Work management device, work management system, work management method, and work management program

Abstract

To provide a work planning system capable of performing work such as cleaning at appropriate timing according to a place where the work is performed and the situation of a person present there.SOLUTION: The work planning system includes a work management device that instructs the robot cleaner to perform cleaning, and the work management device acquires attribute information regarding a space such as a room to be cleaned and a person present in the space such as a room and information regarding a situation of a work target space or an object, creates a cleaning plan on the basis of the information, and instructs the robot cleaner to perform work regarding cleaning on the basis of the created cleaning plan. The human-related attribute information is information such as the number of people present in the room and whether the people are at work, sleeping, or having a meal.SELECTED DRAWING: Figure 10

Description

[Technical Field]

[0001] The present invention relates to a work management system, and more particularly to a work management system suitable for creating an appropriate cleaning work plan for a robot cleaner in accordance with the cleaning situation of the room and the person in the room, and for instructing the robot cleaner to perform cleaning work. [Background technology]

[0002] In recent years, so-called robot vacuum cleaners, which automatically or heteronomously move around a room to clean floors, have become popular. This is disclosed, for example, in Patent Document 1. In the technology described in Patent Document 1, the vacuum cleaner automatically detects the presence of dust and dirt using a dirt detection means, and starts cleaning when the detected amount is equal to or greater than a predetermined value. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-58256 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in Patent Document 1 focuses on the amount of dust and dirt in the area to be cleaned as a trigger for starting cleaning.

[0005] However, when deciding when to start cleaning, various factors must generally be taken into consideration. For example, in the method described in Patent Document 1, cleaning may not be performed when there is a high urgency to immediately clean due to factors other than the amount of garbage. Also, cleaning may not be desirable when the room is overcrowded. Furthermore, cleaning with a vacuum cleaner may be started even when it is not desirable to start cleaning because the people in the room are working or sleeping.

[0006] An object of the present invention is to provide a work planning system that can perform work such as cleaning at appropriate timing depending on the location where the work is to be performed and the situation of the people present there. [Means for solving the problem]

[0007] The configuration of the work management device of the present invention preferably includes a work-related information acquisition means for acquiring at least one of attribute information regarding the work target space and the vicinity of the work target space, attribute information regarding the work target space and objects existing in the vicinity of the work target space, and information regarding the status of the work target space or objects, a work plan creation unit for creating a work plan based on the information acquired by the work-related information acquisition means, and a work instruction unit for instructing the created work plan to the work execution entity. [Effects of the Invention]

[0008] According to the present invention, it is possible to provide a work planning system that can perform work such as cleaning at appropriate times depending on the location where the work is to be performed and the situation of the people present there. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is an overall configuration diagram of a work management system according to a first embodiment. [Figure 2] FIG. 1 is a diagram illustrating an image of how a work management system according to a first embodiment is used. [Figure 3] FIG. 2 is a functional configuration diagram of the work management device. [Figure 4] FIG. 2 is a functional configuration diagram of the robot vacuum cleaner. [Figure 5] FIG. 2 is a hardware configuration diagram of the work management device. [Figure 6] FIG. 2 is a diagram illustrating an example of an image recognition result table according to the first embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of a cleaning area management table. [Figure 8] FIG. 3 is a diagram illustrating an example of a cleaning schedule table according to the first embodiment. [Figure 9]FIG. 10 is a diagram illustrating an example of a cleaning instruction command. [Figure 10] FIG. 2 is a sequence diagram showing a series of processes in the work management system. [Figure 11] FIG. 10 is a diagram illustrating an example of an image recognition result table according to the second embodiment. [Figure 12] FIG. 10 is a diagram illustrating an example of a cleaning schedule table according to the second embodiment. [Figure 13] FIG. 11 is a diagram illustrating an example of a cleaning schedule table according to the third embodiment. [Figure 14] FIG. 13 is a diagram illustrating an example of an image recognition result table according to the fourth embodiment. [Figure 15] FIG. 13 is a diagram illustrating an example of a cleaning schedule table according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, each embodiment of the present invention will be described with reference to FIGS.

[0011] [Embodiment 1] A first embodiment of the present invention will be described below with reference to FIGS. In this embodiment, the task management device creates a cleaning plan (task plan) based on attribute information about the space to be cleaned (task space) and objects present in the vicinity of the space to be cleaned, and information about the status of the space to be cleaned and those objects. An example will be described in which the task management device then instructs a cleaning execution entity (task execution entity) about the plan. In this embodiment, the space to be cleaned and the surrounding space refer to the unit in which cleaning is performed, such as a room in a house or a lodging facility. Furthermore, the objects present in the space to be cleaned and the surrounding space considered in this embodiment are, for example, the occupants of the room or people in the lodging facility. In this embodiment, if a situation is detected in which there are a large number of people in the space to be cleaned or cleaning is disruptive to people, the timing of cleaning is changed, thereby enabling cleaning to be performed without causing discomfort to people or disrupting their work. Furthermore, the cleaning execution entity is, for example, a robot vacuum cleaner that performs cleaning based on an instructed cleaning plan. However, the cleaning execution entity may also be a worker who performs cleaning based on the cleaning plan.

[0012] First, the configuration of the work management system according to the first embodiment will be described with reference to FIGS. FIG. 1 is a diagram illustrating the overall configuration of a work management system according to the first embodiment.

[0013] 1, the work management system according to the first embodiment has a configuration in which a work management device 100, a camera 30, and an access point 20 are connected via a network 5. The access point 20 and a robot vacuum cleaner 200 are also connected wirelessly.

[0014] The robot vacuum cleaner 200 is a device that performs cleaning autonomously or under heteronomous control from an external device. The camera 30 takes still or video images of the space to be cleaned periodically or upon receiving an external command, and transmits data related to the captured images to the work management device 100. The access point 20 is a communication device that communicates with the robot vacuum cleaner 200 using a protocol such as the Wi-Fi standard (IEEE 802.11b, a, g, n, ac, ax). The charging station 15 is a device that charges the robot vacuum cleaner 200 and stores the robot vacuum cleaner 200 when it is not in operation.

