Health management system for pneumatic caisson

Abstract

To provide a health management system which can automatically acquire body information and can accumulate data to be effectively utilized.SOLUTION: A health management system SH of a pneumatic caisson comprises: a body information acquisition system SP comprising a plurality of body information acquisition apparatuses 21 to 25 acquiring body information of a work engaged person and a management device 20 collecting the plurality of pieces of acquired body information; a decompression management system SD comprising an in-caisson pressure gauge 31 measuring a pressure in a work room, an in-man lock pressure gauge 32 measuring a pressure in a man lock, and another management device 30 collecting high pressure work history information constituted of the measured in-caisson pressure and the measured in-man lock pressure, information specifying the work engaged person, and time information; and a server 10 receiving the plurality of pieces of body information from the management device 20 of the body information acquisition system SP and storing them, and receiving the in-caisson pressure and the in-man lock pressure from the management device 30 of the decompression management system SD and storing them.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a health management system used in construction work using the pneumatic caisson method.

Background Art

[0002] In the pneumatic caisson method, compressed air is sent into a work chamber provided at the lower part of the caisson, and excavation work is carried out in a state where groundwater is excluded by the pressure of the air. Conventionally, workers entered the work chamber under high pressure to perform excavation work, but in recent years, in consideration of the health of workers, unmanned excavation using an excavator that can be remotely operated from the ground has become common.

[0003] On the other hand, in order to perform work such as inspection, maintenance, repair, and disassembly of the excavator, it is still necessary for workers to enter the work chamber. In addition, in the case of hard rock formations, etc., unmanned excavation cannot cope, and workers may enter the work chamber to perform blasting work, etc.

[0004] Before starting work in the work chamber, the worker enters the manlock installed in the caisson from the ground, pressurizes to the same pressure as the work chamber, then opens the hatch on the work chamber side of the manlock and moves to the work chamber to perform work. After the work is completed, the worker enters the manlock from the work chamber, closes the hatch on the work chamber side, then decompresses slowly over time to atmospheric pressure and then returns to the ground.

[0005] At this time, if decompression is performed rapidly, the inert gas (nitrogen gas) in the body cannot be completely discharged outside the body and forms bubbles, causing various disorders. This is generally called decompression sickness. In order not to cause decompression sickness, it is necessary to determine and manage decompression management information such as decompression rate, stop pressure, and stop time according to the pressure in the work chamber, working hours, etc.

[0006] As a decompression management system that implements such decompression management, for example, Patent Document 1 describes a technique in which an operator carries a portable terminal to record the change in pressure over time in the portable terminal and collate the record with decompression management information. According to the configuration of this Patent Document 1, management errors can be prevented and the safety of the operator can be enhanced. In addition, based on this decompression management system, there is also a technique for automatically creating a high-pressure chamber daily report.

[0007] In addition, as a technique for acquiring vital data and determining the health status, for example, Patent Document 2 describes a technique for acquiring vital information such as heart rate, blood pressure, body temperature, or respiratory rate and predicting the health status. In addition, a technique for predicting the health status based on the past health status is also disclosed.

Prior Art Documents

Patent Documents

[0008]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0009] However, the conventional system including the decompression management system of Patent Document 1 does not automatically acquire body information, and since it has an independent system configuration for each work site, data cannot be accumulated and effectively utilized.

[0010] Furthermore, in the technique of Patent Document 2, when work occurs not only on the ground but also in a working chamber under high pressure, such as in the pneumatic caisson method, the load under high pressure cannot be considered, and it is difficult to predict the health status.

[0011] Therefore, an object of the present invention is to provide a health management system that can consider the load under high pressure and can accumulate and effectively utilize data.

Means for Solving the Problems

[0012] To achieve the above object, the health management system of the pneumatic caisson of the present invention includes a plurality of body information acquisition devices that acquire the body information of workers, and a management device that aggregates the plurality of acquired body information, a body information acquisition system, an in-chamber pressure gauge that measures the pressure in the work chamber, a manlock internal pressure gauge that measures the pressure in the manlock, and a management device that aggregates the high-pressure work history information composed of the measured in-chamber pressure, the manlock internal pressure, the information for identifying the worker, and the time information, a decompression management system, and a server that receives and stores the plurality of body information from the management device of the body information acquisition system and receives and stores the in-chamber pressure and the manlock internal pressure from the management device of the decompression management system.

