JP5024131B2 - Axle load measuring system and vehicle separation method - Google Patents

Description

  The present invention relates to an axle weight measurement system that measures an axle weight of a passing vehicle using an axle weight sensor disposed on a road surface, and a vehicle separation method that separates vehicles for each vehicle in the system.

  With the development of the logistics industry in recent years, transportation and delivery by large vehicles such as freight cars are increasing, and with the increase of such large vehicles, vehicles that are overloaded to give priority to efficiency, that is, overweight vehicles There are many. Such overweight vehicles cause damage to road surfaces, bridges, and the like, and may be a factor that threatens road traffic safety.

  In order to preserve the road structure or prevent traffic hazards, the main specifications (dimensions, weight, etc.) of the vehicle are the “Road Act” (Act No. 180, June 10, 1927), Article 47. "Vehicle Restriction Ordinance" based on paragraph 1 (Decree No. 265 of July 17, 1960) and "Ministerial Ordinance that stipulates procedures for permitting passage of vehicles" (Ministry of Construction Ordinance No. 28 September 25, 1963) Is limited.

  Vehicles exceeding these limits will be treated as special vehicles, so their passage requires permission under Article 47-2, Paragraph 1 of the Road Act or authorization under Article 12 of the Vehicle Restriction Ordinance, In the absence of such permission or authorization, traffic is prohibited.

  However, there is no end to the cases where illegal vehicles are allowed to pass without obtaining the above-mentioned permission or authorization. Therefore, there is an urgent need to construct a special vehicle automatic measurement system for strengthening the control of illegal vehicles.

  Special vehicle automatic measurement systems include, for example, a dynamic weight measurement device (Weigh In Motion, commonly known as “WIM”) or a dynamic dimension measurement device (Dimension In Motion, commonly known as “DIM”) provided on a road through which a vehicle passes. Etc.

Here, an example of a conventional WIM will be described with reference to FIG.
Reference numeral 200 in the figure denotes an axle weight measuring system that measures the weight of the vehicle from the load applied to each axle of the traveling vehicle, that is, the axle weight.

  The axle load of each axle of the vehicle 22 traveling on the road 21 is detected by axle load sensors 42a to 42d embedded on the road surface, and the detection result is sent to the axle load measuring device 23 installed on the roadside of the road 21. Sent. The axle load measuring device 23 creates axle load data based on the received detection result, and the created axle load data is transmitted to the measurement control processing device 25 that is also installed on the roadside.

  In addition, gates 24b are installed at various locations on the road 21, and an imaging device 24a for reading a vehicle registration number from a license plate (not shown) attached to the vehicle 22 is provided at a beam portion of the gate 24b. It has been. Image data obtained by imaging by the imaging device 24a is transmitted to the measurement control processing device 25 via the number reading device 24 provided in the column portion of the gate 24b.

In the measurement control processing device 25, calculation is performed based on the axle load data received from the axle load measuring device 23, and the weight of the vehicle 22 is calculated.
Further, image processing is performed based on the image data received from the number reading device 24, and vehicle registration number information of the vehicle 22 is created.
Furthermore, it is determined whether or not the weight of the vehicle 22 is excessive according to a predetermined algorithm. If it is determined that the weight is exceeded, the weight information together with the vehicle registration number information of the vehicle 22 is transmitted to the host device 26 provided at a remote location. If it is determined that the weight is not exceeded, weight information, vehicle registration number information, and the like are stored in a storage unit (not shown) in the measurement control processing device 25 for each vehicle.

  The host device 26 includes, for example, a server that controls and controls computers on the network, and is installed and managed in a communication command room (not shown) of a management office (not shown).

  In the axle load measurement system 200, the weight of the vehicle 22 is calculated based on the axle load data sequentially transmitted from the axle load measuring device 23 to the measurement control processing device 25. A vehicle separation means for classifying (hereinafter, referred to as “vehicle separation”) is required.

  The vehicle separation means in the axle load measuring system 200 is two loop type vehicle detectors 61a and 61b. The loop type vehicle detectors 61a and 61b are arranged upstream of the road 21 so as to sandwich the axle load sensors 42a to 42d. And it is buried one by one downstream. Thus, the vehicle 22 can be separated by entering the loop type vehicle detector 61a and leaving the loop type vehicle detector 61b.

  However, the provision of the loop type vehicle detectors 61a and 61b increases the number of devices constituting the axle load measurement system 200, which increases the cost of introducing the system. Further, since the loop type vehicle detectors 61a and 61b are embedded one by one upstream and downstream of the road 21 so as to sandwich the axle load sensors 42a to 42d, the area required for installation of the system becomes wide. Therefore, there is also a problem that the construction cannot be performed easily.

  In Patent Document 1, a plurality of detection sensors composed of optical sensors or the like are provided in the height direction of the vehicle, and the number of axles of the vehicle is detected by detecting the tires of the vehicle. A vehicle feature quantity detection device for discrimination is described.

  Patent Document 2 discloses a light emitting unit that emits a plurality of light beams in a plurality of directions, a light receiving unit that receives a plurality of reflected lights reflected by a reflecting object among the plurality of light beams, and the plurality of lights. A vehicle detection device that detects a single individual vehicle by including a beam and a calculation unit that calculates the correspondence between the plurality of reflected lights is described.

  Patent Document 3 describes an arrangement method and an axle load measuring device that determine the arrangement position of an axle load meter with an uneven arrangement interval based on data measured by the axle load meter.

  Patent Document 4 discloses an axle load measuring device that determines and notifies that the measurement accuracy of the axle load measuring device is out of an allowable range or has decreased without running a test vehicle having a known axle load. Are listed.

JP-A-7-167624 JP 2001-101568 A JP 2000-12418 A JP 2006-226812 A

  In the devices described in Patent Documents 1 to 4, since a vehicle detection device including a photoelectric switch and a loop type vehicle detector are necessary as vehicle separation means, the introduction cost is the same as that of the axle load measurement system 200 described above. As the installation area increases, the installation area becomes wide, and the construction cannot be performed easily.

  The present invention is for solving the above-described problems, and the object of the present invention is to be able to measure the weight of each vehicle without providing a dedicated device for vehicle separation. It is to be.

