CN115294778A - Regional vehicle access statistical method and system - Google Patents
Regional vehicle access statistical method and system Download PDFInfo
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- CN115294778A CN115294778A CN202211187610.8A CN202211187610A CN115294778A CN 115294778 A CN115294778 A CN 115294778A CN 202211187610 A CN202211187610 A CN 202211187610A CN 115294778 A CN115294778 A CN 115294778A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/024—Guidance services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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Abstract
The invention provides a regional vehicle access statistical method and a system, comprising a step 110 of acquiring first GPS data of a vehicle and extracting first time and first positioning information; step 120, receiving second GPS data of the vehicle, and extracting second time and second positioning information; step 130, determining whether the second positioning information and the first positioning information belong to a first area; step 140, if yes, using the second GPS data as the first GPS data, and repeating steps 110 to 130; step 150, if not, taking the second time as a first end time when the vehicle exits the first area and a second start time when the vehicle enters the second area; step 160, using the second GPS data as the first GPS data, and repeating steps 110 to 160; respectively obtaining the starting time and the ending time of the vehicle entering and exiting a plurality of areas; to count vehicles entering and exiting a particular area for a particular period of time.
Description
Technical Field
The invention relates to the technical field of vehicle statistics, in particular to a regional vehicle access statistical method and a regional vehicle access statistical system.
Background
Since an epidemic situation is outbreak in recent years, it is necessary to manage an area where an epidemic situation may occur. However, due to the fact that the occurrence and the existence of the epidemic situation are not uniform, the epidemic situation usually occurs for a period of time when the epidemic situation is found, and therefore the difficulty of counting vehicles passing through an epidemic situation area at a specific time is high.
In view of the above, the present invention provides a method and a system for counting vehicles entering and exiting a specific area in a specific time period.
Disclosure of Invention
The invention aims to provide a regional vehicle access statistical method, which comprises the following steps of 110, acquiring first GPS data of a vehicle, and extracting first time and first positioning information; step 120, receiving second GPS data of the vehicle, and extracting second time and second positioning information; the second GPS data is acquired later than the first GPS data; step 130, determining whether the second positioning information and the first positioning information belong to a first area; the first area is an area to which the first positioning information belongs; step 140, if yes, taking the second GPS data as the first GPS data, and repeating steps 110 to 130; step 150, if not, taking the second time as a first end time when the vehicle exits the first area and a second start time when the vehicle enters the second area, and recording the first end time and the second start time; step 160, using the second GPS data as the first GPS data, and repeating steps 110 to 160; and respectively obtaining the starting time and the ending time of the vehicle entering and exiting the plurality of areas.
Further, determining a target area based on the epidemic situation range; acquiring a plurality of sub-regions belonging to the target region; acquiring a plurality of start times and a plurality of end times of vehicles entering and exiting the plurality of sub-areas; taking a most forward time of the plurality of start times as a time when the vehicle enters the target area; and taking the latest time in the plurality of end times as the time when the vehicle leaves the target area.
Further, the method also comprises the step of determining a target time period based on the epidemic situation starting time and the epidemic situation ending time; and determining whether the vehicle is an epidemic area vehicle or not based on the time when the vehicle enters the target area, the time when the vehicle exits the target area and the target time period.
Further, whether the GPS data is valid or not is judged, and when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not in the range of a preset area, the GPS data is determined to be invalid, and the GPS data is not processed.
Further, the method also comprises the steps of respectively storing the starting time and the ending time of the plurality of areas according to the month, and judging whether the first time and the second time span the month or not; if so, taking the first time as the end time of the previous month of the vehicle in the first area, and storing the vehicle access condition table of the previous month of the vehicle in the first area; and taking the second time as the starting time of the vehicle in the first area in the current month, and taking the second GPS data as the first GPS data to start recording the vehicle access condition in the current month of the first area.
