CN110672192A - Road surface load monitoring method, device, system, electronic equipment and storage medium - Google Patents
Road surface load monitoring method, device, system, electronic equipment and storage medium Download PDFInfo
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- CN110672192A CN110672192A CN201910957861.1A CN201910957861A CN110672192A CN 110672192 A CN110672192 A CN 110672192A CN 201910957861 A CN201910957861 A CN 201910957861A CN 110672192 A CN110672192 A CN 110672192A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
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Abstract
The invention provides a road surface load monitoring method, a road surface load monitoring device, a road surface load monitoring system, electronic equipment and a storage medium. The road load monitoring method comprises the steps of receiving vehicle data sent by an internet of vehicles module of a vehicle, wherein the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters; executing the overweight identification of the load of the bicycle according to the received vehicle data and the map data, and generating first indication information according to the overweight identification result of the load of the bicycle; according to the received multiple pieces of vehicle data and the received map data, performing area load overweight identification, and generating second indication information according to the area load overweight identification result; and planning a safe path for each vehicle according to the first indication information and/or the second indication information. The invention can realize flexible and multi-aspect vehicle overweight detection.
Description
Technical Field
The invention relates to road load monitoring, in particular to a road load monitoring method, a road load monitoring device, a road load monitoring system, electronic equipment and a storage medium.
Background
The vehicles are seriously damaged when being overweight and getting on the road, so that the highway and bridge facilities can be seriously damaged, the maintenance cost of the highway and the bridge is increased, and the service lives of the highway and the bridge are shortened; but also can cause the phenomena of vehicle braking performance reduction, steering performance imbalance, tire burst and the like, and cause or aggravate road traffic accident loss.
In particular, if the overweight vehicle runs on a bridge/elevated road, the bearing capacity of the road and bridge is exceeded or the structural balance of the road and bridge is affected, resulting in an accident. Most of the existing bridge safety monitoring systems are provided with various sensors on a bridge, and detected bridge data are transmitted back to a cloud platform for monitoring.
However, such a method requires sensors to be installed on roads, bridges and/or overhead, and has high hardware cost and no flexibility, so that only overweight detection can be performed on the roads, bridges and/or overhead on which the sensors are installed.
Therefore, how to realize flexible and multi-aspect vehicle overweight detection is an urgent problem to be solved in the field.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a road load monitoring method, a road load monitoring device, a road load monitoring system, electronic equipment and a storage medium, and can realize flexible and multi-aspect vehicle overweight detection.
According to an aspect of the present invention, there is provided a road surface load monitoring method including:
receiving vehicle data sent by an internet of vehicles module of a vehicle, wherein the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters;
executing the overweight identification of the load of the bicycle according to the received vehicle data and the map data, and generating first indication information according to the overweight identification result of the load of the bicycle;
according to the received multiple pieces of vehicle data and the received map data, performing area load overweight identification, and generating second indication information according to the area load overweight identification result; and
and planning a safety path for each vehicle according to the first indication information and/or the second indication information.
In some embodiments of the present invention, the performing the bicycle load overweight identification according to the received vehicle data and the map data, and the generating the first indication information according to the bicycle load overweight identification result includes:
determining an overweight weight of the vehicle based on the vehicle data;
judging whether the current load of the vehicle exceeds the overweight weight of the vehicle or not;
and if so, generating first sub-indication information of the first indication information, wherein the first sub-indication information is used for indicating that overweight warning information is sent to the vehicle.
In some embodiments of the present invention, the performing the bicycle load overweight identification according to the received vehicle data and the map data, and the generating the first indication information according to the bicycle load overweight identification result includes:
determining the road section where the vehicle is located according to the vehicle data;
determining the overweight weight of the vehicle per vehicle on the road section where the vehicle is located according to the map data;
judging whether the current load of the vehicle exceeds the overweight weight of the vehicle on the road section where the vehicle is located;
and if so, generating second sub-indication information of the first indication information, wherein the second sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction.