  An axle load measurement system according to the present invention is an axle load measurement system that measures the axle weight of a traveling vehicle based on the detection output of an axle weight sensor disposed on a road surface, and is arranged at predetermined intervals in the traveling direction of the vehicle. A plurality of axle weight sensors, and axle weight measuring means for measuring the axle weight of the traveling vehicle based on the detection output of each axle weight sensor, and an axis between the axles based on the detection output of each axle weight sensor. Included in the calculation means for calculating the inter-distance, the storage means storing the vehicle data including the inter-axis distance information between each axle for each vehicle, the inter-axis distance calculated by the calculation means and the vehicle data in the storage means Comparing the distance information between the shafts, a determination means for determining whether or not each axle is an axle of the same vehicle based on whether or not both coincide with each other, and based on the determination result of the determination means, the axle weight measurement means Separating means for separating a plurality of measurement results for each vehicle Eteiru.

In this way, the inter-axis distance between the axles is calculated from the detection output of each axle weight sensor, and the calculated inter-axis distance is compared with the inter-axis distance information of the vehicle data. The axle load measurement result is separated for each vehicle.
Thereby, the vehicle can be separated using the axle load sensor and the weight of each vehicle can be measured without providing a loop type vehicle detector or photoelectric switch for separating the vehicles. Therefore, the introduction cost can be reduced, and the axle load measuring system capable of reducing the installation area can be realized.

  In the present invention, the determination unit may compare the inter-axis distance and the inter-axis distance information included in the vehicle data every time the inter-axis distance is calculated by the calculation unit. In this method, if the two do not match, the determination means detects the preceding axle detected by the axle weight sensor and the axle weight sensor, following the two axles having a distance between the axles that do not match. It is determined that the following axle is not the axle of the same vehicle. The separation means determines that the preceding axle and the following axle are not the axles of the same vehicle by the judging means, the measurement result up to the preceding axle by the axle weight measuring means, and the rear axle by the axle weight measuring means. Separate the measurement result of the traveling axle.

  According to this, each time the axle is detected by the axle load sensor, the axle distance between the axles is compared with the vehicle data, and if they do not match, it is determined that the preceding axle and the following axle are not the axles of the same vehicle, Since the measurement result up to the preceding axle is separated from the measurement result of the following axle, it is possible to perform vehicle separation by checking whether the vehicle is the same vehicle from the front in the traveling direction of the vehicle. For this reason, it becomes possible to quickly perform vehicle separation for a vehicle having a small number of axles.

  In the present invention, the determination means compares each of the inter-axis distances with the inter-axis distance information included in the vehicle data after the predetermined number of inter-axis distances calculated by the calculation means are stored. Also good. In this method, when a coincidence result cannot be obtained for all the inter-axis distances, the determination unit repeats the determination by sequentially excluding the rearmost axle. The separation means, when the coincidence result of the inter-axis distance is obtained by the determination means, the measurement result by the axle weight measurement means for the axle of the coincidence inter-axis distance and the axle of the axle distance that does not coincide. Separate the measurement results from the axle load measuring means.

  According to this, after a predetermined number of calculated inter-axis distances are stored, the inter-axis distances are compared with the vehicle data, and if a match result is not obtained, the determination is repeated by sequentially excluding the last axle. When the coincidence result is obtained, the axle load measurement result is separated, so that it is possible to perform vehicle separation by checking whether the vehicle is the same vehicle from the rear in the traveling direction of the vehicle. For this reason, it becomes possible to quickly perform vehicle separation for a vehicle having a large number of axles.

  In the present invention, the vehicle data further includes farthest axis distance information for each vehicle, the maximum value of the farthest axis distance derived from a plurality of farthest axis distance information, and each axle weight sensor. The detection time of the succeeding axle is set based on the speed of the preceding axle calculated from the detected output of the vehicle, and when the succeeding axle is not detected within the detection time, the determination means determines whether the preceding axle and the following axle are You may make it determine with it not being the axle of the same vehicle.

  In this way, it is possible to determine whether the preceding axle and the following axle are the axles of the same vehicle depending on whether the following axle is detected within the detection time period. Vehicle separation can be performed based on the above.

  In the present invention, a plurality of vehicle classifications are set according to axle load values, and the determination means is based on the axle weights of the preceding axle and the succeeding axle measured by the axle weight measuring means, and the vehicle classification to which the preceding axle falls. If the vehicle classification is different, the preceding axle and the succeeding axle may be determined not to be the axles of the same vehicle.

  In this way, if the vehicle classification of the preceding axle and the following axle is different from each other, it is determined that the preceding axle and the following axle are not the axles of the same vehicle, so the vehicle separation is performed based on the vehicle classification. Can be done.

  In the present invention, the determination means determines whether or not the difference between the speed of the preceding axle and the speed of the following axle calculated from the detection output of each axle load sensor is equal to or less than a predetermined threshold, and is not equal to or less than the predetermined threshold. In this case, it may be determined that the preceding axle and the following axle are not the axles of the same vehicle.

  In this way, it is possible to determine whether the preceding axle and the following axle are the axles of the same vehicle based on whether the difference in speed between the axles is equal to or less than a predetermined threshold. Vehicle separation can be performed based on the difference.

  Next, a vehicle separation method according to the present invention is a vehicle separation method in an axle load measurement system that measures the axle load of a traveling vehicle based on detection outputs of a plurality of axle load sensors arranged on a road surface. The step of calculating the inter-axle distance between the axles based on the detection output of the heavy sensor is compared with the calculated inter-axle distance and the inter-axle distance information between the axles for each vehicle in the vehicle data. Determining whether or not each axle is an axle of the same vehicle, and separating each vehicle based on the determination result.

In this way, the inter-axis distance between the axles is calculated from the detection output of each axle load sensor, the calculated inter-axis distance is compared with the inter-axis distance information of the vehicle data, and based on the result, the vehicle Are separated from each other.
Thereby, it is possible to separate the vehicles one by one using the axle load sensor without providing a loop type vehicle detector or a photoelectric switch for separating the vehicles. Therefore, the introduction cost can be reduced, and the axle load measuring system capable of reducing the installation area can be realized.