[0015] The work management device 100 is an information processing device that creates a cleaning plan for the robot vacuum cleaner 200 and provides appropriate instructions for cleaning. In the example of Fig. 1, the robot vacuum cleaner 200 and the work management device 100 communicate with each other via an access point 20, but the work management device 100 and the robot vacuum cleaner 200 may also be directly connected to each other using a protocol such as Bluetooth (registered trademark).

[0016] Next, we will explain how to use the work management system using Figure 2. FIG. 2 is a diagram illustrating an image of how the work management system according to the first embodiment is used.

[0017] In this embodiment, the inside of the building 1 is a predetermined area in which the robot vacuum cleaner 200 moves autonomously or heteronomously. Room 101 R101 is a room as an object within the building that exists within the inside of the building 1. The same is true for rooms 102 R102, 103 R103, and so on. The robot vacuum cleaner 200 moves autonomously or heteronomously in response to external instructions within the inside of the building 1, such as an apartment building or an office building, and cleans rooms 101 R101, 102 R102, 103 R103, and so on, based on instructions in a created cleaning plan.

[0018] Next, the configuration of each component of the work management device will be described with reference to FIGS. FIG. 3 is a functional configuration diagram of the work management device. Figure 4 is a functional configuration diagram of a robot vacuum cleaner.

[0019] As shown in Figure 3, the work management device 100 has a functional configuration including a network I / F unit 101, a camera I / F unit 102, a vacuum cleaner I / F unit 103, an image recognition unit 110, a cleaning plan creation unit 120, a cleaning work instruction unit 130, and a memory unit 140.

[0020] The network I / F unit 101 is a functional unit that performs interface processing on the network 5. The camera I / F unit 102 is a functional unit that performs interface processing with the camera 30. The vacuum cleaner I / F unit 103 is a functional unit that performs interface processing with the robot vacuum cleaner 200. The image recognition unit 110 is a functional unit that performs image recognition on still images and videos transmitted from the camera 30 and extracts information. The cleaning plan creation unit 120 is a functional unit (work plan creation unit) that creates a cleaning plan to be executed by the robot vacuum cleaner 200 based on currently obtained information and predetermined rules (described in detail below). The cleaning work instruction unit 130 is a functional unit that issues instructions to the robot vacuum cleaner 200 based on the cleaning plan created by the cleaning plan creation unit 120. Here, the camera 30 that acquires still images and videos and the image recognition unit 110 function as work-related information acquisition means that acquires related information about cleaning through image recognition. The memory unit 140 is a functional unit that stores data required for the work management device 100 and a cleaning management program (work management program).

[0021] As shown in FIG. 4, the robot cleaner 200 is functionally configured with a wireless I / F unit 201, a control unit 210, a sensor unit 220, a driving unit 230, and a cleaning unit 240.

[0022] The wireless I / F unit 201 is a functional unit that performs wireless communication with the access point 20. The control unit 210 is a functional unit that controls the robot vacuum cleaner 200 autonomously or based on commands from an external source. The sensor unit 220 is a functional unit that detects and captures information from an external source, such as an optical sensor, a position sensor, and an acceleration sensor. The drive unit 230 is a functional unit that drives the robot vacuum cleaner 200 and includes drive wheels, a drive shaft, gears, a motor, and the like. The cleaning unit 240 is a functional unit that performs cleaning-related processes such as wiping with a brush, suction of dirt and dust, cleaning by blowing air, and spraying detergent.

[0023] Next, the hardware configuration of the work management device will be described with reference to FIG. FIG. 5 is a hardware configuration diagram of the work management device.

[0024] The work management device 100 is a general information processing device such as a PC (Personal Computer), tablet, or smartphone, and as shown in Figure 5, its hardware configuration is a configuration in which a CPU (Central Processing Unit) 301, RAM (Read Only Memory) 302, ROM (Read Access Memory) 303, auxiliary memory I / F 304, input / output I / F 305, display I / F 306, and network I / F 307 are connected by a bus.

[0025] The CPU 301 is a semiconductor device that controls each unit of the work management apparatus 100, executes programs loaded into the RAM 302, and performs various processes. The RAM 302 is a semiconductor device that operates as a main memory device and temporarily stores programs and work data. The ROM 303 is a semiconductor device in which basic programs such as BIOS are written. The auxiliary memory I / F 304 is an interface that connects an auxiliary memory device such as an HDD (Hard Disk Drive) 310 or an SSD (Solid State Drive). The input / output I / F 305 is an interface that connects a device that inputs and outputs information, such as a USB (Universal Serial Bus). In the example of FIG. 5, a keyboard 320 and a mouse 330 are connected. The display I / F 306 is an interface that connects a display device 340 such as an LCD (Liquid Crystal Display). The network I / F 307 is an interface that connects to the network 5, through which images from the camera 30, status information and sensor information from the robot vacuum cleaner 200, and instruction commands are transmitted to the robot vacuum cleaner 200.

[0026] The HDD 310 is a device that magnetically stores large amounts of information. The HDD 310 of the document management device 100 stores an image recognition result table 400, a cleaning area management table 401, a cleaning schedule table 402I, and a cleaning instruction command 403. Details of each table are described below.

[0027] Next, the data structure used in the work management system of this embodiment will be described with reference to FIGS. FIG. 6 is a diagram illustrating an example of the image recognition result table according to the first embodiment. FIG. 7 is a diagram illustrating an example of the cleaning area management table. FIG. 8 is a diagram illustrating an example of a cleaning schedule table according to the first embodiment. FIG. 9 is a diagram illustrating an example of a cleaning instruction command.

[0028] The image recognition result table 400 is a table that organizes and stores the results of image recognition of still images or videos captured by the camera 30. As shown in Fig. 6, the image recognition result table 400 is made up of fields for a recognition item 400a, a recognition area 400b, an image acquisition date and time 400c, and a recognition result 400d.

[0029] The recognition item 400a stores the item to be recognized by image. The recognition area 400b stores the ID or coordinate information of the area to be recognized by image. The image acquisition date / time 400c stores the date and time when the image to be recognized was acquired by the camera 30 in the format yyyymmddhh:mm:ss. The recognition result 400d stores the result of image recognition for the item listed in the recognition item 400a.

