Data Management System

Abstract

To provide a proper system to prevent noise failures.SOLUTION: A data management system 10 is a system which manages data about a worker 30 who are working in noisy places. The data management system 10 has a server and a terminal 13 (a worker terminal, a management terminal) connected to the server by such a network as the Internet. The server acquires hearing data obtained by measuring the hearing of a worker 30, acquires noise data obtained by measuring the noise of a work place, and stores the hearing data and the noise data in relation to identification data 30a for identifying the worker 30.SELECTED DRAWING: Figure 7

Description

Technical Field

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[0001] The present invention relates to a data management system.

Background Art

[0002] Patent Document 1 discloses a method for reducing noise as a technology related to noise.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The technology of Patent Document 1 may be able to reduce noise, but at present, there is no appropriate system for preventing noise disorders. Although enterprises with relevant workplaces regularly conduct noise work environment measurements and special health examinations, when changing jobs, the work environment history and health examination results of the previous employer are not brought to the new employer, and when the health examination agency contracted by the enterprise changes, there are cases where past data cannot be referred to. Noise-induced hearing loss often takes many years to develop due to the cumulative effect of noise exposure, and a long-term noise exposure history is required for diagnosis, but currently, there is no system for storing such data. Therefore, an object of the present invention is to provide an appropriate system for preventing noise disorders.

Means for Solving the Problems

[0005] The present invention employs the following solutions to solve the above problems. Note that the following solutions are merely examples, and the present invention is not limited thereto.

[0006] Solution 1: The data management system of this solution is a data management system for managing data relating to workers working in a workplace where noise is generated, and comprises a server and a terminal connected to the server via a network, wherein the server acquires hearing data obtained by measuring the hearing of the workers and noise data obtained by measuring the noise of the workplace, the server or the terminal stores the hearing data and the noise data linked to identification data that identifies the workers, and the terminal can view the hearing data and the noise data linked to the identification data stored in the server or the terminal.

[0007] According to this solution, the terminal can view hearing data and noise data linked to identification data stored on the server or the terminal. Therefore, the hearing data and noise data can be compared to check the condition of the worker's ears, and as a result, an appropriate system for preventing noise-induced harm can be provided.

[0008] Solution 2: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the server or terminal stores the hearing data and the noise data in chronological order.

[0009] According to this solution, the server or terminal stores hearing data and noise data in chronological order, allowing the worker's hearing condition to be checked while considering the temporal changes in the hearing data and noise data.

[0010] Solution 3: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the noise data includes noise meter data obtained by a noise meter and noise exposure meter data obtained by a noise exposure meter.

[0011] According to this solution, by including not only sound level meter data but also noise exposure meter data in the noise data, the hearing condition of workers and others can be confirmed based on a wealth of information. Note that the noise exposure meter data is not limited to the noise exposure meter data of workers. For example, the noise exposure meter data may be that of a site supervisor, a person staying near the work area, or a worker guiding staff member at the work area.

[0012] Solution 4: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the noise data includes the noise exposure meter data of the worker and period data of the period during which the worker was engaged in work at the workplace.

[0013] This solution allows for accurate assessment of worker exposure during the period they are engaged in work at the workplace.

[0014] Solution 5: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the server or the terminal classifies the noise data based on predetermined classifications of data.

[0015] According to this solution, the server or terminal categorizes noise data based on predetermined data categories, thereby automating the categorization of noise data and improving convenience.

[0016] Solution 6: The data management system of this solution is characterized in that, in any of the solutions described above, the server or terminal has a function to input and edit that the amount of noise exposure accumulated per day has decreased in relation to noise countermeasures generated based on the hearing data and the noise data.

[0017] According to this solution, it is easy to determine that the amount of noise exposure has decreased.

[0018] Solution 7: In the data management system of this solution, in any of the above solutions, the server or the terminal has a function of displaying information on a soundproof protection device appropriate for noise countermeasures generated based on the hearing data and the noise data. The data management system is characterized by this.

[0019] According to this solution, information on soundproof protection devices can be easily obtained.

[0020] Solution 8: In the data management system of this solution, in any of the above solutions, the information on the soundproof protection device is the performance value of the soundproof protection device. The data management system is characterized by this.

[0021] According to this solution, the performance value of the soundproof protection device can be grasped, and an appropriate soundproof protection device can be easily selected.

[0022] Solution 9: In the data management system of this solution, in any of the above solutions, the information on the soundproof protection device is the type information of the soundproof protection device. The data management system is characterized by this.

[0023] According to this solution, the type information of the soundproof protection device can be grasped, and an appropriate soundproof protection device can be easily selected.

[0024] Solution 10: In the data management system of this solution, in any of the above solutions, the server or the terminal stores noise countermeasure data related to noise countermeasures generated based on the hearing data and the noise data, linked to the identification data. The data management system is characterized by this.

[0025] According to this solution, not only hearing data and noise data but also noise countermeasure data are associated with identification data and stored. Therefore, it is possible to confirm whether the noise countermeasure is appropriate based on a large amount of data. Here, the noise countermeasure data is, for example, re-selection of the tool of the noise source, installation of a soundproof wall near the source, presence or absence of wearing earplugs (manufacturer name model, SNR value), working time (noise exposure time), the noise level reduced by the countermeasure, and the classified value according to the noise level.

[0026] Solution 11: The data management system of this solution is a data management system characterized in that, in any of the above solutions, the server or the terminal associates and stores the classification of the noise data changed after the countermeasure against noise and the estimated noise level actually exposed by wearing a soundproof protective device with the identification data.

[0027] According to this solution, it is possible to manage in association with the identification data including the estimated noise level.

[0028] Solution 12: The data management system of this solution is a data management system characterized in that, in any of the above solutions, the server or the terminal acquires health diagnosis data regarding the result of the health diagnosis of the worker and determines whether the noise countermeasure is functioning properly by comparing the health diagnosis data with the hearing data.

