CN113888840A - Method and device for monitoring transportation behavior of network freight driver and electronic equipment - Google Patents
Method and device for monitoring transportation behavior of network freight driver and electronic equipment Download PDFInfo
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- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention discloses a method and a device for monitoring transportation behaviors of network freight drivers and electronic equipment. The method comprises the following steps: acquiring positioning data and speed data of a truck in the carrying process in real time; monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, and judging whether fatigue driving exists or not; and forming a transportation track according to the positioning data, and judging whether the transportation task really occurs. In the application, the carrier process positioning data is acquired through multiple channels, whether a driver has fatigue driving behaviors is judged by utilizing the active state in a continuous time sequence, message reminding is carried out if necessary, the platform supervision obligation is fulfilled, and the personnel and property loss of the driver caused by fatigue driving is reduced; the method has the advantages that the positioning data of the transportation process is acquired through multiple channels to form the transportation track, the authenticity of the waybill is judged by combining the qualified judgment logic of the waybill, the real occurrence of network shipper is guaranteed, and an important basis is provided for the follow-up settlement invoicing.
Description
Technical Field
The invention belongs to the technical field of computer software application, and particularly relates to a method and a device for monitoring transportation behaviors of network freight drivers and electronic equipment.
Background
The network freight platform is used as an on-line carrier and has the obligations of tracking the transportation process, ensuring the transportation authenticity, monitoring the compliance of the driver in the transportation process and carrying out early warning intervention, but the network platform cannot really carry out one-to-one manual monitoring. Therefore, how to judge the authenticity of the waybill carrier and the illegal transportation behavior of a driver and give early warning in time based on the online transportation data becomes a problem which needs to be solved urgently for the network freight platform to develop business.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method, an apparatus and an electronic device for monitoring transportation behavior of a network freight driver.
The technical scheme adopted by the invention is as follows: a method of monitoring transport behavior of an online freight driver, comprising the steps of:
acquiring positioning data and speed data of a truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver moving end and/or data uploaded by a vehicle-mounted navigation system;
monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
As an optional technical solution, the step of "judging whether there is fatigue driving" includes the following processes:
monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time, and forming a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
judging driving behaviors according to the condition of an active state in continuous time sequence points, if M continuous time sequence points are always in a second state, or K time sequence points in the M time sequence points are in a third state and other M-K time sequence points are in the second state, judging fatigue driving and sending out a reminding message, otherwise, judging normal driving, wherein (M-1) xT is more than 240min, and (K-1) xT is less than 20 min.
As an optional technical solution, if the positioning data and the speed are not acquired for more than T1 minutes, determining that the active state is a first state, where the first state is an equipment drop state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein the value range of V1 is V1 is less than or equal to 1.5Km/h, the value range of T is less than or equal to 3min, and the value range of T1 is 4min is less than or equal to T1 is less than or equal to 6 min.
As an optional technical solution, the step of "forming a transportation track according to the positioning data, comparing the transportation track with the freight note appointed pickup and discharge geofence, and if the transportation track passes through the freight note appointed pickup and discharge geofence, determining that the transportation task really occurs" includes the following processes:
and sequentially and linearly connecting points corresponding to all time sequence points in the transportation track, comparing the sum of the actual distances represented by all connecting lines with the total transportation distance, and judging that the transportation process is qualified and the transportation task is really happened if the obtained ratio is greater than a compliance threshold value.
The invention also discloses a device for monitoring the transport behavior of the network freight driver, which comprises the following components:
the data acquisition module is used for acquiring positioning data and speed data of the truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver moving end and/or data uploaded by a vehicle-mounted navigation system;
the monitoring module is used for monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and the comparison module is used for forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
As an optional technical solution, the monitoring module includes:
the active state monitoring unit is used for monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time to form a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
and the driving behavior judging unit is used for judging the driving behavior according to the active state condition in the continuous time sequence points, if the continuous M time sequence points are always in the second state, or K time sequence points in the M time sequence points are in the third state and other M-K time sequence points are in the second state, the fatigue driving is judged and a reminding message is sent, otherwise, the normal driving is judged, wherein (M-1) xT is more than 240min, and (K-1) xT is less than 20 min.