In some embodiments of the present invention, the performing the bicycle load overweight identification according to the received vehicle data and the map data, and the generating the first indication information according to the bicycle load overweight identification result includes:
determining the road section where the vehicle is located according to the vehicle data;
determining the weight of the overweight of the vehicle on a plurality of road sections in the advancing direction of the vehicle according to the map data;
judging whether the current load of the vehicle exceeds the single overweight weight of a plurality of road sections in the vehicle traveling direction;
and if so, generating third sub-indication information of the first indication information, wherein the third sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction.
In some embodiments of the present invention, the performing area load overweight identification according to the received plurality of vehicle data and map data, and the generating second indication information according to the area load overweight identification result includes:
determining an area to be identified according to the map data;
acquiring the current vehicle load of each vehicle in the area to be identified according to the vehicle positions of the vehicles;
judging whether the sum of the current vehicle loads of all vehicles in the area to be identified exceeds the total bearing weight of the area to be identified;
and if so, generating fourth sub-indication information of the second indication information, wherein the fourth sub-indication information is used for sending a guide diversion path or guide driving parameters to each vehicle in the area to be identified according to the road information of the area to be identified.
In some embodiments of the present invention, if the sum of the current vehicle loads of the vehicles located in the area to be identified does not exceed the total load weight of the area to be identified, then:
judging whether the load distribution of each vehicle in the area to be identified is abnormal or not;
and if so, generating fifth sub-indication information of the second indication information, wherein the fifth sub-indication information is used for sending position adjustment information to each vehicle in the area to be identified according to the load distribution of each vehicle in the area to be identified.
According to still another aspect of the present invention, there is also provided a road surface load monitoring device including:
the receiving module is used for receiving vehicle data sent by an internet of vehicles module of a vehicle, and the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters;
the bicycle load overweight identification module is used for executing bicycle load overweight identification according to the received vehicle data and the map data and generating first indication information according to the bicycle load overweight identification result;
the area load overweight identification module is used for executing area load overweight identification according to the received multiple pieces of vehicle data and the received map data and generating second indication information according to the area load overweight identification result; and
and the safe route planning module is used for planning a safe path for each vehicle according to the first indication information and/or the second indication information.
According to still another aspect of the present invention, there is also provided a road surface load monitoring system including:
the system comprises a plurality of vehicle-mounted monitoring modules, a monitoring module and a monitoring module, wherein each vehicle-mounted monitoring module comprises at least one pressure sensor for sensing the current load of a vehicle, a storage module for storing vehicle parameters and a vehicle networking module for communication; and
the road load monitoring device as described above.
According to still another aspect of the present invention, there is also provided an electronic apparatus, including: a processor; a storage medium having stored thereon a computer program which, when executed by the processor, executes the road load monitoring method as described above.
According to yet another aspect of the present invention, there is also provided a storage medium having stored thereon a computer program which, when executed by a processor, performs the road load monitoring method as described above.
Compared with the prior art, the method and the device provided by the invention have the following advantages:
the load of a single vehicle and an area is monitored by combining a vehicle-mounted pressure sensor with a vehicle network, the sensor is not required to be installed on a road, the early warning can be timely realized, the vehicle shunting can be guided in advance, and meanwhile, a safe driving route can be planned in advance; and (4) early warning danger/accidents in time and guiding relevant departments/personnel to take treatment measures in time.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 shows a flow chart of a road load monitoring method according to an embodiment of the invention.
Fig. 2 shows a block diagram of a road load monitoring system according to an embodiment of the present invention.
FIG. 3 shows a block diagram of an in-vehicle monitoring module according to an embodiment of the invention.
Fig. 4 shows a block diagram of a road load monitoring apparatus according to an embodiment of the present invention.
FIG. 5 shows a flow chart of the steps performed by the on-board monitoring module according to an embodiment of the invention.
Fig. 6 shows a flow chart of the steps performed by the bicycle load overweight identification module according to an embodiment of the present invention.
Fig. 7 shows a flow chart of the steps performed by the area load overweight identification module according to an embodiment of the present invention.
FIG. 8 shows a flow chart of the steps performed by the safe routing module according to an embodiment of the present invention.
Fig. 9 shows a flowchart of the execution steps of the warning processing module according to an embodiment of the present invention.
Fig. 10 shows a schematic view of load maldistribution according to an embodiment of the present invention.
FIG. 11 schematically illustrates a computer-readable storage medium in an exemplary embodiment of the disclosure.
