Management systems, management methods, and management programs

The management system uses a beacon-equipped monitoring device and AI to automatically evaluate workplace events by analyzing environmental information, addressing the limitation of conventional systems in providing context for harassment detection.

JP2026100757AActive Publication Date: 2026-06-19MOYAI CO LTD

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
MOYAI CO LTD
Filing Date
2024-12-09
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Conventional communication systems fail to provide information about the surrounding environment of a person during an event, limiting the ability to detect and evaluate situations like harassment in workplaces.

Method used

A management system comprising a monitoring device with a beacon emitting radio waves, a mobile terminal, and a remote server that uses artificial intelligence to process event and environmental information, allowing for automatic evaluation of events such as harassment by analyzing audio and images before and after the event occurrence.

Benefits of technology

Enables automatic and accurate evaluation of the user's surrounding environment during an event, reducing the burden on employees and managers by providing quick and appropriate assessments of harassment incidents.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a management system, a management method, and a management program that can obtain information about the user's surrounding environment when an event occurs. [Solution] The management system 100 includes a monitoring device 10 installed in a monitoring space S and having a beacon 11 that emits radio waves including a beacon identifier bi, and which detects environmental information In; a mobile terminal 20 capable of transmitting event information Iv including a mobile terminal identifier mi and a beacon identifier bi; and a remote server 30 capable of receiving event information Iv via a communication network N and outputting an evaluation report R. The event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. The remote server 30 receives environmental information Iv from the monitoring device 10 before and after the event occurrence time T, and outputs an evaluation report R via artificial intelligence AI based on the event information Iv and environmental information In.
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Description

Technical Field

[0001] The present invention relates to a management system, a management method, and a management program.

Background Art

[0002] Conventionally, there has been a communication system for detecting the position of a person carrying a wireless terminal (for example, Patent Document 1).

[0003] A conventional communication system tracks a person's behavior based on the acquired position information of a wireless terminal in an information processing device connected via a base station connectable to the wireless terminal by short-range wireless communication and a network. Therefore, the conventional communication system could not obtain information about the surrounding environment of a person at the time of an event.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] An object of the present invention is to provide a management system, a management method, and a management program capable of obtaining information about the surrounding environment of a user at the time of an event.

Means for Solving the Problems

[0006] (1) A management system according to one aspect of the present invention comprises: a monitoring device having a beacon that emits radio waves including a beacon identifier, installed in a monitoring space, and detecting environmental information in the form of images or sounds; a mobile terminal capable of receiving the radio waves and transmitting event information including a mobile terminal identifier and the beacon identifier; a remote server having a remote communication unit capable of receiving the event information via a communication network and an evaluation unit that outputs an evaluation report, wherein the event information includes the time of event occurrence detected by the monitoring device or the mobile terminal, and the evaluation unit receives the environmental information before and after the time of event occurrence from the monitoring device, and outputs the evaluation report through artificial intelligence based on the event information and the environmental information. (2) In (1) above, the event information is that the mobile terminal detected a user command, the environmental information is the audio before and after the time the event occurred, and the remote server may input a predetermined prompt and the text converted based on the audio to a large-scale language processing model connected to the communication network to generate a harassment evaluation. (3) In the above (2), the remote server may input a summary of the text to the large-scale language processing model. (4) A management method according to one aspect of the present invention includes: a detection step of detecting environmental information in the form of images or sounds in a monitored space by a monitoring device installed in the monitored space and having a beacon that emits radio waves including a beacon identifier; a transmission step of transmitting event information including a mobile terminal identifier and the beacon identifier by a mobile terminal capable of receiving the radio waves; a reception step of receiving the event information via a communication network by a remote server; and an evaluation output step of outputting an evaluation report by the remote server, wherein the event information includes the time of event occurrence detected by the monitoring device or the mobile terminal; and in the evaluation output step, the remote server receives the environmental information before and after the time of event occurrence from the monitoring device, and outputs the evaluation report through artificial intelligence based on the event information and the environmental information. (5) A management program according to one aspect of the present invention is a management program that causes a computer to execute a detection function which causes a monitoring device installed in the monitoring space and having a beacon that emits radio waves including a beacon identifier to detect environmental information in the form of images or sounds in the monitoring space; a transmission function which causes a mobile terminal that can receive the radio waves to transmit event information including a mobile terminal identifier and the beacon identifier; a reception function which causes a remote server to receive the event information via a communication network; and an evaluation output function which causes a remote server to output an evaluation report, wherein the event information includes the time of event occurrence detected by the monitoring device or the mobile terminal, and in the evaluation output function which causes the remote server to receive the environmental information before and after the time of event occurrence from the monitoring device, and outputs the evaluation report through artificial intelligence based on the event information and the environmental information. [Effects of the Invention]

[0007] According to the present invention, a management system, a management method, and a management program can be provided that can obtain information about the user's surrounding environment when an event occurs. [Brief explanation of the drawing]