The invention aims to provide a regional vehicle access statistical system which comprises an acquisition module, a receiving module, a judgment module and a determination module, wherein the acquisition module is used for acquiring a regional vehicle access statistical system; the acquisition module is used for acquiring first GPS data of the vehicle and extracting first time and first positioning information; the receiving module is used for receiving second GPS data of the vehicle and extracting second time and second positioning information; the second GPS data is acquired at a later time than the first GPS data; the judging module is used for judging whether the second positioning information and the first positioning information belong to a first area; the first area is an area to which the first positioning information belongs; the acquisition module is further configured to use the second GPS data as the first GPS data when the second positioning information and the first positioning information belong to a first area; the determining module is configured to, when the second positioning information and the first positioning information do not belong to the same area, take the second time as a first end time when the vehicle exits from the first area and a second start time when the vehicle enters into a second area, and record the first end time and the second start time; the acquisition module is further configured to, after the first end time and the second start time are recorded, take the second GPS data as the first GPS data to obtain start times and end times when the vehicle enters and exits from multiple areas, respectively.
Further, the system also comprises a target area access time determining module; the target area in-out time determining module is used for determining a target area based on an epidemic situation range; acquiring a plurality of sub-regions belonging to the target region; acquiring a plurality of start times and a plurality of end times of vehicles entering and exiting the plurality of sub-areas; taking a most forward time of the plurality of start times as a time when the vehicle enters the target area; and taking the latest time in the plurality of end times as the time when the vehicle leaves the target area.
Further, the epidemic area vehicle determining system further comprises an epidemic area vehicle determining module, wherein the epidemic area vehicle determining module is used for determining a target time period based on the epidemic situation starting time and the epidemic situation ending time; and determining whether the vehicle is an epidemic area vehicle or not based on the time when the vehicle enters the target area, the time when the vehicle exits the target area and the target time period.
The GPS data processing device further comprises a GPS data judging module, wherein the GPS data judging module is used for judging whether the GPS data is valid or not, and when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not in the range of a preset area, the GPS data is determined to be invalid and is not processed.
Further, the mobile terminal further comprises a storage module, wherein the storage module is used for respectively storing the starting time and the ending time of the plurality of areas according to the month, and judging whether the first time and the second time span the month or not; if so, taking the second time as the end time of the previous month of the vehicle in the first area, and storing the vehicle access condition table of the previous month of the vehicle in the first area; and taking the second time as the start time of the vehicle in the first area in the current month, taking the second GPS data as the first GPS data, and starting to record the vehicle access condition of the first area in the current month.
The technical scheme of the embodiment of the invention at least has the following advantages and beneficial effects:
some embodiments in this specification divide a large area into a plurality of small areas, and count start times and end times when a vehicle enters and exits the plurality of small areas, so that the amount of stored data can be reduced and the subsequent data query efficiency can be improved in the case of knowing that the vehicle enters and exits the areas.
Some embodiments in this specification generate a target area and a target time period based on the situation of an epidemic situation, and search for sub-areas based on the target area and search for vehicles in the epidemic area based on the target time period, so that various demands can be flexibly met, and the vehicles entering the epidemic area in a specific time period can be more conveniently queried.
Some embodiments in this specification enable flexible query of vehicle access area conditions by performing statistics on vehicles entering and exiting the area monthly.
Drawings
FIG. 1 is an exemplary flow chart of a method for regional vehicle ingress and egress statistics provided in accordance with certain embodiments of the present invention;
FIG. 2 is an exemplary flow chart for determining vehicles entering and exiting an affected area over a period of time, provided by some embodiments of the present invention;
FIG. 3 is an exemplary flow chart providing monthly storage of start and end times for vehicles entering and exiting a plurality of zones, according to some embodiments of the invention;
fig. 4 is an exemplary flowchart of a system for statistical in-and-out of vehicles in a region according to some embodiments of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Fig. 1 is an exemplary flowchart of a method for statistical entrance and exit of vehicles in a region according to some embodiments of the present invention. In some embodiments, process 100 may be performed by system 300. As shown in fig. 1, the process 100 may include the following steps:
In some embodiments, the vehicle may send its own GPS data to the logic server, which may send the GPS data to the statistical system. The first GPS data and the second GPS data are GPS data sent by the vehicle at different times, wherein the second GPS data is acquired at a later time than the first GPS data.
