JP7495223B2 - Information processing system and information processing method - Google Patents

Description

The present invention relates to an information processing system and an information processing method.

Generally, at manufacturing sites, construction sites, and other workplaces, KYK (hazard prediction activities) and morning meetings are conducted as part of efforts to prevent accidents. However, predicting unexpected accidents is extremely difficult. Even if such warnings are issued to all workers, some of the information may not be necessary for each worker. Therefore, a technology has been developed to manage occupational safety and health by presenting each worker with a checklist related to occupational safety and health and having them enter their answers (see, for example, Patent Document 1).

Japanese Patent No. 6550184

The technology described in Patent Document 1 has the problem that it is not possible to provide individual workers with warnings based on past accident cases for the tasks they are about to perform.

The object of the present invention is to provide an information processing system and information processing method that can warn each worker about the work they are about to perform based on past accident cases.

The information processing system of the present invention comprises:
a first database that stores worker data indicating attributes of a worker, including worker identification information for identifying the worker, and a work process of the worker;
a second database that stores accident data relating to accidents that have occurred in the past;
an input unit for inputting information based on an operation received from an external device;
a search unit that searches the first database for the worker data based on the worker identification information among the information input by the input unit;
a reading unit that reads the accident data from the second database based on the worker data searched by the search unit;
and an output unit that outputs output information based on the accident data read by the read unit.

The information processing method of the present invention further comprises:
a process of searching for worker data indicating attributes of a worker including worker identification information for identifying a worker and a work process of the worker from a first database that stores the worker data, based on the worker identification information for identifying the worker among information input based on an operation received from outside;
A process of reading out accident data relating to accidents that have occurred in the past from a second database that stores the accident data, based on the retrieved worker data;
and outputting output information based on the read accident data.

In this invention, it is possible to warn each worker about the work they are about to perform based on past accident cases.

1 is a diagram showing a first embodiment of an information processing system according to the present invention; 2 is a diagram showing an example of worker data stored in a worker database shown in FIG. 1 . FIG. 2 is a diagram showing an example of accident data stored in the accident database shown in FIG. 1 . 2 is a flowchart illustrating an example of an information processing method in the information processing system illustrated in FIG. 1 . 1. FIG. 4 is a diagram showing a first example of a manner in which the output unit 600 shown in FIG. 1 outputs output information. 1. FIG. 4 is a diagram showing a second example of a manner in which the output unit 600 shown in FIG. 1 outputs output information. 1. FIG. 9 is a diagram showing a third example of a manner in which the output unit 600 shown in FIG. 1 outputs output information. FIG. 11 is a diagram showing a second embodiment of an information processing system according to the present invention. 9 is a flowchart for explaining an example of an information processing method in the information processing system shown in FIG. 8 . 9 is a diagram showing an example of a manner in which the output unit shown in FIG. 8 outputs output information. FIG. FIG. 13 is a diagram illustrating a third embodiment of an information processing system according to the present invention. 12 is a diagram showing an example of proposed information stored in a proposed information database shown in FIG. 11 . FIG. 12 is a flowchart illustrating an example of an information processing method in the information processing system illustrated in FIG. 11 . FIG. 13 is a diagram showing an example of a screen displayed by an output unit in step S23.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
(First embodiment)

Figure 1 is a diagram showing a first embodiment of the information processing system of the present invention. As shown in Figure 1, the information processing system in this embodiment has a worker database 100, an accident database 200, an input unit 300, a search unit 400, a read unit 500, and an output unit 600.

The worker database 100 is a first database that stores worker data indicating the attributes of the worker and the work process of the worker. Figure 2 is a diagram showing an example of the worker data stored in the worker database 100 shown in Figure 1.

