A abnormal diagnosis system for detecting abnormal conditions of measuring instrument in management facilities

Abstract

The present invention is characterized by being configured to include a plurality of measuring instruments (100) and an intelligent RTU (200), wherein, when diagnosing an abnormality, only the abnormal measurement values ​​among the measurement values ​​provided by the measuring instrument are stored in a time-series manner, and the abnormality of the measuring instrument is diagnosed by analyzing the storage pattern of the abnormal measurement values ​​stored in a time-series manner, thereby providing the effect of resolving the storage capacity problem of large-capacity measurement data and the effect of predicting the abnormality of the measuring instrument in advance before failure occurs.

Description

Technology Field

[0001] The present invention relates to a system for diagnosing abnormalities in measuring instruments installed in management facilities, and more specifically, to a system for diagnosing abnormalities in measuring instruments installed in management facilities (water management facilities, bridge management facilities, tunnel management facilities) that provide measurement values ​​necessary for facility management, wherein when diagnosing abnormalities, only abnormal measurement values ​​among the measurement values ​​provided by the measuring instruments are stored in a time-series manner in consideration of the measurement data storage capacity problem, and the abnormality in the measuring instruments is diagnosed by analyzing the storage pattern of the abnormal measurement values ​​stored in a time-series manner. Background Technology

[0003] Due to Korea's climatic characteristics, various natural disasters such as floods, landslides, typhoons, cold waves, and heavy snowfall occur frequently, so water management facilities are installed and operated throughout the country. Additionally, due to the geographical features of a narrow land area and numerous mountains, bridge and tunnel management facilities are installed and operated across the nation.

[0004] In particular, during the summer, floods occur as river water levels rise rapidly due to the monsoon, typhoons, and torrential rains, whereas water shortages occur due to drought in the spring, autumn, and winter. Accordingly, preparations for natural disasters are being made through water management facilities such as dams, reservoirs, rivers, and sluice gates.

[0005] Water management facilities such as dams, reservoirs, rivers, and drainage gates are equipped with measuring equipment (water quality meters, flow velocity meters, flow rate meters, water level meters, motor resistance meters, sluice gate opening rate meters, etc.) that provides measurement values ​​necessary for water management. However, if a malfunction occurs in the measuring equipment that provides measurement values ​​necessary for water management, it can lead to serious problems in water management due to incorrect measurement data.

[0006] For example, during the rainy season, when water suddenly flows into a freshwater lake and reaches the maximum water level, the lake may overflow because the discharge is not carried out in time due to an incorrect measurement value from the water level gauge, and during a drought, a shortage of agricultural or industrial water may occur due to an incorrect discharge value from the water level gauge.

[0007] In addition, various measuring instruments are installed in bridge and tunnel management facilities; if malfunctions occur in the measuring equipment that provides the necessary values ​​for bridge or tunnel management, erroneous measurement data can lead to serious problems in bridge or tunnel management.

[0008] Meanwhile, due to the recent increase in various types of disasters, the need for efficient management of each facility is growing. However, existing human-centered on-site response systems rely on manpower, which presents limitations in ensuring a rapid and accurate response during disasters. Consequently, attempts are being made to introduce measurement equipment capable of remote management and automation utilizing electronic, electrical, and telecommunications technologies.

[0009] However, even these remotely manageable and automated measurement facilities frequently experience measurement errors due to external factors such as lightning, electromagnetic waves, and surges, or surrounding environments (underwater environments, tunnel environments, etc.). Frequent measurement errors make it difficult to respond to disaster situations or lead to an increasing number of secondary accidents (e.g., fires caused by motor overheating).

[0010] In particular, measuring instruments installed underwater, such as water quality measuring instruments, flow velocity measuring instruments, flow rate measuring instruments, and water level measuring instruments, frequently experience measurement errors due to contact with foreign substances such as water plants and debris, and measuring instruments installed on sluice gate opening rate measuring instruments and motor resistance measuring instruments installed on sluice gate hoists experience measurement errors when struck by lightning or surges.

[0011] When errors or failures occur in measuring equipment, it is difficult to respond to real-time management using only the existing on-site inspection method of managers, and there is a possibility of secondary damage due to the difficulty in responding to real-time management. Therefore, it is necessary to develop technology to predict the occurrence of abnormalities in measuring instruments installed in each managed facility and providing measurement values ​​necessary for facility management before failure occurs.

