Social security card data information management method and system

Abstract

The invention discloses a social security card data information management method and system, and relates to the technical field of information management.The method comprises the steps that if the network state of an identification end is that the network condition is unstable, and identification cache data, identified by a target identification social security card, is slightly incomplete, the target identification social security card is identified; if yes, a first type of complete identification data is matched from the counted identification database, historical feature data information of a historical period is obtained, and according to the association degree between the bus taking route feature information in the historical feature data information and the interval time period between the bus taking time period feature information, the first type of complete identification data is obtained; and constructing a reference feature knowledge graph, and when the identification cache data is moderately incomplete, judging whether the target identification social security card is an invalid card or not according to whether one kind of successfully matched identification filling data exists in the second kind of identification filling data matched from the statistical identification database or not. According to the social security card data information management method and system provided by the invention, the information processing efficiency can be improved.

Description

Technical Field

[0001] This application relates to the field of information management technology, and in particular, to a method and system for managing social security card data information. Background Art

[0002] Modern people may need to carry multiple cards when going out, such as bus cards, bank cards, identity cards, etc. The social security card has multiple functions, including the bus payment function. People only need to carry one social security card to meet the need of taking the bus, reducing the burden of carrying cards and making travel more convenient.

[0003] In the prior art, during the process of using the social security card to take the bus for data recognition, the analysis of diverse conditions for the incomplete data recognition caused by unstable network is not carried out. For example, the verification processes for the degree of incompleteness of the recognized data and whether the filled data is accurate are not perfect. As a result, there is a high probability of misjudgment in the final determination of whether the social security card is held by a valid person or an invalid card, reducing the security and efficiency of the entire information processing work. Summary of the Invention

[0004] To overcome the above deficiencies of the prior art, this application provides a method and system for managing social security card data information.

[0005] In a first aspect, a method for managing social security card data information provided by this application includes:

[0006] Obtain the recognition terminal network status of the bus card swiping recognition terminal and the target recognition social security card inserted by the swiping user. If the recognition terminal network status is in an unstable network condition and the integrity of the recognition cache data recognized by the target recognition social security card is mildly incomplete, then perform data matching on the statistical identification database and the recognition cache data after being marked with matchable symbols to obtain the first type of complete recognition data;

[0007] Obtain the historical feature data information of the historical period, and extract the degree of association between the bus route feature information in the historical feature data information to obtain the first historical identification feature information;

[0008] Extract the interval period between the bus riding time period feature information in the historical feature data information to obtain the second historical identification feature information, and construct a reference feature knowledge graph according to the first historical identification feature information and the second historical identification feature information;

[0009] If the network status of the recognition terminal is in an unstable network condition, and when the integrity of the recognition cache data of the target recognition social security card being recognized is moderately incomplete, then the second type of identification filling data is matched from the statistically obtained identification database. If none of the feature knowledge graphs to which each type of identification filling data in the second type of identification filling data belongs can be successfully matched with the reference feature knowledge graph, then the invalid judgment result of the social security card is output;

[0010] If there is a feature knowledge graph to which one type of identification filling data in the second type of identification filling data belongs that is successfully matched with the reference feature knowledge graph, then correspondingly, one type of identification filling data in the second type of identification filling data and the recognition cache data after being marked with matchable symbols are integrated and data decrypted to obtain the second type of complete recognition data. If it is determined from the second type of complete recognition data that the target recognition social security card is held by a secure person, then the successful result of card swiping and deduction is output.

[0011] Preferably, obtain the network status of the recognition terminal for bus card swiping and the target recognition social security card inserted by the card swiping user, and perform data recognition on the target recognition social security card to obtain recognition cache data;

[0012] Perform matchable symbol marking on the recognition cache data to obtain marked recognition data, and obtain the marked identification database;

[0013] If the network status of the recognition terminal is in an unstable network condition, and when the integrity of the recognition cache data is slightly incomplete, match and fill the remaining unrecognized data between the marked recognition data and the marked identification database to obtain one type of identification filling data, and output the first type of identification filling data;

[0014] Decrypt the first type of identification filling data to obtain the first type of filled recognition data, and integrate the recognition cache data and the first type of filled recognition data into the first type of complete recognition data.

