JP2023047099A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To allow sensor data to be appropriately handed over according to the amount of communication resources.SOLUTION: An information processing device includes: a receiving unit that receives a first container corresponding to a first format, which is a format of a container containing sensor data detected by a sensor device and attribute information to be added to the sensor data, and which is a format not containing structural information indicating the structure of the structural information; and a conversion unit that converts the first container into a second format, which is a format containing the structural information.SELECTED DRAWING: Figure 10

Description

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

In recent years, due to the spread of IoT (Internet of Things), there is known a technique of utilizing sensor data detected by various sensors mounted on IoT devices. For example, there is known a technique for integrating and utilizing a plurality of sensor data detected by a plurality of biosensor devices in a body area network, which is a network covering a range of several meters around the human body. .

JP 2019-146154 A

By the way, in general, when sensor data output from a sensor device is transmitted from the sensor device to the cloud server, the amount of power that can be used for communication of the sensor data decreases (low power amount) as the sensor device is closer to the side. The closer to the cloud side, the more (high power consumption). Also, the communication speed in the communication path used for communication of sensor data is lower (lower transfer speed) closer to the sensor device side, and higher (higher transfer speed) closer to the cloud side. In this way, the amount of communication resources such as the amount of power and the communication speed that can be used for communication of sensor data (hereinafter also referred to as the amount of resources) differs depending on the stage of the communication path from the sensor device to the cloud server. Therefore, for example, in situations where the amount of resources is small, sensor data is exchanged with a small amount of information, and in situations where the amount of resources is large, sensor data is exchanged with a rich amount of information. A mechanism that enables sensor data to be passed to the device is desired.

Therefore, an object of the present disclosure is to provide an information processing device, an information processing method, and an information processing program that can appropriately transfer sensor data according to the amount of communication resources.

An information processing apparatus according to an aspect of the present invention is a container format including sensor data detected by a sensor apparatus and attribute information added to the sensor data, wherein structure information indicating a structure of the attribute information is provided. and a conversion unit that converts the first container into a second container that corresponds to a second format that includes the structure information. And prepare.

An information processing method according to an aspect of the present invention is an information processing method executed by a computer, and is a container format containing sensor data detected by a sensor device and attribute information added to the sensor data. a receiving step of receiving a first container corresponding to a first format that is a format that does not contain structural information indicating the structure of the attribute information; and converting to a second container corresponding to .

An information processing program according to an aspect of the present invention is a container format containing sensor data detected by a sensor device and attribute information added to the sensor data, and structural information indicating the structure of the attribute information. and a conversion procedure for converting the first container into a second container corresponding to a second format, which is a format including the structural information. and cause the computer to execute

According to the present invention, it is possible to appropriately transfer sensor data according to the amount of communication resources.

FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. FIG. 2 is a diagram illustrating an overview of information processing by the information processing system according to the embodiment. FIG. 3 is a diagram showing the concept and expression format of a container according to the embodiment. FIG. 4 is a diagram showing the relationship between attribute information and structure information according to the embodiment. FIG. 5 is a diagram showing the structure of a container according to the embodiment. FIG. 6 is a diagram showing the relationship between the structure of a P-type container and structural information according to the embodiment. FIG. 7 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 8 is a flow chart showing the processing procedure of the P-type container according to the embodiment. FIG. 9 is a flow chart showing the processing procedure of the F-type container according to the embodiment. FIG. 10 is a diagram illustrating an example of a processing procedure for collecting sensor data from a sensor device to a cloud server; FIG. 11 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Embodiments for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
[1. Configuration example of information processing system]
FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. The information processing system 1 includes a sensor device 10 , an information processing device 100 , a structural information repository 200 and a cloud server 300 . The sensor device 10, the information processing device 100, the structure information repository 200, and the cloud server 300 are connected via a predetermined network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 1 includes an arbitrary number of sensor devices 10, an arbitrary number of information processing devices 100, an arbitrary number of structural information repositories 200, and an arbitrary number of cloud servers 300. may be included.

FIG. 2 is a diagram illustrating an overview of information processing by the information processing system according to the embodiment. The sensor device 10 is an information processing device that includes a sensor element, converts an electrical signal (analog signal) detected by the sensor element into digital data, and outputs the digital data. Note that data to be measured by the sensor element is hereinafter referred to as sensor data. In other words, sensor data refers to physical quantities (for example, measured values) related to the measurement target detected by the sensor device 10 . In addition, the electrical signal detected by the sensor element and the digital data obtained by AD-converting the electrical signal detected by the sensor element are the sensor data in a different form. Digital data obtained by AD-converting the electric signal obtained by the measurement may be referred to as sensor data.