As an optional technical solution, the working process of the active state monitoring unit includes: if the positioning data and the speed are not acquired after T1 minutes, determining that the active state is a first state, wherein the first state is an equipment disconnection state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein the value range of V1 is V1 is less than or equal to 1.5Km/h, and the value range of T is less than or equal to 3 min.
As an optional technical solution, the working process of the comparison module includes:
and sequentially and linearly connecting points corresponding to all time sequence points in the transportation track, comparing the sum of the actual distances represented by all connecting lines with the total transportation distance, and judging that the transportation process is qualified and the transportation task is really happened if the obtained ratio is greater than a compliance threshold value.
The application also discloses an electronic device, including: one or more processors; one or more memories; the one or more memories store one or more computer programs, the one or more computer programs comprising instructions, which when executed by the one or more processors, cause the electronic device to perform the methods described above.
The present application also discloses a computer-readable medium comprising a computer program which, when run on a computer, causes the computer to perform the method as described above.
The invention has the beneficial effects that: in the application, the carrier process positioning data is acquired through multiple channels, whether a driver has fatigue driving behaviors is judged by utilizing the active state in a continuous time sequence, message reminding is carried out if necessary, the platform supervision obligation is fulfilled, and the personnel and property loss of the driver caused by fatigue driving is reduced; the method has the advantages that the positioning data of the transportation process is acquired through multiple channels to form the transportation track, the authenticity of the waybill is judged by combining the qualified judgment logic of the waybill, the real occurrence of network shipper is guaranteed, and an important basis is provided for the follow-up settlement invoicing.
Drawings
FIG. 1 is a schematic flow diagram of an example method.
FIG. 2 is a schematic block diagram of an embodiment apparatus.
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. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention is further described with reference to the following figures and specific embodiments.
Examples
As shown in fig. 1, the method for monitoring the transportation behavior of the network freight driver comprises the following steps:
acquiring positioning data and speed data of a truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver mobile terminal and/or data uploaded by a vehicle-mounted navigation system, and the mobile terminal or the vehicle-mounted navigation system can adopt a GPS navigation system and also can adopt a Beidou navigation system;
monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
As an alternative embodiment, the step of "judging whether there is fatigue driving" includes the following processes:
monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time, and forming a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
judging driving behaviors according to the condition of an active state in continuous time sequence points, if M continuous time sequence points are always in a second state, or K time sequence points in the M time sequence points are in a third state and other M-K time sequence points are in the second state, judging fatigue driving and sending out a reminding message, otherwise, judging normal driving, wherein (M1) xT is more than 240min, and (K-1) xT is less than 20 min.
As an optional implementation manner, if the positioning data and the speed are not acquired for more than T1 minutes, determining that the active state is a first state, where the first state is a device drop state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein, the value range of V1 is V1 is less than or equal to 1.5Km/h, the value range of T is less than or equal to 3min, the value range of T1 is less than or equal to 4min and less than or equal to T1 is less than or equal to 6min, as a preferred embodiment, V1 takes 1Km/h, T takes 2min, and T1 takes 5 min.
According to relevant regulations, if the driving motor vehicle can not continuously drive for more than 4 hours without stop or the stop and rest time is less than 20min, the driving is determined as fatigue driving; for a time point selected every T minutes in the embodiment, M continuous time sequence points are selected, the time length actually represented by the M points is (M-1) multiplied by T, if the time length of the period exceeds 4 hours and is always in the second state, namely the normal driving state, the driver can be judged to be in the fatigue driving state, or the time length of the period exceeds 4 hours, and a period of (K-1) multiplied by T is in the third state, namely the parking state, but the total parking time length K-1) multiplied by T is less than 20min, and the driver is also judged to be in the fatigue driving state.
