Health management system of 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 technology]

[0002] In the pneumatic caisson method, compressed air is pumped into a work chamber located below the caisson, and excavation work is carried out while the air pressure expels groundwater. Traditionally, workers performed excavation work inside a work chamber under high pressure, but in recent years, unmanned excavation using excavators that can be remotely controlled from the ground has become common, taking into consideration the health of workers.

[0003] On the other hand, workers still need to enter the workroom to inspect, maintain, repair, dismantle, etc. of the excavator. Also, in cases of hard rock, unmanned excavation cannot be performed, and workers may need to enter the workroom to perform blasting work, etc.

[0004] Before work begins in the workroom, workers enter the manlock installed in the caisson from the ground, and after the pressure is increased to the same level as the workroom, they open the hatch on the workroom side of the manlock and move into the workroom to carry out their work. After work is completed, they enter the manlock from the workroom, close the hatch on the workroom side, and then allow the pressure to slowly decrease to atmospheric pressure before returning to the ground.

[0005] If the decompression is carried out too quickly, the inert gas (nitrogen gas) inside the body cannot be completely expelled and forms bubbles, causing various problems. This is commonly known as decompression sickness. To prevent decompression sickness, it is necessary to determine and manage decompression control information such as the decompression rate, stop pressure, and stop time according to the pressure in the work room and the work time.

[0006] As an example of a decompression management system that implements such decompression management, Patent Document 1 describes a technology in which an operator carries a portable terminal and records changes in pressure over time on the portable terminal, and the record is compared with decompression management information. The configuration of Patent Document 1 makes it possible to prevent management errors and increase worker safety. In addition, there is also a technology that automatically creates a daily hyperbaric chamber work report based on this decompression management system.

[0007] Furthermore, as a technology for acquiring vital data to determine health status, for example, Patent Document 2 describes a technology for acquiring vital information such as heart rate, blood pressure, body temperature, or respiratory rate and predicting health status. In addition, a technology for predicting health status based on past health status is also disclosed. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-284145 [Patent Document 2] Japanese Patent Application Publication No. 2020-149150 Summary of the Invention [Problem to be solved by the invention]

[0009] However, conventional systems, including the decompression management system of Patent Document 1, do not automatically acquire physical information, and because each work site has an independent system configuration, data cannot be accumulated and effectively utilized.

[0010] Furthermore, with the technology of Patent Document 2, when work is not only done on the ground but also in a workroom under high pressure, as in the case of the pneumatic caisson method, it is not possible to take into account the load under high pressure, making it difficult to predict the health condition.

[0011] SUMMARY OF THE INVENTION It is therefore an object of the present invention to provide a health management system that can take into account the stresses that occur under high pressure and that can accumulate and effectively utilize data. [Means for solving the problem]

[0012] In order to achieve the above-mentioned object, the pneumatic caisson health management system of the present invention comprises a physical information acquisition system comprising a plurality of physical information acquisition devices that acquire physical information of workers and a management device that consolidates the acquired plurality of pieces of physical information; a decompression management system comprising an internal box pressure gauge that measures the pressure in the work chamber, an internal box pressure gauge that measures the pressure in the manlock, and a management device that consolidates high-pressure work history information consisting of the measured internal box pressure and internal manlock pressure, information identifying the worker, and time information; and a server that receives and stores the plurality of pieces of physical information from the management device of the physical information acquisition system, and receives and stores the internal box pressure and internal manlock pressure from the management device of the decompression management system. [Effects of the Invention]

[0013] Thus, the health management system for pneumatic caissons of the present invention includes a physical information acquisition system equipped with a physical information acquisition device and a management device that consolidates the physical information; a decompression management system equipped with a caisson pressure gauge, a manlock pressure gauge, and a management device that consolidates the caisson pressure and the manlock pressure; and a server that receives and stores multiple physical information from the management device of the physical information acquisition system and receives and stores the caisson pressure and the manlock pressure from the management device of the decompression management system. This configuration enables automatic acquisition of physical information, and by managing the data in a centralized manner, more data can be accumulated and utilized effectively. Furthermore, by linking the decompression management system with high-pressure work history information and physical information (health information), a database containing the effects of stress under high pressure can be constructed, and by training AI to learn from this, health status can be predicted under working conditions that include high-pressure work. [Brief explanation of the drawings]

