JP2008201569A - Working management system, working management method, and management calculation machine - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system capable of accomplishing working management and further quality management by solving a problem that action-position of a worker and motion-position of a commodity or the like cannot be simultaneously and accurately recognized and recognition-evaluation of the proper working content cannot be performed conventionally. <P>SOLUTION: Action information and position information of the worker are obtained by a first sensor node and at least one of status information and position information of an article is obtained by a second sensor node utilizing a sensor network. By combining these obtained information with each other, action analysis of the worker, specification of the working content and evaluation of the working circumstance are performed. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a worker's work management system and article quality management system in a distribution site, and more particularly to a worker's work management system and article quality management system using a sensor network.

  In the field of distribution of various goods, the movement of quality control of goods throughout the distribution has become stronger due to the introduction of traceability. Traceability manages production / distribution history from the production / manufacturing of goods to processing, delivery, and sales. For this purpose, barcodes, two-dimensional codes (two-dimensional barcodes), IC tags, or sensors are used for articles. Install the node. The use of IC tags is increasing due to the fact that information can be written to the internal memory and the reading distance is larger than that of bar codes and two-dimensional codes. However, in the quality control of an article, it is not sufficient to manage the distribution channel alone, and it is necessary to measure the influence of the article on the surrounding environment such as temperature and impact. Since the IC tag itself does not have a function for measuring those influences, it is necessary to measure the influence of the environment using a sensor or the like, and record and manage the measurement result in association with the IC tag. Therefore, quality control by a sensor network using a sensor node incorporating a sensor capable of measuring temperature and shock has been proposed.

  However, simply recording the history of the detected state can only monitor the quality up to the stage of referring to the history. In order to realize high-performance traceability that guarantees quality, for example, it is possible to grasp in real time the work status such as whether work that deteriorates quality is being done or whether there is a risk of quality deterioration due to work progress being delayed Therefore, it is necessary to integrally manage the state of each item, environment, and person (worker).

  From the viewpoint of work management, not only the above-mentioned distribution sites, but also production efficiency such as factories, construction sites, facility inspection sites, offices, and offices can be used to improve work efficiency and safety. Improvement is demanded. For that purpose, it is necessary to grasp the work location and work contents of the worker, and also grasp the position and status of the goods and parts handled by the worker at the same time, so that the work contents can be grasped more accurately. is necessary. In addition, it is also necessary to evaluate the work results, work plans, etc. by performing work evaluations that identify waste, errors, dangers, and causes of their occurrence based on the grasped results. .

  As described above, in various fields dealing with goods such as distribution and manufacturing, from the quality control and work management, the location and state of both people (workers) and goods (products, parts, etc.), as well as the surrounding environment It is important to grasp the state in association with each other. In the traceability mentioned above, in order to reduce the cost of the entire logistics by realizing the work efficiency improvement of the workers by implementing work management, in order to reduce the cost of the whole logistics for the problem of cost increase caused by introducing the traceability system, It is necessary to integrally manage the environment and the state of each person.

  In order to grasp the state (motion) of a person, there is a method of shooting and analyzing with a video camera. However, there are problems such as difficulty in recognizing moving people and multiple people, complexity of processing, etc. In order to solve the problem, a method of detecting an operation by attaching an acceleration sensor or the like to a person has been proposed (see, for example, Patent Document 1 below).

  In addition, as an example of grasping the state of an article, a sensor for detecting the remaining amount of the product is installed at the product and its installation location to grasp the remaining amount and the inventory status, and the ordering work is performed based on the detection result. A method has been proposed (see, for example, Patent Document 2 below).

Furthermore, a method has been proposed in which an IC tag is attached to a person and an article, and a person's work is determined using the state of the article (for example, see Patent Document 3 below).
Japanese Patent No. 3570163 JP 2005-112499 A JP 2005-63352 A

  As described above, in order to properly manage work and quality, the location and state of both people (workers, etc.) and articles (products, parts, etc.), as well as the state of the surrounding environment, are related to each other. However, the conventional method has the following problems.

The above-mentioned patent document 1 discloses an example in which recognition of human movement and behavior is executed by measurement data and positioning data by a sensor attached to a person who wants to observe. By associating the movement of the person who is working with the place where the person is working, it is possible to estimate the work contents such as operating the machine installed at that place, but the work object is measured. As a result, there is a problem that the estimation accuracy is not necessarily high. Furthermore, from the viewpoint of evaluation of work contents, there were the following problems.
(1-1) Cannot point out work mistakes: For example, when carrying goods, it can be estimated that something is carried, but it cannot be determined whether it is a goods that should be carried. It cannot be pointed out even if transported.
(1-2) Unnecessary work cannot be pointed out: For example, when a product is unloaded from a shelf, the worker cannot determine which product should be unloaded, so another product is unloaded once and is different. It is not possible to point out that the work is useless if the operation is repeated until it is confirmed and returned to the shelf and the correct product can be taken out.
(1-3) The approach of the machine to the worker cannot be detected: For example, it cannot be detected that the machine moving around to the worker is approaching.
(1-4) It is impossible to detect that a dangerous operation is being performed: For example, it is impossible to detect that a dangerous heavy product is being carried alone unless it is carried by two people.
(1-5) Cannot detect the quality control status of the product by the worker: When it is known that the fragile product is being transported, it cannot be detected whether the product is being carried quietly to the extent that it is not broken. In the first place, it cannot be recognized from the observation data of workers whether or not they carry fragile products. Alternatively, it is not possible to recognize whether the worker appropriately controls the temperature of the product for the product requiring temperature management.

  In the above-mentioned Patent Document 2, the remaining amount and stock of an article are installed, a sensor for detecting the remaining amount of the article is installed at the article and its installation location, the remaining quantity and the inventory status are grasped, and the ordering work is performed based on the detection result. A method of performing is disclosed. Although it is possible to grasp the state of an article in order to measure the article, it can be inferred that an operation that changes the state of the article, such as the article being used or replenished, has been performed for human work. Only.

  Patent Document 3 discloses an example of recognizing work contents by attaching an IC tag to a person (employee at a restaurant) and an article (such as a dish). The operation of the IC tag, such as reading the IC tag with a reader, can be recognized as a human operation, but other operations can only be estimated when a person and an article are in a specific location (moving). . As in the case of Patent Document 1, there is a problem in that the estimation accuracy is not necessarily high. Further, regarding the problems (1-1) to (1-5) described in the description of the above-mentioned Patent Document 1, (1-1) and (1-3) can be detected to some extent by grasping the location of articles and people. However, (1-2), (1-4), and (1-5) are still undetectable. Furthermore, because of the use of IC tags, the communication distance is short, and it is necessary to arrange tag readers closely in order to grasp work and products continuously without any breaks. There was a problem that it was not practical at all.

To summarize the above problems of the prior art,
(2-1) In general, work contents cannot be specified with high accuracy only by human sensing. I can only grasp the level that this work seems to be done because I am in this place and do this.
(2-2) The situation of the object to be worked cannot be grasped only by human sensing.
(2-3) In general, work contents cannot be specified only by sensing an article. You can only grasp the level that the work seems to be done because the item is here, moving, or moving here. In addition, although it is understood that it is related to the quality of the article (for example, it is left at high temperature), it is not possible to recognize why this is so in relation to the work.
(2-4) When an IC tag is attached to a person and an article, both positions can be specified, but even if both the person and the article are combined, the work content cannot be specified with high accuracy. Because people and things are here (being there), moving, or moving here, they can only grasp the level that this work seems to be done. Further, since the communication distance is shorter than that of the sensor node, it can be recognized only at a place where the tag reader is located.

As described above, the work content cannot be accurately identified, and the quality cannot be grasped in association with the work, so that (2-5) the work content cannot be appropriately evaluated.
There was a problem.

  As described above, the evaluation of work contents is whether work is performed without errors, useless work / action is performed, whether work is performed safely, or quality control is performed correctly. , Etc., and further identifying the cause of the occurrence of any problems.

In order to solve the above problems, the present invention senses both the state of both the person and the article, and further correlates the sensed state of both, so that (3-1) the work content is accurately grasped in real time.
(3-2) to accurately grasp the state of goods such as products,
(3-3) Evaluate whether the work contents are appropriate based on the results, and further provide feedback to workers and managers.
It is an object of the present invention to provide a work management system including article management characterized by this. Examples of feedback to the workers and managers include work instructions, danger notifications, and work progress notifications. For example, in the notification of work progress status, in addition to the work manager managing the progress status of each worker collectively at the administrator terminal etc., the worker can grasp his own progress and results, Progress can be confirmed, and it can be used to improve worker motivation.

  Still another object of the present invention is to accumulate not only real-time analysis but also human and article sensing results and provide data for offline analysis. Examples of offline work analysis include inefficiency analysis, risk analysis, personal work evaluation, etc., and review the work flow, product placement, veteran and newcomer work comparison, and skill evaluation.・ Can be used for education.

  The work management system of the present invention uses a sensor network, acquires worker operation information and position information by a first sensor node, and acquires at least one of article state information and position information by a second sensor node. Then, the worker's motion analysis is performed based on the worker's motion information, and the worker's motion analysis result and the worker's position information, and at least one of the article state information and the position information are used. The work content is identified, and the worker's work situation is evaluated using at least one of the work content, the worker's motion analysis result, the worker's position information, and the article state information and position information. It is characterized by.

  According to the present invention, the state of both a person and an article is sensed, and further, the person can perform in real time by associating both the sensed states (for example, the movement of the person and the place with the movement and the place of the object). It is possible to perform work management including goods management by accurately grasping the contents of work performed, accurately grasping the state of goods such as products, evaluating whether work contents are appropriate, and providing feedback to workers and managers. To. As for work contents, safe and efficient work is enabled by evaluating work waste and errors, safety, quality maintenance, and the like. Furthermore, we provide data for offline analysis, review the work flow of inefficiency analysis, risk analysis, individual work evaluation, etc., review product placement, compare work between experienced and newcomers, skill evaluation It can be used for education.

