KR20200106422A - Method for automat-ically adjusting deviation of weigh-in-motion based on wireless communica-tion and apparatus thereof - Google Patents

Abstract

An object of the present invention is to provide a weigh-in-motion system capable of automatically adjusting a deviation. The weigh-in-motion system installed on a road according to one embodiment of the present invention includes a weigh-in-motion control device. The weigh-in-motion control device receives location information and vehicle information of a test vehicle through wireless communication with the test vehicle and selects vehicles for weigh-in-motion deviation adjustment based on the received location information and vehicle information.

Description

Wireless communication-based automatic deviation adjustment method and device {METHOD FOR AUTOMAT-ICALLY ADJUSTING DEVIATION OF WEIGH-IN-MOTION BASED ON WIRELESS COMMUNICA-TION AND APPARATUS THEREOF}

The present invention relates to a method and an apparatus for automatically adjusting the deviation of a weigh-in-motion (WIM), and more particularly, to a method and apparatus for automatically adjusting the deviation of an axle weight based on wireless communication.

With the development of various technologies, research and development of unmanned control systems are being actively conducted.

In relation to the traditional deviation adjustment process, the manager at the site where the axle loader is installed connects a terminal to the control device of the axle loader, obtains driving test data to the test vehicle, calculates the deviation adjustment value, and then reflects it back to the control device. It was the way to do it. However, this traditional deviation adjustment method has a problem that requires a lot of time and manpower.

Therefore, there is a need for a more efficient maintenance method for periodic deviation adjustment in order to maintain the accuracy of the weight lifting system.

An object of the present invention is to provide a shaft weight system capable of automatically adjusting the deviation.

Another object of the present invention is to provide an efficient maintenance method by reducing the time and manpower requirements through the automatic deviation adjustment possible weight lifting system.

Another object of the present invention is to provide an apparatus for implementing the above-described method.

The technical problems to be achieved in the present invention are not limited to the above technical problems, and other technical problems that are not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description.

In an embodiment of the present invention for solving the above-described problem, the axle system installed on the road receives location information and vehicle information of a test vehicle through wireless communication, and receives the received location information and vehicle. It characterized in that it comprises a; weight weight control device for selecting a vehicle for the weight deviation adjustment based on the information.

The weightlifter control device according to an embodiment of the present invention transmits the detection data and the number of deviation selection to the test vehicle, and calculates the deviation of the weightlifter based on the transmitted detection data and the weight information of the test vehicle. Characterized in that.

The weightlifter control apparatus according to an embodiment of the present invention is characterized in that the deviation of the weightlifter is automatically adjusted based on a predetermined tolerance and the number of travels.

When the position information and vehicle information of the test vehicle are received, the weightlift control device according to an embodiment of the present invention starts tracking the movement of the test vehicle, and based on the received information, It is characterized in that the estimated time to reach the axis weight sensor detection unit is calculated and used.

The weightlifter control apparatus according to an embodiment of the present invention receives a test end message from the test vehicle and performs a test of the corresponding lane when the transmitted selection number matches the number of driving previously input to the test vehicle. It is characterized in that it ends.

In an exemplary embodiment of the present invention, a method for adjusting a deviation in an axle loader system installed on a road includes: receiving location information and vehicle information of a test vehicle through wireless communication with the test vehicle; And selecting a vehicle for adjusting a deviation of a shaft weight based on the received location information and vehicle information.

According to an embodiment of the present invention, the step of transmitting the detection data and the number of deviation selection to the test vehicle; And calculating a deviation of the axle weight based on the transmitted detection data and the weighing information of the test vehicle.

According to an embodiment of the present invention, the step of automatically adjusting the deviation of the shaft weight based on the predetermined tolerance and the number of travel; characterized in that it further comprises.

According to an embodiment of the present invention, when the location information and vehicle information of the test vehicle are received, movement tracking of the test vehicle is started, and based on the received information, it reaches to the axis weight sensor detection unit of the axle loader. It characterized in that it further comprises; calculating the expected time.

According to an embodiment of the present invention, if the number of selections transmitted coincides with the number of driving times previously input to the test vehicle, receiving a test end message from the test vehicle and ending the test of the corresponding lane; It characterized in that it comprises.

