JP2010261825A - Weight-measuring device of traveling vehicle, and sensitivity correction method for weight sensor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a weight-measuring device of a traveling vehicle maintaining required measurement accuracy at all times, by automatically correcting the sensitivity of a weight sensor, without interrupting weight measurement. <P>SOLUTION: Traveling vehicle information, including the total weight of the traveling vehicles, is calculated, based on an output signal from the weight sensor, and it is determined whether the traveling vehicle is a specified vehicle. When the traveling vehicle is the specified vehicle, the calculated traveling vehicle information is preserved, and when the number of the traveling vehicle information reaches a prescribed number or more, a correction coefficient is calculated, based on the total weight of the traveling vehicles and the total weight of the specified vehicles. Then, the present correction coefficient is updated by the calculated new correction coefficient. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an apparatus for measuring the weight of a traveling vehicle using a weight sensor installed on a traveling path, and to a sensitivity correction method for the weight sensor in the apparatus.

  In order to obtain road maintenance information, measurement data such as the total weight of a large vehicle measured by the axle load measuring device is collected by a host device, and statistical processing is performed on the collected data. The axle load measuring device measures the axle load, which is the vertical force applied to the road surface by the axle of the traveling vehicle, based on the output signal of the axle load sensor embedded in the running road, and adds the axle weight of each axis to the total weight. Ask for.

  There are two types of axle weight sensors: a loading plate type and a bar type. The loading plate type axle load sensor detects the entire axle load of the traveling vehicle with a loading plate wider than the tire contact width, and the rod type axle load sensor is a sensor narrower than the tire contact width. Detects the partial pressure value of axle load. In the rod-type shaft weight sensor, the shaft weight is calculated by integrating the divided pressure values.

  When measuring the axle load with the axle load sensor, if the traveling vehicle vibrates due to road surface unevenness or acceleration / deceleration, the instantaneous value of the axle load fluctuates. It is not possible to obtain an accurate value only by itself. For this reason, a plurality of axle load sensors are arranged along the traveling road, and the measurement error is reduced by averaging the measurement values of the axle load sensors.

  However, since the sensitivity of the axle load sensor fluctuates due to changes over time, the error in the measurement value of each axle load sensor increases with the passage of time, and the measurement accuracy in the axle load measuring device decreases.

  Therefore, periodically, a test vehicle with a known axle weight is run on the axle weight sensor a predetermined number of times, and the measured value of the axle weight is compared with the known axle weight value so that the measured value is within a predetermined accuracy range. There is a method to verify whether or not. In this case, when the measurement value is out of the predetermined accuracy range, the sensitivity of the axial load sensor is adjusted to correct the measurement value so that the necessary measurement accuracy can be obtained. In addition, when the predetermined measurement accuracy cannot be obtained even by this correction, sensor replacement or road surface repair work is performed.

  However, in the above method, it is necessary to prepare a test vehicle and run it many times, which requires a lot of costs and labor. Therefore, it is not practical to frequently verify the measurement accuracy. For this reason, the sensitivity of the sensor may change before the verification, and the measured value may fall outside the predetermined accuracy range. In such a case, since it is unclear when the measured value is out of the accuracy range, there is a problem that the reliability of the measured value is impaired.

  As a countermeasure against this, the present applicant has previously proposed an axle load measuring apparatus that determines and notifies an abnormality in measurement accuracy of axle load without running a test vehicle (see Patent Document 1). In this axle load measuring device, specific vehicle discrimination information for discriminating a specific vehicle (for example, a self-propelled crane) and an allowable range of a weight measurement value of the specific vehicle are stored in a storage unit in advance, and the traveling vehicle Whether or not the traveling vehicle is a specific vehicle is determined based on the traveling vehicle information obtained from the above and the specific vehicle determination information. When it is determined that the traveling vehicle is a specific vehicle, it is determined whether or not the weight measurement value of the traveling vehicle is within an allowable range. The result is transmitted to the host device.

JP 2006-226812 A

  According to the axle load measuring device of Patent Document 1 described above, a warning is output when the weight measurement value of a specific vehicle falls outside the allowable range due to a change in sensitivity of the axle load sensor. However, it is possible to know abnormalities in measurement accuracy, but use the axle load measuring device after the measured value is out of the allowable range until the sensitivity accuracy of the axle load sensor is corrected and the measurement accuracy is improved. Therefore, there is a problem that measurement cannot be performed.

  In view of the above problems, the present invention provides a weight measuring device for a traveling vehicle that can automatically correct the sensitivity of the weight sensor without interrupting the weight measurement and always maintain the necessary measurement accuracy. It is intended to provide.

  A traveling vehicle weight measurement device according to the present invention is a device that measures the weight of a traveling vehicle by a weight sensor installed on a traveling path, and calculates traveling vehicle information of the traveling vehicle based on an output signal of the weight sensor. First calculation means, first storage means for storing specific vehicle determination information for determining that the traveling vehicle is a specific vehicle, and a first correction coefficient for correcting a measurement value by the weight sensor 2 and a determination means for determining whether or not the traveling vehicle is a specific vehicle based on the specific vehicle determination information stored in the first storage means, and the determination means determines that the vehicle is a specific vehicle. Based on the traveling vehicle information of the traveling vehicle and the specific vehicle discrimination information, the second calculation means for calculating the correction coefficient and the correction coefficient calculated by the second calculation means are stored in the second storage means. Complement And a updating means for updating the coefficients.