The sensor device 10 is mounted on an IoT device. Specifically, the sensor device 10 is a biosensor device that includes a biosensor element, and may be a wearable sensor that can be attached to the human body. For example, the sensor device 10, which is a biosensor device, outputs an electric signal indicating electrocardiogram, heartbeat, pulse, respiration, electroencephalogram, body temperature, posture, activity amount, acceleration, smell, or myoelectricity of a human body as an example of sensor data. To detect. Further, the sensor device 10 AD-converts the electrical signal (analog signal) detected by the biosensor element into digital data.

Note that the sensor device 10 may be an environment sensor device that includes an environment sensor element. The sensor device 10, which is an environment sensor device, detects an electrical signal indicating environmental temperature, humidity, illuminance, atmospheric pressure, noise, CO2 concentration, or ultraviolet rays as an example of sensor data. Further, the sensor device 10 AD-converts the electric signal (analog signal) detected by the environment sensor element into digital data.

Further, the sensor device 10 transmits digital data obtained by AD-converting the detected electric signal to the information processing device 100 . Specifically, the sensor device 10 transmits digital data to the information processing device 100 via the network N (see FIG. 1). In FIG. 2, a computational resource that receives input of digital data from the sensor device 10 and has a function of communicating with subsequent (higher-order) computational resources is called an edge computer. The edge computer shown in FIG. 2 corresponds to the information processing apparatus 100 shown in FIG. The edge computer is hereinafter referred to as an information processing apparatus 100 .

Here, conventionally, the data structure of the sensor data output from the sensor device 10 is generally non-common. Specifically, the data structure of the sensor data includes the detection target of the sensor device 10, the sensor vendor that provides the sensor device 10, the type of product that is the sensor device 10, and the method or method of providing the sensor data to the user. Generally, it differs depending on the visualization method. Moreover, sensor data has various structures due to some manipulations added by the sensor vendor.

Further, conventionally, the communication method for transmitting and receiving sensor data is generally non-common. For example, when sending and receiving sensor data by wire, there are various communication methods depending on differences such as Ethernet (registered trademark), GPIO (General Purpose Input/Output), and I2C (Inter-Integrated Circuit). Used. In the example shown in FIG. 2, SmartBAN, BLE (Bluetooth (registered trademark) Low Energy), BT (Bluetooth (registered trademark)), or A case is shown in which sensor data is transmitted to the information processing apparatus 100 by wireless communication such as Wi-Fi (registered trademark).

As described above, conventionally, due to the difference in communication method when transmitting and receiving sensor data and the difference in the data structure of sensor data, there are cases where it is difficult to handle sensor data. For example, conventionally, when it is desired to combine and use a plurality of sensor data output from a plurality of different sensor devices 10, the data structure of each of the plurality of sensor data is different. Sometimes it was difficult. Therefore, there is a demand for a mechanism that can absorb differences in communication methods when transmitting and receiving sensor data and differences in data structures of sensor data. For example, a technique for handling various sensor data in a common format is desired.

On the other hand, the information processing apparatus 100 according to the present application can provide a data structure (hereinafter also referred to as a format) commonly used for sensor data output from various sensor devices 10 . That is, the information processing device 100 can provide a standardized data structure regarding sensor data. Specifically, the information processing apparatus 100 generates a container corresponding to the format of a container including sensor data detected by the sensor device 10 and attribute information added to the sensor data. Here, the container format is a common format used when sensor data is distributed.

In this way, the information processing apparatus 100 converts the sensor data into a container compatible with a common format, and transfers the sensor data using the container. Accordingly, the information processing apparatus 100 can handle sensor data by a common method without depending on differences in communication methods for transmitting and receiving sensor data and differences in the data structure of sensor data. For example, the information processing apparatus 100 enables computers on network paths that transmit and receive sensor data to handle sensor data using a common logical interface. Also, for example, the information processing apparatus 100 can improve convenience when using a combination of a plurality of sensor data output from a plurality of different sensor devices 10 .

As shown in FIG. 2, the information processing apparatus 100 has three functions: Reader (input function), Unmarshaler (calculation function), and Register (output function). The Reader (input function) stores digital data received from the sensor device 10 in a container and outputs the container. Specifically, when the reader receives digital data from the sensor device 10, the reader converts the digital data received from the sensor device 10 into a container format. More specifically, when the Reader receives digital data, it adds attribute information to the received digital data. Subsequently, the Reader creates a container containing the digital data received from the sensor device 10 and the attribute information added to the digital data.

