JP2010146281A - System and method of signal integrity check for plant information control - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system, capable of correctly checking a signal item list for monitoring and controlling a plant and capable of reducing the costs by saving labors. <P>SOLUTION: The system of signal integrity check for plant information control includes: an input means for inputting signal item table data; a storage means for storing the signal item table data and a table; and an item table data processing means which refers to the table and fragments/separates, classifies, and/or summarizes the signal item table data. Then, a means for defining item integrity refers to the table, defines the integrity of signal items, compares the signal items in the signal item list and items whose integrity is defined, and determines description missing and insufficiency, description errors, unpreparedness, and character discrepancy. Thereby, the integrity and/or disintegrity can be determined. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a plant information control signal check system and method for checking a signal item table (list) describing signal items for monitoring and controlling a plant.

  Information signals and control signals used in various types of plant facility monitoring control systems are described in a signal item table (list). Conventionally, when creating a signal item table (list) for designing a monitoring control system for various plant facilities, obtaining information, investigating, and meeting information regarding the signal item identification, signal names, and breakdown of attribute items of various signals. It is necessary to provide a process for organizing the contents of decisions and listing them. Then, in the created list, the data in the list can be rearranged, searched, within the range where consistency can be checked, such as leakage / insufficiency of input items, entry errors, and irregularity of signal names as the corresponding plant equipment. It was necessary to compare data, and it was implemented with a simple tool using these functions. For this reason, the contents that could not be checked with a simple tool and the consistency of characters such as signal names were manually checked.

JP 2000-2222030 A JP-A-10-198419 JP 2002-333918 A Japanese Patent Laid-Open No. 08-129558

  However, as described above, when the signal item table (list) of the monitoring control system of the plant system is created and the consistency is checked, the complicated information signal and control signal of the monitoring control system configuration of various plant equipments Accordingly, it has been difficult to realize a check system or a check method for checking the consistency of the signal item list. For this reason, it is necessary to manually check the signal item list by man-hours, which requires a lot of manpower and time, resulting in high costs. Further, in the manual check work, there is a problem that the check standard becomes ambiguous and it is difficult to completely prevent work mistakes.

  According to the present invention, when checking a signal item list that describes signal items for monitoring and controlling a plant, plant information control can save labor, reduce costs, and accurately check the signal item list. An object is to provide a signal check system and a plant information control signal check method.

  To achieve the above object, a plant information control signal check system of the present invention is a plant information control signal check system for checking a signal item table describing signal items for monitoring and controlling a plant, With reference to this table, input means for inputting a lexical phrase described in the signal item table, lexical phrase described in the signal item table, storage means for storing data for processing the lexical phrase in a table, Refer to the item table data processing means for subdividing, classifying and / or consolidating the lexical characters described in the signal item table according to the contents of the lexical items, and the signal item table with reference to the table. Each item in the signal item table is compared with the item matching definition means that defines the consistency between the lexical terms, the lexical words defined by the item definition means, and the lexical words described in the signal item table. Item comparison / determination means for determining consistency or inconsistency of lexical characters described in the signal item table by determining entry errors, irregularities, and character mismatches in each item input to the signal item table The output means for outputting the judgment result by the item comparison judgment means, the input means, the storage means, the item table data processing means, the item matching definition means, the item comparison judgment means, and the output means are controlled. And a control means.

  The plant information control signal check method of the present invention is a plant information control signal check method for checking signal items described in a signal item table for monitoring and controlling the plant, A step of inputting a lexical to be described; a step of storing a lexical to be described in the signal item table; and a step of storing data for processing the lexical in a table; Subdividing, separating, classifying and / or aggregating lexical terms according to the content of the lexical; defining a consistency between lexical terms described in the signal item table with reference to a table; Comparing the lexical with defined consistency with the lexical written in the signal item table, the description of each item in the signal item table, and the description error of each item entered in the signal item table, And determining whether or not the lexical match or mismatch described in the signal item table is determined by determining the mismatch of the characters and outputting the determination result of the lexical match or mismatch. And

  According to the present invention, when checking a signal item list in which signal items for monitoring and controlling a plant are checked, it is possible to perform an accurate check while saving manpower and reducing costs.

