JP6515596B2 - Data acquisition program, information processing apparatus and data acquisition method - Google Patents

Description

  The present invention relates to a data acquisition program, an information processing apparatus, and a data acquisition method.

  Information processing apparatuses that acquire data from various devices are used. For example, the facility environment can be managed by information acquired from a device such as a sensor that measures temperature, humidity, power consumption, and the like. Further, for example, the operation status of the facility in the facility can be managed by the information indicating the change of the operation mode or the like acquired from the device such as the air conditioner or the lighting device.

  For example, the devices include an on-demand type device that transmits data on demand to an information processing apparatus, and a push type device that pushes and transmits data. When the on-demand type device receives a request for data from the information processing apparatus, it transmits data to the information processing apparatus. The push-type device transmits data to the information processing apparatus even if there is no request for data at some timing (for example, periodic timing or timing when data detected by the own device has a certain change or more). Do.

  For example, a data transmission method of a wireless measurement device for pushing and transmitting data has been proposed. The wireless measurement device intermittently transmits measurement data to the external device at a second period longer than the first period which is a measurement timing period. When the measurement data fluctuates, the wireless measurement device transmits the measurement data to the external device at a third period that is longer than the first period and shorter than the second period.

  Further, there has been proposed a technology in which the load cell main body intermittently transmits load data to the load data receiving apparatus at a predetermined transmission interval when there is a change in load data measured by the load cell main body in the power saving mode.

JP 2007-334465 A JP-A-8-127490

  As described above, the information processing apparatus transmits a request for data to the on-demand device, and acquires data from the on-demand device as a response. Therefore, in the information processing apparatus, the timing at which data is acquired from the on-demand device becomes a problem.

  For example, although the change in data within a certain time range is smaller than the change in data to be observed, it is inefficient to perform data acquisition multiple times within the same time range. As the frequency of data request / response transmission / reception increases, the load on the information processing apparatus, device, network, etc. may increase.

  In one aspect, the present invention aims to provide a data acquisition program, an information processing apparatus, and a data acquisition method that can acquire data efficiently.

In one aspect, a data acquisition program is provided. The data acquisition program causes the computer to acquire the data from the first device based on the information of the history of the data acquired from the plurality of devices, and then to change the second device to have a change in the acquired data. When timing management information in which the first device and the second device are associated with the determined time is generated and data is acquired from the first device, based on the timing management information, It is determined that the second device for data acquisition is selected and the timing for acquiring data from the second device is determined after the time has elapsed since the acquisition of data from the first device , and the timing determined Process to acquire data from the second device .

In one aspect, an information processing apparatus is provided. This information processing apparatus has a storage unit and an operation unit. The storage unit stores a history of data acquired from a plurality of devices. The computing unit determines, based on information on the history of data, a second device having a change in acquired data and a time until the change after acquiring data from the first device , and the first device When timing management information in which the second device and the determined time are associated is generated and data is acquired from the first device, the second device for which data is to be acquired is acquired based on the timing management information. It is determined that the timing for selecting and acquiring data from the second device is after the time has elapsed since the acquisition of data from the first device, and data is acquired from the second device at the determined timing .

Also, in one aspect, a data acquisition method is provided. In this data acquisition method, after the computer acquires data from the first device based on the information of the history of data acquired from the plurality of devices, the second device and the change in acquired data change When timing management information in which the first device and the second device are associated with the determined time is generated and data is acquired from the first device, based on the timing management information, It is determined that the second device for data acquisition is selected and the timing for acquiring data from the second device is determined after the time has elapsed since the acquisition of data from the first device , and the timing determined To obtain data from the second device .

  In one aspect, data can be acquired efficiently.

It is a figure showing the information processor of a 1st embodiment. It is a figure showing the information processing system of a 2nd embodiment. It is a figure showing an example of hardware of a gateway of a 2nd embodiment. It is an example of hardware of a temperature sensor of a 2nd embodiment. It is an example of hardware of an air conditioner of a 2nd embodiment. It is a figure which shows the example of a hardware of the server of 2nd Embodiment. It is a figure which shows the function example of the gateway of 2nd Embodiment. It is a figure which shows the function example of the temperature sensor of 2nd Embodiment. It is a figure which shows the function example of the air conditioner of 2nd Embodiment. It is a figure which shows the example of a packet of 2nd Embodiment. It is a figure which shows the example of the log | history table of 2nd Embodiment. It is a figure which shows the example of the dispersion value table of 2nd Embodiment. It is a figure which shows the example of the timing management table of 2nd Embodiment. It is a figure which shows the example of the reservation table of 2nd Embodiment. It is a figure which shows the specific example of the preparation process of 2nd Embodiment. It is a flowchart which shows the example of a preparation process of 2nd Embodiment (the 1). It is a flowchart which shows the process example of the on-demand type | mold device of 2nd Embodiment. It is a flowchart which shows the example of a preparation process of 2nd Embodiment (the 2). It is a flowchart which shows the operation processing example (the 1) of 2nd Embodiment. It is a flowchart which shows the operation processing example (the 2) of 2nd Embodiment. It is a figure which shows the example of the trigger immediate determination control table of 3rd Embodiment. It is a flowchart which shows the example of a preparation process of 3rd Embodiment. It is a figure which shows the example of the timing management table of 3rd Embodiment. It is a figure which shows the example of the trigger determination control table of 4th Embodiment. It is a flow chart which shows an example of preparation processing of a 4th embodiment. It is a figure which shows the example of the on-demand acquisition control table of 5th Embodiment. It is a flow chart which shows an example of operation processing of a 5th embodiment.

Hereinafter, the present embodiment will be described with reference to the drawings.
First Embodiment
FIG. 1 is a diagram illustrating an information processing apparatus according to the first embodiment. The information processing apparatus 1 acquires data from a plurality of devices. The information processing apparatus 1 performs environmental management of a facility where each device is installed, management of the operation status of each device, and the like based on the acquired data. The device may be, for example, a sensor that measures temperature, humidity or power consumption. The device may be an electrical device such as an air conditioner or a lighting device.

  The information processing apparatus 1 is connected to the first device 2 and the second device 3 via a network. The network may be a wireless network or a wired network. The first device 2 may be, for example, a push-type device. The first device 2 may be, for example, an on-demand device. The second device 3 is an on-demand type device. The information processing apparatus 1 provides a function of efficiently acquiring data from the on-demand second device 3.

  The information processing apparatus 1 includes a storage unit 1a and an operation unit 1b. The storage unit 1a may be a volatile storage device such as a random access memory (RAM) or a non-volatile storage device such as a hard disk drive (HDD) or a flash memory. The calculation unit 1 b may include a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), and the like. Arithmetic unit 1 b may be a processor that executes a program. The “processor” may also include a set of multiple processors (multiprocessor).

  The storage unit 1a stores a history of data acquired from a plurality of devices. The history of data is information in which identification information of a device, data acquired from the device, and acquired time are associated. The data obtained from the device may include, for example, various types of data according to the device, such as temperature, humidity, power consumption, or information on the changed operation mode. The history of data may be acquired by the calculation unit 1 b. For example, the arithmetic unit 1b may record a history of data acquired periodically (may be a cycle different for each device) from a plurality of devices as preparation processing before production operation. The data acquired from each device includes identification information of each device.

  For example, when acquiring data from an on-demand type device (for example, the second device 3), the arithmetic unit 1b requests the on-demand type device to transmit data. Then, by receiving data from the on-demand type device as a response from the on-demand type device, data is acquired from the on-demand type device.

  If the data acquisition source includes a push-type device, the data history may include a history of data pushed and transmitted from the device at any timing. For example, when the first device 2 is a push-type device, data acquisition from the first device 2 is performed without a request for data from the computing unit 1 b to the first device 2. That is, the first device 2 pushes and transmits data to the information processing device 1. The arithmetic unit 1 b acquires data from the first device 2 by receiving the data push-transmitted from the first device 2.

  For example, the storage unit 1a stores a history of data acquired from the first device 2 and the second device 3. More specifically, the history information includes information in which identification information of the first device 2, data acquired from the first device 2, and acquired time are associated. The history information includes information in which identification information of the second device 3, data acquired from the second device 3, and acquired time are associated with each other.

