On-site work assistance device, on-site work assistance system, and on-site work assistance method

Abstract

A work situation detection system 21 detects a work situation at a work site using devices such as a worker position sensor 42, a work confirmation camera 43, and an illuminance sensor 44. An on-site work assistance device 10 collects the work situation detected by the work situation detection system 21, analyzes the work situation, and, on the basis of the analysis result, instructs adjustment of parameters of devices such as a work robot 51 and a projector 52 of a work instruction output system 22 for outputting a work instruction at the work site.

Description

On-site work support device, on-site work support system, and on-site work support method

[0001] The present invention relates to, for example, a field work support device, a field work support system, and a field work support method.

[0002] Today, on-site work support systems are being proposed that are tailored to the on-site system configuration, the state of the work environment, and the characteristics and conditions of the workers.

[0003] In particular, there is a proposal for a system that analyzes the work ability of a worker in order to increase the worker's production capacity (Patent Document 1), and there is also a proposal for a system that instructs a worker on work taking into account the worker's condition (Patent Document 2).

[0004] JP 2021-51620 A JP 2023-53625 A

[0005] As described above, the systems disclosed in Patent Documents 1 and 2 can change the content of work instructions depending on the characteristics of the worker, but do not control the apparatus or device for displaying the work instructions.

[0006] For example, when introducing an on-site work system that utilizes video display or projection mapping, the environment and configuration of the site where the system is being introduced will vary, including restrictions on where the device can be installed and the amount of light on site. This poses the problem of the time and effort required to adjust and customize the on-site work system to suit such an environment.

[0007] In addition, since workers have different levels of expertise and characteristics, it is preferable to apply a work instruction method that is appropriate for each worker rather than applying the same work instruction method to all workers, but there is also the problem that it takes a lot of man-hours to adjust and customize the on-site work system according to worker changes.

[0008] The present invention has been made in view of the above background, and aims to provide an on-site work support device, an on-site work support system, and an on-site work support method that can reduce the amount of work required to adjust and customize an on-site work system in response to on-site constraints, and that can reduce the amount of work required to apply the system to multiple types of sites.

[0009] In order to solve the above-mentioned problems and achieve the above-mentioned object, one embodiment of the present invention is a field work support device that supports work at a work site, and is characterized by being connected via a network to a collection device group including one or more collection devices that detect work conditions at the work site and an output device group including one or more output devices that output work instructions at the work site, and comprising: a collection unit that collects data regarding the work conditions detected by the collection device group; an analysis unit that analyzes the work conditions based on the data collected by the collection unit; and an adjustment unit that adjusts the work instructions of the output device group based on the analysis results of the analysis unit.

[0010] Another embodiment of the present invention is a field work support system that supports work at a work site, characterized by comprising: a collection device group including one or more collection devices that detect work conditions at the work site; an output device group including one or more output devices that output work instructions at the work site; and an apparatus that collects data regarding the work conditions detected by the collection device group, analyzes the work conditions based on the collected data, and adjusts the work instructions of the output device group based on the analysis results.

[0011] Furthermore, another embodiment of the present invention is a method for supporting on-site work by an apparatus for supporting work at a work site, the method being connected to a collection device group including one or more collection devices that detect work conditions at the work site and an output device group including one or more output devices that output work instructions at the work site, collecting data regarding the work conditions detected by the collection device group, analyzing the work conditions based on the collected data, and adjusting the work instructions of the output device group based on the analysis results.

[0012] According to the present invention, it is possible to reduce the man-hours required to adjust and customize a field work system in response to constraints at the field, and also to reduce the man-hours required for application to multiple types of field.