According to the present invention as described above, the effects described below can be obtained. However, the effect obtained through the present invention is not limited thereto.

First, according to the present invention, there is an effect of providing a shaft weight system capable of automatically adjusting the deviation.

Second, according to the present invention, there is an effect of providing an efficient maintenance method by reducing the time and manpower requirements through the automatic deviation adjustment possible weight lifting system.

Third, according to the present invention, there is an effect of providing an apparatus for implementing the above-described method.

1 is a block diagram of an unmanned overloading control system according to an embodiment of the present invention.
2 is a detailed configuration diagram of a shaft weight system according to an embodiment of the present invention.
3 is a diagram showing a sensor for measuring axial weight according to an embodiment of the present invention.
4 to 6 are views showing an automatic deviation adjustment system for a shaft weight according to an embodiment of the present invention.
7 is a flow chart of a method for explaining a method for adjusting automatic deviation of a shaft weight according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description to be disclosed hereinafter together with the accompanying drawings is intended to describe exemplary embodiments of the present invention, and is not intended to represent the only embodiments in which the present invention may be practiced.

These embodiments are provided only to make the posting of the present invention complete, and to fully inform the scope of the invention to those skilled in the art to which the present invention pertains, and the present invention will be defined by the scope of the claims. Only.

In some cases, in order to avoid obscuring the concept of the present invention, well-known structures and devices may be omitted or illustrated in a block diagram form centering on core functions of each structure and device. In addition, the same components will be described with the same reference numerals throughout the present specification.

Throughout the specification, when a part is said to "comprising or including" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary. do.

In addition, the term "... unit" described in the specification means a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. Furthermore, "a or an", "one", and similar related terms are both singular and plural in the context describing the present invention, unless otherwise indicated herein or clearly contradicted by the context. It can be used as a meaning including.

In addition, specific terms used in the embodiments of the present invention are provided to aid in understanding of the present invention, and unless otherwise defined, all terms used herein including technical or scientific terms are It has the same meaning as commonly understood by those of ordinary skill in the art to which it belongs. The use of these specific terms may be changed in other forms without departing from the technical spirit of the present invention.

In the present specification, an unmanned overloading control system and a Weigh-In-Motion (WIM) system therefor are disclosed with reference to the accompanying drawings. On the other hand, the present invention will be described in detail an embodiment of automatically adjusting the deviation of the WIM system based on wireless communication.

On the other hand, even if it is described only by naming it as a shaft weight in the present specification, it is used to include a high-speed shaft weight (HS-WIM).

1 is a configuration diagram of an unmanned overloading control system according to an embodiment of the present invention, and FIG. 2 is a detailed configuration diagram of an axle loader system according to an embodiment of the present invention.

Referring to FIG. 1, the unmanned overloading control system 100 may include an axle loader system 110, a vehicle recognition and information collection system 120, a vehicle information display system 130, and the like.

Here, in relation to the present invention, at least one of the vehicle recognition and information collection system 120 and the vehicle information display system 130 may not be included in the unmanned overloading control system 100. On the other hand, another configuration not shown may be further included to configure the unmanned overloading control system 100.

In addition, in FIG. 1, for example, each component system constituting the unmanned overloading control system 100 is illustrated as a single configuration, but is not limited thereto. For example, the unmanned overloading control system 100 is a combination of a plurality of axle system 110 shown in FIG. 1, at least one vehicle recognition and information collection system 120 and at least one vehicle information display system 130. ) Can also be implemented.

The axle weight system 110 includes an axis weight measurement sensor unit 111, a wheel position reading sensor unit 112, a vehicle detection and classification sensor unit (loop, loop) 113, and a temperature sensor unit 114 for compensation during axis load. ), and at least one of the data control device 115 and the like.

The configuration of the axle system 110 will be described in more detail with reference to FIGS. 1 and 2 as follows. Here, for convenience, a single lane will be described as an example. Further, the configuration of the axle system 110 in each lane may or may not be the same. For example, in relation to speeding enforcement, the normal overtaking lane and the driving lane may not have the same configuration of the axle system 110.