Fig. 12 schematically illustrates an electronic device in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In order to overcome the defects of the prior art, the invention provides a road load monitoring method, a road load monitoring device, a road load monitoring system, electronic equipment and a storage medium, which can realize flexible and multi-aspect vehicle overweight detection.
Referring initially to fig. 1, fig. 1 illustrates a flow chart of a road load monitoring method according to an embodiment of the present invention.
Fig. 1 shows a total of 4 steps:
step S110: receiving vehicle data sent by an internet of vehicles module of a vehicle, wherein the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters;
step S120: executing the overweight identification of the load of the bicycle according to the received vehicle data and the map data, and generating first indication information according to the overweight identification result of the load of the bicycle;
step S130: according to the received multiple pieces of vehicle data and the received map data, performing area load overweight identification, and generating second indication information according to the area load overweight identification result; and
step S140: and planning a safety path for each vehicle according to the first indication information and/or the second indication information.
In the road surface load monitoring method provided by the invention, the load of a single vehicle and an area is monitored by combining the vehicle-mounted pressure sensor with the vehicle network, the sensor is not required to be installed on a road, the early warning can be timely realized, the vehicle shunting can be guided in advance, and meanwhile, the safe driving route can be planned in advance; and (4) early warning danger/accidents in time and guiding relevant departments/personnel to take treatment measures in time.
Specifically, the road load monitoring method provided by the invention is executed by a road load monitoring device and is applied to a road load monitoring system. In order to fully describe the road load monitoring method provided by the present invention, first, the road load monitoring system, the road load monitoring device, and the vehicle-mounted monitoring module provided by the present invention are described with reference to fig. 2 to 4. Fig. 2 shows a block diagram of a road load monitoring system according to an embodiment of the present invention. FIG. 3 shows a block diagram of an in-vehicle monitoring module according to an embodiment of the invention. Fig. 4 shows a block diagram of a road load monitoring apparatus according to an embodiment of the present invention.
The road load monitoring system includes a road load monitoring device 210 and a plurality of vehicle-mounted monitoring modules 220. The road load monitoring device 210 communicates with a plurality of on-board monitoring modules 220 via a network of vehicles 230. The road load monitoring device 210 may be, for example, hardware, firmware, software or any combination thereof disposed on the internet cloud monitoring platform.
The on-board monitoring module 220 is disposed on each vehicle, and the on-board monitoring module 220 may include a control module 221, at least one pressure sensor 222, an internet of vehicles module 223, a positioning module 224, a storage module 225, a display module 226, and an acousto-optic module 227. The modules included in the vehicle monitoring module 220 are not limited thereto, and the addition, omission, function combination, and function division of the modules are within the scope of the present invention, for example, the display module 226 and the acousto-optic module 227 may be omitted, and the present invention is not limited thereto.
The pressure sensors 222 may be distributed at load bearing points on each load bearing tire or vehicle chassis. The pressure sensor 222 and the control module 221 may be connected in a wired or wireless (wifi/bluetooth/zigbee, etc.) manner. The control module 221 may calculate a current vehicle load based on data from the plurality of pressure sensors 222. The positioning module 224 may measure the position of the vehicle in real time through satellite positioning. The storage module 225 may store vehicle parameters such as license plate, vehicle type, load capacity, etc., and other necessary information, and the storage module 225 may be controlled in an encrypted manner and not modifiable by a user. The display module 226 and the sound and light module 227 can be used for displaying/playing the warning information by the user, and can also be used for displaying/playing other contents, which is not limited by the invention. The internet of vehicles module 223 is used to interact with the road load monitoring device 210 via the internet of vehicles.
The road load monitoring device 210 includes a receiving module 211, a bicycle load overweight identification module 212, a region load overweight identification module 213 and a safety route planning module 214.
The receiving module 211 is configured to receive vehicle data sent by the vehicle networking module 223 of the vehicle, where the vehicle data at least includes a current load of the vehicle, a vehicle location, and a vehicle parameter.
The bicycle load overweight identification module 212 is used for executing bicycle load overweight identification according to the received vehicle data and the map data and generating first indication information according to the bicycle load overweight identification result.
