CN117542377B - Information prompting method and related device based on truck weighing - Google Patents
Information prompting method and related device based on truck weighing Download PDFInfo
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- CN117542377B CN117542377B CN202410017884.5A CN202410017884A CN117542377B CN 117542377 B CN117542377 B CN 117542377B CN 202410017884 A CN202410017884 A CN 202410017884A CN 117542377 B CN117542377 B CN 117542377B
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Classifications
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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
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
Abstract
The application provides an information prompting method and a related device based on truck weighing, wherein firstly, the audio acquisition starting time and the audio acquisition ending time of a target truck are determined; then, acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through an audio acquisition module; then, determining driving behavior data of the target truck according to the target audio data; and finally, if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again. The method can determine whether the truck has cheating behavior based on the audio frequency of the truck in the weighing process, has lower hardware cost, and can prevent the road potential safety hazard caused by the cheating of the truck in the weighing process as much as possible.
Description
Technical Field
The application relates to the technical field of electric digital data processing, in particular to an information prompting method based on truck weighing and a related device.
Background
Currently, overload overrun management of trucks is an important work in the traffic field, in general, overload refers to that the cargo mass carried by a vehicle exceeds the license-checking and loading mass, and overrun refers to that the axle load mass, the total mass of the vehicle or the length, width, height and the like of the loaded truck exceed the national specified limit values or the special limit standards of highways (including bridges, roads and ferries).
The weight of the truck can be measured through passing through the weighing module, but some drivers can utilize some driving skills to make the measured weight inaccurate, for example, the measured weight is lower than the actual weight through abnormal running behaviors such as jump weighing, towing weighing and the like, the conventional method generally prevents the measured weight inaccuracy caused by abnormal running of the truck in the weighing process by improving the weighing module and the like, and the hardware cost is higher.
Disclosure of Invention
In view of the above, the application provides an information prompt method and a related device based on truck weighing, which can accurately identify whether an abnormal driving behavior exists in the truck weighing process through audio frequency, prompt in time when the abnormal driving behavior exists, have lower hardware cost, and can prevent road safety hidden trouble caused by cheating of the truck in the weighing process as far as possible.
In a first aspect, an embodiment of the present application provides an information prompting method based on truck weighing, which is applied to a processing module in a weighing detection system, where the weighing detection system further includes a weighing module, an audio acquisition module and a prompting module, and the method includes:
determining the audio acquisition starting time and the audio acquisition ending time of a target truck;
acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through the audio acquisition module;
determining driving behavior data of the target truck according to the target audio data, wherein the driving behavior data are used for reflecting the driving behaviors of the target truck from the audio acquisition starting moment to the audio acquisition ending moment according to time sequence and information of each driving behavior;
if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again.
In a second aspect, an embodiment of the present application provides an information prompt device based on truck weighing, which is applied to a processing module in a weighing detection system, the weighing detection system further includes a weighing module, an audio acquisition module and a prompt module, and the device includes:
The acquisition determining unit is used for determining the audio acquisition starting time and the audio acquisition ending time of the target truck;
the audio acquisition unit is used for acquiring target audio data from the audio acquisition starting moment to the audio acquisition ending moment through the audio acquisition module;
the running determining unit is used for determining running behavior data of the target truck according to the target audio data, wherein the running behavior data are used for reflecting the running behaviors of the target truck from the audio acquisition starting time to the audio acquisition ending time according to time sequence and information of each running behavior;
the information prompt unit is used for generating prompt information and displaying the prompt information through the prompt module if the driving behavior data accords with preset abnormal driving behavior data, and the prompt information is used for prompting the target truck to weigh again.
In a third aspect, an embodiment of the present application provides an electronic device, including an application processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the application processor, the programs including instructions for performing steps in any of the methods of the first aspect of the embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in any of the methods of the first aspect of the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in any of the methods of the first aspect of embodiments of the present application. The computer program product may be a software installation package.
Therefore, through the information prompting method and the related device based on truck weighing, firstly, the audio acquisition starting time and the audio acquisition ending time of a target truck are determined; then, acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through an audio acquisition module; then, determining driving behavior data of the target truck according to the target audio data, wherein the driving behavior data are used for reflecting the driving behaviors of the target truck from the audio acquisition starting moment to the audio acquisition ending moment according to time sequence and information of each driving behavior; and finally, if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again. The method can determine whether the truck has cheating behavior based on the audio frequency of the truck in the weighing process, has lower hardware cost, and can prevent the road potential safety hazard caused by the cheating of the truck in the weighing process as much as possible.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system architecture diagram of an information prompting method based on truck weighing according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 3 is a flow chart of an information prompting method based on truck weighing according to an embodiment of the present application;
fig. 4 is a schematic diagram for identifying and prompting a skip-pound driving behavior of a truck according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram for identifying and prompting a wagon's towing and driving behavior according to an embodiment of the present disclosure;
fig. 6 is a functional unit composition block diagram of an information prompt device based on truck weighing according to an embodiment of the present application;
fig. 7 is a functional unit block diagram of another information prompt device based on truck weighing according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, the character "/" indicates that the front and rear associated objects are an "or" relationship. The term "plurality" as used in the embodiments herein refers to two or more.