As shown in FIG. 2, the worker database 100 shown in FIG. 1 stores worker identification information, gender, age, years of experience, work process, and today's work content in association with each other. The worker identification information, gender, age, and years of experience are information indicating the attributes of the worker. The worker identification information is information that is uniquely assigned to each worker in advance to identify the worker. The worker identification information may be, for example, a combination of alphanumeric characters, as long as it can be distinguished from other workers. The gender is the gender of the worker, and is stored in advance together with the worker identification information. The age is the age of the worker, which is stored when the worker identification information is registered and is incremented over the years. The years of experience is the number of years of work experience of the worker, which is stored when the worker identification information is registered and is incremented over the years. The attributes of the worker as described above may include items other than those shown in FIG. 2. For example, the attributes of the worker may include "job type". The job type is information indicating the type of work classified according to the work content, such as scaffolding, formwork, and reinforcing bar work. The work process indicates the work process that the worker is in charge of among multiple work processes preset in the schedule. Today's work content indicates the work content that the worker plans to perform on that day. Today's work content is updated when the work is completed. The schedule including the entire work process and the work content is stored and managed separately, for example, in another database (for example, the accident database 200). Information (search key) that allows the worker's work process to be searched from the schedule is the work process stored in the worker database 100. Today's work content is updated by the worker inputting the progress status, such as whether or not "today's work content" has been completed, into the input unit 300 after the work is completed. The work content may be updated by the system administrator or maintenance person based on the input from the worker after the work is completed.

For example, as shown in FIG. 2, worker database 100 stores worker identification information "10000001", gender "male", age "45", years of experience "20", work process "C-5", and today's work content "final assembly" in association with each other. This indicates that the worker assigned worker identification information "10000001" is male, 45 years old, has 20 years of experience, the work process is C-5, and today's work content is scheduled to be final assembly. In addition, worker identification information "11000003", gender "male", age "28", years of experience "6", work process "A-1", and today's work content "material delivery" are stored in association with each other. This indicates that the worker to whom the worker identification information "11000003" is assigned is male, is 28 years old, has 6 years of experience, is in the A-1 work process, and that today's work is scheduled to be a material delivery. In addition, the worker identification information "50100002", the gender "female", the age "32", the years of experience "14", the work process "D-3", and today's work "durability test" are stored in association with each other. This indicates that the worker to whom the worker identification information "50100002" is assigned is female, is 32 years old, has 14 years of experience, is in the D-3 work process, and that today's work is scheduled to be a durability test. In addition, the worker identification information "51100030", the gender "female", the age "20", the years of experience "2", the work process "A-1", and today's work "inspection work" are stored in association with each other. This indicates that the worker assigned the worker identification information "51100030" is female, 20 years old, has two years of experience, is in the A-1 work process, and is scheduled to perform inspection work today.

The accident database 200 is a second database that stores accident data related to accidents that have occurred in the past. Figure 3 shows an example of accident data stored in the accident database 200 shown in Figure 1.

As shown in FIG. 3, the accident database 200 shown in FIG. 1 stores the date of occurrence, time, weather, worker information (gender and age group of the worker), work process, work content, and accident content in association with each other. In addition, a number (No.) is assigned to each association to identify the accident. The date of occurrence indicates the date on which the accident occurred. The time indicates the time on which the accident occurred. The weather indicates the weather at the time of the accident. The gender and age group of the worker information indicate the gender and age group of the worker who caused the accident. The work process indicates which work process the accident occurred in. The work content indicates the content of the work the worker was performing when the accident occurred. The accident content indicates the content of the accident that occurred. In addition to the weather on the day the accident occurred, other environmental data such as temperature and humidity may also be stored.

For example, as shown in FIG. 3, the accident database 200 stores the date of occurrence "20101021", the time "16:00", the weather "rain", the gender of the worker information "male", the age group of the worker information "30s", the work process "A-1", the work content "delivery of materials", and the accident content "right foot injury due to falling materials" in association with each other. This indicates that at 16:00 on October 21, 2010, when it was raining, a male worker in his 30s was delivering materials for the A-1 work process when he dropped materials and injured his right foot. In addition, the date of occurrence "20171219", the time "10:30", the weather "sunny", the gender of the worker information "male", the age group of the worker information "40s", the work process "C-5", the work content "assembly", and the accident content "index finger injury due to finger getting caught in a part" in association with each other. This shows that at 10:30 on December 19, 2017, when it was sunny, a male worker in his 40s was assembling the C-5 work process when an accident occurred in which his index finger was pinched in a part and injured. In this way, the accident database 200 stores a list of data on accidents that have occurred in the past. In addition to the items shown in FIG. 3, the accident database 200 may also store items that can be compared with the worker data stored in the worker database 100, such as the worker's years of experience.

