JP2023026670A - Information processing apparatus, information processing program, and information processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus capable of obtaining performance data sufficient to determine the sensor node and communication status.

SOLUTION: A performance value acquisition part 12 acquires a performance value (communication performance information) relevant to the communication with a sensor node 70 and a performance value (terminal performance information) relevant to the sensor node 70. A gap existence determination part 14 determines whether the acquired performance value is included in a design range referring to design information DB 34 that stores performance range at design (design range). A data acquisition method determination unit 16 is configured so as to, if the acquired performance value deviates from the design range, change the acquisition method of performance value step by step so that the acquired performance value is included in the design range.

SELECTED DRAWING: Figure 3

COPYRIGHT: (C)2023,JPO&INPIT

Description

The present invention relates to an information processing device, an information processing program, and an information processing method.

Recently, with the expansion of IoT (Internet of Things), a wide variety of devices have come to be connected to information processing apparatuses by a wide variety of communication methods. Under such circumstances, failures (for example, device hardware failures, software failures, and communication failures) vary depending on the type of device to be connected, communication method, wireless conditions in the vicinity, applications used, and the like. Therefore, in the ever-changing IoT environment, it is important to monitor device hardware performance, software performance, communication performance, etc., and execute fault determination.

In this case, if various performance data are frequently collected in order to perform fault determination with high accuracy, the load on hardware and communication will increase. On the other hand, if various performance data are collected at a frequency that does not impose a load on hardware and communication, there is a risk that they will be insufficient for failure determination.

Conventionally, there is known a technique for realizing data collection within a transmission deadline while leveling the network load associated with data collection based on the history of communication traffic (for example, see Patent Document 1, etc.). Also, in a router node, a technology is known in which a speed (limit transfer rate) is set in advance according to the processing performance of a CPU or a communication device, and measurement intervals and transmission intervals are set based on the limit transfer rate (for example, See Patent Document 2, etc.).

As a technique for scheduling transmission from a base station to a mobile station, the technique described in Patent Document 3 or the like is known.

WO2015/107574 JP-A-2008-42458 JP 2009-153129 A

In general environments such as homes and offices, the hardware performance, software performance, communication performance, etc. of devices change from moment to moment under the influence of external disturbances (radio wave intrusion, shielding, interference, etc.). However, with the techniques disclosed in Patent Documents 1 and 2, it is not possible to collect various performance data sufficient for fault determination in consideration of the ever-changing hardware performance, software performance, communication performance, etc. of the device. .

In one aspect, an object of the present invention is to provide an information processing apparatus, an information processing program, and an information processing method capable of appropriately changing the method of acquiring performance data and the type of performance data to be acquired. .

In one aspect, an information processing device is an information processing device that communicates with a sensor node to receive sensor acquisition data acquired by the sensor node, and the information processing device communicates with the sensor node to indicate a state of communication with the sensor node. a determination unit that determines whether the communication performance data is within a predetermined range based on the performance data; and if the communication performance data is not within the predetermined range, the communication performance data is included within the predetermined range. a changing unit for changing the acquisition interval of the sensor acquired data in the sensor node or the type of the sensor acquired data received by the information processing device; and a communication unit that notifies the node.

It is possible to appropriately change the method of acquiring performance data and the type of performance data to be acquired.

1 is a diagram schematically showing the configuration of an information processing system according to a first embodiment; FIG. FIG. 2(a) is a diagram showing the hardware configuration of the gateway, and FIG. 2(b) is a diagram showing the hardware configuration of the server. 3 is a functional block diagram of a sensor node, gateway and server according to the first embodiment; FIG. It is a figure which shows an example of the data structure of design information DB34. It is a figure which shows an example of the data structure of performance value DB. 5 is a flow chart showing processing of a gap presence/absence determination unit; It is a figure which shows an example of the data structure of acquisition method DB. 7 is a table summarizing the processing of the data acquisition method determination unit when various performance values have gaps with respect to the design range; 6 is a flowchart showing processing of a data acquisition method determination unit according to the first embodiment; 9 is a flowchart showing processing of a data acquisition method determination unit according to the second embodiment; FIG. 13 is a functional block diagram of a sensor node, gateway and server according to the third embodiment; It is a figure which shows an example of the data structure of history DB of 3rd Embodiment.

<<First embodiment>>
A first embodiment of the information processing system will be described in detail below with reference to FIGS. 1 to 9. FIG.

FIG. 1 schematically shows the configuration of an information processing system 100 according to the first embodiment. The information processing system 100 includes a gateway 10 and a server 60 as information processing devices connected to a network 80 such as the Internet, a design tool 110 wired to the gateway 10 via a hub 120, a sensor node 70 and an access point 130. and a sensor node 70 that can wirelessly communicate with the gateway 10 via the access point 130 and the hub 120 .

The sensor node 70 is a device that implements a sensor, a data processing function, and a communication function. For example, the sensor node 70 is installed in a manufacturing factory, measures temperature, humidity, vibration, etc., and transmits the measured values to the gateway 10 by wired communication, or transmits the measured values to the gateway 10 via the access point 130. Send by wireless communication. Further, the sensor node 70 measures performance data (performance value) indicating the performance (hardware performance, software performance, communication performance) of the sensor node 70 itself. The types of performance values (hardware performance, software performance, communication performance) are hereinafter also referred to as categories.

