Vehicle weight measurement system, vehicle weight measurement method, and vehicle weight measurement program

Abstract

To measure a weight of vehicle with high accuracy.SOLUTION: A vehicle weight measurement system 10 comprises a plurality of instruments 20A-20N, a reference data storage part 391, and a determination part 33. The plurality of instruments 20A-20N are deployed on different locations A-N, respectively, then measure a weight of a vehicle 90 at the respective locations A-N. The reference data storage part 391 stores reference data for each vehicle type for each of the plurality of instruments 20A-20N. The determination part 33 corrects the weight of the vehicle that the plurality of instruments 20A-20N measured with a correction value obtained from the reference data to calculate the weight of the vehicle for determination, then determines the acceptance for a prescribed weight regulation using the weight of the vehicle for determination.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a technique for measuring the weight of a vehicle while it is moving. [Background technology]

[0002] Conventionally, various techniques for measuring the weight of a vehicle traveling on a road have been devised. For example, an axle load measurement system disclosed in Patent Document 1 measures the weight of a traveling vehicle from the output of an axle load sensor installed on the road. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2009-216674 A Summary of the Invention [Problem to be solved by the invention]

[0004] The measurement value of the axle load sensor contains errors. These errors include errors due to sudden factors such as vibrations and errors due to deterioration of the axle load sensor over time.

[0005] However, in conventional vehicle weight measurement systems, it has been difficult to suppress such errors and measure the vehicle weight with high accuracy.

[0006] An object of the present invention is to measure the weight of a vehicle with high accuracy. [Means for solving the problem]

[0007] In order to achieve the above object, the vehicle weight measurement system of the present invention is configured as follows.

[0008] This vehicle weight measurement system includes a plurality of vehicle weight measuring devices, a reference data storage unit, and a judgment unit. The plurality of vehicle weight measuring devices are arranged at different locations and measure the weight of the vehicle at each location. The reference data storage unit stores reference data for each of the plurality of vehicle weight measuring devices and for each vehicle type. The judgment unit corrects the vehicle weight measured by the plurality of vehicle weight measuring devices with a correction value obtained from the reference data to calculate a judgment vehicle weight, and uses this judgment vehicle weight to judge whether the vehicle complies with a predetermined weight regulation.

[0009] In this configuration, the correction value is set using the past vehicle weights that were measured correctly, and also using the results from multiple locations. This makes it possible to correct errors due to aging and sudden factor Therefore, the vehicle weight for determination is a highly accurate value in which these errors are suppressed.

[0010] The determination unit may calculate the correction value using a difference value between the measurement value of each of the plurality of vehicle weight measuring instruments and the reference data.

[0011] The determination unit may calculate the correction value by using an average value of the difference values ​​for each of the plurality of vehicle weight measuring devices.

[0012] The determination section may calculate the correction value using the difference value and a statistically calculated value of the difference value.

[0013] The vehicle may be provided with a judgment target data storage unit that stores the vehicle weight measured by each of the multiple vehicle weight measuring devices multiple times prior to the timing of judgment as judgment target data, and the judgment unit may calculate a judgment vehicle weight using the vehicle weight measured by each of the multiple vehicle weight measuring devices at the timing of judgment and the judgment target data.

[0014] The reference data storage unit may store the reference data according to the type of vehicle, the multiple vehicle weight measuring instruments may acquire vehicle identification information, and the determination unit may calculate a correction value using the reference data according to the vehicle type based on the vehicle identification information.

[0015] The reference data storage section may store the reference data according to the type of measurement date, and the determination section may calculate the correction value using the reference data according to the type of measurement date.

[0016] The device may further include a warning information transmission unit that generates and transmits warning information using the result of the determination.

[0017] A warning device for notifying warning information may be provided.

[0018] A vehicle weighing system according to claim 7. Effect of the Invention

[0019] According to the present invention, the vehicle weight can be measured with high accuracy. [Brief description of the drawings]

[0020] [Figure 1] FIG. 1 is a diagram showing the concept of a vehicle weight measurement technique according to this example. [Diagram 2] 1 is a block diagram showing a configuration example of a vehicle weight measurement system according to this embodiment. [Diagram 3] FIG. 2 is a block diagram showing an example of the configuration of a server of the vehicle weight measurement system according to this example. [Figure 4] 13 is a flowchart showing an example of a method for creating reference data. [Diagram 5] 13 is a flowchart illustrating an example of a determination method. [Figure 6] 10 is a flowchart showing an example of a method for storing vehicle weight in a determination target data storage unit. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0021] Hereinafter, an embodiment of the present invention will be described.