The input unit 300 inputs information based on operations received from outside. The input unit 300 may be a general PC (Personal Computer) or a mobile terminal device, and may be anything that allows a worker to input information according to an operation by operating a keyboard, mouse, operation keys, touch panel, etc. from outside. The input unit 300 may also be realized using a card reader that reads worker identification information written on an ID card held up by a worker to manage clock-in/clock-out and entry/exit. In this case, the card reader reads information related to work, such as the worker identification information written on the ID card, from the ID card.

The search unit 400 searches the worker database 100 for worker data based on the worker identification information for identifying the worker among the information input by the input unit 300. For example, if the worker data shown in FIG. 2 is stored in the worker database 100 and the worker identification information input by the input unit 300 is "10000001", the search unit 400 searches the worker database 100 for worker data associated with the worker identification information "10000001".

The reading unit 500 reads out the accident data from the accident database 200 based on the worker data searched by the search unit 400. The reading unit 500 also reads out the accident data from the accident database 200 based on the worker data searched by the search unit 400 and the environmental data indicating the environment of the day. Here, the environmental data is data indicating the current (day's) work environment, and is data indicating the weather, temperature, humidity, season, etc. The environmental data may be stored in another database. When the other database stores weather data, it may be a database that acquires information from a site that provides weather information at any time and stores the acquired weather information. At this time, the reading unit 500 compares the items indicated by the worker data and the items indicated by the environmental data searched by the search unit 400 with the items indicated by the accident data, and reads out the accident data having items that match each other from the accident database 200. Specifically, the reading unit 500 reads out from the accident database 200 the accident data including at least one item whose contents match the contents of each item of the worker data searched by the search unit 400 and the contents of each item of the environmental data. For example, when the worker data searched by the search unit 400 among the worker data shown in FIG. 2 is the worker data of the worker identification information "10000001", the accident data shown in FIG. 3 is stored in the accident database 200, and the weather on that day is sunny, the reading unit 500 finds that the gender "male" of the worker data of the worker identification information "10000001" shown in FIG. 2 matches the gender "male" of the worker in the accident data No. 1 and No. 2 shown in FIG. 3. Therefore, the reading unit 500 reads out the accident data No. 1 and the accident data No. 2 from the accident database 200. The items compared by the reading unit 500 do not have to be all of the worker data items searched by the search unit 400 and the accident data items stored in the accident database 200, but may be any of those items. The same applies to the environmental data items. Furthermore, environmental data may be excluded from the comparison items.

Furthermore, the reading unit 500 counts the number of the above-mentioned matching items as a score. When each item of the worker data of the worker identification information "10000001" and the environmental data (weather in this case) are compared with each item of the accident data of No. 1, only the gender of the worker matches each other. Therefore, the reading unit 500 sets the score for the accident data of No. 1 to "1". Furthermore, when each item of the worker data of the worker identification information "10000001" and the environmental data (weather in this case) are compared with each item of the accident data of No. 2, the weather, the gender of the worker, the age group, the work process, and the work content match each other. Therefore, the reading unit 500 sets the score for the accident data of No. 2 to "5". Note that the reading unit 500 may count the score taking into account the weighting preset according to the item. In other words, even if the number of matching items is "5," if the weather matches, it could be "1," if the gender of the worker matches, it could be "0.5," if the age group matches, it could be "0.8," if the work process matches, it could be "1," and if the work content matches, it could be "1.2," and the total of these could be counted as "4.5" as the score.