  After acquiring the data from the first device 2 based on the information of the history of the data acquired from the plurality of devices, the calculation unit 1b takes time to change the second device 3 having a change in acquired data Determine ΔT. For example, the calculation unit 1 b determines the time ΔT based on the statistic corresponding to the time difference between the time when data is acquired from the first device 2 and the time when data is acquired from the second device 3.

  More specifically, based on the information on the history stored in storage unit 1a, operation unit 1b changes the data in time ΔTa from time T1a at which the data is acquired from first device 2 The device 3 of The calculation unit 1 b detects, for the second device 3, that there is a change in data acquired at time T 1 b. Time difference ΔT1 = time T1b−time T1a, and ΔT1 <ΔTa (The calculation of “time T1b−time T1a” is an operation for obtaining a time difference between time T1b and time T1a). Arithmetic unit 1 b detects that there is a change in data when the value indicated by the data acquired from second device 3 changes by a predetermined value or more than the data acquired immediately before from second device 3. It is also good. That is, the calculation unit 1b may consider that the change smaller than the predetermined value is not changed. The predetermined value is, for example, determined in advance according to the degree of change of the data to be observed (may be determined by the rate of change from the immediately preceding value).

  The time ΔTa is a time range for specifying a determination candidate of the relationship between devices, and is stored in advance in the storage unit 1a. By providing the time range, it is possible to narrow down the determination candidates of the relationship between devices. For example, the time ΔTa can be determined in accordance with the operation cycle of the system (for example, it may be determined in accordance with the cycle if a certain degree of periodicity is recognized in the start and stop of each device). Alternatively, the time ΔTa may be determined according to the time difference to be excluded from the candidates for the determination of the relationship between devices. The calculation unit 1b excludes an acquisition event of data after a time longer than the time ΔTa has passed from the time T1a, as an object of determination of a relation with data acquisition at the time T1a.

  Similarly, from time T2a at which the data is acquired from the first device 2, the calculation unit 1b determines the second device 3 in which the data changes in the time ΔTa. Arithmetic unit 1b detects, for the second device 3, that there is a change in data acquired at time T2b. Time difference ΔT2 = time T2b−time T2a, and ΔT2 <ΔTa.

  Thus, the calculation unit 1b samples the time difference ΔTn (n = 1, 2,...) For the first device 2 and the second device 3. A lower limit may be provided for the sampling number of the time difference ΔTn to ensure the accuracy of the statistical evaluation (assumed to be an evaluation target when the sampling number is equal to or higher than the lower limit) and not an evaluation target when it is smaller than the lower limit. ). Then, for example, when the variance value of the plurality of time differences ΔTn is equal to or less than the threshold value, the calculation unit 1 b relates to the acquisition of data from the first device 2 and the change in data acquired from the second device 3. Determine that there is.

  When it is determined that there is a relationship, the calculation unit 1 b sets the time ΔT as, for example, an average value of a plurality of time differences ΔTn. Arithmetic unit 1 b stores information of time difference ΔT in storage unit 1 a in association with identification information of first device 2 and second device 3.

  On the other hand, when the variance value of the plurality of time differences ΔTn is larger than the threshold, the calculation unit 1 b relates to the acquisition of data from the first device 2 and the change in data acquired from the second device 3. It is determined that there is not. In this case, the calculation unit 1 b does not determine the time difference ΔT with respect to the combination of the first device 2 and the second device 3.

  As described above, the information processing apparatus 1 can acquire data from a plurality of other devices in addition to the first device 2 and the second device 3. Therefore, the arithmetic unit 1b performs the above-described process on the set of each of the other on-demand devices with which the information processing apparatus 1 communicates with the event of data acquisition from a certain device. It is also good. That is, for an event of data acquisition from a certain device, determination of the time difference ΔT and determination of data acquisition timing may be attempted for each of the other on-demand devices.

  Also, there may be a plurality of types of data acquired from the first device 2. That is, the information processing apparatus 1 may obtain different types of data from the first device 2 at different timings. In that case, the information processing apparatus 1 may determine the above time difference ΔT for each type of data acquired from the first device 2 and the first device 2.

  Arithmetic unit 1 b determines the timing of acquiring data from second device 3 as after time ΔT has elapsed since the acquisition of data from first device 2. For example, the calculation unit 1b then performs production operation processing. The arithmetic unit 1 b acquires data from the first device 2 at a certain time Tx.

  Then, the calculation unit 1 b acquires data from the second device 3 after the time ΔT has elapsed from the time Tx. The data acquired at this time is highly likely to be data after change with respect to the data held by the second device 3 between time Tx and time Tx + ΔT. The time ΔT is a result of statistical evaluation, because it is a time in which the relationship between the acquisition timing of data from the first device 2 and the change timing of data in the second device 3 is reflected. It can also be said that the time ΔT is a result of predicting the time from the time of data acquisition from the first device 2 to the change of data measured in the second device 3 by the calculation unit 1 b. Thus, the information processing apparatus 1 determines the timing for acquiring data from the second device 3 to measure the timing immediately after the data change, and the efficiency of the data from the on-demand second device 3 is increased. Can be obtained

  For example, it is possible to efficiently obtain post-change data rather than continuously obtaining non-change (or relatively small change) data from the second device 3 in a constant cycle. Since the frequency of acquiring data from the second device 3 can be reduced, the load on the information processing apparatus 1, the second device 3 and the network used for communication between the information processing apparatus 1 and each device can be reduced. Furthermore, by reducing the frequency of communication, power consumption by the information processing apparatus 1 and the second device 3 can also be reduced.

Second Embodiment
FIG. 2 is a diagram showing an information processing system according to the second embodiment. The information processing system according to the second embodiment detects a change in information acquired from a sensor disposed in a facility and automatically controls a device such as an electric device. For example, in a house, an information processing system (or a house equipped with such a system) that controls a device such as a home appliance may be referred to as a smart house, based on information acquired from a sensor.

  The information processing system of the second embodiment includes a gateway 100, a temperature sensor 200, smart outlets 300 and 300a, an air conditioner 400, and a TV receiver 500. The gateway 100 is connected to the temperature sensor 200, the smart outlet 300, the air conditioner 400 and the TV receiver 500 via the network 10.

  The network 10 is, for example, a LAN (Local Area Network). The network 10 may be a wired LAN or a wireless LAN. Further, various devices of the temperature sensor 200, the smart outlets 300 and 300a, the air conditioner 400, and the TV receiver 500 and the gateway 100 may be connected using near field wireless technology such as Bluetooth (registered trademark). The gateway 100 is also connected to the network 20. The network 20 is, for example, the Internet. A server 600 is connected to the network 20.

  The gateway 100 is an apparatus for acquiring data from devices such as the temperature sensor 200, the smart outlets 300 and 300a, the air conditioner 400, and the TV receiver 500. For example, the gateway 100 acquires data from each device using a communication protocol called ECHONET Lite (ECHONET is a registered trademark). The gateway 100 may acquire data from each device using a communication protocol other than ECHONET Lite. The gateway 100 is implemented by a computer provided with a processor and a memory.

  For example, the gateway 100 executes an application for environment monitoring (for example, software for managing the temperature in the facility and the power consumption of each device). For example, the gateway 100 also functions as a Web server, and data obtained from each device or processed data (for example, energy saving) in a client terminal (such as a computer or smart terminal) connected to the network 10 or 20 Provide advice, etc.). The client terminal functions as a web browser and causes the display provided to the client terminal to display the provided data. In addition, the gateway 100 controls the operation of any device (for example, the air conditioner 400) based on data (for example, temperature) acquired from each device.

  The computer that executes the above application or the computer that functions as a Web server may be other than the gateway 100 (for example, another computer connected to the network 20).

The temperature sensor 200 and the smart outlets 300 and 300a are examples of on-demand devices (on-demand devices).
The temperature sensor 200 measures the current room temperature. When requested by the gateway 100 for measurement data, the temperature sensor 200 transmits measurement data indicating the current room temperature to the gateway 100.

  The smart outlet 300 is a power sensor that measures current power consumption by the air conditioner 400. The smart outlet 300 a is a power sensor that measures the current power consumption by the TV receiver 500. When requested by the gateway 100 for measurement data, the smart outlets 300 and 300a transmit measurement data indicating the current power consumption of the air conditioner 400 and the TV receiver 500 to the gateway 100.