FIG. 3 shows a functional block diagram of the sensor node 70 and the gateway 10. As shown in FIG. As shown in FIG. 3 , the sensor node 70 includes one or more sensors 72 and a controller 74 .

The sensor 72 includes a sensor that measures temperature, humidity, and the like, a sensor that measures vibration, and the like.

The control unit 74 has the functions of a performance value measurement unit 75, a sensor measurement unit 76, and a communication unit 77 as a result of a CPU (Central Processing Unit) executing a program. The performance value measurement unit 75 acquires performance data indicating the performance of the hardware and software of the sensor node 70 based on the sampling interval and the acquisition command notified from the gateway 10 (performance value acquisition unit 12) via the communication unit 77. Measure the value (performance value). Performance data indicating the performance of hardware and software, that is, performance data whose category is "hardware performance" and "software performance" includes, for example, CPU usage rate, memory usage rate, HDD (Hard Disk Drive) usage, and so on. rate, remaining battery capacity, temperature inside the sensor node, internal processing time, and the like. Note that the performance data whose categories are "hardware performance" and "software performance" are hereinafter also referred to as "terminal performance information".

Further, when the performance value measurement unit 75 receives a command (sampling command) for acquiring a performance data value (performance value) indicating communication performance from the gateway 10 (performance value acquisition unit 12), the performance value measurement unit 75 measures the communication performance. Measure the performance value shown. Performance data indicating communication performance, that is, performance data whose category is "communication performance" includes radio wave intensity (RSSI: Received Signal Strength Indicator), link quality (LQ: Link Quality), packet error rate (PER: Packet error rate), bit error rate (BER), response time, number of retransmissions, channel utilization rate, number of active nodes, and the like. Performance data whose category is "communication performance" is hereinafter also referred to as "communication performance information".

The sensor measurement unit 76 acquires a measurement value (sensor measurement value) from the sensor 72 with the sampling interval and acquisition command notified from the gateway 10 (sensor measurement value acquisition unit 13).

The performance value measurement unit 75 and the sensor measurement unit 76 collectively transmit the unsent data via the communication unit 77 at each data transmission interval notified from the performance value acquisition unit 12 and the sensor measurement value acquisition unit 13 . In addition, when the performance value measurement unit 75 and the sensor measurement unit 76 receive the data request command from the performance value acquisition unit 12 and the sensor measurement value acquisition unit 13, the data that has not been transmitted is collected and sent via the communication unit 77. It may be transmitted to the gateway 10 .

The design tool 110 is an information processing device that is used when designing what equipment to use as the sensor node 70 and the access point 130 and where to install them. The design tool 110 regularly or irregularly transmits performance information of the sensor node 70 and the access point 130 at the time of design to the gateway 10 via the hub 120 .

The gateway 10 is, for example, a device installed in a manufacturing factory. The gateway 10 receives performance values and sensor measurement values measured by the sensor node 70, and selects a performance value acquisition method using the sensor node (hereinafter referred to as a “data acquisition method”) based on the received values. decide. Also, the gateway 10 notifies the server 60 via the network 80 of information that the data acquisition method has been changed.

FIG. 2(a) shows the hardware configuration of the gateway 10. As shown in FIG. As shown in FIG. 2A, the gateway 10 includes a CPU 90, a ROM (Read Only Memory) 92, a RAM (Random Access Memory) 94, a storage unit (here, HDD) 96, a communication unit 97, and a portable storage medium. A drive 99 and the like are provided. Each component of gateway 10 is connected to bus 98 . In the gateway 10, the CPU 90 executes a program (including an information processing program) stored in the ROM 92 or HDD 96, or a program (including an information processing program) read from the portable storage medium 91 by the portable storage medium drive 99. By doing so, the function of each part shown in FIG. 3 is realized. Details of each part in FIG. 3 will be described later.

The server 60 is a device that, upon receiving information from the gateway 10, executes processing based on the received information. FIG. 2B shows the hardware configuration of the server 60. As shown in FIG. As shown in FIG. 2B, the server 60 can read a CPU 190, a ROM 192, a RAM 194, a storage unit (HDD) 196, a communication unit 197, a display unit 193, an input unit 195, and a portable storage medium 191. It includes a portable storage medium drive 199 and the like. Each component of the server 60 is connected to the bus 198 . The display unit 193 includes a liquid crystal display and the like, and the input unit 195 includes a keyboard, mouse, touch panel and the like. In the server 60 , the CPU 190 executes programs to implement functions as a failure determination unit 62 and a failure handling unit 64 . Details of each unit of the failure determination unit 62 and the failure handling unit 64 will be described later.

Next, the functions of the gateway 10 will be explained in detail based on FIG. As shown in FIG. 3, the CPU 90 executes the program, and the gateway 10 includes the communication unit 11, the design information acquisition unit 15, the performance value acquisition unit 12 as an acquisition unit, the sensor measurement value acquisition unit 13, and the determination unit. function as a gap presence/absence determination unit 14, a data acquisition method determination unit 16 as a change unit, and a notification unit 17. The performance value DB 30, the measured value DB 32, the design information DB 34, and the acquisition method DB 36 shown in FIG. 3 are stored in the HDD 96 or the like.

