JP6017411B2 - Data-related information processing apparatus and program - Google Patents

Description

  The present invention relates to a data-related information processing apparatus and program for processing data-related information used for analyzing data related to devices.

  Various equipment such as lighting and air conditioners are installed in buildings and plants, etc., but the provider of monitoring services for buildings and plants, etc. regularly or periodically The device is monitored by acquiring it. As data to be acquired, for example, when the device to be monitored is an air conditioner, there are a set temperature, an actually measured temperature, an air conditioning state, a voltage value, a current value, a pressure value, and the like. The acquired data may range from several thousand to several tens of thousands depending on the size of the building, but each data is given and stored with a data name for identification. The data name given to the data related to the device includes, for example, a term indicating the installation location of the device, a term indicating the type of data, a term indicating the type of device, and the like.

  Monitoring service providers are not limited to merely monitoring devices, but are conducting device diagnosis and energy-saving analysis based on acquired data based on support contracts. The analysis identifies the type of equipment to be analyzed, the installation location, etc., extracts the data corresponding to the specified model, etc. from the accumulated data, and specially analyzes the extracted data Done with tools. In order to perform analysis using the analysis tool, it is necessary to generate input parameters to the analysis tool. Conventionally, as preparation for input parameter generation, information (entity name) indicating the installation location of the device and the type (equipment name) of the device by analyzing the notation of the data name, and the item of the data (signal name) Information (property name) to be shown is extracted in advance, and data related information including the information and data name is generated in advance.

JP 2010-122792 A JP-A-11-353316 JP 2012-118977 A

  In order to obtain appropriate analysis results by device diagnosis and analysis for energy saving, it is necessary to extract appropriate data, but the data extraction for the analysis is the installation location of the device identified from the data name, This is based on the type and signal name. However, although there are certain naming conventions, the names of the data names are indicated by persons other than analysts who perform equipment diagnosis and analysis, etc. Shaking can occur. For example, in the case of data indicating temperature, the data name may be expressed as “temperature” or may be expressed as “Temp”.

  As described above, in order to output an appropriate analysis result to the analysis tool, it is necessary to be able to accurately specify the installation location, equipment name, and data signal name corresponding to the data from the data name. If there is a fluctuation in the representation of the data name, the entity name and property name generated from the data name are likely to be affected by the fluctuation. Conventionally, it is possible to unify the terms included in the data name by using a word dictionary or a predetermined conversion rule and accurately indicate the installation location, etc., as long as the data name is easy to shake. It may be.

  However, it is impossible to guess in advance all the fluctuations in the notation of data names that are manually input and set and register them in the word dictionary in advance, and for example, terms indicating signal names to be included in the data names If the is missing, the signal name cannot be specified using the word dictionary.

  The present invention refers to data-related information including information necessary for analysis, and corrects or supplements a term that specifies the installation location and type of equipment to be included in the data-related information or a term that specifies a data signal name. With the goal.

The data-related information processing apparatus according to the present invention includes an installation location term indicating an installation location of a device to be detected by a sensor, an equipment type term indicating the type of the device, and an output type term indicating the type of an output signal from the sensor. Data related information generated for each output value based on the data name information associated with each output value of a plurality of sensors, including device location terms and device type terms An acquisition means for acquiring a plurality of data related information used for extracting an output value of a sensor to be analyzed among data related information each including a term and an output type term as item values; and the acquisition means a plurality of data-related information modified or supplemented target device specific terms or output type terms contained in, equipment specific of the correction object obtained by Or the item value or modified-complementing means for correcting or complementing on the basis of the plurality of data-related information included in the data-related information including the output type terms, and has a.

  In addition, the correction / complementation means includes an inclusion relationship in the notation of the device specific term included in any of the data related information among the plurality of data related information acquired by the acquisition means. If the notation of the related device identification term matches the same preset condition, the type and location of the device identified from the device identification term are determined to be the same, and the notation of the device identification term matches The data-related information is corrected according to the correction rule of correcting the data.