  The air conditioner 400 and the TV receiver 500 are examples of a push-type device (push-type device). For example, the air conditioner 400 pushes and transmits data indicating the start or stop of the air conditioner 400 to the gateway 100 at the timing of start (power ON) or stop (power OFF). That is, even if there is no request from the gateway 100, data is transmitted to the gateway 100 at this timing. The air conditioner 400 pushes and transmits data indicating the change to the gateway 100, for example, also at the timing of the change of the operation mode such as cooling / heating / air flow. Similarly, the TV receiver 500 pushes and transmits data indicating that to the gateway 100 at the timing of start or stop or the timing of change of the operation mode (for example, change of sound volume).

The server 600 is a server computer that distributes a program to the gateway 100. For example, the gateway 100 can download a program from the server 600.
Here, as described above, in a system such as a smart house, for example, the operation of the air conditioner is suppressed when the room temperature exceeds or falls below the specified value, and the application of energy saving advice is Display. In such a system, it is important to grasp changes in room temperature and electric energy in real time.

  There are many on-demand sensors among frequently used sensors such as temperature sensors. In order to grasp changes in data in real time using the on-demand sensor, it is conceivable that the gateway 100 transmits a data acquisition command to the on-demand sensor in a relatively short cycle. However, in this case, the transmission frequency of the command may be increased, and the load on the network 10 or the gateway 100 may be increased. Therefore, the gateway 100 provides a function of efficiently acquiring data after change from the on-demand sensor.

  FIG. 3 is a diagram illustrating an example of hardware of a gateway according to the second embodiment. The gateway 100 includes a processor 101, a RAM 102, an HDD 103, and communication interfaces 104 and 104a. Each unit is connected to the gateway 100 bus.

  The processor 101 controls the entire gateway 100. The processor 101 may be a multiprocessor including a plurality of processing elements. The processor 101 is, for example, a CPU, a DSP, an ASIC, or an FPGA. Further, the processor 101 may be a combination of two or more elements of a CPU, a DSP, an ASIC, an FPGA, and the like.

  The RAM 102 is a main storage device of the gateway 100. The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the processor 101. The RAM 102 also stores various data used for processing by the processor 101.

  The HDD 103 is an auxiliary storage device of the gateway 100. The HDD 103 magnetically writes data to and reads data from the built-in magnetic disk. The HDD 103 stores an OS program, an application program, and various data. The gateway 100 may include other types of auxiliary storage devices such as flash memory and solid state drive (SSD), and may include a plurality of auxiliary storage devices.

  The communication interface 104 communicates with the temperature sensor 200, the smart outlets 300 and 300 a, the air conditioner 400, and the TV receiver 500 via the network 10. The communication interface 104 a communicates with other computers (server computer, client terminal, etc.) via the network 20. The communication interfaces 104 and 104a may be wired communication interfaces or wireless communication interfaces.

  FIG. 4 is an example of hardware of the temperature sensor according to the second embodiment. The temperature sensor 200 includes a processor 201, a RAM 202, a flash memory 203, a sensor unit 204, and a communication interface 205. Each unit is connected to the bus of the temperature sensor 200. On-demand devices other than the temperature sensor 200 (for example, smart outlets 300 and 300a) can also be realized by hardware similar to the temperature sensor 200.

  The processor 201 controls the entire temperature sensor 200. The processor 201 may be a multiprocessor including a plurality of processing elements. The processor 201 is, for example, a CPU, a DSP, an ASIC, or an FPGA. Also, the processor 201 may be a combination of two or more elements of a CPU, a DSP, an ASIC, an FPGA, and the like.

  The RAM 202 is a main storage device of the temperature sensor 200. The RAM 202 temporarily stores at least a part of firmware and application programs to be executed by the processor 201. The RAM 202 also stores various data used for processing by the processor 201.

  The flash memory 203 is an auxiliary storage device of the temperature sensor 200. The flash memory 203 stores a firmware program, an application program, and various data.

The sensor unit 204 is a device that measures a physical quantity. The sensor unit 204 measures the ambient temperature, and outputs the measurement result to the processor 201.
The communication interface 205 communicates with the gateway 100 via the network 10. The communication interface 205 may be a wired communication interface or a wireless communication interface.

In addition, the measurement object by the sensor part of smart outlet 300, 300a is power consumption.
FIG. 5 shows an example of the hardware of the air conditioner according to the second embodiment. The air conditioner 400 has a processor 401, a RAM 402, a flash memory 403 and a communication interface 404. Each unit is connected to the air conditioner 400 bus. The push type device (for example, TV receiver 500) other than the air conditioner 400 can also implement the communication control function with the gateway 100 by the same hardware as the air conditioner 400.

  The processor 401 controls the entire air conditioner 400. The processor 401 may be a multiprocessor including a plurality of processing elements. The processor 401 is, for example, a CPU, a DSP, an ASIC, or an FPGA. Also, the processor 401 may be a combination of two or more elements of a CPU, a DSP, an ASIC, an FPGA, and the like.

  The RAM 402 is a main storage device of the air conditioner 400. The RAM 402 temporarily stores at least part of firmware and application programs to be executed by the processor 401. The RAM 402 also stores various data used for processing by the processor 401.

  The flash memory 403 is an auxiliary storage device of the air conditioner 400. The flash memory 403 stores a firmware program, an application program, and various data.

  The communication interface 404 communicates with the gateway 100 via the network 10. The communication interface 404 may be a wired communication interface or a wireless communication interface.

  FIG. 6 is a diagram illustrating an example of hardware of a server according to the second embodiment. The server 600 includes a processor 601, a RAM 602, an HDD 603, an image signal processing unit 604, an input signal processing unit 605, a medium reader 606, and a communication interface 607. Each unit is connected to the server 600 bus.

  The processor 601 controls the entire server 600. The processor 601 may be a multiprocessor including a plurality of processing elements. The processor 601 is, for example, a CPU, a DSP, an ASIC, or an FPGA. Also, the processor 601 may be a combination of two or more elements of a CPU, a DSP, an ASIC, an FPGA, and the like.

  A RAM 602 is a main storage device of the server 600. The RAM 602 temporarily stores at least a part of an OS program and application programs to be executed by the processor 601. The RAM 602 also stores various data used for processing by the processor 601.

  The HDD 603 is an auxiliary storage device of the server 600. The HDD 603 magnetically writes data to and reads data from the built-in magnetic disk. The HDD 603 stores an OS program, an application program, and various data. The server 600 may include other types of secondary storage such as flash memory and SSD, and may include multiple secondary storages.

  The image signal processing unit 604 outputs an image to the display 11 connected to the server 600 in accordance with an instruction from the processor 601. As the display 11, various displays such as a CRT (Cathode Ray Tube) display, a liquid crystal display (LCD: Liquid Crystal Display), and an organic EL (Electro-Luminescence) display can be used.

  The input signal processing unit 605 acquires an input signal from the input device 12 connected to the server 600, and outputs the input signal to the processor 601. As the input device 12, various input devices such as a pointing device such as a mouse and a touch panel and a keyboard can be used. Multiple types of input devices may be connected to the server 600.

  The medium reader 606 is a device that reads a program or data recorded on the recording medium 13. As the recording medium 13, for example, a magnetic disk such as a flexible disk (FD: Flexible Disk) or HDD, an optical disk such as a CD (Compact Disc) or a DVD (Digital Versatile Disc), a magneto-optical disk (MO: Magneto-Optical disk) It can be used. Further, as the recording medium 13, for example, a non-volatile semiconductor memory such as a flash memory card can be used. The medium reader 606 stores the program or data read from the recording medium 13 in the RAM 602 or the HDD 603 according to an instruction from the processor 601, for example.

  The communication interface 607 communicates with the gateway 100 via the network 20. The communication interface 607 may be a wired communication interface or a wireless communication interface. For example, the server 600 can transmit the program read from the recording medium 13 to the gateway 100.

  FIG. 7 is a diagram illustrating an example of a function of the gateway according to the second embodiment. The gateway 100 includes a storage unit 110, a push reception unit 120, a data acquisition unit 130, a determination unit 140, a reservation unit 150, and an application 160.

  The storage unit 110 is mounted, for example, as a storage area secured in the RAM 102 or the HDD 103. The push reception unit 120, the data acquisition unit 130, the determination unit 140, and the reservation unit 150 are implemented, for example, as modules of a program executed by the processor 101.