<First Embodiment>
Hereinafter, an embodiment for carrying out the present invention will be described with reference to the drawings. This embodiment shows an example of a work management system in which a sensor network system is applied to a warehouse management system. In order to ship a product stored in a warehouse, an operator can store a warehouse based on a shipping slip given in advance. A description will be given of an example in which the present invention is applied to an example in which a commodity displayed (or stored) on a shelf inside is picked and transferred to a shipping inspection area provided in a warehouse.

  FIG. 1 is a diagram showing the system configuration and work procedure of the present embodiment. FIG. 2 is a diagram showing a processing flow of the present embodiment.

  In the following description, unless otherwise specified, the sensor network is a wireless sensor network in which communication between the sensor node and the base station is wireless. However, it does not exclude the presence of a wired part. The sensor network is a sensor node SN having one or more sensors for measuring the state of the sensor network attached to a person / article, one or more base stations (including relay stations) BST, and system management for managing the sensor network. It consists of a server (management computer) TSNS and an administrator terminal ADT.

  In the present embodiment, as the sensor node SN, a sensor node MSN that is attached to a worker and detects the movement of the worker, a sensor node GSN that is attached to an article such as a commodity or a machine and detects the movement of the article, An example including a positioning sensor node LSN that detects the position of the sensor nodes MSN and GSN installed on a shelf on which the sensor is mounted and a sensor node ESN that measures an environment such as temperature and humidity in the warehouse is shown.

  The sensor node MSN attached to the worker includes a three-axis acceleration sensor as the sensor SSR, a first acceleration sensor that detects the forward and backward movement of the worker, a second acceleration sensor that detects the vertical movement of the worker, A third acceleration sensor for detecting left and right movement of the worker is provided. The sensor node MSN includes an identification information recording circuit that stores a unique identifier for identifying a worker. The sensor node MSN transfers the detected acceleration and identifier to the base station BST. The base station BST transfers the sensing data (acceleration, identifier) received from the sensor node MSN to the system management server TSNS.

  Similarly to the sensor node MSN, the sensor node GSN that is attached to an object such as a product detects the movement of the product and the like, the first acceleration sensor detects the back and forth movement of the product, and the second The vertical movement of the product is detected by the acceleration sensor, and the horizontal movement of the product is detected by the third acceleration sensor. The identification information recording circuit of the sensor node GSN stores an identifier for identifying an individual product or machine. The sensor node GSN transfers the detected acceleration and identifier to the base station BST.

  The sensor node ESN that measures the environment includes a temperature sensor and a humidity sensor as the sensor SSR, and transfers information about the environment detected by the sensor SSR to the base station BST.

  In addition, the positioning sensor node LSN communicates with the sensor nodes MSN and GSN, and specifies the position of the worker or product wearing the sensor nodes MSN and GSN from the electric field strength or the like. For example, the positioning sensor node LSN acquires the identifiers of the sensor nodes MSN and GSN whose electric field strength exceeds the threshold value and transfers them to the base station BST, and the positions of the sensor nodes MSN and GSN are in the vicinity of the positioning sensor node LSN. To be informed. The system management server TSNS that has received the data from the positioning sensor node LSN from the base station BST can specify the positions of workers and products in the warehouse as the vicinity of the positioning sensor node LSN.

  The sensor node SN is assumed to be a multi-hop network capable of communication between the sensor nodes SN. The base station BST and the system management server TSNS are connected to each other via a network NWK such as a LAN or the Internet. The sensor node MSN, GSN, LSN, and ESN are collectively referred to as the sensor node SN.

  The base station BST transfers the data received from each sensor node SN (hereinafter referred to as sensing data) to the system management server TSNS.

  The system management server TSNS is a computer including a CPU, a memory, and a storage device, and executes a sensor network management system that manages a sensor network system and a warehouse management system that manages workers and products.

  The sensor network management system manages the configurations of the sensor node SN and the base station BST, and manages sensing data. In this embodiment, the sensor network management system passes the sensing data acquired from the sensor node SN to the warehouse management system, and the sensor network management system sends a command or the like applied from the warehouse management system to the sensor node SN from the base station BST. Transfer to each sensor node SN.

  As will be described later, the warehouse management system manages workers and products based on sensing data acquired from the sensor network management system. In other words, the warehouse management system is a system that performs work planning / management, inventory management, and the like of people and goods, and notifies the manager of the management contents via the management display terminal ADT.

  In the present embodiment, as shown in FIG. 1, an example in which the sensor network management system and the warehouse management system are integrated into the system management server TSNS is shown. However, the sensor network management system and the warehouse management system are executed by independent computers. These systems and sensor networks may be integrated via the network NWK.

  The warehouse management system also has a work plan database (denoted as work plan DB in the figure) PDB for storing a work plan to be described later and a history database (in the figure) for storing various histories such as sensing data and analysis results. (History DB and description) LDB is also provided. In the following description, the sensor net management system and the warehouse management system will be described as one integrated system. This integrated system is configured as follows.

  (TSS-1) A sensor node MSN is attached to each worker M to be managed.

  (TSS-2) The articles to be managed are commodities to be distributed, shelves or floors for storing the merchandise, machines such as forklifts for transporting the merchandise, and sensor nodes GSN are attached to these articles G .

  (TSS-3) The sensor node ESN is also attached to measure the environment of the place where the product is placed such as a warehouse. In FIG. 1, the sensor node ESN is attached to the storage area of the warehouse.

  (TSS-4) The sensor nodes LSN for positioning the moving sensor nodes MSN and GSN are installed. This detects radio waves emitted from the moving sensor nodes MSN and GSN, and when detected, determines that the mobile node is in the vicinity of the positioning sensor node LSN. When a plurality of positioning sensor nodes LSN detect the same moving sensor nodes MSN and GSN, the sensitivity of each positioning sensor node LSN is automatically reduced, and finally one positioning sensor node Positioning is performed by enabling detection of the sensor nodes MSN and GSN to which the LSN moves. As the sensor node LSN for positioning, a non-moving sensor node GSN attached to the article may also serve as the role. FIG. 1 shows an example in which positioning sensor nodes LSN are installed on the shelf 1 to the shelf 4, respectively.

  The ID of each sensor node SN attached to the worker, the article, and the environment is registered in advance in the system management server TSNS and managed by the system management server TSNS. The storage location of the product G for each work phase in the work procedure WF is managed by the system management server TSNS for each ID of the sensor node GSN installed in the product G.

  (TSS-5) Each sensor node SN communicates with the base station BST. A sufficient number of base stations BST are installed so that measurement data (sensing data) of each sensor node SN can be observed in real time without omission. In FIG. 1, base stations BST are attached to the storage area and the shipping area of the warehouse.

  (TSS-6) The system management server TSNS has a sensor network management function and a warehouse management system management function. Various necessary functions are provided. The system management server TSNS need not provide each function with a single server, and may perform distributed processing with a plurality of servers. The hardware that provides these functions is not limited to models such as a dedicated server and a personal computer.

  Next, the configuration and operation of the sensor node SN (MSN, GSN, ESN, LSN) will be described with reference to FIG.

  As shown in the block diagram of FIG. 2, the sensor node SN includes a control unit LSI that realizes its central function, an antenna ANT that transmits and receives data to and from the base station BST, a sensor SSR that measures the external environment, a notification device NTC, An infrared light emitter INFR and a power supply POW that supplies power to the control unit LSI and the sensor SSR are configured.

  The power source POW is a primary battery, a rechargeable secondary battery, a power generation element (solar power generation element, vibration power generation element, microwave power generation element, etc.) and a capacitor or secondary battery for storing power generation energy, or a combination of these batteries. It is.

  The control unit LSI is connected to the antenna ANT and controls a radio transmission / reception circuit RF that controls transmission / reception of data to / from the base station BST, a controller circuit CNT that is a CPU (Central Processing Unit) that performs overall control of the control unit LSI, and a sensor node An identification information recording circuit IDM which is a non-volatile memory (for example, a flash memory) for recording identification information unique to the SN; an A / D conversion circuit ADC for A / D (Analog / Digital) conversion of data input from the sensor SSR; A program memory PM that is a ROM (Read Only Memory) for recording a program, a timer circuit RTC that generates a signal (clock signal) at regular intervals, and power supplied from the power supply POW are adjusted to a constant voltage, and power Consists of a power control circuit PCNT that performs control to turn off the power and reduce power consumption when not needed The The control unit LSI may be limited to one chip, or may be a board on which a plurality of chips are mounted or an MCP (Multi Chip Package).

  In order to enable the sensor node SN to perform measurement by the sensor SSR for a long time with limited power, it is desirable to operate the sensor SSR and the controller circuit CNT intermittently to reduce power consumption. Therefore, for example, in the sleep state, the controller circuit CNT stops the operation of the sensor SSR, and switches the sensor SSR to the operation state intermittently at a predetermined timing, that is, by an interrupt by a clock signal generated by the timer circuit RTC. To send.

  In addition, the sensor node SN has a notification device NTC that is a mechanism for communication with the person wearing it. The notification device NTC can be configured by a buzzer, a light emitting diode (LED), a liquid crystal panel, an infrared light emitter, a response button, and the like. In these mechanisms, one sensor node SN may have a plurality of notification devices NTC.

  Next, an example of requirements necessary for quality management and work management of the warehouse management system will be described.

  In the sensor node MSN attached to the worker M, an acceleration sensor, a temperature sensor, and an infrared sensor are provided as the sensor SSR, and an infrared light emitter, a buzzer, a light emitting diode, a liquid crystal panel, and a reply button are mounted as the notification device NTC.

  The sensor node GSN attached to the product G is provided with an acceleration sensor, a temperature sensor, and an infrared sensor as the sensor SSR, and an infrared emitter and a light emitting diode are mounted as the notification device NTC.

  The sensor node GSN attached to the shelf is provided with a temperature sensor and an infrared sensor as the sensor SSR, and an infrared light emitter and a light emitting diode are mounted as the notification device NTC.

