Work item estimation system

Abstract

To provide a work item estimation device, work item estimation system, and work item estimation method, which enable estimation of work items of workers without having to install special indoor equipment.SOLUTION: There is provided a work item estimation device 21 comprising: a memory 24 for storing a work feature table defining a characteristic step count pattern of a worker for each of multiple work items for building facility management; a first communication device 25 for receiving a step count notification signal including an actual step count pattern of the worker during a predetermined time period starting from a survey time; and a processor 23 configured to estimate a work item corresponding to the actual step count pattern of the worker by referring to the characteristic step count pattern of the worker for each work item stored in the memory.SELECTED DRAWING: Figure 1

Description

Technical Field

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[0001] The present disclosure relates to a work item estimation device, a work item estimation system, and a work item estimation method.

Background Art

[0002] The resident management work of building facilities is carried out by multiple people. The resident management work includes regular work such as daily patrol inspections and irregular work such as equipment failure response, requests from building users, and responses to claims. In the building resident management work, multiple responsible persons share and implement daily work each time. If it is possible to know what work other work responsible persons are carrying out, confirmation work and duplicate work will be eliminated, and work efficiency will be improved.

[0003] A method of estimating the work items of a worker by detecting the position of the worker by utilizing indoor positioning technology can be considered.

[0004] Also, the system of Patent Document 1 includes a portable device and a management device. The portable device has a step counting means. The management device has a storage means for storing reference step information in advance, a step information comparison means for comparing the reference position information and the current step information, and a position determination means for determining the comparison result. When the portable device recognizes a marking device, the current step information and the identification information are sent to the management device, and the read reference position information and the current step information are compared. If the comparison result is outside a predetermined range, it is determined that the progress speed of the patrol work is abnormal.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, methods that infer work items from the worker's location require the installation of expensive indoor positioning equipment in the building to detect the worker's location.

[0007] Patent Document 1 allows you to determine whether the progress speed of the patrol work is abnormal, but it does not allow you to know the specific tasks being performed by the worker.

[0008] Therefore, the purpose of this disclosure is to provide a work item estimation device, a work item estimation system, and a work item estimation method that can estimate the work items of a worker without installing special indoor equipment. [Means for solving the problem]

[0009] The work item estimation device of this disclosure comprises: a memory that stores a worker's step count characteristic pattern for each of a plurality of work items for the management of building equipment; a first communication device that receives a step count notification signal that includes the worker's actual step count pattern for a predetermined time period retrospectively from the time of the survey; and a processor that estimates the work item corresponding to the worker's actual step count pattern by referring to the step count characteristic pattern for each work item stored in the memory.

[0010] The work item estimation method of this disclosure is a work item estimation method in a work item estimation system comprising a plurality of worker terminals carried by each worker and a work item estimation device, the method comprising: a step in which a first worker terminal accepts input of a worker's name; a step in which the first worker terminal transmits a survey request signal including the worker's name to the work item estimation device; a step in which the work item estimation device receives the survey request signal; a step in which the work item estimation device refers to a table defining the addresses of worker terminals for each worker and identifies the address of a second worker terminal which is the terminal of the worker whose name is included in the survey request signal; a step in which the work item estimation device transmits a step count transmission request signal to the second worker terminal; and a step count transmission request signal to the second worker terminal. The process includes the steps of: receiving a request signal; a second worker terminal transmitting a step count notification signal to a work item estimation device, which includes time-series data of steps for a predetermined period of time, retrospectively from the time the step count transmission request signal was received, as the worker's step count performance pattern; the work item estimation device receiving the step count notification signal; the work item estimation device referencing stored step count characteristic patterns for each work item to estimate the work item corresponding to the worker's step count performance pattern included in the step count notification signal; the work item estimation device transmitting a signal notifying the work item to the first worker terminal; the first worker terminal receiving the signal notifying the work item; and the first worker terminal displaying the work item. [Effects of the Invention]

