JP5505464B2 - Sensor data providing system, gateway, and abstracted sensor data generation method - Google Patents

Description

  The present invention relates to a sensor data providing system, a gateway, and an abstracted sensor data generation method. For example, the present invention relates to a sensor data providing system, a gateway, and an abstract that collect sensor data from various sensors and provide the sensor data to a context-aware device. The present invention can be applied to an integrated sensor data generation method.

  In recent years, various ubiquitous application services using various sensors have been studied.

  For example, as one of the ubiquitous services, there is a context-aware service that provides various conveniences by determining a situation around a target person or thing, performing appropriate information distribution, and automatic device control. Context-aware services include, for example, energy-saving management (eg, management of power consumption values of devices, etc.), residence management of fires and empty spaces (eg, temperature management of areas, etc.), personal health management of users, etc. Expected to be used in a wide range of fields.

  Patent Document 1 describes a technique for providing a context-aware service.

FIG. 10 shows a conventional overall configuration of a system that provides a context-aware service.

  In order to provide a context-aware service, for example, a user who contracts the service registers the service in the context-aware portal shown in FIG.

Each application (for example, server) periodically collects a large number of sensor data necessary for service provision, performs an analysis process using these many sensor data, and as shown in FIG. It is necessary to provide a configuration that provides services to users.

  In this type of service, settings such as the type of sensor data to be collected and the details of processing are required, but such information is set on each application side, for example. In response to a request from each application, actual sensor data that is raw data from each sensor node is given to each application. That is, each application acquires actual sensor data that is raw data from the sensor node, and performs analysis processing using the actual sensor data. Further, depending on the service to be provided, a plurality of applications may use the same sensor data. In this case, the plurality of applications collect the sensor data from the same sensor node.

JP 2007-287040 A

  By the way, as shown in FIG. 10, the correspondence between the sensor (type) and the event definition is one-to-one, and it is not considered to create a new sensor event for the existing sensor.

  For example, when handling statistical data events such as taking an average of some sensor values at a wide level such as a municipality, it is necessary for each application to grasp all sensors scattered in a wide range such as a municipality. there were. For example, when a sensor node is newly added, it is necessary to redefine a new sensor event in each application. As described above, when the burden on each application increases, it becomes difficult to maintain the service quality of the provided service, and it also affects the construction of a new service.

  In the case of a statistical sensor event as described above, sensor data related to all sensor events is transmitted from each sensor node to each application. Therefore, the communication amount of sensor data becomes enormous and it is required to improve the bandwidth efficiency of the entire network.

  Furthermore, as described above, even for the same sensor event, a sensor type must be defined for each application, and each application has to collect sensor data.

  Therefore, there is a need for a sensor data providing system, a gateway, and an abstract sensor data generation method that can easily provide a service using sensor data without considering each application while considering the communication efficiency of the entire network. Yes.

In order to solve such a problem, the sensor data providing system according to the first aspect of the present invention uses periodically detected sensor data from one or a plurality of sensor nodes having a periodically detecting sensor and a communication function. In a sensor data providing system that provides sensor data received from each sensor via a gateway to a server that performs an application, the gateway performs (1) one or more sensor data received from one or more sensor nodes . Sensor data storage means for storing attributes and sensor values ; (2) abstraction conversion rule storage means for storing abstraction conversion rules supplied in response to a request from a server that executes an application; and (3) abstraction conversion. In accordance with the abstraction conversion rules stored in the rule storage means, the sensors stored in the sensor data storage means Generates abstracted sensor data from Sadeta, and abstraction sensor data generating means for storing the attribute and the sensor value of the abstract sensor data to the sensor data storage means, sensors produced by (4) abstract sensor data generating means Data providing means for providing the server with attributes and sensor values of the abstracted sensor data stored in the data storage means .

The gateway according to the second aspect of the present invention includes a sensor and a communication function for periodically detecting, and one or a plurality of sensors for sending sensor data periodically detected by the sensor, and an application using the sensor data. (1) sensor data storage means for storing one or more sensor data attributes and sensor values received from one or more sensor nodes, and (2) an application Abstraction conversion rule storage means for storing abstraction conversion rules supplied in response to a request of the server to be performed, and (3) sensor data storage means in accordance with the abstraction conversion rules stored in the abstraction conversion rule storage means It generates abstracted sensor data from the sensor data stored in the attribute and the sensor value of the abstract sensor data And abstraction sensor data generating means for storing the Nsadeta storage unit, (4) data for providing attributes and sensor values of abstraction sensor data stored in the generated sensor data storage means by abstraction sensor data generation means to the server Providing means.