In some embodiments, the method further comprises judging whether the GPS data is valid, and determining that the GPS data is invalid and not processing the GPS data when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not within the preset area. The current time may refer to the current time of the system. For example, the current time of the system is 2022-08-05 14. The preset area range may refer to a range in which GPS data set in advance is valid. For example, latitude and longitude in china may be considered valid for GPS data.
The first area is an area to which the first positioning information belongs. The division of the regions may be determined according to requirements.
And step 140, if so, taking the second GPS data as the first GPS data, and repeating the steps 110 to 130.
When the first positioning information and the second positioning information belong to the same area, it is indicated that the vehicle has not left the first area, and therefore, the second positioning information is not the end time of the vehicle in the first area.
And 150, if not, taking the second time as a first ending time when the vehicle leaves the first area and a second starting time when the vehicle enters the second area, and recording the first ending time and the second starting time.
When the first positioning information and the second positioning information do not belong to the same area, it is indicated that the vehicle has exited the first area, and therefore, the second positioning information can be regarded as the end time when the vehicle exits the first area, and the second positioning information is also the start time when the vehicle enters the second area.
The condition of vehicles passing in and out of each area can be obtained by continuously recording the starting time and the ending time of the vehicles passing in and out of each area, so that the epidemic area set in the vehicle statistical program is updated every day according to the published epidemic area, and the vehicles passing through the epidemic area and the related tracks are counted according to the tracks of all the vehicles and are independently stored. Data of related vehicles entering and exiting the epidemic area can be timely pushed to a transportation enterprise, and the enterprise is reminded to arrange epidemic situation prevention and control work in time. In addition, the query platform queries the data which are counted well, and the data only comprise the entering and exiting time of the vehicle, so that the queried data volume can be reduced, and the searching efficiency is improved.
FIG. 2 is an exemplary flow chart for determining vehicles entering and exiting an affected area over a period of time, provided by some embodiments of the present invention. In some embodiments, the process 200 may be performed by the target zone entry and exit time determination module and/or the epidemic area vehicle determination module. As shown in fig. 2, the process 200 includes the following steps:
The epidemic range can be obtained through a network. For example, an epidemic situation range is obtained by acquiring an epidemic situation region published by the WeiteCommen, and the epidemic situation range is determined as a target region for the vehicle entering and exiting conditions to be counted. For example, the target area may be an area where an epidemic is occurring.
The sub-area may refer to an area where vehicle ingress and egress is counted. For example, for a city, when counting the vehicle entering and exiting situation, the city may be divided into street areas, and then the starting time and the ending time of the vehicle entering and exiting the street areas may be recorded. After the target area is acquired, a plurality of street areas belonging to the target area may be used as sub-areas of the target area.
In step 230, a plurality of start times and a plurality of end times for the vehicle to enter and exit the plurality of sub-areas are obtained.
For each sub-area, data of vehicles entering and exiting the sub-area are stored in the system, and for each vehicle, a plurality of sub-areas may be entered and exited, so that the vehicle may be recorded by the plurality of sub-areas, and a plurality of start times and a plurality of end times of the sub-area passed by the vehicle may be extracted from the storage modules corresponding to the plurality of sub-areas.
In step 240, the most advanced time among the plurality of start times is taken as the time when the vehicle enters the target area.
And step 250, taking the latest time in the plurality of ending times as the time when the vehicle gets out of the target area.
In some embodiments, the start time and the end time of the vehicle entering and exiting the plurality of sub-areas may be ranked, and the driving process of the vehicle in the target area may be obtained based on the ranking result and the corresponding sub-areas.
In some embodiments, a step 260 of determining a target time period based on the epidemic start time and the epidemic end time may also be included.
The target time period may refer to a time period in which an epidemic occurs.
When the time of the vehicle entering and exiting the target area coincides with the target time period, the vehicle can be determined to be an epidemic area vehicle, the data of the vehicle entering and exiting the epidemic area is pushed to a transportation enterprise in time, and the enterprise is reminded to arrange to do epidemic prevention and control work in time.
