CN110991979B - Attendance management method, device and equipment for intelligent building site and computer storage medium - Google Patents
Attendance management method, device and equipment for intelligent building site and computer storage medium Download PDFInfo
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Abstract
The invention provides an attendance management method, device and equipment for an intelligent building site and a computer storage medium. According to the attendance management method for the intelligent construction site, when a plurality of workers wear intelligent safety helmets to enter a preset attendance area, identity tags in the plurality of intelligent safety helmets in the preset attendance area are obtained in real time; mapping the personnel identity information corresponding to each identity label; generating the identity information of each staff member into a current attendance record corresponding to the staff member; the current attendance record is uploaded to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker. Therefore, the system for counting, managing and controlling the attendance is integrally perfected, the attendance can be monitored, analyzed and managed in time, and the management is more comprehensive.
Description
Technical Field
The application relates to the technical field of intelligent worksites, in particular to an attendance management method, device and equipment for an intelligent worksite and a computer storage medium.
Background
The intelligent construction site implants more artificial wisdom, sensing technology, virtual reality and other high-tech technologies into various objects such as buildings, machinery, personnel wearing facilities, site entrance and exit ports and the like, and are generally interconnected to form the Internet of things, and then the Internet of things is integrated with the Internet, so that the integration of engineering management dry system personnel and engineering construction sites is realized. The core of the intelligent construction site is to improve the mutual interaction mode of each main organization and post personnel of the engineering in a more intelligent method so as to improve the definition, efficiency, flexibility and response speed of the interaction. However, the existing attendance system of the intelligent building site is not perfect in statistics and control of the attendance system, and cannot monitor, analyze and manage attendance timely, so that management is not comprehensive enough.
Disclosure of Invention
The embodiment of the application provides an attendance management method for an intelligent building site, which aims at solving the problems that an attendance system of the intelligent building site is not perfect in statistics and management and control of the attendance system, and attendance can not be monitored, analyzed and managed in time, so that management is not comprehensive enough.
In a first aspect, an embodiment of the present application provides an attendance management method for an intelligent worksite, including:
when a plurality of workers wear intelligent safety helmets to enter a preset attendance checking area, acquiring identity tags in the intelligent safety helmets in the preset attendance checking area in real time; wherein each staff member corresponds to a unique identity tag;
mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet;
generating the identity information of each staff member into a current attendance record corresponding to the staff member;
according to the current attendance record generated by each staff, uploading the current attendance record to a cloud server through breakpoint continuous transmission;
the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; the history attendance record is stored in the cloud server;
and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker.
Preferably, when a plurality of staff wears the intelligent safety helmet and enters a preset attendance checking area, acquiring the identity tags in the intelligent safety helmet in the preset attendance checking area in real time comprises:
Extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker;
aiming at the integral features of each worker, detecting key areas in the integral features based on a corner detection algorithm;
judging whether an intelligent safety helmet exists in the key area;
when the intelligent safety helmet exists in the key area, extracting an identity tag from the intelligent safety helmet;
when the intelligent safety helmet does not exist in the key area, the integral characteristics of the staff corresponding to the key area are sent to an abnormal database; wherein the exception database is independently built in the local database.
Preferably, before the cloud server calculates the current attendance record and the historical attendance record according to a set rule to generate an attendance report of each worker, the cloud server further includes:
acquiring a history patrol record of each worker in a preset patrol area according to the identity information of each worker;
and sending each history patrol record to the cloud server so as to integrate and output the cloud server.
Preferably, generating the current attendance record corresponding to the identity information of each staff member includes:
Acquiring a preset attendance plan according to the identity information of each worker; the attendance plan comprises a preset attendance area and preset attendance time;
acquiring the current time according to the preset attendance plan;
judging whether the current time and the current area information of each worker are matched with the preset attendance checking plan or not;
when the current time and the current area information of the staff are matched with the preset attendance plan, generating the current time and the current area information into a current attendance record;
and when the current time and the current area information of the staff are not matched with the preset attendance plan, generating an abnormal attendance record and outputting prompt information according to the current time and the current area information of the staff.