[0011] According to this disclosure, it is possible to estimate the tasks of a worker without installing any special indoor equipment. [Brief explanation of the drawing]

[0012] [Figure 1] This diagram shows the configuration of the work item estimation system according to Embodiment 1. [Figure 2] This diagram shows the movement route of the temperature monitoring system inside the building. [Figure 3] This diagram shows the travel route for monthly electrical inspections. [Figure 4]It is a diagram showing the step count feature pattern FY(1) of the monthly electrical inspection. [Figure 5] It is a diagram showing the movement route of the in-building temperature patrol. [Figure 6] It is a diagram showing the step count feature pattern FY(2) of the in-building temperature patrol. [Figure 7] It is a diagram showing the movement route of the exhaust fan inspection. [Figure 8] It is a diagram showing the step count feature pattern FY(3) of the exhaust fan inspection. [Figure 9] It is a diagram showing the movement route of the water volume count value confirmation. [Figure 10] It is a diagram showing the step count feature pattern FY(4) of the water volume count value confirmation. [Figure 11] It is a diagram showing the movement route of the escalator startup. [Figure 12] It is a diagram showing the step count feature pattern FY(5) of the escalator startup. [Figure 13] It is a flowchart showing the processing procedure of the work item estimation method in Embodiment 1. [Figure 14] It is a diagram showing an example of a user table. [Figure 15] It is a diagram showing an example of the data included in the step count notification signal. [Figure 16] It is a diagram showing an example of the step count actual pattern FX. [Figure 17] It is a diagram showing an example of the estimation of the work item of an operator. [Figure 18] It is a diagram showing the configuration of the work item estimation system in Embodiment 2. [Figure 19] It is a flowchart showing the processing procedure of the work item estimation method in Embodiment 2. [Figure 20] It is a diagram showing an example of a work feature table. [Figure 21] It is a diagram showing an example of a current situation table. [Figure 22] It is a flowchart showing the processing procedure of the work item estimation method in Embodiment 3. [Figure 23]This diagram shows an example of an estimated set of tasks for a worker. [Modes for carrying out the invention]

[0013] The embodiments will be described below with reference to the drawings. Embodiment 1. Figure 1 is a diagram showing the configuration of the work item estimation system of Embodiment 1.

[0014] The work item estimation system comprises a work item estimation device 21 and worker terminals 31A, 31B, 31C, etc., carried by each worker. The worker terminals 31A, 31B, 31C, etc., are sometimes collectively referred to as worker terminal 31.

[0015] The worker terminal 31 includes a communication device 32, a memory 34, a processor 33, a sensor 35, a display device 36, and an input device 37.

[0016] The communication device 32 communicates with the work item estimation device 21. The communication device 32 can receive a step count transmission request signal from the work item estimation device 21. The communication device 32 can transmit a step count notification signal to the work item estimation device 21. The communication device 32 can receive work items from the work item estimation device 21.

[0017] The sensor 35 measures the number of steps taken by the worker carrying the worker terminal 31. The input device 37 accepts input of the name of the worker whose work item is to be known.

[0018] The display device 36 displays the estimated worker's work items. Memory 34 stores time-series data of the worker's step count measured by sensor 35. Memory 34 also stores programs and other data.

[0019] The processor 33 is configured to execute a program stored in the memory 34. The processor 33 reads out time-series data of steps for a predetermined period of time, going back from the time when it received the step count transmission request signal (hereinafter referred to as the survey time), from the memory 34, and transmits a step count notification signal containing the read step count time-series data as a step count performance pattern to the work item estimation device 21 via the communication device 32.

[0020] The processor 33 transmits a survey request signal, including the entered worker name, to the work item estimation device 21 via the communication device 32. The processor 33 receives the worker's work items via the communication device 32 and displays the worker's work items on the display device 36.

[0021] The work item estimation device 21 comprises a memory 24, a processor 23, and a first communication device 25.