[0022] <1. Application Examples> FIG. 1 is a diagram showing the concept of a vehicle weight measurement technique according to this example.

[0023] A plurality of measuring instruments 20A, 20B, ..., 20N (hereinafter, when collectively referred to as a plurality of measuring instruments 20A-20N) are installed at a plurality of points A, B, ..., N (hereinafter, when collectively referred to as a plurality of points AN) on the road RD. The plurality of measuring instruments 20A-20N are, for example, axle load scales.

[0024] The multiple measuring instruments 20A-20N measure the vehicle weight of a vehicle 90 traveling on a road RD and obtain license plate information (NB information: corresponding to vehicle identification information). The multiple measuring instruments 20A-20N transmit the vehicle weight and the NB information to the server 30 via the network 100.

[0025] The server 30 stores reference data categorized by the types of the measuring instruments 20A-20N, the vehicle model, and the measurement date. The reference data is created, for example, from vehicle weights measured within a predetermined learning period from the date on which the measuring instruments 20A-20N are installed. In other words, the reference data is created from vehicle weights measured during a period when the measuring instruments 20A-20N were able to measure vehicle weights normally (a period during which the probability of measuring vehicle weights normally being measured is very high).

[0026] The server 30 calculates a correction value using the measured vehicle weight of the vehicle 90 transmitted from the multiple measuring instruments 20A-20N and the reference data. The correction value is a difference value between the measured vehicle weight and the reference data, and has a first correction value according to aging deterioration, and a second correction value that is a variance of the first correction value caused by using multiple measuring instruments and suppresses unexpected factors.

[0027] The server 30 corrects the measured vehicle weight with the correction value to calculate the judgment vehicle weight.

[0028] The server 30 uses the determination vehicle weight to determine whether or not the vehicle is overweight. If the server 30 determines that the vehicle is overweight, it transmits warning information indicating that the vehicle is overweight to the warning device 40.

[0029] When the warning device 40 receives the warning information, it displays the warning information and notifies the driver of the vehicle 90 of the warning information.

[0030] In this way, by using the vehicle weight measurement technique according to this example, errors due to deterioration of the multiple measuring instruments 20A-20N over time and errors due to unexpected factors are suppressed, and the vehicle weight can be measured with high accuracy.

[0031] <2. Configuration example> 2 is a block diagram showing a configuration example of a vehicle weight measurement system according to this embodiment. As shown in FIG. 2, the vehicle weight measurement system 10 includes a plurality of measuring instruments 20A-20N, a server 30, a warning device 40, and a network 100.

[0032] The measuring instruments 20A-20N are the same measuring instruments, for example, axle load scales, and are disposed at a plurality of points AN along the road RD, as shown in FIG.

[0033] Each of the multiple measuring instruments 20A-20N includes a weight measurement sensor 21, a measurement processing unit 22, and a communication unit 23. For example, multiple weight measurement sensors 21 are arranged at each point, and measure the vehicle weight of a vehicle 90 traveling on a road RD by a known method. The measurement processing unit 22 calculates the vehicle weight to be output as the measuring instruments 20A-20N by a known method from the vehicle weights measured by the multiple weight measurement sensors 21. The communication unit 23 transmits the vehicle weight output from the measurement processing unit 22 to the server 30 via the network 100.

[0034] At this time, the measuring instruments 20A-20N acquire license plate information (NB information: vehicle identification information) of the vehicle 90 using a camera and an image processing device (not shown). The communication unit 23 associates the vehicle weight with the NB information and transmits it to the server 30.

[0035] For example, measuring instrument 20A is installed at point A and transmits the vehicle weight of vehicle 90 measured at point A together with the NB information to server 30. Measuring instrument 20B is installed at point B and transmits the vehicle weight of vehicle 90 measured at point B together with the NB information to server 30. Measuring instrument 20N is installed at point N and transmits the vehicle weight of vehicle 90 measured at point N together with the NB information to server 30.

