JP2011085990A - Program, device, and method for managing work - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve convenience and to reduce cost of work management. <P>SOLUTION: The work management device 102 extracts by an obtaining part 801, a waist acceleration and an arm acceleration at each predetermined time detected by an acceleration sensor 306 in a sensor unit 101 from a sensor information DB 500; calculates by a calculation part 802, amplitudes from a maximum value and a minimum value of the accelerations to use them as feature quantities Cwa and Cwb; specifies by a determination part 803, a work form satisfying all of the calculated respective feature quantities Cxy by using a determination table 600; and generates a work history DB 842 to output a work history by an output part 804. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a work management program, a work management apparatus, and a work management method for managing work performed by an operator.

  Conventionally, in agriculture and civil engineering work, it is troublesome to manually record the use history of a work machine that is operated by an operator. Thus, a technique is disclosed in which a GPS (Global Positioning System) is attached to a worker or a work machine, and which worker uses which work machine when and where (see, for example, Patent Document 1 below). ).

  Specifically, a worker attaches a wearable computer having a sensor such as GPS, geomagnetism, acceleration, temperature, humidity, RFID (Radio Frequency IDentification) and an input device such as a camera and a microphone to the worker and the work machine. Thereby, the work history of the worker and the work machine can be recorded (hereinafter referred to as “Prior Art 1”). In this case, when the worker returns to the office, data can be taken up and charged from a wearable computer attached to the worker by short-range wireless communication such as wired or wireless LAN (Local Area Network).

JP 2005-85190 A

  However, in the above-described prior art, work machines are often stored on site or in a material storage area, and therefore it is complicated to suck up or charge data from a wearable computer attached to the work machine by wire or short-range wireless. There was a problem.

  In addition, although it is possible to grasp the position of the worker using a GPS mobile phone that is always carried by the worker, it is difficult to attach the mobile phone to the work machine because of waterproofness and charging. Therefore, it is necessary to separately develop a sensor unit incorporating a dedicated communication module and attach it to the work machine, which causes a problem that costs such as development costs and communication costs increase.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a work management program, a work management apparatus, and a work management method capable of improving the convenience and cost reduction of work management in order to eliminate the above-described problems caused by the prior art. To do.

  In order to solve the above-described problems and achieve the object, the work management program, the work management apparatus, and the work management method are provided by an operator who uses a work machine from a terminal that detects a dynamic characteristic transmitted to a terminal body. Evaluation items for acquiring information on dynamic characteristics transmitted from the worker and work machine during the period of carrying the terminal and evaluating the behavior of the worker during the period based on the acquired information Each time, a feature value for evaluating a dynamic characteristic according to the behavior of the worker is calculated, and based on the calculated result, the worker's work mode is specified, and information on the specified work mode is output. It is a requirement to do.

  According to the work management program, the work management apparatus, and the work management method, it is possible to improve the convenience and cost reduction of work management.

It is explanatory drawing which shows the application example in this Embodiment. It is explanatory drawing which shows an example of farm work. It is a block diagram which shows the hardware constitutions of a sensor unit. It is a block diagram which shows the hardware constitutions of the work management apparatus concerning embodiment. It is explanatory drawing which shows an example of the memory content of sensor information DB. It is explanatory drawing which shows an example of the memory content of a determination table. It is explanatory drawing which shows an example of the memory content of map information DB. It is a block diagram which shows the functional structure of a work management apparatus. It is explanatory drawing which shows an example of the memory content of work log | history DB. It is explanatory drawing which shows an example of the display content by a display part. It is a flowchart (the 1) which shows the work management processing procedure by a work management apparatus. It is a flowchart (the 2) which shows the work management processing procedure by a work management apparatus. 12 is a flowchart (part 1) illustrating a detailed processing procedure of the feature amount calculation process (step S1105) illustrated in FIG. 12 is a flowchart (part 2) illustrating a detailed processing procedure of the feature amount calculation process (step S1105) illustrated in FIG.

  Exemplary embodiments of a work management program, a work management apparatus, and a work management method will be described below in detail with reference to the accompanying drawings. This work management program, work management apparatus, and work management method can be applied to work using at least a work machine such as farm work or civil engineering work. For example, in the case of farm work, the history of use of work machines such as cultivators and tractors for each field is managed and used for cost calculation of crops or reflected in the dispatch plan from the work machine operating rate. Thereby, it is possible to grasp a work history indicating which work machine is used by whom and when.

  In addition, farm work includes farm work for producing crops such as vegetables and fruits and farm work for producing grains (rice, beans, wheat, etc.). In the case of agricultural work for producing crops such as vegetables and fruits, work machines such as cultivators and tractors that plow the field are used. In the case of grains, working machines such as tillers, rice transplanters, threshers, reapers, harvesters, and combiners are used. In civil engineering work such as construction, creation, and paving, working machines such as cranes, bulldozers, tractors, forklifts, and excavators are used. In the present embodiment, an example of farm work for producing crops such as vegetables and fruits will be described, but the present invention can also be applied to farm work and civil engineering work for producing grains.

