CN112985451B - Beidou positioning-based man-hour data acquisition method and system - Google Patents
Beidou positioning-based man-hour data acquisition method and system Download PDFInfo
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- CN112985451B CN112985451B CN202110184147.0A CN202110184147A CN112985451B CN 112985451 B CN112985451 B CN 112985451B CN 202110184147 A CN202110184147 A CN 202110184147A CN 112985451 B CN112985451 B CN 112985451B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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Abstract
The invention provides a working hour data acquisition method based on Beidou positioning, which comprises the following steps: the working hour data statistics end acquires positioning information of the operation terminal in the working hour period. And acquiring corresponding operation area information. And judging whether the position information in the positioning information is in the area corresponding to the operation area information, and acquiring the behavior state information of the operation terminal. The behavior state information includes: a result of the motion state and a result of the stationary state. If the behavior state information is a movement state result, man-hour information data is generated according to the man-hour period. According to the invention, the working hour data of the outdoor personnel are accurately acquired through the acquisition of the mobile state information of the outdoor personnel, so that the integrity and the accuracy of the working hour data are improved. Meanwhile, the invention also provides an acquisition system for calculating the manual cleaning state data.
Description
Technical Field
The invention relates to the field of outdoor personnel working hour data statistics. The invention particularly relates to a working hour data acquisition method and system based on Beidou positioning.
Background
In the operation process of outdoor operators, the working hour statistics of the outdoor operators is mostly derived from the time and the position of punching cards, the time of working and working can only be confirmed, and the operation process is not supervised by people or can not be supervised in real time, so that the time in the actual operation process can not be calculated. The prior art generally adopts that supervision personnel are added to patrol or use traditional GPS positioning products to ensure the validity of working hours. However, in the actual investigation process, statistics of working hours are all indirect statistics, and only the traditional card punching mode can be used for carrying out working hour recording, so that the operation time is long and the working hour data statistics accuracy is low.
Disclosure of Invention
The invention aims to provide a working hour data acquisition method based on Beidou positioning, which accurately acquires working hour data of outdoor personnel through acquisition of outdoor personnel movement state information, so that the integrity and the accuracy of the working hour data are improved.
According to the acquisition system for calculating the manual cleaning state data, disclosed by the invention, the working hour data of outdoor personnel are accurately acquired through acquisition of the moving state information of the outdoor personnel, so that the integrity and the accuracy of the working hour data are improved.
According to the first aspect of the invention, a working hour data acquisition method based on Beidou positioning is provided, and the working hour data acquisition method based on Beidou positioning can be realized through a working hour data statistics end and an operation terminal.
And the operation terminal can acquire and report the positioning information and the step counting number of the operation terminal to the man-hour data counting terminal through the Beidou satellite navigation system. The positioning information of the operation terminal includes: terminal identification information of the work terminal and position information of the work terminal.
The man-hour data statistics end stores a man-hour period corresponding to the terminal identification information and a scheduling correspondence table of the operation area information.
The working hour data acquisition method based on Beidou positioning comprises the following steps:
step S101, the working hour data statistics end acquires positioning information of the operation terminal in the working hour period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102, the man-hour data statistics end judges whether the position information in the positioning information is in the area corresponding to the operation area information, if so, the action state information of the operation terminal is obtained through the action state algorithm and the step counting number. The behavior state information includes: a result of the motion state and a result of the stationary state.
Step S103, if the behavior state information is a static state result, off-duty state information of the attendance terminal is generated. If the behavior state information is a movement state result, man-hour information data is generated according to the man-hour period.
In one embodiment of the working hour data acquisition method based on Beidou positioning, the step of acquiring the behavior state information of the operation terminal through a motion state algorithm and a step counting number comprises the following steps:
In step S1021, the motion state algorithm acquires the movement distance between the plurality of pieces of position information by acquiring the transmitted position information of the work terminal at a set time interval. And obtaining the unit step counting number according to the moving distance and the step counting number.