[0030] In this embodiment, for example, a record is stored in which the recognition result is "two people" for the recognition item 400a for "number of people in target space." This indicates that two people were present in the area shown in the recognition area 400b through image recognition. Also, for example, a record is stored in which the recognition result is "working (desk work)" for the recognition item 400a for "person state in target space." This indicates that a person was present in the area shown in the recognition area 400b through image recognition, doing desk work.

[0031] The cleaning area management table 401 is a table for managing cleaning areas (spaces to be cleaned) assigned to the robot cleaner 200. As shown in Fig. 7, the cleaning area management table 401 has fields for a cleaner ID 401a and a cleaning area 401b.

[0032] The cleaner ID 401a stores an ID that uniquely identifies the robot cleaner 200. The cleaning area 401b stores an ID or coordinate information that indicates the cleaning area that is in charge of the robot cleaner 200 with the ID indicated in the cleaner ID 401a.

[0033] The cleaning schedule table 402I is a table that defines rules for creating a cleaning schedule to be instructed to the robot cleaner 200 by the work management apparatus 100 from information currently obtained from the robot cleaner 200.

[0034] As shown in FIG. 8, the cleaning schedule table 402I has fields for rule ID 402Ia, final cleaning time condition 402Ib, target space number of people condition 402Ic, target space person state condition 402Id, cleaning instructions 402Ie, and cleaning method 402If.

[0035] The rule ID 402Ia stores an identifier that uniquely identifies a rule defined in the cleaning schedule table. The final cleaning time condition 402Ib stores the upper limit of the final time from the current time that the robot vacuum cleaner 200 waits without cleaning. If the robot vacuum cleaner 200's final cleaning time up to the current time is greater than this value, it is determined that the rule's condition for starting cleaning is met. This is because when this value is small, cleaning has been performed recently and cleaning is considered less necessary, while when this value is large, cleaning is considered necessary because the room has become more dirty. The target space number of people condition 402Ic stores the number of people present in the space to be cleaned. As a rule, when the number of people present in the space to be cleaned is large, the robot vacuum cleaner 200 is prevented from cleaning as much as possible. The target space person status condition 402Id stores the behavioral status of people present in the space to be cleaned. For example, if the system detects that the person in the room is working, eating, or sleeping, it will refrain from cleaning as much as possible to avoid disturbing the person and to ensure that they can stay comfortable.

[0036] The final cleaning time condition 402Ib, the target space number of people condition 402Ic, and the target space person state condition 402Id are AND conditions, and the rule is applied when all of them are satisfied.

[0037] The cleaning instruction 402Ie stores an instruction regarding an operation to be given to the robot vacuum cleaner 200. When this value is "cleaning completed", the robot vacuum cleaner 200 performing the cleaning operation returns to the charging station 15, starts charging, and ends the cleaning operation. When this value is "cleaning interrupted", the robot vacuum cleaner 200 performing the cleaning operation stops temporarily and interrupts the cleaning. After the interruption, the latest status is judged after a certain time (e.g., 5 minutes), and when the condition is met a certain number of times (e.g., 5 times), the robot vacuum cleaner 200 performs the "cleaning completed" operation. When this value is "cleaning started", the robot vacuum cleaner 200 performs cleaning according to the cleaning method defined in the cleaning method 402If. Note that if a rule for "cleaning completed" or "cleaning interrupted" is applied when the robot vacuum cleaner 200 is in the "cleaning completed" state, the rule is not executed. When the "cleaning interruption" rule is applied while the robot vacuum cleaner 200 is in "cleaning interruption," a certain number of determinations are made under the same conditions, as described above, and the "cleaning end" operation is performed. The cleaning method 402If stores a value related to the cleaning method to be used by the robot vacuum cleaner 200 when cleaning. This is to ensure that appropriate cleaning is performed depending on the status of people present in the space to be cleaned, for example. For example, the "movement speed" of the cleaning method 402If specifies whether the speed of the robot vacuum cleaner is to be "fast" or "slow." The "rotation" of the cleaning method 402If specifies whether the path the robot vacuum cleaner will take is to "circulate" or "go back and forth." The "brush rotation" of the cleaning method 402If specifies the strength of the brush when the robot vacuum cleaner 200 cleans. The "suction" of the cleaning method 402If specifies the strength of the vacuum cleaner's vacuuming of dirt and dust. The "Detergent" content of cleaning method 402If specifies the strength of the cleaning power of the detergent used when robot vacuum cleaner 200 has the detergent spray function. By setting "Rotation" content of cleaning method 402If to "Full Circle," the cleaning path can be shortened. By weakening the "Brush Rotation" content of cleaning method 402If and weakening the "Suction" content of cleaning method 402If, the noise generated by cleaning can be suppressed.Moreover, by setting the "detergent" in the contents of cleaning method 402If to a weak level, unpleasant odors that occur during cleaning can be suppressed.

[0038] In the following, for simplicity, the cleaning method indicated by "RL103" in the cleaning schedule table 402I of FIG. 8 may be referred to as the "weak" cleaning mode, and the cleaning method indicated by "RL104" may be referred to as the "strong" cleaning mode.

[0039] In the rule ID 402Ia "RL101" in the cleaning schedule table 402I, when the target space number of people condition 402Ic is "8 or more people", the cleaning instruction 402Ie is "cleaning completed".

[0040] In the rule ID 402Ia "RL102," when the target space number of people condition 402Ic is "5 to 7 people or more," the cleaning instruction 402Ie is "cleaning suspended."

[0041] Rule ID 402Ia "RL103" and rule ID 402Ia "RL104" have the same conditions: final cleaning time condition 402Ib "8 hours" and target space number of people 402Ic "0 to 4 or more people." Rule ID 402Ia "RL103" has target space person state condition 402Id "people present at work, eating, or sleeping," and at this time, cleaning instruction 402Ie is "start cleaning" and cleaning method 402If is "weak" mode. Rule ID 402Ia "RL104" has target space person state condition 402Id "no people at work, eating, or sleeping," and at this time, cleaning instruction 402Ie is "start cleaning" and cleaning method 402If is "strong" mode.