According to a third aspect of the present invention, there is provided an abstracted sensor data generation method including one or a plurality of sensors that are provided with a periodically detecting sensor and a communication function, and that transmit sensor data periodically detected by the sensor; In a method for generating abstract sensor data in a gateway provided with a server that performs an application using a sensor, (1) a sensor that receives attributes and sensor values of one or more sensor data received from one or more sensor nodes Stored in the data storage means, (2) the abstraction conversion rule supplied in response to the request of the server executing the application is stored in the abstraction conversion rule storage means, and (3) stored in the abstraction conversion rule storage means In accordance with the abstraction conversion rule, the abstracted sensor data generation means is generated from the sensor data stored in the sensor data storage means. There generates abstracted sensor data, stores the attribute and the sensor value of the abstract sensor data in the sensor data storage unit, (4) the abstract stored in the generated sensor data storage means by abstraction sensor data generating means The data providing means provides the server with the attribute and sensor value of the digitized sensor data .

  According to the present invention, it is possible to easily provide a service using sensor data without considering each application, while considering the communication efficiency of the entire network.

It is a whole lineblock diagram showing the whole sensor data offer system composition of an embodiment. It is an internal block diagram which shows the internal structure of the sensor data provision apparatus of embodiment. It is an internal block diagram which shows the internal structure of the gateway of embodiment. It is a block diagram which shows the structural example of the generalized sensor data of embodiment. It is explanatory drawing explaining the structure of the abstraction rule of embodiment. It is a flowchart which shows operation | movement of the sensor data provision process of embodiment. It is explanatory drawing explaining the conversion to the abstraction sensor data of embodiment (the 1). It is explanatory drawing explaining the conversion to the abstraction sensor data of embodiment (the 2). It is explanatory drawing explaining the conversion rule of unification of the sensor data format of embodiment. It is a block diagram which shows the structural example of the system which implements the conventional context aware service.

(A) Main Embodiment Hereinafter, embodiments of a sensor data providing system, a gateway, and an abstracted sensor data generation method of the present invention will be described with reference to the drawings.

(A-1) Configuration of Embodiment FIG. 1 is an overall configuration diagram showing an overall configuration of a sensor data providing system of this embodiment. 1, the sensor data providing system 5 of this embodiment includes a plurality (four in FIG. 1) of sensor nodes 2 (2-1 to 2-4), a gateway 3 (3-1 to 3-2), and sensors. The data providing apparatus 1 and the application 4 (4-1 to 4-2) are provided at least.

  The sensor node 2 periodically detects various data and sends it as sensor data. The object detected by the sensor node 2 is not particularly limited and can be widely applied. For example, there are various information such as temperature, humidity, power value, vibration value, illuminance, and human detection.

  The application 4 is a processing unit or device (for example, a server) that provides a context-aware service. The application 4 provides a predetermined application using the sensor data transferred from the sensor data providing apparatus 1.

  The sensor data providing device 1 transfers the input sensor data to the application 4 via the gateway 3. The sensor data providing apparatus 1 accumulates sensor data, generates new sensor data using input sensor data and accumulated sensor data, and transmits the new sensor data to the application 4.

  FIG. 2 is an internal configuration diagram showing an internal configuration of the sensor data providing apparatus 1. As shown in FIG. 2, the sensor data providing apparatus 1 has a data receiving unit 101, a data input unit 102, a data conversion unit 103, a data providing unit 104, a sensor data database (DB) 105, and an abstract rule storage unit 106. .

  The data receiving unit 101 is a processing unit or device that takes in the sensor data transferred from the gateway 3 and gives the sensor data to the data input unit 102 and the data conversion unit 103.

  The data input unit 102 has a function of giving the sensor data received from the data receiving unit 101 to the sensor data DB 105.

