KR20200106423A - Method for monitoring capabil-ity of high-speed weigh-in-motion and apparatus thereof - Google Patents

Abstract

The present invention relates to a method for monitoring the performance of a high-speed weigh-in-motion and an apparatus thereof. An object of the present invention is to utilize a high-speed weigh-in-motion system capable of constant performance monitoring for overload control. The apparatus for monitoring the performance of the high-speed weigh-in-motion according to one embodiment of the present invention includes a weigh-in-motion control device. The weigh-in-motion control device selects a representative vehicle model among vehicle models which are to be collected for monitoring, filters data of the selected representative vehicle model for monitoring, calculates a load distribution for the representative vehicle model based on the filtered data of the representative vehicle model, and monitors the performance of the high-speed weigh-in-motion by using the calculated load distribution for the representative vehicle model.

Description

Performance monitoring method and device for high-speed shaft heavy machinery {METHOD FOR MONITORING CAPABIL-ITY OF HIGH-SPEED WEIGH-IN-MOTION AND APPARATUS THEREOF}

The present invention relates to a method and apparatus for monitoring high-speed weigh-in-motion (HS-WIM) performance, and more particularly, to monitor the performance of a high-speed weigh-in-motion vehicle (HS-WIM) in an unmanned overload control system. (monitoring) method and apparatus.

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

Relatedly, the performance check for the traditional overload control is to check the performance of the equipment by running a test vehicle such as a test truck at a certain period, and to perform a deviation adjustment when an abnormality is found. This is a method of follow-up when an abnormality occurs after periodic inspection, and there are problems such as the point that maintenance costs continue to occur, and it is difficult to detect performance abnormalities before the arrival of the periodic inspection time, making it difficult to ensure continuity of maintaining a certain level of performance. This in turn causes the reliability of the equipment to deteriorate.

An object of the present invention is to utilize a high-speed shaft weight system capable of monitoring performance at all times for overload control.

Another object of the present invention is to provide a method of managing and maintaining the performance of the high-speed shaft weight system through the performance monitoring.

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 order to solve the above-described problem, the high-speed axle loader performance monitoring apparatus according to an embodiment of the present invention selects a representative vehicle model among vehicle models to be collected data for monitoring, and filters data of the selected representative vehicle model for monitoring, Comprising: a weight distribution control device that calculates a load distribution for the representative vehicle model based on the filtered data of the representative vehicle model, and monitors the performance of the high-speed axle loader using the calculated load distribution for the representative vehicle model. It is characterized.

According to an embodiment of the present invention, the axle weight control device determines whether the system is normally operating using a traffic volume analysis method according to the calculated load distribution, and the system using the normal distribution characteristic of the index weight of the selected representative vehicle model. It is characterized by estimating a change in a zero adjustment value and a change in measurement accuracy.

According to an embodiment of the present invention, the high-speed shaft weight control device performs a correlation analysis of at least one variation of the zero adjustment value and the measurement accuracy of the system according to time movement, and the correlation coefficient and load distribution obtained as a result It is characterized in that an algorithm for determining whether to check the system according to the movement is mounted.

According to an embodiment of the present invention, the high-speed shaft weight control device is characterized in that it is equipped with software that analyzes and displays high-speed shaft weight data at a predetermined period using the algorithm and indicates whether or not an inspection is necessary or normal. do.

According to an embodiment of the present invention, the control device for high-speed axle weights is characterized in that it determines whether or not the selected representative vehicle model and indicator weight are automatically changed at a predetermined period.

A method of monitoring the performance of a high-speed axle loader according to an embodiment of the present invention includes the steps of selecting a representative vehicle model among vehicle models to be collected for monitoring; Filtering data of the selected representative vehicle type for monitoring; Calculating a load distribution for the representative vehicle model based on the filtered data of the representative vehicle model; And monitoring the performance of the high-speed axle by using the calculated load distribution for the representative vehicle model.

According to an embodiment of the present invention, the step of determining whether the system is normally operated using a traffic volume analysis method according to the calculated load distribution, and a change in the zero point adjustment value of the system using the normal distribution characteristic of the index weight of the selected representative vehicle type. And estimating a change in measurement precision.

According to an embodiment of the present invention, correlation analysis of at least one change amount of the zero adjustment value and measurement accuracy of the system according to time movement, obtaining a correlation coefficient from the correlation analysis result, and the obtained It characterized by further comprising the step of determining whether to check the system according to the movement of the correlation coefficient and the load distribution.

According to an embodiment of the present invention, it is characterized in that it further comprises the step of analyzing and displaying the high-speed shaft weight data at a predetermined period, and displaying whether or not the high-speed shaft weight needs to be checked or normal.

According to an embodiment of the present invention, it is characterized in that it further comprises a step of determining whether to automatically change the selected representative vehicle model and indicator weight at a predetermined period.