Effects of the Invention

[0013] Thus, the health management system of the pneumatic caisson of the present invention includes a body information acquisition system including a body information acquisition device and a management device that aggregates body information, an in-chamber pressure gauge, a manlock internal pressure gauge, a decompression management system including a management device that aggregates the in-chamber pressure and the manlock internal pressure, and a server that receives and stores a plurality of body information from the management device of the body information acquisition system and receives and stores the in-chamber pressure and the manlock internal pressure from the management device of the decompression management system. With such a configuration, body information can be automatically acquired, and more data can be accumulated and effectively utilized by collectively managing the data. Further, by linking with the decompression management system, by associating the high-pressure work history information with the body information (health information), a database including the influence of the load under high pressure can be constructed, and by having AI learn from it, the health status under working conditions including work under high pressure can be predicted.

Brief Description of the Drawings

[0014]

Figure 1

Figure 2

Figure 3

Figure 4

Embodiments for Carrying Out the Invention

[0015] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the components described in the following examples are illustrative, and are not intended to limit the technical scope of the present invention thereto.

Examples

[0016] (Configuration of a Pneumatic Caisson) Here, the configuration of the pneumatic caisson will be described. Although not shown, at the lower part of the pneumatic caisson, a blade edge with a tapered tip is formed, and a working chamber is formed surrounded by the inner surface of this blade edge and the lower surface of the working chamber slab. At least one or more excavators are arranged in the working chamber, and the ground is excavated by a remotely operated excavator to sink the pneumatic caisson.

[0017] From the working chamber, a material shaft extends upward, and a material lock is installed at the upper part. Similarly, from the working chamber, a man shaft extends upward, and a man lock is installed at the upper part. In addition, pneumatic equipment for sending compressed air into and exhausting from the working chamber and the man lock is arranged.

[0018] Furthermore, a central monitoring room is installed on the ground near the pneumatic caisson. In the central monitoring room, the overall monitoring and management are carried out, including the loading of materials through the excavator, material shaft, and material lock, and the unloading of excavated soil and sand, the entry and exit of workers through the man shaft and man lock, the pressure management such as pressurization and depressurization in the man lock, the posture display of the caisson's settlement amount, inclination, etc.

[0019] (Configuration of the Health Management System) Next, the configuration of the health management system SH of this embodiment will be described. The health management system SH is composed of a body information acquisition system SP that acquires body information for each individual, a decompression management system SD that manages pressurization and decompression, a server 10 such as a cloud server, and a manager PC11 that is a manager terminal having a hierarchical browsing authority. Note that FIG. 2 illustrates a hierarchical structure, and each layer may be a single PC or a plurality of PCs.

[0020] That is, as will be described later, the health management system SH of this embodiment has a daily report output function in which the body information acquisition system SP and the decompression management system SD cooperate to acquire decompression table data, entry and exit times, and data on the high-pressure work history such as pressurization time, work time, and decompression time for the planning of high-pressure work, and output a daily report of high-pressure work every day. Furthermore, the health management system SH has a warning notification function that determines the body information and sends a warning to the manager if there is a problem.

[0021] (Configuration of the Body Information Acquisition System) Next, the configuration of the body information acquisition system SP will be described. The body information acquisition system SP includes a management device 20 and, as body information acquisition devices for acquiring body information, a thermometer 21 for measuring body temperature, a blood pressure monitor 22 for measuring blood pressure, an oxygen concentration measuring device 23 for measuring the oxygen concentration in the blood, an alcohol checker 24 for measuring the blood alcohol concentration, and a spirometer 25 for examining lung function. As the management device 20, for example, a portable tablet or PC can be used.

[0022] Then, the management device 20 of the body information acquisition system SP receives (and temporarily stores) measurement values such as the body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, vital capacity, and one-second rate (hereinafter referred to as "vital capacity, etc.") v of the worker from each measuring device (IoT device) via the Internet, and transmits the received measurement values to the server 10 via the Internet.

