JP2022042721A - Dehydrated state management system and dehydrated state management method - Google Patents

Abstract

To provide a dehydrated state management system that can appropriately estimate a dehydrated state of a person to be managed in consideration of an amount of water supply and perform quantitative health management.SOLUTION: A dehydrated state management system 1 manages a dehydrated state of a person to be managed. The dehydrated state management system includes: a measuring unit 2 that measures an amount of blood flow of the person to be managed; a storage unit 3 that stores measured blood flow amount data in association with an identifier of the person to be managed; a water supply device 4 that has a communication function capable of measuring an amount of water supply of the person to be managed; an environmental state acquisition unit 5 that acquires an environmental state of a place where the person to be managed stays; and an estimation processing unit 6 that estimates the dehydrated state of the person to be managed from a communication terminal carried by the person to be managed, the blood flow amount data, the amount of water supply, and the environmental state, and controls notification to the communication terminal based on an estimation result of the dehydrated state.SELECTED DRAWING: Figure 1

Description

Patent Law Article 30 Paragraph 2 Application Applicable Announced at Bio4Apps 2019 International Conference held from December 18th to 20th, 2019

The present invention relates to a dehydration state management system and a dehydration state management method for managing the dehydration state of a person to be managed.

In recent years, the number of patients suffering from heat stroke in the summer tends to increase due to warming. In particular, workers at construction sites are likely to sweat a lot and become dehydrated due to work in a hot outdoor environment.

Therefore, as disclosed in Patent Document 1, the WBGT (Wet bulb globe temperature) value, which is an index for managing the risk of heat stroke, is measured at the work site, and the site is based on the measurement. Workers' health is managed by notifying the worker's mobile terminal of the risk of heat stroke.

Further, Patent Document 2 discloses a method for individually evaluating the risk of heat stroke by measuring biological indicators such as hemoglobin concentration in blood, cardiac output and core body temperature. On the other hand, as disclosed in Patent Documents 3 and 4, a flow rate capable of measuring a liquid flow rate such as a blood flow rate by emitting a laser beam to a measurement target site and receiving the scattered scattered light. Measuring devices are known.

Japanese Unexamined Patent Publication No. 2020-79732 Japanese Unexamined Patent Publication No. 2020-65641 International Publication No. 2017/208645 International Publication No. 2015/199159

However, biological indicators such as blood pressure and heart rate are not suitable for detecting the initial state of dehydration, and another index is required for detecting dehydration in the initial state. On the other hand, it is known that the occurrence of dehydration can be prevented by water supply.

Therefore, the present invention provides a dehydration state management system and a dehydration state management method capable of accurately estimating the dehydration state of a person to be managed and quantitatively performing health management in consideration of the amount of water supply. It is an object.

In order to achieve the above object, the dehydration state management system of the present invention is a dehydration state management system that manages the dehydration state of the controlled subject, and includes a blood flow measuring device that measures the blood flow of the controlled subject. A water supply device having a storage unit that stores blood flow data measured by the blood flow measuring device in association with the management target person's identifier and a communication function associated with the management target person's water supply amount that can be measured. From the environmental state acquisition unit that acquires the environmental state of the place where the managed person stays, the communication terminal carried by the managed person, the blood flow data, the amount of water supplied by the water supply device, and the environmental state. It is characterized by including an estimation processing unit that estimates the dehydration state of the management target person and controls notification to the communication terminal based on the estimation result of the dehydration state.

Here, it is preferable that the blood flow rate measuring device is attached to the body of the person to be managed. Further, the notification to the communication terminal is performed when it is determined that water supply by the water supply device is necessary based on the estimation result of the dehydration state, and is continued until water supply by the water supply device is performed. be able to.

Further, the invention of the dehydration state management method is a dehydration state management method for managing the dehydration state of the management target person, in which the blood flow data obtained by measuring the blood flow of the management target person is associated with the identifier of the management target person. A step of storing, a step of acquiring the environmental state of the place where the managed person stays, and a step of detecting that the managed person has supplied water by a water supply device having a communication function associated with the identifier. , The step of estimating the dehydration state of the management target person from the blood flow data, the water supply amount by the water supply device, and the environmental state, and the communication terminal carried by the management target person based on the estimation result of the dehydration state. It is characterized by having a step for notifying.

