JP2022078158A - Safe driving management system, insufficient sleep determination device, sleep data measurement device, user identification information input device, control method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a measurement device capable of determining insufficient sleep before a user drives a vehicle.

SOLUTION: A safe driving management system has: a sleep data measurement device; an insufficient sleep determination device; and a user identification information input device, in which the insufficient sleep determination device is provided with an insufficient sleep determination part which compares sleep data when sleep of a driver is sufficient with acquired data within fixed time including the same data as the sleep data measured within fixed time in the past from time when the driver rides for starting driving of a vehicle, and determines that the sleep of the driver is insufficient when difference between the sleep data and the acquired data within the fixed time is predetermined difference or more.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to a safe driving management system, a sleep deprivation determination device, a sleep data measurement device, a user identification information input device, a control method and a program.

When a driver drives a vehicle such as a car without getting enough sleep, he / she may cause a big accident due to lack of concentration or drowsy driving.
In Patent Document 1, as a related technique, a switch that can be operated by the operator's own will is repeatedly clicked at intervals of several seconds to confirm the wakefulness of the operator, and when the click is interrupted, the operator enters a doze state. The technique related to the doze alarm device that determines that the alarm is issued and issues an alarm is described.

Japanese Unexamined Patent Publication No. 2006-31058

By the way, with the technique described in Patent Document 1, the vehicle can be driven even when sleep is insufficient. In addition, an operation different from the operation for detecting doze during operation is required.
Therefore, there has been a demand for a technique capable of determining sleep deprivation before a user drives a vehicle.

Therefore, an object of the present invention is to provide a safe driving management system, a sleep deprivation determination device, a sleep data measurement device, a user identification information input device, a control method, and a program that can solve the above problems.

In order to achieve the above object, the first aspect is a safe driving management system including a sleep data measuring device, a sleep deficiency determination device, and a user identification information input device, and the sleep deficiency determination device is an operation. Sleep data when the person's sleep is sufficient, and data acquired within a certain period of time including the same data as the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. A safe driving management system including a sleep deficiency determination unit, which determines that the driver is sleep deficient when the difference between the sleep data and the acquired data within a certain period of time is equal to or greater than a predetermined difference. Is.

Further, in the second aspect, in the above-mentioned safe driving management system, the sleep data measuring device identifies the driver based on the measurement information of the body when acquiring the sleep data of the driver. The user identification information input device includes a user identification information acquisition unit, and the user identification information input device identifies the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle. It is equipped with a user identification information acquisition unit.

Further, in the third aspect, in the above-mentioned safe driving management system, when the sleep deprivation determination unit determines that the driver is sleep deprived, the user identification information input device determines that the driver is sleep deprived. A control unit that controls the vehicle so that the vehicle cannot be driven is provided.

Further, in the fourth aspect, in the above-mentioned safe driving management system, the user identification information input device includes the sleep deprivation determination unit.

Further, the fifth aspect is the same as the sleep data when the driver's sleep is sufficient and the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. A sleep deprivation determination that determines that the driver is sleep deprived when the difference between the sleep data and the data acquired within a certain period of time is greater than or equal to a predetermined difference by comparing the data acquired within a certain period of time including the data. It is equipped with a part.

A sixth aspect is a sleep data measuring device including a sleep user identification information acquisition unit that identifies the driver based on body measurement information when acquiring the driver's sleep data.

Further, the seventh aspect is the user identification including a driving user identification information acquisition unit that identifies the driver based on the body measurement information of the same type as the body measurement information when the driver drives the vehicle. It is an information input device.

Eighth aspect is a control method of a safe driving management system having a sleep data measuring device, a sleep deficiency determination device, and a user identification information input device, and the sleep deficiency determination unit in the sleep deficiency determination device. Is within a certain period of time including sleep data when the driver's sleep is sufficient and the same data as the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. This is a control method for comparing acquired data and determining that the driver lacks sleep when the difference between the sleep data and the acquired data within a certain period of time is equal to or greater than a predetermined difference.

Further, in the ninth aspect, the sleep deprivation determination unit measures the sleep data when the driver sleeps sufficiently and within a certain time in the past from the time of boarding for the driver to start driving the vehicle. The driver is sleep deprived when the difference between the sleep data and the acquired data within a certain period of time is compared with the sleep data and the acquired data within a certain period of time, and the difference between the sleep data and the acquired data within a certain period of time is equal to or more than a predetermined difference. It is a control method to determine.

Further, the tenth aspect is a control method in which the sleep user identification information acquisition unit identifies the driver based on the measurement information of the body when acquiring the sleep data of the driver.

In addition, the eleventh aspect is a control method in which the user identification information acquisition unit during driving identifies the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle. Is.

Further, in the twelfth aspect, the sleep data when the driver sleeps sufficiently and the sleep data measured within a certain time in the past from the time when the driver boarded the computer to start driving the vehicle are described. When the difference between the sleep data and the data acquired within a certain period of time is greater than or equal to a predetermined difference, the driver determines that the sleep is insufficient. It is a program that functions as a means for determining sleep deficiency.

Further, the thirteenth aspect is a program that causes a computer to function as a sleep user identification information acquisition means for identifying the driver based on body measurement information when acquiring the driver's sleep data.

Further, the fourteenth aspect is as a driving user identification information input means for identifying the driver based on the body measurement information of the same type as the body measurement information when the driver drives the vehicle. It is a program that makes it work.

According to the present invention, sleep deprivation can be determined before the user drives the vehicle.

It is a figure which shows an example of the structure of the safe driving management system by this embodiment. It is a figure which shows an example of the structure of the sleep data measuring apparatus by this embodiment. It is a figure which shows an example of the structure of the vehicle by this embodiment. It is a figure which shows an example of the configuration of the server by this embodiment. It is a figure which shows an example of the data stored in the storage part provided in the server by this embodiment. It is a figure which shows an example of the difference in the blood pressure of a woman and a man by this embodiment. It is a figure which shows an example of the difference in blood pressure between an elderly person and a young person by this embodiment. It is a figure which shows an example of the processing flow of the safe operation management system by this embodiment. It is a figure which shows an example of the processing flow of the safe operation management system by this embodiment.

First, a configuration of a safe driving management system according to an embodiment of the present invention will be described.
FIG. 1 is a diagram showing an example of the configuration of the safe driving management system 1 according to the present embodiment.
The safe driving management system 1 includes a sleep data measuring device 2, a vehicle 3, a server 4, and a network NW.

The sleep data measuring device 2 included in the safe driving management system 1 measures data such as pulse, respiration, and body movement during sleep of the user (hereinafter referred to as sleep data). Further, when the sleep data measuring device 2 measures the sleep data of the user, the sleep user identification information for identifying the user is, for example, blood pressure, body temperature, body weight, body composition (body fat, visceral fat, etc.). Subcutaneous fat, muscle, bone, body water, and other internal components), anthropometric index, bioimpedance, and acetone concentration in exhaled gas are measured.