Step S1022, if the moving distance is the set moving distance and the unit step count exceeds the set step count, outputting the movement state result if yes, and outputting the stationary state result if no.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the position information includes: current longitude information and current latitude information.
In another embodiment of the present invention, step S1021 further includes: movement area information of a plurality of pieces of position information is acquired.
Step S1022 further includes determining whether the movement area information is the set movement area and is a continuously increasing or decreasing change value if the movement distance is the set movement distance, and if so, outputting a movement state result.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the man-hour period includes: and (5) a working period.
Step S101 further includes that the man-hour data statistics end obtains positioning information of the operation terminal in the working hours. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102 further includes determining whether the location information in the positioning information is in the area corresponding to the operation area information, and if so, generating the shift-in information. If not, generating late information.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the man-hour period includes: and (5) a working period.
Step S101 further includes that the man-hour data statistics end acquires positioning information of the operation terminal in the off-duty period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102 further includes determining whether the position information in the positioning information is within the area corresponding to the work area information, and if so, generating the shift-out information. If not, generating late information.
In another embodiment of the Beidou positioning-based man-hour data acquisition method, the operation terminal can acquire signal strength information. The positioning information includes signal strength information.
In another embodiment of the present invention, step S102 includes: and judging whether the position information in the positioning information is in the area corresponding to the operation area information or not by the man-hour data statistics end, if not, judging whether the signal intensity information exceeds the intensity set value by the man-hour data statistics end, if so, generating off-duty information, and if not, returning to the step S101 to acquire the positioning information of the operation terminal again.
In a second aspect of the present invention, there is provided a man-hour data acquisition system based on Beidou positioning, including: a man-hour data statistics end and a working terminal.
And the operation terminal can acquire and report the positioning information and the step counting number of the operation terminal to the man-hour data counting terminal through the Beidou satellite navigation system. The positioning information of the operation terminal includes: terminal identification information of the work terminal and position information of the work terminal.
The man-hour data statistics end stores a man-hour period corresponding to the terminal identification information and a scheduling correspondence table of the operation area information.
The working hour data statistics end acquires positioning information of the operation terminal in the working hour period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
And the working hour data statistics end judges whether the position information in the positioning information is in the area corresponding to the operation area information, and if so, the working terminal behavior state information is obtained through a motion state algorithm and a step counting number. The behavior state information includes: a result of the motion state and a result of the stationary state.
And the working hour data statistics end judges that if the behavior state information is a static state result, off-duty state information of the attendance terminal is generated. If the behavior state information is a movement state result, man-hour information data is generated according to the man-hour period.
In another embodiment of the working hour data acquisition system based on Beidou positioning, the step of acquiring the behavior state information of the operation terminal through a motion state algorithm and a step counting number comprises the following steps:
The motion state algorithm is to acquire the movement distance between a plurality of pieces of position information by acquiring the transmitted position information of the work terminal at a set time interval. And obtaining the unit step counting number according to the moving distance and the step counting number.
If the moving distance is the set moving distance and the unit step count exceeds the set step count, outputting a movement state result if the moving distance is the set moving distance and the unit step count exceeds the set step count, and outputting a static state result if the moving distance is not the set moving distance.
The characteristics, technical features, advantages and implementation modes of the Beidou positioning-based man-hour data acquisition method and system are further described below in a clear and easily understood mode with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic diagram for explaining the composition of a system for implementing the Beidou positioning-based man-hour data acquisition method in one embodiment of the present invention.
Fig. 2 is a flowchart for explaining a working hour data acquisition method based on the beidou positioning in one embodiment of the present invention.
Fig. 3 is a flowchart for explaining a working hour data acquisition method based on the beidou positioning in another embodiment of the present invention.
Detailed Description
For a clearer understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described with reference to the drawings, in which like reference numerals refer to identical or structurally similar but functionally identical components throughout the separate views.
In this document, "schematic" means "serving as an example, instance, or illustration," and any illustrations, embodiments described herein as "schematic" should not be construed as a more preferred or advantageous solution. For simplicity of the drawing, only the portions related to the present exemplary embodiment are schematically shown in the drawings, and they do not represent actual structures and actual proportions thereof as products.