[0012] Furthermore, measurement data provided by instruments that deliver the values ​​necessary for facility management are stored and processed for use in diagnosing instrument malfunctions; however, as the number of instruments increases, issues regarding data storage capacity arise. Therefore, it is necessary to develop technology for diagnosing instrument malfunctions that takes into account the problem of measurement data storage capacity.

[0013] The present invention aims to solve the aforementioned problems and address the needs by proposing a technology for a measuring instrument malfunction diagnosis system installed in a management facility (water management facility, bridge management facility, tunnel management facility) that diagnoses the occurrence of an abnormality in a measuring instrument installed in the facility to provide measurement values ​​necessary for facility management. When diagnosing an abnormality, considering the issue of measurement data storage capacity, the system processes only the abnormal measurement values ​​among the measurements provided by the measuring instrument in a time-series manner and diagnoses the occurrence of an abnormality in the measuring instrument by analyzing the storage pattern of the time-series processed abnormal measurement values. The following are prior art related to this. Prior art literature

[0015] 1. Korean Patent Publication No. 10-1751381 2. Korean Patent Publication No. 10-1751385 3. Korean Patent Publication No. 10-1758248 4. Korean Patent Publication No. 10-2271547

[0016] 1. Development of Measurement Technology for Rural Water Resource Management Efficiency (Rural Development Administration, April 2012) 2. A Study on an Autonomous Operation Management System Applying Intelligent Information Technology to Hydraulic Facilities (Chosun University, August 2022) The problem to be solved

[0017] The present invention aims to diagnose the occurrence of an abnormality in a measuring instrument installed in a management facility (water management facility, bridge management facility, tunnel management facility) that provides measurement values ​​necessary for facility management, wherein, when diagnosing the abnormality, only the abnormal measurement values ​​among the measurement values ​​provided by the measuring instrument are stored in a time series, and the abnormality in the measuring instrument is diagnosed by analyzing the storage pattern of the abnormal measurement values ​​stored in a time series. means of solving the problem

[0019] The present invention, a diagnostic system for measuring instrument abnormalities installed in a management facility for solving the above problem, is:

[0020] A plurality of measuring instruments (100) installed in a management facility and periodically providing analog measurement values ​​required for facility management to an intelligent RTU (200);

[0021] The system includes an intelligent RTU (200) that converts and processes analog measurement values ​​periodically provided by multiple measuring instruments (100) into digital measurement values, processes only abnormal digital measurement values ​​among the converted digital measurement values ​​in a time-series manner for each measuring instrument, analyzes the storage pattern of abnormal digital measurement values ​​processed in a time-series manner for each measuring instrument to diagnose the occurrence of an abnormality in the measuring instrument, and generates event information according to the diagnosis result, and the management facilities include water management facilities, bridge management facilities, and tunnel management facilities. Effects of the invention

[0023] The present invention diagnoses the occurrence of an abnormality in a measuring instrument installed in a management facility (water management facility, bridge management facility, tunnel management facility) to provide measurement values ​​necessary for facility management, wherein when diagnosing the abnormality, only the abnormal measurement values ​​among the measurement values ​​provided by the measuring instrument are stored in a time series, and the abnormality of the measuring instrument can be diagnosed by analyzing the storage pattern of the abnormal measurement values ​​stored in a time series, thereby providing the effect of resolving the problem of storage capacity of large-capacity measurement data and the effect of predicting the occurrence of an abnormality in the measuring instrument in advance before failure occurs. Brief explanation of the drawing

[0025] FIG. 1 is an overall configuration diagram of the present invention. FIG. 2 is an explanatory diagram of the normal / abnormal measurement value storage of the present invention. FIG. 3 is an explanatory diagram of event information according to the abnormal measurement value storage pattern of the present invention. Specific details for implementing the invention

[0026] Embodiments of the present invention will be described in detail with reference to the attached drawings.