The axis weight measurement sensor unit 111 senses an axis weight (over axis weight) and a total weight (total weight weight) of the vehicle being driven. In FIG. 2, two sensors for measuring a first axial load and two sensors for measuring a second axial load are illustrated, but are not limited thereto. Each axis weight measurement sensor acquires a sensing value according to the transverse response characteristic of the sensor. In the above, the transverse direction means a transverse direction based on the vehicle driving direction. In addition, the sensing value according to the transverse response characteristic of the sensor may indicate a sensing value according to left bias, center, and right bias. Measurement errors can be reduced by correcting the measurement value through the axial weight measurement sensor based on the sensing value according to the transverse response characteristic of the sensor.

The sensor of the axial weight measurement sensor unit 111 may use, for example, any one of the sensors of the drawing shown in FIG. 3. In this case, the characteristics of each sensor are different, and the same sensor or different sensors may be used for both the first axial weight measurement sensor and the second axial weight measurement sensor shown in FIG. 2.

The piezo film type sensor has signal characteristics after installation of the package as shown in Fig. 3(a), and as shown in Fig. 3(b), the accuracy is about +-7%, low cost, and temperature and transverse It has a sensor characteristic with a high directional impact error, and as shown in (c) of FIG. 3, the traffic information collecting device and the high-speed axle are the main targets, and as shown in (d) of FIG. 3, the total weight is + -15% or more, shaft weight has a system accuracy of +-25% or more.

The piezoceramic type sensor has a signal characteristic after installation of the package as shown in Fig. 3(a), and as shown in Fig. 3(b), the accuracy is about +-7%, low to mid-priced, and temperature and horizontal It has a sensor characteristic with a high directional impact error, and a high-speed shaft is the main application object as shown in (c) of FIG. 3, and the total weight is within +10 to 15%, as shown in (d) of FIG. 3, The shaft weight has a system accuracy within +-20 to 25%.

The piezo-Qualtz type sensor has signal characteristics after installation of the package as shown in Fig. 3(a), and as shown in Fig. 3(b), the accuracy is about +-2%, expensive, and temperature and transverse It has a sensor characteristic with a low directional impact error, and as shown in (c) of FIG. 3, a high-speed axle is a major application object, and the total weight is +-5 to 7% as shown in (d) of FIG. 3 Within, the shaft weight has a system accuracy within +-10 to 14%.

Any one of the three sensors described above can be selected. It is recommended that the sensor only shows the response of the deformation of the pavement due to the traffic load, and the pavement may have different deformations depending on the characteristics even with the same load, and it is recommended to determine with care that it always behaves in response to temperature changes.

Typically, the response processing for the above-described sensor may be performed as follows. Taking a fixed axle, for example, it is possible to measure the weight of a vehicle by converting the size (height) of the signal during loading into weight, which is similar to the measurement principle of a general scale. Alternatively, the integrated area of the signal waveform sensed by the sensor is converted into weight, which can improve accuracy in response to a change in speed.

The wheel position reading sensor unit 112 functions to assist sensor measurement values and detect an avoided vehicle. An example of such a sensor may be a wandering sensor. At this time, instead of measuring through one extended wandering sensor in one lane, a plurality of wandering sensors are installed to correspond to each wheel of a vehicle, for example, to reduce or eliminate mutual interference between the left and right wheels through the wandering sensor, It is possible to read the lateral driving position of each wheel, read the track of each wheel axis, and distinguish between single and double wheels of each tire. Through this, by analyzing the characteristics of the lateral load distribution, it is possible to distinguish the vehicle model by high-loading, and to analyze the vehicle deviating from the lane.

The vehicle detection and classification sensor unit (loop) 113 functions to process vehicle speed and basic vehicle type information. In FIG. 2, a first loop and a second loop are illustrated, and each of the loops may be disposed before the axis weight measurement sensor based on the vehicle driving direction. However, it is not limited thereto. In addition, each loop may be formed to have an appropriate width according to each lane.

Referring to FIG. 1, the temperature sensor unit 114 for compensating the axial load may compensate the sensor value by comparing the upper temperature and the lower temperature through a temperature sensor. For example, when the upper temperature is higher than the lower temperature, the sensor value is overestimated, and in the opposite case, the sensor value is underestimated to correct the measurement value, thereby reducing the measurement error of the measured value.