In the embodiments of the present application, "at least one item(s)" or the like means any combination of these items, including any combination of single item(s) or plural item(s), meaning one or more, and plural means two or more. For example, at least one (one) of a, b or c may represent the following seven cases: a, b, c, a and b, a and c, b and c, a, b and c. Wherein each of a, b, c may be an element or a set comprising one or more elements.
The "connection" in the embodiments of the present application refers to various connection manners such as direct connection or indirect connection, so as to implement communication between devices, which is not limited in any way in the embodiments of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The following describes related content, concepts, meanings, technical problems, technical solutions, advantageous effects and the like related to the embodiments of the present application.
Currently, when a truck is weighed, some drivers adopt abnormal driving behaviors to lighten the final weighing values, including a skip operation, a drag operation and the like.
And the front wheel passes through the weighing module as lightly as possible by jumping the weight and lifting the head from the beginning so as to reduce the measured weight. When the trailer passes through the weighing module, if a driver pulls up the hand brake, the wheels of the trailer are locked and drag on the weighing module. The weight of the trailer of tens of tons, combined with the great friction of the tires, can lead to the wagon balance being pulled obliquely forward, so that the wagon balance is unevenly stressed and the force is not vertically downward, with the result that the weighing result is lower.
Currently, there are schemes for judging by comparing the weight of a road entrance toll station with that of a road exit toll station, but the schemes are not accurate enough, and inaccurate measurement results caused by jump or drag are avoided by improving a weighing module, so that the hardware cost is also high.
In order to solve the problems, the embodiment of the application provides an information prompting method and a related device based on truck weighing, which can determine whether a truck has cheating behavior based on audio frequency of the truck in the weighing process, have lower hardware cost, and can prevent potential safety hazards of roads caused by the cheating of the truck in the weighing process as much as possible.
First, a system architecture of an information prompting method based on truck weighing in an embodiment of the present application will be described with reference to fig. 1, where the system architecture includes a weighing module 110, an audio acquisition module 120, a prompting module 130, and a processing module 140.
The weighing module 110 may be disposed on the ground, and the weight of the truck may be measured by the truck passing through the weighing module 110, and it needs to be described that the truck can ensure that the measured weight is most accurate at a constant speed within a limited speed through the weighing module 110, and it may be understood that the weighing module 110 may include a weighing sensor, a data acquisition terminal, a communication interface, etc. and be configured to send the acquired weight data to the processing module 140.
The audio collection module 120 may be disposed near the weighing module 110, and the audio collection module 120 may be a directional microphone array, configured to collect audio data of the truck during the weighing process, and send the audio data to the processing module 140.
The prompting module 130 may be a display screen, a speaker, etc. for displaying prompting information, so that a driver of the truck may know the weighing condition.
The processing module 140 may obtain the reflected target audio data of the weighing process of the target truck, analyze and determine whether the driving behavior data of the target truck is abnormal, and timely control the prompt module 130 to display the prompt information when the driving behavior data of the target truck is abnormal.
In a possible embodiment, the system architecture may further include a limit module 150, where the limit module 150 is disposed at the end of the weighing detection section, and the processing module 140 may control the limit module 150 to perform a limit function when determining that the driving behavior data of the target truck is abnormal, and not allow the target truck to pass through, and the target truck needs to perform weighing detection again, and the processing module 140 may control the limit module 150 to perform a release function when determining that the driving behavior data of the target truck is not abnormal, which is not described herein.
Therefore, through the system architecture, whether the truck has abnormal driving behaviors or not can be determined based on the audio data in the truck weighing process, prompt is timely given when the truck has the abnormal driving behaviors, the hardware cost is low, and meanwhile, the potential safety hazard of roads caused by cheating of the truck in the weighing process can be prevented as much as possible.
In the following, an electronic device according to an embodiment of the present application will be described with reference to fig. 2, fig. 2 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in fig. 2, the electronic device 20 includes one or more application processors 220, a memory 230, a communication module 240, and one or more programs 231, where the application processors 220 are communicatively connected to the memory 230 and the communication module 240 through an internal communication bus.
Wherein the one or more programs 231 are stored in the memory 230 and configured to be executed by the application processor 220, the one or more programs 231 comprising instructions for performing any of the steps of the method embodiments described above.