[0008] [Figure 1] This diagram illustrates the overview of the management system applied to the business establishment. [Figure 2] This is a diagram illustrating the functionality of the management system. [Figure 3] The figure shows an example of a prompt. [Figure 4] This is a diagram showing an example of text. [Figure 5] This figure shows examples of summary sentences, harassment words, and types of harassment in evaluation reports. [Figure 6] This figure shows an example of harassment assessment in an evaluation report. [Modes for carrying out the invention]

[0009] (Embodiment) Embodiments of the present invention will be described in detail below with reference to the drawings. Figure 1 is an overview diagram of the management system 100. Figure 2 is a functional diagram of the management system 100. Note that parts with common functions may be denoted by the same reference numeral or symbol below.

[0010] The management system 100 according to this embodiment can be used, for example, in a workplace (office, store, workshop, etc.) where multiple employees work, to identify and automatically evaluate acts that may constitute harassment when they are experienced or witnessed. Conventionally, in a workplace, for example, when an employee experiences power harassment from a manager, the employee had to create a document explaining the situation and submit it to the human resources department, and the human resources department had to interview the employee based on that document to evaluate whether harassment occurred and its severity. Therefore, the burden on the employee associated with reporting harassment and the burden on the manager associated with evaluating or confirming harassment were significant. As a result, conventional workplaces had an environment where employees hesitated to report harassment. With the management system 100 described below, however, a harassment evaluation report can be automatically output simply by pressing a button on an app on the user's mobile device, thereby reducing both the burden on the employee associated with reporting harassment and the burden on the manager associated with confirming the facts of harassment.

[0011] As shown in Figures 1 and 2, the management system 100 according to the embodiment includes a monitoring device 10 installed in a monitoring space S that has a beacon 11 that emits radio waves including a beacon identifier bi and detects environmental information Iv in the form of images or sounds; a mobile terminal 20 that can receive radio waves and transmit event information Iv including a mobile terminal identifier mi and a beacon identifier bi; and a remote server 30 that can receive event information Iv via a communication network N and output an evaluation report R.

[0012] The communication network N may be, for example, a public line such as the Internet, a VPN, or a dedicated line provided by a carrier. Information from the mobile terminal 20 is transmitted to the remote server 30 via the communication network N. Information from the remote server 30 is transmitted to the mobile terminal 20 via the communication network N. Information from the monitoring device 10 is transmitted to the remote server 30 via the communication network N. Information from the remote server 30 is transmitted to the monitoring device 10 via the communication network N.

[0013] The management system 100 according to this embodiment includes a beacon 11 that emits radio waves containing a beacon identifier bi, and a monitoring device 10 installed in the monitoring space S.

[0014] The monitoring device 10 may include a monitoring communication device 14 that is connected to a communication network N and has the function of sending and receiving information between the monitoring device 10 and the outside world. The monitoring device 10 may also include a GPS receiver 15 that acquires the location information of the monitoring device 10 from satellites, as appropriate.

[0015] The monitoring device 10 detects environmental information In in the form of images (still images or video) or sound using a device corresponding to the physical phenomenon to be detected. Environmental information In represents the surrounding environment of a person (user) and may be information representing human senses such as sight and hearing in the monitoring space S, or it may be information representing the thermal environment such as temperature and humidity, or acceleration such as shock or vibration. The monitoring device 10 may detect images of the monitoring space S captured by a camera 12 attached to the monitoring device 10 as environmental information In. The monitoring device 10 may detect sound from the monitoring space S as environmental information In using a microphone 16 attached to the monitoring device 10. Environmental information In may also be acceleration acting on the monitoring device 10 measured by an acceleration sensor. Note that the locations where devices such as the camera 12 and microphone 16 are placed may be separate from the locations where the beacon 11 is placed.

[0016] The management system 100 includes a mobile terminal 20 having a transceiver 22 that can receive the radio waves of the beacon 11 and transmit event information Iv including the mobile terminal identifier mi and the beacon identifier bi to the remote server 30.

[0017] The mobile terminal 20 is a communication device held by a user (employee). The mobile terminal 20 is capable of receiving a signal transmitted from the beacon 11 by the transceiver 22. The mobile terminal 20 has wireless communication functions such as Wi-Fi (registered trademark), Bluetooth (registered trademark), a mobile phone network, and an Internet connection. The mobile terminal 20 may be a smartphone or a tablet capable of using various applications. The mobile terminal 20 may have a mobile camera.

[0018] The mobile terminal 20 may include a mobile display 21. The mobile display 21 may be capable of displaying a screen controlled by the notification application 23. The mobile display 21 may be a so-called graphic interface (GUI) that combines a display output and an input interface.