  The data converter 103 abstracts the contents of the sensor data received from the data receiver 101 with reference to the abstract rules stored in the abstract rule storage 106 and converts them into abstract sensor data.

  When receiving a request from the application 4, the data providing unit 104 is a processing unit or device that reads out sensor data corresponding to the request from the sensor data DB 105 and transmits it to the application 4.

  The sensor data DB 105 is a storage area for storing sensor data from the data input unit 102. The sensor data DB 105 is a storage area for storing abstracted sensor data abstracted and converted by the data conversion unit 103.

  The abstract rule storage unit 106 is a storage area for storing a rule for conversion into abstract sensor data.

  The sensor node 2 has a sensor and a communication function. The type of sensor of the sensor node 2 is not particularly limited, and various types can be applied. For example, a sensor that detects various things such as temperature, humidity, power value, vibration value, illuminance, and human detection can be applied. Further, the communication function of the sensor node 2 is not particularly limited as long as wireless communication or wired communication can be performed. The sensor node 2 transmits the sensor data periodically detected by the sensor to the surrounding sensor node 2 or the gateway 3 using the communication function, and finally transmits to the application 4. The sensor data (actual sensor data) transmitted by the sensor node 2 includes only simple data such as sensor type and sensor value.

  The gateway 3 is a network device having a function of transferring the sensor data received from the sensor node 2 to the sensor data providing device 1. The gateway 3 may be connected to a plurality of sensor nodes 2 so that sensor data received from the plurality of sensor nodes 2 can be transferred. The gateway 3 can be applied as a general gateway, a home gateway, or the like, for example. For example, when the gateway 3 is a home gateway, sensor data in the home is transferred to the sensor data providing apparatus 1 installed outside the house.

  The gateway 3 has a function of converting the sensor-specific data format of the sensor data received from the sensor node 2 into a unified data format uniquely determined by the sensor data providing apparatus 1.

  FIG. 3 is an internal configuration diagram showing an internal configuration of the gateway 3. In FIG. 3, the gateway 3 includes at least a data reception unit 301, a data conversion unit 302, an additional information addition unit 303, a data transmission unit 304, a conversion rule input unit 305, and a conversion rule storage unit 306.

  The data receiving unit 301 is a processing unit or device that receives data to be transferred to the sensor data providing server 1 among the data transmitted by the sensor node 2. For example, if the transmission destination of the received packet is the application 4 in which the sensor data providing apparatus 1 provides the sensor data, the data receiving unit 301 takes in the sensor data included in the packet.

  The data conversion unit 302 converts the sensor data captured by the data reception unit 301 into a unified format using the conversion rules stored in the conversion rule storage unit 306.

  The additional information adding unit 303 adds predetermined additional information to the data converted into the unified format by the data converting unit 302. For example, additional information such as position information of the sensor node 2 to be connected is registered in the gateway 3 in advance, and the additional information adding unit 303 creates the additional information using the registered information.

  FIG. 4 is an explanatory diagram illustrating an example of information to which additional information is added by the additional information adding unit 303. Here, for example, it is assumed that the data conversion unit 302 has converted into data including “sensor type” and “sensor value” in a unified format. At this time, the additional information adding unit 303 adds additional information such as “time”, “home position (position)”, “user (position)”, “location name (position)” to the unified sensor data. Is illustrated. Additional information is not limited to time information and position information.

  The data transmitting unit 304 is a processing unit or device that transmits the sensor data converted by the additional information adding unit 303 to the sensor data providing apparatus 1.

  The conversion rule input unit 305 receives a unified rule for standardizing the sensor data format and registers it in the conversion rule storage unit 306. Here, the unification rule (conversion rule) may be supplied from the sensor data providing apparatus 1, or may be supplied from a manufacturer (manufacturer) server that manufactured the sensor. In this embodiment, the case where it supplies from the sensor data provision apparatus 1 is illustrated.

  The conversion rule storage unit 306 stores conversion rules that are data fortification rules.

  The data conversion unit 302 and the additional information adding unit 303 may be provided in the sensor node 2 or the sensor data providing device 1. If it is provided in another device, it may be transmitted directly from the sensor node 2 to the sensor data providing device 1.

(A-2) Operation | movement of embodiment Next, operation | movement of the sensor data provision process by the sensor data provision apparatus 1 of this embodiment is demonstrated, referring drawings.