[0015] Preferably, obtain the historical feature data information of the historical period, and extract the bus route feature information in the historical feature data information to obtain the historical feature route information;

[0016] Extract the correlation degree between the feature route of the previous time period and the feature route of the next time period in the historical feature route information to obtain the first historical correlation degree feature;

[0017] Perform matchable symbol marking on the first historical correlation degree feature to obtain the first historical marked feature information.

[0018] Preferably, extract the bus riding time period feature information in the historical feature data information to obtain the historical feature time period information;

[0019] Extract the interval period between the previous time point and the next time point in the historical feature period information to obtain the second historical correlation feature information;

[0020] Perform matchable symbol identification on the second historical correlation feature information to obtain the second historical identification feature information;

[0021] According to the first historical identification feature information and the second historical identification feature information, construct a reference feature knowledge graph. The first historical correlation degree feature determines the connection included angle between the upper level and the lower level in the reference feature knowledge graph, and the second historical correlation degree feature determines the length of the connection line segment of each level in the reference feature knowledge graph.

[0022] Preferably, if the network state of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data is moderately incomplete, match and fill the remaining unrecognized data between the identification recognition data and the identification database to obtain at least one identification filling data, and output the second type of identification filling data;

[0023] Integrate each recognition filling data in the second type of identification filling data with the identification recognition data respectively to obtain the to-be-tested identification feature data;

[0024] Construct a feature knowledge graph for each identification feature data in the to-be-tested identification feature data to obtain a to-be-tested graph;

[0025] Match each graph in the to-be-tested graph with the reference feature knowledge graph to obtain a matching result;

[0026] If all the matching results in the matching results are unsuccessful, directly determine that the target recognition social security card is an invalid card, and pull the target recognition social security card into the blacklist, and output the social security card invalid judgment result.

[0027] Preferably, if there is a matching result in the matching results that is successful, decrypt the identification filling data in the second type of identification filling data corresponding to the successful matching result in the matching results to obtain the second type of filling recognition data, and integrate the recognition cache data and the second type of filling recognition data into the second type of complete recognition data;

[0028] Perform data comparison and judgment on whether the first type of complete recognition data or the second type of complete recognition data is a lost social security card. If so, determine that the target recognition social security card is an invalid card, and pull the target recognition social security card into the blacklist, and output the social security card invalid judgment result;

[0029] If not, determine that the target recognition social security card is a social security card held by a safe person, and output the card-holding safety judgment result;

[0030] Based on the card - holding security judgment result, perform normal deduction on the target recognized social security card and output the result of successful card - holding deduction.

[0031] In a second aspect, a social security card data information management system includes:

[0032] An identification interruption condition analysis unit 1, configured to obtain the network state of the identification terminal of the bus card - swiping and the target recognized social security card inserted by the card - swiping user. If the network state of the identification terminal is in an unstable network condition and when the integrity of the identification cache data recognized by the target recognized social security card is slightly incomplete, then perform data matching on the statistically obtained identification database and the identification cache data after being marked with matchable symbols to obtain the first - type complete identification data.

[0033] A historical feature extraction unit, configured to obtain the historical feature data information of the historical period and extract the degree of association between the bus - riding route feature information in the historical feature data information to obtain the first - historical identification feature information.

[0034] A knowledge graph construction unit, configured to extract the interval period between the bus - riding time - period feature information in the historical feature data information to obtain the second - historical identification feature information, and construct a reference feature knowledge graph according to the first - historical identification feature information and the second - historical identification feature information.