[0019] The mobile terminal 20 may be capable of acquiring the location information of the mobile terminal 20. The mobile terminal 20 may acquire the location information by a location information detection function such as a GPS function provided in the mobile terminal 20. The mobile terminal 20 is not limited to the GPS function for acquiring the location information, and may also acquire the location information by comprehensively grasping Wi-Fi (registered trademark), BLE, and information of antenna base stations.

[0020] It is preferable that the mobile terminal 20 installs the notification application 23. As shown in FIG. 1, the notification application 23 displays a virtual button 23b or text on the mobile display 21 of the mobile terminal 20. The virtual button 23b is displayed on the mobile display 21 by the notification application 23 to receive a notification command from the user.

[0021] The notification application 23 displays a virtual button 23b on the mobile display 21 of the mobile terminal 20 based on the user's operation of the mobile terminal 20. When the virtual button 23b is pressed (clicked), the notification application 23 accepts the operation as a notification command and causes the transmitting / receiving unit 22 installed in the mobile terminal 20 to send event information Iv to the remote server 30 via the communication network N.

[0022] Event information Iv indicates that the mobile terminal 20 has detected a user command. Event information Iv includes information about the event occurrence time T, that is, the time when the user pressed the virtual button 23b. In this case, if the notification application 23 has received the beacon identifier bi of the beacon 11, it will instruct the mobile terminal 20 to send event information Iv along with the beacon identifier bi to the remote server 30. If the mobile terminal 20 has received the beacon identifier bi of multiple beacons 11, it may be instructed to send each beacon identifier bi, which is associated with the signal strength of each beacon 11, along with event information Iv to the remote server 30. Event information Iv may include location information of the mobile terminal 20 obtained by a location information detection function such as the GPS function of the mobile terminal 20. This allows the remote server 30 to verify the location of the mobile terminal 20 within the workplace, so that the event occurrence time T and location can be identified when a user (employee) experiences harassment, etc.

[0023] The management system 100 includes a remote communication unit 32 that can receive event information Iv from a mobile terminal 20 via a communication network N, and a remote server 30 that has an evaluation unit 35 that takes the event information Iv as input and outputs an evaluation report R.

[0024] Event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20.

[0025] Event information Iv may include a value X indicating that a button has been pressed from the mobile terminal 20 (for example, an action taken by a user possessing the mobile terminal 20 on a virtual button 23b on the notification application 23 (GUI) pre-installed on the mobile terminal 20), and a value Y corresponding to the acceleration α of the monitoring device 10 or indicating that the acceleration α has exceeded a threshold. Event information Iv may be, for example, a combination of value X and the event occurrence time T, or a combination of value Y and the event occurrence time T.

[0026] The remote server 30 is a computer system that performs data processing. The remote server 30 includes a CPU, memory such as RAM, ROM, and auxiliary storage devices, an external connection interface to input / output devices, a network interface, and a bus connecting them. The remote server 30 may be provided as a so-called cloud service.

[0027] The remote server 30 has a storage unit 31 that stores relative location information RI, which links the beacon identifier bi with the monitoring space S. The monitoring space S is a specific location within a specific space. The relative location information RI is specific location information within a specific space. Note that the relative location information RI may be expressed in coordinates. The monitoring space S is, for example, a part of the space within a business office, such as the northwestern part of the office of the Tokyo office of a company with multiple business offices, as shown in Figure 1. In other words, the relative location information RI indicates which monitoring space S in which business office and at which location the specific beacon 11 (specific beacon identifier bi) is installed targeting.

[0028] The remote server 30 is a computer system that performs data processing. The remote server 30 includes a CPU, memory such as RAM, ROM, and auxiliary storage devices, an external connection interface to input / output devices, a network interface, and a bus connecting them.

[0029] The remote server 30 includes a storage unit 31 that stores data transmitted from the mobile terminal 20 in association with a beacon identifier bi, a remote communication unit 32 that enables communication between the mobile terminal 20 and the monitoring device 10 installed near the monitoring space S, and a control unit 33 that controls the remote server 30. The functions of the control unit 33 may be provided by the monitoring device 10, or the functions may be shared between the remote server 30 and the monitoring device 10. The remote server 30 may also include a remote display 34 capable of displaying the content of communication with the user (text chat, voice, video, etc.), images captured by the camera 12, or images displayed by the monitoring display 13.

[0030] The memory unit 31 stores a program that causes the remote server 30 to execute the management method according to this embodiment.

[0031] The memory unit 31 includes relative location information RI, which is a list of information representing the relationship between the identifier bi of the beacon 11 and the location where the beacon 11 is installed. For example, if a first beacon 111 with a first identifier bi1, a second beacon 112 with a second identifier bi2, and a third beacon 113 with a third identifier bi3 are installed in the northwestern part of the Tokyo office, the southeastern part of the Tokyo office, and the southwestern part of the Tokyo office, the relative location information RI represents the beacon identifier bi of the beacon 11 and the location where the beacon 11 is installed as a pair, such as the northeastern part of the Tokyo office and the first identifier bi1, the southeastern part of the Tokyo office and the second identifier bi2, and the southwestern part of the Tokyo office and the third identifier bi3.