The Application processor 220 may be, for example, a central processing unit (Central Processing Unit, CPU), a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an Application-specific integrated circuit (ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The application processor 220 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like. The communication unit may be a communication module 240, a transceiver, a transceiving circuit, etc., and the storage unit may be a memory 230.
Memory 230 may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example but not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM).
It will be appreciated that the electronic device 20 may include more or fewer structural elements than those described in the above-described block diagrams, including, for example, a power module, physical key, wi-Fi module, speaker, bluetooth module, sensor, display module, etc., without limitation. The electronic device 20 may be any module of the system architecture described above, which is not described herein.
After understanding the software and hardware architecture of the embodiments of the present application, a method for prompting information based on truck weighing in the embodiments of the present application is described below with reference to fig. 3, and fig. 3 is a schematic flow diagram of the method for prompting information based on truck weighing provided in the embodiments of the present application, which is applied to a processing module in a weighing detection system, where the weighing detection system further includes a weighing module, an audio acquisition module, and a prompting module, and specifically includes the following steps:
step S301, determining an audio acquisition start time and an audio acquisition end time of the target wagon.
The weighing module can be regarded as a plane with length and width, the target truck is regarded as a front road section for weighing detection before reaching the weighing module, the target truck passes through the front road section, the front wheel is just pressed at the forefront edge of the weighing module and is regarded as starting weighing, and the rear wheel is just separated from the extreme end of the weighing module and is regarded as finishing weighing.
The method comprises the steps of obtaining the time when a weighing module has a reading and the time when the reading of the weighing module returns to zero, and then determining preset time length according to the distance between the weighing module and a weighing starting position and a preset weighing speed limit range; then, determining the moment corresponding to the preset duration before the moment of reading by the weighing module as the audio acquisition starting moment; and finally, determining the time when the reading of the weighing module returns to zero as the audio acquisition ending time.
Specifically, when the front wheel of the target truck just presses on the weighing module, the weighing module starts to have a reading, when the rear wheel of the target truck just leaves the weighing module, the reading of the weighing module returns to zero, the distance between the weighing starting position and the weighing module can be 10 meters, and the like, the preset over-weighing speed limit range can be within 10km/h, and the preset over-weighing speed limit range is not particularly limited herein, for example, if the distance between the weighing starting position and the weighing module is 10 meters, the preset time length can be calculated to be 10 meters divided by 10km/h to be about equal to 3.6 seconds, at the moment, the moment 3.6 seconds before the moment when the weighing module has the reading is taken as the audio acquisition starting moment, so that the complete audio data of the target truck from starting to running to enter the weighing module can be acquired as far as possible, the interference of irrelevant audio fragments can be eliminated, and the overall running behavior of the target truck can be analyzed, if the behaviors such as oiling, emergency braking exist before the target truck enters the weighing module can be greatly improved. And the moment when the reading of the weighing module returns to zero is used as the audio acquisition ending moment, the interference of redundant irrelevant audio clips can be eliminated, and the power consumption of the audio acquisition module is reduced, because the follow-up running behavior can not generate interference on the weighing result if the rear wheel leaves the weighing module in the weighing process of the target truck, the follow-up running behavior is not required to be analyzed, and the calculation overhead is reduced.
Therefore, by determining the audio acquisition starting time and the audio acquisition ending time of the target truck, reliable data support can be provided for subsequent information prompt, the accuracy of the information prompt is improved, and the power consumption can be reduced.
Step S302, acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through an audio acquisition module.
In one possible embodiment, the audio acquisition module may continuously acquire the original audio data, and the processing module may acquire target audio data from an audio acquisition start time to an audio acquisition end time in the original audio data.
In one possible embodiment, the processing module may control the audio acquisition module to acquire audio data from a start time of audio acquisition to an end time of audio acquisition, and acquire the acquired target audio data.
It can be appreciated that the target audio data may be pre-processed audio data, so that the target audio data may be conveniently identified and analyzed to determine the driving behavior data of the target wagon.
Therefore, the audio acquisition module is used for acquiring the target audio data from the audio acquisition starting time to the audio acquisition ending time, so that the audio interference of the target truck outside the weighing process can be eliminated, only the audio data of the target truck in the weighing process can be intercepted, and accurate data support can be provided for the follow-up identification of the driving behavior of the target truck in the weighing process.
Step S303, determining the driving behavior data of the target truck according to the target audio data.
The driving behavior data is used for reflecting the driving behavior of the target truck from the audio collection starting time to the audio collection ending time according to time sequence and the information of each driving behavior, and the driving behavior data can comprise oiling driving data and braking driving data.