The area load overweight identification module 213 is configured to perform area load overweight identification according to the received multiple pieces of vehicle data and the received map data, and generate second indication information according to the area load overweight identification result.
The safe route planning module 214 is configured to plan a safe path for each vehicle according to the first indication information and/or the second indication information.
The road load monitoring device 210 may further include an early warning processing module 215, where the early warning processing module 215 is configured to perform early warning processing according to the first indication information and the second indication information.
The road load monitoring device 210 may also interact with the display module 202 and the database 201. The database 201 is used to store a high-precision map 201A, road and bridge data information 201B, and vehicle information 201C. The high-precision map 201A is used to provide map information. The road and bridge data information 201B is used to provide the load limit of each road section, bridge, overhead vehicle, total load limit, load distribution limit, etc., and the vehicle information may include the load limit corresponding to the vehicle model, for example, so that the vehicle parameters of the vehicle-mounted monitoring module 220 only need to include the vehicle model, and the road load monitoring device 210 may determine the load limit of the vehicle. When the system cannot automatically process the related warning information, the warning information can be displayed through the display module 202 for manual intervention, for example. The invention is not so limited.
In the road surface load monitoring device and the system provided by the invention, the load of a single vehicle and an area is monitored by combining the vehicle-mounted pressure sensor with the vehicle network, the sensor is not required to be installed on a road, the early warning can be timely realized, the vehicle shunting can be guided in advance, and meanwhile, the safe driving route can be planned in advance; and (4) early warning danger/accidents in time and guiding relevant departments/personnel to take treatment measures in time.
Fig. 4 is a block diagram schematically illustrating the road load monitoring device provided by the present invention, and the splitting, combining and adding of the modules are within the protection scope of the present invention without departing from the concept of the present invention. The modules may be implemented by hardware, software, firmware, or any combination thereof.
The following further describes the implementation of the road load monitoring method in the embodiment of the present invention with reference to a road load monitoring system, a road load monitoring device, and a vehicle-mounted monitoring module.
Referring first to fig. 5, fig. 5 shows a flow chart of the steps performed by the on-board monitoring module according to an embodiment of the invention. Fig. 5 shows the following steps in total:
step S301: and initializing the vehicle-mounted monitoring module.
Step S302: and the control module reads the numerical values of the pressure sensors and calculates the current load of the vehicle.
Step S303: the control module reads vehicle parameters from the storage module.
Step S304: the control module determines whether the vehicle is overweight itself.
If the determination in step S304 is yes, step S305 may be executed to send out an audio-visual alarm through the audio-visual module, or to perform image-text display through the display module, which is not limited in the present invention.
If the determination in step S304 is no, step S306 is executed to read the vehicle position from the positioning module.
Step S307: the control module determines whether the vehicle is in a driving state.
If the determination in step S307 is yes, step S308 is executed to upload the vehicle data to the road load monitoring device through the internet of vehicles module.
If the determination in step S307 is no, the process returns to step S302.
Specifically, in the present invention, when the vehicle is started, execution of step S301 is triggered, and when the vehicle is stopped for more than a set time, the loop step shown in fig. 5 is exited. From this, on-vehicle monitoring module can realize the self-checking of vehicle load and upload of data.
Referring to fig. 6, fig. 6 is a flow chart illustrating the steps performed by the bicycle load overweight identification module according to an embodiment of the present invention.
Fig. 6 shows the following steps in total:
step S311: and initializing a bicycle load overweight identification module.
Step S312: and receiving vehicle data uploaded by the vehicle-mounted monitoring module.
Step S313: information is read from the database.
Step S314: and judging whether the vehicle is overweight.
If the determination in step S314 is yes, step S315 is executed to generate first sub-indication information of the first indication information, where the first sub-indication information is used to indicate that overweight warning information is sent to the vehicle, and the overweight warning information may be played/displayed on an acousto-optic module and/or a display module of the vehicle-mounted monitoring module, for example.
If the determination in step S314 is no, step S316 is executed to determine whether the current load of the vehicle exceeds the overweight weight of the vehicle per unit on the road section where the vehicle is located.