Preferably, the preset rule is hadoop and spark distributed computing framework;
the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker, wherein the step of generating the attendance report comprises the following steps:
integrating the current attendance record with the historical attendance record;
And calculating the integrated attendance record based on the hadoop and spark distributed computing framework to generate an attendance report.
Preferably, the cloud server is configured to output the attendance report to an intelligent terminal;
the step of outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker comprises the following steps:
a request protocol is sent to the intelligent terminal so as to establish a transmission interface;
judging whether the intelligent terminal responds to the request protocol or not;
when the intelligent terminal responds to the request protocol, uploading the attendance report to the intelligent terminal;
when the intelligent terminal does not respond to the request protocol, storing the attendance report to a local server;
and when the intelligent terminal responds to the request protocol after the attendance report is stored in the local server, the local server sends the attendance report to the intelligent terminal.
In a second aspect, an embodiment of the present application provides an attendance management device for an intelligent worksite, including:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring identity tags in a plurality of intelligent safety helmets in a preset attendance area in real time when the plurality of workers wear the intelligent safety helmets to enter the preset attendance area; wherein each staff member corresponds to a unique identity tag;
The mapping module is used for mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet;
the first generation module is used for sending the identity information of each staff to the local database and generating a current attendance record corresponding to the local database;
the uploading module is used for continuously uploading the local database to the cloud server through the break points according to the current attendance record generated by each worker;
the second generation module is used for calculating the current attendance record and the historical attendance record according to preset rules by the cloud server so as to generate an attendance report of each worker; the history attendance record is stored in the cloud server;
and the output module is used for outputting the attendance report for viewing according to the corresponding attendance report of each worker by the cloud server.
Preferably, the acquiring module includes:
the extraction sub-module is used for extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker;
the detection sub-module is used for detecting key areas in the overall characteristics of each worker based on an angular point detection algorithm;
The judging submodule is used for judging whether the intelligent safety helmet exists in the key area;
the extraction sub-module is used for extracting identity tags of the intelligent safety helmet when the intelligent safety helmet exists in the key area;
the sending sub-module is used for sending the integral characteristics of the staff corresponding to the key area to an abnormal database when the intelligent safety helmet does not exist in the key area; wherein the exception database is independently built in the local database.
In a third aspect, an embodiment of the present application provides an attendance management device at a smart worksite, comprising a processor and a memory, and one or more programs stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the steps of any of the methods of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute instructions of the steps of any of the methods of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in any of the methods of the first aspect of embodiments of the present application. The computer program product may be a software installation package.
According to the attendance management method for the intelligent construction site, when a plurality of workers wear intelligent safety helmets to enter a preset attendance area, identity tags in the plurality of intelligent safety helmets in the preset attendance area are obtained in real time; mapping the personnel identity information corresponding to each identity label; generating the identity information of each staff member into a current attendance record corresponding to the staff member; the current attendance record is uploaded to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker. Therefore, the system for counting, managing and controlling the attendance is integrally perfected, the attendance can be monitored, analyzed and managed in time, and the management is more comprehensive.
Drawings
The drawings that accompany the embodiments of the present application will be briefly described as follows.
FIG. 1 is a network architecture diagram of an attendance management method for an intelligent worksite according to an embodiment of the present application;
FIG. 2 is a flow chart of an attendance management method for an intelligent worksite according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for attendance management at an intelligent worksite according to an embodiment of the present disclosure;
FIG. 4 is a flow chart of another method for attendance management at an intelligent worksite according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an attendance management device for an intelligent worksite according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of another configuration of an attendance management device for an intelligent worksite according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an attendance management device for an intelligent worksite according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The embodiments of the present application are described in detail below.
