CN113442933A - Fatigue driving monitoring method, system, network device and storage medium - Google Patents
Fatigue driving monitoring method, system, network device and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
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Abstract
The invention provides a fatigue driving monitoring method, a system, network equipment and a storage medium, and belongs to the technical field of vehicle safety monitoring. The fatigue driving monitoring method comprises the steps of receiving driving data of a target vehicle uploaded by a target vehicle terminal; according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, and monitoring the fatigue driving of the target vehicle, wherein the threshold value comprises at least one of the following items: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average; when the target vehicle enters a fatigue driving state, sending early warning to the target vehicle; therefore, fatigue driving monitoring of the target vehicle is achieved without a professional terminal, and errors of the fatigue driving monitoring are reduced.
Description
Technical Field
The invention relates to the technical field of vehicle safety monitoring, in particular to a fatigue driving monitoring method, a fatigue driving monitoring system, network equipment and a storage medium.
Background
Based on the supervision demand of the current road transport vehicle supervision related department to driver fatigue driving vehicle, to the fatigue driving monitoring of current vehicle, generally need install professional terminal equipment on the vehicle to carry out the setting of fatigue driving monitoring threshold value according to the technical specification requirement of the department of communication to vehicle terminal, change the fatigue degree of image analysis driver through professional terminal to driver's facial expression, thereby trigger the early warning.
Due to the fact that professional terminal equipment is needed and the fatigue threshold setting rule is single, the existing fatigue driving monitoring cannot meet other requirement standards, the historical data analysis capability is lacked, and the habit of a driver cannot be intelligently analyzed and evolved. Further, there is a large error in whether the vehicle is continuously driven or not and whether the driver has a rest according to a predetermined rule or not.
Disclosure of Invention
The invention provides a method, a system, network equipment and a storage medium for monitoring fatigue driving, which are used for solving the problems in the prior art and reducing the error of monitoring the fatigue driving.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a fatigue driving monitoring method, where the method includes:
receiving the driving data of the target vehicle uploaded by the target vehicle terminal;
according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, and monitoring the fatigue driving of the target vehicle, wherein the threshold value comprises at least one of the following items: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
and determining that the target vehicle enters a fatigue driving state, and sending early warning to the target vehicle.
Optionally, the method further includes:
and configuring early warning rules according to at least one of the information of the target vehicle, the information of the driver, the running time of the vehicle and the starting position of the vehicle.
Optionally, the configuring the early warning rule includes;
and configuring a daily driving time average value according to the running data of the target vehicle uploaded by the target vehicle in a data statistics period, wherein if the target daily driving time is lower than a preset proportion of the daily driving time average value, the target daily is not counted in the data statistics period.
Optionally, the monitoring fatigue driving of the target vehicle includes at least one of:
judging whether the accumulated driving time length of the day is greater than the average value of the driving time lengths of the days;
judging whether the daily accumulated rest duration is larger than the daily accumulated rest duration threshold value or not;
judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold value or not;
judging whether the continuous driving time of the latest data uploading time point is greater than a continuous driving time threshold value in the early warning rule or not;
and judging whether the single rest duration of the latest data uploading time point is less than a single rest duration threshold value in the early warning rule.
Optionally, the calculating the cumulative driving duration and/or the cumulative rest duration of the day by using the period from the latest data uploading time point to 24 hours before the latest data uploading time point includes:
reading the starting point of the current journey, the previous data uploading point of the starting point of the current journey and the running state of the current target vehicle from the cache;
and if any one of the starting point of the current journey, the previous data uploading point of the starting point of the current journey and/or the running state of the current target vehicle is null data, resetting the accumulated driving time length of the current journey and the rest time length of the target vehicle to be 0.
Optionally, the resetting the accumulated driving time and the rest time of the current trip of the target vehicle to 0 includes:
and receiving the vehicle speed in the data uploaded by the target vehicle terminal at the latest data uploading time point, and if the vehicle speed is greater than the minimum vehicle speed, taking the latest data uploading time point as a starting point of the current driving.