  FIG. 1 is an explanatory diagram showing an application example in the present embodiment. In FIG. 1, the worker: The former boarded the tractor T <b> 1 on the farm F <b> 1 and is doing farm work. Worker: The sensor unit 101a is attached to the waist of the former, and worker: The sensor unit 101b is attached to the arm of the former. The sensor unit 101 (101a, 101b) detects acceleration transmitted to the sensor unit main body, sound from outside the sensor unit, and inclination of the sensor unit. The detected data is referred to as sensor information. The sensor unit 101 may be only the sensor unit 101a or only the sensor unit 101b.

  In addition, the work management system 100 includes a work management apparatus 102 and can communicate with the network apparatus 103 via a wireless LAN as necessary. The network device 103 is provided in the farm F1 or the operator: the former office, and receives the sensor information detected by the sensor unit 101 from the sensor unit 101 by wireless communication. The received sensor information is sent to the work management apparatus 102 via the wireless LAN.

  Further, the sensor unit 101 may be directly connected to the work management apparatus 102 by wire to transmit sensor information from the sensor unit 101 to the work management apparatus 102. The work management apparatus 102 may receive the sensor information from the sensor unit 101 in real time and execute the work management process in real time. Alternatively, the work management apparatus 102 may execute the work management process in a batch process after acquiring the sensor information. Good.

(An example of farm work)
FIG. 2 is an explanatory diagram illustrating an example of farm work. FIG. 2 shows the actions of the workers in the time series of (A) to (F): A and B on August 27, 2009. In (A), Party A and Party B take different actions. In (B), the former boarded the tractor T1 from the material storage area and moved toward the farm F1. In (C), the former uses the tractor T1 to perform the tilling work on the farm F1.

  In (D), A and B are on Farm F1, but A is descending from Tractor T1. In (E), B is plowing on farm F1 using tractor T1. In (F), B is driving the tractor T1 and moving to the material storage.

(Hardware configuration)
FIG. 3 is a block diagram illustrating a hardware configuration of the sensor unit 101. The sensor unit 101 includes a CPU (Central Processing Unit) 301, a memory 302, an input device 303, a display 304, a GPS 305, an acceleration sensor 306, a microphone 307, a communication I / F (Interface) 308, and an input / output I / F 309. They are connected via a bus 310.

  Here, the CPU 301 governs overall control of the sensor unit 101. The memory 302 stores various data and programs, and is used as a work area for the CPU 301. The input device 303 is an input device operated by an operator, and includes a numeric keypad, a push button, a dial, a touch panel, a cross key, and the like. The display 304 is a device that displays various data, and includes a liquid crystal or the like. The GPS 305 is a device that specifies where the worker (the sensor unit 101 carried by the worker) is on the earth using an artificial satellite, and acquires current position information.

  The acceleration sensor 306 detects the acceleration applied to the sensor unit 101 main body. By the acceleration detected by the acceleration sensor 306, the tilt, behavior, and vibration of the sensor unit 101 main body can be detected. The microphone 307 detects sound data from outside the sensor unit 101. The communication I / F 308 is a device that performs wireless communication with the network apparatus 103 and the work management apparatus 102. The input / output I / F 309 is a device that is wired to the work management apparatus 102 and transmits sensor information to the work management apparatus 102.

(Hardware configuration of work management apparatus 102)
FIG. 4 is a block diagram of a hardware configuration of the work management apparatus 102 according to the embodiment. In FIG. 4, the work management apparatus 102 includes a CPU (Central Processing Unit) 401, a ROM (Read-Only Memory) 402, a RAM (Random Access Memory) 403, a magnetic disk drive 404, a magnetic disk 405, and an optical disk. A drive 406, an optical disk 407, a display 408, an I / F 409, a keyboard 410, a mouse 411, a scanner 412, and a printer 413 are provided. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the work management apparatus 102. The ROM 402 stores programs such as a boot program. The RAM 403 is used as a work area for the CPU 401. The magnetic disk drive 404 controls the reading / writing of the data with respect to the magnetic disk 405 according to control of CPU401. The magnetic disk 405 stores data written under the control of the magnetic disk drive 404.

  The optical disk drive 406 controls reading / writing of data with respect to the optical disk 407 according to the control of the CPU 401. The optical disk 407 stores data written under the control of the optical disk drive 406, or causes the computer to read data stored on the optical disk 407.

  The display 408 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. As the display 408, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be adopted.

  An interface (hereinafter abbreviated as “I / F”) 409 is connected to a network 104 such as a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet through a communication line. Connected to other devices. The I / F 409 controls an internal interface with the network 104 and controls data input / output from an external device. For example, a modem or a LAN adapter may be employed as the I / F 409.

  The keyboard 410 includes keys for inputting characters, numbers, various instructions, and the like, and inputs data. Moreover, a touch panel type input pad or a numeric keypad may be used. The mouse 411 moves the cursor, selects a range, moves the window, changes the size, and the like. A trackball or a joystick may be used as long as they have the same function as a pointing device.

  The scanner 412 optically reads an image and takes in the image data into the work management apparatus 102. The scanner 412 may have an OCR (Optical Character Reader) function. The printer 413 prints image data and document data. As the printer 413, for example, a laser printer or an ink jet printer can be adopted.