FIG. 3 is an exemplary flow chart for monthly storage of start and end times for vehicle ingress and egress to and from multiple zones provided by some embodiments of the present invention. In some embodiments, the process 300 may be performed by a memory module. As shown in fig. 3, the process 300 includes the following steps:
in step 310, it is determined whether the first time and the second time span a month.
And step 320, if yes, taking the first time as the end time of the previous month of the vehicle in the first area, and storing the vehicle access condition table of the previous month of the vehicle in the first area. For example, the first time is 2022-08-3123; and storing the second time and the positioning information corresponding to the second time into the vehicle access condition statistical table of the first area in the 9 months, wherein the second time can be the starting time of the vehicle in the first area in the current month.
And step 330, taking the second time as the starting time of the vehicle in the first area in the current month, taking the second GPS data as the first GPS data, and starting to record the vehicle access condition in the current month of the first area.
Fig. 4 is an exemplary flowchart of a system for statistical in-and-out of vehicles in a region according to some embodiments of the present invention. As shown in fig. 4, the system 400 may include an acquisition module 410, a receiving module 420, a determination module 430, and a determination module 440.
The acquisition module is used for acquiring first GPS data of the vehicle and extracting first time and first positioning information.
The receiving module is used for receiving second GPS data of the vehicle and extracting second time and second positioning information; the second GPS data is acquired at a later time than the first GPS data.
The judging module is used for judging whether the second positioning information and the first positioning information belong to the first area; the first area is an area to which the first positioning information belongs.
The acquisition module is further used for taking the second GPS data as the first GPS data when the second positioning information and the first positioning information belong to the first area.
The determining module is used for taking the second time as a first end time when the vehicle leaves the first area and a second start time when the vehicle enters the second area when the second positioning information and the first positioning information do not belong to the same area, and recording the first end time and the second start time.
The acquisition module is further used for taking the second GPS data as the first GPS data after the first end time and the second start time are recorded, and respectively obtaining the start time and the end time when the vehicle enters and exits the plurality of areas.
In some embodiments, a target area entry and exit time determination module is further included; the target area in-out time determining module is used for determining a target area based on an epidemic situation range; acquiring a plurality of sub-regions belonging to a target region; acquiring a plurality of start times and a plurality of end times of vehicles entering and exiting a plurality of sub-areas; taking the most advanced time in the plurality of start times as the time when the vehicle enters the target area; and taking the latest time in the plurality of end times as the time when the vehicle leaves the target area.
In some embodiments, the epidemic situation vehicle determination system further comprises an epidemic situation vehicle determination module, wherein the epidemic situation vehicle determination module is used for determining a target time period based on the epidemic situation starting time and the epidemic situation ending time; and determining whether the vehicle is an epidemic area vehicle or not based on the time when the vehicle enters the target area, the time when the vehicle exits the target area and the target time period.
In some embodiments, the mobile terminal further includes a GPS data determination module, where the GPS data determination module is configured to determine whether the GPS data is valid, and when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not within the preset area range, determine that the GPS data is invalid and do not process the GPS data.
In some embodiments, the mobile terminal further comprises a storage module, wherein the storage module is used for respectively storing the start time and the end time of the plurality of areas according to months, and comprises a step of judging whether the first time and the second time span months or not; if yes, the second time is taken as the end time of the previous month of the vehicle in the first area, and a vehicle access condition table of the previous month of the vehicle in the first area is stored; and taking the second time as the starting time of the vehicle in the first area in the current month, and taking the second GPS data as the first GPS data to start recording the vehicle access condition in the current month in the first area.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A regional vehicle access statistical method is characterized by comprising
Step 110, acquiring first GPS data of a vehicle, and extracting first time and first positioning information;
step 120, receiving second GPS data of the vehicle, and extracting second time and second positioning information; the second GPS data is acquired later than the first GPS data;
step 130, determining whether the second positioning information and the first positioning information belong to a first area; the first area is an area to which the first positioning information belongs;
step 140, if yes, using the second GPS data as the first GPS data, and repeating steps 110 to 130;
step 150, if not, taking the second time as a first end time when the vehicle exits the first area and a second start time when the vehicle enters the second area, and recording the first end time and the second start time;
step 160, using the second GPS data as the first GPS data, and repeating steps 110 to 160; and respectively obtaining the starting time and the ending time of the vehicle entering and exiting the plurality of areas.