The invention provides a working hour data acquisition method based on Beidou positioning. As shown in fig. 1, the working hour data acquisition method based on the beidou positioning can be realized by one working hour data statistics terminal 10 and one working terminal 20.
The operation terminal 20 can acquire and report the positioning information and the step counting number of the operation terminal 20 to the man-hour data counting end 10 through the Beidou satellite navigation system. The positioning information of the work terminal 20 includes: terminal identification information of the work terminal 20 and position information of the work terminal 20.
The man-hour data statistics end 10 stores a schedule correspondence table of man-hour periods and work area information corresponding to terminal identification information.
As shown in fig. 2, the working hour data acquisition method based on the beidou positioning comprises the following steps:
step S101, acquiring corresponding operation area information.
In this step, the man-hour data statistics end 10 acquires positioning information of the work terminal 20 during the man-hour period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102, behavior state information is acquired.
In this step, the man-hour data statistics end 10 determines whether the position information in the positioning information is within the area corresponding to the work area information, and if so, acquires the behavior state information of the work terminal 20 by the motion state algorithm and the step count. The behavior state information includes: a result of the motion state and a result of the stationary state.
Step S103, generating man-hour information data.
In the step, if the behavior state information is a static state result, off-duty state information of the attendance terminal is generated. If the behavior state information is a movement state result, man-hour information data is generated according to the man-hour period.
In one embodiment of the present invention, as shown in fig. 3, the step of acquiring the behavior state information of the operation terminal 20 through the motion state algorithm and the step count includes:
step S1021, obtaining the unit step count according to the moving distance and the step count.
In this step, the motion state algorithm acquires the movement distance between a plurality of pieces of position information by acquiring the transmitted position information of the work terminal 20 at a set time interval. And obtaining the unit step counting number according to the moving distance and the step counting number.
Step S1022, a motion state result or a stationary state result is output.
In the step, if the moving distance is the set moving distance and the unit step count exceeds the set step count, outputting a movement state result if the moving distance is the set moving distance and the unit step count exceeds the set step count, and outputting a stationary state result if the moving distance is not the set moving distance.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the position information includes: current longitude information and current latitude information.
In another embodiment of the present invention, step S1021 further includes: movement area information of a plurality of pieces of position information is acquired.
Step S1022 further includes determining whether the movement area information is the set movement area and is a continuously increasing or decreasing change value if the movement distance is the set movement distance, and if so, outputting a movement state result.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the man-hour period includes: and (5) a working period.
Step S101 further includes the man-hour data statistics end 10 acquiring positioning information of the work terminal 20 during the working hours. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102 further includes determining whether the location information in the positioning information is in the area corresponding to the operation area information, and if so, generating the shift-in information. If not, generating late information.
In another embodiment of the Beidou positioning-based man-hour data acquisition method of the present invention, the man-hour period includes: and (5) a working period.
Step S101 further includes the man-hour data statistics end 10 acquiring positioning information of the work terminal 20 during the off-hours period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
Step S102 further includes determining whether the position information in the positioning information is within the area corresponding to the work area information, and if so, generating the shift-out information. If not, generating late information.
In another embodiment of the present invention, the work terminal 20 is capable of acquiring signal strength information. The positioning information includes signal strength information.
In another embodiment of the present invention, step S102 includes:
The judging man-hour data statistics end 10 judges whether the position information in the positioning information is in the area corresponding to the operation area information, if not, the man-hour data statistics end 10 judges whether the signal intensity information exceeds the intensity set value, if so, off-duty information is generated, and if not, the step S101 is returned to acquire the positioning information of the operation terminal 20 again.
In a second aspect of the present invention, there is provided a man-hour data acquisition system based on Beidou positioning, including: a man-hour data statistics end 10 and a work terminal 20.