[0023] (Configuration of the pressure reduction management system) Next, the configuration of the pressure reduction management system SD will be described. The pressure reduction management system SD includes a management device 30 (a management device different from the management device 20 of the pressure reduction management system SD), an in-chamber pressure gauge 31 for detecting the pressure in the work chamber (inside the chamber), a manlock internal pressure gauge 32 for detecting the pressure in the manlock, and a camera 43 which is an imaging device for identifying an individual based on face authentication information. In addition, it is also preferable for the pressure reduction management system SD to be equipped with an IC tag, an IC tag reader, etc. for identifying an individual. As the management device 30, for example, a portable tablet or a PC can be used. Also, the time required for pressurization, work, and pressure reduction can be confirmed from the pressure information and time obtained by the pressure gauges 31 and 32.

[0024] Then, the management device 30 of the pressure reduction management system SD receives (and temporarily stores) measurement values such as the in-chamber pressure PN, the manlock internal pressure PM, and the image (face authentication information) VI via the Internet, and transmits the received measurement values etc. to the server 10 via the Internet. That is, the management device 30 aggregates and manages the high-pressure work history information composed of the in-chamber pressure PN and the manlock internal pressure PM, the information for identifying the worker, and the time information.

[0025] (Configuration of the server) Server 10 is, for example, a cloud server, which centrally manages information such as new entrant questionnaires, high-pressure health diagnosis results, and health diagnosis results. Further, server 10 receives and stores measurement values such as the body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, and vital capacity v, etc. of the workers from the management device 20 of the body information acquisition system SP. Also, server 10 receives and stores measurement values such as the chamber pressure PN, manlock internal pressure PM, and image (face authentication information) VI, etc. from the management device 30 of the pressure reduction management system SD.

[0026] Furthermore, server 10 holds the on-site pressure reduction management information (PN, PM, VI) and the body information (t, p, c, m, v) of each on-site worker in an associated state. That is, the body information of each worker at a certain point in time is stored in association with the pressure reduction management information.

[0027] And server 10 has a browsing function unit 10a (not shown) that stores daily information and holds it in a state where it can be graphed so that it can be browsed from the administrator PC 11. Further, server 10 has a daily report output function unit 10b (not shown) that acquires data on the pressure reduction table data for the high-pressure work plan, the entry and exit chamber times, and the high-pressure work history data such as pressurization time, work time, and pressure reduction time, and outputs a daily report of the high-pressure work every day. Further, server 10 has a warning notification function unit 10c (not shown) that determines the body information and sends a warning to the administrator if there is a problem.

[0028] In addition, the server 10 of this embodiment has a prediction function unit 10d that predicts the health status of the workers by machine learning of artificial intelligence (AI). That is, the prediction function unit 10 predicts the body information of the workers based on the relationship between the measurement values such as the body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, and vital capacity v, etc. of the workers, which are the body information, and the measurement values such as the chamber pressure PN, manlock internal pressure PM, and face authentication information VI, etc., which are the pressure reduction management information.

[0029] More specifically, for example, the prediction function unit 10d of the server 10 constructs a multi-layer neural network with the body information (t, p, c, m, v) of a plurality of workers and the decompression management information (PN, PM, VI) as the input layer, with one or more intermediate layers interposed, and the body information (t, p, c, m, v) as the output layer.

[0030] The administrator PC 11 can view and process the information of the server 10, but different viewing authorities are granted for each node. For example, it is preferable to configure the head office PC 11A to be able to view the on-site information of the entire company, the branch PC 11B to be able to view the on-site information within the branch, the on-site PC 11C to be able to view only the information of the corresponding site, and the affiliated company PC 11D to be able to view only its own company's information.

[0031] (Flow of control) Here, with reference to the flowchart of FIG. 3 and the sequence diagram of FIG. 4, the flow of health management control using the health management system SH will be described.

[0032] (1) Site opening The branch manager accesses the server 10 and registers data such as the site name, the name of the site manager, and the email address (step S1).