The dehydration state management system and the dehydration state management method of the present invention configured in this way store blood flow data measured by the management target person, and communicate the amount of water supplied by the water supply device carried by the management target person. It is configured so that it can be grasped by the function.

Then, the dehydration state of the management target person is estimated from the blood flow rate data, the water supply amount, and the environmental state of the place where the management target person stays, and the communication terminal carried by the management target person is notified based on the estimation result. Will be.

Therefore, the dehydration state can be accurately estimated in consideration of the amount of water supplied by the person to be managed. Furthermore, it is possible to manage the health of the person to be managed based on the quantitatively estimated dehydration state such as the dehydration rate. In particular, by using blood flow data, it becomes possible to detect even mild dehydration, grasp the possibility of dehydration from the stage where the symptoms are mild from the viewpoint of prevention of onset, and give a notification to encourage water supply. You will be able to take measures such as.

It is a block diagram explaining the structure of the dehydration state management system of this embodiment. It is explanatory drawing which conceptually showed the dehydration state management system of this embodiment. It is a flowchart explaining the flow of the measurement process of the amount of water supply by a water supply device. It is a flowchart explaining the flow of the process for constructing an estimation part. It is explanatory drawing of the method of noise reduction using the measured blood flow data. It is a flowchart explaining the process flow of the dehydration state management method of this embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram for explaining the configuration of the dehydration state management system 1 of the present embodiment. Further, FIG. 2 is an explanatory diagram conceptually showing the dehydration state management system 1.

As shown in FIG. 2, for example, the dehydration state management system 1 of the present embodiment is managed by a construction manager or a site supervisor in an office P2 or the like, with a worker working at a construction site P1 as a management target person H1. This is a system for monitoring and managing the dehydration state of the subject H1.

As shown in FIG. 1, the dehydration state management system 1 of the present embodiment includes a measurement unit 2 for measuring blood flow, a storage unit 3 for storing measured blood flow data, and a management target person H1. Mainly by the water supply device 4 capable of measuring the amount of water supply, the environmental state acquisition unit 5 for acquiring the environmental state of the place where the management target person H1 stays, and the estimation processing unit 6 for estimating the dehydration state of the management target person H1. It is composed.

On the other hand, as a specific device for realizing the dehydration state management system 1 of the present embodiment described above, as shown in FIG. 2, a wearable terminal WT for measuring the blood flow rate of the managed person H1 and the like, Cloud server CL for storing measured blood flow data, water cylinder BT with communication function that can measure water supply, smartphone SM that is a communication terminal carried by management target person H1, management used by manager H2 Person terminal MP and the like can be mentioned.

Hereinafter, details of each configuration of the dehydration state management system 1 of the present embodiment will be sequentially described. First, as shown in FIG. 1, the measuring unit 2 manages a blood flow sensor 21 as a blood flow measuring device, a temperature sensor 22 for measuring the temperature of a measurement target site for measuring blood flow, and a blood flow sensor 21. It is equipped with a pressure sensor 23 that measures the contact pressure of the subject H1 with the measurement target portion.

As shown in FIG. 2, the measurement unit 2 can be incorporated into a wearable terminal WT that can be worn on the body such as the wrist of the management target person H1. In this case, the blood flow rate of the controlled subject H1 can be measured at a fixed time interval or at an arbitrary timing.

On the other hand, the measuring unit 2 can be a stationary measuring instrument installed in an office P2 or the like. In this case, the management target person H1 can measure the blood flow amount and the like before heading to the construction site P1 at the start of work or after the break time.

The blood flow rate sensor 21 is a measuring device for measuring the blood flow rate of the human body to be the management target person H1. In a stationary measuring instrument, for example, the blood flow at a person's fingertip is measured. The blood flow sensor 21 emits light from a light source to the measurement target site, receives the light scattered at the measurement target site, and measures the flow rate of blood flowing to the measurement target site based on the information on the received light amount.

As the light source of the blood flow sensor 21, for example, a vertical cavity surface emitting laser (VCSEL) can be used. By driving the laser drive circuit, the emitted light is emitted from the light emitting unit toward the measurement target portion. The wavelength of the emitted light can be set to, for example, the wavelength of near-infrared light of 850 nm-1300 nm.

