JP2020177471A - System, bot, and method for sharing information - Google Patents

Abstract

To provide a communication method that ensures quickness and effectiveness.SOLUTION: Provided is a method for sharing information by using a system. The system includes a communication terminal and a bot. The communication terminal is capable of posting on a talk room generated by the system. The method includes: a step A in which the bot receives trigger information; and a step B in which the bot makes a determination as to whether or not to generate a talk room based on the trigger information.SELECTED DRAWING: Figure 1

Description

The present invention relates to systems, bots, and methods for information sharing.

In recent years, various communication tools have been introduced in business. Examples of communication tools include ChatWork®, Slack, and LINE WORKS.

These have the function of opening a virtual communication space called a talk room (or chat room). And it manages the members who can participate in the talk room.

Patent Document 1 discloses an information processing device, an information processing method, and a program that can collect, organize, and share on-site information in real time when a disaster or trouble occurs. Patent Document 2 discloses as an issue the provision of a mechanism for efficiently supporting failure resolution by setting up a chat room (examination room) necessary when a failure occurs.

JP-A-2018-165924 Japanese Unexamined Patent Publication No. 2018-08824

Although various communication tools are provided as described above, there are problems in business use. For example, taking the staff working at an airport as an example, when a specific emergency occurs (for example, finding a suspicious object), the leader receives a report of the emergency from the scene. The leader then reviews the content of the report and decides whether to convene members. Then, when it is determined that it is necessary to convene members, a talk room is formed using a communication tool.

However, in the event of an emergency, prompt action is required, so there is a demand to minimize the loss of time until the talk room is formed.

One way to meet these demands is to set up one talk room in which all members participated without omission and keep it active at all times. However, when such a talk room is formed, information irrelevant to the individual members will always flow. Therefore, even if there is a new post in the talk room, there is a strong possibility that the prejudice that it is irrelevant to you will work. As a result, you may miss important information. This diminishes the effectiveness of communication.

In view of the above points, it is an object of the present disclosure to provide a communication method that guarantees speed and effectiveness, thereby improving productivity at work.

As a result of consideration by the inventor, he devised to manage the talk room using a bot. More specifically, we decided to provide the bot with information for judgment, and in response to this, let the bot make a judgment on the generation of the talk room. As a result, the talk room can be generated quickly. Also, since an active talk room is not always formed, it is possible for members to reduce the possibility of missing important information.

The present invention has been completed based on the above findings and includes the following inventions in one aspect.

(Invention 1)
It is a method of information sharing using the system.
The system includes a communication terminal and a bot.
The communication terminal can post to the talk room created by the bot.
The method is
Step A in which the bot receives the trigger information,
Step B, in which the bot determines whether or not to create a talk room based on the trigger information,
Including methods.

(Invention 2)
The method of invention 1
The step B
Sub-process B1 in which the bot analyzes the trigger information and calculates the importance, and
Sub-step B2, in which the bot creates a talk room, based on comparing the importance with a preset threshold.
The method comprising.

(Invention 3)
The method of invention 2,
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The method.

(Invention 4)
The method of invention 2,
The trigger information is information output by the communication terminal, and is
The step B involves the bot linguistically analyzing the trigger information to extract keywords.
The method.

(Invention 5)
The method of invention 2,
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The method.

(Invention 6)
The method of invention 1
The step B
Step B1 that refers to the determination table based on the trigger information
Including
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The method.

(Invention 7)
The method according to any one of inventions 1 to 6.
The method further comprises step C, in which the bot selects members to participate in the talk room after the talk room is created.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The method.

(Invention 8)
The method of the invention 7, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 9)
The method of invention 7 or 8,
The system is equipped with an environment sensor
The environment sensor includes a subbot and
The step C includes electing the subbot as a member.
The method.

(Invention 10)
The method according to any one of Inventions 7 to 9.
The step C includes selecting members who are participating in the existing talk room.
The method.

(Invention 11)
An information sharing bot
The bot is communicably connected to a communication terminal and
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information.
The bot.

(Invention 12)
The bot of invention 11
The bot
It is configured to analyze the trigger information and calculate the importance, and
A talk room is configured to be created based on comparing the importance with a preset threshold.
The bot.

(Invention 13)
The bot of invention 12
The bot is communicably connected to the environment sensor and
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The bot.

(Invention 14)
The bot of invention 12
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The bot.

(Invention 15)
The bot of invention 12
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The bot.

(Invention 16)
The bot of invention 11
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The bot.

(Invention 17)
The bot according to any one of the inventions 11 to 16.
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The bot.

(Invention 18)
The bot of the invention 17, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 19)
A bot according to the invention 17 or 18, wherein the bot is configured so that a subbot included in an environment sensor can be selected as a member.

(Invention 20)
The bot according to any one of the inventions 17 to 19.
The bot is configured to elect members who are participating in an existing talk room.
The bot.

(Invention 21)
It is an information sharing system
The system includes a bot and a communication terminal.
The communication terminal can post to the talk room created by the bot.
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information.
The system.

(Invention 22)
The system of invention 21
The bot
It is configured to analyze the trigger information and calculate the importance, and
A talk room is configured to be created based on comparing the importance with a preset threshold.
The system.

(Invention 23)
The system of invention 22
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The system.

(Invention 24)
The system of invention 22
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The system.

(Invention 25)
The system of invention 22
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The system.

(Invention 26)
The system of invention 21
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The system.

(Invention 27)
The system according to any one of the inventions 21 to 26.
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The system.

(Invention 28)
The system of the invention 27, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 29)
The system according to the invention 27 or 28, wherein the bot is configured so that a subbot included in an environment sensor can be selected as a member.

(Invention 30)
The system according to any one of the inventions 27 to 29.
The bot is configured to elect members who are participating in an existing talk room.
The system.

In the above invention, the bot makes a determination as to whether or not to create a talk room based on the trigger information. As a result, the talk room can be formed quickly. This increases work efficiency and, as a result, productivity.

The configuration of the system in one embodiment is shown. The flow of opening a talk room in one embodiment is shown. In one embodiment, a screen of a communication terminal for generating trigger information is shown. In one embodiment, a table in which the keyword to be extracted and the event code are associated with each other is shown. In one embodiment, a determination table for whether or not to generate a talk room is shown. In one embodiment, the determination flow of whether or not to generate a talk room is shown. In one embodiment, a determination table for whether or not to generate a talk room is shown. A table for managing information about members in one embodiment is shown. A judgment table for member selection in one embodiment is shown. A table for managing information about members in one embodiment is shown. Members also include environment sensors (eg, surveillance cameras, thermography, etc.).

Hereinafter, specific embodiments for carrying out the present invention will be described. The following description is for facilitating the understanding of the present invention. That is, it is not intended to limit the scope of the present invention.

1. 1. System Configuration In one embodiment, the present invention relates to a system and a bot for information sharing. FIG. 1 shows the configuration of the system in one embodiment. The system includes at least a bot (10) and a communication terminal (30). If necessary, an environment sensor (40) may be provided. In addition, the bot can provide a virtual talk room (20). Each communication terminal can post to the talk room. Information can be shared between staff members through the talk room and each communication terminal.

1-1. A bot A "bot" is software, hardware, or a combination thereof for automating certain tasks or processes. The hardware corresponding to the bot is not particularly limited, and may be a general information processing device or the like. In addition, the information processing device may include a processor, a memory, a storage medium, a communication module, and the like. For example, the hardware corresponding to the bot may be a server, a personal computer, or the like.

The server is not particularly limited, and may be, for example, a cloud server. Alternatively, it may be an on-premises server.

