JP7424945B2 - Failure detection device, toll collection system, failure detection method, and program - Google Patents

Description

The present disclosure relates to a failure detection device, a toll collection system, a failure detection method, and a program.

BACKGROUND ART In toll collection systems for toll roads, a method of determining tolls based on the type of vehicle is known as a method for determining tolls. The vehicle type is determined using various vehicle information such as the number of axles, vehicle length, vehicle height, license plate information, and whether or not the vehicle is towed.
For example, Patent Document 1 discloses a method of determining the number of axles of a traveling vehicle as vehicle information.

Japanese Patent Application Publication No. 2003-166870

Patent Document 1 discloses an axle load meter that measures a fulcrum reaction force on a bridge abutment using a strain gauge and measures the axle load of a vehicle running on the bridge from the fulcrum reaction force of the bridge.
However, in the axle load meter disclosed in Patent Document 1, for example, the strain gauge is not maintained, and failure of the axle load meter may not be detected.

The present disclosure has been made to solve the above problems, and aims to provide a failure detection device, a toll collection system, a failure detection method, and a program that can detect a failure of an axle load meter.

A failure detection device according to the present disclosure includes a recording processing unit that records vehicle characteristic information of a vehicle traveling in a lane in association with measurement information acquired from an axle load meter for the vehicle, and a recording processing unit that records vehicle characteristic information of a vehicle traveling in a lane in association with the same vehicle characteristic information. a comparison unit that compares the first measurement information acquired during the first run, which is the measurement information associated with the second measurement information, and the second measurement information acquired during the second run, and based on the result of the comparison, and a detection unit that detects a failure of the axle load meter.

A failure detection method according to the present disclosure includes a step of associating and recording vehicle characteristic information of a vehicle traveling in a lane and measurement information acquired from an axle load meter for the vehicle, and associating it with the same vehicle characteristic information. a step of comparing the first measurement information obtained during the first run, which is the measurement information obtained during the first run, and the second measurement information obtained during the second run, and determining the axle load based on the result of the comparison. detecting a failure of the meter.

The program according to the present disclosure includes the step of associating and recording, in a computer of a failure detection device, vehicle characteristic information of a vehicle traveling in a lane and measurement information acquired from an axle load meter for the vehicle; a step of comparing the first measurement information acquired during the first run, which is the measurement information associated with the vehicle characteristic information, and the second measurement information acquired during the second run; and detecting a failure of the axle weight meter based on the axle load meter.

According to the failure detection device, toll collection system, failure detection method, and program of the present disclosure, a failure of an axle load meter can be detected.

1 is a schematic perspective view of a toll collection system according to a first embodiment of the present disclosure. FIG. 1 is a block diagram of a failure detection device according to a first embodiment of the present disclosure. FIG. 1 is a block diagram of an axle load meter according to a first embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the first embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the first embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the first embodiment of the present disclosure. 1 is a flowchart of a failure detection method according to a first embodiment of the present disclosure. FIG. 3 is a diagram illustrating the operation of the failure detection device according to the first embodiment of the present disclosure. FIG. 2 is a block diagram of a failure detection device according to a second embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the second embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the second embodiment of the present disclosure. It is an example of the database recorded by the failure detection device according to the second embodiment of the present disclosure. FIG. 7 is a diagram illustrating the operation of the failure detection device according to the second embodiment of the present disclosure. FIG. 2 is a schematic perspective view of a toll collection system according to a third embodiment of the present disclosure. 1 is an example of a hardware configuration of a computer included in a failure detection device according to each embodiment of the present disclosure.

Hereinafter, each embodiment of the present disclosure will be described using the drawings. In all the drawings, the same or corresponding structures are given the same reference numerals, and common explanations are omitted.

<First embodiment>
A failure detection device 7 according to the first embodiment will be described with reference to the drawings.

(Overall configuration of toll collection system)
The toll collection system 1 of the present embodiment is installed, for example, at any toll gate TL (entrance toll gate or main line toll gate) of an expressway, which is a toll road, and receives information from users of the expressway. This is a system for collecting fees related to the vehicle AA being ridden.

As shown in FIG. 1, the vehicle AA is traveling on a lane LN that leads from the general road side to the expressway side via a toll gate TL that is an entrance toll gate.
In this case, the vehicle AA is a vehicle having a plurality of axles, and may be a light vehicle, a regular vehicle, a large vehicle, or the like.

Hereinafter, the direction in which the lane LN extends (±X direction in Figure 1) will be referred to as the "lane direction", and the expressway side (+X direction side in Figure 1) in the lane direction of the lane LN will be referred to as "downstream". . Further, the general road side (-X direction side in FIG. 1) in the lane direction of lane LN is described as "upstream."
Further, the width direction of the lane LN is referred to as the lane width direction (±Y direction in FIG. 1), and the vehicle height direction of the vehicle AA is referred to as the vertical direction (±Z direction in FIG. 1).

An island IS is installed on both sides of the lane LN, and at least some of the various devices that make up the toll collection system 1 are installed.
For example, as shown in FIG. 1, a plurality of lanes LN may be lined up at the toll gate TL. In this case, an island IS may be installed between adjacent lanes LN.

In this embodiment, the toll collection system 1 performs billing processing using a wireless communication system.
The toll collection system 1 performs wireless communication processing (hereinafter simply referred to as "wireless communication") with a vehicle AA attempting to pass through a toll plaza TL from upstream to downstream of a lane LN. This is a device that performs billing processing related to vehicle types, etc.
For example, the toll collection system 1 may be part of a system that constructs an electronic toll collection system (ETC (registered trademark), also referred to as an "automatic toll collection system").

As shown in FIG. 1, the toll collection system 1 includes a vehicle detector 2, a communication antenna 3, a lane server 4, a license plate reader 5, an axle load meter 6, and a failure detection device 7. .

For example, as shown in FIG. Alternatively, they may be connected to each other via a communication line.
For example, the toll collection system 1 further includes a billing processing section (not shown) that manages a series of billing processes, and transmits acquired information, determined billing amount information, etc. to a remote location installed in a remote location via a dedicated line or communication line. It may also be output to a higher-level device 9.

(Vehicle detector configuration)
As shown in FIG. 1, the vehicle detector 2 is configured to be able to detect a vehicle AA at an entry detection position XA with respect to the lane direction.
The vehicle detector 2 is installed on the island IS facing the lane LN.
For example, when a plurality of lanes LN are lined up, the vehicle detector 2 may be provided in association with each lane LN. In this case, the vehicle detector 2 may be installed toward each lane LN on an island IS adjacent to each lane LN.