The design information acquisition unit 15 receives design information periodically or irregularly transmitted from the design tool 110 and stores the design information in the design information DB 34 . Here, the design information DB 34 has a data structure as shown in FIG. As shown in FIG. 4, the design information DB 34 has fields such as "device ID", "parent device ID", "installation position (X coordinate, Y coordinate)", and "received signal strength (RSSI)".

The “device ID” field stores identification information of the sensor node 70 and the access point 130 . The “parent device ID” field stores the identification information of the device to which the sensor node 70 and the access point 130 are connected. The “installation position (X coordinate, Y coordinate)” field stores the installation position (X coordinate, Y coordinate) of each device designed by the design tool 110 . The "received signal strength" field stores the upper limit and lower limit of the design value of the received signal strength indicator (RSSI), that is, the design range. The design information DB 34 also stores design range information other than the RSSI. Design ranges other than RSSI include, for example, communication performance information such as link quality (LQ), packet error rate (PER), bit error rate (BER), response time, number of retransmissions, channel utilization rate, number of active nodes, , terminal performance information such as CPU usage rate, memory usage rate, HDD usage rate, remaining battery capacity, sensor node internal temperature, and internal processing time.

The performance value acquisition unit 12 receives a data acquisition method (sampling interval, acquisition timing, data transmission interval, acquisition performance value) notified from the data acquisition method determination unit 16, which will be described later. Also, when acquiring terminal performance information, the performance value acquisition unit 12 sends the sensor node 70 via the communication unit 11 a sampling interval (performance value measurement interval) and an acquisition timing (sampling start starting from how many seconds). data transmission interval (performance value transmission interval), and acquired performance value (which type of performance value to acquire). Then, the performance value acquisition unit 12 acquires various performance values transmitted from the sensor node 70 and stores them in the performance value DB 30 . Further, when acquiring communication performance information, the performance value acquisition unit 12 notifies the sensor node 70 and the network of a specified command at the sampling interval and the acquisition timing, and transmits the command from the sensor node 70 and the network. Various performance values received are acquired and stored in the performance value DB 30 . Further, when the performance value DB 30 is updated, the performance value acquisition unit 12 notifies the gap presence/absence determination unit 14 of the update of the performance value DB 30 .

When requesting the sensor node 70 for the performance value at the data transmission interval notified from the data acquisition method determination unit 16, the performance value acquisition unit 12 does not notify the sensor node 70 of the data transmission interval. . Also, the performance value acquisition unit 12 does not notify the sensor node 70 of the data transmission interval when receiving the performance value from the sensor node 70 only when the performance value changes.

FIG. 5 shows the data structure of the performance value DB 30. As shown in FIG. As shown in FIG. 5, the performance value DB 30 has fields such as "device ID", "time stamp", "RSSI", "LQ", "response time", "number of retransmissions", and "remaining battery capacity". . The “device ID” field stores identification information of the device (sensor node 70 or access point 130 ) from which the performance value is obtained. The "timestamp" field stores the date and time when the performance value was obtained. Data of each performance value is stored in the fields of "RSSI", "LQ", and so on.

Returning to FIG. 3, the sensor measurement value acquisition unit 13 notifies the sensor node 70 (sensor measurement unit 76) of the acquisition command, the sampling interval, and the data transmission interval notified from the data acquisition method determination unit 16. , receives data (sensor measurement values) measured by the sensor 72 . Further, the sensor measurement value acquisition unit 13 stores the received sensor measurement values in the measurement value DB 32 . Similar to the performance value DB 30, the measured value D32 has fields for "device ID" and "time stamp", and fields for storing various sensor measured values ("temperature", "humidity", "vibration", etc.). field) shall exist.

When the sensor measurement value acquisition unit 13 requests the sensor node 70 to transmit the sensor measurement value at the data transmission interval notified from the data acquisition method determination unit 16, the sensor measurement value acquisition unit 13 requests the sensor node 70 to transmit the sensor measurement value. shall not notify the data transmission interval to Further, when the sensor node 70 transmits the sensor measurement value to the sensor measurement value acquisition unit 13 only when there is a change in the sensor measurement value, the sensor measurement value acquisition unit 13 sets the data transmission interval to the sensor node 70. shall not be notified.

Upon receiving the update notification of the performance value DB 30 from the performance value acquisition unit 12 , the gap presence/absence determination unit 14 acquires the latest performance value from the performance value DB 30 . Further, the gap presence/absence determination unit 14 reads design information corresponding to the acquired performance value from the design information DB 34 and determines whether there is deviation from the design range, that is, whether there is a gap with respect to the design range. When the gap presence/absence determination unit 14 determines that the design range is deviated (there is a gap), the device ID, the performance value name, the performance value, and the design range are notified to the data acquisition method determination unit 16 . Here, "deviating from the design range" includes, for example, a case where the acquisition of the performance value fails, a case where the performance value deviates from the design range, a case where the performance value exceeds a threshold value, and the like. Note that the gap presence/absence determination unit 14 acquires a plurality of recent performance values from the performance value DB 30, and determines whether or not there is a deviation from the design range based on a feature value such as an average value or a variance value of the acquired plurality of performance values. You can judge.

(Processing of Gap Presence/Absence Determination Unit 14)
Here, specific processing of the gap presence/absence determining unit 14 will be described with reference to the flowchart of FIG.