As shown in fig. 1, the network system architecture shown in fig. 1 relates to a server, a camera, a cloud server, a PC and a mobile terminal. The camera is used for scanning the identity tag of the intelligent safety helmet in a preset attendance checking area, and the server is used for processing the identity tag scanned by the camera, so that certain visual services can be provided; the cloud server is used for calculating and generating an attendance report and respectively sending the attendance report to the PC end and the mobile terminal, and the server can also store and send the attendance report generated by the cloud server to the PC end and the mobile terminal, and all the parts are communicated through a transmission assembly or a network, so that the implementation of the attendance management method of the whole intelligent building site is supported by a network architecture.
As shown in fig. 2, the attendance management method for the intelligent construction site provided in the embodiment of the application includes:
s10, when a plurality of workers wear intelligent safety helmets to enter a preset attendance checking area, acquiring identity tags in the plurality of intelligent safety helmets in the preset attendance checking area in real time; wherein each worker corresponds to a unique identity tag.
Specifically, the preset attendance area can be a construction site of an intelligent building site, and the intelligent safety helmet is scanned by the corresponding camera in the preset attendance area, so that the server can acquire the identity tag corresponding to the intelligent safety helmet from the intelligent safety helmet, or can also acquire the real-time identity tag of each worker in the corresponding attendance area through the identity tag uploaded by the worker in the preset attendance area through the mobile terminal; for example, the preset area includes an area a, an area B and an area C, and different staff need to reach the area a, the area B and the area C designated by the staff respectively, so that the cameras in the area a, the area B and the area C respectively acquire the identity labels of the staff; alternatively, the identity tag may be, but is not limited to, a worker's job number and station.
As shown in fig. 3, the specific implementation manner of the step S10 includes:
s101, extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker;
s102, aiming at the integral characteristics of each worker, detecting key areas in the integral characteristics based on a corner detection algorithm;
s103, judging whether an intelligent safety helmet exists in the key area;
s104, when the intelligent safety helmet exists in the key area, extracting an identity tag from the intelligent safety helmet;
s105, when the intelligent safety helmet does not exist in the key area, sending the integral characteristics of the staff corresponding to the key area to an abnormal database; wherein the exception database is independently built in the local database.
The method comprises the steps that the integral features comprise human body features of staff, a server detects key areas in the human body features by acquiring the human body features of the staff and based on a corner detection algorithm, specifically, the corner detection algorithm can effectively reduce the data quantity of information while keeping important features of image patterns, so that the content of the information is high, and the calculation speed is effectively improved, wherein the calculation formula of the corner detection algorithm is as follows: (αβ) -k (α+β)/(2=det (M) -k Tr (M)/(2), α and β representing eigenvalues in matrix M, αβ and α+β representing diagonalized determinant sum trace of matrix M, k representing fixed coefficients; and, the key area detected can be, but is not limited to, the head, arm, waist, etc., so as to judge whether the intelligent safety helmet exists in the key area; for example, when a worker just enters a preset area, a camera captures an intelligent safety helmet of the worker on the hand.
It can be appreciated that the key area set may be just the head, thereby facilitating the safety management on the site; therefore, when judging that the intelligent safety helmet exists in the key area, the server can extract the identity tag of the intelligent safety helmet; in addition, a local database is arranged in the server, and the local database is provided with a normal database for storing attendance records and identity labels of the staff and an abnormal database for checking attendance abnormality or identity abnormality, that is, when the staff does not wear the safety helmet or carry the safety helmet, the whole characteristics of the staff when the staff does not wear the safety helmet or carry the safety helmet can be stored in the abnormal database, so that the safety of the whole is improved.
S20, mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet.
In the prior art, the mapping represents a special correspondence, that is, each identity tag corresponds to unique staff identity information, and the identity information includes personal data of staff, such as name, gender, cultural degree, residence address, etc.; that is, the identity tag is used for indicating in the intelligent safety helmet, and the server maps the unique identity information corresponding to the staff through the acquired identity tag.