  The storage unit 110 stores a history table, a variance value table, a timing management table, and a reservation table. The history table is information on the history of data acquired from devices such as the temperature sensor 200, the smart outlets 300 and 300a, the air conditioner 400, and the TV receiver 500. The dispersion value table is information indicating dispersion values (dispersion values of time difference) as an index for evaluating the relationship between the timing of data acquisition from the push device and the timing of data change in the on-demand device. . The timing management table is information on timing for acquiring data from the on-demand type device. The reservation table is information on the notification reservation of data to the application 160.

  The gateway 100 performs two-stage processing of preparation processing and operation processing. The push reception unit 120, the data acquisition unit 130, and the determination unit 140 execute preparation processing. The push reception unit 120, the data acquisition unit 130, and the reservation unit 150 execute an operation process. The preparation process is performed during a predetermined period (for example, several hours) before the start of production operation.

  The push receiving unit 120 receives, from the push-type device, a notification that the state of the push-type device has changed. The notification is data sent from the push device. The notification includes identification information of the push device. The push receiving unit 120 registers the content of the received notification in the history table in association with the identification information of the push type device and the reception time.

  In the preparation process, the data acquisition unit 130 periodically transmits a data acquisition request to the on-demand device, and acquires data from the on-demand device. The acquired data includes identification information of the on-demand device. The data acquisition unit 130 registers the acquired data in the history table in association with the identification information of the on-demand type device and the reception time. The data acquisition unit 130 acquires data from the on-demand type device at the timing determined by the determination unit 140 in the operation processing.

  The determination unit 140 determines the timing of acquiring data from the on-demand device. The said timing is determined with respect to the notification timing from a trigger device. The trigger device is a device that notifies an event that triggers acquisition of data from the on-demand device. In the second embodiment, a push device is a candidate for a trigger device, but a device other than a push device may be a candidate for a trigger device.

  The determination unit 140 determines, on the basis of the history table, an on-demand type device in which acquired data changes a predetermined time after notification timing by the trigger device, and a time until the data change. The determination unit 140 registers the determined identification information of the on-demand type device and the time until the change of the data in the timing management table in association with the identification information of the trigger device. That is, the timing when the time registered in the timing management table has passed since the notification from the trigger device is the timing for acquiring data from the corresponding on-demand device.

  The reservation unit 150 receives a reservation event from the application 160. The reservation event is an event for reserving notification of a change in data value measured by the on-demand device. The reservation unit 150 registers the reservation content received from the application 160 in the reservation table. When it is determined that the data acquired by the data acquisition unit 130 from the on-demand type device is changed, the reservation unit 150 notifies the application 160 to that effect.

  The application 160 is an application (for example, a Web application) that gives various instructions to the air conditioner 400 and the TV receiver 500. For example, the application 160 instructs the air conditioner 400 to switch to the power saving mode based on the value of the temperature acquired from the reservation unit 150. In addition, the application 160 notifies the client terminal of data values (for example, temperature and power) measured by the on-demand type device, advice on energy saving, and the like.

  The application 160 may be installed in a device other than the gateway 100. For example, the application 160 may be executed by a server computer connected to the network 20.

  FIG. 8 is a diagram showing a function example of the temperature sensor according to the second embodiment. The temperature sensor 200 includes a storage unit 210, a transmission / reception unit 220, and a measurement unit 230. The storage unit 210 is implemented, for example, as a storage area secured in the RAM 202 or the flash memory 203. The transmission / reception unit 220 and the measurement unit 230 are implemented, for example, as modules of a program that the processor 201 executes.

The storage unit 210 stores setting information used for the operation of the temperature sensor 200 and information of a history of temperature measured by the measurement unit 230.
The transmission and reception unit 220 receives a data acquisition request from the gateway 100. The transmission / reception unit 220 transmits information on the current temperature measured by the measurement unit 230 to the gateway 100 in response to the data acquisition request.

The measurement unit 230 measures the ambient temperature using the sensor unit 204 and stores the temperature in the storage unit 210.
Smart outlets 300 and 300a also have the same function as temperature sensor 200. However, the measurement target by the measurement unit of the smart outlet 300, 300a is the power consumption.

  FIG. 9 is a diagram showing an example of the function of the air conditioner according to the second embodiment. The air conditioner 400 has a storage unit 410, a push transmission unit 420, and a detection unit 430. The storage unit 410 is mounted as, for example, a storage area secured in the RAM 402 or the flash memory 403. The push transmission unit 420 and the detection unit 430 are implemented, for example, as modules of a program that the processor 401 executes.

The storage unit 410 stores setting information used for the operation of the air conditioner 400.
The push transmission unit 420 pushes and transmits data indicating the change of the state to the gateway 100 according to the change of the state of the air conditioner 400 (for example, the change of the power on / off or the change of the operation mode).

The detection unit 430 detects a change in the state of the air conditioner 400. The detection unit 430 causes the push transmission unit 420 to execute push transmission in response to the detection of the change of the state.
The TV receiver 500 also has the same function as the air conditioner 400.

  FIG. 10 is a diagram illustrating an example of a packet according to the second embodiment. The packet 30 is an example of a packet transmitted from each device to the gateway 100 or from the gateway 100 to each device.

  The packet 30 includes a destination device ID (IDentifier), a transmission source device ID, and a payload. The destination device ID stores the ID of the destination device or gateway. The transmission source device ID stores the ID of the transmission source device or gateway. The destination device ID and the source device ID may be information of an address assigned to the device or the gateway. The payload stores information to be transmitted from each device to the gateway 100 or from the gateway 100 to each device.

  FIG. 11 is a diagram illustrating an example of a history table according to the second embodiment. The history table 111 is stored in the storage unit 110. The history table 111 includes items of device ID, data type, data value, and time.

  In the item of device ID, information for identifying a device is registered. In the item of data type, information indicating the type of data is registered. In the item of data value, a data value corresponding to the item of data type is registered. The time is registered in the item of time.

  For example, in the history table 111, information in which the device ID is “temp_sensor”, the data type is “temperature”, the data value is “16.5”, and the time is “2015/01/30 10:00:00” is registered. Ru.

  This indicates that the information that the temperature (“temperature”) is 16.5 ° C. is acquired from the temperature sensor 200 (“temp_sensor”) at 10:00:00 on Jan. 30, 2015.

  Further, for example, in the history table 111, information is registered that the device ID is “airconditioner”, the data type is “status”, the data value is “on”, and the time is “2015/01/30 10:02:15”. Ru.

  This is that information was acquired from the air conditioner 400 ("airconditioner") at 10:02:15 on January 30, 2015 that the current status ("status") was turned on ("on"). Indicates

  FIG. 12 is a diagram showing an example of the distributed value table according to the second embodiment. The variance value table 112 is stored in the storage unit 110. The dispersion value table 112 includes items of data type and dispersion value.

  In the item of data type, information indicating the type of data is registered. In the item of variance value, information indicating a variance value serving as a threshold is registered. The threshold is an index for evaluating the relationship between the acquisition timing of data from the push-type device and the timing of change of measurement data in the on-demand type device. When sampling a plurality of time differences between both timings and the variation of the time differences is relatively small (ie, the variance is less than the threshold), the timing of acquiring data from the push device and the measurement in the on-demand device It can be evaluated that there is a relationship with the timing of change of data.

For example, in the dispersion value table 112, information having a data type “temperature” and a dispersion value “R1” is registered.
FIG. 13 is a diagram illustrating an example of the timing management table according to the second embodiment. The timing management table 113 is stored in the storage unit 110. The timing management table 113 includes items of device ID, acquired data type, trigger device ID, trigger data type, trigger data value, and waiting time.

  In the item of device ID, information for identifying a device is registered. Information indicating the type of data is registered in the item of acquired data type. In the item of the trigger device ID, information for identifying a device is registered. In the item of trigger data type, information indicating the type of data (trigger data) to be a trigger is registered. In the item of trigger data value, data values of trigger data are registered. In the item of latency, the latency from reception of a notification from the trigger device to transmission of a data acquisition request to the on-demand device is registered.