[0022] The first communication device 25 communicates with the worker terminal 31. The first communication device 25 receives a step count notification signal transmitted from the worker terminal 31. The first communication device 25 transmits a step count transmission request signal to the worker terminal 31 carried by the worker to be surveyed.

[0023] Memory 24 stores the step count characteristic patterns of each worker for each of the multiple work items for managing building facilities. The step count characteristic patterns are represented by time-series data. Memory 24 stores a user table that defines the address of the worker terminal and the work location for each worker. Memory 24 also stores programs and other data.

[0024] The processor 23 is configured to execute a program stored in the memory 24. The processor 23 receives an investigation request signal from a worker terminal via the first communication device 25, refers to the user table to identify the address of the worker terminal of the worker name included in the investigation request signal, and sends a step count transmission request signal to the worker terminal at the identified address via the first communication device 25.

[0025] The processor 23 refers to the step count feature patterns for each work item stored in memory and estimates the work item that corresponds to the worker's actual step count pattern included in the step count notification signal.

[0026] The processor 23 transmits the estimated worker's work items to the worker terminal that sent the survey request signal via the first communication device 25.

[0027] The characteristic patterns of workers' step counts and their actual step count patterns are represented by time-series data.

[0028] The processor 23 compares time-series data of the worker's step count performance pattern with time-series data of the step count characteristic pattern for each work item. More specifically, the processor 23 estimates the work item the worker is currently performing by comparing the most recent time-series data of the worker's step count performance pattern with some or all of the time-series data of the step count characteristic pattern for each work item.

[0029] The processor 23 transmits a work item notification signal, which includes the estimated work item currently being performed by the worker, to the worker terminal via the first communication device 25.

[0030] Figure 3 shows the travel route for the monthly electrical inspection. Figure 4 shows the step count characteristic pattern FY(1) for the monthly electrical inspection. As shown in Figure 4, during the monthly electrical inspection, the worker alternates between traveling and inspecting electrical equipment. Travel is short in duration, and the step count is high during travel. Electrical equipment inspection is long in duration, and the step count decreases during the inspection.

[0031] Figures 2 and 5 show the movement routes for temperature checks within the building. Figure 6 shows the step count characteristic pattern FY(2) for temperature checks within the building. As shown in Figure 6, during temperature checks within the building, workers walk for about 40 seconds, stop for about 15 seconds, and measure the temperature. This is repeated. When moving between floors, escalators are used, so the number of steps is reduced.

[0032] Figure 7 shows the travel route for exhaust fan inspection. Figure 8 shows the step count characteristic pattern FY(3) for exhaust fan inspection. As shown in Figure 8, during exhaust fan inspection, the worker moves from the disaster prevention center to the rooftop and visually inspects or checks for abnormal noises of the exhaust fans scattered on the rooftop. The worker's step count is large when moving from the disaster prevention center to the rooftop and from the rooftop back to the disaster prevention center. During the inspection, the step count decreases.

[0033] Figure 9 shows the travel route for checking water meter readings. Figure 10 shows the step count characteristic pattern FY(4) for checking water meter readings. As shown in Figure 10, in checking water meter readings, workers move from the disaster prevention center to the location where the water meter is installed, read the reading from the water meter, and record it. This is repeated.

[0034] Figure 11 shows the movement route for escalator activation. Figure 12 shows the step count characteristic pattern FY(5) for escalator activation. As shown in Figure 12, during escalator activation, the worker starts from the disaster prevention center, performs the escalator activation work, and moves to the next escalator. The worker's step count increases when moving from the disaster prevention center to the installation location of the west side escalator group, when moving from the installation location of the west side escalator group to the installation location of the east side escalator group, and when moving from the installation location of the east side escalator group to the disaster prevention center. The worker's step count decreases while sequentially activating the west side escalators and while sequentially activating the east elevators.

[0035] Figure 13 is a flowchart showing the processing procedure of the work item estimation method of Embodiment 1. Here, we assume that worker X, who is carrying worker terminal 31A, wants to know the work items of worker Y. We also assume that worker Y is carrying worker terminal 31B.