In the process of FIG. 6, first, in step S22, the gap presence/absence determination unit 14 waits until the performance value DB 30 is updated. That is, when the gap presence/absence determination unit 14 receives the update notification of the performance value DB 30 from the performance value acquisition unit 12, the process proceeds to step S24.

After shifting to step S<b>24 , the gap presence/absence determining unit 14 retrieves the latest performance value from the performance value DB 30 .

Next, in step S26, the gap presence/absence determination unit 14 determines whether or not the design range corresponding to the device ID and the performance value exists in the design information DB 34. If the determination in step S26 is negative, the process returns to step S22, but if the decision is positive, the process proceeds to step S28.

After proceeding to step S28, the gap presence/absence determination unit 14 acquires the design range corresponding to the device ID and the performance range from the design information DB 34. FIG.

Next, in step S30, the gap presence/absence determining unit 14 determines whether or not the latest performance value deviates from the design range. For example, the latest performance value obtained by the gap presence/absence determination unit 14 is RSSI=“−65” obtained at time=“2016/1/1 00:00:00.400” in the device with device ID=“ED01001” in FIG. ” (the performance value indicated by the thick line frame). At this time, since the design range of the RSSI for the device ID=“ED01001” is −61 to −55 as shown in FIG. In this case, the determination in step S30 is affirmative, and the process proceeds to step S32. On the other hand, if the determination in step S30 is negative, the process returns to step S22.

When the determination in step S30 is affirmative and the process proceeds to step S32, the gap presence/absence determining unit 14 notifies the data acquisition method determining unit 16 of the device ID, the performance value, and the design range. After that, the process returns to step S22.

Thereafter, the processing and determination of steps S22 to S32 are repeatedly executed, and every time the performance value deviates from the design range, the gap presence/absence determination unit 14 notifies the data acquisition method determination unit 16. ing.

Returning to FIG. 3 , when the data acquisition method determination unit 16 receives a notification that the performance value deviates from the design range (a notification that there is a gap) from the gap presence/absence determination unit 14 , the data acquisition method DB 36 Acquire information about the acquisition method of the available device, and execute processing to change the acquired acquisition method.

Here, as shown in FIG. 7, the acquisition method DB 36 stores sampling intervals, acquisition timings, data transmission intervals, acquisition performance values, etc. in association with each device ID. In the columns of acquired performance values in FIG. 7, "C" means CPU load, "M" means memory utilization, and "H" means HDD utilization. "RS" means RSSI, "L" means LQ, and "RT" means response time.

FIG. 8 is a table summarizing the processing of the data acquisition method determination unit 16 when various performance values have gaps with respect to the design range. FIG. 8 will be described below.

(About terminal performance value)
For example, when the terminal performance value has a gap in the worse side of the design range, the data acquisition method determination unit 16 changes the acquisition method in the order shown in FIG.

(1) Gradually lengthen the sampling interval (however, the minimum required interval for judging deterioration or failure is the limit).
(2) If the change in (1) does not resolve the gap, gradually reduce the types of performance values to be acquired (however, the number is limited to the minimum number necessary for judging deterioration or failure).
(3) If the gap is not resolved even in (2), the log information inside the device is separately acquired and analyzed.

On the other hand, if there is a gap in the better terminal performance value with respect to the design range or if there is no gap, the data acquisition method determination unit 16 does not change the acquisition method as shown in FIG.

(About communication performance value)
If there is a gap in the worse communication performance value than the design range, the data acquisition method determination unit 16 changes the acquisition method in the order shown in FIG.

(1) Gradually lengthen the transmission interval (however, the minimum interval required for judging deterioration or failure is the limit).
(2) If the change in (1) does not eliminate the gap, gradually reduce the number of performance data to be acquired (however, the number is limited to the minimum number necessary for judging deterioration or failure).
(3) If the gap is not resolved even in (2), separately acquire and analyze the communication packet information in the wireless channel.
(4) If the gap is not eliminated even in (3), shift the acquisition timing of the communication performance value of the device without the gap or the device with the better gap in the same network.
(5) If (4) does not resolve the gap, gradually lengthen the transmission interval of devices without gaps or devices with gaps in the same network.
(6) If (5) does not resolve the gap, gradually decrease the acquired performance values of the devices without gaps or devices with better gaps in the same network.

On the other hand, if there is a gap in the better communication performance value with respect to the design range or if there is no gap, the data acquisition method determination unit 16 does not change the acquisition method as shown in FIG.

Note that "gradually lengthening" and "gradually decreasing" may be changed by a fixed value, or may be changed to an intermediate value (average value) between the limit value and the current value, for example.

(Regarding the processing of the data acquisition method determination unit 16)
Here, specific processing of the data acquisition method determination unit 16 will be described with reference to the flowchart of FIG. 9 .

In the process of FIG. 9 , first, in step S<b>40 , the data acquisition method determination unit 16 waits until a notification is received from the gap presence/absence determination unit 14 . That is, upon receiving a notification (device ID, performance value, design range) regarding a performance value having a gap with respect to the design range, the data acquisition method determination unit 16 proceeds to step S42.