  Hereinafter, a plant information control signal matching check system according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a diagram showing an overall configuration of a plant information control signal matching check system according to an embodiment of the present invention. The plant information control signal matching check system 1000 according to the embodiment of the present invention is an input means for inputting data 1002 relating to a lexical phrase described in a signal item table (list) 1001 that describes signal items for monitoring and controlling a plant. 10 and storage means 23 for storing data 1002 relating to the lexical phrase described in the signal item table, and a table 22 for storing data for processing the lexical phrase described in the signal item table.

  In addition, the plant information control signal matching check system 1000 is provided with item table data processing means 24. By this item table data processing means 24, words and phrases described in the signal item table 1002 are changed according to the contents of the words and phrases. Reference is made to table 22 for subdividing, separating, classifying and / or aggregating.

  The plant information control signal matching check system 1000 includes item matching definition means 5 that defines the consistency between the lexical terms of the signal item table, and the lexicality whose consistency is defined by the item matching definition means 5 and the signal Comparing with the lexical words described in the item table 1001, it is determined whether the items in the signal item table 1001 are missing, errors in the items input to the signal item table 1001, irregularities, or character mismatches. Is done. In addition, an item comparison / determination unit 6 that determines whether or not the lexical phrase described in the signal item is matched, and an output unit 19 that outputs a lexical match / mismatch determination result by the item comparison / determination unit 6 are provided. . Furthermore, the control means 25 which controls the input means 10, the memory | storage means 23, the item table data processing means 24, the item matching definition means 5, the item comparison determination means 6, and the output means 19 is provided. .

  The item table data processing means 24 described above is composed of an item subdivision processing means 1, an item number expansion processing means 2, an item type classification processing means 3, and an item aggregation classification processing means 4. The item table data processing means 24 includes a part of the item subdivision processing means 1, the item number expansion processing means 2, the item type classification processing means 3, and the item aggregation classification processing means 4. Also good. That is, some or all of the two or more means included in the item table data processing means 24 may be selectively operated by the control means 25.

  The item segmentation processing means 1 extracts data related to the lexical of the signal name part from the data 1002 related to the lexical written in the signal item table (list) 1001, and the lexical of the signal name part is converted to the lexical of the equipment name part, the unit name. Divided into parts lexical, equipment name lexical (main machine name lexical, auxiliary machine name lexical), factor name lexical, scale (span) lexical, or unit lexical .

  Further, the item number expansion processing means 2 separates the plurality of devices when the lexical of the machine name part of the data 1002 relating to the lexical described in the signal item table 1001 indicates that it includes a plurality of devices. It has a function to set signal items for each device. Further, the item type classification processing means 3 has a function of classifying the data 1002 related to the lexical words described in the signal item table 1001 into items including fault, state, analog, and digital words. The item aggregation classification processing means 4 has a function of aggregating signal items related to a predetermined signal item 1002 of data relating to the signal item table 1001.

  In addition, the plant information control signal matching check system 1000 according to the embodiment of the present invention includes a consistency level processing unit 7 that displays a required, recommended, and reference level display on a signal item determination result. Further, it is provided with a determination duplication prevention means 8 for detecting a case where the determination result of the item comparison determination means 6 described above is a contradictory determination result, determining a priority order for ensuring consistency, and deleting duplicate data. May be.

  According to the plant information control signal matching check system of the embodiment of the present invention described above, it is possible to automatically perform machine determination on what has been manually determined because it is difficult to perform machine determination.

  Next, the configuration and operation of the plant information control signal matching check system according to the embodiment of the present invention will be described in detail with reference to FIGS. In addition, the structure of the plant information control signal matching check method of embodiment of this invention can be understood from the description regarding the structure and operation | movement of the plant information control signal matching check system of embodiment of this invention.

  FIG. 2 shows an example of a check system configuration using the signal item subdivision processing means 1 according to the embodiment of the present invention. In FIG. 2, from the data 1002 related to the lexical words described in the signal item table (list) 1001 of the monitoring / control system for various plant facilities, the signal name part data extraction processing means 100 takes in the data related to the lexical characters of the signal name part, Extract. The word / phrase in the signal name part is composed of equipment name, machine name, device name (main machine name, auxiliary machine name), factor name, analog or pulse (scale) in case of pulse signal, and unit text.

  As shown in FIG. 2, the signal item segmentation processing unit 1 is provided with a “name part” determination unit 101, and an equipment name unit 1021 according to the definition set in the “name part” determination unit 101. , Machine name part 1022, main machine name part 1023, auxiliary machine name part 1024, factor name part 1025, scale part 1026, and unit part 1027 are determined.