[0013] FIG. 1 is a configuration diagram showing a field work support system according to one embodiment of the present invention. FIG. 1 is a configuration diagram showing the hardware configuration of a field work instruction device according to one embodiment of the present invention. FIG. 2 is an explanatory diagram showing an example of a work weight table according to one embodiment of the present invention. FIG. 3 is an explanatory diagram showing an example of a worker adjustment table according to one embodiment of the present invention. FIG. 4 is an explanatory diagram showing an example of a worker table according to one embodiment of the present invention. FIG. 5 is an explanatory diagram showing an example of a work list table according to one embodiment of the present invention. FIG. 6 is an explanatory diagram showing an example of a situation management table according to one embodiment of the present invention. FIG. 7 is an explanatory diagram showing an example of a situation determination table according to one embodiment of the present invention. FIG. 8 is an explanatory diagram showing an example of an adjustment method table according to one embodiment of the present invention. FIG. 9 is a flowchart explaining an example of an operation according to one embodiment of the present invention. FIG. 10 is a flowchart explaining an example of updating the situation management table according to one embodiment of the present invention. FIG. 11 is a flowchart explaining an example of parameter adjustment according to one embodiment of the present invention. FIG. 12 is an explanatory diagram showing an example of a registration screen according to one embodiment of the present invention. FIG. 13 is an explanatory diagram showing another example of a registration screen according to one embodiment of the present invention.

[0014] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the following description and drawings are merely examples for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. The present invention can also be implemented in various other forms. Furthermore, unless otherwise specified, each component may be singular or plural.

[0015] In the following description, identical or similar components may be assigned the same reference numerals, and redundant description may be omitted. Furthermore, in the following description, various types of information may be described using expressions such as "information" and "table," but the various types of information may be expressed using data structures other than these. Furthermore, expressions such as "identification information," "identifier," "name," "ID," and "number" may be used to describe identification information, but these are interchangeable. Furthermore, in the following description, "database" will be referred to as "DB," and "table" as "TBL."

[0016] At work sites, the level of skill of workers and the installation environment of devices required to perform work vary, so the following describes an embodiment of a field work support system that enables device adjustments appropriate for such situations.

[0017] The overall configuration of this embodiment will be described below with reference to Figures 1 and 2. Figure 1 is a configuration diagram showing the on-site work support system according to this embodiment, and Figure 2 is a configuration diagram showing the hardware configuration of the on-site work instruction device according to this embodiment.

[0018] As shown in FIG. 1, the on-site work support system of this embodiment is configured by an on-site work support device 10 and a manufacturing plant 20 connected via a network 30 such as a wireless communication network or a wired communication network.

[0019] In the manufacturing factory 20, a work status detection system 21 detects the work status of a worker (e.g., worker 20A) working at the work site and outputs the detected work status to the on-site work support device 10 via the network 30. A work instruction output system 22 receives parameter adjustment instructions for each device from the on-site work support device 10 and adjusts the parameters.

[0020] Manufacturing factory 20 is composed of a work status detection system 21 and a work instruction output system 22, both of which are connected to network 30. Work status detection system 21 is composed of a worker ID tag 41 stored in memory (not shown), a worker position sensor 42, a work confirmation camera 43, an illuminance sensor 44, an acoustic sensor 45, a work log 46 that measures work time, etc. Work instruction output system 22 is composed of a work robot 51, a projector 52, a display 53, a speaker 54, etc.

[0021] The work status detection system 21 outputs to the status data collection unit 101 of the on-site work support device 10 the worker ID tag 41 (worker attribute) of the worker performing on-site work, the worker's work position detected by the worker position sensor 42, and the worker's work status detected by the work confirmation camera 43. The work confirmation camera 43 is zoomed by the on-site work support device 10.

[0022] The work situation detection system 21 further outputs the illuminance of the work site detected by the illuminance sensor 44, the amount of ambient noise detected by the acoustic sensor 45, and the work time log of each worker detected by the work log 46 to the situation data collection unit 101 of the on-site work support device 10.

[0023] The work instruction output system 22 adjusts the speed of the work robot 51, the brightness of the projector 52, the brightness of the display 53, and the volume of the speaker 54 in accordance with instructions from the device parameter adjustment instruction unit (hereinafter referred to as the DP adjustment instruction unit) 104 of the on-site work support device 10.

[0024] Furthermore, the worker position sensor 42, work confirmation camera 43, work log 46, acoustic sensor 45, and illuminance sensor 44 that make up the work status detection system 21 are a group of status collection devices, and the work robot 51, projector 52, display 53, and speaker 54 that make up the work instruction output system 22 are a group of work instruction devices.