[0014] [Figure 1] FIG. 1 is a block diagram showing a system configuration of a health management system. [Figure 2] FIG. 10 is a block diagram illustrating viewing authority. [Figure 3] 10 is a flowchart illustrating a control flow of a health management system. [Figure 4] FIG. 10 is a sequence diagram illustrating a processing flow of a health management system. DETAILED DESCRIPTION OF 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 merely examples and are not intended to limit the technical scope of the present invention. [Example]

[0016] (Configuration of pneumatic caisson) Here, we will explain the structure of the pneumatic caisson. Although not shown, a cutting edge with a tapered tip is formed at the bottom of the pneumatic caisson, and a work chamber is formed by the inner surface of this cutting edge and the underside of the work chamber slab. At least one excavator is placed inside the work chamber, and the excavator is remotely operated to excavate the ground and lower the pneumatic caisson.

[0017] A material shaft extends from the workroom toward the ground, with a material lock installed at the top. Similarly, a man shaft extends from the workroom toward the ground, with a man lock installed at the top. In addition, compressed air equipment is installed to supply and exhaust compressed air into the workroom and man lock.

[0018] Furthermore, a central monitoring room has been installed on the ground near the pneumatic caisson, where the entire project is monitored and managed, including the delivery of materials via the excavator, material shaft, and material lock, the removal of excavated soil and sand, the entry and exit of workers via the man shaft and man lock, pressure management such as pressurization and depressurization within the man lock, and the display of the caisson's sinking amount, inclination, and other postures.

[0019] (Health care system configuration) Next, the configuration of the health management system SH of this embodiment will be described. The health management system SH is composed of a physical information acquisition system SP that acquires physical information for each individual, a decompression management system SD that manages pressurization and decompression, a server 10 that is, for example, a cloud server, and an administrator PC 11 that is an administrator terminal with hierarchical viewing authority. Note that Fig. 2 shows an example of the hierarchical structure, and each hierarchical level may be a single PC or multiple PCs.

[0020] That is, as will be described later, the health management system SH of this embodiment has a daily report output function that, in cooperation with the physical information acquisition system SP and the decompression management system SD, acquires decompression table data for planning high-pressure work, high-pressure work history data such as entry and exit times, pressurization time, work time, and decompression time, and outputs a daily high-pressure work daily report. Furthermore, the health management system SH has a warning notification function that judges the physical 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 physical information acquisition system SP will be described. The physical information acquisition system SP includes a management device 20 and physical information acquisition devices for acquiring physical information, including a thermometer 21 for measuring body temperature, a sphygmomanometer 22 for measuring blood pressure, an oxygen concentration meter 23 for measuring the oxygen concentration in the blood, an alcohol checker 24 for measuring the blood alcohol concentration, and a spirometer 25 for testing pulmonary function. The management device 20 can be, for example, a portable tablet or a PC.

[0022] The management device 20 of the physical information acquisition system SP receives (and temporarily stores) measurement values such as the worker's body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, vital capacity and forced expiratory volume in one second (hereinafter referred to as "vital capacity, etc.") v 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 decompression management system) Next, the configuration of the decompression management system SD will be described. The decompression management system SD is equipped with a management device 30 (a separate management device from the management device 20 of the decompression management system SD), a box pressure gauge 31 that detects the pressure inside the work chamber (inside the box), a manlock pressure gauge 32 that detects the pressure inside the manlock, and a camera 43 that is an imaging device for identifying individuals using facial recognition information. In addition, the decompression management system SD is preferably equipped with an IC tag or IC tag reader to identify individuals. For example, a portable tablet or PC can be used as the management device 30. Furthermore, the time required for pressurization, work, and decompression can be confirmed from the pressure information and time from the pressure gauges 31 and 32.

[0024] The management device 30 of the reduced pressure management system SD receives (and temporarily stores) measurement values such as the pressure inside the box PN, the pressure inside the manlock PM, and the image (facial recognition information) VI via the Internet, and transmits the received measurement values to the server 10 via the Internet. In other words, the management device 30 collectively manages the high-pressure work history information consisting of the pressure inside the box PN, the pressure inside the manlock PM, information identifying the worker, and time information.