  In addition, the correction rule includes a rule for correcting the notation of the other device-specific terms so that the notation of the device-specific terms matches the notation of the device-specific terms including all other device-specific terms. It is what has been.

  Further, the data related information further includes signal type information indicating a signal type to which an output signal from the sensor belongs, and the correction / complementing means includes a plurality of data related information acquired by the acquiring means. If there is data related information that does not include the output type term that should be included in the data related information, the output to be included in the data related information based on the signal type information included in the data related information Data-related information is supplemented according to the supplementation rule of supplementing type terms.

  The complement rule includes a rule for complementing output type terms to be included in the data related information with reference to a correspondence table between signal type information and output type terms.

  Also, a first data related information group consisting of a plurality of data related information with the same device specific term notation, and a device specific term different from the first data related information group, the device specific term notation If the output type term of the second data related information group consisting of a plurality of data related information with the same is matched, the synonym was defined with each word of the different notation part among the device specific terms as synonyms Synonym adding means for adding to the term definition information, and the correction / complementation means includes the term definition information when there are device specific terms having different notations in the plurality of data related information acquired by the acquisition means. It is determined whether or not the type and installation location of the device specified from the device specifying term are the same.

The program according to the present invention includes a computer, an installation location term indicating an installation location of a device to be detected by the sensor, an equipment type term indicating the type of the device, and an output type term indicating the type of an output signal from the sensor. Data-related information generated for each output value based on data name information associated with each output value of a plurality of sensors, including device location terms and device type terms Acquisition means for acquiring a plurality of data related information used for extracting the output value of the sensor to be analyzed among the data related information each including the output type term as an item value, acquired by the acquisition means and a plurality of data-related information modified or device specific terminology complement target or output type terms contained in, of the correction target device specifying It is intended to function words or item value or the plurality of data-related information modified or supplemented to modify or supplement means based on included in the data-related information including the output type The term.

  According to the present invention, a term that specifies the installation location and type of equipment included in data-related information including information necessary for analysis, or a term that specifies the signal name of data is included in other data-related information. It can be corrected or supplemented on the basis of item information or other data related information classified into the same set in order to extract data to be analyzed.

  In addition, since the notation of the device specific term determined as a synonym is modified to match the notation of the device specific term including all the notations of other device specific terms, the information represented by the device specific terms Don't miss it.

  In addition, when there is a second data related information group that matches the output type term in the first data related information group, different notation parts of the device specific terms in the first data related information group and the second data related information group Each word can be added to the term definition information as a synonym.

1 is an overall configuration diagram of a data analysis system having an embodiment of a data-related information processing apparatus according to the present invention. It is a hardware block diagram of the data related information correction / complementation apparatus in this Embodiment. It is a block block diagram of the data relevant information correction / complementation apparatus in this Embodiment. It is a flowchart which shows the correction / complementation process of the data relevant information in this Embodiment. It is a flowchart which shows the entity name conversion process in this Embodiment. It is a figure which shows an example of the data relevant information processed by the entity name conversion process in this Embodiment. It is a figure which shows the data relevant information after processing the data relevant information shown to FIG. 6A by the entity name conversion process in this Embodiment. It is a flowchart which shows the property name conversion process in this Embodiment. It is a figure which shows an example of the data relevant information processed by the property name conversion process in this Embodiment. It is a figure which shows the data relevant information after processing the data relevant information shown to FIG. 8A by the property name conversion process in this Embodiment. It is a flowchart which shows the feedback process 1 in this Embodiment. It is a figure which shows an example of the data relevant information processed by the feedback process 1 in this Embodiment. It is a flowchart which shows the feedback process 2 in this Embodiment. It is a figure which shows an example of the data relevant information processed by the feedback process 2 in this Embodiment.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is an overall configuration diagram of a data analysis system having an embodiment of a data-related information processing apparatus according to the present invention. The data analysis system in the present embodiment acquires data related to various devices such as air conditioners, lighting, and substation equipment installed in the building 1, and extracts data to be analyzed based on the data names given to the data Then, analysis and diagnosis are performed based on the extracted data. Although only one building 1 is shown in FIG. 1, data from a plurality of buildings 1 may be acquired for analysis, diagnosis, or the like.