  According to the present invention, since the vehicle can be separated using the axle load sensor, the weight of each vehicle can be measured without providing a dedicated device for vehicle separation. Therefore, the introduction cost can be reduced, and the axle load measuring system capable of reducing the installation area can be realized.

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

FIG. 1 is a diagram showing an embodiment of an axle load measuring system according to the present invention.
1 to 10 to be described later, the same or corresponding parts are denoted by the same reference numerals.

  In the figure, reference numeral 11 denotes a road (for example, a highway) through which a normal automobile or a large automobile passes, and reference numeral 12 denotes a vehicle (for example, a truck that is a large vehicle) that passes through the road 11.

  Reference numeral 13 denotes an axle load measuring device that measures a load applied to each axle of the vehicle 12, that is, an axle load, and is installed near the road 11. The axle weight measuring device 13 is connected to two axle weight sensors 32a and 32b for detecting the axle weight, and the axle weight sensors 32a and 32b are rod-shaped using a piezoelectric effect (piezoelectric effect) such as crystal. Consisting of sensors.

The axle load sensors 32 a and 32 b are configured to output a current corresponding to the detected axle load value, and the output current is sent to the axle load measuring device 13.
In addition, the axle load sensors 32a and 32b are embedded one by one at a P point and a Q point on the road 11 at a predetermined interval L.
Furthermore, in order to accurately detect the axle weight of the vehicle 12, both wheels of each axle need to simultaneously pass on the axle weight sensor 32a or 32b. Therefore, the axle weight sensors 32a and 32b are arranged in the direction in which the road 11 is laid. It is provided substantially perpendicular to.

Reference numeral 14 denotes a number reading device that reads a vehicle registration number from a license plate attached to a vehicle 12 passing through the road 11. The number reading device 14 is connected to an imaging device 14a for reading a vehicle registration number, and the imaging device 14a includes a CCD (Charge Coupled Device) camera equipped with a strobe.
The imaging device 14a is provided in a beam portion of a gate 14b installed in various places on the road 11, and the number reading device 14 is provided in a column portion of the gate 14b.

  Reference numeral 15 denotes a measurement control processing device that controls the axle load measuring device 13 and the number reading device 14 and processes the data obtained by the control by calculation or the like. is set up. In the measurement control processing device 15, calculation of the weight of the vehicle 12 passing through the road 11, determination of whether or not the weight of the vehicle 12 is excessive, and the like are performed.

  Reference numeral 16 denotes a host device that centrally manages weight information, vehicle registration number information, and the like of the vehicle 12 transmitted from the measurement control processing device 15 and increases the efficiency of information transmission and maintenance. The host device 16 is composed of a server that controls the computers on the network.

  The host device 16 is installed at a location different from the axle load measuring device 13, the number reading device 14, and the measurement control processing device 15, for example, a communication command room of a remote management office (not shown). (Not shown) and the like.

FIG. 3 is a block diagram showing the configuration of the axle load measuring device 13.
Reference numeral 31 in the figure denotes a control unit that controls each part of the axle load measuring device 13 and includes a CPU (Central Processing Unit) and the like. Reference numeral 33 denotes a signal converter that converts the current output from the axle load sensors 32a and 32b embedded in the road 11 (FIG. 1) into a voltage, and performs amplification, A / D (Analog to Digital) conversion, and the like. .

  Reference numeral 34 denotes a timekeeping unit for measuring the current time, 35 denotes a storage unit made up of RAM (Random Access Memory), EEPROM (Electronically Erasable and Programmable Read Only Memory), and 36 denotes a connection with the measurement control processing device 15. It is a communication part which communicates by.

  In a predetermined storage area (not shown) in the storage unit 35, vehicle data in a table format as shown in 35a of FIG. 6 and 35b of FIG. 7 is stored, and the vehicle data includes various information for each vehicle. (Main specification information, etc.) for multiple vehicles.

  Reference numeral 35a in FIG. 6 is vehicle data having a plurality of pieces of main specification information of a vehicle (large vehicle) having an axle weight of 1.5 t (tons) or more among the vehicle data described above. No. 35b is vehicle data having a plurality of main specification information of a vehicle (ordinary vehicle) whose axle weight is less than 1.5 t (tons).

  Further, 35e to 35h in FIG. 6 are various items in the vehicle data 35a, and 35p to 35s in FIG. 7 are various items in the vehicle data 35b. Specifically, the items 35e and 35p indicate the vehicle type, and the items 35f and 35q indicate the vehicle type. The items 35g and 35r indicate the farthest shaft distance (wheel base) that is the distance from the frontmost axis to the last axis of the axle provided for each vehicle, and the items 35h and 35s are the distances between the axles. The distance between axes is shown.

  The communication unit 36 communicates with the measurement control processing device 15, and the vehicle data 35 a (FIG. 6) and 35 b (FIG. 7) stored in the storage unit 35 are updated by the communication.

When the axle weight sensors 32a and 32b detect the axle weight, current corresponding to the detected axle weight value is output from the axle weight sensors 32a and 32b and input to the signal conversion unit 33.
In the signal conversion unit 33, the input current is converted into a voltage, and amplification, A / D conversion, and the like are performed. Thereafter, axial load data is created.

  The axial load data created by the signal conversion unit 33 is temporarily stored in a predetermined storage area (not shown) in the storage unit 35 together with the time data measured by the timing unit 34 under the control of the control unit 31. .

  The control unit 31 performs vehicle separation according to a predetermined algorithm based on measurement results such as axle load data and the vehicle data 35a or 35b, and is stored in a predetermined storage area in the storage unit 35 based on the vehicle separation. The data such as axle weight is classified for each vehicle. Data such as axle load classified for each vehicle is sequentially output to the communication unit 36 and transmitted from the communication unit 36 to the measurement control processing device 15. The details of the vehicle separation method will be described later.

  Here, the control unit 31, the axle load sensors 32a and 32b, and the signal conversion unit 33 constitute an embodiment of the axle load measuring unit in the present invention, and the controller 31 includes the calculating unit, the determining unit, and the present invention. One embodiment of the separation means is constituted, and the storage unit 35 constitutes one embodiment of the storage means in the present invention.