[0042] The rules defined in the cleaning schedule table 402I of FIG. 8 are such that instructions such as "start cleaning," "pause cleaning," and "end cleaning" are given to the robot vacuum cleaner 200 as to whether to clean or not, depending on the number of people present in the space to be cleaned or the state of those people. Furthermore, the cleaning method of the robot vacuum cleaner 200 can be varied depending on the number of people present in the space to be cleaned or the state of those people. That is, when the number of people present in the space is equal to or exceeds a set number, or when the state of the people present in the space is such that cleaning would be disruptive (e.g., someone is working, eating, or sleeping), the cleaning method of the robot vacuum cleaner 200 is set to complete cleaning in one rotation without making round trips, set the suction power to the weakest, weaken the brush rotation, or use a detergent with weaker cleaning power. This can reduce the noise generated during cleaning. Furthermore, using a detergent with weaker cleaning power can suppress the odor caused by the detergent.

[0043] Conversely, if the number of people in the space to be cleaned is less than the specified number, or if the people in the space to be cleaned are not in a state that would cause a disruption to cleaning (no one is working, eating, or sleeping), the cleaning method of the robot vacuum cleaner 200 is set to clean the area where the objects to be cleaned are by going back and forth several times, set the suction power to the strongest, increase the rotation of the brush, and use a strong detergent. Furthermore, the suction power and the rotation of the brush are not limited to two levels of strength and weakness as described above, and the strength may be set so that it is inversely proportional to the number of people in the space to be cleaned.

[0044] In this embodiment, an example has been shown in which a cleaning plan is created based on the number of people present in the space to be cleaned and the status of those people in the cleaning plan table 402I. However, even if a rule for cleaning at a regular time other than this (for example, starting cleaning by the robot vacuum cleaner periodically at 10 AM and 10 PM) is defined, the cleaning plan can be executed without contradicting such a rule.

[0045] The cleaning instruction command 403 is a command issued from the work management device 100 to the robot cleaner 200 based on the created cleaning plan.

[0046] The cleaning instruction command 403 has storage areas for a cleaner ID 403a, a cleaning area 403b, a cleaning instruction 403c, and a cleaning method 403d.

[0047] The cleaner ID 403a stores an ID that uniquely identifies the robot vacuum cleaner 200. The cleaning area 403b stores an ID or coordinate information that uniquely identifies the area to be cleaned by the robot vacuum cleaner 200. The cleaning instruction 403c stores "start cleaning," "interrupt cleaning," or "end cleaning" as the cleaning operation to be instructed to the robot vacuum cleaner 200. The cleaning method 403d stores the cleaning method for the cleaning operation, i.e., the same content as the cleaning method 402If in the cleaning schedule table 402I of FIG. 8.

[0048] Next, a series of processes in the work management system will be described with reference to FIG. FIG. 10 is a sequence diagram showing a series of processes in the work management system.

[0049] First, image information periodically captured by the camera 30 of the space to be cleaned is transmitted to the work management device 100 (A101).

[0050] Furthermore, the robot cleaner 200 notifies the work management device 100 of cleaner information at regular intervals or when an event is detected by the robot cleaner 200 (A102). The cleaner information from the robot cleaner 200 includes operation information of the robot cleaner 200, location information of the robot cleaner 200, sensor information detected by the robot cleaner 200, and the like.

[0051] Next, the work management apparatus 100 performs image recognition processing on the image transmitted from the camera 30 (S101), and stores the results in the image recognition table 400 of FIG.

[0052] Next, the work management device 100 creates a cleaning plan for the robot vacuum cleaner 200 based on the image recognition table 400 resulting from the image recognition processing, the vacuum cleaner information from the robot vacuum cleaner 200, and the cleaning plan table 402I of FIG. 8 (S02), and based on that, sends the cleaning instruction command 403 of FIG. 9 to the robot vacuum cleaner 200 (A03).

[0053] The robot cleaner 200 performs cleaning in accordance with the cleaning instruction command 403 transmitted from the work management device 100 (S03). The robot cleaner 200 also transmits cleaning information to the work management device 100 while performing cleaning (A04). When the robot cleaner 200 finishes cleaning, it notifies the work management device 100 that cleaning has finished (A05).

[0054] In the above explanation, an example was shown in which the cleaning operation was changed depending on the number of people present in the entire space to be cleaned or the state of the people present. However, the space to be cleaned may be divided into multiple areas, and the cleaning operation may be controlled for each subspace. For example, the cleaning timing may be determined so that the area with fewer people is cleaned first. Alternatively, the cleaning order may be changed so that a subspace where people present in the subspace are interfering with the cleaning is scheduled to be cleaned after or after a subspace where people are not interfering with the cleaning.

[0055] In this way, cleaning can be carried out efficiently by starting cleaning in a space where there are few people in the area or where there are no people who would be in the way of cleaning.

[0056] 8 may be prioritized and applied to multiple spaces to be cleaned by one cleaning robot 200. For example, suppose that room 101 R101, room 102 R102, and room 103 R103 are assigned as cleaning areas for one cleaning robot 200. In this case, suppose that there are a certain number of people working in room 101 R101, and no one in rooms 102 R102 and 103 R103. In this case, the cleaning order is set to room 102 R102 and room 103 R103, and cleaning is performed in rooms 102 R102 and 103 R103. Then, even after cleaning has been completed in those rooms, if the person in room 101 R101 has not finished their work, the cleaning method may be made weaker and room 101 R101 may be cleaned, as indicated by the rule "RL103" in the cleaning schedule table 402.

[0057] It is also possible to assign cleaning orders to rooms 101 R101, 102 R102, and 103 R103 in order of the number of people present, or to assign cleaning orders to rooms in order of the number of people working there.

[0058] According to this example, when multiple cleaning areas are assigned to one cleaning robot 200, cleaning can be performed according to an appropriate schedule.

[0059] In the first embodiment, an example is shown in which the created plan is instructed to the robot cleaner, but the target of the instruction is not limited to the robot cleaner, and the instruction may be given to a human being.

[0060] In addition, in the first embodiment, an example is shown in which the camera 30 overlooking the space is used, but the present invention is not limited to this, and a camera mounted on the robot vacuum cleaner 200 or a camera mounted on another robot such as a security robot may also be used. The camera overlooking the space may also be used in combination with a surveillance camera for monitoring or watching over children.