S30, generating the identity information of each staff member into a current attendance record corresponding to the staff member.
The server can also transmit the information of each staff to the local database in advance for storage, so that the loss in the transmission process is avoided, and in addition, the information can also be transmitted from the local database after the loss.
As shown in fig. 4, in particular, the specific implementation manner of the step S30 includes:
s301, acquiring a preset attendance plan according to the identity information of each worker; the attendance plan comprises a preset attendance area and preset attendance time;
s302, acquiring current time according to a preset attendance plan;
s303, judging whether the current time and the current area information of each worker are matched with a preset attendance checking plan;
s304, when the current time and the current area information of the staff are matched with a preset attendance plan, generating the current time and the current area information into a current attendance record;
s305, when the current time and the current area information of the staff are not matched with the preset attendance schedule, generating an abnormal attendance record and outputting prompt information.
Specifically, the preset attendance plans may be that the staff at different stations need to perform attendance in the corresponding attendance areas and in preset attendance time, and the server matches the staff attendance record collected at the current time with the preset attendance time and the preset attendance areas according to the preset attendance plans, so as to determine the current attendance record of the staff; that is, the staff needs to check in the appointed area at the current time, and the matching of the current time and the current area with the preset check-in time and the area is the normal check-in record;
in addition, when the matching is inconsistent, an abnormal attendance record can be generated, for example, the current attendance time exceeds the preset attendance time, or the attendance is not performed in the appointed area; it can be appreciated that the preset attendance plan can be set according to actual requirements, for example, the attendance time, the attendance area, the business trip information and the like, and the preset attendance plan is set so that the server can determine whether the attendance of the staff is abnormal.
And S40, uploading the current attendance record generated by each worker to the cloud server through breakpoint continuous transmission.
The continuous uploading after power failure indicates that when interruption occurs when the server uploads to the cloud server, the position information of the interruption is recorded, and then the position information is read again for uploading when uploading next time, so that repeated uploading or missing uploading and the like are avoided. Optionally, the server may directly transmit to the cloud server through power outage continuation, or may upload to the cloud server from the local database when lost.
S50, the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; the historical attendance record is stored in the cloud server.
Specifically, the preset rule is a hadoop and spark distributed computing framework, and in data processing, hadoop is mainly used for indexing and tracking data so as to improve the efficiency of big data processing and analysis; spark is the instrument that is mainly used to handle the big data of distributed storage, in the server transmits the attendance record to high in the clouds server, high in the clouds server then can calculate each staff's attendance report based on hadoop and Spark distributed computing frame, and the mode efficiency of calculating the attendance is higher than the tradition.
Thus, the specific implementation manner of the step S50 includes integrating the current attendance record with the historical attendance record; and calculating the integrated attendance record based on the hadoop and spark distributed computing framework to generate an attendance report.
The cloud server can integrate the current attendance record with the previous attendance record every day through the historical attendance record stored in the cloud server, so that the current attendance record is input into the attendance report, and the attendance report can have fields such as attendance name, attendance time, attendance date, abnormality or overtime; the data of the attendance report is calculated every day, so that the processing result is more accurate.
And S60, outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker.
The cloud server is used for outputting an attendance report to the intelligent terminal, and optionally, the intelligent terminal can be a PC (personal computer) end of a manager and an APP (application) of the mobile terminal, and the cloud server can send the produced attendance report to the intelligent terminal so as to be checked by the manager, so that the workers on the intelligent building site can manage and distribute the attendance report better.
According to the attendance management method for the intelligent construction site, when a plurality of workers wear intelligent safety helmets to enter a preset attendance area, identity tags in the plurality of intelligent safety helmets in the preset attendance area are obtained in real time; mapping the personnel identity information corresponding to each identity label; generating the identity information of each staff member into a current attendance record corresponding to the staff member; the current attendance record is uploaded to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker. Therefore, the system for counting, managing and controlling the attendance is integrally perfected, the attendance can be monitored, analyzed and managed in time, and the management is more comprehensive.