  The building 1 is, for example, an office building or a plant. Various devices that detect various data are attached to the devices installed in the building 1, and the data detected by the sensors is transmitted to the data collection device 3 via the network 2. The data is associated with a data name for identifying the data. This data name is created by the user of the building 1, for example.

  Various data collected by the data collection device 3 is stored in the data storage unit 41 of the data management system 4. The data names associated with the data are listed and stored in the data name list storage unit 42 as a data name list. The data management system 4 is formed by one or a plurality of computers. Each storage unit 41, 42 is realized by one or a plurality of hard disk drives (HDDs) mounted on a computer.

  The data related information generation device 5 extracts a set of data names (analysis target data name set) assigned to each data to be analyzed from the data name list stored in the data management system 4. Further, the data-related information generation device 5 analyzes each data name included in the extracted analysis target data name set to identify the type and installation location of the device from which the data was acquired, the signal name of the data, and the like. Then, data-related information is generated using the identified information as data items. Then, a set of data related information (data related information group) is generated by grouping the generated data related information in the analysis target data name set.

  The analysis target data name set may be generated using, for example, a data name extraction device or a program described in a patent application (Japanese Patent Application No. 2013-094260) by the same patent applicant as the present application.

  There is a possibility that the notation such as the type of device included in the data related information may fluctuate depending on the data name. The data-related information correction / complementation apparatus 10 which is an embodiment of the data-related information processing apparatus according to the present invention performs correction / complementation so as to eliminate the fluctuation of the notation of item data and to prevent item data from being lost. .

  The data extraction device 6 extracts the data with the data name extracted by the data related information generation device 5 from the data storage unit 41 as analysis target data. The analysis device 7 performs diagnosis and analysis of the analysis target device based on the analysis target data.

  In the present embodiment, the data analysis system is configured as described above. However, the present invention is not limited to this. For example, each of the devices 5 to 7 and 10 is configured by a plurality of devices. May be.

  FIG. 2 is a hardware configuration diagram of a computer that forms the data-related information correction / complementation apparatus 10 according to the present embodiment. In the present embodiment, the computer forming the data-related information correction / complementation device 10 can be realized by a general-purpose hardware configuration that has existed before. That is, the computer is provided as a CPU 21, ROM 22, RAM 23, HDD controller 25 connected with a hard disk drive (HDD) 24, a mouse 26 and a keyboard 27 provided as input means, and a display device as shown in FIG. An input / output controller 29 for connecting each display 28 and a communication means are provided, and a network controller 30 used for data communication between at least the data related information generation device 5 and the data extraction device 6 is connected to the internal bus 31 Configured.

  FIG. 3 is a block configuration diagram of the data-related information correction / complementation apparatus 10 in the present embodiment. The data related information correction / complementation apparatus 10 in this embodiment includes a data related information acquisition unit 11, an entity name conversion unit 12, a property name conversion unit 13, a feedback unit 14, a data related information output unit 15, and a data related information storage unit. 16, an entity name conversion rule storage unit 17 and a property name conversion rule storage unit 18 are provided. The data-related information acquisition unit 11 is provided as an acquisition unit, and acquires a plurality of data-related information used for extracting the output value of the sensor to be analyzed as a set from the data-related information generation device 5. The information is stored by registering in the information storage unit 16. Details of the data related information will be described later.