Before the user drives the vehicle 3, the vehicle 3 asks the server 4 whether or not the user can drive the vehicle 3.
The server 4 associates the initial sleep data in which the user's sleep is sufficient to drive the vehicle 3 with the sleep user identification information, and analyzes the sleep sufficient flag indicating the sleep sufficient data and the sleep state. Stored in the data table together with a judgment flag indicating that it is used as a judgment standard. The sleep data is, for example, data showing the number of breaths, the pulse, and the intensity of the pulse.
Further, each time the server 4 receives the user's sleep data and the sleep user identification information via the network NW, the sleep sufficient data stored together with the determination flag and the user's sleep data measuring device 2 measures the data. The sleep state of the user measured by the sleep data measuring device 2 is analyzed by comparing with the sleep data. For example, the server 4 has the breathing rate per unit time, the pulse rate and the pulse intensity per unit time included in the sleep sufficient data stored together with the determination flag, and the sleep data per unit time included in the user's sleep. Compare each of the breathing rate, pulse rate per unit time, and pulse intensity. Then, the server 4 includes the number of breaths per unit time, the pulse rate per unit time and the strength of the pulse included in the sleep sufficient data, and the number of breaths per unit time and the unit time included in the sleep data for each user's sleep. When it is determined that the pulse rate and the pulse intensity are the same, it is determined that the user's sleep is sufficient. Specifically, the server 4 subtracts the number of breaths per unit time included in the sleep data of the user from the number of breaths per unit time included in the sleep sufficient data. The server 4 has the same number of breaths per unit time included in the sleep sufficient data and the number of breaths per unit time included in the sleep data for each sleep of the user. When the breathing rate subtraction result is smaller than the breathing rate threshold, the number of breaths per unit time included in the sleep data is the unit included in the sleep sufficient data. It is determined that the number of breaths per hour is the same. Further, the server 4 subtracts the pulse rate per unit time included in the sleep data for each user's sleep from the pulse rate per unit time included in the sleep sufficient data. The server 4 has the same pulse rate subtraction result, which is the result of subtracting the pulse rate, the pulse rate per unit time included in the sleep sufficient data, and the pulse rate per unit time included in the sleep data for each user's sleep. When the pulse rate subtraction result is smaller than the pulse rate threshold value, the pulse rate per unit time included in the sleep data is the unit included in the sleep sufficient data. It is determined that the pulse rate is the same as the hourly pulse rate. Further, the server 4 subtracts the pulse intensity included in the sleep data for each sleep of the user from the pulse intensity included in the sleep sufficient data. The server 4 determines that the pulse intensity subtraction result, which is the result of subtracting the pulse intensity, the pulse intensity included in the sleep sufficient data and the pulse intensity included in the sleep data for each sleep of the user are the same. When the pulse intensity subtraction result is smaller than the pulse intensity threshold, the pulse intensity contained in the sleep data is the same as the pulse intensity contained in the sleep sufficient data. Is determined. Then, the server 4 includes the number of breaths per unit time, the pulse rate per unit time and the strength of the pulse included in the sleep sufficient data, and the number of breaths per unit time and the unit time included in the sleep data for each user's sleep. When it is determined that the pulse rate and the pulse intensity are all the same, it is determined that the user's sleep is sufficient. Further, the server 4 includes the number of breaths per unit time, the pulse rate per unit time and the strength of the pulse included in the sleep sufficient data, and the number of breaths per unit time and the unit time included in the sleep data for each user's sleep. If it is determined that the pulse rate and the pulse intensity are not the same, it is determined that the user's sleep is not sufficient. The server 4 may use the number of times of turning over per unit time based on body movement to determine whether or not the user has sufficient sleep. In that case, the server 4 determines that the user's sleep is sufficient when the number of turns over per unit time is small. Further, the server 4 determines that the user's sleep is not sufficient when the number of times of turning over per unit time is large.
The server 4 stores the sleep data determined that the user's sleep is sufficient in the data table together with the sleep sufficient flag.
Further, the server 4 determines whether or not the sleep immediately before driving the user's vehicle 3 is sufficient to drive the vehicle 3, using the sleep data having the determination flag as a determination criterion. The server 4 transmits a determination result of whether or not the user's sleep is sufficient to drive the vehicle 3 to the vehicle 3 via the network NW.

Next, an outline of the processing of the safe operation management system 1 according to the embodiment of the present invention will be described.
In the safe driving management system 1, the sleep data measuring device 2 measures the user's sleep data. In addition, the sleep data measuring device 2 measures sleep user identification information for identifying the user when measuring the sleep data of the user. Then, the sleep data measuring device 2 transmits the measured sleep data of the user and the sleeping user identification information to the server 4 via the network NW.

When the server 4 receives the user's sleep data and the sleep user identification information from the sleep data measuring device 2 via the network NW, the server 4 receives the user's sleep sufficient data stored in the data table together with the determination flag and the sleep sufficient flag. By comparison, it is analyzed whether or not the user sleeps sufficiently. Each time the server 4 receives the user's sleep data and the sleep user identification information from the sleep data measuring device 2 via the network NW, the server 4 analyzes whether or not the user's sleep is sufficient. Then, when the sleep state is analyzed and the sleep is sufficient, the server 4 stores the user's sleep data and the sleep user identification information together with the sleep sufficient flag.

After that, the user sits in the driver's seat of the vehicle 3 as a driver (boards the vehicle 3). Then, when the user drives the vehicle 3, the vehicle 3 measures the driving user identification information, which is the same type of user identification information as the sleeping user identification information. Then, the vehicle 3 transmits the user identification information during operation to the server 4 via the network NW.

When the server 4 receives the driving user identification information from the vehicle 3 via the network NW, the server 4 compares the received driving user identification information with the sleeping user identification information in the data table stored for each user. Then, the server 4 identifies the same sleep user identification information as the driving user identification information. For example, the server 4 sequentially compares the blood pressure included in the driving user identification information with the blood pressure contained in each sleeping user identification information stored in the storage unit 303, and is closest to the blood pressure included in the driving user identification information. Identify sleep user identification information, including blood pressure. By this identification, the server 4 has specified a data table including sleep data corresponding to the user boarding the vehicle 3.
The server 4 identifies the sleep data of the user within a certain period of time from the present to the past from the data stored in association with the specified sleep user identification information. For example, the server 4 specifies the sleep data within the past 24 hours from the present as the acquired data within a certain time from the data stored in association with the sleep user identification information.
The server 4 identifies the sleep data stored together with the sleep sufficient flag from the acquired data within a certain period of time. Then, the server 4 determines whether or not the user's sleep is sufficient to drive the vehicle 3 within a certain period of time from the present to the past. For example, the server 4 states that the user's sleep is sufficient to drive the vehicle 3 when the total sleep time of the sleep data having the sleep sufficient flag from the acquired data within a certain period of time is 8 hours or more. judge. Further, in the server 4, when the total sleep time of the sleep data having the sleep sufficient flag from the acquired data within a certain time is less than 8 hours, the user's sleep is insufficient to drive the vehicle 3. Is determined.
The server 4 transmits a determination result of whether or not the user's sleep is sufficient to drive the vehicle 3 to the vehicle 3 via the network NW.

When the vehicle 3 receives a determination result of whether or not the user is sleep deprived from the server 4 via the network NW, the vehicle 3 controls whether or not to drive the user as a driver based on the received determination result. For example, when the vehicle 3 receives a determination result indicating that the user is sleep deprived from the server 4 via the network NW, the vehicle 3 is controlled so that the engine does not start. Further, the vehicle 3 urges the user to take a nap from a notification device having a display unit, a vibration device, a speaker, and the like.

Next, the configurations of the sleep data measuring device 2, the vehicle 3, the server 4, and the network NW included in the safe driving management system 1 according to the present embodiment will be described.
First, the configuration of the sleep data measuring device 2 according to the present embodiment will be described.
FIG. 2 is a diagram showing an example of the configuration of the sleep data measuring device 2 according to the present embodiment.
The sleep data measuring device 2 includes a communication unit 101, a sleep state measuring unit 102, a sleeping user identification information acquisition unit 103, a control unit 104, a storage unit 105, and a user information input unit 106.

The communication unit 101 included in the sleep data measuring device 2 communicates with the server 4 via the network NW.
The sleep state measuring unit 102 measures sleep data such as a user's sleep pulse, respiration, and body movement.

