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WO2018216668A1 - Monitoring system and monitoring method - Google Patents

Monitoring system and monitoring method Download PDF

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Publication number
WO2018216668A1
WO2018216668A1 PCT/JP2018/019562 JP2018019562W WO2018216668A1 WO 2018216668 A1 WO2018216668 A1 WO 2018216668A1 JP 2018019562 W JP2018019562 W JP 2018019562W WO 2018216668 A1 WO2018216668 A1 WO 2018216668A1
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WO
WIPO (PCT)
Prior art keywords
unit
motorcycle
data
monitoring
information
Prior art date
Application number
PCT/JP2018/019562
Other languages
French (fr)
Japanese (ja)
Inventor
鈴木良昌
大溝将城
Original Assignee
Ｃａｃｈ株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP2018095792A external-priority patent/JP2018198424A/en
Application filed by Ｃａｃｈ株式会社 filed Critical Ｃａｃｈ株式会社
Publication of WO2018216668A1 publication Critical patent/WO2018216668A1/en

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
    • B62J43/00—Arrangements of batteries
    • B62J43/30—Arrangements of batteries for providing power to equipment other than for propulsion
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
    • B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
    • B62J50/20—Information-providing devices
    • B62J50/21—Information-providing devices intended to provide information to rider or passenger
    • B62J50/22—Information-providing devices intended to provide information to rider or passenger electronic, e.g. displays

Definitions

  • the present invention relates to a monitoring system and a monitoring method, and more particularly to a motorcycle situation monitoring system and a monitoring method.
  • Patent Document 1 data detected by an inertial sensor is received via an inertial sensor provided on a motorcycle traveling in a test course and a wireless communication line, and an abnormality of the motorcycle is detected based on this data.
  • a motorcycle monitoring system having an abnormality detection unit for detecting occurrence is disclosed.
  • Patent Document 2 has various sensors provided in the vehicle and a failure information analysis providing server that analyzes the failure occurrence probability of the vehicle based on data detected by the various sensors, and monitors the use status of the vehicle.
  • a system is disclosed.
  • Patent Document 3 listed below includes various sensors provided in a motorcycle, a removable memory that stores data detected by the various sensors, and an external personal computer that can be inserted into the memory and that processes data in the memory. However, a system for collecting and monitoring motorcycle data is disclosed.
  • an information collecting unit that is provided in a motorcycle and collects information related to the state of the two-wheeled vehicle, and is connected to the information collecting unit via a communication line for monitoring the two-wheeled vehicle remotely.
  • the communication line is a power-saving wide-area wireless communication line
  • the information collection unit is an inertial sensor that detects the inertia of the motorcycle, and a detection value of the inertial sensor.
  • a data extraction unit that extracts data to be transmitted to the monitoring unit, and a first communication unit that transmits the data extracted by the data extraction unit to the monitoring unit, and the monitoring unit includes the information Based on the second communication unit that receives the information of the collection unit, the storage unit that stores the data received by the second communication unit, and the data stored in the storage unit, the information indicating the state of the motorcycle is analyzed And having an information analysis unit that, the.
  • an inertial sensor provided in the motorcycle detects the inertia, and data is obtained based on the detected value.
  • a step of extracting, a step of transmitting the extracted data to a remote monitoring unit, a step of receiving the transmitted data at the remote unit, a step of storing the received data, and the data stored in the storage unit And analyzing information indicating the state of the motorcycle based on the above.
  • an inertial sensor provided on the moving vehicle detects the inertia, and if the detected value exceeds a predetermined value, Extracting the data indicating the state, counting the number of detected data, storing the data in the storage unit, and transmitting the data stored in the storage unit to the remote monitoring unit,
  • the predetermined value can be changed from the monitoring unit.
  • the state can be satisfactorily monitored from a small size and remotely at low cost.
  • data necessary for grasping the state can be transmitted to the remote monitoring unit.
  • FIG. 1 It is a figure showing the composition of the motorcycle monitoring system concerning this embodiment. It is a top view which shows an example of a motorcycle. It is a flowchart which shows the flow of the monitoring method using a motorcycle monitoring system. It is a flowchart which shows the flow of the monitoring method using the monitoring system in another embodiment.
  • FIG. 1 is a diagram showing a configuration of a motorcycle monitoring system 10.
  • the motorcycle monitoring system 10 is a system for remotely monitoring the state of the motorcycle 12 (shown in FIG. 2).
  • the motorcycle monitoring system 10 is simply referred to as the system 10.
  • the system 10 is provided in the motorcycle 12 and includes an information collection unit 14 that collects information on the state of the motorcycle 12 and a monitoring unit 16 that remotely monitors the motorcycle 12.
  • the information collecting unit 14 and the monitoring unit 16 are connected via a communication line 18. Although there are three information collection units 14 shown in FIG. 2, one or more information collection units 14 may be provided.
  • the communication line 16 is a power-saving wide-area wireless communication line such as SIGFOX (registered trademark), LoRa (registered trademark), NB-IoT, NB-Fi Protocol, Green OFDM, DASH7, RPMA, Wi-SUN, LTE-MTC.
  • LPWA Low Power Wide Area
  • Bluetooth registered trademark
  • Wi-Fi registered trademark
  • EnOcean registered trademark
  • ZigBee registered trademark
  • SIGFOX has a long transmission distance of several tens of km, a transmission speed of 100 bps (upstream) and an ultra-low speed, and data is 12 bytes (upstream) and less than 1 / 100th of Ethernet (registered trademark) data. It is a size.
  • the information collection unit 14 includes an inertial sensor 20 that detects the inertia of the motorcycle 12, a data extraction unit 22 that extracts data to be transmitted to the monitoring unit 16 based on a detection value of the inertial sensor 20, and a data extraction unit 22 And a first communication unit 24 that transmits the extracted data to the monitoring unit 16.
  • the information collecting unit 14 includes a temperature sensor 26 for detecting temperature, a timer unit 28 having a time measuring function, a first storage unit 30 for storing data of the sensors 20, 26 and the data extracting unit 22, and an information collecting unit. And a power supply unit 32 that supplies power to each device in the unit 14.
  • the information collecting unit 14 includes a sensor, a computing unit, a storage, a communication module, and a power source that are independent from the motorcycle 12 main body, the information collecting unit 14 can be configured to be detachable from the motorcycle 12 and can be retrofitted. It becomes easy.
  • the inertial sensor 20 is an acceleration sensor 20a whose detection direction is triaxial and an angular velocity sensor 20b of these triaxials.
  • the detection direction is the X-axis direction shown in FIG. 2, that is, the left-right direction of the motorcycle 12, the Y-axis direction shown in FIG. 2, ie, the front-rear direction of the motorcycle 12, and the Z-axis orthogonal to the X-axis and Y-axis (see FIG. Direction), that is, the vertical direction of the motorcycle 12.
  • the acceleration 20a detects these three-axis accelerations, respectively, and the angular velocity sensor 20b detects these three-axis angular velocities, respectively.
  • the temperature sensor 26 is a sensor that detects the temperature of the motorcycle 12, and is, for example, a thermistor.
  • the temperature sensor 26 is preferably provided in the vicinity of the fuel tank so as to accurately detect a temperature change of the motorcycle 12 during traveling or during engine operation.
  • the present invention is not limited to the configuration of this embodiment, and a temperature / humidity sensor capable of measuring humidity may be used, and the temperature of the atmosphere may be further measured. Further, the temperature sensor 26 may be incorporated in the inertial sensor 20 from the viewpoint of miniaturization of the IoT device.
  • the state of the motorcycle 12 can be acquired as data indicating a physical quantity by the inertial sensor 20 and the temperature sensor 26. This data is used for monitoring such as grasping the usage status of the motorcycle 12.
  • the data extraction unit 22 has a function of calculating data, and extracts from the data detected by the sensors 20 and 26 small data that can use the communication line 18 and data that can grasp the state of the motorcycle 12.
  • Data that can grasp the state of the motorcycle 12 includes data on acceleration / deceleration, left and right turning, engine start and stop, possibility of theft, road surface vibration, falling, maximum and minimum temperature.
  • the data extraction unit 22 extracts data related to acceleration / deceleration of the motorcycle 12 .
  • the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction.
  • the data extraction unit 22 Extracted as data indicating acceleration or deceleration.
  • the extracted data is counted as the number of times of acceleration or deceleration and stored in the first storage unit 30.
  • Acceleration or deceleration is determined by the sign of detection data. Further, when a predetermined value larger than the predetermined value is provided and the predetermined value is exceeded, the data extraction unit 22 can also extract the data indicating sudden acceleration or sudden deceleration.
  • the traveling time of the motorcycle 12 is a period from the start to the stop of the engine, and is a period indicating that the user is using the motorcycle 12.
  • the data extraction unit 22 extracts data relating to the left and right turning of the motorcycle 12 .
  • the data extraction unit 22 extracts data indicating right turn or left turn based on the acceleration in the left-right direction and the angular velocity centering on the front-rear direction and the up-down direction.
  • the data extraction unit 22 when the acceleration in the left-right direction exceeds a predetermined value, for example, 0.05 G, and the angular velocity centered on the front-rear direction exceeds a predetermined value, for example, 10 rad / s, the data extraction unit 22 And when the angular velocity centering on the up-down direction exceeds a predetermined value, for example, 30 rad / s, it is extracted as data indicating left turn or right turn.
  • the extracted data is counted as the number of left turns or right turns and is stored in the first storage unit 30.
  • the left turn or the right turn is determined by the sign of the detection data.
  • the data extraction unit 22 extracts data related to starting and stopping of the engine of the motorcycle 12 .
  • the data extraction unit 22 determines that the vibration frequency of the motorcycle 12 by the engine is included in the detection value of the acceleration sensor 20a
  • the data extraction unit 22 extracts data indicating engine start, and the vibration frequency of the acceleration sensor 20a If it is determined that the detected value is not included, data indicating engine stop is extracted.
  • the extracted data is counted as the number of start or stop of the engine and is stored in the first storage unit 30. For determination of engine start and stop, at least one of the three axes can be used as a detection value of the acceleration sensor 20a.
  • the frequency generated by the engine of the motorcycle 12 includes a frequency generated in the vehicle body when the engine is idling and a frequency generated in the vehicle body when the engine speed is higher than that during idling, and is measured in advance in the first storage unit 30. It is remembered.