  The entity name conversion unit 12 and the property name conversion unit 13 are provided as correction / complementation means. Among these, the entity name conversion unit 12 refers to the conversion rules (correction rules) and dictionaries set in the entity name conversion rule storage unit 17 and refers to the plurality of data related information acquired by the data related information acquisition unit 11. Of these, entity names that need to be corrected / completed are corrected / completed. The property name conversion unit 13 refers to the conversion rule (complementation rule) and dictionary set in the property name conversion rule storage unit 18 and complements among the plurality of data related information acquired by the data related information acquisition unit 11. Complete required property names.

  The feedback unit 14 is provided as a synonym adding means, and the first data related information group including a plurality of data related information having the same notation of the device specific term and the device specification having a different notation from the first data related information group If the signal type term of the second data-related information group consisting of a plurality of data-related information with the same notation of the device-specific term matches the word of the different notation part of the device-specific term As a synonym, it adds to the dictionary which memorize | stores the term definition information in which the synonym was defined. The data related information output unit 15 outputs the data related information corrected and supplemented by the entity name conversion unit 12 and the property name conversion unit 13 to the data extraction device 6.

  In the entity name conversion rule storage unit 17, a conversion rule for correcting the entity name included in the data related information is set as a correction rule. For example, when there is an inclusion relationship in the notation of the device specific term included in any of the data related information among the plurality of data related information acquired by the data related information acquisition unit 11, the device having the inclusion relationship If the notation of a specific term matches the same preset condition, the type and location of the device specified from the device specific term are determined to be the same, and correction is made so that the notation of the device specific term matches. Correction rules are set. More details will be described later. Further, the entity name conversion rule storage unit 17 stores a dictionary including term definition information in which synonyms relating to the facility location and the facility name are defined.

  In the property name conversion rule storage unit 18, a conversion rule for complementing a property name included in the data related information is set as a complement rule. For example, when there is data related information that does not include a signal type term that should be included in the data related information among the plurality of data related information acquired by the data related information acquisition unit 11, the data related information is included in the data related information Based on the stored information, a complement rule is set to complement the signal type term to be included in the data related information. More details will be described later. Further, the property name conversion rule storage unit 18 stores a dictionary including term definition information in which synonyms relating to signal names are defined.

  The data related information storage unit 16 stores data related information acquired by the data related information acquisition unit 11 and subjected to correction / complementation in the data related information correction / complementation apparatus 10. Here, the data related information in the present embodiment will be described with reference to FIG. 6A.

  Data-related information is generated for each output value (data). FIG. 6A shows data-related information for four data. A data ID for identifying each data is given to the data related information. Then, items such as a type name, a data name, an entity name, and a property name are set in association with the data ID. In the present embodiment, the output signals from the sensor are classified into a plurality of types according to the type. The type name is signal type information indicating the signal type to which the output signal from the sensor belongs. The data name is a name given to the output signal value from the sensor, and in this embodiment, according to a predetermined naming rule, an installation location term indicating the installation location of the device to be detected by the sensor, and the type of the device And an output type term indicating the type of an output signal from the sensor. The entity name includes a device identification term including an installation location term and a device type term extracted from the data name by being analyzed by the data related information generation device 5. The property name includes an output type term extracted from the data name by being analyzed by the data-related information generation device 5.

  The data ID in the present embodiment includes a controller identification code for identifying a controller that controls the operation of the device, a signal type code indicating the type of an output signal from the sensor, and a serial number assigned to each data related information. And are generated as a pair. According to the setting example of FIG. 6A, it can be understood that all of the one set of data related information is information corresponding to data acquired from a sensor corresponding to a device connected to the controller identification code “0101”.

  The property name is a signal name given to the output signal from the sensor, and is classified by a signal type (signal type code) represented by “AI” or the like, and is represented by “measurement” or the like. It is classified according to the signal type (type name). The signal type code and type name classify property names (signal names) according to different classification criteria even in the information indicating the same signal type. For example, the data (output signal) corresponding to the data-related information 61 is data output from a sensor that measures the temperature of the air supply (SA) of the air conditioner installed on B1F (first floor underground). Show. The data corresponding to the data related information 61 is signal data indicating the type from the property name “SA temperature” to the supply air temperature. According to the classification criteria in the data ID, the data is input as an analog signal from “AI”. At the same time, it can be seen that the data classified into the group is the data classified into the group of data obtained by measurement from “measurement” according to the classification standard in the category name.