The operation terminal 20, the operation terminal 20 can acquire and report the positioning information and the step counting number of the operation terminal 20 to the man-hour data counting terminal 10 through the Beidou satellite navigation system. The positioning information of the work terminal 20 includes: terminal identification information of the work terminal 20 and position information of the work terminal 20.
The man-hour data statistics end 10 stores a schedule correspondence table of man-hour periods and work area information corresponding to terminal identification information.
The man-hour data statistics end 10 acquires positioning information of the work terminal 20 during the man-hour period. And inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain the corresponding operation area information.
The man-hour data statistics end 10 judges whether the position information in the positioning information is in the region corresponding to the operation region information, and if so, obtains the behavior state information of the operation terminal 20 through a motion state algorithm and a step count. The behavior state information includes: a result of the motion state and a result of the stationary state.
And the working hour data statistics end 10 judges that if the behavior state information is a static state result, off-duty state information of the attendance terminal is generated. If the behavior state information is a movement state result, man-hour information data is generated according to the man-hour period.
In another embodiment of the present invention, the step of acquiring the behavior state information of the work terminal 20 through the motion state algorithm and the step count includes:
The movement state algorithm is to acquire the movement distance between a plurality of pieces of position information by acquiring the transmitted position information of the work terminal 20 at set time intervals. And obtaining the unit step counting number according to the moving distance and the step counting number.
If the moving distance is the set moving distance and the unit step count exceeds the set step count, outputting a movement state result if the moving distance is the set moving distance and the unit step count exceeds the set step count, and outputting a static state result if the moving distance is not the set moving distance.
It should be understood that although the present disclosure has been described in terms of various embodiments, not every embodiment is intended to include only a single embodiment, and that such descriptions are provided for clarity only, and that the disclosure is not limited to the embodiments shown and described herein, as such, may be suitably combined in any number of embodiments, as would be apparent to one of ordinary skill in the art.
The above list of detailed descriptions is only specific to practical embodiments of the present invention, and they are not intended to limit the scope of the present invention, and all equivalent embodiments or modifications that do not depart from the spirit of the present invention should be included in the scope of the present invention.
Claims (8)
1. The working hour data acquisition method based on Beidou positioning is characterized in that the working hour data acquisition method based on Beidou positioning can be realized through a working hour data statistics end and an operation terminal;
The operation terminal can acquire and report the positioning information and the step counting number of the operation terminal to the man-hour data counting end through a Beidou satellite navigation system; the positioning information of the operation terminal comprises: terminal identification information of the operation terminal and position information of the operation terminal;
The working hour data statistics end stores a working hour period corresponding to the terminal identification information and a scheduling corresponding table of the operation area information;
the working hour data acquisition method based on Beidou positioning comprises the following steps:
Step S101, the working hour data statistics end acquires positioning information of the operation terminal in the working hour period; inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain corresponding operation area information;
step S102, the man-hour data statistics end judges whether the position information in the positioning information is in the area corresponding to the operation area information, if so, the action state information of the operation terminal is obtained through a motion state algorithm and the step counting number; the behavior state information includes: a motion state result and a stationary state result;
Step S103, if the behavior state information is a static state result, off-duty state information of the attendance terminal is generated; if the behavior state information is a motion state result, generating man-hour information data according to the man-hour period;
the operation terminal can acquire signal intensity information; the positioning information comprises the signal intensity information;
The step S102 includes:
Judging whether the position information in the positioning information is in the area corresponding to the operation area information or not by the man-hour data statistics end, if not, judging whether the signal intensity information exceeds an intensity set value or not by the man-hour data statistics end, if so, generating off-duty information, and if not, returning to the step S101 to acquire the positioning information of the operation terminal again.
2. The man-hour data acquiring method according to claim 1, wherein the step of acquiring the behavior state information of the work terminal by the motion state algorithm and the step count includes:
step S1021, the motion state algorithm is that the moving distance among a plurality of pieces of position information is obtained by obtaining the sent position information of the operation terminal at a set time interval; obtaining a unit step counting number according to the moving distance and the step counting number;
step S1022, if the moving distance is the set moving distance and the unit step count exceeds the set step count, outputting a movement state result if the unit step count exceeds the set step count, and outputting a stationary state result if the unit step count does not exceed the set step count.
