Automatic query and inspection method and system for special operation certificate

Abstract

The invention discloses an automatic query and inspection method and system for a special job certificate, and belongs to the technical field of certificate inspection. According to the automatic query and inspection method for the special job certificate, the limitation on the type of information input by the user is reduced by acquiring the multivariate information of the job certificate of the user, and meanwhile, the duration of information input by the user is also reduced, for example, the speed of inputting voice information by the user is higher than that of inputting text information; the corresponding query information can be obtained through the self-built database only according to the input job certificate multivariate information, and it is guaranteed that a user can rapidly obtain the corresponding query information under the condition that the user does not know the query information temporarily; compared with the prior art, the method has the advantages that the information input speed is higher, and the efficiency is higher; therefore, the problem that an existing special operation certificate inspection mode is low in inspection efficiency is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of certificate inspection, and in particular relates to a method and system for automatically querying and inspecting a special operation certificate. Background Art

[0002] Special operation certificates mainly include the following areas: electrical work, welding work, high-altitude work, refrigeration and air-conditioning work, and crane work. In order to ensure the safety of construction work, personnel in special positions need to hold corresponding special operation certificates; for this reason, special operation certificates need to be inspected. The current general inspection is to enter specific key information on the national website for inspection. However, this inspection method is time-consuming. When a large number of special operation certificates need to be inspected in a short period of time, many computers need to be added to shorten the total inspection time; but the cost of doing so is too high; therefore, the current inspection method is difficult to meet the needs of querying a large number of special operation certificates in a short period of time; in addition, the query information that needs to be entered on the national website may not be remembered by everyone, and the querying user needs to recall the corresponding query information through other channels, which will also affect the inspection efficiency of special operation certificates.

[0003] In summary, the existing inspection method for special operation certificates has the problem of low inspection efficiency. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method and system for automatic query and verification of special operation certificates in view of the deficiencies in the above-mentioned prior art, so as to improve the efficiency of user verification and optimize the user's query experience.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A special operation certificate automatic query and inspection method, including data entry, data query and result export;

[0007] The process of data entry is: obtaining multiple information of the user's work permit, the multiple information includes video information, image information, voice information, and text information;

[0008] The process of data query is as follows: extract key information from each piece of information obtained, determine whether the key information type contains all query information types, and if so, construct query information based on the key information; if not, extract the corresponding data of the missing query information type in the self-built database based on the key information, and construct query information based on the key information and the extracted missing data;

[0009] The self-built database is used to store the data obtained each time, the corresponding query result data and the historical special operation certificate personnel related data; the types of key information include name, ID number, operation certificate number, portrait, fingerprint, special operation certificate number; the query information types include name, ID number, special operation certificate number;

[0010] The process of exporting results is: inputting the query information into the work permit query information system and outputting the corresponding query result data.

[0011] Furthermore, when the user is a new user, the acquired work permit data is stored in the self-built database; when the user is an old user, the acquired work permit multi-dimensional information is used to update the user's data in the self-built database.

[0012] Furthermore, based on the acquisition time and query duration corresponding to the work permit data, the priority number is calculated, and the priority of the data query is determined according to the priority number to ensure that the query result data is output in the order of the corresponding acquisition time;

[0013] The query time for video information is longer than the query time for image information, and longer than the query time for voice information, and longer than the query time for text information.

[0014] Furthermore, the calculation formula of the priority number is:

[0015] P=M q / M t

[0016] Among them, P is the priority number, M t To obtain the time, M q The query duration.

[0017] Furthermore, the process of extracting corresponding data of the missing query information type in the self-built database based on the key information is as follows: first, the K-nearest neighbor algorithm is used to calculate the similarity between the key information and the data in the database. If the similarity exceeds the similarity threshold, the user with the highest similarity is determined to be the current user, and the data corresponding to the actual query information type is extracted from the data corresponding to the user; if the similarity does not exceed the similarity threshold, it is determined that the user does not exist in the self-built database, the obtained data is stored in the self-built database, and a prompt "data is incomplete and cannot be queried" is output.

[0018] Furthermore, the similarity calculation formula is:

[0019] S=1 / (1+D)

[0020] Among them, S is the similarity, D is the distance between the key information and the data in the database, and the distance is the Euclidean distance or the Manhattan distance.

[0021] Furthermore, the video information is obtained through a video camera; the image information is obtained through a camera; the voice information is obtained through a recorder; and the text information is obtained through a keyboard and a mouse.

[0022] Further, when the query result data is passed, a first prompt signal is issued, and when the query result data is invalid, a second prompt signal is issued.

[0023] Furthermore, within a set time, when the input devices of the acquired multiple pieces of information are the same device, the corresponding query result data are counted into a table and output.

[0024] The present invention also discloses a special work permit automatic query and inspection system, which includes a multi-information input device and a processor. The multi-information input device is used for a user to input multi-information of the user's work permit, and the processor outputs corresponding query result data based on the input multi-information of the user's work permit using the above-mentioned special work permit automatic query and inspection method.