[0035] An identification interruption condition analysis unit 2, configured to, if the network state of the identification terminal is in an unstable network condition and when the integrity of the identification cache data recognized by the target recognized social security card is moderately incomplete, match the second - type identification filling data from the statistically obtained identification database. If each type of identification filling data in the second - type identification filling data does not successfully match the reference feature knowledge graph, then output a social security card invalid judgment result.

[0036] A card - holding security status judgment unit, configured to, if there is a type of identification filling data in the second - type identification filling data whose feature knowledge graph successfully matches the reference feature knowledge graph, then integrate and decrypt the data of one type of identification filling data in the second - type identification filling data and the identification cache data after being marked with matchable symbols to obtain the second - type complete identification data. If it is determined that the target recognized social security card is held by a safe person based on the second - type complete identification data, then output the result of successful card - holding deduction.

[0037] Compared with the prior art, the present invention has the following characteristics and beneficial effects:

[0038] By conducting a differential analysis of the data integrity of the target identification social security card recognized when the identification terminal network status of the bus card swiping identification terminal is unstable, that is, conducting two differential analyses. Through the differential analysis in these two cases, the judgment of different data processing methods in a diverse situation can be initially improved, thereby reducing the accuracy verification analysis of the unrecognized and filled data finally. In one case, when the integrity of the recognized identification cache data is slightly incomplete, the remaining data to be filled can be directly matched from the statistically obtained identification database. At this time, there is no need to further verify the accuracy of the filled data. In one case, when the integrity of the recognized identification cache data is moderately incomplete, for the corresponding remaining data to be filled initially matched from the statistically obtained identification database, in order to improve the reliability of the judgment result of whether the target identification social security card is held by a safe person, further verification processing is required, that is, matching between the characteristic knowledge graphs is carried out again. If the matching is unsuccessful, the target identification social security card can be directly judged as an invalid card and pulled into the blacklist. Otherwise, the deduction process can be carried out normally. Through the filling process of the unrecognized data and the verification judgment of the filled data in the above two cases, the rigor of the entire data processing process and the security and high efficiency of the security identification and deduction process using the social security card are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a block diagram of the steps of a social security card data information management method mainly embodied in this embodiment.

[0040] Figure 2 is a block diagram of the structure of a social security card data information management system mainly embodied in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] The present invention will be further described in detail below in conjunction with the following embodiments.

[0042] Referring to Figure 1 , a social security card data information management method, the method includes the following steps:

[0043] S1. Obtain the identification terminal network status of the bus card swiping identification terminal and the target identification social security card inserted by the swiping user. If the identification terminal network status is in an unstable network condition and when the integrity of the recognized identification cache data of the target identification social security card is slightly incomplete, then perform data matching between the statistically obtained identification database and the recognized identification cache data after adding match symbol identifications to obtain the first type of complete identification data.

[0044] S2. Obtain the historical feature data information of the historical period, and extract the degree of association between the bus route feature information in the historical feature data information to obtain the first historical identification feature information.

[0045] S3. Extract the interval period between the bus ride time period feature information in the historical feature data information to obtain the second historical identification feature information, and construct a reference feature knowledge graph according to the first historical identification feature information and the second historical identification feature information.

[0046] S4. If the network state of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data of the target recognition social security card is moderately incomplete, then match the second type of identification filling data from the statistically obtained identification database. If each type of identification filling data in the second type of identification filling data cannot be successfully matched with the reference feature knowledge graph, then output the judgment result that the social security card is invalid.

[0047] S5. If there is a type of identification filling data in the second type of identification filling data whose feature knowledge graph is successfully matched with the reference feature knowledge graph, then correspondingly integrate and decrypt the data of one type of identification filling data in the second type of identification filling data and the recognition cache data after the matchable symbol identification to obtain the second type of complete recognition data. If it is determined from the second type of complete recognition data that the target recognition social security card is held by a safe person, then output the result of successful card swiping and deduction.