In addition, the bot can have a function of determining whether or not to create a talk room based on the trigger information. The bot can be equipped with various modules to realize these functions. For example, the following modules can be provided.
-Analysis module for analyzing trigger information and calculating importance-First judgment module that determines whether to open a talk room based on comparing the importance with a predetermined threshold value set in advance. -Talk room management module for adding and / or deleting talk rooms, and adding and / or deleting member management. In addition to the first judgment module, or in the first judgment module. Alternatively, the bot may include a second determination module. The second determination module may be configured to refer to the determination table based on, for example, the trigger information.

Details of the functions of the above various modules will be described later.

1-2. Communication terminal A communication terminal is a device for use by individual staff. Typically, the communication terminal is preferably a portable and wireless communication terminal (for example, a smartphone or a tablet terminal) because individual staff members are constantly on the move to carry out their duties. It may be a headphone equipped with an earphone and a microphone).

Further, the communication terminal can communicate in any format. For example, text communication may be possible. Alternatively, voice communication may be possible. Alternatively, it may be a combination of both.

Where text communication is possible, the communication terminal can include a communication module, a keyboard (including a virtual keyboard displayed on a touch panel), and a display.

If voice communication is possible, the communication terminal may include a communication module, a microphone, and a speaker (including earphones and the like).

Further, if necessary, the communication terminal may include the same components as a general information processing device (for example, a processor, a memory, a storage medium, a communication module, and the like).

Further, the communication terminal can be provided with various modules for realizing a desired function. For example, the communication terminal can include a trigger information generation module for generating trigger information.

The number of communication terminals is not particularly limited, but typically, a plurality of communication terminals may be connected to the bot.

1-3. Environment Sensors The system may also include environment sensors, if desired. The environment sensor may be of one type or may have a plurality of types. Examples of the types of environment sensors include the following examples.
Temperature sensor, humidity sensor, pressure sensor, optical sensor, sound sensor, human sensor, vibration sensor, current sensor, voltage sensor, position sensor, switch sensor, surveillance camera, infrared camera, gas detector, fire alarm, magnetic sensor , And the key sensor The above sensors may be used in combination.

In addition, the environment sensor can be provided with a trigger information generation module for generating trigger information. The trigger information can include information that identifies the type of environment sensor and information sensed by the sensor (for example, temperature in the case of a temperature sensor, degree of brightness in the case of an optical sensor, and the like).

Further, the environment sensor can be provided with a communication module, and can be connected to the above-mentioned bot through the communication module.

In the next section, a method of generating a talk room using each of the above-mentioned components will be described in detail.

2. Formation of Talk Room In one embodiment, the present invention is a method of information sharing using a system. More specifically, a talk room is used for information sharing. The method includes the following steps.
-Step A in which the bot receives the trigger information
-Step B in which the bot determines whether or not to create a talk room based on the trigger information.

In a further embodiment, step B of the method can include the following sub-steps.
-Step B1 in which the bot analyzes the trigger information and calculates the importance.
-Step B2 in which the bot creates a talk room based on comparing the importance with a preset threshold.
A specific example is shown in FIG. Hereinafter, the specific example will be described in detail.

2-1. Generation of trigger information In the above step A, the bot receives the trigger information. The trigger information may be information generated by the communication terminal. Alternatively, the trigger information may be information generated by the environment sensor.

2-1-1. Generation of trigger information by the communication terminal First, the generation of the trigger information by the communication terminal will be described. The trigger information generated by the communication terminal may be in voice format or text format. Alternatively, it may be a combination of an arbitrary form command and an argument. Further, if necessary, the trigger information may include the position information of the communication terminal.

For example, if the trigger information is in audio or text format, the trigger information may be in natural language (eg, "I found a suspicious object in the toilet number X") and combine certain keywords. (For example, "suspicious object discovery, location, in toilet No. X").

Further, when the trigger information is a combination of an arbitrary format command and an argument, the arbitrary format command may correspond to the information instructing the opening of the talk room. Further, the argument may correspond to the purpose information for opening the talk room. Therefore, the generated trigger information may be, for example, information in the form of "OPEN_TALK_ROOM SUSPICIOUS_OBJECT". Also, as described above, the command format is arbitrary. Therefore, it is not limited to the character format. For example, the command format may be an icon format such as a LINE (registered trademark) stamp. Further, the command format may be a combination of a LINE stamp and a character.

When the trigger information is a combination of a command and an argument in an arbitrary format, for example, as shown in FIG. 3, a predetermined application may be installed on the communication terminal. Then, when the application is started, it may be configured so that the content to be reported can be selected. When the user of the communication terminal taps a button and selects the content to be reported, the trigger information corresponding to the selected button is generated.

Such trigger information generation may be generated by a trigger information generation module included in the communication terminal. The generated trigger information is transmitted from the communication terminal to the bot.

2-1-2. Generation of trigger information by the environment sensor If necessary, a person other than the communication terminal may generate the trigger information. Specifically, the environment sensor may generate trigger information. As described above, the trigger information generated by the environment sensor can include information that identifies the type of the environment sensor and information that the sensor senses. Further, if necessary, the trigger information may include the position information of the environment sensor. The generation of such trigger information may be generated by the trigger information generation module provided in the environment sensor. The generated trigger information is transmitted from the environment sensor to the bot.

2-2. The bot receives the trigger information The trigger information transmitted by the communication terminal or the environment sensor is received by the bot. The bot can be equipped with a communication module for receiving. After receiving, a predetermined process is executed based on the trigger information. The predetermined processing will be described in detail in the next section.

2-3. The bot analyzes the trigger information and calculates the importance. The bot analyzes the received trigger information and calculates the importance based on the received trigger information. For this purpose, the bot is equipped with an analysis module.

As described above, when the trigger information is the information generated by the communication terminal and is in the form of natural language, the analysis module can perform language analysis. For example, the analysis module can match the trigger information in the natural language form with the keyword registered in advance and perform keyword extraction. The analysis module can access the database for keyword extraction (Fig. 4). The database for keyword extraction may be, for example, a table format. In addition, keywords to be extracted can be registered in advance in the database. Furthermore, the event code corresponding to the keyword to be extracted can be associated and registered. In the case of natural language, language fluctuations can occur (eg fires and fires). However, by registering a plurality of keywords representing the same concept in advance, it is possible to avoid the problem of language fluctuation.

For keyword extraction, the trigger information is preferably in text format. Therefore, when the trigger information is in the voice data format, the analysis module may convert it into the text format by using the voice recognition technique.

After extracting the keywords, the analysis module can generate the event code corresponding to the extracted keywords (for example, using the correspondence table of FIG. 4).

If the trigger information is information generated by the communication terminal and is in the form of a combination of predetermined keywords, the problem of language fluctuation is unlikely to occur, so even if the analysis module calculates the importance as it is. Good. Alternatively, it may be converted into an event code in the same manner as above.

Even when the trigger information is the information generated by the environment sensor, the problem of the above-mentioned language fluctuation is unlikely to occur, so that the analysis module may calculate the importance as it is. Alternatively, it may be converted into an event code in the same manner as above.

The calculation of importance by the analysis module may be rule-based. Alternatively, artificial intelligence (for example, machine learning, especially deep learning) may be used.

In the case of rule-based, for example, the determination table shown in FIG. 5 may be used. For example, the trigger information transmitted from the communication terminal and / or the environment sensor corresponds to the event code and the parameter in the determination table of FIG. The parameters correspond to the values sensed by the environment sensor. If the detected values are used as they are, it is not possible to form a hierarchy regarding the importance of the values detected by other types of environment sensors (for example, 50 ° C indicated by a thermometer and 50% indicated by a hygrometer are simply compared by the magnitude of the numerical value. The parameters may preferably be normalized. Importance is assigned to the judgment table according to the event code or the combination of the event code and the parameter (for example, in the case of a vibration sensor, the importance varies depending on the magnitude of the detected vibration. Allocate). Therefore, based on this, the analysis module can calculate the importance corresponding to the trigger information. Further, in addition to the determination table, for example, as shown in FIG. 6, a code corresponding to the determination flow may be implemented. Then, the importance may be determined by executing the code.