The output unit 600 outputs output information based on the accident data read by the read unit 500. This output information may be the accident data itself, or may indicate the details of the accident. Furthermore, this output information may be information that calls attention so as to prevent the accident indicated by the accident data from occurring (recurring). In this case, the information that calls attention may be stored in the accident database 200 in association with the details of the accident. The output unit 600 may output the output information in descending order of score, or may output the accident data with a higher score with more emphasis than the output information based on the other accident data. Furthermore, the output unit 600 may output a predetermined number of pieces of output information in descending order of score, or may output output information based on accident data whose score exceeds a predetermined threshold. The output unit 600 outputs the output information to the outside by display, audio output, printing, etc.

The following describes an information processing method in the information processing system shown in FIG. 1. FIG. 4 is a flowchart for explaining an example of an information processing method in the information processing system shown in FIG. 1.

First, when the input unit 300 inputs information including worker identification information based on an operation received from the outside (step S1), the search unit 400 searches the worker data from the worker database 100 based on the input worker identification information (step S2). Then, the read unit 500 compares the environmental data and the worker data searched by the search unit 400 with the accident data stored in the accident database 200 (step S3). As a result of the comparison, the read unit 500 determines whether there are any items that match between the environmental data and the worker data searched by the search unit 400 and the accident data stored in the accident database 200 (step S4). If there are any items that match, the read unit 500 reads the accident data that contains that item from the accident database 200 (step S5). The read unit 500 also counts the score of the accident data according to the number of items that match (step S6). After that, the output unit 600 outputs the accident data (output information) according to the score (step S7).

Below, some examples of output modes in step S7 are given. In the following examples, the output unit 600 is mounted on an output device 610 that displays information. The output device 610 has a display function and may be provided on a device where the worker inputs worker identification information, may be a display device installed in a position where the worker can view the screen before performing work, or may be a display device such as a mobile terminal carried by the worker.

Figure 5 is a diagram showing a first example of the manner in which the output unit 600 shown in Figure 1 outputs output information. As shown in Figure 5, the output device 610 displays multiple pieces of output information showing accident data. Here, the case is shown in which the accident data on December 15, 2015 has the highest score, followed by the accident data on August 20, 2009, which has the next highest score, and the accident data on September 8, 2019. In this way, the output device 610 displays the accident data as output information in descending order of score.

Figure 6 is a diagram showing a second example of the manner in which the output unit 600 shown in Figure 1 outputs output information. As shown in Figure 6, the output device 610 displays only one piece of output information indicating accident data. In this case, the output device 610 displays only the accident data with the highest score whose item contents match the environmental data and worker data.

Figure 7 is a diagram showing a third example of the manner in which the output unit 600 shown in Figure 1 outputs output information. As shown in Figure 7, the output device 610 displays multiple pieces of information to warn users not to cause (reoccurrence of) an accident indicated by accident data whose item contents match the environmental data and worker data.

In this way, past accident data is extracted for each worker based on the worker's attributes and the environment at the time, and output information corresponding to the extracted accident data is output. Therefore, it is possible to alert each worker based on past accident cases in the work that each worker will be performing.
Second Embodiment

Figure 8 is a diagram showing a second embodiment of the information processing system of the present invention. As shown in Figure 8, the information processing system in this embodiment has a worker database 100, an accident database 200, an input unit 300, a search unit 400, a readout unit 500, an output unit 601, and a detection unit 701. The worker database 100, the accident database 200, the input unit 300, the search unit 400, and the readout unit 500 are the same as those in the first embodiment shown in Figure 1.

The detection unit 701 detects that a worker has arrived at a work location where the worker will perform work. For example, the detection unit 701 may be a card reader installed at the work location where the worker will perform work, and which reads the worker identification information written on the ID card when the worker holds the ID card over the work location when the worker enters the work location. The detection unit 701 may also be an IC tag reader installed at the work location where the worker will perform work, which reads the worker identification information written on an IC tag carried by the worker to detect the worker. The detection unit 701 may also be mounted on an unmanned aerial vehicle such as a drone, which tracks the worker and detects the worker's arrival at the work location where the worker will perform work.

In addition to the functions of the output unit 600 in the first embodiment shown in FIG. 1, the output unit 601 outputs output information when the detection unit 701 detects that the worker has arrived at the work site. Since the worker needs to see the output information output by the output unit 601, the output unit 601 is provided in an output device installed at the work site or a mobile terminal device carried by the worker.