  The components 11 to 15 in the data-related information correction / complementation device 10 are realized by a cooperative operation of a computer that forms the data-related information correction / complementation device 10 and a program that operates on the CPU 21 mounted on the computer. The storage units 16 to 18 are realized by the HDD 24 mounted in the data related information correction / complementation apparatus 10. Alternatively, the RAM 23 or an external storage means may be used via a network.

  Further, the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or DVD-ROM. The program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU of the computer sequentially executing the program.

  Next, processing for correcting / complementing data-related information in the data-related information correcting / complementing apparatus 10 will be described with reference to the flowchart shown in FIG.

  When a set of data related information is sent from the data related information generating device 5, the data related information acquiring unit 11 acquires it and registers it in the data related information storage unit 16 (step 110). Subsequently, the entity name conversion unit 12 performs an entity name conversion process on a set of data related information stored in the data related information storage unit 16 (step 120). This entity name conversion process will be described with reference to the flowchart shown in FIG.

  First, the entity name conversion unit 12 reads all the data related information included in one set from the data related information storage unit 16, extracts the entity name included in each data related information, If there is an existing entity name, the unique entity name is listed by deleting it so as to eliminate the duplication (step 121). Subsequently, the entity name conversion unit 12 lists a set of entity names in the inclusion relationship among the listed entity names (step 122). According to the example of the set of data related information (data related information group) shown in FIG. Since all of the entity name notation “machine” is included, it can be said that the data related information 61 and the data related information 62 are in an inclusive relationship. Similarly, the data related information 62 and 63 and the data related information 64 are in an inclusive relationship.

  Then, the entity name conversion unit 12 performs the following processing for each set of entity names in the inclusion relationship extracted as described above.

  The notation of entity names that are in an inclusive relationship includes a common part and a difference that is not so. In the set of the data related information 61 and the data related information 62, “B1F system air conditioner” is a common part, and “−1” corresponds to a difference. The facility name is designated as a facility number by a number following the hyphen “-” according to the naming rule of the facility name. When the equipment number is not included in the common part (N in Step 124), the entity name conversion unit 12 determines that the entity names of the set are the same (Step 128). On the other hand, when the equipment number is included in the common part (Y in step 124), the entity name conversion unit 12 refers to the dictionary stored in the entity name conversion rule storage unit 17 and calculates the difference between the entity names. Determine whether a synonym for the equipment name of the common part is included. If a synonym is included (Y in step 125), the entity name conversion unit 12 determines that the entity names in the set are the same (step 128). On the other hand, when a synonym is not included in the difference (N in Step 125), the entity name conversion unit 12 determines that the entity names of the set are not the same. Thereafter, the process is transferred to an unprocessed group (N, 123 in step 126).

  For example, in the set of the data related information 61 and the data related information 62, the common part “B1F system air conditioner” does not include the number following the hyphen estimated as the equipment number (N in step 124). The conversion unit 12 determines that the entity names of the data related information 61 and the data related information 62 are the same (step 128). In the set of the data related information 62, 63 and the data related information 64, the common part “B1F system air conditioner” and “−1” include the equipment number “1” (Y in step 124). When it is confirmed that the difference “AHU” is defined in the dictionary as a synonym of the equipment name “system air conditioner” included in the common part (Y in step 125), the entity name conversion unit 12 determines that the data related information 62, 63 and the data-related information 64 are determined to have the same entity name (step 128).

  When the above-described processing is performed for all combinations of entity names in an inclusion relationship (Y in step 126), the entity name conversion unit 12 uses the same entity name for the combination of entity names determined to be the same. To unify terms used as entity names (step 127). The result of unifying the terms is shown in FIG. 6B.