  In the operation of the following embodiment, a case where an average temperature in a relatively wide range such as a municipality is provided will be described as an example of a service.

  In the sensor node 2, the sensor periodically detects and transmits the detected sensor data to the gateway 3. When the gateway 3 receives the sensor data to be transferred to the sensor data providing apparatus 1, the gateway 3 converts the sensor data into a general format and adds additional information, and transmits the sensor data to the sensor data providing apparatus 1 as generalized sensor data. To do.

  Here, the generalized sensor data illustrated in FIG. 4 is input to the sensor data providing apparatus 1. As shown in FIG. 4, for example, generalized sensor data includes additional information such as sensing time and position information in addition to the sensor type and sensor value. For example, in the generalized sensor data illustrated in FIG. 4, the sensor type is “temperature”, the sensor value is “25.8 (degrees)”, and the sensing time is “20103/4 10:40:02”. Yes, it is indicated that the user is “user A” and the place name (address) of the sensing position is “home” of “○ prefecture Δ city □ 1 chome 2 address”.

(A-2-1) Creation of abstraction rules In the sensor data providing apparatus 1, abstraction rules are created in advance, and the abstraction rules are registered in the abstraction rule storage unit 106. Therefore, here, creation of abstraction rules will be described.

  The abstraction rule is a rule for extracting characteristics of sensor data according to attributes (for example, sensor type, position information, etc.). What should be noted here is that the application 4 requests sensor data of a sensor type necessary for the service, so that the sensor data providing apparatus 1 can provide data corresponding to the request. Therefore, the abstraction rule includes rules such as a sensor attribute required by the application 4 and a sensor value conversion method according to the request.

  FIG. 5 is an explanatory diagram illustrating a configuration example of the abstraction rule. The abstraction rule illustrated in FIG. 5 includes “target position”, “target sensor type”, “conversion method”, and “sensor type” as items.

“Target position” indicates the position where the sensor data is acquired, and “Target sensor type” indicates the type of sensor.

  “Conversion method” indicates a conversion method for generating extracted data. For example, assuming that “conversion method: simple average”, sensor data corresponding to “target position” and “target sensor type” is extracted, the sensor data is simply averaged, and the obtained value is used as abstract data. . In addition, various methods can be determined as the “conversion method”, and may be, for example, a change amount of a sensor value, an average of values exceeding (or not exceeding) a threshold value, and the like.

  “Sensor type” is a content type of sensor data. For example, the sensor type “temperature” illustrated in FIG. 4 may be variously considered, for example, the temperature of a device or an object, or the temperature of a person, but the sensor type “temperature” is “local temperature”. Show.

  The designation of “target position” need not be created in advance for a fixed range such as a place name, and may be registered when acquisition control is received from the application 4.

(A-2-2) Abstracted Sensor Data Generation Processing FIG. 6 is a flowchart showing the operation of abstracted sensor data generation processing in the sensor data providing apparatus 1.

  When sensor data is received by the sensor data providing device 1 (step S1), the sensor data is registered in the sensor data DB 105 by the data input unit 102 via the data receiving unit 101 (step S2).

  The received sensor data is given to the data conversion unit 103. Based on the information included in the sensor data, the data conversion unit 103 searches the abstract rule storage unit 103 to determine whether there is an abstract rule for abstracting the sensor data (step S3).

At this time, if the abstraction rule cannot be retrieved, the data conversion process is terminated (step S7).

  For example, it is assumed that generalized sensor data as shown in FIG. 4 is received. Since the sensor type “temperature” and the position information “○ prefecture △ city □” included in the sensor data are included, the abstraction rule of the target sensor type “temperature” and the target position “○ prefecture △ city □” that match this is included. (See FIG. 5).

  Here, the case where the abstract rule is searched using “sensor type” and “position information” as keys is shown, but the abstract rule using one or more pieces of information included in the sensor data as keys. You may make it search. A plurality of abstraction rules may be searched from one sensor data.

  When searching for the abstraction rule, the data conversion unit 103 searches the sensor data DB 105 for other sensor data belonging to the attribute defined in the abstraction rule (step S4).