[0032] The remote communication unit 32 has communication functions via a communication network N such as a mobile phone network or an internet connection.

[0033] The control unit 33 identifies the location of the mobile terminal 20 (the location of the user possessing the mobile terminal 20) based on the beacon identifier bi received from the mobile terminal 20 and the relative location information RI stored in the storage unit 31. The control unit 33 may, as appropriate, identify the location of the mobile terminal 20 by referring to location information transmitted from the mobile terminal 20 using GPS or other functions.

[0034] The remote server 30 may output the image (or video) captured by the camera 12 at the specified beacon reception time t1. That is, the control unit 33 of the remote server 30 displays the image captured by the camera 12 at the specified beacon reception time t1 in the identified monitoring space S on the remote display 34 as appropriate. This allows the monitoring space S at the location and time where the mobile terminal 20 was located. In addition, the administrator of the remote server 30 can confirm the location of the user who reported the event (harassment) based on the information displayed on the remote display 34. Thus, the management system 100 can determine the location of the mobile terminal 20 and its surrounding environment at the time the event occurred. Furthermore, the management system 100 can detect events in virtually real time and identify the location where the event occurred.

[0035] Here, the remote server 30 receives environmental information In from the monitoring device 10 before and after the event occurrence time T, and outputs an evaluation report R via artificial intelligence AI based on the event information Iv and environmental information In. The remote server 30 may receive the environmental information In directly from the monitoring device 10, or it may receive it indirectly from the monitoring device 10 via the mobile terminal 20. The management system 100 acquires the event information Iv from the mobile terminal 20 and the environmental information In from the monitoring device, and outputs an evaluation report R that takes into account not only the user's information at the event occurrence time T, but also the user's surrounding environment (information related to the monitoring space S) at the event occurrence time T. Therefore, the management system 100 can automatically output an evaluation report R with an appropriate evaluation by artificial intelligence AI. Thus, the management system 100 can obtain information about the user's surrounding environment at the time of the event.

[0036] Specifically, event information Iv may indicate that the mobile terminal 20 detected a user command, in other words, that the user pressed a virtual button 23b on the notification application 23 (or GUI) pre-installed on the mobile terminal 20. Environmental information In may be audio before and after the event occurrence time T. The evaluation unit 35 may input predefined prompt P and converted text TX (conversational text) based on audio into a large-scale language processing model LLM (a sub-concept of artificial intelligence AI; a sub-concept of generative AI) connected to the communication network N, and generate a harassment evaluation (evaluation report R). As a result, the management system 100 can automatically output an evaluation report R with an appropriate evaluation by artificial intelligence AI based on audio in the monitoring space S before and after the event occurrence time T.

[0037] Artificial intelligence (AI) can be a machine learning model or a large-scale language model.

[0038] In detail, the evaluation unit 35 inputs a summarized text TXa, which is a summary of the text TX, to the large-scale language processing model LLM. Compared to directly inputting the unsummarized audio into the large-scale language processing model LLM, this allows for a more accurate evaluation unaffected by noise, while also reducing computational complexity and shortening the time to output. Therefore, the evaluation using the outputted evaluation report R can be made more appropriate.

[0039] (Management method) The following describes an example of a management method according to this embodiment, assuming that User A (owner of mobile terminal 20) receives harassing behavior from User B (whether or not User B is the owner of mobile terminal 20) in a monitoring space S of a business premises where User A is located. The management method may be based on the premise that the management system 100 is in operation. In the following description of the management method, when the subject is omitted, the entity performing the action is the management system 100. As a premise, a monitoring device 10 equipped with a beacon 11 having a beacon identifier bi is provided near the monitoring space S. Multiple mutually identifiable monitoring devices 10 (having different beacon identifiers bi) installed in different locations may correspond to a single monitoring space S. A mobile terminal 20 with the notification application 23 installed is present in the monitoring space S. A remote server 30 connected to a communication network N is provided at a location away from the monitoring space S. The monitoring device 10 has a microphone 16 and a camera 12.

[0040] Figure 3 shows an example of prompt P. Figure 4 shows an example of text TX. Figure 5 shows an example of summary sentence TXa, harassment word W, and harassment type C in evaluation report R. Figure 6 shows an example of harassment evaluation in evaluation report R.

