CN115063055A - Semitrailer equipment operation performance supervisory systems based on data analysis - Google Patents
Semitrailer equipment operation performance supervisory systems based on data analysis Download PDFInfo
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Abstract
The invention relates to the technical field of semitrailer operation supervision, and particularly discloses a semitrailer equipment operation performance supervision system based on data analysis, which comprises: the road parameter acquisition module is used for acquiring the type of a steering path of a driving road of the semitrailer; the operation parameter acquisition module is used for acquiring a plurality of dynamic parameters of the semitrailer; the data analysis module is used for inputting a plurality of dynamic parameters of the semitrailer into the semitrailer model frame to generate dynamic parameter vectors; the performance supervision module is used for inputting the dynamic parameter vector into the parameter evaluation model corresponding to the steering path type for evaluation, and supervising the semi-trailer equipment according to the evaluation result.
Description
Technical Field
The invention relates to the technical field of semitrailer operation supervision, in particular to a semitrailer equipment operation performance supervision system based on data analysis.
Background
With the rapid development of the logistics industry, the application of the semitrailer in the transportation process plays a positive promoting role in the logistics industry, compared with a single automobile, the transportation efficiency can be improved by 30-50%, the cost is reduced by 30-40%, the oil consumption is reduced by 20-30%, and the comprehensive economic benefit of road transportation can be obviously improved.
In the use process of the semi-trailer equipment, because the body of the semi-trailer equipment is longer, the trailer is not rigidly connected with the tractor, and the trailer has slightly slow response to the operation of a driver, the semi-trailer equipment has higher requirements on the operation of the driver, particularly, in the steering process of the semi-trailer, the driver can accurately grasp a backing route by needing good observation force and judgment force, and because the body of the semi-trailer is heavier and loaded goods are added, the requirements on the braking performance of the semi-trailer equipment are higher, particularly in some road sections with narrower roads, the requirements on the driving experience and the driving capability of the driver are higher; in the related traffic data statistics, the traffic accidents caused by the manual misoperation of the semitrailer occupy a high proportion, and meanwhile, the semitrailer has a large volume, so that after the semitrailer has an accident, the normal driving of other vehicles is greatly influenced, and the degree of traffic jam is far greater than that of the common vehicle accidents.
In the existing vehicle operation system, an intelligent supervision system is mainly applied to a small-sized vehicle, recommended driving parameters are obtained by collecting and analyzing road information conditions and vehicle conditions, and because the small-sized vehicle has low safety analysis in the steering process, a special steering auxiliary system is arranged, for the operation of the semitrailer, relevant parameters in the driving process and information of a rearview mirror are mainly displayed to a driver, and the driver looks at the information of the rearview mirror and performs steering control according to experience.
Disclosure of Invention
The invention aims to provide a semitrailer equipment operation performance monitoring system based on data analysis, which solves the following technical problems:
how to provide a system for assisting the safe steering of the semitrailer.
The purpose of the invention can be realized by the following technical scheme:
a semitrailer device operational performance monitoring system based on data analysis, the system comprising:
the road parameter acquisition module is used for acquiring the type of a steering path of a driving road of the semitrailer;
the operation parameter acquisition module is used for acquiring a plurality of dynamic parameters of the semitrailer;
the data analysis module is used for inputting a plurality of dynamic parameters of the semitrailer into the semitrailer model frame to generate dynamic parameter vectors;
and the performance supervision module is used for inputting the dynamic parameter vector into the parameter evaluation model corresponding to the steering path type for evaluation, and supervising the semi-trailer equipment according to the evaluation result.
In one embodiment, the turning path types include left-turning, right-turning, and turning around;
the establishing process of the parameter evaluation model comprises the following steps:
acquiring accident vehicles of the same type of the semitrailer under different steering path types;
extracting dynamic parameters corresponding to the accident vehicle and generating corresponding sample dynamic parameter vectors according to a model frame of the accident vehicle;
and training by taking the sample dynamics parameter vector as a negative sample to obtain parameter evaluation models of different steering path types.