  For example, the sensor data DB 105 is searched for one or a plurality of sensor data belonging to the attribute “temperature data of ○ prefecture Δ city □”. At this time, for example, when sensor data for a plurality of users is searched, one sensor data (for example, only the latest data) of each user stored in the sensor data DB 105 may be extracted. A plurality of sensor data of the user may be extracted. Further, for example, the extraction range is not particularly limited, such as extracting data of the past day of each user. Further, for example, the data conversion unit 103 may use past abstracted sensor data belonging to the attribute of the abstract rule stored in the sensor data DB 105.

  When the data conversion unit 103 searches the sensor data DB 105 for sensor data belonging to the attribute of the abstraction rule, the sensor value is obtained using the conversion method defined in the abstraction rule using the current sensor data and the searched sensor data. Is converted (step S5).

  FIG. 7A is an example of sensor data having an attribute of “○ prefecture Δ city □ temperature data”, and FIG. 7B is an abstraction of an attribute of “○ prefecture Δ city □ temperature data”. It is explanatory drawing explaining an example of sensor data.

  As shown in FIG. 7A, it is assumed that the sensor data of user A to user D is retrieved as sensor data having an attribute of “○ prefecture Δ city □ temperature data”. Since the conversion method of the abstract rule is a simple average, the data conversion unit 103 calculates “25.6 (° C.)” by simply averaging the sensor values of each sensor data. This temperature is the abstraction temperature of “○ prefecture Δ city □”.

  Further, for example, another method for obtaining the abstraction temperature in the case of the above example may be used.

That is, in the above example, all the sensor data in the target range is searched in step S4, but the immediately preceding abstracted temperature (that is, abstracted sensor data) may be used from the sensor data DB 105. In this case, the data conversion unit 103 extracts “abstracted temperature just before ○ prefecture Δ city □” from the sensor data DB 105. Then, the average of the abstracted temperature sensor values may be updated by using the “abstracted temperature immediately before ○ prefecture Δ city □”, the input sensor data, and the total number of sensor data in the target range.

  The method for calculating the abstraction temperature in this example is not particularly limited, but for example, Equation (1) can be used. In addition, it is not limited to Formula (1), You may make it use another function type | formula according to the attribute of an abstraction rule, and the sensor value calculated | required.

(Updated abstraction temperature)
= {Abstract abstraction temperature immediately before x (total number-1) / total number + input sensor value / total number} (1)
Further, the data conversion unit 103 may obtain abstract sensor data of another abstract rule using the abstract sensor data stored in the sensor data DB 105. For example, the abstracted sensor data of “○ prefecture” may be obtained. In this case, for example, a wide range of abstract sensor values may be calculated hierarchically, such as calculating the abstract sensor data for each municipality in “○ prefecture”. This is particularly effective when there is a statistical application such as wanting sensor data in units of municipalities or prefectures.

  Next, the data conversion unit 103 registers the obtained abstracted sensor data in the sensor data DB 105 (step S6).

  For example, when the data conversion unit 103 converts the sensor data illustrated in FIG. 7A to the abstracted sensor data illustrated in FIG. 7B, the “sensor type” illustrated in FIG. Abstracted sensor data that has an abstracted “temperature”, a “temperature” of “25.6 (° C.)”, and a “location (place name)” of “○ prefecture Δ city □” is registered in the sensor data DB.

(Another example of abstracted sensor data)
Another example of abstracted sensor data will be described. In the above example, the attribute of the abstraction rule is the position (or space), and the case where the sensor data of the target sensors belonging to the position (or space) is integrated is illustrated. However, abstraction is not limited to position (or space) attributes. For example, a change on the time axis may be abstracted.

  FIG. 8 shows an example in which changes on the time axis are abstracted and converted into abstracted sensor data.

As changes on the time axis, the same type of sensor data may be used, or abstract sensor data obtained by integrating different types of sensor data may be used. FIG. 8 exemplifies a case of converting to abstract sensor data using different types of sensor data.

  FIG. 8A shows sensor data of the temperature fluctuation amounts of the users A to D. The conversion method is a simple average. In this case, the data conversion unit 103 obtains the abstract temperature fluctuation amount “0.4” using each sensor data of FIG. That is, as shown in FIG. 8B, the data conversion unit 103 is “variation amount” obtained by abstracting “sensor type”, “temperature” is “0.4 (° C.)”, and “position (location name). ) ”Is obtained as“ * prefecture Δ city □ ”, and the abstracted sensor data is registered in the sensor data DB.