The data control device 115, referring to FIG. 2, includes at least one of a terminal box 115 and a collection device 210. For convenience, taking the collecting device 210 as an example, the terminal box 115 is connected to each sensor unit to receive a sensing value of the corresponding sensor unit, and the sensing value of each sensor unit thus received is transmitted to the collecting device 210. Here, the collection device 210 may collect sensing data of all terminal boxes connected through any one of the terminal boxes. However, it is not limited thereto. For convenience, in FIG. 2, one axis weight measurement sensor unit 111 installed in each lane, one wheel position reading sensor unit 112, one vehicle detection and classification sensor unit 113, and one temperature sensor unit for correction of shaft weight. Although connected to (114), it is not necessarily limited thereto. For example, in FIG. 2, two terminal boxes are shown, a first terminal box and a second terminal box, and the sensing data of the first terminal box is received from the second terminal box and transmitted to the collecting device 210 together, but directly from each terminal box. Sensing data may be transmitted to the collection device 210. Meanwhile, the terminal box 115 is omitted, and sensing data may be directly transmitted from each sensor unit to the collection device 210. On the other hand, the collecting device 210 is described as being connected by wire at a predetermined distance from the terminal box, but is not limited thereto. In addition, the terminal box(s) may be installed as it is, but the collecting device 210 does not exist, and sensing data may be transmitted to a remotely located collecting device based on wired or wireless communication.

The collection device 210 may be implemented in the form of a remotely located control terminal, a control device, or a server. These hardware are terminal devices, terminals, mobile stations (MSS), mobile subscriber stations (MSS), subscriber stations (SS), advanced mobile stations (AMS), wireless terminals (WTs), machine-type communication (MTC). At least one of a device, a machine-to-machine (M2M) device, and a device-to-device (D2D) device may be used as an embodiment. Of course, this is only an example, and the terminal in the present invention should be interpreted as a concept including all devices capable of transmitting data or signals that are currently developed and commercialized or to be developed in the future, in addition to the above-described examples. Alternatively, in the above, the device may be named by various names such as a processor and a system, and may be a device that receives, collects, processes, and outputs at least one of various information sensed about a vehicle. Depending on the embodiment, the device 210 may mean hardware implemented by software such as firmware for the present invention.

In addition, the collection device 210 may be implemented as a device indicating an object capable of data communication, such as a personal computer (PC), a notebook computer, and a tablet personal computer (tablet PC).

Meanwhile, data communication may be performed between each component of FIGS. 1 to 2 through a communication network using at least one wired or wireless communication protocol. In other words, each component in the unmanned overloading control system 100 or the weight lifting system 110 may perform data communication with each other using at least one communication protocol. In this case, for the data communication, a dedicated communication protocol may be defined and used according to an embodiment. However, the present invention is not limited thereto, and data communication may be performed using various communication protocols (including existing communication protocols) currently developed or developed in the future. In addition, the communication protocol between each component is not necessarily the same, and if necessary, data may be appropriately converted and used according to a communication protocol according to an embodiment.

Meanwhile, the wired/wireless communication network refers to a data communication network that supports various data communication between components of the unmanned overload control system 100 or the weight lifting system 110, and the type is not particularly limited. Does not. In the above, the wired/wireless communication network may be an IP network supporting large-capacity data communication through an Internet Protocol (IP) or an All IP network integrating different IP networks. In addition, the wired/wireless communication network includes a wired network, a wireless broadband (Wibro) network, a mobile communication network including WCDMA, a high speed downlink packet access (HSDPA) network, and a mobile communication network including a long term evolution (LTE) network, and LTE advanced. One of a mobile communication network including (LTE-A), a satellite communication network, and a Wi-Fi network, or may be formed by a combination of at least one or more of them.

Through the above-described axle system 110, for example, it is possible to detect even more than 110 km/h speed, that is, the detection speed can be improved, and the total heavy error rate is lowered to, for example, 10% or less, and traveling in the lateral direction. Through pattern recognition, it is possible to extract vehicles to avoid enforcement, and to improve the vehicle type classification function. Through this, it is possible to develop or upgrade performance of an unmanned or non-stop overloading control system.For example, it is possible to eradicate intentional overloading while driving, secure road safety, secure road structure durability, and improve the efficiency of overload control.