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 reducing maintenance cost by utilizing a high-speed axle loader system capable of monitoring its performance at all times for overloading control.

Second, according to the present invention, there is an effect of managing and maintaining the performance of the high-speed shaft weight system through the performance monitoring.

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

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 is a flowchart of a method for explaining a method for monitoring performance 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, It may be one of a mobile communication network including an LTE advanced (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 is a flowchart of a method for monitoring performance of a shaft weight according to an embodiment of the present invention.

Referring to FIG. 4, performance monitoring of a high-speed shaft weight according to an embodiment of the present invention may be performed as follows. However, FIG. 4 is only an embodiment for aiding understanding of the present invention and for convenience of description, and the present invention is not limited thereto. For example, one or more of the steps shown in FIG. 4 may be omitted, and conversely, step(s) not shown may be further included. In addition, despite the steps shown in FIG. 4, the order is not limited and some may be changed according to various embodiments for system implementation.

The high-speed axle weight control device may select a representative vehicle model among vehicle models to be collected data for monitoring (S401).

As the representative vehicle type, for example, it is preferable to select a vehicle type with the largest amount of traffic on a corresponding road or a corresponding lane. The representative vehicle type may be selected as a cargo vehicle type.

The high-speed shaft weight control device may filter data of the selected representative vehicle type for monitoring (S402).

Weight data for a predetermined period of the selected representative vehicle may be filtered. The weight data includes at least one of the gross weight of the representative vehicle model and the celebratory weight.

Meanwhile, in the above, filtering refers to removing or excluding data of a vehicle model other than the representative vehicle model of the corresponding vehicle model, or, conversely, extracting only the weight data of the representative vehicle model from the weight data of all vehicle models in the corresponding road or lane.

The high-speed axle control device may calculate a load distribution for the representative vehicle model based on the filtered data of the representative vehicle model (S403).

The load distribution is preferably obtained at a continuous constant cycle for the representative vehicle type, but is not limited thereto.

The load distribution can be expressed using a histogram. However, it is not limited thereto.

The high-speed axle control device may determine whether the system is normally operated using a traffic volume analysis method according to the calculated load distribution (S404).

Here, the system includes a shaft weight system.

The high-speed shaft weight control device may estimate a change in a zero point adjustment value and a change in measurement accuracy of the system using the normal distribution characteristic of the index weight of the selected representative vehicle (S405).

The high-speed shaft weight control device may perform a correlation analysis according to time movement of at least one change amount of the zero adjustment value and the measurement accuracy of the system (S406).

The high-speed shaft weight control apparatus may obtain a correlation coefficient from the correlation analysis result (S407), and determine whether to check the system according to the movement of the obtained correlation coefficient and the load distribution (S408).

It is preferable that the high-speed shaft weight control device obtains the index weight normal distribution characteristic from the histogram of each weight, such as the degree of similarity and the amount of change at the vertex.

The apparatus for controlling the high-speed shaft weight may estimate the performance of the high-speed shaft weight with respect to the accuracy of weight detection by referring to the obtained index weight normal distribution characteristic.

Regarding the performance analysis of the high-speed shaft weight, it can be processed as follows.

For example, the high-speed heavy lifting machine control device is used to determine whether or not the high-speed heavy lifting system is normally operated, comparing a certain period at the time of analysis of the relevant period and the trend of traffic volume just before or before the same period in the past using a statistical technique. It is desirable to do.

The high-speed axle control device may select a weight that does not have a large change in load distribution for each period among the results of analysis through a normal distribution analysis technique for each weight of the representative vehicle model as a monitoring index.

On the other hand, it is preferable that the high-speed shaft weight control device estimates a change in measurement accuracy as an estimated standard deviation change amount as an average value change amount through a histogram of a normal distribution of the ground load.

In addition, it is preferable that the high-speed shaft weight control device simultaneously applies the following correlation technique to the result of the load distribution of different periods in succession in order to increase the reliability of the analysis method.

For example, the high-speed shaft weight control device may be set to decrease the correlation coefficient when the shape of the load distribution changes, or it may be estimated that the zero point adjustment is changed when the load distribution moves (eg, left and right).

In addition, the high-speed shaft weight control device may display an indication that the correction coefficient recalculation is necessary when the correlation coefficient is high as a result of the correlation analysis.

In addition, the high-speed shaft weight control device can display a system inspection necessary instruction when the amount of movement changes to a certain level or the correlation coefficient decreases.

The high-speed shaft weight control device analyzes and displays the high-speed shaft weight data at a predetermined period (S409), displays whether or not the high-speed shaft weight needs to be checked or is normal (S410), and displays the calculated load distribution for the representative vehicle model. By using, it is possible to monitor the performance of the high-speed shaft weight (S411).