If the determination in step S316 is yes, step S317 is executed to generate second sub-instruction information of the first instruction information, where the second sub-instruction information is used to send overweight instruction information to the vehicle or send a guidance diversion path to the vehicle according to the road information in the vehicle traveling direction.
If the determination in step S316 is no, step S318 is executed to determine whether the current vehicle load exceeds the individual overweight weights of the plurality of road sections in the vehicle traveling direction.
If the determination in step S318 is yes, step S319 is executed to generate third sub-instruction information of the first instruction information, where the third sub-instruction information is used to transmit the overweight instruction information to the vehicle or transmit the guidance diversion route to the vehicle according to the road information in the vehicle traveling direction.
If the determination in step S318 is no, the process returns to step S312.
The above description only schematically describes the steps performed by the bicycle load overweight identification module provided by the present invention, and the above determination steps may be performed sequentially or individually.
For example, the bicycle load overweight identification module may perform the following steps alone: determining an overweight weight of the vehicle based on the vehicle data; judging whether the current load of the vehicle exceeds the overweight weight of the vehicle or not; and if so, generating first sub-indication information of the first indication information, wherein the first sub-indication information is used for indicating that overweight warning information is sent to the vehicle. The bicycle load overweight identification module can independently execute the following steps: determining the road section where the vehicle is located according to the vehicle data; determining the overweight weight of the vehicle per vehicle on the road section where the vehicle is located according to the map data; judging whether the current load of the vehicle exceeds the overweight weight of the vehicle on the road section where the vehicle is located; and if so, generating second sub-indication information of the first indication information, wherein the second sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction. The bicycle load overweight identification module can independently execute the following steps: determining the road section where the vehicle is located according to the vehicle data; determining the weight of the overweight of the vehicle on a plurality of road sections in the advancing direction of the vehicle according to the map data; judging whether the current load of the vehicle exceeds the single overweight of the vehicle on a plurality of road sections (preset distance or preset number of road sections) in the traveling direction of the vehicle; and if so, generating third sub-indication information of the first indication information, wherein the third sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction.
The above description is only illustrative of the various embodiments of the present invention for performing the individual determination step of the bicycle load overweight identification module, and the present invention is not limited thereto. The processing of each sub indication information will be described in detail with reference to fig. 9.
Referring now to fig. 7, fig. 7 shows a flow chart of the steps performed by the area load overweight identification module according to an embodiment of the present invention.
Fig. 7 shows the following steps in total:
step S321: and initializing a region load overweight identification module.
Step S322: and determining the area to be identified.
Step S323: and receiving vehicle data uploaded by vehicle-mounted monitoring modules of all vehicles in the area to be identified.
Step S324: information is read from the database.
Step S325: and judging whether the sum of the current vehicle loads of all the vehicles in the area to be identified exceeds the total bearing weight of the area to be identified.
If the determination in step S325 is yes, step S326 is executed to generate fourth sub-indication information of second indication information, where the fourth sub-indication information is used to transmit a guidance diversion route or a guidance traveling parameter to each vehicle located in the area to be identified according to the road information of the area to be identified.
If the determination in step S325 is no, step S327 is executed to determine whether the load distribution of each vehicle in the area to be identified is abnormal.
If the determination in step S327 is yes, step S328 is executed to generate fifth sub-indication information of the second indication information, where the fifth sub-indication information is used to transmit the position adjustment information to each vehicle located in the area to be identified according to the load distribution of each vehicle in the area to be identified.
If the determination in step S328 is no, the process returns to step S322.
The above is only a schematic description of the execution steps of the area load overweight identification module provided by the present invention. The processing of each sub indication information will be described in detail with reference to fig. 9.
In some embodiments, the load distribution of the vehicles may be abnormal as shown in fig. 10, so that step S327 may obtain a plurality of lanes of the area to be identified and the load density on the lane, and if the load density difference between any two lanes is greater than a predetermined threshold (the large vehicles 410 are all located in the same lane, and the small vehicles 420 are sparsely distributed in other lanes), it is determined that the load distribution of the vehicles is abnormal. In some variations, if the area to be identified is a bridge, the bridge has a supporting portion and a non-supporting portion, the vehicle load limit of the lane located at the supporting portion is greater than the vehicle load limit of the lane of the non-supporting portion, and if it is determined that the vehicle load of all the vehicles on the lane is greater than the vehicle load limit of the different lane, it may be determined that the load distribution of the vehicles is abnormal. The invention is not so limited.