[0029] According to this solution, it is possible to automatically confirm the effect of the noise countermeasure in order to determine whether the noise countermeasure is functioning properly.

[0030] Solution 13: The data management system of this solution is a data management system characterized in that, in any of the above solutions, the server or the terminal can convert the health diagnosis data into data conforming to a predetermined format.

[0031] According to this solution, the server or terminal can convert health checkup data into data conforming to a predetermined format, thus automating the data conversion process and improving convenience.

[0032] Solution 14: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the terminal includes a worker terminal used by the worker, and the worker terminal is capable of viewing data linked to the identification data corresponding to the worker.

[0033] According to this solution, since the worker terminal can view data linked to the identification data corresponding to the worker, the worker can check the condition of their ears at any time.

[0034] Solution 15: The data management system of this solution is a data management system characterized in that, in any of the solutions described above, the server or terminal has a function to calculate a special value relating to exposure based on the noise data, daily work time data indicating how much work a worker did in a day, and the period data.

[0035] This solution has a function to automatically calculate special values ​​related to exposure, thereby improving convenience.

[0036] Solution 16: The data management system of this solution is characterized in that, in any of the solutions described above, the terminal includes an administrator terminal used by the administrator of the server, and the administrator terminal can view the noise control data linked to the identification data in a manner that does not identify the worker.

[0037] According to this solution, the administrator terminal can view noise reduction data linked to identification data in a way that does not identify the worker, thus allowing the administrator to consider noise reduction measures while protecting the worker's personal information.

[0038] Solution 17: The data management system of this solution is characterized in that, in any of the solutions described above, the terminal includes an administrator terminal used by the administrator of the server, the server acquires environmental data relating to the environment of the workplace, selects noise reduction example data suitable for the environment of the workplace from a predetermined set of noise reduction example data based on the environmental data, and the administrator terminal can view the noise reduction example data selected by the server.

[0039] According to this solution, the administrator terminal can view the countermeasure example data selected by the server, thus automating the selection of noise countermeasure example data and improving convenience.

[0040] Solution 18: The data management system of this solution is a data management system that, in any of the solutions described above, allows input to the server of the degree of risk reduction foreseeable from the noise reduction example data and records of the implementation of maintenance management for that reduction.

[0041] This solution allows for the daily management and maintenance of information associated with noise reduction case study data. [Effects of the Invention]

[0042] According to the present invention, it is possible to provide an appropriate system for preventing noise pollution. [Brief explanation of the drawing]

[0043] [Figure 1] This figure shows a data management system 10 of the embodiment. [Figure 2] This is a flowchart showing the flow of server control processing (1 / 2). [Figure 3] This is a flowchart showing the flow of server control processing (2 / 2). [Figure 4]A flowchart (1 / 2) shows the flow of terminal control processing. [Figure 5] This flowchart shows the flow of terminal control processing (2 / 2). [Figure 6] This diagram shows the contents of the data stored on the server. [Figure 7] This figure shows an example of how to use the data management system 10 of the embodiment. [Modes for carrying out the invention]

[0044] Embodiments of the present invention will be described below with reference to the drawings. Figure 1 is a block diagram of the data management system 10 of the embodiment. The data management system 10 is a data management system that manages data related to workers 30 working in a workplace 20 where noise is generated. The data management system 10 comprises a server 11 and terminals 13 connected to the server 11 via a network 12 such as the Internet. The terminals 13 are personal computers or portable information processing terminals.

[0045] Server 11 is equipped with a control unit (CPU) and a memory device, and operates by the control unit of Server 11 executing a server control processing program (management software). Terminal 13 is equipped with a control unit (CPU) and a memory device, and operates by the control unit of Terminal 13 executing a terminal control processing program (management software). The server control processing program is stored on server 11, and the terminal control processing program is stored on terminal 13. Additionally, terminal 13 has an application specifically for this system installed.

[0046] To use this system, the dedicated application for this system is launched on terminal 13, and users log in from the login screen to begin using the system. In this case, if a worker ID is used to log in, terminal 13 becomes worker terminal 14, and if an administrator ID is used to log in, terminal 13 becomes administrator terminal 15. In the following, when terminal 13 is simply referred to, it may mean that both worker terminal 14 and administrator terminal 15 are included.

[0047] Furthermore, this system uses the following four measuring instruments to measure various values. However, it is not necessary to use all four measuring instruments; at least one measuring instrument can be used depending on the system's usage.

[0048] The first measuring instrument 71 is a device capable of measuring the hearing of the worker 30 and outputting hearing data 81. The first measuring instrument 71 is, for example, an audiometer (hearing test device). The second measuring instrument 72 is a device capable of measuring the noise in the workplace 20 and outputting noise data 82. The second measuring instrument 72 is, for example, a sound level meter or a noise exposure meter.

[0049] The third measuring instrument 73 is a device capable of measuring the health status (including hearing) of the worker 30 and outputting health examination data 83. The third measuring instrument 73 is, for example, one of the various measuring instruments (including an audiometer) used during health examinations. The third measuring instrument 73 is operated by a medical professional 40 (industrial physician).

[0050] The fourth measuring instrument 74 is a device capable of measuring the environment of the workplace 20 and outputting environmental data 84. The fourth measuring instrument 74 includes a sound level meter, a noise exposure meter, a thermometer, a hygrometer, etc., and the measurement results (noise level, exposure level, temperature, humidity, etc.) are included in the environmental data 84. The fourth measuring instrument 74 is operated by the measurement operator 50. The environmental data 84 can also include calibration results, set values, measurement results, and work process items at the measurement site.

[0051] Hearing data 81, noise data 82, health check data 83, and environmental data 84 are transmitted to the administrator terminal 15 (transmitted by a predetermined communication means) or input into the administrator terminal 15 (inputted by a predetermined operating means), and then transmitted to the server 11 via the network 12. The various data are transmitted together with identification data 30a (worker ID) (the same applies hereinafter). Alternatively, the various data may be transmitted to the server 11 via the worker terminal 14 (the same applies hereinafter).