Further, in the case of calculating the importance by artificial intelligence, a large amount of teacher data based on the combination of the trigger information (or the event code and the parameter shown in FIG. 5) and the importance is prepared and trained in advance. Then, the importance can be calculated by inputting the trigger information into this trained model. The importance is sent from the analysis module to the judgment module.

2-4. After calculating the importance by comparing the importance with a predetermined threshold value set in advance , the determination module compares the importance with the threshold value. Based on this, it is determined whether or not to create a talk room. For example, it may be determined that a talk room is created when the importance exceeds a predetermined threshold value. In another example, it may be determined that a talk room is created when the importance falls below a predetermined threshold. Further, the threshold value can be set in advance and may be appropriately changed depending on the situation.

2-5. After bot determination is made of creating a generation talk room talk room, (more specifically, talk room management module provided in the bot) bot may create a new talk room. If it is determined not to create the talk room, the user may continue to wait until new trigger information is received.

2-6. Other determination methods for creating a talk room In the above method, the bot calculates the importance after receiving the trigger. However, in other ways, the bot may decide whether to create a talk room. For example, the bot may include a determination table. The determination table may be a table in which a pair is formed by the trigger information and the determination flag as to whether or not to create a talk room (FIG. 7). After receiving the trigger information, the bot may refer to the determination table, acquire the flag, and create a talk room based on the content of the flag. For example, in the case of "suspicious object discovery residence time 1 hour", it is possible to decide not to create a talk room for the reason of waiting for a while. On the other hand, for example, in the case of "suspicious object discovery residence time of 2 hours", it can be determined that a talk room is created because there is a risk of leaving it unattended any longer.

In a preferred embodiment, when the determination table as shown in FIG. 7 is used, it is preferable that the information trigger is in a form in which the problem of language fluctuation is unlikely to occur. Therefore, as described above, it is preferable that the trigger information is information generated by the communication terminal and is in the form of a combination of predetermined keywords. Alternatively, the trigger information is preferably a combination of an arbitrary form of command and arguments.

3. 3. Selection of members in the talk room After the talk room is generated, the members who participate in the talk room can be decided. Normally, a user who has the authority to manage the talk room sets the members. However, in the method of the present disclosure in one embodiment, the bot (more specifically, the talk room management module provided by the bot) can select members to participate in the talk room.

When a bot selects a member, it may be based on trigger information. In addition to this, the bot may select members based on pre-registered member information and / or member location information. The information on which the members are selected will be described in detail below.

3-1. Selection of members based on trigger information
Trigger information is important information when selecting members. For example, when the trigger information is the discovery of a suspicious object, security personnel and fire fighting personnel need to participate as members. For example, if the trigger information is a fever patient, medical personnel need to participate as members.

3-2. Selection of members based on pre-registered member information
Information about members is also important information when selecting members. Information about such members may be registered in a database or the like in advance. Specific examples of information about a member include at least one of the member's work, years of work, skills, job title, physical condition, attendance / leaving status, gender, age, and belongings.

Appropriate members can change depending on the trigger information. Regarding the example of the member's work, if the trigger information is a suspicious object found, it is necessary to select a security person and a firefighter as the member's work. For example, when the trigger information is a fever patient, it is necessary to select a medical person as a member's job.

Regarding the skills of members, for example, when the trigger information is VIP visit, it is preferable to exclude members who are inexperienced in skills.

Regarding the job title of the member, for example, when the trigger information is a VIP visit, a member having a high job title as a member who directly contacts the VIP is preferable.

Regarding the physical condition of the members, for example, when the trigger information is such that a suspicious person is rampaging, it is preferable to avoid the members who are not in good physical condition.

Regarding the attendance / leaving status of members, for example, when the trigger information is bomb disposal, it may take time to resolve, so it is preferable to avoid members who are scheduled to leave after a few hours.

Regarding the gender of the members, for example, when the trigger information is related to a place where only women can enter (for example, nursing room, women's toilet, etc.), it is preferable to avoid the members whose gender is male.

Regarding the age of members, for example, when the trigger information is related to work requiring physical strength (for example, going up and down an emergency staircase, running to a remote place, etc.), it is better to select a member who is relatively young.

Regarding the belongings of the members, for example, when the trigger information is an abnormality in the temperature of the equipment, a photograph of the site or the like is required, so it is preferable to select a member who has a shooting tool.

3-3. Selection of members based on member location information
In addition, the position information of the members is also important information in selecting the members. For example, if the trigger information is relevant to a particular location, it is preferable that members near that location be elected. Each member possesses a communication terminal during work, and the communication terminal can transmit location information to the bot. Therefore, the bot can manage the position information of the member in real time.

3-4. Mechanism for selecting members The information that is the basis for selecting members is as described above. Other than that, the method of selecting members is not particularly limited and may be rule-based. Alternatively, artificial intelligence (for example, machine learning, especially deep learning) may be used.

In the rule-based case, for example, as shown in FIG. 8, the bot can access the database that manages the members and obtain information about the members. Further, as separately shown in FIG. 9, the member selection conditions corresponding to each event may be managed in a table. Then, the talk room management module can select members by referring to the table of member selection conditions and the table of information about members.

Further, as a method other than using the table, the talk room management module may select a member by using a judgment flow similar to the judgment flow as shown in FIG.

In the case of member selection by artificial intelligence, a large amount of teacher data is obtained by combining trigger information (or event code and parameter shown in FIG. 5), member information and / or member position information, and the selected member. Prepare and let them learn in advance. Then, a member can be selected by inputting the trigger information, the information about the member, and / or the position information of the member into this trained model.

3-5. Member Situation In one embodiment, when a member is selected, if the member has already participated in another talk room, it may be excluded from the selection target. In this case, when selecting a member, in addition to the above information, it is further based on information on whether or not the member has already participated in the existing talk room.

In another embodiment, when selecting a member, the member can be elected even if the member has already participated in another talk room. For example, when a talk room (first talk room) has already been formed, new trigger information may be received by the bot. Then, another talk room (second talk room) is formed, and in addition to the new members, members (part or all) of the first talk room may be elected.

3-6. In another embodiment of the environment sensor and subbot , the members elected by the bot do not necessarily have to be humans. For example, the environment sensor may include a subbot. Then, as shown in FIG. 10, the subbot may be managed in the same table as other human members. Subbots may be configured to post environmental information in response to posts from other members in the same talk room. For example, if the surveillance camera is equipped with a subbot, other members (eg, security guards) in the same talk room can post the content "upload a picture of the scene". The subbot can linguistically analyze the posted content. Further, the subbot can control the camera function of the surveillance camera and acquire a photograph according to the result of language analysis. Then, the subbot can post the acquired photo to the talk room.

By using the above mechanism, it is possible to acquire information from the environment sensor via the talk room. This enables quick information sharing. In addition, access is normally disabled and can be accessed only when needed (created by creating a talk room and posting to the environment sensor bot via the talk room). ).

When the bot selects a subbot provided by the environment sensor as a member, it may be based on position information (installation location in FIG. 10) or business information in the same manner as selecting a human member. , And other information may be used.

4. Application example The above method can be applied in various industries. In the following, some specific examples are shown.

4-1. Application Example 1 Airport For example, suppose an explosive is found at an airport. In this case, the airport staff (the type of job is not particularly limited and may be a cleaner or an usher) reports that the explosive has been found on the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. Then, in view of its importance, the bot selects members who have the title of leader of each group (cleaning group, security group, etc.) or higher. Also, staff members near where the explosives were found will be elected as members. In addition, staff involved in tasks such as reporting to the police and making announcements at the airport will also be selected as members.