[0041] (1) When a user carrying a mobile terminal 20 is present in the monitoring space S, if the mobile terminal 20 is within a short distance reachable by radio waves from the beacon 11 of the monitoring device 10 installed in the monitoring space S, the mobile terminal 20 will receive radio waves containing the beacon identifier bi from the beacon 11 with identifier bi installed in the monitoring space S. This allows the mobile terminal 20 to identify the monitoring device 10 closest to the mobile terminal 20's location. Furthermore, if the mobile terminal 20 receives radio waves containing multiple different beacon identifiers bi, it can be determined that the mobile terminal 20 is located between the locations of the beacons 11 (monitoring device 10) that have those multiple beacon identifiers bi. Additionally, if the mobile terminal 20 receives radio waves containing multiple different beacon identifiers bi and the strength of those radio waves is known, it can be determined that the mobile terminal 20 is located between the locations of the beacons 11 (monitoring device 10) that have those multiple beacon identifiers bi, on the side with the stronger radio wave strength.

[0042] (2) Event information Iv, including the mobile terminal identifier mi and the beacon identifier bi, is transmitted to the remote server 30 by the mobile terminal 20, which is capable of receiving radio waves from the beacon 11 (transmission step). Specifically, the mobile terminal 20 transmits information including the beacon reception time t1, the beacon identifier bi, and the mobile terminal identifier mi to the remote server 30 via the communication network N at any time or periodically when the mobile terminal 20 receives radio waves from the beacon 11. This allows the user to know the location of the mobile terminal 20 within the business premises (which monitoring space S the mobile terminal 20 is in) and the time through the management system 100 (remote server 30). Here, by linking the relationship between the mobile terminal identifier mi and the username representing the owner of the mobile terminal 20, and the positional relationship between the beacon identifier bi and the monitoring space S in advance, the user's location and time within the business premises can be determined.

[0043] (3) Specifically, when user A is harassed by user B, user A presses a virtual button 23b displayed on the notification application 23 of the mobile terminal 20, as shown in Figure 1. The mobile terminal 20 then sends event information Iv, including the event occurrence time T, to the remote server 30. Here, event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. As a result, the administrator can grasp the event occurrence time T within the business premises, along with environmental information In of the monitored space S at the event occurrence time T, through the management system 100 (remote server 30).

[0044] (4) Event information Iv is received by the remote server 30 via the communication network N (reception step). When the remote server 30 receives event information Iv from the mobile terminal 20, it requests the monitoring device 10 to provide environmental information In of the monitoring space S before and after the event occurrence time T, including the event occurrence time T. In this example, when the remote server 30 receives event information Iv from the mobile terminal 20, it sends a request signal d to the monitoring device 10 requesting audio in the monitoring space S acquired by the microphone 16 of the monitoring device 10.

[0045] (5) Environmental information In in the form of images or sounds in the monitored space S is detected by a monitoring device 10 installed in the monitored space S and having a beacon 11 that emits radio waves including a beacon identifier bi (detection step). Specifically, when the monitoring device 10 receives a request signal d from the remote server 30, it transmits the environmental information In to the remote server 30. More specifically, the monitoring device 10 detects sounds in the monitored space S acquired by the microphone 16 of the monitoring device 10. The monitoring device 10 then transmits the detected sounds to the remote server 30 as environmental information In based on the request (request signal d) from the remote server 30. The monitoring device 10 may also transmit images of the monitored space S captured by the camera 12 of the monitoring device 10 in response to a request from the remote server 30, either instead of or together with the sounds.

[0046] (6) The remote server 30 outputs an evaluation report R (evaluation output step). In this evaluation output step, the remote server 30 receives environmental information In from the monitoring device 10 before and after the event occurrence time T, and outputs an evaluation report R via artificial intelligence AI based on the event information Iv and environmental information In. This management method acquires event information Iv from the mobile terminal 20 and environmental information In from the monitoring device, and outputs an evaluation report R that takes into account not only the user's information at the event occurrence time T, but also the user's surrounding environment (information related to the monitoring space S) at the event occurrence time T. Therefore, this management method can automatically output an evaluation report R with an appropriate evaluation by artificial intelligence AI. Thus, this management method makes it possible to obtain information about the user's surrounding environment at the time of the event.

[0047] Specifically, when the evaluation unit 35 of the remote server 30 receives environmental information In (voice) from the monitoring device 10 around the time T of an event, the evaluation unit 35 inputs the environmental information In to the artificial intelligence AI. Here, the artificial intelligence AI may be a large-scale language model LLM connected to the internet. The large-scale language model LLM may be connected to a communication network N (on the cloud) or may be located within the remote server 30.

[0048] (6-1) In detail, as shown in Figure 4, the evaluation unit 35 may use known software to transcribe (convert to text, verbalize) the acquired environmental information In (speech) and convert it into text TX.

[0049] (6-2) The evaluation unit 35 may, as appropriate, use known software to create a summary text TXa of the text TX, as shown in Figure 5.

[0050] (6-3) The evaluation unit 35 then outputs an evaluation report R via artificial intelligence AI based on the event information Iv and the environmental information In.