  The sensor node ESN attached to the environment is equipped with a temperature sensor as the sensor SSR.

  Further, a positioning sensor node LSN is installed on each shelf, and the radio field intensity of each sensor node MSN, GSN is measured. The positioning sensor node LSN can know the positions of the sensor node MSN attached to the worker M and the sensor node GSN attached to the product G based on the detected radio wave intensity of the sensor nodes MSN and GSN.

  Next, the work procedure WF of the worker M performed in the warehouse will be described.

In the work procedure WF, the following items are described for each work item constituting a series of work.
(WF-1) Work name: Indicates a name such as arrival inspection, transportation.
(WF-2) Work order: Indicates the order in a series of work.
(WF-3) Scheduled work time: Indicates scheduled work start and end times.
(WF-4) Worker M: Name of worker, ID of sensor node MSN if worn.
(WF-5) Equipment / equipment used: Equipment / equipment name used for the work. ID of sensor node GSN if attached. For example, picking cart, forklift, truck, etc.
(WF-6) Work target product G (ID of each sensor node) and worker instruction method: In the work concerned, the ID of the sensor node GSN of the direct work target product G and the instruction method performed by the sensor node to the worker M Indicates.
(WF-7) Location of work target product G: Indicates the place where the work target product G is placed at the start and end of the work. One or more base stations BST are installed at those locations, and the locations and the base stations BST are associated with each other.
(WF-8) Setting parameter (for each sensor node GSN attached to the product G): In this work, the sensor node GSN attached to the direct work target product G and the sensor node attached to the related product G Each ID of GSN and its setting parameters. The setting parameter defines the measurement interval (intermittent operation interval) for each sensor such as temperature and acceleration. For example, if it is an operation to unload a part of the product G loaded on the truck, the direct work target product G is a product to be unloaded from the truck, and the related product G is a product that is left unloaded from the truck. is there.
(WF-9) Environmental measurement sensor node ID: ID of the environmental measurement sensor node ESN installed at the work place.
(WF-10) Work content: Indicates the work content.
The contents of these work procedures are associated with the ID of the sensor node SN in the system management server TSNS. The contents of the work procedure can also be displayed on the management display terminal ADT.

  Next, the processing flow PF shown in FIG. 3 will be described. The worker who performs the work acquires a work slip in advance from the system management server TSNS, and the system management server TSNS associates the work procedure WF of the work plan database PDB with the ID of the worker's sensor node MSN.

In FIG. 3, first, in the initial analysis process PF1, sensing data from each sensor node SN attached to a worker, an article, and the environment is input, and the following analysis is performed.
(1) Analysis of basic motion based on acceleration data of sensor node MSN attached to worker M.
Based on the measurement data of the 3-axis acceleration sensor included in the sensor SSR of the sensor node MSN, the system management server TSNS analyzes the basic operation of the worker. The basic movements of workers are the basic movements that constitute the work such as resting, walking, running, raising / lowering arms, standing up / sitting. Various methods of motion analysis of the sensor node MSN by the acceleration sensor have been proposed, and the motion analysis method is not particularly limited in the present invention. As a simple example, when walking with an acceleration sensor attached to the chest or waist, the vertical acceleration changes periodically (landing for each step), and the longitudinal acceleration is synchronized with the vertical acceleration. Then, the front and back directions are repeated regularly (speed change at each landing), and the acceleration in the left and right direction is repeated in synchronization with the acceleration in the vertical direction (swing of the body to the left and right at each step). Can be observed. When the acceleration sensor is attached to the arm, it can be observed as a waveform in which the arm swing overlaps with this (FIG. 4a). When the above regularity appears almost simultaneously and at almost equal intervals, the system management server TSNS can estimate that the user is walking at a substantially constant speed. Alternatively, the system management server TSNS may determine the operation of the worker by performing fast Fourier transform on acceleration data instead of the acceleration waveform and analyzing the frequency component.

  In the case of raising and lowering the arm, when the acceleration sensor is attached to the arm, as shown in FIG. 4b, the acceleration of the vertical axis and the acceleration of the longitudinal axis in the state where the arm is lowered are halfway. Waveforms that intersect at As described above, the feature amount of each basic operation is extracted for each location where the acceleration sensor of the sensor node MSN is attached and registered in the work plan database PDB or the like in advance, and the system management server TSNS determines the operation by pattern matching. be able to.

  (2) The location is specified by the positioning data of the sensor node MSN attached to the worker M.

  The system management server TSNS specifies the location of the worker M or the product G based on the ID of the positioning sensor node LSN communicated with the sensor nodes MSN and GSN and the installation location of the positioning node sensor node LSN. The location of the positioning sensor node LSN is assumed to be registered in advance.

  (3) Face-to-face analysis based on infrared sensor data of sensor node MSN attached to worker M.

  The infrared rays emitted from the sensor nodes (sensor nodes MSN attached to other workers, sensor nodes GSN attached to goods such as goods, shelves, and machines) received by the worker are received, and from the ID of the infrared data, The facing sensor node SN, that is, the facing worker, product, machine, shelf, etc. is specified.

  (4) Environmental analysis based on temperature sensor data of the sensor node MSN attached to the worker M.

  The temperature of the work place of the worker is specified from the sensing data of the temperature sensor included in the sensor SSR of the sensor node MSN.

  The sensing data of (1) to (4) above is analyzed with the result of a certain continuous measurement time range such that acceleration data is 2 seconds or more, for example. In other cases, the data at the moment of measurement of the sensor may be used.

  (5) Analysis of the movement of the product based on the acceleration data of the acceleration sensor of the sensor node GSN attached to the product G and the temperature data of the temperature sensor.

  When the measurement result of acceleration different from the stationary state is obtained from the sensing data of the sensor node GSN, the system management server TSNS can determine that the product G has moved (FIG. 4d). The impact applied to the product G can also be detected based on the magnitude of the acceleration detected by the sensor node GSN. It can also be determined that the product G has moved due to a temperature change (FIG. 4c).

  (6) The infrared sensor and temperature sensor data of the sensor node GSN attached to other products and the sensor node ESN attached to the environment are processed by the system management server TSNS in the same manner as the sensor node attached to the worker.

  As described above, in the initial analysis process, the basic operation of the worker, the position, the movement of the product, the position, the worker and the product, the temperature of the environment, the face-to-face situation, and the like are grasped. The analysis result of the operation based on the sensing data is stored in the history database LDB together with the measurement time and the ID of the sensor node SN.

  Next, the work content analysis process PF2 refers to the work plan database PDB and the history database LDB as necessary from the result of the initial analysis process PF1, and grasps the work content of the worker M and the state of the product.

  For example, when the arm M is raised and lowered in front of the storage shelf, the worker M can determine that there is a possibility of picking (removing) or storing work, and at the same time, the product G stored on the shelf moves. If it is known, it can be determined that the possibility of picking is high, and if it is found in the work procedure WF that it is a shipping operation, it can be almost determined that it is picking. Thus, in addition to the basic operation of the worker, by combining the position of the worker, the movement and position of the product being handled, and further referring to the contents of the work plan database PDB including the work procedure WF This makes it possible to grasp work contents with high accuracy.

  On the other hand, the state of the product G is, for example, in the above case, in the system management server TSNS, “accelerated from the shelf by picking” from the acceleration detected from the sensor node MSN of the worker and the acceleration detected from the sensor node GSN of the product G. It can be determined. Another example is grasping the situation such as being placed in an environment of 20 ° C. for 15 minutes.

  The system management server TSNS performs these analysis processes on each worker M and each product G as needed. Further, the system management server TSNS stores the analysis processing result in the history database LDB.

  Next, the work evaluation process PF3 evaluates the work contents of the worker M and the quality of the product G with reference to the result of the work content analysis process PF2 and the work plan database PDB and the history database LDB as necessary. The evaluation items of the work evaluation process PF3 vary depending on the work items assigned to the workers, but are error or waste of work, safety, quality deterioration, and the like. Furthermore, it is determined whether or not it is necessary to provide feedback to the worker M based on these evaluation results, and whether or not the measurement conditions such as the measurement interval of the sensor need to be changed. The system management server TSNS stores these results in the history database LDB.

  Further, when the system management server TSNS determines that the feedback is necessary in the work evaluation process, the feedback process PF4 transmits an appropriate message to the sensor node MSN of the worker M or sets the measurement interval of the sensor SSR. Or change it. When a message is transmitted to the worker M, a response request is made including response confirmation and re-transmission. These results are stored in the history database LDB. When the work plan is changed, the work plan database PDB is also changed.

  The outline of the processing flow PF has been described above, but more specific processing will be described with reference to FIGS. 5, 6, and 11 to 20, taking the above-described picking work in shipping as an example.

  The work content shown in FIGS. 5 and 6 is that the worker M receives the picking slip, searches for the product G described on the slip from the storage shelf, puts it in the picking cart, and carries it to the shipping inspection area. Further, a plurality of sensor nodes MSN may be attached to the body of the worker M, but here, one sensor node MSN is attached to the arm so that walking, raising and lowering of the arm, and a stationary state can be observed. Furthermore, the picking slip describes a plurality of products to be picked, and if picking is performed in the order in which the products G are described, it is assumed that the picking work can be performed with the shortest route. Each table shown in FIGS. 11 to 20 is a table created in order to realize the processing.

