapy according to claim 3, wherein the certification processing unit performs image processing on the shadow data in the registration information, performs virtual imaging on the shadow data, performs coordinate processing on the virtual imaging, and marks initial knuckle coordinates of each finger of the user;
extracting each character corresponding to the code recording data, marking a keyboard corresponding to the character according to the code recording data, acquiring the position of a key corresponding to the code recording data, marking the key as a code recording coordinate, calculating the distance between the initial knuckle coordinate and the position of each code recording coordinate, and calculating distance data;
acquiring coordinates of each initial knuckle, and performing initial position processing on the coordinates to obtain range coordinates;
extracting a time point of a range coordinate belonging to the joint coordinate of the initial value of the user, and carrying out moving processing on the time point corresponding to the first password character input by the user to obtain a secret mean value;
identifying a finger joint corresponding to a finger pressing keyboard at a secret time point, calibrating the finger joint into a pressing finger joint, calculating the distance between the pressing finger joint and the pressing finger joint to calculate a secret proximity distance value, and performing a mean value calculation formula on the secret proximity distance value every time a user inputs a password to obtain a secret proximity distance mean value;
sequentially calculating a two-close-finger mean value and a two-close-distance mean value, a three-close-finger mean value and a three-close-distance mean value according to a calculation method of a one-close-finger mean value and a one-close-distance mean value;
the evidence processing unit calculates the actual speed according to the calculation formula real-time clear value-initial clear value = influence factor actual speed-initial speed;
comparing the finger speed difference value with a preset value M to generate error-free signaling and error signaling;
the distance change between the finger joint with the input password and the adjacent finger joint is marked as real adjacent distance data, and the real adjacent distance data, the n-close adjacent distance mean value and the preset value MM are subjected to signaling processing to generate feasible signaling and abnormal error signaling;
and extracting feasible signaling, abnormal error signaling, error-free signaling and error-free signaling, judging the feasible signaling, the abnormal error signaling, the error-free signaling and the error-free signaling, judging that no problem exists in input when the feasible signaling and the error-free signaling simultaneously appear, generating jump signaling, transmitting the jump signaling to the processor, and otherwise, automatically jumping to a login interface.
5. The database building management system for digital therapy according to claim 4, characterized in that the initial position processing comprises the following specific procedures:
extracting the corresponding values of the X axis, the Y axis and the Z axis, respectively bringing the values into a mean value calculation formula, calculating the corresponding mean values of the X axis, the Y axis and the Z axis, simultaneously setting an offset preset value, performing addition and subtraction calculation on the offset preset value and the X axis, the Y axis and the Z axis, calculating the final values of the X axis, the Y axis and the Z axis, performing coordinate marking on the numerical values obtained by performing addition and subtraction calculation on the X axis, the Y axis and the Z axis and the offset preset value, respectively obtaining two different coordinates, calibrating the coordinates into a maximum coordinate value and a minimum coordinate value, and calibrating the coordinates between the maximum coordinate value and the minimum coordinate value into range coordinates.
6. The database building and managing system for digital therapy according to claim 5, wherein the specific process of moving the time point when the user's initial value joint coordinates belong to the range coordinates and the time point corresponding to the first password character input by the user is as follows:
extracting a time point of a range coordinate belonging to the joint coordinate of the initial value of the user, calibrating the time point as an initial time point, extracting a time point corresponding to the first password character input by the user, calibrating the time point as a secret time point, calculating the difference value between the secret time point and the initial time point, and calculating the time-secret finger value of finger movement;
extracting coordinates corresponding to the fingers, calibrating the coordinates into a dense index, performing distance calculation on the dense index and initial finger joint coordinates according to the pythagorean theorem, calculating a moving distance of the fingers, namely a dense moving distance value, performing speed calculation on the dense moving distance value and a dense finger speed value, and calculating a dense finger speed value;
calculating a secret finger speed value when the user inputs the password each time, and substituting the secret finger speed value into the mean value calculation formula to calculate a secret finger mean value.