The method comprises the steps that first segment data matched with preset fueling sound waveform data in target audio data can be determined, wherein the first segment data comprises decibel data, duration data and time sequence data of each fueling sound segment; then, determining second segment data matched with preset manual brake sound waveform data in the target audio data, wherein the second segment data comprises decibel data, duration data and time sequence data of each manual brake sound segment; then, determining third segment data matched with preset tire friction acoustic waveform data in the target audio data, wherein the third segment data comprises decibel data, duration data and time sequence data of each tire friction acoustic segment; and finally, determining the oiling running data according to the first segment data, and determining the braking running data according to the second segment data and the third segment data.
Specifically, the fueling acoustic waveform, the manual braking acoustic waveform and the tire friction acoustic waveform of each truck on the weighing module of different types of trucks can be stored in advance, the preset fueling acoustic waveform data, the preset manual braking acoustic waveform data and the preset tire friction acoustic waveform data corresponding to the model of the target truck are determined from the fueling acoustic waveform data, the preset manual braking acoustic waveform data and the preset tire friction acoustic waveform data, the first segment data, the second segment data and the third segment data can be determined through recognition by a trained neural network model, and it is understood that the first segment data can be absent at times, the second segment data can be absent at times, and the third segment data can be absent at times, so that specific limitations are not made herein.
It should be noted that, the fueling sound in the embodiment of the present application refers to the sound generated by the driver increasing the depth of the accelerator, because the fueling sound is not generated when the driver holds the accelerator at the same position, so that a period of time from each time of stepping on the accelerator to stopping to continue stepping on the accelerator can be considered to be a period of fueling sound, and similarly, the manual braking sound is generally friction sound generated by a brake pad, if the driver only steps on the brake slightly, the brake pad sound is too weak and the second segment data is not recognized, the manual braking sound in the embodiment of the present application refers to the sound generated by the brake pad when the driver steps on the brake or pulls up the hand brake, so that a period of manual braking sound can be considered to exist when the driver steps on the brake pad to stop the hand brake each time.
In one possible embodiment, in determining fueling travel data, a depth of an accelerator pedal corresponding to each fueling may be determined based on the decibel data of each fueling segment, the depth of the accelerator pedal being in positive correlation with a size of the decibel data of each fueling segment, and then an acceleration duration corresponding to each fueling may be determined based on the duration data of each fueling segment, it being understood that maintaining accelerator stability generally does not produce fueling sounds and may be regarded as not producing a large acceleration, so the duration of fueling sounds may be determined as an acceleration duration of each fueling, and then an acceleration travel level corresponding to each fueling may be determined based on the depth of the accelerator pedal corresponding to each fueling and the acceleration duration corresponding to each fueling, it can be understood that the acceleration driving level may reflect the acceleration degree of the target truck, the acceleration driving level is positively correlated with the depth of the accelerator pedal, the acceleration driving level is positively correlated with the acceleration duration, and finally, the acceleration start time stamp and the acceleration end time stamp corresponding to each refueling can be determined according to the time sequence data of each refueling sound segment, if two refueling sound segments exist, the total duration of the target audio data is 30 seconds, the acceleration start time stamp of the first acceleration can be determined to be 3 seconds according to the time sequence data of the first refueling sound segment, the acceleration end time stamp of the first acceleration is 10 seconds, the acceleration start time stamp of the second acceleration can be determined to be 18 seconds according to the time sequence data of the second refueling sound segment, and the acceleration end time stamp of the second acceleration is 25 seconds, which is not particularly limited herein. It can be understood that in the embodiment of the present application, the acceleration or the running speed of an accurate target truck is not required to be determined, and the acceleration running behavior data of the target truck in the weighing process can be determined only by determining the acceleration degree, so that the degree of each refueling and the time period of each refueling in the whole weighing process can be determined.
In one possible embodiment, in determining the braking data, the braking strength corresponding to each manual braking may be determined according to the decibel data of each manual braking sound segment and the decibel data of each tire friction sound segment, the braking strength is positively related to the magnitude of the decibel data of the manual braking sound segment and the magnitude of the decibel data of the tire friction sound segment, then the braking duration corresponding to each manual braking may be determined according to the duration data of each manual braking sound segment and the duration data of each tire friction sound segment, the braking duration of each braking may be a weighted average of the duration data of each manual braking sound segment and the duration data of each tire friction sound segment corresponding to each manual braking, then the braking driving level corresponding to each manual braking may be determined according to the braking strength corresponding to each manual braking and the braking duration corresponding to each manual braking, the braking driving level is positively related to the braking strength and the braking duration, finally the braking duration corresponding to each manual braking sound segment, the braking duration corresponding to each braking time segment may be determined according to the time sequence data of each manual braking sound segment, and the time stamp may be determined according to the time sequence of each manual braking segment and the time sequence of each manual braking segment, and the time stamp may be obtained by weighing.
Therefore, the driving behavior data of the target truck can be determined according to the target audio data without setting an additional camera module, the hardware cost is low, and meanwhile, the accurate driving behavior data of the target truck can be determined to provide data support for follow-up information prompt.