After moving to step S42, the data acquisition method determination unit 16 acquires the collection method of the device corresponding to the notification from the acquisition method DB 36. FIG. Next, in step S44, the data acquisition method determination unit 16 determines whether or not the notified performance value is terminal performance information. If the type of performance value is terminal performance information, the process proceeds to step S46, but if the type of performance value is communication performance information, the process proceeds to step S60.

When the process proceeds to step S46, the data acquisition method determination unit 16 determines whether there is a gap in the worse performance value with respect to the design range. If the determination in step S46 is negative (there is a gap in the good side), the process returns to step S40, but if the determination is affirmative (there is a gap in the bad side), the process proceeds to step S48.

After shifting to step S48, the data acquisition method determination unit 16 determines whether or not the sampling interval limit has been reached. If the determination in step S48 is negative, the process proceeds to step S50 to adjust the sampling interval longer. After that, the process returns to step S40. If there is a gap on the worse side even if the sampling interval is adjusted longer, the process of step S50 is executed again. That is, in the present embodiment, it can be said that the sampling interval is gradually lengthened until the gap is eliminated or the sampling interval limit is reached.

On the other hand, if the determination in step S48 is affirmative, the data acquisition method determination unit 16 proceeds to step S52. After shifting to step S52, the data acquisition method determination unit 16 determines whether or not the number of acquired performance values (number of types) is the minimum (minimum number required for determination of deterioration or failure). If the determination in step S52 is negative, the process proceeds to step S54, and the data acquisition method determination unit 16 reduces the types of acquisition performance values. After that, the process returns to step S40. Note that if there is a gap on the worse side even if the obtained performance value is reduced, the process of step S54 is executed again. That is, in the present embodiment, it can be said that the number of acquired performance values is gradually reduced until the gap is eliminated or the number of acquired performance values reaches the minimum required number.

On the other hand, if the determination in step S52 is affirmative, the process proceeds to step S56. After shifting to step S<b>56 , the data acquisition method determination unit 16 acquires log information inside the sensor node 70 . As a result, the data acquisition method determining unit 16 can analyze the log information, and can take measures according to the analysis result. After that, the process returns to step S40.

By the way, if the determination in step S44 is negative, that is, if the performance value is the communication performance information, the process proceeds to step S60, and the data acquisition method determination unit 16 determines that the performance value is bad for the design range. Determine if there is a gap in the direction of If the determination in step S60 is negative, the process returns to step S40, but if the decision is positive, the process proceeds to step S62.

After shifting to step S62, the data acquisition method determining unit 16 determines whether or not the transmission interval is limited. If the determination in step S62 is negative, the process proceeds to step S64, and the data acquisition method determination unit 16 adjusts the transmission interval to be longer. After that, the process returns to step S40. If there is a gap on the worse side even if the transmission interval is adjusted longer, the process of step S64 is executed again. That is, in the present embodiment, it can be said that the transmission interval is gradually lengthened until the gap is eliminated or the transmission interval limit is reached.

On the other hand, when the determination in step S62 is affirmative and the process proceeds to step S66, the data acquisition method determining unit 16 determines whether or not the number of acquired performance values is the minimum. If the determination here is negative, the process moves to step S68, and the data acquisition method determination unit 16 reduces the acquisition performance value. After that, the process returns to step S40. Note that if there is a gap on the worse side even if the obtained performance value is reduced, the process of step S68 is executed again. That is, in the present embodiment, it can be said that the number of acquired performance values is gradually reduced until the gap is eliminated or the number of acquired performance values reaches the minimum required number.

On the other hand, if the determination in step S66 is affirmative, the process proceeds to step S70, and the data acquisition method determination unit 16 acquires communication packet information within the same network. As a result, the data acquisition method determining unit 16 can analyze the communication packet information, so that it is possible to take countermeasures according to the analysis result.

Next, in step S72, the data acquisition method determination unit 16 determines whether or not there is no improvement as a result of step S70. If the determination in step S72 is negative (improvement has been made), the process returns to step S40, but if positive, the process proceeds to step S74.

After moving to step S74, the data acquisition method determination unit 16 adjusts other devices in the same network. Specifically, the data acquisition method determination unit 16 first shifts the timing of acquiring the communication performance values of devices without gaps or devices with gaps on the better side in the same network. In addition, if the gap cannot be eliminated only by shifting the acquisition timing of the communication performance value, the data acquisition method determination unit 16 gradually increases the transmission interval of devices in the same network with no gap or with a gap on the better side. Lengthen. Also, if the gap is still not eliminated, gradually decrease the acquired performance values of the devices in the same network that have no gap or have a gap on the better side. After performing such processing, the process returns to step S40.

Returning to FIG. 3 , the notification unit 17 notifies the server 60 of information that needs to be notified to the server 60 as a result of processing by the data acquisition method determination unit 16 . For example, the notification unit 17 may notify the failure determination unit 62 of the server 60 of the changed sampling interval because the failure determination algorithm is likely to be affected if the sampling interval is changed. Here, the failure determination unit 62 of the server 60 detects that an abnormality has occurred based on the performance values of the performance value DB 30 . In addition, the failure determination unit 62 acquires one or more (X) pieces of recent data (data whose time stamp is close to the time when the abnormality was determined) measured at the sensor node 70 where the abnormality occurred, from the performance value DB 30, and analyzes the data. , to identify the fault. When receiving the changed sampling interval from the notification unit 17, the failure determination unit 62 analyzes the performance values in consideration of the sampling interval.