  • the determination accuracy of the data extraction unit 22 increases when the measurement location is the same as the location where the inertial sensor 20 is provided.
  • the data extraction unit 22 extracts data related to the theft of the motorcycle 12 .
  • the data extraction unit 22 compares the detection value of at least the uniaxial acceleration sensor 20a with the engine vibration frequency stored in the first storage unit 30, and if they match, the motorcycle 12 It is determined that the engine starts. Specifically, the data extraction unit 22 extracts the vibration frequency or waveform included in the detection value of the acceleration sensor 20a, collates the extracted data with the vibration frequency of the engine, and if they match, the motorcycle 12 It is determined that the engine starts.
  • the data extraction unit 22 determines that the motorcycle 12 may have been stolen when the detected value of the acceleration sensor 20a of at least one axis does not match the engine vibration frequency, and indicates the possibility of theft. Extract data.
  • the extracted data is stored in the first storage unit 30 and can be immediately transmitted to the monitoring unit 16.
  • position information may be acquired by operating a GPS transmitter (not shown), and the information may be provided to the user.
  • the data extraction unit 22 extracts data regarding road surface vibration based on the vertical acceleration when the motorcycle 12 travels. Specifically, when the vertical acceleration exceeds a predetermined value, for example, 0.1 G, the data extraction unit 22 extracts the data indicating road surface vibration. The extracted data is counted as the number of road surface vibrations and stored in the first storage unit 30.
  • the data extraction unit 22 extracts data related to a fall based on the triaxial acceleration. Specifically, the data extraction unit 22 is a data indicating that the motorcycle 12 has fallen when the acceleration in the vertical direction is changed from 1G to 0G, for example, and the acceleration in the front / rear direction or the horizontal direction is changed to 1G, for example. Extract. The extracted data is counted as the number of falls and stored in the first storage unit 30.
  • the data extraction unit 22 extracts the maximum temperature and the minimum temperature that are detected by the temperature sensor 26 and are in use by the motorcycle 12. Specifically, the first storage unit 30 stores the detected temperature when the motorcycle 12 is in use, and the data extraction unit 22 extracts the highest temperature and the lowest temperature from the stored detected temperature after the engine stops, These temperatures are stored in the first storage unit 30.
  • the first communication unit 24 is a communication interface having a chip on which an application for realizing communication with the communication line 18 is mounted and an antenna.
  • the first communication unit 24 communicates data stored in the first storage unit 30 after a predetermined time, for example, 1 minute, after the data related to engine stop is extracted by the data extraction unit 22. That is, every time the engine of the motorcycle 12 stops, the first communication unit 24 communicates data accumulated in the first storage unit 30 so far.
  • the communication line 18 is SIGFOX
  • the current data amount is up to 12 bytes. Therefore, when the amount of data exceeds 12 bytes, the first communication unit 24 performs communication in multiple times.
  • the first communication unit 24 starts and stops the engine, the number of accelerations and decelerations, the number of left and right turns, the maximum and minimum temperatures, the number of road surface vibrations, and the number of falls.
  • the first storage unit 30 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • the first storage unit 30 stores detection data of the sensors 20 and 26 and extraction data of the data extraction unit 22.
  • the first storage unit 30 can associate the extracted data with the time by the timer unit 28 when storing the extracted data.
  • the power supply unit 32 only needs to be able to supply power to the data extraction unit 22, the first communication unit 24, the timer unit 28, and the first storage unit 30, and a combination of a power generation function that generates power from external energy and a battery, Examples include a piezoelectric element that converts vibration into electric power, a heat conversion element that converts heat into electric power, a detachable dry battery, a solar battery, and a dye-sensitized solar battery. A stand-alone power source that does not require wiring or charging is preferable.
  • the power supply unit 32 may be configured to have an external connector so that electric power is supplied from the motorcycle 12.
  • the information collection unit 14 may include a processing execution unit (not shown) that changes a predetermined value used in the data extraction unit 22.
  • the process execution unit forms a new predetermined value by combining the difference between the detection value detected from each of the sensors 20 and 26 and the predetermined value and the predetermined value already stored.
  • the process execution unit changes the existing predetermined value to a new predetermined value, and executes the new predetermined value.
  • the information collecting unit 14 configured as described above, using the communication line 18 of the power-saving wide-area wireless network service, which is a wireless communication standard suitable for IoT, reduces power consumption, low communication cost, and long distance. It is preferable in terms of communication.
  • the power-saving wide area wireless network service is unstable during movement, the first communication unit 24 is activated by using the engine stop of the motorcycle 12 as a trigger, so that the latest and one-time driving can be performed. Data can be reliably sent to the monitoring unit 16.
  • the monitoring unit 16 is a device that remotely monitors the motorcycle 12.
  • the monitoring unit 16 includes a second communication unit 34 that receives data from the information collection unit 14, a second storage unit 36 that stores data received by the second communication unit 34, and data stored in the second storage unit 36.
  • the information analysis unit 38 that analyzes information indicating the state of the motorcycle 12 and an input unit (not shown) that receives an input instruction from the outside.
  • the input unit can change a predetermined value used for the data extraction unit 22. As described above, by allowing the monitoring unit 16 to change the predetermined value based on the usage status and accumulated data, it is possible to further improve the accuracy of extracting the state of the moving vehicle such as the motorcycle 12. Note that a plurality of predetermined values may be stored in the information collecting unit 14 in advance, and may be changed from the monitoring unit 16 to a new predetermined value.
  • the second communication unit 34 is a communication interface having a chip and an antenna on which an application for realizing communication with the communication line 18 is mounted, and data from the first communication unit 24. Receive. Specifically, the second communication unit 34 receives data related to acceleration / deceleration, left / right turning, engine start / stop, possibility of theft, road surface vibration, falling, maximum and minimum temperature. Further, the second communication unit 34 receives the position information of the motorcycle 12.
  • the second communication unit 34 is connected to the weather information providing center 40 via the communication line 18 and receives weather information from the weather information providing center 40.
  • the meteorological information provision center 40 is a meteorological agency or a private meteorological information providing company.
  • the meteorological information includes weather and temperature.
  • the second storage unit 36 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • the second storage unit 36 stores the data sent from the information collecting unit 14 and the weather information sent from the weather information providing center 40.
  • the second storage unit 36 stores information unique to the motorcycle 12, such as a model name, a registration type, a chassis number, and a travel distance.
  • the travel distance is the travel distance at the time of registration of the system 10 and the travel distance recorded when the motorcycle 12 is inspected or repaired, and is stored together with the date.
  • the second storage unit 36 can also store calculation results of the information analysis unit 38, an OS (Operating System), various application programs, and the like.
  • the information analysis unit 38 calculates various data stored in the second storage unit 36 and outputs information indicating the state of the motorcycle. Further, the information analysis unit 38 can directly use the data sent from the information collection unit 14 for calculation.
  • the information analysis unit 38 determines the number of engine starts, the average mileage per revolution, the average speed, the number of accelerations and decelerations, the number of turns left and right, and the maximum vehicle body temperature in a predetermined period.
  • the minimum body temperature, the number of road surface vibrations, and the number of falls are extracted.
  • the predetermined period can be arbitrarily set, for example, one year.
  • the travel distance in the predetermined period is estimated from the travel distance stored in the second storage unit 36.
  • the average travel distance per time is a value obtained by dividing the estimated travel distance by the number of engine starts.
  • the average speed is calculated by dividing the estimated running distance by the engine operation time from engine start to stop.
  • the number of engine starts, the number of accelerations and decelerations, the number of left and right turns, the maximum vehicle body temperature, the minimum vehicle body temperature, the number of road surface vibrations, and the number of falls are obtained from data transmitted from the information collecting unit 14. It is done.
  • the information analysis unit 38 extracts the main travel area and the number of travels in the rain during a predetermined period.
  • the main travel area is a local government area such as a prefecture or a municipality, for example, and can be grasped from the position of the radio base station used during communication.
  • the number of travels in the rain is extracted by counting the number of times of communication from the area when the weather information is rainy.
  • the monitoring unit 16 configured in this way, the situation of the motorcycle 12 can be grasped based on the data sent from the information collecting unit 14.
  • the usage status can be determined by investigating the number of engine starts, the average mileage per time, the average speed, the maximum body temperature, and the number of accelerations. I can figure it out.
  • the use condition can be grasped
  • the usage status of the motorcycle 12 can be grasped together with the external environment at that time.
  • the theft of the motorcycle 12 can be remotely grasped. That is, based on the data on the possibility of theft sent from the information collecting unit 14, the information analysis unit 38 notifies the user of the location information of the motorcycle 12 together with the information that the motorcycle 12 has been stolen. be able to.
  • the second storage unit 36 stores in advance data related to the evaluation design and criteria, and the information analysis unit 38 performs risk analysis related to the malfunction based on the information and data related to the usage status of the motorcycle 12. Can do. For example, when the number of engine starts exceeds the number described in the evaluation design for one part of the drive train device, the information analysis unit 38 can display information indicating the risk. Moreover, you may display so that a risk may increase in steps as an actual engine start frequency approaches the frequency described in the above-mentioned evaluation design.
  • the inertial sensor 20 provided in the motorcycle detects the inertia. Specifically, the acceleration sensor 20a detects triaxial acceleration, and the angular velocity sensor 20b detects triaxial angular velocity.
  • step S02 the data extraction unit 22 extracts data based on the detected acceleration and angular velocity. Specifically, the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction.
  • step S03 the first communication unit 24 transmits the extracted data to the remote monitoring unit 16, and in step S04, the second communication unit 34 receives the transmitted data in the monitoring unit 16. To do.
  • step S05 the second storage unit 36 stores the received data.
  • step S06 the information analysis unit 38 analyzes information indicating the state of the motorcycle 12 based on the data stored in the second storage unit 36.
  • the present invention is not limited to the configuration shown in FIG. 1 as long as the system 10 has a function capable of executing the monitoring method described above.
  • the series of steps can be executed by hardware or software.
  • one functional block may be configured by hardware alone, may be configured by software alone, or may be configured by a combination thereof.
  • a configuration in which bidirectional communication can be performed between the first communication unit 24 and the second communication unit 34 may be adopted.