  For example, in the timing management table 113, the device ID is "temp_sensor", the acquired data type is "temperature", the trigger device ID is "airconditioner", the trigger data type is "status", the trigger data value is "on", and the waiting time is The information "2:10" is registered.

  This is because the temperature sensor 200 ("" after waiting for 2 minutes and 10 seconds after acquiring information from the air conditioner 400 ("air conditioner") that the current status ("status") is power ON ("on"). “temp_sensor” indicates that a request for acquiring temperature (“temperature”) data is sent.

  FIG. 14 is a diagram showing an example of a reservation table according to the second embodiment. The reservation table 114 is stored in the storage unit 110. The reservation table 114 includes items of service ID, device ID, notification data, and notification destination URL (Uniform Resource Locator).

  Information for identifying a service is registered in the item of service ID. In the item of device ID, information for identifying a device is registered. Information indicating the type of data to be notified is registered in the item of notification data. In the item of the notification destination URL, a URL indicating a Web application (for example, the application 160) of the notification destination is registered. As mentioned above, the application indicated by the URL may be the application 160 or an application executed on another server computer.

  For example, in the reservation table 114, information in which the service ID is "energy_saving", the device ID is "outlet", the notification data is "power", and the notification destination URL is "http://www.foo.com/notify/" be registered.

  This is because, in the case of a power saving service (“energy_saving”), when a change occurs in the power (“power”) measured by the power sensor built in the smart outlet 300 (“outlet”), “http Indicate that the notification should be sent to: //www.foo.com/notify/ ".

  FIG. 15 is a diagram showing a specific example of the preparation process of the second embodiment. In FIG. 15, the data acquisition unit 130 periodically acquires data from the on-demand type device (for example, the temperature sensor 200), and the push reception unit 120 receives the push notification from the push type device (for example, the air conditioner 400). The case is shown.

  The data acquisition unit 130 periodically transmits a data acquisition request to the on-demand type device. Then, the data acquisition unit 130 acquires data from the on-demand type device at each timing of time T0 to T15 (the illustration of time T7 to T9 is omitted). If the on-demand device is the temperature sensor 200, the acquired data includes information on the current temperature measured by the temperature sensor 200. In the example of FIG. 15, the data value at time T4 and the data value at time T13 are changed by a predetermined amount or more compared to the data value acquired at the immediately preceding time (the predetermined amount corresponds to the data change to be observed) (Predetermined).

  The push receiving unit 120 receives the notification from the push-type device at time Tp1. For example, if the push-type device is the air conditioner 400, the notification that the cooling has been activated is received. Also, the push receiving unit 120 receives the notification from the push-type device at time Tp11. For example, if the push-type device is the air conditioner 400, the notification that the cooling has been activated is received.

  The above information is registered in the history table 111. The determination unit 140 refers to the history table 111 and identifies an on-demand type device (for example, the temperature sensor 200) whose data value changes in a period from time Tp1 to time Tp2 after time ΔTa. The determination unit 140 specifies the time T4 at which the changed data value is acquired from the on-demand type device.

  Similarly, the determination unit 140 refers to the history table 111 and specifies an on-demand type device (for example, the temperature sensor 200) whose data value changes in a period from time Tp11 to time Tp12 after time ΔTa. The determination unit 140 specifies a time T13 at which the changed data value is acquired from the on-demand type device.

  Thus, the determination unit 140 identifies a set of push-type device and on-demand type device to be evaluated. When the determination unit 140 can sample a certain number or more of a set of a push device and an on-demand device, the determination unit 140 acquires the time when the notification is received from the push device and the changed data value from the on-demand device Calculate the time difference with the time. For example, the determination unit 140 calculates a time difference ΔTop1 between time T4 and time Tp1. The determination unit 140 calculates a time difference ΔTop2 between time T13 and time Tp11. Then, the determination unit 140 calculates the average value ΔTop and the variance value R using the calculated time difference. Here, the average value of the time difference of each set is taken as time ΔTop. When the dispersion value R is equal to or less than the value registered in the dispersion value table 112, the determination unit 140 determines that the time ΔTop after acquiring the data from the push type device is the timing of acquiring data from the on-demand type device. It is determined that it has passed.

  Next, the procedure of preparation processing by the gateway 100 will be described. First, the procedure for periodically acquiring data from the on-demand type device will be described with reference to FIG. 16, and next, the procedure for the case where notification is received from the push type device will be described with reference to FIG. The processes of FIGS. 16 and 18 shown below are executed in parallel.

FIG. 16 is a flowchart of an example (part 1) of the preparation process according to the second embodiment. The process shown in FIG. 16 will be described below in order of step number.
(S11) The data acquisition unit 130 determines whether a timer for determining a time interval for acquiring data from the on-demand type device has expired. If the timer has expired, the process proceeds to step S12. If the timer has not expired, step S11 is repeated (ie, wait until the timer expires). The value of the timer is, for example, 10 seconds. The value of the timer may be different for each on-demand device.

  (S12) The data acquisition unit 130 transmits a data acquisition request to the on-demand type device. The data acquisition unit 130 acquires data from the on-demand type device as a response to the acquisition request. The acquired data includes a device ID, a data type, and a data value.

(S13) The data acquisition unit 130 registers the acquired data in the history table 111. Further, the data acquisition unit 130 registers the time when the data is acquired in the history table 111.
(S14) The data acquisition unit 130 sets a timer set in the on-demand type device. Thereby, the data acquisition unit 130 starts time measurement again by the timer. Then, the process proceeds to step S11.

  FIG. 17 is a flowchart illustrating an example of processing of the on-demand type device according to the second embodiment. Hereinafter, the process shown in FIG. 17 will be described in order of step number. Although the temperature sensor 200 is illustrated in FIG. 17, the same procedure is performed for the smart outlets 300 and 300 a.

(S101) The transmission and reception unit 220 receives a data acquisition request from the gateway 100.
(S102) The measurement unit 230 causes the sensor unit 204 to acquire the measurement result of the temperature in response to the data acquisition request.

(S103) The transmitting and receiving unit 220 transmits the data of the temperature acquired by the measuring unit 230 to the gateway 100.
In the case of the smart outlet 300, 300a, information on the amount of power consumption is transmitted to the gateway 100.

FIG. 18 is a flowchart of an example (part 2) of the preparation process according to the second embodiment. Hereinafter, the process shown in FIG. 18 will be described in order of step number.
(S21) The push receiving unit 120 determines whether a notification has been received from any push-type device. If a notification has been received from the push-type device, the process proceeds to step S22. If the notification has not been received from the push-type device, step S21 is repeated (waits until the notification is received). The contents of the notification received from the push type device include a device ID, a data type, and a data value.

  (S22) The push receiving unit 120 registers the content of the received notification in the history table 111. Further, the push receiving unit 120 registers the time when the notification is received in the history table 111. The push receiving unit 120 instructs the determining unit 140 to execute the determination of the data acquisition timing.

  (S23) The determination unit 140 waits for a time ΔTa. The time ΔTa may be, for example, several seconds or several minutes. The time ΔTa can be determined according to the monitoring target. After the time ΔTa elapses, the determination unit 140 refers to the history table 111 and identifies an on-demand type device in which the data value changes in a period from the notification of the push type device to the elapse of the time ΔTa. For example, the determination unit 140 determines that there is a change in the data value when the data value acquired this time from the on-demand type device changes by a predetermined ratio or more than the data value acquired last time (I would like to observe the information of the ratio) It is stored in advance in the storage unit 110 according to the data change). That is, the determination unit 140 considers that the change smaller than the predetermined ratio is not changed. Thus, the determination unit 140 determines a combination of the push-type device and the contents of the notification from the push-type device and the on-demand type device in which the data value changes within the time ΔTa from the notification.

  (S24) The determination unit 140 determines whether the number of sets determined in step S23 is equal to or more than a predetermined number. If there is a predetermined number or more, the process proceeds to step S25. If not, the process proceeds to step S21. The predetermined number is, for example, predetermined as a number that can ensure statistical accuracy (may be about 10 pairs). In the example of the air conditioner 400 and the temperature sensor 200, the determining unit 140 receives an event when the data value "on" is received from the air conditioner 400, and data from the temperature sensor 200 within a predetermined time ΔTa from the event. It is determined whether there is a predetermined number or more of pairs with events.