When the sleep state measurement unit 102 measures the sleep data of the user, the sleep user identification information acquisition unit 103 acquires the measurement information of the user's body for identifying the user as the sleep user identification information. The sleep user identification information acquisition unit 103 may acquire any body measurement information of the user as long as the information can appropriately identify the user.
The sleep user identification information acquisition unit 103 acquires sleep user identification information as follows, for example. The sleeping user identification information acquisition unit 103 includes a blood pressure measuring unit 103a, a body temperature measuring unit 103b, a weight measuring unit 103c, a body composition measuring unit 103d, an anthropometric index measuring unit 103e, a bioimpedance measuring unit 103f, and acetone. A concentration measuring unit 103 g is provided.
The blood pressure measuring unit 103a measures the user's blood pressure when the sleep state measuring unit 102 measures the user's sleep data. For example, the blood pressure measuring unit 103a is an automatic blood pressure monitor that measures blood pressure by providing a microphone at a position corresponding to a user's blood vessel and reading a change in the sound of the blood vessel.
The body temperature measuring unit 103b measures the user's body temperature when the sleep state measuring unit 102 measures the user's sleep data. For example, the body temperature measuring unit 103b is an ear-type thermometer, an infrared thermometer, a thermometer using a platinum resistance thermometer, or the like.
The body weight measuring unit 103c measures the weight of the user when the sleep state measuring unit 102 measures the sleep data of the user. For example, the body weight measuring unit 103c is a weight scale, and calculates the body weight based on the load detected by the load sensor (for example, a load cell) provided on the measuring table.
The body composition measuring unit 103d calculates the body composition based on the biometric impedance of the user measured by the bioimpression measuring unit 103f, the weight of the user measured by the weight measuring unit 103c, and the user information input by the user information input unit 106. This makes the measurement. For example, the body composition measuring unit 103d measures muscle and body fat by the bioelectrical impedance method. At this time, the body composition measuring unit 103d measures the body composition with high accuracy by using multi-frequency measurement and reactance technology.
The multi-frequency measurement is a measurement for obtaining detailed information on cells of a living tissue by properly using currents of a plurality of frequencies based on the characteristic that the path through which the current flows differs depending on the frequency in the living tissue. Reactance technology refers to the intracellular fluid and extracellular fluid constituting the biological tissue as the resistance component and the cell membrane as the volumetric component, and the biological tissue as an electrically equivalent circuit, and the resistance component and the volumetric component are measured. This is a technique for obtaining information on intracellular fluid and extracellular fluid and information on cell membranes.
The anthropometric index measuring unit 103e calculates the anthropometric index of the user based on the weight and height of the user. The body mass index is a standard called BMI (Body Mass Index) for determining the degree of obesity from the balance between body weight and height. For example, the physique index measuring unit 103e uses the height input by the user from the user information input unit 106 to the sleep data measuring device 2 and the weight measured by the weight measuring unit 103c to "weight (kg) ÷ height (m). ) ÷ Height (m) ”.
The bioimpedance measuring unit 103f measures the bioimpedance of the user. For example, the bioimposition measuring unit 103f includes two energizing electrodes and two measuring electrodes, and applies a weak alternating current to the user's body through the two energizing electrodes to form the two measuring electrodes. The voltage (potential difference) is detected through the voltage, and based on these, the bioimperture of the user is obtained for measurement.
The acetone concentration measuring unit 103g measures the concentration of acetone contained in the breath gas of the user. For example, the acetone concentration measuring unit 103g detects a gas containing an acetone component in the exhaled breath by the first gas sensor, detects a gas component other than the acetone component in the exhaled breath by the second gas sensor, and these detected gas components. It is measured by determining the acetone concentration based on the difference between the two.
The sleeping user identification information acquisition unit 103 includes a blood pressure measurement unit 103a, a body temperature measurement unit 103b, a weight measurement unit 103c, a body composition measurement unit 103d, an anthropometric index measurement unit 103e, and a biological impedance measurement unit 103f. , 103 g of the acetone concentration measuring unit, and the present invention are not limited to those provided with all of the above. The sleeping user identification information acquisition unit 103 includes a blood pressure measuring unit 103a, a body temperature measuring unit 103b, a weight measuring unit 103c, a body composition measuring unit 103d, a physique index measuring unit 103e, a bioimpedance measuring unit 103f, and acetone. If at least one of 103 g of the concentration measuring unit is provided, the sleeping user identification information can be acquired, and it is preferable to provide a plurality of them.

The control unit 104 performs various controls on the sleep data measuring device 2. For example, the control unit 104 controls the communication performed by the communication unit 101.
The storage unit 105 stores various data necessary for processing in the sleep data measuring device 2. For example, the storage unit 105 stores the sleep user identification information acquired by the sleep user identification information acquisition unit 103.

The user information input unit 106 acquires information used for user identification based on an operation by the user at the time of initial initial registration when the user uses the sleep data measuring device 2. For example, the user information input unit 106 acquires information such as a name and an age that are input based on the operation by the user at the time of the initial initial registration in which the user uses the sleep data measuring device 2. Further, for example, the user information input unit 106 inputs gender information used by the user to improve the accuracy of identification of the user by blood pressure based on the operation by the user at the time of initial initial registration using the sleep data measuring device 2. get. Further, for example, the user information input unit 106 acquires height information used when calculating the anthropometric index. The user information input unit 106 is, for example, a touch panel, a keyboard, or the like.

Next, the configuration of the vehicle 3 according to the present embodiment will be described.
FIG. 3 is a diagram showing an example of the configuration of the vehicle 3 according to the present embodiment.
The vehicle 3 included in the safe driving management system 1 includes a user identification information input device 30.
The user identification information input device 30 includes a communication unit 201, an operating user identification information acquisition unit 202, a control unit 203, and a user information input unit 204.

The communication unit 201 included in the vehicle 3 communicates with the server 4 via the network NW.
When the user drives the vehicle 3, the driving user identification information acquisition unit 202 acquires the measurement information of the user's body for identifying the user as the driving user identification information. The operating user identification information acquisition unit 202 may be any device as long as it appropriately acquires the same type of user identification information as the sleeping user identification information acquisition unit 103.
The driving user identification information acquisition unit 202 acquires the driving user identification information as follows, for example. The user identification information acquisition unit 202 during operation includes a blood pressure measurement unit 202a, a body temperature measurement unit 202b, a weight measurement unit 202c, a body composition measurement unit 202d, an anthropometric index measurement unit 202e, a bioimpression measurement unit 202f, and acetone. A concentration measuring unit 202 g is provided.
The blood pressure measuring unit 202a measures the user's blood pressure when the user drives the vehicle 3. For example, the blood pressure measuring unit 202a is an automatic blood pressure monitor provided with a microphone and measuring blood pressure by reading a change in the sound of a blood vessel.
The body temperature measuring unit 202b measures the user's body temperature when the user drives the vehicle 3. For example, the body temperature measuring unit 202b is an ear-type thermometer, an infrared thermometer, a thermometer using a platinum resistance thermometer, or the like.
The weight measuring unit 202c measures the weight of the user when the user drives the vehicle 3. For example, the body weight measuring unit 202c calculates the body weight based on the load detected by the load sensor (for example, the load cell) provided on the seat surface of the seat. If the driver's feet touch the floor and part of the driver's weight is applied to the floor and the driver's entire weight is not applied to the seat surface, the load sensor obtained in advance through experiments etc. will detect it. The total weight of the user is predicted based on the correlation between the applied load and the total weight of the driver.
The body composition measuring unit 202d measures the body composition based on the biometric impedance of the user measured by the bioimpression measuring unit 202f, the weight of the user measured by the weight measuring unit 202c, and the user information input by the user information input unit 204. This makes the measurement. For example, the body composition measuring unit 202d measures muscle and body fat by the bioelectrical impedance method. At this time, the body composition measuring unit 202d measures the body composition with high accuracy by using multi-frequency measurement and reactance technology.
The anthropometric index measuring unit 202e calculates the anthropometric index of the user based on the weight and height of the user. For example, the physique index measuring unit 202e uses the height input by the user from the user information input unit 204 to the vehicle 3 and the weight measured by the weight measuring unit 202c to "weight (kg) ÷ height (m) ÷ height". (M) ”is calculated.
The bioimpedance measuring unit 202f measures the bioimpedance of the user. For example, the bioimposition measuring unit 202f is provided with two current-carrying electrodes and two measuring electrodes on the handle, and when the user grips the handle, a weak exchange occurs in the user's body through the two current-carrying electrodes. A current is applied, a voltage (potential difference) is detected via the two measurement electrodes, and the bioimperture of the user is obtained based on these to measure.
The acetone concentration measuring unit 202g measures the concentration of acetone contained in the breath gas of the user. For example, the acetone concentration measuring unit 202g detects a gas containing an acetone component in the exhaled breath by the first gas sensor, detects a gas component other than the acetone component in the exhaled breath by the second gas sensor, and these detected gas components. It is measured by determining the acetone concentration based on the difference between the two.
The user identification information acquisition unit 202 during driving includes a blood pressure measurement unit 202a, a body temperature measurement unit 202b, a weight measurement unit 202c, a body composition measurement unit 202d, a physique index measurement unit 202e, and a bioimperture measurement unit 202f. , 202 g of the acetone concentration measuring unit, and the present invention is not limited to this. The user identification information acquisition unit 202 during operation includes a blood pressure measurement unit 202a, a body temperature measurement unit 202b, a weight measurement unit 202c, a body composition measurement unit 202d, a physique index measurement unit 202e, a bioimpression measurement unit 202f, and an acetone. If at least one of the concentration measuring units 202g is provided, user identification information during operation can be acquired, and it is preferable to provide a plurality of them.