In some embodiments, the area to be identified may be a divided road section, bridge, or overhead due to the fact that the road section, bridge, or overhead is too long. For example, the overhead is divided into a plurality of areas to be identified. In the embodiments, in consideration of the influence on the adjacent to-be-identified region when the adjacent to-be-identified region is overweight, when a certain to-be-identified region is identified as overweight, the region load overweight identification module may, for example, automatically adjust the load limit of the adjacent to-be-identified region of the to-be-identified region downward, so that the load identification result of the adjacent to-be-identified region is updated according to the updated load limit, thereby improving the accuracy and safety of overweight identification.
Referring now to fig. 8, fig. 8 shows a flow chart of the steps performed by the safe routing module according to an embodiment of the present invention.
Fig. 8 shows the following steps in total:
step S331: a safe route planning module is initialized.
Step S332: and receiving vehicle data uploaded by the vehicle-mounted monitoring module.
Step S333: information is read from the database.
Step S334: and planning a safe driving route according to the indication information.
Step S335: for a currently planned vehicle, it is determined whether a safe route exists.
If the determination in step S335 is no, sixth sub-indication information is generated, where the sixth sub-indication information is used to indicate that warning information is to be sent to the vehicle.
If the determination in step S335 is yes, the process returns to step S332.
The above is only a schematic description of the steps performed by the safe route planning module provided by the present invention. The processing of each sub indication information will be described in detail with reference to fig. 9.
Referring now to fig. 9, fig. 9 is a flow chart illustrating steps performed by the early warning processing module according to an embodiment of the present invention.
Fig. 9 shows the following steps in total:
step S341: and initializing an early warning processing module.
Step S342: sub-indication information is determined.
Step S351: the first sub indication information is determined.
Step S352: and sending overweight warning information to the overweight vehicle, wherein the overweight warning information can be played/displayed on an acousto-optic module and/or a display module of the vehicle-mounted monitoring module.
Step S361: and determining the second sub-indication information or the third sub-indication information.
Step S362: it is determined whether there is an entrance (or an intersection turning to another road) in front of the road section where the vehicle is located.
If the determination in step S362 is negative, step S363 is executed to send overweight warning information to the overweight vehicle, where the overweight warning information may be played/displayed on the sound-light module and/or the display module of the vehicle-mounted monitoring module, for example.
If the determination in step S362 is yes, step S364 is executed to plan a guiding diversion path from the current position of the vehicle to the entrance through the safety route planning module, and send the guiding diversion path to the vehicle.
Step S371: the fourth sub indication information is determined.
Step S372: and judging whether the front of the area to be identified has an entrance or an exit (or an intersection turning to other roads).
If the determination in step S372 is no, step S373 transmits the driving parameters to the vehicles in the area to be identified, so that the driving speed of each vehicle is gradually increased along the driving direction of the vehicle in the area to be identified, thereby increasing the distance between the vehicles and reducing the load density of the area to be identified.
If the determination in step S372 is yes, step S374 is executed to enable the vehicles in the area to be identified to form a traffic team, plan a guiding diversion path from the current position of the traffic team to the entrance through the safety route planning module, and send the guiding diversion path to each vehicle of the traffic team (or send the guiding diversion path to the first vehicle of the traffic team in the driving direction, and the following vehicles drive along with the first vehicle).
Step S381: the fifth sub indication information is determined.
Step S382: and sending the position adjustment information to at least part of the vehicles in the area to be identified.
