Fault detection method, device, computer equipment and storage medium

Abstract

The present disclosure proposes a fault detection method, apparatus, computer device, and storage medium. The method includes detecting an observation item to obtain an actual measurement value corresponding to the observation item; determining multiple reference items corresponding to the observation item and determining multiple reference values ​​corresponding to the multiple reference items; determining a measurement threshold corresponding to the observation item based on the multiple reference values; and determining whether a fault event has occurred in the observation item based on the actual measurement value and the measurement threshold. Through the present disclosure, it is possible to monitor observation items such as state quantities, analog quantities, and video signals of electromechanical equipment in a hydropower plant, logically associate different observation items, automatically analyze the state of the observation items, and improve the fault detection effect for electromechanical equipment.

Description

Technical Field

[0001] The present disclosure relates to the technical field of intelligent inspection of hydropower plants, and in particular to a fault detection method, device, computer equipment, and storage medium. Background Art

[0002] Big data, or massive data collections, are massive, rapidly growing, and diverse information assets that require new processing models to unlock greater decision-making power, insight discovery, and process optimization. Big data involves analyzing and processing all data. Big data's 5V characteristics are: Volume, Velocity, Variety, Value, and Veracity.

[0003] In related technologies, monitoring of observation items such as state quantities, analog quantities, and video signals of electromechanical equipment in hydropower plants usually requires a lot of human resource costs, which makes it easy to introduce human subjective factors, thereby affecting the fault detection and judgment effect of electromechanical equipment. Summary of the Invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the purpose of the present disclosure is to propose a fault detection method, device, computer equipment and storage medium, which can monitor the state quantity, analog quantity, video signal and other observation items of the electromechanical equipment of the hydropower plant, configure logical associations between different observation items, automatically analyze the state of the observation items, and improve the fault detection effect for the electromechanical equipment.

[0006] To achieve the above-mentioned purpose, the fault detection method proposed in the embodiment of the first aspect of the present disclosure includes: detecting the observation item to obtain the actual measurement value corresponding to the observation item; determining multiple reference items corresponding to the observation item, and determining multiple reference values ​​corresponding to the multiple reference items respectively; determining the measurement threshold corresponding to the observation item based on the multiple reference values; and determining whether a fault event occurs in the observation item based on the actual measurement value and the measurement threshold.

[0007] The fault detection method proposed in the embodiment of the first aspect of the present disclosure detects the observation item to obtain the actual measurement value corresponding to the observation item, and determines multiple reference items corresponding to the observation item, determines multiple reference values ​​corresponding to the multiple reference items, and determines the measurement threshold corresponding to the observation item based on the multiple reference values; based on the actual measurement value and the measurement threshold, it is determined whether a fault event occurs in the observation item, which can realize the monitoring of observation items such as the state quantity, analog quantity, video signal and other observation items of the electromechanical equipment of the hydropower plant, perform logical association configuration on different observation items, and can automatically analyze the state of the observation item, thereby improving the fault detection effect on the electromechanical equipment.

[0008] To achieve the above-mentioned purpose, the fault detection device proposed in the second aspect embodiment of the present disclosure includes: a detection module, which is used to detect the observation item to obtain the actual measurement value corresponding to the observation item; a first determination module, which is used to determine multiple reference items corresponding to the observation item, and determine multiple reference values ​​corresponding to the multiple reference items respectively; a second determination module, which is used to determine the measurement threshold corresponding to the observation item based on the multiple reference values; and a third determination module, which is used to determine whether a fault event occurs in the observation item based on the actual measurement value and the measurement threshold.

[0009] The fault detection device proposed in the second aspect of the embodiment of the present disclosure detects the observation item to obtain the actual measurement value corresponding to the observation item, and determines multiple reference items corresponding to the observation item, determines multiple reference values ​​corresponding to the multiple reference items, and determines the measurement threshold corresponding to the observation item based on the multiple reference values; based on the actual measurement value and the measurement threshold, it determines whether a fault event occurs in the observation item, and can realize the monitoring of observation items such as the state quantity, analog quantity, and video signal of the electromechanical equipment of the hydropower plant, perform logical association configuration on different observation items, and can automatically analyze the state of the observation item, thereby improving the fault detection effect on the electromechanical equipment.

[0010] The third embodiment of the present disclosure proposes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the fault detection method proposed in the first embodiment of the present disclosure is implemented.

[0011] The fourth embodiment of the present disclosure proposes a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the fault detection method proposed in the first embodiment of the present disclosure.

