WO2021140750A1 - Système de diagnostic de corps mobile - Google Patents

Système de diagnostic de corps mobile Download PDF

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Publication number
WO2021140750A1
WO2021140750A1 PCT/JP2020/042868 JP2020042868W WO2021140750A1 WO 2021140750 A1 WO2021140750 A1 WO 2021140750A1 JP 2020042868 W JP2020042868 W JP 2020042868W WO 2021140750 A1 WO2021140750 A1 WO 2021140750A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
diagnosis
communication
unit
mobile body
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Application number
PCT/JP2020/042868
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English (en)
Japanese (ja)
Inventor
光 前田
大輔 山原
密島　康一
博司 海路
Original Assignee
パナソニックＩｐマネジメント株式会社
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Publication of WO2021140750A1 publication Critical patent/WO2021140750A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/04—Monitoring the functioning of the control system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions
    • 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
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/175—Controlling the light source by remote control
    • H05B47/19—Controlling the light source by remote control via wireless transmission
    • H05B47/195—Controlling the light source by remote control via wireless transmission the transmission using visible or infrared light

Definitions

  • the present disclosure relates to a mobile body diagnosis system that diagnoses a moving body such as a vehicle having an automatic driving function.
  • Patent Document 1 discloses a street light that notifies a dangerous area and a safe area when a disaster occurs.
  • the present disclosure provides a mobile body diagnosis system that can improve the safety of diagnosis of whether or not a moving body such as a vehicle is hacked.
  • one aspect of the mobile body diagnostic system is via a mobile body having an automatic operation function, a communication unit capable of communicating with a device other than the mobile body, and the communication unit. It is provided with a diagnostic unit that diagnoses whether or not the mobile body has been hacked, and the diagnostic unit communicates with a device other than the mobile body performed by the communication unit while performing the diagnosis. Cut off.
  • the mobile body diagnosis system can improve the safety of diagnosis of whether or not a mobile body has been hacked.
  • FIG. 1 is a diagram showing an application example of the mobile diagnostic system according to the embodiment.
  • FIG. 2 is a block diagram showing a functional configuration of the mobile diagnostic system according to the embodiment.
  • FIG. 3 is a diagram showing an example of a question asked to the vehicle from the diagnostic unit of the lighting device according to the embodiment.
  • FIG. 4 is a diagram showing a means for confirming the toughness of software performed on a vehicle from the lighting device according to the embodiment.
  • FIG. 5 is a diagram showing an example of a vehicle operation log acquired by the diagnostic unit of the lighting device according to the embodiment.
  • FIG. 6 is a diagram showing an example of notification information broadcast by the irradiation unit of the lighting device according to the embodiment.
  • FIG. 1 is a diagram showing an application example of the mobile diagnostic system according to the embodiment.
  • FIG. 2 is a block diagram showing a functional configuration of the mobile diagnostic system according to the embodiment.
  • FIG. 3 is a diagram showing an example of a question asked to the vehicle from the diagnostic unit of the lighting
  • FIG. 7 is a flowchart showing an operation example 1 of the mobile body diagnosis system according to the embodiment.
  • FIG. 8 is a flowchart showing an example of a specific operation of the diagnostic unit.
  • FIG. 9 is a flowchart showing another example of the specific operation of the diagnostic unit.
  • FIG. 10 is a flowchart showing another example of the specific operation of the diagnostic unit.
  • FIG. 11 is a flowchart showing another example of the specific operation of the diagnostic unit.
  • FIG. 12 is a schematic view showing the arrangement of a plurality of lighting devices constituting the mesh network.
  • FIG. 13 is a diagram showing a communication connection relationship of a plurality of lighting devices constituting a mesh network.
  • FIG. 14 is a flowchart showing an example of the operation of the lighting device according to the embodiment.
  • FIG. 14 is a flowchart showing an example of the operation of the lighting device according to the embodiment.
  • FIG. 15 is a flowchart showing another example of the operation of the lighting device according to the embodiment.
  • FIG. 16 is a flowchart showing an operation example 2 of the mobile body diagnosis system according to the embodiment.
  • FIG. 17 is a diagram showing an application example of the mobile diagnostic system according to the modified example.
  • the lighting device has a diagnostic function for diagnosing whether or not an automatically driven vehicle or the like has been hacked by a third party.
  • a diagnostic function for diagnosing whether or not an automatically driven vehicle or the like has been hacked by a third party.
  • hacking means illegally invading another person's computer to cause an unexpected operation or not to perform a normal operation.
  • FIG. 1 is a diagram showing an application example of the mobile diagnostic system according to the embodiment.
  • the mobile body diagnosis system 100 is applied to a building 60 such as a house.
  • the lighting device 10 included in the moving body diagnosis system 100 is installed in a parking lot 91 in which the vehicle 50 is parked, and irradiates the vehicle 50 and the parking lot 91 with illumination light.
  • the lighting device 10 is installed on the outer wall of a house, which is an example of a building 60, but the lighting device 10 may be installed on a roof, a wall, a pillar, or the like of a house.
  • the vehicle 50 is a vehicle having an automatic driving function, and is, for example, an automobile, a motorcycle, or the like.
  • Autonomous driving is to drive an automobile autonomously, and includes, for example, driving without the need for a driver, as well as driving while assisting the driver's steering wheel operation and brake operation.
  • the vehicle 50 may be a vehicle capable of switching between a manual driving mode and an automatic driving mode.
  • the vehicle 50 is provided with a communication antenna 51 for performing radio wave communication with the lighting device 10, a camera 52 and a headlight 53 for performing visible light communication with the lighting device 10.
  • the vehicle 50 has an AI assistant function (software agent).