[0052] The company's safety and health committee 60 determines noise countermeasures based on hearing data 81 and noise data 82, and generates noise countermeasure data 85 related to those countermeasures. The noise countermeasure data 85 is transmitted to or entered into the administrator terminal 15 and sent to the server 11 via the network 12. The server 11 stores the noise countermeasure data 85 related to noise countermeasures generated based on the hearing data 81 and noise data 82, linking it to identification data 30a.

[0053] Server 11 acquires hearing data 81 obtained by measuring the hearing of worker 30, and noise data 82 obtained by measuring the noise level in the workplace 20. Server 11 also stores the hearing data 81 and noise data 82 in association with identification data 30a that identifies worker 30. Identification data 30a is data that can identify worker 30, for example, the worker ID written on the employee ID card.

[0054] Terminal 13 can view hearing data 81 and noise data 82 linked to identification data 30a stored in server 11. The viewable data can be output to a file or printed (the same applies hereafter).

[0055] The noise data 82 includes noise meter data obtained by a noise meter and noise exposure meter data obtained by a noise exposure meter. Preferably, the noise data 82 also includes noise exposure meter data of workers and period data for the period during which they were engaged in work at that workplace.

[0056] Terminal 13 includes a worker terminal 14 used by worker 30. The worker terminal 14 can view data linked to identification data 30a corresponding to worker 30.

[0057] Terminal 13 includes an administrator terminal 15 used by the administrator of server 11. The administrator terminal 15 can view the noise control data 85 linked to the identification data 30a in a way that does not identify the worker 30. However, if the measurement personnel 50 or the company's safety and health committee 60 use the administrator terminal 15, they may be able to view the noise control data 85 in a way that identifies the worker 30.

[0058] Figures 2 and 3 are flowcharts showing the flow of server control processing. This processing is executed by the control unit of server 11. This processing is incorporated into the main loop processing of the server 11 program. This processing is executed repeatedly while server 11 is running. The details of the processing are described below.

[0059] Step S101: Server 11 performs a process to check whether or not hearing data has been acquired. The hearing data is sent from terminal 13 to server 11. If the server confirms that hearing data has been acquired (Yes), it executes step S102. On the other hand, if it cannot confirm that hearing data has been acquired (No), the server executes step S103.

[0060] Step S102: Server 11 performs the process of storing hearing data in association with identification data.

[0061] Step S103: Server 11 performs a process to check whether or not noise data has been acquired. The noise data is sent from terminal 13 to server 11. If it is confirmed that noise data has been acquired (Yes), the server 11 executes step S104. On the other hand, if it is not confirmed that noise data has been acquired (No), the server 11 executes step S106.

[0062] Step S104: Server 11 performs the process of storing noise data in association with identification data. Step S105: Server 11 performs the process of classifying the noise data. Server 11 classifies the noise data based on predetermined classification data. The noise data can be classified into three categories: first management category, second management category, and third management category.

[0063] The classification into which a sound level falls can be determined based on the results of one or more measurement methods (A measurement (measurement using a sound level meter), B measurement (a different measurement using a sound level meter), C measurement (measurement using a noise exposure meter)). The classification method is based on a calculation algorithm included in the program. For example, if the result of A measurement is less than 85 dB(A) and the result of B measurement is also less than 85 dB(A), the sound level will be classified into the first management category. The classification results are stored as management classification data (1st management classification = 1, 2nd management classification = 2, 3rd management classification = 3), linked to the identification data.

[0064] Step S106: Server 11 performs a process to check whether or not noise reduction data has been acquired. The noise reduction data is sent from terminal 13 to server 11. If it is confirmed that noise reduction data has been obtained (Yes), the server 11 executes step S107. On the other hand, if it is not confirmed that noise reduction data has been obtained (No), the server 11 moves to the out-of-page connector (A) and executes step S108 (Figure 3).

[0065] Step S107: Server 11 executes a process to store noise reduction data linked to identification data. After completing the process in step S107, the server 11 moves to the page-external connector (A) and executes step S108 (Figure 3).

[0066] Step S108: Server 11 performs a process to check whether or not health check data has been acquired. The health check data is sent from terminal 13 to server 11. If the server confirms that health checkup data has been obtained (Yes), it executes step S109. On the other hand, if it cannot confirm that health checkup data has been obtained (No), the server executes step S111.

[0067] Step S109: Server 11 executes a process to store health check data linked to identification data. Step S110: Server 11 performs noise reduction determination processing. Specifically, Server 11 acquires health examination data regarding the results of health examinations of workers, and determines whether or not the noise reduction measures are functioning properly by comparing the health examination data with hearing data.

[0068] For example, if the hearing values ​​included in health checkup data are the same as the hearing values ​​included in hearing data, it is determined that the noise reduction measures are functioning properly. Furthermore, if the hearing value included in the health checkup data is better than the hearing value included in the hearing data, it is determined that the noise reduction measures are functioning properly. On the other hand, if the hearing value included in the health checkup data is worse than the hearing value included in the hearing data, it will be determined that the noise control measures are not functioning properly (are abnormal). The criteria used for this determination may be determined based on the instructions of an industrial physician or otolaryngologist. The judgment result is stored as judgment result data linked to the identification data. The judgment result data may include the presence or absence of noise-induced hearing loss as determined by a physician, whether or not follow-up observation is required, the presence or absence of findings in the results of a regular health checkup, etc., or it may simply be normal or abnormal, or a combination of these.

[0069] Step S111: Server 11 performs a process to check whether or not it has received a conversion request (first conversion request or second conversion request). A conversion request is a request to convert various data associated with identification data into a predetermined format. A first conversion request is generated by pressing the first conversion request button displayed on the display screen of terminal 13. A second conversion request is generated by pressing the second conversion request button displayed on the display screen of terminal 13. If the server confirms that it has received the conversion request (Yes), it executes step S112. On the other hand, if it cannot confirm that it has received the conversion request (No), the server executes step S113.