First, the contents of the work procedure WF will be described. The work procedure WF is defined as follows for each work.
(WF1-1) Work name: Work 4 (Picking work for shipping)
(WF1-2) Work order: 4
(WF1-3) Scheduled work time: start time = 9: 10 on September 1, 2006, end time = 9: 20 on September 1, 2006.
(WF1-4) Worker: Worker M (Sato).
(WF1-5) Equipment and devices used: Picking cart.
(WF1-6) Location of work target product G: At the start of work = storage shelf of warehouse, at the end of work = shipping inspection area.
(WF1-7) Work target product G: G1 (ID = 0001), G2 (ID = 0002), G3 (ID = 0003), G4 (ID = 0004).
Location of work item G Storage location G1: Shelf 1, 3rd stage, C
G2: Shelf 1, 3rd stage, C
G3: shelf 1, 2nd tier, E
G4: Shelf 3, second stage, D
(WF1-8) Setting parameters: G1 (ID = 0001) temperature measurement interval = 1 minute, G2 (ID = 0002) temperature measurement interval = 1 minute, G3 (ID = 0003) temperature measurement interval = 1 minute, G4 (ID = 0004) temperature measurement interval = 1 minute.
(WF1-9) Sensor node ID for environment measurement: Sensor node ID for storage area temperature measurement = 1001.
(WF1-10) Work content: The worker receives the shipping slip at the slip output location, takes out the product G described on the slip from the storage area of the warehouse, puts it in the picking cart, and carries it to the shipping inspection location.

  The above is the work procedure of work order 4. Other work is omitted for convenience of explanation.

  Next, it is assumed that the operation intervals and transmission intervals of the sensors and other components mounted on each sensor node SN are set in advance as follows.

(1) Sensor node MSN attached to worker M
The acceleration sensor, temperature sensor, and infrared sensor measure at intervals of 20 milliseconds. Measurement data shall be transmitted at 1 second intervals. The infrared emitter repeatedly emits light and stops every 10 milliseconds. The buzzer, the light emitting diode, and the liquid crystal panel operate if an interrupt signal for feedback is included when a response signal indicating that the transmission signal has been received is returned from the base station. The reply button works from time to time.

(2) Sensor node GSN attached to product G
The acceleration sensor, temperature sensor, and infrared sensor measure at intervals of 20 milliseconds. Measurement data shall be transmitted at 1 second intervals. The infrared emitter repeatedly emits light and stops every 10 milliseconds. The light emitting diode operates if an interrupt signal for feedback is included when a response signal indicating that the transmission signal has been received is returned from the base station.

(3) Sensor node GSN attached to the shelf
The temperature sensor and infrared sensor measure at intervals of 20 milliseconds. Measurement data shall be transmitted at 1 second intervals. The infrared emitter repeatedly emits light and stops every 10 milliseconds. The light emitting diode operates if an interrupt signal for feedback is included when a response signal indicating that the transmission signal has been received is returned from the base station.

(4) Sensor node ESN attached to the environment
Temperature sensor measured at 10 second intervals. Measurement data shall be transmitted at 20-second intervals.

(5) Positioning sensor node LSN
The radio field strength of a nearby sensor node is measured at 20 millisecond intervals. Measurement data shall be transmitted at 1 second intervals.

  In the initial analysis process PF1, the measurement data for 5 seconds are collectively analyzed, and the work content analysis process PF2, the work evaluation process PF3, and the feedback process PF4 are sequentially performed. These processes PF1 to PF4 are repeatedly executed.

  First, when the worker M (Sato) inputs a work start from the worker terminal ADT, the host system (system management server TSNS) determines the start of the work. This work start time is the time when the worker M receives the slip at the output location of the shipping slip. In the system management server TSNS, the start of work is accepted from the worker terminal ADT, and the ID of the worker's sensor node MSN and the work procedure WF set in advance corresponding to the work slip are read from the work plan database PDB, The work procedure WF is associated with the worker M. Further, the system management server TSNS creates the work procedure table group TBWF, the worker / equipment / product table group TBA, and the position / operation / state table group TBB shown in FIGS. Are sequentially written in the history database LDB.

  At this point, it is assumed that the system management server TSNS can determine that the worker M (Sato) has received the slip. Thereafter, the system management server TSNS executes various processes on the assumption that the worker M is performing picking work for shipping. First, based on the work procedure WF, a work procedure table TBWF1, a work staff table TBWF2, a used equipment / device table TBWF3, a work target product table TBWF4, and a work content table TBWF5 that constitute the work procedure table group TBWF shown in FIG. To do. Also, a worker table TBA1, a device / device table TBA2, a product table TBA3, an environment measurement sensor node table TBA4, and a positioning sensor node table TBA5 that constitute the worker / equipment / product table group TBA shown in FIG. Here, the work procedure table group TBWF is created by registering the contents of the work procedure WF with respect to the currently started work, but the worker / equipment / product table group TBA is a worker related to the overall work performed in the warehouse. -This table stores information on equipment and products. Next, the position / operation / state table group TBB shown in FIGS. 13 to 20 is created as the work progresses. The position / operation / state table group TBB creates a worker position / state table TBBA1, a product position / state table TBBB (TBBB1 to TBBB5), and a device state table TBBC1 for each worker, each product, and each device. Initially, the work start of entry # 1 (time 9:10:00) is registered at the start of the work. At this stage, it is the work content of entry # 1 of the work content table TBWF5.

  The worker M starts moving to the shelf 1 which is the storage location of the product described at the beginning of the slip (see FIG. 5) (entry # 2 in the work content table TBWF5). An entry # 2 of the position / operation / state table group TBB is added, and the date / time is written in each table.

  Initial analysis process PF1: The data of the acceleration sensor detected by the sensor node MSN of the worker M is analyzed, and it is determined as walking. It is determined that the picking cart is moving from the data (detecting a large vibration) of the acceleration sensor of the sensor node GSN provided in the picking cart.

  The position of the worker M is determined from the positioning result and the passage toward the shelf 1 (passage 0), and the position of the picking cart is also the passage toward the shelf 1 (passage 0). In the entry # 2 of the worker position / state table TBBA1 of the worker M, the determination position is written as “passage 0”, and the determination operation is written as “walking”. In addition, in the entry # 2 of the equipment state table TBBC1 of the picking cart, the determination position is written as “passage 0”, and the determination state is written as “large vibration”. Furthermore, in the entry # 2 of the product position / state table TBBB of each product, for example, in the product position / state table TBBB1 of the product G1, the determination position is “shelf 1” where the product G1 is detected, and the determination state does not detect acceleration. So write “stationary”.

  Work content analysis processing PF2: Since the worker M walks and the positioning result of the picking cart is the same position as the worker M in the passage, in the system management server TSNS, "worker M is pushing the picking cart and walking (That is, movement) ”. Therefore, the determination work is written as “move” in entry # 2 of the worker position / state table TBBA1. The determination operation is written as “move” in the entry # 2 of the device status table TBBC1 of the picking cart. Further, the entry position 2 of the product position / state table TBBB of each product also indicates “None” because, for example, no work is performed on the product G1 in the product position / state table TBBB1 of the product G1. And write.

Work evaluation process PF3: It is determined that the work content and position are approaching the storage shelf, and it is determined that the correct work is being performed. Therefore, the evaluation is written as “◯” in the entry # 2 of the worker position / state table TBBA1. The evaluation is written as “◯” in the entry # 2 of the device state table TBBC1 of the picking cart. Further, in the entry # 2 of the commodity position / state table TBBB of each commodity, for example, the determination operation is not performed on the commodity G1 in the commodity position / state table TBBB1 of the commodity G1, and it is not an error. Therefore, write “○”. Therefore, the feedback process PF4 is not performed.
At this stage, entries up to entry # 2 of the position / operation / state table group TBB shown in FIGS. 13 to 20 are registered. In the lower part of each figure, a state where up to entry # 13 is registered is shown. This shows the state until the worker M moves to the front of the shelf 3 and stops, which will be described later in the present embodiment. In the following, although the method for adding each entry is omitted, registration is performed in the same manner as in entry # 2.

  It is assumed that the worker M arrives in front of the shelf 1 which is the first picking position two minutes after the work starts. Until then, the above-described processes are repeated in the same manner as described above, and the same determination result is obtained.

  Initial analysis processing: Analyzes data of the acceleration sensor of the worker's sensor node, and determines that the state has shifted from walking to a stationary state. Also from the acceleration sensor data acquired from the sensor node GSN of the picking cart, the system management server TSNS determines that the worker and the picking cart have shifted from movement to a stationary state. The system management server TSNS determines that the position of the worker is in front of the shelf 1 and the position of the picking cart is also in front of the shelf 1 from the measurement result of the positioning sensor node LSN.

  Work content analysis processing: Since both the worker and the picking cart are stopped in front of the shelf 1, the system management server TSNS determines that “the worker and the picking cart have stopped in front of the shelf 1”.

Work evaluation process: According to the work plan, since the first picking work is to be performed on the shelf 1, it is determined that the work has been stopped to perform the picking work from the above work content and position, and the correct work is performed. It is determined that
Therefore, the system management server TSNS does not perform feedback processing for the worker regarding the work procedure.

  Next, the worker M starts picking. It is assumed that the worker M takes the product G1 from the shelf 1 and puts it in the picking cart.

  Initial analysis processing PF1: The system management server TSNS analyzes data of the acceleration sensor of the sensor node MSN of the worker M, and determines that the arm is raised and lowered. When the data of the acceleration sensor of the picking cart sensor node GSN is analyzed by the system management server TSNS, vibration is detected for 1 second and it is determined that a light impact has been received. Based on the detection result of the positioning sensor node LSN, it is determined that the position of the worker M is in front of the shelf 1 and the position of the picking cart is also in front of the shelf 1. Furthermore, the acceleration sensor of the product G1 detects the movement of the product G1, and the system management server TSNS determines that the product G1 has been moved.

  Work content analysis process PF2: The system management server TSNS acquires the sensing data acquired from the sensor node MSN of the worker M, the sensing data acquired from the sensor node GSN of the product G1, and the positioning sensor node LSN installed on the shelf 1. From the sensing data, since the arm of the worker M is raised and lowered, the movement of the product G1, the impact of the picking cart, and the worker position and the picking cart position are both on the shelf 1, "the worker takes the product G1 out of the shelf 1 and picks the cart. It was determined that

  Work evaluation process PF3: According to the work plan stored in the work plan database PDB, since the first picking work is to be performed on the shelf 1 and the product G1 is to be picked, the system management server TSNS Determines that the picking work has been correctly performed from the work contents and position of the worker M.