  Also, the equipment name portion 1021 is obtained by using the “name portion” subdivision processing means 102 and the “name portion” data separation processing means 103 to obtain data related to the lexical characters of the signal name portion extracted by the signal name portion data extraction processing means 100. , Machine name part 1022, main machine name part 1023, auxiliary machine name part 1024, factor name part 1025, scale part 1026, and unit part 1027.

  Then, the data related to the separated lexical data is subjected to consistency check by means of “name” item consistency definition processing means 51 for setting a unique consistency definition for each item and “name part” item comparison comparison means 61. A check is made. Here, the “name” item-by-item consistency definition processing means 51 is a means for clearly defining a description omission / insufficiency, a description error, irregularity, a mixture of similar names, and the like for each item.

  3 to 8 show examples of a system configuration in which the signal item segmentation processing unit 1 according to the embodiment of the present invention performs a check for each item. FIG. 3 is a diagram showing “equipment name part” subdivision means of the signal name item of the signal item table 1002 according to the embodiment of this invention. In FIG. 3, signal name part data is extracted from data 1002 relating to a lexical phrase described in a signal item table (list) 1001 using signal name part data extraction processing means 100.

  By setting a definition 11A (see definition example 11B) that can be determined as a phrase of “equipment name part” for the extracted signal name part data, “equipment name part” determination means 111, “equipment name part” subdivision processing means 112, “Equipment name part” data separation processing means 113 separates the item data as words of “equipment name part”. For example, the data related to the lexical phrase “feeding facility”, which is determined as the lexical phrase of the facility name portion, is separated from the signal name data “Swimming facility No. 1 water pump brush lifting device overload”. In addition, as what is determined as the lexical phrase of "equipment name part", the thing whose sentence end character string is "... equipment" is typical (refer to the definition example of 11B).

  Next, it is defined whether or not the data related to the “facility name part” lexical word separated by the “facility name part” data separation processing means 113 is valid as the lexical name of the equipment name. This definition is made in the “equipment name” consistency definition processing means 511, and further, “equipment name” comparison judgment means 611 defines the consistency with the “equipment name portion” data in the signal item table (list). The “equipment name” is automatically checked. For example, when the “equipment name” consistency definition is set to “water supply equipment” and the “equipment name part” data in the signal item table (list) 1001 is “water supply equipment”, Judged as inconsistent.

  FIG. 4 is a diagram showing the “unit name part” subdivision means of the signal name item of the signal item table 1001 according to the embodiment of the present invention. In FIG. 4, the data related to the lexical characters of the signal name part is extracted by the signal name part data extraction processing means 100 from the data 1002 related to the lexical words described in the signal item table (list) 1001.

  In this case, a definition 12A (see definition example 12B) that can be determined as “unit name part” is set for the data relating to the lexical characters of the extracted signal name part. Then, using the “unit name part” determination unit 121, the “unit name part” subdivision processing unit 122, and the “unit name part” data separation processing unit 123, the item data is separated as a word “unit name part”. For example, the phrase “No. 1” that is determined to be the phrase of the machine name part is separated from the signal name data “feeding equipment No. 1 water pump brush lifting device overload”. Note that “No. 1” and “No. A character string consisting of “alphanumeric characters / symbols” is typical (see the definition example in 12B).

  Then, “unit name” consistency definition processing means 512 (see definition example 512A) is provided for defining whether or not the data discriminated and separated as the token of the machine name part is valid as the token of the machine name part. By this “unit name” consistency definition processing means 512 and “unit name” comparison / determination means 612, “number machine name” data in the signal item table (list) is converted to “unit name” data in which consistency is defined. Are automatically checked against them. For example, when the “unit name” consistency definition is set to “No. 1” and the “unit name part” data in the signal item table (list) 1002 is “No. 1” , Determined to be consistent.

  FIG. 5 is a diagram showing the “main machine name part” subdivision means of the signal name item of the signal item table according to the embodiment of the present invention. In FIG. 5, the data relating to the lexical part of the signal name part is extracted by the signal name part data extraction processing means 100 from the data 1002 relating to the lexical part described in the signal item table (list) 1001.