[0036] In step S100, the processor 23 in the work item estimation device 21 creates step count feature patterns FY(s) for each work item, as shown in Figures 4, 6, 8, 10, and 12, where s = 1 to 5. These step count feature patterns may be created, for example, from time-series data of steps obtained by having an operator actually perform the work.

[0037] In step S101, the sensor 35 in the worker terminal 31B starts measuring the worker's step count, and the processor 33 executes a step counting application to store the worker's step count in the memory 34.

[0038] In step S102, worker X inputs the worker name Y of the worker to be investigated into the worker terminal 31A via the input device 37.

[0039] In step S103, at the worker terminal 31A, the processor 33 transmits a survey request signal including the worker's name to the work item estimation device 21 via the communication device 32.

[0040] In step S104, the processor 23 in the work item estimation device 21 receives a survey request signal through the first communication device 25.

[0041] In step S105, the processor 23 in the work item estimation device 21 refers to the user table stored in memory 24 to identify the address of the terminal (worker terminal) of the worker name included in the investigation request signal. Figure 14 shows an example of a user table. An address of the worker terminal is assigned to each worker (designation or ID).

[0042] In step S106, the processor 23 in the work item estimation device 21 transmits a step count transmission request signal to the identified worker terminal 31B via the first communication device 25.

[0043] In step S107, the processor 33 receives a step count transmission request signal through the communication device 32 at the worker terminal 31B.

[0044] In step S108, in the worker terminal 31B, the processor 33 reads the number of steps for the past X hours from the memory 34 from the time the step count transmission request signal was received (survey time). X hours can be, for example, 3 hours. The processor 33 transmits a step count notification signal containing the time-series data of the number of steps for the past X hours as a step count performance pattern FX to the work item estimation device 21 via the communication device 32. Figure 15 shows an example of the data included in the step count notification signal. The step count notification signal includes a set of data for day, time, number of steps, and user ID.

[0045] In step S109, the processor 23 in the work item estimation device 21 receives a step count notification signal through the first communication device 25.

[0046] In step S110, the processor 23 in the work item estimation device 21 creates a step count performance pattern FX based on the step count over the past X hours from the step count notification signal. Figure 16 shows an example of the step count performance pattern FX. The step count performance pattern, like the step count feature pattern, is represented by time-series data.

[0047] In step S111, the processor 23 in the work item estimation device 21 estimates the work item being performed by worker Y based on multiple step count feature patterns FY(1) to FY(n) stored in memory 24 and the step count performance pattern. The processor 23 estimates the work item being performed by the worker by comparing the time series data of the worker's step count performance pattern, including the latest time (survey time), with some or all of the time series data of the work item's step count feature pattern. Here, similarity of time series data can be determined using, for example, waveform pattern matching methods.

[0048] For example, processor 23 calculates the similarity R(k, s) between the time series data of steps from time k×Δt before the latest time tc of step count performance pattern FX to the latest time tc (i.e., tc - k×Δt ≤ tx ≤ tc) and the time series data of steps from time 0 to time k×Δt after time k×Δt of step count feature pattern FY(s) to time ty (i.e., 0 ≤ ty ≤ k×Δt). Processor 23 sequentially changes k and s to calculate the similarity R(k, s) and identifies the k and s that maximize the similarity R(k, s) as Km and Sm. Processor 23 can determine that the time series data for the past Km×Δt hours starting from the latest time of step count performance pattern FX is the most similar to the time series data for Km×Δt minutes of step count feature pattern FY(Sm). For example, the correlation between the two time series data can be used as the similarity R(k, s).

[0049] Figure 17 shows an example of an estimated worker's task. In the example in Figure 17, the worker's task is estimated to be "checking water meter readings."

[0050] In step S112, in the work item estimation device 21, the processor 23 transmits a work item notification signal containing the work items of worker Y to the worker terminal 31A via the first communication device 25.