2. The regional vehicle ingress and egress statistical method according to claim 1, further comprising
Determining a target area based on the epidemic situation range;
acquiring a plurality of sub-regions belonging to the target region;
obtaining a plurality of start times and a plurality of end times of vehicles entering and exiting the plurality of sub-areas;
taking a most forward time of the plurality of start times as a time when the vehicle enters the target area;
and taking the latest time in the plurality of end times as the time when the vehicle leaves the target area.
3. The regional vehicle ingress and egress statistical method according to claim 2, further comprising
Determining a target time period based on the epidemic situation starting time and ending time;
and determining whether the vehicle is an epidemic area vehicle or not based on the time when the vehicle enters the target area, the time when the vehicle exits the target area and the target time period.
4. The method according to claim 1, further comprising determining whether GPS data is valid, and determining that the GPS data is invalid and not processing the GPS data when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not within a preset area.
5. The regional vehicle entry and exit statistical method of claim 1, further comprising storing start times and end times of the plurality of regions separately on a monthly basis, including
Judging whether the first time and the second time span the month or not;
if so, taking the first time as the end time of the previous month of the vehicle in the first area, and storing the vehicle access condition table of the previous month of the vehicle in the first area;
and taking the second time as the starting time of the vehicle in the first area in the current month, and taking the second GPS data as the first GPS data to start recording the vehicle access condition in the current month of the first area.
6. A regional vehicle access statistical system is characterized by comprising an acquisition module, a receiving module, a judgment module and a determination module;
the acquisition module is used for acquiring first GPS data of the vehicle and extracting first time and first positioning information;
the receiving module is used for receiving second GPS data of the vehicle and extracting second time and second positioning information; the second GPS data is acquired later than the first GPS data;
the judging module is used for judging whether the second positioning information and the first positioning information belong to a first area; the first area is an area to which the first positioning information belongs;
the acquisition module is further configured to use the second GPS data as the first GPS data when the second positioning information and the first positioning information belong to a first area;
the determining module is configured to, when the second positioning information and the first positioning information do not belong to the same area, take the second time as a first end time when the vehicle exits the first area and a second start time when the vehicle enters the second area, and record the first end time and the second start time;
the acquisition module is further configured to, after the first end time and the second start time are recorded, take the second GPS data as the first GPS data to obtain start times and end times when the vehicle enters and exits from multiple areas, respectively.
7. The system according to claim 6, further comprising a target zone entry time determination module; the target area in-out time determining module is used for determining a target area based on an epidemic situation range; acquiring a plurality of sub-regions belonging to the target region; acquiring a plurality of start times and a plurality of end times of vehicles entering and exiting the plurality of sub-areas; taking a most forward time of the plurality of start times as a time when the vehicle enters the target area; and taking the latest time in the plurality of end times as the time when the vehicle leaves the target area.
8. The system according to claim 7, further comprising an epidemic area vehicle determination module, wherein the epidemic area vehicle determination module is used for determining a target time period based on epidemic situation start time and end time; and determining whether the vehicle is an epidemic area vehicle or not based on the time when the vehicle enters the target area, the time when the vehicle exits the target area and the target time period.
9. The system according to claim 6, further comprising a GPS data determination module, wherein the GPS data determination module is configured to determine whether GPS data is valid, and when the time in the GPS data exceeds the current time and/or the positioning information in the GPS data is not within a preset area range, determine that the GPS data is invalid and not process the GPS data.