In another example, suppose a deposit is found at an airport. In this case, airport staff will report that they have found a suspicious deposit on the communication terminal. The communication terminal generates trigger information and sends it to the bot. At this point, it is unclear whether it is a mere lost item, so it is less important than the above explosive example. If the bot decides to create a talk room, it will elect the leader of the security group and the staff of the security group near where the deposit was found. In addition, the trigger information may include information on the residence time of the retained material, and if it is less than a predetermined time, the calculated importance may be lower than the threshold value. As a result, the bot may decide not to generate a talk room.

Another example of the case where a deposit is found at the airport will be described. For example, a surveillance camera can include an image analysis module. Then, the image analysis module can detect a specific object, and can measure how many hours the object stays. When staying for a predetermined time or longer, the image analysis module can generate trigger information and send it to the bot. After that, the bot can generate a talk room and select members by the same procedure as above.

In another example, suppose an employee discovers that a celebrity has come to the airport informally. In this case, the airport will panic if people around you notice it, so the staff will first report the VIP visit on the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then elects senior members to deal directly with celebrities. In addition, in order to secure a route within the airport, staff members who are guarding the vicinity of the assumed route will be selected as members.

In another example, suppose an infrared camera detects an extremely hot person in an airport. In this case, the trigger information generation module built into the infrared camera generates the trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then selects as members staff to guide people with extremely high body temperature to the medical office and medical personnel to perform medical examinations.

In yet another example, it is assumed that some talk rooms are permanently installed with the staff in the airport as participating members. For example, a talk room may be formed for each business group. For example, a first talk room made up of members involved in security is permanently installed. Furthermore, there is a permanent second talk room formed by members involved in airplane maintenance. Furthermore, there is a permanent third talk room formed by members involved in services such as passenger guidance. Here, as described above, the surveillance camera detects a suspicious object that has stayed for a certain period of time or longer, and transmits trigger information to the bot. The bot creates a fourth talk room, with all members of the first talk room, some of the members of the second talk room (eg, the leader of the mechanic), and some of the members of the third talk room (eg, the leader of the mechanic). Passenger service leader) can be elected as part of the members.

In yet another example, the members of the first talk room include not only the guards but also the subbots of the surveillance cameras as members. Security guards can acquire images from surveillance cameras through postings in the talk room. However, the surveillance camera subbot is not a participating member of the second talk room and the third talk room. Therefore, normally, it is not possible to acquire the image of the surveillance camera at the request of the participating members of the second talk room and the third talk room.

Here, in response to the discovery of the suspicious object, a fourth talk room is generated. Then, as described above, a part of the second talk room member (for example, the leader of the mechanic) and a part of the third talk room member (passenger service leader) are elected as a part of the members. In addition, surveillance camera subbots will be elected as part of the members. As a result, some of the members of the second talk room can control the surveillance camera to post the video to the talk room by posting to the fourth talk room. This allows information on surveillance cameras that are normally inaccessible to be quickly shared only when needed.

4-2. Application example 2 Hospital For example, it is assumed that a specific infectious disease patient such as a malaria disease patient is brought in. In this case, the staff member who received the acceptance request from the ambulance reports that the infectious disease patient will come to the hospital by using the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then selects personnel, infectious disease specialists, nurses, etc. as members to secure a carry-in route to avoid contact with other patients.

In another example, it is assumed that a blood shortage or a medical device failure occurs during surgery. In this case, the staff in the operating room reports the occurrence of the incident by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. Then, the bot selects the staff in the operating room as members based on the location information. Furthermore, the bot can select staff for blood procurement, staff in charge of contact with medical device manufacturers, and the like as members.

4-3. Application example 3 Construction site For example, when an accident related to the weather is foreseen (for example, a gust, a tornado, etc.) or when an accident due to the collapse of materials is foreseen, the staff can use the communication terminal to check the possibility of the incident. Report. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot elects all members at the construction site to inform them of the danger.

In another example, it is assumed that a design change occurs due to a sudden request from the designer. The construction manager who received the request from the designer reports the occurrence of the design change by the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot can elect the construction manager and the leader of each construction group as members.

In another example, it is assumed that the material is delivered to the construction site. The worker reports by the communication terminal that the material is brought in. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot can select a person in charge of receiving goods, a person in charge of material management, a traffic guide near the construction site, and the like as members.

4-4. Application Example 4 Bus Operation For example, assume that a traffic accident occurs while driving a bus. The driver reports that a traffic accident has occurred by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. In addition to drivers, bots can elect other drivers on the same route, accident handling department leaders, and police station personnel.

Another example of a traffic accident will be described. For example, the bus may include one or more of a sound sensor, a surveillance camera (drive recorder), and a vibration sensor. The sound sensor can generate trigger information when it detects an impact sound above a certain level. The vibration sensor can generate trigger information when it detects vibration above a certain level. The surveillance camera can include an image analysis module. Then, the image analysis module can detect a traffic accident. Upon detecting a traffic accident, the image analysis module can generate trigger information. The generated trigger information can be sent to the bot. After that, the bot can generate a talk room and select members by the same procedure as above.

In another example, suppose a foreigner talks to an usher at a huge bus terminal in front of a station. The usher reports by communication terminal that he needs help from the foreigner. The bot receives the trigger information and determines that the talk room is to be generated. A bot is an information desk stationed in the same bus terminal, and can select people with language (English, etc.) skills as members.

In another example, suppose a sudden illness occurs on the bus. The driver reports that a sudden illness has occurred by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. In addition to the driver, the bot can elect other drivers running on the same route, the leader of the operation management section, and the person in charge of the fire department as members.

The specific embodiments of the present invention have been described above. The above-described embodiment is merely a specific example of the present invention, and the present invention is not limited to the above-described embodiment. For example, the technical features disclosed in one of the above embodiments can be applied to other embodiments. Further, unless otherwise specified, for a specific method, it is possible to replace some steps with the order of other steps, and an additional step may be added between the two specific steps. The scope of the present invention is defined by the claims.

10 bot 20 talk room 30 communication terminal 40 environment sensor

The present invention relates to systems, bots, and methods for information sharing.

In recent years, various communication tools have been introduced in business. Examples of communication tools include ChatWork®, Slack, and LINE WORKS.

These have the function of opening a virtual communication space called a talk room (or chat room). And it manages the members who can participate in the talk room.

Patent Document 1 discloses an information processing device, an information processing method, and a program that can collect, organize, and share on-site information in real time when a disaster or trouble occurs. Patent Document 2 discloses as an issue the provision of a mechanism for efficiently supporting failure resolution by setting up a chat room (examination room) necessary when a failure occurs.

JP-A-2018-165924 Japanese Unexamined Patent Publication No. 2018-08824

Although various communication tools are provided as described above, there are problems in business use. Taking an airport employee as an example, when a particular emergency occurs (for example, finding a suspicious object), the leader receives an emergency report from the scene. The leader then reviews the content of the report and decides whether to convene members. Then, when it is determined that it is necessary to convene members, a talk room is formed using a communication tool.

However, in the event of an emergency, prompt action is required, so there is a demand to minimize the loss of time until the talk room is formed.

One way to meet these demands is to set up one talk room in which all members participated without omission and keep it active at all times. However, when such a talk room is formed, information irrelevant to the individual members will always flow. Therefore, even if there is a new post in the talk room, there is a strong possibility that the prejudice that it is irrelevant to you will work. As a result, you may miss important information. This diminishes the effectiveness of communication.

In view of the above points, it is an object of the present disclosure to provide a communication method that guarantees speed and effectiveness, thereby improving productivity at work.

As a result of consideration by the inventor, he devised to manage the talk room using a bot. More specifically, we decided to provide the bot with information for judgment, and in response to this, let the bot make a judgment on the generation of the talk room. As a result, the talk room can be generated quickly. Also, since an active talk room is not always formed, it is possible for members to reduce the possibility of missing important information.