[0027] The present invention, a measuring instrument abnormality diagnosis system installed in a management facility (hereinafter the present invention), is an invention that diagnoses the occurrence of abnormalities in a measuring instrument installed in a management facility (water management facility, bridge management facility, tunnel management facility) to provide measurement values ​​necessary for facility management, and when diagnosing the occurrence of an abnormality, only the abnormal measurement values ​​among the measurement values ​​provided by the measuring instrument are stored and processed in a time series, and the abnormality of the measuring instrument can be diagnosed by analyzing the storage pattern of the abnormal measurement values ​​stored in a time series, thereby providing the effect of resolving the problem of storage capacity of large-capacity measurement data and the effect of predicting the occurrence of abnormalities in the measuring instrument in advance before failure occurs. As shown in FIG. 1, it is characterized by being composed of a plurality of measuring instruments (100) and an intelligent RTU (200).

[0029] Specifically, the measuring instrument fault diagnosis system of the present invention, as illustrated in FIG. 1,

[0030] A plurality of measuring instruments (100) installed in a management facility and periodically providing analog measurement values ​​required for facility management to an intelligent RTU (200);

[0031] It is characterized by including an intelligent RTU (200) that converts and processes analog measurement values ​​periodically provided by a plurality of measuring instruments (100) into digital measurement values, processes only abnormal digital measurement values ​​among the converted and processed digital measurement values ​​in a time series for each measuring instrument, analyzes the storage pattern of abnormal digital measurement values ​​processed in a time series for each measuring instrument to diagnose the occurrence of an abnormality in the measuring instrument, and generates event information according to the diagnosis result.

[0033] The above plurality of measuring instruments (100) are configured to be installed in a managed facility and periodically provide analog measurement values ​​necessary for facility management to an intelligent RTU (200).

[0034] The management facilities where measuring instruments (100) are installed include water management facilities installed in dams, freshwater lakes, rivers, drainage gates, etc., bridge management facilities installed in bridges, and tunnel management facilities installed in tunnels.

[0035] As illustrated in FIG. 1, the measuring instrument (100) is installed in water management facilities, bridge management facilities, and tunnel management facilities and periodically (e.g., every 1 to 2 seconds) provides analog measurement values ​​required for facility management to an intelligent RTU (200) in an analog form.

[0036] The measuring instruments installed in the water management facility include water quality measuring instruments, flow velocity measuring instruments, flow rate measuring instruments, water level measuring instruments, motor resistance measuring instruments, and sluice gate opening rate measuring instruments. Accordingly, the measuring instruments installed in the water management facility provide water quality measuring values, flow velocity measuring values, flow rate measuring values, water level measuring values, motor (sluice gate hoisting motor, pump motor, etc.) winding resistance measuring values, and sluice gate opening rate measuring values ​​periodically (e.g., every 1 to 2 seconds) to an intelligent RTU (200).

[0037] In addition, the measuring instruments installed in the bridge management facility include dynamic strain measuring instruments, wind direction / speed measuring instruments, acceleration measuring instruments, earthquake measuring instruments, deck inclination measuring instruments, expansion joint displacement measuring instruments, deck deflection measuring instruments, temperature measuring instruments, humidity measuring instruments, water level measuring instruments, etc. Accordingly, the measuring instruments installed in the bridge management facility periodically (e.g., every 1 to 2 seconds) provide the dynamic strain measuring values, wind direction / speed measuring values, acceleration measuring values, earthquake intensity measuring values, bridge deck inclination measuring values, expansion joint displacement measuring values, deck deflection measuring values, ambient temperature measuring values, ambient humidity measuring values, and water level measuring values ​​under the bridge to the intelligent RTU (200) in an analog form.

[0038] In addition, the measuring instruments installed in the tunnel management facility include earthquake / vibration measuring instruments, road surface condition measuring instruments, tunnel internal displacement measuring instruments, fire measuring instruments, illuminance measuring instruments, CO2 measuring instruments, crack measuring instruments, motor resistance measuring instruments, etc. Accordingly, the above measuring instruments installed in the tunnel management facility periodically (e.g., every 1 to 2 seconds) provide earthquake / vibration measuring values, tunnel internal road surface condition measuring values, tunnel internal displacement measuring values, tunnel internal fire measuring values, tunnel internal illuminance measuring values, tunnel internal CO2 measuring values, tunnel crack measuring values, motor resistance measuring values ​​of motors driving barriers / fire shutters / escape tunnel doors, etc., in an analog form to the intelligent RTU (200).

[0040] The analog measurement value provided to the intelligent RTU (200) is characterized in that, when provided in the form of current, it is a value within 4 to 20 mA, and when provided in the form of voltage, it is a value within 1 to 5 V.