[0070] Step S112: Server 11 executes data conversion processing. Specifically, upon receiving a first conversion request, Server 11 executes processing to convert noise data, etc., into data conforming to a predetermined format (for example, the format of the work environment measurement result report to be submitted to the Labor Standards Inspection Office). Also, upon receiving a second conversion request, Server 11 executes processing to convert health examination data into data conforming to a predetermined format (for example, the format of the special health examination report to be submitted to the Labor Standards Inspection Office). The converted data is stored as converted data linked to the identification data.

[0071] Step S113: Server 11 performs a process to check whether or not it has acquired the environment data. The environment data is sent from terminal 13 to server 11. If it is confirmed that the environmental data has been acquired (Yes), the server 11 executes step S114. On the other hand, if it is not confirmed that the environmental data has been acquired (No), the server 11 executes step S116.

[0072] Step S114: Server 11 executes a process to store environmental data in association with identification data. Step S115: Server 11 executes a noise reduction example data selection process. Specifically, Server 11 acquires environmental data related to the work environment and, based on the environmental data, executes a process to select noise reduction example data that is suitable for the work environment from among a predetermined set of noise reduction example data.

[0073] The following three examples of noise reduction measures are available: (E1) No noise reduction measures are necessary. (E2) Encourage the use of earplugs. (E3) Noise reduction measures are needed in the workplace.

[0074] For example, if none of the data included in the environmental data exceeds a predetermined threshold, then the measure described in (E1) above should be selected. If any one of the data points included in the environmental data exceeds a predetermined threshold, select the countermeasure (E2) described above. If two or more data points included in the environmental data exceed predetermined threshold values, select the countermeasure (E3) described above.

[0075] The selected noise reduction example data is then linked to the identification data and stored as selected noise reduction example data. This allows the administrator terminal 15 to view the noise reduction example data (selected noise reduction example data) selected by the server 11.

[0076] Step S116: Server 11 executes the input / editing function management process. Server 11 executes this process when it receives a request from terminal 13 to use the input / editing function. Server 11 has a function that allows input and editing of noise countermeasures generated based on hearing data and noise data, indicating that the amount of noise exposure accumulated per day has decreased (it is possible to input and edit the amount of noise exposure that has decreased over time via terminal 13). The amount of noise exposure accumulated per day can be the amount accumulated per day by shortening the work time. Regarding the input / editing function, a time schedule function may be added to prompt input and editing at predetermined intervals.

[0077] Furthermore, this process can be enhanced with a function to recalculate the expected noise exposure after implementing noise reduction measures based on the measured results. For example, if the measurement result is 90 dB, wearing earplugs with a 10 dB sound-insulating effect would result in 90 dB - 10 dB = 80 dB. By recalculating the permissible daily exposure amount in the simulation, it becomes possible to confirm a reduction in exposure.

[0078] Step S117: Server 11 performs the process of displaying hearing protection information. Server 11 executes this process when it receives a request from terminal 13 to display hearing protection information. Server 11 has a function to display information about appropriate hearing protection equipment (hearing protection equipment information; information for selecting, identifying, or distinguishing hearing protection equipment, etc.) related to noise countermeasures generated based on hearing data and noise data (it can execute a process to display hearing protection equipment information on terminal 13). Preferably, the hearing protection equipment information is the performance value of the hearing protection equipment (e.g., SNR value). Preferably, the hearing protection equipment information is the model information of the hearing protection equipment (e.g., information indicating the model of earplugs).

[0079] Whether or not noise countermeasures are necessary depends on the level of noise, but the main countermeasure is wearing hearing protection (earplugs). Earplugs vary in performance depending on the model, and their performance is indicated, for example, by the SNR value. If the performance is too low relative to the noise level, the risk of hearing loss increases, and if the performance is too high, information that detects danger, such as alarms, may not reach the ear. There are several methods for calculating the recommended SNR value depending on the level of noise, but this system is designed to perform this calculation automatically.

[0080] Furthermore, even if performance specifications such as "for noise levels below XdB" are displayed, only a limited number of people will understand this and be able to use earplugs that are actually appropriate for their noise environment. Therefore, it would be beneficial to include a function that directly suggests (displays) specific earplugs from specific manufacturers based on the noise environment. In this case, it would also be possible to include a function that creates an earplug database, sets countermeasure targets, and selects the optimal earplugs. When selecting earplugs, it is necessary to ensure a suitable working environment (an environment where alarms and verbal cues can be heard) in addition to hearing protection, as alarms must be audible even when wearing earplugs. This system can output countermeasures that take all of these comprehensive factors into consideration.

[0081] Step S118: Server 11 performs the estimated noise level storage process. When server 11 receives a request from terminal 13 to store the estimated noise level, it executes this process. Server 11 stores the estimated noise level, which is actually exposed to noise after the noise reduction measures have been taken and after the wearing of soundproofing equipment, linked to the identification data. The noise level can be estimated using a predetermined calculation formula.

[0082] Step S119: Server 11 executes the special value calculation process. Server 11 executes this process when it receives a special value calculation request from terminal 13. Server 11 has the function of calculating special values ​​related to exposure based on noise data, daily work time data indicating how much work a worker did in a day, and period data. The calculated special values ​​are stored linked to identification data.

[0083] Specifically, server 11 has the function of accumulating a value (energy amount) by multiplying the noise level by the time, based on three items: (1) the results measured by a sound level meter or noise exposure meter (for example, work A: noise level 90 dB, work B: noise level 92 dB, work C: noise level 87 dB), (2) a work shift schedule showing how much of the above (1) work a worker performed in a day, and (3) the years and months the worker has worked. The value for accumulation is determined by a permissible limit for the amount of exposure that can be tolerated per day, and the daily exposure amount is divided by the permissible limit and expressed as a percentage. This value is called the special value (DOSE), and this system has the function to calculate the special value using the above data (1) to (3).