[0051] (6-4) In detail, the evaluation unit 35 inputs text TX or summary TXa converted based on the speech, which is the environmental information In, and a prompt P (instruction) to output an evaluation report R based on the text TX or summary TXa to the artificial intelligence AI (large-scale language model LLM). As shown in Figure 3, the prompt P instructs the artificial intelligence AI to perform a harassment evaluation based on the referenced text TX or summary TXa, indicating the presence or degree of harassment against the user, and to create an evaluation report R. For example, "Summarize the following conversation, extract the harassment words, and determine the type of harassment. Also, calculate the probability that this conversation can be considered harassment." The artificial intelligence AI (large-scale language model LLM) then returns the evaluation report R to the evaluation unit 35.

[0052] (6-5) The evaluation unit 35 appropriately extracts harassment words W that are effective for creating the evaluation report R from the text TX or summary text TXa through artificial intelligence AI (large-scale language model LLM) (see Figure 5).

[0053] (6-6) The evaluation unit 35, with reference to the extracted harassment words W, appropriately presents the types of harassment C that may apply (see Figure 5).

[0054] (6-7) The evaluation unit 35 evaluates the harassment, referring to type C of harassment. For example, as shown in Figure 6, it provides a graded and general evaluation such as "very high," along with comments such as, "Person A's words and actions contain many elements of harassment, including personal attacks on Person B, criticism of their appearance, threats, and an intimidating attitude. It is highly likely that Person B experienced emotional distress."

[0055] (6-8) The evaluation unit 35 will, as appropriate, provide supplementary information on the logic (basis) that led to the above-mentioned evaluation. The supplementary information could include explanations of each element used to calculate the harassment assessment (probability of harassment), such as: "This judgment is based on the information provided and may differ depending on the actual situation. Several factors must be considered when calculating the probability of harassment.", "Severity of the statement: The more malicious the statement, such as insult, threat, or personal attacks, the higher the probability of harassment.", "Frequency of the statement: Repeated statements are more likely to be considered harassment than a single statement.", "Victim's feelings: If the victim felt fear, anxiety, discomfort, etc., the probability of harassment is higher.", "Surrounding circumstances: If there are witnesses or evidence, the probability of harassment is higher.", and "Relationship between perpetrator and victim: The relationship between the two, such as whether there is a power imbalance, must also be considered."

[0056] Furthermore, the supplementary information states, "Considering these factors, we propose a formula for calculating the probability of harassment," "Probability of harassment (%) = (Severity of the statement + Frequency of the statement + Victim's feelings + Surrounding circumstances + Relationship between the perpetrator and victim) / 5 * 10," "Each element is evaluated on a scale from 0 to 10. 0 is not applicable, and 10 is very applicable," "Let's use this formula to calculate the probability of harassment in this case," "• Severity of the statement: Since it includes malicious statements such as insults, threats, and character assassination, we evaluate it to 10," "• Frequency of the statement: Since it was made multiple times, we evaluate it to 8," "• Victim's feelings: Based on Mr. Suzuki's statements, we judge that there is a high possibility that he is feeling fear or anxiety, so we evaluate it to 9," "• Surrounding circumstances: Since his superior, Mr. Sato, is a witness, we evaluate it to 8," "• Relationship between the perpetrator and victim: "Mr. Tanaka is a customer and Ms. Suzuki is an employee, so a power imbalance exists, therefore we rate it as a 9." "Applying these numbers to the formula, we get the following: Harassment probability (%) = (10 + 8 + 9 + 8 + 9) / 5 * 10 = 88%." "Therefore, the probability that this conversation is harassment is calculated to be 88%." Such evaluation criteria for harassment or the basis for calculating the probability of harassment may be acceptable.

[0057] (6-9) Next, the evaluation unit 35 of the remote server 30 displays the evaluation report R output from the artificial intelligence AI (large-scale language model LLM) on the remote display 34 as appropriate. This allows the administrator of the remote server 30 to check the contents of the evaluation report R. The evaluation unit 35 may also display the evaluation report R on the mobile display 21 of the mobile terminal 20 as appropriate. This allows the user of the mobile terminal 20 to check the contents of the evaluation report R.

[0058] As described above, the management method according to this embodiment includes a detection step in which environmental information In in the form of images or sounds in the monitoring space S is detected by a monitoring device 10 installed in the monitoring space S and having a beacon 11 that emits radio waves including a beacon identifier bi; a transmission step in which event information Iv including a mobile terminal identifier mi and a previous beacon identifier bi is transmitted by a mobile terminal 20 that can receive radio waves; a reception step in which the event information Iv is received by a remote server 30 via a communication network N; and an evaluation output step in which an evaluation report R is output by the remote server 30. Here, the event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. Then, in the evaluation output step, the remote server 30 receives environmental information In before and after the event occurrence time T from the monitoring device 10, and outputs an evaluation report R through artificial intelligence AI based on the event information Iv and the environmental information In. According to the management method of this embodiment, for user A, it is not necessary to create or submit an application form regarding the harassment they experienced, and for the administrator, it is not necessary to directly interview user A or analyze the content of the interview, in order to quickly confirm whether or not user A experienced harassment or the degree of harassment.

