Performance analysis and prediction system using transient state information of target device and performance analysis and prediction method using the same

Abstract

In a performance analysis and prediction system using transient state information of a target device and a performance analysis and prediction method using the same, the performance analysis and prediction system comprises: a transient state information extraction unit that extracts transient state information from operating state information of a target device; a comparison information extraction unit that extracts normal transient state information of a target device under similar environmental conditions as comparison information; an error calculation unit that calculates an error by comparing the transient state information and the comparison information; an error tracking unit that tracks changes in an error including the calculated error; and a diagnosis prediction unit that diagnoses the current state of a target device and predicts a maintenance time based on the trend of changes in the error.

Description

Technology Field

[0001] The present invention relates to a performance analysis and prediction system using transient state information of a target device and a performance analysis and prediction method using the same. More specifically, the invention relates to a performance analysis and prediction system using transient state information of a target device and a performance analysis and prediction method using the same, which can analyze transient state information generated during the operation of a target device, such as a railway signaling facility, diagnose the current state of the device, determine the possibility of failure based on the above, and take appropriate measures in advance to prevent railway failures from occurring. Background Technology

[0002] Railway operating organizations operate maintenance facilities, such as electrical equipment technical support systems, to monitor the operating status of railway signaling equipment, detect the occurrence of failures, and analyze the causes of failures.

[0003] This electrical equipment technical support system is connected to a track circuit function monitoring device (TLDS) that monitors the operating status of track circuits and a track switch function monitoring device that monitors the operating status of track switches, and stores information generated when the monitored object operates. In addition, this maintenance equipment gives an alarm to the user when the monitored object exceeds or falls below a set value, and the user analyzes the stored information regarding the device that triggered the alarm to verify the fixation and perform necessary maintenance.

[0004] However, although the aforementioned track circuit function monitoring device, track switch function monitoring device, etc., monitor the operating status of the target device and issue a warning if an abnormality occurs or if a failure occurs, they do not provide a function to diagnose the operating status of the target device monitored by each device or to predict the possibility of failure.

[0005] In other words, as in the conventional Korean registered patent No. 10-1794543, although a technology for identifying fault detection in a track switch is disclosed, it also fails to implement a function for predicting the likelihood of a track switch failure. Prior art literature

[0006] Republic of Korea Registered Patent No. 10-1794543 The problem to be solved

[0007] Accordingly, the technical problem of the present invention is conceived from this point, and the objective of the present invention is to provide a performance analysis and prediction system using transient state information of a target device that can analyze transient state information generated during the operation of a target device, such as a railway signaling facility, diagnose the current state of the device, determine the possibility of failure based on this, and take appropriate measures in advance to prevent railway failures from occurring.

[0008] In addition, another objective of the present invention is to provide a performance analysis and prediction method using the above-described performance analysis and prediction system. means of solving the problem

[0009] A performance analysis and prediction system according to one embodiment for realizing the purpose of the present invention described above includes: a transient state information extraction unit that extracts transient state information from operating state information of a target device; a comparison information extraction unit that extracts normal transient state information of a target device under similar environmental conditions as comparison information; an error calculation unit that calculates an error by comparing the transient state information and the comparison information; an error tracking unit that tracks changes in an error including the calculated error; and a diagnosis prediction unit that diagnoses the current state of a target device and predicts a maintenance time based on the trend of changes in the error.

[0010] In one embodiment, the target device is a railway signaling device, and the railway signaling device may include at least one of a track circuit, a train position detection device, a track switch, a train spacing control device, and a train route control device.

[0011] In one embodiment, the transient state information may be the state of current and voltage during the process in which a train occupies the track circuit and the process in which the train leaves the track circuit and switches to non-occupancy, in the case of a track circuit which is a railway signaling device that detects the position of a train.

[0012] In one embodiment, the similar environmental condition may be the environmental condition closest to the environmental condition where the target device is installed, when the most recent transient state information is generated in the target device.

[0013] In one embodiment, the transient time setting unit may further include a transient time setting unit for setting the transient time for extracting transient state information of the target device in the transient state information extraction unit.

[0014] In one embodiment, the transient time setting unit may set the transient time in advance by considering the operating characteristics of the target device, or set the transient time by extracting the time at which the transient state started and the time at which it ended from the transient state information of the target device.

[0015] In one embodiment, the comparison information extraction unit can extract comparison information by expanding the range of the operating conditions when the operating conditions of the target device differ relatively significantly from the operating conditions up to that point.

