CN111380693A - Trailer state detection method and trailer state detection device - Google Patents

Trailer state detection method and trailer state detection device Download PDF

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Publication number
CN111380693A
CN111380693A CN201811616249.XA CN201811616249A CN111380693A CN 111380693 A CN111380693 A CN 111380693A CN 201811616249 A CN201811616249 A CN 201811616249A CN 111380693 A CN111380693 A CN 111380693A
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trailer
state
model
vibration
parameter
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CN201811616249.XA
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Chinese (zh)
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张志恒
张鹤高
江天
夏曙东
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Beijing Youhang Information Technology Co ltd
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Beijing Youhang Information Technology Co ltd
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Priority to CN201811616249.XA priority Critical patent/CN111380693A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/007Wheeled or endless-tracked vehicles

Abstract

The embodiment of the invention discloses a trailer state detection method and a trailer state detection device. The trailer state detection method comprises the following steps: detecting trailer vibration parameters in a preset time period; inputting trailer vibration parameters within the preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state; the trailer state model determines the trailer state based on the trailer vibration parameter; when the trailer state of the trailer changes, the trailer state is sent out, so that the interaction frequency of the sensor and the monitoring end is reduced, and the communication and maintenance cost is saved.

Description

Trailer state detection method and trailer state detection device
Technical Field
The embodiment of the invention relates to the automobile transportation technology, in particular to a trailer state detection method and a trailer state detection device.
Background
The drop and hang transportation is an organization mode that the automobile drops or hangs a designated trailer at each loading and unloading operation point according to a preset plan and continues to run. The drop and pull transportation can shorten the down time of the truck (or tractor) to the lowest limit, thereby utilizing the traction capacity to the maximum extent and improving the transportation efficiency.
In drop-and-pull transportation, the tractor can be separated from the trailer, the trailer is used as a loading body of goods, and the position, the state and the like of the trailer are concerned. At present, a plurality of sensors are generally installed in a trailer, each sensor reports collected data to a monitoring end, and the monitoring end determines the trailer state based on the data collected by each sensor. The monitoring end is not integrated on the trailer and is connected with the sensor in a wireless communication mode. And the conditions that the sensors acquire more and frequent data, the network communication is unstable and the like cause that the trailer state determining scheme needs a large amount of manpower and material resources for maintenance.
Disclosure of Invention
The invention provides a trailer state detection method and a trailer state detection device, which are used for reducing the interaction frequency of a sensor and a monitoring end and saving the communication and maintenance cost.
In a first aspect, an embodiment of the present invention provides a trailer state detection method, including:
detecting trailer vibration parameters in a preset time period;
inputting trailer vibration parameters within the preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state;
the trailer state model determines the trailer state based on the trailer vibration parameter;
and when the trailer state of the trailer changes, sending the trailer state.
Further, before the step of detecting the trailer vibration parameter within the preset time period, establishing a trailer state model;
the establishing of the trailer state model comprises the following steps:
acquiring trailer vibration parameters of the trailer in different states as model building data;
and establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
Further, after the step of establishing a function regarding a trailer shock parameter and the trailer state corresponding thereto based on the model establishing data, as a trailer state model, the step of establishing a function regarding a trailer shock parameter and the trailer state corresponding thereto further comprises:
acquiring trailer vibration parameters of the trailer in different states as model test data;
inputting the model test data into the trailer state model to verify the accuracy of the trailer state model;
if the accuracy of the trailer state model is lower than a set threshold value, correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter;
and inputting the model test data into the trailer state model after correction to verify the accuracy of the trailer state model after correction until the accuracy of the trailer state model after correction is greater than or equal to a set threshold value.
Further, the trailer vibration parameters include acceleration of the trailer in three dimensions and a frequency of acquisition of the acceleration.
Further, the trailer vibration parameters are collected through a vibration sensor.
Further, when the trailer state of the trailer changes, the trailer state is sent out, and the method further comprises the following steps,
and when the trailer state of the trailer changes, sending the trailer state to a monitoring end.
In a second aspect, an embodiment of the present invention further provides a trailer status detection apparatus, including:
the trailer vibration parameter detection module is used for detecting trailer vibration parameters in a preset time period;
a trailer vibration parameter input module, configured to input a trailer vibration parameter within the preset time period into a trailer state model, where the trailer state model includes a function of the trailer vibration parameter and a trailer state, and the trailer state includes at least one of a stop state, a loading state, a unloading state, and a driving state;
a trailer state determination module for determining the trailer state based on the trailer shock parameter by the trailer state model;
and the trailer state sending module is used for sending out the trailer state when the trailer state of the trailer changes.