[0041] For example, if the measuring instrument (100) is a water level measuring instrument and the water level measuring instrument can measure a water level range of 0.1 to 20 m, if the measured water level is 0.1 m, the water level measuring instrument provides an analog measurement value of 4 mA or 1 V to the intelligent RTU (200); if the measured water level is 10 m, the water level measuring instrument provides an analog measurement value of a current value within 0.1 to 20 m corresponding to 10 m or an analog measurement value of a voltage value within 1 to 5 V to the intelligent RTU (200); if the measured water level is 20 m, the water level measuring instrument provides an analog measurement value of 20 mA or 5 V to the intelligent RTU (200); and the analog measurement values ​​provided to the intelligent RTU (200) are converted into digital measurement values.

[0043] The above intelligent RTU (200) is configured to convert and process analog measurement values ​​periodically provided by a plurality of measuring instruments (100) into digital measurement values, process only abnormal digital measurement values ​​among the converted and processed digital measurement values ​​in a time-series manner for each measuring instrument, analyze the storage pattern of abnormal digital measurement values ​​processed in a time-series manner for each measuring instrument to diagnose the occurrence of an abnormality in the measuring instrument, and generate event information according to the diagnosis result.

[0044] Referring to FIG. 2, the processing of storing digital measurement values ​​of an intelligent RTU (200) will be described.

[0045] First, the intelligent RTU (200) converts analog measurement values ​​periodically provided by a plurality of measuring instruments (100) into digital measurement values, and the converted digital measurement values ​​are characterized by being values ​​within the range of 13107 to 65535.

[0046] For example, if the analog measurement value provided by the measuring instrument (100) is 4mA or 1V, the converted digital measurement value is converted to 13107; if the analog measurement value provided by the measuring instrument (100) is a value within 4~20mA or within 1~5V, the converted digital measurement value is converted to any value within 13107~65535 corresponding to the analog measurement value provided by the measuring instrument (100); and if the analog measurement value provided by the measuring instrument (100) is 20mA or 5V, the converted digital measurement value is converted to 65535.

[0048] The intelligent RTU (200) stores the converted digital measurement values ​​in memory. Among the converted digital measurement values, normal digital measurement values ​​are temporarily stored in temporary memory allocated to the instrument, and abnormal digital measurement values ​​are permanently stored in permanent memory allocated to the instrument.

[0049] The intelligent RTU (200) is equipped with a temporary memory as a temporary storage means and a permanent memory as a permanent storage means, and the storage area for the temporary memory and the permanent memory is allocated for each instrument.

[0050] Accordingly, among the converted digital measurement values, normal digital measurement values ​​are temporarily stored in the temporary memory allocated to the corresponding instrument, and abnormal digital measurement values ​​are permanently stored in the permanent memory allocated to the corresponding instrument. At this time, since the normal digital measurement values ​​temporarily stored in the temporary memory for each instrument are updated with the new normal digital measurement values ​​when a new normal digital measurement value occurs, as shown in FIG. 2, only the previous normal digital measurement value, which is the latest normal digital measurement value, is always temporarily stored in the temporary memory for each instrument. In addition, the abnormal digital measurement values ​​accumulated and converted up to date are permanently stored in the permanent memory for each instrument, and the occurrence of an abnormality in the instrument is diagnosed using the accumulated abnormal digital measurement values.

[0052] Specifically, the intelligent RTU (200) determines whether the currently converted digital measurement value is within a preset tolerance compared to the previous normal digital measurement value temporarily stored in temporary memory, and if the result of the determination is within the preset tolerance, the currently converted digital measurement value is determined to be normal and the previous normal digital measurement value stored in temporary memory is updated to the currently converted normal digital measurement value, and if the result of the determination is outside the preset tolerance, the currently converted digital measurement value is determined to be abnormal and the abnormal digital measurement value and storage time information are permanently stored in permanent memory, so that among the converted digital measurement values, only the abnormal digital measurement value is accumulated and stored in permanent memory in a time series.

[0053] The preset tolerance used to determine whether the currently converted digital measurement value is normal or abnormal may vary depending on the measurement value provided by each instrument. For example, the tolerance for the measurement value provided by instrument A may be preset to 3%, the tolerance for the measurement value provided by instrument B may be preset to 5%, and the tolerance for the measurement value provided by instrument C may be preset to 10%.

