CN113468392B - Geofence-based location data processing system - Google Patents
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- CN113468392B CN113468392B CN202110733814.6A CN202110733814A CN113468392B CN 113468392 B CN113468392 B CN 113468392B CN 202110733814 A CN202110733814 A CN 202110733814A CN 113468392 B CN113468392 B CN 113468392B
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- 238000004590 computer program Methods 0.000 claims abstract description 12
- 238000004080 punching Methods 0.000 claims description 111
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Abstract
The invention relates to a position data processing system based on geofences, which comprises M first mobile terminals corresponding to M first users i d, second mobile terminals corresponding to N second users i d, a first database, a processor and a memory storing a computer program, wherein each second user i d corresponds to one or more first user ids, M > > N, a preset first app is installed on each first mobile terminal, a preset second app is installed on each second mobile terminal, a target information record is stored in the first database, and the target information record field comprises first user i d, first user identification information, preset geofence information, a preset card-playing time list and second user i d. The invention improves the accuracy of the position data processing and reduces the operand of the position data processing system.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a position data processing system based on a geofence.
Background
In many existing application scenarios, it is required to acquire location information of a target person, and with the continuous development of mobile terminal technologies and big data technologies, existing mobile terminal location processing systems generally bind the target person with a mobile terminal, and then identify whether the target person is located in a preset area based on the location information of the mobile terminal. However, when the accuracy of the position data of the mobile terminal is too small, the recognition accuracy is low, and when the accuracy of the position data of the mobile terminal is too high, the recognition accuracy is also reduced, and many erroneous judgment are caused, so that the calculated amount is increased. Especially when the number of target people is large, for example, over ten thousand, a large number of misjudgments and a low recognition accuracy will greatly increase the operational burden of the location data processing system. Therefore, how to improve the accuracy of the position data processing system, reduce the operation amount of the position data processing system, and improve the accuracy of whether the identification target person is located in the preset area becomes a technical problem to be solved.
Disclosure of Invention
The invention aims to provide a position data processing system based on a geofence, which improves the accuracy of position data processing and reduces the operand of the position data processing system.
According to a first aspect of the present invention, there is provided a geofence-based location data processing system, including M first mobile terminals corresponding to M first user ids, a second mobile terminal corresponding to N second user ids, a first database, a processor, and a memory storing a computer program, wherein each second user id corresponds to one or more first user ids, M > > N, the first mobile terminal is installed with a preset first app, the second mobile terminal is installed with a preset second app, a target information record is stored in the first database, the target information record field includes a first user id, first user identification information, preset geofence information, a preset time of punching, a second user id, the preset time of punching list is dynamically adjustable based on the time of punching set information sent by the second app, the preset time of punching includes a first preset time of punching, a second preset time of punching, …, 3784, and …, 371=i;
when the processor executes the computer program, the following steps are implemented:
step S1, acquiring first user detection information acquired by the first app in real time at a certain moment in a preset ith card punching time period, and matching the first user detection information with first user identification information in the first database, if the matching is successful, executing step S2, otherwise, transmitting first card punching failure information at the preset ith card punching time to a corresponding second app, wherein the ith card punching time period is [ the preset ith card punching time-the preset first time interval, the preset ith card punching time + the preset first time interval ];
step S2, acquiring the ith card punching position information acquired by the first app in real time, judging whether the ith card punching position information is located in a preset geofence corresponding to the first user, if so, sending the ith preset card punching operation information to the second app, otherwise, sending second card punching failure information at the ith preset card punching time to the second app, wherein the accuracy of the ith card punching position information is smaller than the boundary accuracy of the preset geofence.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By means of the technical scheme, the geofence-based position data processing system provided by the invention can achieve quite technical progress and practicability, has wide industrial utilization value, and has at least the following advantages:
the invention can improve the accuracy of the position data processing system, reduce the operation amount of the position data processing system and improve the accuracy of whether the identification target personnel are positioned in the preset area.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