The control unit 203 performs various controls on the vehicle 3. For example, the control unit 203 controls the communication performed by the communication unit 201. Further, the control unit 203 controls whether or not the user is allowed to drive the vehicle 3 based on the determination result of whether or not the user is sleep deprived when driving, which is received from the server 4.

The user information input unit 204 acquires information used for user identification based on an operation by the user at the time of initial initial registration when the user uses the user identification information input device 30. For example, the user information input unit 204 acquires information such as a name and an age that are input based on the operation by the user at the time of the initial initial registration in which the user uses the user identification information input device 30. Further, for example, the user information input unit 204 uses gender information to improve the accuracy of user identification by blood pressure based on the operation by the user at the time of initial initial registration when the user uses the user identification information input device 30. To get. Further, for example, the user information input unit 204 acquires height information used when calculating the anthropometric index. The user information input unit 106 is, for example, a touch panel, a keyboard, or the like.

Next, the configuration of the server 4 according to the present embodiment will be described.
FIG. 4 is a diagram showing an example of the configuration of the server 4 according to the present embodiment.
The server 4 included in the safe driving management system 1 includes a communication unit 301, a sleep data analysis unit 302, a storage unit 303, a data acquisition unit 304 within a certain period of time, a sleep deprivation determination device 5, a control unit 306, and the like. To prepare for. The sleep deprivation determination device 5 includes a sleep deprivation determination unit 305.

The communication unit 301 included in the server 4 communicates with the sleep data measuring device 2 and the vehicle 3 via the network NW.

The sleep data analysis unit 302 acquires the user's sleep data from the sleep state measurement unit 102 and the sleep user identification information from the sleep user identification information acquisition unit 103 via the communication unit 301. Then, the sleep data analysis unit 302 compares the sleep sufficient data having the determination flag with the acquired sleep sufficient data, and determines whether or not the user's sleep is sufficient.
Each time the sleep data analysis unit 302 receives the user's sleep data and the sleep user identification information from the sleep data measuring device 2 via the network NW, the sleep data analysis unit 302 determines whether or not the user's sleep is sufficient, and determines whether or not the user's sleep is sufficient. The determination result is stored in the storage unit 303 in association with the sleep data of the user and the user identification information during sleep. Specifically, when the determination result is sufficient sleep, the sleep data analysis unit 302 associates the sleep sufficient flag with the sleep data and the sleep user identification information in the storage unit 303 as sleep sufficient data. Remember.

The storage unit 303 stores various information necessary for the processing of the server 4. The storage unit 303 stores, for example, the user's sleep data and sleep user identification information associated with the determination result of whether or not the user's sleep is sufficient by the sleep data analysis unit 302. When the sleep data analysis unit 302 determines that the user's sleep is sufficient, the storage unit 303 stores sleep data and sleep user identification information together with a sleep sufficient flag indicating that the user's sleep is sufficient.

The data specifying unit 304 acquired within a certain period of time has the driving user identification information measured by the vehicle 3 when the user drives the vehicle 3 and the sleeping user identification information in the data table stored in the storage unit 303, respectively. To compare. For example, the data acquisition unit 304 within a certain period of time may store the blood pressure included in the driving user identification information acquired by the blood pressure measuring unit 202a of the driving user identification information acquisition unit 202 when the user drives the vehicle 3. The blood pressure included in the sleep user identification information in the data table stored for each user stored in 303 is compared.
Then, the data acquisition unit 304 within a certain period of time identifies the same sleep user identification information as the driving user identification information. For example, the data acquisition unit 304 within a certain period of time compares the blood pressure included in the driving user identification information and the blood pressure included in each sleeping user identification information stored in the storage unit 303 in order, and the driving user identification information. Identify sleep user identification information that includes the blood pressure closest to the blood pressure contained in. Here, it is specified that the data table including the sleeping user identification information specified by the acquired data specifying unit 304 within a certain period of time is the data table corresponding to the user boarding the vehicle 3.
The data specifying unit 304 acquired within a certain period of time identifies the sleep data within a certain time in the past from the sleep data stored in the storage unit 303 in association with the specified sleep user identification information. For example, the data identification unit 304 acquired within a certain period of time identifies the sleep data within the past 24 hours from the sleep data stored in association with the specified sleep user identification information, and the specified sleep data is constant. Specify as data acquired in time.

The sleep deprivation determination unit 305 determines whether or not sleep is sufficient to drive the vehicle 3 when the user drives, from the data acquired within a certain period of time in the specified data table. For example, the server 4 states that the user's sleep is sufficient to drive the vehicle 3 when the total sleep time of the sleep data having the sleep sufficient flag from the acquired data within a certain period of time is 8 hours or more. judge. Further, in the server 4, when the total sleep time of the sleep data having the sleep sufficient flag from the acquired data within a certain time is less than 8 hours, the user's sleep is insufficient to drive the vehicle 3. Is determined.
Then, the sleep deprivation determination unit 305 transmits a determination result of whether or not the user's sleep is sufficient to drive the vehicle 3 to the vehicle 3.

The control unit 306 performs various controls on the server 4. For example, the control unit 306 controls the communication performed by the communication unit 301.

Next, the data stored in the storage unit 303 included in the server 4 according to the present embodiment will be described.
FIG. 5 is a diagram showing an example of data stored in the storage unit 303 included in the server 4 according to the present embodiment.