[0033] (2) Initial data registration 1. The site manager logs in to the server 10 and registers data such as the names and email addresses of the employees in the same group and the managers of the lower-level groups (subcontractors, etc.) (step S2). 2. For the employees in the lower-level groups (subcontracted workers, etc.), the site manager or the manager of the lower-level group registers data such as the names and email addresses (step S2). 3. For the registered employees (staff and workers), data such as new entrant registration, health check, and high-pressure health check are registered (step S3).

[0034] (3) Daily health management 1. Before work, measure physical information (step S4). Specifically, measure and check the following items. The terminal (management device 20) and the measuring device are connected by wire, wireless, Bluetooth (registered trademark), etc., and can acquire data of the measurement results. Before data acquisition, an individual is identified by face authentication or selecting one's own name from a registration list. · Body temperature measurement · Blood pressure measurement · Oxygen concentration measurement · Alcohol check 2. Check the check items of the questionnaire on the terminal (management device 20). 3. In addition, if there are items that should be measured regularly, measure them as appropriate and acquire data. · For the high-pressure health diagnosis results, input new data every six months, and for the health diagnosis results, input new data every year. 4. Transmit the acquired data and the questionnaire results from the terminal (management device 20) to the server 10 (step S5).

[0035] (4) Formulate a high-pressure work plan (step S6) 1. Select the workers who will enter the chamber to perform the work. 2. Refer to the data of the decompression table stored in the decompression management system SD, and acquire and set the decompression stop pressure and decompression stop time from the working pressure and the planned working time. · For example, when working at 0.2 (MPa) for XX hours, set the pressure and time to set the corresponding decompression stop pressure and decompression stop time. · Stop at x1 (MPa) for y1 (minutes), stop at x2 (MPa) for y2 (minutes) ···.

[0036] (5) Check before entering the chamber (step S7) 1. Add physical information and questionnaire as necessary. · For example, perform measurements with the spirometer 25 once a week or once every two weeks at a frequency to acquire data. · Check the questionnaire items before high-pressure work. 2. Compare the physical information and questionnaire data with the preset management values, and if it exceeds, an alarm will be notified to the administrator. · There are primary management values and secondary management values for management values. Even if the primary management value is exceeded, it is possible to enter the chamber at the discretion of the administrator, but it is not possible to enter the chamber if the secondary management value is exceeded. 3. The administrator checks the situation of the person entering the chamber, and if an alarm is notified, entry into the chamber is not possible without the permission of the administrator (Steps S8, S9).

[0037] (6) Entering the chamber and pressurizing (Step S10) 1. Enter the airlock, identify the individual with the decompression management system SD, and then start pressurization and pressurize to the working pressure. · When using a helium mixed gas, wear a mask at a predetermined pressure. 2. Data such as the pressurization start time, the person entering the chamber, and the working pressure are transmitted from the decompression management system SD to the server 10.

[0038] (7) Work (Step S11) 1. Move from the airlock to the work chamber and perform work inside the chamber. · When using a helium mixed gas, perform work while wearing a mask. 2. Data on the chamber pressure PN and the working time are stored in the decompression management system SD.

[0039] (8) Exiting the chamber and decompressing (Step S12) 1. Move to the airlock, identify the individual with the decompression management system SD, and then start decompression and decompress to atmospheric pressure. · When breathing a helium mixed gas, remove the mask at a predetermined pressure. · When performing oxygen decompression, put on and take off the mask according to the guidance of the decompression management system SD. 2. When decompressed to atmospheric pressure, end the decompression and exit the airlock. · After the decompression is completed, data such as the stop pressure and time during decompression, the decompression start time, the decompression end time, and the UPTD are transmitted from the decompression management system SD to the server 10.

[0040] (9) Health status management after decompression completion (Step S13) 1. Check the physical condition. If it is abnormal, measure blood pressure, body temperature, etc., and conduct a medical interview (step S14). · Create an investigation sheet for the fatigue site, etc. 2. Take corresponding measures according to the situation of poor physical condition (step S15). · Consult a doctor according to the situation. · Appropriately carry out transportation to the hospital or re-pressurization treatment at the site while awaiting the doctor's judgment.