[0051] In step S113, the processor 33 receives a work item notification signal at the worker terminal 31A via the communication device 32.

[0052] In step S114, the processor 33 displays the worker's work items included in the work item notification signal on the display device 36 at the worker terminal 31A.

[0053] As described above, according to this embodiment, by comparing the step count characteristic pattern for each of the worker's work items with the step count actual pattern of the work the worker is currently performing, it is possible to estimate the work item the worker is performing remotely without installing any special indoor equipment.

[0054] Embodiment 2. Figure 18 is a diagram showing the configuration of the work item estimation system of Embodiment 2.

[0055] The difference between the work item estimation system of Embodiment 2 and the work item estimation system of Embodiment 1 is that the work item estimation device 21 of Embodiment 2 further includes a second communication device 22.

[0056] The second communication device 22 acquires weather data from the weather data provision service device 11. The memory 24A of the work item estimation device 21 stores a work characteristic table for each of the multiple work items for managing building equipment, which defines the possible time period, the possible weather conditions, and the step count characteristic pattern of the worker.

[0057] The processor 23 refers to the work characteristics table to estimate work items corresponding to the survey time, the weather at the time of the survey, and the worker's step count pattern.

[0058] Figure 19 is a flowchart showing the processing procedure of the work item estimation method of Embodiment 2. Here, we assume that worker X, who is carrying worker terminal 31A, wants to know the work items of worker Y. We also assume that worker Y is carrying worker terminal 31B.

[0059] In step S200, the processor 23 in the work item estimation device 21 creates step count feature patterns for each work item, similar to Embodiment 1. The processor 23 creates a work feature table that defines the possible time period, possible weather conditions, and step count feature pattern for each work item name. Figure 20 shows an example of a work feature table. For example, for "monthly electrical inspection," the possible time period is defined as "10:00~12:00, 13:00~17:00," and the possible weather conditions are defined as "sunny or cloudy."

[0060] In step S101, the sensor 35 in the worker terminal 31B starts measuring the worker's step count, and the processor 33 executes a step counting application to store the worker's step count in the memory 34.

[0061] In step S102, worker X inputs the worker name Y of the worker to be investigated into the worker terminal 31A via the input device 37.

[0062] In step S103, at the worker terminal 31A, the processor 33 transmits a survey request signal including the worker's name to the work item estimation device 21 via the communication device 32.

[0063] In step S104, the processor 23 in the work item estimation device 21 receives a survey request signal through the first communication device 25.

[0064] In step S105, the work item estimation device 21, specifically the processor 23, refers to the user table stored in memory 24 to identify the address of the terminal (worker terminal) of the worker name included in the investigation request signal.

[0065] In step S201, the work item estimation device 21, specifically the processor 23, refers to the user table stored in memory 24 to identify the work location of worker name Y included in the survey request signal. The processor 23 then accesses the weather data provision service device 11 via the second communication device 22 to obtain weather data for the work location at the time the survey request signal was received.

[0066] In step S106, the processor 23 in the work item estimation device 21 transmits a step count transmission request signal to the identified worker terminal 31B via the first communication device 25.

[0067] In step S107, the processor 33 receives a step count transmission request signal through the communication device 32 at the worker terminal 31B.

[0068] In step S108, in the worker terminal 31B, the processor 33 reads the number of steps for the past X hours from the memory 34 from the time the step count transmission request signal was received. X hours can be, for example, 3 hours. The processor 33 transmits a step count notification signal containing the time-series data of the number of steps for the past X hours as a step count performance pattern FX to the work item estimation device 21 via the communication device 32.

[0069] In step S109, the processor 23 in the work item estimation device 21 receives a step count notification signal through the first communication device 25.

[0070] In step S110, in the work item estimation device 21, the processor 23 creates a step count performance pattern FX based on the step count over the past X hours from the step count notification signal.