The storage unit 303 measures the user's blood pressure, body temperature, body weight, and body composition (body fat, visceral fat, subcutaneous fat, muscle, bone, body water, and other body components) measured while being on the mat of bedding for each sleep. , Body size index, bioimpedement, sleep user identification information such as acetone concentration in exhaled gas, and sleep data such as time, respiration, pulse, etc. are associated and stored as in the data table TBL1 shown in FIG.
The storage unit 303 associates the initial sleep data in which the user's sleep is sufficient to drive the vehicle 3 with the sleep user identification information, and analyzes the sleep sufficient flag indicating the sleep sufficient data and the sleep state. It is stored in the data table together with the judgment flag indicating that it is used as the judgment standard of. In the case of the data table TBL1 shown in FIG. 5, the data 1 is the first sleep data in which the user's sleep is sufficient to drive the vehicle 3, and the storage unit 303 associates the sleep data with the sleep user identification information. Therefore, it is stored in the data table TBL1 together with a sleep sufficient flag "1" indicating sleep sufficient data and a determination flag "1" indicating that the data is used as a determination criterion when analyzing the sleep state.
In the server 4, the sleep data analysis unit 302 receives the user's sleep data and the sleep user identification information via the network NW each time, and the sleep sufficient data stored together with the determination flag and the sleep data measuring device 2 Compares with the user's sleep data measured by the sleep data measuring device 2, the user's sleep state measured by the sleep data measuring device 2 is analyzed. For example, the sleep data analysis unit 302 may perform the number of breaths per unit time and the unit included in the sleep sufficient data of the data 1 stored together with the determination flag “1” and the sleep sufficient flag “1” in the data table TBL1 shown in FIG. The pulse rate and pulse intensity per hour are compared with the number of breaths per unit time, the pulse rate and pulse intensity per unit time included in the sleep data for each sleep of the user. Then, the sleep data analysis unit 302 includes the number of breaths per unit time included in the sleep data of the data 1, the pulse rate and the intensity of the pulse per unit time, and the number of breaths per unit time included in the sleep data of the user. , When it is determined that the pulse rate and the pulse intensity per unit time are the same, it is determined that the user's sleep is sufficient. Specifically, the sleep data for each sleep of the user is obtained from the number of breaths per unit time included in the sleep data of the data 1 stored together with the sleep data analysis unit 302, the determination flag "1" and the sleep sufficient flag "1". Subtract the number of breaths per unit time including. The sleep data analysis unit 302 includes the breathing frequency subtraction result, which is the result of subtracting the breathing frequency, the breathing frequency per unit time included in the sleep data of data 1, and the breathing frequency per unit time included in the sleep data for each user's sleep. Compare with the breathing rate threshold set to determine that is the same, and if the breathing rate subtraction result is smaller than the breathing rate threshold, the number of breaths per unit time included in the sleep data is the data. It is determined that the sleep data of 1 is the same as the number of breaths per unit time included. Further, the sleep data analysis unit 302 subtracts the pulse rate per unit time included in the sleep data of the user from the pulse rate per unit time included in the sleep data of the data 1. The sleep data analysis unit 302 includes the pulse rate subtraction result, which is the result of subtracting the pulse rate, the pulse rate per unit time included in the sleep data of the data 1, and the pulse rate per unit time included in the sleep data of the user. Compare with the pulse rate threshold set to determine that is the same, and if the pulse rate subtraction result is smaller than the pulse rate threshold, the pulse rate per unit time included in the sleep data is the data. It is determined that the sleep data of 1 is the same as the pulse rate per unit time included. Further, the sleep data analysis unit 302 subtracts the pulse strength included in the sleep data for each sleep of the user from the pulse strength included in the sleep data of the data 1. In the sleep data analysis unit 302, the pulse intensity subtraction result, which is the result of subtracting the pulse intensity, the pulse intensity included in the sleep data of the data 1 and the pulse intensity included in the sleep data for each sleep of the user are the same. When the pulse intensity subtraction result is smaller than the pulse intensity threshold, the pulse intensity included in the sleep data is included in the sleep data of the data 1 by comparing with the pulse intensity threshold set to determine the existence. Judged to be the same as the strength of the pulse. Then, the sleep data analysis unit 302 includes the number of breaths per unit time included in the sleep data of the data 1, the pulse rate and the intensity of the pulse per unit time, and the number of breaths per unit time included in the sleep data of the user. , When it is determined that the pulse rate and the pulse intensity per unit time are all the same, it is determined that the user's sleep is sufficient.
The sleep data analysis unit 302 stores the sleep data of the user who has determined that the user's sleep is sufficient and the corresponding sleep user identification information in the data table TBL1 corresponding to the user of the storage unit 303 together with the sleep sufficient flag. For example, the sleep data analysis unit 302 uses the sleep data of the user who has determined that the user's sleep is sufficient and the corresponding sleep user identification information as shown in the data 3 and 4 in the data table TBL1 shown in FIG. It is stored in the storage unit 303 together with the sleep sufficient flag "1".
In addition, the sleep data analysis unit 302 includes the number of breaths per unit time included in the sleep data of data 1, the pulse rate and the intensity of the pulse per unit time, and the number of breaths per unit time included in the sleep data of the user. If it is determined that the pulse rate and the pulse intensity per unit time are not the same, it is determined that the user's sleep is not sufficient.
The sleep data analysis unit 302 may use the latest sleep data stored in the storage unit 303 together with the sleep sufficient flag “1” as sleep data to be used as a determination criterion when analyzing the sleep state. For example, when the time in the data table TBL1 shown in FIG. 5 is in time series such as time data 1, 2, 3, ..., The sleep data analysis unit 302 analyzes the sleep data of the data 4 in the sleep state. The sleep data to be used as a determination criterion may be stored in the storage unit 303 together with the determination flag “1”.

Next, with reference to FIGS. 6 and 7, it will be described that the blood pressure (including the pulse wave at that time), which is a kind of measurement information of the user's body, can be used as the user identification information.
FIG. 6 is a diagram showing an example of the difference in blood pressure between a woman and a man.
In FIG. 6, the vertical axis represents blood pressure.
Blood pressure usually fluctuates during the day depending on the person's activity status. However, when blood pressure is measured under regular and stable conditions in one day, the daily fluctuation of blood pressure is not so large. FIG. 6 shows the systolic blood pressure and the diastolic blood pressure measured under stable conditions.
As shown in FIG. 6, there is a difference between the range of systolic blood pressure and diastolic blood pressure in women and the range of systolic blood pressure and diastolic blood pressure in men. The range of systolic and diastolic blood pressure in women tends to be relatively low relative to the range of systolic and diastolic blood pressure in men.
Therefore, if a person shows a blood pressure between the woman's systolic blood pressure and the male's systolic blood pressure, the person is likely to be male. Also, if a person shows a blood pressure between the female's diastolic blood pressure and the male's diastolic blood pressure, the person is likely to be a woman. Therefore, the blood pressure can be the user identification information.

FIG. 7 is a diagram showing an example of the difference in blood pressure between the elderly and the adolescent.
In FIG. 7, the horizontal axis represents time. The vertical axis shows blood pressure and pulse wave.
FIG. 7 shows the raw data of the pulse wave during the measurement of systolic blood pressure and diastolic blood pressure, as well as the measured values of systolic blood pressure and diastolic blood pressure.
As shown in FIG. 7, the peak value of the raw data of the pulse wave of the elderly tends to be lower than the peak value of the raw data of the pulse wave of the young.
Therefore, a threshold is set between the peak value of the raw data of the pulse wave of the elderly and the peak value of the raw data of the pulse wave of the young. Then, if the peak value of the raw pulse wave data is lower than the threshold value, the person is determined to be an elderly person, and if the peak value of the raw data of the pulse wave is higher than the threshold value, the person is determined to be an elderly person. By determining that the person is a young person, it is possible to determine whether the person is an elderly person or a young person. Therefore, the blood pressure and the pulse wave can be user identification information.

Therefore, the accuracy of user authentication can be improved by using information such as the systolic blood pressure, the diastolic blood pressure, the peak value of the raw data of the pulse wave, and the area of the raw data of the pulse wave measured by the sphygmomanometer.

Next, the processing of the safe operation management system 1 according to the present embodiment will be described.
8 and 9 are diagrams showing an example of the processing flow of the safe operation management system 1 according to the present embodiment.
In the safe driving management system 1, the sleep data measuring device 2, the vehicle 3, and the server 4 actually communicate via the network NW, but in the processing flow shown in FIGS. 8 and 9, the network NW is used. Is omitted. Further, in the communication performed by the sleep data measuring device 2, the vehicle 3, and the server 4, each control unit actually controls the communication, but in the following description, it is assumed that the control unit controls the communication. , The description of the control itself will be omitted.