[0048] Specifically, by performing a differential analysis on the data integrity of the target recognition social security card recognized when the recognition terminal network status of the bus card swiping recognition terminal is unstable, that is, performing an analysis of two differential situations. By performing the differential analysis in these two situations, the judgment of different data processing methods in a diverse situation can be initially improved, thereby reducing the accuracy verification analysis of the unrecognized and filled data in the end. In one situation, when the integrity of the recognized recognition cache data is mildly incomplete, the remaining data that needs to be filled can be directly matched from the statistically obtained identification database. At this time, there is no need to further verify the accuracy of the filled data. In another situation, when the integrity of the recognized recognition cache data is moderately incomplete, for the corresponding remaining data to be filled initially matched from the statistically obtained identification database, in order to improve the reliability of the judgment result on whether the target recognition social security card is held by a safe person, further verification processing is required, that is, matching between the feature knowledge graphs is performed again. If the matching is unsuccessful, the target recognition social security card can be directly judged as an invalid card and added to the blacklist. Otherwise, the deduction process can be carried out normally. Through the filling process of the unrecognized data and the verification judgment of the filled data in the above two situations, the rigor of the entire data processing process and the security and high efficiency of the security recognition and deduction process using the social security card are enhanced.

[0049] Specific steps S1 include the following sub-steps:

[0050] Obtain the recognition terminal network status of the bus card swiping recognition terminal and the target recognition social security card inserted by the swiping user, and perform data recognition on the target recognition social security card to obtain recognition cache data.

[0051] Perform a matchable symbol identification on the recognition cache data to obtain identification recognition data, and obtain the identification database that has undergone the matchable symbol identification.

[0052] If the recognition terminal network status is in an unstable network condition and when the integrity of the recognition cache data is mildly incomplete, match and fill the remaining unrecognized data between the identification recognition data and the identification database to obtain a type of identification filling data, and output the first type of identification filling data.

[0053] Decrypt the first type of identification filling data to obtain the first type of filled recognition data, and integrate the recognition cache data and the first type of filled recognition data into the first type of complete recognition data.

[0054] Specifically, for example, when identifying cached data (referring to the data recognized from the target identification social security card and subjected to caching processing), identifying identification data (referring to, based on the identified cached data, identifying the unique external display feature symbol. Here, the unique external display feature symbol can be uploaded to the matching database for matching and comparison between multiple data, but it is not exactly the same as the identified cached data (to protect the security of privacy data). For example, if the identified cached data is A, then the unique external display feature symbol obtained is A1, where A1 is used for feature matching processing. Only after A1 passes the matching can A1 be decrypted to obtain A therein), the identification database (the same as the explanation of the identified identification data, not elaborated here), the first type of identification filling data (where the mild incompleteness means that the recognized data accounts for at least 80% of the data to be recognized. If the identification database contains (A1, B1), and the external display feature symbol of the identified cached data is A1 according to the identified cached data, then the matched B1 is the data to be recognized and filled for the identified cached data), the first type of complete identification data ((A1, B1) is integrated into the complete social security card identification data. If the privacy data contained in B1 is B, then by sending a secret key to the server for decryption processing to obtain A and B. Here, the decryption processing is obtained through existing technologies and is well-known to the public, not elaborated here).

[0055] Specifically, step S2 includes the following sub-steps:

[0056] Obtain the historical feature data information of the historical period, and extract the historical feature route information from the bus route feature information in the historical feature data information.

[0057] Extract the correlation degree between the feature route of the previous time period and the feature route of the next time period in the historical feature route information to obtain the first historical correlation degree feature.

[0058] Perform a matchable symbol identification on the first historical correlation degree feature to obtain the first historical identification feature information.