[0036] Fig. 3 is a block diagram showing a configuration example of a server of the vehicle weight measurement system according to this example. As shown in Fig. 3, the server 30 includes a data receiving unit 31, a matching processing unit 32, a judgment unit 33, a warning information transmitting unit 34, a reference data storage unit 391, and a judgment target data storage unit 392. The judgment unit 33 includes an information acquiring unit 331, a correction value calculating unit 332, and a judgment calculating unit 333.

[0037] The server 30 is composed of, for example, a computer, a program that is executed on the computer to realize the functions of the functional units that constitute the server 30, and a storage medium that has a storage area for the program and a working area for executing the program.

[0038] The data receiving unit 31 receives the vehicle weight (measured vehicle weight) and the NB information from the multiple measuring instruments 20A-20N. The data receiving unit 31 outputs the measured vehicle weight and the NB information to the judgment target data storage unit 392. The data receiving unit 31 also outputs the NB information to the matching processing unit 32.

[0039] The determination target data storage unit 392 includes databases 392A-392N for each location AN. The databases 392A-392N store the vehicle weights measured for each location AN over the last several days in association with the NB information.

[0040] For example, database 392A stores vehicle weights measured over the most recent days at point A linked to NB information. Database 392B stores vehicle weights measured over the most recent days at point B linked to NB information. Database 392N stores vehicle weights measured over the most recent days at point N linked to NB information.

[0041] Each time the latest measured vehicle is input, the databases 392A-392N update the measured vehicle weights for the most recent days to include the most recent measured vehicle. The databases 392A-392N can also store the average value of the measured vehicle weights for the most recent days for each point AN in association with the NB information.

[0042] The matching processing unit 32 inquires whether the vehicle weights measured on the most recent multiple days linked to the NB information are stored in the judgment target data storage unit 392, using the NB information from the data receiving unit 31. If the vehicle weights measured on the most recent multiple days linked to the NB information are stored, the matching processing unit 32 outputs the NB information to the information acquiring unit 331.

[0043] Based on the NB information, the information acquisition unit 331 acquires the measured vehicle weight from the judgment target data storage unit 392. Also, the information acquisition unit 331 acquires reference data from the reference data storage unit 391 based on the NB information.

[0044] The reference data storage unit 391 includes databases 391A-391N for each point AN. In the databases 391A-391N, reference data for each point AN is stored in association with NB information.

[0045] The reference data is the average value of the measured vehicle weights over a number of days in the past. More specifically, the reference data is the average value of the measured vehicle weights over a period in the past during which the measuring instruments 20A-20N were able to measure vehicle weights normally. For example, the reference data is the average value of the measured vehicle weights over a period of a predetermined number of days (learning period) from the day the measuring instruments 20A-20N were installed.

[0046] For example, database 391A stores the average vehicle weight measured during the learning period at point A (reference data for point A) linked to the NB information. Database 391B stores the average vehicle weight measured during the learning period at point A (reference data for point B) linked to the NB information. Database 391N stores the average vehicle weight measured during the learning period at point N (reference data for point N). N The reference data is stored in association with the NB information. The databases 391A-391N may store reference data for each vehicle category (medium-sized vehicle, large vehicle, etc.) based on the NB information.

[0047] The information acquisition unit 331 outputs the measured vehicle weights and the reference data acquired over the most recent several days to the correction value calculation unit 332 and the judgment calculation unit 333 .

[0048] The correction value calculation unit 332 calculates a correction value using the acquired average value of the measured vehicle weights for the most recent several days and the reference data (average value of the measured vehicle weights for the learning period). More specifically, the correction value calculation unit 332 calculates the difference value between the average value of the measured vehicle weights for the most recent several days and the reference data for each point AN. The correction value calculation unit 332 calculates the average value of the difference values ​​for the multiple points AN and sets this average value as the first correction value. As a result, the first correction value becomes a correction value that represents errors due to aging of the multiple measuring instruments 20A-20N included in the measured vehicle weights.

[0049] The correction value calculation unit 332 calculates the variance of the first correction value, more specifically, the variance indicating the variation due to the difference between the multiple points AN, and sets this variance as the second correction value. As a result, the second correction value becomes a correction value that indicates an error due to an unexpected cause occurring in a single measuring device included in the measured vehicle weight. Note that although the variance is used here, other statistical calculation values ​​(such as standard deviation) can also be used.