Step S304, if the driving behavior data accords with the preset abnormal driving behavior data, prompt information is generated and displayed through a prompt module.
The prompt message is used for prompting the target truck to weigh again.
In a possible embodiment, the abnormal driving behavior data may include first abnormal driving behavior data, if the acceleration driving level exceeds a preset acceleration level, it is determined that the driving behavior data accords with the first abnormal driving behavior data, the preset acceleration level may be determined according to a preset overranging speed limit range, for example, the preset process speed limit range is 5km/h, if the acceleration speed of the truck in the weighing process does not exceed the preset acceleration level corresponding to 5km/h, otherwise, it may be considered that the overspeed of the truck is not accurate due to the weighing module, at this time, a first prompt message may be generated and displayed by the prompt module, where the first prompt message includes guiding information and first prompt message, the guiding information is used to guide the target truck to travel according to a guiding route to re-weigh, the first prompt message is used to prompt the target truck to slow down through the weighing module, and the guiding information may be at least one of text, picture, video, audio, indicator light and other driving displays, and is not limited specifically herein.
In a possible embodiment, the abnormal driving behavior data may include second abnormal driving behavior data, if the braking driving level exceeds a preset braking level, it is determined that the driving behavior data accords with the second abnormal driving behavior data, the preset braking level may be a braking level corresponding to emergency braking, and when the truck brakes suddenly in the weighing process, a measurement result may be inaccurate, and at this time, second prompt information may be generated and displayed by the prompt module, where the second prompt information includes the guide information and the second prompt information, and the second prompt information is used for prompting that the target truck does not brake by the weighing module.
In one possible embodiment, the abnormal driving behavior data may include third abnormal driving behavior data, and if the acceleration driving level does not exceed the preset acceleration level and the braking driving level does not exceed the preset braking level, and a time difference between an acceleration end time stamp corresponding to any one of the fuel filling and a braking start time stamp corresponding to any one of the braking is smaller than a preset time difference threshold, or a time difference between a braking end time stamp corresponding to any one of the braking and a fuel filling start time stamp corresponding to any one of the fuel filling is smaller than the preset time difference threshold, it is determined that the driving behavior data conforms to third abnormal driving behavior data. It can be understood that the quick oiling, braking or braking and oiling actions of the truck in the weighing process can cause inaccurate measurement results, at this time, third prompt information can be generated and displayed through the prompt module, the third prompt information comprises guide information and warning information, the warning information is used for warning that the target truck has weighing cheating behaviors, the weighing cheating behaviors can comprise jumping pounds running behaviors and/or dragging pounds running behaviors, and the like, subjective intentional degree is more serious, and therefore the warning information needs to be displayed.
In order to facilitate understanding, the following description will be given with reference to fig. 4, fig. 4 is a schematic diagram for identifying and prompting a skip driving behavior provided in this embodiment of the present application, when a target truck starts from a weighing start position, the target truck will first travel to the front of the weighing sensor, and then immediately jerk the accelerator after manual braking, so that the truck head may slightly tilt, and the front wheel may not completely press the weighing sensor, but skip or slightly press the weighing sensor, and since the weighing sensor calculates the total weight of the vehicle by the weight of each axle, the measured weight is significantly lighter than the actual weight, and the skip may crush the weighing sensor.
In order to facilitate understanding, the following description will be made with reference to fig. 5, fig. 5 is a schematic diagram for identifying and prompting a dragging behavior of a truck according to an embodiment of the present application, when a front wheel of a target truck passes through a weighing sensor, a rear wheel is first stepped on an accelerator and then manually braked, and because a center of gravity of inertia is moved forward, a main load of weight is transferred to the front wheel, so that the measured weight is reduced.
It should be noted that, when the driving behavior data is determined to be abnormal driving behavior data, at least one starting time stamp of the driving behavior is later than the time when the weighing sensor has a reading, otherwise, whether the driving behavior is abnormal may not be accurately determined.
In one possible embodiment, after determining that the driving behavior data is abnormal driving behavior data, the restriction module may be controlled not to allow the target truck to pass until the driving behavior data of the target truck is not abnormal driving behavior data.
Therefore, through the information prompting method based on the truck weighing, whether the truck has cheating behavior or not can be determined based on the audio frequency of the truck in the weighing process, the hardware cost is low, and meanwhile, the potential safety hazard of the road caused by the cheating of the truck in the weighing process can be prevented as much as possible.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application may divide the functional units of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.