First, a process in which the sleep data measuring device 2 measures the user's sleep data when the user sleeps will be described.
The user wears a device having the function of the sleep user identification information acquisition unit 103 during sleep, or rides on a mat of bedding having the function of the sleep user identification information acquisition unit 103, and the like, to obtain a sleep data measurement device. 2 prepares to measure sleep data. The user inputs information used for identifying the user to the user information input unit 106 based on the operation by the user at the time of the initial initial registration when the user uses the sleep data measuring device 2. For example, the user inputs information such as a name and an age, which are input based on the operation by the user at the time of the initial initial registration when the user uses the sleep data measuring device 2, into the user information input unit 106. Further, for example, the user can input gender information used by the user to improve the accuracy of identification of the user by blood pressure based on the operation by the user at the time of initial initial registration using the sleep data measuring device 2. Enter in 106. Further, for example, the user inputs to the user information input unit 106 the height information used when the user calculates the anthropometric index based on the operation by the user at the time of the initial initial registration using the sleep data measuring device 2.
When the initial initial registration in which the user uses the sleep data measuring device 2 is completed, the sleep user identification information acquisition unit 103 included in the sleep data measuring device 2 is used when the sleep state measuring unit 102 measures the user's sleep data. , Acquire the sleeping user identification information (step S1). For example, immediately before the sleep state measuring unit 102 measures the user's sleep data, the blood pressure measuring unit 103a measures the user's blood pressure, which is one of the physical characteristics of the user, as sleep user identification information. Further, for example, the body temperature measuring unit 103b measures the user's body temperature when the sleep state measuring unit 102 measures the user's sleep data. Further, for example, the weight measuring unit 103c measures the weight of the user as sleep user identification information, which is one of the physical characteristics of the user. Further, for example, the body composition measuring unit 103d sleeps based on the biometric impedance of the user measured by the bioimpression measuring unit 103f, the weight of the user measured by the weight measuring unit 103c, and the user information input by the user information input unit 106. When the body composition, which is one of the physical characteristics of the user, is measured as the user identification information. Further, for example, the anthropometric index measuring unit 103e calculates the anthropometric index of the user, which is one of the physical characteristics of the user, as the user identification information during sleep, based on the weight and height of the user. Further, for example, the acetone concentration measuring unit 103g measures the concentration of acetone contained in the exhaled gas of the user, which is one of the physical characteristics of the user, as the user identification information during sleep.
The sleep user identification information acquisition unit 103 stores the acquired sleep user identification information in the storage unit 105.
When the sleep user identification information acquisition unit 103 acquires the sleep user identification information, it outputs a sleep user identification information acquisition completion signal indicating the completion of acquisition of the sleep user identification information to the sleep state measurement unit 102.
The sleep user identification information acquisition unit 103 may use the user's fingerprint or voiceprint, which is one of the physical characteristics, as the sleep user identification information.

When the sleep user identification information acquisition completion signal is input from the sleep user identification information acquisition unit 103, the sleep state measurement unit 102 measures sleep data which is data such as the user's sleep pulse, respiration, and body movement. (Step S2).
The sleep state measurement unit 102 reads out the sleep user identification information stored in the storage unit 105 by the sleep user identification information acquisition unit 103 from the storage unit 105. Then, the sleep state measuring unit 102 transmits the measured sleep data of the user and the read sleep user identification information to the server 4 via the communication unit 101 (step S3). When the user has registered the user information, the sleep state measurement unit 102 transmits the user information to the server 4 together with the sleep data and the sleep user identification information. Then, the server 4 creates the data table TBL1 as shown in FIG. 5 for the user indicated by the user information.

It is also possible that the user when the sleep user identification information acquisition unit 103 acquires the sleep user identification information and the user when the sleep state measurement unit 102 measures the sleep data are different. Therefore, it is desirable that the sleep user identification information acquisition unit 103 acquires the sleep user identification information in parallel while the sleep state measurement unit 102 is measuring the sleep data. For example, the sleeping user identification information acquisition unit 103 acquires the sleeping user identification information while the user is on the mat of the bedding having the function of the weight scale. Then, while the sleep user identification information acquisition unit 103 detects that the weight of the user on the mat does not change, the sleep state measurement unit 102 acquires sleep data in that state. When the sleeping user identification information acquisition unit 103 detects a change in the weight of the user on the mat, it is determined that the user is different. Then, the sleep state measuring unit 102 stops the acquisition of sleep data. By doing so, the sleep data of the same user can be measured.

Next, a process in which the server 4 stores the sleep data in association with the sleep user identification information for each user will be described.
In the server 4, the sleep state measuring unit 102 associates the initial sleep data in which the user's sleep is sufficient to drive the vehicle 3 with the sleep user identification information, and indicates the sleep sufficient data “1”. And, together with the determination flag "1" indicating that it is used as a determination criterion when analyzing the sleep state, it is stored in the data table TBL1 for each user (step S4).
Each time the sleep data analysis unit 302 included in the server 4 receives the user's sleep data and the sleep user identification information from the sleep data measurement device 2 via the network NW, the received sleep user identification information and each user's sleep data analysis unit 302. Compare with the sleeping user identification information in the data table TBL1. Then, the sleep data analysis unit 302 identifies the data table TBL1 having the same sleep user identification information as the received sleep user identification information (step S5). For example, when the received sleep user identification information is blood pressure, the sleep data analysis unit 302 compares the received blood pressure with the blood pressure of the data having the determination flag “1” in the data table TBL1 corresponding to each user. .. Then, the sleep data analysis unit 302 receives the sleep user when the difference between the received blood pressure and the blood pressure of the data having the determination flag "1" in the data table TBL1 corresponding to each user falls within the set difference. It is specified to be the user's data table TBL1 corresponding to the identification information.
Then, the sleep data analysis unit 302 compares the sleep sufficient data stored together with the determination flag in the specified data table TBL1 with the user's sleep data received from the sleep data measurement device 2, and compares the sleep data measurement device 2 with the user's sleep data. Determines whether or not the user's sleep measured by is sufficient (step S6). For example, the sleep data analysis unit 302 may perform the number of breaths per unit time and the unit included in the sleep sufficient data of the data 1 stored together with the determination flag “1” and the sleep sufficient flag “1” in the data table TBL1 shown in FIG. The pulse rate and pulse intensity per hour are compared with the number of breaths per unit time, the pulse rate and pulse intensity per unit time included in the sleep data for each sleep of the user. Then, the sleep data analysis unit 302 includes the number of breaths per unit time included in the sleep data of the data 1, the pulse rate and the intensity of the pulse per unit time, and the number of breaths per unit time included in the sleep data of the user. If it is determined that the pulse rate and the pulse intensity per unit time are the same, it is determined that the user's sleep is sufficient (step S6, YES). In this case, the sleep data analysis unit 302 sets the sleep sufficient flag corresponding to the sleep data to “1” (step S7), and stores the sleep data in the storage unit 303 together with the sleep user identification information (step S8).
In addition, the sleep data analysis unit 302 includes the number of breaths per unit time included in the sleep data of data 1, the pulse rate and the intensity of the pulse per unit time, and the number of breaths per unit time included in the sleep data of the user. If it is determined that the pulse rate and the pulse intensity per unit time are not the same, the process of step S6 determines that the user's sleep is not sufficient (step S6, NO). In this case, the sleep data analysis unit 302 stores the sleep user identification information in the storage unit 303 together with the sleep user identification information without performing the process of step S7 (step S8).
In this way, the storage unit 303 accumulates past sleep data for each user.

It should be noted that the concentration of acetone in the exhaled gas by the user on a diet is high. Therefore, when the sleep data analysis unit 302 compares the sleep user identification information received from the sleep data measurement device 2 with the past sleep user identification information to be greater than or equal to the difference set in the acetone concentration in the exhaled gas. , Determine if the acetone concentration is higher than a predetermined threshold. When the sleep data analysis unit 302 determines that the value is higher than the threshold value, it determines that the acetone concentration is the data that the user is on a diet, and determines the acetone concentration by changing the determination criteria. It may be a thing. For example, the threshold value of the acetone concentration in the exhaled gas is set to 5%, and when it exceeds 5%, the user authenticates himself / herself even while he / she is on a diet.