  Then, by setting a definition 13A (see definition example 13B) that can be determined as a lexical phrase of the “main machine name part” for the extracted data related to the lexical part of the signal name part, a “main machine name part” determination unit 131, a “main machine name” Using the "part" subdivision processing means 132 and the "main machine name part" data separation processing means 133, the item data is separated as a phrase "main machine name part". Typical words of the main unit name part include sentence ending character strings “˜pump”, “˜blower” and the like as shown in the definition example 13B. For example, when the signal name data is the phrase “No. 1 water supply P brush lifting device overload”, it is possible to separate the phrase “water supply P” that is determined as the phrase of the main unit name part from this phrase. .

  The data related to the lexical word that is discriminated and separated as the main machine name part can be automatically checked by the “main machine name” consistency definition processing means 513 that defines whether the lexical name of the main machine name is valid, and the “main machine name” comparison judgment means 613. It becomes. For example, when the end of the sentence is set to “pump” in the main unit name consistency definition, it is determined that “water supply P” is the main unit name is inconsistent.

  FIG. 6 is a diagram illustrating the “auxiliary machine name part” subdivision means of the signal name item in the signal item table according to the embodiment of the present invention. In FIG. 6, the signal name part data extraction processing means 100 extracts data related to the lexical part of the signal name part from the data 1002 related to the lexical part described in the signal item table (list) 1001.

  By setting a definition 14A (see definition example 14B) for determining the “auxiliary device name portion” for the data related to the extracted signal name portion lexicon, “auxiliary device name portion” determining means 141, “auxiliary device name portion” Using the subdivision processing means 142 and the “auxiliary machine name part” data separation processing means 143, if there is a lexical word related to the “auxiliary machine name part”, the lexical word related to the “auxiliary machine name part” is separated. For example, the phrase “discharge valve” that is identified as the accessory name part is separated from the phrase “No. 1 water pump discharge valve overload” of the signal name data.

  About the data related to the lexical word that is discriminated and separated as the auxiliary machine name part, the “auxiliary machine name” consistency definition processing means 514 that defines whether the lexical name of the auxiliary machine name is valid or not, and the “auxiliary machine name” comparison judgment means 614 automatically It becomes possible to check. For example, when the end of the sentence is set as “valve” in the auxiliary machine name consistency definition, it is determined that the word “discharge valve” is the auxiliary machine name as inconsistent.

  FIG. 7 is a diagram showing the “factor name part” subdivision means of the signal name item in the signal item table according to the embodiment of the present invention. In FIG. 7, the data relating to the lexical part of the signal name part is extracted by the signal name part data extraction processing means 100 from the data 1002 relating to the lexical part described in the signal item table (list).

  By setting a definition 15A (see definition example 15B) that can be determined as “factor name portion” for the data related to the lexical information of the extracted signal name portion, “factor name name” determination means 151, “factor name portion” subdivision Using the processing means 152 and the “factor name part” data separation processing means 153, the item data is separated as a lexical word related to the “factor name part”. For example, the data related to the phrase “high water level”, which is determined as the factor name part, is separated from the phrase “signal supply data“ water pump well high water level ”.

  The data related to the lexical word that is discriminated and separated as the factor name part is automatically checked by using the “factor name” consistency definition processing means 515 that defines whether or not the lexical name of the factor name is valid, and the “factor name” comparison judgment means 615. It becomes possible to do. For example, in the factor name consistency definition, if only the characters before and after “water level” are set to “high” (“water level high”), “high water level” is the lexical name of the factor name. Is determined to be inconsistent.

  FIG. 8 is a diagram illustrating the “scale part” and “unit part” subdivision means of the signal name item in the signal item table according to the embodiment of the present invention. In FIG. 8, the data relating to the lexical part of the signal name part is extracted by the signal name part data extraction processing means 100 from the data 1002 relating to the lexical part described in the signal item table (list).

  By setting a definition 16A (see definition example 16B) for determining the “scale portion” for the data related to the lexical information of the extracted signal name portion, the “scale portion” “unit portion” determining means 161, “scale portion”, “ Using the “unit part” subdivision processing means 162 and the “scale part” “unit part” data separation processing means 163, the item data is separated as words of “scale part” and “unit part”. For example, from the signal name data “water pump well water level 0 to 10 mm”, data related to the words “0 to 10” and “mmm” that are determined as the words of the scale part and the unit part are separated.

  “Scale” and “Unit” consistency definition processing means 516 and “Scale” and “Unit” comparison / determination means for defining whether the data relating to the scale part and the lexical word discriminated and separated as the unit part is valid as the scale and unit lexical word. 616 can be used to automatically check. For example, when “m” or “mm” of the SI unit is set in the unit consistency definition, setting “mmm” as a unit lexical is determined to be inconsistent.