  According to such a configuration, when the traveling vehicle is determined to be the specific vehicle, the correction coefficient is calculated based on the traveling vehicle information and the specific vehicle determination information of the traveling vehicle, and the second correction coefficient is calculated based on the calculated correction coefficient. The correction coefficient stored in the storage unit is updated. Therefore, the correction coefficient can be calculated and updated while measuring with the weight measuring device, and the sensitivity of the weight sensor is automatically corrected by updating the correction coefficient, so that the necessary measurement accuracy is always maintained. It becomes possible.

  In a preferred embodiment of the present invention, a plurality of weight sensors are provided, a correction coefficient is stored for each weight sensor in the second storage means, and the second calculation means is corrected for each weight sensor. Calculate the coefficient.

  According to such a configuration, sensitivity can be corrected for each weight sensor, so that it is possible to cope with changes in the characteristics of a single sensor, changes in the sensor embedded state on the road surface, etc., and further increases measurement accuracy. it can.

  In a preferred embodiment of the present invention, when the traveling vehicle is determined to be a specific vehicle by the determination unit, the storage device further includes a third storage unit that stores the traveling vehicle information calculated by the first calculation unit. When the traveling vehicle information stored in the third storage unit exceeds a predetermined number, the calculating unit includes the total value of the total weight or axle load of the traveling vehicle included in the traveling vehicle information and the specific vehicle determination information. The correction coefficient is calculated as a ratio to the total weight or axle weight of the specific vehicle.

  In this way, by using the average value of the total weight or the shaft weight, it is possible to prevent the measurement error for each measurement from greatly affecting the calculation of the correction coefficient. In calculating the average value, a simple average obtained by dividing the total of all measured total weights or axle weights by the number of measurements may be obtained, or a moving average of the latest predetermined number of total weights or axle weights may be obtained. Good.

  In a preferred embodiment of the present invention, a comparison means for comparing the correction coefficient calculated by the second calculation means with the correction coefficient before update stored in the second storage means, and a comparison result by the comparison means Is further provided with correction means for correcting the correction coefficient calculated by the second calculation means when the predetermined condition is not satisfied.

  According to such a configuration, when the calculated correction coefficient is extremely large (or small) compared to the current (before update) correction coefficient, the value of the correction coefficient is, for example, the calculated value. By correcting to an intermediate value between the current value and the current value, it is possible to suppress a sudden change in the sensitivity of the weight sensor and continue stable measurement.

  In a preferred embodiment of the present invention, it further comprises verification means for verifying whether or not the total weight value or axle weight value included in the traveling vehicle information stored in the third storage means is within the normal range. If there is a total weight value or axle weight value that is not within the normal range as a result of verification by this verification means, the data of the total weight value or axle weight value is discarded.

  According to such a configuration, the total weight value outside the normal range or the axle weight value obtained from a vehicle whose driving state is not normal (for example, a vehicle that is greatly accelerated or decelerated) is excluded, and the total value within the normal range is excluded. Since the correction coefficient is calculated based only on the weight value or the axial weight value, the sensitivity correction of the weight sensor can always be performed appropriately.

  In the present invention, the judging means collates the traveling vehicle information calculated by the first calculating means with the specific vehicle discrimination information stored in the first storage means, so that the traveling vehicle is a specific vehicle. It can be determined whether or not.

  In this way, even if a means for obtaining the traveling vehicle information is not provided separately, the traveling vehicle is a specific vehicle using the traveling vehicle information such as the number of axes and the inter-axis distance calculated by the first calculation means. It can be determined whether or not there is.

  Instead, an acquisition unit that acquires information for identifying the vehicle from the traveling vehicle is provided, and the information acquired by the acquisition unit is collated with the specific vehicle determination information stored in the first storage unit. Thus, it may be determined whether or not the traveling vehicle is a specific vehicle.

  In this way, regardless of the change (decrease) in the measurement accuracy of the weight measuring device, the traveling vehicle is a specific vehicle, for example, based on information such as a vehicle image captured by the camera or a vehicle ID acquired by wireless communication. It can be determined whether or not there is.

  Next, a sensitivity correction method for a weight sensor according to the present invention includes a weight sensor installed on a traveling path, and a first storage unit that stores specific vehicle determination information for determining that the traveling vehicle is a specific vehicle. And a second storage means for storing a correction coefficient for correcting the measurement value by the weight sensor, and a sensitivity correction method for the weight sensor in the device for measuring the weight of the traveling vehicle by the weight sensor, The calculating means calculates the traveling vehicle information of the traveling vehicle based on the output signal of the weight sensor, and the determining means travels based on the specific vehicle discrimination information stored in the first storage means. A correction coefficient is calculated based on the second step for determining whether or not the vehicle is a specific vehicle, the traveling vehicle information of the traveling vehicle determined as the specific vehicle in the second step, and the specific vehicle determination information. A third step, updating means, the correction coefficient calculated by the third step, and a fourth step of updating the correction coefficient stored in the second storage means.