Optionally, the monitoring fatigue driving of the target vehicle includes:
judging whether the target vehicle is in daytime driving or night driving according to the target vehicle data uploading time point;
if the target vehicle is in night driving, adopting a night driving fatigue early warning rule;
if the target vehicle is in daytime driving, adopting a daytime driving fatigue early warning rule;
and the daily accumulated driving time threshold in the early warning rules is more than or equal to the sum of the daily driving fatigue early warning rules and the daily accumulated driving time threshold in the night driving fatigue early warning rules.
Optionally, if the latest data uploading time point meets the night entering or night exiting condition and meets the rest duration threshold, refreshing the cumulative driving duration of the day and the cumulative rest duration of the day, so that the cumulative driving duration of the day and the cumulative rest duration of the day are both 0;
if the rest duration threshold value is not met, after the rest duration is met, the system refreshes the current-day accumulated driving duration and the current-day accumulated rest duration, so that the current-day accumulated driving duration and the current-day accumulated rest duration are both 0.
Optionally, the method further includes:
if the target vehicle is in an early warning state and the vehicle speed of the target vehicle at the current time point is less than or equal to the minimum vehicle speed, the target vehicle is in a rest state:
and when the rest time of the rest state meets the requirement of the early warning rule, relieving fatigue early warning.
In a second aspect, an embodiment of the present invention provides a fatigue driving monitoring system, where the system includes:
the receiving module is used for receiving the running data of the target vehicle uploaded by the target vehicle terminal;
the monitoring module is used for calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point according to the running data of the target vehicle and a threshold value in an early warning rule, and monitoring the fatigue driving of the target vehicle, wherein the threshold value comprises at least one of the following items: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
and the early warning module is used for determining that the target vehicle enters a fatigue driving state and sending early warning to the target vehicle.
In a third aspect, an embodiment of the present invention provides a network device, including a transceiver and a processor;
the transceiver is used for receiving the running data of the target vehicle uploaded by the target vehicle terminal;
the processor is configured to calculate, according to the driving data of the target vehicle and a threshold in an early warning rule, a current day accumulated driving duration and/or a current day accumulated rest duration in a period from a latest data uploading time point to 24 hours before the latest data uploading time point, and monitor fatigue driving of the target vehicle, where the threshold includes at least one of: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
the transceiver is further used for determining that the target vehicle enters a fatigue driving state and sending an early warning to the target vehicle.
In a fourth aspect, an embodiment of the present invention provides a network device, including: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the fatigue driving monitoring method of the first aspect.
In a fifth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the fatigue driving monitoring method according to the first aspect.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the fatigue driving monitoring method provided by the invention receives the driving data of the target vehicle uploaded by the target vehicle terminal; according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, and monitoring the fatigue driving of the target vehicle, wherein the threshold value comprises at least one of the following items: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average; when the target vehicle enters a fatigue driving state, sending early warning to the target vehicle; therefore, the fatigue driving monitoring can be carried out on the target vehicle without a professional terminal, and the error of the fatigue driving monitoring is reduced.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of a method for monitoring fatigue driving according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a fatigue driving warning according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a fatigue driving monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a network device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a network device according to an embodiment of the present invention.
Detailed Description
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, not all, embodiments of the present 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.
Specifically, the fatigue driving monitoring method provided by the embodiment of the invention can be applied to a fatigue driving monitoring platform, a monitoring system, monitoring equipment and the like, so as to realize monitoring on a target vehicle.
Referring to fig. 1, fig. 1 shows a flowchart of a method for monitoring fatigue driving according to an embodiment of the present invention, where the method includes:
and step 101, receiving the running data of the target vehicle uploaded by the target vehicle terminal.
Specifically, through step 101, the monitoring platform may receive driving data of the target vehicle uploaded by the target vehicle terminal, where the driving data includes: the speed, driving state, etc. of the target vehicle.
102, according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, and monitoring fatigue driving of the target vehicle, wherein the threshold value comprises at least one of the following items: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period.
Specifically, the only day here is every natural day, such as 20/3/2021, 18/6/2022 on the calendar; the present day referred to in the embodiments of the present application is not necessarily a natural day, and refers to a day that is 24 hours from the latest data upload time point to the latest data upload time point, and refers to a day that is 24 hours between "20 days 3 and 20 days 15 and 30 minutes and 20 seconds 2021 and 20 days 15 and 30 minutes and 20 seconds 20 and 20 seconds 15 and 3 months 19 and 3 months 2021, respectively, if 20 days 3 and 15 minutes and 20 seconds are the latest data upload time point.