FIG. 4 is a block diagram showing the configuration of the measurement control processing device 15.
Reference numeral 51 in the figure denotes a data processing unit that processes data such as axle weight transmitted from the axle load measuring device 13 and data such as an image transmitted from the number reading device 14. From a microcomputer, an image processing circuit, etc. It is configured.

  A storage unit 52 includes a RAM, an EEPROM, and the like. A communication unit 53 communicates with the axle load measuring device 13, the number reading device 14, and the host device 16.

  The data processing unit 51 calculates the total weight of the vehicle 12 according to a predetermined algorithm based on the data such as the axle weight of each vehicle transmitted from the axle weight measuring device 13, and calculates the calculation result. Based on the above, it is determined whether or not the weight of the vehicle 12 is excessive. Further, the data processing unit 51 performs image processing on the image data transmitted from the number reading device 14 and creates vehicle registration number information.

In a predetermined storage area (not shown) in the storage unit 52, weight information calculated by the data processing unit 51, a determination result as to whether or not the weight is exceeded, vehicle registration number information, and the like are stored for each vehicle. The
Further, in another predetermined storage area (not shown) in the storage unit 52, for example, the latest version of the vehicle data 35a (FIG. 6) and 35b (FIG. 7) of the vehicle 12 transmitted from the host device 16 is stored. It is remembered.

The communication unit 53 transmits the weight information, vehicle registration number information, and the like of the vehicle 12 that has been determined to be overweight by the data processing unit 51 to the host device 16.
Further, when the latest version of the vehicle data 35 a (FIG. 6) and 35 b (FIG. 7) is received from the host device 16, the latest version is temporarily stored in the storage unit 52 and then transferred to the axle load measuring device 13.

FIG. 5 is a block diagram showing the configuration of the host device 16.
Reference numeral 71 in the figure denotes a control unit that controls each unit of the host device 16 and includes a CPU and the like.

  Reference numeral 72 denotes a storage unit that stores management information for managing the roads under its control, and includes a ROM, an EEPROM, or the like. The storage unit 72 stores, for example, the latest version of the vehicle data 35a (FIG. 6) and 35b (FIG. 7) created and edited by the host device 16.

  73 is a communication unit that communicates with the measurement control processing device 15, and transmits the latest version of the vehicle data 35 a (FIG. 6) and 35 b (FIG. 7) to the measurement control processing device 15. The determined weight information of the vehicle 12, vehicle registration number information, and the like are received from the measurement control processing device 15. Information such as weight received by the communication unit 73 is stored in the storage unit 72 and managed centrally.

  Reference numeral 74 denotes a display unit that displays information stored in the storage unit 72 and includes an LCD (Liquid Crystal Display). A warning light 75 is turned on when it is determined that the vehicle 12 traveling on the road 11 is an overweight vehicle. In addition, since the display part 74 and the warning lamp 75 are not related to this invention, it is not explained in full detail below.

  Next, the vehicle separation method according to the present invention will be described in detail with reference to the flowcharts of FIGS.

  FIG. 8 is a flowchart showing a first embodiment of the vehicle separation method in the axle load measuring system 100.

In this flowchart, of the axles that pass on the axle weight sensors 32a and 32b, the axle that is detected in advance by the axle weight sensor is the preceding axle, and the axle that is detected afterward is the succeeding axle. To do.
Specifically, as shown in Table 81 of FIG. 10, in the relationship between the first axle and the second axle detected after the measurement by the axle load measuring system 100, the first axle is the preceding axle. The second axle is the trailing axle. Similarly, when the third axle is detected, the previously detected second axle is set as the preceding axle, and the third axle is set as the trailing axle.
The first axle is not necessarily the foremost axle in one vehicle, but the first axle detected by the axle weight sensors 32a and 32b after the measurement by the axle weight measuring device 13 is started. It is.

  In step S1, a signal corresponding to the axle weight of the axle is output from the axle weight sensors 32a and 32b when the preceding axle (the first axle immediately after the start of measurement) passes over the axle weight sensors 32a and 32b. Is done. In the axle load measuring device 13, based on the output signals from the axle weight sensors 32a and 32b, the signal conversion unit 33 (FIG. 3) and the control unit 31 (FIG. 3) perform calculations and the like, and the axle load of the preceding axle is determined. Data is created.

  In step S2, the vehicle classification of the preceding axle is performed based on the vehicle classification (for example, large vehicle or ordinary vehicle) according to the preset axle load value. In the present embodiment, the vehicle is classified into two types: a vehicle having a shaft weight of 1.5 t or more (large vehicle) and a vehicle having a weight of less than 1.5 t (ordinary vehicle).

  In step S3, the passage time between the axle weight sensors 32a and 32b is calculated from the time when the preceding axle passes over the axle weight sensor 32a and the time when the axle passes over the axle weight sensor 32b. And the arrangement interval L (FIG. 1) between the axle load sensors 32a and 32b, the speed of the preceding axle, that is, the speed of the vehicle having the axle is calculated according to a predetermined algorithm. Note that the time when the preceding axle passes over the axle load sensors 32a and 32b is measured by the timer unit 34 (FIG. 3).

  In step S4, the maximum value of the farthest axle distance of the vehicle section is derived based on the vehicle section of the preceding axle, and based on the derived maximum value of the farthest axis distance and the speed of the preceding axle calculated in step S3. The calculation is performed, and the maximum time until the axle weight sensors 32a and 32b detect the following axle (the second axle immediately after the start of measurement) is calculated. A timer (not shown) is set based on the calculated time.

  Specifically, when the axle weight of the preceding axle is 1.5 t or more, the vehicle data 35a (FIG. 6) is selected from the two vehicle data stored in the predetermined storage area of the storage unit 35 (FIG. 3). Then, the maximum value of the farthest axis distance is derived from the farthest axis distance information for each vehicle included in the farthest axis distance item 35g in the vehicle data 35a. If the distance is less than 1.5t, the vehicle data 35b (FIG. 7) is selected, and the farthest axis distance is determined from the farthest axis distance information for each vehicle included in the farthest axis distance item 35r in the vehicle data 35b. The maximum value of is derived.