The vehicle recognition and information collection system 120 includes at least one of at least one vehicle number recognition system, at least one video information collection device, and the like to acquire and collect image and video information about a vehicle. An example of the video information collection device may be a closed circuit TV (CCTV). However, it is not limited thereto. In addition, the vehicle recognition and information collection system 120 may be divided into individual configurations and disposed respectively, or may be implemented as a mobile type instead of a fixed type as shown.

The vehicle information display system (Vehicle Message System) 130 outputs predetermined information or outputs predetermined information based on the information collected by the above-described heavy lifting system 110 and/or vehicle recognition and information collection system 120 On the basis of, the information transmitted by the unmanned overloading control system 100 is output. For example, at least one or more of information such as a driving lane of the vehicle, whether a weight limit is exceeded, a total weight, and a vehicle number may be output.

In addition, the device may mean a network device for communication between components of the electronic toll payment system 100 or with a vehicle or terminal(s) in the vehicle.

4 to 6 are diagrams showing an automatic deviation adjustment system for a shaft weight according to an embodiment of the present invention, and FIG. 7 is a flow chart for a method for explaining an automatic deviation adjustment method for a shaft weight according to an embodiment of the present invention. to be.

As described above, the deviation adjustment in the conventional heavy lifting system is performed by an administrator connecting a terminal directly to the weight control device at the site where the weight is installed, acquiring driving test data to the test vehicle, and calculating the deviation adjustment value. It was a method that was reflected in the weight control device. Therefore, a lot of time and manpower were required in the above method.

Accordingly, in the present invention, it is intended to be able to automatically adjust the deviation by performing data communication through wireless communication between the test vehicle 410 and the on-site weightlifter control device 420 without a separate on-site manager.

First, referring to FIG. 4, the axle weight deviation adjustment system is an embodiment in which a test vehicle 410 and a weight weight control device 420 are implemented, and separate wireless communication devices 415 and 425 are provided for each.

Through this, according to an embodiment of the present invention, data is exchanged between the test vehicle 410 and the weight weight control device 420 through wireless communication, and the weight weight control device 420 calculates a deviation adjustment value. By doing this, you can automatically adjust the deviation.

In the above, wireless communication collectively refers to data communication through various communication networks such as public wireless communication network, self-regulated wireless communication network, mobile communication network, 3G, LTE, and LTE-A. Briefly, the wireless communication means performing data communication between components through a wireless communication network.

Depending on the embodiment, in a specific case, for example, when security is required, a dedicated wireless communication network supporting a separately defined communication protocol may be used for the security network or the axis weight deviation adjustment system according to the present invention. On the other hand, a wired network may be used among some of the components in the shaft weight deviation adjustment system.

Meanwhile, the first wireless communication device 415 of the test vehicle 410 of FIG. 4 may be implemented in a form that can be mounted, fixed, or detached in a vehicle.

The first wireless communication device 415 includes both a fixed type or a portable device, and may be described by naming it as a terminal.

On the other hand, the first wireless communication device 415 may be any one of a smartphone, a smart pad, a laptop, etc. including a sensing module capable of sensing location data such as GPS (Global Positioning System), or one component thereof. I can.

Alternatively, the first wireless communication device 415 may be a dedicated wireless communication device for adjusting deviation of a shaft weight for the present invention. Depending on the embodiment, the second wireless communication device 425 may also be the same.

Meanwhile, the first wireless communication device 415 may use a dedicated application for adjusting the deviation of the shaft weight system according to the present invention. Therefore, the first wireless communication device 415 is automatically paired with the second wireless communication device 425 of the weight weight control device 420 by downloading and installing the application in advance and then executing the application. Data may be exchanged with each other without a user action, and the weight weight control device 420 may automatically calculate a deviation value and perform a deviation adjustment. However, the present invention is not limited thereto. For example, a web service type, a cloud service type, etc. related to the present invention may be used instead of the application. Depending on the embodiment, the second wireless communication device 425 may also be the same.

Referring to FIG. 7, the process of adjusting the deviation of the weight weight control apparatus 420 using wireless communication according to an embodiment of the present invention may be performed as follows.