  (S25) The determination unit 140 refers to the history table 111, and calculates, for each set, a time difference between the time when the notification is received from the push device and the time when the changed data value is acquired from the on-demand device. For example, the determination unit 140 calculates a time difference between the time registered in the history table 111 in step S22 and the time when the data value of the on-demand device identified in step S23 changes. The time difference is similarly calculated for the other sets of the push device and the on-demand device. The determination unit 140 calculates an average value and a variance value of the time difference based on the calculated time difference of each set.

  (S26) The determination unit 140 determines whether the calculated variance is equal to or less than the value (threshold) of the variance table 112 with reference to the variance table 112. If the variance value is less than or equal to the threshold value, the process proceeds to step S27. If the variance value is not equal to or less than the threshold value, the process proceeds to step S21. For example, when the on-demand type device specified in step S23 is the temperature sensor 200, the determination unit 140 refers to the dispersion value table 112 and determines whether the dispersion value calculated using the time difference of each set is equal to or less than the threshold R1. Determine if If not, the process proceeds to step S27. If it is not the threshold value R1 or less, the process ends.

  (S27) The determination unit 140 registers, in the timing management table 113, information on a combination of a push type device and an on-demand type device. Specifically, the determination unit 140 registers the device ID of the on-demand device identified in step S23 and the type of data transmitted by the on-demand device in the device ID of the timing management table 113 and the acquired data type. In addition, the determination unit 140 registers the device ID of the push-type device notified in step S21 in the trigger device ID of the timing management table 113. The determination unit 140 registers the data type and data value received in step S21 in the trigger data type and trigger data value of the timing management table 113. Further, the determination unit 140 registers the average value calculated in step S25 in the waiting time of the timing management table 113. Then, the process proceeds to step S21.

  As described above, after a predetermined number of sets of push devices and on-demand devices are set, timing for acquiring data from the on-demand devices is determined based on the time difference between the sets.

  If the number of sets of push devices and on-demand devices is equal to or greater than a predetermined number, the determination unit 140 repeats the process of FIG. 18 to update the timing of acquiring data from the on-demand devices for the sets. Thereby, the determination accuracy of the said timing can be improved. However, the determination unit 140 may perform control so that the process after step S23 is not performed for the groups registered in the timing management table 113.

  Next, the operation processing will be described. As described above, after executing the preparation process for a predetermined period, the gateway 100 ends the execution of the preparation process and starts executing the operation process. First, referring to FIG. 19, a procedure for receiving a reservation event from the application 160 will be described. Next, the procedure when a notification is received from a push-type device will be described with reference to FIG. The processing of FIGS. 19 and 20 shown below is executed in parallel.

FIG. 19 is a flowchart of an operation processing example (part 1) of the second embodiment. Hereinafter, the process shown in FIG. 19 will be described in order of step number.
(S31) The reservation unit 150 determines whether a reservation event has been received from the application 160. If a reservation event has been received, the process proceeds to step S32. If the reservation event has not been received, step S31 is repeated (waiting for reception of the reservation event). Here, the reservation event by the application 160 includes service ID, device ID, notification data, and information of notification destination URL.

(S32) The reservation unit 150 registers information on a reservation event in the reservation table 114. Then, the process proceeds to step S31.
FIG. 20 is a flowchart of an operation processing example (part 2) of the second embodiment. Hereinafter, the process shown in FIG. 20 will be described in order of step number.

  (S41) The push receiving unit 120 determines whether a notification has been received from any push-type device. If a notification has been received from the push-type device, the process proceeds to step S42. If the notification has not been received from the push-type device, step S41 is repeated (waits until the notification is received). The contents of the notification received from the push type device include a device ID, a data type, and a data value.

  (S42) The push receiving unit 120 registers the content of the received notification and the received time in the history table 111. The push receiving unit 120 instructs the data acquisition unit 130 to execute the determination as to whether or not the push-type device of the notification source in step S41 is a trigger device.

  (S43) The data acquisition unit 130 determines whether the push-type device of the notification source in step S41 is a trigger device. If it is a trigger device, the process proceeds to step S44. If the device is not a trigger device, the process proceeds to step S41. Specifically, when the device ID of the notification content in step S41, the data type and the data value match the combination of the trigger device ID, the trigger data type and the trigger data value registered in the timing management table 113, the notification source Push-type devices are trigger devices. If they do not match, the push source device of the notification source is not the trigger device.

  (S44) The data acquisition unit 130 refers to the waiting time in the timing management table 113, and waits until the waiting time elapses. After the waiting time, the data acquisition unit 130 transmits an acquisition request for data corresponding to the acquired data type of the timing management table 113 to the on-demand type device indicated by the device ID of the timing management table 113.

  (S45) The data acquisition unit 130 receives a response from the on-demand type device in response to the data acquisition request. The response includes the device ID, data type and data value. The data acquisition unit 130 registers the content of the response in the history table 111. Further, the data acquisition unit 130 registers the time when the response is received in the history table 111.

  (S46) The data acquisition unit 130 refers to the history table 111, compares the data value received in step S45 with the data value acquired last time from the on-demand type device, and determines whether or not it has changed. Do. For example, as in step S23, it may be determined that there is a change in data when it changes by a predetermined ratio or more than the previously acquired data value. If it has changed, that is notified to the reservation unit 150. Then, the process proceeds to step S47. If not, the process proceeds to step S41.

  (S47) The reservation unit 150 refers to the device ID and notification data in the reservation table 114, and determines whether the device ID (on-demand type device) and data type of the response content in step S45 are registered in the reservation table 114 or not. judge. If registered, the process proceeds to step S48. If not registered, the process proceeds to step S41.

  (S48) The reservation unit 150 refers to the notification destination URL in the reservation table 114, and transmits the data value of the response received in step S45 to the notification destination. Then, the process proceeds to step S41.

  Thus, the gateway 100 discovers an on-demand type device whose value changes within a certain period of time from notification of value change from the push type device. After that, when the gateway 100 receives a push-type device change notification, the gateway 100 waits for the period and acquires data from the discovered on-demand device.

  As a result, for example, data after change can be acquired more efficiently than when continuous (or relatively small change) data is continuously acquired from the temperature sensor 200 or the smart outlet 300 in a constant cycle. Since the frequency of acquiring data from the temperature sensor 200 or the smart outlet 300 can be reduced, the load of a network or the like used for communication between the gateway 100 and the temperature sensor 200 or the smart outlet 300 can be reduced. Furthermore, by reducing the frequency of communication, power consumption by the gateway 100, the temperature sensor 200 or the smart outlet 300 can also be reduced.

As described above, according to the gateway 100, while reducing the load on the system, it is possible to obtain the value after change of the on-demand device without delay.
At the stage of preparation processing, there may be an on-demand type device that is not associated with any trigger device. For such an on-demand device, the gateway 100 will obtain data in the operation phase by the same procedure as the procedure exemplified in FIG.

Third Embodiment
Next, a third embodiment will be described. Matters different from the second embodiment described above will be mainly described, and description of matters in common will be omitted.

  In the second embodiment, an example has been shown in which the trigger device is determined by statistical processing from the history of data acquired from each device. On the other hand, in the third embodiment, the gateway 100 provides a function of confirming whether or not there is a change in measurement data of the on-demand device in response to acquisition of data from the push device.

  Here, the information processing system of the third embodiment is the same as the information processing system of the second embodiment shown in FIG. The devices and functions included in the information processing system of the third embodiment are the same as the devices and functions of the second embodiment shown in FIGS. Therefore, in the third embodiment, the same reference numerals and names as in the second embodiment are used. In the third embodiment, in addition to the table exemplified in the second embodiment, a trigger immediate decision control table is further used.

  FIG. 21 is a diagram illustrating an example of the trigger immediate determination control table according to the third embodiment. The trigger immediate determination control table 115 is stored in the storage unit 110. The trigger immediate determination control table 115 includes items of device type, data type, data value and trigger immediate determination.

  Information indicating a push type device is registered in the item of the device type. In the item of data type, information indicating the type of data is registered. In the item of data value, a data value corresponding to the item of data type is registered. In the item of trigger immediate determination, information indicating whether or not to be a target of immediate determination of the trigger device is registered.

  For example, in the trigger immediate determination control table 115, information in which the device type is "airconditioner", the data type is "status", the data value is "on", and the trigger immediate determination is "Yes" is registered.