Specifically, the terminal of the target vehicle uploads the running data of the target vehicle to the monitoring platform at intervals in an open state, the data uploading periods of different terminals are different, and the latest data uploading time point is continuously updated along with the running of the vehicle.
And 103, determining that the target vehicle enters a fatigue driving state, and sending early warning to the target vehicle.
For example, after it is determined that the target vehicle enters the fatigue driving state, the fatigue driving monitoring system/platform and the like may send an early warning to the target vehicle by sending a voice prompt, a warning light and the like, so that the driver can know that the target vehicle currently enters the fatigue driving state.
Step 101-; according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, monitoring the fatigue driving of the target vehicle, and sending an early warning to the target vehicle when the target vehicle enters a fatigue driving state; therefore, fatigue driving monitoring can be carried out on the target vehicle without a professional terminal, and errors of fatigue driving monitoring are reduced by comparing the accumulated rest time of the day with the threshold value in the early warning rule.
Optionally, the method further includes:
and configuring early warning rules according to at least one of the information of the target vehicle, the information of the driver, the running time of the vehicle and the starting position of the vehicle.
Specifically, different target vehicles are configured with different early warning rules, so that the monitoring platform can configure more appropriate early warning rules for target vehicles with different purposes and/or different operation times, and the accuracy of fatigue driving monitoring is improved.
Illustratively, the information of the target vehicle such as the vehicle type, the vehicle usage, the vehicle location, etc., the information of the driver such as the position, the working time, the main responsibility, etc., the vehicle running time, and the vehicle starting location such as the material warehouse, the product warehouse, etc. of the company; the early warning information obtained through the information configuration is more suitable for the trip route of the target vehicle, and the specific same target vehicle may bear different transportation tasks, for example, a driver A is responsible for driving in the daytime and a driver B is responsible for driving at night, so different fatigue driving rules should be configured according to different drivers.
Optionally, the configuring the early warning rule includes;
and configuring a daily driving time average value according to the running data of the target vehicle uploaded by the target vehicle in a data statistics period, wherein if the target daily driving time is lower than a preset proportion of the daily driving time average value, the target daily is not counted in the data statistics period.
For example, the average value of the driving time per day in the statistical time period (average value of the driving time per day = cumulative driving time divided by driving days in the period) may be calculated according to the warning rule configured for the target vehicle, wherein the statistical period is determined according to the warning rule of the target vehicle, such as 7 days, 30 days, 60 days, and the like.
Specifically, if the target daily driving time is lower than the preset proportion of the average value of the daily driving time, if the driving time of the target day is less than 50% of the average value of the daily driving time, the target day is abnormal data, the data statistics period is not counted, and the influence of excessively low abnormal driving time data on the generation of the average value of the daily driving time is effectively avoided.
Optionally, the monitoring fatigue driving of the target vehicle includes at least one of:
judging whether the accumulated driving time length of the day is greater than the average value of the driving time lengths of the days;
judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold value or not;
judging whether the continuous driving time of the latest data uploading time point is greater than the continuous driving time threshold value in the early warning rule or not;
and judging whether the single rest duration of the latest data uploading time point is less than the single rest duration threshold value in the early warning rule.
By monitoring the accumulated driving time, the accumulated rest time, the continuous driving time and/or the single rest time on the same day, the driving fatigue of the target vehicle driver can be effectively monitored, so that the fatigue driving state can be found in time, and the fatigue driving early warning can be given in time.
For example, when judging whether the daily accumulated driving time is greater than the daily driving time average, comparing the daily driving time average with the daily accumulated driving time, and triggering early warning when the daily accumulated driving time exceeds the daily driving time average.
For example, when it is determined whether the continuous driving time at the latest data uploading time point is greater than the continuous driving time threshold in the early warning rule, if the continuous driving time at the latest data uploading time point is greater than the continuous driving time threshold in the early warning rule, it indicates that the continuous driving time of the current target vehicle has exceeded the continuous driving time threshold, and the target vehicle is in a fatigue driving state, and triggers early warning.