The emitted light is reflected or scattered (hereinafter collectively referred to simply as "scattering") depending on the measurement target portion to become scattered light. That is, the emitted light propagates in a substantially hemispherical shape while being repeatedly scattered by blood cells and tissues in the capillaries in the measurement target site in the biological tissue of the management target person H1. Then, the scattered light whose emitted light is scattered by the measurement target portion is received by a light receiving element formed by a photodiode for measuring blood flow, and the scattered light is photoelectrically converted to generate a light detection signal.

Here, the contact pressure between the blood flow rate sensor 21 and the measurement target portion is measured by the pressure sensor 23. Then, from the detection information of the light receiving element, the blood flow rate of the measurement target site is calculated by using the Doppler shift. For example, the blood flow measurement can be started when a contact pressure of a predetermined pressure (for example, 80 mmHg) or higher is measured.

For example, in the scattered light scattered by blood cells moving in the capillaries of the measurement target site, the frequency shift occurs due to the Doppler effect proportional to the moving speed of the blood cells. The frequency difference (shift) between the scattered light from the stationary tissue and the scattered light from the moving blood cells is distributed in the band of about several hundred Hz to several tens of kHz.

Therefore, in the power spectrum of the beat signal generated by the interference of the scattered light of both, the frequency shifted by the Doppler effect corresponds to the speed of blood cells, and the power corresponds to the amount of blood cells. Since the blood flow volume is the sum of the products of the speed of each blood cell and the number of blood cells, the blood flow volume can be calculated by multiplying the power spectrum of the beat signal by the frequency and integrating it.

For example, frequency analysis (for example, FFT (Fast Fourier Transform) calculation) of the interference component of scattered light is performed on the detected information from the light receiving element. By deriving the spectral sequence of the beat signal by this frequency analysis and multiplying each spectral sequence by the corresponding frequency and integrating it, the blood flow rate at the measurement target site can be derived. Further, the value of the blood flow derived in this way can be corrected based on the temperature in the vicinity of the measurement target portion measured by the temperature sensor 22.

At the start of measurement by the measurement unit 2, the acquisition of the unique ID (identifier) which is the identifier of the management target person H1 is performed by inputting the barcode or QR code (registered trademark) through the input interface or key input.

The unique ID of the management target person H1 is registered in the dehydration state management system 1 in advance before the measurement by the measurement unit 2. Further, a unique ID (identifier) that serves as an identifier is also attached to the water supply device 4, and the unique ID of the water supply device 4 and the unique ID of the management target person H1 who carries it are associated with each other.

The blood flow data measured by the measuring unit 2 is transmitted to the cloud server CL, which is the storage unit, in a state of being associated (linked) with the unique ID of the management target person H1. When the measurement unit 2 is, for example, a wristband type wearable terminal WT, data can be transmitted to the cloud server CL by the application mounted on the wearable terminal body and the communication function. In addition, an application for controlling the wearable terminal WT is mounted on a communication terminal such as a smartphone SM, a notebook computer, or a tablet terminal carried by the management target person H1, and data is transmitted from the smartphone SM or the like to the cloud server CL. You can also do it.

The water supply device 4 includes a container such as a bottle for accommodating water and the like, a detection unit 41 attached to the container, and a transmission processing unit 42 for transmitting data on the measured water supply amount to the cloud server CL. There is.

For example, the water bottle BT shown in FIG. 2 includes a container portion and a detection unit 41. For example, the detection unit 41 has an acceleration sensor and a pressure sensor, and detects the number of events supplied by the water bottle BT from the inclination of the water bottle BT and the change in the weight of the water bottle BT. For example, the smart bottle described in Japanese Patent Publication No. 2020-515822 can be used as a water bottle BT.

This water bottle BT has a communication function. For example, short-range wireless communication such as Wi-Fi, Bluetooth (registered trademark), and ZigBee (registered trademark) can be used. For example, when the smartphone SM carried by the management target person H1 executes the function of the transmission processing unit 42, it is sufficient that the water bottle BT and the smartphone SM can communicate with each other by short-range wireless communication.

On the other hand, when the transmission processing unit 42 is provided in the water bottle BT, it is configured to be able to communicate with the cloud server CL such as Wi-Fi, carrier line, and 920 MHz charged wave. Communication with the cloud server CL may be configured via an access point AP such as a wireless router installed at the construction site P1.

Hereinafter, the flow of the measurement process of the water supply amount of the water supply device 4 will be described with reference to the flowchart shown in FIG.
The water bottle BT carried by the management target person H1 is monitored for acceleration data detected by the detection unit 41 (step S1). That is, when the management target person H1 tilts the water bottle BT to drink water, acceleration equal to or higher than the threshold value is detected (step S2).