[0084] Step S120: Server 11 executes noise reduction example data management processing. When server 11 receives a request from terminal 13 for noise reduction example data management, it executes this process. Server 11 can receive input regarding the degree of risk reduction foreseeable from the noise reduction example data (e.g., large, medium, small) and a record of the implementation of maintaining that reduction (e.g., continued, not continued). Server 11 can store the noise reduction example data, including the degree of risk reduction and the implementation record.

[0085] The noise reduction example data needs to be "examples of countermeasures suitable for the company's work environment." "Examples of countermeasures suitable for the company's work environment" include selecting earplugs with performance appropriate to the noise level (when the noise level exceeds a certain threshold) and implementing measures to reduce the noise level at the noise source (such as keeping workers away or enclosing the noise source with soundproof walls). As a result, the risk of noise-induced hearing loss is reduced, and it is important to manage and maintain these countermeasures on a daily basis. Therefore, in addition to "displaying noise reduction example data," this system also allows for "the degree of risk reduction foreseeable by the countermeasures" and "the input of records of implementation for maintaining that reduction." Once the above processing is complete, server 11 returns to the caller and continues processing. Upon returning to the caller, it returns to the main loop, so the server control processing is repeatedly executed as long as server 11 is running.

[0086] Figures 4 and 5 are flowcharts showing the flow of terminal control processing. This processing is executed by the control unit of terminal 13. This processing is incorporated into the main loop processing of the program of terminal 13. This processing is executed repeatedly while terminal 13 is operating. In addition, the following processing is common to both the worker terminal 14 and the administrator terminal 15. By standardizing the processing, the effort required for system implementation can be reduced. The details of the processing are explained below.

[0087] Step S201: Terminal 13 performs a process to check whether there is a viewing request. A viewing request is a request to view hearing data and noise data associated with identification data. A viewing request is generated by pressing the viewing request button displayed on the display screen of terminal 13. As a result, if it is confirmed that there is a viewing request (Yes), terminal 13 executes step S202. On the other hand, if it is not confirmed that there is a viewing request (No), server 11 executes step S203.

[0088] Step S202: Terminal 13 executes a process to view hearing data and noise data associated with the identification data. Specifically, terminal 13 requests server 11 to send hearing data and noise data associated with the identification data, receives the hearing data and noise data associated with the identification data from server 11, and executes a process to display the received data on terminal 13's display screen.

[0089] When viewing hearing data and noise data on the worker terminal 14, the worker can view hearing data and noise data linked to the identification data (worker ID) entered during login. When viewing hearing data and noise data on the administrator terminal 15, it is possible to view hearing data and noise data linked to the identification data (administrator ID) entered during login, or to view hearing data and noise data linked to separately specified identification data (worker ID).

[0090] Step S203: Terminal 13 executes a process to check whether there are any data viewing requests. Various data viewing requests are requests to view various data (including hearing data and noise data) associated with identification data. Various data viewing requests are generated by pressing the various data viewing request button displayed on the display screen of terminal 13. As a result, if it is confirmed that there are requests to view various data (Yes), terminal 13 executes step S204. On the other hand, if it is not confirmed that there are requests to view various data (No), server 11 executes step S206.

[0091] Step S204: Terminal 13 executes a process to confirm whether or not it is a worker terminal. Whether or not it is a worker terminal or an administrator terminal can be determined by the identification data entered during login (the same applies hereafter). As a result, if it is confirmed that it is a worker terminal (Yes), terminal 13 executes step S205. On the other hand, if it is not confirmed that it is a worker terminal (No), server 11 executes step S206.

[0092] Step S205: Terminal 13 executes a process to view various data associated with the identification data. Specifically, terminal 13 requests server 11 to send various data associated with the identification data, receives the various data associated with the identification data from server 11, and executes a process to display the received data on terminal 13's display screen.

[0093] Step S206: Terminal 13 executes a process to check whether there is a request to view noise control data. A request to view noise control data is a request to view noise control data associated with identification data. A request to view noise control data is generated by pressing the "Request to view noise control data" button displayed on the display screen of terminal 13. As a result, if it is confirmed that there is a request to view noise reduction data (Yes), terminal 13 executes step S207. On the other hand, if it is not confirmed that there is a request to view noise reduction data (No), terminal 13 moves to the out-of-page connector (B) and executes step S209 (Figure 5).

[0094] Step S207: Terminal 13 performs a process to check whether or not it is an administrator terminal. As a result, if it is confirmed that it is an administrator terminal (Yes), terminal 13 executes step S208. On the other hand, if it is not confirmed that it is an administrator terminal (No), terminal 13 moves to the out-of-page connector (B) and executes step S209 (Figure 5).

[0095] Step S208: Terminal 13 executes a process to view noise control data linked to identification data in a way that does not identify the worker. Specifically, terminal 13 requests server 11 to send noise control data linked to identification data, receives the noise control data linked to identification data from server 11, and executes a process to display the received data on terminal 13's display screen. In this case, the noise control data displayed is not the noise control data linked to the administrator ID, but the noise control data linked to the worker ID. However, since the worker ID is not displayed, it is not possible to identify the worker by looking at the noise control data. The noise control data may display all data stored on the server, or it may display only some of the data. The noise control data presented here can serve as documentation for companies to demonstrate to labor standards inspectors, for example, that they have taken sufficient noise control measures. Furthermore, it serves as important evidence for companies demonstrating that appropriate measures were in place when workers' compensation claims are being processed. After completing the process in step S208, terminal 13 moves to the out-of-page connector (B) and executes step S209 (Figure 5).

[0096] Step S209: Terminal 13 executes a process to check whether there is a request to view noise control data. A request to view noise control data is a request to view noise control data associated with identification data. A request to view noise control data is generated by pressing the "Request to view noise control data" button displayed on the display screen of terminal 13. As a result, if it is confirmed that there is a request to view noise reduction data (Yes), terminal 13 executes step S210. On the other hand, if it is not confirmed that there is a request to view noise reduction data (No), terminal 13 executes step S214.