[0071] In step S202, the processor 23 in the work item estimation device 21 creates a current status table that includes a step count pattern FX representing the number of steps taken in the past X hours from the time the survey request signal created in step S110 was received, the time the survey request signal was received (survey time), and the weather at the time the survey request signal was received, which was acquired in step S201.

[0072] Figure 21 shows an example of the current table. In the example in Figure 21, the step count pattern is set to FX, the time to "10:24", and the weather to "sunny".

[0073] In step S211, the work item estimation device 21, specifically the processor 23, estimates the work item currently being performed by worker Y based on the work characteristic table and the current status table stored in the memory 24.

[0074] The processor 23 identifies the work items in the work feature table that have defined work time periods that include the time in the current table, work weather conditions that match the weather in the current table, and step count feature patterns that are most similar to the step count performance pattern in the current table. The degree of similarity between the step count performance pattern and the step count feature pattern can be determined in the same manner as in Embodiment 1.

[0075] In step S112, in the work item estimation device 21, the processor 23 transmits a work item notification signal containing the work items of worker Y to the worker terminal 31A via the first communication device 25.

[0076] In step S113, the processor 33 receives a work item notification signal at the worker terminal 31A via the communication device 32.

[0077] In step S114, the processor 33 displays the worker's work items included in the work item notification signal on the display device 36 at the worker terminal 31A.

[0078] As described above, according to this embodiment, by comparing a work characteristics table, which includes the available time slots, available weather conditions, and step count characteristic patterns for each of the worker's work items, with a current status table, which includes the time, weather, and step count performance pattern of the work the worker is currently performing, it is possible to remotely estimate the work items the worker is performing without installing any special indoor equipment.

[0079] Embodiment 3. In this embodiment, the processor 23 of the work item estimation device 21 estimates the work items that the worker has already completed by comparing the time-series data of the worker's step count performance pattern with all of the time-series data of the step count characteristic patterns of the work items.

[0080] Figure 22 is a flowchart showing the processing procedure of the work item estimation method of Embodiment 3. The difference between the flowchart of Embodiment 3 in Figure 22 and the flowchart of Embodiment 2 in Figure 19 is that the flowchart in Figure 22 includes step S311 instead of step S211.

[0081] In step S311, the work item estimation device 21, specifically the processor 23, estimates the work items completed by worker Y based on the work characteristic table and the current status table stored in the memory 24.

[0082] The processor 23 identifies the work items in the work feature table that have defined work-permitted time periods that include the time in the current table, work-permitted weather conditions that match the weather in the current table, and step count feature patterns that are most similar to the step count performance pattern in the current table.

[0083] In Embodiment 3, the processor 23 can determine the similarity between the step count performance pattern and the step count feature pattern as follows.

[0084] For example, processor 23 calculates the similarity R(k, s) between the time series data of steps at time ty from time 0 to time t(s) after time t(s) of step count feature pattern FY(s) (0≦ty≦t(s)) and the time series data of steps at time tx from time t0+k×Δt to time k×t(s) after time t0+k×Δt≦tx≦t0+k×Δt+t(s)) of step count actual pattern. t(s) is the work time of work item s represented by step count feature pattern FY(s). In the case of FY(1), t(1)=120; in the case of FY(2), t(2)=60; in the case of FY(3), t(3)=40; in the case of FY(4), t(4)=11; and in the case of FY(5), t(5)=11.

[0085] The processor 23 sequentially changes s and k to calculate the similarity R(k,s), and identifies the k and s that maximize the similarity R(k,s) as Km and Sm. The processor 23 can determine that the time series data of step count performance pattern FX at time (t0 + Km × Δt ≤ tx ≤ t0 + Km × Δt + t(Sm)) is most similar to the time series data of step count feature pattern FY(Sm) for t(Sm) hours.

[0086] Figure 23 is a diagram illustrating an example of an estimated worker's task. In the example in Figure 23, the worker's task is estimated to be "checking water meter readings."