In this way, the water supply event is detected by the detection unit 41, and the number of detections is incremented and held as the number of water supply counters (step S3). Then, when the transmission interval time is reached in step S4, the unique ID of the water bottle BT and the number of water supply counters are transmitted to the smartphone SM in which the transmission processing unit 42 is incorporated via the wireless communication function of the water bottle BT (step S5). ).

In step S6, the call back of reception completion is set to the water bottle BT from the smartphone SM that has received the unique ID of the water bottle BT and the number of water supply counters, and the water supply counter of the detection unit 41 of the water bottle BT is reset to "0" (step). S7).

The transmission processing unit 42 provided in the smartphone SM adds a time stamp to the information of the unique ID and the number of water supply counters received from the water bottle BT, and transmits the data to the cloud server CL at the set time interval.

As described above, the blood flow data and the water supply data are stored in the cloud server CL in a state of being associated with the unique ID of the management target person H1. These stored data are used in the estimation processing unit 6. The estimation processing unit 6 can be executed by a cloud server CL, a management server connected to the cloud server CL, or the like, or can be executed by an application implemented in the administrator terminal MP operated by the administrator H2.

The environmental state acquisition unit 5 acquires the environmental state of the construction site P1 in which the management target person H1 stays. For example, an environmental measuring machine capable of measuring a WBGT (Wet bulb globe temperature) value can be installed as an environmental state acquisition unit 5 at a construction site P1.

An environmental measuring device capable of measuring a WBGT value (heat index) is equipped with a sensor that measures temperature, relative humidity, and black globe temperature. The process of obtaining the dry-bulb temperature and the wet-bulb temperature from the temperature and the relative humidity may be performed by the environmental state acquisition unit 5 or the estimation processing unit 6.

Further, the environmental state acquisition unit 5 may be configured to obtain the environmental state of the construction site P1 point from an external server such as the Ministry of the Environment connected to the dehydration state management system 1 by a network such as the Internet. Furthermore, the external environment such as sunshine hours can also be acquired as an environmental state.

The estimation processing unit 6 estimates the dehydration state of the management target person H1 from the blood flow data, the water supply amount measured by the water supply device 4, and the environmental state acquired by the environmental state acquisition unit 5. Further, based on the estimation result of the dehydration state, the notification to be sent to the smartphone SM or the like, which is the communication terminal carried by the management target person H1, is controlled.

Specifically, the estimation processing unit 6 includes a data aggregation unit 61 that captures various data necessary for estimating the dehydration state, a preprocessing unit 62 that preprocesses the acquired data as necessary, and dehydration. It is mainly composed of a state estimation unit 63 and a notification control unit 64 for notifying a warning or the like.

The data aggregation unit 61 unifies the measurement data related to the management target person H1 by associating the unique ID of the management target person H1 measured by the measurement unit 2 with the unique ID of the water supply device 4.

In detail, the data aggregation unit 61 detects the measured values of each sensor of the measuring unit 2 such as blood flow rate, temperature and pressure, and the water supply information by the water supply device 4 acquired at an arbitrary interval for each management target person H1. Get the number of times and build the database. The constructed database can also be stored in the storage unit 3 until estimation is performed.

Further, the data aggregation unit 61 acquires information on the environmental state such as the temperature, humidity, and WBGT value of the construction site P1 where the management target person H1 is working, through the environmental state acquisition unit 5. The information regarding this environmental state is also linked with the unique ID of the management target person H1 and unified.

From the database constructed by the data aggregation unit 61 in this way, the dehydration rate, which is an index of the body water content of the management target person H1, is estimated. In estimating the dehydration rate, the preprocessing unit 62 performs preprocessing of the data to be input.

The pre-processing unit 62 processes the data determined to be an abnormal value from the data acquired by the measurement unit 2 by a predetermined method, and constructs learning data for machine learning. For example, the preprocessing unit 62 generates preprocessed data in which noise is removed from the captured blood flow data.

At the start and end of blood flow measurement, noise is generated due to the contact between the human body contact site and the sensor. Since this noise affects the estimation of the dehydration rate, the noise is removed by using a binarization method using an index calculated from the measurement data or flag processing by another sensor.