Under the condition that each functional module is divided by adopting corresponding each function, fig. 6 is a functional unit composition block diagram of an information prompt device based on truck weighing provided in this application, and the functional unit composition block diagram is represented by a first prompt device 600, and is applied to a processing module in a weighing detection system, the weighing detection system further comprises a weighing module, an audio acquisition module and a prompt module, and the first prompt device 600 comprises:
the acquisition determining unit 610 is configured to determine an audio acquisition start time and an audio acquisition end time of the target wagon;
an audio acquisition unit 620, configured to acquire, by using the audio acquisition module, target audio data from the audio acquisition start time to the audio acquisition end time;
A driving determining unit 630, configured to determine driving behavior data of the target truck according to the target audio data, where the driving behavior data is used to reflect driving behaviors of the target truck from the audio acquisition start time to the audio acquisition end time according to a time sequence and information of each driving behavior;
the information prompt unit 640 is configured to generate prompt information and display the prompt information through the prompt module if the driving behavior data accords with preset abnormal driving behavior data, where the prompt information is used to prompt the target truck to weigh again.
Therefore, through the information prompting method and the related device based on truck weighing, firstly, the audio acquisition starting time and the audio acquisition ending time of a target truck are determined; then, acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through an audio acquisition module; then, determining driving behavior data of the target truck according to the target audio data, wherein the driving behavior data are used for reflecting the driving behaviors of the target truck from the audio acquisition starting moment to the audio acquisition ending moment according to time sequence and information of each driving behavior; and finally, if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again. The method can determine whether the truck has cheating behavior based on the audio frequency of the truck in the weighing process, has lower hardware cost, and can prevent the road potential safety hazard caused by the cheating of the truck in the weighing process as much as possible.
It should be noted that, the specific implementation of each operation may be described in the above-illustrated method embodiment, and the first prompting device 600 may be used to execute the method embodiment of the present application, which is not described herein.
In the case of using integrated units, another information prompting device based on truck weighing in the embodiment of the present application is described in detail below with reference to fig. 7, and denoted by a second prompting device 700, where the second prompting device 700 is applied to a processing module in a weighing detection system, and the weighing detection system further includes a weighing module, an audio acquisition module, and a prompting module, and includes a processing unit 701 and a communication unit 702, where the processing unit 701 is configured to execute any step in the foregoing method embodiments, and optionally invoke the communication unit 702 to complete a corresponding operation when performing data transmission such as sending.
The second prompting device 700 may further include a storage unit 703, for storing program codes and data. The processing unit 701 may be a processor, the communication unit 702 may be a wireless communication module, the storage unit 703 may be a memory, and the processing unit 701 is specifically configured to:
Determining the audio acquisition starting time and the audio acquisition ending time of a target truck;
acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through the audio acquisition module;
determining driving behavior data of the target truck according to the target audio data, wherein the driving behavior data are used for reflecting the driving behaviors of the target truck from the audio acquisition starting moment to the audio acquisition ending moment according to time sequence and information of each driving behavior;
if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again.
Therefore, through the information prompting method and the related device based on truck weighing, firstly, the audio acquisition starting time and the audio acquisition ending time of a target truck are determined; then, acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through an audio acquisition module; then, determining driving behavior data of the target truck according to the target audio data, wherein the driving behavior data are used for reflecting the driving behaviors of the target truck from the audio acquisition starting moment to the audio acquisition ending moment according to time sequence and information of each driving behavior; and finally, if the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again. The method can determine whether the truck has cheating behavior based on the audio frequency of the truck in the weighing process, has lower hardware cost, and can prevent the road potential safety hazard caused by the cheating of the truck in the weighing process as much as possible.
It should be noted that, the specific implementation of each operation may be described in the above-illustrated method embodiment, and the second prompting device 700 may be used to execute the method embodiment of the present application, which is not described herein.
The embodiment of the application also provides a chip, which comprises a processor, a memory and a computer program or instructions stored on the memory, wherein the processor executes the computer program or instructions to realize the steps described in the embodiment of the method.
The embodiment of the application also provides a chip module, which comprises a transceiver component and a chip, wherein the chip comprises a processor, a memory and a computer program or instructions stored on the memory, and the processor executes the computer program or instructions to realize the steps described in the embodiment of the method.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.
For the above embodiments, for simplicity of description, the same is denoted as a series of combinations of actions. It will be appreciated by those skilled in the art that the present application is not limited by the illustrated ordering of acts, as some steps may be performed in other order or concurrently in embodiments of the present application. In addition, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts, steps, modules, units, etc. that are referred to are not necessarily required in the embodiments of the application.
In the foregoing embodiments, the descriptions of the embodiments of the present application are focused on each embodiment, and for a portion of one embodiment that is not described in detail, reference may be made to the related descriptions of other embodiments.