  • FIG. 2 is a block diagram showing a functional configuration of the mobile diagnostic system 100.
  • the mobile diagnostic system 100 includes a lighting device 10, a computer 30 that is communicated and connected to the lighting device 10 via a wide area communication network 20 such as the Internet, a vehicle 50, and a device 69.
  • the lighting device 10 includes a communication unit 11, a control unit 15, and a diagnosis unit 16.
  • the lighting device 10 incorporates these components in a housing (light body).
  • the communication unit 11 is a communication module for the lighting device 10 to perform wireless communication with the vehicle 50.
  • the communication unit 11 includes a visible light communication unit 11a for performing visible light communication with the vehicle 50 and a radio wave communication unit 11b for performing radio wave communication with the vehicle 50.
  • the visible light communication unit 11a has an irradiation unit 12 and a camera 13.
  • the irradiation unit 12 is a light source that irradiates modulated visible light that can be recognized as a digital signal by the camera 52 of the vehicle 50.
  • the irradiation unit 12 is also used as a light source for irradiating illumination light (light that is not recognized as a digital signal by the camera 52) that illuminates the surroundings of the vehicle 50.
  • the light emitted by the irradiation unit 12 is, for example, white light.
  • Visible light communication means communication in which the brightness of visible light emitted by the irradiation unit 12 (light source) is modulated at a speed that cannot be recognized by the human eye and used as a digital signal. Modulated visible light feels like light of constant brightness to humans.
  • the irradiation unit 12 is, for example, a liquid crystal projector that projects a still image or a moving image, or an LED (Light Emitting Diet) light emitting module that emits red, green, blue light and light in which these colors are combined.
  • the irradiation unit 12 may be a combination of a single SMD (Surface Mount Device) such as RGB, a light bulb color (2700K) or a neutral white color (5000K), and a COB (Chip On Board).
  • the irradiation unit 12 is provided, for example, at a position higher than the vehicle height of the vehicle 50.
  • the camera 13 is a sensor for recognizing the modulated light emitted by the headlight 53 of the vehicle 50 as a digital signal.
  • the camera 13 also functions as a sensor for detecting the presence or absence of the vehicle 50 in the parking lot 91.
  • the camera 13 always operates to detect whether or not the vehicle 50 is parked in the parking lot 91.
  • the radio wave communication unit 11b is a communication module including an antenna for transmitting and receiving radio waves.
  • a communication method such as Bluetooth (registered trademark), a specific low power radio using a frequency of 920 MHz band, Zigbee (registered trademark), or WiFi (registered trademark) is used. ..
  • the control unit 15 is composed of a microprocessor, a memory 15a, a program stored in the memory 15a, and the like.
  • the memory 15a stores identification information of the vehicle 50 such as a vehicle number. Further, in the memory 15a, the operation log and the diagnosis result of the vehicle 50, which will be described later, are recorded.
  • the control unit 15 controls the lighting of the irradiation unit 12, the operation of the communication unit 11, the camera 13, and the diagnosis unit 16.
  • the diagnosis unit 16 is a circuit that diagnoses whether or not the vehicle 50 has been hacked via the communication unit 11.
  • the diagnosis unit 16 may be realized as a function of the control unit 15.
  • the vehicle diagnosis by the diagnosis unit 16 will be described with reference to three diagnosis examples.
  • the first diagnosis example is an example in which the vehicle diagnosis is performed based on the answers to the questions asked from the lighting device 10 to the vehicle 50.
  • the diagnosis unit 16 asks a plurality of questions to the vehicle 50, and determines whether or not the vehicle 50 has been hacked based on at least one of the answer time and the answer tendency to the questions.
  • FIG. 3 is a diagram showing an example of a question asked from the diagnostic unit 16 of the lighting device 10 to the vehicle 50.
  • the diagnosis unit 16 asks the vehicle 50 a question whose answer is uniquely determined via the communication unit 11, and when the answer time to the question is later than the predetermined time, the vehicle 50 is hacked. Diagnose.
  • Questions for which the answer is uniquely determined are, for example, the number of passengers in the vehicle 50, the destination of the vehicle 50, the seat position of the owner (owner) seat of the vehicle 50, the temperature difference between the inside and the outside of the vehicle, and the presence or absence of braking operation.
  • the number of passengers in the vehicle 50 can be acquired by the camera 52 of the vehicle 50.
  • the destination of the vehicle 50 can be obtained by car navigation.
  • the temperature difference between the inside and outside of the vehicle can be obtained by a temperature sensor.
  • the seat position of the owner's seat can be acquired by the seat position registered in advance in the vehicle 50 by the owner.
  • the presence or absence of the brake operation can be acquired by the ECU (Electronic Control Unit) of the vehicle 50.
  • ECU Electronic Control Unit
  • the diagnosis unit 16 determines that the vehicle 50 has been hacked when the answer time to the question is later than the predetermined time, and when the answer time is within the predetermined time, the vehicle 50 determines. Judge that it has not been hacked.
  • the question whose answer is uniquely determined and the answer may include the steering wheel operation instruction, the brake operation instruction, and the response result to these operation instructions, which are the inspection contents of the vehicle continuous inspection (vehicle inspection). ..
  • the diagnosis unit 16 asks a plurality of questions for which the answer is not uniquely determined to the vehicle 50 via the communication unit 11, and the fluctuation width of the answer to the plurality of questions is smaller than the predetermined blur width. In addition, it is determined that the vehicle 50 has been hacked.
  • the variation range of answers is the magnitude of the variation of multiple answers to a plurality of similar questions.
  • Questions for which the answer is not uniquely determined are, for example, questions about the owner's mood / mood, criteria for determining the operation route, the owner's satisfaction with the vehicle 50, the owner's happiness, and the weather conditions in the area surrounding the vehicle 50. is there.