[0025] (Server configuration) The server 10 is, for example, a cloud server, and centrally manages information such as new entrant questionnaires, hyperbaric health checkup results, and health checkup results. Furthermore, the server 10 receives and stores measurements such as the worker's body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, and lung capacity v from the management device 20 of the physical information acquisition system SP. The server 10 also receives and stores measurements such as the box internal pressure PN, manlock internal pressure PM, and images (face authentication information) VI from the management device 30 of the decompression management system SD.

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

[0027] The server 10 has a viewing function unit 10a (not shown) that stores daily information and holds it in a graphable form so that it can be viewed from the administrator's PC 11. The server 10 also has a daily report output function unit 10b (not shown) that acquires decompression table data for planning high-pressure work, high-pressure work history data such as entry and exit times, pressurization time, work time, and decompression time, and outputs a daily high-pressure work report. The server 10 also has a warning notification function unit 10c (not shown) that evaluates physical information and sends a warning to the administrator if there is a problem.

[0028] Additionally, the server 10 of this embodiment has a prediction function unit 10d that predicts the worker's health condition through machine learning using artificial intelligence (AI). That is, the prediction function unit 10 predicts the worker's physical information based on the relationship between measured values of the worker's body temperature t, blood pressure p, oxygen concentration c, blood alcohol concentration m, vital capacity v, etc., which are physical information, and measured values of the box internal air pressure PN, manlock internal air pressure PM, face authentication information VI, etc., which are decompression management information.

[0029] More specifically, the prediction function unit 10d of the server 10 can construct a multi-layer neural network, for example, in which the input layer is the physical information (t, p, c, m, v) of multiple workers and the decompression management information (PN, PM, VI), and the output layer is the physical information (t, p, c, m, v) via one or more intermediate layers.

[0030] The administrator PC 11 can view and process information on the server 10, but different viewing privileges are granted for each node. For example, it is preferable to configure the system so that the head office PC 11A can view all company site information, the branch office PC 11B can view site information within the branch office, the site PC 11C can view only information for that site, and the affiliated company PC 11D can view only information about the company itself.

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

[0032] (1) On-site opening The branch manager accesses the server 10 and registers data such as the site name, the site manager's name, and 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 workers in the same group and the managers of subordinate groups (subcontractors, etc.) (step S2). 2. For employees in lower groups (such as subcontracted workers), the site manager or the manager of the lower group registers data such as names and email addresses (step S2). 3. For registered employees (staff and workers), data such as new entrant registration, health checkup, and high-pressure health checkup are registered (step S3).

[0034] (3) Daily health management 1. Before starting work, physical information is measured (step S4). Specifically, the following items are measured and checked. The terminal (management device 20) and the measuring device are connected via wire, wireless, Bluetooth (registered trademark), etc., and measurement result data can be acquired. Before acquiring the data, individuals are identified by facial recognition or by selecting their own name from a registration list. Body temperature measurement Blood pressure measurement Oxygen concentration measurement Alcohol check 2. Check the items on the questionnaire using the terminal (management device 20). 3. If there are any other items that should be measured regularly, measure them as appropriate and obtain the data. · New data for high pressure health checkup results is entered every 6 months, and new data for health checkup results is entered every year. 4. The acquired data and interview results are transmitted from the terminal (management device 20) to the server 10 (step S5).

[0035] (4) High-pressure work plan formulation (Step S6) 1. Select workers to enter the box and perform the work. 2. Refer to the decompression table data stored in the decompression management system SD, and obtain and set the decompression stop pressure and decompression stop time based on the working pressure and planned working time. For example, if you want to work at 0.2 (MPa) for XX hours, set the air pressure and time, and then set the corresponding decompression stop air pressure and decompression stop time. ·Stop at x1 (MPa) for y1 (minutes), then stop at x2 (MPa) for y2 (minutes)...

[0036] (5) Check before entering the box (Step S7) 1. Add physical information and medical history as needed. For example, measurements using a spirometer 25 are taken once a week or once every two weeks to obtain data. · Check the medical interview items before working under high pressure. 2. Physical information and interview data are compared with pre-set control values, and if they exceed the set values, an alarm is sent to the administrator. There are primary and secondary control values. If the primary control value is exceeded, the administrator can decide to allow the item to be sent to the mailbox, but if the secondary control value is exceeded, the item cannot be sent to the mailbox. 3. The administrator checks the status of the person entering the mailbox, and if an alarm is issued, the person cannot enter the mailbox unless permission is obtained from the administrator (steps S8, S9).