In one embodiment, the evaluation process comprises:
inputting the dynamic parameter vector into a parameter evaluation model corresponding to the type of the steering path;
judging a safety risk value of the kinetic parameter vector under the steering path type according to the parameter evaluation model;
the supervision process comprises the following steps:
and when the monitored risk value is larger than a preset threshold value, prompting a driver.
In one embodiment, the system further comprises an intelligent monitoring module;
the intelligent monitoring module is connected with monitoring cameras positioned around the semitrailer and used for giving an early warning to a driver and pushing monitoring pictures corresponding to the monitoring cameras when the semitrailer drives according to the optimal steering path.
In one embodiment, the process of the pre-warning includes:
acquiring a warning area in the steering process of the semitrailer;
the monitoring picture of the warning area is obtained and recognized, and when the potential safety hazard exists in the warning area, the driver is warned and the corresponding monitoring picture is pushed to the driver.
In one embodiment, the identification process comprises:
collecting key frames in a monitoring picture at specific intervals;
carrying out graying processing on the key frame image;
and extracting the road area contour and the abnormal contour in the road area in the key frame by an edge detection algorithm, and identifying the original image information corresponding to the abnormal contour.
In an embodiment, the intelligent monitoring module is further configured to monitor leakage of the semi-trailer equipment.
In one embodiment, the leakage monitoring process comprises:
collecting key frames in a monitoring picture at specific intervals;
carrying out graying processing on the key frame image;
and extracting the contour information of the semi-trailer area in the key frame through an edge detection algorithm, comparing the acquired contour information with the contour information of the semi-trailer area in the previous frame, and judging whether leakage exists according to the comparison result.
In one embodiment, the process of comparing the profile information includes:
overlapping and comparing the collected semi-trailer region contour line with the semi-trailer region contour line in the previous frame, calculating the length of the non-overlapping contour line, and comparing the length L of the non-overlapping contour line with a preset threshold value
And (3) carrying out comparison:
if it is
Judging that leakage exists;
otherwise, judging that no leakage exists.
The invention has the beneficial effects that:
(1) according to the semi-trailer steering monitoring system, the corresponding parameter evaluation model can be selected for evaluation through the acquisition of the type of the steering path, the acquired dynamic parameters are input into the model frame in combination with the semi-trailer, then the dynamic parameter vector can be acquired, the dynamic parameter vector is input into the parameter evaluation model, then the current performance of the semi-trailer can be evaluated, and the driver is supervised through the evaluation result, so that the driving safety of the semi-trailer is ensured, and the supervision of the steering process of the semi-trailer is realized.
(2) The invention reminds the driver to adjust the related parameters in time by prompting the driver, thereby reducing the occurrence of accidents, achieving the effect of reminding the driver to pay attention to the safe steering on one hand, and helping the novice driver to safely steer to improve the safety in the steering process on the other hand.
(3) The semi-trailer steering monitoring system can intelligently judge the monitoring position needing attention in the steering process, can enable a driver to quickly notice the safety dead angle in the steering process by pushing the monitoring picture, and can give an early warning to the driver when potential safety hazards exist by analyzing the monitoring picture, so that the safety of the semi-trailer steering process is ensured.
(4) According to the method, the road area outline is obtained firstly, and then the original image information corresponding to the abnormal outline in the road area outline is identified, so that on one hand, the identified area can be greatly reduced, the calculated amount is reduced, on the other hand, the method can avoid the influence of other objects which cannot be in the area on the detection process, and the occurrence of the misjudgment problem is reduced; potential safety hazards existing in the monitoring picture can be rapidly and accurately identified, and then drivers are intelligently assisted to carry out safety monitoring.