FIG. 1 is a schematic diagram of a geofence-based location data processing system according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects of the present invention for achieving the intended purpose, a specific implementation of a geofence-based location data processing system and its effects according to the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts steps as a sequential process, many of the steps may be implemented in parallel, concurrently, or with other steps. Furthermore, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The embodiment of the invention provides a position data processing system based on geofences, as shown in fig. 1, comprising M first mobile terminals corresponding to M first user ids, second mobile terminals corresponding to N second user ids, a first database, a processor and a memory storing a computer program, wherein the first database, the processor and the memory storing the computer program can be arranged in one server, as shown in an example in fig. 1. Each second user id corresponds to one or more first user ids, M > > N, the first mobile terminal is provided with a preset first app, and the second mobile terminal is provided with a preset second app, and it should be noted that the first app and the second app may be different apps or two different app clients of the same app. The first database stores target information records, and the target information record field comprises a first user id, first user identification information, preset geofence information, a preset card punching time list and a second user id. The second app logged in by the second user has permission to acquire all target information records corresponding to the second user id, the preset card punching time list can be dynamically adjusted based on card punching time setting information sent by the second app, and preset geofence information can be dynamically adjusted based on geofence setting information sent by the second app, so that it can be understood that different preset card punching times can be set for different first users, and preset card punching frequencies can also be different. The preset card punching time list comprises a first preset card punching time, a second preset card punching time, … and an ith preset card punching time, …, wherein i=1, 2 and 3 …;
when the processor executes the computer program, the following steps are implemented:
step S1, acquiring first user detection information acquired by the first app in real time at a certain moment in a preset ith card punching time period, and matching the first user detection information with first user identification information in the first database, if the matching is successful, executing step S2, otherwise, transmitting first card punching failure information at the preset ith card punching time to a corresponding second app, wherein the ith card punching time period is [ the preset ith card punching time-the preset first time interval, the preset ith card punching time + the preset first time interval ];
as an embodiment, the first user detection information may be face living body detection information, and the corresponding first user identification information is face identification information of a first user id. The first time interval is determined according to a specific application scenario, and as an embodiment, the first time interval is 15 minutes. Taking the ith card punching time as an example of nine am on a certain day, the ith card punching time period is 8:45-9:15 on the same day.
Step S2, acquiring the ith card punching position information acquired by the first app in real time, judging whether the ith card punching position information is located in a preset geofence corresponding to the first user, if so, sending the ith preset card punching operation information to the second app, otherwise, sending second card punching failure information at the ith preset card punching time to the second app, wherein the accuracy of the ith card punching position information is smaller than the boundary accuracy of the preset geofence.
It should be noted that, the preset geofence precision may be directly a boundary area of a region, for example, a boundary area corresponding to a certain city, and the precision of the ith card punching position information is set to be smaller than the boundary precision of the preset geofence, so that when the first user is located in the geofence boundary area, erroneous judgment caused by position shake can be avoided, and the accuracy of the system in judging that the first user is all in the geofence is improved, especially, for the area adjacent to the geofence boundary is an area which is not reachable or usually not reachable by the first person, for example, the adjacent area is a sea water area, a river water area, a mountain peak, and the like. In such a scenario, if the reported i-th card punching position information is in the adjacent area, the i-th card punching position information can be directly judged to be in the geofence area, so that erroneous judgment can be reduced, and the system accuracy can be improved.
The system provided by the embodiment of the invention can improve the accuracy of the position data processing system, reduce the operand of the position data processing system and improve the accuracy of whether the identification target personnel are positioned in the preset area.
In order to further improve accuracy of the system, as an embodiment, each first user id binds a corresponding first mobile terminal id, the target information record further includes the first mobile terminal id, the system further includes a second database, and the second database is configured to store terminal position information reported by the first mobile terminal at a second time interval preset at each interval, where the second time interval is smaller than the first time interval, and accuracy of the terminal position is greater than that of the card punching position, it can be understood that the card punching position is the first app real-time collecting card punching position, including the i preset moment card punching position, and also includes an instant card punching position in the example that accuracy of the i preset moment card punching position and the instant card punching position is the same, for example, may be set to 8-bit geohash, and accuracy of the first mobile terminal collecting the terminal position is 16-bit geohash accuracy, and boundary accuracy of the preset geographical fence is 12-bit geohash accuracy.
When the step S2 determines whether the ith card punching position information is located in the preset geofence corresponding to the first user, before sending the second card punching failure information of the ith preset card punching time to the second app, the method may further include the following steps:
step S10, acquiring terminal position information of a first mobile terminal id corresponding to a first user id, which is closest to the current moment, from the second database, judging whether the terminal position information is located in a preset electronic fence corresponding to the first user, if so, sending the i-th preset card punching operation information to the second app, and otherwise, sending second card punching failure information at the i-th preset card punching moment to the second app. Therefore, when the first app collects the jitter, the flyaway and the like of the card punching position in real time and performs error judgment, the calibration is performed through the terminal position information of the first terminal corresponding to the first user, and the accuracy of system judgment is improved.
