CN112632247A - Method and device for detecting man-hour report, computer equipment and storage medium - Google Patents
Method and device for detecting man-hour report, computer equipment and storage medium Download PDFInfo
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- CN112632247A CN112632247A CN202011523924.1A CN202011523924A CN112632247A CN 112632247 A CN112632247 A CN 112632247A CN 202011523924 A CN202011523924 A CN 202011523924A CN 112632247 A CN112632247 A CN 112632247A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
Abstract
The invention relates to the technical field of data processing, and discloses a man-hour report detection method, a man-hour report detection device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring working hour content information reported by a user; extracting the working post information in the working hour content information; judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work; when the work post information is associated with card information, obtaining work description information in the work time content information; judging whether the work description information is matched with the work post information or not; when the work description information is matched with the work post information, the correct detection result of the work time content information is obtained, so that automatic work time report detection is realized, manual verification is not needed, and the verification efficiency of the work time report is improved. Since the man-hour content information is stored in the blockchain, the blockchain technique is also involved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for detecting a man-hour report, a computer device, and a storage medium.
Background
In the man-hour management system, the working contents reported by users every day mainly include the man-hour reporting date, the working type, the corresponding associated cards, the description of the work on the day and the like, however, the reporting man-hour of each colleague is easy to make mistakes, and each department and group need to manually check whether the reported contents of each user meet the rules, so that the checker is long in time consumption for checking every day, high in working repeatability, easy to make mistakes in manual checking, and causes the problems that the indexes are not met in daily scanning statistics and the like.
Disclosure of Invention
The invention mainly aims to provide a man-hour report detection method, a man-hour report detection device, a computer device and a storage medium, and aims to improve the verification efficiency of man-hour reports.
To achieve the above object, the present invention provides a man-hour report detecting method, including the steps of:
acquiring working hour content information reported by a user;
extracting the working post information in the working hour content information;
judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work;
when the work post information is associated with card information, obtaining work description information in the work time content information;
judging whether the work description information is matched with the work post information or not;
and when the work description information is matched with the work post information, obtaining a detection result that the work time content information is correct.
Optionally, before the obtaining of the man-hour content information reported by the user, the method further includes:
acquiring account information of the user, wherein the account information of the user is stored in a block chain;
identifying the account information of the user to obtain group information of the user;
acquiring the personal man-hour content information of the user, and associating the personal man-hour content information with the group information to obtain group man-hour content information;
and taking the group identification man-hour content information as the man-hour content information reported by the user.
Optionally, the extracting the work position information in the work time content information includes:
obtaining corresponding number information according to the account information of the user;
inquiring a relation mapping table of a preset number range and the post information according to the number information to obtain target number range information to which the number information belongs;
and obtaining corresponding working position information according to the target number range information.
Optionally, the acquiring the work description information in the man-hour content information includes:
obtaining work type information according to the work post information, and inquiring a keyword list according to the work type information to obtain preset keyword information;
comparing the working hour content information with the preset keyword information to perform keyword identification on the working hour content information and obtain a comparison result;
and obtaining the work description information according to the comparison result.
Optionally, before determining whether the job description information matches the job position information, the method further includes:
identifying the work content of the work description information to obtain work task version information;
extracting card version information in the associated card information;
comparing the work task version information with the card version information to judge whether the work task version information is matched with the card version information;
and when the work task version information is matched with the card version information, executing the step of judging whether the work description information is matched with the work post information.
Optionally, after determining whether the job description information matches the job position information, the method further includes:
when the work description information is not matched with the work post information, obtaining a detection result that the work time content information is wrong;
and acquiring the man-hour content information with the detection result of error, and displaying the man-hour content information with the error.
Optionally, when the work description information matches the work post information, obtaining a detection result that the work time content information is correct includes:
when the work description information is matched with the work post information, acquiring reference work hour information reported by an attendance machine, and acquiring target work hour information according to the work hour content information;
matching the working hour information reported by the attendance machine with the target working hour information to judge whether the working hour information reported by the attendance machine is consistent with the target working hour information or not;
and when the working hour information reported by the attendance machine is consistent with the target working hour information, obtaining a correct detection result of the working hour content information.