(Database contents)
Next, the contents stored in various databases (DB) will be described with reference to FIGS. Specifically, the functions of each database are realized by storage devices such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  FIG. 5 is an explanatory diagram showing an example of the contents stored in the sensor information DB. The sensor information DB 500 stores a worker ID and sensor information for each worker. The worker ID is identification information that identifies the worker. The sensor information Gi is information obtained from a sensor unit carried by the worker. The sensor information Gi stores hip acceleration, sound data, arm acceleration, and position information for each time. For example, the waist acceleration is an acceleration obtained from the sensor unit 101a, and the arm acceleration is an acceleration obtained from the sensor unit 101b. The sound data and the position information are information obtained from the sensor unit 101a or the sensor unit 101b.

  FIG. 6 is an explanatory diagram of an example of the contents stored in the determination table. The determination table 600 is a table for specifying the work mode of the worker. The determination table 600 is a table that specifies the work form of the worker depending on which work form the feature value corresponds to for each evaluation item.

  The evaluation item is an item for evaluating the behavior of the worker, and is expressed by a feature amount obtained from the sensor information Gi. The feature amount is expressed as Cxy (x = w, s, a, y = a to e). The feature amount Cxy of x = w indicates a feature amount related to acceleration (waist acceleration) detected from the sensor unit 101a. Further, the feature amount Cxy of x = s indicates a feature amount related to sound data detected from the sensor unit 101. Further, the feature amount Cxy of x = a indicates a feature amount related to acceleration (arm acceleration) detected from the sensor unit 101b.

  The feature amount Cxy where y = a indicates the feature amount related to the detected acceleration or the amplitude of the sound data. Further, the feature value Cxy of y = b indicates a feature value related to the average of the vertical components of the detected acceleration. The feature amount Cxy of y = c to e indicates a feature amount related to each frequency component of the detected acceleration or sound data.

  Further, in order to evaluate the feature amount Cxy in three stages (“large”, “medium”, and “small” in FIG. 6) for each evaluation item, two threshold values Cxy1, Cxy2 (Cxy1 <Cxy2) are evaluation items. It is set for each. In each evaluation item, when the feature amount Cxy is Cxy <Cxy1, this indicates that the feature amount is relatively small (corresponding to “small”). Further, when the feature amount Cxy is Cxy1 ≦ Cxy <Cxy2, it indicates that the feature amount is relatively medium (corresponding to “medium”). Further, when the feature amount Cxy is Cxy ≧ Cxy2, it indicates that it is relatively large (corresponding to “large”).

  Further, the work forms are classified into “being bent”, “walking”, “using the tiller K”, “using the small tractor T1”, and “using the large tractor T2”. The work form is specified by the three-stage evaluation (“large”, “medium”, and “small” in FIG. 7) of the evaluation items based on the five kinds of work forms and the feature amount Cxy.

  Here, when the work forms are distinguished by the presence or absence of the movement of the worker, the work forms are distinguished from “being bent work” and other work forms. Further, when the worker is distinguished by the presence or absence of walking, it is classified into “walking” and “use of the cultivator K” and the others. Further, when the work machine is used, it is classified into “being bent” and “walking”, “using the tiller K”, “using the small tractor T1”, and “using the large tractor T2”. Further, when the tractor is used or not, it is distinguished from “use of small tractor T1” and “use of large tractor T2” and others. Such distinction can be made by three-level evaluation of “large”, “medium”, and “small” based on the feature amount Cxy.

  Here, the feature amount Cxy as an evaluation item will be specifically described.

  The feature amount Cwa represents the amplitude of the waist acceleration detected from the sensor unit 101a. When the worker is walking or using the cultivator K, the amplitude of the waist acceleration increases. On the other hand, when the pedestrian is stopped, the amplitude of the hip acceleration is reduced. Further, when the tractors T1 and T2 are operated, a medium amplitude is obtained by the movement of the tractors T1 and T2.

  The feature amount Cwb represents the inclination of the sensor unit 101a, that is, the posture of the operator's torso, based on the average magnitude of the vertical components of the hip acceleration detected from the sensor unit 101a. While walking or using the cultivator K, the characteristic amount Cwb is large because the trunk is standing, but the characteristic body Cwb is medium because the trunk is inclined to sit while riding the tractors T1 and T2. Further, if the body is bent as in a bending operation, the body is further inclined, so that the characteristic amount Cwb is reduced.

  The feature amount Cwc is a power spectrum of a 2 [Hz] component of hip acceleration detected from the sensor unit 101a. The feature amount Cwc increases when the worker is walking. Therefore, when the feature amount Cwc is large, it corresponds to “while walking” or “use of the tiller K”.

  The feature amount Cwd is a power spectrum of a 20 [Hz] component of hip acceleration detected from the sensor unit 101a. The hip acceleration of 20 [Hz] component is a frequency component specific to the large tractor T2 generated from the tractor body of the large tractor T2. Therefore, a large feature amount Cwd corresponds to “use of large tractor T2”.

  The feature amount Cwe is a power spectrum of a 25 [Hz] component of hip acceleration detected from the sensor unit 101a. The waist acceleration of 25 [Hz] component is a frequency component specific to the small tractor T1 generated from the tractor body of the small tractor T1. Therefore, a large feature amount Cwe corresponds to “use of a small tractor T1”.

  The feature value Csa represents the magnitude of the amplitude of the sound data detected from the sensor unit 101. During use of the work machine (cultivator K, tractors T1, T2), the amplitude of the sound data is increased, and thus the feature value Csa is increased.