Illustratively, when judging whether the single rest duration of the latest data uploading time point is smaller than the single rest duration threshold value in the early warning rule, at this time, when the target vehicle is in a rest state, if the rest duration is smaller than the single rest duration threshold value in the early warning rule, the target vehicle continues to run, and if the rest duration is insufficient, the early warning is triggered.
Illustratively, when judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold, if the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold, the rest duration is insufficient, and early warning is triggered.
Optionally, the calculating the cumulative driving duration and/or the cumulative rest duration of the day by using the period from the latest data uploading time point to 24 hours before the latest data uploading time point includes:
reading the starting point of the current journey, the previous data uploading point of the starting point of the current journey and the running state of the current target vehicle from the cache;
and if any one of the starting point of the current journey, the previous data uploading point of the starting point of the current journey and/or the running state of the current target vehicle is null data, resetting the accumulated driving time length and the rest time length of the current journey of the target vehicle to be 0.
Specifically, the driving state of the current target vehicle can be confirmed by reading the cache data, and if any one of the starting point of the current trip, the previous data uploading point of the starting point of the current trip, and/or the data of the driving state of the current target vehicle in the cache data is null data, it indicates that the target vehicle may be in a stopped state or a started state, so that the accumulated driving time and the rest time of the current trip of the target vehicle are reset to 0 at this time.
Optionally, the resetting the accumulated driving time and the rest time of the current trip of the target vehicle to 0 includes:
and receiving the vehicle speed in the data uploaded by the target vehicle terminal at the latest data uploading time point, and if the vehicle speed is greater than the minimum vehicle speed, taking the latest data uploading time point as a starting point of the current driving.
Specifically, when any one of the starting point of the current trip, the previous data uploading point of the starting point of the current trip and/or the data of the running state of the current target vehicle in the cache data is null data, after the accumulated driving time and the rest time of the current trip are reset to 0, the data of the latest data uploading time point are analyzed, if the vehicle speed of the target vehicle is greater than the minimum vehicle speed at the moment, the target vehicle is in the starting state at the moment, and the latest data uploading time point is used as the starting point of the current driving.
The starting point of the current driving can be confirmed through the change of the vehicle speed through the steps, so that the specific situation of the current driving can be monitored.
Optionally, the monitoring fatigue driving of the target vehicle includes:
judging whether the target vehicle is in daytime driving or night driving according to the target vehicle data uploading time point;
if the target vehicle is in night driving, adopting a night driving fatigue early warning rule;
if the target vehicle is in daytime driving, adopting a daytime driving fatigue early warning rule;
and the daily accumulated driving time threshold in the early warning rules is more than or equal to the sum of the daily driving fatigue early warning rules and the daily accumulated driving time threshold in the night driving fatigue early warning rules.
Through the steps, the driving in the daytime and at night can be realized, the difference between the driving in the daytime and the driving in the night is fully considered, and different early warning rules are configured, so that the driving in the daytime and the driving in the night are met.
Illustratively, the night fatigue driving early warning rule is determined according to the related early warning rule of the traffic department and the information of the target vehicle, if the vehicle needs to be stopped for at least 15 minutes every time the vehicle is continuously driven for more than 2 hours, the single continuous driving time threshold of the night fatigue driving early warning rule is set to be 2 hours, and the single rest time threshold is set to be 15 minutes.
Optionally, if the latest data uploading time point meets the night entering or night exiting condition and meets the rest duration threshold, refreshing the cumulative driving duration of the day and the cumulative rest duration of the day, so that the cumulative driving duration of the day and the cumulative rest duration of the day are both 0;
if the rest duration threshold value is not met, after the rest duration is met, the system refreshes the current-day accumulated driving duration and the current-day accumulated rest duration, so that the current-day accumulated driving duration and the current-day accumulated rest duration are both 0. For example, the time of the last data uploading point of the target vehicle is outside the night-time specified time, but the time of the current data uploading point is within the night-time specified time, that is, the target vehicle enters the night. On the contrary, the time of the last data uploading point of the target vehicle is within the night set time, but the time of the current data uploading point is out of the night set time, namely, the night is out.