The Unmarshaler (calculation function) performs calculations and processing on containers output from the Reader. For example, the Unmarshaler takes a container as an input and outputs the result of performing an operation on the header and payload contained in the container as a new container. For example, Unmarshaler uses SQL (Structured Query Language) as the definition of the calculation method to calculate the average value and maximum value of sensor data. Also, the Unmarshaler may periodically aggregate the sensor data by applying a window function or filter based on time or the number of data to the sensor data. Further, when the Unmarshaler outputs a container, conversion to another data exchange format or change of communication method (hand over) may be performed.

The structure information repository 200 stores and publishes data necessary for interpreting container data (hereinafter sometimes referred to as structure information). Structural information repository 200 stores a plurality of structural information. The structure information is stored in a local file or a location on the network that the Unmarshaler can refer to.

Upon receiving an input of a container, the Unmarshaler divides the input container data into a header area and a payload area. Subsequently, the Unmarshaler acquires structure information from the structure information repository 200 and reads (parsing) the attribute values stored in the header area and the attribute values stored in the payload area. Note that there is a case where structural information is described in the container itself (F-type container to be described later). Subsequently, when the Unmarshaler reads the attribute values, it operates on the attribute values of one or more containers.

The Register (output function) receives the input of a container generated by the Reader or a container to which an operation by the Unmarshaler is applied, converts it into a container in a format suitable for the output destination, and outputs it to subsequent computational resources. For example, Register uploads a container to the cloud server 300 and accumulates the container and the calculation result of the container in the database. Also, the Register feeds back the container to the user. For example, Register visualizes and displays the data of the container.

The cloud server 300 receives the container and the computation result of the container from the information processing device 100 . The cloud server 300 accumulates the received container and the calculation result of the container in the database.

[2. Container format]
FIG. 3 is a diagram showing the concept and expression format of a container according to the embodiment. As shown in FIG. 3, a container is composed of two areas, a header area (Header) and a payload area (Payload). The order of the areas that make up the container is fixed, and the data is arranged in the order of the header area and the payload area.

The header area is a container area for storing data other than the digital data received from the sensor device 10, for example, attribute information added to the digital data. The header area includes container identification information (Container Type) that can identify the type of container. The payload area is an area of a container that stores digital data received from the sensor device 10 .

For example, the information processing apparatus 100 receives, every 10 minutes, 10 digital data corresponding to 10 temperatures measured every minute for 10 minutes from the sensor device 10, which is a temperature sensor. At this time, the payload area of the container stores an array of 10 digital data values corresponding to 10 temperatures measured every minute for 10 minutes. For example, if the byte length of the numerical value of digital data corresponding to each temperature is 1 byte, the array of numerical values of 10 digital data corresponding to 10 temperatures (1 byte x 10 = 10 bytes of data) is stored.

As shown in FIG. 3, there are two types of formats (also called expression formats) for containers. One of the two formats is a P type (Pre-Defined Type) (hereinafter also referred to as a first format) that does not include structural information indicating the structure of attribute information. The other format is F type (Flexible Type) (hereinafter also referred to as second format) that includes structural information indicating the structure of attribute information. Also, a P-type container (hereinafter also referred to as a P-type container or first container) and an F-type container (hereinafter also referred to as an F-type container or second container) can be converted to each other.

As shown in FIG. 3, a container stores container identification information that can identify the type of container at the beginning of the header area. The container identification information is a byte string with a fixed length of 2 bytes. A P-type container stores P-type container identification information indicating that it is a P-type container at the beginning of the header area. In addition, the P-type container stores an attribute value (AttrValue; an abbreviation for Attribute Value), which is a numerical value obtained by converting the attribute information into digital data, in an area behind the area in which the container identification information is stored in the header area. . Also, when a plurality of different attribute information exist, the P-type container stores an array in which a plurality of attribute values corresponding to each of the plurality of different attribute information are arranged. Also, the P-type container stores sensor values, which are numerical values of digital data received from the sensor device 10, in the payload area.