  The feature amount Csc is a power spectrum of the 30 [Hz] component of the sound data detected from the sensor unit 101. The sound data of the 30 [Hz] component is a frequency component depending on the rotation of the engine of the large tractor T2. Therefore, a large feature amount Csc corresponds to “use of large tractor T2”.

  The feature amount Csd is a power spectrum of a 35 [Hz] component of the sound data detected from the sensor unit 101. The sound data of the 35 [Hz] component is a frequency component depending on the rotation of the engine of the small tractor T1. Therefore, a large feature amount Csd corresponds to “use of a small tractor T1”.

  The feature amount Cse is a power spectrum of a 75 [Hz] component of sound data detected from the sensor unit 101. The sound data of the 75 [Hz] component is a frequency component depending on the rotation of the engine of the cultivator K. Therefore, if the characteristic amount Cse is large, it corresponds to “use of the tiller K”.

  Note that these feature amounts Csc, Csd, and Cse are power spectra of frequency components of sounds generated when the work machine is idling.

  The feature amount Caa represents the magnitude of the amplitude of the arm acceleration detected from the sensor unit 101b. When the worker bends and is walking, the arm swings and the feature amount Caa increases. In addition, since the vibration from the cultivator K is transmitted to the arm even when the cultivator K is in use, the characteristic amount Caa has a medium size.

  The feature amount Cab represents the inclination of the sensor unit 101b, that is, the posture of the operator's arm based on the average magnitude of the vertical components of the arm acceleration detected from the sensor unit 101b. The feature amount Cab changes depending on the posture of the arm, and the feature amount Cab is close to 0 when the large tractor T2 is leveled, and the feature amount Cab increases as it approaches the vertical.

  The feature amount Cac is a power spectrum of the 20 [Hz] component of the arm acceleration detected from the sensor unit 101b. The arm acceleration of 20 [Hz] component is a frequency component specific to the large tractor T2 generated from the tractor body of the large tractor T2. Therefore, a large feature amount Cac corresponds to “use of large tractor T2”.

  The feature amount Cad is a power spectrum of a 25 [Hz] component of the arm acceleration detected from the sensor unit 101b. The arm acceleration of 25 [Hz] component is a unique frequency component generated from the tractor body of the small tractor T1 or the tiller K. Therefore, when the feature amount Cad is large, it corresponds to “use of the tiller K” and “use of the small tractor T1”.

  As described above, since the meaning indicated by the feature amount Cxy is different for each evaluation item, it is possible to specify the work mode by combining the evaluation items. For example, the feature amounts Cwa and Cwb cannot be distinguished from “walking” or “using the tiller K”, but can be distinguished by combining the feature amounts Csa and Cad. Similarly, the feature amounts Cwa and Cwb cannot be distinguished from “use of the small tractor T1” or “use of the large tractor T2”, but can be distinguished by combining the feature amounts Cwd and Cwe.

  FIG. 7 is an explanatory diagram showing an example of the contents stored in the map information DB. The map information DB 700 stores the target farm (its identification code) for each block. A block is an arbitrary area, and when it is a rectangular area, it is specified by vertex coordinates. In FIG. 7, for example, the blocks B1 to B4 are blocks in the farm F1.

(Functional configuration of work management apparatus 102)
FIG. 8 is a block diagram showing a functional configuration of the work management apparatus 102. The work management apparatus 102 includes an acquisition unit 801, a calculation unit 802, a specification unit 803, and an output unit 804. Specifically, the acquisition unit 801 to the output unit 804 cause the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 illustrated in FIG. The function is realized by the I / F 409.

  The acquisition unit 801 obtains information on the dynamic characteristics transmitted from the worker and the work machine while the worker using the work machine is carrying the terminal from the terminal that detects the dynamic characteristics transmitted to the terminal body. Has a function to acquire. Specifically, for example, the hip acceleration and arm acceleration for each predetermined time detected from the acceleration sensor 306 in the sensor unit 101 are extracted from the sensor information DB 500.

  Further, when the terminal detects a sound outside the terminal main body, the acquisition unit 801 acquires information regarding the sound during the period in which the worker is carrying the terminal from the terminal. Specifically, for example, sound data for every predetermined time obtained from the microphone 307 in the sensor unit 101 is extracted from the sensor information DB 500.

  In addition, when the terminal detects the position of the terminal body, the acquisition unit 801 has a function of acquiring information regarding the position during the period in which the worker is carrying the terminal from the terminal. Specifically, for example, position information for each predetermined time obtained from the GPS 305 in the sensor unit 101 is extracted from the sensor information DB 500.

  The calculation unit 802 has a function of calculating a feature value for evaluating a dynamic characteristic according to the worker's behavior for each evaluation item for evaluating the worker's behavior during the period based on the information acquired by the acquisition unit 801. Have Specifically, for example, with regard to waist acceleration and arm acceleration, the amplitudes are calculated from the maximum value and the minimum value to obtain the feature amounts Cwa and Caa. Further, the feature values Cwb and Cab are obtained by calculating the average value of the vertical components. Also, feature quantities Cwc, Cwd, Cwe, Cac, and Cad that are 2 [Hz] components, 20 [Hz] components, and 25 [Hz] components are calculated by fast Fourier transform.