[0012] The fifth embodiment of the present disclosure provides a computer program product. When an instruction processor in the computer program product executes, the fault detection method provided in the first embodiment of the present disclosure is executed.

[0013] Additional aspects and advantages of the present disclosure will be given in part in the description below and in part will be obvious from the description below, or will be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0015] Figure 1 is a flowchart of a fault detection method proposed in one embodiment of the present disclosure;

[0016] Figure 2 is a flowchart of a fault detection method proposed in another embodiment of the present disclosure;

[0017] Figure 3 is a flowchart of a fault detection method proposed in another embodiment of the present disclosure;

[0018] Figure 4 is a structural diagram of a fault detection device proposed in one embodiment of the present disclosure;

[0019] Figure 5 is a structural diagram of a fault detection device proposed in another embodiment of the present disclosure;

[0020] Figure 6 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0021] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the present disclosure include all variations, modifications, and equivalents that fall within the spirit and scope of the appended claims.

[0022] Figure 1 It is a flowchart of a fault detection method proposed in an embodiment of the present disclosure.

[0023] like Figure 1 As shown, the fault detection method includes:

[0024] S101: Detecting an observation item to obtain an actual measurement value corresponding to the observation item.

[0025] The observation items may refer to state quantities, analog quantities, video signals, and various measurement points of online monitoring devices of electromechanical equipment in a hydropower plant, and there is no restriction on this.

[0026] In the disclosed embodiment, each observation item can be detected in real time or periodically. For example, different observation items can be logically associated and configured in advance based on the detection processing logic, and the status of each observation item can be automatically analyzed to determine whether the electromechanical equipment is normal.

[0027] The measurement values ​​obtained by real-time or periodic detection of each observation item may be referred to as actual measurement values, that is, one observation item may correspond to one or more actual measurement values, and there is no limitation on this.

[0028] The actual measurement value may be a specific numerical value or a reference symbol or range indicating a degree.

[0029] For example, a temperature sensor can be used to detect the operating temperature of a motor (a motor is a type of electromechanical equipment) during operation in a hydropower plant inspection scenario; a voltmeter and an ammeter can be used to detect the relationship curve between voltage and current when the motor is running; and a sound sensor can be used to obtain the vibration frequency of the motor. The operating temperature, the relationship between voltage and current, the vibration frequency, etc. can be called observation items, and the values ​​obtained from actual detection of the operating temperature, the relationship between voltage and current, the vibration frequency, etc., such as numerical values, curves, or vibration frequencies, can all be called actual measurement values.

[0030] S102: Determine multiple reference items corresponding to the observation item, and determine multiple reference values ​​corresponding to the multiple reference items respectively.

[0031] The reference items may also refer to the state quantities, analog quantities, video signals, and various measuring points of online monitoring devices of electromechanical equipment in a hydropower plant.

[0032] In the embodiment of the present disclosure, the multiple reference items corresponding to the observation items refer to reference items that have an associated relationship with the observation items. The associated relationship indicates the associated relationship between the corresponding measurement items and other measurement items when the multiple electromechanical equipment are in operation, that is, the actual measurement value of observation item A has a certain associated relationship with the reference value of reference item A, and the actual measurement value of observation item B has a certain associated relationship with the reference value of reference item B. There is no restriction on this.

[0033] The reference value may be the value actually observed for the reference item, or it may be the value presented by the reference item when the electromechanical equipment is in normal operation, or it may be the value calibrated for the reference item based on actual working experience when the electromechanical equipment is in normal operation. There is no restriction on this.

[0034] The reference value can be a numerical value, or an identifier or numerical range indicating a certain degree. The reference value can be determined based on past experience records or real-time records during normal operation, etc. There is no restriction on this.

[0035] For example, the operating temperature of the motor during normal operation is used as a reference item. The reference value corresponding to the reference item can be a temperature value or a temperature range. Alternatively, the reference item can also be the relationship between current and voltage when the motor is operating normally, and the vibration frequency of the motor, etc., and the reference value can be, for example, the relationship curve between current and voltage, the vibration frequency of the motor, etc., and there is no limitation on this.

[0036] S103: Determine a measurement threshold corresponding to the observation item based on multiple reference values.

[0037] Among them, the measurement threshold refers to the critical value corresponding to each observation item when the electromechanical equipment may fail. The measurement threshold can be the minimum value that affects normal operation, the maximum value that affects normal operation, or an interval range containing the minimum and maximum values. The measurement threshold shown above can have a certain error range. The specific measurement threshold can be determined according to the actual working status of the electromechanical equipment, and there is no restriction on this.