  • the mood and mood of the owner can be obtained by detecting the behavior of the owner with a microphone and a camera 52 in the vehicle. Criteria for determining the operation route can be obtained from the operation route of the owner's preference registered in advance.
  • the owner's satisfaction with the vehicle 50 can be obtained by detecting how the owner touches and handles the vehicle 50 with the microphone and the camera 52.
  • the owner's happiness can be obtained by detecting the facial expression of the owner with the camera 52.
  • the weather condition in the area around the vehicle 50 can be acquired by the camera 52 and the weather sensor provided on the vehicle 50.
  • the above-mentioned mood / mood of the owner, criteria for determining the operation route, satisfaction, happiness, and weather conditions vary depending on the weather, road congestion, price index, work progress, interpersonal relationships, etc., and a normal vehicle 50 If so, the answer will vary.
  • the diagnosis unit 16 diagnoses that the vehicle 50 has not been hacked, and the blur width of the answers is larger than the predetermined blur width. If it is also small, it is determined that the vehicle 50 has been hacked.
  • the second diagnosis example is an example in which the vehicle diagnosis is performed by confirming the toughness of the software that operates the traveling system mounted on the vehicle 50.
  • the diagnosis unit 16 makes the above diagnosis by confirming the toughness of the software of the vehicle 50 via the communication unit 11. Then, the diagnostic unit 16 diagnoses that the vehicle 50 has been hacked when the toughness level of the software is lower than a predetermined level.
  • confirming the vulnerability of the software is substantially the same as confirming the toughness of the software.
  • FIG. 4 is a diagram showing a means for confirming the toughness of software performed from the lighting device 10 to the vehicle 50.
  • the diagnostic unit 16 confirms the robustness of the software by performing a simulated attack of at least one of a DoS (Denial of Service) attack and a buffer overflow attack on the vehicle 50 via the communication unit 11.
  • a DoS attack is to send a large amount of data to a vehicle 50 or make a large amount of requests by a packet.
  • a buffer overflow attack is to send more data than the allowable amount to the microprocessor of the vehicle 50 and delay the processing of the microprocessor.
  • the diagnostic unit 16 makes these simulated attacks on the vehicle 50, and determines that the vehicle 50 has not been hacked when the toughness level of the vehicle 50 does not become lower than a predetermined level.
  • the software resilience level is a level indicating resistance to simulated attacks and transmission of trap data described later.
  • the predetermined toughness level is set to, for example, level 5 or level 4.
  • the diagnostic unit 16 continues the DoS attack until the software of the vehicle 50 stops functioning, and is mounted on the vehicle 50.
  • the driving system may be brought down.
  • the diagnostic unit 16 confirms the toughness of the software by transmitting trap data to the vehicle 50 via the communication unit 11.
  • Sending trap data is a workaround for hacker-created backdoors.
  • the trap data contains, for example, a trap to confirm whether or not a hacker has accessed important items such as login ID or vehicle inspection information through a backdoor, or the hacker backdoors at the time of software version upgrade. There is a trap to check if it has invaded through. Therefore, the diagnostic unit 16 transmits trap data to the vehicle 50, determines that the vehicle 50 has not been hacked when unauthorized access or intrusion does not occur, and the above-mentioned unauthorized access or intrusion occurs. If so, it is determined that the vehicle 50 has been hacked. For example, when the diagnostic unit 16 finds that a backdoor is formed in the software by transmitting trap data, the toughness level of the software is lower than a predetermined level, and the vehicle 50 is hacked. You may diagnose that you have.
  • the third diagnosis example is an example in which the operation log of the vehicle 50 is acquired and the vehicle diagnosis is performed based on the operation log.
  • the diagnosis unit 16 acquires the operation log of the vehicle 50 via the communication unit 11, and when it is confirmed that the vehicle 50 does not comply with the predetermined operation rules, it diagnoses that the vehicle 50 has been hacked.
  • FIG. 5 is a diagram showing an example of a vehicle operation log acquired by the diagnosis unit 16 of the lighting device 10.
  • the operation log includes, for example, the date and time, the place (latitude and longitude), the speed of the vehicle 50, the steering wheel angle of the vehicle 50, and the like.
  • the operation rule is, for example, an agreement regarding a sudden stop, a sudden start, a steering wheel turning angle, a maximum speed of the vehicle, and the like of the vehicle 50.
  • the diagnosis unit 16 determines whether or not the vehicle 50 is being operated according to these operation rules.
  • the diagnosis unit 16 determines that the vehicle 50 has been hacked when the vehicle 50 does not comply with the predetermined operation rules, and determines that the vehicle 50 has not been hacked when the vehicle 50 complies with the operation rules. ..
  • the diagnosis unit 16 acquires the operation log of the vehicle 50 and performs vehicle diagnosis based on the operation log, so that it is possible to diagnose whether or not the vehicle 50 has been hacked.
  • the control unit 15 When the diagnosis unit 16 diagnoses that the vehicle 50 is hacked, the control unit 15 notifies that the vehicle 50 is hacked by using the illumination light of the irradiation unit 12. For example, when the irradiation unit 12 is a liquid crystal projector, the control unit 15 irradiates the vehicle 50 or the parking lot 91 with a still image or a moving image emitted from the irradiation unit 12 to notify information about hacking.
  • FIG. 6 is a diagram showing an example of notification information notified by the lighting device 10.
  • FIG. 6A shows an example in which the notification information "hacked” is projected on the hood of the vehicle 50
  • FIG. 6B shows an example of "being hacked” on the ground of the parking lot 91.
  • An example is shown in which notification information consisting of the characters "WARNING" is projected.