  Since the work has been normally performed, the system management server TSNS does not perform the feedback process PF4 shown in FIG.

  Assume that the worker M continues to take out the product G5 instead of the planned product G2 from the shelf 1 and put it in the picking cart (see FIG. 6).

  Initial analysis process PF1: Similar to the above, the system management server TSNS analyzes the data of the acceleration sensor acquired from the sensor node MSN of the worker M, and determines that the arm is raised and lowered. Further, when analyzing the data of the acceleration sensor of the sensor node GSN of the picking cart, the system management server TSNS determines that vibration has been detected for 1 second and has received a light impact. The system management server TSNS determines that the position of the worker M is in front of the shelf 1 and the position of the picking cart is also in front of the shelf 1 based on the sensing data of the positioning sensor node LSN. Further, the acceleration sensor of the product G5 detects the movement of the product G5, and determines that the product G5 has been moved. On the other hand, the acceleration sensor of the product G2 does not detect movement. That is, it determines with the goods G2 not moving.

  Here, the system management server TSNS refers to the work procedure WF corresponding to the shipping slip acquired by the worker M from the work plan database PDB, and monitors the products G2, G3, and G4 that have not been picked. Do.

  Work content analysis process PF2: Since the arm of the worker M is raised and lowered, the movement of the product G5, the impact of the picking cart, and the position of the worker M and the picking cart are both on the shelf 1, the "worker M puts the product G5 on the shelf The system management server TSNS determines that “1 has been taken out and placed in the picking cart”.

  Work evaluation process PF3: According to the work plan (work procedure WF), the goods G2 and G3 are picked in the shelf 1, but the goods G2 and G3 do not move in the work content analysis process PF2. Since it is determined that the product G5 has been picked, the system management server TSNS determines that “the product G5 has been taken down without picking the scheduled products G2 and G3, and therefore the work error”. Further, the system management server TSNS determines that “it is necessary to convey a work error to the worker M”, and performs the feedback process PF4.

  Feedback process PF4: From the result of the work evaluation process PF3, the system management server TSNS sends a message “Product G5 is incorrect. Please drop products G2 and G3” to the sensor node MSN of the worker M. At the same time, the system management server TSNS transmits a predetermined command so as to sound the buzzer of the sensor node MSN of the worker M. The message transmitted by the system management server TSNS is displayed on the liquid crystal panel of the sensor node MSN of the worker M. The worker M confirms the message, and when the message is accepted, presses the “OK” button to respond. Since the system management server TSNS has received a “OK” response in the feedback process, the process ends.

  As a result, it is assumed that the worker M returns the product G5 to the shelf. At this time, processing is performed as follows.

  Initial analysis processing PF1: The system management server TSNS analyzes data of the acceleration sensor of the sensor node MSN of the worker M, and determines that the arm is raised and lowered. When the system management server TSNS analyzes data of the acceleration sensor of the sensor node of the picking cart, vibration is detected for 1 second and it is determined that a light impact has been received. It is determined that the position of the worker is in front of the shelf 1 and the position of the picking cart is also in front of the shelf 1. Further, the acceleration sensor of the product G5 detects the movement of the product G5, and determines that the product G5 has been moved.

  Work content analysis processing PF2: The system management server TSNS raises and lowers the arm of the worker M, the movement of the product, the impact of the picking cart, and the position of the worker and the picking cart are both on the shelf 1. It is determined that “G5 is removed from the picking cart and placed on the shelf 1”.

Work evaluation process PF3: The system management server TSNS picks the product G5 by mistake according to the work plan and work history (the above-mentioned result), and the operator 1 determines the error, so the product G5 is placed on the shelf. It is determined that it is correct to put it in 1.
Therefore, the system management server TSNS does not perform the feedback process PF4.

Next, it is assumed that the worker M takes out the scheduled product G2 from the shelf 1 and puts it in the picking cart. In this case, the system management server TSNS determines that the correct process has been performed from the read work procedure WF as in the case of the product G1. For the merchandise G3 on the shelf 1, when the worker M performs the picking according to the work procedure WF,
Next, it is assumed that the worker M pushes the picking cart to move to the next picking place of the product, leaves the shelf 1 and goes out to the passage.

  Initial analysis process PF1: The system management server TSNS analyzes data of the acceleration sensor of the sensor node MSN of the worker M and determines that it is walking. The system management server TSNS determines that the movement is also made from the acceleration sensor data of the sensor node GSN of the picking cart. Based on the sensing data of each positioning sensor node LSN, the system management server TSNS determines that the position of the worker M is on the path toward the shelf 3 and the position of the picking cart is also on the path toward the shelf 3.

  Work content analysis processing PF2: Since the worker M walks and the positioning result of the picking cart is the same position as the worker M in the passage, the “worker M is walking pushing the picking cart” Is determined.

Work evaluation process PF3: The system management server TSNS determines that the work plan, the work content, and the position are directed to the next storage shelf, and determines that the work has been performed correctly.
Therefore, the feedback process PF4 is not performed.

Next, it is assumed that the worker passes near the shelf 3 as the next picking place and approaches the shelf 4. (It is assumed that passing through the vicinity of the shelf 3 can be detected by the positioning sensor node LSN.)
Initial analysis process PF1: The system management server TSNS analyzes the acceleration sensor data of the sensor node MSN of the worker M and determines that it is walking. Similarly, the system management server TSNS determines that the movement is also made from the acceleration sensor data of the sensor node GSN of the picking cart. The system management server TSNS determines that the position of the worker M is close to the shelf 4 and the position of the picking cart is also close to the shelf 4 based on the sensing data of each positioning sensor node LSN.

  Work content analysis processing PF2: Since the worker M walks and the positioning result of the picking cart is the same position as the worker M in the passage, the “worker M is walking pushing the picking cart” Is determined.

  Work evaluation process PF3: The system management server TSNS needs to pick the product G4 on the shelf 3 in the plan (work procedure WF) stored in the work plan database PDB, but the work history stored in the history database LDB Since it is past the shelf 3 and close to the shelf 4, it is determined that "the moving location is incorrect". Further, it is determined that “worker M needs to be notified of work error”.

  Feedback processing PF4: The system management server TSNS transmits a message “shelf 4 is incorrect. Please go to shelf 3” to the sensor node MSN of the worker M from the result of the work evaluation processing PF3. At the same time, the system management server TSNS transmits a predetermined command and sounds the buzzer of the sensor node MSN of the worker M. The message is displayed on the liquid crystal panel of the sensor node MSN of the worker M. The worker M confirms the message, and when the message is accepted, presses the “OK” button to respond. When the system management server TSNS receives this response, the system management server TSNS terminates the process because it has received a “OK” response to the feedback process PF4.

  Next, it is assumed that the worker M has moved to the front of the shelf 3 which is the next picking place. Although details are omitted, since the processing is performed by the system management server TSNS in the same manner as described above and stopped in front of the shelf 3, it is determined to be correct.

  Such processing is repeatedly performed until the work of the worker M (work procedure WF) is completed, that is, until the worker M finishes moving the picking target products on the picking cart at the shipping inspection location.

  The above process is a repetitive process based on the sensing data detected by the system management server TSNS every 5 seconds. However, there are cases where determination in each process is impossible within the range of 5 seconds. For example, if only the “worker raised his arm” is known, it is not possible to determine whether or not the picking is performed unless the subsequent motion is analyzed. When the system management server TSNS cannot make a determination in this way, the work content analysis process PF2, the work evaluation process PF3, and the feedback process PF4 are performed after the data until the determination is complete, for example, when the data for 15 seconds is collected. You should do it.

  Further, when the positioning sensor node LSN installed on the shelf and the sensor node MSN attached to the worker face each other, either of the infrared sensors detects the partner sensor node, thereby causing an error in the moving location. Can also be detected. In this case, at least one of the sensor node MSN and the positioning sensor node LSN executes infrared light emission at a predetermined cycle. The sensor node MSN attached to the worker M emits infrared light and the positioning sensor node LSN installed on the shelf determines the location by receiving light, or conversely, the positioning sensor node LSN installed on the shelf emits infrared light. The sensor node MSN attached to the worker M can detect the location by receiving light.

  Further, when the system management server TSNS determines that the worker M has come to a predetermined work place, the system management server TSNS illuminates the light emitting diode of the sensor node GSN attached to the target product G, or the positioning sensor node LSN installed on the shelf. It is possible to prevent mistakes in advance by visualizing the product G and its position by illuminating the light emitting diode.

  As described above, it is possible to detect an error at an early stage of the work by detecting an error of the moving place or an error of the product G to be taken out during the work of the worker M and immediately notifying the worker M, Rework can be reduced.

<Second Embodiment>
In the second embodiment, an example of useless work / motion detection will be described. As in the first embodiment, a picking operation in shipping will be described as an example. The sensor network system and the system management server TSNS have the same configuration as that in the first embodiment.

  It is assumed that the worker has come in front of the correct shelf as in the first embodiment. Suppose that it is necessary to take out five products from this shelf. The operator's arm should be raised and lowered five times. It is assumed that the movement of the worker's arm is detected and the picking work is determined in the work content analysis process PF2, but a total of nine picking work is determined. It is determined that the picking work is correct when the arm raising / lowering action of the worker and the movement of the picking target product are detected at the same time. If the correct picking operation is five times, it means that there are four extra picking operations.

Consider the following cases as the possibility of extra picking work.
(1) Take out the product and return it because it was found to be wrong.
(2) The worker cannot discriminate the product in a state where the target product is displayed on the shelf. When the worker takes out the product and sees it in the hand, the worker finds that the product is different from the target product and returns the product to the shelf.
(3) The worker has reached out to the shelf to take out the product.
(4) The worker raised and lowered his arm to get tired.

  The four extra operations include those detected as errors in the work evaluation process PF3 of the system management server TSNS and others.