A Type F container stores F-type container identification information indicating that it is an F-type container at the beginning of the header area. Further, the F-type container stores attribute count information (Attribute Count) indicating the number of pieces of attribute information in an area behind the area in which the container identification information is stored in the header area. In addition, in the F-type container, attribute identification information (AttrID; abbreviation of Attribute ID) that can identify attribute information, attribute value byte unit Attribute length information (AttrLen; abbreviation of Attribute Length) indicating length and attribute values are stored in order. Further, like the P-type container, the F-type container stores sensor values, which are numerical values of digital data received from the sensor device 10, in the payload area.

Thus, the P-type container stores only the attribute value (AttrValue) in the header area. On the other hand, the F-type container differs from the P-type container in that structural information, which is a set of attribute identification information (AttrID) and attribute length information (AttrLen), is stored in the header area together with the attribute value (AttrValue). The F-type container also differs from the P-type container in that attribute count information (Attribute Count) is stored in the header area.

FIG. 4 is a diagram showing the relationship between attribute information and structure information according to the embodiment. The attribute information (Attribute) includes a set of three pieces of information: attribute identification information (AttrID), attribute length information (AttrLen), and attribute value (AttrValue). Among the attribute information, a set of attribute identification information (AttrID) and attribute length information (AttrLen) is called structure information (Attribute Meta). Structural information is also called attribute meta information in the sense that it is data attached to attribute values. Note that the structure information may include attribute count information (Attribute Count) shown in FIG.

FIG. 5 is a diagram showing the structure of a container according to the embodiment. In the example shown in FIG. 5, the header area of the container is composed of Required Fields and Optional Attributes. The essential area of the header stores, as an example of attribute information, container identification information (Container Type), data identification information (DataID) that can identify structural information, and container length information (Length) that indicates the byte length of the entire container. . The option area of the header stores attribute information added to the sensor data stored in the payload area. The optional area of the header has different array elements depending on the type of container.

Data identification information (DataID) is a fixed-length 2-byte byte string indicating information that can identify structural information. The data identification information includes a sensor device identifier (for example, fixed length 16 bytes) that can identify the sensor device 10 that detected the sensor data, and a setting identifier that can identify the service information and setting information of the sensor device 10 (for example, fixed length 5 bytes).

The container length information (Length) is a fixed-length 1-byte byte string indicating the byte length of the entire container. Also, the essential field of the header may include sensor length information (fixed length of 1 byte) indicating the byte length of the sensor value, which is a numerical value obtained by converting the sensor data into digital data, instead of the container length information. The container length information is an essential attribute for P-type containers.

FIG. 6 is a diagram showing the relationship between the structure of a P-type container and structural information according to the embodiment. As shown in FIG. 6, the P-type container includes data identification information (DataID) and a group of attribute values (AttrValue) in the header area. Since a P-type container does not contain structural information, when reading a P-type container, the information processing apparatus 100 acquires structural information identified by (the structural information identifier contained in) the data identification information from the structural information repository 200 . When acquiring the structure information, the information processing apparatus 100 reads the attribute value identified by the attribute identification information (AttrID) included in the structure information from the header area. Specifically, the information processing apparatus 100 retrieves the attribute value identified by the attribute identification information (AttrID) from the header area by reading the byte string of the byte length indicated by the attribute length information (AttrLen) included in the structure information. read out. The information processing apparatus 100 reads the attribute values from the header area in the order of the attribute identification information (AttrID).

[3. Configuration example of information processing device]
FIG. 7 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; Information processing apparatus 100 includes communication unit 110 , storage unit 120 , and control unit 130 . The information processing apparatus 100 includes an input unit (for example, a keyboard, a mouse, etc.) for receiving various operations from an administrator of the information processing apparatus 100, and a display unit (for example, a liquid crystal display) for displaying various information. You may prepare.

The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the sensor device 10, the structural information repository 200, and the cloud server 300, for example.

The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk.

The control unit 130 is a controller, and for example, various programs (information processing programs) stored in a storage device inside the information processing apparatus 100 are controlled by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (equivalent to one example) is implemented by executing the RAM as a work area. Also, the control unit 130 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 7, the control unit 130 has a receiving unit 131, a determining unit 132, a reading unit 133, a converting unit 134, a computing unit 135, and a transmitting unit 136, and performs information processing described below. achieve or perform the action of Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it performs information processing to be described later.

The receiving unit 131 executes the Reader (input function) described with reference to FIG. The receiving unit 131 receives sensor data detected by the sensor device 10 . Specifically, when receiving the digital data, the receiving unit 131 generates a container corresponding to the format of the container including the received digital data and the attribute information added to the received digital data. For example, the receiver 131 generates a P-type container or an F-type container.