[0061] As described above, in the first embodiment, the work management device creates a cleaning plan based on the number and status of people present in the space to be cleaned, and issues instructions to the robot cleaner based on the plan. This allows the robot cleaner to clean according to an appropriate schedule and cleaning method depending on the condition of the area to be cleaned.

[0062] [Embodiment 2] This embodiment is an example in which a cleaning plan is created based on at least one of the type of cleaning target, attribute information about objects present near the cleaning target, and attribute information and situation information about the space to be cleaned, and instructions about the plan are given to a cleaning execution entity. Here, the cleaning target (work target) refers to something that needs to be removed by cleaning from the space to be cleaned, such as dirt, dust, or unintentionally spilled liquid. In this embodiment, the object present near the cleaning target refers to a person. In this embodiment, if it is determined that the cleaning target is threatening to harm people in the area to be cleaned or the facility to be cleaned, the timing of cleaning can be changed to prevent the occurrence or spread of the damage.

[0063] The system configuration and processing of the second embodiment are the same as those of the first embodiment, but the target of the image recognition processing and the rules therefor are different. The differences from the first embodiment will be explained below.

[0064] The second embodiment will be described below with reference to FIGS. FIG. 11 is a diagram illustrating an example of an image recognition result table according to the second embodiment. FIG. 12 is a diagram illustrating an example of a cleaning schedule table according to the second embodiment.

[0065] As shown in Fig. 11, the image recognition result table 400 of the second embodiment has the same data structure as the image recognition result table of the first embodiment shown in Fig. 6, but the values ​​of the recognition item 400a are different. In this embodiment, consideration is given to whether there is an object that will not get in the way of cleaning as a target of image recognition.

[0066] When the value of the recognition item 400a is "object to be cleaned," it is recognized whether the object to be cleaned contains any dangerous items. Dangerous items in the object to be cleaned include, for example, items containing mercury such as batteries and thermometers, sharp objects such as glass and blades, and items that could lead to fire such as gas lighters and spray cans. It is also recognized whether the object to be cleaned will spread dirt further by cleaning it. For example, liquid spilled on the floor.

[0067] When the value of the recognition item 400a is "floor condition", the condition of the floor of the room to be cleaned, for example, whether it is a Japanese-style room (tatami), carpet, or wooden floor, is recognized.

[0068] When the value of the recognition item 400a is "target space person age", it is recognized whether there is an elderly person (for example, 65 years or older as a standard) or an infant (for example, under 1 year old as a standard) in the target space.

[0069] The cleaning schedule table 402II of the second embodiment is a table that defines rules for creating a cleaning schedule to be instructed to the robot cleaner 200, similar to the first embodiment, but the fields for defining the rules are different.

[0070] As shown in FIG. 12, the cleaning schedule table 402II has fields for conditions: a final cleaning time condition 402IIb, a cleaning target condition 402IIc, a target space person age condition 402IId, and a floor condition condition 402IIe.

[0071] The rule ID 402IIa, final cleaning time condition 402IIb, cleaning instruction 402IIf, and cleaning method 402IIg are the same as the rule ID 402Ia, final cleaning time condition 402Ib, cleaning instruction 402Ie, and cleaning method 402If shown in FIG. 8 of the first embodiment, respectively.

[0072] The cleaning object condition 402IIc is a condition as to whether or not there is a dangerous object to be cleaned, and whether or not the object to be cleaned is something that will spread dirt when cleaned, for example, whether or not it is a liquid.

[0073] The target space person age condition 402IId is a condition for the age of a person present in the space to be cleaned, and the conditions of "baby" and "elderly" are specified.

[0074] The floor condition 402IIe is the condition of the floor of the room to be cleaned, and the conditions of "tatami" and "carpet" are specified.

[0075] In the rule ID 402IIa "RL201" in the cleaning schedule table 402II, when the cleaning object condition 402IIc is "battery or thermometer", it is regarded as a dangerous object, and the robot cleaner 200 is immediately instructed to start cleaning in the "strong" cleaning mode.

[0076] In addition, in the case of rule ID 402IIa "RL202," when the cleaning object condition 402IIc is "gas lighter or spray can," it is considered to be a dangerous object that could cause a fire, and the robot vacuum cleaner 200 is immediately instructed to start cleaning in the "strong" cleaning mode.

[0077] In the case of rule ID 402IIa "RL203," when the target space person age condition 402IId is "infant," there is a concern that dirt and dust may have a negative effect on infants, and so the robot vacuum cleaner 200 is immediately instructed to start cleaning in the "strong" cleaning mode.

[0078] In the rule ID 402IIa "RL204," when the target space person age condition 402IId is "elderly," the robot vacuum cleaner 200 is instructed to start cleaning with the cleaning method "weak" after a certain period of time. The reason for setting the cleaning method to the "weak" mode is to prevent the robot vacuum cleaner 200 from tripping and falling.

[0079] In rule ID 402IIa "RL205," when floor condition condition 402IIe is "tatami or carpet," the robot vacuum cleaner 200 is instructed to start cleaning in "strong" cleaning mode after a certain period of time. This is because it is considered that when the floor of the room to be cleaned is tatami or carpet, dirt is more likely to spread due to dust than when it is flooring.

[0080] In the case of rule ID 402IIa "RL206," when the cleaning object condition 402IIc is "liquid," dirt is considered to spread more easily in the room than liquid, so the robot vacuum cleaner 200 is immediately instructed to start cleaning in the "strong" cleaning mode.

[0081] In addition, if multiple records in the cleaning schedule table 402II match the conditions and their cleaning instructions and cleaning methods are different, the rule is to give priority to the one in which the cleaning instruction 402IIf is "Start" and the cleaning method 402IIg is in "Strong" mode.

[0082] The final cleaning time condition 402IIb, the cleaning object condition 402IIc, and the target space person age condition 402IId are AND conditions, and the rule is applied when all of them are satisfied.

[0083] As described above, in embodiment 2, the object to be cleaned is judged to be dangerous or not, and if it is judged to be dangerous, an operation is performed to immediately start cleaning, which is expected to have the effect of preventing danger before it occurs.