  • the processing content of the data extraction unit 22 can be changed from the monitoring unit 16.
  • the monitoring unit 16 outputs information to the user's terminal when the predetermined condition is satisfied has been described, but the present invention is not limited to this configuration.
  • the user can browse or download necessary information or history by accessing the monitoring unit 16. Further, the manufacturer and the repairer may be made accessible by satisfying a predetermined condition with respect to the monitoring unit 16.
  • the inertial sensor 20 includes the acceleration sensor 20a and the angular velocity sensor 20b has been described.
  • the present invention is not limited to this configuration, and the inertial sensor 20 includes a sensor that detects a triaxial angle. It may be. By detecting the angle, the change in the direction of the motorcycle 12 as well as the change in the inclination of the motorcycle 12 can be known, so that the accuracy of extracting right and left turns is improved.
  • FIG. 4 an aspect of a remote state monitoring method using a monitoring system for remotely monitoring a moving vehicle (not shown), which is another embodiment, will be described.
  • the same reference numerals are given to the configurations described in the previous embodiments, and detailed description thereof is omitted.
  • the inertial sensor 20 provided in the motorcycle detects the inertia. Specifically, the acceleration sensor 20a detects triaxial acceleration, and the angular velocity sensor 20b detects triaxial angular velocity.
  • step S12 the data extraction unit 22 extracts data indicating the state of the moving vehicle when the detected value exceeds a predetermined value. Specifically, when the motorcycle 12 travels, the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction. More specifically, when the acceleration in the front-rear direction exceeds a predetermined value and the angular velocity centered in the left-right direction exceeds a predetermined value, the data extraction unit 22 extracts the data indicating acceleration or deceleration.
  • the predetermined value can be changed from the monitoring unit 16. In the present embodiment, the case where the data extraction unit 22 extracts data indicating acceleration or deceleration has been described. However, the present invention is not limited to this configuration, and the data extraction unit 22 can perform rapid acceleration or rapid deceleration, left turn or Data indicating right turn, engine start or stop, theft, etc. can be extracted.
  • step S 13 the data extraction unit 22 counts the number of detected data and stores it in the first storage unit 30. Specifically, the data extraction unit 22 counts the extracted data as the number of accelerations or decelerations, and stores it in the first storage unit 30.
  • step S ⁇ b> 14 the first communication unit 24 transmits the data stored in the first storage unit 30 to the remote monitoring unit 16. The data sent to the monitoring unit 16 is analyzed by the information analysis unit 38 as information indicating the state of the moving vehicle.
  • This monitoring method can include temperature, weather information, location information, and theft information as described above.
  • the moving vehicle is not limited to a motorcycle as long as it is installed on the road surface and moves, and may be an automobile, a bicycle, a train, or a wheelchair.

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Traffic Control Systems (AREA)

Abstract

[Problem] To provide a state monitoring system that operates remotely and at low cost. [Solution] Provided is a monitoring system 10 comprising: an information collection unit 14 for collecting information relating to the state of a two-wheeled motor vehicle 12; and a monitoring unit 16, connected via a communication circuit 18, for remotely monitoring the two-wheeled motor vehicle 12. The information collection unit 14 has: an inertial sensor 20 for detecting inertia; and a data extraction unit 22 for extracting data to transmit to the monitoring unit 16, on the basis of detection values of the sensor 20. The monitoring unit 16 has an information analysis unit 38 for analyzing information signifying the state of the two-wheeled motor vehicle 12 on the basis of the data from the information collection unit 14.

Description

監視システム及び監視方法Monitoring system and monitoring method
　本発明は、監視システム及び監視方法、特に自動二輪車状況監視システム及び監視方法に関する。 The present invention relates to a monitoring system and a monitoring method, and more particularly to a motorcycle situation monitoring system and a monitoring method.
　従来から、自動二輪車の走行中の使用状況をデータとして収集して分析する技術が知られている。 Conventionally, a technique for collecting and analyzing the usage status of a motorcycle while running is known.
　下記特許文献１には、テストコース内を走行する自動二輪車に設けられた慣性センサと、無線の通信回線を介して、慣性センサが検出したデータを受信し、このデータに基づいて自動二輪車の異常発生を検出する異常検出部とを有する自動二輪車の監視システムが開示されている。 In Patent Document 1 below, data detected by an inertial sensor is received via an inertial sensor provided on a motorcycle traveling in a test course and a wireless communication line, and an abnormality of the motorcycle is detected based on this data. A motorcycle monitoring system having an abnormality detection unit for detecting occurrence is disclosed.
　下記特許文献２には、車両に設けられた各種センサと、各種センサが検出したデータに基づいて車両の故障発生確率を分析する故障情報分析提供サーバとを有し、車両の使用状況を監視するシステムが開示されている。 The following Patent Document 2 has various sensors provided in the vehicle and a failure information analysis providing server that analyzes the failure occurrence probability of the vehicle based on data detected by the various sensors, and monitors the use status of the vehicle. A system is disclosed.
　下記特許文献３には、自動二輪車に設けられた各種センサと、各種センサが検出したデータを記憶する着脱可能なメモリと、メモリを差し込み可能で、メモリ内のデータを処理する外部パソコンとを有し、自動二輪車のデータを収集して監視するシステムが開示されている。 Patent Document 3 listed below includes various sensors provided in a motorcycle, a removable memory that stores data detected by the various sensors, and an external personal computer that can be inserted into the memory and that processes data in the memory. However, a system for collecting and monitoring motorcycle data is disclosed.
特開２００６－１０１２９０号公報JP 2006-101290 A 特開２０１５－１０２８８３号公報JP2015-102883A 特開２００３－３３７０２８号公報Japanese Patent Laid-Open No. 2003-337028
　従来、自動二輪車を遠隔で監視する場合、３ＧやＬＴＥなどの携帯電話回線を用いて、自動二輪車の状態を示す情報を遠隔に送信している例がある。このような従来の携帯電話回線は、信頼性や可用性が高いものの、通話料と通信機器のコストが高い。よって、商用の自動二輪車のほかに、一般的な利用者の自動二輪車に対しても遠隔監視システムを導入及び運用しようとも、高コストのため、普及が困難である。 Conventionally, when a motorcycle is monitored remotely, there is an example in which information indicating the state of the motorcycle is transmitted remotely using a mobile phone line such as 3G or LTE. Such a conventional mobile phone line has high reliability and availability, but has a high call charge and cost of communication equipment. Therefore, in addition to commercial motorcycles, even if a remote monitoring system is to be introduced and operated for a general user's motorcycle, it is difficult to spread due to high cost.
　本発明は、低コストで、遠隔から自動二輪車の状態を良好に監視することができる自動二輪車監視システム及び監視方法を提供することにある。 It is an object of the present invention to provide a motorcycle monitoring system and a monitoring method capable of satisfactorily monitoring the state of a motorcycle from a low cost at a low cost.
　本発明の監視システムによれば、自動二輪車に設けられ、当該二輪車の状態に関する情報を収集する情報収集部と、前記情報収集部と通信回線を介して接続され、当該二輪車を遠隔で監視する監視部と、を有する自動二輪車監視システムにおいて、前記通信回線は、省電力型広域無線の通信回線であり、前記情報収集部は、自動二輪車の慣性を検出する慣性センサと、前記慣性センサの検出値に基づいて、監視部に送信するデータを抽出するデータ抽出部と、前記データ抽出部が抽出したデータを前記監視部に送信する第一通信部と、を有し、前記監視部は、前記情報収集部の情報を受信する第二通信部と、前記第二通信部が受信したデータを記憶する記憶部と、記憶部に記憶されたデータに基づいて、自動二輪車の状態を示す情報を分析する情報分析部と、を有することを特徴とする。 According to the monitoring system of the present invention, an information collecting unit that is provided in a motorcycle and collects information related to the state of the two-wheeled vehicle, and is connected to the information collecting unit via a communication line for monitoring the two-wheeled vehicle remotely. In the motorcycle monitoring system, the communication line is a power-saving wide-area wireless communication line, and the information collection unit is an inertial sensor that detects the inertia of the motorcycle, and a detection value of the inertial sensor. A data extraction unit that extracts data to be transmitted to the monitoring unit, and a first communication unit that transmits the data extracted by the data extraction unit to the monitoring unit, and the monitoring unit includes the information Based on the second communication unit that receives the information of the collection unit, the storage unit that stores the data received by the second communication unit, and the data stored in the storage unit, the information indicating the state of the motorcycle is analyzed And having an information analysis unit that, the.
　また、省電力型広域無線の通信回線を介して、自動二輪車を遠隔で監視する遠隔状態監視方法において、自動二輪車に設けられた慣性センサが慣性を検出するステップと、検出値に基づいてデータを抽出するステップと、抽出されたデータを遠隔の監視部に送信するステップと、送信されたデータを遠隔部で受信するステップと、受信されたデータを記憶するステップと、記憶部に記憶されたデータに基づいて、自動二輪車の状態を示す情報を分析するステップと、を有することを特徴とする。 Further, in a remote state monitoring method for remotely monitoring a motorcycle via a power-saving wide-area wireless communication line, an inertial sensor provided in the motorcycle detects the inertia, and data is obtained based on the detected value. A step of extracting, a step of transmitting the extracted data to a remote monitoring unit, a step of receiving the transmitted data at the remote unit, a step of storing the received data, and the data stored in the storage unit And analyzing information indicating the state of the motorcycle based on the above.
　また、無線通信を介して、移動車両を遠隔で監視する遠隔状態監視方法において、移動車両に設けられた慣性センサが慣性を検出するステップと、検出値が所定値を超えた場合、移動車両の状態を示すデータとして抽出するステップと、検出されたデータの回数を計数し、記憶部に記憶するステップと、記憶部に記憶されたデータを遠隔の監視部に送信するステップと、を有し、前記所定値は前記監視部から変更可能であることを特徴とする。 Further, in a remote state monitoring method for remotely monitoring a moving vehicle via wireless communication, an inertial sensor provided on the moving vehicle detects the inertia, and if the detected value exceeds a predetermined value, Extracting the data indicating the state, counting the number of detected data, storing the data in the storage unit, and transmitting the data stored in the storage unit to the remote monitoring unit, The predetermined value can be changed from the monitoring unit.