  In addition, the calculation unit 802 has a function of calculating a feature amount based on information regarding the sound acquired by the acquisition unit 801. Specifically, for example, for sound data, the amplitude is calculated from the maximum value and the minimum value, and the characteristic value Csa is obtained. Also, feature quantities Csc, Csd, and Cse that are 30 [Hz], 35 [Hz], and 75 [Hz] components are calculated by fast Fourier transform.

  The specifying unit 803 has a function of specifying the work mode of the worker based on the calculation result calculated by the calculating unit 802. Specifically, using the determination table 600 shown in FIG. 6, a work mode that satisfies all the calculated feature values Cxy is specified. Even if one of the plurality of evaluation items does not correspond, if all of the remaining items are applicable, the work mode may be specified as in the case where all of the evaluation items are satisfied.

  The specifying unit 803 has a function of specifying the position of the worker. Specifically, for example, a block including position information obtained by the acquisition unit 801 is specified, and a farm corresponding to the specified block is extracted from the map information DB 700.

  The output unit 804 has a function of outputting information regarding the work mode specified by the specifying unit 803. Specifically, the output unit 804 includes a creation unit 841, a work history DB 842, and a display unit 843. The creation unit 841 creates the work history DB 842 based on the information obtained from the specifying unit 803.

  FIG. 9 is an explanatory diagram showing an example of the contents stored in the work history DB 842. In FIG. 9, worker ID: 0001 indicates worker: former A, and worker ID: 0002 indicates worker: second. The stored contents of the work history DB 842 in FIG. 9 are data obtained by converting the work history of the farm work shown in FIG.

  Returning to FIG. 8, the display unit 843 has a function of displaying the work history on the display screen with reference to the work history DB 842. The display contents may be extracted for each worker from the work history DB 842 shown in FIG. 9 and displayed for each worker, or may be displayed by processing the work history DB 842 for each work machine. In addition to display on the display screen, print output by a printer may be used.

  FIG. 10 is an explanatory diagram illustrating an example of the display content on the display unit 843. In FIG. 10, a work history 1000 for each work machine is displayed.

(Work management processing procedure)
11 and 12 are flowcharts showing a work management processing procedure by the work management apparatus 102. First, in FIG. 11, the work management apparatus 102 determines whether there is an unselected worker ID (step S1101). If there is an unselected worker ID (step S1101: Yes), the unselected worker ID is not selected. An operator ID is selected (step S1102).

  Then, the work management apparatus 102 sets the section ID: j of the section representing the unit time to j = 1 (step S1103), and the time width Tj (for example, 10 seconds) of the jth section from the sensor information Gi of the selected worker ID. Minute sensor information Gi is acquired by the acquisition unit 801 (step S1104). For example, in FIG. 5, when the sensor information Gi is acquired in units of 1 second, the sensor information Gi for 10 seconds is acquired.

  Next, the work management apparatus 102 uses the calculation unit 802 to execute a feature amount calculation process (step S1105). The feature amount calculation process will be described later with reference to FIGS. 13 and 14. Thereafter, the work management apparatus 102 refers to the map information DB 700 to identify the whereabouts (in which farm) at the current position by the identifying unit 803 (step S1106), and refers to the determination table 600. A work form candidate is specified (step S1107). In step S <b> 1107, the work management apparatus 102 specifies a work form candidate using the feature amount obtained from the acceleration sensor 306.

  Next, the work management apparatus 102 determines whether or not the identified work form candidate is a work form that uses the work machine, by using the identifying unit 803 (step S1108). Specifically, for example, the work management apparatus 102 determines whether the work form is “use of a cultivator K”, “use of a small tractor T1”, “use of a large tractor T2”, or otherwise, depending on a feature amount of acceleration. Is determined (step S1108). If it is a work form that uses the work machine (step S1108: Yes), the process proceeds to step S1201 in FIG.

  On the other hand, when the work mode does not use the work machine (step S1108: No), the work management apparatus 102 resets the machine use start time Ts and the accumulated time TA1 (step S1109). Then, the work management apparatus 102 specifies a work form based on the work form candidates and the position information (step S1110). For example, when the worker's place is a farm and the work machine is moving, it is determined that the worker is farming (for example, tillage). On the other hand, when the worker's place is not a farm and the working machine is moving, it is determined that the worker is moving between the material storage and the farm. Further, when the worker's place is on the farm and no working machine is used, it is specified that the worker is bending or walking on the farm.

  Thereafter, the work management apparatus 102 increments j (step S1111), and determines whether or not there is sensor information Gi for the time width Tj of the j-th section, which is the next section (step S1112). When there is sensor information Gi (step S1112: Yes), the process returns to step S1104. When there is no sensor information Gi (step S1112: No), the work management apparatus 102 creates a work history table by the creation unit 841 ( Step S1113) and return to Step S1101.

  In step S1101, if there is no unselected worker ID (step S1101: No), the work management apparatus 102 performs output processing and displays a work history (step S1114). As a result, the series of processes is completed.

  If it is determined in step S1108 that the work form candidate uses the work machine (step S1108: Yes), in FIG. 12, the work management apparatus 102 identifies the work form candidate that uses the work machine for the first time. It is determined whether or not it is a work mode candidate at (step S1201).

  Specifically, when the work form candidate that uses the work machine is the first work form candidate, it is determined that the work machine is idling. When idling, it can be seen that the worker begins to use the work machine. Note that idling is specified because jumping onto the tractors T1 and T2 or changing the operator pushing the cultivator K during the movement of the work machine is impossible as common-sense farm work. is there.