Further, the system also comprises a trailer state model establishing module;
the trailer state model establishing module is used for acquiring trailer vibration parameters of the trailer in different states and taking the trailer vibration parameters as model establishing data; and establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
The system further comprises a trailer state model correction module, a model test module and a control module, wherein the trailer state model correction module is used for acquiring trailer vibration parameters of a trailer in different states as model test data; inputting the model test data into the trailer state model to verify the accuracy of the trailer state model; if the accuracy of the trailer state model is lower than a set threshold value, adjusting and correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter; and repeatedly executing the step of inputting the model test data into the trailer state model to verify the accuracy of the trailer state model until the accuracy of the trailer state model is greater than or equal to a set threshold value.
Further, the trailer vibration parameters include acceleration of the trailer in three dimensions and a frequency of acquisition of the acceleration.
The trailer vibration parameter in the preset time period is detected; inputting trailer vibration parameters within the preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state; the trailer state model determines the trailer state based on the trailer vibration parameter; when the trailer state of the trailer changes, the trailer state is sent out, the problem that the existing trailer state determination scheme needs a large amount of manpower and material resources to maintain is solved, the interaction frequency of the sensor and the monitoring end is reduced, and the communication and maintenance cost is saved.
Drawings
Fig. 1 is a flow chart of states of a trailer in a complete drop and pull task according to the present invention;
fig. 2 is a flowchart of a trailer status detection method according to an embodiment of the present invention;
fig. 3 is a flowchart of a trailer state model building method according to an embodiment of the present invention;
fig. 4 is a flowchart of a trailer status detection method according to a second embodiment of the present invention;
FIG. 5 is a diagram of a training model according to a second embodiment of the present invention;
fig. 6 is a block diagram of a trailer status detection apparatus according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flow chart of states of a trailer in a complete drop and pull task according to the present invention. Referring to fig. 1, a complete throwing task generally comprises a short barge and a main trailer, and the trailer states are stop, driving, stop, loading, stop, driving, stop, unloading and stop in turn. The whole transportation process of the trailer can be monitored by detecting the state conversion of the trailer in real time, and the method has important significance for time efficiency assessment, exception handling (such as late warning) and the like.
Example one
Fig. 2 is a flowchart of a trailer status detection method according to an embodiment of the present invention. The trailer state detection method provided by the embodiment is completed by the host integrated on the trailer. Referring to fig. 2, the trailer status detection method includes:
and S101, detecting trailer vibration parameters in a preset time period.
Optionally, the trailer vibration parameters include acceleration of the trailer in three dimensions (e.g., acceleration in an X direction, acceleration in a Y direction, and acceleration in a Z direction, where any two of the X direction, the Y direction, and the Z direction are perpendicular to each other) and a frequency of acquisition of the acceleration. It should be noted that, if the acquisition frequency of the acceleration is different, the acceleration in the X direction, the acceleration in the Y direction, and the acceleration in the Z direction may exhibit different laws.
The detection device for the trailer vibration parameter can be various, and illustratively, the trailer vibration parameter is acquired through a vibration sensor.
And S102, inputting trailer vibration parameters in a preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state.
Here, the "parked state" means that the trailer is in the prohibited state and the loading and unloading are not performed.
And S103, determining the trailer state based on the trailer vibration parameter by using the trailer state model.
And S104, when the trailer state of the trailer changes, sending out the trailer state.
The phrase "the trailer state of the trailer changes" specifically means that the state of the trailer changes from stop to loading, from loading to stop, from stop to unloading, from unloading to stop, from running to stop, and from stop to running.
Optionally, the specific implementation method of this step may be that when the trailer state of the trailer changes, the trailer state is sent to a monitoring end (such as a remote data control center or a mobile phone).
Optionally, the trailer status is sent out through a wireless communication mode such as a GPRS/3G/4G/5G technology.
The trailer vibration parameter in the preset time period is detected; inputting trailer vibration parameters in a preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state; the trailer state model determines the trailer state based on the trailer vibration parameter; when the trailer state of trailer changes, send out the trailer state, the essence that sets up like this is, obtain the trailer state by the host computer based on trailer vibrations parameter to only when the trailer state of trailer changes, send the trailer state to the control end, in order to realize reducing sensor and control end interaction frequency, solved present trailer state and confirmed the problem that the scheme needs a large amount of manpower and materials to maintain, realized reducing sensor and control end interaction frequency, practice thrift the effect of communication and maintenance cost.
In addition, among the above-mentioned technical scheme, trailer state detects and only needs to utilize this kind of sensor of vibrations sensor just can realize, need not set up the sensor of multiple different grade type, is favorable to reducing the consumption, and vibrations sensor itself belongs to the low-power consumption mode operation, and integrated in the host computer, power saving more.