  As can be seen by referring to the entity name 65 shown in FIG. 6B, the entity names determined to be the same are converted into the notation of the entity name of the data-related information 64 to align the terms. This is because the entity name notation of the data related information 64 includes all the entity name notations of the other data related information 61-63. That is, in the present embodiment, the entity names having the largest amount of information among the entity names determined to be the same are unified. Of course, it is possible to align the entity names according to a predetermined rule, but by using the entity name with the largest amount of information, the information specified by the user for the data name that is the basis of the entity name Don't miss it.

  Subsequently, the property name conversion unit 13 performs a property name conversion process on a set of data related information stored in the data related information storage unit 16 (step 130). This property name conversion process will be described with reference to the flowchart shown in FIG.

  First, the property name conversion unit 13 reads all data-related information included in one set from the data-related information storage unit 16, and the data (property name) is stored in the property name item data setting area. Data related information that has not been set is listed (step 131). Then, the property name conversion unit 13 performs the following processing on the listed data related information.

  First, the property name conversion unit 13 refers to the property name conversion rule storage unit 18 to determine whether the property name corresponding to the combination of the signal type and the type name indicated by the data ID of the data related information is registered. Check. In the property name conversion rule storage unit 18, in order to complement the property name, a correspondence table (not shown) in which the property name is set in association with the combination of the signal type and type name indicated by the data ID of the data related information. ) Is included. The property name conversion unit 13 refers to the correspondence table in accordance with a complement rule that refers to the correspondence table and complements the property name. When the property name corresponding to the combination of the signal type and the type name indicated by the data ID of the data related information is set in the correspondence table (Y in step 133), the property name conversion unit 13 The property name is read from the property name, and the property name is set as the property name of the data-related information (step 134). On the other hand, if the property name corresponding to the combination of the signal type and type name indicated by the data ID of the data related information is not set in the correspondence table (N in step 133), the property name conversion unit 13 The information type name is set as the property name of the data related information (step 135). When the above processing is repeated for all the data related information listed (N in step 136) and the processing is performed for all the data related information (Y in step 136), the property name conversion processing is performed. finish.

  The data related information 81 illustrated in FIG. 8A is extracted by the process of listing (step 131), and the property name 84 of the data related information 81 is complemented by executing the property name conversion process described above. . FIG. 8B shows data in the case where a record in which the property name “status change value” is set in association with the set of the signal type “BV” and the type name “status change value” is set in the correspondence table. When the property name is complemented with the “status change value” extracted by searching the correspondence table based on the signal type “BV” 82 and the type name “status change value” 83 of the related information 81 (in step 133) Y, 134), or when the property name is complemented with the type name “variable value” of the data related information 81 because the record is not set in the correspondence table (N, 135 in step 133), after completion Data related information 81 is shown.

  As described above, in the present embodiment, a set of data-related information that has been insufficient as information used when performing analysis is corrected and supplemented. The data-related information output unit 15 outputs the corrected / complemented set of data-related information to the data extracting device 6 (step 160), whereby the corresponding data is extracted by the data extracting device 6, and the analyzing device 7 However, the feedback unit 14 performs the following feedback processing with reference to the corrected / complemented set of data related information. The entity name conversion rule storage unit 17 in the present embodiment includes a dictionary relating to the installation location of the device and the name of the device (equipment name). In the feedback processing described below, synonyms are included in this dictionary. Perform additional processing. In this embodiment, two types of feedback processing are executed. First, the first feedback process will be described with reference to the flowchart shown in FIG.

  The feedback unit 14 reads all the data related information included in one set from the data related information storage unit 16, extracts the entity names included in each data related information, and further identifies the duplicate entity names. If there is, the unique entity name is listed by deleting it so as to eliminate the duplication (step 141). Subsequently, the feedback unit 14 creates a list of property names for each listed entity name (step 142). Then, the feedback unit 14 compares the list of property names created for each entity name. As a result, when there is a pair whose property names match (Y in step 143), the feedback unit 14 includes the list in the entity name of the pair. The set of facility names registered as a synonym is registered in the facility name dictionary included in the entity name conversion rule storage unit 17 (step 144).