[0059] In this way, a management method using the management system 100 can be implemented.

[0060] (Management program) The following describes a management program according to this embodiment for implementing the above-described management method using a computer. The management program may be installed on the mobile terminal 20 as a notification application 23. The management program may also be installed on the remote server 30, on the monitoring device 10, or on a server on the cloud other than the mobile terminal 20 or the remote server 30.

[0061] The management program instructs the computer to perform a detection function, causing a monitoring device 10, which is installed in the monitoring space S and has a beacon 11 that emits radio waves including a beacon identifier bi, to detect environmental information Iv in the form of images or sounds in the monitoring space S. The management program instructs the computer to perform a transmission function, causing an event information Iv, which includes a mobile terminal identifier mi and a beacon identifier bi, to be transmitted by a mobile terminal 20 that can receive radio waves. The management program instructs the computer to perform a reception function, causing an event information Iv to be received by a remote server 30 via a communication network N. The management program instructs the computer to perform an evaluation output function, causing an evaluation report R to be output by the remote server 30. Here, the event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. Then, in the evaluation output function, the remote server 30 receives environmental information In before and after the event occurrence time T from the monitoring device 10, and outputs the evaluation report R via artificial intelligence AI based on the event information Iv and environmental information In. Thus, according to the management program of this embodiment, user A can quickly confirm whether or not harassment occurred against user A, or the degree of harassment, without having to create or submit an application form regarding the harassment experienced by user A, and without having to directly interview user A or analyze the content of the interview.

[0062] It should be noted that the technical scope of the present invention is not limited to the embodiments described above, and various modifications can be made without departing from the spirit of the invention.

[0063] Furthermore, it is possible to replace the components in the above-described embodiments with well-known components as appropriate, without departing from the spirit of the present invention. Also, the above-described modifications may be combined as appropriate, without departing from the spirit of the present invention.

[0064] As described above, the management system 100 according to the embodiment includes a monitoring device 10 installed in a monitoring space S and having a beacon 11 that emits radio waves including a beacon identifier bi, and which detects environmental information In in the form of images or sounds; a mobile terminal 20 that can receive radio waves and transmit event information Iv including a mobile terminal identifier mi and a beacon identifier bi; a remote server 30 having a remote communication unit 32 that can receive event information Iv via a communication network N, and an evaluation unit 35 that outputs an evaluation report R. Here, the event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. The evaluation unit 35 receives environmental information Iv before and after the event occurrence time T from the monitoring device 10, and outputs an evaluation report R via artificial intelligence AI based on the event information Iv and environmental information In. According to this management system 100, event information Iv from the mobile terminal 20 and environmental information In from the monitoring device can be acquired, and an evaluation report R can be output that takes into account not only the user's information at the time of the event T, but also the user's surrounding environment (information related to the monitoring space S) at the time of the event T. For user A, this means they do not need to create or submit an application form regarding the harassment they experienced, and for administrators, it means they do not need to directly interview user A or analyze the content of the interview. In other words, they can quickly confirm whether or not user A experienced harassment, or the degree of harassment, that user A faced. Therefore, the management system 100 can automatically output an evaluation report R with an appropriate evaluation using artificial intelligence (AI). Thus, according to the management system 100, information about the user's surrounding environment at the time of the event can be obtained.

[0065] The management method according to this embodiment includes a detection step in which environmental information In in the form of images or sounds in the monitoring space S is detected by a monitoring device 10 installed in the monitoring space S and having a beacon 11 that emits radio waves including a beacon identifier bi; a transmission step in which event information Iv including a mobile terminal identifier mi and a beacon identifier bi is transmitted by a mobile terminal 20 that can receive radio waves; a reception step in which the event information Iv is received by a remote server 30 via a communication network N; and an evaluation output step in which an evaluation report R is output by the remote server 30. Here, the event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. Then, in the evaluation output step, the remote server 30 receives environmental information Iv before and after the event occurrence time T from the monitoring device 10, and outputs an evaluation report R through artificial intelligence AI based on the event information Iv and the environmental information In. According to this management method, event information Iv from the mobile terminal 20 and environmental information In from the monitoring device 10 are acquired, and an evaluation report R can be output that takes into account not only the user's information at the time of the event T, but also the user's surrounding environment (information related to the monitoring space S) at the time of the event T. For user A, this means they do not need to create or submit an application form regarding the harassment they experienced, and for administrators, it means they do not need to directly interview user A or analyze the content of the interview. Instead, they can quickly confirm whether or not user A experienced harassment, or the degree of harassment. Therefore, this management method can automatically output an evaluation report R with an appropriate evaluation using artificial intelligence (AI). Thus, according to this management method, information about the user's surrounding environment at the time of the event can be obtained.