For example, the vehicle detector 2 may include a light emitter/receiver 21.
The light emitter/receiver 21 is arranged at the entrance detection position XA.
The light projector/receiver 21 may be of a transmission type or a reflection type.
For example, the light emitter/receiver 21 may emit and receive light over the entire vehicle height direction of the vehicle AA in a vertical plane parallel to the lane width direction (in a plane perpendicular to the ±X direction) at the approach detection position XA. good.
For example, as shown in FIG. 1, if the light emitter/receiver 21 is a transmission type, the light emitter/receiver 21 includes a light emitter 21A that emits light and a light receiver 21B that receives the light, with the lane LN in between. You may have a pair with. At this time, the light emitter/receiver 21 receives the light emitted by the projector 21A when the vehicle AA is not present at the approach detection position XA, and receives the light emitted by the projector 21A when the vehicle AA is present at the approach detection position XA. No light is received.
Thereby, the vehicle detector 2 can detect the vehicle AA entering the entry detection position XA.

(Communication antenna configuration)
The communication antenna 3 is installed above the lane LN by a gantry GN.
The communication antenna 3 performs wireless communication processing with the on-vehicle device α of the vehicle AA. Specifically, the communication antenna 3 is formed to be able to transmit and receive electromagnetic waves of a predetermined frequency (for example, about 5.8 GHz), and communicates wirelessly with the on-vehicle device α mounted on the arriving vehicle AA via the electromagnetic waves. communicate.
For example, when a plurality of lanes LN are lined up, the communication antenna 3 may be provided in association with each lane LN.

For example, the communication antenna 3 may perform wireless communication with the on-vehicle device α mounted on the vehicle AA at the timing when the vehicle detector 2 detects the vehicle AA entering the entry detection position XA.
By performing wireless communication in this manner, the communication antenna 3 can perform wireless communication with the on-vehicle device α mounted on the vehicle AA while the vehicle detector 2 is detecting the passage of the vehicle AA. Therefore, the communication antenna 3 easily distinguishes between the vehicle AA preceding the vehicle AA and the vehicle AA following the vehicle AA, and performing wireless communication with the on-vehicle device α mounted on the vehicle AA.

(Lane server configuration)
The lane server 4 is installed on the island IS.
For example, the lane server 4 may acquire the identification information IFI of the on-vehicle device α mounted on the vehicle AA entering the tollgate TL. At this time, the lane server 4 may acquire the identification information IFI based on information acquired through wireless communication with the on-vehicle device α through the communication antenna 3.

Further, the lane server 4 may acquire license plate information IFN from the license plate reader 5.
Furthermore, the lane server 4 may acquire the vehicle length, vehicle height, number of axles, axle weight, etc. of the vehicle AA that has entered the lane LN, which is detected by various sensors of the toll collection system 1.
The lane server 4 identifies vehicle type information IFC including the vehicle type classification of the vehicle AA that has entered the lane LN, based on identification information IFI, license plate information IFN, various information obtained through various sensors, and the like.
For example, there are five vehicle classifications: "light car/motorcycle,""regularcar,""medium-sizedcar,""large-sizedcar," and "extra-large car."
For example, the toll collection system 1 may charge a toll according to the vehicle type classification of the vehicle AA from the vehicle type classification specified by the lane server 4.
For example, when a plurality of lanes LN are lined up, a lane server 4 may be provided in association with each lane LN. In this case, the lane server 4 may be installed toward each lane LN on an island IS adjacent to each lane LN.
For example, each lane server 4 may output the acquired identification information IFI and vehicle type information IFC to the host device 9.
As a result, the toll collection system 1 can store the identification information IFI and vehicle type information IFC acquired from the vehicle AA passing through the toll plaza TL in the host device 9, regardless of the lane LN in which the vehicle AA passes and the time of day. can.

(Configuration of license plate reader)
The license plate reading device 5 acquires a photographed image including the license plate of the vehicle AA detected by the vehicle detector 2.
The license plate reading device 5 performs predetermined image analysis processing on the acquired photographed image, and obtains the license plate information IFN of the photographed license plate, that is, the vehicle number and classification number engraved on the license plate, and the license plate. Get the size, color, etc.

For example, when a plurality of lanes LN are lined up, a license plate reader 5 may be provided in association with each lane LN. In this case, the license plate reader 5 may be installed on the island IS adjacent to each lane LN. At this time, each license plate reading device 5 may output the acquired license plate information IFN to the host device 9. Thereby, the host device 9 can store the license plate information IFN acquired from the vehicle AA passing through the tollgate TL, regardless of the lane LN in which the vehicle AA travels and the time of day.

For example, the license plate reader 5 may photograph the entry detection position XA in the lane direction. Further, the license plate reading device 5 may acquire a captured image including the license plate of the vehicle AA at the timing when the vehicle detector 2 detects the vehicle AA entering the entry detection position XA.
By photographing in this manner, the license plate reading device 5 can acquire a photographed image including the license plate of the vehicle AA while the vehicle detector 2 is detecting the passage of the vehicle AA. Therefore, the license plate reading device 5 can easily distinguish between the vehicle AA preceding the vehicle AA, the vehicle AA following the vehicle AA, etc., and easily acquiring a photographed image including the license plate of the vehicle AA.

(Axle load meter configuration)
The axle load meter 6 acquires axle load data DA and an axle detection signal SA regarding the vehicle AA detected by the vehicle detector 2.
The axle load meter 6 acquires axle load data DA and an axle detection signal SA regarding each axle of the vehicle AA having a plurality of axles.
As shown in FIG. 3, the axle load meter 6 includes a measuring section 61 and a processing section 62.
For example, when a plurality of lanes LN are lined up, an axle load meter 6 may be provided in association with each lane LN. In this case, the measuring section 61 may be installed on each lane LN, and the processing section 62 may be installed on the island IS adjacent to each lane LN.

The measurement unit 61 includes a load sensor 611 and an axis detection sensor 612.
The measuring section 61 outputs the axle load data DA and the axle detection signal SA to the processing section 62.
For example, each sensor of the measurement unit 61 may extend in the lane width direction across a pair of islands IS sandwiching the lane LN.
For example, each sensor of the measurement unit 61 may be embedded in a footboard installed on the road surface of the lane LN.

For example, each sensor of the measurement unit 61 may be provided at the entry detection position XA with respect to the lane direction. If provided at such a position, the axle load meter 6 can acquire the axle load data DA and the axle detection signal SA while the vehicle detector 2 is detecting the passage of the vehicle AA. Therefore, the axle load meter 6 distinguishes the vehicle AA preceding the vehicle AA, the vehicle AA following the vehicle AA, etc., and acquires the axle load data DA and the axle detection signal SA for each axle of the vehicle AA. Cheap.