[0054] First, the intelligent RTU (200) determines whether the currently converted digital measurement value is within a preset tolerance compared to the previous normal digital measurement value temporarily stored in temporary memory.

[0055] For example, if the currently converted digital measurement value is a water level digital measurement value and the tolerance of the water level measurement value is preset to 3%, it is determined whether the currently converted digital measurement value is within 3% of the previous normal water level digital measurement value temporarily stored in the temporary memory allocated to the water level meter.

[0056] Based on the judgment result, if it is within the preset tolerance, the currently converted digital measurement value is determined to be normal, and the previous normal digital measurement value stored in temporary memory is updated to the currently converted normal digital measurement value; if it is outside the preset tolerance, the currently converted digital measurement value is determined to be abnormal, and the corresponding abnormal digital measurement value and storage time information are permanently stored in permanent memory.

[0057] For example, if the currently converted digital water level measurement value is “15514” and the previous normal digital water level measurement value temporarily stored in the temporary memory allocated to the water level meter is “15231”, the currently converted digital water level measurement value “15514” is within “15687”, which is 1.03 times the previous normal digital water level measurement value “15231” (when the preset tolerance is 3%), so the currently converted digital water level measurement value “15514” is determined to be normal data, and the previous normal digital measurement value stored in the temporary memory is updated to “15514” instead of “15231”.

[0058] As another example, if the currently converted digital water level measurement value is “15787” and the previous normal digital water level measurement value temporarily stored in the temporary memory allocated to the water level meter is “15231”, the currently converted digital water level measurement value “15787” is a value outside of “15687”, which is 1.03 times the previous normal digital water level measurement value “15231” (when the preset tolerance is 3%), so the currently converted digital water level measurement value “15787” is determined to be abnormal data, and the currently converted digital water level measurement value “15787” and the storage time information “2025-10-13-11:33:25” are processed to be permanently stored in the permanent memory.

[0059] As described above, analog measurement values ​​provided by all water management facilities are converted into digital values, and among the converted digital measurement values, only abnormal digital measurement values ​​are stored in permanent memory in a time series.

[0060] As described above, the reason for accumulating and storing only abnormal digital measurement values ​​in permanent memory is not only to diagnose the occurrence of abnormalities in the measuring instrument using these values, but also to resolve the issue of storage capacity for large volumes of measurement data.

[0061] Generally, among the measurement values ​​provided by the measuring instruments, the normal measurement values ​​are overwhelmingly more numerous than the abnormal measurement values. If the normal measurement values ​​are also stored in memory, a storage capacity problem may occur in the intelligent RTU (200). Since the storage capacity problem becomes more serious as the number of measuring instruments increases, the normal digital measurement values ​​are temporarily stored in temporary memory only for determining whether the current converted digital measurement value is normal or abnormal, and only the abnormal digital measurement values ​​are stored in permanent memory.

[0063] Referring to FIG. 3, the diagnosis of abnormality in the measuring instrument of the intelligent RTU (200) and the generation of event information based on the diagnosis result will be described.

[0064] Specifically, the intelligent RTU (200) is,

[0065] Diagnose the occurrence of an abnormality in a measuring instrument (100) by using the storage time information of abnormal digital measurement values ​​that are stored and processed in a time-series manner in the permanent memory of each measuring instrument and the measurement value provision period information of the measuring instrument (100).

[0066] If the measuring instrument (100) is not a motor resistance measuring instrument, if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which abnormal digital measurement values ​​are stored sporadically only at the point of provision of some measurement values, it is determined that an inspection abnormality has occurred in the measuring instrument (100), and inspection event information including identification information of the measuring instrument (100) is generated; and if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which abnormal digital measurement values ​​are continuously stored at every point of provision of measurement values, it is determined that a failure abnormality has occurred in the measuring instrument (100), and failure event information including identification information of the measuring instrument (100) is generated.

[0067] When the measuring instrument (100) is a motor resistance measuring instrument, if at least one abnormal digital measurement value is stored, it is determined that a fault has occurred in the motor and motor failure event information including motor identification information is generated.

[0069] The above intelligent RTU (200) diagnoses an abnormality in the measuring instrument (100) by using information on the storage time of abnormal digital measurement values ​​that are accumulated and processed in a time-series manner in the permanent memory for each measuring instrument and information on the measurement value provision period of the measuring instrument (100).