In addition, to achieve the above object, the present invention also provides a computer device, including: a memory, a processor, and a man-hour report detection program stored on the memory and executable on the processor, the man-hour report detection program configured to implement the steps of the man-hour report detection method as described above.
Further, to achieve the above object, the present invention also proposes a storage medium having stored thereon a man-hour report detection program which, when executed by a processor, realizes the steps of the man-hour report detection method as described above.
In order to achieve the above object, the present invention also provides a man-hour report detecting device including:
the acquisition module is used for acquiring the working hour content information reported by the user;
the extraction module is used for extracting the working post information in the working hour content information;
the judging module is used for judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work;
the acquisition module is further used for acquiring work description information in the work time content information when the work post information is associated with the card information;
the judging module is further used for judging whether the work description information is matched with the work post information;
and the detection module is used for obtaining a detection result that the working hour content information is correct when the working description information is matched with the working post information.
The man-hour report detection method provided by the invention obtains the man-hour content information reported by the user; extracting the working post information in the working hour content information; judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work; when the work post information is associated with card information, obtaining work description information in the work time content information; judging whether the work description information is matched with the work post information or not; when the work description information is matched with the work post information, the correct detection result of the work time content information is obtained, so that automatic work time report detection is realized, manual verification is not needed, and the verification efficiency of the work time report is improved.
Drawings
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for detecting a working hour report according to a first embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for detecting a working hour report according to a second embodiment of the present invention;
FIG. 4 is a flow chart illustrating a method for detecting a working hour report according to a third embodiment of the present invention;
FIG. 5 is a functional block diagram of a first embodiment of the labor hour report detection device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may comprise a Display screen (Display), an input unit such as keys, and the optional user interface 1003 may also comprise a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a man-hour report detection program.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting an external network and performing data communication with other network devices; the user interface 1003 is mainly used for connecting user equipment and performing data communication with the equipment; the apparatus of the present invention calls the man-hour report detection program stored in the memory 1005 by the processor 1001 and executes the man-hour report detection implementation method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the man-hour report detection method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a man-hour report detection method according to a first embodiment of the present invention, in which the man-hour report detection method includes the following steps:
and step S10, acquiring the working hour content information reported by the user.
It should be noted that the execution main body of this embodiment may be a background server, for example, a man-hour management server installed with a detection tool, and may also be other terminal devices that can implement the same or similar functions.
In this embodiment, the work time content information includes account information of a user, associated card information, work description information, and work type information, and may further include other content information, which is not limited in this embodiment, where the account information of the user may be in the form of an ID account, and may also be in other forms of identification information with a unique identification function, and the embodiment is not limited in this embodiment, the associated card information is authorization information for performing post work, and a specific form may be an encrypted character string, and for example, because some work post types need to be associated with a work card in order to ensure real-time recording of work and security of work content, for example, a software development engineer associates with the corresponding card, so that when performing work, the corresponding project is automatically entered, and the current work progress is checked, so as to implement real-time recording of work content, the job description information can be the current working condition, such as the completion of the test project A, and the like, and the job type information is the job position information, such as the research and development position, the administrative position, the sales position, and the like, so that the effective management of the work types is realized.
In the specific implementation, a user can record current working content information by filling a working log, for example, the working content is filled through a working content reporting interface and submitted after the completion of the filling, that is, the working content information is reported, when the working hour content information reported by the user is received by the working hour management server running in the background, the reported working hour content can be analyzed in time, and the real-time detection of the working hour content is realized without affecting the work of the user.
It is emphasized that, in order to further ensure the privacy and security of the man-hour content information, the man-hour content information may also be stored in a node of a block chain.
And step S20, extracting the working post information in the working-hour content information.
The work post information is work type information, such as a research and development post, an administrative post, a sales post, and the like, and the corresponding work post information is obtained according to the work time content information.
In specific implementation, the user account information in the work hour content information of the user can be extracted, the user account information is an ID account obtained by adopting a preset generation rule according to the corresponding work information, and the corresponding work post information is obtained by inquiring a relation mapping table between the preset ID account and the post information according to the ID account corresponding to the account information.