[0025] As shown in FIG. 1, the on-site work support device 10 is composed of, for example, a situation data collection unit 101, a situation analysis unit 102, an adjustment instruction determination unit 103 and a DP adjustment instruction unit 104 that constitute the adjustment unit, a worker TBL 111, a work list TBL 112, a situation management TBL 113, a work weight TBL 115, a worker adjustment TBL 116, a situation judgment TBL 121, an adjustment method TBL 122, a situation judgment logic registration graphical user interface (hereinafter referred to as situation judgment logic registration GUI) 131, and an adjustment method registration graphical user interface (hereinafter referred to as adjustment method registration GUI) 132.

[0026] The situation data collection unit 101 collects various data such as worker attributes, work location, work situation, work site illuminance, ambient noise level, and work time log from the work situation detection system 21 via the network 30 and outputs the data to the situation analysis unit 102.

[0027] The situation analysis unit 102 is connected to the worker TBL 111, task list TBL 112, situation management TBL 113, task weight TBL 115, and worker adjustment TBL 116, and refers to these TBLs to analyze the work situation in order to adjust each device, such as the work confirmation camera 43, work robot 51, projector 52, display 53, and speaker 54.

[0028] The adjustment instruction determination unit 103 is connected to the situation judgment TBL 121 and the adjustment method TBL 122, and refers to these TBLs to determine instruction contents for adjusting the parameters of each of the above-mentioned devices, and outputs the instruction contents to the DP adjustment instruction unit 104. The DP adjustment instruction unit 104 receives instruction contents for adjusting the parameters of each device from the adjustment instruction determination unit 103, and outputs the instruction contents to each device.

[0029] A system administrator (for example, system administrator 10A) registers a situation determination logic in the situation determination TBL 121 through the situation determination logic registration GUI 131, and registers an adjustment method in the adjustment method TBL 122 through the adjustment method registration GUI 132.

[0030] The worker TBL 111, task list TBL 112, status management TBL 113, task weight TBL 115, worker adjustment TBL 116, status determination TBL 121, and adjustment method TBL 122 will be described later with reference to other figures.

[0031] As shown in FIG. 2 , the on-site work support device 10 has a hardware configuration including a CPU 11 that controls the entire device, a memory 13 that stores programs 12 such as the processes according to this embodiment (including the processes of FIGS. 10 to 12 ) to be executed by the CPU 11 and that stores various data during execution, an operation device 14 that includes a keyboard and a display device, an external storage device 15 that is a memory that registers and stores and manages tables and data such as a worker TBL 111, a work list TBL 112, a status management TBL 113, a work weight TBL 115, a worker adjustment TBL 116, a status judgment TBL 121, and an adjustment method TBL 122, a communication IF 16 that is connected to the network 30 and that controls communication with external devices (such as the work status detection system 21 and the work instruction output system 22), and a bus 17 that is connected to each unit within the device and that controls communication of data, signals, etc. within the device.

[0032] Next, the above-mentioned TBLs will be described with reference to Fig. 3 to Fig. 9. Fig. 3 is an explanatory diagram showing an example of a task weight TBL according to this embodiment, Fig. 4 is an explanatory diagram showing an example of a worker adjustment TBL according to this embodiment, Fig. 5 is an explanatory diagram showing an example of a worker TBL according to this embodiment, Fig. 6 is an explanatory diagram showing an example of a task list TBL according to this embodiment, Fig. 7 is an explanatory diagram showing an example of a situation management TBL according to this embodiment, Fig. 8 is an explanatory diagram showing an example of a situation determination TBL according to this embodiment, and Fig. 9 is an explanatory diagram showing an example of an adjustment method TBL according to this embodiment.

[0033] The task weight TBL 115 is configured to store a skill level and a weight parameter in association with a task ID that identifies a task, as shown in FIG. 3, for example. Skill level is divided into three stages: beginner, intermediate, and expert. The weight parameter has a value between 0.0 and 1.0, and the higher the skill level, the larger the value. In this embodiment, the weight parameter is assigned 0.7 for a beginner, 0.9 for an intermediate, and 1.0 for an expert.