In addition, the high-speed shaft weight control device may determine whether to automatically change the selected representative vehicle model and index weight at a predetermined period and determine accordingly.

By implementing the above method in software, the analysis period is expressed in weekly, monthly, quarterly, and annually, and by configuring an interface capable of indicating the need for inspection or normal, it is possible to increase the intuitiveness of the monitoring of the weighing machine system.

In another embodiment of the present invention, an apparatus for monitoring performance of a high-speed axle loader selects a representative vehicle model among vehicle models to be collected for monitoring, filters data of the selected representative vehicle model for monitoring, and filters the filtered representative vehicle model data. Comprising the load distribution for the representative vehicle model based on, and using the calculated load distribution for the representative vehicle model to monitor the performance of the high-speed axle weight; including, but the axle weight control device is , According to the calculated load distribution, the traffic volume analysis method determines whether the system is operating normally, estimates the change in the zero-point adjustment value and the measurement accuracy change of the system using the indicator weight normal distribution characteristic of the selected representative vehicle, and the high speed The weight control device performs a correlation analysis of at least one change amount of the zero adjustment value and the measurement accuracy of the system according to time movement, and an algorithm for determining whether to check the system according to the movement of the correlation coefficient and the load distribution obtained as a result. And the high-speed weight weight control device is equipped with software that analyzes and displays high-speed weight weight machine data at a predetermined period using the algorithm, and displays whether or not an inspection is necessary or normal, and the high-speed weight weight control device, It is characterized in that it is determined whether or not the selected representative vehicle model and indicator weight are automatically changed at a predetermined period.

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 high-speed axle loader performance monitoring device,
A representative vehicle model is selected among the vehicle models subject to data collection for monitoring, and the data of the selected representative vehicle model is filtered for monitoring, and the load distribution for the representative vehicle model is calculated based on the filtered data of the representative vehicle model, and the calculated A heavy duty weight control device for monitoring the performance of the high speed weight heavy weight using a load distribution for a representative vehicle model;
High-speed axle loader performance monitoring device comprising a.
The method of claim 1,
The weight control device,
In accordance with the calculated load distribution, it is characterized in that it is characterized in that it determines whether the system is operating normally using a traffic analysis method, and estimates a change in a zero point adjustment value and a change in measurement accuracy of the system using the normal distribution characteristic of the index weight of the selected representative vehicle. High-speed axle loader performance monitoring device.
The method of claim 2,
The high-speed shaft weight control device,
An algorithm for determining whether to check the system according to the movement of the correlation coefficient and the load distribution obtained as a result of correlation analysis of at least one change amount of the system's zero point adjustment value and measurement accuracy with time movement is mounted. High-speed axle loader performance monitoring device.
The method of claim 3,
The high-speed shaft weight control device,
A high-speed weight lifting machine performance monitoring device, characterized in that it is equipped with software having a function of analyzing and expressing the high-speed weight weight data at a predetermined period using the algorithm and indicating whether or not inspection is necessary or normal.
The method of claim 1,
The high-speed shaft weight control device,
A high-speed axle loader performance monitoring device, characterized in that it is determined whether or not the selected representative vehicle model and indicator weight are automatically changed at a predetermined period.
In the method of monitoring the performance of a high-speed axle,
Selecting a representative vehicle model from among vehicle models subject to data collection for monitoring;
Filtering data of the selected representative vehicle type for monitoring;
Calculating a load distribution for the representative vehicle model based on the filtered data of the representative vehicle model; And
Monitoring the performance of the high-speed axle loader using the calculated load distribution for the representative vehicle model,
High-speed axle loader performance monitoring method comprising a.
The method of claim 6,
Determining whether the system is operating normally using a traffic volume analysis method according to the calculated load distribution,
Estimating a change in a zero-point adjustment value and a change in measurement accuracy of the system using the normal distribution characteristic of the index weight of the selected representative vehicle model,
High-speed axle loader performance monitoring method, characterized in that it further comprises a.
The method of claim 7,
Correlation analysis of at least one change amount of the zero adjustment value and the measurement accuracy of the system according to time movement,
Obtaining a correlation coefficient from the result of the correlation analysis,
Determining whether to check the system according to the movement of the obtained correlation coefficient and the load distribution,
High-speed axle loader performance monitoring method, characterized in that it further comprises a.
The method of claim 8,
Analyzing and displaying the high-speed weight weight data at a predetermined period,
Indicating whether or not the high-speed shaft weight needs to be checked or is normal,
High-speed axle loader performance monitoring method, characterized in that it further comprises a.
The method of claim 6,
Determining whether to automatically change the selected representative vehicle model and indicator weight at a predetermined period;
High-speed axle loader performance monitoring method, characterized in that it further comprises a.

Images