The load sensor 611 measures the axle load of the vehicle AA, which has a plurality of axles, for each axle.
The load sensor 611 outputs each measured axle load to the processing unit 62 as axle load data DA.

The axle detection sensor 612 detects each axle of the vehicle AA that steps on the axle detection sensor 612.
When the axis detection sensor 612 detects each axle, it outputs an axis detection signal SA to the processing unit 62.
For example, the axle detection signal SA may be a signal that includes the time when each axle was detected.
For example, the axis detection sensor 612 may detect the time when each axle is detected as the axis detection signal SA. That is, each time the shaft detection sensor 612 is stepped on each axle, the shaft detection sensor 612 may detect the time instant at which each axle is stepped on as the shaft detection signal SA.
For example, the axis detection sensor 612 may be provided adjacent to the load sensor 611 in the X direction, or may be provided at the same position in the lane direction.
For example, the axis detection sensor 612 may be included in the load sensor 611. That is, the shaft detection sensor 612 may detect each axle based on the signal acquired by the load sensor 611.

The processing section 62 functionally includes an axle load data acquisition section 621, an axle detection signal acquisition section 622, an axle load information identification section 623, an axle number information identification section 624, and an output section 625.

Axle load data acquisition section 621 acquires axle load data DA from load sensor 611.
For example, the axle load data acquisition unit 621 may sequentially store the acquired axle load data DA in the order of acquisition.

The axis detection signal acquisition unit 622 acquires the axis detection signal SA from the axis detection sensor 612.
For example, the axis detection signal acquisition unit 622 may sequentially store the acquired axis detection signals SA in the order in which they were acquired.

The axle load information specifying unit 623 specifies a plurality of axle load data DA related to each vehicle AA as the axle load information IFA of the vehicle AA.
For example, the axle load information specifying unit 623 refers to the timing detected by the vehicle detector 2, and assigns a plurality of axle load data DA measured at the timing when each vehicle AA enters the entry detection position XA to each vehicle AA. The axle load information IFA may also be specified.

The axle number information identification unit 624 identifies the number of axles of each vehicle AA as the axle number information IFB of the vehicle AA.
For example, the axle number information specifying unit 624 refers to the timing detected by the vehicle detector 2, counts the number of axle detection signals SA detected at the timing when each vehicle AA approaches the entry detection position The axle number information IFB of the vehicle AA may be specified.

The output unit 625 outputs axle load information IFA and axle number information IFB of each vehicle AA to the failure detection device 7.
For example, the output unit 625 may further output the axle load information IFA and axle number information IFB of each vehicle AA to the lane server 4.

(Configuration of failure detection device)
As shown in FIG. 2, the failure detection device 7 functionally includes a recording processing section 73, a comparison section 74, and a detection section 75.
The failure detection device 7 further includes a first acquisition section 71, a second acquisition section 72, and a notification section 76.

The first acquisition unit 71 acquires vehicle characteristic information IFF of the vehicle AA traveling on the lane LN.
For example, the first acquisition unit 71 may acquire the vehicle characteristic information IFF via the host device 9.
For example, the vehicle characteristic information IFF of the vehicle AA may include license plate information IFN of the vehicle AA.
For example, vehicle characteristic information IFF of vehicle AA may include identification information IFI.
For example, the vehicle characteristic information IFF of the vehicle AA may include vehicle type information IFC of the vehicle AA.

The second acquisition unit 72 acquires measurement information IFM of the vehicle AA traveling on the lane LN from the axle load meter 6.
For example, the measurement information IFM of the vehicle AA acquired by the second acquisition unit 72 may include the axle load information IFA.
For example, the measurement information IFM of the vehicle AA acquired by the second acquisition unit 72 may include weight information IFW.
For example, the measurement information IFM of the vehicle AA acquired by the second acquisition unit 72 may include total weight information IFT of the vehicle AA as the weight information IFW of the vehicle AA. At this time, the second acquisition unit 72 may acquire the total weight information IFT by calculating the sum of the axle loads of the vehicle AA based on the axle load information IFA of the vehicle AA.

The recording processing unit 73 records the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN and the measurement information IFM acquired from the axle load meter 6 regarding this vehicle AA in association with each other.
For example, the recording processing unit 73 may associate and record the vehicle characteristic information IFF and measurement information IFM acquired in the same lane LN and at the same timing for the vehicle AA.

For example, the recording processing section 73 may include an exclusion section 731.
The exclusion unit 731 excludes the weight information IFW of the vehicle AA corresponding to overloading from the weight information IFW acquired from the axle load meter 6.
For example, the exclusion unit 731 may exclude from the database DB the weight information IFW including the total weight information IFT whose total weight exceeds 25 tons as the weight information IFW of the vehicle AA corresponding to overloading.
For example, the exclusion unit 731 may exclude from the database DB the weight information IFW including the axle load information IFA whose axle weight exceeds 10 tons, as the weight information IFW of the vehicle AA corresponding to overloading.

For example, the recording processing unit 73 stores information such as license plate information IFN, identification information IFI, vehicle type information IFC, total weight information IFT, and axle load information IFA that are acquired every time each vehicle AA arrives at the tollgate TL. may be recorded in association with each other.
For example, when each piece of information as shown in FIG. 4 is acquired, the recording processing unit 73 may record the pieces of information in association with each other on a line-by-line basis (each No. unit).
As shown in FIG. 4, each piece of information is sorted by No. 1 in the order in which each vehicle AA arrives at the toll gate TL. 1.No. 2.No. 3, . . . are recorded by being accumulated in the database DB.
Note that each lane number included in the database DB indicates the number of the lane LN in which the vehicle AA was traveling when each piece of information was acquired, among the plurality of lanes LN of the toll gate TL.

The comparison unit 74 compares the first measurement information IFP acquired during the first run and the second measurement information IFQ acquired during the second run, which are measurement information IFM associated with the same vehicle characteristic information IFF. compare.
For example, the comparison unit 74 may compare the measurement information IFM in the database DB from which the weight information IFW of the vehicle AA corresponding to overloading has been excluded.

For example, the comparison unit 74 may compare vehicle characteristic information IFF in which the license plate information IFN, identification information IFI, and vehicle type information IFC all match, as the same vehicle characteristic information IFF.
In the cases shown in FIGS. 4 to 6, in the comparing section 74, No. 2 vehicle characteristic information IFF and No. 2 vehicle characteristic information IFF. Vehicle characteristic information IFF of No. 205 and No. The vehicle characteristic information IFF of 634 may be determined to be the same vehicle characteristic information IFF.