The steps of a method or algorithm described in the embodiments of the present application may be implemented in hardware, or may be implemented by executing software instructions by a processor. The software instructions may be comprised of corresponding software modules that may be stored in RAM, flash memory, ROM, EPROM, electrically Erasable EPROM (EEPROM), registers, hard disk, a removable disk, a compact disk read-only (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may be located in a terminal device or a management device. The processor and the storage medium may reside as discrete components in a terminal device or management device.
Those of skill in the art will appreciate that in one or more of the above examples, the functions described in the embodiments of the present application may be implemented, in whole or in part, in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The respective apparatuses and the respective modules/units included in the products described in the above embodiments may be software modules/units, may be hardware modules/units, or may be partly software modules/units, and partly hardware modules/units. For example, for each device or product applied to or integrated on a chip, each module/unit included in the device or product may be implemented in hardware such as a circuit, or at least part of the modules/units may be implemented in software program, where the software program runs on a processor integrated inside the chip, and the rest (if any) of the modules/units may be implemented in hardware such as a circuit; for each device and product applied to or integrated in the chip module, each module/unit contained in the device and product can be realized in a hardware manner such as a circuit, different modules/units can be located in the same component (such as a chip, a circuit module and the like) or different components of the chip module, or at least part of the modules/units can be realized in a software program, the software program runs on a processor integrated in the chip module, and the rest (if any) of the modules/units can be realized in a hardware manner such as a circuit; for each device, product, or application to or integrated with the terminal device, each module/unit included in the device may be implemented in hardware such as a circuit, and different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components in the terminal device, or at least some modules/units may be implemented in a software program, where the software program runs on a processor integrated within the terminal device, and the remaining (if any) part of the modules/units may be implemented in hardware such as a circuit.
The foregoing embodiments have been provided for the purpose of illustrating the embodiments of the present application in further detail, and it should be understood that the foregoing embodiments are merely illustrative of the embodiments of the present application and are not intended to limit the scope of the embodiments of the present application, and any modifications, equivalents, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application are included in the scope of the embodiments of the present application.
Claims (8)
1. The information prompting method based on truck weighing is characterized by being applied to a processing module in a weighing detection system, wherein the weighing detection system further comprises a weighing module, an audio acquisition module and a prompting module, and the method comprises the following steps:
determining the audio acquisition starting time and the audio acquisition ending time of a target truck, and specifically, acquiring the time when the weighing module has a reading and the time when the reading of the weighing module returns to zero; determining a preset duration according to the distance between the weighing module and the weighing starting position and a preset overweighing speed limit range; determining the time corresponding to the preset time before the time when the weighing module has a reading as the audio acquisition starting time; determining the time when the reading of the weighing module returns to zero as the audio acquisition ending time;
Acquiring target audio data from the audio acquisition starting time to the audio acquisition ending time through the audio acquisition module;
determining running behavior data of the target truck according to the target audio data, wherein the running behavior data are used for reflecting the running behavior of the target truck from the audio acquisition starting time to the audio acquisition ending time according to time sequence and information of each running behavior, the running behavior data comprise oiling running data and braking running data, and the determining the running behavior data of the target truck according to the target audio data comprises the following steps: determining first segment data matched with preset fueling acoustic waveform data in the target audio data, wherein the first segment data comprises decibel data, duration data and time sequence data of each fueling acoustic segment; determining second segment data matched with preset manual brake sound waveform data in the target audio data, wherein the second segment data comprises decibel data, duration data and time sequence data of each manual brake sound segment; determining third segment data matched with preset tire friction acoustic waveform data in the target audio data, wherein the third segment data comprises decibel data, duration data and time sequence data of each tire friction acoustic segment; determining the fueling running data according to the first segment data, wherein the fueling running data is used for indicating the degree of each fueling and the time period of each fueling in the whole weighing process; determining the brake driving data according to the second segment data and the third segment data, wherein the brake driving data is used for indicating the degree of each brake and the time period of each brake in the whole weighing process;
If the driving behavior data accords with the preset abnormal driving behavior data, generating prompt information and displaying the prompt information through the prompt module, wherein the prompt information is used for prompting the target truck to weigh again.
2. The method of claim 1, wherein said determining said fueling data from said first segment data comprises:
determining the depth of the accelerator pedal corresponding to each refueling according to the decibel data of each refueling sound segment;
determining the corresponding acceleration time length of each refueling according to the time length data of each refueling sound segment;
determining an acceleration driving grade corresponding to each refueling according to the depth of the accelerator pedal corresponding to each refueling and the acceleration duration corresponding to each refueling;
and determining the acceleration start time stamp and the acceleration end time stamp corresponding to each refueling according to the time sequence data of each refueling sound segment.