(A-2-3) Data acquisition processing by application The application 4 selects the target sensor type required for the service without distinguishing between data input from the sensor node 2 to the sensor data providing apparatus 1 and abstracted sensor data. Requests sensor data by designating.

  In other words, the application 4 can acquire the abstracted sensor data from the sensor data providing apparatus 1 as long as it is sensor data of the target sensor type necessary for the service.

  Therefore, when the sensor data providing apparatus 1 receives from the application 4 an acquisition request signal including, for example, “position: ○ prefecture Δ city □” and “sensor type: temperature sensor”, “position: ○ prefecture Δ city □”. Then, the sensor data DB 105 is searched using “sensor type: temperature sensor” as a keyword, and the corresponding abstracted sensor data is responded to the application 4.

(A-2-4) Generation of unified sensor data Before the conversion process to the abstracted sensor data by the sensor data providing apparatus 1, if the sensor data format is not unified, a reliable abstraction is generated. I can't do it enough.

  In this embodiment, the gateway 3 unifies the format of sensor data.

  Note that the format unification may be performed before the abstraction of the sensor data, so that the sensor data providing apparatus 1 may perform it before the abstraction change, or may be performed by the sensor node 2. .

  For example, when a new sensor type is defined or when unified formatting is defined, a conversion rule for converting a data format unique to the sensor into a unified data format is prepared.

  This conversion rule may be prepared in the configuration of the sensor data providing system 5, and may be stored in the sensor data providing apparatus 1, for example, or stored in another conversion rule server or the like (not shown). It may be.

  FIG. 9 is an explanatory diagram showing an example of a correspondence relationship between the format of the temperature sensor and the data format of the unified sensor data.

  In FIG. 9, for example, “sensor 1” indicates a case where the unit is “° C. (Celsius temperature)” and the effective number is “0.001”. “Sensor 2” indicates a case where the unit is “K (Kelvin temperature)” and the effective number is “0.01”. “Sensor 3” is, for example, an element having temperature resistance characteristics (for example, a thermistor element), and the unit is “Ω” and the effective number is “1”.

  In the “unified temperature sensor” of the unified data format, the unit is “° C.” and the significant figure is “0.1”. Therefore, the conversion method for normalizing the sensor value is described in “Conversion”. For example, since the unit of “sensor 2” is “K”, the conversion formula “value (sensor value) -273.2” is used to convert the unit to “° C.” of the unified temperature sensor. .

  When the gateway 3 is connected to the sensor node 2, the gateway 3 takes in the conversion rules relating to the sensors in the sensor node 2 from, for example, the sensor data providing device 1 and registers them in the conversion rule DB 3056.

  When sensor data is received from the sensor node 2 after the completion of such initial operation, the data conversion unit 302 converts the sensor value into a unified sensor value, for example, ° C. (Celsius temperature) if temperature.

  Next, the additional information adding unit 303 adds additional information other than the sensor type and sensor value as shown in FIG. As for the additional information, the gateway 3 registers the position of each sensor of the sensor node 2 in advance, and adds information about the sensor using this information.

  Then, the formed sensor data is transmitted from the data transmission unit 303 to the sensor data providing unit 1.

(A-3) Effect of Embodiment As described above, according to this embodiment, the sensor data providing apparatus 1 performs an integration / abstraction process based on, for example, position, time, etc., on a plurality of sensor data, thereby abstracting the data. By providing the sensor data after processing to the application 4 as a sensor event, there is an effect that it is not necessary to acquire all the actual sensor data (sensor data transmitted by the sensor node) that the application 4 needs.

  In the embodiment, the abstracted sensor data has the same definition as the actual sensor data. As a result, the application 4 can acquire the abstracted sensor data in the same manner as the actual sensor data acquisition control. Moreover, even if a new sensor is added, the application need not be conscious, and a new service using sensor data can be easily constructed.

  Furthermore, in the embodiment, by performing the abstraction process before providing it to the application, when the same abstract sensor data is used or the abstract sensor data value including another abstract sensor data is calculated. When abstracted sensor data can be shared by a plurality of applications, it is possible to obtain an effect of being more efficient than calculating each application individually.