For example, the comparison unit 74 may compare the total weight information IFT acquired during the first run as the first measurement information IFP and the total weight information IFT acquired during the second run as the second measurement information IFQ. good.

When a database DB as shown in FIG. 4 is accumulated, No. The vehicle characteristic information IFF of 205 is No. This matches the vehicle characteristic information IFF of No. 2. Therefore, the comparison unit 74 compares the No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. The time when each piece of information No. 205 is acquired is defined as the second running time, and No. 205, which is the first measurement information IFP, is acquired. Total weight information IFT of No. 2 and No. 2 which is second measurement information IFQ. The total weight information IFT of 205 is compared.
Further, in this database DB, as shown in FIG. The vehicle characteristic information IFF of 623 is No. It matches the vehicle characteristic information IFF of 205. Therefore, the comparison unit 74 compares the No. The time when each piece of information of No. 205 was acquired is the first running time, and the time when each information of No. 205 was acquired is the first run. The time when each piece of information No. 623 is acquired is the second running time, and No. 623, which is the first measurement information IFP, is acquired. Total weight information IFT of No. 205 and No. 205 which is the second measurement information IFQ. 634 may be compared with the total weight information IFT.
Furthermore, in this database DB, as shown in FIG. The vehicle characteristic information IFF of 634 is No. This matches the vehicle characteristic information IFF of No. 2. Therefore, the comparison unit 74 compares the No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. The time when each piece of information No. 634 is acquired is defined as the second running time, and No. 634, which is the first measurement information IFP, is acquired. Total weight information IFT of No. 2 and No. 2 which is second measurement information IFQ. 634 may be compared with the total weight information IFT.

For example, the comparison unit 74 may calculate the ratio of the difference between the first measurement information IFP and the second measurement information IFQ to the second measurement information IFQ as the comparison result.
As shown in FIG. 4, in this database DB, No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. If the time when each information of No. 205 is acquired is the second running time, then No. The total weight information IFT of No. 2 is 2200 kg. The total weight information IFT of 205 is 2140 kg. Therefore, the comparison unit 74 calculates |2140kg−2200kg|/2200kg=0.03 as the comparison result.
Similarly, as shown in FIG. 5, in this database DB, No. The time when each piece of information of No. 205 was acquired is the first running time, and the time when each information of No. 205 was acquired is the first run. If the time when each piece of information in 634 is acquired is the second traveling time, the comparison unit 74 calculates |1600kg−2140kg|/2140kg=0.25 as a result of the comparison.
Similarly, as shown in FIG. 6, in this database DB, No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. When the time when each piece of information of 634 is acquired is the second traveling time, the comparison unit 74 calculates |1600kg−2200kg|/2200kg=0.27 as a result of the comparison.

The detection unit 75 detects a failure of the axle load meter 6 based on the comparison result in the comparison unit 74.
For example, if the detection unit 75 determines that the first measurement information IFP and the second measurement information IFQ are different based on the comparison result in the comparison unit 74, the detection unit 75 may detect a failure of the axle load meter 6.
For example, the detection unit 75 may detect a failure of the axle load meter 6 if it determines that the measurement information IFM is continuously different based on the comparison result in the comparison unit 74 over the comparison of multiple sets of measurement information IFM.

For example, the detection unit 75 may detect a failure of the axle load meter 6 if the difference between the comparison results in the comparison unit 74 is greater than or equal to a predetermined value.
For example, the detection unit 75 determines that the difference between the comparison results is equal to or greater than a predetermined value, when the ratio of the difference between the first measurement information IFP and the second measurement information IFQ to the first measurement information IFP is equal to or greater than a predetermined value. Additionally, a failure of the axle load gauge 6 may be detected. In the cases shown in FIGS. 4 to 6, the predetermined value may be set to 0.20, for example.

If there are three or more pieces of measurement information IFM associated with the same vehicle characteristic information IFF and multiple sets of comparisons are possible, the detection unit 75 detects the first measurement information IFP and the second measurement information IFQ in the results of the plurality of comparisons. A failure of the axle load meter 6 may be detected when the ratio of the difference between the first measurement information IFP and the first measurement information IFP is greater than or equal to a predetermined value.
For example, in the cases shown in FIGS. 4 to 6, No. The total weight information IFT of No. 634 is No. 634. Even when compared with the total weight information IFT of No.2. Even when compared with the total weight information IFT of 205, the ratio of the difference between the first measurement information IFP and the second measurement information IFQ to the first measurement information IFP is 2 or more. Therefore, the detection unit 75 detects the No. The total weight information IFT of 634 may be determined to be continuously different in comparison with other total weight information IFT. In such a case, by setting 2 as the predetermined value, the detection unit 75 detects the numbers consecutively determined to be different. The axle load meter 6 that has acquired the axle load information IFA included in 634 may be detected to be malfunctioning.

When the detection unit 75 detects a failure in the axle load meter 6, the notification unit 76 notifies that the axle load meter 6 is out of order.
For example, the notification unit 76 may also notify the lane number in which the axle load meter 6 that measured the measurement information IFM in which the detection unit 75 detected a failure of the axle load meter 6 is installed.
For example, as shown in FIG. 1, the failure detection device 7 is connected to the monitoring device MN of the office R that manages the toll plaza TL, and the notification unit 76 informs the monitoring device MN that the axle load meter 6 is out of order. You may notify that. At this time, if the worker confirms the notification that the axle load gauge 6 is out of order on the display or the like on the monitoring device MN, the worker may replace the out-of-order axle load meter 6 or the like.

(motion)
The operation of the failure detection device 7 of this embodiment will be explained.
The operation of the failure detection device 7 corresponds to the failure detection method of this embodiment.

First, as shown in FIG. 7, the first acquisition unit 71 acquires the vehicle characteristic information IFF of the vehicle AA traveling on the lane LN, and the second acquisition unit 72 acquires the measurement information IFM from the axle load meter 6. (ST01: step of acquiring).
Following the implementation of ST01, the recording processing unit 73 records the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN in association with the measurement information IFM acquired from the axle load meter 6 regarding this vehicle AA ( ST02: Recording step).
Following the implementation of ST02, the comparison unit 74 compares the first measurement information IFP acquired during the first run, which is the measurement information IFM associated with the same vehicle characteristic information IFF, and the second measurement information IFP obtained during the second run. and the second measurement information IFQ (ST03: step of comparing).
Following the implementation of ST03, a failure of the axle load gauge 6 is detected based on the comparison result in ST03 (ST04: detecting step).