[0097] Step S210: Terminal 13 performs a process to check whether or not it is an administrator terminal. If it is confirmed that the terminal is an administrator terminal (Yes), terminal 13 executes step S211. On the other hand, if it is not confirmed that the terminal is an administrator terminal (No), terminal 13 executes step S214.

[0098] Step S211: Terminal 13 executes a process to view noise reduction example data associated with the identification data. Specifically, terminal 13 requests server 11 to send noise reduction example data associated with the identification data, receives the noise reduction example data associated with the identification data from server 11, and executes a process to display the received data on terminal 13's display screen. In this case, the noise reduction example data displayed is not the noise reduction example data associated with the administrator ID, but rather the noise reduction example data associated with the worker ID. The noise reduction example data may display all the data stored on the server, or it may display only some of the data.

[0099] Step S212: Terminal 13 executes a process to check whether there are any data output requests. Various data output requests are requests to output various data stored on the server. Various data output requests are generated by pressing the various data output request buttons displayed on the display screen of terminal 13. If it is confirmed that there are various data output requests (Yes), terminal 13 executes step S213. On the other hand, if it is not confirmed that there are various data output requests (No), terminal 13 executes step S214.

[0100] Step S213: Terminal 13 executes a process to output various data (paper output, data output). The data that can be output differs depending on whether it is a worker terminal or an administrator terminal. Basically, the data that can be output is the data that can be viewed on each terminal. In addition, if it is an administrator terminal, it is also possible to output the data that can be viewed, along with the results of risk assessments, risk control results, risk control measures, and information related to risk management, as risk assessment information and risk management information.

[0101] Step S214: Terminal 13 performs a process to check whether there are any other requests. Other requests are requests to send other requests to the server. Other requests are generated by pressing the Other Requests button displayed on the display screen of Terminal 13. Other requests include at least one of the following requests: "Request to use input / editing function", "Request to display hearing protection device information", "Request to calculate special values", "Request to store estimated noise level", and "Request to manage noise countermeasure example data". At least one request can be selected on the display screen of Terminal 13. If it confirms that there are other requests (Yes), terminal 13 executes step S215. On the other hand, if it does not confirm that there are other requests (No), terminal 13 returns to the caller and continues processing.

[0102] Step S215: Terminal 13 performs the process of sending other requests to the server. Once the above processing is complete, terminal 13 returns to the caller and continues processing. Upon returning to the caller, it returns to the main loop, so as long as terminal 13 is running, the terminal control processing is executed repeatedly.

[0103] Figure 6 shows the contents of the data stored on the server. The data stored on the server includes "hearing data," "noise data," "management classification data," "noise countermeasure data," "health check data," "environmental data," "judgment result data," "converted data," "selected noise countermeasure example data," "estimated noise level," and "special values." This data is linked to "identification data (worker ID) = 00001." Note that if the worker is different, the identification data (worker ID = 00002, etc.) and the data stored will also be different.

[0104] The specific data for the worker corresponding to [Identification Data (Worker ID) = 00001] is as follows. Note that alphanumeric data will contain one or more specific numerical values. [Data from [Year] [Month] [Day]] "Hearing data": A1 "Noise Data": B1 "Management Classification Data": 1 "Noise Reduction Data": T1 "Health checkup data": K1 "Environmental data": S1 "Judgment Result Data": J1 "Converted data": F1 "Selected Noise Reduction Measures Example Data": E1 "Estimated noise level": G1 "Special value": X1

[0105] [Data from △△△△ year △△ month △△ day] "Hearing data": A2 "Noise Data": B2 "Management Classification Data": 2 "Noise Reduction Data": T2 "Health checkup data": K2 "Environmental data": S2 "Judgment Result Data": J2 "Converted data": F2 "Selected Noise Reduction Examples Data": E2 "Estimated noise level": G2 "Special value": X2

[0106] [Data from [Year] [Month] [Day]] "Hearing Data": A3 "Noise Data": B3 "Management Classification Data": 3 "Noise Reduction Data": T3 "Health checkup data": K3 "Environmental data": S3 "Judgment Result Data": J3 "Converted data": F3 "Selected Noise Reduction Examples Data": E3 "Estimated noise level": G3 "Special value": X3

[0107] In this way, all of this data is stored by the server in chronological order. Note that it may not be possible to store all the data on a specific day (for example, on [date] in (1)), but in that case, there will be no data that could not be stored.

[0108] Figure 7 shows an example of how the data management system 10 of the embodiment can be used. In this example, the data management system 10 is used through six steps, from step 1 to step 6. Each step will be explained in order below.

[0109] [Step 1 (S1)] In the first step, the calibration results of the sound level meter 91 and noise exposure meter 92 are read, the setting values ​​for the sound level meter 91 and noise exposure meter 92 are written, and the measurement results of the sound level meter 91 and noise exposure meter 92 are read. Then, the process items of the work at the measurement site (workplace) are entered and linked to each result.

[0110] Specifically, 50 measurement personnel (at least one of the following: safety manager, health manager, or member of the in-house safety and health committee) use a sound level meter 91 to perform A measurement and B measurement, and transmit the measurement data (noise data) to the server via terminal 13. Additionally, worker 30 uses a noise exposure meter 92 to measure C and transmits the measurement data (noise data) to the server via terminal 13. The measurement data is linked to the identification data 30a and stored on the server.

[0111] [Step 2 (S2)] In the second step, the results of the risk assessment, based on the measurement results, are printed on the designated report. Specifically, the measurement data is converted into a Work Environment Measurement Results Report 93, which can then be printed and submitted to the Labor Standards Inspection Office. The Work Environment Measurement Results Report 93 can include the results of a risk assessment.

[0112] [Step 3 (S3)] In the third step, materials for discussing the second step and risk control measures in an internal meeting are output, and the results of the risk control measures are input (determined). In the third step, for example, detailed measurement results are output, and examples of countermeasures are proposed.