  In step S5, it is determined whether the following axle (not shown) is detected by the axle load sensors 32a and 32b within the time set by the timer in step S4 (hereinafter referred to as “timer time”), When it is detected (step S5: YES), the process proceeds to step S6, and when it is not detected (step S5: NO), the process proceeds to step S14 and thereafter.

  In step S6, axle load data of the following axle is created, and in step S7, the vehicle classification of the following axle is performed. Note that the method of creating the axle load data is the same as in step S1, and the method of vehicle classification is the same as in step S2, and therefore the description thereof is omitted.

  In step S8, it is verified whether or not the vehicle classification of the preceding axle and the vehicle classification of the following axle coincide with each other. If the vehicle classification coincides (step S8: YES), the process proceeds to step S9 and does not coincide ( In step S8: NO), the process proceeds to step S14 and subsequent steps.

  In step S9, the speed of the following axle that has passed over the axle weight sensors 32a and 32b within the timer time, that is, the speed of the vehicle having the axle is calculated. Since the speed calculation method is the same as that in step S3, description thereof is omitted.

  In step S10, a difference between the speed of the preceding axle and the speed of the following axle is calculated, and it is verified whether the difference is equal to or less than a predetermined threshold value. As a result of the verification, when the difference is equal to or smaller than the predetermined threshold (step S10: YES), the process proceeds to step S11. When the difference is not equal to or smaller than the predetermined threshold (step S10: NO), the process proceeds to step S14 or lower.

  In step S11, calculation is performed according to a predetermined algorithm based on the speed of the preceding axle, the speed of the following axle, and the like, and the inter-axis distance between the preceding axle and the following axle is calculated.

  In step S12, whether or not the inter-axis distance information that matches the inter-axis distance calculated in step S11 is in the vehicle data (35a in FIG. 6 or 35b in FIG. 7) corresponding to the vehicle classification that matched in step S8. Is verified and if there is matching inter-axis distance information (step S12: YES), the process proceeds to step S13. If there is no matching inter-axis distance information (step S12: NO), the process proceeds to step S14 and thereafter.

  Specifically, when the axle weight of the preceding axle and the following axle is 1.5 t or more, the vehicle data 35a is the verification object data, and when the axle weight is less than 1.5 t, the vehicle data 35b is the validation object data. And

  When the verification target data is the vehicle data 35a, whether any of the inter-axis distance information for each axle included in the small items D1 to D10 of the inter-axis distance item 35h matches the inter-axis distance calculated in step S11. Verify that.

For example, when the preceding axle is the axle that has passed over the axle weight sensors 32a and 32b for the first time after the verification by the axle weight measuring device 13, the preceding axle is the first axis and the following axle is the second axle. Therefore, it is verified whether or not the inter-axis distance between the preceding axle and the following axle coincides with the inter-axis distance information included in the small item D1 of the inter-axis distance item 35h.
When the verification target data is the vehicle data 35b, the same verification as described above is performed.

In step S13, a flag indicating that there is matching inter-axis distance information is set based on the verification result in step S12. After the flag is set, the process returns to step S4 in order to detect the subsequent axle. At that time, the acquired information such as the vehicle classification and the speed related to the following axle is returned as information on the preceding axle.
That is, information on the second axis that is handled as the following axle information at the time of detection of the first and second axes is handled as preceding axle information at the time of detection of the second and third axes. Thereby, since the process from step S1 to step S3 can be omitted, it is possible to quickly prepare for the detection of the subsequent axle.

  In step S14, the presence / absence of a set flag is verified. If there is a set flag (step S14: YES), the process proceeds to step S15. If there is no set flag (step S14: NO), step S14 is performed. Proceed to S17.

  In step S15, the vehicle is separated using the finally set flag as a reference, that is, a boundary, and one vehicle is detected. Specifically, all the axle information acquired before the final setting of the flag is used as axle information for one vehicle, and the axle information acquired after the final setting of the flag is classified as the axle information of other vehicles that follow.

In step S16, the axle information acquired after the final setting of the flag is returned as the axle information of the following vehicle. Thereafter, this flowchart is terminated to shift to the next vehicle separation. Even when there is no axle information to be returned, this flowchart is terminated to shift to the next vehicle separation.
Since the returned axle information can be handled as the axle information of the preceding axle in this flowchart, the processes from S1 to S3 can be omitted only for the axle.

In step S17, it is verified whether or not the acquired number of axle information is less than two. If the number of axle information is less than 2 (step S17: YES), the process proceeds to step S18. If the number of axle information is not less than 2 (step S17: NO), the process proceeds to step S19.
For example, for two vehicles having the same vehicle classification and speed, after the rearmost axle of the preceding vehicle is detected by the axle load sensors 32a and 32b, within the timer time set in step S4, When the foremost axle of the traveling vehicle is detected (steps S5, S8, S10: YES) and the detected distance between the two axes is not in the vehicle data 35a, 35b (step S12: NO) Since the process proceeds to step S17 via step S14 without proceeding to step S13 for setting the flag, the number of axle information in step S17 is 2 (the last axle of the preceding vehicle and the foremost axle of the succeeding vehicle). (Step S17: NO), the process proceeds to Step S19.
Further, when the rearmost axle of the preceding vehicle is detected by the axle load sensors 32a and 32b and the foremost axle of the following vehicle is not detected within the timer time set in step S4 (step S5: NO) Since the process proceeds to step S17 via step S14 without proceeding to steps S6 to S12, the number of axle information in step S17 is 1 (only the last axle of the preceding vehicle), and the process proceeds to step S18.

In step S18, since the acquired axle information is that of the preceding vehicle and cannot be returned to the succeeding vehicle, the axle information is discarded. Thereafter, this flowchart is terminated to shift to the next vehicle separation. On the other hand, in step S19, the acquired axle information is for the preceding vehicle and the succeeding vehicle, and only the finally acquired axle information is returned as the axle information of the following vehicle. Thereafter, this flowchart is terminated to shift to the next vehicle separation.
Since the returned axle information can be handled as the axle information of the preceding axle in this flowchart, the processing from S1 to S3 can be omitted only for the axle.