  • the notification information projected from the irradiation unit 12 is not limited to characters, but may be a mark including a figure, a symbol, or the like.
  • the owner who uses the vehicle 50 can visually know whether or not the vehicle 50 has been hacked. As a result, the owner can take measures against the hacked vehicle 50 and suppress the damage caused by the hacking of the vehicle 50.
  • the lighting device 10 may notify the diagnosis result to the computer 30 communicatively connected to the lighting device 10 via the network 20 (see FIG. 2).
  • the lighting device 10 may transmit the diagnosis result to the management server which is the computer 30 owned by the dealer of the vehicle 50.
  • the lighting device 10 may notify the diagnosis result by transmitting an e-mail to an e-mail address registered in advance by the owner or the dealer.
  • the owner or the dealer can take measures against the hacked vehicle 50 and suppress the damage caused by the hacking of the vehicle 50.
  • FIG. 7 is a flowchart showing an operation example 1 of the mobile body diagnosis system 100.
  • the vehicle 50 is parked in the parking lot 91, and the diagnostic unit 16 of the lighting device 10 detects the vehicle 50 using the camera 18 (step S10).
  • the diagnosis unit 16 irradiates the irradiation unit 12 with light in order to notify the owner of the vehicle 50 of the start of the diagnosis (step S11).
  • the irradiation unit 12 notifies the owner of the vehicle 50 of the start of the diagnosis by blinking, for example, but may notify the owner of the vehicle 50 in other light emitting modes.
  • the diagnostic unit 16 performs preliminary communication with the vehicle 50 via the communication unit 11 (step S12).
  • Preliminary communication is communication performed immediately before the diagnosis of hacking.
  • the preliminary communication is performed by visible light communication via the visible light communication unit 11a.
  • information used in hacking diagnosis for example, identification information for performing radio wave communication
  • what kind of information is exchanged in the backup communication is not particularly limited.
  • the diagnosis unit 16 allows communication between the communication unit 11 and a device 69 other than the vehicle 50 (in other words, a device that is not the target of diagnosis) during the preliminary communication. That is, during the preliminary communication, the lighting device 10 accepts the communication request from the device 69 other than the vehicle 50. Further, the lighting device 10 may make a communication request to the device 69 other than the vehicle 50 during the preliminary communication.
  • the backup communication may be performed by radio wave communication.
  • the light emitted by the irradiation unit 12 during the preliminary communication (visible light communication) performed in step S12 usually feels constant brightness to the owner of the vehicle 50.
  • the preliminary communication may also serve as a notification of the start of diagnosis by dare to modulate (for example, blink) the light emitted by the irradiation unit 12 during the preliminary communication so that the owner can recognize it. That is, the notification process in step S11 may be omitted, and the notification process may be included in step S12.
  • the diagnosis unit 16 diagnoses whether or not the vehicle 50 has been hacked via the communication unit 11 (hereinafter, also referred to as a hacking diagnosis) (step S13).
  • the hacking diagnosis is performed by, for example, radio wave communication via the radio wave communication unit 11b.
  • the diagnosis unit 16 cuts off the communication with the device 69 other than the vehicle 50 performed by the communication unit 11 while performing the hacking diagnosis. For example, during the hacking diagnosis, the diagnosis unit 16 does not perform any communication with any device other than the vehicle 50 (which may be a plurality of vehicles) to be diagnosed. Specifically, the lighting device 10 rejects a communication request from a device 69 other than the vehicle 50 during the hacking diagnosis. Further, the lighting device 10 disconnects all communication with the device 69 other than the vehicle 50 before the start of the hacking diagnosis, and does not make a communication request to the device 69 other than the vehicle 50 during the hacking diagnosis.
  • the safety of the hacking diagnosis can be improved by blocking the communication with the device 69 other than the vehicle 50 during the hacking diagnosis. For example, interception of the diagnosis contents and rewriting of the answer from the vehicle 50 to the lighting device 10 are suppressed.
  • the term "during hacking diagnosis” here means, for example, the period from when some information for hacking diagnosis is sent from the lighting device 10 to the vehicle 50 until the process of confirming the result of sending this information is completed.
  • the process of confirming the result means, for example, a process of confirming a response to the information being sent, but may also mean a process of confirming that there is no response for a predetermined period after the information is sent.
  • the diagnosis unit 16 finishes the hacking diagnosis and performs inter-device communication with the device 69 other than the vehicle 50 via the communication unit 11 (step S14).
  • the device-to-device communication is performed by, for example, radio wave communication via the radio wave communication unit 11b.
  • the communication unit 11 can also communicate with the vehicle 50 during inter-device communication.
  • steps S12 to S14 described above may be performed at least once, but in operation example 1, they are repeated twice or more in this order.
  • the diagnosis unit 16 repeats the processes of steps S12 to S14 (No in step S15) until it is determined that the diagnosis is completed (Yes in step S15).
  • step S13 when asking a plurality of questions to the vehicle 50 in the hacking diagnosis, in step S13, a part of the plurality of questions and their answers are acquired, and steps S12 to S12 until all the questions and their answers are acquired.
  • step S14 is repeated.
  • steps S12 to S14 when the operation log of the vehicle 50 is acquired in the hacking diagnosis, in step S13, steps S12 to S14 until all the operation logs necessary for determining whether or not the vehicle has been hacked (step S16 described later) are acquired.
  • the time required for one set of the processes of steps S12 to S14 to be performed is, for example, about 30 seconds to 1 minute, but is not particularly limited.
  • step S13 the hacking diagnosis
  • step S16 the final judgment
  • step S16 the final judgment
  • step S16 the final judgment
  • step S14 it becomes possible to perform inter-device communication until the device is hacked. That is, it is possible to secure opportunities for inter-device communication while improving the safety of hacking diagnosis.