The present invention has been completed based on the above findings and includes the following inventions in one aspect.

(Invention 1)
It is a method of information sharing using the system.
The system includes a communication terminal and a bot.
The communication terminal can post to the talk room created by the bot.
The method is
Step A in which the bot receives the trigger information,
Step B, in which the bot determines whether or not to create a talk room based on the trigger information,
Only including,
The step B
Sub-process B1 in which the bot analyzes the trigger information and calculates the importance, and
Sub-step B2, in which the bot creates a talk room, based on comparing the importance with a preset threshold.
Including, way.

(Invention 2 )
The method of invention 1
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The method.

(Invention 3 )
The method of invention 1
The trigger information is information output by the communication terminal, and is
The step B involves the bot linguistically analyzing the trigger information to extract keywords.
The method.

(Invention 4 )
The method of invention 1
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The method.

(Invention 5 )
The method of invention 1
The step B
Step B1 that refers to the determination table based on the trigger information
Including
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The method.

(Invention 6 )
The method according to any one of Inventions 1 to 5 .
The method further comprises step C, in which the bot selects members to participate in the talk room after the talk room is created.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The method.

(Invention 7 )
The method of the invention 6 , wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 8 )
The method of invention 6 or 7 ,
The system is equipped with an environment sensor
The environment sensor includes a subbot and
The step C includes electing the subbot as a member.
The method.

(Invention 9 )
The method according to any one of Inventions 6 to 8 .
The step C includes selecting members who are participating in the existing talk room.
The method.

(Invention 10 )
An information sharing bot
The bot is communicably connected to a communication terminal and
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information .
The bot
It is configured to analyze the trigger information and calculate the importance, and
Based on the comparison between a predetermined threshold value set in advance and the importance, Ru is configured to create a talk room,
The bot.

(Invention 11 )
The bot of invention 10
The bot is communicably connected to the environment sensor and
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The bot.

(Invention 12 )
The bot of invention 10
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The bot.

(Invention 13 )
The bot of invention 10
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The bot.

(Invention 14 )
The bot of invention 10
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The bot.

(Invention 15 )
The bot according to any one of Inventions 10 to 14 .
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The bot.

(Invention 16 )
The bot of the invention 15 , wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 17 )
A bot according to the invention 15 or 16 , wherein the bot is configured so that a subbot included in an environment sensor can be selected as a member.

(Invention 18 )
The bot according to any one of Inventions 15 to 17 .
The bot is configured to elect members who are participating in an existing talk room.
The bot.

(Invention 19 )
It is an information sharing system
The system includes a bot and a communication terminal.
The communication terminal can post to the talk room created by the bot.
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information .
The bot
It is configured to analyze the trigger information and calculate the importance, and
Based on the comparison between a predetermined threshold value set in advance and the importance, Ru is configured to create a talk room,
The system.

(Invention 20 )
The system of invention 19
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The system.

(Invention 21 )
The system of invention 19
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The system.

(Invention 22 )
The system of invention 19
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The system.

(Invention 23 )
The system of invention 19
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The system.

(Invention 24 )
The system according to any one of Inventions 19 to 23 .
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The system.

(Invention 25 )
The system of the invention 24 , wherein the member's information includes at least one of the member's work, years of work, skills, job title, physical condition, attendance / leaving status, gender, age, and belongings.

(Invention 26 )
The system according to the invention 24 or 25 , wherein the bot is configured so that a subbot included in an environment sensor can be selected as a member.

(Invention 27 )
The system according to any one of Inventions 24 to 26 .
The bot is configured to elect members who are participating in an existing talk room.
The system.

In the above invention, the bot makes a determination as to whether or not to create a talk room based on the trigger information. As a result, the talk room can be formed quickly. This increases work efficiency and, as a result, productivity.

The configuration of the system in one embodiment is shown. The flow of opening a talk room in one embodiment is shown. In one embodiment, a screen of a communication terminal for generating trigger information is shown. In one embodiment, a table in which the keyword to be extracted and the event code are associated with each other is shown. In one embodiment, a determination table for whether or not to generate a talk room is shown. In one embodiment, the determination flow of whether or not to generate a talk room is shown. In one embodiment, a determination table for whether or not to generate a talk room is shown. A table for managing information about members in one embodiment is shown. A judgment table for member selection in one embodiment is shown. A table for managing information about members in one embodiment is shown. Members also include environment sensors (eg, surveillance cameras, thermography, etc.).

Hereinafter, specific embodiments for carrying out the present invention will be described. The following description is for facilitating the understanding of the present invention. That is, it is not intended to limit the scope of the present invention.

1. 1. System Configuration In one embodiment, the present invention relates to a system and a bot for information sharing. FIG. 1 shows the configuration of the system in one embodiment. The system includes at least a bot (10) and a communication terminal (30). If necessary, an environment sensor (40) may be provided. In addition, the bot can provide a virtual talk room (20). Each communication terminal can post to the talk room. Information can be shared between staff members through the talk room and each communication terminal.

1-1. A bot A "bot" is software, hardware, or a combination thereof for automating certain tasks or processes. The hardware corresponding to the bot is not particularly limited, and may be a general information processing device or the like. In addition, the information processing device may include a processor, a memory, a storage medium, a communication module, and the like. For example, the hardware corresponding to the bot may be a server, a personal computer, or the like.

The server is not particularly limited, and may be, for example, a cloud server. Alternatively, it may be an on-premises server.

In addition, the bot can have a function of determining whether or not to create a talk room based on the trigger information. The bot can be equipped with various modules to realize these functions. For example, the following modules can be provided.
-Analysis module for analyzing trigger information and calculating importance-First judgment module that determines whether to open a talk room based on comparing the importance with a predetermined threshold value set in advance. -Talk room management module for adding and / or deleting talk rooms, and adding and / or deleting member management. In addition to the first judgment module, or in the first judgment module. Alternatively, the bot may include a second determination module. The second determination module may be configured to refer to the determination table based on, for example, the trigger information.

Details of the functions of the above various modules will be described later.

1-2. Communication terminal A communication terminal is a device for use by individual staff. Typically, the communication terminal is preferably a portable and wireless communication terminal (for example, a smartphone or a tablet terminal) because individual staff members are constantly on the move to carry out their duties. It may be a headphone equipped with an earphone and a microphone).

Further, the communication terminal can communicate in any format. For example, text communication may be possible. Alternatively, voice communication may be possible. Alternatively, it may be a combination of both.

Where text communication is possible, the communication terminal can include a communication module, a keyboard (including a virtual keyboard displayed on a touch panel), and a display.

If voice communication is possible, the communication terminal may include a communication module, a microphone, and a speaker (including earphones and the like).

Further, if necessary, the communication terminal may include the same components as a general information processing device (for example, a processor, a memory, a storage medium, a communication module, and the like).

Further, the communication terminal can be provided with various modules for realizing a desired function. For example, the communication terminal can include a trigger information generation module for generating trigger information.

The number of communication terminals is not particularly limited, but typically, a plurality of communication terminals may be connected to the bot.

1-3. Environment Sensors The system may also include environment sensors, if desired. The environment sensor may be of one type or may have a plurality of types. Examples of the types of environment sensors include the following examples.
Temperature sensor, humidity sensor, pressure sensor, optical sensor, sound sensor, human sensor, vibration sensor, current sensor, voltage sensor, position sensor, switch sensor, surveillance camera, infrared camera, gas detector, fire alarm, magnetic sensor , And the key sensor The above sensors may be used in combination.

In addition, the environment sensor can be provided with a trigger information generation module for generating trigger information. The trigger information can include information that identifies the type of environment sensor and information sensed by the sensor (for example, temperature in the case of a temperature sensor, degree of brightness in the case of an optical sensor, and the like).