In addition, when the gap cannot be resolved, the notification unit 17 may notify the failure handling unit 64 of the server 60 to that effect because it is often necessary to perform a fundamental failure handling. Here, the failure handling unit 64 of the server 60 performs processing to resolve the failure identified by the failure determination unit 62. However, when receiving a notification from the notification unit 17 that the gap could not be resolved, Processing for eliminating the gap is also performed.

Further, when the acquisition method is changed, the notification unit 17 may notify the terminal or operation application owned by the administrator to that effect. Further, when the acquisition method is changed or when the gap cannot be resolved, the notification unit 17 may notify the design tool 110 to that effect in order to prompt redesign.

As described in detail above, according to the first embodiment, the performance value acquiring unit 12 obtains the performance value (communication performance information) related to communication with the sensor node 70 and the performance value (terminal performance information), and the gap presence/absence determination unit 14 refers to the design information DB 34 that stores the performance range (design range) at the time of design, and determines whether the acquired performance value is included in the design range (S30 ). Then, when the acquired performance value deviates from the design range, the data acquisition method determination unit 16 changes the performance value acquisition method step by step so that the acquired performance value is included in the design range ( S48-S56, S62-S74). In this way, based on the presence or absence of gaps in the performance value design range, by gradually changing the performance value acquisition method so as to eliminate the gaps, devices and communications in the ever-changing IoT environment On the other hand, it becomes possible to acquire sufficient performance values to detect and judge performance deterioration and faults with high accuracy without imposing a heavy load.

Here, when introducing and installing an IoT system, a method has been conventionally known in which each device is installed as designed after verifying in advance whether radio waves reach sufficiently and data communication satisfies service requirements. As such methods, (1) radio design support simulation and (2) radio wave visualization/site survey are known. (1) Wireless design support simulation judges the optimal placement position and number of wireless repeaters and devices based on a floor map that contains information such as walls, doors, large fixtures and equipment, and people's flow lines. It is a way to In addition, (2) radio wave visualization / site survey, a person brings a radio wave visualization / site survey tool to the installation site, measures the radio wave quality such as radio wave intensity at each place, and determines the optimal placement position of wireless repeaters and devices. or number. In the case of (1), since disturbances such as radio waves flying around cannot be taken into account, there is a possibility that wireless communication performance as designed may not be obtained. In addition, in the case of (2), although radio waves flying around the site can also be visualized, the radio wave conditions change from moment to moment, so it is not possible to grasp the daily radio conditions just by operating the tool once. On the other hand, in the first embodiment, the gap between the design range of the performance value is constantly determined, and the method for acquiring the performance value is changed one by one based on the determination result. Therefore, it is possible to determine an appropriate performance value acquisition method.

Further, in the first embodiment, the data acquisition method determination unit 16 changes the acquisition method according to a predetermined order (see FIG. 8). As a result, it is possible to easily change to an acquisition method that can acquire a sufficient performance value without imposing a heavy load on the device or communication.

In the first embodiment, the data acquisition method determination unit 16 changes the acquisition method according to the order shown in FIG. 8. However, the order shown in FIG. good too.

<<Second embodiment>>
The second embodiment will be described below with reference to FIG. In the first embodiment described above, when the performance value has a gap in the better side with respect to the design range (when S46 and S60 are denied), the data acquisition method determination unit 16 does not change the acquisition method. However, in the second embodiment, the acquisition method is changed even when there is a gap in the better direction.

In the second embodiment, processing is executed according to the flowchart of FIG. In the processing of FIG. 10, if the determination in step S46 is negative (if there is a gap in the better direction), the data acquisition method determination unit 16 executes steps S47A to S47C. Also, when the determination in step S60 is negative (when there is a gap in the better side), the data acquisition method determination unit 16 executes steps S61A to S61C.

(Processing of steps S47A to S47C)
If the determination in step S46 is negative, the process proceeds to step S47A, and the data acquisition method determination unit 16 determines whether or not the sampling interval limit (a state in which the sampling interval cannot be shortened any more) has been reached. If the determination in step S47A is negative, the process proceeds to step S47B, and the sampling interval is adjusted to be shorter. After that, the process returns to step S40. Note that if there is a gap on the side where the sampling interval can be adjusted shorter, the process of step S47B is executed again. That is, in the present embodiment, it can be said that the sampling interval is adjusted to be gradually shortened until the gap disappears or the sampling interval limit is reached. When adjusting the sampling interval, it may be adjusted by a constant value, or may be changed to an intermediate value (average value) between the limit value and the current value, for example.

On the other hand, if the determination in step S47A is affirmative, the data acquisition method determination unit 16 proceeds to step S47C. In step S47C, the data acquisition method determination unit 16 increases the acquisition performance value. Also in this step S47C, as in steps S52 and S54 described above, it is possible to gradually increase the number of acquired performance values up to the maximum number of types of performance values that can be acquired. After step S47C, the data acquisition method determination unit 16 returns to step S40.