  • the behavior of the owner of the vehicle 50 is estimated by performing inter-device communication with the indoor lighting device in the building 60, and if the vehicle 50 is likely to be used, a hacking diagnosis is performed. It is possible to interrupt (stop repeating the processes of steps S12 to S14).
  • diagnosis unit 16 determines whether or not the diagnosis has been completed (Yes in step S15), it determines whether or not the vehicle 50 has been hacked (step S16). If it is determined that the vehicle 50 has not been hacked here, the control unit 15 records the diagnosis result that the vehicle 50 has not been hacked in the memory 15a (step S17).
  • the control unit 15 notifies the abnormality (step S18).
  • the control unit 15 notifies the abnormality by, for example, irradiating the vehicle 50 or the parking lot 91 with the illumination light of the irradiation unit 12.
  • the control unit 15 records the diagnosis result that the vehicle 50 has been hacked in the memory 15a (step S19). As a result, the diagnosis of the presence or absence of hacking of the vehicle 50 by the lighting device 10 is completed.
  • FIGS. 8 to 11 Three specific examples of hacking diagnosis will be further described with reference to FIGS. 8 to 11. As described above, the hacking diagnosis may be performed in a plurality of times, but in the following, it is assumed that the hacking diagnosis is performed in a single time, and a brief explanation will be given.
  • FIG. 8 is a flowchart showing an example of the operation of the diagnostic unit 16 of the lighting device 10.
  • FIG. 8 shows an example of asking a question whose answer is uniquely determined among the questions and answers given to the vehicle 50.
  • the diagnosis unit 16 asks a plurality of questions for which the answer is uniquely determined for the vehicle 50 (step S131). These plurality of questions are asked randomly and at different timings for the vehicle 50.
  • the diagnosis unit 16 determines whether or not there is a response from the vehicle 50 within a predetermined time (step S132). If the vehicle 50 responds within a predetermined time (Yes in step S132), the diagnostic unit 16 determines that the vehicle 50 has not been hacked (step S133).
  • step S132 determines that the vehicle 50 has been hacked. In this way, by asking a question whose answer is uniquely determined, it is possible to diagnose whether or not the vehicle 50 has been hacked.
  • FIG. 9 is a flowchart showing another example of the operation of the diagnostic unit 16 of the lighting device 10.
  • FIG. 9 shows an example of asking a question whose answer is not uniquely determined among the questions and answers given to the vehicle 50.
  • the diagnostic unit 16 asks a plurality of questions for which the answer is not uniquely determined for the vehicle 50 (step S131A). These plurality of questions are asked randomly and at different timings for the vehicle 50.
  • the diagnosis unit 16 determines whether or not the blur width of the response from the vehicle 50 is equal to or greater than the predetermined blur width (step S132A).
  • the diagnostic unit 16 determines that the vehicle 50 has not been hacked (step S133A).
  • step S134A the diagnostic unit 16 determines that the vehicle 50 has been hacked. In this way, by asking a question whose answer is not uniquely determined, it is possible to diagnose whether or not the vehicle 50 has been hacked.
  • the diagnosis unit 16 describes the question whose answer is uniquely determined and the question whose answer is not uniquely determined. Both of these questions may be asked at random timings to diagnose the presence or absence of hacking.
  • FIG. 10 is a flowchart showing another example of the operation of the diagnostic unit 16 of the lighting device 10.
  • FIG. 10 shows an example of confirming the toughness of the software that moves the traveling system mounted on the vehicle 50.
  • the diagnostic unit 16 transmits data for confirming the toughness of the software to the vehicle 50 (step S131B).
  • the diagnostic unit 16 determines whether or not the toughness of the software is lower than a predetermined level (step S132B). Here, if the toughness of the software is not lower than a predetermined level, the diagnostic unit 16 determines that the vehicle 50 has not been hacked (step S133B).
  • the diagnostic unit 16 determines that the vehicle 50 has been hacked (step S134B). Then, the diagnostic unit 16 continues the simulated attack (step S135B) until the software stops functioning, and brings down the traveling system mounted on the vehicle 50. By confirming the toughness of the software in this way, it is possible to diagnose the presence or absence of hacking of the vehicle 50.
  • FIG. 11 is a flowchart showing another example of the operation of the diagnostic unit 16 of the lighting device 10.
  • FIG. 11 shows an example of determining whether or not the vehicle 50 has been hacked based on the operation log of the vehicle 50.
  • the diagnosis unit 16 acquires the operation log of the vehicle 50 (step S131C).
  • the diagnosis unit 16 determines whether or not the vehicle 50 complies with the predetermined operation rules (step S132C). Here, if the vehicle 50 observes the operation rules (Yes in S132C), the diagnosis unit 16 determines that the vehicle 50 has not been hacked (step S133C).
  • the diagnostic unit 16 determines that the vehicle 50 has been hacked (step S134C). In this way, it is possible to determine whether or not the vehicle 50 has been hacked based on the operation log.
  • the lighting device 10 can diagnose the presence or absence of hacking of the vehicle 50 by the operations shown in FIGS. 8 to 11. As a result, damage caused by hacking the vehicle 50 can be suppressed.
  • step S14 the lighting device 10 performs inter-device communication with the device 69 other than the vehicle 50.
  • the device 69 other than the vehicle 50 include an indoor lighting device installed in the building 60.
  • the lighting device 10 constitutes the indoor lighting device and the mesh network will be described with reference to FIGS. 12 and 13.
  • FIG. 12 is a schematic view showing the arrangement of a plurality of lighting devices.