  The above (1) and (2) are determined as errors in the system management server TSNS. In any case, the system management server TSNS can determine from the measurement data of the acceleration sensor of the sensor node GSN attached to the product G. That is, it can be determined by detecting the acceleration of the product G that is not the picking target. The above (2) is not an error in nature, but may be determined as an error in the sense that a message is sent to the worker. However, when an individual ability evaluation of a worker is performed, a problem may occur if an error is recorded in spite of the problem of the individual worker. Therefore, it is necessary to separately analyze the cause. In the above (3) and (4), since the movement of the product is not detected, it is determined that the movement is useless.

  In the real-time analysis in the system management server TSNS, the above processing is performed, these results are stored in the history database LDB, and the cause of the wasteful operation including an error is separately analyzed offline.

  For example, the following analysis is performed.

  First, the system management server TSNS determines under what circumstances the useless operation including the above error occurs.

  If you concentrate on a specific place or a specific product regardless of the worker, there may be a problem with the product display method (labels are difficult to see, similar products are lined up and difficult to distinguish ). If many work places are detected by a specific worker regardless of the work place, there is a high possibility that the problem is an individual ability. In addition, when the number of workers increases according to the accumulated work amount, there is a high possibility that errors increase due to fatigue, and movements for fatigue are increasing.

  In order to verify such a possibility, the manager of the warehouse confirms the site and conducts interviews from the workers to identify these causes and provide feedback. For example, the product display method and the labeling method can be used to make the product visible without taking out the product, educate workers, and review the scheduling. When it increases according to the cumulative work amount of the worker, it is also possible to dynamically change the schedule according to the cumulative work amount in the future work evaluation process PF3. For example, when the work you are working on is finished, you did not plan to take a break, but you want to take a break.

  As described above, since it is not easy to detect the useless operation in real time, it is preferable to store the history once in the history database LDB and analyze it offline. The results can be used to take necessary measures such as future work plans, product placement and display methods, and worker training.

<Third Embodiment>
In the third embodiment, an example will be described in which the present invention is applied to an example in which concentration of a worker at one place is detected or predicted and work places are distributed. Here again, picking work will be described by way of example as in the first and second embodiments. The sensor network system and the system management server TSNS have the same configuration as that in the first embodiment.

  First, the case where concentration has already occurred will be described with reference to FIG.

  It is assumed that the picking work of products performed on each shelf is the number of persons allowed for efficient work up to three people at the same time.

  The system management server TSNS includes five workers (workers A to E) in front of the shelf 1 by the initial analysis processing PF1 and the work content analysis processing PF2, and includes information from the work plan database PDB. Suppose all of the workers A to E are found to be there for picking work.

  Furthermore, in the work evaluation process PF3, the system management server TSNS has the movements of the picking items similarly that the movement of each of the workers A to E is less than the standard number of times of lifting the arm for picking, And so on. This means that the work efficiency is clearly lowered due to the five workers A to E in front of the shelf 1, and the work place of the two workers is changed in order to increase the efficiency (work order). Change). That is, the system management server TSNS determines that the work place should be changed for a number of persons exceeding the predetermined allowable number of persons = 3.

  There are several factors that determine the change. Here, for example, a method of minimizing the entire moving distance is taken. As a solution, the picking locations of the workers C and E are once changed to the shelf 2, and after performing the work there, the original location is returned to the shelf 1. An example of a method for obtaining this solution will be described. First, for each of the workers A to E, the next moving destination shelf of the shelf 1 is arranged in the order of the shelf closer to the shelf 1. Next, the change that the work is performed in the original next movement destination shelf and then returned to the shelf 1 is changed for the necessary number of persons, that is, two persons exceeding the allowable number of persons in the order of the workers. More specifically, each shelf is a shelf 2, a shelf 3, and a shelf 4 in order from the shelf 1, the worker C scheduled to work on the shelf 2, the worker E, and the worker B scheduled to work on the shelf 3. The worker A and the worker D scheduled to work on the shelf 4 are in this order. Here, since the worker C and the worker E are scheduled to work on the shelf 2, they may be ranked according to a rule such as ID order. The same applies to the workers A and D. The predetermined permissible number of persons exceeds two, and two workers C and E with higher ranks are selected, and the work place is determined to be changed as described above. The system management server TSNS sends a message “Please change the picking location to the shelf 2” to the sensor nodes MSN of the workers C and E in the feedback process PF4. When received, reply with the “OK” button and change the work.

  As a result, concentration on the shelf 1 can be eliminated and work efficiency can be improved.

  Next, a case where concentration is predicted will be described with reference to FIG.

  In the above-described case, the concentration is canceled after the concentration occurs. However, if the concentration is predicted in advance, it is possible to cope with the concentration before the concentration occurs.

  Here, the work plan (work procedure WF) was originally scheduled so as to avoid the concentration of workers, but the actual work progress is shifted from the plan at time t0 due to a delay in the progress of other work. Suppose that it is found by the work evaluation process PF3. In this work evaluation process PF, the actual work progress and work procedure WF are determined based on the result of detecting the positions of the shelves where the workers A to E should be at a certain time and the positions of the workers A to E actually. Judge deviation from. For example, in FIG. 8, the system management server TSNS detects the position of the worker B as the shelf 1 at time t0, and in the work procedure WF, the worker B should be on the shelf 4 of the next process at time t0. A delay in the progress of worker B is detected. The system management server TSNS compares the position of the worker at time t0 with the position where the worker should be based on the work procedure WF for other workers, and compares the progress of the work with the delay of the progress and the appropriate Judge whether it is progress or progress.

  In FIG. 8, the progress of worker C has progressed from the schedule, and workers B and D have a delay in progress.

  Assuming that the work is performed smoothly after the current time t0, the system management server TSNS can predict that a time zone in which five people are concentrated on the shelf 4 will occur. That is, the system management server TSNS calculates the positions of the workers A to E when the work has progressed according to the work procedure WF from the current time t0 at predetermined time intervals, and for each calculated time t, It is determined which shelf the workers A to E are on. As a result of this determination, the system management server TSNS predicts that all workers A to E are located on the shelf 4 at time t1. Therefore, the change of the work order is determined as in the method of minimizing the entire moving distance as described above. As a solution, the work order of the worker A, the worker D, and the worker E is changed so that the maximum concentration on the shelf 4 is three. Do not exceed 3 people on other shelves. If this change can be made before the shipping slip is issued, in the feedback process PF4, the system management server TSNS can change the work plan so that the work order is reflected in the shipping slip output. Since the slip is issued, the system management server TSNS transmits a message to the change target worker in the feedback process PF4 in the same manner as described above. The change of the work plan is reflected in the work plan database PDB and the history database LDB.

  As described above, in the work evaluation process PF3, it is possible not only to determine a problem occurring at the present time but also to predict a problem that is likely to occur in the future and reflect it in a work plan change, thereby enabling more efficient work. It becomes possible to manage work.

<Fourth Embodiment>
In the fourth embodiment, a case where a sudden work that must be urgently performed during an original work will be described with reference to FIG. The sensor network system and the system management server TSNS have the same configuration as that in the first embodiment.

  An arrival detection sensor node GSN provided with a pressure sensor is embedded in the floor of the arrival area so that the arrival of goods can be detected. The arrival detection sensor node GSN detects that the commodity has arrived at the warehouse. In addition, a tag reader and a barcode reader (not shown) are installed in the arrival area, and the tag and barcode of a product that has arrived at the tag reader or barcode reader are read and transmitted to the system management server TSNS. The system management server TSNS refers to the work plan database PDB from the received product tag or barcode, reads the work priority of the product and the allowable time until the product moves from the arrival area to the shelf, and It is determined whether or not the product is to be worked on.

Assume that the system management server TSNS detects the arrival at the sensor node GSN installed on the floor of the arrival area at time t0 in the initial analysis process PF1. Suppose that the received goods must be immediately received in the warehouse due to the problem of freshness. That is, it is assumed that the completion of warehousing is required by time t2, and that two personnel are required when the warehousing operation can be started by time t1. When working alone, it is necessary to start work before time t0. Therefore, two workers want to be summoned. Assume that the judgment logic for an emergency call is as follows. Here, for the tasks 1 and 2, the tasks with the same number are assigned to the same time zone, that is, when they are performed by a plurality of workers, the workers work simultaneously.
(1) Regarding the work to be performed during work or most recently, work with high priority should not be changed (interrupted or moved backward) as much as possible.
(2) The worker selects in order of the break, the latest break schedule or no work schedule, and the work in progress.
(3) Minimize the delay of the end time of the entire work.

  The system management server TSNS acquires the states of the workers A to E from the history database LDB, and as a result of the work content analysis process PF2, the workers A to E are all working at time t0. Recognize. In the work evaluation process PF3, when the system management server TSNS further follows the work plan of each worker in chronological order, it can be seen that a rest other than the worker B will soon take a break before the time t1. It can also be seen that the priority of work is high for work 3. Therefore, first, the operation 3 is continued without interruption from the above (1), and the worker B is excluded from the selection candidates. Next, when looking at the most recent work schedule of the remaining four people, it is work 4, 5, 6, but the priority of work 5, 6 is low, so worker A who plans work 5, 6 after a break, Decide to have the two C perform this sudden work. The work priority is a value set in advance in the work procedure WF, and the system management server TSNS makes the above determination based on the priority read from the work procedure WF. Based on the above determination, the system management server TSNS reschedules work for the workers A and C and also for other workers. Specifically, for the worker A, since the break schedule was changed and the sudden work was put in, the break is put after the sudden work. The same applies to the worker C. Although the work 5 and the work 6 need to delay the start time, the work 6 is performed by one person, so that the worker B performs the work after the work 3 is completed. Work 5 is performed by two workers A and C after the break. Furthermore, work 7 is originally scheduled by two workers A and C, but is assigned to workers B and D in order to shorten the end time.

  In the feedback process PF4, the system management server TSNS then sends a message to the notification device NTC of the sensor node MSN to call the workers A and C, “Please come to the arrival area after the current work is completed”. If there is a response of “OK” from the workers A and C, the summoning is completed.