Taking the determination method of the load distribution abnormality shown in fig. 10 as an example (by acquiring a plurality of lanes of the to-be-identified region and the load density on the lanes, if the load density difference between any two lanes is greater than a predetermined threshold (the large vehicles 410 are all located in the same lane, and the small vehicles 420 are sparsely distributed in other lanes), determining the load distribution abnormality of the vehicles as the to-be-adjusted lanes, for each vehicle on the to-be-adjusted lanes, determining the distance between the adjacent lane vehicle and the vehicle in the traveling direction to be greater than the lane change distance threshold (the lane change distance threshold is the shortest vehicle distance required to be maintained when the vehicle changes lanes), determining the to-be-adjusted vehicles on each to-be-adjusted lane as the to-be-adjusted vehicles, sorting the to-be-adjusted vehicles on each to-be-adjusted lane according to the current loads of the vehicles, and sequentially sending position adjustment to the lightest vehicle in the sorting of the to-be-adjusted lanes with the large load density and to the vehicle with the lowest And adjusting information, namely enabling the lightest vehicle to run to the lane to be adjusted with the large load density, enabling the heaviest vehicle to run to the lane to be adjusted with the small load density, pausing the sending of the position adjustment information if the difference between the load densities of the two lanes is less than or equal to a preset threshold value, deleting the lightest vehicle and the heaviest vehicle from the sequence if the difference between the load densities of the two lanes is still greater than the preset threshold value, and sequentially sending the position adjustment information to the lightest vehicle in the sequence of the lanes to be adjusted with the large load density and to the lightest vehicle in the sequence of the lanes to be adjusted with the small load density according to the sequence.
Step S391: the sixth sub indication information is determined.
Step S392: and sending warning information to the vehicle, wherein the warning information can be played/displayed on an acousto-optic module and/or a display module of the vehicle-mounted monitoring module.
After the sub-indication information is processed, step S343 is executed to determine whether the warning is eliminated, if so, step S342 is returned to, if not, step S344 is executed to send warning information to the management department.
The above are merely a few specific implementations of the present invention, which is not limited thereto.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a computer program is stored, which when executed by, for example, a processor, may implement the steps of the road load monitoring method described in any one of the above embodiments. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention described in the above-mentioned road load monitoring method section of the present description, when said program product is run on said terminal device.
Referring to fig. 11, a program product 900 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. 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 computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the tenant computing device, partly on the tenant device, as a stand-alone software package, partly on the tenant computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing devices may be connected to the tenant computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In an exemplary embodiment of the present disclosure, there is also provided an electronic device, which may include a processor, and a memory for storing executable instructions of the processor. Wherein the processor is configured to perform the steps of the road load monitoring method of any of the above embodiments via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 1000 according to this embodiment of the invention is described below with reference to fig. 12. The electronic device 1000 of fig. 12 is only an example and should not bring any limitations to the functionality or scope of use of the embodiments of the present invention.
As shown in fig. 12, the electronic device 1000 is in the form of a general purpose computing device. The components of the electronic device 1000 may include, but are not limited to: at least one processing unit 1010, at least one memory unit 1020, a bus 1030 that couples various system components including the memory unit 1020 and the processing unit 1010, a display unit 1040, and the like.
Wherein the storage unit stores program code executable by the processing unit 1010 to cause the processing unit 1010 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned road load monitoring method section of this specification. For example, the processing unit 1010 may perform the steps shown in any of fig. 1, 5-9.
The memory unit 1020 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)10201 and/or a cache memory unit 10202, and may further include a read only memory unit (ROM) 10203.
The memory unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 1000 may also communicate with one or more external devices 1100 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a tenant to interact with the electronic device 1000, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interfaces 1050. Also, the electronic device 1000 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1060. A network adapter 1060 may communicate with other modules of the electronic device 1000 via the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
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 disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the road surface load monitoring method according to the embodiments of the present disclosure.
Compared with the prior art, the method and the device provided by the invention have the following advantages:
the load of a single vehicle and an area is monitored by combining a vehicle-mounted pressure sensor with a vehicle network, the sensor is not required to be installed on a road, the early warning can be timely realized, the vehicle shunting can be guided in advance, and meanwhile, a safe driving route can be planned in advance; and (4) early warning danger/accidents in time and guiding relevant departments/personnel to take treatment measures in time.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A road surface load monitoring method is characterized by comprising the following steps:
receiving vehicle data sent by an internet of vehicles module of a vehicle, wherein the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters;
executing the overweight identification of the load of the bicycle according to the received vehicle data and the map data, and generating first indication information according to the overweight identification result of the load of the bicycle;
according to the received multiple pieces of vehicle data and the received map data, performing area load overweight identification, and generating second indication information according to the area load overweight identification result; and
and planning a safety path for each vehicle according to the first indication information and/or the second indication information.