[0050] The correction value calculation section 332 outputs the first correction value and the second correction value to the judgment calculation section 333 .

[0051] The determination calculation unit 333 corrects the current measured vehicle weight using the first correction value and the second correction value to calculate the determination vehicle weight. For example, the determination calculation unit 333 calculates the determination vehicle weight by subtracting the first correction value from the current measured vehicle weight and adding a correction value set by the second correction value and the number of sample data.

[0052] By calculating the determination vehicle weight as described above, errors due to deterioration of the measuring device over time and errors due to unexpected factors included in the determination vehicle weight are suppressed. Therefore, the determination calculation unit 333 can calculate the vehicle weight of the vehicle 90 with high accuracy.

[0053] The determination calculation unit 333 compares the weight regulation based on the NB information with the determination vehicle weight. The weight regulation based on the NB information is set, for example, by the upper limit vehicle weight of the vehicle type obtained from the NB information.

[0054] If the determination vehicle weight exceeds the weight regulation, the determination calculation unit 333 determines that the vehicle is overweight. At this time, the vehicle weight of the vehicle 90 is calculated with high accuracy as described above, so that the determination calculation unit 333 can determine whether the vehicle is overweight with high accuracy. In other words, the determination calculation unit 333 can suppress erroneous determination.

[0055] If the determination calculation unit 333 determines that the weight is exceeded, it generates warning information and outputs the warning information to the warning information transmission unit 34.

[0056] The warning information transmitting unit 34 transmits the warning information to the warning device 40 .

[0057] The warning device 40 includes, for example, a display device installed on the road RD ahead of the point N. When the warning device 40 receives the warning information, it displays the warning information.

[0058] This enables the vehicle weight measurement system 10 to notify the driver of the vehicle 90 that the vehicle is overweight.

[0059] <3. Example of operation> The operation of the vehicle weight measurement system 10 of this embodiment will be described below. Fig. 4 is a flow chart showing an example of a method for creating reference data.

[0060] The server 30 and the measuring instruments 20A-20N receive a learning start trigger for reference data (S50). The measuring instruments 20A-20N measure the vehicle weight and acquire NB information. The server 30 acquires the vehicle weight and NB information measured and acquired by the measuring instruments 20A-20N from the measuring instruments 20A-20N (S51).

[0061] The server 30 identifies the vehicle model based on the NB information, and classifies the vehicle weight into categories according to the vehicle model (S52). At this time, the server 30 classifies the vehicle weight for each point AN.

[0062] The server 30 repeats obtaining and classifying the vehicle weight and NB information until the learning period ends (S53: NO).

[0063] When the learning period ends, the server 30 calculates the average vehicle weight for each location AN and for each category, and sets the average vehicle weight as the reference data (S54).

[0064] The server 30 calculates a statistical value (e.g., variance) of each average value (S55). If the statistical value is within an allowable range for reference data (within an allowable range of variation) (S56: YES), the server 30 adopts this reference data (S57) and stores it in the databases 391A-391N of the reference data storage unit 391.

[0065] If the statistical value is not within the allowable range (within the allowable variation range) (S56: NO), the server 30 does not adopt this reference data (S58). In this case, for example, the server 30 sets the reference data again. At this time, if reference data exists in the past, the server 30 may adopt this past reference data.

[0066] Fig. 5 is a flowchart showing an example of the determination method. Note that the specific contents of each process shown in Fig. 5 have been described above, and description will be omitted except for necessary points.

[0067] The determination unit 33 waits until the determination timing (S11: NO), and when the determination timing arrives (S11: YES), performs matching processing using the NB information (S12). The determination timing is, for example, the timing at which the measured vehicle weight is acquired from the measuring device 20N at the warning determination point (point N) as shown in FIG.

[0068] The determination unit 33 inquires of the determination target data storage unit 392 and the reference data storage unit 391, and if there is a measurement record (measured vehicle weight, reference data) linked to the NB information (S13: YES), the determination unit 33 reads out the data. If there is no measurement record (measured vehicle weight, reference data) linked to the NB information (S13: NO), the determination unit 33 postpones the current determination.