[0016] In one embodiment, the error calculation unit may perform correction when the range of the operating conditions is expanded.

[0017] A performance analysis and prediction method according to one embodiment for realizing another objective of the present invention described above comprises: a step of extracting transient state information from operating state information of a target device; a step of extracting normal transient state information of the target device under similar environmental conditions as comparison information; a step of calculating an error by comparing the transient state information and the comparison information; a step of tracking a change in error including the calculated error; and a step of diagnosing the current state of the target device and predicting a maintenance time based on the trend of change in the error.

[0018] In one embodiment, if abnormal information occurs in the target device, the step of extracting the transient state information may be further included.

[0019] In one embodiment, if the operating condition of the target device differs relatively from the operating condition up to that point and the range of the operating condition is expanded, the method may further include a step of performing correction during the error calculation. Effects of the invention

[0020] According to embodiments of the present invention, unlike simply providing guidance on situations where a failure or malfunction occurs, the current state of the device is diagnosed based on transient state information generated when the device is operating, and the future inspection of the device is determined or the timing of the inspection is predicted based on state information from the past to the present.

[0021] Accordingly, by minimizing the occurrence of failures in the device, the reliability and availability of the device's operation can be improved. Brief explanation of the drawing

[0022] FIG. 1 is a block diagram illustrating a performance analysis and prediction system using transient state information of a target device according to one embodiment of the present invention. Figure 2 is a flowchart illustrating a performance analysis and prediction method using the performance analysis and prediction system of Figure 1. Figure 3 is a flowchart illustrating the performance analysis and prediction method of Figure 2 in more detail. Specific details for implementing the invention

[0023] The present invention is susceptible to various modifications and may take various forms, and embodiments are to be described in detail in the text. However, this is not intended to limit the invention to the specific disclosed forms, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each figure. Terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms.

[0024] The above terms are used solely for the purpose of distinguishing one component from another. The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise.

[0025] In this application, terms such as "comprising" or "consisting of" are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0026] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0027] Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings.

[0028] FIG. 1 is a block diagram illustrating a performance analysis and prediction system using transient state information of a target device according to one embodiment of the present invention.

[0029] Referring to FIG. 1, the performance analysis and prediction system (hereinafter referred to as the performance analysis and prediction system) (1) using transient state information of the target device according to the present embodiment includes an information judgment unit (10), an operation condition analysis unit (20), a transient state information extraction unit (30), a transient time setting unit (40), a comparison information extraction unit (50), an error calculation unit (60), an error tracking unit (70), and a diagnosis prediction unit (80).

[0030] For convenience of explanation, the above performance analysis and prediction system (1) will be described together with the description of the performance analysis and prediction method (hereinafter referred to as the performance analysis and prediction method) using the transient state information of a target device using the above performance analysis and prediction system (1) described later.

[0031] FIG. 2 is a flowchart illustrating a performance analysis and prediction method using the performance analysis and prediction system of FIG. 1. FIG. 3 is a flowchart illustrating the performance analysis and prediction method of FIG. 2 in more detail.

[0032] First, referring to FIGS. 1, 2 and 3, in the performance analysis and prediction method, the information determination unit (10) receives noise information or state information (11) of the target device as well as information (12) related to the operation of the target device, and determines the operation state information or noise information of the target device (step S10).

[0033] In this case, the above target device refers to a device that is the subject of the performance analysis and prediction, and the target is not limited to, for example, a railway signaling device.

[0034] The above-mentioned railway signaling device is a safety facility that ensures the safe operation of a train and may be composed of at least one device, such as a train position detection device, a track switch, a train spacing control device, and a train route control device. In other words, since a failure of the above-mentioned railway signaling device can ultimately cause train operational disruptions, train derailments, or train collision accidents, it is necessary to detect such failures in advance before they occur or to predict the possibility of future failures proactively.

[0035] Accordingly, the information judgment unit (10) must be able to receive in advance information regarding the operating state of a target device, such as the railway signal device, as well as information regarding the type and magnitude of noise generated by the device, and to make a judgment on the operating state information and noise information of the target device.

[0036] Thus, based on the information determined as above, subsequent procedures can be performed.

[0037] Additionally, referring to FIGS. 1, 2 and 3, the operation condition analysis unit (20) performs an analysis of the operation conditions or environmental conditions under which the target device operates (step S20). That is, it performs an analysis on whether the target device operates under certain conditions and under certain environmental conditions, such as temperature, humidity, and rainfall.