[0041] (10) Output management forms and save data (step S16) 1. Automatically create and output a high-pressure work log 2. Automatically graph the time-series data of the health management status 3. Automatically tabulate and graph the data of the health status check sheet 4. Tabulate and graph the fatigue site investigation results 5. Tabulate and graph the measurement results by the spirometer 25 · Display the graph, compare with the data of other sites of the same person, and use the trend as a reference for future policies. · Whether to continue the hyperbaric oxygen therapy or interrupt it for a while, etc. 6. Tabulate and graph the UPTD records

[0042] (Example of comprehensive judgment) Hereinafter, using Tables 1 to 3, examples of the measurement results for Mr. A, Mr. B, and Mr. C and the comprehensive judgment regarding hyperbaric oxygen therapy will be explained.

[0043]

Table 1

[0044] As shown in Table 1, Mr. A is in a state where the body temperature t is within the primary management value, the blood pressure p is outside the secondary management value, the oxygen concentration c is outside the primary management value but within the secondary management value, the blood alcohol concentration m is within the primary management value, and the vital capacity v, etc. is outside the primary management value but within the secondary management value. In this state, since the blood pressure p is outside the secondary management value, the comprehensive determination automatically becomes "not permitted". Then, the administrator is notified, and at the same time, the worker himself / herself is also shown on the monitor "You cannot enter the enclosure because it is outside the secondary management value."

[0045]

Table 2

[0046] As shown in Table 2, Mr. B is in a state where the body temperature t is within the primary management value, the blood pressure p is outside the primary management value but within the secondary management value, the oxygen concentration c is outside the primary management value but within the secondary management value, the blood alcohol concentration m is within the primary management value, and the vital capacity v, etc. is outside the primary management value but within the secondary management value. In this state, since the blood pressure p, the oxygen concentration c, and the vital capacity v, etc. are outside the primary management value, the comprehensive determination automatically becomes "permission required". Then, the administrator is notified, and at the same time, the worker himself / herself is also shown on the monitor "You cannot enter the enclosure without permission from the administrator because it is outside the primary management value." In this case, the worker (person who needs attention) can enter the enclosure if they obtain permission from the administrator. Furthermore, according to the health management system SH of this embodiment, the prediction function unit 10d of the server 10 using AI (machine learning) enables the worker to receive accurate advice regarding permission / non - permission.

[0047]

Table 3

[0048] As shown in Table 3, Mr. C is in a state where the body temperature t is within the primary management value, the blood pressure p is within the primary management value, the oxygen concentration c is within the primary management value, the blood alcohol concentration m is within the primary management value, and the vital capacity v, etc. is within the primary management value. In this state, since all elements of the body information are within the primary management value, the comprehensive determination automatically becomes "permitted". In this case, the administrator is not notified. The worker can enter the chamber without receiving permission from the administrator.

[0049] (Specific examples of effects) Next, specific examples of the effects exerted by the health management system SH of this embodiment will be described. Below, it will be described separately in terms of the effects by using iot devices, the effects by data accumulation and unified management, the effects by cooperation with the decompression management system, and the effects by using AI.

[0050] (Effects by using iot devices) · It can be judged immediately after measurement. Furthermore, those who need attention and those who cannot enter the chamber are notified to the administrator. Even those who need attention can enter the chamber if they receive permission from the administrator. Furthermore, for those who need attention, accurate advice on permission / non - permission can be received through learning and prediction by AI.

[0051] (Effects by data accumulation and unified management) 1) Discrimination of differences among individuals · In the normal state, the measured values may be higher or lower, and there are differences among individuals. In particular, the respiratory function test by the spirometer 25 has a large difference among individuals. Also, if not noted, the measured value may become low. 2) Effects by data accumulation and unified management · For workers, past history data can be referred to. Previously, it was management for each site, but with unified management, past data (for example, data from other work sites) can also be referred to. Furthermore, by referring to more historical data, it becomes easier to accurately grasp an individual's tendency, so more accurate determination can be made. Even an inexperienced administrator can perform management comparable to that of a skilled administrator.