　本発明によれば、低コストで、小型化、遠隔から状態を良好に監視することができる。また、通信データ量が少ないという無線通信方式の特有の制約があったとしても、状態把握に必要なデータを遠隔の監視部に送信することができる。 According to the present invention, the state can be satisfactorily monitored from a small size and remotely at low cost. In addition, even if there is a restriction specific to the wireless communication system that the amount of communication data is small, data necessary for grasping the state can be transmitted to the remote monitoring unit.
本実施形態に係る自動二輪車監視システムの構成を示す図である。It is a figure showing the composition of the motorcycle monitoring system concerning this embodiment. 自動二輪車の一例を示す平面図である。It is a top view which shows an example of a motorcycle. 自動二輪車監視システムを用いた監視方法の流れを示すフロー図である。It is a flowchart which shows the flow of the monitoring method using a motorcycle monitoring system. 別の実施形態における監視システムを用いた監視方法の流れを示すフロー図である。It is a flowchart which shows the flow of the monitoring method using the monitoring system in another embodiment.
　以下、自動二輪車監視システム及び監視方法の実施形態について、図を用いて説明する。なお、以下実施例に限定されるものではない。 Hereinafter, embodiments of a motorcycle monitoring system and a monitoring method will be described with reference to the drawings. In addition, it is not limited to an Example below.
　図１は、自動二輪車監視システム１０の構成を示す図である。自動二輪車監視システム１０は、自動二輪車１２（図２に示す）の状態を遠隔から監視するシステムである。以下、自動二輪車監視システム１０のことを単にシステム１０と記す。 FIG. 1 is a diagram showing a configuration of a motorcycle monitoring system 10. The motorcycle monitoring system 10 is a system for remotely monitoring the state of the motorcycle 12 (shown in FIG. 2). Hereinafter, the motorcycle monitoring system 10 is simply referred to as the system 10.
　システム１０は、自動二輪車１２に設けられ、自動二輪車１２の状態に関する情報を収集する情報収集部１４と、自動二輪車１２を遠隔で監視する監視部１６とを有する。情報収集部１４と監視部１６は、通信回線１８を介して接続されている。図２に示す情報収集部１４は３つ存在しているが、１つ、あるいは、複数でもよい。 The system 10 is provided in the motorcycle 12 and includes an information collection unit 14 that collects information on the state of the motorcycle 12 and a monitoring unit 16 that remotely monitors the motorcycle 12. The information collecting unit 14 and the monitoring unit 16 are connected via a communication line 18. Although there are three information collection units 14 shown in FIG. 2, one or more information collection units 14 may be provided.
　通信回線１６は、ＳＩＧＦＯＸ（登録商標）、ＬｏＲａ（登録商標）、ＮＢ－ＩｏＴ、ＮＢ－Ｆｉ　Ｐｒｏｔｏｃｏｌ、ＧｒｅｅｎＯＦＤＭ、ＤＡＳＨ７、ＲＰＭＡ、Ｗｉ－ＳＵＮ、ＬＴＥ－ＭＴＣなどの省電力型広域無線の通信回線（ＬＰＷＡ（Low Power Wide Area））、Ｂｌｕｅｔｏｏｔｈ（登録商標）、Ｗｉ－Ｆｉ（登録商標）、ＥｎＯｃｅａｎ（登録商標）、ＺｉｇＢｅｅ（登録商標）などの近距離無線通信方式、セルラー系ＬＰＷＡ、通信３ＧやＬＴＥなどの携帯電話回線の通信回線がある。例えばＳＩＧＦＯＸは、伝送距離が数十ｋｍと長距離であり、伝送速度が１００ｂｐｓ（上り）と超低速であり、データは１２バイト（上り）とイーサネット（登録商標）データの１００分の１以下の大きさである。 The communication line 16 is a power-saving wide-area wireless communication line such as SIGFOX (registered trademark), LoRa (registered trademark), NB-IoT, NB-Fi Protocol, Green OFDM, DASH7, RPMA, Wi-SUN, LTE-MTC. LPWA (Low Power Wide Area), Bluetooth (registered trademark), Wi-Fi (registered trademark), EnOcean (registered trademark), ZigBee (registered trademark) and other short-range wireless communication systems, cellular LPWA, communication 3G and LTE There are communication lines such as mobile phone lines. For example, SIGFOX has a long transmission distance of several tens of km, a transmission speed of 100 bps (upstream) and an ultra-low speed, and data is 12 bytes (upstream) and less than 1 / 100th of Ethernet (registered trademark) data. It is a size.
　情報収集部１４は、自動二輪車１２の慣性を検出する慣性センサ２０と、慣性センサ２０の検出値に基づいて、監視部１６に送信するデータを抽出するデータ抽出部２２と、データ抽出部２２が抽出したデータを監視部１６に送信する第一通信部２４とを有する。また、情報収集部１４は、温度を検出する温度センサ２６と、計時機能を有するタイマー部２８と、各センサ２０，２６及びデータ抽出部２２のデータを記憶する第一記憶部３０と、情報収集部１４内の各機器に電力を供給する電源部３２とを含む。また、情報収集部１４が、自動二輪車１２本体とは独立したセンサ、演算器、ストレージ、通信モジュールおよび電源を有することにより、自動二輪車１２に対して着脱可能な構造とすることができ、後付けが容易になる。 The information collection unit 14 includes an inertial sensor 20 that detects the inertia of the motorcycle 12, a data extraction unit 22 that extracts data to be transmitted to the monitoring unit 16 based on a detection value of the inertial sensor 20, and a data extraction unit 22 And a first communication unit 24 that transmits the extracted data to the monitoring unit 16. The information collecting unit 14 includes a temperature sensor 26 for detecting temperature, a timer unit 28 having a time measuring function, a first storage unit 30 for storing data of the sensors 20, 26 and the data extracting unit 22, and an information collecting unit. And a power supply unit 32 that supplies power to each device in the unit 14. Further, since the information collecting unit 14 includes a sensor, a computing unit, a storage, a communication module, and a power source that are independent from the motorcycle 12 main body, the information collecting unit 14 can be configured to be detachable from the motorcycle 12 and can be retrofitted. It becomes easy.
　慣性センサ２０は、検知方向が３軸である加速度センサ２０ａと、それら３軸の角速度センサ２０ｂである。検知方向は、図２に示すＸ軸方向、すなわち自動二輪車１２の左右方向と、図２に示すＹ軸方向、すなわち自動二輪車１２の前後方向と、Ｘ軸とＹ軸に直交するＺ軸（図示せず）方向、すなわち自動二輪車１２の上下方向とである。加速度２０ａは、これら３軸の加速度をそれぞれ検出し、角速度センサ２０ｂは、これらの３軸の角速度をそれぞれ検出する。 The inertial sensor 20 is an acceleration sensor 20a whose detection direction is triaxial and an angular velocity sensor 20b of these triaxials. The detection direction is the X-axis direction shown in FIG. 2, that is, the left-right direction of the motorcycle 12, the Y-axis direction shown in FIG. 2, ie, the front-rear direction of the motorcycle 12, and the Z-axis orthogonal to the X-axis and Y-axis (see FIG. Direction), that is, the vertical direction of the motorcycle 12. The acceleration 20a detects these three-axis accelerations, respectively, and the angular velocity sensor 20b detects these three-axis angular velocities, respectively.
　温度センサ２６は、自動二輪車１２の温度を検出するセンサであり、例えばサーミスタである。温度センサ２６は、走行時またはエンジン稼働中における自動二輪車１２の温度変化を精度良く検出すべく、燃料タンク近傍に設けられることが好適である。なお、本発明はこの実施形態の構成に限らず、湿度も計測可能な温湿度センサを用いてもよく、さらに雰囲気の温度を計測できるように構成されてもよい。また、ＩｏＴデバイスの小型化の観点から、温度センサ２６が慣性センサ２０に内蔵されても良い。 The temperature sensor 26 is a sensor that detects the temperature of the motorcycle 12, and is, for example, a thermistor. The temperature sensor 26 is preferably provided in the vicinity of the fuel tank so as to accurately detect a temperature change of the motorcycle 12 during traveling or during engine operation. Note that the present invention is not limited to the configuration of this embodiment, and a temperature / humidity sensor capable of measuring humidity may be used, and the temperature of the atmosphere may be further measured. Further, the temperature sensor 26 may be incorporated in the inertial sensor 20 from the viewpoint of miniaturization of the IoT device.
　慣性センサ２０と温度センサ２６により、自動二輪車１２の状態を、物理量を示すデータとして取得することができる。このデータは、自動二輪車１２の使用状況の把握などの監視に利用される。 The state of the motorcycle 12 can be acquired as data indicating a physical quantity by the inertial sensor 20 and the temperature sensor 26. This data is used for monitoring such as grasping the usage status of the motorcycle 12.
　データ抽出部２２は、データを演算する機能を有し、各センサ２０，２６が検出したデータから、通信回線１８を利用可能な小さいデータ、かつ自動二輪車１２の状態を把握できるデータを抽出する。自動二輪車１２の状態を把握できるデータは、加減速、左右の旋回、エンジン始動及び停止、盗難の可能性、路面振動、転倒、最高及び最低温度に関するデータを含む。 The data extraction unit 22 has a function of calculating data, and extracts from the data detected by the sensors 20 and 26 small data that can use the communication line 18 and data that can grasp the state of the motorcycle 12. Data that can grasp the state of the motorcycle 12 includes data on acceleration / deceleration, left and right turning, engine start and stop, possibility of theft, road surface vibration, falling, maximum and minimum temperature.