[0113] Specifically, based on the risk assessment information 94 (information based on various data stored on the server) output by terminal 13, the company's safety and health committee 60 decides on preventive measures. These preventive measures may include, for example, the wearing of earplugs 95 or improvements to the workplace. Based on the decided preventive measures, noise countermeasures are implemented in the workplace and for the workers 30. The results of the risk control (noise reduction data) are transmitted to the server via terminal 13 and stored in association with the identification data 30a.

[0114] [Step 4 (S4)] In the fourth step, the threshold measurement results with and without earplugs using the audiometer 96 are read, the worker identification data 30a is read, and the data is linked.

[0115] Specifically, the occupational health nurse 41 confirms the effectiveness of the earplugs 95, provides education on how to wear them and how long to wear them, and transmits the implementation record (health checkup data) to the server via terminal 13. Furthermore, a medical professional 40 (industrial physician) measures hearing using an audiometer 96 and transmits the hearing test results (hearing data, health checkup data) to the server via terminal 13. This data is linked to identification data 30a and stored on the server.

[0116] [Step 5 (S5)] In step 5, you can use the function to output the specific health checkup report. Specifically, various data stored on the server are converted into a Special Health Examination Report 97, which can then be printed and submitted to the Labor Standards Inspection Office.

[0117] [Step 6 (S6)] In step 6, you can use the search function to view your personal history. Specifically, risk management information 98 (information based on various data stored on the server) is created based on various data stored on the server, and the company's safety and health committee 60, safety managers, and health managers check the history of the workers 30. By following these steps, noise-induced disturbances to the 30 workers can be effectively prevented.

[0118] As described above, this embodiment has the following advantages. (1) According to this embodiment, the terminal 13 can view the hearing data 81 and noise data 82 linked to the identification data 30a stored in the server 11. Therefore, the hearing data 81 and noise data 82 can be compared to check the condition of the worker's hearing, and as a result, an appropriate system for preventing noise-induced disorders can be provided.

[0119] (2) According to this embodiment, the server 11 stores the hearing data 81 and the noise data 82 in chronological order, so that the condition of the worker's ears can be checked while taking into account the temporal changes in the hearing data 81 and the noise data 82.

[0120] (3) According to this embodiment, by including not only noise meter data but also noise exposure meter data in the noise data 82, the hearing condition of workers, etc. can be confirmed based on a lot of information.

[0121] (4) According to this embodiment, the exposure of workers during the period they are engaged in work at the workplace can be accurately determined.

[0122] (5) According to this embodiment, the server 11 classifies the noise data 82 based on predetermined classification data, thereby automating the classification of the noise data 82 and improving convenience. Furthermore, the noise data 82 can be automatically classified into noise management classifications defined by the Ministry of Health, Labour and Welfare.

[0123] (6) According to this embodiment, it is possible to easily determine that the amount of noise exposure has decreased.

[0124] (7) According to this embodiment, information regarding soundproofing protective equipment can be easily obtained. (8) According to this embodiment, the performance values ​​of hearing protection equipment can be understood and appropriate hearing protection equipment can be easily selected. In addition, the server 11 displays the appropriate performance of earplugs according to the noise level, so that managers and workers do not have to worry when selecting earplugs. (9) According to this embodiment, the type information of the hearing protection equipment can be grasped and the appropriate hearing protection equipment can be easily selected. In addition, the server 11 displays specific earplug type information according to the noise level, so that managers and workers do not get confused when selecting earplugs.

[0125] (10) According to this embodiment, not only hearing data 81 and noise data 82, but also noise countermeasure data is stored linked to the identification data, so it is possible to confirm whether or not the noise countermeasures are appropriate based on a large amount of data. In addition, the company can store the results of a series of actions, including risk extraction, evaluation, control, and confirmation of residual risk.

[0126] (11) According to this embodiment, the estimated noise level can also be linked to and managed with the identification data.

[0127] (12) According to the embodiment, the effectiveness of noise control measures can be automatically confirmed in order to determine whether or not noise control measures are functioning properly. In addition, it is possible to check whether or not risk control (noise control measures) is functioning appropriately based on the results of the health check.

[0128] (13) According to this embodiment, the server 11 can convert health check data into data that conforms to a predetermined format, thus automating the data conversion process and improving convenience. In addition, the health check results can be automatically generated in the format used by the Labor Standards Inspection Office.

[0129] (14) According to this embodiment, the worker terminal 14 can view data linked to the identification data 30a corresponding to the worker, so that the worker can check the condition of their ears at any time. In addition, even if the worker changes workplaces or employers, they can continue to have records such as noise exposure meter data (for example, they can be viewed with an application on a portable information processing terminal).

[0130] (15) According to this embodiment, since it has a function to automatically calculate special values ​​related to exposure, convenience can be improved.

[0131] (16) According to this embodiment, the administrator terminal 15 can view the noise countermeasure data linked to the identification data 30a in a state that does not identify the worker, so that the administrator can consider noise countermeasures while protecting the personal information of the workers. In addition, the noise countermeasure data is anonymized and the results can be viewed by the company's safety manager, etc.

[0132] (17) According to this embodiment, the administrator terminal 15 can view the countermeasure example data selected by the server 11, thereby automating the selection of noise countermeasure example data and improving convenience. In addition, countermeasure examples suitable for the company's work environment are displayed.

[0133] (18) According to this embodiment, information associated with noise reduction example data can be managed and maintained on a daily basis.

[0134] [Transformed form] The present invention can be implemented in various ways without being limited to the embodiments described above. (1) The data stored in server 11 may not be stored in chronological order, but rather overwritten. (2) The noise data 82 may include only noise meter data, or it may include only noise exposure meter data.

[0135] (3) Although the example described shows that the worker terminal 14 and the administrator terminal 15 perform common processing, they may each perform dedicated processing (different processing). (4) The terminal control processing program was described using an example of a type that is installed and executed on terminal 13, but it may also be a type that runs on the web or a type that runs on the cloud.