The first wireless communication device 415 of the test vehicle 410 reads data such as speed, latitude, and longitude from the position sensor, and the test vehicle weighing information (axial load) entered in advance and the vehicle type of the test vehicle, driving lane, and tolerance At least one of the number of tests and the like is transmitted to the second wireless communication device 425 of the weight lifting system (S701).

Here, the wireless communication device 415 of the test vehicle 410 simply broadcasts data, receives the data broadcasted by the weight control device 420, parses it, and can use it for deviation adjustment. .

Alternatively, it is preferable that the first wireless communication device 415 transmits to a destination previously input, but allows the weight control device 420 to track the movement of the test vehicle 410. For example, the first wireless communication device 415 may transmit data in seconds.

In addition, although not shown, a dedicated channel is used for data transmission and reception between the test vehicle 410 and the axle control device 420, or by promising a separate transmission/reception signal or data frame in advance. It can also be used to adjust the deviation of the shaft weight based on it.

When the test vehicle 410 information is received through the second wireless communication device 425 (S702), the on-site axle weight control device 420 starts tracking the movement of the test vehicle 410 (S703), An estimated time to reach the axis weight sensor detection unit 111 is calculated based on the information provided by the test vehicle 410 (S704).

In the above, the expected arrival time of the axle weight sensor detection unit 111 of the test vehicle 410 may be calculated by latitude and longitude coordinates previously input to the axle weight control device 420.

The test vehicle 410 is selected by comparing whether the vehicle information provided by the test vehicle 410 matches the vehicle information provided by the test vehicle 410 from the vehicle information of the vehicle inspected by the axle weight control device 420 at the time of passing through the axle weight sensor detection unit 111 (Matching) can be done (S705).

When the test vehicle 410 selection (matching) is completed with the data detected by the weight weight control device 420 through the step S705, the weight weight control device 420 detects data through the second wireless communication device 425 And the number of deviation selection may be transmitted (S706).

When the number of driving previously input to the first wireless communication device 415 of the test vehicle 410 and the number of selections transmitted from the weight weight control device 420 match each other, a test end message is sent to the weight weight machine controller 420. By transmitting, the test of the lane can be terminated (S707).

When the test end message is received, a calibration coefficient based on the test measurement data detected by the weight weight control device 420 may be calculated, and deviation adjustment reflected therefrom may be performed (S708).

Transmission and reception in the above steps may vary depending on the viewpoint.

In FIG. 4 described above, the second wireless communication device 425 is attached to or connected to the weight control device 420. Meanwhile, FIG. 5 is an embodiment of a case in which the second wireless communication device 425 in FIG. 4 has a built-in weight control device 420. In this case, the second wireless communication device may be modularized like a wireless communication (support) module.

Alternatively, referring to FIG. 6, data transmission/reception between wireless communication devices in FIG. 4 or data transmission/reception between the first wireless communication device 415 and the wireless communication (support) module of the axle control device 420 as shown in FIG. This is an embodiment of a case where it is not performed directly but is performed indirectly through the server 430.

For example, the server 430 may be referred to as a processor as a remotely located hardware, and by receiving data between the above-described test vehicle 410 and the axle control device 420 i) only different Control data can be generated through simple delivery as a configuration, or ii) data comparison, analysis, etc. and transmitted to the configuration.

In addition, in FIG. 6 described above, the server 430 may be replaced with or passed through a relay for supporting wireless communication between the test vehicle 410 and the weight control device 420.

In addition, with respect to the present invention, the above-described embodiments of FIGS. 4 to 6 may be appropriately combined to implement a wireless communication-based shaft weight deviation adjustment system. For example, if the case of FIGS. 4 to 5 is impossible depending on the communication environment, the case of FIG. 6 can be tried and used. The opposite is also true. Alternatively, both cases of FIGS. 4 or 5 and 6 may be used for the purpose of mutual verification or improvement of data reliability.

In the case of FIGS. 4 to 7 described above, each case or step is the type or characteristic of the test vehicle, the road surface condition of the test lane, the test time, the road surface or ambient temperature during the test, the weather, the number of passengers in the test vehicle, and the test vehicle. It may be performed once or multiple times or referred to with reference to the standard deviation or average deviation by weight.