The determining unit 132 determines whether the container received by the receiving unit 131 is a P-type container or an F-type container. Specifically, the determining unit 132 reads the leading 2-byte byte string of the header area of the container received by the receiving unit 131 and acquires the container identification information. If the acquired container identification information is the P-type container identification information, the determination unit 132 determines that the container received by the reception unit 131 is the P-type container. On the other hand, when the acquired container identification information is the F-type container identification information, the determination unit 132 determines that the container received by the reception unit 131 is the F-type container.

The reading unit 133 reads container data. Specifically, the reading unit 133 reads the data of the container by reading the data stream from the beginning of the container (read in order). More specifically, the reading unit 133 reads the attribute value of the attribute information by reading the attribute value of the byte string following the leading 2-byte byte string in the header area of the container.

FIG. 8 is a flow chart showing the processing procedure of the P-type container according to the embodiment. In FIG. 8, the receiving unit 131 receives a P-type container represented by hexadecimal "0x00000x01230a456789ab19191a...19". The determining unit 132 reads the attribute value (P-type container identification information indicated by “0x0000”) of the leading two-byte byte string of the header area of the container received by the receiving unit 131, and identifies the container received by the receiving unit 131. is a P-type container.

When the determining unit 132 determines that the container received by the receiving unit 131 is a P-type container, the reading unit 133 reads the required area of the header of the P-type container. More specifically, the reading unit 133 reads the attribute value of the 2-byte byte string at the beginning of the header area (the P-type container identification information indicated by “0x0000”) and the attribute value of the 2-byte byte string (“0x0123 ), and the structure information identified by the read data identification information is read from the structure information repository 200 (“Preset” shown in FIG. 8). For example, the reading unit 133 reads the byte length of the byte string indicating the data identification information (2 bytes), the byte length of the byte string indicating the sensor length information (1 byte), and the byte length of the byte string indicating the time stamp (TimeStamp). Read the structure information containing (4 bytes). Subsequently, the reading unit 133 reads the attribute value (sensor length information indicated by “0x0a”) of the 1-byte byte string following the 4-byte byte string from the beginning of the header area and the 4-byte byte string according to the read structure information. Read the column attribute value (timestamp indicated by "0x456789ab"). In this way, the reading unit 133 reads the attribute value of the 7-byte byte string corresponding to the header area from the beginning of the P-type container.

Subsequently, when reading the header area, the reading unit 133 reads the payload area following the header area. More specifically, the reading unit 133 reads a 7-byte byte string corresponding to the header area from the beginning of the P-type container, and reads the next byte string of the header area according to the read sensor length information indicated by "0x0a". The sensor value (“0x19191a .

FIG. 9 is a flow chart showing the processing procedure of the F-type container according to the embodiment. In FIG. 9, the receiving unit 131 receives an F-type container expressed in hexadecimal. The determination unit 132 reads the attribute value (F-type container identification information indicated by “0x0505”) of the byte string of the first 2 bytes of the header area of the container received by the reception unit 131, and determines the container received by the reception unit 131. is an F-type container.

When the determining unit 132 determines that the container received by the receiving unit 131 is an F-type container, the reading unit 133 reads the structure information included in the header area of the F-type container. More specifically, the reading unit 133 reads the byte length of the byte string indicating the data identification information ( 2 bytes). Subsequently, the reading unit 133 reads the attribute value (data identification information indicated by “0x0123”) of the 2-byte byte string following the byte length (2 bytes) of the byte string indicating the data identification information. Subsequently, the reading unit 133 reads the byte length (1 byte) of the byte string indicating the sensor length information following the 2-byte byte string attribute value (data identification information indicated by “0x0123”). Subsequently, the reading unit 133 reads the attribute value (sensor length information indicated by “0x0a”) of the 1-byte byte string following the byte length (1 byte) of the byte string indicating the sensor length information. Subsequently, the reading unit 133 reads the byte length (4 bytes) of the byte string indicating the time stamp (TimeStamp) following the 1-byte byte string attribute value (sensor length information indicated by “0x0a”). Subsequently, the reading unit 133 reads the attribute value (the time stamp indicated by “0x456789ab”) of the 4-byte string following the byte length (4 bytes) of the byte string indicating the time stamp (TimeStamp). In this way, the reading unit 133 reads the attribute value of the byte string corresponding to the header area from the top of the F-type container according to the structural information included in the F-type container.