　データ抽出部２２が、自動二輪車１２の加減速に関するデータを抽出する場合について説明する。データ抽出部２２は、自動二輪車１２の走行時、前後方向の加速度と、左右方向を中心とした角速度とに基づいて、加速または減速を示すデータを抽出する。具体的には、データ抽出部２２は、前後方向の加速度が所定値、例えば０．４Ｇを超えた場合、かつ、左右方向を中心とした角速度が所定値、例えば１０ｒａｄ／ｓを超えた場合、加速または減速を示すデータとして抽出する。抽出されたデータは、加速または減速の回数とし計数され、第一記憶部３０に記憶される。加速または減速については、検出データの正負符号により判断する。また、上記所定値よりさらに大きい所定値を設け、この大きい所定値を超えた場合、データ抽出部２２は、急加速または急減速を示すデータとして抽出することもできる。ここで、自動二輪車１２の走行時とは、エンジンの始動から停止までの期間のことであり、利用者による自動二輪車１２の使用中を示す期間のことである。 A case where the data extraction unit 22 extracts data related to acceleration / deceleration of the motorcycle 12 will be described. When the motorcycle 12 travels, the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction. Specifically, when the acceleration in the front-rear direction exceeds a predetermined value, for example, 0.4 G, and the angular velocity centered in the left-right direction exceeds a predetermined value, for example, 10 rad / s, the data extraction unit 22 Extracted as data indicating acceleration or deceleration. The extracted data is counted as the number of times of acceleration or deceleration and stored in the first storage unit 30. Acceleration or deceleration is determined by the sign of detection data. Further, when a predetermined value larger than the predetermined value is provided and the predetermined value is exceeded, the data extraction unit 22 can also extract the data indicating sudden acceleration or sudden deceleration. Here, the traveling time of the motorcycle 12 is a period from the start to the stop of the engine, and is a period indicating that the user is using the motorcycle 12.
　また、データ抽出部２２が、自動二輪車１２の左右の旋回に関するデータを抽出する場合について説明する。データ抽出部２２は、自動二輪車１２の走行時、左右方向の加速度と、前後方向及び上下方向を中心とした角速度とに基づいて、右旋回または左旋回を示すデータを抽出する。具体的には、データ抽出部２２は、左右方向の加速度が所定値、例えば０．０５Ｇを超えた場合、かつ、前後方向を中心とした角速度が所定値、例えば１０ｒａｄ／ｓを超えた場合、かつ、上下方向を中心とした角速度が所定値、例えば３０ｒａｄ／ｓを超えた場合、左旋回または右旋回を示すデータとして抽出する。抽出されたデータは、左旋回または右旋回の回数とし計数され、第一記憶部３０に記憶される。左旋回または右旋回については、検出データの正負符号により判断する。 Further, a case where the data extraction unit 22 extracts data relating to the left and right turning of the motorcycle 12 will be described. When the motorcycle 12 travels, the data extraction unit 22 extracts data indicating right turn or left turn based on the acceleration in the left-right direction and the angular velocity centering on the front-rear direction and the up-down direction. Specifically, when the acceleration in the left-right direction exceeds a predetermined value, for example, 0.05 G, and the angular velocity centered on the front-rear direction exceeds a predetermined value, for example, 10 rad / s, the data extraction unit 22 And when the angular velocity centering on the up-down direction exceeds a predetermined value, for example, 30 rad / s, it is extracted as data indicating left turn or right turn. The extracted data is counted as the number of left turns or right turns and is stored in the first storage unit 30. The left turn or the right turn is determined by the sign of the detection data.
　また、データ抽出部２２が、自動二輪車１２のエンジンの始動及び停止に関するデータを抽出する場合について説明する。データ抽出部２２は、自動二輪車１２のエンジンによる振動数が、加速度センサ２０ａの検出値に含まれていると判断した場合、エンジン始動を示すデータを抽出し、その振動数が、加速度センサ２０ａの検出値に含まれていないと判断した場合、エンジン停止を示すデータを抽出する。抽出されたデータは、エンジンの始動または停止の回数とし計数され、第一記憶部３０に記憶される。このエンジン始動及び停止の判断については、加速度センサ２０ａの検出値として、３軸の少なくとも１つを用いることができる。自動二輪車１２のエンジンによる振動数は、エンジンのアイドリング時に車体に生じる振動数と、アイドリング時よりもエンジンの回転数が高い時に車体に生じる振動数とを含み、予め計測され第一記憶部３０に記憶されている。計測箇所は、慣性センサ２０が設けられる場所と同一である方が、データ抽出部２２の判断精度が高まる。 Further, a case where the data extraction unit 22 extracts data related to starting and stopping of the engine of the motorcycle 12 will be described. When the data extraction unit 22 determines that the vibration frequency of the motorcycle 12 by the engine is included in the detection value of the acceleration sensor 20a, the data extraction unit 22 extracts data indicating engine start, and the vibration frequency of the acceleration sensor 20a If it is determined that the detected value is not included, data indicating engine stop is extracted. The extracted data is counted as the number of start or stop of the engine and is stored in the first storage unit 30. For determination of engine start and stop, at least one of the three axes can be used as a detection value of the acceleration sensor 20a. The frequency generated by the engine of the motorcycle 12 includes a frequency generated in the vehicle body when the engine is idling and a frequency generated in the vehicle body when the engine speed is higher than that during idling, and is measured in advance in the first storage unit 30. It is remembered. The determination accuracy of the data extraction unit 22 increases when the measurement location is the same as the location where the inertial sensor 20 is provided.
　また、データ抽出部２２が、自動二輪車１２の盗難に関するデータを抽出する場合について説明する。上述したように、データ抽出部２２は、少なくとも1軸の加速度センサ２０ａの検出値と、第一記憶部３０に記憶されたエンジンによる振動数とを比較し、これらが一致した場合、自動二輪車１２のエンジン始動と判断する。具体的には、データ抽出部２２が、加速度センサ２０ａの検出値に含まれる振動数または波形を抽出し、この抽出データとエンジンによる振動数とを照合させ、これらが一致した場合、自動二輪車１２のエンジン始動と判断する。一方、データ抽出部２２は、少なくとも1軸の加速度センサ２０ａの検出値とエンジンによる振動数とが一致しない場合、自動二輪車１２が盗難された可能性があると判断し、盗難の可能性を示すデータを抽出する。抽出されたデータは、第一記憶部３０に記憶されとともに、即座に監視部１６に送信することもできる。盗難の可能性を示すデータを抽出した場合、ＧＰＳ発信機（図示せず）を動作させることで、位置情報を取得し、その情報を利用者に提供してもよい。 Further, a case where the data extraction unit 22 extracts data related to the theft of the motorcycle 12 will be described. As described above, the data extraction unit 22 compares the detection value of at least the uniaxial acceleration sensor 20a with the engine vibration frequency stored in the first storage unit 30, and if they match, the motorcycle 12 It is determined that the engine starts. Specifically, the data extraction unit 22 extracts the vibration frequency or waveform included in the detection value of the acceleration sensor 20a, collates the extracted data with the vibration frequency of the engine, and if they match, the motorcycle 12 It is determined that the engine starts. On the other hand, the data extraction unit 22 determines that the motorcycle 12 may have been stolen when the detected value of the acceleration sensor 20a of at least one axis does not match the engine vibration frequency, and indicates the possibility of theft. Extract data. The extracted data is stored in the first storage unit 30 and can be immediately transmitted to the monitoring unit 16. When data indicating the possibility of theft is extracted, position information may be acquired by operating a GPS transmitter (not shown), and the information may be provided to the user.
　また、データ抽出部２２が、路面振動に関するデータを抽出する場合について説明する。データ抽出部２２は、自動二輪車１２の走行時、上下方向の加速度に基づいて、路面振動を示すデータを抽出する。具体的には、データ抽出部２２は、上下方向の加速度が所定値、例えば０．１Ｇを超えた場合、路面振動を示すデータとして抽出する。抽出されたデータは、路面振動の回数とし計数され、第一記憶部３０に記憶される。 Further, a case where the data extraction unit 22 extracts data regarding road surface vibration will be described. The data extraction unit 22 extracts data indicating road surface vibration based on the vertical acceleration when the motorcycle 12 travels. Specifically, when the vertical acceleration exceeds a predetermined value, for example, 0.1 G, the data extraction unit 22 extracts the data indicating road surface vibration. The extracted data is counted as the number of road surface vibrations and stored in the first storage unit 30.
　また、データ抽出部２２が、転倒に関するデータを抽出する場合について説明する。データ抽出部２２は、３軸の加速度に基づいて、転倒を示すデータを抽出する。具体的には、データ抽出部２２は、上下方向の加速度が例えば１Ｇから０Ｇへなるとともに、前後または左右方向の加速度が例えば１Ｇへと変化した場合、自動二輪車１２が転倒したことを示すデータとして抽出する。抽出されたデータは、転倒回数とし計数され、第一記憶部３０に記憶される。 Further, a case where the data extraction unit 22 extracts data related to a fall is described. The data extraction unit 22 extracts data indicating a fall based on the triaxial acceleration. Specifically, the data extraction unit 22 is a data indicating that the motorcycle 12 has fallen when the acceleration in the vertical direction is changed from 1G to 0G, for example, and the acceleration in the front / rear direction or the horizontal direction is changed to 1G, for example. Extract. The extracted data is counted as the number of falls and stored in the first storage unit 30.
　また、データ抽出部２２は、温度センサ２６が検出した温度であって、自動二輪車１２が使用中における最高温度及び最低温度を抽出する。具体的には、第一記憶部３０は、自動二輪車１２が使用中における検出温度を記憶し、データ抽出部２２が、エンジン停止後、記憶された検出温度から最高温度及び最低温度を抽出し、これらの温度を第一記憶部３０に記憶する。 Further, the data extraction unit 22 extracts the maximum temperature and the minimum temperature that are detected by the temperature sensor 26 and are in use by the motorcycle 12. Specifically, the first storage unit 30 stores the detected temperature when the motorcycle 12 is in use, and the data extraction unit 22 extracts the highest temperature and the lowest temperature from the stored detected temperature after the engine stops, These temperatures are stored in the first storage unit 30.