7. The database building and management system for digital therapy according to claim 6, wherein the specific process of comparing the finger speed difference value with the preset value M is as follows:
calculating the difference between the actual speed corresponding to each password and the corresponding n-secret finger average value to obtain a plurality of finger speed difference values, comparing the plurality of finger speed difference values with a preset value M, judging that the difference value is large when the finger speed difference value is greater than or equal to the preset value M, and calibrating the corresponding finger speed difference value as a finger speed differential value, otherwise, calibrating the corresponding finger speed differential value as a finger speed positive difference value;
counting the occurrence times of the pointing speed difference value and the pointing speed positive difference value, judging that the real-time password is correctly input when the pointing speed difference value is less than one third of the pointing speed positive difference value, and generating error-free signaling, otherwise, judging that the real-time password is incorrectly input, and generating error-free signaling.
8. The database building management system for digital therapy according to claim 7, characterized in that after the scoring unit receives the search information, each character in the search information is marked, the search information is marked as a long character string and marked as a search character;
extracting real check data corresponding to the same real check data selected by a user, and performing character extraction comparison on the real check data to obtain a plurality of abnormal characters with A matching degree and real check data;
extracting the actual consumption data, and bringing the actual consumption data into an average value calculation formula so as to calculate an average value corresponding to the actual consumption data, namely the actual consumption average value;
extracting the management data, and sequencing the names of the management data from large to small according to the number of times of modification;
counting the total times of actual checking data, selecting actual checking data corresponding to the error checking data, performing character matching on the actual checking data, selecting actual checking data corresponding to the error checking data, calibrating each character in the actual checking data, performing error degree matching on the calibrated character and the pushed checking data, and calibrating the calibrated character and the pushed checking data into B error degree;
extracting search input characters, eliminating characters and search pushing data corresponding to the error degree B, and screening the data which is congested into first data which is congested;
matching each character of the first owned data with the input and search character, matching the number of matched characters of each data and the input and search character in the first owned data, calibrating the number of matched characters as a matching number, sorting the matching degree according to the matching number, giving scores to the matching numbers matched in the first owned data, selecting the scores of corresponding data in the first owned data, and sorting the scores from large to small to obtain a recommended score sorting;
and adding scores according to the abnormal characters with the matching degree A and the actual checking data in the first owned data to obtain recommended sorting data for the user to select, and performing re-sorting recommendation according to the selection time of the user.
9. The database building management system for digital therapy according to claim 8, wherein the specific process of reordering recommendations according to the user's selection time is:
when the PM is not selected when the user exceeds the preset PM, the matching failure is automatically judged, a failure signaling is generated, the a score corresponding to the A matching degree is added and deleted according to the failure signaling, the recommended sorting data is generated, otherwise, the recommendation is judged to be successful, and the A matching degree marking is carried out on the output information and the corresponding data;