In order to detect whether the first user leaves the geofenced area within the two pre-set time-to-punch interval when the two pre-set time-to-punch interval of the first user is large, as an embodiment, the following steps are also implemented when the processor executes the computer program:
step S11, acquiring terminal position information reported by a first user id in a preset ix time period from the second database, judging whether the duty ratio of all the terminal position information reported by the position information outside the geofence in the ix time period in the terminal position information reported in the ix time period is larger than a preset duty ratio threshold value, and if so, sending first early warning information to a corresponding second app, wherein the ix time period belongs to the [ ith preset card punching time, the (i+1) th preset card punching time ].
It may be appreciated that by determining whether the duty ratio of all the terminal position information reported in the ix-th period of the terminal position information that is located outside the geofence in the terminal position information reported in the ix-th period is greater than the preset duty ratio threshold, it may be primarily determined that the first user may possibly leave the geofence area with the corresponding first terminal, and further determining that the first user may perform instant punching, as an embodiment, the step S11 further includes:
step S12, acquiring a first even-card-punching instruction sent by the second app based on the first early warning information, and sending the first even-card-punching instruction to the corresponding first app;
step S13, judging whether first user detection information sent by the first app is received within a preset third time interval from the start of issuing a first instant card punching instruction, if so, executing step S14, and if not, or if not, sending second early warning information to the second app;
step S14, acquiring first instant punching position information acquired by the first app in real time, judging whether the first instant punching position information is located in a preset geofence corresponding to the first user, if so, sending first instant punching operation information to the second app, eliminating the first early warning information, and otherwise, sending third early warning information to the second app.
It can be understood that the early warning level of the second early warning information and the early warning level of the third early warning information are higher than the early warning level of the first early warning information, and through further verification, when step S14 further judges that the instant card punching is successful, the first early warning information is eliminated, so that based on the card punching position of the first app and the terminal position of the first mobile terminal, mutual verification is performed, and the accuracy of judging whether the first user is in the corresponding geofence by the system is improved.
In addition to the above embodiments, a scenario may also occur in which the user leaves the corresponding geofence without carrying the corresponding first mobile terminal, as an embodiment, the following steps may be implemented when the processor executes the computer program:
step S100, acquiring, from the second database, all terminal position information reported by the first user id in a preset iy time period, and if the terminal position information is located at the same position and the position is located in a geofence corresponding to the first user id, sending fourth early warning information to a corresponding second app, where the iy time period belongs to [ i preset time, i+1 preset time ].
It may be appreciated that, in order to improve the accuracy of the determination, the step S100 may further include, as an embodiment, the step S100 may further include:
step 200, acquiring a second even card punching instruction sent by the second app based on the fourth early warning information, and sending the second even card punching instruction to the corresponding first app;
step S30, judging whether first user detection information sent by the first app is received within a preset fourth time interval from the start of issuing even the card punching instruction, if the first user detection information is received and matched with first user identification information in the first database, sending second instant card punching operation information to the second app, eliminating the fourth early warning information, and if the first user detection information is not received or is not matched with the first user identification information in the first database, sending fifth early warning information to the second app.
It should be noted that, the early warning priority of the fifth early warning information is higher than the early warning priority of the fourth early warning information. And each priority information can contain a corresponding early warning reason, and can be distinguished by different forms on a display interface, for example, different colors are adopted for distinguishing.
The present invention is not limited to the above-mentioned embodiments, but is intended to be limited to the following embodiments, and any modifications, equivalents and modifications can be made to the above-mentioned embodiments without departing from the scope of the invention.
Claims (9)
1. A geofence-based location data processing system, characterized in that,
the system comprises M first mobile terminals corresponding to M first user ids, second mobile terminals corresponding to N second user ids, a first database, a processor and a memory storing a computer program, wherein each second user id corresponds to one or more first user ids, M > > N, a preset first app is installed on each first mobile terminal, a preset second app is installed on each second mobile terminal, a target information record is stored in the first database, the target information record field comprises the first user id, first user identification information, preset geofence information, a preset card punching time list and the second user id, the preset card punching time list can be dynamically adjusted based on card punching time setting information sent by the second app, the preset geofence information can be dynamically adjusted based on geofence setting information sent by the second app, the preset card punching time list comprises a first preset card punching time, a second preset card punching time, …, an i-th preset card punching time, 35i=1, 3, 35i=3, and …;
when the processor executes the computer program, the following steps are implemented:
step S1, acquiring first user detection information acquired by the first app in real time at a certain moment in a preset ith card punching time period, and matching the first user detection information with first user identification information in the first database, if the matching is successful, executing step S2, otherwise, transmitting first card punching failure information at the preset ith card punching time to a corresponding second app, wherein the ith card punching time period is [ the preset ith card punching time-the preset first time interval, the preset ith card punching time + the preset first time interval ];
step S2, acquiring the ith card punching position information acquired by the first app in real time, judging whether the ith card punching position information is located in a preset geofence corresponding to the first user, if so, sending the ith preset card punching operation information to the second app, otherwise, sending second card punching failure information at the ith preset card punching time to the second app, wherein the accuracy of the ith card punching position information is smaller than the boundary accuracy of the preset geofence.
2. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
each first user id is bound with a corresponding first mobile terminal id, the target information record further comprises the first mobile terminal id, the system further comprises a second database, the second database is used for storing terminal position information reported by the first mobile terminal at each preset second time interval, the second time interval is smaller than the first time interval, and the precision of the terminal position is larger than that of the card punching position.
3. The system of claim 2, wherein the system further comprises a controller configured to control the controller,
when the step S2 determines whether the ith card punching position information is located in the preset geofence corresponding to the first user, before sending the second card punching failure information of the ith preset card punching time to the second app, the method further includes the following steps:
step S10, acquiring terminal position information of a first mobile terminal id corresponding to a first user id, which is closest to the current moment, from the second database, judging whether the terminal position information is located in a preset electronic fence corresponding to the first user, if so, sending the i-th preset card punching operation information to the second app, and otherwise, sending second card punching failure information at the i-th preset card punching moment to the second app.
4. The system of claim 2, wherein the system further comprises a controller configured to control the controller,
when the processor executes the computer program, the following steps are also implemented:
step S11, acquiring terminal position information reported by a first user id in a preset ix time period from the second database, judging whether the duty ratio of all the terminal position information reported by the position information outside the geofence in the ix time period in the terminal position information reported in the ix time period is larger than a preset duty ratio threshold value, and if so, sending first early warning information to a corresponding second app, wherein the ix time period belongs to the [ ith preset card punching time, the (i+1) th preset card punching time ].
5. The system of claim 4, wherein the system further comprises a controller configured to control the controller,
the step S11 further includes:
step S12, acquiring a first even-card-punching instruction sent by the second app based on the first early warning information, and sending the first even-card-punching instruction to the corresponding first app;
step S13, judging whether first user detection information sent by the first app is received within a preset third time interval from the start of issuing a first instant card punching instruction, if so, executing step S14, and if not, or if not, sending second early warning information to the second app;
step S14, acquiring first instant punching position information acquired by the first app in real time, judging whether the first instant punching position information is located in a preset geofence corresponding to the first user, if so, sending first instant punching operation information to the second app, eliminating the first early warning information, and otherwise, sending third early warning information to the second app.
6. The system of claim 2, wherein the system further comprises a controller configured to control the controller,
when the processor executes the computer program, the following steps are also implemented:
step S100, acquiring, from the second database, all terminal position information reported by the first user id in a preset iy time period, and if the terminal position information is located at the same position and the position is located in a geofence corresponding to the first user id, sending fourth early warning information to a corresponding second app, where the iy time period belongs to [ i preset time, i+1 preset time ].
7. The system of claim 6, wherein the system further comprises a controller configured to control the controller,
the step S100 further includes:
step 200, acquiring a second even card punching instruction sent by the second app based on the fourth early warning information, and sending the second even card punching instruction to the corresponding first app;
step S30, judging whether first user detection information sent by the first app is received or not within a preset fourth time interval from the start of issuing even the card punching instruction, and if not received or the received first user detection information is not matched with the first user identification information in the first database, sending fifth early warning information to the second app.
8. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the first user detection information is human face living body detection information.
9. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the precision of the first app real-time acquisition card punching position is 8-bit geohash precision, the precision of the first mobile terminal acquisition terminal position is 16-bit geohash precision, and the boundary precision of the preset geofence is 12-bit geohash precision.
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| CN202110733814.6A CN113468392B (en) | 2021-06-30 | 2021-06-30 | Geofence-based location data processing system |
| CN202311436507.7A CN117421463A (en) | 2021-06-30 | 2021-06-30 | Geofence-based location data processing system |
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| CN117421463A (en) | 2024-01-19 |
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