[0087] As described above, according to this embodiment, by comparing a work characteristics table, which includes the available time slots, available weather conditions, and step count characteristic patterns for each of the worker's work items, with a current status table, which includes the time, weather, and step count performance pattern of the work the worker is currently performing, it is possible to estimate the work items that the worker has already completed remotely without installing any special indoor equipment.

[0088] The embodiments described above are specific examples of the following appendix. (Note 1) For each of the multiple work items for managing building facilities, there is a memory that stores the worker's step count characteristic pattern, A first communication device that receives a step count notification signal including the step count pattern of the worker within a predetermined time period, retrospectively from the time of the survey, A work item estimation device comprising: a processor that estimates a work item corresponding to the worker's step count performance pattern by referring to the step count characteristic pattern for each work item stored in the memory.

[0089] (Note 2) The memory stores a work characteristic table for each of the multiple work items for managing building facilities, which defines the possible time period, the possible weather conditions, and the step count characteristic pattern of the worker. It is further equipped with a second communication device to obtain the weather at the time of the survey, The processor is a work item estimation device as described in Appendix 1, which estimates work items corresponding to the survey time, the weather at the survey time, and the worker's step count performance pattern by referring to the work characteristics table.

[0090] (Note 3) The characteristic pattern of the worker's step count and the actual pattern of the worker's step count are represented by time-series data. The processor is a work item estimation device as described in Appendix 1 or 2, which compares time-series data of the worker's step count performance pattern with time-series data of the step count characteristic pattern of each work item.

[0091] (Note 4) The work item estimation device described in Appendix 3, wherein the processor estimates the work item being performed by the worker by comparing data including the latest time from the time series data of the worker's step count performance pattern with some or all of the time series data of the step count characteristic pattern of each work item.

[0092] (Note 5) The work item estimation device described in Appendix 3, wherein the processor estimates the work items that the worker has completed by comparing the time-series data of the worker's step count performance pattern with all of the time-series data of the step count characteristic patterns of each work item.

[0093] (Note 6) A work item estimation device described in any one of the appendices 1 to 5, Each worker carries multiple worker terminals, In the aforementioned work item estimation device, The first communication device transmits a step count transmission request signal to the worker terminal carried by the worker to be surveyed. The aforementioned worker terminal is, A sensor for measuring the number of steps taken by the worker, A memory for storing the time-series data of the measured number of steps, A communication device that receives the step count transmission request signal from the work item estimation device, A work item estimation system comprising: a processor that reads time-series data of steps for a predetermined period of time from the memory, going back from the time the step count transmission request signal was received, and transmits the step count notification signal, which includes the read-out time-series data of steps as the step count performance pattern, to the work item estimation device via the communication device.

[0094] (Note 7) The aforementioned worker terminal further, An input device that accepts the worker's name, Equipped with a display device, The processor transmits a survey request signal including the worker's name to the work item estimation device via the communication device, receives the worker's work items via the communication device, and displays the worker's work items on the display device. In the aforementioned work item estimation device, The memory stores a user table that defines the address of the worker terminal for each worker, The processor receives the investigation request signal through the first communication device, refers to the user table to identify the address of the worker's terminal of the worker whose name is included in the investigation request signal, and transmits the step count transmission request signal to the worker's terminal of the worker whose name is included in the investigation request signal through the first communication device. The work item estimation system according to Appendix 6, wherein the processor transmits the estimated work items of the worker to the worker terminal that sent the survey request signal via the first communication device.

[0095] (Note 8) A work item estimation method in a work item estimation system comprising multiple worker terminals carried by each worker and a work item estimation device, The first worker terminal accepts the input of the worker's name, The first worker terminal transmits a survey request signal including the worker's name to the work item estimation device, The work item estimation device includes the step of receiving the survey request signal, The work item estimation device refers to a table that defines the addresses of worker terminals for each worker, and identifies the address of a second worker terminal which is the terminal of the worker whose name is included in the survey request signal. The work item estimation device transmits a step count transmission request signal to the second worker terminal, The second worker terminal receives the step count transmission request signal, The second worker terminal transmits a step count notification signal to the work item estimation device, which includes time-series data of steps for a predetermined period of time, retrospectively from the time the step count transmission request signal was received, as the worker's step count performance pattern. The work item estimation device includes the step of receiving the step count notification signal, The work item estimation device estimates the work item corresponding to the worker's step count pattern included in the step count notification signal by referring to the step count characteristic pattern for each work item stored in the system. The work item estimation device transmits a signal notifying the work item to the first worker terminal, The first worker terminal receives a signal notifying the work item, A method for estimating a work item, comprising the step of the first worker terminal displaying the work item.