　第一通信部２４は、通信回線１８との通信を実現するためのアプリケーションが実装されたチップとアンテナとを有する通信インターフェイスである。第一通信部２４は、データ抽出部２２によりエンジン停止に関するデータが抽出された所定時間後、例えば１分後、第一記憶部３０に記憶されているデータを通信する。つまり、第一通信部２４は、自動二輪車１２のエンジンが停止するたびに、それまでに第一記憶部３０に蓄積されたデータを通信する。通信回線１８がＳＩＧＦＯＸである場合、現状、１回のデータ量は１２バイトまでである。よって、データ量が１２バイトを超える場合、第一通信部２４は複数回に分けて通信する。本実施形態において、第一通信部２４は、エンジン停止後、エンジンの始動及び停止と、加速及び減速の回数と、左右の旋回回数と、最高及び最低温度と、路面振動の回数と、転倒回数とに関するデータを１回または複数回に分けて通信する。 The first communication unit 24 is a communication interface having a chip on which an application for realizing communication with the communication line 18 is mounted and an antenna. The first communication unit 24 communicates data stored in the first storage unit 30 after a predetermined time, for example, 1 minute, after the data related to engine stop is extracted by the data extraction unit 22. That is, every time the engine of the motorcycle 12 stops, the first communication unit 24 communicates data accumulated in the first storage unit 30 so far. When the communication line 18 is SIGFOX, the current data amount is up to 12 bytes. Therefore, when the amount of data exceeds 12 bytes, the first communication unit 24 performs communication in multiple times. In the present embodiment, after the engine is stopped, the first communication unit 24 starts and stops the engine, the number of accelerations and decelerations, the number of left and right turns, the maximum and minimum temperatures, the number of road surface vibrations, and the number of falls. The data related to and is communicated once or multiple times.
　第一記憶部３０は、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）等のストレージ装置である。第一記憶部３０は、各センサ２０，２６の検出データと、データ抽出部２２の抽出データとを記憶する。また、第一記憶部３０は、抽出データを記憶する際、この抽出データとタイマー部２８による時刻とを紐付けことができる。 The first storage unit 30 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The first storage unit 30 stores detection data of the sensors 20 and 26 and extraction data of the data extraction unit 22. The first storage unit 30 can associate the extracted data with the time by the timer unit 28 when storing the extracted data.
　電源部３２は、データ抽出部２２、第一通信部２４、タイマー部２８及び第一記憶部３０に電力を供給できればよく、外部のエネルギから電力を発電する発電機能とバッテリの組み合わせ、構造体の振動を電力に変換する圧電素子、熱を電力に変換する熱変換素子、着脱可能な乾電池、太陽光電池、色素増感太陽電池が挙げられる。配線や充電が不要である独立型電源であることが好ましい。なお、電源部３２は、自動二輪車１２から電力が供給されるように、外部コネクタを有する構成であってもよい。 The power supply unit 32 only needs to be able to supply power to the data extraction unit 22, the first communication unit 24, the timer unit 28, and the first storage unit 30, and a combination of a power generation function that generates power from external energy and a battery, Examples include a piezoelectric element that converts vibration into electric power, a heat conversion element that converts heat into electric power, a detachable dry battery, a solar battery, and a dye-sensitized solar battery. A stand-alone power source that does not require wiring or charging is preferable. The power supply unit 32 may be configured to have an external connector so that electric power is supplied from the motorcycle 12.
　情報収集部１４は、データ抽出部２２で用いられる所定値を変更する処理実行部（図示せず）を備えてもよい。処理実行部は、各センサ２０，２６から検出された検出値と所定値の差分と、既に記憶している所定値とを組み合わせて、新たな所定値を構成する。また、処理実行部は、既存の所定値を新たな所定値へと変更し、その新しい所定値を実行する。 The information collection unit 14 may include a processing execution unit (not shown) that changes a predetermined value used in the data extraction unit 22. The process execution unit forms a new predetermined value by combining the difference between the detection value detected from each of the sensors 20 and 26 and the predetermined value and the predetermined value already stored. The process execution unit changes the existing predetermined value to a new predetermined value, and executes the new predetermined value.
　このように構成される情報収集部１４によれば、ＩｏＴに適した無線通信規格である省電力型広域無線網サービスの通信回線１８を利用することが、省電力、低通信費、及び長距通信の点で好ましい。また、省電力型広域無線網サービスは、移動中による通信は不安定であるため、自動二輪車１２のエンジン停止をトリガーにして第一通信部２４を動作させることで、最新かつ１度のドライビングに関するデータを確実に監視部１６に送ることができる。 According to the information collecting unit 14 configured as described above, using the communication line 18 of the power-saving wide-area wireless network service, which is a wireless communication standard suitable for IoT, reduces power consumption, low communication cost, and long distance. It is preferable in terms of communication. In addition, since the power-saving wide area wireless network service is unstable during movement, the first communication unit 24 is activated by using the engine stop of the motorcycle 12 as a trigger, so that the latest and one-time driving can be performed. Data can be reliably sent to the monitoring unit 16.
　次に、監視部１６の構成について説明する。監視部１６は、自動二輪車１２を遠隔から監視する装置である。監視部１６は、情報収集部１４のデータを受信する第二通信部３４と、第二通信部３４が受信したデータを記憶する第二記憶部３６と、第二記憶部３６に記憶されたデータに基づいて、自動二輪車１２の状態を示す情報を分析する情報分析部３８と、外部からの入力指示を受け付ける入力部（図示せず）とを有する。入力部は、データ抽出部２２に用いられる所定値を変更可能である。このように監視部１６から、使用状況や蓄積されたデータに基づいて所定値を変更可能とすることで、自動二輪車１２などの移動車両の状態の抽出精度をさらに向上させることができる。なお、情報収集部１４に予め複数の所定値を記憶させておいて、監視部１６から新たな所定値に変更可能としてもよい。 Next, the configuration of the monitoring unit 16 will be described. The monitoring unit 16 is a device that remotely monitors the motorcycle 12. The monitoring unit 16 includes a second communication unit 34 that receives data from the information collection unit 14, a second storage unit 36 that stores data received by the second communication unit 34, and data stored in the second storage unit 36. The information analysis unit 38 that analyzes information indicating the state of the motorcycle 12 and an input unit (not shown) that receives an input instruction from the outside. The input unit can change a predetermined value used for the data extraction unit 22. As described above, by allowing the monitoring unit 16 to change the predetermined value based on the usage status and accumulated data, it is possible to further improve the accuracy of extracting the state of the moving vehicle such as the motorcycle 12. Note that a plurality of predetermined values may be stored in the information collecting unit 14 in advance, and may be changed from the monitoring unit 16 to a new predetermined value.
　第二通信部３４は、第一通信部２４と同様、通信回線１８との通信を実現するためのアプリケーションが実装されたチップとアンテナとを有する通信インターフェイスであり、第一通信部２４からのデータを受信する。具体的には、第二通信部３４は、データは、加減速、左右の旋回、エンジン始動及び停止、盗難の可能性、路面振動、転倒、最高及び最低温度に関するデータを受信する。また、第二通信部３４は、自動二輪車１２の位置情報を受信する。 Similar to the first communication unit 24, the second communication unit 34 is a communication interface having a chip and an antenna on which an application for realizing communication with the communication line 18 is mounted, and data from the first communication unit 24. Receive. Specifically, the second communication unit 34 receives data related to acceleration / deceleration, left / right turning, engine start / stop, possibility of theft, road surface vibration, falling, maximum and minimum temperature. Further, the second communication unit 34 receives the position information of the motorcycle 12.
　さらに、第二通信部３４は、通信回線１８を介して、気象情報提供センター４０に接続されており、気象情報提供センター４０から気象情報を受信する。気象情報提供センター４０は、気象庁、民間の気象情報提供会社であり、気象情報には、天候と気温が含まれる。 Further, the second communication unit 34 is connected to the weather information providing center 40 via the communication line 18 and receives weather information from the weather information providing center 40. The meteorological information provision center 40 is a meteorological agency or a private meteorological information providing company. The meteorological information includes weather and temperature.
　第二記憶部３６は、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）等のストレージ装置である。第二記憶部３６は、情報収集部１４から送られたデータと、気象情報提供センター４０から送られた気象情報とを記憶する。また、第二記憶部３６は、自動二輪車１２固有の情報、例えばモデル名称、登録型式、車台番号、走行距離を記憶する。走行距離は、システム１０登録時における走行距離と、自動二輪車１２が検査または修理時にメモされる走行距離とであり、日付とともに記憶される。さらに、第二記憶部３６は、情報分析部３８の演算結果、ＯＳ（Operating System）や、各種のアプリケーションプログラム等を記憶することもできる。 The second storage unit 36 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The second storage unit 36 stores the data sent from the information collecting unit 14 and the weather information sent from the weather information providing center 40. The second storage unit 36 stores information unique to the motorcycle 12, such as a model name, a registration type, a chassis number, and a travel distance. The travel distance is the travel distance at the time of registration of the system 10 and the travel distance recorded when the motorcycle 12 is inspected or repaired, and is stored together with the date. Furthermore, the second storage unit 36 can also store calculation results of the information analysis unit 38, an OS (Operating System), various application programs, and the like.
　情報分析部３８は、第二記憶部３６に記憶される各種データを演算して、自動二輪車の状態を示す情報を出力する。また、情報分析部３８は、情報収集部１４から送られたデータを直接に演算に用いることができる。 The information analysis unit 38 calculates various data stored in the second storage unit 36 and outputs information indicating the state of the motorcycle. Further, the information analysis unit 38 can directly use the data sent from the information collection unit 14 for calculation.
　具体的には、情報分析部３８は、所定期間における、エンジン始動回数と、１回あたりの平均走行距離と、平均速度と、加速及び減速の回数と、左右の旋回回数と、最高車体温度と、最低車体温度と、路面振動の回数と、転倒回数を抽出する。所定期間は、任意に設定可能であり、例えば１年である。所定期間における走行距離は、第二記憶部３６に記憶された走行距離から推定される。１回あたりの平均走行距離は、推定された走行距離からエンジン始動回数を除した値である。平均速度は、推定された走行距離から、エンジン始動から停止におけるエンジン稼働時間を除して算出する。エンジン始動回数と、加速及び減速の回数と、左右の旋回回数と、最高車体温度と、最低車体温度と、路面振動の回数と、転倒回数とは、情報収集部１４より送信されるデータから求められる。 Specifically, the information analysis unit 38 determines the number of engine starts, the average mileage per revolution, the average speed, the number of accelerations and decelerations, the number of turns left and right, and the maximum vehicle body temperature in a predetermined period. The minimum body temperature, the number of road surface vibrations, and the number of falls are extracted. The predetermined period can be arbitrarily set, for example, one year. The travel distance in the predetermined period is estimated from the travel distance stored in the second storage unit 36. The average travel distance per time is a value obtained by dividing the estimated travel distance by the number of engine starts. The average speed is calculated by dividing the estimated running distance by the engine operation time from engine start to stop. The number of engine starts, the number of accelerations and decelerations, the number of left and right turns, the maximum vehicle body temperature, the minimum vehicle body temperature, the number of road surface vibrations, and the number of falls are obtained from data transmitted from the information collecting unit 14. It is done.