  • the lighting device 10 having a vehicle diagnostic function among the plurality of lighting devices constituting the mesh network irradiates the vehicle 50 in the parking lot 91 with the illumination light, so that the lighting device 10 is placed on the outer wall of the building 60. is set up.
  • the entrance lighting 61, the living room lighting 62, the staircase lighting 63, the toilet lighting 64, and the bedroom lighting 65 are each installed corresponding to the entrance, living room, staircase, toilet, and bedroom of the building 60.
  • Each of these indoor lighting devices is an example of the device 69 and has a wireless communication function.
  • a lighting controller may be included in the devices constituting the mesh network.
  • FIG. 13 is a diagram showing a communication connection relationship between a plurality of lighting devices.
  • the lighting device 10 the entrance lighting 61, the living room lighting 62, the staircase lighting 63, the toilet lighting 64, and the bedroom lighting 65 form a mesh network and can communicate with each other.
  • An example of the mesh network referred to here is an ad hoc network of BLE (Bluetooth (registered trademark) Low Energy). That is, the lighting device 10 uses the radio wave communication unit 11b to perform communication via the mesh network.
  • BLE Bluetooth (registered trademark) Low Energy
  • FIG. 14 is a flowchart showing an example of the operation of the lighting device 10.
  • step S31 when the owner of the vehicle 50 returns home, the lighting device 10 and the entrance lighting 61 are turned on (step S31). Then, the owner enters the house and turns on each of the indoor lights (step S32).
  • the owner enters the bedroom and turns off the bedroom light 65 (step S33).
  • the plurality of indoor lighting devices are turned off in the order of the living room lighting 62, the staircase lighting 63, and the bedroom lighting 65 toward the bedroom.
  • the lighting device 10 can recognize that the owner is going to bed. Therefore, the diagnostic unit 16 of the lighting device 10 determines that when the lighting devices are turned off in order from a distance from the bedroom toward the vicinity of the bedroom, the owner goes to bed and the vehicle 50 is not used for a long time. That is, the diagnosis unit 16 estimates that the time zone after this determination is the time zone in which the vehicle 50 is unlikely to be used (step S34).
  • the owner turns on the bedroom light 65 (step S35).
  • the lighting device 10 is appropriately notified of the lighting state (light-off state) of the bedroom lighting 65 via the mesh network, the owner of the lighting device 10 will go to work after several tens of minutes using the vehicle 50. Can be recognized. Therefore, the diagnosis unit 16 of the lighting device 10 determines that there is a high possibility that the owner will get on the vehicle 50 and go out when the bedroom lighting 65 is turned on during the predetermined wake-up time zone. That is, the diagnosis unit 16 estimates that the time zone after this determination is the time zone in which the vehicle 50 is likely to be used (step S36).
  • FIG. 15 is a flowchart showing another example of the operation of the lighting device 10. Since steps S31 to S34 are the same as those in FIG. 14, description thereof will be omitted.
  • FIG. 15 describes a case where it becomes necessary to go out for some reason at midnight at 2:00 time.
  • the owner wakes up at midnight, he lights up an indoor lighting device such as bedroom lighting 65 (step S35A).
  • the owner goes to work, he turns on a plurality of indoor lighting devices in the order of bedroom lighting 65, living room lighting 62, and entrance lighting 61, and heads for the parking lot 91.
  • the lighting device 10 is appropriately notified of the lighting state (light-off state) of the indoor lighting device via the mesh network, the lighting device 10 can recognize that the owner uses the vehicle 50 to go out. ..
  • the diagnostic unit 16 of the lighting device 10 determines that there is a high possibility that the owner will get on the vehicle 50 and go out when the lighting devices are turned on in order from near the bedroom to far away from the bedroom. That is, the diagnosis unit 16 estimates that the time zone after this determination is the time zone in which the vehicle 50 is likely to be used (step S36A).
  • step S36A the diagnostic unit 16 stops repeating the processes of steps S12 to S14.
  • the mobile body diagnosis system 100 can diagnose the vehicle 50 without interfering with the use of the owner's vehicle 50.
  • the present invention is not limited to this, and a smartphone, a smart speaker, or an alarm clock may perform inter-device communication with the lighting device 10.
  • the device 69 other than the vehicle 50 is not limited to the indoor lighting device, and may be a device such as a smartphone, a smart speaker, or an alarm clock.
  • the lighting device 10 is used by the vehicle 50 by acquiring, for example, a schedule book recorded on a smartphone, the behavior of the owner read by a smart speaker, a wake-up time set on an alarm clock, etc. by inter-device communication. You may estimate whether or not it is likely to be done.
  • the mobile diagnostic system 100 uses both visible light communication and radio wave communication when communicating with the vehicle 50, and uses radio wave communication when communicating with the device 69.
  • the allocation of such a communication method is an example, and how the lighting device 10 communicates with each of the vehicle 50 and the device 69 is not particularly limited.
  • the lighting device 10 may perform only visible light communication with the vehicle 50 and only radio wave communication with the device 69.
  • operation example 2 of such a mobile body diagnosis system 100 will be described with reference to FIG.
  • FIG. 16 is a flowchart showing an operation example 2 of the mobile diagnostic system 100.
  • the vehicle 50 is parked in the parking lot 91, and the diagnostic unit 16 of the lighting device 10 detects the vehicle 50 using the camera 18 (step S10).
  • the diagnosis unit 16 irradiates the irradiation unit 12 with light in order to notify the owner of the vehicle 50 of the start of the diagnosis (step S11).
  • the diagnostic unit 16 performs preliminary communication with the vehicle 50 via the communication unit 11 (step S12).
  • Preliminary communication is communication performed immediately before the diagnosis of hacking.