  According to such a method, when the traveling vehicle is determined to be the specific vehicle, the correction coefficient is calculated based on the traveling vehicle information and the specific vehicle determination information of the traveling vehicle, and the second correction coefficient is calculated based on the calculated correction coefficient. The correction coefficient stored in the storage unit is updated. Therefore, the correction coefficient can be calculated and updated while measuring with the weight measuring device, and the sensitivity of the weight sensor is automatically corrected by updating the correction coefficient, so that the necessary measurement accuracy is always maintained. It becomes possible.

  According to the present invention, it is possible to provide a weight measuring device for a traveling vehicle that can automatically correct the sensitivity of the weight sensor without interrupting the weight measurement and always maintain the necessary measurement accuracy. .

It is a figure which shows the structure of the axial load measuring apparatus which concerns on embodiment of this invention. It is a figure which shows the data storage area in a memory | storage part. It is a schematic side view of a self-propelled crane. It is the flowchart which showed the update procedure of the correction coefficient in 1st Embodiment. It is the flowchart which showed the update procedure of the correction coefficient in 2nd Embodiment. It is the flowchart which showed the update procedure of the correction coefficient in 3rd Embodiment. It is the flowchart which showed the update procedure of the correction coefficient in 4th Embodiment. It is a figure which shows the structure of the axial load measuring apparatus which concerns on 5th Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 shows a configuration of an axle load measuring apparatus according to an embodiment of the present invention. The axle load measuring device 1 includes two axle weight sensors 2 and 3 installed on a traveling road 6, a loop coil 4 provided between these axle weight sensors, and an arithmetic control unit 10 installed on the road side. Composed. The arithmetic control unit 10 includes a vehicle detection unit 11, a signal conversion unit 12, an arithmetic control unit 13, and a storage unit 14. Reference numeral 5 denotes a traveling vehicle that travels on the traveling path 6 in the direction of arrow A, and R is a measurement region for measuring axle load and the like.

  The axle weight sensors 2 and 3 are piezoelectric bar sensors, and receive the vertical force applied by the axle of the traveling vehicle 5 to measure the axle weight of the vehicle. Note that a loading plate type sensor may be used as the axial weight sensors 2 and 3. By providing two axle load sensors, fluctuations in the axle load measurement value due to vibration of the traveling vehicle 5 can be compensated. However, the number of axial load sensors is not limited to two, and may be three or more.

  The loop coil 4 is a sensor for detecting entry and exit of the traveling vehicle 5 to and from the measurement region R. When the traveling vehicle 5 passes over the loop coil 4, the inductance of the loop coil 4 changes, and based on this change, the vehicle detection unit 11 of the arithmetic control unit 10 detects entry and exit of the traveling vehicle 5. Detection information on the entry / exit of the vehicle is temporarily stored in an internal memory (not shown) of the arithmetic control unit 13 of the arithmetic control unit 10. Note that only one loop coil 4 is provided here, but the number of loop coils is not limited to one, and a loop coil for detecting the entry of the vehicle and the exit of the vehicle are detected. It is also possible to provide two loop coils separately.

  The signal conversion unit 12 of the arithmetic control unit 10 performs current / voltage conversion, amplification, and A / D conversion on the analog signals output from the respective axle load sensors 2 and 3. The A / D converted digital signal (measured value) is temporarily stored in the internal memory of the arithmetic control unit 13. At this time, the arithmetic control unit 13 reads the time when the axial weight sensors 2 and 3 measure the axial weight from a built-in timing circuit (not shown), and also stores this time in the internal memory.

  Then, the arithmetic control unit 13 calculates the number of axes, the inter-axis distance, the axial weight, and the total weight of the traveling vehicle 5 for each of the axial weight sensors 2 and 3 using the stored digital signal. Each calculated data is stored in the internal memory (or storage unit 14) of the arithmetic control unit 13. The arithmetic control unit 13 associates the output signals of the axle load sensors 2 and 3 with the traveling vehicle 5 using the vehicle entry / exit detection information obtained by the vehicle detection unit 11.

  The arithmetic control unit 10 is connected to the host device 15 as necessary. The host device 15 is, for example, a host computer. The arithmetic control unit 13 of the arithmetic control unit 10 transmits measurement data such as the calculated axle load and inter-axis distance to the host device 15. In addition, the arithmetic control unit 13 executes predetermined processing based on commands and data received from the host device 15.

  In the above configuration, the axle load measuring device 1 is an embodiment of the weight measuring device according to the present invention. The axial weight sensors 2 and 3 constitute an embodiment of the weight sensor in the present invention, and the arithmetic control unit 13 includes the first calculating means, the second calculating means, the determining means, and the updating in the present invention. An embodiment of the means, the comparison means, the correction means, and the verification means is configured.