Below, an information processing method in the information processing system shown in FIG. 8 is described. FIG. 9 is a flowchart for explaining an example of an information processing method in the information processing system shown in FIG. 8.

First, when the input unit 300 inputs information including worker identification information based on an operation received from the outside (step S11), the search unit 400 searches the worker data from the worker database 100 based on the input worker identification information (step S12). Then, the read unit 500 compares the environmental data and the worker data searched by the search unit 400 with the accident data stored in the accident database 200 (step S13). As a result of the comparison, the read unit 500 determines whether there are any items that match between the environmental data and the worker data searched by the search unit 400 and the accident data stored in the accident database 200 (step S14). If there are any items that match, the read unit 500 reads the accident data that contains that item from the accident database 200 (step S15). The read unit 500 also counts the score of the accident data according to the number of items that match (step S16).

After that, when the detection unit 701 detects that the worker has arrived at the work location (step S17), the output unit 601 outputs accident data (output information) according to the score (step S18).

Figure 10 is a diagram showing an example of the manner in which the output unit 601 shown in Figure 8 outputs output information. As shown in Figure 10, the output device 611 equipped with the output unit 601 displays multiple pieces of information calling attention to prevent the occurrence (recurrence) of accidents indicated by accident data whose item contents match the environmental data and worker data. As shown in Figure 10, the output device 611 may be a mobile terminal device such as a smartphone. Note that the output device 611 may display accident data such as that shown in Figures 5 and 6.

In this way, past accident data is extracted for each worker based on the worker's attributes and the environment at the time, and output information corresponding to the extracted accident data is output. Furthermore, the output information is configured to be output when the worker arrives at the work site. Therefore, it is possible to alert each worker based on past accident cases for the work that each worker will be performing. Furthermore, since the output information is output when the worker arrives at the work site, the worker is notified immediately before the worker performs the work, which increases the effectiveness of alerting the worker.
Third Embodiment

Figure 11 is a diagram showing a third embodiment of the information processing system of the present invention. As shown in Figure 11, the information processing system in this embodiment has a worker database 102, an accident database 200, an input unit 300, a search unit 400, a read unit 500, an output unit 602, a proposed information database 802, and an update unit 902. The accident database 200, the input unit 300, the search unit 400, and the read unit 500 are the same as those in the first embodiment shown in Figure 1.

The proposed information database 802 is a third database that stores proposed information according to the attributes of a worker and the work process. The proposed information stored in the proposed information database 802 is set in advance by a maintenance person, a manager, etc., in association with the attributes of a worker and the work process.

FIG. 12 is a diagram showing an example of the proposed information stored in the proposed information database 802 shown in FIG. 11. As shown in FIG. 12, the proposed information database 802 shown in FIG. 11 stores work steps, age groups, and advice in association with each other. The advice is the content of a proposal (proposal information) for a worker who has completed a work. For example, as shown in FIG. 12, the work step "A-1", the age group "20s to 30s", and the advice "Go straight home." are stored in association with each other. This indicates that the proposed information for a worker in the age group of 20s to 30s who performed the work step A-1 is "Go straight home." In addition, the work step "A-1", the age group "40s and up", and the advice "Get 8 hours or more of sleep today." are stored in association with each other. This indicates that the proposed information for a worker in the age group of 40s or older who performed the work step A-1 is "Get 8 hours or more of sleep today." In addition, the work process "A-2", the age group "20s to 30s", and the advice "Look as far away as possible" are stored in association with each other. This indicates that the suggested information for workers in their 20s to 30s who performed the work process A-2 is "Look as far away as possible." In addition, the work process "A-2", the age group "40s and up", and the advice "Warm your eyelids" are stored in association with each other. This indicates that the suggested information for workers in their 40s or older who performed the work process A-2 is "Warm your eyelids."