In the filtering by the binarization method, for example, as shown in FIG. 5, a moving average (moving average data) of an arbitrary section is calculated for the blood flow raw data, and the portion protruding as a high value is estimated as noise and removed. The method.

The flag processing using another sensor means that, for example, only the measured value of the blood flow data when the contact pressure calculated from the detection information of the pressure sensor 23 becomes equal to or more than the threshold value and is detected for an arbitrary time is used. The method.

In addition, noise in the measurement of blood flow data can be removed by signal processing by detecting an abnormal value using, for example, Mahalanobis distance or a singular spectrum conversion method, which is a classification method without supervision.

Then, when the total data length is less than 10 seconds or the continuous data is 5 seconds or less due to the noise removal, the preprocessing unit 62 also performs a process of excluding it from the measurement data.

Using the data prepared in this way, an estimation model used for estimating the dehydration rate is constructed by machine learning. The estimation unit 63 constructs an estimation model and estimates the dehydration rate by the constructed estimation model. Once the estimation model is built, it may be updated at any time as needed.

For example, the construction of the data set when retraining the estimation model of the dehydration rate can be performed by the processing flow shown in the flowchart of FIG.
First, in step S11, the unique ID of the management target person H1 is read.

In step S12, it is confirmed whether or not the data set is already being constructed at this point, and if it is being constructed, the process proceeds to step S131 to call and duplicate the data set being constructed.

On the other hand, when a new data set is constructed, a new data set is newly created and duplicated in step S132. Then, information on the amount of water supply associated with the unique ID (water supply measuring device slave unit ID) of the water supply device 4 carried by the management target person H1 is taken into the data set duplicated in steps S131 and S132 (step S14). .. Up to this point, processing is performed by the data aggregation unit 61.

Then, the preprocessing of the captured data is performed by the preprocessing unit 62 (step S15). Subsequently, it is decided whether to construct the estimation model for each unique ID of the management target person H1 or to integrally construct the estimation model (step S16).

When the estimation model is constructed by integrating all the management target persons H1 managed by the administrator H2, all the data are integrated in step S171. On the other hand, when constructing an estimation model for each management target person H1, a data set is constructed for each unique ID of the management target person H1. In this case, the health condition such as chronic illness of each managed person H1 can be taken into consideration.

When the accuracy of the estimation result of the dehydration rate obtained by the estimation is judged to be low, the re-learning by the estimation unit 63 uses the data set obtained after the introduction of the current estimation model to obtain the estimation model. Performed to make corrections.

In the re-learning, the contribution rate of the parameters when performing machine learning is re-evaluated, and when a fluctuation is observed from the predetermined contribution rate, the contribution rate of each parameter is replaced with the corrected one. For learning and re-learning by machine learning, for example, ensemble learning using a random forest can be used.

Ensemble learning is a method for constructing a classifier that performs highly accurate classification by integrating the classification results of a plurality of weak classifiers. Known ensemble learning includes bagging, boosting, and random forest.

Random forest creates multiple teacher datasets from a given dataset by bootstrap sampling, and multiple weak classifiers, which are decision trees, are constructed from these multiple teacher datasets. Then, the final classification result will be obtained by a majority decision of the results of a plurality of decision trees.

Specifically, the estimation model of the dehydration rate by ensemble learning is constructed by the following flow.
First, 60% of the dataset size is extracted from the constructed dataset by the bootstrap method, and a total of 100 samples (teacher dataset) are created.

Furthermore, when creating a regression tree (decision tree) from each sample by machine learning, the number of features N to be used is determined by the following formula, and is randomly selected from all the features.
N = log ₂ P + 1
Here, P indicates the total number of features contained in the sample. In addition, when performing machine learning, there is no limit to the depth of the regression tree.

The estimation unit 63 outputs the average value of the values estimated by each regression tree, which is the result of machine learning and re-learning, as the calculation result of the dehydration rate estimation model. For example, the value estimated from the blood flow rate data is calculated as the dehydration rate by correcting the water supply amount and the WBGT value.

The estimation of the dehydration rate is calculated based on the blood flow rate data, but can be corrected according to the water supply amount and the environmental condition as described above. Environmental conditions used for correction include sunshine duration in addition to the WBGT value. In addition, when the dehydration rate at the end of work on the previous day is compared with the dehydration rate at the start of work, if the numerical stability is not found, the dehydration rate estimated based on the stability can be corrected.