(5) The intelligent monitoring module can be used for accurately judging whether the leakage occurs or not, and further timely reminding a driver when the leakage occurs.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of a semitrailer equipment operation performance monitoring system based on data analysis.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in one embodiment, a semitrailer equipment operation performance monitoring system based on data analysis is provided, and is characterized in that the system includes:
the road parameter acquisition module is used for acquiring the type of a steering path of a driving road of the semitrailer;
the operation parameter acquisition module is used for acquiring a plurality of dynamic parameters of the semitrailer;
the data analysis module is used for inputting a plurality of dynamic parameters of the semitrailer into the semitrailer model frame to generate dynamic parameter vectors;
and the performance supervision module is used for inputting the dynamic parameter vector into the parameter evaluation model corresponding to the steering path type for evaluation, and supervising the semi-trailer equipment according to the evaluation result.
By adopting the scheme, the steering process of the semi-trailer can be indicated and supervised by acquiring the road state information, the running state information of the semi-trailer and the preset semi-trailer information for analysis, and specifically, the road state information can be acquired by connecting a system with the existing map api interface; the dynamic parameters of the semitrailer can be obtained through related sensors and detection devices on the semitrailer, specifically including semitrailer speed, acceleration, power and the like, through obtaining according to the type of a steering path, a corresponding parameter evaluation model can be selected for evaluation, the obtained dynamic parameters are input into a model frame by combining the semitrailer with the obtained dynamic parameters, dynamic parameter vectors can be further obtained, the dynamic parameter vectors are input into the parameter evaluation model, the current performance of the semitrailer can be further evaluated, drivers are supervised through evaluation results, the driving safety of the semitrailer is further guaranteed, and the supervision of the steering process of the semitrailer is realized.
In the technical scheme, the semi-trailer model frame obtains dynamic parameter vectors according to the acquisition sequence of the dynamic parameters of the vehicle.
As an embodiment of the present invention, the steering path types include left turn, right turn, and u-turn;
the establishment process of the parameter evaluation model comprises the following steps:
acquiring accident vehicles of the same type of the semitrailer under different steering path types;
extracting dynamic parameters corresponding to the accident vehicle and generating corresponding sample dynamic parameter vectors according to a model frame of the accident vehicle;
and training by taking the sample dynamics parameter vector as a negative sample to obtain parameter evaluation models of different steering path types.
By the technical scheme, the steering path types are divided into a left-turn type, a right-turn type and a turning-around type according to the common steering types, establishing corresponding parameter evaluation models for each steering type, specifically, firstly acquiring the dynamic parameters of the same type of accident vehicles of the semitrailer and the accident vehicles when the accident vehicles have faults under different steering types according to big data, acquiring the data in the big data through the data of the butt-joint administration office, meanwhile, generating corresponding sample dynamics parameter vectors according to the model frame, wherein the dynamics parameter vectors have the same acquisition process, training the sample dynamics parameter vectors of accident vehicles under different steering path types as negative samples, and then parameter evaluation models under different steering path types are obtained, so that the accident risk of the vehicle can be judged by obtaining the parameter evaluation models, and a reference basis is further provided for performance parameters in the steering process of the semitrailer.
In the above technical solution, the training mode according to the negative sample can be implemented by using a common machine learning algorithm, which is not described in detail in this embodiment.
As an embodiment of the present invention, the evaluation process is:
inputting the dynamic parameter vector into a parameter evaluation model corresponding to the type of the steering path;
judging a safety risk value of the kinetic parameter vector under the steering path type according to the parameter evaluation model;
the supervision process comprises the following steps:
and when the monitored risk value is larger than a preset threshold value, prompting a driver.