Specifically, the current day accumulated time length of the data uploading time point is refreshed, and the current day accumulated time length from the uploading time point to the previous 24 hours is not mentioned in the foregoing.
Can make when business turn over night through the refresh, can refresh when the accumulative rest of day, be convenient for more accurate monitoring the tired driving condition of target vehicle.
Optionally, the method further includes:
if the target vehicle is in an early warning state and the vehicle speed of the target vehicle at the current time point is less than or equal to the minimum vehicle speed, the target vehicle is in a rest state:
and when the rest time of the rest state meets the requirement of the early warning rule, relieving fatigue early warning.
Specifically, through the steps, when the target vehicle is in a rest state and the rest time of the rest state meets the requirement of the early warning rule, fatigue early warning is relieved for the target vehicle.
For example, when the target vehicle is in an early warning state, such as when the time threshold of a single rest is 15 minutes, the monitoring platform can relieve fatigue early warning for the vehicle only when the rest time is greater than 15 minutes; if the vehicle is in a stop state for more than the preset time, the monitoring platform also relieves fatigue early warning on the vehicle; and if the target vehicle is in the early warning state and does not reach the requirement of the rest duration, the fatigue early warning is not released, and the monitoring platform carries out continuous fatigue early warning on the vehicle.
In summary, the fatigue driving prediction method provided by the embodiment of the invention can receive data uploaded by the target vehicle terminal, obtain the driving state of the target vehicle, and realize the fatigue driving warning function through the common terminal; different early warning rules can be configured according to different target vehicles, and day and night fatigue driving reminding modes are distinguished, so that the early warning of fatigue driving during driving at night is more accurate; and the target vehicle driver can be reminded of paying attention to the abnormal overtime problem in advance through the past driving rule data, and the monitoring scene requirements of various clients for fatigue driving are met.
Referring to fig. 2, a schematic diagram of an early warning process in the fatigue driving monitoring method provided by the present invention is shown, and a specific embodiment of the present invention is further described with reference to fig. 2:
the target vehicle configures early warning rules according to the transmitted vehicle information and the driving data, the fatigue driving monitoring system updates the vehicle state according to the data uploaded at the data uploading time point and carries out fatigue driving monitoring, and when the vehicle is in the fatigue driving state, early warning is triggered and each early warning is recorded; if the vehicle continues to run continuously without rest, the early warning is continuously carried out; if the vehicle stops running, the early warning is removed; if the vehicle has a rest, the time length to be rested accords with the threshold value in the relevant rule, the early warning is removed, and if the time length to be rested is less than the threshold value in the rule, the early warning is continued; and after the early warning is released, ending the early warning processing of the fatigue driving.
Specifically, if the target vehicle does not rest in the fatigue driving state, the fatigue driving monitoring system can continuously perform early warning until the requirement for finishing the early warning is met, and records the early warning every time, so that better monitoring on the fatigue driving of the target vehicle is facilitated.
Referring to fig. 3, an embodiment of the invention provides a fatigue driving monitoring system 30, which includes:
the receiving module 31 is used for receiving the running data of the target vehicle uploaded by the target vehicle terminal;
the monitoring module 32 is configured to calculate, according to the driving data of the target vehicle and a threshold in an early warning rule, a current day accumulated driving duration and/or a current day accumulated rest duration in a period from a latest data uploading time point to 24 hours before the latest data uploading time point, and monitor fatigue driving of the target vehicle, where the threshold includes at least one of: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
and the early warning module 33 is configured to determine that the target vehicle enters a fatigue driving state, and send an early warning to the target vehicle.
It is to be noted that, the receiving module and the sending module may be integrated into a same transceiving module, for example, the network transceiving module 31 in the structural schematic diagram of the fatigue driving monitoring system shown in fig. 3, and the fatigue driving monitoring system provided by the present invention is further described with reference to fig. 3, where the fatigue driving monitoring system provided by the present invention includes:
optionally, the monitoring module 33 is further configured to configure an early warning rule according to at least one of information of the target vehicle, driver information, vehicle driving time, and a vehicle starting position.