  The first feedback process described above will be specifically described with reference to FIG. In FIG. 10, as data related information including the entity names listed in step 141, data related information (first data related information group) including an entity name represented as “B1F system air conditioner” and “B1FAHU” Data related information (second data related information group) including the indicated entity name is shown. The entity name “B1FAHU” of the second data related information group is an entity name having a notation different from the entity name “B1F system air conditioner” of the first data related information group. The property name list “SA temperature, SA temperature setting, valve control output, state change value” created in step 142 matches the comparison in step 143, so in step 144 “B1F system air conditioner”. And “B1FAHU” entity name pairs “system air conditioner” and “AHU” included in the entity names are registered in the facility name dictionary as synonyms.

  That all the data signals specified by the property name match is determined as a data signal detected from the same device type given the same equipment name, and in this embodiment, as described above, We decided to register the equipment name notation as a synonym in the equipment name dictionary. In step 144, the synonym is not automatically registered, and an analyst or the like is inquired whether or not to register it in the dictionary in consideration of the case where the list of property names coincides accidentally even though the device types are different. May be.

  Next, the second feedback process will be described with reference to the flowchart shown in FIG.

  The feedback unit 14 reads all the data related information included in one set from the data related information storage unit 16 and discriminates both the installation location name and the facility name among the entity names included in each data related information. If there is an impossible word, it is extracted (step 151). Whether the word included in the entity name notation is an installation location name or an equipment name is determined by referring to each dictionary of the installation location name and the equipment name included in the entity name conversion rule storage unit 17. sell. Subsequently, the feedback unit 14 classifies each extracted word (step 152), and then performs the following processing for each word (step 153).

  That is, the feedback unit 14 pays attention to the word that follows the word to be processed, and if the word includes a different equipment name (Y in step 154), the entity name conversion rule storage stores the word as an installation location name. It is registered in the dictionary of installation location names included in the unit 17 (step 155).

  The above process is performed on each word extracted in step 151 (N in step 156), and when all the words are processed (Y in step 156), the second feedback process ends.

  The second feedback process described above will be specifically described with reference to FIG. FIG. 12 shows a part of the data related information including the word extracted in step 151 in the entity name. In FIG. 12, data related information including the word “restroom” in the entity name is shown. However, in step 154, after the word “dressing room”, different facility names “system air conditioner” and “lighting” are displayed. Therefore, the word “dressing room” is registered in the dictionary as an installation place name. Whether or not “system air conditioner” and “lighting” are facility names may be referred to a facility name dictionary included in the entity name conversion rule storage unit 17.

  As described above, the entity name includes the device installation location and the facility name, and the facility name is written after the installation location according to the naming rules. It is unlikely that a plurality of devices specified by the facility name are specified in the entity name of the data related information generated for each output value (data) of the sensor. Therefore, according to the example shown in FIG. 12, the installation location of the system air conditioner is not only B1F (first basement), but in the present embodiment, such as a restroom on the first basement, immediately before the equipment name. A certain word “dressing room” is determined to be a word relating to the installation location described in more detail, and is registered in the equipment location dictionary. In step 155, the extracted word may be inquired of an analyst or the like to register it in the dictionary without automatically registering it.

  In the above embodiment, the setting example of the data related information is specifically shown, the information of other items included in the data related information or the data related information belonging to the same set is referred to, and the entity name conversion unit 12 Although the case where the name notation is corrected or the property name conversion unit 13 complements the property name has been described as an example, the present invention is not limited to this. That is, the entity name conversion unit 12 may complement the entity name. Further, the property name conversion unit 13 may correct the property name, and further, a set of words related to the signal name may be registered in the dictionary as a synonym. The present embodiment is characterized in that the entity name and the property name included in the data related information are performed based on the information of other items included in the data related information or the data related information belonging to the same set.