On the basis of the above technical solution, optionally before S101, a trailer state model is further established.
There are various methods of establishing the trailer state model. Fig. 3 is a flowchart of a trailer state model establishing method according to an embodiment of the present invention. With continued reference to fig. 3, the trailer status model building method includes:
s201, acquiring trailer vibration parameters of the trailer in different states as model building data.
And S202, establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
Due to the fact that different trailer performance parameters are different and the volumes are different, the trailer state model can be established for each trailer in a targeted mode, and therefore the result of the subsequently determined trailer state is more accurate.
Optionally, with continued reference to fig. 3, after S202, the method may further include:
and S203, acquiring trailer vibration parameters of the trailer in different states as model test data.
It should be noted that the data used as the model test data in S203, the data used as the model building data in S201, and the trailer vibration parameter detected in S101 are different data, that is, data collected in different time periods.
Optionally, the data used as model test data in S203, the data used as model build data in S201, and the trailer shock parameters detected in S101 are all collected by the same shock sensor.
And S204, inputting the model test data into the trailer state model to verify the accuracy of the trailer state model.
And S205, if the accuracy of the trailer state model is lower than a set threshold, correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter.
The set threshold value can be set according to the user requirement, for example, it can be 80% or 90%.
Here, "correcting the trailer vibration parameter and the function of the trailer state corresponding to the trailer vibration parameter in the trailer state model" includes two aspects: firstly, adjusting and correcting at least one of a calculation method, a structure and a calculation parameter of a trailer state detection model; and secondly, retraining to form a new trailer state detection model.
And S206, inputting the model test data into the corrected trailer state model to verify the accuracy of the corrected trailer state model until the accuracy of the corrected trailer state model is greater than or equal to a set threshold.
The model test data in S206 and the model test data in S204 may be the same data or different data, which is not limited in this application.
By the arrangement, the accuracy of the trailer state judgment of the trailer state model can be improved.
Example two
Fig. 4 is a flowchart of a trailer status detection method according to a second embodiment of the present invention. The present embodiment is a specific example of the first embodiment. Referring to fig. 4, the trailer status detection method includes:
first, a host (for example, the model of the host is MT2503D) with a shock sensor (for example, the model of the shock sensor is LIS2DH12) is installed on the trailer, a shock detection mode is started, and shock data (including acceleration of the trailer in the X direction, acceleration in the Y direction, acceleration in the Z direction, and acquisition frequency of the acceleration) are stored in an SD card of the host.
Secondly, data acquisition is carried out for a period of time, in the actual business operation process, a customer or a driver can click the APP, and the starting loading time, the loading finishing time, the starting unloading time, the unloading finishing time, the departure time and the arrival time of each task of the trailer are recorded.
Again, after a period of data acquisition (e.g., two months, for example), the acquired vibration data is classified into 4 categories according to the time node of the task record: a stop state, a loading state, a unloading state, and a driving state. The classification model is trained by machine learning methods (illustratively, such as artificial neural network ANN). Fig. 5 is a schematic diagram of a training model according to a second embodiment of the present invention. For example, referring to fig. 5, the inputs are the acceleration of the trailer in the X direction, the acceleration in the Y direction, and the acceleration in the Z direction, and the output is the trailer state.
And finally, writing the trained model into a host, and identifying the trailer state by the host through calculating data acquired by the vibration sensor in real time. When the trailer state changes, the trailer state is reported to the monitoring end through a wireless communication module (such as a GPRS module).
According to the method, the vibration sensor is fully utilized to collect data from an actual service scene, the classification model is obtained in a machine learning mode, and the trailer state can be obtained in real time.
EXAMPLE III
Fig. 6 is a block diagram of a trailer status detection apparatus according to a third embodiment of the present invention. Referring to fig. 6, the trailer status detection apparatus includes a trailer shock parameter detection module 310, a trailer shock parameter input module 320, a trailer status determination module 330, and a trailer status transmission module 340.
The trailer vibration parameter detection module 310 is configured to detect a trailer vibration parameter within a preset time period;
a trailer vibration parameter input module 320, configured to input the trailer vibration parameter within the preset time period into a trailer state model, where the trailer state model includes a function of the trailer vibration parameter and a trailer state, and the trailer state includes at least one of a stop state, a loading state, a unloading state, and a driving state;
a trailer status determination module 330 for determining the trailer status based on the trailer shock parameter by the trailer status model;
and a trailer status sending module 340, configured to send out the trailer status when the trailer status of the trailer changes.
The product can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Further, the system also comprises a trailer state model establishing module;
the trailer state model establishing module is used for acquiring trailer vibration parameters of the trailer in different states and taking the trailer vibration parameters as model establishing data; and establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