Through the above-described process, according to an embodiment according to the present invention, it is possible to implement the automatic calibration function of a shaft weight, so that a separate manager is not required, so that maintenance cost can be reduced, and in particular, when used for overload control The accuracy can be maintained at all times, and the reliability of the enforcement equipment can be improved.

In another embodiment of the present invention, a weightlifter system installed on a road receives location information and vehicle information of a test vehicle through wireless communication with the test vehicle, and based on the received location information and vehicle information, A weight weight control device for selecting a vehicle for deviation adjustment, wherein the weight weight control device transmits the detection data and the number of deviation sorting to the test vehicle, and the transmitted detection data and weighing information of the test vehicle Based on the calculation of the deviation of the axle loader, automatically adjusts the deviation of the axle loader based on a predetermined tolerance and the number of travels, and when the location information and vehicle information of the test vehicle are received, movement tracking for the test vehicle is performed. Start, based on the received information, calculates and uses the estimated time to reach the axis weight sensor detection unit of the axle loader, and if the transmitted selection number matches the number of driving previously input to the test vehicle, the test It is characterized in that it receives a test end message from the vehicle and ends the test of the corresponding lane.

Meanwhile, the above-described method can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable medium. Further, the structure of the data used in the above-described method may be recorded on a computer-readable medium through various means. Computer-readable media storing executable computer code for performing various methods of the present invention include magnetic storage media (eg, ROM, floppy disk, hard disk, etc.), optical reading media (eg, CD-ROM, DVD Etc.).

Those of ordinary skill in the technical field related to the embodiments of the present invention will appreciate that it may be implemented in a modified form without departing from the essential characteristics of the description. Therefore, the disclosed methods should be considered from an explanatory point of view rather than a limiting point of view. The scope of the present invention is shown in the claims rather than the detailed description of the invention, and all differences within the scope equivalent thereto should be construed as being included in the scope of the present invention.

Claims (10)

In the axle system installed on the road,
A weight weight control device for receiving location information and vehicle information of the test vehicle through wireless communication with the test vehicle, and selecting a vehicle for adjusting a weight weight deviation based on the received location information and vehicle information;
A shaft loader system comprising a.
The method of claim 1,
The weight control device,
Transmit the detection data and the number of deviation selection to the test vehicle,
And calculating a deviation of the axle loader based on the transmitted detection data and the weighing information of the test vehicle.
The method of claim 2,
The weight control device,
A shaft weight system, characterized in that for automatically adjusting the deviation of the shaft weight based on a predetermined tolerance and the number of travels.
The method of claim 1,
The weight control device,
When the location information and vehicle information of the test vehicle are received,
A weight lifting system, characterized in that, based on the received information, an estimated time to reach the weight sensor detection unit of the weight weight sensor is calculated and used.
The method of claim 1,
The weight control device,
When the number of selections transmitted coincides with the number of driving previously input to the test vehicle, a test end message is received from the test vehicle and the test of the corresponding lane is terminated.
In the deviation adjustment method in the axle system installed on the road,
Receiving location information and vehicle information of the test vehicle through wireless communication with the test vehicle; And
Selecting a vehicle for adjusting a deviation of a shaft weight based on the received location information and vehicle information;
Deviation adjustment method in a shaft weight system comprising a.
The method of claim 6,
Transmitting the detection data and the number of deviation selection to the test vehicle; And
Calculating a deviation of the axle loader based on the transmitted detection data and the weighing information of the test vehicle;
Deviation adjustment method in a shaft weight system, characterized in that further comprising a.
The method of claim 7,
Automatically adjusting the deviation of the shaft weight based on the predetermined tolerance and the number of travels;
Deviation adjustment method in a shaft weight system, characterized in that further comprising a.
The method of claim 6,
When the location information and vehicle information of the test vehicle are received,
Starting a movement tracking of the test vehicle and calculating an expected time to reach an axle weight sensor detection unit of the axle weight based on the received information;
Deviation adjustment method in a shaft weight system, characterized in that further comprising a.
The method of claim 6,
Receiving a test end message from the test vehicle and ending a test of the corresponding lane when the transmitted selection number matches the number of driving previously input to the test vehicle;
Deviation adjustment method in a shaft weight system, characterized in that further comprising a.

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