[0069] The determination unit 33 reads out the determination target data (vehicle weights measured on the most recent multiple days) from the determination target data storage unit 392 (S14). The determination unit 33 reads out the reference data from the reference data storage unit 391 (S15).

[0070] The determination unit 33 calculates a correction value (the above-mentioned first correction value) corresponding to aging deterioration from the determination target data and the reference data (S16). The determination unit 33 further calculates a variance of the correction value (the above-mentioned second correction value) corresponding to sudden variations in each measuring device (S17).

[0071] The determination unit 33 calculates a determination vehicle weight using the measured vehicle weight, the correction value, and the variance of the correction value (S18).

[0072] If the vehicle weight for determination is a warning target (a state in which the vehicle weight exceeds the weight regulation) (S19: YES), the determination unit 33 generates and transmits warning information (S20). If the vehicle weight for determination is not a warning target (S19: NO), the determination unit 33 does not generate warning information.

[0073] By this process, the vehicle weighing method executed by the vehicle weighing system 10 can measure the vehicle weight with high accuracy and determine whether the vehicle is overweight with high accuracy.

[0074] <4. Modifications> Next, a modified example of the vehicle weight measurement system will be described.

[0075] Variation 1 6 is a flowchart showing an example of a method for storing vehicle weight in the determination target data storage unit. As shown in FIG. 6, in this method for storing vehicle weight in the determination target data storage unit, the measured vehicle weight to be stored is successively updated to the latest one.

[0076] The server 30 acquires vehicle weight (measured vehicle weight) and NB information from the multiple measuring instruments 20A-20N (S41), and classifies them by location (S42).

[0077] The server 30 checks the storage state of the judgment target data storage unit 392, and if the upper limit of the storage capacity of each database has not been reached (S43: NO), additionally stores the vehicle weight and NB information in each database of the judgment target data storage unit 392 (S44).

[0078] If the upper limit of the storage capacity of each database has been reached (S43: YES), the server 30 updates and stores the vehicle weight and NB information in each database of the judgment target data storage unit 392 (S45). More specifically, for example, the server 30 overwrites the oldest measured vehicle weight with the latest measured vehicle weight in each database of the judgment target data storage unit 392 so that the latest measured vehicle weight is stored.

[0079] Repeating such a process return As a result, the latest measured vehicle weight for a predetermined number of days is always stored in the judgment target data storage unit 392. This allows the correction value calculation unit 332 to calculate a correction value that better reflects the current state of the measuring device.

[0080] In this case, the upper limit of data storage is determined based on the capacity of the database, but it may be determined based on the number of days. For example, the judgment target data storage unit 392 may store the measured vehicle weight for a predetermined number of days in the past, starting from the current measurement date.

[0081] Variation 2 In the storage process of the reference data storage unit 391 described above, the process of calculating the statistical value of the reference data and deciding whether to adopt or not can be omitted. For example, when multiple measuring instruments 20A-20N that have been calibrated in advance at the time of shipment from the factory are installed, a predetermined learning period is set from the installation date as the starting date. In this case, the process of calculating the statistical value of the reference data and deciding whether to adopt or not can be omitted.

[0082] Variation 3 In the above description, the measurement is performed at a plurality of points A N. However, by performing the measurement at at least two points, as described above, the vehicle weight can be measured with high accuracy.

[0083] In this case, for example, the following process can be adopted.

[0084] The measuring instruments at the two locations each measure the vehicle weight and transmit the measured weight to the server. The server stores the reference data of the measuring instruments at the two locations. The reference data is, for example, the average vehicle weight measured at the two locations within a learning period.

[0085] The server corrects the measured vehicle weight with the reference data for each location. More specifically, the correction value calculation unit of the server calculates the average value of the measured vehicle weights for the most recent specified number of days at two locations. The correction value calculation unit of the server calculates the correction value for each location by subtracting the reference data (the average value of the measured vehicle weights during the learning period) from the average value of the measured vehicle weights for each location.

[0086] The server's determination calculation unit corrects the measured vehicle weight for each point with a correction value for each point. The server's determination calculation unit calculates a determination vehicle weight by calculating an average value of the corrected measured vehicle weights for each point.

[0087] By carrying out such processing, the vehicle weight measurement system of the third modification can measure the vehicle weight with high accuracy.