[0034] For example, for task ID "W0001", if a beginner is assigned the weight parameter is 0.7, if an intermediate worker is assigned the weight parameter is 0.9, and if an expert is assigned the weight parameter is 1.0.

[0035] The worker adjustment TBL 116 is configured to store target devices, adjustment items, and weighting parameters in association with worker IDs that identify workers, as shown in Fig. 4. Fig. 4 shows an example of a projector as the target device, and in this case, brightness is the adjustment item. For worker ID "P0001," the weighting parameter is 0.7, for worker ID "P0002," the weighting parameter is 0.9, and for worker ID "P0003," the weighting parameter is 1.0.

[0036] While Figure 4 shows brightness as an example of a projector adjustment item, other adjustments can be specified to improve work efficiency by adjusting them according to the worker. Examples of adjustment items other than brightness include color temperature, contrast, and position adjustment. Color temperature is an item for adjusting the color tone to suit the worker, as some workers find it easier to see instructions in text or images with a reddish tint, while others find instructions in text or images with a bluish tint. By providing this item, the color temperature can be adjusted to a color temperature that is more easily seen by the worker, thereby reducing the burden on the worker of checking instructions and improving work efficiency. Contrast, like color temperature, is an item related to the appearance of the image and is used to set an appropriate light-dark ratio for the worker. Position adjustment is an item for adjusting the vertical and horizontal positions of the image projection according to the worker's line of sight and work position.

[0037] The worker TBL 111 is configured to store the skill level and basic language used for each worker in association with the worker ID, as shown in Fig. 5. As mentioned above, the skill level is divided into three categories: beginner, intermediate, and expert. The basic languages ​​used are, for example, Japanese, English, and Chinese.

[0038] In the example of Figure 5, the worker with worker ID "P0001" is a beginner and speaks Japanese, the worker with worker ID "P0002" is a beginner and speaks English, the worker with worker ID "P0003" is an intermediate worker and speaks Chinese, and the worker with worker ID "P0004" is an expert and speaks Japanese.

[0039] As shown in FIG. 6 , for example, the work list TBL 112 is configured to store, in association with a work ID, the area where the work is to be performed, the IDs of the group of situation collection devices (work confirmation camera 43, work log 46, acoustic sensor 45, and illuminance sensor 44) arranged in the work status detection system 21, and the IDs of the group of work instruction devices (work robot 51, projector 52, display 53, and speaker 54) arranged in the work instruction output system 22.

[0040] 6, the area where the task with task ID "W0001" is performed is A. The IDs of the status collection devices are D1001 for the task confirmation camera 43, D1005 for the task log 46, D1009 for the acoustic sensor 45, and D1013 for the illuminance sensor 44. The IDs of the task instruction devices are D2001 for the projector and D2004 for the speaker.

[0041] Furthermore, the area in which the task with task ID "W0002" is performed is B and C. The IDs of the status collection devices are D1002 for the task confirmation camera 43, D1006 for the task log 46, D1010 for the acoustic sensor 45, and D1014 for the illuminance sensor 44. The IDs of the task instruction devices are D2003 for the work robot and D2005 for the display.

[0042] Furthermore, the areas where the task with task ID "W0003" will be performed are D and E. The IDs of the status collection devices are D1003 for the task confirmation camera 43, D10075 for the task log 46, D1011 for the acoustic sensor 45, and D1015 for the illuminance sensor 44. The IDs of the task instruction devices are D2006 for the task robot and D2002 for the projector.

[0043] The area where the task with task ID "W0004" is performed is F. The IDs of the status collection devices are D1004 for the task confirmation camera 43, D1008 for the task log 46, D1012 for the acoustic sensor 45, and D1016 for the illuminance sensor 44. The IDs of the task instruction devices are D2008 for the projector, D2009 for the display, and D2010 for the speaker.