Through the technical scheme, the safety risk value of the kinetic parameter vector under the steering path type is judged according to the parameter evaluation model in the evaluation process, the evaluation is carried out according to the risk value, the risk value is compared with the preset threshold value in the supervision process, obviously, when the risk value is large, the accident risk of the semitrailer existing according to the current kinetic parameters is large, the driver is reminded to adjust the relevant parameters in time in a prompting mode for the driver, the accident can be reduced, the mode plays a role in reminding the driver to pay attention to the steering safety effect on one hand, and on the other hand, the safe steering of the driver can be assisted to a novice driver, and the safety in the steering process is improved.
In addition, the risk value is obtained based on the parameter evaluation model, and the value range is 0% -100%, which represents the probability of risk occurrence.
As an embodiment of the present invention, the system further includes an intelligent monitoring module;
the intelligent monitoring module is connected with monitoring cameras positioned around the semitrailer and used for giving an early warning to a driver and pushing monitoring pictures corresponding to the monitoring cameras when the semitrailer drives according to the optimal steering path.
The semitrailer has the problem of dead angle monitoring in the driving process, because the semitrailer is long in length and large in size, when the semitrailer turns on a narrow road section, the rearview mirrors on two sides cannot ensure complete acquisition of the rear view, so when the semitrailer turns on a narrow road section, a special person is required to cooperatively command the semitrailer below, obviously, the method is not convenient enough, in addition, although the plurality of cameras are arranged on the body of the semitrailer to help a driver to carry out steering monitoring in the prior art, the monitoring method still has the defects, firstly, when the plurality of cameras transmit image information at the same time, the driver cannot immediately correspond each image information to the monitored position, and in the steering process, the feeding direction of the semitrailer is continuously adjusted, so the method is only suitable for small automobiles, is not suitable for the use of a semitrailer.
According to the technical scheme in the embodiment, the intelligent monitoring module is connected with the plurality of monitoring cameras positioned around the semitrailer, monitoring pictures corresponding to the monitoring cameras are pushed to a driver according to the specific steering direction of the semitrailer when the semitrailer steers, monitoring positions needing to be paid attention to are set in advance according to the feeding direction of each position in the steering process of the semitrailer, when the semitrailer steers, the monitoring positions needing to be paid attention to at present can be determined according to the present position of the semitrailer, and then the corresponding monitoring cameras are determined, obviously, the monitoring positions needing to be paid attention to in the steering process can be intelligently judged by the mode, the driver can quickly pay attention to safety dead corners in the steering process by pushing the monitoring pictures, and early warning is given to the driver when potential safety hazards exist by analyzing the monitoring pictures, and further the safety of the semitrailer in the steering process is ensured.
In the technical mode, the structure of the camera and the specific arrangement mode and connection of the camera all adopt the existing mode, but the arrangement of the camera needs to meet the requirement of acquiring the circumferential comprehensive influence picture of the semitrailer, and the problem of monitoring dead angles is avoided.
As an embodiment of the present invention, the process of the early warning is:
acquiring a warning area in the steering process of the semitrailer;
the monitoring picture of the warning area is obtained and recognized, when the potential safety hazard of the warning area is recognized, a driver is warned, and the corresponding monitoring picture is pushed to the driver.
Through the technical scheme, the process of early warning specifically is to obtain the warning area in the driving process of the semitrailer according to the optimal steering path, obtain and identify the monitoring picture of the warning area, and warn the driver when the potential safety hazard exists in the warning area.
As an embodiment of the present invention, the process of identifying is:
collecting key frames in a monitoring picture at specific intervals;
carrying out graying processing on the key frame image;
and extracting the road area contour and the abnormal contour in the road area in the key frame by an edge detection algorithm, and identifying the original image information corresponding to the abnormal contour.