Optionally, the monitoring module 33 is further configured to configure a daily driving time average value according to the driving data of the target vehicle uploaded by the target vehicle within a data statistics period, wherein if the target daily driving time is lower than a preset proportion of the daily driving time average value, the target daily is not counted in the data statistics period.
Optionally, the monitoring fatigue driving of the target vehicle includes at least one of:
judging whether the accumulated driving time length of the day is greater than the average value of the driving time lengths of the days;
judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold value or not;
judging whether the continuous driving time of the latest data uploading time point is greater than the continuous driving time threshold value in the early warning rule or not;
and judging whether the single rest duration of the latest data uploading time point is less than the single rest duration threshold value in the early warning rule.
Optionally, the monitoring module 33 is further configured to:
reading the starting point of the current journey, the previous data uploading point of the starting point of the current journey and the running state of the current target vehicle from the cache;
and if any one of the starting point of the current journey, the previous data uploading point of the starting point of the current journey and/or the running state of the current target vehicle is null data, resetting the accumulated driving time length and the rest time length of the current journey of the target vehicle to be 0.
Optionally, the monitoring module 33 is further configured to, after the cumulative driving time and the rest time of the current trip of the target vehicle are reset to 0:
and receiving the vehicle speed in the data uploaded by the target vehicle terminal at the latest data uploading time point, and if the vehicle speed is greater than the minimum vehicle speed, taking the latest data uploading time point as a starting point of the current driving.
Optionally, the monitoring module 33 is further configured to:
judging whether the target vehicle is in daytime driving or night driving according to the target vehicle data uploading time point;
if the target vehicle is in night driving, adopting a night driving fatigue early warning rule;
if the target vehicle is in daytime driving, adopting a daytime driving fatigue early warning rule;
and the daily accumulated driving time threshold in the early warning rules is more than or equal to the daily driving fatigue early warning rules and the nighttime driving fatigue early warning rules.
Optionally, if the latest data uploading time point meets the night entering or night exiting condition and meets the rest duration threshold, refreshing the cumulative driving duration of the day and the cumulative rest duration of the day, so that the cumulative driving duration of the day and the cumulative rest duration of the day are both 0;
if the rest duration threshold value is not met, after the rest duration is met, the system refreshes the current-day accumulated driving duration and the current-day accumulated rest duration, so that the current-day accumulated driving duration and the current-day accumulated rest duration are both 0.
Optionally, the early warning module 33 is further configured to:
if the target vehicle is in an early warning state and the vehicle speed of the target vehicle at the current time point is less than or equal to the minimum vehicle speed, the target vehicle is in a rest state:
and when the rest time of the rest state meets the requirement of the early warning rule, relieving fatigue early warning.
All technical effects of the fatigue driving monitoring method provided by the embodiment of the invention can be realized through each module of the fatigue driving monitoring system, and are not described again here.
Referring to fig. 4, an embodiment of the present invention further provides a network device 40, which includes a transceiver 41 and a processor 42;
a transceiver 41 for receiving the traveling data of the target vehicle uploaded by the target vehicle terminal;
the processor 42 is configured to calculate, according to the driving data of the target vehicle and a threshold in an early warning rule, a current day accumulated driving duration and/or a current day accumulated rest duration in a period from a latest data uploading time point to 24 hours before the latest data uploading time point, and monitor fatigue driving of the target vehicle, where the threshold includes at least one of: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
the transceiver 41 is further configured to determine that the target vehicle enters a fatigue driving state, and send an early warning to the target vehicle.
Optionally, the processor 42 is further configured to configure the warning rule according to the information of the target vehicle.
Optionally, the processor 42 is further configured to configure a daily driving time average value according to the driving data of the target vehicle uploaded by the target vehicle within the data statistics period, wherein if the target daily driving time is lower than a preset proportion of the daily driving time average value, the target daily is not counted in the data statistics period.
Optionally, the processor 42 is also used for
Monitoring fatigue driving of the target vehicle includes at least one of:
judging whether the accumulated driving time length of the day is greater than the average value of the driving time lengths of the days;
judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold value or not;
judging whether the continuous driving time of the latest data uploading time point is greater than the continuous driving time threshold value in the early warning rule or not;
and judging whether the single rest duration of the latest data uploading time point is less than the single rest duration threshold value in the early warning rule.