[0066] The management program according to this embodiment causes a computer to execute a detection function that causes a monitoring device 10, which is installed in the monitoring space S and has a beacon 11 that emits radio waves including a beacon identifier bi, to detect environmental information Iv in the form of images or sounds in the monitoring space S. The management program causes a computer to execute a transmission function that causes an event information Iv, including a mobile terminal identifier mi and a beacon identifier bi, to be transmitted by a mobile terminal 20 that can receive radio waves. The management program causes a computer to execute a reception function that causes an event information Iv to be received by a remote server 30 via a communication network N. The management program causes a computer to execute an evaluation output function that causes an evaluation report R to be output by the remote server 30. Here, the event information Iv includes the event occurrence time T detected by the monitoring device 10 or the mobile terminal 20. Then, in the evaluation output function, the management program causes the remote server 30 to receive environmental information In before and after the event occurrence time T from the monitoring device 10, and outputs an evaluation report R through artificial intelligence AI based on the event information Iv and the environmental information In. According to this management program, event information Iv from the mobile terminal 20 and environmental information In from the monitoring device 10 can be acquired, and an evaluation report R can be output that takes into account not only the user's information at the time of the event T, but also the user's surrounding environment (information related to the monitoring space S) at the time of the event T. For user A, this means they do not need to create or submit an application form regarding the harassment they experienced, and for administrators, it means they do not need to directly interview user A or analyze the content of the interview. In other words, they can quickly confirm whether or not user A experienced harassment, or the degree of harassment, that user A faced. Therefore, this management program can automatically output an evaluation report R with an appropriate evaluation using artificial intelligence (AI). Thus, according to this management program, information about the user's surrounding environment at the time of the event can be obtained. [Explanation of Symbols]

[0067] 100 Management Systems 10 Monitoring equipment 11 Beacons 12 cameras 13 Surveillance Display 14. Surveillance and communication devices 15 GPS receivers 16 Mike 20 Mobile devices 21 Mobile Display 22 Transmitter / Receiver 23 Hochi app 23b Virtual Button 30 Remote Servers 31 Storage section 32 Remote Communications Department 33 Control Unit 34 Remote Display 35 Evaluation Department AI artificial intelligence C Types of Harassment IV Event Information N Communication Network P prompt R Evaluation Report S monitoring space T Event occurrence time TX text TXa summary W Harassment words X,Y values bi beacon identifier d request signal mi Mobile device identifier t1 Beacon reception time

Claims

1. A monitoring device having a beacon that emits radio waves containing a beacon identifier, installed in a monitoring space, and detecting environmental information in the form of images or sounds, A mobile terminal capable of receiving the aforementioned radio waves and transmitting event information including a mobile terminal identifier and a beacon identifier, The system comprises a remote communication unit capable of receiving the aforementioned event information via a communication network, and a remote server having an evaluation unit that outputs an evaluation report. The event information includes the time of the event detected by the monitoring device or the mobile terminal. The evaluation unit receives the environmental information from the monitoring device before and after the event occurred, and outputs the evaluation report based on the event information and the environmental information through artificial intelligence. Management system.

2. The aforementioned event information indicates that the mobile terminal detected a user command. The aforementioned environmental information consists of audio recordings taken before and after the event occurred. The remote server inputs predefined prompts and text converted based on the speech into a large-scale language processing model connected to the communication network, causing it to generate a harassment assessment. The management system according to claim 1.

3. The remote server inputs the summarized text to the large-scale language processing model. The management system according to claim 2.

4. A detection step in which environmental information in the form of images or sounds in the monitored space is detected by a monitoring device installed in the monitored space and having a beacon that emits radio waves including a beacon identifier, A transmission step in which event information including a mobile terminal identifier and the beacon identifier is transmitted by a mobile terminal capable of receiving the radio waves, A receiving step in which the aforementioned event information is received by a remote server via a communication network, This includes an evaluation output step in which an evaluation report is output by a remote server, The event information includes the time of the event detected by the monitoring device or the mobile terminal. In the evaluation output step, the remote server receives the environmental information from the monitoring device before and after the event occurrence time, and outputs the evaluation report via artificial intelligence based on the event information and the environmental information. Management method.

5. On the computer, A detection function that causes environmental information in the form of images or sounds in the monitored space to be detected by a monitoring device installed in the monitored space and having a beacon that emits radio waves including a beacon identifier, A transmission function that causes a mobile terminal capable of receiving radio waves to transmit event information including a mobile terminal identifier and the beacon identifier, A receiving function that causes the aforementioned event information to be received by a remote server via a communication network, An evaluation output function that generates an evaluation report via a remote server, and a management program that executes this function. The event information includes the time of the event detected by the monitoring device or the mobile terminal. In the evaluation output function, the remote server receives the environmental information from the monitoring device before and after the event occurrence time, and outputs the evaluation report via artificial intelligence based on the event information and the environmental information. Management program.