[0059] Specifically, such as historical feature data information (referring to the feature record information of all bus rides using the social security card during the historical period: including bus route information, time points, and time period data, etc. The feature record information here is protected by privacy and security. Subsequently, by conducting feature correlation statistics on the feature record information in the historical feature data information, explicit feature symbols can be obtained for identifying the feature record information and used for normal data matching), the first historical association degree feature (referring to the feature route of the previous time period: for example, L1-L2-L4-L6, and the feature route of the next time period: for example, L1-L2-L3-L5. If the association degree between the two is 50%, the association degree is the ratio of the number of identical stations to the total number of stations), and the first historical identification feature information (the same as the explanation of the identification data, not elaborated here).

[0060] Specifically, step S3 includes the following sub-steps:

[0061] Extract the bus ride time period feature information from the historical feature data information to obtain the historical feature time period information.

[0062] Extract the interval time period between the previous time point and the next time point in the historical feature time period information to obtain the second historical association feature information.

[0063] Perform matchable symbol identification on the second historical association feature information to obtain the second historical identification feature information.

[0064] According to the first historical identification feature information and the second historical identification feature information, construct a reference feature knowledge graph. The first historical association degree feature determines the connection included angle between the upper level and the lower level in the reference feature knowledge graph, and the second historical association degree feature determines the length of the connection line segment at each level in the reference feature knowledge graph.

[0065] Specifically, such as historical feature time period information (referring to the time point or time period of each bus ride using the social security card), the second historical association feature information (referring to the interval time period between the time point of the previous bus ride using the social security card and the time point of the next bus ride using the social security card in history), the second historical identification feature information (the same as the explanation of the identification data, not elaborated here), construct a reference feature knowledge graph (referring to constructing the reference feature knowledge graph with the first historical identification feature information as the y-axis and the second historical identification feature information as the x-axis to draw an association knowledge graph in the shape of a curve. Among them, the first historical association degree feature determines the connection included angle between the upper level and the lower level in the reference feature knowledge graph. The larger the association degree value, the smaller the included angle. The second historical association degree feature determines the length of the connection line segment at each level in the reference feature knowledge graph. The longer the interval time period, the longer the connection line segment length).

[0066] The specific step S4 includes the following sub-steps:

[0067] If the network status of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data is moderately incomplete, match and fill the remaining unrecognized data between the identification recognition data and the identification database to obtain at least one kind of identification filling data, and output the second type of identification filling data.

[0068] Integrate each recognition filling data in the second type of identification filling data with the identification recognition data respectively to obtain the to-be-tested identification feature data.

[0069] Construct a feature knowledge graph for each identification feature data in the to-be-tested identification feature data to obtain the to-be-tested graph.

[0070] Match each graph in the to-be-tested graph with the reference feature knowledge graph to obtain a matching result.

[0071] If all the matching results in the matching results are unsuccessful, directly determine that the target recognition social security card is an invalid card, pull the target recognition social security card into the blacklist, and output the social security card invalid judgment result.

[0072] Specifically, for the second type of identification filling data (the explanation is the same as that of the first type of identification filling data, and no further explanation will be given here. It should be noted that since it is moderately incomplete, there are very likely more than one type of filling data that meets the conditions. At this time, it is necessary to verify and extract the filling data with the highest accuracy from the multiple types of filling data that are matched. If they are B2, B3, and B4 respectively, and the private data they contain are b2, b3, and b4 respectively, moderately incomplete means that the recognized data accounts for 50%-80% of the data that needs to be recognized), the to-be-tested identification feature data (i.e., (A1, B2), (A1, B3), (A1, B4)), the to-be-tested graph (i.e., the same as the explanation of the reference feature knowledge graph. It should be noted that the interval period in the feature information involved in the to-be-tested graph here refers to: the interval period between the current time point and the historical previous time point closest to the current time point in the second identification filling data, and the feature route in the feature information involved in the to-be-tested graph refers to: the degree of association between the feature routes to which the two historical time points closest to the current time point in the second identification filling data belong. If the constructed to-be-tested graphs are Z1, Z2, and Z3 respectively), the matching result (there are only two result types for the matching result, namely successful match and unsuccessful match), if all the matching results in the matching result are unsuccessful matches (it means that the filling data obtained by matching is incorrect, that is, it is very likely a lost social security card. At this time, the user holding the card is very likely an insecure user. Therefore, the target identified social security card is determined to be an invalid card through the backend and is pulled into the blacklist to ensure the information protection of the user holding the lost social security card).