　また、情報分析部３８は、所定期間における、主走行地域と、雨天時の走行回数を抽出する。主走行地域は、例えば都道府県や市区町村などの自治体地域であり、通信時に使用される無線基地局の位置により把握することができる。雨天時の走行回数は、気象情報が雨である時に、その地域から通信された回数をカウントし抽出する。 In addition, the information analysis unit 38 extracts the main travel area and the number of travels in the rain during a predetermined period. The main travel area is a local government area such as a prefecture or a municipality, for example, and can be grasped from the position of the radio base station used during communication. The number of travels in the rain is extracted by counting the number of times of communication from the area when the weather information is rainy.
　このように構成される監視部１６によれば、情報収集部１４から送られてくるデータに基づいて、自動二輪車１２の状況を把握することができる。例えば、駆動装置、すなわちエンジン及びその付属品については、エンジン始動回数と、１回あたりの平均走行距離と、平均速度と、最高車体温度と、加速の回数を調査することで、その使用状況を把握することできる。制動装置、すなわちブレーキ及びその付属品については、減速回数を調査することで、その使用状況を把握することできる。さらに、気象情報提供センター４０から気象情報を入手することで、自動二輪車１２の使用状況を、その当時の外部環境とともに把握することができる。 According to the monitoring unit 16 configured in this way, the situation of the motorcycle 12 can be grasped based on the data sent from the information collecting unit 14. For example, with regard to the drive system, that is, the engine and its accessories, the usage status can be determined by investigating the number of engine starts, the average mileage per time, the average speed, the maximum body temperature, and the number of accelerations. I can figure it out. About a brake device, ie, a brake, and its accessories, the use condition can be grasped | ascertained by investigating the frequency | count of deceleration. Furthermore, by obtaining weather information from the weather information providing center 40, the usage status of the motorcycle 12 can be grasped together with the external environment at that time.
　これらの状況を示すデータが網羅的に把握できることで、再現性の高い再現テストを実施でき、不具合の原因を究明することができるようになる。よって、不具合に関する現品調査の時間を大幅に削減することができる。また、不具合の原因の究明率が向上するので、適切な措置を講ずることができる。また、不具合発生を未然に防ぐ予防保全に関する計画立案が可能になる。また、メンテナンスに関する点検時期、点検項目、点検箇所などの計画性も向上する。また、自動二輪車１２の使用状況に関するデータから、自動二輪車１２に使用される部材の耐久性を示す情報も抽出されるので、評価設計や基準の見直しが可能になるとともに、リコール率の低減にもつながり、自動二輪車１２の所有者だけではなく製造者側にとっても有用である。 ∙ Comprehensive understanding of the data indicating these situations enables a highly reproducible reproducibility test to be conducted and the cause of the failure to be determined. Therefore, it is possible to greatly reduce the time for actual product inspection related to defects. Further, since the investigation rate of the cause of the failure is improved, appropriate measures can be taken. In addition, it is possible to make a plan for preventive maintenance to prevent the occurrence of defects. In addition, the maintenance schedule, inspection items, inspection points, etc. are improved. In addition, information indicating the durability of the members used in the motorcycle 12 is also extracted from the data relating to the usage status of the motorcycle 12, so that the evaluation design and the standards can be reviewed and the recall rate can be reduced. This is useful not only for the owner of the motorcycle 12 but also for the manufacturer.
　また、このように構成される監視部１６によれば、自動二輪車１２の盗難も遠隔で把握することができる。すなわち、情報収集部１４から送られてくる盗難の可能性に関するデータに基づいて、情報分析部３８は、自動二輪車１２の盗難された旨の情報とともに、自動二輪車１２の位置情報を利用者に知らせることができる。 Further, according to the monitoring unit 16 configured as described above, the theft of the motorcycle 12 can be remotely grasped. That is, based on the data on the possibility of theft sent from the information collecting unit 14, the information analysis unit 38 notifies the user of the location information of the motorcycle 12 together with the information that the motorcycle 12 has been stolen. be able to.
　また、第二記憶部３６は、評価設計や基準に関するデータを予め記憶し、情報分析部３８が、その情報と、自動二輪車１２の使用状況に関するデータとに基づいて、不具合に関するリスク分析を行うことができる。例えば、エンジンの始動回数が、駆動系装置の一部品に関する評価設計に記載された回数を超えると、情報分析部３８が、リスクを示す情報を表示させることができる。また、実際のエンジン始動回数が、上述の評価設計に記載の回数に近づくにつれて、段階的にリスクが高まるように表示させてもよい。 In addition, the second storage unit 36 stores in advance data related to the evaluation design and criteria, and the information analysis unit 38 performs risk analysis related to the malfunction based on the information and data related to the usage status of the motorcycle 12. Can do. For example, when the number of engine starts exceeds the number described in the evaluation design for one part of the drive train device, the information analysis unit 38 can display information indicating the risk. Moreover, you may display so that a risk may increase in steps as an actual engine start frequency approaches the frequency described in the above-mentioned evaluation design.
　次に、図３を用いて、システム１０を用いた遠隔状態監視方法の一態様について説明する。 Next, an aspect of the remote state monitoring method using the system 10 will be described with reference to FIG.
　まず、ステップＳ０１において、自動二輪車に設けられた慣性センサ２０が慣性を検出する。具体的には、加速度センサ２０ａが３軸の加速度を検出し、角速度センサ２０ｂが３軸の角速度を検出する。 First, in step S01, the inertial sensor 20 provided in the motorcycle detects the inertia. Specifically, the acceleration sensor 20a detects triaxial acceleration, and the angular velocity sensor 20b detects triaxial angular velocity.
　ステップＳ０２では、データ抽出部２２が、検出された加速度及び角速度に基づいてデータを抽出する。具体的には、データ抽出部２２が、前後方向の加速度と、左右方向を中心とした角速度とに基づいて、加速または減速を示すデータを抽出する。 In step S02, the data extraction unit 22 extracts data based on the detected acceleration and angular velocity. Specifically, the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction.
　そして、ステップＳ０３において、第一通信部２４が、抽出されたデータを遠隔の監視部１６に送信し、ステップＳ０４においては、監視部１６において、第二通信部３４が、送信されたデータを受信する。そして、ステップＳ０５で、第二記憶部３６が、受信されたデータを記憶する。 In step S03, the first communication unit 24 transmits the extracted data to the remote monitoring unit 16, and in step S04, the second communication unit 34 receives the transmitted data in the monitoring unit 16. To do. In step S05, the second storage unit 36 stores the received data.
　最後に、ステップＳ０６では、情報分析部３８が、第二記憶部３６に記憶されたデータに基づいて、自動二輪車１２の状態を示す情報を分析する。 Finally, in step S06, the information analysis unit 38 analyzes information indicating the state of the motorcycle 12 based on the data stored in the second storage unit 36.
　本発明は、システム１０が、上述した監視方法を実行することができる機能を備えていればよく、図１に示す構成に限定されない。上記一連のステップは、ハードウェアにより実行させることも、ソフトウェアにより実行させることもできる。また、１つの機能ブロックは、ハードウェア単体で構成されてもよいし、ソフトウェア単体で構成されてもよく、またはこれらの組み合わせで構成されてもよい。 The present invention is not limited to the configuration shown in FIG. 1 as long as the system 10 has a function capable of executing the monitoring method described above. The series of steps can be executed by hardware or software. In addition, one functional block may be configured by hardware alone, may be configured by software alone, or may be configured by a combination thereof.
　本実施形態においては、第一通信部２４と第二通信部３４の間で双方向通信できる構成としても良い。この構成により、監視部１６から、データ抽出部２２の処理内容を変更することができる。 In the present embodiment, a configuration in which bidirectional communication can be performed between the first communication unit 24 and the second communication unit 34 may be adopted. With this configuration, the processing content of the data extraction unit 22 can be changed from the monitoring unit 16.
　本実施形態においては、監視部１６が、所定の条件を満たす場合、利用者の端末に情報を出力する場合について説明したが、本発明はこの構成に限定されない。利用者は、必要な情報または履歴について、監視部１６にアクセスすることで閲覧またはダウンロードすることができる。また、監視部１６に対して、所定の条件を満たすことによって、製造業者や修理業者もアクセスすることができるようにしてもよい。 In the present embodiment, the case where the monitoring unit 16 outputs information to the user's terminal when the predetermined condition is satisfied has been described, but the present invention is not limited to this configuration. The user can browse or download necessary information or history by accessing the monitoring unit 16. Further, the manufacturer and the repairer may be made accessible by satisfying a predetermined condition with respect to the monitoring unit 16.
　本実施形態においては、慣性センサ２０が加速度センサ２０ａと角速度センサ２０ｂを有する場合について説明したが、本発明はこの構成に限定されず、慣性センサ２０が３軸の角度を検出するセンサを有していてもよい。角度の検出により、自動二輪車１２の傾斜の変化とともに、自動二輪車１２の方角の変化がわかるので、右折及び左折の抽出精度が向上する。 In the present embodiment, the case where the inertial sensor 20 includes the acceleration sensor 20a and the angular velocity sensor 20b has been described. However, the present invention is not limited to this configuration, and the inertial sensor 20 includes a sensor that detects a triaxial angle. It may be. By detecting the angle, the change in the direction of the motorcycle 12 as well as the change in the inclination of the motorcycle 12 can be known, so that the accuracy of extracting right and left turns is improved.
　図４を用いて、別の実施形態である、移動車両（図示せず）を遠隔で監視する監視システムを用いた遠隔状態監視方法の一態様について説明する。この実施形態では、なお、先の実施形態において述べた構成には同じ符号を付し、その詳細な説明は省略する。 With reference to FIG. 4, an aspect of a remote state monitoring method using a monitoring system for remotely monitoring a moving vehicle (not shown), which is another embodiment, will be described. In this embodiment, the same reference numerals are given to the configurations described in the previous embodiments, and detailed description thereof is omitted.