(action and effect)
According to this embodiment, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can detect a failure of the axle load gauge 6.

Specifically, as shown in FIG. 8, the failure detection device 7 stores vehicle characteristic information IFF and measurements in the database DB based on information acquired from the lane server 4, the license plate reader 5, and the axle load meter 6. Information IFM can be stored. Further, the failure detection device 7 compares the measurement information IFM if there is the same vehicle characteristic information IFF among the information accumulated in the database DB, and if the difference in the comparison result is more than a predetermined value, it can be determined that there is a failure. .
Therefore, according to the failure detection device 7, the worker can replace the malfunctioning axle load meter 6.

Further, according to an example of the present embodiment, since the vehicle characteristic information IFF includes the license plate information IFN of the vehicle AA, the failure detection device 7 can detect the plurality of acquired license plate information IFNs for the same vehicle AA. measurement information IFM can be compared.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same license plate.

Further, according to an example of the present embodiment, the vehicle characteristic information IFF includes the onboard device ID, which is the identification information IFI of the onboard device α mounted on the vehicle AA, so that the failure detection device 7 can detect the onboard device α. A plurality of acquired measurement information IFM can be compared for vehicles AA having the same identification information IFI.
Therefore, the failure detection device 7 can specify the axle load meter 6 that normally acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA equipped with the same on-vehicle device α.

Further, according to an example of the present embodiment, since the vehicle characteristic information IFF includes the vehicle type information IFC of the vehicle AA, the failure detection device 7 can detect whether the vehicle type information IFC of the on-board device α is acquired for the same vehicle AA. It is possible to compare multiple pieces of measurement information IFM.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA classified into the same vehicle type.

Further, according to an example of the present embodiment, the failure detection device 7 can compare a plurality of acquired weight information IFW.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires weight information IFW different from other weight information IFW, based on the vehicle AA having the same vehicle characteristic information.

Further, according to an example of the present embodiment, the recording processing unit 73 includes the exclusion unit 731, so that the failure detection device 7 can exclude the weight information IFW of the vehicle AA corresponding to overloading from the reference and compare it. Can be done.
Therefore, the failure detection device 7 can easily detect a failure of the axle load meter 6 in a stable manner regardless of whether or not an overloaded vehicle AA is passing.

(Modified example)
In an example of the present embodiment, the comparison unit 74 compares the total weight information IFT as the first measurement information IFP and the second measurement information IFQ, but if it is the weight information IFW, what kind of weight information IFW is compared? You may.
As a modification, the comparison unit 74 compares the axle load information IFA acquired during the first travel as the first measurement information IFP and the axle load information IFA acquired during the second travel as the second measurement information IFQ. It's okay.
As another modification, the comparison unit 74 may compare weight information obtained by calculating the sum of some of the axle loads of the vehicle AA. At that time, the weight information obtained by calculating the sum of some of the axle loads of the vehicle AA obtained during the first run is set as the first measurement information IFP, and the weight information is obtained during the second run. The second measurement information IFQ may be weight information obtained by calculating the sum of some of the axle loads of the vehicle AA.

<Second embodiment>
A failure detection device 7 according to a second embodiment will be described with reference to the drawings.
The configuration of the failure detection device 7 of this embodiment is the same as that of the first embodiment except for the points described below.

For example, as shown in FIG. 9, the measurement information IFM of the vehicle AA acquired by the second acquisition unit 72 may include the number of axes information IFB of the vehicle AA.

For example, the recording processing section 73 may include an exclusion section 732.
The exclusion unit 732 excludes the axle number information IFB of the vehicle AA, which corresponds to a large vehicle, from the measurement information IFM acquired from the axle load meter 6.
For example, the exclusion unit 732 may exclude from the database DB the axle number information IFB of the vehicle AA, which corresponds to a large vehicle and an extra large vehicle, out of the measurement information IFM acquired from the axle load meter 6.

For example, the comparison unit 74 may compare the measurement information IFM in the database DB from which the axle number information IFB of the vehicle AA corresponding to a large vehicle is excluded.

In the cases shown in FIGS. 10 to 12, in the comparing section 74, No. 2 vehicle characteristic information IFF and No. 2 vehicle characteristic information IFF. Vehicle characteristic information IFF of No. 205 and No. The vehicle characteristic information IFF of 634 may be determined to be the same vehicle characteristic information IFF.

For example, the comparison unit 74 may compare the axle number information IFB acquired during the first travel as the first measurement information IFP and the axle number information IFB acquired during the second travel as the second measurement information IFQ. good.

When a database DB as shown in FIG. 10 is accumulated, No. The vehicle characteristic information IFF of 205 is No. This matches the vehicle characteristic information IFF of No. 2. Therefore, the comparison unit 74 compares the No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. The time when each piece of information No. 205 is acquired is defined as the second running time, and No. 205, which is the first measurement information IFP, is acquired. The number of axes information IFB of No. 2 and the second measurement information IFQ. The axis number information IFB of 205 is compared.
Also, in this database DB, as shown in FIG. The vehicle characteristic information IFF of 623 is No. It matches the vehicle characteristic information IFF of 205. Therefore, the comparison unit 74 compares the No. The time when each piece of information of No. 205 was acquired is the first running time, and the time when each information of No. 205 was acquired is the first run. The time when each piece of information No. 623 is acquired is the second running time, and No. 623, which is the first measurement information IFP, is acquired. 205 axis number information IFB and second measurement information IFQ. The number of axes information IFB of 634 may be compared.
Furthermore, in this database DB, as shown in FIG. The vehicle characteristic information IFF of 634 is No. This matches the vehicle characteristic information IFF of No. 2. Therefore, the comparison unit 74 compares the No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. The time when each piece of information No. 634 is acquired is defined as the second running time, and No. 634, which is the first measurement information IFP, is acquired. The number of axes information IFB of No. 2 and the second measurement information IFQ. The number of axes information IFB of 634 may be compared.

For example, the comparison unit 74 may calculate the difference between the first measurement information IFP and the second measurement information IFQ as a result of the comparison.
As shown in FIG. 10, in this database DB, No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. If the time when each information of No. 205 is acquired is the second running time, then No. The axis number information IFB of No. 2 is 2 axes, and No. 2 is 2 axes. The axis number information IFB 205 indicates two axes. Therefore, the comparison unit 74 calculates |2 axes−2 axes|=0 axes as a result of the comparison.
Similarly, as shown in FIG. 11, in this database DB, No. The time when each piece of information of No. 205 was acquired is the first running time, and the time when each information of No. 205 was acquired is the first run. If the time when each piece of information 634 is acquired is the second traveling time, the comparing unit 74 calculates |2 axes−1 axes|=1 axis as a result of the comparison.
Similarly, as shown in FIG. 12, in this database DB, No. The time when each information of No. 2 was acquired is defined as the first running time, and the time when each information of No. 2 is acquired is defined as the first running time. If the time when each piece of information 634 is acquired is the second traveling time, the comparing unit 74 calculates |2 axes−1 axes|=1 axis as a result of the comparison.