The estimated value of the dehydration rate estimated by the estimation unit 63 is sent to the notification control unit 64. The notification control unit 64 controls the content to be displayed on the smartphone SM carried by the management target person H1 or the administrator terminal MP operated by the administrator H2 based on the estimated value of the dehydration rate obtained from the estimation unit 63.

For example, as shown in FIG. 2, the estimation result of the dehydration rate calculated by the estimation unit 63 is stored in the smartphone SM or the administrator terminal MP, which is the output unit 7 for displaying the notification sent from the notification control unit 64. , Is displayed as a graph or numerical value on the screens SM1 and MP1.

In addition, since the risk rank for heat stroke changes depending on the size of the dehydration rate value, fixed phrases arbitrarily set according to the risk rank are displayed on the screens SM1 and MP1. You can also do it.

How the notification by the notification control unit 64 is performed can be arbitrarily set. For example, how to divide the dehydration rate into risk ranks, when to give an instruction for water supply, and whether to use a warning sound can be arbitrarily set.

The notification to the management target person H1 by the notification control unit 64 may be a notification method such as vibrating the wearable terminal WT worn by the management target person H1. Further, the notification to the smartphone SM carried by the management target person H1 can be an e-mail, a push notification, or the like at arbitrary time intervals.

The administrator terminal MP can collectively monitor all the data related to the dehydration rate of the management target person H1. Further, in addition to the notification automatically notified to the management target person H1 by the notification control unit 64, the management target person receives a water supply or break promotion alert from the administrator terminal MP to any management target person H1. It can also be transmitted to the H1 smartphone SM or the like.

In the smartphone SM of the management target person H1 or the wearable terminal WT that has received the automatic notification by the notification control unit 64 or the notification from the administrator terminal MP, at least one of vibration or buzzer sound is continuously generated until the improvement of the dehydration rate is confirmed. Is issued as an alert.

Then, when the dehydration rate estimated by the measurement by the measurement unit 2 of the wearable terminal WT falls below the threshold value, or when the measurement result that the water supply device 4 has supplied water is received, the alert is automatically canceled. You can also try to do.

Next, the flow of processing of the dehydration state management method of the present embodiment will be described with reference to FIG.
First, in step S21, the blood flow rate of the managed person H1 is measured by using the measuring unit 2. In the case of a stationary measuring instrument in which the measuring unit 2 is placed in an office P2 or the like, the management target person H1 puts his fingertip on the stationary measuring instrument before heading to the construction site P1 for a certain period of time or more. Measure blood flow rate, temperature and contact pressure. On the other hand, when the measurement unit 2 is incorporated in the wearable terminal WT, the blood flow rate and the like of the management target person H1 are measured at an arbitrary time interval set (for example, once every 30 minutes).

At the construction site P1 where the management target person H1 works, the environmental condition such as the WBGT value is measured (step S22). The environmental state can be acquired by installing an environmental measuring device equipped with a communication function on the construction site P1 and actually measuring it, or by importing it from an external server such as the Ministry of the Environment based on the address of the construction site P1. can.

When the monitoring of the management target person H1 starts, the environmental state of the construction site P1 and the dehydration state of all the management target persons H1 are displayed in graphs and numerical values on the screen MP1 of the manager terminal MP of the office P2. Will be done. In addition, a record of whether or not water is supplied by the water bottle BT carried by the management target person H1 can also be displayed on the screen MP1 of the administrator terminal MP.

The confirmation of the water supply amount in step S23 can be performed by acquiring the number of times (the number of water supply counters) that the water supply event is performed by the water bottle BT as described above. In short, if the average water supply amount per water supply event is set, the water supply amount can be calculated from the number of water supply counters. Further, if the water bottle BT has a configuration in which a change in weight can be detected by a pressure sensor or the like, the water supply amount can be directly measured.

From these acquired information, the dehydration state of the current managed person H1 can be estimated (step S24). In short, the dehydration rate of the management target person H1 is calculated by the estimation unit 63 of the estimation processing unit 6 using the acquired blood flow rate data, water supply amount, and environmental state information.

The dehydration rate estimated by the estimation unit 63 can be displayed as it is on the screen MP1 of the administrator terminal MP or the screen SM1 of the smartphone SM. On the other hand, when the notification control unit 64 determines that the risk of heat stroke is increasing due to the estimated dehydration rate, an alert is notified to the smartphone SM or the wearable terminal WT (steps S25 and S26). .. The alert is also notified to the administrator terminal MP.