[0084] Furthermore, when there is a risk of dirt spreading if left unattended due to the condition of the floor in the room or when liquid has been spilled, cleaning can be started quickly to prevent the dirt from spreading.

[0085] Note that the space to be cleaned may be divided into multiple areas, and the cleaning operation may be controlled for each subspace, as in the first embodiment. That is, for each subspace, it is possible to change and make appropriate instructions given to the robot cleaner 200 depending on whether the object to be cleaned is dangerous or whether there is a risk of dirt spreading if left unattended due to dust, liquid, or the like.

[0086] Furthermore, an appropriate cleaning method can be performed depending on whether the person in the space to be cleaned is an infant or an elderly person.

[0087] In addition, when the cleaning method for normal operation of the robot vacuum cleaner 200 is set to the "weak" mode, if the object to be cleaned is determined to be dangerous, the cleaning method may be performed in the "strong" mode.

[0088] [Embodiment 3] In the second embodiment, when the object to be cleaned poses a danger, an operation is performed to immediately start cleaning, but the timing at which the robot vacuum cleaner is instructed to clean can also be changed by changing the threshold for determining when to start cleaning.

[0089] Hereinafter, the third embodiment will be described with reference to FIG. FIG. 13 is a diagram illustrating an example of a cleaning schedule table according to the third embodiment.

[0090] The cleaning schedule table 402III of the third embodiment is almost the same as the cleaning schedule table 402II shown in Fig. 12, but has a cleaning start threshold condition 402IIIf added. The other fields are the same as those of the cleaning schedule table 402II shown in Fig. 12.

[0091] The cleaning start threshold condition 402IIIf stores a limit threshold for the robot cleaner 200 to start cleaning. This threshold is, for example, the number of dust particles of a certain size per unit area, and if more dust particles are detected than this, it is determined that the threshold condition is satisfied. In the example of FIG. 13, 2For example, in the rule ID 402IIIa "RL301" in the cleaning schedule table 402III, the final cleaning time condition 402IIIb is "6 hours" and the cleaning start threshold condition 402IIIf is "10".

[0092] For rule ID 402IIIa "RL301" in cleaning schedule table 402III, when final cleaning time condition 402IIIb is "6 hours" and target space person age condition 402IId is "infant," cleaning start threshold condition 402IIIf is set to "3," so cleaning will begin even when there is only a small amount of dirt. Similarly, for rule ID 402IIIa "RL303" in cleaning schedule table 402III, when target space person age condition 402IId is "elderly," cleaning start threshold condition 402IIIf is set to "7," so the condition for starting cleaning is weaker than when the target space person age condition 402IId is "elderly."

[0093] Furthermore, for rule ID 402IIIa "RL304" in cleaning schedule table 402III, when final cleaning time condition 402IIIb is "6 hours" and floor condition condition 402IIIe is "tatami or carpet," cleaning start threshold condition 402IIIf is "5." This means that the condition for starting cleaning is weaker than when the floor is the default (wooden floor), and when the floor is tatami or carpet, cleaning will start earlier even if the floor is not very dirty.

[0094] The amount of detected dust may be detected by a sensor provided in the robot vacuum cleaner 200, or may be detected by image recognition of an image acquired by the camera 30. The threshold value may be the number of dust particles of a certain size or larger per unit volume, and the amount of detected dust may be detected by a sensor provided in the robot vacuum cleaner 200.

[0095] In this way, in this embodiment, by changing the threshold value for starting cleaning when it is determined that the object to be cleaned poses a danger to humans or when dirt will spread if left unattended, cleaning instructions can be given to the robot vacuum cleaner at the appropriate time to start cleaning.

[0096] [Embodiment 4] This embodiment is an example in which a determination is made as to whether or not cleaning objects will be generated based on attribute information and situation information related to the space to be cleaned, and a cleaning plan is created based on the determination result. In this embodiment, if it is determined that cleaning objects will be generated, an instruction to start cleaning is given to the robot cleaner, thereby preventing an increase in cleaning objects.

[0097] The system configuration and processing of the fourth embodiment are the same as those of the first embodiment, but the target of the image recognition processing and the rules therefor are different. The differences from the first embodiment will be explained below.

[0098] The fourth embodiment will be described below with reference to FIGS. FIG. 14 is a diagram illustrating an example of an image recognition result table according to the fourth embodiment. FIG. 15 is a diagram illustrating an example of a cleaning schedule table according to the fourth embodiment.

[0099] As shown in Fig. 14, the image recognition result table 400 of the fourth embodiment has the same data structure as the image recognition result table of the first embodiment in Fig. 6, but the values ​​of the recognition item 400a are different. In this embodiment, whether or not a cleaning target object is generated is taken into consideration as a target of image recognition.

[0100] When the value of the recognition item 400a is "object movement in target space," the object of a certain size (for example, 1 m), such as a bookshelf or a chest of drawers, has been moved in the cleaning target space within a certain period of time in the past (for example, 2 hours). 3 The distance traveled by the object (or more) is recognized.

[0101] When the value of the recognition item 400a is "number of people entering and leaving the target space," the number of people who entered and left the space to be cleaned during a certain period of time in the past (for example, 2 hours) is recognized.

[0102] When the value of the recognition item 400a is "special item in the target space," the presence of an item that is likely to generate dust in the space to be cleaned is recognized. The special item here refers to cloth products such as clothes, and paper products such as books.

[0103] The cleaning schedule table 402IV of the fourth embodiment is a table that defines rules for creating a cleaning schedule to be instructed to the robot cleaner 200, similar to the first embodiment, but the fields for defining the rules are different.

[0104] As shown in FIG. 15, cleaning schedule table 402IV has fields for conditions such as final cleaning time condition 402IVb, target space object movement condition 402IVc, target space entry / exit number condition 402IVd, and target space special item condition 402IVe.

[0105] The rule ID 402IVa, final cleaning time condition 402IVb, cleaning instruction 402IVf, and cleaning method 402IVg are the same as the rule ID 402Ia, final cleaning time condition 402Ib, cleaning instruction 402Ie, and cleaning method 402If shown in FIG. 8 of the first embodiment, respectively.