Step S30, determining whether the work post information is associated with card information, where the card information is authorization information for performing post work.
In this embodiment, the associated card information may be an encrypted character string, and when the user reports the work hours, whether the user is associated may be determined according to the card information in the work hour content information, so as to avoid a situation that the user reports an error, and automatically check the work hour content reported by the user.
And step S40, when the work post information is related to the card information, acquiring the work description information in the work time content information.
It can be understood that the work description information includes specific work content information, input content information, output content information, work version information, and may further include other information, which is not limited in this embodiment, for example, if the user a completes the repair of the bug1-5 within a specific time period, and updates the version of the current project to be V2.1, then the information is used as the work description information.
And step S50, judging whether the work description information is matched with the work post information.
In a specific implementation, the keyword information in the job description information is extracted, and the extracted keyword information is matched with the keyword information corresponding to the job position information to determine whether the job description information is matched with the job position information, for example, when the current job position information is a research and development position, the corresponding preset keyword information is a version number, a bug number, a project name, and the like, and when the keyword included in the job description information is a version number, a bug number, it indicates that the job description information includes the keyword corresponding to the job position information, that is, the job description information is matched with the job position information.
In this embodiment, in order to ensure the matching accuracy, a corresponding matching degree is obtained, the matching degree is compared with a preset matching degree, and when the matching degree reaches the preset matching degree, the job description information is matched with the job position information, specifically, when the job description information contains 10 keywords corresponding to the job position information, the corresponding matching degree is obtained according to the number of the keywords corresponding to the job position information, for example, the number of the keywords corresponding to the job position information is 70, the number of the preset keyword information is 100, the matching degree is 70%, where the preset matching degree may be 60%, and may also be other parameter information, this embodiment does not limit this, that is, when the current matching degree reaches the preset matching degree, the job description information is matched with the job position information, thereby realizing the effective detection of the man-hour content information.
And step S60, when the work description information is matched with the work post information, obtaining a detection result that the work time content information is correct.
In this embodiment, it may further determine whether the work description information is repeatedly described, so as to improve the accuracy of the man-hour detection, specifically, obtain the man-hour content information of other users, compare the man-hour content information of the user with the man-hour content information of other users to obtain a duplication checking rate, compare the duplication checking rate with a duplication checking threshold, determine whether the man-hour content information meets the specification according to the comparison result, obtain the unqualified man-hour content information when the duplication checking rate is greater than or equal to the duplication checking threshold, obtain the qualified man-hour content information when the duplication checking rate is less than the duplication checking threshold, for example, the duplication checking rate of the user a and the user B is 30%, where the duplication checking threshold may be 70%, and other parameter information may also be obtained, and this embodiment does not limit, then obtain the duplication checking rate of the user a and the user B is less than the duplication checking threshold, and obtaining the qualified work hour content information of the user A and the user B, thereby improving the effectiveness of the work hour content information.
According to the scheme, the working hour content information reported by the user is obtained; extracting the working post information in the working hour content information; judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work; when the work post information is associated with card information, obtaining work description information in the work time content information; judging whether the work description information is matched with the work post information or not; when the work description information is matched with the work post information, the correct detection result of the work time content information is obtained, so that automatic work time report detection is realized, manual verification is not needed, and the verification efficiency of the work time report is improved.
In an embodiment, as shown in fig. 3, a second embodiment of the man-hour report detection method according to the present invention is proposed based on the first embodiment, and in this embodiment, before the step S10, the method further includes:
and step S101, acquiring account information of the user.
In this embodiment, the account information of the user may be obtained through account information input by the user when the user logs in the computer, account information bound to the current computer, or user account information obtained through other manners, which is not limited in this embodiment.
Step S102, identifying the account information of the user to obtain the group information of the user.
In this embodiment, the group information to which the user belongs may be group information determined by the research and development project. The present embodiment is not limited to this, and the group information determined by the research and development project is taken as an example for explanation.
Step S103, acquiring the personal man-hour content information of the user, and associating the personal man-hour content information with the group information to obtain the group man-hour content information.