  Therefore, when it is the first specification (step S1201: Yes), the work management apparatus 102 registers the time of the j-th section in the sensor information Gi as a machine use start time Ts in a work table (not shown) (step S1202). ), The process proceeds to step S1203. For example, in FIG. 5, when it is determined as the first specification in the j-th section including the times t1 to t3 of the sensor information Gi, the time t1 is registered as the machine use start time Ts. On the other hand, if it is not the first specification (step S1201: No), since the machine use start time Ts has already been registered, the process proceeds to step S1203.

  In step S1203, the work management apparatus 102 registers the position information of the jth section in the work table (step S1203). Specifically, in FIG. 5, when the times t1 to t3 are the jth section, the position information P1 to P3 is registered in the work table.

  Then, the work management apparatus 102 updates the accumulated time TA1 by adding the time width Tj to the accumulated time TA1 (step S1204). Thereafter, the work management apparatus 102 determines whether or not the accumulated time TA1 is TA1 ≧ TA2 (step S1205). TA2 is a threshold and is set to 10 minutes, for example. In other words, in step S1205, the work management apparatus 102 determines whether or not the work machine is continuously used for the time width TA2 or more (whether the same work form using the work machine has been continuously specified).

  If TA1 ≧ TA2 is not satisfied (step S1205: NO), the process proceeds to step S1110. On the other hand, when TA1 ≧ TA2 (step S1205: Yes), the work machine is continuously used for the time width TA2 or more. Next, the work management apparatus 102 moves the worker during the continuous time TA2. It is determined whether or not it has been done (step S1206). In this determination, it is determined whether or not the trajectory of the position information of the worker during the continuous time TA2 remains at approximately one point (the width may be such that the worker does not move) or has changed.

  If it remains at approximately one point (step S1206: No), it means that the worker is not moving with the work machine, and that it is considered that the worker is not substantially working. In this case, the process proceeds to step S1110.

  On the other hand, if it is determined that the worker has moved during the continuous time TA2 (step S1206: Yes), the worker is not simply passing by the work machine, but the worker is idling the work machine. It will be. In this case, the work management apparatus 102 specifies the work machine type of the work machine that is idling based on the sound data feature amounts Csc to Cse (step S1207).

  Specifically, since the work machine is in an idling state at the start of use of the work machine, the work form can be specified by the acceleration and sound data feature values unique to idling. The reason for using acceleration and sound data in idling is that during tillage, the engine load changes depending on whether the soil is hard or soft, and the acceleration and sound frequency components may change. This is because the accuracy of specifying the work mode is improved because there is little change in frequency components.

(Feature amount calculation processing procedure)
13 and 14 are flowcharts showing the detailed processing procedure of the feature amount calculation processing (step S1105) shown in FIG. First, in FIG. 13, the work management apparatus 102 calculates a feature amount Cwa from the maximum and minimum values of hip acceleration within the time width Tj (step S1301). Next, the work management apparatus 102 calculates the feature amount Cwb from the average of the vertical components of the hip acceleration within the time width Tj (step S1302). Then, the hip acceleration within the time width Tj is subjected to fast Fourier transform (step S1303), and feature amounts Cwc to Cwe are calculated based on the result of the fast Fourier transform (steps S1304 to S1306). Then, the feature amounts Cwc to Cwe are stored in the work table (step S1307).

  In FIG. 14, the work management apparatus 102 calculates a feature amount Csa from the maximum value and the minimum value of the sound data within the time width Tj (step S1400). Next, the work management apparatus 102 performs fast Fourier transform on the sound data within the time width Tj (step S1401), and calculates feature amounts Csc, Csd, and Cse based on the result of the fast Fourier transform (steps S1402 to S1404). Then, the work management apparatus 102 stores the feature amounts Csc, Csd, and Cse in the work table (step S1405).

  In addition, the work management apparatus 102 calculates the feature amount Caa from the maximum value and the minimum value of the arm acceleration within the time width Tj (step S1406). Next, the work management apparatus 102 calculates the feature amount Cab from the average of the vertical components of the arm acceleration within the time width Tj (step S1407). Then, the work management apparatus 102 performs fast Fourier transform on the arm acceleration within the time width Tj (step S1408), and calculates feature amounts Cac and Cad based on the result of the fast Fourier transform (steps S1409 and S1410). Then, the work management apparatus 102 stores the feature values Cac and Cad in the work table (step S1411), and proceeds to step S1106.

  As described above, according to the above-described embodiment, the sensor unit 101 is attached only to the worker, not to the work machine, but by using the behavior of the worker and the dynamic characteristics transmitted through the work machine, The complexity of work management when attached to the machine can be prevented. Moreover, since it is not necessary to attach a sensor unit to the work machine, the equipment cost can be reduced. In addition, since the use of the work machine is determined using the acceleration, sound, and position, it is possible to prevent erroneous detection of a work machine in the vicinity.

Also, by combining various feature values Cxy, the operator can
(1) Being bent or otherwise (2) Walking or otherwise (3) Working machine in use or otherwise (4) Which working machine is in use ( 5) Even when walking, is it merely walking or walking using a cultivator? (6) If the work machine is in use, is the work machine idling? (7) Use of the work machine If it is in the middle, it is possible to specifically specify the work form such as use on a farm or other place.