  FIG. 2 is a diagram illustrating a data storage area in the storage unit 14. The storage unit 14 is provided with storage areas 21 to 23 as shown in (a) to (c).

  The storage area 21 in FIG. 2A is an area that stores specific vehicle determination information for determining that the traveling vehicle 5 is a specific vehicle. The specific vehicle refers to a specific vehicle whose vehicle data such as the number of axes and the total weight are known. When selecting a specific vehicle, a vehicle manufacturer's catalog or the like is used. Since the specific vehicle is a vehicle used for correcting the sensitivity of the axle load sensors 2 and 3, it is necessary to satisfy the following two conditions. As a first condition, the vehicle is required to be a vehicle in which the total weight (total value of the shaft weights of the respective shafts) does not change. Therefore, dump trucks that carry cargo are not subject to specific vehicles. As a second condition, the vehicle is required to be a vehicle in which there is no other vehicle that approximates the number of axes, the distance between the axes, the axle weight, and the like. This is because the specific vehicle is determined based on the number of axes, the distance between the axes, and the like.

  Specific vehicles that satisfy the above conditions include self-propelled cranes. For example, the self-propelled crane 30 shown in FIG. 3 has four shafts, a front wheel (front wheel) 31 on the front side, a rear wheel (front and rear wheels) 32 on the front side, and a front wheel (rear front wheel) on the rear side. 33, a rear side rear wheel (rear rear wheel) 34 is provided.

  Specifically, for example, in the case of a crane vehicle “GR-600N (II)” manufactured by Tadano Co., Ltd., the number of axes is 4, and the distance between the axes is 1.5 m, 4.0 m, 1. The front front axle weight (axial weight of the front front wheel 31) is 10.140 tons, the front and rear axle weight (axial weight of the front and rear wheels 32) is 10.380 ton, the rear front axle weight (axial weight of the rear front wheel 33). ) Is 10.430 tons, the rear rear axle weight (axial weight of the rear rear wheel 34) is 10.345 tons, and the total weight is 41.295 tons. Since the vehicle type having such data is only the crane vehicle, this vehicle type can be selected as the specific vehicle.

  The number of axes of the specific vehicle may be other than four. For example, in the case of the wheel crane “Panther 250” manufactured by Kobelco Crane Co., Ltd., the number of axes is 2, the distance between the axes is 3.5 m, the front axle weight is 13.250 tons, the rear axle weight is 13.245 tons, the total weight Is 26.495 tons. Since the vehicle type having such data is only the wheel crane, this vehicle type can be selected as the specific vehicle.

  In the storage area 21 of FIG. 2A, data on the number of axes of the specific vehicle, the distance between the shafts, the axial weight, and the total weight selected in this way is stored in advance as specific vehicle discrimination information. This storage area 21 is an embodiment of the first storage means in the present invention.

  The storage area 22 in FIG. 2B is an area that stores a correction coefficient for correcting the measurement values obtained by the axial weight sensors 2 and 3. The storage area 22 includes a correction coefficient α of the axle load sensor 2 (expressed as an axle load sensor A for convenience) and a correction coefficient of the axle load sensor 3 (denoted as an axle load sensor B for convenience). β is stored. That is, a correction coefficient is stored for each axial load sensor. The storage area 22 is an embodiment of the second storage means in the present invention.

  In the storage area 23 in FIG. 2C, when the traveling vehicle 5 is determined to be a specific vehicle, traveling vehicle information (number of axes, distance between shafts, axle weight, total weight) of the traveling vehicle 5 is This is an area stored for each axle load sensor. This storage area 23 is an embodiment of the third storage means in the present invention.

  Each of the storage areas 21 to 23 described above may be an area secured in the same memory, or may be an area secured in a different memory.

  Next, a method for correcting the sensitivity of the axial load sensor by updating the correction coefficient in the axial load measuring apparatus 1 having the above configuration will be described.

  FIG. 4 is a flowchart showing a correction coefficient update procedure in the first embodiment. Each step of this flowchart is executed by the CPU constituting the calculation control unit 13.

  In FIG. 4, in step S1, it is determined whether or not the axle load signal for one traveling vehicle has been acquired. That is, it is determined based on the output signals of the axle load sensors 2 and 3 whether or not the digital signals (axle load signals) input from the signal conversion unit 12 to the calculation control unit 13 have been prepared for one vehicle. If the axle load signal for one traveling vehicle is not acquired (step S1: NO), it waits until the signal is acquired, and when the axle load signal for one traveling vehicle is acquired (step S1: YES). The process proceeds to step S2.

  In step S2, based on the acquired axle load signal, the number of axes of the traveling vehicle 5, the distance between the axes, and the axle weight of each axis are calculated, and the calculated axle weight of each axis is added to determine the traveling vehicle 5 Calculate the total weight. The number of axes can be obtained from the number of times that either of the axle weight sensors 2 and 3 detects the axle weight. The axial weight of each axis is obtained, for example, by averaging values calculated from two axial weight signals. The inter-axis distance can be obtained by a known method as described in, for example, Japanese Patent Application Laid-Open No. 11-232586. The calculated data is temporarily stored in the internal memory of the arithmetic control unit 13. Note that the data may be temporarily stored in a predetermined area of the storage unit 14.