In a preferred embodiment, the implementation manner after the step S60 includes sending a request protocol to the intelligent terminal to establish a transmission interface; judging whether the intelligent terminal responds to the request protocol; when the intelligent terminal responds to the request protocol, uploading an attendance report to the intelligent terminal; when the intelligent terminal does not respond to the request protocol, storing an attendance report to a local server; and when the intelligent terminal responds to the request protocol after the attendance report is stored in the local server, the local server sends the attendance report to the intelligent terminal.
Specifically, the intelligent terminal may have multiple intelligent terminals, such as multiple managers, when the intelligent terminal is an APP of the mobile terminal, network signal abnormality may occur, or network signal abnormality at the PC end, when network signal abnormality occurs in the intelligent terminal of a certain manager or multiple managers, by judging whether the intelligent terminal responds to a request uploading protocol sent by the cloud server, the request protocol may be a hypertext transfer protocol, when the intelligent terminal fails to respond, the attendance report may be stored in a local server, that is, a local database of the server, and when the intelligent terminal responds again, the attendance report is uploaded to the intelligent terminal from the local database of the server, so that uploading effectiveness and stability may be ensured.
In an optional embodiment, before the step S30, a history patrol record of each worker in a preset patrol area is obtained according to the identity information of each worker; and sending each historical patrol record to the cloud server so as to integrate and output the cloud server.
The general smart site needs to carry out inspection and punching cards, so that the security of the smart site is improved, therefore, a worker carrying out inspection and punching cards needs to determine whether to accurately inspect and update the records, so that the inspection records of the patrol workers can be obtained, the inspection records are generated and sent to the cloud server, the cloud server can calculate the inspection records to generate the inspection report and send the inspection report to the intelligent terminal, and the inspection records and the attendance records can be checked by management staff, so that the comprehensiveness in management is improved.
As shown in fig. 5, an embodiment of the present application provides an attendance management device for an intelligent worksite, the attendance management device 70 for the intelligent worksite includes:
the acquiring module 701 is configured to acquire, in real time, identity tags in a plurality of intelligent helmets in a preset attendance area when the plurality of workers wear the intelligent helmets to enter the preset attendance area; wherein each staff member corresponds to a unique identity tag;
The mapping module 702 is configured to map, according to the identity tag corresponding to each intelligent safety helmet, the identity information of the staff corresponding to each identity tag;
the first generation module 703 is configured to send identity information of each staff member to a local database and generate a current attendance record corresponding to the local database;
the uploading module 704 is configured to upload the local database to the cloud server through a breakpoint according to the current attendance record generated by each staff;
the second generation module 705 is configured to calculate the current attendance record and the historical attendance record according to a preset rule by using the cloud server, so as to generate an attendance report of each staff; the historical attendance record is stored in the cloud server;
and the output module 706 is configured to output, by the cloud server, the attendance report for viewing according to the corresponding attendance report of each worker.
As shown in fig. 6, the acquisition module 701 includes:
the extraction submodule 7011 is used for extracting human body characteristics of a plurality of workers to obtain the overall characteristics of each worker;
the detection sub-module 7012 is configured to detect, for the overall feature of each worker, a key region in the overall feature based on a corner detection algorithm;
A judging submodule 7013, configured to judge whether an intelligent safety helmet exists in the key area;
an extraction submodule 7014, configured to extract an identity tag of the intelligent safety helmet when the intelligent safety helmet exists in the key area;
a sending submodule 7015, configured to send, when the intelligent safety helmet does not exist in the key area, the overall characteristics of the staff corresponding to the key area to an abnormal database; wherein the exception database is independently built in the local database.