Subsequently, when reading the header area, the reading unit 133 reads the payload area following the header area. More specifically, the reading unit 133 reads the byte string corresponding to the header area from the beginning of the F-type container, and reads the sensor length from the next byte string in the header area according to the read sensor length information indicated by "0x0a". The sensor value (“0x19191a...19”) in the payload area is read by reading the 10-byte length byte string indicated by the information.

FIG. 10 is a diagram showing an example of a processing procedure for collecting sensor data from the sensor device 10 to the cloud server 300. As shown in FIG. In the example shown in FIG. 10, the sensor device 10 is a temperature sensor. The sensor device 10, which is a temperature sensor, collects environmental temperature data (an example of sensor data) measured every minute and transmits the data to the information processing device 100 once every 10 minutes. Instead of transmitting the digital data to the information processing device 100 , the sensor device 10 may convert the digital data into a container and transmit the converted container to the information processing device 100 . For example, the sensor device 10 converts sensor data into a P-type container. Subsequently, the sensor device 10 transmits the P-type container to the information processing device 100 .

More specifically, the sensor device 10 determines that the amount of power that can be used when transmitting the sensor data to the information processing device 100 is equal to or less than the first threshold value, and that the environment is in an environment where the amount of power that can be used is small. When the sensor device 10 determines that the environment is one in which the amount of usable power is small, the sensor device 10 selects a P-type container with a smaller amount of data and generates the selected P-type container. Alternatively, when the sensor device 10 transmits the sensor data to the information processing device 100, the communication speed on the communication path that can be used is equal to or lower than the second threshold, and the communication speed on the usable communication path is low. It is determined that When the sensor device 10 determines that the communication speed of the usable communication path is low, it selects a P-type container with a smaller amount of data and generates the selected P-type container.

For example, the sensor device 10 generates a P-type container in which a byte string of 10 sensor values, which is a hexadecimal representation of 10 temperature data values measured once every 10 minutes, is stored in the payload area. . In the example of the table shown on the left end of FIG. The sensor value represented by '0x19' indicating '25' degrees, the sensor value represented by '0x1a' indicating '26' degrees measured at '13:02', ..., and '13:09' A P-type container is generated in which a byte string of sensor values indicated by "0x19191a...19" in which sensor values indicated by "0x19" indicating "25" degrees measured in " are stored in the payload area.

As attribute information, the sensor device 10 has a byte length (2 bytes) of a byte string indicating data identification information, a byte length (1 byte) of a byte string indicating sensor length information, and a byte indicating a time stamp (TimeStamp). Structural information including the byte length (4 bytes) of the column is stored in the structural information repository 200 in association with the data identification information.

For example, the sensor device 10 determines the acquisition time (for example, 2021/06/24 13 :09:00) to the timestamp. In this case, the acquisition time of the remaining 9 temperature data out of the 10 temperature data is set in the time stamp (for example, 2021/06/24 13:09:00), and is incremented by one minute. It is assumed that a rule is determined in advance to correspond to the time when the

After generating the P-type container, the sensor device 10 transmits the generated P-type container to the information processing device 100 . The receiving unit 131 of the information processing device 100 receives the P-type container from the sensor device 10 . The conversion unit 134 of the information processing apparatus 100 converts the P-type container received by the reception unit 131 into an F-type container. Subsequently, the transmission unit 136 of the information processing device 100 transmits the F-type container converted by the conversion unit 134 to the cloud server 300 .

More specifically, the conversion unit 134 determines that the amount of power that can be used when transmitting sensor data to the cloud server 300 exceeds the first threshold value, and that the environment is in an environment with a large amount of power that can be used. If the conversion unit 134 determines that the environment has a large amount of usable power, the conversion unit 134 converts the P-type container into an F-type container with a larger amount of data. Alternatively, the conversion unit 134 is in an environment where the communication speed on the communication path that can be used when transmitting the sensor data to the cloud server 300 exceeds the second threshold and the communication speed on the usable communication path is high. I judge. When the conversion unit 134 determines that the communication speed of the usable communication path is high, the conversion unit 134 converts the P-type container into an F-type container with a larger amount of data.

For example, the conversion unit 134 converts the attribute value (“0x0123 , and the structure information identified by the read data identification information is read from the structure information repository 200 . For example, the conversion unit 134 converts the byte length of the byte string indicating the data identification information (2 bytes), the byte length of the byte string indicating the sensor length information (1 byte), and the byte length of the byte string indicating the time stamp (TimeStamp). Read the structure information containing (4 bytes). Subsequently, according to the read structure information, the conversion unit 134 converts the attribute value (sensor length information indicated by “0x0a”) of the 1-byte byte string following the 4-byte byte string from the beginning of the header area and the 4-byte byte string Read the column attribute value (timestamp indicated by "0x456789ab"). Subsequently, the conversion unit 134 converts the P-type container into an F-type container by structuring the P-type container based on the read structural information. Also, the conversion unit 134 reads the sensor value (“0x19191a . The conversion unit 134 stores the read sensor value ("0x19191a...19") in the payload area of the F-type container.