In a specific implementation, when the group information to which the user belongs is obtained, that is, the group to which the user a belongs is B, the user a is associated with the group B to which the user a belongs, and the group B does not need to report the man-hour content information, but uses the personal man-hour content information of the user a as the group man-hour content information, so that other people in the group B are prevented from reporting the personal man-hour content information again, and the efficiency of reporting the man-hour content information is improved.
And step S104, using the group identification man-hour content information as the man-hour content information reported by the user.
For example, when the user is a member of a team a project, in this case, it is not necessary for all members to report the work-hour content, and only one member of the team reports the work-hour content, thereby avoiding manual work repetition every day.
In one embodiment, the step S20 includes:
obtaining corresponding number information according to the account information of the user; inquiring a relation mapping table of a preset number range and the post information according to the number information to obtain target number range information to which the number information belongs; and obtaining corresponding working position information according to the target number range information.
In a specific implementation, for example, if the account information of the user is 110, and the station information corresponding to the ID account 100 plus 500 in the relationship mapping table of the preset ID account and the station information is a research and development station, the station information corresponding to the ID account 110 is obtained as the research and development station, so that the range information to which the user belongs is obtained by querying the relationship mapping table of the preset number range and the station information, and the corresponding work station information is obtained according to the range information, thereby improving the accuracy of work station identification.
In one embodiment, the step S40 includes:
obtaining work type information according to the work post information, and inquiring a keyword list according to the work type information to obtain preset keyword information; and comparing the man-hour content information with the preset keyword information to perform keyword identification on the man-hour content information, obtaining a comparison result, and obtaining work description information according to the comparison result.
In this embodiment, the job type information is job category information, such as research and development type, management type, and the like, in order to implement identification of the job description information, identification keyword information is obtained through the job position information, and the job description information is obtained according to the identification keyword information, for example, a preset keyword corresponding to the research and development position is a software version, a preset keyword corresponding to the management position is a project name, and the like, so that refined identification of the job description information is implemented.
In an embodiment, as shown in fig. 4, a third embodiment of the man-hour report detection method according to the present invention is proposed based on the first embodiment or the second embodiment, and in this embodiment, before the step S50, the method further includes:
step S501, identifying the work content of the work description information to obtain the work task version information.
In this embodiment, the delivered version information is obtained according to the work description information, specifically, the work description information is compared with the version keyword information, and the work task version information is obtained according to the comparison result, for example, the delivered version information is V2.1, and may also be version information in other forms, which is not limited in this embodiment.
Step S502, extracting card version information in the associated card information.
In this embodiment, the card version information may be extracted by acquiring associated card information, specifically, acquiring the associated card information, identifying the associated card information to obtain corresponding card version information, and obtaining the card version information in other manners, which is not limited in this embodiment.
Step S503, comparing the work task version information with the card version information to determine whether the work task version information is matched with the card version information.
In specific implementation, delivered version information is obtained according to the work description information, the delivered version information is matched with the card version information, for example, if the delivered version information is V2.1 and the card version information is V2.1, it is indicated that the delivered version information is matched with the card version information, and if the delivered version information is V2.0 and the card version information is V2.1, it is indicated that the delivered version information is not matched with the card version information, it is indicated that the work description information of the user has an error, so that effective verification of the work content information of the user is achieved.
When the work task version information matches the card version information, the step S50 is performed.
In an embodiment, after the step S50, the method further includes:
when the work description information is not matched with the work post information, obtaining a detection result that the work time content information is wrong; and acquiring the working hour content information with the detection result of error, and displaying the working hour content information with the error, for example, regularly displaying in a mail sending mode so as to correct the problem in time and display the non-conforming items in the working hour content information, thereby facilitating the user to adjust in time.
In one embodiment, the step S60 includes:
when the work description information is matched with the work post information, acquiring reference work hour information reported by an attendance machine, and acquiring target work hour information according to the work hour content information; matching the working hour information reported by the attendance machine with the target working hour information to judge whether the working hour information reported by the attendance machine is consistent with the target working hour information or not; and when the working hour information reported by the attendance machine is consistent with the target working hour information, obtaining a correct detection result of the working hour content information.