[0052] <Effects by cooperation with the decompression management system> · During the high-pressure work planning, since the data of the decompression table can be obtained, the labor and time are reduced. · Errors due to transcription mistakes can be reduced. · The work daily report can be created immediately after the decompression is completed. · Since the actual value of UPTD can be known immediately, it is easy to make a plan and manage. · During the planning, based on the previous physical information and high-pressure work history information, the plan can be made so as not to exceed the management values such as UPTD. UPTD has a standard value per week and a standard value per day, and both need to be satisfied. Specifically, it should be 600 or less per day and 2500 or less per week. For UPTD at the limit of the daily standard value, only about 4 days of work can be done in a week. If working 6 days a week, it will be about 400 or less per day. Although it is sufficient to always work below 400, if a problem occurs and it exceeds 400, adjustment is required so as not to exceed. Even in this case, if the system of the embodiment is used, irregularities can be grasped immediately, so it is possible to respond accurately. Especially at great depths, if the decompression table is not selected with UPTD below 600, the working hours may become too short, so it can be said that the effect is great.

[0053] <Effects by using AI> · At the time of face recognition, the physical condition can be judged simultaneously and advice can be displayed. For example, "Since your physical condition is not good, please avoid the work of entering the chamber." etc. As a result of learning by AI, advice can be given by associating the change in the color of the face etc. with the physical condition. · Display of advice on prediction and response of physical condition In the future, employees who may have a deterioration in physical condition can be picked up and advice can be displayed in advance. The physical condition can be predicted from the results of the medical interview and the measurement data of health management and advice can be given. For example, "Mr. XX is predicted to have a deterioration in physical condition in the future, so it is better to conduct follow-up observation." etc. By cooperating with the decompression management system SD and referring to its data, it is possible to predict the physical condition taking into account the influence of high-pressure work.

[0054] (Effect) Next, the effects of the health management system SH of the pneumatic caisson in this embodiment will be listed and described.

[0055] (1) As described above, the health management system SH of the pneumatic caisson includes a physical information acquisition system SP including a plurality of physical information acquisition devices 21-25 that acquire the physical information of the workers, and a management device 20 that aggregates the acquired plurality of physical information, an in-chamber pressure gauge 31 that measures the pressure in the work chamber, a manhole pressure gauge 32 that measures the pressure in the manhole, and a decompression management system SD including a management device 30 that aggregates the measured in-chamber pressure and manhole pressure, and a server 10 that receives and stores the plurality of physical information from the management device 20 of the physical information acquisition system SP and receives and stores the in-chamber pressure and manhole pressure from the management device 30 of the decompression management system SD. With such a configuration, physical information can be automatically acquired, and by collectively managing the data, more data can be accumulated and effectively utilized. That is, with the server 10 that receives and stores the decompression management information and the physical information collectively, it becomes possible to comprehensively determine the health state of the workers based on the on-site situation. Further, by associating the high-pressure work history information and the physical information through cooperation with the decompression management system SD, a database including the influence of the load under high pressure can be constructed, and by having the AI learn from it, the health state under working conditions including high-pressure work can be predicted.

[0056] (2) Further, by further providing an administrator terminal that can view the physical information (t, p, c, m, v), the in-chamber pressure PN, and the manhole pressure PM stored in the server 10, even an administrator located in a remote location can manage the health state of the workers.

[0057] (3) Further, the decompression management system SD is further provided with a camera 33 as an imaging device for acquiring face authentication information for identifying the worker, so that the worker can be automatically identified and associated with the body information and decompression management information automatically.

[0058] (4) Also, since the server 10 is configured to receive and store all of the body information (t, p, c, m, v) of the worker, the internal pressure PN of the chamber, and the internal pressure PM of the manlock at a plurality of different work sites, by incorporating the data of different work sites, it becomes possible to more accurately determine or predict the health status of the worker.

[0059] (5) Further, the server 10 further has a prediction function unit 10d for predicting the health status of the worker by machine learning of artificial intelligence based on the body information (t, p, c, m, v), the internal pressure PN of the chamber, and the internal pressure PM of the manlock, so that the health status of the worker can be accurately predicted. Furthermore, even an inexperienced administrator can perform management comparable to that of a skilled administrator.

[0060] As described above, the embodiments of the present invention have been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and design changes that do not deviate from the gist of the present invention are included in the present invention.