The calculation unit 135 executes the Unmarshaler (calculation function) described with reference to FIG. The computation unit 135 performs computation and processing on containers. For example, upon receiving an input of a container, the computing unit 135 divides the input container data into a header area and a payload area. Subsequently, the calculation unit 135 reads the attribute values stored in the header area and the attribute values stored in the payload area according to the structure information read according to the container type. After reading the attribute values, the calculation unit 135 performs calculations on the attribute value group of one or more containers.

The calculation unit 135 reads, for example, a calculation procedure (also referred to as microcode) defined separately from the container and performs calculation on the container. The microcode is stored in a local file or a location that can be referred to by the computing unit 135 on the network.

The transmission unit 136 executes the Register (output function) described with reference to FIG. The transmission unit 136 outputs the container generated by the reception unit 131 or the conversion unit 134 and the container to which the calculation by the calculation unit 135 is applied to subsequent computational resources. For example, the transmission unit 136 uploads the container to the cloud server 300 and accumulates the container and the calculation result of the container in the database. Also, the transmission unit 136 feeds back the container to the user. For example, the transmission unit 136 visualizes and displays container data.

[4. effect〕
As described above, the information processing device 100 according to the embodiment includes the receiver 131 and the converter 134 . The receiving unit 131 receives the first container format which is a format of a container including sensor data detected by the sensor device 10 and attribute information to be added to the sensor data and which does not include structural information indicating the structure of the attribute information. A first container corresponding to the format is received. The conversion unit 134 converts the first container into a second container corresponding to a second format including structure information.

In this way, the information processing apparatus 100 can exchange sensor data using containers corresponding to two mutually convertible formats. As a result, the information processing apparatus 100 properly uses two different containers according to the amount of power that can be used when transmitting sensor data and the amount of resources such as the communication speed of the communication path that can be used. Allows data to be passed. Therefore, the information processing apparatus 100 can appropriately transfer sensor data according to the amount of communication resources.

The receiving unit 131 also receives a first container corresponding to the first format, which includes attribute values that are numerical values obtained by converting attribute information into digital data. The conversion unit 134 converts the first container into a second format corresponding to a second format including attribute identification information that can identify attribute information and attribute length information that indicates the length of attribute values in bytes, and attribute values. Convert to container. Also, the conversion unit 134 converts the first container into a second container corresponding to the second format, which includes structure information including attribute number information indicating the number of pieces of attribute information.

As a result, the information processing apparatus 100 can include structure information in an environment with few resources such as the amount of power that can be used when transmitting sensor data and the communication speed of a communication path that can be used, for example. Therefore, it is possible to exchange sensor data by using the first container containing minimal data with a small amount of data.

The receiving unit 131 also receives, as the attribute information, the first container corresponding to the first format, which includes data identification information capable of identifying structural information. When the receiving unit 131 receives the first container, the conversion unit 134 reads the structure information identified by the data identification information, which is the structure information defined separately from the first container, and converts the read structure information into Based on this, the first container is converted into a second container corresponding to the second format.

As a result, the information processing apparatus 100, for example, in an environment where there are many resources such as the amount of power that can be used when transmitting sensor data and the communication speed of the communication path that can be used, the amount of data that includes structure information is large. enables the passing of sensor data by a second container containing richer data.

The receiving unit 131 also receives from the sensor device 10 a first container corresponding to the first format, which includes sensor values, which are numerical values obtained by converting information about sensor data into digital data.

As a result, the information processing apparatus 100, for example, in an environment where there are few resources such as the amount of power that can be used when transmitting sensor data and the communication speed of a communication path that can be used, the amount of data that does not include structure information is reduced. To enable sensor data to be delivered by a first container containing less and minimal data.

The information processing apparatus 100 further includes a transmission section 136 . The transmitting unit 136 transmits the container received by the receiving unit 131 to the cloud server 300 . When transmitting the first container received by the receiving unit 131 to the cloud server 300, the converting unit 134 converts the first container into a second container corresponding to the second format. The transmission unit 136 transmits the second container converted by the conversion unit 134 to the cloud server 300 . Further, the conversion unit 134 converts the first container received by the reception unit 131 into the second container when the amount of power that can be used when transmitting the first container to the cloud server 300 exceeds the first threshold.