[0096] The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of the present invention is indicated by the claims rather than by the foregoing description, and all modifications within the meaning and scope equivalent to the claims are intended to be included. [Explanation of symbols]

[0097] 11 Weather data provision service device, 21 Work item estimation device, 22, 25, 32 Communication device, 23, 33 Processor, 24, 34 Memory, 31A, 31B, 31C Worker terminal, 35 Sensor, 36 Display device, 37 Input device.

Claims

1. Work item estimation device, Each worker carries multiple worker terminals, The aforementioned work item estimation device is For each of the multiple work items for managing building facilities, there is a memory that stores the worker's step count characteristic pattern, A first communication device that receives a step count notification signal including the step count pattern of the worker within a predetermined time period, retrospectively from the time of the survey, The system includes a processor that estimates a work item corresponding to the worker's step count pattern by referring to the step count characteristic pattern for each work item stored in the memory, In the aforementioned work item estimation device, The first communication device transmits a step count transmission request signal to the worker terminal carried by the worker to be surveyed. The aforementioned worker terminal is, A sensor for measuring the number of steps taken by the worker, A memory for storing the time-series data of the measured number of steps, A communication device that receives the step count transmission request signal from the work item estimation device, The system includes a processor that reads time-series data of steps for a predetermined period of time from the memory, going back from the time the step count transmission request signal was received, and transmits the step count notification signal, which includes the read time-series data of steps as the step count performance pattern, to the work item estimation device via the communication device. The aforementioned worker terminal further, An input device that accepts the worker's name, Equipped with a display device, The processor transmits a survey request signal including the worker's name to the work item estimation device via the communication device, receives the worker's work items via the communication device, and displays the worker's work items on the display device. In the aforementioned work item estimation device, The memory stores a user table that defines the address of the worker terminal for each worker, The processor receives the investigation request signal through the first communication device, refers to the user table to identify the address of the worker's terminal of the worker whose name is included in the investigation request signal, and transmits the step count transmission request signal to the worker's terminal of the worker whose name is included in the investigation request signal through the first communication device. A work item estimation system comprising a processor that transmits the estimated work items of the worker to the worker terminal that sent the survey request signal via the first communication device.

2. In the work item estimation device, The memory stores a work characteristic table for each of the multiple work items for managing building facilities, which defines the possible time period, the possible weather conditions, and the step count characteristic pattern of the worker. The system further includes a second communication device that acquires the weather at the time of the aforementioned survey, The work item estimation system according to claim 1, wherein the processor estimates work items corresponding to the survey time, the weather at the survey time, and the worker's step count performance pattern by referring to the work feature table.

3. In the work item estimation device, The characteristic pattern of the worker's step count and the actual pattern of the worker's step count are represented by time-series data. The work item estimation system according to claim 1, wherein the processor compares time-series data of the worker's step count performance pattern with time-series data of the step count characteristic pattern of each work item.

4. In the work item estimation device, The work item estimation system according to claim 3, wherein the processor estimates the work item being performed by the worker by comparing data including the latest time from the time series data of the worker's step count performance pattern with some or all of the time series data of the step count characteristic pattern of each work item.

5. In the work item estimation device, The work item estimation system according to claim 3, wherein the processor estimates the work items that the worker has completed by comparing time-series data of the worker's step count performance pattern with all of the time-series data of step count characteristic patterns for each work item.

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