[0038] Thus, based on the operating conditions and environmental conditions as described above, the subsequent procedure can be performed.

[0039] Based on information regarding the operating state of such target device, information regarding noise, operating conditions, or environmental conditions, the operating state of the target device can be determined or information regarding various states can be provided.

[0040] Thus, referring to FIGS. 1, 2 and 3, in the performance analysis and prediction method according to the present embodiment, the transient state information extraction unit (30) extracts transient state information (D from the operating state information of the target device) L Extract ) (step S30).

[0041] That is, since the information judgment unit (10) has determined what the operating state information of the target device is, based on this determination result, the transient state information extraction unit (30) extracts transient state information from the operating state information of the target device.

[0042] This utilizes transient state information that is generated only when the target device is operated, and the transient state information can vary depending on the type of the target device.

[0043] For example, if the target device is a track circuit among the railway signaling devices described above, the track circuit is a facility for detecting the position of a train, and information regarding the transient state of current and voltage, such as information during the process of the train occupying the track circuit (transient state) or information during the process of the train leaving the track circuit and switching to non-occupancy (transient state), can be extracted as transient state information.

[0044] In contrast, if the target device is a track switch among the railway signal devices, information regarding the transient state of the voltage and current of the track switch when the track switch switches from a normal position to a reverse position or from a reverse position to a normal position can be extracted as the transient state information.

[0045] Meanwhile, referring to FIGS. 1, 2 and 3, the transient state information extraction unit (30) determines that even if the target device is not in an operating state but abnormal information is generated from the target device, it is information during the transient period and extracts it as transient state information (step S35).

[0046] That is, the information judgment unit (10) mentioned above can determine noise information in the operation of the target device, so based on this, in the case where noise, which is abnormal information of the target device, occurs, it can determine this as information during a transient period and extract it as transient state information.

[0047] For example, when extracting information on current or voltage as the preceding transient state information, the change in the detected current or voltage (when the RMS value switches to 0 or vice versa) or the contact input can be used to determine the operation or noise input of the railway signal device.

[0048] Meanwhile, referring to FIGS. 1, 2 and 3, the comparison information extraction unit (50) obtains normal transient state information (D) of the target device under similar environmental conditions. RN ) is extracted as comparison information (step S40).

[0049] That is, as previously explained, the operation condition analysis unit (20) receives information regarding the operation conditions or environmental state of the target device and analyzes it.

[0050] Accordingly, the comparison information extraction unit (50) checks environmental information such as temperature, humidity, and rainfall in the region where the target device is installed when the most recent transient state information (e.g., current waveform or voltage waveform) generated while the target device was last operating is generated, and extracts as many (N) pieces of information as possible that is closest to the environmental conditions as comparison information.

[0051] That is, the above comparison information is extracted by considering the operating conditions or environmental conditions of the target device.

[0052] Furthermore, the extracted comparison information represents the result of the target device performing normal operation and corresponds to the information closest to the value when compared with the information generated under optimal operating conditions of the target device. Accordingly, the comparison information is not fixed information but is newly updated and selected based on the operating conditions of the comparison target.

[0053] Meanwhile, when the transient state information extraction unit (30) extracts transient state information (step S30), the transient time setting unit (40) can set the transient time in advance by considering the operating characteristics of the target device.

[0054] For example, if the above target device is a track circuit among railway signaling devices, it can be determined by considering the operating characteristics of the relay on the receiving end side. That is, if the time (+t1) required for the relay to be energized and normalized is set as the reference time, information from -t1 to +t1 can be extracted as transient state information.

[0055] Meanwhile, if the above-mentioned target device is a track switch, the time from when the normal or reverse position switching contact is input until the switching is completed and locking is confirmed can be set as a transient time, and information during this transient time can be extracted as transient state information.

[0056] In contrast, the transient time setting unit (40) may, when setting the transient time, analyze the transient state information of the target device to confirm the state change, set the time when the transient state started and the time when the transient state ended, set the transient time, and extract the transient state information during the transient time set in this way.

[0057] As described above, the transient time setting unit (40) can pre-set the transient time for extracting the transient state information or set it through state change analysis.

[0058] Afterwards, referring to FIGS. 1, 2 and 3, in the error calculation unit (60), the transient state information (D L ) and the above comparison information (D RN Calculate the error by comparing ) (step S50).