When a plurality of workers wear intelligent safety helmets to enter a preset attendance checking area, the attendance management device for the intelligent construction site acquires identity tags in the plurality of intelligent safety helmets in the preset attendance checking area in real time; mapping the personnel identity information corresponding to each identity label; generating the identity information of each staff member into a current attendance record corresponding to the staff member; the current attendance record is uploaded to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker. Therefore, the system for counting, managing and controlling the attendance is integrally perfected, the attendance can be monitored, analyzed and managed in time, and the management is more comprehensive.
As shown in fig. 7, an embodiment of the present application provides an attendance management device 80 for a smart worksite, comprising a processor 801 and a memory 802, and one or more computer programs 803 stored in the memory 802 and configured to be executed by the processor 801, the computer programs 803 comprising instructions for performing the steps of any of the methods of the first aspect.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: when a plurality of workers wear the intelligent safety helmets and enter a preset attendance checking area, acquiring identity tags in the plurality of intelligent safety helmets in the preset attendance checking area in real time; wherein each staff member corresponds to a unique identity tag; mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet; generating the identity information of each staff member into a current attendance record corresponding to the staff member; according to the current attendance record generated by each worker, uploading the current attendance record to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; the historical attendance record is stored in the cloud server; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker; aiming at the integral characteristics of each worker, detecting key areas in the integral characteristics based on a corner detection algorithm; judging whether an intelligent safety helmet exists in the key area; when the intelligent safety helmet exists in the key area, extracting an identity tag from the intelligent safety helmet; when the intelligent safety helmet does not exist in the key area, the integral characteristics of the staff corresponding to the key area are sent to an abnormal database; wherein the exception database is independently built in the local database.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: acquiring a history patrol record of each worker in a preset patrol area according to the identity information of each worker; and sending each historical patrol record to the cloud server so as to integrate and output the cloud server.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: acquiring a preset attendance plan according to the identity information of each worker; the attendance plan comprises a preset attendance area and preset attendance time; acquiring the current time according to a preset attendance plan; judging whether the current time and the current area information of each staff are matched with a preset attendance checking plan or not; when the current time and the current area information of the staff are matched with a preset attendance checking plan, generating the current time and the current area information into a current attendance checking record; when the current time and the current area information of the staff are not matched with the preset attendance plan, generating an abnormal attendance record and outputting prompt information according to the current time and the current area information of the staff.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: integrating the current attendance record with the historical attendance record; and calculating the integrated attendance record based on the hadoop and spark distributed computing framework to generate an attendance report.
Specifically, in a specific embodiment of the present invention, the processor 801 when executing the computer program 803 implements the steps of: transmitting a request protocol to the intelligent terminal to establish a transmission interface; judging whether the intelligent terminal responds to the request protocol; when the intelligent terminal responds to the request protocol, uploading an attendance report to the intelligent terminal; when the intelligent terminal does not respond to the request protocol, storing an attendance report to a local server; and when the intelligent terminal responds to the request protocol after the attendance report is stored in the local server, the local server sends the attendance report to the intelligent terminal.
The attendance management equipment for the intelligent construction site acquires identity tags in a plurality of intelligent safety helmets in a preset attendance area in real time when the plurality of workers wear the intelligent safety helmets to enter the preset attendance area; mapping the personnel identity information corresponding to each identity label; generating the identity information of each staff member into a current attendance record corresponding to the staff member; the current attendance record is uploaded to a cloud server through breakpoint continuous transmission; the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; and outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker. Therefore, the system for counting, managing and controlling the attendance is integrally perfected, the attendance can be monitored, analyzed and managed in time, and the management is more comprehensive.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising a mobile terminal.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments and that the acts and elements referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program to instruct related hardware, and the computer program may be stored in a computer readable memory, where the memory may include: flash disk, ROM, RAM, magnetic or optical disk, etc.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will vary in the specific embodiments and application scope according to the ideas of the present application, the contents of the present specification should not be construed as limiting the present application in summary.