[0044] As shown in FIG. 7, the status management TBL 113 is configured to store, in association with a task ID, a task status indicating whether the task is in progress or not, a task area, a task ID indicating the task for which the worker is responsible, a task pace indicating the progress of the task, the amount of ambient noise (expressed in decibels: dB) collected by the acoustic sensor 45, and illuminance (expressed in lux: lx).

[0045] In the example of Fig. 7, the worker with worker ID "P0001" is in charge of the task with assigned task ID "W0002" and is currently working (task status) in task area B. This shows the state in which this worker is currently working at a standard work pace in a work site with an ambient noise level of 50 dB and an illuminance of 400 lx.

[0046] Additionally, the worker with worker ID "P0002" is currently working in work area B (work status) in charge of the work with assigned work ID "W0002." This worker is currently working at a standard work pace in a work site with an ambient noise level of 70 dB and an illumination level of 300 lx. Note that the worker with worker ID "P0003" is currently not working (see work status).

[0047] The worker with worker ID "P0004" is in charge of the task with assigned task ID "W0003" and is currently working (task status) in task area D. This shows that this worker is currently working at a delayed pace in a work site with ambient noise of 50 dB and illuminance of 500 lx.

[0048] 8, the status determination TBL 121 stores a task ID, a determination item for determining a device, a condition for determining a task based on the determination item, and an adjustment method for when adjustment is required, in association with a status determination logic ID that serves as identification information for the logic for determining the task status. In FIG. 8, x represents a condition required for determining the above condition.

[0049] The situation determination logic "L0001" is associated with the task ID "W0001." An adjustment item is registered to set the luminance of the projector of the device to be adjusted to +5 lx when the determination item "illuminance" falls below 400 lx (condition).

[0050] The task ID "W0001" is also associated with the situation determination logic "L0002." The adjustment item registered is to set the volume of the speaker of the device to be adjusted to +10 dB when the determination item "ambient noise level" exceeds 65 dB (condition).

[0051] The task ID "W0002" is associated with the situation determination logic "L0003." When the determination item "Work pace" is work delay and the skill level is beginner (condition), an adjustment item is registered to reduce the work speed of the work robot of the adjustment target device by 20%.

[0052] Furthermore, the situation determination logic "L0004" is associated with the task ID "W0003." When the determination item "task area" is B or G (condition), an adjustment item is registered to set the zoom level of the task confirmation camera of the device to be adjusted to +5.

[0053] The task ID "W0003" is also associated with the situation determination logic "L0005." When the "basic language" of the determination item is English (condition), an adjustment item is registered to set the instruction voice for the speaker of the device to be adjusted to English.

[0054] As shown in FIG. 9, for example, the adjustment method TBL 122 is configured to store, in correspondence with an adjustment method ID that identifies the adjustment method, a target device ID that identifies the device to be adjusted, a device type that indicates the type of device to be adjusted, a vendor of the device to be adjusted, a model number of the device to be adjusted, adjustment items for the device to be adjusted, a control method for the device to be adjusted (API command, script command, etc.), and the like.

[0055] In the example of Fig. 9, five adjustment method IDs "M0001" to "M0005" are associated with target device IDs "D0001" to "D0005", respectively. Target device IDs "D0001" and "D0002" are both associated with a projector as the device type, and the adjustment item is to set the brightness parameter to +5lx.

[0056] The vendors are different, A and B, and the model numbers are "AX0001" and "BY0002", respectively. Furthermore, the control methods are also set differently, specifying the model numbers, such as "https: / / ax0001.control.com / api / commandA" and ". / by0002_control.py".

[0057] Next, the target device ID "D0003" is associated with a "work robot" as the device type, and the adjustment item is to reduce the work speed parameter by 20%. The vendor is C, and the model number is "CR0003." Furthermore, the control method is set to "https: / / cr0003.application.com / api / speed" with the model number specified.

[0058] Furthermore, the target device ID "D0004" is associated with "speaker" as the device type, and the adjustment item is to set the volume parameter to +10 dB. The vendor is D, and the model number is "DS0004." Furthermore, the control method is set to ". / ds0004_volume_control.exe-v10" with the model number specified.