  As described above, the system management server TSNS performs scheduling again based on the work procedure WF, so that even if an emergency work occurs, an appropriate worker call can be summed up depending on the work status and schedule of each worker. it can.

<Fifth Embodiment>
In the fifth embodiment, an example of determination when the worker M is in a situation different from the schedule will be described. The sensor network system and the system management server TSNS have the same configuration as that in the first embodiment.

  In the first to fourth embodiments, the original schedule of the worker M is to perform picking work and transfer the goods to the inspection place.

  First, it is assumed that the worker M continues to be observed as being almost stationary even though two minutes or more have elapsed from the scheduled picking work start time. It is assumed that the worker's positioning result is a break room.

  In the work content analysis process PF2, the system management server TSNS determines that a break is taking place in the break room. In the work evaluation process PF3, the picking work start time has passed in the schedule read from the work procedure WF. It is determined that the user has forgotten a break, and the work start is notified to the sensor node MSN of the worker M in the feedback process PF4. The system management server TSNS only needs to receive a “OK” response from the sensor node MSN of the worker M. If there is no response, the system management server TSNS sends a predetermined message to the management terminal ADT to call the administrator and take a break Ask the room to confirm. In the above description, the worker M is called when two minutes or more have passed since the work start time. However, the time may be appropriately set according to the work item or the like.

  Next, it is assumed that the movement / work of the worker M is not detected midway even though it is determined that the picking work is once entered in the work content analysis process PF2. When the worker M falls down on the floor, it can be detected by the system management server TSNS from the sensing data of the acceleration sensor of the sensor node MSN. Then, the system management server TSNS determines that the manager needs to go to the work site because the worker M falls down in the work evaluation process PF3, and notifies the work manager in the feedback process PF4. However, when the worker M feels bad and crouched, even if the squatting is detected, the bad state cannot be detected by the acceleration sensor of the sensor node MSN, so that an abnormality occurs in the work evaluation process. First, the system management server TSNS notifies the worker M and the work manager of a predetermined message at the same time. If there is no response immediately, the system management server TSNS prompts the manager to urgently It transmits to the management display terminal ADT. Of course, if a video camera is installed, the administrator may monitor it.

  As described above, it is possible to detect a worker's forgotten work or abnormality and notify the worker or administrator.

<Sixth Embodiment>
In the sixth embodiment, an example will be described in which a worker M and a forklift that are in a picking operation approach and notify both sides that there is a danger. The sensor network system and the system management server TSNS have the same configuration as that in the first embodiment.

  In the warehouse of the first embodiment, it is assumed that the worker M and the forklift driver are provided with a sensor node MSN attached to a person, and the forklift is attached with a sensor node GSN attached to a machine. Further, it is assumed that a map of the work site is stored in the system management server TSNS.

  It is assumed that the worker M is walking along the passage and moving. On the other hand, it is assumed that the forklift is also moving in another passage, and both are moving toward the intersection of both passages.

  In the work content determination process PF2, the system management server TSNS determines that the worker M is walking and that the movement direction of the worker M is the intersection direction of the passage from the positioning data of the positioning sensor node LSN. . On the other hand, the system management server TSNS also determines that the moving direction is the intersection direction of the passage from the positioning data of the positioning sensor node LSN for the forklift and its driver.

  In the work evaluation process PF3 of the system management server TSNS, the positions and movement directions of the worker M and the forklift are made to correspond to the map, and both are approaching the intersection of the passage and are judged to be dangerous. The operator M and the forklift driver's sensor node MSN are notified that both are approaching and decided to call attention. In the feedback process PF4, the system management server TSNS transmits a message “Forklift is approaching” to the sensor node MSN of the worker M, displays a warning on the liquid crystal panel of the sensor node MSN, and further executes a product command. Is transmitted and the buzzer of the sensor node MSN is sounded, and the buzzer is sounded at regular intervals (for example, at intervals of 1 second) until the worker responds “OK”.

  On the other hand, the system management server TSNS also sends a message “worker is approaching” to the sensor node MSN of the forklift driver, and sends a predetermined command to sound the buzzer of the sensor node MSN. The buzzer sounds at regular intervals (for example, at intervals of 1 second) until the driver responds “OK”. In the case of a forklift driver, it is necessary to reply by stopping the movement once.

  As described above, safety can be ensured by detecting and notifying danger such as the approach of the worker and the machine.

<Seventh Embodiment>
In the seventh embodiment, work management accompanied with quality control in shipping work from picking completion time to shipping inspection, transfer to a shipping area, and loading of goods into a truck will be described with reference to FIG. The sensor network system and the system management server TSNS are obtained by adding shipping areas 21 to 24 to the configuration of the first embodiment, and other configurations are the same as those of the first embodiment.

  In FIG. 10, each product is a box containing fresh foods requiring temperature management, and temperature measurement is performed at a predetermined cycle by a sensor node GSN attached to the product. As a general rule, each product must be stored at 5 ° C or lower. However, the current temperature in each part of the warehouse detected by the sensor node ESN provided in the environment is in the range of 10 ° C to 15 ° C. From the viewpoint of quality assurance The system management server TSNS determines that the allowable time in the environment at 15 ° C. is 30 minutes, and therefore the allowable time until loading into the truck is 30 minutes. When the system management server TSNS reads the restrictions on the environment of each product from the work procedure WF and the warehouse environment acquired from the sensor node ESN exceeds the limit value, the preset temperature and allowable time for each product Determine the actual allowable time from the relationship.

  In addition, a sensor node GSN provided with a pressure sensor is embedded in the floor of each shipping area of the warehouse so that the arrival of goods can be detected. Note that the type of product is identified by the system management server TSNS by reading the tag or slip attached to the product with a tag reader or bar code reader as in the fourth embodiment.

  The scheduled work schedule in the warehouse for the above products is as shown in FIG.

  (1) The total number of products to be shipped is 40, and 10 pieces are loaded on four trucks. The trucks 11 to 14 are stopped in the shipping areas 21 to 24, respectively. Further, in FIG. 10, transfers 1 to 4 indicate that the product is moved from the shipping inspection area to the shipping areas 21 to 24, and similarly, loadings 1 to 4 are 10 to trucks 11 to 14 in the shipping areas 21 to 24, respectively. A work procedure WF for loading individual commodities is shown.

(2) The scheduled work schedule preset in the work procedure WF of the work plan database PDB is as follows.
(2-1) Shipment inspection: Worker C is in charge and the estimated required time is 5 minutes.
(2-2) Product transfer: Worker A transfers 10 products to the shipping areas 21 and 23 one by one, and the estimated required time is 10 minutes in total. Also, worker B transports 10 products to shipping areas 22 and 24 one by one, and the estimated required time is 16 minutes in total (because the transport distance is slightly longer than worker A). The number of goods that can be transferred at one time is five, that is, two round trips are required for transfer to one place.
(2-3) Loading of goods into the trucks 11 to 14: The worker A carries out the loading work with the driver of the truck 11 in the shipping area 21 and the estimated required time is 4 minutes. After that, the loading operation was carried out by two people with the truck 13 driver in the shipping area 23, and the estimated required time was 4 minutes. Worker B performs the loading work with the driver of the truck 12 in the shipping area 22 for two people, and the expected time is 4 minutes, and then loads the driver with the driver of the truck 14 in the shipping area 24 for a predicted time. Journey time is 4 minutes. The time required for any loading work is inversely proportional to the number of workers, 2 minutes 40 seconds for 3 people and 2 minutes for 4 people.

  The above is the scheduled work schedule.

  An example will be described in which the shipping inspection has already been completed as scheduled (5 minutes in the figure) and a delay occurs in the transfer operation.

  Here, when a delay is detected, auxiliary workers are sequentially added after the current work, and the scheduled work end time as a result of the input is an allowable time of 30 minutes for loading on the truck. For this, a margin of 1 minute is secured and the time is within 29 minutes.

  First, detection of arrival of a product in the shipping area will be described. When the workers A to B transfer the goods from the warehouse and place the goods in the shipping areas 21 and 22, the sensor node GSN on the floor of the shipping area detects the pressure. Sensing data of the sensor node GSN is transmitted to the system management server TSNS. In the initial analysis process PF1, the system management server TSNS determines the acquired pressure data, the positions of the workers A to C, and the position of the product from the sensing data of the sensor nodes MSN and GSN and the positioning sensor node LSN.

  In the work content analysis process PF2, in the system management server TSNS, if the positions of the workers A to C and the positions of the products coincide with the shipping areas 21 and 22 set in the work procedure WF, the workers A to C It is determined that the product is placed in the shipping areas 21 and 22.

  Further, the system management server TSNS determines that the correct product has been transferred if the shipping areas 21 and 22 and the workers A and B and the product match the work plan in the work evaluation process PF3. If all commodities to be transferred to the shipping areas 21 and 22 are in the area, the transfer operation to the area is completed, and if not all items are determined to be in operation. At the same time, it compares with the scheduled work time.

  Next, at the stage when the system management server TSNS has passed 14 minutes after the start of the shipping inspection, the work of the worker A has been transferred to the shipping area 21 (transfer 1) and is being transferred to the shipping area 23 for the second time ( Transport 3). The system management server TSNS determines that the work progress is as scheduled in the work evaluation process PF3 from the preset work procedure WF, the actual workers A to C, and the movement of the product. On the other hand, at the time when 14 minutes have passed, the work of the worker B has been transferred to the shipping area 22 (transfer 2), but in the shipping area 24, the stage of starting to load products in the cart for the first transfer. Suppose that That is, it is assumed that it is the start time of the transfer 4. The system management server TSNS confirms that the position of the worker B and the position of the product to be transported to the shipping area 24 in the work content analysis process PF2 are close to the shipping inspection area and the sensing data of the positioning sensor node LSN and the sensor nodes MSN, GSN. Judging from the sensing data. Further, the system management server TSNS determines that the worker B has not yet loaded five items to the shipping area 24 in the cart by detecting acceleration.