  FIG. 9 is a diagram showing signal number item number expansion processing means according to the embodiment of the present invention. FIG. 10 is a diagram for explaining an example of the development of the number of signal items according to the embodiment of the present invention. In FIG. 9, the signal name part data extraction processing means 100 extracts the data related to the lexical part of the signal name part from the data 1002 related to the lexical part described in the signal item table (list) 1001 of the monitoring / control system for various plant facilities. The phrase of the signal name part is an item as the phrase of “unit name part” using the “unit name part” determination unit 121, the “unit name part” subdivision processing unit 122, and the “unit name part” data separation processing unit 123. Separate data.

  For the data related to the lexical information of the separated unit name part, a plurality of unit numbers are written together to extract the names in the format in which a plurality of signals are entered and entered. “Unit name part” extraction processing means 201, the signal is separated into a plurality of units. By using the number expansion processing means 202 and the number determination processing means 203 for detecting the number of deployed signals, the number of items can be determined by the signal name.

  Since there is provided a number expansion number / number field item comparison judging means 62 for judging the difference between the number of items from the signal name and the number of entries in the data 1002 relating to the lexical words described in the signal item table (list) 1001, A check to determine consistency can be automatically performed.

  In FIG. 10, the data related to the vocabulary of the signal name part extracted by the signal name part data extraction processing means 100 and the data in the signal number column are obtained by the “unit name part” data extracting means 123 and the plural number summarizing data extracting means 201. For example, “No. 1 to 3” can be discriminated from data related to the lexical of a plurality of units by the presence / absence of the use of “˜” characters in the machine name part.

  For example, one signal of “No. 1 to 3” is sent to “No. 1” or “No. 2” by the number expansion processing means 202 that adds and expands data related to the vocabulary of the collective number of units for each unit. , And “No. 3” so that the number of signals is expanded. In FIG. 10, when the number of deployed members is 3 and the number in the signal number column of the data 1002 relating to the lexical data described in the signal item table (list) 1001 is 2, an example of automatically checking for inconsistency due to the number mismatch. Show.

  FIG. 11 is a diagram showing signal item type classification processing means according to the embodiment of the present invention, and FIGS. 12 and 13 are diagrams showing examples of signal item type classification processing means according to the embodiment of the present invention. . In FIG. 11, the data related to the lexical characters of the signal name part is taken in by the signal name part data extraction processing means 100 from the data 1002 related to the lexical words described in the signal item table (list) 1001 of the monitoring / control system for various plant facilities.

  An example will be described in which the signal name portion is composed of a device name, a factor name, a scale (span), and a unit word. “Equipment name part” data separating means 133, “factor name part” data separating means 153 for discriminating and separating the words of the equipment name part, the factor name part, the scale part, and the unit part from the extracted signal name lexical data, The “scale part” data separation means 163 and the “unit part” data separation means 164 are used to subdivide the word of the signal name.

  The signal type determination definition processing unit 301 sets signal type determination conditions peculiar to the subdivided items, and the signal type classification processing unit 302 uses the DI (failure) signal 1031, the DI (state) signal 1032, the DO signal 1033, AI. Based on the signal 1034, the AO signal 1035, and the PI (pulse) signal 1036, the type of signal is determined.

  If the data 1002 related to the lexical words described in the signal item table (list) includes data related to the lexical data of the input, output, and breakdown of the failure signal, the data 303 related to the lexical data in the input field, the data 304 related to the lexical data in the output field, The data type 305 relating to the lexical words in the heavy / light failure column is taken into the signal type classification processing unit 302 and can be used as a signal type separation condition by the signal type classification processing unit 302. Consistency is checked for the separated data by the “signal type” consistency definition processing means 53 for setting a consistency definition peculiar to each signal type and the “signal type” item-by-item comparison determination means 63.

  12 and 13, data relating to signal names, input, output, and failure words included in the data 1002 relating to words described in the signal item table (list) 1001 is fetched. The items are subdivided into a name part, a scale part, and a unit part.

  Then, the signal type determination definition processing means 301 has, for example, a description input in the “input field” of the signal item table and a description of the failure name defined in the “cause name part”, or in the “serious failure field”. What is described is defined to belong to the type of DI (failure) signal 1031 and signal type information data is added to the signal item.