In this embodiment, in order to ensure the accuracy of the man-hour content detection, the man-hour information reported by the attendance machine may be acquired, the target man-hour information may be obtained according to the man-hour content information, the man-hour information reported by the attendance machine may be compared with the target man-hour information, and the target detection result may be obtained according to the comparison result, so that the man-hour detection accuracy may be improved by performing the re-verification in combination with the man-hour information reported by the attendance machine.
The invention further provides a man-hour report detection device.
Referring to fig. 5, fig. 5 is a functional block diagram of a man-hour report detection apparatus according to a first embodiment of the present invention.
In a first embodiment of the man-hour report detecting apparatus according to the present invention, the man-hour report detecting apparatus includes:
an obtaining module 10, configured to obtain work-hour content information reported by a user;
the extraction module 20 is used for extracting the work post information in the work hour content information;
the judging module 30 is configured to judge whether the work post information is associated with card information, where the card information is authorization information for performing post work;
the obtaining module 10 is further configured to obtain work description information in the work time content information when the work post information is associated with the card information;
the judging module 30 is further configured to judge whether the job description information matches the job post information;
and the detection module 40 is configured to obtain a detection result that the work-hour content information is correct when the work description information matches the work post information.
In an embodiment, the obtaining module 10 is further configured to obtain account information of the user;
identifying the account information of the user to obtain group information of the user;
acquiring the personal man-hour content information of the user, and associating the personal man-hour content information with the group information to obtain group man-hour content information;
and taking the group identification man-hour content information as the man-hour content information reported by the user.
In an embodiment, the extracting module 20 is further configured to obtain corresponding number information according to the account information of the user;
inquiring a relation mapping table of a preset number range and the post information according to the number information to obtain target number range information to which the number information belongs;
and obtaining corresponding working position information according to the target number range information.
In an embodiment, the obtaining module 10 is further configured to obtain work type information according to the work post information, and query a keyword list according to the work type information to obtain preset keyword information;
comparing the working hour content information with the preset keyword information to perform keyword identification on the working hour content information and obtain a comparison result;
and obtaining the work description information according to the comparison result.
In an embodiment, the determining module 30 is further configured to identify the work content of the work description information to obtain work task version information;
extracting card version information in the associated card information;
comparing the work task version information with the card version information to judge whether the work task version information is matched with the card version information;
and when the work task version information is matched with the card version information, executing the step of judging whether the work description information is matched with the work post information.
In an embodiment, the obtaining module 10 is further configured to obtain a detection result that the work-hour content information is wrong when the work description information is not matched with the work post information;
and acquiring the man-hour content information with the detection result of error, and displaying the man-hour content information with the error.
In an embodiment, the detection module 40 is further configured to, when the work description information matches the work post information, obtain reference work-hour information reported by the attendance machine, and obtain target work-hour information according to the work-hour content information;
matching the working hour information reported by the attendance machine with the target working hour information to judge whether the working hour information reported by the attendance machine is consistent with the target working hour information or not;
and when the working hour information reported by the attendance machine is consistent with the target working hour information, obtaining a correct detection result of the working hour content information.
The man-hour report detection device of the present invention adopts all the technical solutions of all the above embodiments, so that at least all the beneficial effects brought by the technical solutions of the above embodiments are achieved, and details are not repeated herein.
In addition, to achieve the above object, the present invention also provides a computer device, including: a memory, a processor, and a man-hour report detection program stored on the memory and executable on the processor, the man-hour report detection program configured to implement the steps of the man-hour report detection method as described above.
Furthermore, an embodiment of the present invention also proposes a storage medium having a man-hour report detection program stored thereon, the man-hour report detection program being executed by a processor to perform the steps of the man-hour report detection method as described above.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling an intelligent terminal (which may be a mobile phone, a computer, a terminal, an air conditioner, or a network terminal) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A man-hour report detection method, characterized by comprising:
acquiring working hour content information reported by a user;
extracting the working post information in the working hour content information;
judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work;
when the work post information is associated with card information, obtaining work description information in the work time content information;
judging whether the work description information is matched with the work post information or not;
and when the work description information is matched with the work post information, obtaining a detection result that the work time content information is correct.