Optionally, the processor 42 is further configured to:
reading the starting point of the current journey, the previous data uploading point of the starting point of the current journey and the running state of the current target vehicle from the cache;
and if any one of the starting point of the current journey, the previous data uploading point of the starting point of the current journey and/or the running state of the current target vehicle is null data, resetting the accumulated driving time length and the rest time length of the current journey of the target vehicle to be 0.
Optionally, the processor 42 is further configured to, after the cumulative driving time length and the rest time length of the current trip of the target vehicle are reset to 0:
and receiving the vehicle speed in the data uploaded by the target vehicle terminal at the latest data uploading time point, and if the vehicle speed is greater than the minimum vehicle speed, taking the latest data uploading time point as a starting point of the current driving.
Optionally, the processor 42 is further configured to determine that the target vehicle is in daytime driving or nighttime driving according to the target vehicle data uploading time point;
if the target vehicle is in night driving, adopting a night driving fatigue early warning rule;
if the target vehicle is in daytime driving, adopting a daytime driving fatigue early warning rule;
and the daily accumulated driving time threshold in the early warning rule is more than or equal to the sum of the daily driving fatigue early warning rule and the daily accumulated driving time threshold in the night driving fatigue early warning rule.
Optionally, if the latest data uploading time point meets the night entering or night exiting condition and meets the rest duration threshold, refreshing the cumulative driving duration of the day and the cumulative rest duration of the day, so that the cumulative driving duration of the day and the cumulative rest duration of the day are both 0;
if the rest duration threshold value is not met, after the rest duration is met, the system refreshes the current-day accumulated driving duration and the current-day accumulated rest duration, so that the current-day accumulated driving duration and the current-day accumulated rest duration are both 0.
Optionally, the transceiver 41 is further configured to, if the target vehicle is in an early warning state and the vehicle speed of the target vehicle at the current time point is less than or equal to the minimum vehicle speed, enable the target vehicle to be in a rest state:
and when the rest time of the rest state meets the requirement of the early warning rule, relieving fatigue early warning.
All technical effects of the fatigue driving monitoring method provided by the embodiment of the invention can be achieved through the modules of the network equipment, and are not described herein again.
Referring to fig. 5, an embodiment of the present invention further provides a network device 50, which includes a processor 51, a memory 52, and a computer program stored in the memory 52 and capable of running on the processor 51, where the computer program is executed by the processor 51 to implement each process of the above-mentioned fatigue driving monitoring method embodiment, and can achieve the same technical effect, and no repeated description is provided here to avoid repetition.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned fatigue driving monitoring method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (13)
1. A method of monitoring fatigue driving, the method comprising:
receiving the driving data of the target vehicle uploaded by the target vehicle terminal;
according to the running data of the target vehicle and a threshold value in an early warning rule, calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period, and monitoring the fatigue driving of the target vehicle; the threshold value comprises at least one of: a continuous driving time threshold, a single rest time threshold, a daily accumulated driving time threshold and a daily driving time average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
and determining that the target vehicle enters a fatigue driving state, and sending early warning to the target vehicle.
2. The fatigue driving monitoring method according to claim 1, further comprising:
and configuring early warning rules according to at least one of the information of the target vehicle, the driver information, the running time of the vehicle and the starting position of the vehicle.
3. The fatigue driving monitoring method of claim 2, wherein the configuring of the early warning rules comprises;
and configuring a daily driving time average value according to the running data of the target vehicle uploaded by the target vehicle in a data statistics period, wherein if the target daily driving time is lower than a preset proportion of the daily driving time average value, the target daily is not counted in the data statistics period.
4. The fatigue driving monitoring method of claim 1, wherein the fatigue driving monitoring of the target vehicle comprises at least one of:
judging whether the accumulated driving time length of the day is greater than the average value of the driving time lengths of the days;
judging whether the daily accumulated rest duration is smaller than the daily accumulated rest duration threshold value or not;
judging whether the continuous driving time of the latest data uploading time point is greater than a continuous driving time threshold value in the early warning rule or not;
and judging whether the single rest duration of the latest data uploading time point is less than a single rest duration threshold value in the early warning rule.