Next, a process of acquiring user identification information during driving when the user drives the vehicle 3 will be described.
The user information input unit 204 acquires information used for user identification based on an operation by the user at the time of initial initial registration when the user uses the user identification information input device 30. For example, the user information input unit 204 acquires information such as a name and an age that are input based on the operation by the user at the time of the initial initial registration in which the user uses the user identification information input device 30. Further, for example, the user information input unit 204 uses gender information to improve the accuracy of user identification by blood pressure based on the operation by the user at the time of initial initial registration when the user uses the user identification information input device 30. To get. Further, for example, the user information input unit 204 acquires height information used when calculating the anthropometric index. The user information input unit 204 is, for example, a touch panel, a keyboard, or the like.
When the initial initial registration in which the user uses the sleep data measuring device 2 is completed, the user wears each of the driving user identification information acquisition units 202 when driving the vehicle 3, or the driving user identification information. The vehicle 3 prepares to acquire the user identification information during driving by sitting on a seat provided with the acquisition unit 202.
Then, the driving user identification information acquisition unit 202 included in the vehicle 3 acquires the driving user identification information when the user drives the vehicle 3 (step S9). For example, immediately before the user drives the vehicle 3, the blood pressure measuring unit 202a measures the blood pressure of the user, which is one of the physical characteristics of the user, as the user identification information during driving. Further, the body temperature measuring unit 202b measures the user's body temperature when the user drives the vehicle 3. In addition, the weight measuring unit 202c measures the weight of the user as user identification information during driving, which is one of the physical characteristics of the user. Further, the body composition measuring unit 202d measures the body composition, which is one of the physical characteristics of the user, as the user identification information during operation, based on the bioimpedance of the user measured by the bioimpedance measuring unit 202f. Further, the anthropometric index measuring unit 202e calculates the anthropometric index of the user, which is one of the physical characteristics of the user, as the user identification information during driving, based on the weight and height of the user. Further, the acetone concentration measuring unit 202g measures the acetone concentration contained in the exhaled gas of the user, which is one of the physical characteristics of the user as the user identification information during operation.
When the driving user identification information acquisition unit 202 acquires the driving user identification information, the driving user identification information acquisition unit 202 transmits the acquired driving user identification information to the server 4 via the communication unit 301 (step S10).
The driving user identification information acquisition unit 202 may use the user's fingerprint or voiceprint, which is one of the physical characteristics, as the driving user identification information.

Next, when the user drives the vehicle 3, the process of determining whether or not the server 4 has sufficient sleep for the user to drive will be described.
The acquisition data specifying unit 304 within a certain period of time included in the server 4 receives the user identification information during driving from the vehicle 3 via the communication unit 301 by the process of step S10 (step S11). The data specifying unit 304 acquired within a certain period of time reads out the sleeping user identification information in the data table TBL1 corresponding to each user from the storage unit 303. Then, the acquired data identification unit 304 within a certain period of time compares the received driving user identification information with each of the sleeping user identification information in the read data table TBL1. Then, in the data identification unit 304 acquired within a certain period of time, the comparison result between the driving user identification information and the sleeping user identification information is blood pressure, body temperature, body weight, body composition (body fat, visceral fat, subcutaneous fat, muscle, bone). , Body water, other body components), body size index, bioimpedement, and whether or not it falls within the difference set in each of the concentration of acetone in the exhaled gas (step S12).

Further, in the data identification unit 304 acquired within a certain period of time, the comparison result between the driving user identification information and the sleeping user identification information is blood pressure, body temperature, body weight, body composition (body fat, visceral fat, subcutaneous fat, muscle, bone). , Body water, other body components), body size index, bioimpedement, and acetone concentration in exhaled gas (step S12, NO), there is no data table TBL1 for the same user. Is determined. Then, the server 4 waits for the next data to be received from the sleep data measuring device 2 and the vehicle 3 (step S13).

Further, in the data identification unit 304 acquired within a certain period of time, the comparison result between the driving user identification information and the sleeping user identification information is blood pressure, body temperature, body weight, body composition (body fat, visceral fat, subcutaneous fat, muscle, bone). , Body water, other body components), body size index, bioimpedement, and the difference set in each of the acetone concentration in the exhaled gas (step S12, YES), in the data table TBL1 used for the determination. It is determined that the users corresponding to are the same users. Then, the data specifying unit 304 within a certain time acquires the sleep data within a certain time in the past among the sleep data in the data table TBL1 of the user determined to be the same, based on the time data possessed by the sleep data. Identify as data (step S14). For example, the sleep data 3, 4, which is the sleep data within the past 24 hours from the present among the sleep data in the data table TBL1 shown in FIG. 5 is specified as acquired data within a certain period of time.
The fixed-time acquisition data specifying unit 304 outputs the fixed-time acquisition notification information indicating the specified fixed-time acquisition data to the sleep deprivation determination unit 305.

When the sleep deprivation determination unit 305 inputs the acquisition notification information within a certain period of time from the data identification unit 304 within a certain period of time, the sleep deprivation determination unit 305 reads out the data indicated by the input acquisition notification information within a certain period of time from the storage unit 303. Then, the sleep deprivation determination unit 305 calculates the total sleep time of the sleep data having the sleep sufficient flag among the read data (step S15). For example, when the sleep deprivation determination unit 305 reads the data 3, 4, and 5 from the storage unit 303 as the data indicated by the input notification information acquired within a certain period of time, the sleep time of the sleep data 3, 4 having a sufficient sleep flag. Calculate the total.

Then, the sleep deprivation determination unit 305 determines whether or not the total of the calculated sleep times is equal to or longer than the predetermined time for determining that the user has sufficient sleep and the user can drive (step S16). When the sleep deprivation determination unit 305 determines that the total calculated sleep time is equal to or longer than a predetermined time (step S16, YES), the user determines that the vehicle 3 may be driven. Then, the sleep deprivation determination unit 305 transmits the driving permission information indicating that the user has sufficient sleep and the user may drive to the vehicle 3 via the communication unit 301 (step S17).

Further, when the sleep deprivation determination unit 305 determines that the total calculated sleep time is shorter than the predetermined time (step S16, NO), the sleep deprivation determination unit 305 determines that the user's sleep deprivation is insufficient and the user should not drive. do. Then, the sleep deprivation determination unit 305 transmits the driving permission information indicating that the user's sleep is insufficient and the user should not drive to the vehicle 3 via the communication unit 301 (step S18).

Next, the processing performed by the vehicle 3 when the user's sleep is sufficient and when the user's sleep is insufficient will be described.
When the server 4 performs the process of step S17, the control unit 203 included in the vehicle 3 receives the operation permission information from the server 4 via the communication unit 201. In this case, the control unit 203 controls the user so that the vehicle 3 can be driven (step S19). For example, the control unit 203 controls so as to accept all operations in the vehicle 3.

Further, when the server 4 performs the process of step S18, the control unit 203 receives the operation disapproval information from the server 4 via the communication unit 201. In this case, the control unit 203 controls the user so that the vehicle 3 cannot be driven (step S20). For example, the control unit 203 controls so that the power source of the vehicle 3 does not operate, or controls so that all operations in the vehicle 3 are not accepted.

The processing of the safe operation management system 1 according to the embodiment of the present invention has been described above. According to the safe driving management system 1 having the above-mentioned sleep deprivation determination device 5 and the vehicle 3, the sleep deprivation determination device 5 includes a sleep deprivation determination unit 305. The sleep deficiency determination unit 305 includes sleep sufficient data including at least one of breathing or pulse when the driver sleeps sufficiently, and within a certain time in the past from the time of boarding for the driver to start driving the vehicle 3. The measured sleep sufficient data is compared with the same data acquired within a certain period of time including at least one of breathing or pulse. Then, the sleep deprivation determination unit 305 determines that the driver is sleep deprived when the difference between the sleep deprivation data and the data acquired within a certain period of time is equal to or greater than a predetermined difference.
In this way, the safe driving management system 1 can determine sleep deprivation before the user drives the vehicle 3.

Further, the data specifying unit 304 acquired within a certain period of time includes the measurement information of the driver's body measured when measuring at least one of the breath or the pulse associated with at least one of the breath or the pulse included in the sleep sufficient data. The data acquired within a certain period of time of the driver is specified based on the measurement information of the driver's body measured at the time of boarding for the start of operation of the driver's vehicle 3.
In this way, the safe driving management system 1 can authenticate the user before the user drives the vehicle 3, and can prohibit the sleep-deprived user from driving.