  In this way, since the work history such as when and how much farmer did what farm work / work machine was used, it can be used when calculating the cost of crops, It is possible to set a price that is commensurate with the costs (labor costs, materials, equipment) spent on farm work.

  In the above-described embodiment, the frequency component of acceleration and sound data has been described as a specific frequency (20 [Hz], etc.), but may be changed as appropriate according to the work machine. Moreover, although each function in the work management apparatus 102 is constructed by a computer different from the sensor unit, a work management program may be installed in the sensor unit. Also, by installing a work management program in an existing mobile phone equipped with the acceleration sensor 306 and the GPS 305, work management can be realized at low cost.

  In the specification of the work form candidate (step S1107), the work form candidate is specified based on the feature amount obtained from the acceleration sensor 306. However, the feature amount obtained from the sound data may be used in combination. In this way, by using the acceleration feature quantity and the sound data feature quantity together, it can be seen that the vibration and sound generated by the engine are continuously generated for a certain period of time, and the work form candidate identification accuracy is improved. Can do. In this case, in the determination table 600, in addition to the feature values Csc, Csd, and Cse indicating that the work machine is idling, a feature value that is a power spectrum of the frequency component of the sound generated while the work machine is moving is set. Just keep it.

  The work management method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The work management program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The work management program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Appendix 1) Computer
Acquisition of information relating to dynamic characteristics transmitted from the worker and the work machine during a period in which a worker using the work machine is carrying the terminal from a terminal that detects the dynamic characteristics transmitted to the terminal body means,
Based on the information acquired by the acquisition means, for each evaluation item for evaluating the behavior of the worker during the period, a calculation means for calculating a feature value for evaluating a dynamic characteristic according to the behavior of the worker,
A specifying unit for specifying a work mode of the worker based on a calculation result calculated by the calculation unit;
Output means for outputting information on the work mode specified by the specifying means;
Work management program characterized by functioning as

(Supplementary Note 2) The calculation means includes:
A first characteristic value for evaluating a dynamic characteristic related to vibration generated by the worker's walking or a movement of a work machine on which the worker is boarded and driving, and a dynamic characteristic generated according to the posture of the worker are evaluated. A second feature value, a third feature value for evaluating a dynamic characteristic related to vibration inherent in the worker's walking, or a fourth characteristic value for evaluating a dynamic characteristic related to vibration specific to the work machine used by the worker Calculate at least one of the feature quantities,
The specifying means is:
The work management program according to appendix 1, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation means.

(Supplementary Note 3) The calculation means includes:
Furthermore, a fifth feature value for evaluating a dynamic characteristic related to vibration generated according to the swing of the worker's arm, a sixth feature value for evaluating a dynamic characteristic generated according to the posture of the worker's arm, Alternatively, at least one of the seventh feature values for evaluating a dynamic characteristic related to vibration inherent in the work machine transmitted from the work machine via the operator's arm is calculated.
The specifying means is:
The work management program according to appendix 2, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation means.

(Appendix 4) The acquisition means includes:
Further, when the terminal detects a dynamic characteristic related to sound transmitted from a work machine, the terminal acquires information about the sound during a period in which the worker is carrying the terminal,
The calculating means includes
Furthermore, based on the information about the sound acquired by the acquisition means, an eighth feature value for evaluating the loudness of the sound, or a ninth feature value for evaluating a sound component unique to the work machine. At least one of the feature values is calculated,
The specifying means is:
4. The work management program according to appendix 2 or 3, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation means.

(Supplementary note 5) The work management program according to supplementary note 4, wherein the ninth feature amount is a feature amount for evaluating a sound component during idling of the work machine.

(Supplementary note 6)
Based on at least the first or second feature amount, it is specified whether the work form of the worker is a work form in which the worker bends or other work form. The work management program according to any one of appendices 2 to 5.

(Supplementary note 7)
Based on at least one of the first to third feature quantities, whether the worker's work form is a work form in which the worker walks or other work form. The work management program according to supplementary note 2, characterized by specifying.

(Supplementary note 8)
Based on at least one of the first to third feature quantities, whether the worker's work form is a work form in which the worker walks or other work form. The work management program according to appendix 3, characterized by specifying.

(Supplementary note 9)
When it is specified that the worker is in a work form to walk, the work machine in the work form in which the worker walks is further based on at least one of the fifth to seventh feature values. 9. The work management program according to appendix 8, characterized in that it is specified whether or not a user is used.

(Supplementary Note 10) The specifying means includes:
When it is specified that the worker is in a work form to walk, the work machine in the work form in which the worker walks is further based on at least one of the eighth or ninth feature quantity. The work management program according to appendix 9, characterized in that it is specified whether or not a user is used.

(Supplementary Note 11) The specifying means includes:
Based on at least the fourth feature amount, it is specified whether the worker's work mode is a work mode in which the worker rides and uses the work machine or other work modes. The work management program according to any one of appendices 2 to 4, characterized by:

(Supplementary note 12)
Furthermore, the work management program according to appendix 11, wherein the work machine type is specified.