Further, the environment sensor can be provided with a communication module, and can be connected to the above-mentioned bot through the communication module.

In the next section, a method of generating a talk room using each of the above-mentioned components will be described in detail.

2. Formation of Talk Room In one embodiment, the present invention is a method of information sharing using a system. More specifically, a talk room is used for information sharing. The method includes the following steps.
-Step A in which the bot receives the trigger information
-Step B in which the bot determines whether or not to create a talk room based on the trigger information.

In a further embodiment, step B of the method can include the following sub-steps.
-Step B1 in which the bot analyzes the trigger information and calculates the importance.
-Step B2 in which the bot creates a talk room based on comparing the importance with a preset threshold.
A specific example is shown in FIG. Hereinafter, the specific example will be described in detail.

2-1. Generation of trigger information In the above step A, the bot receives the trigger information. The trigger information may be information generated by the communication terminal. Alternatively, the trigger information may be information generated by the environment sensor.

2-1-1. Generation of trigger information by the communication terminal First, the generation of the trigger information by the communication terminal will be described. The trigger information generated by the communication terminal may be in voice format or text format. Alternatively, it may be a combination of an arbitrary form command and an argument. Further, if necessary, the trigger information may include the position information of the communication terminal.

For example, if the trigger information is in audio or text format, the trigger information may be in natural language (eg, "I found a suspicious object in the toilet number X") and combine certain keywords. (For example, "suspicious object discovery, location, in toilet No. X").

Further, when the trigger information is a combination of an arbitrary format command and an argument, the arbitrary format command may correspond to the information instructing the opening of the talk room. Further, the argument may correspond to the purpose information for opening the talk room. Therefore, the generated trigger information may be, for example, information in the form of "OPEN_TALK_ROOM SUSPICIOUS_OBJECT". Also, as described above, the command format is arbitrary. Therefore, it is not limited to the character format. For example, the command format may be an icon format such as a LINE (registered trademark) stamp. Further, the command format may be a combination of a LINE stamp and a character.

When the trigger information is a combination of a command and an argument in an arbitrary format, for example, as shown in FIG. 3, a predetermined application may be installed on the communication terminal. Then, when the application is started, it may be configured so that the content to be reported can be selected. When the user of the communication terminal taps a button and selects the content to be reported, the trigger information corresponding to the selected button is generated.

Such trigger information generation may be generated by a trigger information generation module included in the communication terminal. The generated trigger information is transmitted from the communication terminal to the bot.

2-1-2. Generation of trigger information by the environment sensor If necessary, a person other than the communication terminal may generate the trigger information. Specifically, the environment sensor may generate trigger information. As described above, the trigger information generated by the environment sensor can include information that identifies the type of the environment sensor and information that the sensor senses. Further, if necessary, the trigger information may include the position information of the environment sensor. The generation of such trigger information may be generated by the trigger information generation module provided in the environment sensor. The generated trigger information is transmitted from the environment sensor to the bot.

2-2. The bot receives the trigger information The trigger information transmitted by the communication terminal or the environment sensor is received by the bot. The bot can be equipped with a communication module for receiving. After receiving, a predetermined process is executed based on the trigger information. The predetermined processing will be described in detail in the next section.

2-3. The bot analyzes the trigger information and calculates the importance. The bot analyzes the received trigger information and calculates the importance based on the received trigger information. For this purpose, the bot is equipped with an analysis module.

As described above, when the trigger information is the information generated by the communication terminal and is in the form of natural language, the analysis module can perform language analysis. For example, the analysis module can match the trigger information in the natural language form with the keyword registered in advance and perform keyword extraction. The analysis module can access the database for keyword extraction (Fig. 4). The database for keyword extraction may be, for example, a table format. In addition, keywords to be extracted can be registered in advance in the database. Furthermore, the event code corresponding to the keyword to be extracted can be associated and registered. In the case of natural language, language fluctuations can occur (eg fires and fires). However, by registering a plurality of keywords representing the same concept in advance, it is possible to avoid the problem of language fluctuation.

For keyword extraction, the trigger information is preferably in text format. Therefore, when the trigger information is in the voice data format, the analysis module may convert it into the text format by using the voice recognition technique.

After extracting the keywords, the analysis module can generate the event code corresponding to the extracted keywords (for example, using the correspondence table of FIG. 4).

If the trigger information is information generated by the communication terminal and is in the form of a combination of predetermined keywords, the problem of language fluctuation is unlikely to occur, so even if the analysis module calculates the importance as it is. Good. Alternatively, it may be converted into an event code in the same manner as above.

Even when the trigger information is the information generated by the environment sensor, the problem of the above-mentioned language fluctuation is unlikely to occur, so that the analysis module may calculate the importance as it is. Alternatively, it may be converted into an event code in the same manner as above.

The calculation of importance by the analysis module may be rule-based. Alternatively, artificial intelligence (for example, machine learning, especially deep learning) may be used.

In the case of rule-based, for example, the determination table shown in FIG. 5 may be used. For example, the trigger information transmitted from the communication terminal and / or the environment sensor corresponds to the event code and the parameter in the determination table of FIG. The parameters correspond to the values sensed by the environment sensor. If the detected values are used as they are, it is not possible to form a hierarchy regarding the importance of the values detected by other types of environment sensors (for example, 50 ° C indicated by a thermometer and 50% indicated by a hygrometer are simply compared by the magnitude of the numerical value. The parameters may preferably be normalized. Importance is assigned to the judgment table according to the event code or the combination of the event code and the parameter (for example, in the case of a vibration sensor, the importance varies depending on the magnitude of the detected vibration. Allocate). Therefore, based on this, the analysis module can calculate the importance corresponding to the trigger information. Further, in addition to the determination table, for example, as shown in FIG. 6, a code corresponding to the determination flow may be implemented. Then, the importance may be determined by executing the code.

Further, in the case of calculating the importance by artificial intelligence, a large amount of teacher data based on the combination of the trigger information (or the event code and the parameter shown in FIG. 5) and the importance is prepared and trained in advance. Then, the importance can be calculated by inputting the trigger information into this trained model. The importance is sent from the analysis module to the judgment module.

2-4. After calculating the importance by comparing the importance with a predetermined threshold value set in advance , the determination module compares the importance with the threshold value. Based on this, it is determined whether or not to create a talk room. For example, it may be determined that a talk room is created when the importance exceeds a predetermined threshold value. In another example, it may be determined that a talk room is created when the importance falls below a predetermined threshold. Further, the threshold value can be set in advance and may be appropriately changed depending on the situation.

2-5. After bot determination is made of creating a generation talk room talk room, (more specifically, talk room management module provided in the bot) bot may create a new talk room. If it is determined not to create the talk room, the user may continue to wait until new trigger information is received.

2-6. Other determination methods for creating a talk room In the above method, the bot calculates the importance after receiving the trigger. However, in other ways, the bot may decide whether to create a talk room. For example, the bot may include a determination table. The determination table may be a table in which a pair is formed by the trigger information and the determination flag as to whether or not to create a talk room (FIG. 7). After receiving the trigger information, the bot may refer to the determination table, acquire the flag, and create a talk room based on the content of the flag. For example, in the case of "suspicious object discovery residence time 1 hour", it is possible to decide not to create a talk room for the reason of waiting for a while. On the other hand, for example, in the case of "suspicious object discovery residence time of 2 hours", it can be determined that a talk room is created because there is a risk of leaving it unattended any longer.

In a preferred embodiment, when the determination table as shown in FIG. 7 is used, it is preferable that the information trigger is in a form in which the problem of language fluctuation is unlikely to occur. Therefore, as described above, it is preferable that the trigger information is information generated by the communication terminal and is in the form of a combination of predetermined keywords. Alternatively, the trigger information is preferably a combination of an arbitrary form of command and arguments.