5. The fatigue driving monitoring method according to claim 1, wherein the calculating of the daily cumulative driving duration and/or the daily cumulative rest duration with a period from the latest data uploading time point to 24 hours before the latest data uploading time point comprises:
reading the starting point of the current journey, the previous data uploading point of the starting point of the current journey and the running state of the current target vehicle from the cache;
and if any one of the starting point of the current journey, the previous data uploading point of the starting point of the current journey and/or the running state of the current target vehicle is null data, resetting the accumulated driving time length of the current journey and the rest time length of the target vehicle to be 0.
6. The fatigue driving monitoring method according to claim 5, wherein the resetting of the present trip accumulated driving time and the present rest time of the target vehicle to 0 includes:
and receiving the vehicle speed in the data uploaded by the target vehicle terminal at the latest data uploading time point, and if the vehicle speed is greater than the minimum vehicle speed, taking the latest data uploading time point as a starting point of the current driving.
7. The fatigue driving monitoring method according to claim 1, wherein the performing fatigue driving monitoring on the target vehicle includes:
judging whether the target vehicle is in daytime driving or night driving according to the target vehicle data uploading time point;
if the target vehicle is in night driving, adopting a night driving fatigue early warning rule;
if the target vehicle is in daytime driving, adopting a daytime driving fatigue early warning rule;
and the daily accumulated driving time threshold in the early warning rules is more than or equal to the sum of the daily driving fatigue early warning rules and the daily accumulated driving time threshold in the night driving fatigue early warning rules.
8. The fatigue driving monitoring method according to claim 1, wherein if the latest data uploading time point satisfies the night-in or night-out condition and satisfies the rest duration threshold, the cumulative driving duration of the current day and the cumulative rest duration of the current day are refreshed, so that the cumulative driving duration of the current day and the cumulative rest duration of the current day are both 0;
if the rest duration threshold value is not met, after the rest duration is met, the system refreshes the current-day accumulated driving duration and the current-day accumulated rest duration, so that the current-day accumulated driving duration and the current-day accumulated rest duration are both 0.
9. The fatigue driving monitoring method according to claim 1, further comprising:
if the target vehicle is in an early warning state and the vehicle speed of the target vehicle at the current time point is less than or equal to the minimum vehicle speed, the target vehicle is in a rest state:
and when the rest time of the rest state meets the requirement of the early warning rule, relieving fatigue early warning.
10. A fatigue driving monitoring system, the system comprising:
the receiving module is used for receiving the running data of the target vehicle uploaded by the target vehicle terminal;
the monitoring module is used for calculating the current day accumulated driving time and/or the current day accumulated rest time by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period according to the running data of the target vehicle and a threshold value in an early warning rule, and carrying out fatigue driving monitoring on the target vehicle; the threshold value comprises at least one of: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
and the early warning module is used for determining that the target vehicle enters a fatigue driving state and sending early warning to the target vehicle.
11. A network device comprising a transceiver and a processor;
the transceiver is used for receiving the running data of the target vehicle uploaded by the target vehicle terminal;
the processor is configured to calculate, according to the driving data of the target vehicle and a threshold in an early warning rule, a current day accumulated driving duration and/or a current day accumulated rest duration in a period from a latest data uploading time point to 24 hours before the latest data uploading time point, and monitor fatigue driving of the target vehicle, where the threshold includes at least one of: a continuous driving duration threshold, a single rest duration threshold, a daily cumulative driving duration threshold, and/or a daily driving duration average;
wherein, the day is a natural day, and the day is calculated by taking the period from the latest data uploading time point to 24 hours before the latest data uploading time point as a period;
the transceiver is further used for determining that the target vehicle enters a fatigue driving state and sending an early warning to the target vehicle.
12. A network device, comprising: processor, memory and program stored on and executable on the memory, which when executed by the processor implements the steps of the fatigue driving monitoring method according to any of claims 1 to 9.
13. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the fatigue driving monitoring method according to any one of claims 1 to 9.
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