[0070] As illustrated in FIG. 2, abnormal digital measurement values ​​and storage time information for each abnormal digital measurement value are stored in a time series in the permanent memory allocated to each instrument. The intelligent RTU (200) diagnoses abnormalities in the instruments (100) by using the storage time information of the abnormal digital measurement values ​​that have been stored in a time series and the measurement value provision period information of the instruments (100).

[0071] If the measuring instrument (100) is not a motor resistance measuring instrument, the intelligent RTU (200) determines that an inspection abnormality has occurred in the measuring instrument (100) if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which they are stored sporadically only at the time of providing some measurement values, and generates inspection event information containing identification information of the measuring instrument (100).

[0072] For example, if the storage pattern of abnormal water level digital measurement values ​​stored in the permanent memory allocated to the water level gauge is a time-series storage pattern in which values ​​are stored sporadically only at certain times when measurement values ​​are provided—that is, as illustrated in FIG. 3A, the second abnormal water level digital measurement value is stored 4 seconds after the first abnormal water level digital measurement value is stored (which is twice the water level measurement provision cycle of 2 seconds); the third abnormal water level digital measurement value is stored 8 seconds after the second abnormal water level digital measurement value is stored (which is four times the water level measurement provision cycle of 2 seconds); the fourth abnormal water level digital measurement value is stored 10 seconds after the third abnormal water level digital measurement value is stored (which is five times the water level measurement provision cycle of 2 seconds); the fifth abnormal water level digital measurement value is stored 6 seconds after the fourth abnormal water level digital measurement value is stored (which is three times the water level measurement provision cycle of 2 seconds); and the sixth abnormal If the storage pattern of the digital water level measurement value is sporadic, it is determined that an inspection anomaly has occurred in the water level meter, and inspection event information including the identification information of the water level meter is generated.

[0073] In other words, under normal conditions, abnormal digital water level measurements should not be stored in the permanent memory allocated to the water level gauge; however, the fact that abnormal digital measurements have been stored, albeit sporadically, implies that while it is not a malfunction, it is not in a normal state. Therefore, it is determined that the water level gauge requires inspection, and inspection event information is generated.

[0074] The administrator inspects the corresponding water level meter using the water level meter identification information included in the inspection event information.

[0076] Additionally, if the measuring instrument (100) is not a motor resistance measuring instrument, the intelligent RTU (200) determines that a fault has occurred in the measuring instrument (100) if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which abnormal digital measurement values ​​are continuously stored at every time a measurement value is provided, and generates fault event information including identification information of the measuring instrument (100).

[0077] For example, if the storage pattern of abnormal digital water level measurements stored in the permanent memory allocated to the water level meter is a time-series pattern in which they are continuously stored at every time the measurement value is provided, that is, as shown in Fig. 3B, if the storage pattern in which all abnormal digital water level measurements are continuously stored every 2 seconds, which is the water level measurement value provision cycle, it is determined that a fault has occurred in the water level meter, and a fault event information containing identification information of the water level meter is generated.

[0078] In other words, under normal circumstances, abnormal digital water level measurements should not be stored in the permanent memory allocated to the water level gauge; however, if the storage pattern of these abnormal digital measurements is not sporadic but rather a continuous pattern of storage at every time a water level measurement is provided—that is, if the water level gauge sends an abnormal measurement value every time—it is determined that a malfunction has occurred in the water level gauge, and malfunction event information is generated.

[0079] The manager uses the water level gauge identification information included in the failure event information to repair or replace the corresponding water level gauge.

[0081] Additionally, if the measuring instrument (100) is a motor resistance measuring instrument, the intelligent RTU (200) determines that a fault has occurred in the motor if at least one abnormal digital measurement value is stored, and generates motor fault event information including motor identification information.

[0082] Generally, motors must maintain a constant rated resistance value of the windings designed during manufacturing. However, if failures such as winding short circuits, insulation damage, or aging occur, the motor may fail to maintain the rated resistance value designed during manufacturing. Consequently, the motor may not operate or may over-operate, causing secondary accidents. Therefore, if the motor's winding resistance value is not the rated resistance value designed during manufacturing, the motor is considered to be faulty.

[0083] Therefore, the fact that at least one abnormal winding resistance digital measurement value is stored in the permanent memory allocated to the motor resistance meter means that the winding rated resistance value designed at the time of manufacturing was not maintained at least once, thus generating motor failure event information.