[0088] <Additional Notes> A plurality of vehicle weight measuring devices (20A-20N) are arranged at a plurality of different points (AN) and measure the weight of a vehicle 90 at each point (AN); A reference data storage unit 391 that stores reference data for each of the plurality of vehicle weight measuring instruments (20A-20N); a determination unit 33 that calculates a vehicle weight for determination by correcting the vehicle weight measured by the plurality of vehicle weight measuring devices (20A-20N) with a correction value obtained from reference data, and determines whether the vehicle meets a predetermined weight regulation using the vehicle weight for determination; Equipped with Vehicle weighing system (10). [Explanation of symbols]

[0089] 10: Vehicle weight measurement system 20A, 20B, 20N: Measuring instruments 21: Weight measurement sensor 22: Measurement processing unit 23: Communications Department 30: Server 31: Data receiving unit 32: Matching processing section 33: Judgment section 34: Warning information transmission unit 40: Warning device 90: Vehicle 100: Network 331: Information acquisition department 332: Correction value calculation unit 333: Judgment calculation section 391: Reference data storage unit 391A, 391B, 391N: Database 392: Judgment target data storage unit 392A, 392B, 392N: Database

Claims

1. A plurality of vehicle weight measuring devices are arranged at a plurality of different locations, and measure the weight of a vehicle at each location and acquire identification information of the vehicle; a reference data storage unit that stores reference data for each of the plurality of vehicle weight measuring instruments according to a vehicle type; a determination unit that calculates a vehicle weight for determination by correcting the vehicle weights measured by the plurality of vehicle weight measuring devices with a correction value obtained from the reference data, and determines whether the vehicle meets a predetermined weight regulation using the vehicle weight for determination, The determination unit calculates the correction value using reference data corresponding to the type of the vehicle based on the identification information of the vehicle. Vehicle weight measurement system.

2. The determination unit is calculating the correction value using a difference value between the measurement values ​​of each of the plurality of vehicle weight measuring instruments and the reference data; 2. A vehicle weighing system according to claim 1.

3. The determination unit is calculating the correction value using a difference value between average values ​​of the measurement values ​​for each of the plurality of vehicle weight measuring instruments; 3. A vehicle weighing system according to claim 2.

4. The determination unit is calculating the correction value using the statistically calculated value of the difference value and the difference value; 4. A vehicle weight measurement system according to claim 2 or 3.

5. a determination target data storage unit that stores, as determination target data, vehicle weights measured by each of the vehicle weight measuring devices a plurality of times prior to the timing of the determination; The determination unit is calculating the judgment vehicle weight using the vehicle weights measured by each of the plurality of vehicle weight measuring devices at the timing of the judgment and the judgment target data; 5. A vehicle weight measurement system according to claim 1.

6. a warning information transmission unit that generates and transmits warning information using a result of the determination; 6. A vehicle weight measurement system according to claim 1.

7. a warning device for notifying the warning information; 7. A vehicle weighing system according to claim 6.

8. The computer that measures the vehicle weight An acquisition step of acquiring vehicle weights measured at a plurality of different points and acquiring vehicle identification information; a storage step of storing reference data for each of the plurality of points that is set based on normal measurement values ​​of the vehicle weight according to a type of vehicle; a determination step of calculating a vehicle weight for determination by correcting the vehicle weights measured at the plurality of points with a correction value obtained from the reference data, and determining whether the vehicle meets a predetermined weight regulation using the vehicle weight for determination; The vehicle weight measurement method, wherein the determining step is a step of calculating the correction value using reference data corresponding to the type of the vehicle based on the identification information of the vehicle.

9. The computer that measures the vehicle weight An acquisition step of acquiring vehicle weights measured at a plurality of different points and acquiring vehicle identification information; a storage step of storing reference data for each of the plurality of points that is set based on normal measurement values ​​of the vehicle weight according to a type of vehicle; a step of calculating a vehicle weight for judgment by correcting the vehicle weights measured at the plurality of points with a correction value obtained from the reference data, and using the vehicle weight for judgment to judge whether the vehicle meets a predetermined weight regulation; The vehicle weight measurement program, wherein the determining step is a step of calculating the correction value using reference data corresponding to a type of the vehicle based on identification information of the vehicle.

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