Thus, in the first embodiment described above, the inter-axis distance between the preceding axle and the following axle is calculated based on the detection results by the axle load sensors 32a, 32b, etc. The preceding axle and the following axle are the same depending on whether or not any of the inter-axle distance information for each axle included in the inter-axle distance item 35h or 35s in the vehicle data 35a or 35b corresponding to the vehicle classification matches. It can be determined whether or not the vehicle axle. If it is determined that the preceding axle and the following axle are not the axles of the same vehicle, the measurement result of the axle load up to the preceding axle is separated from the measurement result of the axle weight of the following axle. Based on the measurement result of the axle load up to the preceding axle, the total weight for each traveling vehicle is calculated.
Therefore, the vehicle weight can be separated using the axle load sensors 32a and 32b without separately providing a loop type vehicle detector, a photoelectric switch, etc., and the total weight for each vehicle can be calculated.

  Further, each time the axle is detected by the axle load sensors 32a and 32b, the distance between the axles is compared with the vehicle data 35a and 35b. If they do not match, the preceding axle and the following axle are not the axles of the same vehicle. Since the measurement result up to the preceding axle and the measurement result of the following axle are separated, it is possible to perform vehicle separation by checking whether or not the vehicle is the same vehicle from the front in the traveling direction of the vehicle 12. . For this reason, it becomes possible to quickly perform vehicle separation for a vehicle having a small number of axles.

  Further, as a method of determining whether the preceding axle and the following axle are the axles of the same vehicle, in addition to comparing the inter-axis distance, at the time of detecting the preceding axle, a detection time limit is set for detecting the following axle, A method (step S5) for determining whether the preceding axle and the succeeding axle are the axles of the same vehicle depending on whether the succeeding axle is detected within the detection time period, and the vehicle classification according to the axle load value And determining whether or not the preceding axle and the following axle are the axles of the same vehicle depending on whether or not the vehicle classification to which the preceding axle corresponds and the vehicle classification to which the following axle corresponds (step S8). ) And the speed of the preceding axle and the speed of the succeeding axle are less than or equal to a predetermined threshold value, it is determined whether or not the preceding axle and the following axle are the axles of the same vehicle (step S10). ) For quick vehicle separation and It is possible to increase the dependability.

  FIG. 9 is a flowchart showing a second embodiment of the vehicle separation method in the axle load measuring system 100.

  In the present flowchart, as in the flowchart of FIG. 8, of the axles passing over the axle weight sensors 32a and 32b, the axle detected in advance by the axle weight sensor is set as the preceding axle, and is detected downstream. The axle to be used is the trailing axle.

  In step S21, a signal corresponding to the axle weight of the axle is output from the axle weight sensors 32a and 32b when the preceding axle (the first axle immediately after the start of measurement) passes over the axle weight sensors 32a and 32b. Is done. In the axle load measuring device 13, based on the output signals from the axle weight sensors 32a and 32b, the signal conversion unit 33 (FIG. 3) and the control unit 31 (FIG. 3) perform calculations and the like, and the axle load of the preceding axle is determined. Data is created.

  In step S22, the vehicle classification of the preceding axle is performed based on the vehicle classification (for example, large vehicle or ordinary vehicle) according to the preset axle load value. In the present embodiment, the vehicle is classified into two types: a vehicle having a shaft weight of 1.5 t or more (large vehicle) and a vehicle having a weight of less than 1.5 t (ordinary vehicle).

  In step S23, the passage time between the axle weight sensors 32a and 32b is calculated from the time when the preceding axle passes over the axle weight sensor 32a and the time when the axle passes over the axle weight sensor 32b. And the arrangement interval L (FIG. 1) between the axle load sensors 32a and 32b, the speed of the preceding axle, that is, the speed of the vehicle having the axle is calculated according to a predetermined algorithm. Note that the time when the preceding axle passes over the axle load sensors 32a and 32b is measured by the timer unit 34 (FIG. 3).

  In step S24, the maximum value of the farthest axle distance of the vehicle section is derived based on the vehicle section of the preceding axle, and based on the derived maximum value of the farthest axis distance and the speed of the preceding axle calculated in step S23. The calculation is performed, and the maximum time until the axle weight sensors 32a and 32b detect the following axle (the second axle immediately after the start of measurement) is calculated. A timer (not shown) is set based on the calculated time.

  Specifically, when the axle weight of the preceding axle is 1.5 t or more, the vehicle data 35a (FIG. 6) is selected from the two vehicle data stored in the predetermined storage area of the storage unit 35 (FIG. 3). Then, the maximum value of the farthest axis distance is derived from the farthest axis distance information for each vehicle included in the farthest axis distance item 35g in the vehicle data 35a. If the distance is less than 1.5t, the vehicle data 35b (FIG. 7) is selected, and the farthest axis distance is determined from the farthest axis distance information for each vehicle included in the farthest axis distance item 35r in the vehicle data 35b. The maximum value of is derived.

  In step S25, it is determined whether or not the following axle (not shown) is detected by the axle load sensors 32a and 32b within the time set in the timer in step S24 (hereinafter referred to as “timer time”). When it is detected (step S25: YES), the process proceeds to step S26, and when it is not detected (step S25: NO), the process proceeds to step S34 and thereafter.

  In step S26, axle load data of the following axle is created, and in step S27, the vehicle classification of the following axle is performed. The method of creating the axle load data is the same as in step S21, and the method of vehicle classification is the same as in step S22, and thus the description thereof is omitted.

  In step S28, it is verified whether or not the vehicle classification of the preceding axle and the vehicle classification of the following axle match, and if the vehicle classification matches (step S28: YES), the process proceeds to step S29 and does not match ( In step S28: NO), the process proceeds to step S34 and subsequent steps.

  In step S29, the speed of the following axle that has passed over the axle load sensors 32a and 32b within the timer time, that is, the speed of the vehicle having the axle is calculated. Since the speed calculation method is the same as that in step S23, the description thereof is omitted.

  In step S30, a difference between the speed of the preceding axle and the speed of the following axle is calculated, and it is verified whether the difference is equal to or less than a predetermined threshold value. As a result of the verification, when the difference is equal to or smaller than the predetermined threshold (step S30: YES), the process proceeds to step S31. When the difference is not smaller than the predetermined threshold (step S30: NO), the process proceeds to step S34.