(Supplementary note 13) The acquisition means includes:
Furthermore, when the terminal detects the position of the terminal main body, the terminal acquires information on the position during the period in which the worker is carrying the terminal,
The specifying means is:
When it is specified that the worker is in a working mode that the worker rides and uses the work machine, the work machine is moved during the period based on a change in information regarding the position obtained during the period by the obtaining unit. The work management program according to any one of appendices 6 to 12, characterized in that it is specified whether or not it is continuously used.

(Additional remark 14) From the terminal which detects the dynamic characteristic transmitted to the terminal main body, the information regarding the dynamic characteristic transmitted from the said operator during the period when the worker who uses a work machine is carrying the said terminal is acquired. Acquisition means;
Calculation means for calculating a feature value for evaluating a dynamic characteristic according to the behavior of the worker for each evaluation item for evaluating the behavior of the worker during the period based on the information obtained by the obtaining means; ,
A specifying means for specifying the work mode of the worker based on the calculation result calculated by the calculating means;
Output means for outputting information on the work mode specified by the specifying means;
A work management apparatus comprising:

(Supplementary note 15)
An acquisition step of acquiring information on dynamic characteristics transmitted from the worker during a period in which a worker using a work machine is carrying the terminal from a terminal that detects the dynamic characteristics transmitted to the terminal body;
Based on the information acquired by the acquisition step, for each evaluation item for evaluating the worker's behavior during the period, a calculation step for calculating a feature value for evaluating a dynamic characteristic corresponding to the worker's behavior; ,
Based on the calculation result calculated by the calculation step, a specifying step for specifying the work mode of the worker,
An output step of outputting information on the work mode specified by the specifying step;
The work management method characterized by performing.

Gi sensor information 100 work management system 101 sensor unit 101a sensor unit 101b sensor unit 102 work management apparatus 500 sensor information DB
600 Determination table 700 Map information DB
801 Acquisition unit 802 Calculation unit 803 Identification unit 804 Output unit 841 Creation unit 842 Work history DB
843 Display

Claims (7)

Computer
Acquisition of information relating to dynamic characteristics transmitted from the worker and the work machine during a period in which a worker using the work machine is carrying the terminal from a terminal that detects the dynamic characteristics transmitted to the terminal body means,
Based on the information acquired by the acquisition means, for each evaluation item for evaluating the behavior of the worker during the period, a calculation means for calculating a feature value for evaluating a dynamic characteristic according to the behavior of the worker,
A specifying unit for specifying a work mode of the worker based on a calculation result calculated by the calculation unit;
Output means for outputting information on the work mode specified by the specifying means;
Work management program characterized by functioning as The calculating means includes
A first characteristic value for evaluating a dynamic characteristic related to vibration generated by the worker's walking or a movement of a work machine on which the worker is boarded and driving, and a dynamic characteristic generated according to the posture of the worker are evaluated. A second feature value, a third feature value for evaluating a dynamic characteristic related to vibration inherent in the worker's walking, or a fourth characteristic value for evaluating a dynamic characteristic related to vibration specific to the work machine used by the worker Calculate at least one of the feature quantities,
The specifying means is:
The work management program according to claim 1, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation unit. The calculating means includes
Furthermore, a fifth feature value for evaluating a dynamic characteristic related to vibration generated according to the swing of the worker's arm, a sixth feature value for evaluating a dynamic characteristic generated according to the posture of the worker's arm, Alternatively, at least one of the seventh feature values for evaluating a dynamic characteristic related to vibration inherent in the work machine transmitted from the work machine via the operator's arm is calculated.
The specifying means is:
The work management program according to claim 2, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation unit. The acquisition means includes
Furthermore, when the terminal detects sound outside the terminal main body, the terminal acquires information about the sound during a period in which the worker is carrying the terminal,
The calculating means includes
Furthermore, based on the information about the sound acquired by the acquisition means, an eighth feature value for evaluating the loudness of the sound, or a ninth feature value for evaluating a sound component unique to the work machine. At least one of the feature values is calculated,
The specifying means is:
The work management program according to claim 2 or 3, wherein the work form of the worker is specified based on a combination of feature amounts calculated by the calculation means.   The work management program according to claim 4, wherein the ninth feature amount is a feature amount for evaluating a sound component during idling of the work machine. Acquisition of information relating to dynamic characteristics transmitted from the worker and the work machine during a period in which a worker using the work machine is carrying the terminal from a terminal that detects the dynamic characteristics transmitted to the terminal body Means,
Calculation means for calculating a feature value for evaluating a dynamic characteristic according to the behavior of the worker for each evaluation item for evaluating the behavior of the worker during the period based on the information obtained by the obtaining means; ,
A specifying means for specifying the work mode of the worker based on the calculation result calculated by the calculating means;
Output means for outputting information on the work mode specified by the specifying means;
A work management apparatus comprising: Computer
Acquisition of information relating to dynamic characteristics transmitted from the worker and the work machine during a period in which a worker using the work machine is carrying the terminal from a terminal that detects the dynamic characteristics transmitted to the terminal body Process,
Based on the information acquired by the acquisition step, for each evaluation item for evaluating the worker's behavior during the period, a calculation step for calculating a feature value for evaluating a dynamic characteristic corresponding to the worker's behavior; ,
Based on the calculation result calculated by the calculation step, a specifying step for specifying the work mode of the worker,
An output step of outputting information on the work mode specified by the specifying step;
The work management method characterized by performing.

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