2. The method of claim 1, wherein the performing of the single vehicle load overweight identification according to the received vehicle data and the map data, and the generating of the first indication information according to the single vehicle load overweight identification result comprises:
determining an overweight weight of the vehicle based on the vehicle data;
judging whether the current load of the vehicle exceeds the overweight weight of the vehicle or not;
and if so, generating first sub-indication information of the first indication information, wherein the first sub-indication information is used for indicating that overweight warning information is sent to the vehicle.
3. The method of claim 1, wherein the performing of the single vehicle load overweight identification according to the received vehicle data and the map data, and the generating of the first indication information according to the single vehicle load overweight identification result comprises:
determining the road section where the vehicle is located according to the vehicle data;
determining the overweight weight of the vehicle per vehicle on the road section where the vehicle is located according to the map data;
judging whether the current load of the vehicle exceeds the overweight weight of the vehicle on the road section where the vehicle is located;
and if so, generating second sub-indication information of the first indication information, wherein the second sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction.
4. The method of claim 1, wherein the performing of the single vehicle load overweight identification according to the received vehicle data and the map data, and the generating of the first indication information according to the single vehicle load overweight identification result comprises:
determining the road section where the vehicle is located according to the vehicle data;
determining the weight of the overweight of the vehicle on a plurality of road sections in the advancing direction of the vehicle according to the map data;
judging whether the current load of the vehicle exceeds the single overweight weight of a plurality of road sections in the vehicle traveling direction;
and if so, generating third sub-indication information of the first indication information, wherein the third sub-indication information is used for sending overweight indication information to the vehicle or sending a guide diversion path to the vehicle according to the road information in the vehicle traveling direction.
5. The method for monitoring road load according to claim 1, wherein the performing of the area load overweight identification according to the received plurality of vehicle data and the map data, and the generating of the second indication information according to the area load overweight identification result comprises:
determining an area to be identified according to the map data;
acquiring the current vehicle load of each vehicle in the area to be identified according to the vehicle positions of the vehicles;
judging whether the sum of the current vehicle loads of all vehicles in the area to be identified exceeds the total bearing weight of the area to be identified;
and if so, generating fourth sub-indication information of the second indication information, wherein the fourth sub-indication information is used for sending a guide diversion path or guide driving parameters to each vehicle in the area to be identified according to the road information of the area to be identified.
6. The road surface load monitoring method according to claim 5, wherein if the sum of the current loads of the vehicles in the area to be identified does not exceed the total load weight of the area to be identified:
judging whether the load distribution of each vehicle in the area to be identified is abnormal or not;
and if so, generating fifth sub-indication information of the second indication information, wherein the fifth sub-indication information is used for sending position adjustment information to each vehicle in the area to be identified according to the load distribution of each vehicle in the area to be identified.
7. A road load monitoring device, comprising:
the receiving module is used for receiving vehicle data sent by an internet of vehicles module of a vehicle, and the vehicle data at least comprises the current load of the vehicle, the position of the vehicle and vehicle parameters;
the bicycle load overweight identification module is used for executing bicycle load overweight identification according to the received vehicle data and the map data and generating first indication information according to the bicycle load overweight identification result;
the area load overweight identification module is used for executing area load overweight identification according to the received multiple pieces of vehicle data and the received map data and generating second indication information according to the area load overweight identification result; and
and the safe route planning module is used for planning a safe path for each vehicle according to the first indication information and/or the second indication information.
8. A road load monitoring system, comprising:
the system comprises a plurality of vehicle-mounted monitoring modules, a monitoring module and a monitoring module, wherein each vehicle-mounted monitoring module comprises at least one pressure sensor for sensing the current load of a vehicle, a storage module for storing vehicle parameters and a vehicle networking module for communication; and
the road surface load monitoring device of claim 7.
9. An electronic device, characterized in that the electronic device comprises:
a processor;
a storage medium having stored thereon a computer program which, when executed by the processor, executes the road surface load monitoring method according to any one of claims 1 to 6.
10. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, executes the road surface load monitoring method according to any one of claims 1 to 6.
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