[0059] The target device ID "D0005" is associated with a "work confirmation camera" as the device type, and the adjustment item is to set the parameter zoom level to +5. The vendor is E, and the model number is "EC0005." Furthermore, the control method is set to "https: / / ec0005.configuration.com / api / zoom?value=5" with the model number specified.

[0060] Next, the operation will be described with reference to Fig. 10 to Fig. 14. Fig. 10 is a flowchart illustrating an example of the operation according to this embodiment, Fig. 11 is a flowchart illustrating an example of updating the status management TBL according to this embodiment, Fig. 12 is a flowchart illustrating an example of parameter adjustment according to this embodiment, Fig. 13 is an explanatory diagram showing an example of a registration screen according to this embodiment, and Fig. 14 is an explanatory diagram showing another example of the registration screen according to this embodiment.

[0061] 10 , the situation data collection unit 101 first acquires data from the situation collection devices (worker ID tag 41, worker position sensor 42, work confirmation camera 43, illuminance sensor 44, acoustic sensor 45, and work log 46) (step S001). Next, the situation analysis unit 102 acquires the worker ID from the worker ID tag 41 and acquires the location of the work area from the work position data of the worker position sensor 42 (step S002).

[0062] The status analysis unit 102 refers to the task list TBL 112 using the task area information acquired in step S002 as a search key, and acquires the corresponding task ID and device ID list of the status collection device group (step S003).

[0063] The status analysis unit 102 extracts the device ID data of the status collection device group acquired in step S003 from each data of the status collection device group acquired in step S001, and updates the status management TBL 113 using the worker ID acquired in step S002 as the primary key (step S004).

[0064] The adjustment instruction determination unit 103 compares the information in the worker TBL 111, the information in the situation management TBL 113, and the situation determination TBL 121 to extract a necessary adjustment method (step S005).

[0065] The adjustment instruction determination unit 103 refers to the work list TBL 112 using the device ID of the target device of the adjustment method extracted in step S005 as a search key and the information of the work area acquired in step S002, and acquires the device ID of the corresponding work instruction device (step S006).

[0066] The adjustment instruction determination unit 103 checks the adjustment method TBL 122 to determine how to execute the extracted adjustment method (step S007), and the DP adjustment instruction unit 104 adjusts the parameters of the work instruction device group (work robot 51, projector 52, display 53, speaker 54) based on the check in step S007 (step S008). Then, after waiting for a certain period of time (step S009), the process returns to step S001 and the same process is repeated.

[0067] 11, the update process of the situation management TBL 113 in step S004 by the situation analysis unit 102 will be described. First, a work situation that is determined to be a work error is confirmed in advance based on the work situation data input from the work confirmation camera 43.

[0068] If a work error is detected (YES route in step S401), "work delay" is set and registered in the work pace in the status management TBL 113 (step S406), as shown in FIG.

[0069] Then, the data from the acoustic sensor 45 is normalized to the amount of ambient noise in the situation management TBL 113 and set and registered (step S408), and further, the data from the illuminance sensor 44 is normalized to the illuminance in the situation management TBL 113 and set and registered (step S409).

[0070] If no work error is detected in step S401 (NO route), the work time is acquired (step S402) based on the data in the work time log, which is the work log 46. Next, the skill level associated with the worker whose worker ID was acquired in step S002 is acquired as information, and further, a weight parameter corresponding to that skill level is acquired from the work weight parameter 115 (step S403).

[0071] Next, the work time acquired in step S402 is multiplied by the weight parameter acquired in step S404, and the result is obtained as a judgment adjustment time W (step S404). If the judgment adjustment time W is equal to or greater than a predetermined threshold (YES route in step S405), it is determined that the work is slightly delayed, and the process proceeds to the above-mentioned step S406, where the same process is executed thereafter.

[0072] If the above-mentioned judgment adjustment time W does not reach the predetermined threshold value (NO route in step S405), it is determined that there is no work delay, and the work pace in the status management TBL 113 is set to "standard" (step S407). After that, the process proceeds to step S408, and the same process is executed thereafter.