[0038] For example, a motor operates at 4200 revolutions per minute when operating normally. When the motor runs at more than 4250 revolutions per minute or less than 4150 revolutions per minute, it can be concluded that the motor is operating abnormally. The measurement thresholds are 4250 revolutions per minute and 4150 revolutions per minute.

[0039] For example, taking the observation items as the state quantity, analog quantity, video signal, and various measuring points of the online monitoring device of the electromechanical equipment in the hydropower plant, the measurement threshold can refer to the critical value corresponding to the state quantity, analog quantity, video signal, and various measuring points of the online monitoring device, respectively, without any restriction.

[0040] S104: Determine whether a fault event occurs in the observation item based on the actual measurement value and the measurement threshold.

[0041] After determining the measurement threshold corresponding to the observation item based on multiple reference values, the actual measurement value can be compared with the measurement threshold. When the actual measurement value exceeds this critical value, it indicates that the observation item has a higher probability of failure. When the actual measurement value does not exceed the critical value, it indicates that the observation item has not failed, and there is no restriction on this.

[0042] For example, regarding the temperature of the main transformer winding of the motor, the operating experience of the main transformer of a hydropower plant shows that the upper oil temperature of the main transformer is normally about 5°C lower than the main transformer winding temperature. Therefore, the upper oil temperature of the main transformer + 5°C + error value can be used as a threshold. When the main transformer winding temperature is greater than the oil temperature + 5°C + error value, it can indicate that the main transformer winding has a fault.

[0043] In this embodiment, the observation item is detected to obtain the actual measurement value corresponding to the observation item, and multiple reference items corresponding to the observation item are determined, multiple reference values ​​corresponding to the multiple reference items are determined, and the measurement threshold corresponding to the observation item is determined based on the multiple reference values; based on the actual measurement value and the measurement threshold, it is determined whether a fault event occurs in the observation item, and it is possible to monitor the state quantity, analog quantity, video signal and other observation items of the electromechanical equipment of the hydropower plant, perform logical association configuration on different observation items, automatically analyze the state of the observation item, and improve the fault detection effect on the electromechanical equipment.

[0044] Figure 2 It is a flowchart of a fault detection method proposed in another embodiment of the present disclosure.

[0045] like Figure 2 As shown, the fault detection method includes:

[0046] S201: Detecting the observation item to obtain the actual measurement value corresponding to the observation item.

[0047] For detailed description of S201, please refer to the above embodiment, which will not be repeated here.

[0048] S202: Determine multiple reference items associated with the observation item, wherein the observation item and the reference item belong to the same or different electromechanical equipment, and the multiple reference items belong to the same or different electromechanical equipment respectively.

[0049] A reference item can affect one or more observation items. At the same time, an observation item can also be affected by multiple reference items. Multiple observation items and multiple reference items can come from the same electromechanical equipment or from different electromechanical equipment. If a reference item and an observation item have the aforementioned mutual influence phenomenon, it can be said that there is a correlation relationship between the reference item and the observation item.

[0050] S203: Determine a plurality of reference values ​​corresponding to the plurality of reference items according to a preset relationship, wherein the preset relationship includes: a plurality of reference items and a plurality of reference values ​​corresponding to the plurality of reference items.

[0051] For example, the motor temperature is an observation item, and the reference items that affect the motor temperature can be the outdoor temperature, the voltage or current of the motor. Accordingly, the actual measured value corresponding to the motor temperature is the actual measurement value, and the outdoor temperature, the voltage or current of the motor can be called reference items. The calibration values ​​corresponding to the outdoor temperature and the voltage or current of the motor (that is, the values ​​corresponding to the outdoor temperature, the voltage or current of the motor during normal operation of the motor) can be called reference values.

[0052] The calibration values ​​corresponding to the outdoor temperature, motor voltage or current can be pre-written into the preset relationship, so that the preset relationship includes: multiple reference items, and multiple reference values ​​corresponding to the multiple reference items, thereby supporting the direct determination of multiple reference values ​​corresponding to the multiple reference items based on the preset relationship.

[0053] Each reference item may correspond to one or several reference values. Each observation item may correspond to multiple reference items, and each reference item may correspond to multiple reference values. Therefore, one or more reference items may be determined for each observation item, and one or more reference values ​​may correspond to each reference item, without limitation.