Through the technical scheme, the embodiment provides a specific identification mode, firstly, key frames in a monitoring picture are collected at specific intervals, and graying processing is carried out on key frame images; the image graying processing process can reduce the operation amount of the identification process, and then the road area outline in the key frame and the abnormal outline in the road area are extracted through an edge detection algorithm, specifically, the edge detection algorithm can be realized by adopting the prior art, such as the Candy algorithm, because the image collected by a camera of a semitrailer comprises a semitrailer body image, a road image and an image outside the road in the driving process of the semitrailer, obviously, the content of the road image part can be collected in the safety analysis process, the road area outline is obtained firstly, and then the original image information corresponding to the abnormal outline in the road area outline is identified, on one hand, the identified area can be greatly reduced, the calculation amount is reduced, on the other hand, the mode can avoid the influence of other objects which cannot be in the area on the detection process, and the occurrence of the misjudgment problem is reduced; therefore, the specific identification method of the embodiment can quickly and accurately identify the potential safety hazard in the monitoring picture, and further intelligently assist the driver to carry out safety monitoring.
As an embodiment of the present invention, the intelligent monitoring module is further configured to monitor leakage of the semi-trailer equipment.
The problem that the object leaks exists when the vehicle transports goods, especially when transporting some dregs, the leakage of transporting the object not only can cause harmful effects to the environment, it scatters and still can cause the potential safety hazard for the traffic on the road, and to the semitrailer, because its automobile body is longer, consequently be difficult for being perceived by the navigating mate when there is the goods to leak, and the untimely of object leaking is noticed, can cause economic huge loss on the one hand, on the other hand still can cause harmful effects to the safety that the goods spilled the highway section vehicle and travel, and this embodiment utilizes the monitoring function of intelligent monitoring module, leak to the goods carries out real-time monitoring, and then can in time remind the navigating mate when the goods leaks the problem appearing, timely relative measure of taking through the navigating mate, and then can reduce the harmful effects that the leakage brought.
As an embodiment of the present invention, the process of leak monitoring is as follows:
collecting key frames in a monitoring picture at specific intervals;
carrying out graying processing on the key frame image;
and extracting the contour information of the semi-trailer area in the key frame through an edge detection algorithm, comparing the acquired contour information with the contour information of the semi-trailer area in the previous frame, and judging whether leakage exists according to the comparison result.
Through the technical scheme, a specific monitoring method is provided, specifically, key frame images in a monitoring picture are acquired at intervals, graying processing is carried out on the key frame images, as images of a road and images outside the road are changed all the time during the driving process of a vehicle, objects leaked on the road are difficult to identify under the condition of a relatively fast vehicle speed, in the embodiment, outline information of a semi-trailer area in the key frame is acquired through an edge algorithm, and as a camera is fixed relative to a semi-trailer body, image information of a vehicle body part is relatively fixed, the acquired outline information is compared with outline information of the semi-trailer area in the previous frame, when the change degree is large, the part is shielded, namely, the leakage problem is stated, and further, through the monitoring method in the embodiment, whether the leakage problem occurs or not can be judged by using an intelligent monitoring module, and then timely remind the driver when leakage occurs.
It should be noted that, the camera in this embodiment is disposed laterally with respect to the semi-trailer body, and is capable of acquiring image information around the semi-trailer body, including a partial image of the semi-trailer body.
As an embodiment of the present invention, the process of comparing the profile information is:
overlapping and comparing the collected semi-trailer area contour line with the semi-trailer area contour line in the previous frame, calculating the length of the non-overlapping contour line, and comparing the length L of the non-overlapping contour line with a preset threshold value
And (3) carrying out comparison:
if it is
Judging that leakage exists;
otherwise, judging that no leakage exists.