In addition to the functions of the output unit 600 in the first embodiment and the output unit 601 in the second embodiment, the output unit 602 reads out suggested information corresponding to the attributes and work process of the worker from the suggested information database 802 at a predetermined timing, and outputs information that prompts the worker to input the results of the work completed by the worker to the input unit 300 and the suggested information. This predetermined timing is set in advance, and may be, for example, a fixed time when the work is completed, a timing when the worker has a dedicated reader read the worker identification information in order to leave the work site, or a time when the worker leaves work, or any other timing at which the worker can input the results of the work completed that day. The output unit 602 reads out suggested information (advice shown in FIG. 12) from the suggested information database 802 using the worker's work process and age group as search keys.

The worker database 102 stores points to be given to workers in addition to the information stored in the worker database 100 shown in FIG. 1. The update unit 902 updates the points stored in the worker database 102 based on the result of the work completed by the worker operating the input unit 300 after completing the work and input to the input unit 300. If the result of the work completed by the worker operating the input unit 300 after completing the work and input to the input unit 300 is a predetermined result, the update unit 902 increases the points stored in the worker database 102 by a predetermined number.

Below, an information processing method in the information processing system shown in FIG. 11 is described. FIG. 13 is a flowchart for explaining an example of an information processing method in the information processing system shown in FIG. 11.

When a predetermined timing is reached (step S21), the output unit 602 reads out the proposed information from the proposed information database 802 (step S22). Here, whether the predetermined timing is reached may be determined, for example, by detecting whether a clock installed at the location where the output unit 602 is installed shows a preset time, or by detecting whether an ID card on which the worker identification information is written is held over a card reader to leave the work area (whether the worker identification information written on the ID card is read). In addition, the output unit 602 recognizes the worker identification information (attributes) and work process of the worker to be output in step S7 in the first embodiment or step S18 in the second embodiment, and therefore reads out proposed information corresponding to the attributes and work process of each worker from the proposed information database 802.

Next, the output unit 602 outputs (displays) a screen for inputting the work results and the proposal information read out in step S22 (step S23). The screen for inputting the work results is a display screen that includes questions that have been set in advance.

14 is a diagram showing an example of a screen displayed by the output unit 602 in step S23. The output device 612 shown in FIG. 14 has both the functions of the output unit 602 and the input unit 300. As shown in FIG. 14, the output device 612 displays a screen including a content that prompts the worker to input whether the work for that day was completed as scheduled and suggested information according to the worker. In the example shown in FIG. 14, the display screen allows the worker to select whether the work for that day was completed as scheduled. In addition, in the example shown in FIG. 14, the suggested information is displayed as "Get 8 hours or more of sleep today." For example, if the worker is in his or her 20s or 30s and the work process for that day is A-2, and the suggested information stored in the suggested information database 802 is associated as shown in FIG. 12, the suggested information is "Get 8 hours or more of sleep today." read by the output unit 602 from the associated association.

Then, the input unit 300 provided in the output device 612 judges whether a result has been input (step S24). Specifically, the input unit 300 judges whether a selection has been made according to the options displayed by the output unit 602 as shown in FIG. 14. If a result has been input, the update unit 902 judges whether the content (result) input by the input unit 300 is content that should update the points (step S25). If the content (result) input by the input unit 300 is content that should update the points, the update unit 902 updates (upgrades) the points associated with the worker identification information of the worker stored in the worker database 102 (step S26). An example of content that should update the points is the input result information that the work for that day was completed as scheduled. On the other hand, if the content (result) input by the input unit 300 is not content that should update the points, the update unit 902 does not perform the process of step S26.

In this embodiment, the detection unit 701 shown in FIG. 8 may also be provided. The proposed information database 802 may store information and quizzes related to safety and health corresponding to each work process, and the output unit 602 may read information and quizzes from the proposed information database 802 based on the work process performed by the worker, and output the information and quizzes at the timing of outputting the proposed information.

In this way, after a worker finishes a task, information corresponding to that task is output. Points are also awarded based on the results of the task. This allows each worker to obtain information about the day's work and motivation according to the work situation, which can lead to improved efficiency in future tasks.

The above describes the allocation of functions (processing) to each component, but this allocation is not limited to the above. In addition, components may be installed in several devices with a predetermined allocation.