[0073] 12, the parameter adjustment in step S008 by the DP adjustment instruction unit 104 will be described. First, the parameters to be set for the adjustment items of the adjustment method extracted in step S007 are acquired (step S801). Next, the corresponding weight parameters are acquired from the worker adjustment TBL 116 using the worker ID acquired in step S002 as a search key (step S802).

[0074] Then, the parameters acquired in step S801 and the parameters of the adjustment items acquired in step S802 are multiplied together to acquire the resulting adjustment parameters V (step S803). In this way, the parameters of the adjustment method extracted in step S807 are replaced with the adjustment parameters V acquired in step S803, and the command / script of the corresponding control method is executed (step S804).

[0075] The GUI will now be described with reference to Fig. 13 and Fig. 14. As shown in Fig. 1, the system administrator 10A performs setting and registration of the situation determination TBL 121 by operating the situation determination logic registration GUI 131. The system administrator 10A also performs setting and registration of the adjustment method TBL 122 by operating the adjustment method registration GUI 132.

[0076] 13, the situation determination logic registration GUI 131 has five input areas 1311 to 1315 and a registration button 1316. The system administrator 10A operates the operation device 14 to input settings.

[0077] Input areas 1311, 1313, and 1315 are areas for manually inputting a task ID (e.g., "W0001"), a condition (e.g., "x<400"), and an adjustment item (e.g., setting brightness to +5 dB). Input here can be done either by text entry or by using a pull-down menu. Input areas 1312 and 1314 are areas for selecting a judgment item (e.g., task pace, task area, illuminance, ambient noise level, etc.) and a target device (e.g., task robot, projector, display, speaker, etc.) from pull-down options.

[0078] When the system administrator 10A completes the input operations in the input areas 1311 to 1315 and operates the register button 1316, the setting and registration of the situation determination logic registration GUI 131 is completed.

[0079] 14, the adjustment method registration GUI 132 has five input areas 1321 to 1325 and a registration button 1326. The system administrator 10A operates the operation device 14 to input settings.

[0080] Input areas 1321, 1323, 1324, and 1325 are areas for inputting the target device ID (e.g., "D0001"), vendor (e.g., "Vendor A"), adjustment item (e.g., "Set brightness to +5 dB"), and control method (e.g., "https: / / ax0001.control.com / api / commandA"). Input here can be done either by character input or by using a pull-down menu.

[0081] Input area 1322 is an area for selecting a device type (work robot, projector, display, speaker, etc.) from pull-down options. When system administrator 10A completes the input operations in input areas 1321 to 1325 and operates registration button 1326, the setting registration of adjustment method registration GUI 132 is completed.

[0082] As described above, according to this embodiment, it is possible to reduce the amount of work required to adjust and customize the on-site work system in response to on-site constraints, and it is also possible to reduce the amount of work required to apply the system to multiple types of sites.

[0083] Furthermore, the above-described configurations, functional units, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

[0084] Furthermore, the layout of the various functional units, processing units, and databases of the communication bandwidth allocating device described above is merely an example, and the layout of the various functional units, processing units, and databases can be changed to an optimal layout in terms of the performance, processing efficiency, communication efficiency, etc. of the hardware and software provided in these devices.

[0085] Furthermore, the configuration (schema, etc.) of the database that stores the various types of data described above can be flexibly changed from the perspective of efficient use of resources, improved processing efficiency, improved access efficiency, improved search efficiency, and the like.

[0086] Furthermore, in the above-described embodiment and modified examples, a manufacturing site has been described as one example, but the present invention is not limited to this, and for example, advertisements and products proposed to customers on a display screen may be changed according to the movements and characteristics of customers in a commercial facility. In this case, the above-described processes are handled in terms of products and publicity / advertising.

[0087] In addition, in the case of a commercial facility where display devices are installed in sales areas and corridors, the communication bandwidth can be set according to priority using the degree of customer congestion and sales in each sales area as indicators.