(Processing of steps S61A to A61C)
If the determination in step S60 is negative, the process proceeds to step S61A, and the data acquisition method determination unit 16 determines whether or not the transmission interval limit (a state in which the transmission interval cannot be shortened any more) has been reached. If the determination in step S61A is negative, the process proceeds to step S61B to adjust the transmission interval to be shorter. When adjusting the transmission interval, it may be adjusted by a constant value, or may be changed to an intermediate value (average value) between the limit value and the current value, for example. On the other hand, if the determination in step S61A is affirmative, the data acquisition method determination unit 16 proceeds to step S61C. In step S61C, the data acquisition method determination unit 16 increases the acquisition performance value, as in step S47C.

Other processing is the same as the processing of the first embodiment (the processing of FIG. 9).

As described above, according to the second embodiment, the data acquisition method determination unit 16 selects the performance value acquisition method even when the acquired performance value indicates better performance than the design range. I am planning to change. As a result, it is possible to avoid acquiring performance values that are more detailed than necessary, so it is possible to improve the efficiency of acquiring performance values.

In the above-described second embodiment, the case where the data acquisition method determination unit 16 changes the acquisition method according to the order shown in FIG. 10 has been described. , the acquisition method may be changed.

<<Third Embodiment>>
The third embodiment will be described below with reference to FIGS. 11 and 12. FIG. As shown in FIG. 11, the third embodiment is characterized in that the gateway 10 includes a history DB 38 that can be updated by the gap presence/absence determination unit 14 and the data acquisition method determination unit 16. FIG.

FIG. 12 shows the data structure of the history DB 38. As shown in FIG. The history DB 38 stores information about how, when there is a gap in which performance value of which device with respect to the design range, how the gap and performance value are changed by changing the acquisition method. be. Note that the information stored in the history DB 38 in FIG. 12 shows that the CPU load is "70" and there is a gap on the worse side. This is the information that the gap has disappeared.

In FIG. 12 , underlined information is information registered by the gap presence/absence determination unit 14 , and other information is information registered by the data acquisition method determination unit 16 . That is, in the third embodiment, the gap presence/absence determination unit 14 and the data acquisition method determination unit 16 realize a function as a recording unit that records the change in the acquisition method and the change in performance value due to the change. It is

In the third embodiment, the data acquisition method determination unit 16 refers to the history DB 38 and changes the acquisition method when executing the processes of FIGS. 9 and 10 . For example, when information is accumulated in the history DB 38, it becomes possible to estimate how much and which acquisition method is required to change the gap from "bad" to "no" for a certain type of device. The method determination unit 16 may change the acquisition method based on the information. Further, when it is found from the history DB 38 that changing a certain acquisition method is not effective in eliminating the gap, the change of the changing method may be omitted.

As described above, according to the third embodiment, when the acquisition method is changed, the data acquisition method determination unit 16 records the content of the change and the change in performance value due to the change in the history DB 38. . Then, the data acquisition method determination unit 16 changes the acquisition method based on the history DB 38 . This makes it possible to change the acquisition method in a highly effective manner by referring to the past history.

In each of the above-described embodiments, the case where the server 60 has the failure determination unit 62 and the failure handling unit 64 has been described, but the present invention is not limited to this. For example, the gateway 10 may have at least one of the failure determination unit 62 and the failure handling unit 64 .

In each of the above embodiments, the server 60 may have each function that the gateway 10 has. Also, the server 60 may have some of the functions of the gateway 10 (for example, the gap presence/absence determination unit 14, the design information acquisition unit 15, and the data acquisition method determination unit 16).

In each of the above embodiments, the case where the sensor node 70 is installed in the manufacturing factory has been described, but the sensor node 70 is not limited to this and may be installed in various other places.

Note that the processing functions described above can be realized by a computer. In that case, a program is provided that describes the processing contents of the functions that the processing device should have. By executing the program on a computer, the above processing functions are realized on the computer. A program describing the processing content can be recorded in a computer-readable storage medium (excluding carrier waves).

When a program is distributed, it is sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer via the network.

A computer that executes a program stores, for example, a program recorded on a portable storage medium or a program transferred from a server computer in its own storage device. The computer then reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable storage medium and execute processing according to the program. In addition, the computer can also execute processing in accordance with the received program each time the program is transferred from the server computer.

The embodiments described above are examples of preferred implementations of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the spirit of the present invention.