In addition, the data acquisition unit 304 within a certain period of time has physical characteristics such as blood pressure, body temperature, body weight, body composition (body fat, visceral fat, subcutaneous fat, muscle, bone, body water, and other body components) of the user. The body weight index, bioimpedement, concentration of acetone in exhaled gas, etc. are used.
In this way, the safe driving management system 1 improves the accuracy of user authentication by increasing the types of physical characteristics.

Further, the control unit 203 controls the vehicle 3 so that the driver cannot drive the vehicle 3 when the sleep deprivation determination unit 305 determines that the driver's sleep is insufficient.
In this way, the safe driving management system 1 can prohibit the user from driving the vehicle 3 when the user sleeps insufficiently when driving the vehicle 3.

Further, in the sleep data measuring device 2, when acquiring the driver's sleep data, the sleeping user identification information acquisition unit 103 identifies the driver based on the body measurement information, and the user identification information input provided in the vehicle 3 is provided. In the device 30, the driving user identification information acquisition unit 202 operates based on the same type of body measurement information as the body measurement information used by the sleeping user identification information acquisition unit 103 when the driver drives the vehicle 3. Identify the person.
By doing so, it is necessary to authenticate at different places where the driver sleeps and drives, and it is possible to prevent spoofing because the same person must be in different places.

Although the processing of the safe driving management system 1 according to the embodiment of the present invention has been described, the sleep deprivation determination device 5 is not limited to that provided by the server 4. The sleep deprivation determination device 5 may be provided in any device included in the safe driving management system 1 as long as appropriate processing and communication can be performed.
In addition, the safe driving management system 1 has physical characteristics such as blood pressure, body temperature, body weight, body composition (body fat, visceral fat, subcutaneous fat, muscle, bone, body water, and other body components), body size index, and physical characteristics of the user. It is not limited to the one using all of the bioimpedement and the concentration of acetone in the exhaled gas. The safe driving management system 1 may use any physical characteristics as long as appropriate determination processing is performed.
Further, the sleep user identification information acquisition unit 103 is not limited to that provided in the sleep data measuring device 2. For example, the sleep user identification information acquisition unit 103 may be a device different from the sleep data measurement device 2.
Further, the sleep user identification information acquisition unit 103 may acquire the measurement information of the user's body measured by another device via the input device. For example, the sleeping user identification information acquisition unit 103 may acquire the measurement information of the user's body by inputting the information via the keyboard.
Further, the user identification information acquisition unit 202 during operation may acquire the measurement information of the user's body measured by another device via the input device. For example, the driving user identification information acquisition unit 202 may acquire the measurement information of the user's body by inputting the information via the keyboard.

The storage unit in the present invention may be provided anywhere as long as appropriate information is transmitted and received. Further, there may be a plurality of storage units within a range in which appropriate information is transmitted and received, and the data may be distributed and stored.

In the processing flow according to the embodiment of the present invention, the order of processing may be changed as long as appropriate processing is performed.

Although the embodiment of the present invention has been described, the sleep data measuring device 2, the vehicle 3 and the server 4 included in the above-mentioned safe driving management system 1 have a computer system inside. The process of the above-mentioned processing is stored in a computer-readable recording medium in the form of a program, and the above-mentioned processing is performed by the computer reading and executing this program. Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Further, this computer program may be distributed to a computer via a communication line, and the computer receiving the distribution may execute the program.

Further, the above program may be for realizing a part of the above-mentioned functions. Further, a so-called difference file (difference program) may be used, which can realize the above-mentioned function in combination with a program already recorded in the computer system.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and do not limit the scope of the invention. In addition, various omissions, replacements, and changes can be made without departing from the gist of the invention.

1 ... Safe driving management system 2 ... Sleep data measuring device 3 ... Vehicle 4 ... Server 5 ... Sleep shortage determination device 30 ... User identification information input device 101, 201, 301 ... Communication unit 102 ... Sleep state measurement unit 103 ... Sleep user identification information acquisition unit 103a, 202a ... Blood pressure measurement unit 103b, 202b ... Body temperature measurement unit 103c, 202c ... Weight measurement unit 103d , 202d ... Body composition measuring unit 103e, 202e ... Body size index measuring unit 103f, 202f ... Bioimpedance measuring unit 103g, 202g ... Acetic concentration measuring unit 104, 203, 306 ... Control unit 105 , 303 ... Storage unit 106, 204 ... User information input unit 302 ... Sleep data analysis unit 304 ... Acquisition data identification unit within a certain period of time 305 ... Sleep shortage determination unit NW ... Network

Claims (14)

A safe driving management system having a sleep data measuring device, a sleep deprivation determination device, and a user identification information input device.
The sleep deprivation determination device is
Sleep data when the driver sleeps sufficiently, and data acquired within a certain period of time including the same data as the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. The sleep deprivation determination unit, which determines that the driver is sleep deprived when the difference between the sleep data and the data acquired within a certain period of time is equal to or greater than a predetermined difference.
A safe driving management system. The sleep data measuring device is
A sleep user identification information acquisition unit that identifies the driver based on body measurement information when acquiring the driver's sleep data.
Equipped with
The user identification information input device is
A driving user identification information acquisition unit that identifies the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle.
The safe driving management system according to claim 1. The user identification information input device is
A control unit that controls the vehicle so that the driver cannot drive the vehicle when the sleep deprivation determination unit determines that the driver is sleep deprived.
The safe driving management system according to claim 1 or 2. The user identification information input device includes the sleep deprivation determination unit.
The safe operation management system according to any one of claims 1 to 3. Sleep data when the driver sleeps sufficiently, and data acquired within a certain period of time including the same data as the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. The sleep deprivation determination unit, which determines that the driver is sleep deprived when the difference between the sleep data and the data acquired within a certain period of time is equal to or greater than a predetermined difference.
A sleep deprivation determination device. Sleeping user identification information acquisition unit that identifies the driver based on body measurement information when acquiring the driver's sleep data,
A sleep data measuring device equipped with. A driving user identification information acquisition unit that identifies the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle.
A user identification information input device comprising. It is a control method of a safe driving management system having a sleep data measuring device, a sleep deprivation determination device, and a user identification information input device.
In the sleep deprivation determination device
The sleep deficiency determination unit uses the same data as the sleep data when the driver's sleep is sufficient and the sleep data measured within a certain period of time in the past from the time when the driver boarded the vehicle to start driving. A control method for comparing the included data acquired within a certain period of time and determining that the driver lacks sleep when the difference between the sleep data and the acquired data within a certain period of time is equal to or greater than a predetermined difference. The sleep deficiency determination unit uses the same data as the sleep data when the driver's sleep is sufficient and the sleep data measured within a certain period of time in the past from the time when the driver boarded the vehicle to start driving. A control method for comparing the included data acquired within a certain period of time and determining that the driver lacks sleep when the difference between the sleep data and the acquired data within a certain period of time is equal to or greater than a predetermined difference. The sleep user identification information acquisition unit is a control method that identifies the driver based on body measurement information when acquiring the sleep data of the driver. The driving user identification information acquisition unit is a control method for identifying the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle. Computer,
Sleep data when the driver sleeps sufficiently, and data acquired within a certain period of time including the same data as the sleep data measured within a certain period of time in the past from the time of boarding for the driver to start driving the vehicle. A sleep deprivation determining means for determining that the driver is sleep deprived when the difference between the sleep data and the acquired data within a certain period of time is equal to or greater than a predetermined difference.
A program that functions as. Computer,
Sleeping user identification information acquisition means for identifying the driver based on body measurement information when acquiring the driver's sleep data,
A program that functions as. Computer,
A driving user identification information input means that identifies the driver based on the same type of body measurement information as the body measurement information when the driver drives the vehicle.
A program that functions as.

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