[0084] The manager uses the motor identification information included in the motor failure event information to repair or replace the corresponding motor.

[0086] Meanwhile, the sluice gate hoist motor or pump motor installed in the water management facility operates for drainage according to the water level measurement value provided by the water level gauge. For example, if the water level based on the water level measurement value is above a preset reference water level, the sluice gate operates to open for drainage or the pump motor operates to pump, and after operation, when the water level based on the water level measurement value reaches the preset reference water level, the operation stops.

[0087] In this case, the water level gauge, which provides the water level measurement value to the motor, is usually installed underwater. Aquatic plants or similar objects in the water may come into contact with the gauge. When these objects are in contact, the gauge provides an abnormal water level measurement value to the motor (e.g., providing a value higher than the reference level when the actual water level is the reference level), thereby causing the motor to malfunction.

[0088] If water plants come into periodic contact with the water level gauge, the motor will repeatedly start and stop periodically. If the contact period is too short, the motor will frequently start and stop, causing it to overheat, and in severe cases, a fire may occur in the motor.

[0089] To resolve these problems, the intelligent RTU (200) is characterized by the fact that when the measuring instrument (100) is a water level measuring instrument installed in a water management facility, the abnormal water level digital measurement values ​​are not continuously stored at every time the measurement value is provided, but are continuously stored in a time-series storage pattern, and if the storage period is within a preset period, it generates motor fire occurrence event information including identification information of the water level measuring instrument and identification information of the motor receiving the water level measurement value from the water level measuring instrument.

[0090] For example, the storage pattern of abnormal water level digital measurement values ​​stored in the permanent memory allocated to the water level gauge is not stored continuously at every time a measurement value is provided, but rather a pattern of continuous storage at a constant storage period; and if the said storage period is within a preset period, that is, as illustrated in FIG. 3C, the second abnormal water level digital measurement value is stored 6 seconds after the first abnormal water level digital measurement value is stored, which is 3 times the water level measurement value provision period of 2 seconds (when the preset storage period for determining the possibility of motor fire is set to 3 times the measurement value provision period); the third abnormal water level digital measurement value is stored 6 seconds after the second abnormal water level digital measurement value is stored, which is 3 times the water level measurement value provision period of 2 seconds; the fourth abnormal water level digital measurement value is stored 6 seconds after the third abnormal water level digital measurement value is stored, which is 3 times the water level measurement value provision period of 2 seconds; and the fifth abnormal water level is stored 6 seconds after the fourth abnormal water level digital measurement value is stored, which is 3 times the water level measurement value provision period of 2 seconds. If the storage pattern is such that a digital measurement value is stored, and a sixth abnormal water level digital measurement value is stored 6 seconds after the fifth abnormal water level digital measurement value is stored, which is three times the water level measurement value provision cycle of 2 seconds, then it is determined that there is a possibility of fire occurring in the motor, and motor fire occurrence possibility event information is generated that includes identification information of the water level meter and identification information of the motor receiving the water level measurement value from the water level meter.

[0091] The manager inspects the motor corresponding to the motor identification information included in the motor fire potential event information and examines the underwater environment of the water level gauge corresponding to the water level gauge identification information included in the motor fire potential event information, taking measures to prevent water plants or the like from coming into contact with the water level gauge. Therefore, damage such as motor overheating and fire that may occur due to incorrect measurement by the water level gauge caused by the underwater environment can be prevented.

[0093] Although the technical concept of the present invention has been described above together with the accompanying drawings, this is merely an illustrative description of preferred embodiments of the present invention and is not intended to limit the invention. It is obvious that the scope of the rights of the present invention is not limited to the embodiments but includes modifications made by those skilled in the art within the scope of the technical concept of the present invention. Explanation of the symbols