  The system management server TSNS expects that the transfer process to the shipping area 22 takes 9 minutes in the work evaluation process PF3, and the remaining time is about 9 minutes. Even if the loading time is as scheduled, the expected end time is 31 minutes after the start of shipping inspection, and exceeds the allowable time of 30 minutes until loading on the truck. Therefore, an auxiliary worker is introduced after the next work of the transfer 4 which is the current work, and the effect of time reduction is estimated. If there is one auxiliary worker in the loading 2, it takes 2 minutes and 40 seconds from 4 minutes in the case of working by 2 people, and it can be shortened by 1 minute and 20 seconds, which is within the allowable time of 30 minutes. However, since the margin is less than 1 minute in 20 seconds, if the same auxiliary worker is loaded into the loading 4, it can be further reduced by 1 minute 20 seconds, a total of 2 minutes 40 seconds, and there can be a margin of 1 minute 40 seconds. Therefore, it is determined that it is necessary to secure one person for loading 2 and 4. In the feedback process PF4, the system management server TSNS searches for the worker E who can be called as described in the fourth embodiment, calls the worker E, sends it to the shipping area 2, and assists the worker B.

  The system management server TSNS monitors the temperature with the sensor node GSN attached to the product, monitors with the sensor node ESN of the environment provided in the warehouse, and constantly monitors whether both temperatures are within 15 ° C. or less. If one of the temperatures exceeds 15 degrees, the system management server TSNS sends a warning message to the work manager. If the temperature exceeds 15 ° C, rescheduling, etc. Also do.

  Also, regarding the temperature measurement interval, in a storage place managed at a constant temperature, the product temperature measurement interval is changed from a 5-minute interval to a 30-second interval at the start of shipping operation. -It is also possible to change parameter settings according to the environment in the feedback process.

  Furthermore, it supplements about management of work progress. The progress status of each worker's work can be managed by the administrator displaying the progress status in a batch on the management display terminal ADT or displaying the detailed progress status for each individual worker. Furthermore, the progress status of each worker can be displayed on the sensor node MSN possessed by each worker, or the progress status of each worker can be displayed collectively or individually on a display terminal installed at the work site. Do. Visualization enables each worker to accurately grasp the situation where he is placed and to improve motivation.

  As described above, it is possible to manage work progress including conditions that influence quality such as temperature. In addition, worker motivation can be improved.

  Although the embodiments have been described above, the type of sensor for detecting human movements is not limited to an acceleration sensor, such as angular velocity and pulse wave. The state of the article or the environment is not limited to the type such as humidity and illuminance in addition to acceleration and temperature.

  As described above, the present invention relates to the work management of workers, and is particularly suitable for use in a work management system using a sensor network.

The block diagram which shows the 1st Embodiment of this invention and shows the structure of a work management system. The block diagram of the sensor node which shows the 1st Embodiment of this invention. Explanatory drawing which shows the 1st Embodiment of this invention and shows the processing flow of work management. The graph which shows the 1st Embodiment of this invention, shows the acceleration data measured with the sensor node of the worker M, the upper stage shows the relationship between the acceleration in the vertical direction and the time, and the lower stage shows the relationship between the longitudinal acceleration and the time. It is. It is a graph which shows the 1st Embodiment of this invention, shows the acceleration data measured with the sensor node of the worker M, and shows the relationship between a vertical acceleration and a longitudinal acceleration, and time. It is a graph which shows the 1st Embodiment of this invention and shows the relationship between the temperature measured with the sensor node of goods, and time. It is a graph which shows the 1st Embodiment of this invention and shows the relationship between the acceleration measured with the sensor node of goods, and time. Explanatory drawing of the work content evaluation process which shows the 1st Embodiment of this invention and is performed by system management server TSNS. Explanatory drawing of the indication process of the error of the work content which shows the 1st Embodiment of this invention and is performed in system management server TSNS. Explanatory drawing of the detection of worker concentration which shows the 3rd Embodiment of this invention. Explanatory drawing which shows the 3rd Embodiment of this invention and shows the other example of a worker concentration detection. Explanatory drawing of the process which shows the 4th Embodiment of this invention and performs selection / convocation of the worker at the time of sudden work generation | occurrence | production. Explanatory drawing of work progress management and quality management which shows the 7th Embodiment of this invention. Explanatory drawing of the work procedure table group which shows the 1st Embodiment of this invention and is produced in the system management server TSNS. Explanatory drawing of the work / equipment / commodity table group which shows the 1st Embodiment of this invention and is produced in the system management server TSNS. Explanatory drawing of the position / state table of the worker M in the position / operation / state table group created by the system management server TSNS according to the first embodiment of this invention. Explanatory drawing of the position / state table of goods G1 in the position / operation / state table group created by the system management server TSNS according to the first embodiment of the present invention. Explanatory drawing of the position / state table of goods G2 in the position / operation / state table group created by the system management server TSNS according to the first embodiment of this invention. Explanatory drawing of the position / state table of goods G3 in the position / operation / state table group created by the system management server TSNS according to the first embodiment of this invention. Explanatory drawing of the position / state table of goods G4 in the position / operation / state table group created by the system management server TSNS according to the first embodiment of the present invention. Explanatory drawing of the position / state table of goods G5 which shows the 1st Embodiment of this invention and is the position / operation | movement / state table group produced in the system management server TSNS. Explanatory drawing of an apparatus state table among the position / operation | movement state tables group which shows the 1st Embodiment of this invention and is produced in the system management server TSNS. Explanatory drawing of the environmental state table which shows the 1st Embodiment of this invention and is produced in the system management server TSNS.

Explanation of symbols

TSNS: System management server SN: Sensor node BST: Base station NWK: Network ADT: Management display terminal PDB: Work plan database LDB: History database WF: Work procedure

Claims (10)

A first sensor node that is attached to a person and detects movement information of the wearer; a second sensor node that is attached to an article and detects state information of the article; and the first or second sensor node A third sensor node that acquires the position information of the device, and a management computer that collects the operation information, the state information, and the position information detected by the first sensor node, the second sensor node, and the third sensor node And a work management system in which the management computer manages the behavior of the wearer,
The management computer is
A first analysis processing unit that analyzes the operation result of the wearer based on the operation information detected by the first sensor node and the position information of the first sensor node detected by the third sensor node;
A second analysis processing unit that analyzes the state of the article based on the state information detected by the second sensor node and the position information of the second sensor node detected by the third sensor node;
Work for identifying the work content performed by the wearer on the article based on the operation result of the wearer analyzed by the first analysis processing unit and the state of the article analyzed by the second analysis processing unit A content analysis unit;
A work evaluation unit configured to compare a predetermined work plan, the specified work content, and the state of the article to generate an evaluation result of the work content of the wearer is provided. Work management system. In claim 1,
A fourth sensor node that acquires state information of an environment in which the article exists;
The work evaluation unit
The work plan set in advance, the specified work content, the state of the article, and the state information of the environment acquired by the fourth sensor node are compared, and the evaluation result of the work content of the wearer is obtained. A work management system characterized by generating. In claim 1,
The management computer has a history storage unit that stores a history of work content specified by the work content analysis unit,
The work evaluation unit is configured to generate an evaluation result of the work content of the wearer with reference to the history storage unit. In claim 1,
The work evaluation unit generates an evaluation result related to the quality of an article based on the work content. In claim 1,
The said management computer notifies the said 1st sensor node of the evaluation result of the work content which the said work evaluation part produced | generated, The work management system characterized by the above-mentioned. In claim 1,
A management terminal connected to the management computer and displaying a notification from the management computer;
The said management computer notifies the said management terminal of the evaluation result of the work content which the said work evaluation part produced | generated, The work management system characterized by the above-mentioned. In claim 1,
The work evaluation system is configured to notify work contents set in the work plan to the first sensor node when the evaluation result is different from the work plan. In claim 1,
The work evaluation unit includes a work plan correction unit that corrects the work plan when the evaluation result is different from the work plan, and the work plan correction unit applies the correction to the first sensor node. A work management system for notifying the work content set in the work plan. A first sensor node that is attached to a person and detects movement information of the wearer; a second sensor node that is attached to an article and detects state information of the article; and the first or second sensor node A third sensor node that obtains position information of the device, and the mounting based on the operation information, the state information, and the position information detected by the first sensor node, the second sensor node, and the third sensor node. Management method for managing the behavior of a person,
Processing for analyzing the operation result of the wearer based on the operation information detected by the first sensor node and the position information of the first sensor node detected by the third sensor node;
Processing for analyzing the state of the article based on the state information detected by the second sensor node and the position information of the second sensor node detected by the third sensor node;
A process of identifying the work content performed by the wearer on the article based on the operation result of the wearer analyzed by the first analysis processing unit and the state of the article analyzed by the second analysis processing unit. When,
A work management method comprising: a work plan set in advance, the specified work content, and a process of generating an evaluation result of the work content of the wearer by comparing the state of the article. A first sensor node that is attached to a person and detects movement information of the wearer; a second sensor node that is attached to an article and detects state information of the article; and the first or second sensor node A third sensor node that acquires position information of the first, a first sensor node, a second sensor node, and a third sensor node that collect the operation information, the state information, and the position information detected by the third sensor node; A management computer for managing the behavior of the wearer,
The management computer is
A first analysis processing unit that analyzes the operation result of the wearer based on the operation information detected by the first sensor node and the position information of the first sensor node detected by the third sensor node;
A second analysis processing unit that analyzes the state of the article based on the state information detected by the second sensor node and the position information of the second sensor node detected by the third sensor node;
Work for identifying the work content performed by the wearer on the article based on the operation result of the wearer analyzed by the first analysis processing unit and the state of the article analyzed by the second analysis processing unit A content analysis unit;
A work evaluation unit configured to compare a predetermined work plan, the specified work content, and the state of the article to generate an evaluation result of the work content of the wearer is provided. Management computer.