  1 building, 2 network, 3 data collecting device, 4 data management system, 5 data related information generating device, 6 data extracting device, 7 analyzing device, 10 data related information correcting / complementing device, 11 data related information acquiring unit, 12 entity Name conversion unit, 13 Property name conversion unit, 14 Feedback unit, 15 Data related information output unit, 16 Data related information storage unit, 17 Entity name conversion rule storage unit, 18 Property name conversion rule storage unit, 21 CPU, 22 ROM, 23 RAM, 24 hard disk drive (HDD), 25 HDD controller, 26 mouse, 27 keyboard, 28 display, 29 I / O controller, 30 network controller, 31 internal bus.

Claims (7)

Each of the plurality of sensors is configured to include an installation location term indicating the installation location of the device to be detected by the sensor, a device type term indicating the type of the device, and an output type term indicating the type of output signal from the sensor. Data related information generated for each output value based on the data name information associated with the output value of the device, the device identification term including the installation location term and the device type term, and the output type term. An acquisition means for acquiring a plurality of data related information used for extracting an output value of a sensor to be analyzed among data related information included as a value;
Item values included in data-related information including device-specific terms or output type terms to be corrected or supplemented included in a plurality of data-related information acquired by the acquisition means Or correction / complementing means for correcting or supplementing based on the plurality of data related information;
A data-related information processing apparatus characterized by comprising:   The correction / complementation means, when there is an inclusion relationship in the notation of the device specific term included in any of the data related information among the plurality of data related information acquired by the acquisition means, the inclusion relationship When the notation of a device specific term matches the same preset condition, it is determined that the device type and installation location specified from the device specific term are the same, and the notation of the device specific term matches. The data related information processing apparatus according to claim 1, wherein the data related information is corrected in accordance with a correction rule of performing.   The amendment rule includes a rule for amending the notation of the other device-specific term so that the notation of the device-specific term matches the notation of the device-specific term including all the notations of the other device-specific terms. The data-related information processing apparatus according to claim 2, wherein: The data related information further includes signal type information indicating a signal type to which an output signal from the sensor belongs,
The correction / complementation means, when there is data related information that does not include an output type term to be included in the data related information among the plurality of data related information acquired by the acquisition means, the data related information The data-related information processing according to claim 1, wherein the data-related information is supplemented according to a supplementing rule that complements output type terms to be included in the data-related information based on the signal type information included in the data. apparatus.   5. The supplementing rule includes a rule for complementing an output type term to be included in the data related information with reference to a correspondence table between signal type information and output type term. The data-related information processing apparatus described. The first data related information group consisting of a plurality of data related information having the same device specific term notation and the device specific term different from the first data related information group, and the same device specific term notation If the output type term of the second data related information group consisting of a plurality of data related information is the same, the term definition in which the synonym is defined with each term in the different notation part as a synonym among the device specific terms A synonym adding means for adding to the information;
The correction / complementation means, when there are device specific terms having different notations in the plurality of data related information acquired by the acquisition means, refer to the term definition information and the type of the device specified from the device specific terms The data related information processing apparatus according to claim 1, further comprising: determining whether the installation locations are the same. Computer
Each of the plurality of sensors is configured to include an installation location term indicating the installation location of the device to be detected by the sensor, a device type term indicating the type of the device, and an output type term indicating the type of output signal from the sensor. Data related information generated for each output value based on the data name information associated with the output value of the device, the device identification term including the installation location term and the device type term, and the output type term. An acquisition means for acquiring a plurality of data related information used for extracting an output value of a sensor to be analyzed among data related information included as a value,
Item values included in data-related information including device-specific terms or output type terms to be corrected or supplemented included in a plurality of data-related information acquired by the acquisition means Or correction / complementing means for correcting or supplementing based on the plurality of data related information,
Program to function as.

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