[0136] (5) The identification data was explained using the example of the worker ID written on the employee ID card, but it may also be the personal identification number written on the personal identification card. (6) The various data stored on the server may be stored not by date, but by assigning date and time information to the data in the order in which it was received.

[0137] (7) The usage example shown in Figure 7 is merely an example of how to use the data management system, and the present invention is not limited thereto. For example, a system can be created that employs only a part of the usage example shown in Figure 7, or a system can be created that modifies a part of the usage example shown in Figure 7.

[0138] (8) In the embodiments described above, the example was explained in which the server stores hearing data and noise data, etc., linked to identification data that identifies the worker. However, a terminal (an application installed on the terminal, etc.) may also store hearing data and noise data linked to identification data that identifies the worker. In this way, noise data stored on each company's local server, or data stored on a local server by a medical examination institution, can be imported into, for example, a terminal (application) owned by an individual, and viewed on that individual's terminal. In this case, at least some of the functions of the server (functions to store hearing data and noise data in chronological order, functions to categorize noise data, input and editing functions, functions to display hearing protection equipment information, functions to store noise countermeasures data, functions to store estimated noise levels, functions to determine whether noise countermeasures are functioning properly, functions to convert data, etc.) may be transferred to the terminal, and the terminal may execute some or all of these functions. [Explanation of symbols]

[0139] 10 Data Management Systems 11 servers 12 Networks 13 devices 14. Worker terminals 15 Administrator terminal 20 Workshop 30 workers 30a Identification data 40 Healthcare workers 41. Occupational Health Nurse 50 Measurement personnel 60. Company Safety and Health Committee 71 1st measuring device 72 Second measuring device 73 Third measuring device 75 4th measuring instrument 81 Hearing Data 82 Noise Data 83 Health checkup data 84 Noise Reduction Data 85 Environmental Data 91 Sound level meter 92 Noise exposure meter 93 Working environment measurement results report 94. Risk Assessment Information 95 Earplugs 96 Audiometer 97 Special Health Examination Report 98 Risk Management Information

Claims

1. A data management system for managing data related to workers who work in workplaces where noise is generated, Server and The server comprises a terminal connected via a network, The server acquires hearing data obtained by measuring the hearing of the worker, and acquires noise data obtained by measuring the noise level in the workplace. The server or terminal stores the hearing data and noise data in association with identification data that identifies the worker. The terminal is capable of viewing the hearing data and noise data associated with the identification data stored on the server or the terminal. The server or terminal has a function to display information regarding appropriate hearing protection equipment for noise countermeasures, which is generated based on the hearing data and the noise data. A data management system characterized in that the information relating to the aforementioned hearing protection equipment includes model information of the hearing protection equipment.

2. A data management system for managing data related to workers who work in workplaces where noise is generated, Server and The server comprises a terminal connected via a network, The server acquires hearing data obtained by measuring the hearing of the worker, and acquires noise data obtained by measuring the noise level in the workplace. The server or terminal stores the hearing data and noise data in association with identification data that identifies the worker. The terminal is capable of viewing the hearing data and noise data associated with the identification data stored on the server or the terminal. The server or terminal has a function that allows input and editing of noise countermeasures generated based on the hearing data and noise data, indicating that the cumulative amount of noise exposure per day has decreased. A data management system characterized in that the server or terminal stores, in association with the identification data, the classification of the noise data that has changed after the noise countermeasures have been implemented and the estimated noise level to which the person is actually exposed due to the wearing of soundproof protective equipment.

3. In the data management system according to claim 1 or 2, A data management system characterized in that the server or terminal stores the hearing data and the noise data in chronological order.

4. In the data management system according to claim 1 or 2, The data management system is characterized in that the noise data includes noise meter data obtained by a noise meter and noise exposure meter data obtained by a noise exposure meter.

5. In the data management system according to claim 4, A data management system characterized in that the noise data includes the noise exposure meter data of the worker and period data for the period during which the worker was engaged in work at the workplace.

6. In the data management system according to any one of claims 1 to 5, A data management system characterized in that the server or terminal categorizes the noise data based on predetermined categories of data.

7. In the data management system according to claim 1, A data management system characterized in that the information relating to the aforementioned hearing protection equipment includes performance values ​​of the hearing protection equipment.

8. In the data management system according to any one of claims 1 to 7, A data management system characterized in that the server or terminal stores noise countermeasure data related to noise countermeasures, generated based on the hearing data and the noise data, linked to the identification data.

9. In the data management system according to any one of claims 1 to 8, A data management system characterized in that the server or terminal acquires health examination data relating to the results of the health examination of the worker, and determines whether the noise countermeasures are functioning properly by comparing the health examination data with the hearing data.

10. In the data management system according to claim 9, A data management system characterized in that the server or terminal is capable of converting the health checkup data into data conforming to a predetermined format.

11. In the data management system according to any one of claims 1 to 10, The terminal includes a worker terminal used by the worker, The data management system is characterized in that the worker terminal can view data linked to the identification data corresponding to the worker.

12. In the data management system according to claim 5, A data management system characterized in that the server or terminal has a function to calculate special values ​​related to exposure based on the noise data, daily work time data indicating how much work the worker performed in a day, and period data.

13. In the data management system according to claim 8, The terminals include administrator terminals used by the administrator of the server. The data management system is characterized in that the administrator terminal can view the noise control data linked to the identification data in a manner that does not identify the worker.

14. In the data management system according to any one of claims 1 to 13, The terminals include administrator terminals used by the administrator of the server. The server acquires environmental data relating to the environment of the workplace, and based on the environmental data, selects noise reduction example data suitable for the environment of the workplace from among a predetermined set of noise reduction example data. The data management system is characterized in that the administrator terminal can view the noise reduction example data selected by the server.

15. In the data management system according to claim 14, A data management system characterized in that it is possible to input to the server the degree of risk reduction foreseeable from the noise reduction example data, and records of the implementation of measures to maintain that reduction.

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