  This indicates that when the data type "status" and the data value notified from the air conditioner 400 ("airconditioner") and the data value are "on", the air conditioner 400 is to be the immediate target of the trigger device ("Yes") .

  Further, in the trigger immediate determination control table 115, information is registered that the device type is “airconditioner”, the data type is “status”, the data value is “off”, and the trigger immediate determination is “No”.

  This indicates that when the data type “status” notified from the air conditioner 400 (“airconditioner”) and the data value are “off”, the air conditioner 400 is not to be an object of immediate determination of the trigger device (“No”). .

  Next, the procedure of the preparation process of the third embodiment will be described (the procedure of the operation process is the same as that of the second embodiment). The procedure of the preparation process of the third embodiment is partially different from the procedure of the preparation process of the second embodiment described in FIG.

  FIG. 22 is a flowchart illustrating an example of preparation processing according to the third embodiment. Hereinafter, the process shown in FIG. 22 will be described in order of step number. In the third embodiment, steps S22a, S22b, and S22c are added after step S22 in the procedure shown in FIG. So, below, step S22a, S22b, S22c is demonstrated, and description of another step is abbreviate | omitted.

  (S22a) Based on the trigger immediate determination control table 115 and the device ID of the push device notified in step S21, the data type, and the data value, the determining unit 140 is the target of the immediate determination of the trigger device. It is determined whether or not to. If the target is to be determined immediately, the process proceeds to step S22b. If it is not to be determined immediately, the process proceeds to step S23.

  (S22b) The determination unit 140 transmits a data acquisition request to the on-demand type device. Here, the transmission destination may be all on-demand devices or may be predetermined on-demand devices. The acquisition request for the plurality of types of data is transmitted to the on-demand type device that measures the plurality of types of data. The determination unit 140 receives a response to the acquisition request from the on-demand device. The contents of the response include the device ID, data type, and data value. The determination unit 140 registers the content of the response in the history table 111. Further, the determination unit 140 registers the time when the response is received in the history table 111.

  (S22c) The determination unit 140 refers to the history table 111, and for each on-demand device, the data value acquired in step S22b and the data value acquired from the on-demand device at a time before step S22b. Compare with. In accordance with the comparison, the determination unit 140 determines whether there is an on-demand type device in which the data value is changing. If it exists, the process proceeds to step S27. If not, the process proceeds to step S21. When multiple types of data are acquired from one on-demand type device, it is determined whether or not there is a change for each type of data. For example, as in step S23, it may be determined that there is a change in data when it has changed by a predetermined ratio or more than the previously acquired data value.

  FIG. 23 is a diagram showing an example of the timing management table according to the third embodiment. The timing management table 113a illustrates some of the contents registered by the preparation process of the third embodiment described with reference to FIG.

  For example, in the timing management table 113a, the device ID is "outlet", the acquired data type is "power", the trigger device ID is "television", the trigger data type is "status", the trigger data value is "on", and the waiting time is Information is registered as "0:00".

  This is because 0 seconds have elapsed since the push receiving unit 120 acquires information that the current status (“status”) is power ON (“on”) from the TV receiver 500 (“television”) It indicates that the data acquisition unit 130 transmits the acquisition request of data of power ("power") to the smart outlet 300 ("outlet").

  Thus, upon receiving a notification from a push-type device, the gateway 100 may immediately make a determination of a trigger device. In the example of the TV receiver 500 and the smart outlet 300, when the power of the TV receiver 500 is turned on, the determination unit 140 acquires the data value from the smart outlet 300 immediately. If the data acquired this time from the smart outlet 300 is changing with respect to the data value acquired last time from the smart outlet 300, the determination unit 140 converts the power ON event of the TV receiver 500 from the smart outlet 300 Decide as a trigger to acquire Thus, immediately after the TV receiver 500 is turned on, the measurement data of the smart outlet 300 can be properly acquired.

Fourth Embodiment
Next, a fourth embodiment will be described. Matters different from the second embodiment described above will be mainly described, and description of matters in common will be omitted.

  Depending on the notification content of the push-type device, it may not be desirable to use the push-type device as a trigger device. For example, it may not be necessary to obtain information on the temperature after the air conditioner 400 is turned off. Therefore, a function is provided to select whether or not to determine the trigger device based on the notification content of the push-type device.

  Here, the information processing system of the fourth embodiment is the same as the information processing system of the second embodiment shown in FIG. The devices and functions included in the information processing system of the fourth embodiment are the same as the devices and functions of the second embodiment shown in FIGS. Therefore, in the fourth embodiment, the same reference numerals and names as in the second embodiment are used. Further, in the fourth embodiment, in addition to the table exemplified in the second embodiment, the trigger determination control table is further used.

  FIG. 24 is a diagram showing an example of a trigger determination control table according to the fourth embodiment. The trigger determination control table 116 is stored in the storage unit 110. The trigger determination control table 116 includes items of device type, data type, data value, and trigger determination.

  Information indicating a push type device is registered in the item of the device type. In the item of data type, information indicating the type of data is registered. In the item of data value, a data value corresponding to the item of data type is registered. In the item of trigger determination, information indicating whether or not to make a push-type device the target of determination processing of a trigger device (whether or not to make a trigger candidate) is registered for data type and data value.

  For example, in the trigger determination control table 116, information in which the device type is “airconditioner”, the data type is “status”, the data value is “on”, and the trigger determination is “Yes” is registered.

  In this case, when the content notified from the air conditioner 400 (“airconditioner”) is the data type “status” and the data value “on”, the trigger device determination processing based on the notification content from the air conditioner 400 is performed (“Yes Indicates ").

  For example, in the trigger determination control table 116, information in which the device type is "airconditioner", the data type is "status", the data value is "off", and the trigger determination is "No" is registered.

  This is because, when the content notified from the air conditioner 400 ("airconditioner") is the data type "status" and the data value "off", the trigger device determination processing based on the notification content from the air conditioner 400 is not performed (" "No" indicates.

  Next, the procedure of the preparation process of the fourth embodiment will be described (the procedure of the operation process is the same as that of the second embodiment). The procedure of the preparation process of the fourth embodiment is partially different from the procedure of the preparation process of the second embodiment described in FIG.

  FIG. 25 is a flowchart illustrating an example of preparation processing according to the fourth embodiment. Hereinafter, the process shown in FIG. 25 will be described in order of step number. The fourth embodiment is different from the procedure of FIG. 18 in that step S22 d is performed after step S22. So, below, step S22 d is explained and explanation of other steps is omitted.

  (S22d) The determination unit 140 refers to the item of trigger determination in the trigger determination control table 116, and determines the trigger device based on the device ID of the push-type device that has received the notification in step S21, the data type and the data value. It is determined whether or not. If so, the process proceeds to step S23. If not determined, the process proceeds to step S21.

  Thus, based on the contents registered in the trigger determination control table 116, the determination unit 140 controls not to determine the trigger device for a specific type of data value from a specific push-type device. Can. As a result, it is not necessary to obtain data from the on-demand device that does not require monitoring in operation. That is, acquisition of unnecessary data from the on-demand type device can be suppressed, and data acquisition can be made more efficient.

Fifth Embodiment
Next, a fifth embodiment will be described. Matters different from the second embodiment described above will be mainly described, and description of matters in common will be omitted.

  In the fifth embodiment, a function is provided which allows the user to select whether or not to acquire data from the on-demand device even after the trigger device has been determined. For example, even if it is an on-demand type device that initially acquired data in response to a notification from a trigger device, data acquisition triggered by a push type device, such as switching to periodic data acquisition during operation, etc. May be unnecessary.

  Here, the information processing system of the fifth embodiment is the same as the information processing system of the second embodiment shown in FIG. The devices and functions included in the information processing system of the fifth embodiment are the same as the devices and functions of the second embodiment shown in FIGS. Therefore, in the fifth embodiment, the same reference numerals and names as in the second embodiment are used. Further, in the fifth embodiment, an on-demand acquisition control table is further used in addition to the table exemplified in the second embodiment.

  FIG. 26 is a diagram illustrating an example of the on-demand acquisition control table according to the fifth embodiment. The on-demand acquisition control table 117 is stored in the storage unit 110. The on-demand acquisition control table 117 includes items of device type, data type, data value, and on-demand acquisition.