(B) Other Embodiments In the above-described embodiments, the sensor node, the gateway, the sensor data providing device, and the application are connected in this order. However, other devices may be included. If the function is shared with others, some of these devices may be omitted.

  In the embodiment described above, the unification process and the abstraction process of the data format of sensor data can be realized by so-called software processing. For example, a gateway or a sensor data providing device is composed of a CPU, ROM, RAM, EEPROM, etc., and the CPU reads a processing program stored in the ROM and executes it using the processing program and data necessary for the processing. Thus, these processes are realized.

1 ... Sensor data providing device,
101 ... Data receiving unit, 102 ... Data input unit, 103 ... Data converting unit,
104 ... Data providing unit, 105 ... Sensor data DB, 106 ... Abstraction rule storage unit, 3-1 to 3-2 ... Gateway,
301: Data receiving unit, 302 ... Data converting unit, 303 ... Additional information adding unit,
304 ... Data transmission unit, 305 ... Conversion rule input unit, 306 ... Conversion rule storage unit,
2-1 to 2-4 ... sensor node, 4-1 to 4-2 ... application,
5 ... Sensor data providing system.

Claims (4)

Sensor data received from each sensor node via a gateway to a server that performs an application using sensor data periodically detected and sensor data periodically detected from one or more sensor nodes having a communication function In the sensor data providing system that provides
The gateway is
Sensor data storage means for storing attributes and sensor values of one or more sensor data received from the one or more sensor nodes;
Abstraction conversion rule storage means for storing an abstraction conversion rule supplied in response to a request from the server that performs the application;
In accordance with the abstraction conversion rule stored in the abstraction conversion rule storage unit, abstracted sensor data is generated from the sensor data stored in the sensor data storage unit, and the attribute and sensor value of the abstracted sensor data are set. Abstracted sensor data generation means to be stored in the sensor data storage means ;
And a data providing means for providing the server with attributes and sensor values of the abstracted sensor data generated by the abstracted sensor data generating means and stored in the sensor data storage means. . The server and the gateway are connected via a sensor data providing device,
The sensor data providing apparatus includes an abstraction conversion rule storage unit that stores an abstraction conversion rule having an abstraction target attribute and a sensor value abstraction conversion method, and based on a request of the server that performs the application, The sensor data providing system according to claim 1, wherein an abstraction conversion rule corresponding to the request of the server is supplied to the gateway. Provided between one or a plurality of sensor nodes having a sensor for periodically detecting and a communication function and sending sensor data periodically detected by the sensor and a server for executing an application using the sensor data. In the gateway
Sensor data storage means for storing attributes and sensor values of one or more sensor data received from the one or more sensor nodes;
Abstraction conversion rule storage means for storing an abstraction conversion rule supplied in response to a request from the server that performs the application;
In accordance with the abstraction conversion rule stored in the abstraction conversion rule storage unit, abstracted sensor data is generated from the sensor data stored in the sensor data storage unit, and the attribute and sensor value of the abstracted sensor data are set. Abstracted sensor data generation means to be stored in the sensor data storage means ;
And a data providing unit that provides the server with attributes and sensor values of the abstracted sensor data generated by the abstracted sensor data generating unit and stored in the sensor data storage unit . Provided between one or a plurality of sensor nodes having a sensor for periodically detecting and a communication function and sending sensor data periodically detected by the sensor and a server for executing an application using the sensor data. In the abstract sensor data generation method in the gateway,
Storing one or more sensor data attributes and sensor values received from the one or more sensor nodes in a sensor data storage means;
Storing the abstraction conversion rule supplied in response to the request of the server performing the application in the abstraction conversion rule storage means;
In accordance with the abstraction conversion rule stored in the abstraction conversion rule storage means, the abstracted sensor data generation means generates abstracted sensor data from the sensor data stored in the sensor data storage means, and the abstraction Storing sensor data attributes and sensor values in the sensor data storage means ;
Abstracted sensor data generation characterized in that data providing means provides the server with attributes and sensor values of abstracted sensor data generated by the abstracted sensor data generating means and stored in the sensor data storage means Method.

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