3. 3. Selection of members in the talk room After the talk room is generated, the members who participate in the talk room can be decided. Normally, a user who has the authority to manage the talk room sets the members. However, in the method of the present disclosure in one embodiment, the bot (more specifically, the talk room management module provided by the bot) can select members to participate in the talk room.

When a bot selects a member, it may be based on trigger information. In addition to this, the bot may select members based on pre-registered member information and / or member location information. The information on which the members are selected will be described in detail below.

3-1. Selection of members based on trigger information
Trigger information is important information when selecting members. For example, when the trigger information is the discovery of a suspicious object, security personnel and fire fighting personnel need to participate as members. For example, if the trigger information is a fever patient, medical personnel need to participate as members.

3-2. Selection of members based on pre-registered member information
Information about members is also important information when selecting members. Information about such members may be registered in a database or the like in advance. Specific examples of information about a member include at least one of the member's work, years of work, skills, job title, physical condition, attendance / leaving status, gender, age, and belongings.

Appropriate members can change depending on the trigger information. Regarding the example of the member's work, if the trigger information is a suspicious object found, it is necessary to select a security person and a firefighter as the member's work. For example, when the trigger information is a fever patient, it is necessary to select a medical person as a member's job.

Regarding the skills of members, for example, when the trigger information is VIP visit, it is preferable to exclude members who are inexperienced in skills.

Regarding the job title of the member, for example, when the trigger information is a VIP visit, a member having a high job title as a member who directly contacts the VIP is preferable.

Regarding the physical condition of the members, for example, when the trigger information is such that a suspicious person is rampaging, it is preferable to avoid the members who are not in good physical condition.

Regarding the attendance / leaving status of members, for example, when the trigger information is bomb disposal, it may take time to resolve, so it is preferable to avoid members who are scheduled to leave after a few hours.

Regarding the gender of the members, for example, when the trigger information is related to a place where only women can enter (for example, nursing room, women's toilet, etc.), it is preferable to avoid the members whose gender is male.

Regarding the age of members, for example, when the trigger information is related to work requiring physical strength (for example, going up and down an emergency staircase, running to a remote place, etc.), it is better to select a member who is relatively young.

Regarding the belongings of the members, for example, when the trigger information is an abnormality in the temperature of the equipment, a photograph of the site or the like is required, so it is preferable to select a member who has a shooting tool.

3-3. Selection of members based on member location information
In addition, the position information of the members is also important information in selecting the members. For example, if the trigger information is relevant to a particular location, it is preferable that members near that location be elected. Each member possesses a communication terminal during work, and the communication terminal can transmit location information to the bot. Therefore, the bot can manage the position information of the member in real time.

3-4. Mechanism for selecting members The information that is the basis for selecting members is as described above. Other than that, the method of selecting members is not particularly limited and may be rule-based. Alternatively, artificial intelligence (for example, machine learning, especially deep learning) may be used.

In the rule-based case, for example, as shown in FIG. 8, the bot can access the database that manages the members and obtain information about the members. Further, as separately shown in FIG. 9, the member selection conditions corresponding to each event may be managed in a table. Then, the talk room management module can select members by referring to the table of member selection conditions and the table of information about members.

Further, as a method other than using the table, the talk room management module may select a member by using a judgment flow similar to the judgment flow as shown in FIG.

In the case of member selection by artificial intelligence, a large amount of teacher data is obtained by combining trigger information (or event code and parameter shown in FIG. 5), member information and / or member position information, and the selected member. Prepare and let them learn in advance. Then, a member can be selected by inputting the trigger information, the information about the member, and / or the position information of the member into this trained model.

3-5. Member Situation In one embodiment, when a member is selected, if the member has already participated in another talk room, it may be excluded from the selection target. In this case, when selecting a member, in addition to the above information, it is further based on information on whether or not the member has already participated in the existing talk room.

In another embodiment, when selecting a member, the member can be elected even if the member has already participated in another talk room. For example, when a talk room (first talk room) has already been formed, new trigger information may be received by the bot. Then, another talk room (second talk room) is formed, and in addition to the new members, members (part or all) of the first talk room may be elected.

3-6. In another embodiment of the environment sensor and subbot , the members elected by the bot do not necessarily have to be humans. For example, the environment sensor may include a subbot. Then, as shown in FIG. 10, the subbot may be managed in the same table as other human members. Subbots may be configured to post environmental information in response to posts from other members in the same talk room. For example, if the surveillance camera is equipped with a subbot, other members (eg, security guards) in the same talk room can post the content "upload a picture of the scene". The subbot can linguistically analyze the posted content. Further, the subbot can control the camera function of the surveillance camera and acquire a photograph according to the result of language analysis. Then, the subbot can post the acquired photo to the talk room.

By using the above mechanism, it is possible to acquire information from the environment sensor via the talk room. This enables quick information sharing. In addition, access is normally disabled and can be accessed only when needed (created by creating a talk room and posting to the environment sensor bot via the talk room). ).

When the bot selects a subbot provided by the environment sensor as a member, it may be based on position information (installation location in FIG. 10) or business information in the same manner as selecting a human member. , And other information may be used.

4. Application example The above method can be applied in various industries. In the following, some specific examples are shown.

4-1. Application Example 1 Airport For example, suppose an explosive is found at an airport. In this case, the airport staff (the type of job is not particularly limited and may be a cleaner or an usher) reports that the explosive has been found on the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. Then, in view of its importance, the bot selects members who have the title of leader of each group (cleaning group, security group, etc.) or higher. Also, staff members near where the explosives were found will be elected as members. In addition, staff involved in tasks such as reporting to the police and making announcements at the airport will also be selected as members.

In another example, suppose a deposit is found at an airport. In this case, airport staff will report that they have found a suspicious deposit on the communication terminal. The communication terminal generates trigger information and sends it to the bot. At this point, it is unclear whether it is a mere lost item, so it is less important than the above explosive example. If the bot decides to create a talk room, it will elect the leader of the security group and the staff of the security group near where the deposit was found. In addition, the trigger information may include information on the residence time of the retained material, and if it is less than a predetermined time, the calculated importance may be lower than the threshold value. As a result, the bot may decide not to generate a talk room.

Another example of the case where a deposit is found at the airport will be described. For example, a surveillance camera can include an image analysis module. Then, the image analysis module can detect a specific object, and can measure how many hours the object stays. When staying for a predetermined time or longer, the image analysis module can generate trigger information and send it to the bot. After that, the bot can generate a talk room and select members by the same procedure as above.

In another example, suppose an employee discovers that a celebrity has come to the airport informally. In this case, the airport will panic if people around you notice it, so the staff will first report the VIP visit on the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then elects senior members to deal directly with celebrities. In addition, in order to secure a route within the airport, staff members who are guarding the vicinity of the assumed route will be selected as members.

In another example, suppose an infrared camera detects an extremely hot person in an airport. In this case, the trigger information generation module built into the infrared camera generates the trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then selects as members staff to guide people with extremely high body temperature to the medical office and medical personnel to perform medical examinations.

In yet another example, it is assumed that some talk rooms are permanently installed with the staff in the airport as participating members. For example, a talk room may be formed for each business group. For example, a first talk room made up of members involved in security is permanently installed. Furthermore, there is a permanent second talk room formed by members involved in airplane maintenance. Furthermore, there is a permanent third talk room formed by members involved in services such as passenger guidance. Here, as described above, the surveillance camera detects a suspicious object that has stayed for a certain period of time or longer, and transmits trigger information to the bot. The bot creates a fourth talk room, with all members of the first talk room, some of the members of the second talk room (eg, the leader of the mechanic), and some of the members of the third talk room (eg, the leader of the mechanic). Passenger service leader) can be elected as part of the members.