10. The system according to claim 6, further comprising a storage module for storing start times and end times of the plurality of zones, respectively, on a monthly basis, including determining whether the first time and the second time span a month; if so, taking the second time as the end time of the previous month of the vehicle in the first area, and storing the vehicle access condition table of the previous month of the vehicle in the first area; and taking the second time as the start time of the vehicle in the first area in the current month, taking the second GPS data as the first GPS data, and starting to record the vehicle access condition of the first area in the current month.
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| CN116485301A (en) * | 2023-05-30 | 2023-07-25 | 佛山众陶联供应链服务有限公司 | Service authenticity judging method and system based on service information and logistics information |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201239826A (en) * | 2011-03-31 | 2012-10-01 | Chunghwa Telecom Co Ltd | System and method for detecting vehicle accessing area |
| CN103294790A (en) * | 2013-05-22 | 2013-09-11 | 西北工业大学 | Spatiotemporal semantic meaning indexing and retrieving method aiming at GPS (global positioning system) trajectory data |
| CN110717926A (en) * | 2018-07-13 | 2020-01-21 | 杭州海康威视数字技术股份有限公司 | Method and device for acquiring pedestrian flow information |
| CN111405488A (en) * | 2020-03-31 | 2020-07-10 | 中科星图(深圳)数字技术产业研发中心有限公司 | Vehicle management method for multi-track cooperative tracking |
| CN111415754A (en) * | 2020-04-15 | 2020-07-14 | 郭保威 | Confirmed case close contact person investigation system based on Internet of things |
| CN111524607A (en) * | 2020-03-26 | 2020-08-11 | 北京三快在线科技有限公司 | Distributor information processing method, distributor information acquisition method, distributor information display method and distributor information display system |
| CN111667698A (en) * | 2020-06-06 | 2020-09-15 | 四川科泰智能电子有限公司 | Monitoring system breaks rules and regulations |
| CN112069888A (en) * | 2020-07-31 | 2020-12-11 | 深圳市金溢科技股份有限公司 | Vehicle checking method and system, roadside equipment, vehicle-mounted equipment and handheld terminal |
| CN112182053A (en) * | 2020-10-27 | 2021-01-05 | 青岛以萨数据技术有限公司 | Epidemic situation prevention and control system, method, terminal and medium based on big data |
| CN112235712A (en) * | 2020-09-03 | 2021-01-15 | 浙江吉利汽车研究院有限公司 | Vehicle driving early warning method, system, device and equipment |
| CN112669988A (en) * | 2020-02-20 | 2021-04-16 | 单正建 | Fine particle tight-joint detection method and system and interactive access management system |
| CN113035366A (en) * | 2021-03-24 | 2021-06-25 | 南方科技大学 | Close contact person identification method, close contact person identification device, electronic device and storage medium |
| CN113161006A (en) * | 2021-03-24 | 2021-07-23 | 南方科技大学 | Close contact person infection risk assessment method, close contact person infection risk assessment device, electronic equipment and storage medium |
| CN113543015A (en) * | 2020-04-13 | 2021-10-22 | 华为技术有限公司 | Communication method, device and system |
| CN113593713A (en) * | 2020-12-30 | 2021-11-02 | 南方科技大学 | Epidemic situation prevention and control method, device, equipment and medium |
| CN113871023A (en) * | 2021-07-07 | 2021-12-31 | 厦门市美亚柏科信息股份有限公司 | Social behavior-based infectious disease tracking method, device, equipment and medium |
| CN114067560A (en) * | 2021-09-30 | 2022-02-18 | 交通运输部公路科学研究所 | Highway epidemic prevention and control non-inductive personnel detection and vehicle trajectory tracking system |
| CN114723205A (en) * | 2021-01-04 | 2022-07-08 | 中国移动通信有限公司研究院 | Infectious disease contacter identification method, device and terminal |
| CN115063068A (en) * | 2022-05-30 | 2022-09-16 | 深圳市赛格导航科技股份有限公司 | Epidemic prevention, control and early warning method and system for logistics personnel |