[0106] In cleaning schedule table 402IV of this embodiment, when there is a possibility of dust being generated, work management apparatus 100 issues cleaning instructions and cleaning method instructions to robot cleaner 200 according to the degree of dust generation.

[0107] In rule ID 402IVa "RL401," when a bookshelf or a chest of drawers is moved in the cleaning target space under target space object movement condition 402IVc "50 cm or more but less than 1 m," an instruction is given to the robot vacuum cleaner 200 to start cleaning in "weak" mode.

[0108] Similarly, in rule ID 402IVa "RL401," when a bookshelf or chest of drawers is moved in the space to be cleaned with target space object movement condition 402IVc "1m or more," an instruction is given to the robot vacuum cleaner 200 to start cleaning in "strong" mode.

[0109] For rule ID 402IVa "RL403", when the final cleaning time condition 402IVb is "2 hours" or more and the number of people entering and exiting the target space condition 402IVd is "4 or 5 people", an instruction is given to the robot cleaner 200 to start cleaning in "weak" mode.

[0110] Similarly, for rule ID 402IVa "RL404", when the final cleaning time condition 402IVb is "2 hours" or more and the number of people entering and exiting the target space condition 402IVd is "6 people or more", an instruction is given to the robot vacuum cleaner 200 to start cleaning in "weak" mode.

[0111] For rule ID 402IVa "RL403", when the final cleaning time condition 402IVb is "4 hours" or more and the target space special item condition 402IVe is "10 or more pieces of clothing", an instruction is given to the robot cleaner 200 to start cleaning in "strong" mode.

[0112] In the rule ID 402IVa "RL404", when the final cleaning time condition 402IVb is "4 hours" or more and the target space special item condition 402IVe is "20 or more books", an instruction is given to the robot cleaner 200 to start cleaning in "weak" mode.

[0113] The target space specific item condition 402IVe may be calculated within one room, or may be a condition per unit area.

[0114] As described above, in embodiment 4, the occurrence of cleaning objects such as dirt and dust can be prevented by creating a cleaning plan and issuing instructions to the robot vacuum cleaner, taking into account events that may result in the occurrence of cleaning objects.

[0115] In the fourth embodiment, the start of cleaning is determined based on the number of people entering and leaving the room, but if the fluctuations in the position coordinates of multiple people last for a period longer than a set time, it may be decided not to clean. In other words, cleaning interferes with people's movement, so cleaning can be expected to proceed smoothly if it is performed after people have finished moving around.

[0116] (Configuration 1) a task-related information acquisition means for acquiring, as task-related information, at least one of attribute information relating to a task space and the vicinity of the task space, attribute information relating to objects present in the task space and the vicinity of the task space, and information relating to the status of the task space or the objects; a work plan creation unit that creates a work plan based on the information acquired by the work-related information acquisition means; a work instruction unit that instructs a work execution entity to perform work based on the created work plan; A work management device comprising:

[0117] (Configuration 2) the attribute information about the object includes the number of people present in the work space; the task-related information acquisition means acquires attribute information related to the object; the work plan creation unit determines a timing for performing a work based on the number of people present in the work target space and creates a work plan. 2. The work management device according to configuration 1,

[0118] (Configuration 3) the work-related information acquisition means acquires information about the work object; the work plan creation unit determines the timing of performing the work and creates a work plan based on the information acquired by the work-related information acquisition means. 3. The work management device according to claim 1, wherein

[0119] (Configuration 4) the attribute information about the object includes the age of a person present in the work space; The information regarding the status of the work target space includes a status of the floor of the work target space, the work plan creation unit determines the timing of performing the work and creates a work plan based on information on the ages of people present in the work space acquired by the work-related information acquisition means and the condition of the floor of the work space. 4. The work management device according to configuration 3,

[0120] (Configuration 5) the work plan creation unit determines whether or not a work object will be generated based on the information acquired by the work-related information acquisition means, determines the timing of performing the work, and creates a work plan; 5. The work management device according to any one of configurations 1 to 4,

[0121] (Method 1) A work management method for managing work performed by a work execution entity in a work target space by a work management device, comprising: The work management device a work-related information acquisition step of acquiring, as work-related information, at least one of attribute information regarding the work target space and the vicinity of the work target space, attribute information regarding objects present in the work target space and the vicinity of the work target space, and information regarding the status of the work target space or the objects; a work plan creation step in which the work management device creates a work plan based on the information acquired in the work-related information acquisition step; a work instruction step in which the work management device instructs a work execution entity to perform work based on the created work plan; A work management method comprising:

[0122] (Program 1) A work management program that manages work performed by a work execution subject in a work target space by an information processing device, a work-related information acquisition step in which the information processing device acquires, as work-related information, at least one of attribute information regarding the work target space and the vicinity of the work target space, attribute information regarding objects present in the work target space and the vicinity of the work target space, and information regarding the status of the work target space or the objects; a work plan creation step in which the information processing device creates a work plan based on the information acquired in the work-related information acquisition step; a work instruction step in which the information processing device instructs a work execution entity to perform work based on the created work plan; A work management program that executes the above.

[0123] (Configuration 8) A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of the image recognition that a certain number of people are present in the space to be cleaned, a work plan is created to suspend or terminate the cleaning work by the robot cleaner; When it is recognized as a result of the image recognition that a person in a predetermined state is present in the space to be cleaned, a work plan is created to suspend or terminate the cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning tasks.

[0124] (Configuration 9) The work management system described in configuration 8 is characterized in that, when it is recognized as a result of image recognition that a certain number of people are present in the space to be cleaned, or when it is recognized that a person in a predetermined state is present in the space to be cleaned, a work plan regarding a cleaning method for the robot vacuum cleaner is created and instructions for cleaning work are given to the robot vacuum cleaner.

[0125] (Configuration 10) A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When the presence of a predetermined object to be cleaned is recognized as a result of the image recognition, a work plan is created to start a cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan.

[0126] (Configuration 11) When it is recognized as a result of the image recognition that a predetermined object to be cleaned exists, a work plan is created regarding a cleaning method for the robot cleaner; 11. The work management system according to configuration 10, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

[0127] (Configuration 12) The work management device When it is recognized as a result of the image recognition that a person of a predetermined age is present in the space to be cleaned, a work plan is created to start a cleaning work by the robot cleaner; 12. The work management system according to either of configurations 10 and 11, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

[0128] (Configuration 13) A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of the image recognition that the condition of the floor of the space to be cleaned is such that dirt is likely to spread, or when it is recognized that the object to be cleaned is such that dirt is likely to spread, a work plan is created to start cleaning work by the robot vacuum cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan.