3. The man-hour data acquisition method according to claim 1 or 2, characterized in that the position information includes: current longitude information and current latitude information.
4. The man-hour data acquiring method according to claim 2, wherein the step S1021 further includes: acquiring moving area information of a plurality of pieces of position information;
Step S1022 further includes determining whether the movement area information is a set movement area and is a continuously increasing or decreasing change value if the movement distance is the set movement distance, and if so, outputting a movement state result.
5. The man-hour data acquisition method according to claim 1, wherein the man-hour period includes: a working period;
The step S101 further includes that the working hour data statistics end obtains positioning information of the operation terminal in the working period; inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain corresponding operation area information;
Step S102 further includes determining whether the position information in the positioning information is in the area corresponding to the operation area information, if yes, generating working information; if not, generating late information.
6. The man-hour data acquisition method according to claim 1, wherein the man-hour period includes: a time period for working;
the step S101 further includes that the working hour data statistics end obtains positioning information of the operation terminal in the working hours; inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain corresponding operation area information;
Step S102 further includes determining whether the position information in the positioning information is in the area corresponding to the operation area information, and if yes, generating the shift-in information; if not, generating late information.
7. Working hour data acquisition system based on big dipper location, its characterized in that includes: a working hour data statistics end and a working terminal are realized;
The operation terminal can acquire and report the positioning information and the step counting number of the operation terminal to the man-hour data counting end through a Beidou satellite navigation system; the positioning information of the operation terminal comprises: terminal identification information of the operation terminal and position information of the operation terminal;
The working hour data statistics end stores a working hour period corresponding to the terminal identification information and a scheduling corresponding table of the operation area information;
The working hour data statistics end acquires positioning information of the operation terminal in the working hour period; inquiring the scheduling corresponding table according to the terminal identification information in the positioning information to obtain corresponding operation area information;
the working hour data statistics end judges whether the position information in the positioning information is in the area corresponding to the operation area information, if so, the working terminal behavior state information is obtained through a motion state algorithm and the step counting number; the behavior state information includes: a motion state result and a stationary state result;
judging by the man-hour data statistics end, and if the behavior state information is a static state result, generating off-duty state information of the attendance terminal; if the behavior state information is a motion state result, generating man-hour information data according to the man-hour period;
the operation terminal can acquire signal intensity information; the positioning information comprises the signal intensity information;
Judging whether the position information in the positioning information is in the area corresponding to the operation area information or not by the man-hour data statistics end, if not, judging whether the signal intensity information exceeds an intensity set value or not by the man-hour data statistics end, if so, generating off-duty information, and if not, acquiring the positioning information of the operation terminal again.
8. The man-hour data acquiring system according to claim 7, wherein the step of acquiring the behavior state information of the work terminal by the motion state algorithm and the step count includes:
The motion state algorithm is that the moving distance among a plurality of pieces of position information is obtained by obtaining the sent position information of the operation terminal at a set time interval; obtaining a unit step counting number according to the moving distance and the step counting number;
and if the moving distance is the set moving distance and the unit step counting number exceeds the set step counting number, outputting a movement state result if the moving distance is the set moving distance, and outputting a static state result if the moving distance is not the set moving distance.