[0088] Furthermore, in the case of a commercial facility, it would be appropriate to divide the work levels into children and adults and change the display and communication bandwidth accordingly. In this case, cameras and microphones would be placed in the toy section for children and in the men's clothing section for adults.

[0089] DESCRIPTION OF SYMBOLS 10 Field work support device 11 CPU 12 Program 1 13 Memory 14 Operation device 15 External storage device 16 Communication IF 17 Bus 20 Manufacturing plant 21 Work situation detection system 22 Work instruction output system 30 Network 41 Worker ID tag 42 Worker position sensor 43 Work confirmation camera 44 Illuminance sensor 45 Acoustic sensor 45 46 Work log 51 Work robot 52 Projector 53 Display 54 Speaker 101 Situation data collection unit 102 Situation analysis unit 103 Adjustment instruction determination unit 104 DP adjustment instruction unit 111 Worker TBL 112 Work list TBL 113 Situation management TBL 115 Work weight TBL 116 Worker adjustment TBL 121 Situation determination TBL 122 Adjustment method TBL 131 Situation determination logic registration GUI 132 Adjustment method registration GUI

Claims

1. A field work support device that supports work at a work site, connected via a network to a collection device group including one or more collection devices that detect work conditions at the work site and to an output device group including one or more output devices that output work instructions at the work site, and comprising: a collection unit that collects data related to the work conditions detected by the collection device group; an analysis unit that analyzes the work conditions based on the data collected by the collection unit; and an adjustment unit that adjusts the work instructions for the output device group based on the analysis results of the analysis unit.

2. The on-site work support device according to claim 1, further comprising a memory unit for storing information about workers, wherein the analysis unit analyzes the work situation based on the information about the workers stored in the memory unit.

3. A field work support device according to claim 2, wherein the information relating to the worker is data indicating a skill level, and the data indicating the skill level is multiplied by a weighting coefficient prepared in advance to analyze the work situation.

4. The on-site work support device according to claim 1, further comprising a memory unit that stores the collection devices of the collection device group in association with each task, and wherein the analysis unit analyzes the work situation based on the data collected from the collection devices stored in the memory unit.

5. The on-site work support device according to claim 1, further comprising a memory unit that stores the output devices of the output device group in association with pre-prepared tasks, and the adjustment unit adjusts work instructions for the output devices corresponding to the tasks among the output devices stored in the memory unit.

6. In the on-site work support device described in claim 5, the memory unit stores conditions for determining whether or not adjustments can be made to the output device corresponding to each task, and adjustment items to be implemented when the conditions are met, and the adjustment unit adjusts work instructions based on the stored adjustment items.

7. A field work support system according to claim 6, wherein the adjustment items indicate the amounts of adjustment of the parameters of the output device to be adjusted.

8. The on-site work support device according to claim 1, wherein the collection device of the collection device group is one or more of devices for photographing the work site, measuring work time, detecting sound, and detecting illuminance.

9. The on-site work support device according to claim 1, wherein the output devices of the output device group are one or more of a work robot, a projector, a display, and a speaker.

10. The on-site work support device according to claim 1, further comprising a graphical user interface for registering logic for the analysis unit to determine the work situation.

11. The on-site work support device according to claim 1, further comprising a graphical user interface for registering an adjustment method for adjusting work instructions by said adjustment unit.

12. A field work support system that supports work at a work site, comprising: a collection device group including one or more collection devices that detect work conditions at the work site; an output device group including one or more output devices that output work instructions at the work site; and a device that collects data related to the work conditions detected by the collection device group, analyzes the work conditions based on the collected data, and adjusts the work instructions of the output device group based on the analysis results.

13. A field work support system according to claim 12, wherein said apparatus is communicably connected to said collection device group and said output device group via a network.

14. A method for supporting on-site work by an apparatus for supporting work at a work site, the method being connected to a collection device group including one or more collection devices that detect work conditions at the work site and an output device group including one or more output devices that output work instructions at the work site, collecting data related to the work conditions detected by the collection device group, analyzing the work conditions based on the collected data, and adjusting the work instructions for the output device group based on the analysis results.

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