[0061] For example, in the embodiment, the case where the server 10 is provided with a prediction function unit by AI has been described. However, the present invention is not limited to this, and the server 10 may only store and hold various data, and the administrator terminal may have a prediction function unit by AI.

Explanation of Reference Numerals

[0062] 10: Server 10a: Browsing function unit 10b: Daily report output function unit 10c: Warning notification function unit 10d: Prediction function unit 20: Management device 21: Thermometer 22: Sphygmomanometer 23: Oxygen concentration detector 24: Alcohol checker 25: Spirometer 30: Management device 31: Inner pressure gauge 32: Manhole inner pressure gauge 43: Camera 11: Administrator's PC 11A: Head office PC 11B: Branch office PC 11C: Site PC 11D: Related company PC PM: Manhole inner pressure PN: Inner pressure of the chamber c: Oxygen concentration m: Blood alcohol concentration p: Blood pressure t: Body temperature v: Vital capacity, etc. SH: Health management system SP: Physical information acquisition system SD: Decompression management system

Claims

1. A body information acquisition system comprising: a plurality of body information acquisition devices that acquire the body information of a worker; and a management device that aggregates the plurality of acquired body information. A decompression management system comprising: an in-chamber pressure gauge that measures the pressure in a work chamber; a manhole pressure gauge that measures the pressure in a manhole; and another management device that aggregates high-pressure work history information composed of the measured in-chamber pressure, the manhole pressure, information for identifying the worker, and time information. A server that receives and stores the plurality of body information from the management device of the body information acquisition system, and receives and stores the high-pressure work history information from another management device of the decompression management system. The server is configured to receive and store all of the body information and the high-pressure work history information, which are past history data of workers at different work sites, in a health management system for a pneumatic caisson.

2. A body information acquisition system comprising: a plurality of body information acquisition devices that acquire the body information of a worker; and a management device that aggregates the plurality of acquired body information. A decompression management system comprising: an in-chamber pressure gauge that measures the pressure in a work chamber; a manhole pressure gauge that measures the pressure in a manhole; and another management device that aggregates high-pressure work history information composed of the measured in-chamber pressure, the manhole pressure, information for identifying the worker, and time information. A server that receives and stores the plurality of body information from the management device of the body information acquisition system, and receives and stores the high-pressure work history information from another management device of the decompression management system. The server further has a prediction function unit that predicts the health state of a worker by machine learning of artificial intelligence based on the body information and the high-pressure work history information. The server has a function of notifying a warning when the physical information, high-pressure work history information, and UTD exceed the management values for setting a high-pressure work plan, or assisting so that they do not exceed, based on the physical information and the high-pressure work history information, for a health management system of a pneumatic caisson.

3. A physical information acquisition system including a plurality of physical information acquisition devices that acquire physical information of workers engaged in work, and a management device that aggregates the acquired plurality of physical information. A decompression management system including an inner chamber pressure gauge that measures the pressure in the work chamber, a manlock inner pressure gauge that measures the pressure in the manlock, and another management device that aggregates high-pressure work history information composed of the measured inner chamber pressure, manlock inner pressure, information for identifying the worker, and time information. A server that receives and stores a plurality of the physical information from the management device of the physical information acquisition system, and receives and stores the high-pressure work history information from another management device of the decompression management system. The server further has a prediction function unit that predicts the health status of a worker engaged in work by machine learning of artificial intelligence based on the physical information and the high-pressure work history information. The prediction function unit constructs a multi-layer neural network having the physical information of a plurality of workers engaged in work and decompression management information as an input layer, with one or more intermediate layers interposed therebetween, and the physical information as an output layer. The server has a function of notifying a warning when the physical information, high-pressure work history information, and UTD exceed the management values for setting a high-pressure work plan, or assisting so that they do not exceed, based on the physical information and the high-pressure work history information, for a health management system of a pneumatic caisson.

4. The health management system of a pneumatic caisson according to any one of claims 1 to 3, wherein the server further has a determination function unit that determines the physical information and the high-pressure work history information, and a warning notification function unit that transmits a warning to a manager.

5. The server has a function of automatically creating an administrative form based on the physical information and the high-pressure work history information, and the pneumatic caisson health management system according to any one of claims 1 to 4.

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