By the technical scheme, a mode of comparing contour information is provided,specifically, the collected semitrailer regional contour line is subjected to overlapping comparison with the semitrailer regional contour line in the previous frame, when the position of the obtained regional contour line is within a specific deviation range, the contour line is considered to be overlapped, otherwise, the contour line is not overlapped with the contour line of the semitrailer in the previous frame, the region is shielded by other objects, the risk of object leakage is high, and meanwhile, in order to avoid the influence of errors, the length L of the non-overlapping contour line and a preset threshold value are used for comparing the length L of the non-overlapping contour line with the preset threshold value
Performing comparison when
The leakage problem is found in the time-out judgment, and then the leakage problem can be more accurately judged.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (9)
1. A semitrailer device operational performance monitoring system based on data analysis, the system comprising: the road parameter acquisition module is used for acquiring the type of a steering path of a driving road of the semitrailer; the operation parameter acquisition module is used for acquiring a plurality of dynamic parameters of the semitrailer; the data analysis module is used for inputting a plurality of dynamic parameters of the semitrailer into the semitrailer model frame to generate dynamic parameter vectors; and the performance supervision module is used for inputting the dynamic parameter vector into the parameter evaluation model corresponding to the steering path type for evaluation, and supervising the semi-trailer equipment according to the evaluation result.
2. The data analysis-based semitrailer equipment operation performance monitoring system of claim 1, wherein the steering path types include left turn, right turn, and U-turn; the establishing process of the parameter evaluation model comprises the following steps: acquiring accident vehicles of the same type of the semitrailer under different steering path types; extracting dynamic parameters corresponding to the accident vehicle and generating corresponding sample dynamic parameter vectors according to a model frame of the accident vehicle; and training by taking the sample dynamics parameter vector as a negative sample to obtain parameter evaluation models of different steering path types.
3. The semitrailer device operation performance monitoring system based on data analysis according to claim 1, characterized in that the evaluation process is as follows: inputting the dynamic parameter vector into a parameter evaluation model corresponding to the type of the steering path; judging a safety risk value of the kinetic parameter vector under the steering path type according to the parameter evaluation model; the supervision process comprises the following steps: and when the monitored risk value is larger than a preset threshold value, prompting a driver.
4. The semitrailer equipment operation performance monitoring system based on data analysis of claim 1, further comprising an intelligent monitoring module; the intelligent monitoring module is connected with monitoring cameras positioned around the semitrailer and used for giving an early warning to a driver and pushing monitoring pictures corresponding to the monitoring cameras when the semitrailer drives according to the optimal steering path.
5. The semitrailer device operation performance monitoring system based on data analysis of claim 4, wherein the early warning process is as follows: acquiring a warning area in the steering process of the semitrailer; the monitoring picture of the warning area is obtained and recognized, and when the potential safety hazard exists in the warning area, the driver is warned and the corresponding monitoring picture is pushed to the driver.
6. The semitrailer device operation performance monitoring system based on data analysis according to claim 5, characterized in that the identification process is as follows: collecting key frames in a monitoring picture at specific intervals; carrying out graying processing on the key frame image; and extracting the road area contour and the abnormal contour in the road area in the key frame by an edge detection algorithm, and identifying the original image information corresponding to the abnormal contour.
7. The semitrailer equipment operation performance monitoring system based on data analysis of claim 4, wherein the intelligent monitoring module is further used for leakage monitoring of semitrailer equipment.
8. The semitrailer equipment operational performance monitoring system based on data analysis according to claim 7, wherein the process of leakage monitoring is as follows: collecting key frames in a monitoring picture at specific intervals; carrying out graying processing on the key frame image; and extracting the contour information of the semi-trailer area in the key frame through an edge detection algorithm, comparing the acquired contour information with the contour information of the semi-trailer area in the previous frame, and judging whether leakage exists according to the comparison result.
9. The semitrailer equipment operation performance monitoring system based on data analysis of claim 8, wherein the profile information is compared by: overlapping and comparing the collected semi-trailer area contour line with the semi-trailer area contour line in the previous frame, calculating the length of the non-overlapping contour line, and comparing the length L of the non-overlapping contour line with a preset threshold value
And (3) carrying out comparison: if it is
Judging that leakage exists; otherwise, judging that no leakage exists.
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| CN202210987209.6A CN115063055A (en) | 2022-08-17 | 2022-08-17 | Semitrailer equipment operation performance supervisory systems based on data analysis |
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