The processing performed by each of the above-mentioned components may be performed by a logic circuit that is individually created according to the purpose. Also, a computer program (hereinafter referred to as a program) that describes the processing contents as procedures may be recorded on a recording medium that can be read by a device (hereinafter referred to as an information processing device) that includes each of the components, and the program recorded on this recording medium may be read into the information processing device and executed. Recording media that can be read by information processing devices include removable recording media such as floppy (registered trademark) disks, magneto-optical disks, DVDs (Digital Versatile Discs), CDs (Compact Discs), Blu-ray (registered trademark) Discs, and USB (Universal Serial Bus) memories, as well as memories such as ROMs (Read Only Memory), RAMs (Random Access Memory), and HDDs (Hard Disc Drives) built into the information processing devices. The programs recorded on these recording media are read by a CPU provided in the information processing device, and the same processing as described above is performed under the control of the CPU. Here, the CPU operates as a computer that executes the programs read from the recording media on which the programs are recorded.

Reference Signs List 100, 102 Worker database 200 Accident database 300 Input section 400 Search section 500 Read section 600, 601, 602 Output section 610, 611, 612 Output device 701 Detection section 802 Proposal information database 902 Update section

Claims (12)

a first database that stores worker data indicating attributes of a worker, including worker identification information for identifying the worker, and a work process of the worker;
a second database that stores accident data relating to accidents that have occurred in the past;
an input unit for inputting information based on an operation received from an external device;
a search unit that searches the first database for the worker data based on the worker identification information among the information input by the input unit;
a reading unit that reads the accident data from the second database based on the worker data searched by the search unit, excluding the worker identification information ;
and an output unit that outputs output information based on the accident data read by the reading unit. 2. The information processing system according to claim 1,
the reading unit compares items indicated by the worker data , excluding the worker identification information, among the worker data searched by the search unit with items indicated by the accident data, reads out accident data having matching items, and counts the number of matching items as a score;
The output unit outputs the output information in descending order of the score. 2. The information processing system according to claim 1,
The reading unit reads out the accident data from the second database based on the worker data searched by the search unit, excluding the worker identification information , and environmental data indicating the current environment. 4. The information processing system according to claim 3,
the reading unit compares items indicated by the worker data excluding the worker identification information and items indicated by the environmental data among the worker data searched by the search unit with items indicated by the accident data, reads out accident data having matching items, and counts the number of matching items as a score;
The output unit outputs the output information in descending order of the score. 5. The information processing system according to claim 2,
The output unit outputs output information based on accident data having a higher score than output information based on other accident data. In the information processing system according to claim 2, claim 4 or claim 5,
The output unit outputs a predetermined number of pieces of output information in descending order of the score. In the information processing system according to claim 2, claim 4 or claim 5,
The output unit is an information processing system that outputs output information based on accident data in which the score exceeds a predetermined threshold. 8. The information processing system according to claim 1,
The output unit outputs, as the output information, information that alerts the worker to be careful so as to prevent the accident indicated by the accident data read by the reading unit from occurring. 9. The information processing system according to claim 1,
A detection unit detects that the worker has arrived at a work location where the worker will perform work,
The output unit outputs the output information at a timing when the detection unit detects that the worker has arrived at the work location. 10. The information processing system according to claim 1 ,
a third database that stores proposal information corresponding to the attributes of the worker and the work process;
The output unit reads out the proposed information from the third database at a predetermined timing, and outputs the proposed information together with information prompting the worker to input the results of the completed work into the input unit. 11. The information processing system according to claim 10,
an update unit that updates information stored in the first database,
The first database stores points to be awarded to the worker,
An information processing system in which the update unit updates the points stored in the first database based on the results input to the input unit. a process of searching for worker data indicating attributes of a worker including worker identification information for identifying a worker and a work process of the worker from a first database that stores the worker data, based on the worker identification information for identifying the worker among information input based on an operation received from outside;
a process of reading out accident data relating to accidents that have occurred in the past from a second database that stores the accident data, based on the retrieved worker data excluding the worker identification information ;
and outputting output information based on the read accident data.

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