For example, if the difference between the comparison results is greater than or equal to a predetermined value, and the difference between the first measurement information IFP and the second measurement information IFQ is greater than or equal to a predetermined value, the detection unit 75 detects a failure in the axle load meter 6 may be detected. In the cases shown in FIGS. 10 to 12, the predetermined value may be set on one axis, for example.

For example, in the case shown in FIGS. 10 to 12, No. The axis number information IFB of No. 634 is No. 634. Even when compared with the axis number information IFB of No.2. Even when compared with the axis number information IFB of 205, the difference between the first measurement information IFP and the second measurement information IFQ is one axis or more. Therefore, the detection unit 75 detects the No. The axis number information IFB of No. 634 may be determined to be continuously different in comparison with other axis number information IFB. In such a case, by setting one axis as the predetermined value, the detection unit 75 detects the number of consecutively determined different numbers. The axle load meter 6 that has acquired the axle number information IFB included in 634 may be detected to be malfunctioning.

(motion)
The operation of the failure detection device 7 of this embodiment will be explained.
The operation of the failure detection device 7 corresponds to the failure detection method of this embodiment.
The operation of this embodiment is similar to that of the first embodiment as described below.

First, as shown in FIG. 7, the first acquisition unit 71 acquires the vehicle characteristic information IFF of the vehicle AA traveling on the lane LN, and the second acquisition unit 72 acquires the measurement information IFM from the axle load meter 6. (ST01: step of acquiring).
Following the implementation of ST01, the recording processing unit 73 records the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN in association with the measurement information IFM acquired from the axle load meter 6 regarding this vehicle AA ( ST02: Recording step).
Following the implementation of ST02, the comparison unit 74 compares the first measurement information IFP acquired during the first run, which is the measurement information IFM associated with the same vehicle characteristic information IFF, and the second measurement information IFP obtained during the second run. and the second measurement information IFQ (ST03: step of comparing).
Following the implementation of ST03, a failure of the axle load gauge 6 is detected based on the comparison result in ST03 (ST04: detecting step).

(action and effect)
According to this embodiment, the failure detection device 7 has the same operation and effect as the first embodiment.

Further, according to an example of the present embodiment, the failure detection device 7 can compare a plurality of pieces of acquired axis number information IFB.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires the axle number information IFB different from other axle number information IFB, based on the vehicle AA having the same vehicle characteristic information.

Further, according to an example of the present embodiment, the recording processing unit 73 includes the exclusion unit 732, so that the failure detection device 7 excludes the axle number information IFB of a large vehicle that may have a lift axle mechanism from the standard. and can be compared.
Therefore, the failure detection device 7 can easily detect a failure of the axle load meter 6 in a stable manner regardless of whether or not a vehicle AA having a lift axle mechanism is passing.

Among the vehicles AA classified as large vehicles, there is a vehicle AA having a lift axle mechanism LA.
As shown in FIG. 13, the vehicle AA having the lift axle mechanism LA can pass the axle load meter 6 with the tires TR floating.
In the vehicle AA having the lift axle mechanism LA, the number of axles provided does not match the number of axles having tires TR that are in contact with the ground.
Therefore, if the axle number information IFB of the vehicle AA that may have a lift axle mechanism is excluded from the reference, it is easier to detect a failure in the axle load meter 6 itself.

(Modified example)
In one example of the present embodiment, the comparison unit 74 calculates the difference between the first measurement information IFP and the second measurement information IFQ as a result of the comparison, but as a modified example, the comparison unit 74 calculates the difference between the first measurement information IFP and the second measurement information IFQ as a result of the comparison. As a result, it may be determined whether the first measurement information IFP and the second measurement information IFQ match.
At this time, the detection unit 75 may detect a failure of the axle load meter 6 when the first measurement information IFP and the second measurement information IFQ do not match.

In an example of the present embodiment, the failure detection device 7 detects a failure by excluding from the reference the axle number information IFB of a large vehicle that may have a lift axle mechanism, Any configuration may be used as long as failures are detected with due consideration.
As a modified example, for a large vehicle, if the difference between the first measurement information IFP and the second measurement information IFQ is two or more axles, the detection unit 75 may detect a failure in the axle load meter 6. good. At this time, for vehicles other than large vehicles, if the difference between the first measurement information IFP and the second measurement information IFQ is one or more axles, the detection unit 75 detects a failure in the axle load meter 6. Good too.
As another modification, for large vehicles and extra-large vehicles, when the difference between the first measurement information IFP and the second measurement information IFQ is two or more axles, the detection unit 75 detects a failure in the axle load meter 6. may be detected. At this time, for vehicles other than large vehicles and extra-large vehicles, if the difference between the first measurement information IFP and the second measurement information IFQ is one or more axles, the detection unit 75 detects a failure of the axle load meter 6. May be detected.

<Third embodiment>
A failure detection device 7 according to a third embodiment will be described with reference to the drawings.
The configuration of the failure detection device 7 of this embodiment is the same as that of the first embodiment or the second embodiment, except for the points described below.

For example, the failure detection device 7 may be connected to each toll collection system 1 of a plurality of toll gates TL.
For example, as shown in FIG. 14, the failure detection device 7 may be connected to each toll collection system 1 of a first toll plaza TL1, a second toll plaza TL2, and a third toll plaza TL3.

By being connected to each toll collection system 1 of a plurality of toll plazas TL, the failure detection device 7 can acquire measurement information IFM of vehicles AA passing through a toll plaza TL across a plurality of toll plazas TL, Vehicle characteristic information IFF and measurement information IFM can be associated and stored in a database.
As a result, a large amount of reference measurement information IFM can be accumulated, making it easy to detect a failure in the axle load meter 6.

<Other variations>
In the example of each embodiment described above, the lane server 4 specifies the vehicle type information IFC, but the vehicle type information IFC may be specified in any manner as long as the vehicle type information IFC can be specified.
As a modification, the first acquisition unit 71 may identify the vehicle type information IFC from the acquired identification information IFI of the vehicle AA.
As another modification, the first acquisition unit 71 may identify the vehicle type information IFC from the acquired license plate information IFN of the vehicle AA.