Note that the following additional remarks will be disclosed with respect to the above description of the first to third embodiments.
(Appendix 1) An information processing device that communicates with a sensor node and obtains a measurement value measured by the sensor node,
an acquisition unit that acquires performance data related to communication with the sensor node and/or performance data related to the sensor node;
a determination unit that refers to a storage unit that stores the performance data at the time of design and determines whether the obtained performance data is within a predetermined range based on the performance data at the time of design;
The method of acquiring the performance data and/or the type of the performance data to be acquired are stepwise so that the acquired performance data is included in the prescribed range when the acquired performance data is not included in the prescribed range. an information processing apparatus comprising:
(Supplementary note 2) The information according to Supplementary note 1, wherein the changing unit changes step by step the method of acquiring the performance data and/or the type of the performance data to be acquired in accordance with a predetermined order. processing equipment.
(Appendix 3) When the acquired performance data is a value indicating performance worse than the predetermined range, the changing unit changes the method of acquiring the performance data and/or the type of the performance data to be acquired in stages. 3. The information processing apparatus according to appendix 1 or 2, characterized by changing
(Additional Note 4) Even when the obtained performance data is a value indicating better performance than the predetermined range, the changing unit changes the method of obtaining the performance data and/or the type of the performance data to be obtained. The information processing apparatus according to appendix 3, wherein the change is performed in stages.
(Appendix 5) A record for recording, when the change unit changes the method of acquiring the performance data and/or the type of the performance data to be acquired, the content of the change and the change in the performance data resulting from the change. further comprising the
5. Any one of appendices 1 to 4, wherein the changing unit changes a method of acquiring the performance data and/or a type of the performance data to be acquired, based on the information recorded by the recording unit. The information processing device described.
(Appendix 6) An information processing program to be executed by a computer of an information processing device that communicates with a sensor node to obtain a measurement value measured by the sensor node,
Acquiring performance data related to communication with the sensor node and/or performance data related to the sensor node;
determining whether the acquired performance data is within a predetermined range based on the performance data at the time of design by referring to a storage unit that stores the performance data at the time of design;
The method of acquiring the performance data and/or the type of the performance data to be acquired are stepwise so that the acquired performance data is included in the prescribed range when the acquired performance data is not included in the prescribed range. to change the
An information processing program for causing the computer to execute processing.
(Supplementary Note 7) The process for changing is according to Supplementary Note 6, wherein the method of acquiring the performance data and/or the type of the performance data to be acquired is changed step by step in accordance with a predetermined order. Information processing program.
(Supplementary note 8) The information processing program according to Supplementary note 6 or 7, wherein the process of changing is executed when the acquired performance data is a value indicating performance worse than the predetermined range.
(Supplementary note 9) The information processing program according to Supplementary note 8, wherein the process of changing is also executed when the acquired performance data is a value indicating better performance than the predetermined range.
(Supplementary note 10) When the method of acquiring the performance data and/or the type of the performance data to be acquired is changed in the changing process, the content of the change and the change in the performance data due to the change are recorded. causing the computer to perform further processing;
10. Any one of Appendices 6 to 9, wherein the changing process changes a method of acquiring the performance data and/or a type of the performance data to be acquired, based on the information recorded in the recording process. The information processing program according to
(Additional Note 11) A computer of an information processing device that communicates with a sensor node and acquires a measurement value measured by the sensor node,
Acquiring performance data related to communication with the sensor node and/or performance data related to the sensor node;
determining whether the acquired performance data is within a predetermined range based on the performance data at the time of design by referring to a storage unit that stores the performance data at the time of design;
The method of acquiring the performance data and/or the type of the performance data to be acquired are stepwise so that the acquired performance data is included in the prescribed range when the acquired performance data is not included in the prescribed range. to change the
An information processing method characterized by executing processing.

10 gateway (information processing device)
12 performance value acquisition unit (acquisition unit)
14 gap presence/absence determination unit (determination unit, part of recording unit)
16 Data Acquisition Method Determining Part (Change Part, Part of Recording Part)
70 sensor nodes

Claims (6)

An information processing device that communicates with a sensor node and receives sensor acquisition data acquired by the sensor node,
a determination unit that determines whether the communication performance data is within a predetermined range based on the communication performance data indicating the state of communication with the sensor node;
When the communication performance data is not included in the predetermined range, the acquisition interval of the sensor acquisition data in the sensor node or the sensor received by the information processing device is set so that the communication performance data is included in the predetermined range. a changing unit that changes the type of acquired data;
a communication unit that notifies the sensor node of the changed acquisition interval or the changed type;
Information processing device. When the change unit changes the acquisition interval of the sensor acquired data in the sensor node or the type of the sensor acquired data received by the information processing device, the content of the change and the change in the communication performance data due to the change and further comprising a recording unit for recording
The changing unit changes an acquisition interval of the sensor acquired data in the sensor node or a type of the sensor acquired data received by the information processing device, based on the information recorded by the recording unit. The information processing device according to claim 1 . 3. The information processing apparatus according to claim 1, wherein said communication performance data includes at least one of radio wave intensity, link quality, packet error rate, bit error rate, response time, and number of retransmissions. 3. The sensor acquisition data types include at least one of CPU usage rate, memory usage rate, HDD usage rate, remaining battery capacity, temperature inside the sensor node, and internal processing time in the sensor node. 3. The information processing device according to 1 or 2. An information processing program to be executed by a computer of an information processing device that communicates with a sensor node and receives sensor acquired data acquired by the sensor node,
determining whether the communication performance data is within a predetermined range based on the communication performance data indicating the state of communication with the sensor node;
When the communication performance data is not included in the predetermined range, the acquisition interval of the sensor acquisition data in the sensor node or the sensor received by the information processing device is set so that the communication performance data is included in the predetermined range. Change the type of acquired data,
notifying the sensor node of the changed acquisition interval or the changed type;
An information processing program for causing the computer to execute processing. A computer of an information processing device that communicates with a sensor node and receives sensor acquisition data acquired by the sensor node,
determining whether the communication performance data is within a predetermined range based on the communication performance data indicating the state of communication with the sensor node;
When the communication performance data is not included in the predetermined range, the acquisition interval of the sensor acquisition data in the sensor node or the sensor received by the information processing device is set so that the communication performance data is included in the predetermined range. Change the type of acquired data,
notifying the sensor node of the changed acquisition interval or the changed type;
An information processing method characterized by executing processing.

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