Claims (5)
1. An attendance management method for an intelligent building site is characterized by comprising the following steps:
when a plurality of workers wear intelligent safety helmets to enter a preset attendance checking area, acquiring identity tags in the intelligent safety helmets in the preset attendance checking area in real time; wherein each staff member corresponds to a unique identity tag;
mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet;
Generating the identity information of each staff member into a current attendance record corresponding to the staff member;
according to the current attendance record generated by each staff, uploading the current attendance record to a cloud server through breakpoint continuous transmission;
the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker; the history attendance record is stored in the cloud server;
according to the corresponding attendance report of each worker, the cloud server outputs the attendance report for viewing;
when a plurality of staff wear intelligent safety helmet and get into and predetermine the attendance region, obtain in real time predetermine the attendance in regional a plurality of the identity label in the intelligent safety helmet includes:
extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker;
aiming at the integral features of each worker, detecting key areas in the integral features based on a corner detection algorithm; wherein the detected key areas comprise a head, an arm and a waist;
judging whether an intelligent safety helmet exists in the key area;
When the intelligent safety helmet exists in the key area, extracting an identity tag from the intelligent safety helmet;
when the intelligent safety helmet does not exist in the key area, the integral characteristics of the staff corresponding to the key area are sent to an abnormal database; the abnormal database is independently built in a local database;
the step of generating the current attendance record corresponding to the identity information of each staff comprises the following steps:
acquiring a preset attendance plan according to the identity information of each worker; the attendance plan comprises a preset attendance area and preset attendance time;
acquiring the current time according to the preset attendance plan;
judging whether the current time and the current area information of each worker are matched with the preset attendance checking plan or not;
when the current time and the current area information of the staff are matched with the preset attendance plan, generating the current time and the current area information into a current attendance record;
when the current time and the current area information of the staff are not matched with the preset attendance plan, generating an abnormal attendance record and outputting prompt information by the current time and the current area information of the staff;
The preset rule is a hadoop and spark distributed computing framework;
the cloud server calculates the current attendance record and the historical attendance record according to preset rules to generate an attendance report of each worker, wherein the step of generating the attendance report comprises the following steps:
integrating the current attendance record with the historical attendance record;
calculating the integrated attendance record based on the hadoop and spark distributed computing frame to generate an attendance report;
the cloud server is used for outputting the attendance report to an intelligent terminal;
the step of outputting the attendance report for viewing by the cloud server according to the corresponding attendance report of each worker comprises the following steps:
a request protocol is sent to the intelligent terminal so as to establish a transmission interface;
judging whether the intelligent terminal responds to the request protocol or not;
when the intelligent terminal responds to the request protocol, uploading the attendance report to the intelligent terminal;
when the intelligent terminal does not respond to the request protocol, storing the attendance report to a local server;
and when the intelligent terminal responds to the request protocol after the attendance report is stored in the local server, the local server sends the attendance report to the intelligent terminal.
2. The attendance management method for intelligent worksites according to claim 1, wherein the cloud server calculates the current attendance record and the historical attendance record according to a set rule, so as to generate an attendance report of each worker, and further comprises:
acquiring a history patrol record of each worker in a preset patrol area according to the identity information of each worker;
and sending each history patrol record to the cloud server so as to integrate and output the cloud server.