　まず、ステップＳ１１において、自動二輪車に設けられた慣性センサ２０が慣性を検出する。具体的には、加速度センサ２０ａが３軸の加速度を検出し、角速度センサ２０ｂが３軸の角速度を検出する。 First, in step S11, the inertial sensor 20 provided in the motorcycle detects the inertia. Specifically, the acceleration sensor 20a detects triaxial acceleration, and the angular velocity sensor 20b detects triaxial angular velocity.
　ステップＳ１２では、データ抽出部２２が、検出された検出値が所定値を超えた場合、移動車両の状態を示すデータとして抽出する。具体的には、データ抽出部２２は、自動二輪車１２の走行時、前後方向の加速度と、左右方向を中心とした角速度とに基づいて、加速または減速を示すデータを抽出する。さらに具体的には、データ抽出部２２は、前後方向の加速度が所定値を超え、かつ、左右方向を中心とした角速度が所定値を超えた場合、加速または減速を示すデータとして抽出する。また、所定値は、監視部１６から変更可能である。なお、本実施形態では、データ抽出部２２が、加速または減速を示すデータを抽出する場合について説明したが、この構成に限定されず、データ抽出部２２が、急加速または急減速、左旋回または右旋回、エンジン始動または停止、盗難などを示すデータを抽出することができる。 In step S12, the data extraction unit 22 extracts data indicating the state of the moving vehicle when the detected value exceeds a predetermined value. Specifically, when the motorcycle 12 travels, the data extraction unit 22 extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction. More specifically, when the acceleration in the front-rear direction exceeds a predetermined value and the angular velocity centered in the left-right direction exceeds a predetermined value, the data extraction unit 22 extracts the data indicating acceleration or deceleration. The predetermined value can be changed from the monitoring unit 16. In the present embodiment, the case where the data extraction unit 22 extracts data indicating acceleration or deceleration has been described. However, the present invention is not limited to this configuration, and the data extraction unit 22 can perform rapid acceleration or rapid deceleration, left turn or Data indicating right turn, engine start or stop, theft, etc. can be extracted.
　そして、ステップＳ１３において、データ抽出部２２が、検出されたデータの回数を計数し、第一記憶部３０に記憶する。具体的には、データ抽出部２２が、抽出されたデータを、加速または減速の回数とし計数し、第一記憶部３０に記憶する。ステップＳ１４では、第一通信部２４が、第一記憶部３０に記憶されたデータを遠隔の監視部１６に送信する。監視部１６に送られたデータは、情報分析部３８によって、移動車両の状態を示す情報として分析される。 In step S 13, the data extraction unit 22 counts the number of detected data and stores it in the first storage unit 30. Specifically, the data extraction unit 22 counts the extracted data as the number of accelerations or decelerations, and stores it in the first storage unit 30. In step S <b> 14, the first communication unit 24 transmits the data stored in the first storage unit 30 to the remote monitoring unit 16. The data sent to the monitoring unit 16 is analyzed by the information analysis unit 38 as information indicating the state of the moving vehicle.
　この監視方法においては、上述したような温度、気象情報、位置情報、盗難情報を含むことができる。移動車両としては、路面に設置して移動するものであれば自動二輪者に限らず、自動車、自転車、電車、車いすであってもよい。 This monitoring method can include temperature, weather information, location information, and theft information as described above. The moving vehicle is not limited to a motorcycle as long as it is installed on the road surface and moves, and may be an automobile, a bicycle, a train, or a wheelchair.
　１０　自動二輪車監視システム、１２　自動二輪車、１４　情報収集部、１６　監視部、１８　通信回線、２０　慣性センサ、２０ａ　加速度センサ，２０ｂ　角速度センサ，２２　データ抽出部、２４　第一通信部、２６　温度センサ、２８　タイマー部、３０　第一記憶部、３２　電源部、３４　第二通信部、３６　第二記憶部、３８　情報分析部、４０　気象情報提供センター。 10 motorcycle monitoring system, 12 motorcycle, 14 information collection unit, 16 monitoring unit, 18 communication line, 20 inertial sensor, 20a acceleration sensor, 20b angular velocity sensor, 22 data extraction unit, 24 first communication unit, 26 temperature sensor, 28 timer section, 30 first storage section, 32 power supply section, 34 second communication section, 36 second storage section, 38 information analysis section, 40 weather information provision center.

Claims (6)

  1. 　自動二輪車に設けられ、当該二輪車の状態に関する情報を収集する情報収集部と、
    　前記情報収集部と通信回線を介して接続され、当該二輪車を遠隔で監視する監視部と、
    　を有する自動二輪車監視システムにおいて、
    　前記通信回線は、省電力型広域無線の通信回線であり、
    　前記情報収集部は、
    　自動二輪車の慣性を検出する慣性センサと、
    　前記慣性センサの検出値に基づいて、監視部に送信するデータを抽出するデータ抽出部と、
    　前記データ抽出部が抽出したデータを前記監視部に送信する第一通信部と、
    　を有し、
    　前記監視部は、
    　前記情報収集部の情報を受信する第二通信部と、
    　前記第二通信部が受信したデータを記憶する記憶部と、
    　記憶部に記憶されたデータに基づいて、自動二輪車の状態を示す情報を分析する情報分析部と、
    　を有することを特徴とする自動二輪車監視システム。     An information collecting unit that is provided in a motorcycle and collects information on the state of the motorcycle;
    A monitoring unit connected to the information collecting unit via a communication line and remotely monitoring the motorcycle;
    In a motorcycle monitoring system having
    The communication line is a power-saving wide-area wireless communication line,
    The information collecting unit
    An inertial sensor for detecting the inertia of the motorcycle;
    A data extraction unit that extracts data to be transmitted to the monitoring unit based on the detection value of the inertial sensor;
    A first communication unit that transmits the data extracted by the data extraction unit to the monitoring unit;
    Have
    The monitoring unit
    A second communication unit that receives information of the information collection unit;
    A storage unit for storing data received by the second communication unit;
    An information analysis unit that analyzes information indicating the state of the motorcycle based on the data stored in the storage unit;
    A motorcycle monitoring system comprising:
  2. 　請求項１に記載の自動二輪車監視システムにおいて、
    　前記慣性センサは、３軸の加速度センサと３軸の角速度センサを含み、
    　前記データ抽出部は、前後方向の加速度と、左右方向を中心とした角速度とに基づいて、加速または減速を示すデータを抽出する、
    　ことを特徴とする自動二輪車監視システム。     The motorcycle monitoring system according to claim 1,
    The inertial sensor includes a triaxial acceleration sensor and a triaxial angular velocity sensor,
    The data extraction unit extracts data indicating acceleration or deceleration based on the acceleration in the front-rear direction and the angular velocity centered on the left-right direction.
    Motorcycle monitoring system characterized by that.
  3. 　請求項２に記載の自動二輪車監視システムにおいて、
    　前記データ抽出部は、左右方向の加速度と、前後方向及び上下方向を中心とした角速度とに基づいて、右旋回または左旋回を示すデータを抽出する、
    　ことを特徴とする自動二輪車監視システム。     In the motorcycle monitoring system according to claim 2,
    The data extraction unit extracts data indicating a right turn or a left turn based on acceleration in the left-right direction and an angular velocity centered on the front-rear direction and the up-down direction.
    Motorcycle monitoring system characterized by that.
  4. 　請求項２または３のいずれか１つに記載の自動二輪車監視システムにおいて、
    　前記データ抽出部は、自動二輪車のエンジンによる振動数が、前記加速度センサの検出値に含まれていると判断した場合、エンジン始動を示すデータを抽出し、その振動数が、前記加速度センサの検出値に含まれていないと判断した場合、エンジン停止を示すデータを抽出する、
    　ことを特徴とする自動二輪車監視システム。     The motorcycle monitoring system according to any one of claims 2 and 3,
    When it is determined that the vibration frequency of the motorcycle engine is included in the detection value of the acceleration sensor, the data extraction unit extracts data indicating engine start, and the vibration frequency is detected by the acceleration sensor. If it is determined that it is not included in the value, data indicating engine stop is extracted.
    Motorcycle monitoring system characterized by that.
  5. 　省電力型広域無線の通信回線を介して、自動二輪車を遠隔で監視する遠隔状態監視方法において、
    　自動二輪車に設けられた慣性センサが慣性を検出するステップと、
    　検出値に基づいてデータを抽出するステップと、
    　抽出されたデータを遠隔の監視部に送信するステップと、
    　送信されたデータを遠隔部で受信するステップと、
    　受信されたデータを記憶するステップと、
    　記憶部に記憶されたデータに基づいて、自動二輪車の状態を示す情報を分析するステップと、
    　を有することを特徴とする遠隔状態監視方法。     In a remote state monitoring method for remotely monitoring a motorcycle via a power-saving wide-area wireless communication line,
    A step of detecting inertia by an inertial sensor provided in the motorcycle;
    Extracting data based on detected values;
    Transmitting the extracted data to a remote monitoring unit;
    Receiving the transmitted data remotely, and
    Storing the received data; and
    Analyzing the information indicating the state of the motorcycle based on the data stored in the storage unit;
    A remote state monitoring method comprising:
  6. 　無線通信を介して、移動車両を遠隔で監視する遠隔状態監視方法において、
    　移動車両に設けられた慣性センサが慣性を検出するステップと、
    　検出値が所定値を超えた場合、移動車両の状態を示すデータとして抽出するステップと、
    　検出されたデータの回数を計数し、記憶部に記憶するステップと、
    　記憶部に記憶されたデータを遠隔の監視部に送信するステップと、
    　を有し、
    　前記所定値は前記監視部から変更可能である、
    　ことを特徴とする遠隔状態監視方法。

          In a remote state monitoring method for remotely monitoring a moving vehicle via wireless communication,
    A step of detecting inertia by an inertial sensor provided in the moving vehicle;
    When the detected value exceeds a predetermined value, extracting as data indicating the state of the moving vehicle;
    Counting the number of detected data and storing in the storage unit;
    Transmitting data stored in the storage unit to a remote monitoring unit;
    Have
    The predetermined value can be changed from the monitoring unit.
    A remote state monitoring method characterized by the above.

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JP2012254729A (en) * 2011-06-09 2012-12-27 Pioneer Electronic Corp Display device for motorcycle, display device, display method for motorcycle, display program for motorcycle, and recording medium storing the display program for motorcycle
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