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| CN116303356A (en) * | 2023-03-15 | 2023-06-23 | 三一(韶山)风电设备有限公司 | Construction method of production man-hour database, and determination method and device of production man-hour |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003288455A (en) * | 2002-03-27 | 2003-10-10 | Ntt Docomo Inc | Attendance status deciding device and attendance status display device and program and recording medium |
| JP2004178404A (en) * | 2002-11-28 | 2004-06-24 | Aruze Corp | Attendance management method and attendance management system |
| JP2005092342A (en) * | 2003-09-12 | 2005-04-07 | Sogo Keibi Hosho Co Ltd | Attendance information management system, portable terminal and attendance information management center |
| JP2012079201A (en) * | 2010-10-05 | 2012-04-19 | Bizmobile Inc | Mobile attendance management system and mobile attendance management method |
| CN103428361A (en) * | 2012-04-30 | 2013-12-04 | 苹果公司 | Operating Geographic Location Systems |
| CN105678855A (en) * | 2016-02-04 | 2016-06-15 | 上海易睦网络科技有限公司 | Method and device capable of conducting attendance checking through gesture actions and being suitable for intelligent mobile terminal |
| CN105719055A (en) * | 2016-01-14 | 2016-06-29 | 苏州市伏泰信息科技股份有限公司 | LBS intelligent supervision system of environmental sanitation personnel |
| CN108848139A (en) * | 2018-05-31 | 2018-11-20 | 苏州达家迎信息技术有限公司 | Method, apparatus, terminal, server and the storage medium of attendance tracking |
| KR20190062098A (en) * | 2017-11-28 | 2019-06-05 | (주)비피앤솔루션 | Working time measurement system and method |
| CN109945877A (en) * | 2017-12-20 | 2019-06-28 | 北京中盈安信技术服务股份有限公司 | A kind of patrolled and examined track generation method and device |
| KR102105701B1 (en) * | 2019-06-26 | 2020-04-28 | 주식회사 오웬스그룹 | System for time and attendance management of members |
| CN111260898A (en) * | 2020-01-22 | 2020-06-09 | 上海杰狮信息技术有限公司 | Monitoring system and monitoring method for field worker behaviors |
| KR20200134034A (en) * | 2019-05-21 | 2020-12-01 | 이호진 | Method and system for accident prevention and attendance management in the workplace |
-
2021
- 2021-02-08 CN CN202110184147.0A patent/CN112985451B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003288455A (en) * | 2002-03-27 | 2003-10-10 | Ntt Docomo Inc | Attendance status deciding device and attendance status display device and program and recording medium |
| JP2004178404A (en) * | 2002-11-28 | 2004-06-24 | Aruze Corp | Attendance management method and attendance management system |
| JP2005092342A (en) * | 2003-09-12 | 2005-04-07 | Sogo Keibi Hosho Co Ltd | Attendance information management system, portable terminal and attendance information management center |
| JP2012079201A (en) * | 2010-10-05 | 2012-04-19 | Bizmobile Inc | Mobile attendance management system and mobile attendance management method |
| CN103428361A (en) * | 2012-04-30 | 2013-12-04 | 苹果公司 | Operating Geographic Location Systems |
| CN105719055A (en) * | 2016-01-14 | 2016-06-29 | 苏州市伏泰信息科技股份有限公司 | LBS intelligent supervision system of environmental sanitation personnel |
| CN105678855A (en) * | 2016-02-04 | 2016-06-15 | 上海易睦网络科技有限公司 | Method and device capable of conducting attendance checking through gesture actions and being suitable for intelligent mobile terminal |
| KR20190062098A (en) * | 2017-11-28 | 2019-06-05 | (주)비피앤솔루션 | Working time measurement system and method |
| CN109945877A (en) * | 2017-12-20 | 2019-06-28 | 北京中盈安信技术服务股份有限公司 | A kind of patrolled and examined track generation method and device |
| CN108848139A (en) * | 2018-05-31 | 2018-11-20 | 苏州达家迎信息技术有限公司 | Method, apparatus, terminal, server and the storage medium of attendance tracking |
| KR20200134034A (en) * | 2019-05-21 | 2020-12-01 | 이호진 | Method and system for accident prevention and attendance management in the workplace |
| KR102105701B1 (en) * | 2019-06-26 | 2020-04-28 | 주식회사 오웬스그룹 | System for time and attendance management of members |
| CN111260898A (en) * | 2020-01-22 | 2020-06-09 | 上海杰狮信息技术有限公司 | Monitoring system and monitoring method for field worker behaviors |
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