and when a primary failure signal is identified, re-recommending, changing the recommendation sequence into primary recommendation sequencing data, if the primary failure signal fails, generating a secondary failure signaling, adding data corresponding to the B error degree according to the secondary failure signaling, recalculating the sequencing score, generating secondary recommendation sequencing data, jumping to the recommendation sequencing data for re-recommending, modifying the recommendation sequence into secondary recommendation sequencing data, and when the secondary recommendation sequencing data is not selected within the set time PM, automatically generating an input failure signaling, jumping to an input interface, and re-inputting by a user.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996755A (en) * | 2022-06-07 | 2022-09-02 | 福州年盛信息科技有限公司 | Cache data safety protection system based on cloud computing |
| CN117077097A (en) * | 2023-08-31 | 2023-11-17 | 深圳市易连汇通科技有限公司 | Tablet personal computer login verification method based on data analysis |
| CN117373589A (en) * | 2023-10-09 | 2024-01-09 | 曜立科技(北京)有限公司 | Nerve intervention postoperative anticoagulation management system based on digital therapy |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090006544A1 (en) * | 2006-03-10 | 2009-01-01 | Tencent Technology (Shenzhen) Company Limited | System And Method For Managing Account Of Instant Messenger |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| CN107862282A (en) * | 2017-11-07 | 2018-03-30 | 深圳市金城保密技术有限公司 | A kind of finger vena identification and safety certifying method and its terminal and system |
| CN108989341A (en) * | 2018-08-21 | 2018-12-11 | 平安科技（深圳）有限公司 | The autonomous register method of voice, device, computer equipment and storage medium |
| CN110009314A (en) * | 2019-04-18 | 2019-07-12 | 武汉鼠标科技有限公司 | A kind of educational system and teaching platform of the behavioural analysis based on big data |
| CN110852999A (en) * | 2019-10-29 | 2020-02-28 | 北京临近空间飞行器系统工程研究所 | Image scanning system and image scanning method |
| CN111163087A (en) * | 2019-12-30 | 2020-05-15 | 南宁一站网网络技术有限公司 | Database safety protection system based on data acquisition |
| US10721254B2 (en) * | 2017-03-02 | 2020-07-21 | Crypteia Networks S.A. | Systems and methods for behavioral cluster-based network threat detection |
| CN111654496A (en) * | 2020-06-03 | 2020-09-11 | 贵州航天云网科技有限公司 | Safety monitoring and protection system for industrial internet platform system |
| CN112115450A (en) * | 2020-09-28 | 2020-12-22 | 兰和科技（深圳）有限公司 | Campus security information management system based on artificial intelligence technology |
-
2021
- 2021-08-02 CN CN202110879605.2A patent/CN113535689B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090006544A1 (en) * | 2006-03-10 | 2009-01-01 | Tencent Technology (Shenzhen) Company Limited | System And Method For Managing Account Of Instant Messenger |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| US10721254B2 (en) * | 2017-03-02 | 2020-07-21 | Crypteia Networks S.A. | Systems and methods for behavioral cluster-based network threat detection |
| CN107862282A (en) * | 2017-11-07 | 2018-03-30 | 深圳市金城保密技术有限公司 | A kind of finger vena identification and safety certifying method and its terminal and system |
| CN108989341A (en) * | 2018-08-21 | 2018-12-11 | 平安科技（深圳）有限公司 | The autonomous register method of voice, device, computer equipment and storage medium |
| CN110009314A (en) * | 2019-04-18 | 2019-07-12 | 武汉鼠标科技有限公司 | A kind of educational system and teaching platform of the behavioural analysis based on big data |
| CN110852999A (en) * | 2019-10-29 | 2020-02-28 | 北京临近空间飞行器系统工程研究所 | Image scanning system and image scanning method |
| CN111163087A (en) * | 2019-12-30 | 2020-05-15 | 南宁一站网网络技术有限公司 | Database safety protection system based on data acquisition |
| CN111654496A (en) * | 2020-06-03 | 2020-09-11 | 贵州航天云网科技有限公司 | Safety monitoring and protection system for industrial internet platform system |
| CN112115450A (en) * | 2020-09-28 | 2020-12-22 | 兰和科技（深圳）有限公司 | Campus security information management system based on artificial intelligence technology |
Non-Patent Citations (2)
| Title |
|---|
| R. SETHURAMAN 等: "A New Advanced Perception For Social Media Wevsite [Facebook]", 《2019 FIFTH INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY ENGINEERING AND MATHEMATICS (ICONSTEM)》 * |
| 任轶: "医院数据库安全管理解决方案的探讨", 《甘肃科技纵横》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996755A (en) * | 2022-06-07 | 2022-09-02 | 福州年盛信息科技有限公司 | Cache data safety protection system based on cloud computing |
| CN117077097A (en) * | 2023-08-31 | 2023-11-17 | 深圳市易连汇通科技有限公司 | Tablet personal computer login verification method based on data analysis |
| CN117077097B (en) * | 2023-08-31 | 2024-03-19 | 深圳市易连汇通科技有限公司 | Tablet personal computer login verification method based on data analysis |
| CN117373589A (en) * | 2023-10-09 | 2024-01-09 | 曜立科技(北京)有限公司 | Nerve intervention postoperative anticoagulation management system based on digital therapy |
| CN117373589B (en) * | 2023-10-09 | 2024-03-29 | 曜立科技(北京)有限公司 | Nerve intervention postoperative anticoagulation management system based on digital therapy |
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