In the examples of each of the embodiments described above, the comparison unit 74 sets the vehicle characteristic information IFF in which the license plate information IFN, the identification information IFI, and the vehicle type information IFC all match as the same vehicle characteristic information IFF. Any matching vehicle characteristic information IFF of the included information may be the same vehicle characteristic information IFF.
As a modification, the comparison unit 74 may compare vehicle characteristic information IFF with matching vehicle type information IFC as the same vehicle characteristic information IFF.
As another modification, the comparison unit 74 may compare vehicle characteristic information IFF with matching identification information IFI as the same vehicle characteristic information IFF.
As yet another modification, the comparison unit 74 may compare vehicle characteristic information IFF with matching license plate information IFN as the same vehicle characteristic information IFF.

In the examples of the embodiments described above, the failure detection device 7 is provided in an electronic toll collection system, but it may be provided in any system.
As a modification, the failure detection device 7 may be provided in a system including an automatic toll collection machine.
As another modification, the failure detection device 7 may be provided at a manned toll booth where tolls are collected by collectors.

In the examples of the embodiments described above, the failure detection device 7 is provided separately from the axle load meter 6 and the lane server 4, but it may be provided in any manner.
As a modification, the failure detection device 7 may be provided in the axle load meter 6.
As another modification, the failure detection device 7 may be provided in the lane server 4.

In the examples of each of the embodiments described above, the failure detection device 7 is applied to the separate lane type toll collection system 1 installed in the island IS, but as a modified example, the failure detection device 7 is applied to a free flow type toll collection system 1 It may also be applied to toll collection systems.

In the examples of each of the embodiments described above, the failure detection device 7 compares the accumulated measurement information IFM and detects a failure, but at what timing does it compare the measurement information IFM and detect a failure? Good too.
As an example, the failure detection device 7 may detect a failure by accumulating the measurement information IFM for a certain period of time (for example, 24 hours) and then comparing the accumulated measurement information IFM at once.
As another example, the failure detection device 7 may detect a failure by comparing the measurement information IFM every time the measurement information IFM is acquired.

In each of the embodiments described above, the detection unit 75 detects a failure using a uniform predetermined value regardless of the vehicle type, but as a modified example, the detection unit 75 detects a failure using a predetermined value for each vehicle type. Failures may be detected separately.

In each of the embodiments described above, the recording processing unit 73 associates the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN of the toll plaza TL with the measurement information IFM acquired from the axle load meter 6 about the vehicle AA. As recorded, the failure detection device 7 detects a failure in the vehicle AA traveling in the lane LN of the toll plaza TL, but if the vehicle is traveling in the lane LN of the toll plaza TL, it detects a failure only in the lane LN of the toll plaza TL. First, failures may be detected for vehicles traveling in any lane.
As a modified example, the recording processing unit 73 associates the vehicle characteristic information of a vehicle traveling in a lane other than the toll gate with the measurement information acquired from the axle load meter for the vehicle traveling in the lane other than the toll gate. May be recorded.

<Computer hardware configuration>
In each of the embodiments described above, a program for realizing various functions of the failure detection device 7 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is transmitted to a computer system such as a microcomputer. Various processes are performed by loading and executing the program. Here, various processes of the CPU of the computer system are stored in a computer-readable recording medium in the form of a program, and the various processes described above are performed by reading and executing this program by the computer. Further, the computer-readable recording medium refers to a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, and the like. Alternatively, this computer program may be distributed to a computer via a communication line, and the computer receiving the distribution may execute the program.

In each of the embodiments described above, an example of the hardware configuration of a computer that executes programs for realizing various functions of the failure detection device 7 will be described.

As shown in FIG. 15, the computer 79 included in the failure detection device 7 communicates with a CPU 791, a memory 792, a storage/playback device 793, and an Input Output Interface (hereinafter referred to as "IO I/F") 794. Interface (hereinafter referred to as "communication I/F") 795.

The memory 792 is a medium such as a random access memory (hereinafter referred to as "RAM") that temporarily stores data used in a program executed by the failure detection device 7.
The storage/playback device 793 is a device for storing data and the like in external media such as CD-ROM, DVD, and flash memory, and for playing back data and the like from the external media.
The IO I/F 794 is an interface for inputting/outputting information between the failure detection device 7 and other devices.
The communication I/F 795 is an interface for communicating with other devices via a communication line such as the Internet or a dedicated communication line.

<Other embodiments>
Although several embodiments of the present disclosure have been described above, these embodiments are presented as examples and are not intended to limit the scope of the present disclosure. These embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the present disclosure. These embodiments and variations thereof are included within the scope and gist of the disclosure.

<Additional notes>
The failure detection device, toll collection system, failure detection method, and program described in each embodiment can be understood, for example, as follows.

(1) The failure detection device 7 according to the first aspect records the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN and the measurement information IFM acquired from the axle load meter 6 about the vehicle AA in association with each other. The recording processing unit 73, the first measurement information IFP acquired during the first run, which is the measurement information IFM associated with the same vehicle characteristic information IFF, and the second measurement information IFQ acquired during the second run, and a detection section 75 that detects a failure of the axle load meter 6 based on the comparison result.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can detect a failure of the axle load gauge 6.

(2) The failure detection device 7 according to the second aspect is the failure detection device 7 of (1) in which the vehicle characteristic information IFF includes the license plate information IFN of the vehicle AA.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same license plate information IFN.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same license plate.

(3) The failure detection device 7 according to the third aspect is configured according to (1) or (2), in which the vehicle characteristic information IFF includes the onboard equipment ID which is the identification information IFI of the onboard equipment α mounted on the vehicle AA. This is a failure detection device 7.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same identification information IFI of the onboard equipment α.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires the measurement information IFM that is different from other measurement information IFM, based on the vehicle AA equipped with the same on-vehicle device α.

(4) The failure detection device 7 according to the fourth aspect is the failure detection device 7 according to any one of (1) to (3), in which the vehicle characteristic information IFF includes the vehicle type information IFC of the vehicle AA.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle type information IFC of the on-vehicle device α.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA classified into the same vehicle type.

(5) The failure detection device 7 according to the fifth aspect is the failure detection device 7 according to any one of (1) to (4) in which the measurement information IFM includes weight information IFW.

According to this aspect, the failure detection device 7 can compare a plurality of acquired weight information IFW.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires weight information IFW different from other weight information IFW, based on the vehicle AA having the same vehicle characteristic information.