In yet another example, the members of the first talk room include not only the guards but also the subbots of the surveillance cameras as members. Security guards can acquire images from surveillance cameras through postings in the talk room. However, the surveillance camera subbot is not a participating member of the second talk room and the third talk room. Therefore, normally, it is not possible to acquire the image of the surveillance camera at the request of the participating members of the second talk room and the third talk room.

Here, in response to the discovery of the suspicious object, a fourth talk room is generated. Then, as described above, a part of the second talk room member (for example, the leader of the mechanic) and a part of the third talk room member (passenger service leader) are elected as a part of the members. In addition, surveillance camera subbots will be elected as part of the members. As a result, some of the members of the second talk room can control the surveillance camera to post the video to the talk room by posting to the fourth talk room. This allows information on surveillance cameras that are normally inaccessible to be quickly shared only when needed.

4-2. Application example 2 Hospital For example, it is assumed that a specific infectious disease patient such as a malaria disease patient is brought in. In this case, the staff member who received the acceptance request from the ambulance reports that the infectious disease patient will come to the hospital by using the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot then selects personnel, infectious disease specialists, nurses, etc. as members to secure a carry-in route to avoid contact with other patients.

In another example, it is assumed that a blood shortage or a medical device failure occurs during surgery. In this case, the staff in the operating room reports the occurrence of the incident by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. Then, the bot selects the staff in the operating room as members based on the location information. Furthermore, the bot can select staff for blood procurement, staff in charge of contact with medical device manufacturers, and the like as members.

4-3. Application example 3 Construction site For example, when an accident related to the weather is foreseen (for example, a gust, a tornado, etc.) or when an accident due to the collapse of materials is foreseen, the staff uses a communication terminal to inform the possibility of the occurrence of the incident. Report. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot elects all members at the construction site to inform them of the danger.

In another example, it is assumed that a design change occurs due to a sudden request from the designer. The construction manager who received the request from the designer reports the occurrence of the design change by the communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot can elect the construction manager and the leader of each construction group as members.

In another example, it is assumed that the material is delivered to the construction site. The worker reports by the communication terminal that the material is brought in. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. The bot can select a person in charge of receiving goods, a person in charge of material management, a traffic guide near the construction site, and the like as members.

4-4. Application Example 4 Bus Operation For example, assume that a traffic accident occurs while driving a bus. The driver reports that a traffic accident has occurred by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. In addition to drivers, bots can elect other drivers on the same route, accident handling department leaders, and police station personnel.

Another example of a traffic accident will be described. For example, the bus may include one or more of a sound sensor, a surveillance camera (drive recorder), and a vibration sensor. The sound sensor can generate trigger information when it detects an impact sound above a certain level. The vibration sensor can generate trigger information when it detects vibration above a certain level. The surveillance camera can include an image analysis module. Then, the image analysis module can detect a traffic accident. Upon detecting a traffic accident, the image analysis module can generate trigger information. The generated trigger information can be sent to the bot. After that, the bot can generate a talk room and select members by the same procedure as above.

In another example, suppose a foreigner talks to an usher at a huge bus terminal in front of a station. The usher reports by communication terminal that he needs help from the foreigner. The bot receives the trigger information and determines that the talk room is to be generated. A bot is an information desk stationed in the same bus terminal, and can select people with language (English, etc.) skills as members.

In another example, suppose a sudden illness occurs on the bus. The driver reports that a sudden illness has occurred by means of a communication terminal. The communication terminal generates trigger information and sends it to the bot. The bot receives the trigger information and determines that the talk room is to be generated. In addition to the driver, the bot can elect other drivers running on the same route, the leader of the operation management section, and the person in charge of the fire department as members.

The specific embodiments of the present invention have been described above. The above-described embodiment is merely a specific example of the present invention, and the present invention is not limited to the above-described embodiment. For example, the technical features disclosed in one of the above embodiments can be applied to other embodiments. Further, unless otherwise specified, for a specific method, it is possible to replace some steps with the order of other steps, and an additional step may be added between the two specific steps. The scope of the present invention is defined by the claims.

10 bot 20 talk room 30 communication terminal 40 environment sensor

Claims (30)

It is a method of information sharing using the system.
The system includes a communication terminal and a bot.
The communication terminal can post to the talk room created by the bot.
The method is
Step A in which the bot receives the trigger information,
Step B, in which the bot determines whether or not to create a talk room based on the trigger information,
Including methods. The method of claim 1
The step B
Sub-process B1 in which the bot analyzes the trigger information and calculates the importance, and
Sub-step B2, in which the bot creates a talk room, based on comparing the importance with a preset threshold.
The method comprising. The method of claim 2
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The method. The method of claim 2
The trigger information is information output by the communication terminal, and is
The step B involves the bot linguistically analyzing the trigger information to extract keywords.
The method. The method of claim 2
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The method. The method of claim 1
The step B
Step B1 that refers to the determination table based on the trigger information
Including
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The method. The method according to any one of claims 1 to 6.
The method further comprises step C, in which the bot selects members to participate in the talk room after the talk room is created.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The method. The method according to claim 7, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings. The method of claim 7 or 8.
The system is equipped with an environment sensor
The environment sensor includes a subbot and
The step C includes electing the subbot as a member.
The method. The method according to any one of claims 7 to 9.
The step C includes selecting members who are participating in the existing talk room.
The method. An information sharing bot
The bot is communicably connected to a communication terminal and
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information.
The bot. The bot of claim 11
The bot
It is configured to analyze the trigger information and calculate the importance, and
A talk room is configured to be created based on comparing the importance with a preset threshold.
The bot. The bot of claim 12
The bot is communicably connected to the environment sensor and
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The bot. The bot of claim 12
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The bot. The bot of claim 12
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The bot. The bot of claim 11
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The bot. The bot according to any one of claims 11 to 16.
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The bot. The bot according to claim 17, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings. The bot according to claim 17 or 18, wherein the bot is configured so that a sub-bot provided by an environment sensor can be elected as a member. The bot according to any one of claims 17 to 19.
The bot is configured to elect members who are participating in an existing talk room.
The bot. It is an information sharing system
The system includes a bot and a communication terminal.
The communication terminal can post to the talk room created by the bot.
The bot
Configured to receive trigger information
It is configured to make a judgment as to whether or not to create a talk room based on the trigger information.
The system. The system of claim 21
The bot
It is configured to analyze the trigger information and calculate the importance, and
A talk room is configured to be created based on comparing the importance with a preset threshold.
The system. The system of claim 22
The system further comprises an environment sensor.
The trigger information is information output by the environment sensor.
The environmental sensors include temperature sensors, humidity sensors, pressure sensors, optical sensors, sound sensors, human sensor, vibration sensors, current sensors, voltage sensors, position sensors, switch sensors, surveillance cameras, infrared cameras, gas detectors, and fires. One or more selected from alarms, magnetic sensors, and key sensors,
The system. The system of claim 22
The trigger information is information output by the communication terminal, and is
The bot is configured to linguistically analyze trigger information to extract keywords.
The system. The system of claim 22
The trigger information is information output by the communication terminal, and is
The trigger information includes the instruction information for opening the talk room and the purpose information for opening the talk room.
The system. The system of claim 21
The bot is configured to refer to a determination table based on the trigger information.
In the determination table, the trigger information and the determination flag as to whether or not to create a talk room are stored as a pair.
The system. The system according to any one of claims 21 to 26.
After creating the talk room, the bot is configured to select members to participate in the talk room.
The election is based on the trigger information.
The election is further based on pre-registered member information and / or member location information.
The system. The system according to claim 27, wherein the member's information includes at least one of the member's work, years of work, skill, job title, physical condition, attendance / leaving status, gender, age, and belongings. The system according to claim 27 or 28, wherein the bot is configured so that a subbot included in an environment sensor can be elected as a member. The system according to any one of claims 27 to 29.
The bot is configured to elect members who are participating in an existing talk room.
The system.