[0037] (6) Packing and pressurization (Step S10) 1. Enter the manlock, identify the individual using the decompression management system SD, then begin pressurizing up to the working pressure. When using helium mixed gas, wear a mask at the specified pressure. 2. The decompression management system SD sends data such as the pressurization start time, the person entering the box, and the working pressure to the server 10.

[0038] (7) Work (Step S11) 1. Move from Manlock to the workroom and work inside the box. When using helium mixed gas, keep the mask on while working. 2. Data on the pressure inside the enclosure (PN) and the working time are stored in the decompression management system (SD).

[0039] (8) Discharge and decompression (Step S12) 1. Move to Manlock, identify the individual using the decompression management system SD, then begin decompression and reduce pressure to atmospheric pressure. When breathing helium mixed gas, remove the mask at the specified air pressure. When decompressing oxygen, put on and take off the mask according to the guidance of the decompression management system SD. 2. Once the pressure has been reduced to atmospheric pressure, stop decompression and exit Manlock. After the decompression is completed, data such as the stop pressure and time during decompression, the decompression start time, the decompression end time, and UPTD are sent from the decompression management system SD to the server 10.

[0040] (9) Health status management after decompression (step S13) 1. Check the patient's physical condition, and if the patient is not well, measure the patient's blood pressure, temperature, etc., and conduct a medical interview (step S14). - Creation of fatigue area survey sheets, etc. 2. Take action according to the state of poor health (step S15). Consult a doctor depending on the situation. - While consulting a doctor, transport the victim to a hospital or administer recompression treatment on the scene as appropriate.

[0041] (10) Output management report and save data (step S16) 1. Automatically create and output a high-pressure work log 2. Automatic graphing of time-series data on health management status 3. Automatically create tables and graphs of health check sheet data 4. Tabulation and graphing of fatigue area survey results 5. Listing and graphing of measurement results using Spirometer 25 ·Graph display ·Compare data from the same person at other sites and use trends as a reference for future policies. - Whether to continue receiving mail or suspend it for a while, etc. 6. UPTD record list and graph

[0042] (Example of overall evaluation) Below, using Tables 1 to 3, an example of the measurement results for Mr. A, Mr. B, and Mr. C and an overall judgment on the items entering the mailbox will be explained.

[0043] [Table 1]

[0044] As shown in Table 1, Mr. A's body temperature t is within the primary control range, his blood pressure p is outside the secondary control range, his oxygen concentration c is outside the primary control range but within the secondary control range, his blood alcohol concentration m is within the primary control range, and his vital capacity v is outside the primary control range but within the secondary control range. In this state, because his blood pressure p is outside the secondary control range, the overall judgment is automatically "not permitted." When this happens, the manager is notified, and the worker himself is also shown a message on the monitor saying, "The item cannot be placed in the mailbox because it is outside the secondary control range."

[0045] [Table 2]

[0046] As shown in Table 2, Mr. B's body temperature t is within the primary control range, his blood pressure p is outside the primary control range but within the secondary control range, his oxygen concentration c is outside the primary control range but within the secondary control range, his blood alcohol concentration m is within the primary control range, and his vital capacity v is outside the primary control range but within the secondary control range. In this state, because the blood pressure p, oxygen concentration c, and vital capacity v are outside the primary control range, the overall assessment automatically becomes "permission required." This notifies the manager, and the worker himself / herself is also shown a message on the monitor saying, "Because this is outside the primary control range, you cannot enter the mailbox without the manager's permission." In this case, the worker (a person requiring caution) can enter the mailbox if he / she receives permission from the manager. Furthermore, according to the health management system SH of this embodiment, the prediction function unit 10d of the server 10, which uses AI (machine learning), can provide accurate advice regarding permission / denial.

[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 is within the primary management value. In this state, since all elements of the body information are within the primary management value, the comprehensive judgment automatically becomes "permitted". In this case, the administrator is not notified. The worker can enter the chamber without obtaining 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. Hereinafter, the effects will be described separately as 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 instantaneously 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 obtain permission from the administrator. Furthermore, those who need attention can receive accurate advice on permission / non - permission by learning and prediction by AI.