  In step S31, calculation is performed according to a predetermined algorithm based on the speed of the preceding axle, the speed of the following axle, and the like, and the inter-axis distance between the preceding axle and the following axle is calculated.

  In step S32, the axle information regarding the preceding and following axles (the inter-axis distance calculated in step S31, the speed of each axle, the inter-axis distance, etc.) is temporarily stored in a predetermined storage area of the storage unit 35 in ascending order. Is done.

  In step S33, it is verified whether or not the number of axle information stored in the predetermined storage area of the storage unit 35 is the maximum. If the number is the maximum (step S33: YES), the process proceeds to step S34, and the maximum If not (step S33: NO), the process returns to step S24 to prepare for detection of the following axle. At that time, the acquired information such as the vehicle classification and the speed related to the following axle is returned as information on the preceding axle.

  That is, information on the second axis that is handled as the following axle information at the time of detection of the first and second axes is handled as preceding axle information at the time of detection of the second and third axes. Thereby, since the process from step S21 to step S23 can be omitted, it is possible to quickly prepare for the detection of the subsequent axle.

  The maximum value of the number of axle information is the same as the number of the inter-axis distance information included in the items 35h and 35s of the vehicle data 35a and 35b stored in the predetermined storage area of the storage unit 35. Since a vehicle having a maximum of 11 axles can be detected, the maximum value of the number of axle information is 10.

  In step S34, the inter-axis distance information calculated in step S31 and corresponding to each of the inter-axis distances stored in step S32 corresponds to the vehicle data (35a in FIG. 6 or FIG. 7) corresponding to the vehicle classification matched in step S28. 35b) is verified.

When the verification target data is the vehicle data 35a, each of the inter-axis distance information for each axle included in the small items D1 to D10 of the inter-axis distance item 35h matches each of the inter-axis distances calculated in step S31. It is verified whether or not. For example, it is verified whether the inter-axis distance between the axes 1-2 calculated in step S31 matches the inter-axis distance information of the small item D1 of the inter-axis distance item 35h.
When the verification target data is the vehicle data 35b, the same verification as described above is performed.

  In step S35, as a result of the verification in step S34, if the inter-axis distance information included in all the axle information matches (step S35: YES), the process proceeds to step S40 and thereafter, and if they do not match (step S35: NO). The process proceeds to step S36.

  In step S36, the axle information related to the rearmost axle in the axle information to be verified in step S34 is excluded from the object to be verified. For example, if the same result is not obtained for the 11-axle axle information, the 11th-axle axle information is excluded, and the 1-10 axle information, that is, the 10-axle axle information is newly updated. Target for verification.

  In step S37, it is verified whether or not there are two or more axles as new verification targets. When the number of axles is two or more, that is, when the number of axle information is two or more (step S37: YES), the process returns to step S34 to re-verify all the axle information as a new verification target. Even if the re-verification is repeated by repeating steps S34 to S37, the coincidence of the axle information is not obtained, the axle information is sequentially excluded from the rear, and the number of axles is less than two, that is, the number of axle information is the frontmost 1 If there is only one (step S37: NO), the process proceeds to step S38.

  In step S38, the axle information excluded from the verification target in step S36 is restored, and the axle information related to the foremost axle in the verification target axle information, that is, the axle information for one axis is deleted. To do. For example, if the axle information of all 11 axes is the object to be verified and the result of matching the inter-axis distance between the 1-2 axes of the axle information cannot be obtained, the axle information of the first axis is deleted, The information on the axles after the axis is moved up to be the axle information on the first axis, so that the new axle information on all 10 axes is obtained.

  In step S39, it is verified whether or not the number of axles to be newly verified after deleting the axle information for one axis in step S38 is two or more. If the number of axles is two or more, that is, If the number of axle information is 2 or more (step S39: YES), the process returns to step S34 to re-verify all axle information that has been newly verified. Even if steps S34 to S39 are repeated and re-verification is repeated, the coincidence of the axle information is not obtained, the axle information is sequentially deleted from the front, and the number of axles is less than 2, that is, the number of axle information becomes one. (Step S39: NO), this flowchart is finished to shift to the next vehicle separation.

  In step S40, the vehicle is separated in response to the result of step S35, and one vehicle is detected. For example, if the number of axle information at the start of verification is 11, and in subsequent verification, if the axle information of all 11 axes coincides, it is detected as a vehicle with 11 axles. In addition, the number of axle information at the start of verification is 11, and in subsequent verification, the axle information for three axes is excluded from the verification target (step S36), and the axle information for one axis is deleted (step S38). When the axle information of all the remaining 7 axes coincides, it is detected as a vehicle having 7 axles.

  In step S41, it is verified whether or not there is axle information excluded from the verification target between steps S34 and S39 until vehicle separation is performed in step S40, and if there is axle information excluded (step S41). In step S41, the process proceeds to step S42. When there is no excluded axle information (step S41: NO), this flowchart ends to shift to the next vehicle separation.

In step S42, the axle information excluded from the verification target is returned and returned as the axle information when performing the next vehicle separation, and then this flowchart is terminated to shift to the next vehicle separation.
Note that the axle information deleted in step S38 is not the axle information of the succeeding vehicle, and is therefore not a reversal target.

As described above, in the second embodiment described above, the inter-axis distance between the preceding axle and the following axle is calculated based on the detection results by the axle load sensors 32a and 32b, and the inter-axis distance up to 11 axes is calculated. Once stored, it is verified whether the inter-axis distance information corresponding to each of the inter-axis distances is present in the vehicle data (35a in FIG. 6 or 35b in FIG. 7).
As a result of the verification, if a matching result is not obtained for all the inter-axis distances, the determination is repeated by sequentially excluding the rearmost axle, and if a matching result is obtained, the axle with the corresponding inter-axis distance is obtained. Is separated from the axle load measurement result for the axle with an inconsistent inter-axis distance. Based on the separated axle load measurement results, the total weight of each traveling vehicle is calculated.
Therefore, the vehicle weight can be separated using the axle load sensors 32a and 32b without separately providing a loop type vehicle detector, a photoelectric switch, etc., and the total weight for each vehicle can be calculated.