  Next, in step S3, the traveling vehicle information calculated in step S2 is collated with the specific vehicle determination information stored in the storage area 21, thereby determining whether or not the traveling vehicle 5 is a specific vehicle. The data to be collated need not be all of the number of axes, the distance between the axes, the axle weight, and the total weight, but may be, for example, the number of axes and the distance between the axes. In this case, if the degree of coincidence between the number of axes and the distance between the axes in the traveling vehicle information and the number of axes and the distance between the axes in the specific vehicle determination information are within an error range of ± 5%, for example, the traveling vehicle 5 It is determined that the vehicle is a specific vehicle. Of course, in this determination, not only the number of axes and the distance between the axes, but also the shaft weight and the total weight can be included in the verification target.

  When it determines with the traveling vehicle 5 being a specific vehicle (step S3: YES), it progresses to step S4, and when it determines with it not being a specific vehicle (step S3: NO), it returns to step S1.

  In step S4, the measurement data of the traveling vehicle 5 determined as the specific vehicle (the traveling vehicle information obtained in step S2) is transferred from the internal memory of the arithmetic control unit 13 to the storage unit 14, and the axle load sensors 2, 3 are transferred. Every time, the data is stored in the storage area 23 (FIG. 2) of the storage unit 14. As will be described later, in the case of the present embodiment, since the correction coefficient is calculated based on the total weight, the measurement data stored in the storage area 23 in step S4 may be only the total weight.

  Subsequently, in step S5, it is determined whether or not the measurement data is a predetermined number (for example, 10) or more for each axial weight sensor. If the measurement data is less than the predetermined number (step S5: NO), the process returns to step S1, and if the measurement data is greater than the predetermined number (step S5: YES), the process proceeds to step S6.

  In step S6, based on the total weight of the traveling vehicle included in the traveling vehicle information stored in the storage area 23 and the total weight of the specific vehicle included in the specific vehicle determination information stored in the storage area 21, A correction coefficient is calculated for each of the heavy sensors 2 and 3. Each correction coefficient is calculated as a ratio between the average value of the total weight of the traveling vehicle and the total weight of the specific vehicle.

For example, the value of the total weight of the traveling vehicle calculated based on ten measurements by the axle load sensor 2 is 41.1 [t], 42.5 [t], 41.4 [t], 40.8 [T], 41.9 [t], 42.2 [t], 40.5 [t], 41.2 [t], 43.0 [t], 41.4 [t] When the true value of the total weight is 41.3 [t], the correction coefficient α of the axle weight sensor 2 is
α = (true value) / (average value of 10 times) = 41.3 [t] /41.6 [t]
= 0.99279
It becomes.

Further, for example, the total weight value of the traveling vehicle calculated based on ten measurements by the axle load sensor 3 is 40.2 [t], 41.8 [t], 42.5 [t], 42 0.0 [t], 41.7 [t], 41.2 [t], 43.0 [t], 42.9 [t], 40.6 [t], 41.1 [t] When the true value of the total weight of the vehicle is 41.3 [t], the correction coefficient β of the axle load sensor 3 is
β = (true value) / (average value of 10 times) = 41.3 [t] /41.7 [t]
= 0.99040
It becomes.

  In addition, when the number of times of traveling of the specific vehicle is small and it takes a long time for the traveling vehicle information in the storage area 23 to become a predetermined number or more, the old traveling vehicle information is discarded and the remaining traveling vehicle information is used. An average value of the total weight of the traveling vehicle 5 may be calculated.

  When the correction coefficients α and β are calculated in this way, next, in step S7, the current (before update) correction coefficients α and β stored in the storage area 22 are replaced with the new correction coefficients α and β obtained in step S6. Update with the correct correction coefficients α and β. That is, the correction coefficient for each axial load sensor in the storage area 22 is rewritten.

  Thereafter, until the correction coefficient is updated next time, the measurement values are corrected by the axle load sensors 2 and 3 using the correction coefficients α and β updated this time. Specifically, the measured values are corrected by multiplying the values measured by the axle load sensors 2 and 3 by the updated correction coefficients α and β, respectively. When a specific vehicle is detected a predetermined number of times and a new correction coefficient is calculated, the current correction coefficient is updated with the new correction coefficient, and thereafter the same processing is repeated.

  As described above, according to the present embodiment, when the traveling vehicle 5 is determined to be a specific vehicle, traveling vehicle information is stored in the storage area 23, and when the traveling vehicle information exceeds a predetermined number, the total number of traveling vehicles 5 is increased. Correction coefficients α and β are calculated based on the weight and the total weight of the specific vehicle. Then, the correction coefficients α and β stored in the storage area 22 are updated with the calculated correction coefficients α and β. Therefore, the correction coefficients α and β can be calculated and updated while measuring with the axle load measuring device 1, and the sensitivity of the axle load sensors 2 and 3 is automatically corrected by updating the correction coefficients α and β. Therefore, it becomes possible to always maintain the required measurement accuracy.