[0051] (Effects by data accumulation and unified management) 1) Discrimination of differences among individuals · There are differences among individuals, such as the measured values being higher or lower in the normal state. In particular, the respiratory function test using the spirometer 25 has a large difference among individuals. Also, if not noted, the measured value may become lower. 2) Effects by data accumulation and unified management · For workers, past history data can be referred to. Conventionally, 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 history data, it becomes easier to accurately grasp individual tendencies, so more accurate judgment can be made. Even an inexperienced administrator can perform management comparable to that of a skilled administrator.

[0052] <Effects by Cooperation with Decompression Management System> · When planning high-pressure work, since data on the decompression table can be obtained, labor and time are reduced. · Errors due to transcription mistakes can be reduced. · A work daily report can be created immediately after decompression completion. · Since the actual value of UPTD can be known immediately, it is easy to make a plan and manage. · When planning, based on the previous physical information and high-pressure work history information, a plan can be made so as not to exceed 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. With a UPTD just reaching 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 necessary so as not to exceed. Even in this case, if the system of the embodiment is used, irregularities can be grasped immediately, and thus appropriate response is possible. In particular, at great depths, if a decompression table is not selected with a UPTD of 600 or less, the working hours may become too short, so it can be said that the effect is great.

[0053] <Effects by AI Utilization> · At the time of face authentication, the physical condition can be judged simultaneously and advice can be displayed. For example, "Since your physical condition is not good, please avoid entering the chamber work", 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. · Prediction of physical condition and display of advice for response [[ID=2D]]Employees who may have a deterioration in physical condition in the future can be picked up and advice can be displayed in advance. Based on the results of the medical interview and measurement data of health management, the physical condition can be predicted 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. It also works in conjunction with the decompression management system SD, and by referencing that data, it is possible to predict physical condition taking into account the effects of working at high pressure.

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

[0055] (1) As described above, the pneumatic caisson health management system SH includes a physical information acquisition system SP, which includes multiple physical information acquisition devices 21-25 for acquiring physical information from workers and a management device 20 for aggregating the acquired physical information; a decompression management system SD, which includes an internal pressure gauge 31 for measuring the pressure in the work chamber, an internal pressure gauge 32 for measuring the pressure in the manlock, and a management device 30 for aggregating the measured internal pressure and internal pressure in the manlock; and a server 10, which receives and stores the multiple pieces of physical information from the management device 20 of the physical information acquisition system SP and receives and stores the internal pressure and internal pressure in the manlock from the management device 30 of the decompression management system SD. This configuration enables automatic acquisition of physical information, and by managing the data in a centralized manner, it is possible to accumulate and effectively utilize more data. In other words, the server 10, which receives and stores decompression management information and physical information in a centralized manner, makes it possible to comprehensively assess the health status of workers based on the site conditions. In addition, by linking with the decompression management system SD, it is possible to build a database that includes the effects of stress caused by high pressure by linking high pressure work history information with physical information, and by having AI learn this, it is possible to predict health conditions under working conditions that include working under high pressure.

[0056] (2) Furthermore, by providing an administrator terminal that can view the physical information (t, p, c, m, v), the pressure inside the box PN, and the pressure inside the manlock PM stored in the server 10, even a manager in a remote location can manage the health status of workers.

[0057] (3) Furthermore, the decompression management system SD is further equipped with a camera 33 as an imaging device that acquires facial recognition information to identify the worker, thereby automatically identifying the worker and automatically associating the worker with physical information and decompression management information.

[0058] (4) Furthermore, the server 10 is configured to receive and store all of the worker's physical information (t, p, c, m, v), the pressure inside the box PN, and the pressure inside the manlock PM at multiple different work sites. By incorporating data from different work sites, the health status of the worker can be determined and predicted with even greater accuracy.

[0059] (5) Furthermore, the server 10 further includes a prediction function unit 10d that predicts the health condition of the worker based on the physical information (t, p, c, m, v), the pressure inside the box PN, and the pressure inside the manlock PM using machine learning artificial intelligence, thereby enabling accurate prediction of the worker's health condition. Furthermore, even an inexperienced manager can perform management equivalent to that of a skilled manager.