[0095] 100 : Measuring instrument 200: Intelligent RTU

Claims

Claim 1 A diagnostic system for abnormalities in measuring instruments installed in a managed facility comprises: a plurality of measuring instruments (100) installed in the managed facility that periodically provide analog measuring values ​​necessary for facility management to an intelligent RTU (200); an intelligent RTU (200) that converts and processes the analog measuring values ​​periodically provided by the plurality of measuring instruments (100) into digital measuring values, processes and stores only the abnormal digital measuring values ​​among the converted and processed digital measuring values ​​in a time-series manner for each measuring instrument, analyzes the storage pattern of the abnormal digital measuring values ​​stored in a time-series manner for each measuring instrument to diagnose the occurrence of an abnormality in the measuring instrument, and generates event information according to the diagnosis result; wherein the intelligent RTU (200) temporarily stores normal digital measuring values ​​among the converted and processed digital measuring values ​​in a temporary memory allocated to the corresponding measuring instrument and permanently stores abnormal digital measuring values ​​in a permanent memory allocated to the corresponding measuring instrument, and determines whether the currently converted digital measuring value is within a preset allowable error compared to the previous normal digital measuring value temporarily stored in the temporary memory, and if the result of the determination is within the preset allowable error, determines the currently converted digital measuring value as normal and sets the previous normal digital measuring value stored in the temporary memory as the currently converted normal digital measuring value. The update process is performed, and if the judgment result is outside the preset tolerance, the currently converted digital measurement value is determined to be abnormal, and the abnormal digital measurement value and storage time information are permanently stored in permanent memory, so that among the converted digital measurement values, only the abnormal digital measurement value is accumulated and stored in permanent memory in a time-series manner, and the intelligent RTU (200) diagnoses the occurrence of an abnormality in the measurement instrument (100) by using the storage time information of the abnormal digital measurement values ​​accumulated and stored in permanent memory in a time-series manner for each measurement instrument and the measurement value provision period information of the measurement instrument (100), wherein if the measurement instrument (100) is not a motor resistance measurement instrument,A diagnostic system for abnormal measuring instruments installed in a management facility, characterized in that if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which abnormal values ​​are stored sporadically only at the point of provision of some measurement values, it is determined that an inspection abnormality has occurred in the measuring instrument (100) and an inspection event information including identification information of the measuring instrument (100) is generated; if the storage pattern of abnormal digital measurement values ​​is a time-series storage pattern in which abnormal digital measurement values ​​are continuously stored at every point of provision of measurement values, it is determined that a failure abnormality has occurred in the measuring instrument (100) and a failure event information including identification information of the measuring instrument (100) is generated; and if the measuring instrument (100) is a motor resistance measuring instrument, if at least one abnormal digital measurement value is stored, it is determined that a failure abnormality has occurred in the motor and a motor failure event information including motor identification information is generated; and the management facility includes water management facilities, bridge management facilities, and tunnel management facilities. Claim 2 A diagnostic system for abnormal measuring instruments installed in a management facility according to claim 1, wherein the plurality of measuring instruments (100) include, when the management facility is a water management facility, a water quality measuring instrument, a flow velocity measuring instrument, a flow rate measuring instrument, a water level measuring instrument, a motor resistance measuring instrument, and a sluice gate opening rate measuring instrument; when the management facility is a bridge management facility, a dynamic strain measuring instrument, a wind direction / wind speed measuring instrument, an acceleration measuring instrument, an earthquake measuring instrument, a deck inclination measuring instrument, an expansion joint displacement measuring instrument, a deck deflection measuring instrument, a temperature measuring instrument, a humidity measuring instrument, and a water level measuring instrument; and when the management facility is a tunnel management facility, an earthquake / vibration measuring instrument, a road surface condition measuring instrument, a tunnel internal displacement measuring instrument, a fire measuring instrument, an illuminance measuring instrument, a CO2 measuring instrument, a crack measuring instrument, and a motor resistance measuring instrument. Claim 3 A measuring instrument fault diagnosis system installed in a management facility according to claim 1, characterized in that the analog measuring value provided to the intelligent RTU (200) is a value within 4 to 20 mA when provided in the form of current, and a value within 1 to 5 V when provided in the form of voltage, and the converted digital measuring value is a value within the range of 13107 to 65535. Claim 4 delete Claim 5 delete Claim 6 A diagnostic system for abnormalities in a measuring instrument installed in a water management facility according to claim 1, wherein the intelligent RTU (200) is a water level measuring instrument installed in a water management facility, and the abnormal water level digital measurement values ​​are not continuously stored at every time the measurement value is provided but are continuously stored at a fixed storage period, and if the storage period is within a preset period, the system generates motor fire occurrence potential event information including identification information of the water level measuring instrument and identification information of the motor receiving the water level measurement value from the water level measuring instrument.

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