  Here, in FIG. 13, in the definition setting of the “signal type” consistency definition processing means 53, for example, there is an entry described in the “input field” of the signal item table, and there is a failure name defined in the “factor name part”. Or, there is a description in the “Severe light failure column”. In this regard, if the DI (failure) signal 1031 is used, the “signal type” item-by-item comparison / determination means 63 indicates that, for example, “No. It is possible to automatically check the consistency of the type.

  FIG. 14 is a diagram illustrating item aggregation processing means according to the embodiment of this invention. In FIG. 14, the data related to the lexical characters of the signal name part is taken in by the signal name part data extraction processing means 100 from the data 1002 related to the lexical words described in the signal item table (list) 1001 of the monitoring / control system for various plant facilities. In the signal name portion, the signal name item subdivision processing means 1 and the item type classification processing means 3 subdivide and separate the data related to the vocabulary of the signal name portion and add the signal type data.

  "Signal name" subdivided item and signal item table various item list processing means 401 which uses the separated signal name part data and various signal attribute item breakdowns as list data, and the breakdown information of each item and combined items Various item combination aggregation processing means 402 is provided for each item so that data can be aggregated and compared for each type.

  The data that summarizes the breakdown information of items for each type includes the consistency combination condition definition processing means 54 for various items that define the consistency for each item and for each type of breakdown information of the combined items, and comparison Consistency is checked by the comparison / determination means 64 for each item to be determined.

  FIG. 15 is a diagram illustrating an example of processing by the item aggregation processing unit according to the embodiment of this invention. As shown in FIG. 15, the “signal name” subdivided item and signal item table various item list processing means 401 lists all the data related to the subdivided words. Then, the various item combination aggregation processing unit 402 for each item aggregates the data related to the subdivided words, for example, by the type of DI (failure) signal item, and by the type of DI (status) signal item, It is divided.

  In FIG. 15, for example, “(No. 2 discharge valve overload) is determined by using the comparison determination unit 64 according to the definition unique to each item type set by the consistency combination condition definition processing unit 54 for various items. “There is no entry in the failure column data even though it is a DI (failure) signal type”, “(No. 2 discharge valve in operation) is a DI (state) signal type, but there is no entry in the entry column” This makes it possible to automatically check the consistency of the item type.

  FIG. 16 is a diagram showing a check system including a consistency level processing unit and a determination overlap prevention processing unit according to the embodiment of the present invention. In FIG. 16, the data 1002 relating to the lexical terms described in the signal item table (list) 1001 of the monitoring / control system for various plant facilities includes the item subdivision processing means 1, the item number expansion processing means 2, and the item type classification processing means 3. Processing is performed by the item aggregation classification processing means 4, the item matching definition processing means 5, and the item comparison determination means 6.

  In the check system of the present embodiment, the consistency level processing unit 7 includes a determination condition definition level setting processing unit 701 and a determination result level display unit 702 for setting the consistency condition definition.

  Then, the judgment result definition level setting processing means 701 determines whether the description is entered and what is not entered by the judgment result, which is mandatory, recommended (possibly inconsistent, etc.), and reference (unmatched). It is possible to set an importance level such as “There is a possibility”. Then, the determination result level display means 702 displays the level of the determination result of “essential”, “recommended”, and “reference” indicating the importance level essential, recommended, and reference.

  As a result, the check system of the present embodiment described in FIG. 16 is ambiguous signal items that cannot be handled as user-specified, plant equipment-specific, or customary and common rule definitions. It is possible to display an importance level for an item determined to be inconsistent with respect to an item that is not mistaken.

  In addition, the check system according to the present embodiment described in FIG. 16 is configured to detect conflicting determination results in order to avoid conflicting determination result display on the setting definition side and the result side with respect to the determination results of inconsistent items. 801 and consistency level priority order setting means 802.

  The determination result detection means 801 that conflicts detects a determination result that conflicts with the determination overlap prevention processing means 8. The consistency level priority order setting unit 802 performs priority order setting by the consistency level processing unit 7 or priority order setting for a large number of items by analysis of the number of determination results.

  As described above, according to the present invention, signal item subdivision processing means, number expansion processing means, type classification processing means, aggregate classification processing means, matching definition processing means, comparison determination means, consistency level processing means, And / or by using the judgment duplication prevention processing means, ambiguous and inadequate check, cross check with a lot of man-hours, etc. in the signal item list creation / editing work in the monitoring control system of various types of plant equipment, etc. It is now possible to automatically check the consistency of the signal name and the breakdown of various signal attribute items with high accuracy and the importance level classification of the results without performing the above.