[0054] For example, the vibration frequency of the motor in the inspection scenario of a hydropower plant can be used as an observation item. Factors affecting the vibration frequency may include damage to the stator core, vibration of the machine base, and vibration of the stator winding caused by excessive electromagnetic force. Therefore, the measuring points on the core, the vibration amplitude of the machine base, the electromagnetic force of the machine base, the vibration frequency of the stator winding, etc. can all be called reference items. Correspondingly, the vibration frequency of the stator winding can be divided into the vibration frequency of the slot and the vibration frequency of the top, that is, one reference item corresponds to one or more reference values.

[0055] S204: Determine a measurement threshold corresponding to the observation item based on multiple reference values.

[0056] S205: Determine whether a fault event occurs in the observation item according to the actual measurement value and the measurement threshold.

[0057] The description of S204-S205 can be found in the above embodiment and will not be repeated here.

[0058] In this embodiment, by detecting observation items to obtain actual measurement values ​​corresponding to the observation items, multiple reference items associated with the observation items are determined, wherein the observation items and the reference items belong to the same or different electromechanical equipment, and the multiple reference items belong to the same or different electromechanical equipment respectively. Multiple reference values ​​corresponding to the multiple reference items are determined according to preset relationships, wherein the preset relationships include: multiple reference items, and multiple reference values ​​corresponding to the multiple reference items. This enables monitoring of observation items such as state quantities, analog quantities, and video signals of electromechanical equipment in a hydropower plant, logically associates and configures different observation items, automatically analyzes the state of the observation items, and improves the fault detection effect for electromechanical equipment. Furthermore, it is possible to quickly and accurately determine the multiple reference values ​​corresponding to the multiple reference items, significantly helping to improve the efficiency and effect of fault detection.

[0059] Figure 3 It is a flowchart of a fault detection method proposed in another embodiment of the present disclosure.

[0060] like Figure 3 As shown, the fault detection method includes:

[0061] S301: Acquire multiple measurement items corresponding to multiple electromechanical devices.

[0062] The measurement items may be status signals, analog signals, audio and video signals to be detected, for example, for a stably operating unit, demagnetization switch action signals and generator output switch action signals.

[0063] Among them, status signals, analog signals, audio and video signals, etc. corresponding to each electromechanical device and which can be used for fault detection can all be referred to as measurement items in the embodiment of the present disclosure. In the embodiment of the present disclosure, multiple measurement items corresponding to multiple electromechanical devices are obtained, and then the correlation relationship between different measurement items can be analyzed based on the actual operation correlation logical relationship of the multiple electromechanical devices during operation. Different measurement items can belong to the same electromechanical device or to different electromechanical devices, and there is no restriction on this.

[0064] S302: Determine multiple association relationships corresponding to multiple measurement items, where the association relationship indicates the association relationship between the corresponding measurement item and other measurement items when the multiple electromechanical devices are in operation. The observation item belongs to the multiple measurement items, and the reference item is a measurement item that has an association relationship with the observation item.

[0065] That is to say, the embodiment of the present disclosure can support the pre-configuration of the association relationship between observation items and reference items before actual inspection fault detection. The above-mentioned observation items belong to multiple measurement items, and the reference items are measurement items that have an association relationship with the observation items. The association relationship can include the identifiers of multiple measurement items, as well as the measurement items that have an association relationship.

[0066] For example, for a stably operating unit, the demagnetization switch action signal and the generator output switch action signal should be consistent. Therefore, the association relationship between the demagnetization switch action signal and the generator output switch action signal can be configured in advance, and the calibration value corresponding to the generator output switch action signal can be set as a reference value. The reference value corresponding to the generator output switch action signal can be used to subsequently assist in determining the measurement threshold corresponding to the demagnetization switch action signal, thereby supporting when the actual measurement value is obtained from the demagnetization switch action signal detection, the actual measurement value can be compared with the measurement threshold to determine whether there is a fault event in the demagnetization switch action signal.

[0067] S303: Determine a plurality of value difference information corresponding to the plurality of reference values, where the value difference information indicates the degree of influence of the corresponding reference value on the measurement threshold.

[0068] Among them, the value difference information is an influence quantity. When the reference value changes due to environmental or external factors, the value difference information can be used to derive the degree of influence on the measurement threshold. The value difference information corresponding to different reference values ​​may be different, and the degree of influence on the corresponding measurement threshold may also be different.