Upon receiving the alert, the managed person H1 takes measures such as ingesting water by the water supply device 4 or taking a break to cool the body as soon as possible in order to prevent the occurrence of heat stroke. As a result, if the blood flow is improved and recovery from the dehydrated state is recognized, the managed person H1 returns to the work and the dehydrated state is monitored again.

Next, the operation of the dehydration state management system 1 and the dehydration state management method of the present embodiment will be described.
The dehydration state management system 1 and the dehydration state management method of the present embodiment configured in this way store the blood flow data measured from the management target person H1 and the water supply device carried by the management target person H1. It is configured so that the amount of water supplied by 4 can be grasped by the communication function.

Then, the dehydration state of the management target person H1 is estimated from the blood flow data, the water supply amount, and the information on the environmental condition of the construction site P1 where the management target person H1 stays, and the management target person H1 carries it based on the estimation result. Notification is performed to the smartphone SM, the wearable terminal WT, and the like.

Therefore, the dehydrated state can be accurately estimated in consideration of the amount of water supplied by the managed person H1. Further, the health management of the managed person H1 can be performed based on the quantitatively estimated dehydration state such as the dehydration rate.

In particular, by using blood flow data, it becomes possible to detect even mild dehydration symptoms, grasp the possibility of heat stroke from the stage where the symptoms are mild from the viewpoint of prevention of onset, and give a notification to encourage water supply. You will be able to take preventive measures such as.

Further, by configuring the alert to the smartphone SM and the wearable terminal WT carried by the management target person H1 to be continued until water is supplied by the water supply device 4, the management target person H1 interrupts the work and supplies water. It becomes easier to do, and the preventive effect of heat stroke can be enhanced.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes to the extent that the gist of the present invention is not deviated are made in the present invention. Included in the invention.

For example, in the above-described embodiment, the measuring unit 2 for measuring the blood flow rate of the fingertip or the wrist has been described, but the present invention is not limited to this, and the measuring unit 2 for measuring the blood flow rate of the earlobe or the neck is not limited to this. good. Further, the wearable terminal WT may be configured to only receive an alert.

1: Dehydration state management system 21: Blood flow rate sensor (blood flow rate measuring device)
3: Storage unit 4: Water supply device 41: Detection unit 42: Transmission processing unit (communication function)
5: Environment state acquisition unit 6: Estimating processing unit 63: Estimating unit 64: Notification control unit 7: Output unit (communication terminal)
H1: Management target person P1: Construction site (place to stay)
SM: Smartphone (communication terminal)
WT: Wearable terminal (blood flow measuring device)
CL: Cloud server (storage unit)

Claims (4)

It is a dehydration state management system that manages the dehydration state of the person to be managed.
A blood flow measuring device for measuring the blood flow of the managed person, and
A storage unit that stores blood flow data measured by the blood flow measuring device in association with the identifier of the management target person, and a storage unit.
A water supply device having a communication function associated with the identifier capable of measuring the water supply amount of the managed person, and a water supply device.
The environmental state acquisition unit that acquires the environmental state of the place where the management target person stays,
The communication terminal carried by the managed person and
An estimation processing unit that estimates the dehydration state of the management target person from the blood flow data, the amount of water supplied by the water supply device, and the environmental state, and controls notification to the communication terminal based on the estimation result of the dehydration state. A dehydration state management system characterized by being equipped with. The dehydration state management system according to claim 1, wherein the blood flow rate measuring device is attached to the body of the person to be managed. The notification to the communication terminal is performed when it is determined that water supply by the water supply device is necessary based on the estimation result of the dehydration state, and is continued until water supply by the water supply device is performed. The dehydration state management system according to claim 1 or 2. It is a dehydration state management method that manages the dehydration state of the person to be managed.
A step of associating the blood flow data obtained by measuring the blood flow of the managed person with the identifier of the managed person and storing the data, and
The step of acquiring the environmental state of the place where the managed person stays, and
A step of detecting that the managed person has supplied water by a water supply device having a communication function associated with the identifier, and
A step of estimating the dehydration state of the controlled person from the blood flow data, the amount of water supplied by the water supply device, and the environmental state, and
A dehydration state management method comprising: a step of notifying a communication terminal carried by the management target person based on the estimation result of the dehydration state.

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