  Further, since the correction coefficients α and β are calculated for each of the axial weight sensors 2 and 3, the sensitivity can be corrected for each axial weight sensor. For this reason, it can respond to the change of the characteristic of a sensor single-piece | unit, the change of the sensor embedding state in a road surface, etc., and can further improve measurement accuracy.

  In addition, by using the average value of the total weight of the traveling vehicle 5 in calculating the correction coefficients α and β, it is possible to prevent measurement errors for each measurement from greatly affecting the calculation of the correction coefficients α and β.

  In addition, since the traveling vehicle information obtained from the measurement results of the axle load sensors 2 and 3 is used to determine whether or not the traveling vehicle 5 is a specific vehicle, a means for obtaining traveling vehicle information is separately provided. Even if it is not provided, the above determination is possible.

  Next, another embodiment of the present invention will be described with reference to the drawings.

  FIG. 5 is a flowchart showing a correction coefficient update procedure in the second embodiment. Each step of this flowchart is executed by the CPU constituting the calculation control unit 13. The configuration of the axial load measuring apparatus according to the second embodiment is the same as that in FIG. 1, and the storage area of the storage unit 14 is also the same as that in FIG.

  In FIG. 5, steps S6a and S6b are added to the flowchart of FIG. Steps S1 to S6 and S7 have the same contents as steps S1 to S6 and S7 in FIG. When the axle load signal for one traveling vehicle is acquired in step S1, the number of axes of the traveling vehicle 5, the distance between the axes, the axle weight of each axis, and the total weight are calculated in step S2, and the traveling vehicle 5 is obtained in step S3. It is determined whether or not is a specific vehicle. As a result of the determination, if the traveling vehicle 5 is a specific vehicle, the measurement data (traveling vehicle information) is stored in the storage area 23 of the storage unit 14 in step S4. If it is determined in step S5 that the measurement data is greater than or equal to a predetermined number, correction coefficients α and β are calculated in step S6 based on the total weight of the traveling vehicle 5 and the total weight of the specific vehicle.

  Next, in step S6a, the correction coefficients α and β calculated in step S6 are compared with the current (before update) correction coefficients α and β, respectively, and the comparison result satisfies a predetermined condition. It is determined whether or not. Specifically, the difference between the calculated correction coefficient α and the current correction coefficient α, and the difference between the calculated correction coefficient β and the current correction coefficient β are within predetermined ranges, respectively. It is determined whether or not there is. Note that determination may be made based on the ratio of correction coefficients instead of the difference in correction coefficients.

  As a result of the determination in step S6a, if the difference between the correction coefficients is within a predetermined range (step S6a: YES), the process proceeds to step S7, and the correction of each axle load sensor 2, 3 is performed by the correction coefficient calculated in step S6. Update the coefficient. On the other hand, when the difference between the correction coefficients is not within the predetermined range (step S6a: NO), the process proceeds to step S6b.

  In step S6b, processing for correcting the correction coefficient calculated in step S6 is performed. Specifically, for example, the correction coefficient value calculated in step S6 is corrected to an intermediate value between the value and the current correction coefficient value. Thereafter, the process proceeds to step S7, and the correction coefficients of the respective axle load sensors 2, 3 are updated with the correction coefficient corrected in step S6b.

  According to the second embodiment as described above, when the calculated correction coefficients α and β are extremely large (or small) as compared with the current (before update) correction coefficients α and β, correction is performed. Since the coefficient is corrected to an intermediate value between the calculated value and the current value, a rapid change in the sensitivity of the axle load sensors 2 and 3 can be suppressed, and stable measurement can be continued.

  FIG. 6 is a flowchart showing a correction coefficient update procedure in the third embodiment. Each step of this flowchart is executed by the CPU constituting the calculation control unit 13. The configuration of the axle load measuring apparatus according to the third embodiment is the same as that in FIG. 1, and the storage area of the storage unit 14 is also the same as that in FIG.

  In FIG. 6, steps S5a and S5b are added to the flowchart of FIG. Steps S1 to S5 and S6 to S7 are the same as steps S1 to S5 and S6 to S7 in FIG. When the axle load signal for one traveling vehicle is acquired in step S1, the number of axes of the traveling vehicle 5, the distance between the axes, the axle weight of each axis, and the total weight are calculated in step S2, and the traveling vehicle 5 is obtained in step S3. It is determined whether or not is a specific vehicle. As a result of the determination, if the traveling vehicle 5 is a specific vehicle, the measurement data (traveling vehicle information) is stored in the storage area 23 of the storage unit 14 in step S4. If it is determined in step S5 that there are a predetermined number or more of the measurement data, the process proceeds to step S5a.

  In step S5a, it is verified whether or not the total weight values included in the traveling vehicle information stored in the storage area 23 are all within the normal range. Specifically, it is verified whether each of the total weight values is between an upper threshold value and a lower threshold value set for the total weight value. If the total weight value is within the normal range as a result of the verification (step S5a: YES), the process proceeds to step S6 to calculate a new correction coefficient, and then the current correction coefficient is updated in step S7.