[0060] Although the embodiments of the present invention have been described above in detail with reference to the drawings, 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 server 10 is described as having an AI prediction function unit, but this is not limited to this. The server 10 may store and retain only various data, and the administrator terminal may have an AI prediction function unit. [Explanation of symbols]

[0062] 10: Server 10a: Viewing function section 10b: Daily report output function section 10c: Warning notification function section 10d: Prediction function section 20: Management device 21: Thermometer 22: Blood pressure monitor 23: Oxygen concentration measuring device 24: Alcohol checker 25: Spirometer 30: Management device 31: Pressure gauge inside the enclosure 32: Manlock internal pressure gauge 43: Camera 11:Administrator PC 11A: Head office PC 11B: Branch PC 11C: On-site PC 11D: Affiliated company PC PM: Pressure inside manlock PN: Pressure inside the box c: oxygen concentration m: Blood alcohol concentration p: blood pressure t: body temperature v: vital capacity, etc. SH: Health Management System SP: Body Information Acquisition System SD: Decompression Management System

Claims

1. a physical information acquisition system including a plurality of physical information acquisition devices that acquire physical information of workers and a management device that consolidates the acquired physical information; a decompression management system comprising an in-cabin pressure gauge for measuring the pressure in the work chamber, an in-cabin pressure gauge for measuring the pressure in the manlock, and another management device for aggregating high-pressure work history information consisting of the measured in-cabin pressure, the in-cabin pressure, information identifying the worker, and time information; a server that receives and stores the plurality of pieces of 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; A pneumatic caisson health management system in which the server is configured to receive and store, in a centralized manner, the physical information and high-pressure work history information, which are the past historical data of workers at multiple different work sites.

2. a physical information acquisition system including a plurality of physical information acquisition devices that acquire physical information of workers and a management device that consolidates the acquired physical information; a decompression management system comprising an in-cabin pressure gauge for measuring the pressure in the work chamber, an in-cabin pressure gauge for measuring the pressure in the manlock, and another management device for aggregating high-pressure work history information consisting of the measured in-cabin pressure, the in-cabin pressure, information identifying the worker, and time information; a server that receives and stores the plurality of pieces of 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 includes a prediction function unit that predicts the health condition of the worker based on the physical information and the high-pressure work history information by machine learning using artificial intelligence; The server is a pneumatic caisson health management system that has the function of automatically creating management reports based on the physical information and the high-pressure work history information.

3. a physical information acquisition system including a plurality of physical information acquisition devices that acquire physical information of workers and a management device that consolidates the acquired physical information; a decompression management system comprising an in-cabin pressure gauge for measuring the pressure in the work chamber, an in-cabin pressure gauge for measuring the pressure in the manlock, and another management device for aggregating high-pressure work history information consisting of the measured in-cabin pressure, the in-cabin pressure, information identifying the worker, and time information; a server that receives and stores the plurality of pieces of 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 includes a prediction function unit that predicts the health condition of the worker based on the physical information and the high-pressure work history information by machine learning using artificial intelligence; the prediction function unit constructs a multilayer neural network in which the physical information and decompression management information of a plurality of workers are used as an input layer, and the physical information is used as an output layer via one or more intermediate layers; The server is a pneumatic caisson health management system that has the function of automatically creating management reports based on the physical information and the high-pressure work history information.

4. A health management system for a pneumatic caisson as described in any one of claims 1 to 3, further comprising an administrator terminal capable of viewing the physical information and high-pressure work history information stored in the server.

5. The health management system for a pneumatic caisson according to any one of claims 1 to 4, wherein the decompression management system further comprises an imaging device that acquires facial recognition information for identifying workers.

6. A health management system for a pneumatic caisson as described in any one of claims 1 to 5, wherein the management device of the physical information acquisition system further includes a functional unit for identifying individuals by facial recognition or by selecting a name from a registration list.

7. A health management system for a pneumatic caisson as described in any one of claims 1 to 6, wherein the server further has a judgment function unit that judges the physical information and the high-pressure work history information and a warning notification function unit that sends a warning to an administrator.

8. A pneumatic caisson health management system as described in any one of claims 1 to 7, wherein the server has a function of issuing a warning or assisting in preventing the physical information, high pressure history, and UPTD from exceeding control values in setting a high pressure work plan based on the physical information and the high pressure work history information.

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