  • the preliminary communication is performed by visible light communication via the visible light communication unit 11a.
  • the diagnosis unit 16 diagnoses whether or not the vehicle 50 has been hacked via the communication unit 11 (hereinafter, also referred to as a hacking diagnosis) (step S13A).
  • the hacking diagnosis is performed by visible light communication via the visible light communication unit 11a.
  • the diagnosis unit 16 cuts off the communication with the device 69 other than the vehicle 50 performed by the communication unit 11 while performing the hacking diagnosis. For example, during the hacking diagnosis, the diagnosis unit 16 does not perform any communication with any device other than the vehicle 50 (which may be a plurality of vehicles) to be diagnosed.
  • the safety of the hacking diagnosis can be improved by blocking the communication with the device 69 other than the vehicle 50 during the hacking diagnosis. For example, interception of the diagnosis contents and rewriting of the answer from the vehicle 50 are suppressed.
  • the diagnosis unit 16 finishes the hacking diagnosis and performs inter-device communication with the device 69 other than the vehicle 50 via the communication unit 11 (step S14).
  • the device-to-device communication is performed by, for example, radio wave communication via the radio wave communication unit 11b. Subsequent processing is the same as in operation example 1.
  • the safety of hacking diagnosis can be enhanced by using visible light communication, which is unlikely to be intercepted, for communication with the vehicle 50 (particularly hacking diagnosis). Further, by separating the communication method between the lighting device 10 and the vehicle 50 and the communication method between the lighting device 10 and the device 69, it is possible to prevent the device-to-device communication from adversely affecting the hacking diagnosis.
  • the diagnostic unit 16 may use both visible light communication and radio wave communication in the hacking diagnosis in step S13. For example, when the process of step S13 is repeated a plurality of times as in the operation example 2, the diagnostic unit 16 performs the process using visible light communication or radio waves immediately before each start of the process of the plurality of steps S13. You may randomly decide whether to use communication. As a result, the communication method of the hacking diagnosis is changed irregularly, so that the safety of the hacking diagnosis can be improved.
  • the mobile body diagnosis system 100 performs the hacking diagnosis on the vehicle 50, but the hacking diagnosis may be performed on the moving body other than the vehicle 50.
  • the mobile body diagnosis system 100 may perform a hacking diagnosis on a drone, for example.
  • FIG. 17 is a diagram showing an application example of a mobile body diagnosis system for which a drone is a diagnosis target.
  • the lighting device 10a provided in the mobile body diagnosis system 100a is installed in the takeoff / landing area 96 where the drone 80 stands by, and irradiates the drone 80 and the takeoff / landing area 96 with illumination light.
  • the lighting device 10a is installed on the ceiling of the takeoff / landing area 96, which is an example of the building 60, but is not limited to this, and may be installed on the inner wall of the takeoff / landing area 96, columns (not shown), or the like. Good.
  • the lighting device 10a has substantially the same functional configuration as the lighting device 10.
  • the block diagram showing the functional configuration of the lighting device 10a is omitted.
  • Drone 80 is an unmanned aerial vehicle with an automatic driving function.
  • the automatic driving is to drive a moving body autonomously, and includes, for example, not only driving without a driver but also driving while assisting the driver's operation.
  • the drone 80 may be an air vehicle capable of switching between a manual operation mode and an automatic operation mode.
  • the drone 80 includes a radio wave communication unit 81 (specifically, an antenna or the like) and a visible light communication unit 82 (specifically, a light emitting unit, a camera, etc.), and radio wave communication and visibility with the lighting device 10a. Optical communication is possible.
  • the method of hacking diagnosis for the drone 80 is the same as that for the vehicle 50. That is, the method of hacking diagnosis for the drone 80 is the same as that of the operation example 1 or the operation example 2. In the above embodiment, the vehicle 50 may be appropriately read as a drone 80.
  • the vehicle 50 having an automatic driving function, the communication unit 11 capable of communicating with devices other than the vehicle 50, and whether the vehicle 50 is hacked via the communication unit 11. It is provided with a diagnostic unit 16 for diagnosing whether or not. While the diagnosis unit 16 is performing the diagnosis, the diagnosis unit 16 cuts off the communication with the device 69 other than the vehicle 50 performed by the communication unit 11.
  • the vehicle 50 is an example of a moving body.
  • Such a mobile body diagnosis system 100 can improve the safety of the hacking diagnosis by blocking the communication with the device 69 other than the vehicle 50 during the hacking diagnosis.
  • the communication unit 11 includes a visible light communication unit 11a that performs visible light communication with the vehicle 50 and a radio wave communication unit 11b that performs radio wave communication with a device other than the vehicle 50.
  • the diagnosis unit 16 diagnoses whether or not the vehicle 50 has been hacked via the visible light communication unit 11a, and during the diagnosis, the radio wave communication unit 11b performs the diagnosis with the device 69 other than the vehicle 50. Block communication.
  • Such a mobile body diagnosis system 100 can improve the safety of the hacking diagnosis by performing the hacking diagnosis using visible light communication which is unlikely to be intercepted.
  • the communication unit 11 includes the vehicle 50 and the radio wave communication unit 11b that performs radio wave communication with the device 69 other than the vehicle 50.
  • the diagnosis unit 16 diagnoses whether or not the vehicle 50 has been hacked via the radio wave communication unit 11b, and during the diagnosis, communication with the device 69 other than the vehicle 50 performed by the radio wave communication unit 11b. To shut off.
  • Such a mobile body diagnosis system 100 can improve the safety of the hacking diagnosis by blocking the radio wave communication with the device 69 other than the vehicle 50 during the hacking diagnosis.