2. The method for detecting man-hour report according to claim 1, wherein before obtaining the man-hour content information reported by the user, the method further comprises:
acquiring account information of the user, wherein the account information of the user is stored in a block chain;
identifying the account information of the user to obtain group information of the user;
acquiring the personal man-hour content information of the user, and associating the personal man-hour content information with the group information to obtain group man-hour content information;
and taking the group identification man-hour content information as the man-hour content information reported by the user.
3. The man-hour report detecting method as claimed in claim 1, wherein said extracting the work position information in the man-hour content information includes:
obtaining corresponding number information according to the account information of the user;
inquiring a relation mapping table of a preset number range and the post information according to the number information to obtain target number range information to which the number information belongs;
and obtaining corresponding working position information according to the target number range information.
4. The man-hour report detecting method according to claim 1, wherein said acquiring work description information in the man-hour content information includes:
obtaining work type information according to the work post information, and inquiring a keyword list according to the work type information to obtain preset keyword information;
comparing the working hour content information with the preset keyword information to perform keyword identification on the working hour content information and obtain a comparison result;
and obtaining the work description information according to the comparison result.
5. The man-hour report detection method according to any one of claims 1 to 4, wherein before said judging whether or not the job description information matches the job position information, further comprising:
identifying the work content of the work description information to obtain work task version information;
extracting card version information in the associated card information;
comparing the work task version information with the card version information to judge whether the work task version information is matched with the card version information;
and when the work task version information is matched with the card version information, executing the step of judging whether the work description information is matched with the work post information.
6. The man-hour report detection method according to any one of claims 1 to 4, wherein after said judging whether or not the job description information matches the job position information, further comprising:
when the work description information is not matched with the work post information, obtaining a detection result that the work time content information is wrong;
and acquiring the man-hour content information with the detection result of error, and displaying the man-hour content information with the error.
7. The man-hour report detection method according to any one of claims 1 to 4, wherein said obtaining that the man-hour content information is a correct detection result when the job description information matches the job position information comprises:
when the work description information is matched with the work post information, acquiring reference work hour information reported by an attendance machine, and acquiring target work hour information according to the work hour content information;
matching the working hour information reported by the attendance machine with the target working hour information to judge whether the working hour information reported by the attendance machine is consistent with the target working hour information or not;
and when the working hour information reported by the attendance machine is consistent with the target working hour information, obtaining a correct detection result of the working hour content information.
8. A computer device, characterized in that the computer device comprises: a memory, a processor, and a man-hour report detection program stored on the memory and executable on the processor, the man-hour report detection program configured to implement the steps of the man-hour report detection method of any one of claims 1 to 7.
9. A storage medium having stored thereon a man-hour report detection program which, when executed by a processor, implements the steps of the man-hour report detection method according to any one of claims 1 to 7.
10. A man-hour report detecting device, characterized by comprising:
the acquisition module is used for acquiring the working hour content information reported by the user;
the extraction module is used for extracting the working post information in the working hour content information;
the judging module is used for judging whether the work post information is associated with card information, wherein the card information is authorization information for performing post work;
the acquisition module is further used for acquiring work description information in the work time content information when the work post information is associated with the card information;
the judging module is further used for judging whether the work description information is matched with the work post information;
and the detection module is used for obtaining a detection result that the working hour content information is correct when the working description information is matched with the working post information.
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| CN202011523924.1A CN112632247A (en) | 2020-12-21 | 2020-12-21 | Method and device for detecting man-hour report, computer equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115358641A (en) * | 2022-10-20 | 2022-11-18 | 杭州明启数智科技有限公司 | Property post working hour calculation system and method based on global positioning and stream calculation |
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- 2020-12-21 CN CN202011523924.1A patent/CN112632247A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115358641A (en) * | 2022-10-20 | 2022-11-18 | 杭州明启数智科技有限公司 | Property post working hour calculation system and method based on global positioning and stream calculation |
| CN115358641B (en) * | 2022-10-20 | 2023-05-02 | 杭州明启数智科技有限公司 | Property post man-hour computing system and method based on global positioning and stream computing |
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