3. An attendance management device of wisdom building site, characterized in that includes:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring identity tags in a plurality of intelligent safety helmets in a preset attendance area in real time when the plurality of workers wear the intelligent safety helmets to enter the preset attendance area; wherein each staff member corresponds to a unique identity tag;
the mapping module is used for mapping the personnel identity information corresponding to each identity label according to the identity label corresponding to each intelligent safety helmet;
the first generation module is used for sending the identity information of each staff to the local database and generating a current attendance record corresponding to the local database;
The uploading module is used for continuously uploading the local database to the cloud server through the break points according to the current attendance record generated by each worker;
the second generation module is used for calculating the current attendance record and the historical attendance record according to preset rules by the cloud server so as to generate an attendance report of each worker; the history attendance record is stored in the cloud server;
the output module is used for outputting the attendance report for viewing according to the corresponding attendance report of each worker by the cloud server;
the acquisition module comprises:
the extraction sub-module is used for extracting human body characteristics of a plurality of workers to obtain the integral characteristics of each worker;
the detection sub-module is used for detecting key areas in the overall characteristics of each worker based on an angular point detection algorithm; wherein the detected key areas comprise a head, an arm and a waist;
the judging submodule is used for judging whether the intelligent safety helmet exists in the key area;
the extraction sub-module is used for extracting identity tags of the intelligent safety helmet when the intelligent safety helmet exists in the key area;
The sending sub-module is used for sending the integral characteristics of the staff corresponding to the key area to an abnormal database when the intelligent safety helmet does not exist in the key area; the abnormal database is independently built in a local database;
the first generation module is specifically configured to:
acquiring a preset attendance plan according to the identity information of each worker; the attendance plan comprises a preset attendance area and preset attendance time;
acquiring the current time according to the preset attendance plan;
judging whether the current time and the current area information of each worker are matched with the preset attendance checking plan or not;
when the current time and the current area information of the staff are matched with the preset attendance plan, generating the current time and the current area information into a current attendance record;
when the current time and the current area information of the staff are not matched with the preset attendance plan, generating an abnormal attendance record and outputting prompt information by the current time and the current area information of the staff;
the preset rule is a hadoop and spark distributed computing framework; the second generation module is specifically configured to:
Integrating the current attendance record with the historical attendance record;
calculating the integrated attendance record based on the hadoop and spark distributed computing frame to generate an attendance report;
the cloud server is used for outputting the attendance report to an intelligent terminal;
the cloud server is specifically configured to:
a request protocol is sent to the intelligent terminal so as to establish a transmission interface;
judging whether the intelligent terminal responds to the request protocol or not;
when the intelligent terminal responds to the request protocol, uploading the attendance report to the intelligent terminal;
when the intelligent terminal does not respond to the request protocol, storing the attendance report to a local server;
and when the intelligent terminal responds to the request protocol after the attendance report is stored in the local server, the local server sends the attendance report to the intelligent terminal.
4. An attendance management device at a smart worksite, comprising a processor and a memory, and one or more programs stored in the memory and configured to be executed by the processor, the one or more programs comprising instructions for performing the steps in the method of any of claims 1-2.
5. A computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the steps of the method of any one of claims 1-2.
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| CN201911016134.1A CN110991979B (en) | 2019-10-23 | 2019-10-23 | Attendance management method, device and equipment for intelligent building site and computer storage medium |
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| CN201911016134.1A CN110991979B (en) | 2019-10-23 | 2019-10-23 | Attendance management method, device and equipment for intelligent building site and computer storage medium |
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| CN112116301B (en) * | 2020-09-25 | 2023-04-25 | 重庆文理学院 | Intelligent building site management system |
| CN113222352B (en) * | 2021-04-20 | 2023-07-28 | 福州国化智能技术有限公司 | Control method of intelligent safety helmet |
| CN114783144B (en) * | 2022-06-17 | 2022-09-06 | 深圳市易智博网络科技有限公司 | Intelligent building site safety monitoring method and device and computer equipment |
| CN115457672B (en) * | 2022-08-29 | 2023-12-29 | 金钱猫科技股份有限公司 | Attendance checking method and device based on safety helmet positioning and terminal |
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| CN205845121U (en) * | 2016-05-31 | 2016-12-28 | 中国一冶集团有限公司 | Construction site real-name management gate system |
| CN107767497A (en) * | 2017-08-30 | 2018-03-06 | 深圳市易联智道科技有限公司 | Construction personnel's Non-contact attendance method |
| CN109697604A (en) * | 2018-12-29 | 2019-04-30 | 海南指间易购电子商务有限公司 | A kind of Work attendance management system |
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