[0073] Specifically, step S5 includes the following sub-steps:

[0074] If there is a successful match in the matching results, decrypt the identification filling data in the second type of identification filling data corresponding to the successful match in the matching results to obtain the second type of filling identification data, and integrate the identification cache data and the second type of filling identification data into the second type of complete identification data.

[0075] Compare and judge whether the corresponding social security card of the first type of complete identification data or the second type of complete identification data is a lost social security card. If so, determine the target identified social security card as an invalid card, and pull the target identified social security card into the blacklist, and output the social security card invalid judgment result.

[0076] If not, determine that the target identified social security card is held by a safe person, and output the card-holding safety judgment result.

[0077] According to the card-holding safety judgment result, perform normal deduction on the target identified social security card, and output the card-holding deduction success result.

[0078] Specifically, if there is a matching result of successful matching in the matching results (it can be determined that a kind of identification filling data with successful matching is correct, and the remaining unsuccessful matching ones are incorrect filling data. If it is B2, decrypt (A1, B2) to obtain the second type of complete identification data (A, b2)), compare and judge whether the first type of complete identification data or the second type of complete identification data corresponds to whether the social security card is a lost social security card (that is, upload (A, B) or (A, b2) to the server to compare with the lost information of the lost social security card. If the comparison result is in line, it is determined that the target identification social security card is an invalid card and is blacklisted. Otherwise, if the comparison result does not match, it is determined that the target identification social security card is held by a safe person and normal bus fare deduction processing is carried out).

[0079] A social security card data information management system, by applying a social security card data information management method as described above, includes an identification interruption condition analysis unit 1, a historical feature extraction unit, a knowledge graph construction unit, an identification interruption condition analysis unit 2, and a card-holding security status judgment unit, referring to Figure 2, obtain the identification terminal network status of the bus card swiping identification terminal and the target identification social security card inserted by the swiping user through the identification interruption condition analysis unit 1. If the identification terminal network status is in an unstable network condition, and when the integrity of the identification cache data recognized by the target identification social security card is slightly incomplete, then perform data matching between the statistically obtained identification database and the identification cache data after being marked with matchable symbols to obtain the first type of complete identification data; obtain the historical feature data information of the historical period through the historical feature extraction unit, and extract the degree of association between the bus route feature information in the historical feature data information to obtain the first historical identification feature information; extract the interval period between the bus ride time period feature information in the historical feature data information through the knowledge graph construction unit to obtain the second historical identification feature information, and construct a reference feature knowledge graph according to the first historical identification feature information and the second historical identification feature information; if the identification terminal network status is in an unstable network condition through the identification interruption condition analysis unit 2, and when the integrity of the identification cache data recognized by the target identification social security card is moderately incomplete, then match the second type of identification filling data from the statistically obtained identification database. If none of the feature knowledge graphs to which each type of identification filling data in the second type of identification filling data belongs can be successfully matched with the reference feature knowledge graph, then output the judgment result that the social security card is invalid; if there is a feature knowledge graph to which one type of identification filling data in the second type of identification filling data belongs that is successfully matched with the reference feature knowledge graph through the card-holding security status judgment unit, then correspondingly integrate and decrypt the data of one type of identification filling data in the second type of identification filling data and the identification cache data after being marked with matchable symbols to obtain the second type of complete identification data. If it is determined that the target identification social security card is held by a safe person based on the second type of complete identification data, then output the result of successful card-holding deduction.