[0025] Compared with the prior art, the present invention has the following advantages:

[0026] The present invention reduces restrictions on the types of information input by users by obtaining multiple information of the user's work permit, and also reduces the time it takes for users to input information. For example, users input voice information faster than text information. Corresponding query information can be obtained through a self-built database based only on the input multiple information of the work permit, thereby ensuring that users can quickly obtain corresponding query information even when they do not know the query information temporarily. Compared with the prior art, the present application inputs information faster and more efficiently, thereby solving the problem of low inspection efficiency in the existing special work permit inspection method.

[0027] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 The present invention is a flowchart of an embodiment of a method for automatically querying and verifying a special operation permit according to the present invention. DETAILED DESCRIPTION

[0029] Implementation example of automatic query and inspection method for special operation certificate:

[0030] like Figure 1 As shown, the automatic query and inspection method for special operation certificates includes data entry, data query and result export. The user's operation certificate related information is obtained through the data entry module, the data corresponding to the information obtained through data query, and the result export outputs the corresponding query result according to the queried data.

[0031] The process of data entry is: obtaining multiple information of the user's work permit, which includes video information, image information, voice information, and text information. The video information is obtained through a camera; the image information is obtained through a camera; the voice information is obtained through a recorder; and the text information is obtained through a keyboard and mouse.

[0032] The process of data query is: extract key information from each piece of information obtained, determine whether the key information type contains all query information types, if so, construct query information based on the key information; if not, extract the corresponding data of the missing query information type in the self-built database based on the key information, and construct query information based on the key information and the extracted missing data. The types of the above key information include name, ID number, operation certificate number, portrait, fingerprint, and special operation certificate number. The above query information types include name, ID number, and special operation certificate number.

[0033] Among them, the self-built database is used to store the data obtained each time, the corresponding query result data and the historical special operation certificate personnel related data. When inspecting the existing operation certificate, it is necessary to enter specific query information into the query information system in the computer to realize the inspection of the operation certificate. However, this query method requires that the inquirer must know all the query information; at the same time, a computer can only be used by one person for verification at the same time; resulting in long query time and uncertain query time. To this end, the present application solves the problem that the inquirer will miss the query information through a self-built database, and solves the problem that a computer can only be used by one person at the same time by obtaining multiple information of the user's operation certificate; and the method of obtaining video and image data through a camera is shorter and more convenient than entering text information into a computer.

[0034] The process of exporting the results is: inputting the query information into the work permit query information system and outputting the corresponding query result data. The query information system generally refers to the national information system or the official inspection system corresponding to the work permit.

[0035] In order to ensure the comprehensiveness and accuracy of the data in the self-built database, when the user is a new user, the obtained work permit data will be stored in the self-built database. When the user is an old user, the user's data in the self-built database will be updated using the obtained work permit multi-dimensional information.

[0036] When multiple user work permit information is obtained at the same time, which data should be processed first? There will be a priority problem, or when the query system has accumulated many user work permit information that has not been processed, there will also be a priority problem, that is, which information should be processed first. For this reason, this application uses the acquisition time and query duration corresponding to the work permit data as the basis to calculate the priority number, and prioritizes the data query according to the priority number to ensure that the query result data is output in the order of the corresponding acquisition time. In this way, it can be ensured that no matter how the user inputs the information, the difference in time consumed to obtain the query result is very small; thereby encouraging users to choose various input methods without distinction. For example: if a video information and a text information are input at the same time, according to the priority calculation method, the video information will be processed first, and because the query duration of the video information is greater than the query duration of the text information, the time difference between the video information and the text information from obtaining to outputting the corresponding query results is smaller than the time difference when no priority is adopted.

[0037] The query time of video information is greater than the query time of image information, greater than the query time of voice information, and greater than the query time of text information. This relationship is obtained by statistically analyzing historical query time data.

[0038] The priority number is calculated as:

[0039] P=M q / M t

[0040] Among them, P is the priority number, M t To obtain the time, M q The query duration.

[0041] In order to improve the efficiency of data query, the process of extracting the corresponding data of the missing query information type in the self-built database according to the key information is as follows: first, the K nearest neighbor algorithm is used to calculate the similarity between the key information and the data in the database. If the similarity exceeds the similarity threshold, the user with the highest similarity is determined as the current user, and the data corresponding to the actual query information type is extracted from the data corresponding to the user; if the similarity does not exceed the similarity threshold, it is determined that the user does not exist in the self-built database, and the obtained data is stored in the self-built database, and a prompt "incomplete data, unable to query" is output. As the self-built database becomes more powerful, such cases of incomplete data and inability to query will become less and less.

[0042] Specifically, the similarity calculation formula is:

[0043] S=1 / (1+D)

[0044] Among them, S is the similarity, D is the distance between the key information and the data in the database, and the distance is the Euclidean distance or the Manhattan distance.

[0045] In order to provide faster and clearer feedback on the query results, a first prompt signal is issued when the query result data is passed, and a second prompt signal is issued when the query result data is invalid. The purpose of the first prompt signal and the second prompt signal is to assist in providing feedback on the query results. The inspector can clearly know the query result through the query result data. The first prompt signal and the second prompt signal can be light signals or voice signals, as long as they can provide auxiliary feedback.