  On the other hand, if there is a total weight value that is not within the normal range (step S5a: NO), the process proceeds to step S5b, and the data of the total weight value that is not within the normal range is discarded, and then the processing of steps S6 and S7 is performed. . In this case, in step S6, the correction coefficient is calculated based only on the total weight value within the normal range. Note that the case where the total weight value becomes abnormal may be a case where the traveling vehicle 5 is greatly accelerated or decelerated and the traveling state is not normal.

  According to the third embodiment as described above, the total weight value outside the normal range (abnormal data) is excluded, and the correction coefficient is calculated based only on the total weight value within the normal range. The sensitivity correction can be always performed properly.

  FIG. 7 is a flowchart showing a correction coefficient update procedure in the fourth embodiment. Each step of this flowchart is executed by the CPU constituting the calculation control unit 13. The configuration of the axle load measuring apparatus according to the fourth embodiment is the same as that shown in FIG. 1, and the storage area of the storage unit 14 is also the same as that shown in FIG.

  In FIG. 7, steps S5a and S5b and steps S6a and S6b are added to the flowchart of FIG. That is, the fourth embodiment is a combination of the second embodiment of FIG. 5 and the third embodiment of FIG. Since the details of steps S5a, S5b, S6a, and S6b have already been described, redundant description is omitted here.

  According to the fourth embodiment, both the effects of the second embodiment and the effects of the third embodiment can be obtained.

  FIG. 8 is a diagram illustrating the configuration of the axial load measuring apparatus according to the fifth embodiment. 8, the same reference numerals as those in FIG. 1 are given to the same or corresponding parts as those in FIG. In FIG. 8, a camera 7 and an image processing unit 16 are provided in addition to the configuration of FIG. The camera 7 is an embodiment of acquisition means in the present invention. Here, although the camera 7 is provided on the downstream side with respect to the measurement region R, the camera 7 may be provided on the upstream side with respect to the measurement region R or may be provided on the side of the loop coil 4. .

  In the first embodiment, it is determined whether or not the traveling vehicle 5 is a specific vehicle using the traveling vehicle information obtained from the measurement results of the axle load sensors 2 and 3. In the fifth embodiment, the camera 7 It is determined whether the traveling vehicle 5 is a specific vehicle by using the captured image of the traveling vehicle 5 as vehicle identification information. In this case, in the storage area 21 of the storage unit 14, image data of a specific vehicle is stored in advance as specific vehicle determination information instead of data such as the number of axes and the distance between the axes.

  The image of the traveling vehicle 5 captured by the camera 7 is subjected to predetermined image processing by the image processing unit 16 and then input to the arithmetic control unit 13. The calculation control unit 13 collates the image data of the traveling vehicle 5 with the image data of the specific vehicle stored in the storage area 21 of the storage unit 14, and the traveling vehicle 5 is the specific vehicle based on the collation result. It is determined whether or not. The subject to be imaged by the camera 7 may be the entire traveling vehicle 5 or a part thereof. Moreover, you may make it determine whether the traveling vehicle 5 is a specific vehicle based on the color, pattern, etc. of the vehicle obtained from the imaged image. The correction coefficient update procedure is the same as that shown in FIGS.

  According to the fifth embodiment as described above, since the specific vehicle is determined based on the image data of the vehicle imaged by the camera 7, regardless of the change (decrease) in the measurement accuracy of the axle load measuring device 1, It can be determined whether or not the traveling vehicle 5 is a specific vehicle.

  In the present invention, various embodiments other than those described above can be adopted. For example, in the above embodiment, the correction coefficient is calculated based on the total weight of the traveling vehicle included in the traveling vehicle information and the total weight of the specific vehicle included in the specific vehicle determination information. The weight data is not limited to the total weight and may be an axial weight. Therefore, the correction coefficient may be calculated based on the axle weight of the traveling vehicle included in the traveling vehicle information and the axle weight of the specific vehicle included in the specific vehicle determination information.

  Moreover, in the said embodiment, in determining whether the traveling vehicle 5 is a specific vehicle, the method using the traveling vehicle information obtained from the measurement result of the axle load sensors 2 and 3, or the traveling vehicle imaged by the camera 7 Although the method using the image 5 is employed, other methods may be employed. For example, instead of imaging the traveling vehicle 5 with the camera 7, the arithmetic control unit 10 performs wireless communication with the traveling vehicle 5, and the traveling vehicle 5 is a specific vehicle based on the vehicle ID (identification information) received from the traveling vehicle 5. It may be determined whether or not. In this case, the arithmetic control unit 10 is provided with a wireless communication unit (not shown), and this arithmetic control unit 10 constitutes an embodiment of the acquisition means in the present invention.

  In the above embodiment, when calculating the correction coefficients α and β, a simple average obtained by dividing the total of all measured total weights by the number of times of measurement (for example, 10 times) is obtained. You may obtain | require the moving average of the total weight of the newest predetermined number (for example, five) of them.