As an alternative embodiment, the authenticity of the transport task is then determined by the following procedure:
1. and (4) judging the qualification of the loading area:
the driver needs to punch a card (user operation trigger decision) in the geo-fence of the loading area
Aiming at the condition that the driver forgets to operate, the system can carry out supplement judgment after the delivery is finished, judge that the transportation track passes through the geo-fence of the loading place, namely an automatic card punching point, and judge that the loading place is qualified (automatic supplement judgment and automatic card punching of the system)
2. And (4) qualified judgment of the unloading area:
the driver needs to punch a card in the geo-fence of the unloading area (user operation trigger decision)
Aiming at the condition that a driver forgets to operate, the system can carry out supplement judgment after the delivery is finished, judge that the transportation track passes through the discharging place geo-fence, namely an automatic card punching point, and judge that the discharging place is qualified (automatic supplement judgment, automatic card punching of the system)
3. And (4) qualified judgment in the transportation process:
after transportation is finished, points corresponding to all time sequence points are sequentially and linearly connected in the transportation track, the sum of actual distances represented by all connecting lines is compared with the total transportation distance, the obtained ratio is greater than a compliance threshold value, the transportation process is judged to be qualified, and the transportation task is really happened.
As shown in fig. 2, the present invention also discloses a device for monitoring the transportation behavior of network freight drivers, which comprises:
the data acquisition module is used for acquiring positioning data and speed data of the truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver moving end and/or data uploaded by a vehicle-mounted navigation system;
the monitoring module is used for monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and the comparison module is used for forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
As an optional implementation, the monitoring module includes:
the active state monitoring unit is used for monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time to form a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
and the driving behavior judging unit is used for judging the driving behavior according to the active state condition in the continuous time sequence points, if the continuous M time sequence points are always in the second state, or K time sequence points in the M time sequence points are in the third state and other M-K time sequence points are in the second state, the fatigue driving is judged and a reminding message is sent, otherwise, the normal driving is judged, wherein (M-1) xT is more than 240min, and (K-1) xT is less than 20 min.
As an optional implementation, the working process of the active state monitoring unit includes: if the positioning data and the speed are not acquired after T1 minutes, determining that the active state is a first state, wherein the first state is an equipment disconnection state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein the value range of V1 is V1 is less than or equal to 1.5Km/h, and the value range of T is less than or equal to 3 min.
As an optional implementation, the operation process of the comparison module includes: and sequentially and linearly connecting points corresponding to all time sequence points in the transportation track, comparing the sum of the actual distances represented by all connecting lines with the total transportation distance, and judging that the transportation process is qualified and the transportation task is really happened if the obtained ratio is greater than a compliance threshold value.
The invention also discloses an electronic device, comprising: one or more processors; one or more memories; the one or more memories store one or more computer programs comprising instructions that, when executed by the one or more processors, cause the electronic device to perform the methods as in the embodiments described above.
The invention also discloses a computer-readable medium comprising a computer program which, when run on a computer, causes the computer to perform the method as in the above embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working principle processes of the apparatus, the electronic device and the computer-readable medium described above may refer to the corresponding processes in the foregoing embodiments of the apparatus, and are not described herein again.
Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules (units).
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a readable medium or on a network, and includes several instructions to enable an electronic device (which may be a personal computer, a server, a mobile terminal, or a network device) to execute the method according to the embodiments of the present application.
The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope disclosed in the present application, and all the technical solutions falling within the scope of the present invention defined by the claims fall within the scope of the present invention.
Claims (10)
1. A method of monitoring transport behavior of an online freight driver, comprising the steps of:
acquiring positioning data and speed data of a truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver moving end and/or data uploaded by a vehicle-mounted navigation system;
monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
2. The method of monitoring network freight driver transport behavior according to claim 1, wherein the step of "determining whether fatigue driving exists" comprises the process of:
monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time, and forming a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
judging driving behaviors according to the condition of an active state in continuous time sequence points, if M continuous time sequence points are always in a second state, or K time sequence points in the M time sequence points are in a third state and other M-K time sequence points are in the second state, judging fatigue driving and sending out a reminding message, otherwise, judging normal driving, wherein (M-1) xT is more than 240min, and (K-1) xT is less than 20 min.
3. The method of monitoring network freight driver transport behavior according to claim 2, characterized in that:
if the positioning data and the speed are not acquired after T1 minutes, determining that the active state is a first state, wherein the first state is an equipment disconnection state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein the value range of V1 is V1 is less than or equal to 1.5Km/h, and the value range of T is less than or equal to 3 min.