[0046] In order to facilitate batch query users and get clearer query results, within the set time, when the input device of multiple pieces of information obtained is the same device, the corresponding query result data will be counted into a table and output, so as to improve the user experience of batch query users.

[0047] This embodiment can improve the degree of automation of special operation certificate query and verification: the traditional special operation certificate query method relies on manual operation, which is inefficient and prone to errors. Through the automated information entry and query system, the efficiency and accuracy of query verification are improved. Solve the efficiency problem of large-scale data query: in the special operation certificate query, a large amount of data needs to be processed. By introducing the K nearest neighbor algorithm, the processing flow of large-scale data is optimized and the query speed is improved. Solve the priority problem of multi-information input: when inputting multi-information, how to determine the priority of information processing is a challenge. The present invention uses a priority scheduling algorithm to prioritize according to the query duration and the time of information acquisition, thereby ensuring the efficiency of information processing. Optimize user experience: through the memory storage function, the present invention can record the user's query history, simplify the process of multiple queries by the user, and improve the user experience.

[0048] Implementation example of the automatic query and inspection system for special operation certificates:

[0049] The automatic query and inspection system for special work permits includes a multi-information input device and a processor. The multi-information input device is used for the user to input multi-information of the user's work permit. The processor outputs corresponding query result data based on the input multi-information of the user's work permit using the above-mentioned special work permit automatic query and inspection method embodiment. This embodiment is implemented with reference to the above-mentioned special work permit automatic query and inspection method embodiment, and will not be repeated here.

[0050] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for automatically querying and verifying a special operation permit, characterized in that: Including data entry, data query and result export; The data entry process is as follows: obtaining the user's work permit multi-dimensional information, the multi-dimensional information includes video information, image information, voice information, and text information; The process of data query is: extract key information from each piece of information obtained, determine whether the key information type contains all the query information types, and if so, construct the query information based on the key information; If not, then extract the corresponding data of the missing query information type from the self-built database according to the key information, and construct the query information according to the key information and the extracted missing data; The self-built database is used to store the data obtained each time, the corresponding query result data and the historical special operation certificate personnel related data; the types of key information include name, ID number, operation certificate number, portrait, fingerprint, special operation certificate number; the query information types include name, ID number, special operation certificate number; The process of exporting results is: inputting the query information into the work permit query information system and outputting the corresponding query result data.

2. A method for automatically querying and verifying a special operation permit according to claim 1, characterized in that: When the user is a new user, the acquired work permit data is stored in the self-built database. When the user is an old user, the acquired work permit multi-dimensional information is used to update the user's data in the self-built database.

3. A method for automatically querying and verifying a special operation permit according to claim 1, characterized in that: Based on the acquisition time and query duration corresponding to the work permit data, the priority number is calculated, and the priority of the data query is determined according to the priority number to ensure that the query result data is output in the order of the corresponding acquisition time; The query time for video information is longer than the query time for image information, and longer than the query time for voice information, and longer than the query time for text information.

4. A method for automatically querying and verifying a special operation permit according to claim 3, characterized in that: The calculation formula of the priority number is: P=M q / M t Among them, P is the priority number, M t To obtain the time, M q The query duration.

5. A method for automatically querying and verifying a special operation permit according to claim 3, characterized in that: The process of extracting the corresponding data of the missing query information type from the self-built database according to the key information is as follows: first, the similarity between the key information and the data in the database is calculated using the K nearest neighbor algorithm. If the similarity exceeds the similarity threshold, the user with the highest similarity is determined as the current user, and the data corresponding to the correct query information type is extracted from the data corresponding to the user; If the similarity does not exceed the similarity threshold, it is determined that the user does not exist in the self-built database, the acquired data is stored in the self-built database, and a prompt "incomplete data, unable to query" is output.

6. A method for automatically querying and verifying a special operation permit according to claim 5, characterized in that: The similarity calculation formula is: S=1 / (1+D) Among them, S is the similarity, D is the distance between the key information and the data in the database, and the distance is the Euclidean distance or the Manhattan distance.

7. A method for automatically querying and verifying a special operation permit according to claim 1, characterized in that: The video information is obtained through a video camera; the image information is obtained through a camera; the voice information is obtained through a recorder; and the text information is obtained through a keyboard and a mouse.

8. A method for automatically querying and verifying a special operation permit according to claim 1, characterized in that: When the query result data is passed, a first prompt signal is issued, and when the query result data is invalid, a second prompt signal is issued.

9. A method for automatically querying and verifying a special operation permit according to claim 1, characterized in that: Within a set time, when the input devices of multiple pieces of information obtained are the same device, the corresponding query result data are counted into a table and output.

10. A special operation permit automatic query and inspection system, characterized by: The system includes a multi-information input device and a processor, wherein the multi-information input device is used for a user to input multi-information of a user's work permit, and the processor outputs corresponding query result data based on the input multi-information of the user's work permit using the special work permit automatic query and inspection method described in any one of claims 1-9.

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