  In addition, after a predetermined number of calculated inter-axis distances are stored, the inter-axis distances are compared with the vehicle data 35a and 35b, and if a coincidence result is not obtained, the determination is made by sequentially excluding the last axle. Since the axle load measurement result is separated when the coincidence result is obtained repeatedly, it is possible to perform vehicle separation by checking whether the vehicle is the same vehicle from the rear in the traveling direction of the vehicle 12. For this reason, it becomes possible to quickly perform vehicle separation for a vehicle having a large number of axles.

  Further, as a method of determining whether the preceding axle and the following axle are the axles of the same vehicle, in addition to comparing the inter-axis distance, at the time of detecting the preceding axle, a detection time limit is set for detecting the following axle, A method for determining whether or not the preceding axle and the following axle are the axles of the same vehicle depending on whether or not the following axle is detected within the detection time period (step S25), and the vehicle classification according to the axle load value And determining whether or not the preceding axle and the succeeding axle are the axles of the same vehicle depending on whether or not the vehicle classification to which the preceding axle corresponds and the vehicle classification to which the following axle is matched (step S28). ) And the speed of the preceding axle and the speed of the succeeding axle are less than or equal to a predetermined threshold value, it is determined whether the preceding axle and the following axle are the axles of the same vehicle (step S30). ) To quickly separate the vehicle One reliability can be increased.

  In the present invention, various embodiments other than those described above can be adopted. For example, in the above embodiment, the vehicle section is divided into two sections when the axle weight is 1.5 t or more and less than 1.5 t. However, the present invention is not limited to this and may be further divided.

  Moreover, in the said embodiment, although the axial load measuring device 13 and the measurement control processing apparatus 15 were separately installed by the roadside of the road 11, it is not restricted to this, The axial load measuring device 13 is integrated in the measurement control processing device 15, One unit may be used.

It is the figure which showed an example of the axial load measuring system which concerns on this invention. It is the figure which showed an example of the conventional axial load measuring system. It is a block diagram of an axial load measuring device. It is a block diagram of a measurement control processing device. It is a block diagram of a high-order apparatus. It is the figure which showed an example of vehicle data. It is the figure which showed an example of vehicle data. It is the flowchart which showed an example of the vehicle separation method in this invention. It is the flowchart which showed an example of the vehicle separation method in this invention. It is the figure which showed the relationship of each axle.

Explanation of symbols

DESCRIPTION OF SYMBOLS 11 Road 12 Vehicle 13 Axle load measuring device 15 Measurement control processing device 16 Host device 31 Control unit 32a, 32b Axle load sensor 35 Storage unit 35a, 35b Vehicle data 51 Data processing unit

Claims (7)

In the axle load measurement system that measures the axle load of the traveling vehicle based on the detection output of the axle load sensor arranged on the road surface,
Axle weight measuring means having a plurality of axle weight sensors arranged at predetermined intervals in the traveling direction of the vehicle, and measuring the axle weight of the traveling vehicle based on the detection output of each axle weight sensor;
Calculating means for calculating the inter-axle distance between the axles based on the detection output of each axle load sensor;
Storage means for storing vehicle data including inter-axis distance information between each axle for each vehicle;
Whether or not each axle is an axle of the same vehicle by comparing the distance between the axes calculated by the calculating means and the distance information between the axes included in the vehicle data of the storage means, and whether or not they match. Determining means for determining
Separation means for separating a plurality of measurement results by the axle load measurement means for each vehicle based on the determination result of the determination means;
Axial load measuring system characterized by comprising The axle load measuring system according to claim 1,
The determination unit compares the inter-axis distance with the inter-axis distance information included in the vehicle data every time the inter-axis distance is calculated by the calculation unit. Of the two axles forming a distance, it is determined that the preceding axle detected in advance by the axle weight sensor and the following axle detected by following the axle weight sensor are not axles of the same vehicle,
When the determining means determines that the preceding axle and the following axle are not the axles of the same vehicle, the separating means determines the measurement result up to the preceding axle by the axle weight measuring means, and the axle weight measuring means. The axle weight measurement system is characterized in that it separates the measurement result of the following axle by the vehicle. The axle load measuring system according to claim 1,
The determination unit compares each of the inter-axis distances with the inter-axis distance information included in the vehicle data after storing a predetermined number of the inter-axis distances calculated by the calculation unit, and determines all the inter-axis distances. If you do not get the same result for, repeat the determination by removing the last axle sequentially,
The separation means, when the coincidence result of the inter-shaft distance is obtained by the judging means, the measurement result by the axle weight measurement means for the axle of the coincidence inter-axis distance and the axle of the inter-shaft distance that does not coincide A shaft weight measuring system for separating the measurement result by the shaft weight measuring means. In the axle load measuring system according to any one of claims 1 to 3,
The vehicle data further includes farthest axis distance information for each vehicle,
The detection time limit of the following axle is set based on the maximum value of the farthest axis distance derived from the plurality of farthest axis distance information and the speed of the preceding axle calculated from the detection output of each axle weight sensor. When the following axle is not detected within the detection time period, the determination means determines that the preceding axle and the following axle are not the axles of the same vehicle. . In the axle load measuring system according to any one of claims 1 to 3,
Multiple vehicle classifications are set according to axle load values.
The determination means determines whether the vehicle classification corresponding to the preceding axle and the vehicle classification corresponding to the following axle are different based on the axle weights of the preceding axle and the following axle measured by the axle weight measuring means. When the vehicle classification is different, it is determined that the preceding axle and the following axle are not the axles of the same vehicle. In the axle load measuring system according to any one of claims 1 to 3,
The determination means determines whether or not a difference between the speed of the preceding axle calculated from the detection output of each axle load sensor and the speed of the succeeding axle is equal to or less than a predetermined threshold value. Determines that the preceding axle and the following axle are not the axles of the same vehicle. A vehicle separation method in an axle load measurement system that measures an axle load of a traveling vehicle based on detection outputs of a plurality of axle load sensors arranged on a road surface,
Calculating an inter-axis distance between the axles based on the detection output of each axle load sensor;
The calculated inter-axis distance is compared with the inter-axis distance information between each axle in the vehicle data, and it is determined whether or not each axle is an axle of the same vehicle based on whether or not they match. Steps,
Separating the vehicles one by one based on the determination result;
A vehicle separation method comprising:

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