(6) In the failure detection device 7 according to the sixth aspect, the recording processing unit 73 includes an exclusion unit 731 that excludes weight information IFW of the vehicle AA corresponding to overloading from among the acquired weight information IFW ( 5) is the failure detection device 7.

According to this aspect, the failure detection device 7 can exclude the weight information IFW corresponding to overloading of the vehicle AA from the reference for comparison.
Therefore, the failure detection device 7 can easily detect a failure of the axle load meter 6 in a stable manner regardless of whether or not an overloaded vehicle AA is passing.

(7) The failure detection device 7 according to the seventh aspect is the failure detection device 7 according to any one of (1) to (6) in which the measurement information IFM includes the number of axes information IFB.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of acquired axis number information IFB.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires the axle number information IFB different from other axle number information IFB, based on the vehicle AA having the same vehicle characteristic information.

(8) In the failure detection device 7 according to the eighth aspect, the recording processing unit 73 includes an exclusion unit 732 that excludes the axle number information IFB of the vehicle AA corresponding to a large vehicle from the acquired axle number information IFB. This is the failure detection device 7 (7) provided.

According to this aspect, the failure detection device 7 can exclude from the reference the axle number information IFB of a large vehicle that may have a lift axle mechanism for comparison.
Therefore, the failure detection device 7 can stably detect a failure of the axle load meter 6 regardless of whether or not a vehicle AA having a lift axle mechanism is passing.

(9) The toll collection system 1 according to the ninth aspect includes the failure detection device according to any one of (1) to (8) and an axle load meter 6.

According to this aspect, the toll collection system 1 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle characteristic information IFF.
Therefore, the toll collection system 1 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same vehicle characteristic information IFF.
Therefore, the toll collection system 1 can detect a failure of the axle load meter 6.

(10) The failure detection method according to the tenth aspect records the vehicle characteristic information IFF of the vehicle AA traveling in the lane LN and the measurement information IFM acquired from the axle load meter 6 regarding this vehicle AA in association with each other. step, the first measurement information IFP acquired during the first run, which is the measurement information IFM associated with the same vehicle characteristic information IFF, and the second measurement information IFQ acquired during the second run are compared. and a step of detecting a failure of the axle load meter 6 based on the comparison result.

According to this aspect, the failure detection method can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle characteristic information IFF.
Therefore, the failure detection method can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same vehicle characteristic information IFF.
Therefore, the failure detection method can detect a failure of the axle load meter 6.

(11) The program according to the eleventh aspect sends to the computer 79 of the failure detection device 7 vehicle characteristic information IFF of the vehicle AA traveling in the lane LN and measurement information IFM acquired from the axle load meter 6 regarding this vehicle AA. and a step of recording the first measurement information IFP obtained during the first run, which is the measurement information IFM associated with the same vehicle characteristic information IFF, and the second measurement obtained during the second run. A step of comparing the information IFQ and a step of detecting a failure of the axle load meter 6 based on the comparison result are executed.

According to this aspect, the failure detection device 7 can compare a plurality of pieces of measurement information IFM acquired for vehicles AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can specify the axle load meter 6 that acquires measurement information IFM different from other measurement information IFM, based on the vehicle AA having the same vehicle characteristic information IFF.
Therefore, the failure detection device 7 can detect a failure of the axle load gauge 6.

1 Toll collection system 2 Vehicle detector 3 Communication antenna 4 Lane server 5 License plate reader 6 Axle load meter 7 Failure detection device 9 Host device 21 Light emitter/receiver 21A Light emitter 21B Light receiver 61 Measurement unit 62 Processing unit 71 First acquisition unit 72 Second acquisition unit 73 Record processing unit 74 Comparison unit 75 Detection unit 76 Notification unit 79 Computer 611 Load sensor 612 Axle detection sensor 621 Axle load data acquisition unit 622 Axle detection signal acquisition unit 623 Axle load information identification unit 624 Axle number information identification section 625 output section 731 exclusion section 732 exclusion section 791 CPU
792 Memory 793 Storage/playback device 794 IO I/F
795 Communication I/F
AA Vehicle DA Axle load data DB Database GN Gantry IFA Axle load information IFB Axle number information IFC Vehicle type information IFF Vehicle characteristic information IFI Identification information IFM Measurement information IFN License plate information IFP First measurement information IFQ Second measurement information IFT Total weight information IFW Weight information IS Island LA Lift axle mechanism LN Lane MN Monitoring device R Office SA Axle detection signal TL Toll plaza TL1 First toll plaza TL2 Second toll plaza TL3 Third toll plaza TR Tire XA Entry detection position α Onboard equipment

Claims (11)

a recording processing unit that records vehicle characteristic information of a vehicle traveling in a lane in association with measurement information acquired from an axle load meter for the vehicle;
a comparison unit that compares first measurement information acquired during a first run and second measurement information acquired during a second run, which are the measurement information associated with the same vehicle characteristic information;
a detection unit that detects a failure of the axle load meter based on the comparison result;
A failure detection device comprising: The failure detection device according to claim 1, wherein the vehicle characteristic information includes license plate information of the vehicle. The failure detection device according to claim 1 or 2, wherein the vehicle characteristic information includes an on-vehicle device ID that is identification information of an on-vehicle device mounted on the vehicle. The failure detection device according to any one of claims 1 to 3, wherein the vehicle characteristic information includes vehicle type information of the vehicle. The failure detection device according to any one of claims 1 to 4, wherein the measurement information includes weight information. The failure detection device according to claim 5, wherein the recording processing section includes an exclusion section that excludes the weight information of the vehicle corresponding to overloading from among the acquired weight information. The failure detection device according to any one of claims 1 to 6, wherein the measurement information includes information on the number of axes. The failure detection device according to claim 7, wherein the recording processing section includes an exclusion section that excludes the axle number information of the vehicle corresponding to a large vehicle from among the acquired axle number information. A failure detection device according to any one of claims 1 to 8,
The axle load meter;
A toll collection system equipped with a step of correlating and recording vehicle characteristic information of a vehicle traveling in a lane and measurement information obtained from an axle load meter for the vehicle;
a step of comparing first measurement information acquired during a first run and second measurement information acquired during a second run, which are the measurement information associated with the same vehicle characteristic information;
Detecting a failure of the axle load meter based on the comparison result;
Failure detection methods including. In the computer of the failure detection device,
a step of correlating and recording vehicle characteristic information of a vehicle traveling in a lane and measurement information obtained from an axle load meter for the vehicle;
a step of comparing first measurement information acquired during a first run and second measurement information acquired during a second run, which are the measurement information associated with the same vehicle characteristic information;
Detecting a failure of the axle load meter based on the comparison result;
A program to run.

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