| CN115082277A (en) * | 2022-08-23 | 2022-09-20 | 交通运输部科学研究院 | Vehicle control area travel identification method and device, electronic equipment and storage medium |
-
2022
- 2022-09-28 CN CN202211187610.8A patent/CN115294778A/en active Pending
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201239826A (en) * | 2011-03-31 | 2012-10-01 | Chunghwa Telecom Co Ltd | System and method for detecting vehicle accessing area |
| CN103294790A (en) * | 2013-05-22 | 2013-09-11 | 西北工业大学 | Spatiotemporal semantic meaning indexing and retrieving method aiming at GPS (global positioning system) trajectory data |
| CN110717926A (en) * | 2018-07-13 | 2020-01-21 | 杭州海康威视数字技术股份有限公司 | Method and device for acquiring pedestrian flow information |
| CN112669988A (en) * | 2020-02-20 | 2021-04-16 | 单正建 | Fine particle tight-joint detection method and system and interactive access management system |
| CN111524607A (en) * | 2020-03-26 | 2020-08-11 | 北京三快在线科技有限公司 | Distributor information processing method, distributor information acquisition method, distributor information display method and distributor information display system |
| CN111405488A (en) * | 2020-03-31 | 2020-07-10 | 中科星图(深圳)数字技术产业研发中心有限公司 | Vehicle management method for multi-track cooperative tracking |
| CN113543015A (en) * | 2020-04-13 | 2021-10-22 | 华为技术有限公司 | Communication method, device and system |
| CN111415754A (en) * | 2020-04-15 | 2020-07-14 | 郭保威 | Confirmed case close contact person investigation system based on Internet of things |
| CN111667698A (en) * | 2020-06-06 | 2020-09-15 | 四川科泰智能电子有限公司 | Monitoring system breaks rules and regulations |
| CN112069888A (en) * | 2020-07-31 | 2020-12-11 | 深圳市金溢科技股份有限公司 | Vehicle checking method and system, roadside equipment, vehicle-mounted equipment and handheld terminal |
| CN112235712A (en) * | 2020-09-03 | 2021-01-15 | 浙江吉利汽车研究院有限公司 | Vehicle driving early warning method, system, device and equipment |
| CN112182053A (en) * | 2020-10-27 | 2021-01-05 | 青岛以萨数据技术有限公司 | Epidemic situation prevention and control system, method, terminal and medium based on big data |
| CN113593713A (en) * | 2020-12-30 | 2021-11-02 | 南方科技大学 | Epidemic situation prevention and control method, device, equipment and medium |
| CN114723205A (en) * | 2021-01-04 | 2022-07-08 | 中国移动通信有限公司研究院 | Infectious disease contacter identification method, device and terminal |
| CN113161006A (en) * | 2021-03-24 | 2021-07-23 | 南方科技大学 | Close contact person infection risk assessment method, close contact person infection risk assessment device, electronic equipment and storage medium |
| CN113035366A (en) * | 2021-03-24 | 2021-06-25 | 南方科技大学 | Close contact person identification method, close contact person identification device, electronic device and storage medium |
| CN113871023A (en) * | 2021-07-07 | 2021-12-31 | 厦门市美亚柏科信息股份有限公司 | Social behavior-based infectious disease tracking method, device, equipment and medium |
| CN114067560A (en) * | 2021-09-30 | 2022-02-18 | 交通运输部公路科学研究所 | Highway epidemic prevention and control non-inductive personnel detection and vehicle trajectory tracking system |
| CN115063068A (en) * | 2022-05-30 | 2022-09-16 | 深圳市赛格导航科技股份有限公司 | Epidemic prevention, control and early warning method and system for logistics personnel |
| CN115082277A (en) * | 2022-08-23 | 2022-09-20 | 交通运输部科学研究院 | Vehicle control area travel identification method and device, electronic equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116485301A (en) * | 2023-05-30 | 2023-07-25 | 佛山众陶联供应链服务有限公司 | Service authenticity judging method and system based on service information and logistics information |
| CN116485301B (en) * | 2023-05-30 | 2023-12-05 | 佛山众陶联供应链服务有限公司 | Service authenticity judging method and system based on service information and logistics information |
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Application publication date: 20221104 |