[0080] The above are all the preferred embodiments of this application, and the protection scope of this application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A social security card data information management method, characterized in that: The following steps are involved: Obtain the network status of the identification terminal of the bus card swiping identification terminal and the target identification social security card inserted by the card swiping user. If the network status of the identification terminal is in an unstable network condition, and when the integrity of the identification cache data identified by the target identification social security card is slightly incomplete, then perform data matching based on the statistical identification database and the identification cache data after matching symbol identification to obtain the first type of complete identification data; Acquire historical feature data information of a historical period, and extract the degree of association between the bus route feature information in the historical feature data information to obtain first historical identification feature information; Extract the interval time between the feature information of the bus time period in the historical feature data information to obtain the second historical identification feature information, and construct a reference feature knowledge graph based on the first historical identification feature information and the second historical identification feature information; If the network status of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data of the target recognition social security card is moderately incomplete, the second type of identification filling data is matched from the statistical identification database. If the feature knowledge graph to which each type of identification filling data in the second type of identification filling data belongs cannot be successfully matched with the reference feature knowledge graph, the invalid judgment result of the social security card is output; If there is a kind of identification filling data in the second category of identification filling data and the feature knowledge graph to which it belongs successfully matches the reference feature knowledge graph, then the identification filling data in the second category of identification filling data and the identification cache data after the matchable symbol identification are integrated and decrypted to obtain the second category of complete identification data. If it is judged according to the second category of complete identification data that the target identification social security card is held by a safe person, the result of successful card deduction is output.

2. A social security card data information management method according to claim 1, characterized in that: The identification terminal network status of the bus card swiping identification terminal and the target identification social security card inserted by the card swiping user are obtained. If the identification terminal network status is in an unstable network condition, and when the integrity of the identification cache data identified by the target identification social security card is slightly incomplete, the steps of performing data matching with the identification cache data after matching symbol identification based on the statistical identification database to obtain the first type of complete identification data are specifically as follows: Obtain the network status of the identification terminal of the bus card swiping identification terminal and the target identification social security card inserted by the card swiping user, and perform data identification on the target identification social security card to obtain identification cache data; Performing matching symbol identification on the identification cache data to obtain identification data, and acquiring an identification database that has been marked with matching symbols; If the network state of the identification terminal is in an unstable network condition, and when the integrity of the identification cache data is slightly incomplete, the identification identification data and the identification database are matched and filled with the remaining unidentified data to obtain a type of identification filling data, and the first type of identification filling data is output; The first-category identification padding data is decrypted to obtain the first-category padding identification data, and the identification cache data and the first-category padding identification data are integrated into the first-category complete identification data.

3. A social security card data information management method according to claim 2, characterized in that: The steps of obtaining historical feature data information of a historical period and extracting the degree of association between the feature information of bus routes in the historical feature data information to obtain the first historical identification feature information are specifically as follows: Acquire historical characteristic data information of a historical period, and extract bus route characteristic information from the historical characteristic data information to obtain historical characteristic route information; Extracting the correlation degree between the characteristic route of the previous period and the characteristic route of the next period in the historical characteristic route information to obtain a first historical correlation degree feature; The first historical association degree feature is marked with a matchable symbol to obtain first historical marking feature information.

4. A social security card data information management method according to claim 3, characterized in that: The steps of extracting the interval time between the feature information of the bus time period in the historical feature data information to obtain the second historical identification feature information, and constructing the reference feature knowledge graph according to the first historical identification feature information and the second historical identification feature information, are specifically as follows: Extracting the bus riding time period characteristic information in the historical characteristic data information to obtain the historical characteristic time period information; Extracting the interval period between the previous time point and the next time point in the historical feature period information to obtain second historical correlation feature information; Performing a matchable symbol identification on the second historical association feature information to obtain second historical identification feature information; A reference feature knowledge graph is constructed based on the first historical identification feature information and the second historical identification feature information. The first historical association degree feature determines the connection angle between the upper level and the lower level in the reference feature knowledge graph. The second historical association degree feature determines the length of the connection line segment of each level in the reference feature knowledge graph.