  Information indicating a push type device is registered in the item of the device type. In the item of data type, information indicating the type of data is registered. In the item of data value, a data value corresponding to the item of data type is registered. In the item of on-demand acquisition, information indicating the necessity of a data acquisition request to the on-demand type device is registered.

  For example, in the on-demand acquisition control table 117, information is registered that the device type is “airconditioner”, the data type is “status”, the data value is “on”, and the on-demand acquisition is “Yes”.

  This indicates that in the case of the data type “status” and the data value “on” notified from the air conditioner 400 (“airconditioner”), the data acquisition request is transmitted to the on-demand type device (“Yes”).

  For example, in the on-demand acquisition control table 117, information is registered that the device type is “airconditioner”, the data type is “status”, the data value is “off”, and the on-demand acquisition is “No”.

  This is because, in the case of the data type “status” and the data value “off” notified from the air conditioner 400 (“airconditioner”), even if the air conditioner 400 is a trigger device of any on-demand device, the data Indicates that the acquisition request is not sent to the on-demand device (“No”).

  Next, the procedure of the operation process of the fifth embodiment will be described (the procedure of the preparation process is the same as that of the second embodiment). The procedure of the operation process of the fifth embodiment is partially different from the procedure of the operation process of the second embodiment described with reference to FIG.

  FIG. 27 is a flowchart illustrating an example of operation processing according to the fifth embodiment. Hereinafter, the process shown in FIG. 27 will be described in order of step number. The fifth embodiment differs from the procedure of FIG. 20 in that step S43a is performed after step S43. Therefore, step S43a will be described, and the description of the other steps will be omitted.

  (S43a) The data acquisition unit 130 refers to on-demand acquisition in the on-demand acquisition control table 117, and determines the on-demand device based on the device ID of the push-type device notified in step S41, the data type, and the data value. It is determined whether or not to acquire data values from. If so, the process proceeds to step S44. If not acquired, the process proceeds to step S41.

  Thus, based on the contents registered in the on-demand acquisition control table 117, the data acquisition unit 130 controls not to transmit a data acquisition request to the on-demand type device.

  According to the fifth embodiment, even if a certain push-type device is determined as a trigger device, data acquisition from the on-demand type device can be suppressed according to the notification content of the push-type device. As a result, it is not necessary to obtain data from the on-demand type device that has no need for monitoring in operation (no need for monitoring). That is, acquisition of unnecessary data from the on-demand type device can be suppressed, and data acquisition can be made more efficient.

  The information processing of the first embodiment can be realized by causing the calculation unit 1 b to execute a program. The information processing in the second to fifth embodiments can be realized by causing the processor 101 to execute a program. The program can be recorded on a computer readable recording medium 13.

  For example, the program can be distributed by distributing the recording medium 13 in which the program is recorded. Alternatively, the program may be stored in another computer (for example, the server 600), and the program may be distributed via a network. For example, the computer may store (install) a program received from the server 600 in a storage device such as the RAM 102 or the HDD 103, and read and execute the program from the storage device.

The following appendices will be further disclosed regarding the embodiment including the first to fifth embodiments described above.
(Supplementary Note 1)
Based on the information of the history of data acquired from a plurality of devices, after acquiring data from the first device, the second device having a change in acquired data and the time until the change are determined;
The timing of acquiring data from the second device is determined to be after the time has elapsed since the acquisition of data from the first device,
A data acquisition program that performs processing.

  (Supplementary Note 2) In the determination, the time is determined based on a statistic according to a time difference between a time when data is acquired from the first device and a time when acquired data is changed from the second device. The data acquisition program according to appendix 1, wherein

(Supplementary note 3) The data acquisition program according to supplementary note 1 or 2, wherein, in the determination, when the variance of the time difference is equal to or less than a threshold, the time is an average value of the time difference.
(Supplementary Note 4) In any one of supplementary notes 1 to 3, in the determination, another device that has acquired data within a predetermined period after the time of acquiring data from the first device is the target of the determination. Data acquisition program described.

(Supplementary Note 5) In the determination, the second device and the time are determined for each type of data acquired from the first device,
The data acquisition program according to any one of appendices 1 to 4, wherein, in the determination, the timing is determined for each type of data acquired from the first device.

  (Supplementary Note 6) In the determination, when the first device is a device of a predetermined type, when data is acquired from the first device, an acquisition request for data is transmitted to a plurality of other devices, and the plurality of devices are acquired. The data acquisition program according to any one of Appendices 1 to 5, wherein data is acquired from the other device of to determine the second device.

  (Supplementary Note 7) In the determination, according to the type of data acquired from the first device, acquisition of the data from the first device, a candidate of a trigger for acquiring data from another device The data acquisition program according to any one of appendices 1 to 6, which selects whether or not to.

  (Supplementary Note 8) The determination further selects whether to acquire data from the second device at the timing according to the type of data acquired from the first device. The data acquisition program according to any one.

  (Supplementary note 9) The data acquisition program according to any one of supplementary notes 1 to 8, wherein the first device is a device that transmits data to the computer even if not requested by the computer.

(Supplementary Note 10) A storage unit that stores a history of data acquired from a plurality of devices,
Based on the information of the history of the data, after acquiring the data from the first device, the second device having the change in acquired data and the time until the change are determined, and the data from the second device is determined. A computing unit that determines the timing of acquiring the time after the time has elapsed since the acquisition of data from the first device;
An information processing apparatus having

(Supplementary Note 11)
Based on the information of the history of data acquired from a plurality of devices, after acquiring data from the first device, the second device having a change in acquired data and the time until the change are determined;
The timing of acquiring data from the second device is determined to be after the time has elapsed since the acquisition of data from the first device,
Data acquisition method.

1 information processing apparatus 1a storage unit 1b operation unit 2 first device 3 second device

Claims (9)

On the computer
Based on the information of the history of data acquired from a plurality of devices, after acquiring data from the first device, the second device having a change in acquired data and the time until the change are determined;
Generating timing management information in which the first device and the second device are associated with the determined time;
When data is acquired from the first device, the second device for data acquisition is selected based on the timing management information, and timing to acquire data from the second device is the first timing. Determining that the time has elapsed since acquiring data from the device, and acquiring data from the second device at the determined timing,
A data acquisition program that performs processing.   In the determination, the time is determined based on a statistic according to a time difference between a time when data is acquired from the first device and a time when acquired data is changed from the second device. The data acquisition program described in 1.   The data acquisition program according to claim 2, wherein, in the determination, when the variance of the time difference is equal to or less than a threshold, the time is set as an average value of the time difference.   In the determination, when the first device is a device of a predetermined type, when data is acquired from the first device, an acquisition request for data is transmitted to a plurality of other devices to transmit the plurality of other devices. The data acquisition program according to any one of claims 1 to 3, wherein the second device is determined by acquiring data from the second device.   In the determination, according to the type of data acquired from the first device, whether acquisition of the data from the first device is a candidate for a trigger for acquiring data from another device or not The data acquisition program according to any one of claims 1 to 4, wherein the data acquisition program is selected.   The method according to any one of claims 1 to 4, wherein, in the determination, whether to acquire data from the second device at the timing is further selected according to the type of data acquired from the first device. Data acquisition program described in Section.   The data acquisition program according to any one of claims 1 to 6, wherein the first device is a device that transmits data to the computer even if not requested by the computer. A storage unit that stores a history of data acquired from a plurality of devices;
After acquiring data from a first device, a second device having a change in acquired data and a time until the change are determined based on the information of the data history, and the first device and the first device are determined. When timing management information in which a second device is associated with the determined time is generated and data is acquired from the first device, the second data acquisition target is acquired based on the timing management information. Device and selecting the timing to acquire data from the second device after determining that the time has elapsed since acquiring data from the first device, and the second device at the determined timing An operation unit that acquires data from
An information processing apparatus having The computer is
Based on the information of the history of data acquired from a plurality of devices, after acquiring data from the first device, the second device having a change in acquired data and the time until the change are determined;
Generating timing management information in which the first device and the second device are associated with the determined time;
When data is acquired from the first device, the second device for data acquisition is selected based on the timing management information, and timing to acquire data from the second device is the first timing. Determining that the time has elapsed since acquiring data from the device, and acquiring data from the second device at the determined timing,
Data acquisition method.

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