4. The method of claim 2, wherein the step of forming a transportation trajectory based on the positioning data, comparing the transportation trajectory with an order contract pickup geofence, and determining that the transportation task is actually occurring if the transportation trajectory passes the order contract pickup geofence comprises the steps of:
and sequentially and linearly connecting points corresponding to all time sequence points in the transportation track, comparing the sum of the actual distances represented by all connecting lines with the total transportation distance, and judging that the transportation process is qualified and the transportation task is really happened if the obtained ratio is greater than a compliance threshold value.
5. Device of monitoring network freight driver transportation action, its characterized in that includes:
the data acquisition module is used for acquiring positioning data and speed data of the truck in the carrying process in real time; the positioning data and the speed data come from data reported by a driver moving end and/or data uploaded by a vehicle-mounted navigation system;
the monitoring module is used for monitoring the behavior of a driver in the carrying process through the positioning data and the speed data, judging whether fatigue driving exists or not, and if so, sending a reminding message;
and the comparison module is used for forming a transportation track according to the positioning data, comparing the transportation track with the freight order appointed lifting and discharging geo-fence, and judging that a transportation task really occurs if the transportation track passes through the freight order appointed lifting and discharging geo-fence.
6. The apparatus for monitoring transportation behavior of network freight drivers according to claim 5, wherein the monitoring module comprises:
the active state monitoring unit is used for monitoring the real-time active state of the driver in the carrying process at intervals of T minutes according to the positioning data and the speed acquired in real time to form a time sequence point capable of describing the active state of the driver; the active state comprises a first state, a second state, and a third state;
and the driving behavior judging unit is used for judging the driving behavior according to the active state condition in the continuous time sequence points, if the continuous M time sequence points are always in the second state, or K time sequence points in the M time sequence points are in the third state and other M-K time sequence points are in the second state, the fatigue driving is judged and a reminding message is sent, otherwise, the normal driving is judged, wherein (M-1) xT is more than 240min, and (K-1) xT is less than 20 min.
7. The apparatus for monitoring transportation behavior of network freight drivers according to claim 6, wherein the operation process of the active status monitoring unit includes:
if the positioning data and the speed are not acquired after T1 minutes, determining that the active state is a first state, wherein the first state is an equipment disconnection state;
if the speed V obtained at the latest 1 time sequence point is not less than V1, judging that the active state is a second state, wherein the second state is a normal driving state;
if the speed V acquired from the latest 1 time sequence point is less than V1, determining that the active state is a third state, wherein the third state is a parking state;
wherein the value range of V1 is V1 is less than or equal to 1.5Km/h, and the value range of T is less than or equal to 3 min.
8. The device for monitoring the transportation behavior of the network freight drivers as claimed in claim 6, wherein the operation process of the comparison module comprises:
and sequentially and linearly connecting points corresponding to all time sequence points in the transportation track, comparing the sum of the actual distances represented by all connecting lines with the total transportation distance, and judging that the transportation process is qualified and the transportation task is really happened if the obtained ratio is greater than a compliance threshold value.
9. An electronic device, comprising: one or more processors; one or more memories; the one or more memories store one or more computer programs, the one or more computer programs comprising instructions, which when executed by the one or more processors, cause the electronic device to perform the method of any of claims 1-4.
10. Computer-readable medium, characterized in that it comprises a computer program which, when run on a computer, causes the computer to perform the method according to any one of claims 1 to 4.
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| CN115512550A (en) * | 2022-09-22 | 2022-12-23 | 青海省公安交通警察总队高速公路支队 | Freight vehicle overtime driving inspection auxiliary system and method |
| CN115938080A (en) * | 2022-10-27 | 2023-04-07 | 安徽共生众服供应链技术研究院有限公司 | Method for early warning of abnormal operation of network freight transport |
| CN115938080B (en) * | 2022-10-27 | 2024-06-14 | 安徽共生众服供应链技术研究院有限公司 | Method for early warning abnormal operation of network freight |
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Application publication date: 20220104 |