As a result, for example, in an environment where a large amount of power is available when transmitting sensor data, the information processing apparatus 100 uses the second container, which contains structural information and contains a large amount of data but richer data, to transmit the sensor data. Allows data to be passed.

Further, the conversion unit 134 converts the first container received by the reception unit 131 to the second container when the communication speed in the communication path that can be used when transmitting the first container to the cloud server 300 exceeds the second threshold. Convert.

As a result, for example, in an environment where there are many resources such as a communication speed in a communication path that can be used when transmitting sensor data, the information processing apparatus 100 can transmit rich data even though the amount of data is large due to the structure information. A second container that includes enables the passing of sensor data.

[5. Hardware configuration]
Also, the information processing apparatus 100 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 11, for example. FIG. 11 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus 100. As shown in FIG. Computer 1000 includes CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from another device via a predetermined communication network, sends the data to CPU 1100, and transmits data generated by CPU 1100 to another device via a predetermined communication network.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the information processing apparatus 100 , the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via a predetermined communication network.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

[6. others〕
Further, among the processes described in the above embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or described as being performed manually. All or part of the processing can also be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing content.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the identifying unit can be read as identifying means or a specific circuit.

1 information processing system 10 sensor device 100 information processing device 110 communication unit 120 storage unit 131 reception unit 132 determination unit 133 reading unit 134 conversion unit 135 calculation unit 136 transmission unit 200 structural information repository 300 cloud server

Claims (10)

Corresponding to a first format which is a format of a container containing sensor data detected by a sensor device and attribute information added to the sensor data and which is a format not containing structural information indicating the structure of the attribute information. a receiver that receives the first container;
a conversion unit that converts the first container into a second container corresponding to a second format that is a format that includes the structural information;
Information processing device. The receiving unit
receiving the first container corresponding to the first format including an attribute value that is a numerical value obtained by converting the attribute information into digital data;
The conversion unit
said structure information including attribute identification information capable of identifying said attribute information and attribute length information indicating a length in bytes of said attribute value and said first container corresponding to said second format including said attribute value; convert to a second container,
The information processing device according to claim 1 . The conversion unit
converting the first container into the second container corresponding to the second format including the structural information including attribute number information indicating the number of the attribute information;
The information processing apparatus according to claim 1 or 2. The receiving unit
receiving the first container corresponding to the first format including data identification information capable of identifying the structural information as the attribute information;
The conversion unit
When the receiving unit receives the first container, the structural information defined separately from the first container and identified by the data identification information is read, and the read structural information converting the first container into the second container corresponding to the second format based on
The information processing apparatus according to any one of claims 1 to 3. The receiving unit
receiving from the sensor device the first container corresponding to the first format containing a sensor value that is a numerical value obtained by converting information about the sensor data into digital data;
The information processing apparatus according to any one of claims 1 to 4. further comprising a transmitting unit that transmits the container received by the receiving unit to a cloud server;
The conversion unit
when transmitting the first container received by the receiving unit to the cloud server, converting the first container into the second container corresponding to a second format;
The transmission unit
transmitting the second container converted by the conversion unit to the cloud server;
The information processing apparatus according to any one of claims 1 to 5. The conversion unit
converting the first container into the second container when the amount of power that can be used when transmitting the first container received by the receiving unit to the cloud server exceeds a first threshold;
The information processing device according to claim 6 . The conversion unit
converting the first container into the second container when a communication speed in a communication path that can be used when transmitting the first container received by the receiving unit to the cloud server exceeds a second threshold;
The information processing apparatus according to claim 6 or 7. A computer-executed information processing method comprising:
Corresponding to a first format which is a format of a container containing sensor data detected by a sensor device and attribute information added to the sensor data and which is a format not containing structural information indicating the structure of the attribute information. a receiving step for receiving the first container;
a converting step of converting the first container into a second container corresponding to a second format, which is a format including the structural information;
Information processing method including. Corresponding to a first format which is a format of a container containing sensor data detected by a sensor device and attribute information added to the sensor data and which is a format not containing structural information indicating the structure of the attribute information. a receiving procedure for receiving the first container;
a conversion procedure for converting the first container into a second container corresponding to a second format, which is a format including the structural information;
An information processing program that causes a computer to execute

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