  • the diagnosis unit 16 makes a diagnosis after performing preliminary communication with the vehicle 50 via the communication unit 11 (for example, immediately after the preliminary communication).
  • Such a mobile diagnostic system 100 can perform a hacking diagnosis after performing preliminary communication.
  • the diagnosis unit 16 when the diagnosis unit 16 is not performing the diagnosis, the device-to-device communication with the device 69 other than the vehicle 50 is performed via the communication unit 11, and the diagnosis and the device-to-device communication are alternately repeated.
  • Such a mobile body diagnosis system 100 can achieve both hacking diagnosis and communication with a device 69 other than the vehicle 50.
  • the device 69 other than the vehicle 50 is an indoor lighting device provided in the building 60 where the user of the vehicle 50 is located.
  • the diagnosis unit 16 estimates that the user is likely to use the vehicle 50 based on the device-to-device communication between the communication unit 11 and the indoor lighting device, the diagnosis unit 16 stops the repetition of the diagnosis and the device-to-device communication. To do.
  • the user here is, for example, the owner of the above embodiment.
  • Such a mobile body diagnosis system 100 can give priority to the use of the user's vehicle 50 and stop the hacking diagnosis.
  • an irradiation unit 12 that irradiates light to notify the user of the vehicle 50 of the start of diagnosis is further provided.
  • Such a mobile body diagnosis system 100 can notify the user of the start of the hacking diagnosis.
  • the mobile body diagnosis system 100 is realized as a lighting device 10 having a communication unit 11, a diagnosis unit 16, and an irradiation unit 12.
  • Such a mobile body diagnosis system 100 can perform a hacking diagnosis using the lighting device 10.
  • the moving body diagnosis method executed by the vehicle 50 having the automatic driving function and the computer capable of communicating with the device 69 other than the vehicle 50 diagnoses whether or not the vehicle 50 is hacked and performs the diagnosis. During that time, the communication with the device 69 other than the vehicle 50 performed by the computer is cut off.
  • Such a mobile body diagnosis method can improve the safety of the hacking diagnosis by blocking the communication with the device 69 other than the vehicle 50 during the hacking diagnosis.
  • the lighting device may communicate with the vehicle using other communication methods such as infrared communication. Good.
  • the lighting device performs radio wave communication with a device other than the vehicle
  • the lighting device uses other communication methods such as optical communication (visible light communication or infrared communication). It may communicate with equipment other than the vehicle.
  • the hacking diagnosis is performed by the lighting device which is an example of the moving body diagnostic device, but the hacking diagnosis may be performed by the moving body diagnostic device other than the lighting device.
  • the hacking diagnosis may be performed by a dedicated mobile diagnostic device that does not have a lighting function.
  • the lighting device is realized as a wall light, but it may be realized as other outdoor lighting.
  • the lighting device 10 may be realized as a road light.
  • preliminary communication, diagnosis, and inter-device communication are repeated in this order, but at least one of preliminary communication and inter-device communication may be omitted.
  • the hacking diagnosis is performed when the vehicle is stopped, but it may be performed when the vehicle is moving.
  • the mobile diagnostic system is realized by a plurality of devices, but it may be realized as a single device.
  • the mobile diagnostic system may be realized as a single device (that is, a mobile diagnostic device) corresponding to a lighting device.
  • each component of the mobile diagnostic system may be distributed to the plurality of devices in any way.
  • each component may be configured by dedicated hardware or may be realized by executing a software program suitable for each component.
  • Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.
  • each component may be a circuit (or an integrated circuit). These circuits may form one circuit as a whole, or may be separate circuits from each other. Further, each of these circuits may be a general-purpose circuit or a dedicated circuit.
  • the present invention may be realized by a recording medium such as a system, an apparatus, a method, an integrated circuit, a computer program, or a computer-readable CD-ROM. Further, it may be realized by any combination of a system, a device, a method, an integrated circuit, a computer program and a recording medium.
  • the present invention may be realized as a lighting device (or a system corresponding to the lighting device) of the above embodiment.
  • the present invention may be realized as a mobile diagnostic method executed by a computer such as the mobile diagnostic system of the above embodiment.
  • the present invention may be realized as a program for causing a computer to execute such a mobile diagnostic method, or may be realized as a computer-readable non-temporary recording medium in which such a program is stored. May be good.
  • the order of a plurality of processes in the flowchart described in the above embodiment is an example.
  • the order of the plurality of processes may be changed, and the plurality of processes may be executed in parallel.
  • another processing unit may execute the processing executed by the specific processing unit.
  • Diagnosis unit 50 Vehicle (mobile body) 60 Buildings 61 Entrance lighting (indoor lighting) 62 Living room lighting (indoor lighting device) 63 Stair lighting (indoor lighting device) 64 Toilet lighting (indoor lighting device) 65 Bedroom lighting (indoor lighting) 69 Equipment 80 Drone (mobile) 100, 100a Mobile diagnostic system

Abstract

La présente invention porte sur un système de diagnostic de corps mobile (100) qui comprend : une unité de communication (11) pouvant communiquer avec un véhicule (50) ayant une fonction de conduite autonome et un appareil autre que le véhicule (50) ; et une unité de diagnostic (16) qui diagnostique si le véhicule (50) est en train d'être piraté par l'intermédiaire de l'unité de communication (11). L'unité de diagnostic (16) bloque la communication effectuée par l'intermédiaire de l'unité de communication (11) avec un appareil (69) autre que le véhicule (50) pendant le diagnostic.
PCT/JP2020/042868 2020-01-09 2020-11-17 Système de diagnostic de corps mobile WO2021140750A1 (fr)

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JP2020002322A JP2021111103A (ja) 2020-01-09 2020-01-09 移動体診断システム

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