5. A social security card data information management method according to claim 4, characterized in that: If the network status of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data of the target recognition social security card is moderately incomplete, the second type of identification filling data is matched from the statistical identification database. If the feature knowledge graph to which each type of identification filling data in the second type of identification filling data belongs cannot be successfully matched with the reference feature knowledge graph, the steps of outputting the invalid judgment result of the social security card are specifically as follows: If the network state of the recognition end is in an unstable network condition, and when the integrity of the recognition cache data is incomplete, the identification recognition data and the identification database are matched and filled with the remaining unidentified data to obtain at least one type of identification filling data, and the second type of identification filling data is output; Integrate each identification filling data in the second type of identification filling data with the identification identification data to obtain the identification feature data to be tested; Construct a feature knowledge graph for each type of identification feature data in the identification feature data to be tested to obtain a graph to be tested; Matching each of the graphs in the test graph with the reference feature knowledge graph to obtain a matching result; If all matching results in the matching results are unsuccessful, the target identified social security card is directly determined to be an invalid card, and the target identified social security card is added to the blacklist, and the invalid judgment result of the social security card is output.

6. A social security card data information management method according to claim 5, characterized in that: If there is a characteristic knowledge graph to which a kind of identification filling data belongs in the second kind of identification filling data successfully matches the reference characteristic knowledge graph, then the identification filling data of the second kind of identification filling data and the identification cache data after the matching symbol identification are integrated and decrypted to obtain the second kind of complete identification data. If it is judged that the target identification social security card is held by a safe person according to the second kind of complete identification data, the steps of outputting the result of successful card deduction are specifically as follows: If there is a matching result in the matching results that is a successful match, decrypt the identification filling data in the second category identification filling data corresponding to the matching result in the matching results to obtain the second category filling identification data, and integrate the identification cache data and the second category filling identification data into the second category complete identification data; Compare the first type of complete identification data or the second type of complete identification data to determine whether the corresponding social security card is a lost social security card. If so, determine the target identified social security card as an invalid card, add the target identified social security card to the blacklist, and output the invalid judgment result of the social security card; If not, it is determined that the target identification social security card is held by a safe person, and the card holding safety judgment result is output; According to the card security judgment result, normal deductions are made to the target identified social security card, and a successful card deduction result is output.

7. A social security card data information management system, characterized in that: The system is used to implement a social security card data information management method as described in any one of claims 1 to 6, comprising: The first identification interruption condition analysis unit is used to obtain the identification terminal network status of the bus card swiping identification terminal and the target identification social security card inserted by the card swiping user. If the identification terminal network status is in an unstable network condition, and when the integrity of the identification cache data identified by the target identification social security card is slightly incomplete, the first type of complete identification data is obtained by performing data matching based on the statistical identification database and the identification cache data after matching symbol identification; A historical feature extraction unit, used to obtain historical feature data information of a historical period, and extract the degree of association between the bus route feature information in the historical feature data information to obtain first historical identification feature information; A knowledge graph construction unit, configured to extract the interval between the feature information of the bus time period in the historical feature data information to obtain the second historical identification feature information, and to construct a reference feature knowledge graph according to the first historical identification feature information and the second historical identification feature information; The second identification interruption condition analysis unit is used to match the second type of identification filling data from the statistical identification database if the network state of the identification end is in an unstable network condition, and when the integrity of the identification cache data identified by the target identification social security card is moderately incomplete, if the feature knowledge graph to which each type of identification filling data in the second type of identification filling data belongs cannot be successfully matched with the reference feature knowledge graph, then output the invalid judgment result of the social security card; The cardholder security status judgment unit is used to integrate and decrypt the identification cache data after matching symbol identification in the second category identification filling data to obtain the second category complete identification data if the feature knowledge graph to which the identification filling data belongs in the second category identification filling data successfully matches the reference feature knowledge graph. If it is judged that the target identification social security card is held by a safe person according to the second category complete identification data, the result of successful cardholder deduction is output.

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