3. The method of claim 2, wherein said determining said braking data from said second segment data and said third segment data comprises:
determining the corresponding braking strength of each manual braking according to the decibel data of each manual braking sound segment and the decibel data of each tire friction sound segment;
Determining the corresponding braking duration of each manual braking according to the duration data of each manual braking sound segment and the duration data of each tire friction sound segment;
determining a brake running grade corresponding to each manual brake according to the brake strength corresponding to each manual brake and the brake duration corresponding to each manual brake;
and determining a brake starting time stamp corresponding to each manual brake according to the time sequence data of each manual brake sound segment, and determining a brake finishing time stamp corresponding to each manual brake according to the time sequence data of each tire friction sound segment.
4. The method of claim 3, wherein if the driving behavior data conforms to the preset abnormal driving behavior data, generating a prompt message and displaying the prompt message by the prompt module, the method further comprises:
if the acceleration driving level exceeds a preset acceleration level, determining that the driving behavior data accords with first abnormal driving behavior data;
if the brake driving level exceeds the preset brake level, determining that the driving behavior data accords with second abnormal driving behavior data;
If the acceleration running level does not exceed the preset acceleration level, the braking running level does not exceed the preset braking level, and the time difference between the acceleration ending time stamp corresponding to any one time of oiling and the braking starting time stamp corresponding to any one time of braking is smaller than a preset time difference threshold, or the time difference between the braking ending time stamp corresponding to any one time of braking and the oiling starting time stamp corresponding to any one time of oiling is smaller than the preset time difference threshold, determining that the running behavior data accords with third abnormal running behavior data.
5. The method of claim 4, wherein if the driving behavior data conforms to the preset abnormal driving behavior data, generating a prompt message and displaying the prompt message through the prompt module, comprising:
if the driving behavior data accords with the first abnormal driving behavior data, generating first prompt information and displaying the first prompt information through the prompt module, wherein the first prompt information comprises guide information and first suggestion information, the guide information is used for guiding the target truck to drive according to a guide route so as to re-weigh, and the first suggestion information is used for prompting the target truck to decelerate through the weighing module;
If the driving behavior data accords with the second abnormal driving behavior data, generating second prompt information and displaying the second prompt information through the prompt module, wherein the second prompt information comprises the guide information and second recommendation information, and the second recommendation information is used for prompting the target truck to pass through the weighing module without braking;
if the driving behavior data accords with the third abnormal driving behavior data, third prompt information is generated and displayed through the prompt module, the third prompt information comprises the guide information and the warning information, and the warning information is used for warning that the weighing cheating behavior exists in the target truck.
6. Information prompt device based on freight train is weighed, its characterized in that is applied to the processing module among the detection system that weighs, the detection system that weighs still includes weighing module, audio acquisition module and suggestion module, the device includes:
the acquisition determining unit is used for determining the audio acquisition starting time and the audio acquisition ending time of the target truck, and particularly, acquiring the time when the weighing module has a reading and the time when the reading of the weighing module returns to zero; determining a preset duration according to the distance between the weighing module and the weighing starting position and a preset overweighing speed limit range; determining the time corresponding to the preset time before the time when the weighing module has a reading as the audio acquisition starting time; determining the time when the reading of the weighing module returns to zero as the audio acquisition ending time;
The audio acquisition unit is used for acquiring target audio data from the audio acquisition starting moment to the audio acquisition ending moment through the audio acquisition module;
the system comprises a driving determining unit, a driving determining unit and a driving determining unit, wherein the driving determining unit is used for determining driving behavior data of the target truck according to the target audio data, the driving behavior data is used for reflecting the driving behavior of the target truck from the audio acquisition starting time to the audio acquisition ending time according to time sequence and information of each driving behavior, the driving behavior data comprises oiling driving data and braking driving data, and the driving behavior data of the target truck determined according to the target audio data comprises: determining first segment data matched with preset fueling acoustic waveform data in the target audio data, wherein the first segment data comprises decibel data, duration data and time sequence data of each fueling acoustic segment; determining second segment data matched with preset manual brake sound waveform data in the target audio data, wherein the second segment data comprises decibel data, duration data and time sequence data of each manual brake sound segment; determining third segment data matched with preset tire friction acoustic waveform data in the target audio data, wherein the third segment data comprises decibel data, duration data and time sequence data of each tire friction acoustic segment; determining the fueling running data according to the first segment data, wherein the fueling running data is used for indicating the degree of each fueling and the time period of each fueling in the whole weighing process; determining the brake driving data according to the second segment data and the third segment data, wherein the brake driving data is used for indicating the degree of each brake and the time period of each brake in the whole weighing process;
The information prompt unit is used for generating prompt information and displaying the prompt information through the prompt module if the driving behavior data accords with preset abnormal driving behavior data, and the prompt information is used for prompting the target truck to weigh again.
7. An electronic device, comprising: an application processor, a memory, and one or more programs; the one or more programs are stored in the memory and configured to be executed by the application processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
8. A computer storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1-5.
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