[0129] (Configuration 14) When it is recognized as a result of the image recognition that the condition of the floor of the space to be cleaned is such that dirt is likely to spread, or when it is recognized that the object to be cleaned is such that dirt is likely to spread, a work plan is created regarding a cleaning method by the robot vacuum cleaner; 14. The work management system according to claim 13, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

[0130] (Configuration 15) A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of image recognition that an object in the space to be cleaned has moved, when it is recognized that a predetermined number of people or more have entered or exited the space to be cleaned, or when it is recognized that an object that is likely to generate cleaning objects exists in the space to be cleaned, a work plan is created to start cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan. [Explanation of symbols]

[0131] 5...Network, 20...Access points, 30...Camera, 100... Work management device, 101... Network I / F unit, 102... Camera I / F unit, 103... Vacuum cleaner I / F unit, 110... Image recognition unit, 120... Cleaning plan creation unit, 130... Cleaning work instruction unit, 200... robot vacuum cleaner, 201... wireless I / F unit, 210... control unit, 220... sensor unit, 230... drive unit, 240... cleaning unit

Claims

1. a task-related information acquisition means for acquiring, as task-related information, at least one of attribute information relating to a task space and the vicinity of the task space, attribute information relating to objects present in the task space and the vicinity of the task space, and information relating to the status of the task space or the objects; a work plan creation unit that creates a work plan based on the information acquired by the work-related information acquisition means; a work instruction unit that instructs a work execution entity to perform work based on the created work plan; A work management device comprising:

2. the attribute information about the object includes the number of people present in the work space; the task-related information acquisition means acquires attribute information related to the object; the work plan creation unit determines a timing for performing a work based on the number of people present in the work target space and creates a work plan. The work management device according to claim 1 .

3. the work-related information acquisition means acquires information about the work object; the work plan creation unit determines the timing of performing the work and creates a work plan based on the information acquired by the work-related information acquisition means.

2. The work management device according to claim 1,

4. the attribute information about the object includes the age of a person present in the work space; The information regarding the status of the work target space includes a status of the floor of the work target space, the work plan creation unit determines the timing of performing the work and creates a work plan based on information on the ages of people present in the work space acquired by the work-related information acquisition means and the condition of the floor of the work space.

4. The work management device according to claim 3,

5. the work plan creation unit determines whether or not a work object will be generated based on the information acquired by the work-related information acquisition means, determines the timing of performing the work, and creates a work plan; 2. The work management device according to claim 1,

6. A work management method for managing work performed by a work execution entity in a work target space by a work management device, comprising: The work management device a work-related information acquisition step of acquiring, as work-related information, at least one of attribute information regarding the work target space and the vicinity of the work target space, attribute information regarding objects present in the work target space and the vicinity of the work target space, and information regarding the status of the work target space or the objects; a work plan creation step in which the work management device creates a work plan based on the information acquired in the work-related information acquisition step; a work instruction step in which the work management device instructs a work execution entity to perform work based on the created work plan; A work management method comprising:

7. A work management program that manages work performed by a work execution subject in a work target space by an information processing device, a work-related information acquisition step in which the information processing device acquires, as work-related information, at least one of attribute information regarding the work target space and the vicinity of the work target space, attribute information regarding objects present in the work target space and the vicinity of the work target space, and information regarding the status of the work target space or the objects; a work plan creation step in which the information processing device creates a work plan based on the information acquired in the work-related information acquisition step; a work instruction step in which the information processing device instructs a work execution entity to perform work based on the created work plan; A work management program that executes the above.

8. A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of the image recognition that a certain number of people are present in the space to be cleaned, a work plan is created to suspend or terminate the cleaning work by the robot cleaner; When it is recognized as a result of the image recognition that a person in a predetermined state is present in the space to be cleaned, a work plan is created to suspend or terminate the cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning tasks.

9. The work management system described in claim 8, characterized in that when it is recognized as a result of image recognition that a certain number of people are present in the space to be cleaned, or when it is recognized that a person in a predetermined state is present in the space to be cleaned, a work plan is created regarding a cleaning method for the robot vacuum cleaner and instructions for cleaning work are given to the robot vacuum cleaner.

10. A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When the presence of a predetermined object to be cleaned is recognized as a result of the image recognition, a work plan is created to start a cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan.

11. When it is recognized as a result of the image recognition that a predetermined object to be cleaned exists, a work plan is created regarding a cleaning method for the robot cleaner; The work management system according to claim 10, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

12. The work management device When it is recognized as a result of the image recognition that a person of a predetermined age is present in the space to be cleaned, a work plan is created to start a cleaning work by the robot cleaner; The work management system according to claim 10, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

13. A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of the image recognition that the condition of the floor of the space to be cleaned is such that dirt is likely to spread, or when it is recognized that the object to be cleaned is such that dirt is likely to spread, a work plan is created to start cleaning work by the robot vacuum cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan.

14. When it is recognized as a result of the image recognition that the condition of the floor of the space to be cleaned is such that dirt is likely to spread, or when it is recognized that the object to be cleaned is such that dirt is likely to spread, a work plan is created regarding a cleaning method by the robot vacuum cleaner; The work management system according to claim 13, wherein instructions for cleaning work are given to the robot cleaner based on the work plan.

15. A work management system in which a work management device gives cleaning instructions to a robot cleaner, a camera for capturing images of a space to be cleaned and objects related to the space to be cleaned; The work management device includes: The work management device The image acquired by the camera is subjected to image recognition, When it is recognized as a result of image recognition that an object in the space to be cleaned has moved, when it is recognized that a predetermined number of people or more have entered or exited the space to be cleaned, or when it is recognized that an object that is likely to generate cleaning objects exists in the space to be cleaned, a work plan is created to start cleaning work by the robot cleaner; A work management system that instructs the robot cleaner to perform cleaning work based on the work plan.

Images