  The present invention relates to a system and method for checking information signal names of various plant monitoring and control systems such as electric power, public facilities, and general industries, and a signal item list representing a breakdown of various signal attribute items.

It is a figure which shows the whole structure of the plant information control signal consistency check system of embodiment of this invention. It is a figure which shows the item subdivision process means of the signal name of embodiment of this invention. It is a figure which shows the "equipment name part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the "unit name part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the "main machine name part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the "auxiliary machine name part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the "factor name part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the "scale part" "unit part" subdivision means of the signal name item of the signal item table | surface of embodiment of this invention. It is a figure which shows the item number expansion | deployment process means of the signal name of embodiment of this invention. It is a figure explaining the example of signal item number expansion of embodiment of this invention. It is a figure which shows the kind classification | category processing means of the signal item of embodiment of this invention. It is a figure which shows the example of the classification classification | category processing means of the signal item of embodiment of this invention. It is a figure which shows the example of the classification classification | category processing means of the signal item of embodiment of this invention. It is a figure which shows the item aggregation process means of embodiment of this invention. It is a figure which shows the example of the process by the item aggregation process means of embodiment of this invention. It is a figure which shows a check system provided with the consistency level process means and the determination duplication prevention process means of embodiment of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Item segmentation processing means, 2 ... Item number expansion processing means, 3 ... Item kind classification processing means, 4 ... Item aggregation classification processing means, 5 ... Item matching definition processing means, 6 ... Item comparison judgment means, 7 ... Matching Property level processing means, 8 ... determining duplication prevention processing means, 10 ... input means, 19 ... output means, 22 ... table, 23 ... storage means, 24 ... item table data processing means, 25 ... control means, 1000 ... plant information control Signal consistency check system, 1001... Signal item table (list), 1002... Signal item table data, 1003.

Claims (6)

A plant information control signal check system for checking a signal item table describing signal items for monitoring and controlling a plant,
An input means for inputting a lexical phrase described in the signal item table;
Lexical terms described in the signal item table, and storage means for storing data for processing the lexical items in a table;
Referring to the table, item table data processing means for subdividing, classifying, and / or aggregating words and phrases described in the signal item table according to the contents of the words;
Item matching definition means for defining consistency between lexical terms described in the signal item table with reference to the table;
Comparing the lexical words defined by the item definition means with the lexical words described in the signal item table, the description of each item in the signal item table, and each item input to the signal item table Item comparison and determination means for determining alignment or inconsistency of lexical terms described in the signal item table by determining description errors, irregularities, and character mismatches;
Output means for outputting a determination result by the item comparison determination means;
Control means for controlling the input means, the storage means, the item table data processing means, the item matching definition means, the item comparison determination means, and the output means;
A plant information control signal check system comprising:   The plant information control signal check system according to claim 1, further comprising consistency level processing means for displaying an essential, recommended, or reference level in the determination result of each item input to the signal item table.   A method for detecting conflicting judgment results in the item comparison judgment means, determining a priority order for taking consistency of the judgment results, and determining duplicate prevention means for deleting duplicate words inputted in the signal item table, The plant information control signal check system according to claim 1 or 2, further comprising: A plant information control signal check method for checking signal items described in a signal item table for monitoring and controlling a plant,
Inputting a phrase described in the signal item table;
Storing the lexical terms described in the signal item table and data for processing the lexical terms in a table;
Referring to the table, subdividing, classifying, and / or aggregating words and phrases described in the signal item table according to the contents of the words;
Referring to the table, defining consistency between lexical terms described in the signal item table;
Comparing the lexical word with the consistency defined with the lexical word described in the signal item table, the description of each item in the signal item table, and each item input to the signal item table Determining the consistency or inconsistency of the lexical terms described in the signal item table by determining description errors, irregularities, and character mismatches;
Outputting a determination result of the lexical match or mismatch;
A plant information control signal check method including:   The plant information control signal check method according to claim 4, further comprising a step of displaying an essential, recommended, or reference level display on the determination result of each item input to the signal item table.   Among the determination results of each item in the item comparison step, a conflicting determination result is detected, a priority order is set in order to ensure consistency of the determination result, and duplicated lexical characters input to the signal item table are deleted The plant information control signal check method according to claim 4, further comprising a step of:

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