[0059] That is, in the error calculation unit (60), the transient state information (D L ) and selected N comparison information (D R1 , D R2 , ..., D RN Compare ) to calculate the error (e).

[0060] At this time, with reference to FIGS. 1, 2 and 3, the error calculation unit (60) performs a correction during the error calculation when the operating condition of the target device is relatively increased compared to the operating condition up to that point and the range of the operating condition is expanded (step S55).

[0061] That is, the comparison information extraction unit (50), in the step of extracting the comparison information (step S40), extracts comparison information while expanding the range of operating conditions, because if the operating conditions of the target device differ relatively significantly from the operating conditions up to that point, the comparison information that can be extracted may be limited.

[0062] Accordingly, when comparison information is extracted by expanding the range of the above operating conditions, since expanding the range of operating conditions may affect the extraction of errors, the error calculation unit (60) performs correction when calculating errors.

[0063] At this time, the method of expanding the range of operating conditions is not limited, and the method of performing correction when calculating the error accordingly is also not limited.

[0064] Afterwards, referring to FIGS. 1, FIGS. 2 and FIGS. 3, the error tracking unit (70) tracks the change in error based on the calculated error up to now, including the calculated error (step S60).

[0065] Thus, it is possible to track whether the change in the aforementioned error is trending upward, downward, or maintaining the current state; in particular, if it is trending upward, it is also possible to track the speed or rate of increase. In other words, information regarding the intensity of the trend change of the error can be obtained.

[0066] Accordingly, with reference to FIGS. 1, 2 and 3, the diagnosis prediction unit (80) performs a diagnosis of the current state of the target device based on the trend of the tracked error change and predicts the time for future maintenance (step S70).

[0067] That is, the above-mentioned diagnosis prediction unit (80) can perform a diagnosis of the current state of the target device based on whether the trend of the error change corresponds to an increasing trend, and in particular whether the error result in the current state corresponds to an error or problem occurrence state of the target device.

[0068] Furthermore, the above-mentioned diagnostic prediction unit (80) can predict when an error or problem may occur in the future, considering that the trend of the error change corresponds to an increasing trend and, in particular, the intensity of the trend change, and based on this, it is possible to predict the timing of future maintenance of the target device.

[0069] According to the embodiments of the present invention as described above, unlike simply providing guidance on situations where a failure or malfunction occurs, the current state of the device is diagnosed based on transient state information generated when the device is operating, and the future inspection of the device is determined or the timing of the inspection is predicted based on state information from the past to the present.

[0070] Accordingly, by minimizing the occurrence of failures in the device, the reliability and availability of the device's operation can be improved.

[0071] Although the present invention has been described above with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as set forth in the following claims. Explanation of the symbols

[0072] 1 : Performance Analysis and Prediction System 10 : Information Judgment Unit 20: Operation condition analysis unit 30: Transient state information extraction unit 40: Overtime setting unit 50: Comparison information extraction unit 60 : Error calculation unit 70 : Error tracking unit 80 : Diagnostic prediction unit

Claims

Claim 1 delete Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 delete Claim 6 delete Claim 7 delete Claim 8 delete Claim 9 A step of extracting transient state information from the operating state information of a target device; a step of extracting normal transient state information of the target device under similar environmental conditions as comparison information; a step of calculating an error by comparing the transient state information and the comparison information; a step of tracking changes in the error including the calculated error; A method for performance analysis and prediction, comprising: a step of diagnosing the current state of a target device and predicting a maintenance time based on the change trend of the above error; wherein the step of extracting transient state information includes a step of setting a transient time to extract the transient state information of the target device; wherein the step of setting the transient time includes, if the target device is a track circuit among railway signal devices, a step of setting the transient time in advance by considering the operating characteristics of the receiving end relay; wherein the step of setting the transient time includes, if the target device is a track switch among railway signal devices, a step of setting the time from when a normal or reverse position switching contact is input until the switching is completed and locking is confirmed as the transient time; and wherein, if the target device is not a track circuit and a track switch, a step of setting the transient time by extracting the time when the transient state started and the time when it ended based on the state change of the target device. Claim 10 A performance analysis and prediction method according to claim 9, further comprising the step of extracting transient state information when abnormal information occurs in the target device. Claim 11 A performance analysis and prediction method according to claim 9, further comprising the step of performing correction during error calculation when the operating conditions of the target device differ relatively from the operating conditions up to that point and the range of the operating conditions expands.

Images