  In the above-described embodiment, an example in which individual correction coefficients α and β are used for each of the axial weight sensors 2 and 3 is described. However, when variation in characteristics between the sensors is small, the axial weight sensors 2 and 3 are used. A common correction coefficient may be used.

  Further, in the above embodiment, the axle weight sensors 2 and 3 are used as the weight sensor, but instead of the axle weight sensor, a wheel weight sensor that is divided into left and right as viewed from the traveling vehicle may be used. When a wheel weight sensor is used as the weight sensor, a value obtained by adding the left wheel weight value measured by the left wheel weight sensor and the right wheel weight value measured by the right wheel weight sensor is the axle weight value. .

DESCRIPTION OF SYMBOLS 1 Axle load measuring device 2, 3 Axle load sensor 4 Loop coil 5 Traveling vehicle 6 Traveling path 7 Camera 10 Arithmetic control unit 11 Vehicle detection part 12 Signal conversion part 13 Arithmetic control part 14 Storage part 15 Host apparatus 16 Image processing part 21- 23 Storage area

Claims (8)

In an apparatus for measuring the weight of a traveling vehicle by a weight sensor installed on a traveling path,
First calculating means for calculating traveling vehicle information of the traveling vehicle based on an output signal of the weight sensor;
First storage means for storing specific vehicle determination information for determining that the traveling vehicle is a specific vehicle;
Second storage means for storing a correction coefficient for correcting the measurement value by the weight sensor;
Determination means for determining whether or not the traveling vehicle is a specific vehicle based on the specific vehicle determination information stored in the first storage means;
Second calculation means for calculating a correction coefficient based on the traveling vehicle information of the traveling vehicle determined as the specific vehicle by the determination means and the specific vehicle determination information;
Updating means for updating the correction coefficient stored in the second storage means with the correction coefficient calculated by the second calculation means;
A weight measuring device for a traveling vehicle, comprising: The weight measuring device for a traveling vehicle according to claim 1,
A plurality of the weight sensors are provided,
The second storage means stores a correction coefficient for each weight sensor,
The weight measuring apparatus for a traveling vehicle, wherein the second calculating means calculates a correction coefficient for each weight sensor. In the weight measuring device of the traveling vehicle according to claim 1 or 2,
A third storage means for storing the traveling vehicle information calculated by the first calculation means when the determination means determines that the traveling vehicle is a specific vehicle;
When the traveling vehicle information stored in the third storage unit reaches a predetermined number or more, the second calculation unit is configured to determine the total weight or axle load average value of the traveling vehicle included in the traveling vehicle information, and the specific A weight measurement apparatus for a traveling vehicle, characterized in that the correction coefficient is calculated as a ratio to the total weight or axle weight of the specific vehicle included in the vehicle discrimination information. In the weight measuring apparatus of the traveling vehicle in any one of Claims 1 thru | or 3,
Comparison means for comparing the correction coefficient calculated by the second calculation means with the correction coefficient before update stored in the second storage means;
A correction means for correcting the correction coefficient calculated by the second calculation means when the comparison result by the comparison means does not satisfy a predetermined condition;
A weight measuring device for a traveling vehicle, further comprising: In the weight measuring device of the traveling vehicle according to claim 3,
Verification means for verifying whether or not the total weight value or axle weight value included in the traveling vehicle information stored in the third storage means is all within the normal range;
As a result of verification by the verification means, if there is a total weight value or axle load value that is not within the normal range, the data of the total weight value or axle load value is discarded. . In the weight measuring device of the traveling vehicle according to any one of claims 1 to 5,
Whether the traveling vehicle is a specific vehicle by comparing the traveling vehicle information calculated by the first calculation unit with the specific vehicle determination information stored in the first storage unit. A weight measurement apparatus for a traveling vehicle, characterized by: In the weight measuring device of the traveling vehicle according to any one of claims 1 to 5,
An acquisition means for acquiring information for identifying the vehicle from the traveling vehicle;
The determination means determines whether or not the traveling vehicle is a specific vehicle by collating the information acquired by the acquisition means with specific vehicle determination information stored in the first storage means. A weight measuring device for a traveling vehicle characterized by A weight sensor installed on the road, first storage means for storing specific vehicle determination information for determining that the traveling vehicle is a specific vehicle, and a correction coefficient for correcting a measurement value by the weight sensor. A weight sensor sensitivity correction method in an apparatus for measuring the weight of a traveling vehicle with the weight sensor,
A first calculating means for calculating traveling vehicle information of the traveling vehicle based on an output signal of the weight sensor;
A second step of determining whether or not the traveling vehicle is a specific vehicle based on the specific vehicle determination information stored in the first storage unit;
A third step of calculating a correction coefficient based on the traveling vehicle information of the traveling vehicle determined as the specific vehicle in the second step and the specific vehicle determination information;
A fourth step in which the updating means updates the correction coefficient stored in the second storage means with the correction coefficient calculated in the third step;
A sensitivity correction method for a weight sensor, comprising:

Images