The system further comprises a trailer state model correction module, a model test module and a control module, wherein the trailer state model correction module is used for acquiring trailer vibration parameters of a trailer in different states as model test data; inputting the model test data into the trailer state model to verify the accuracy of the trailer state model; if the accuracy of the trailer state model is lower than a set threshold value, adjusting and correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter; and repeatedly executing the step of inputting the model test data into the trailer state model to verify the accuracy of the trailer state model until the accuracy of the trailer state model is greater than or equal to a set threshold value.
Further, the trailer vibration parameters include the acceleration of the trailer in three dimensions and the acquisition frequency of the acceleration.
Further, the first trailer vibration parameter detection module and the second trailer vibration parameter detection unit are both vibration sensors.
Further, the trailer state sending module is used for sending the trailer state to the monitoring end when the trailer state of the trailer changes.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious modifications, rearrangements, combinations and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A trailer condition detection method, comprising:
detecting trailer vibration parameters in a preset time period;
inputting trailer vibration parameters within the preset time period into a trailer state model, wherein the trailer state model comprises functions of the trailer vibration parameters and trailer states, and the trailer states comprise at least one of a stop state, a loading state, a unloading state and a driving state;
the trailer state model determines the trailer state based on the trailer vibration parameter;
and when the trailer state of the trailer changes, sending the trailer state.
2. The trailer status detection method as claimed in claim 1,
before the step of detecting the trailer vibration parameters in the preset time period is executed, a trailer state model is established;
the establishing of the trailer state model comprises the following steps:
acquiring trailer vibration parameters of the trailer in different states as model building data;
and establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
3. The trailer status detection method as claimed in claim 2,
after the step of establishing a function regarding a trailer shock parameter and the trailer state corresponding thereto based on the model establishing data is executed, the step of using the function regarding the trailer shock parameter and the trailer state corresponding thereto as a trailer state model further comprises:
acquiring trailer vibration parameters of the trailer in different states as model test data;
inputting the model test data into the trailer state model to verify the accuracy of the trailer state model;
if the accuracy of the trailer state model is lower than a set threshold value, correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter;
and inputting the model test data into the trailer state model after correction to verify the accuracy of the trailer state model after correction until the accuracy of the trailer state model after correction is greater than or equal to a set threshold value.
4. A trailer condition detection method as claimed in any one of claims 1-3, wherein the trailer shock parameters comprise the acceleration of the trailer in three dimensions and the frequency of acquisition of the acceleration.
5. The trailer status detection method as claimed in claim 4,
the trailer vibration parameters are collected through a vibration sensor.
6. The trailer status detection method as claimed in claim 1,
when the trailer state of the trailer changes, the trailer state is sent out, and the method also comprises the following steps,
and when the trailer state of the trailer changes, sending the trailer state to a monitoring end.
7. A trailer condition detection apparatus, comprising:
the trailer vibration parameter detection module is used for detecting trailer vibration parameters in a preset time period;
a trailer vibration parameter input module, configured to input a trailer vibration parameter within the preset time period into a trailer state model, where the trailer state model includes a function of the trailer vibration parameter and a trailer state, and the trailer state includes at least one of a stop state, a loading state, a unloading state, and a driving state;
a trailer state determination module for determining the trailer state based on the trailer shock parameter by the trailer state model;
and the trailer state sending module is used for sending out the trailer state when the trailer state of the trailer changes.
8. The trailer condition detection apparatus as in claim 7, further comprising a trailer condition model building module;
the trailer state model establishing module is used for acquiring trailer vibration parameters of the trailer in different states and taking the trailer vibration parameters as model establishing data; and establishing a function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter based on the model establishing data, and taking the function of the trailer vibration parameter and the trailer state corresponding to the trailer vibration parameter as a trailer state model.
9. The trailer state detection device as claimed in claim 8, further comprising a trailer state model correction module for obtaining trailer vibration parameters of the trailer in different states as model test data; inputting the model test data into the trailer state model to verify the accuracy of the trailer state model; if the accuracy of the trailer state model is lower than a set threshold value, adjusting and correcting the trailer vibration parameter in the trailer state model and a function of the trailer state corresponding to the trailer vibration parameter; and repeatedly executing the step of inputting the model test data into the trailer state model to verify the accuracy of the trailer state model until the accuracy of the trailer state model is greater than or equal to a set threshold value.
10. Trailer condition detection apparatus as claimed in any of the claims 7-9, characterized in that the trailer shock parameters comprise the acceleration of the trailer in three dimensions and the acquisition frequency of the acceleration.
CN201811616249.XA 2018-12-27 2018-12-27 Trailer state detection method and trailer state detection device Pending CN111380693A (en)

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