[0069] In the embodiment of the present disclosure, the multiple value difference information corresponding to the multiple reference values ​​is determined, which can be used for subsequent fitting to obtain accurate measurement thresholds corresponding to the observation items, thereby ensuring the analysis accuracy and analysis effect of the measurement thresholds corresponding to the observation items, so that when the pre-marked reference values ​​are used to determine the measurement thresholds corresponding to the measurement items with associated relationships, they can have a higher reference value and ensure the accuracy of fault inspection.

[0070] S304: Determine a measurement threshold corresponding to the observation item based on the plurality of value difference information combined with the error information.

[0071] Among them, the error information can be objective errors and small errors with relatively little impact on actual conditions, etc. In the embodiment of the present disclosure, it supports determining the measurement threshold corresponding to the observation item based on multiple value difference information combined with error information, that is, based on the degree of influence of the reference value on the measurement threshold, the error information is used as the corresponding reference adjustment information to assist in accurately determining the measurement threshold.

[0072] For example, consider the main transformer winding temperature. Operating experience at a hydropower plant indicates that the upper oil temperature is normally approximately 5°C lower than the winding temperature. Therefore, the main transformer winding temperature and the upper oil temperature are correlated. The upper oil temperature observation item is set as the standard value, and the main transformer winding temperature is configured as upper oil temperature + 5°C + error value. When the main transformer winding temperature falls outside the normal range, the observation item is considered abnormal. In this case, the upper oil temperature + 5°C represents the difference between the reference value and the value, while the error value represents the error. Similarly, when a motor is running, its voltage and current are related by the curve U = F(I). When the motor is stopped, the voltage is U0. Therefore, the motor operating status signal P and the current value I can be correlated. The voltage value is configured such that when P = 0, U = U0 + error value; when P = 1, U = F(I) + error value. For a stably operating unit, the unit has a damper start-up action signal. When the fan action + unit start-up signal + speed simulation signal is greater than 10%, the unit should operate normally. The corresponding measurement threshold can be configured to determine whether the observation item is abnormal.

[0073] In this embodiment, it is possible to monitor the state quantity, analog quantity, video signal and other observation items of the electromechanical equipment of the hydropower plant, configure logical associations for different observation items, automatically analyze the state of the observation items, and improve the fault detection effect for the electromechanical equipment. It is also possible to quickly and accurately determine multiple reference values ​​corresponding to multiple reference items, greatly helping to improve the fault detection efficiency and fault detection effect. By determining the multiple value difference information corresponding to the multiple reference values, it can be used for subsequent fitting to obtain accurate measurement thresholds corresponding to the observation items, thereby ensuring the analysis accuracy and analysis effect of the measurement thresholds corresponding to the observation items. When the pre-marked reference values ​​are used to determine the measurement thresholds corresponding to the measurement items with associated relationships, they can have a high reference value and ensure the accuracy of fault inspection. It also supports pre-configuring the association between observation items and reference items before the actual inspection fault detection, thereby ensuring the efficiency of determining the reference items during subsequent fault inspections.

[0074] Figure 4 Schematic diagram of the structure of a fault detection device proposed in one embodiment of the present disclosure.

[0075] like Figure 4 As shown, the fault detection device 40 includes:

[0076] A detection module 401 is used to detect the observation item to obtain the actual measurement value corresponding to the observation item;

[0077] A first determining module 402 is configured to determine multiple reference items corresponding to the observation item, and to determine multiple reference values ​​corresponding to the multiple reference items;

[0078] A second determination module 403 is configured to determine a measurement threshold corresponding to an observation item based on a plurality of reference values;

[0079] The third determining module 404 is configured to determine whether a fault event occurs in the observation item according to the actual measurement value and the measurement threshold.

[0080] In some embodiments of the present disclosure, a hydropower plant inspection scenario includes: multiple electromechanical equipment, and the first determination module 402 is specifically configured to:

[0081] A plurality of reference items associated with the observation item are determined, wherein the observation item and the reference item belong to the same or different electromechanical equipment, and the plurality of reference items belong to the same or different electromechanical equipment respectively.

[0082] In some embodiments of the present disclosure, the first determining module 402 is specifically configured to:

[0083] A plurality of reference values ​​respectively corresponding to the plurality of reference items are determined according to a preset relationship, wherein the preset relationship includes: a plurality of reference items, and a plurality of reference values ​​respectively corresponding to the plurality of reference items.

[0084] In some embodiments of the present disclosure, Figure 5 As shown, Figure 5 is a structural diagram of a fault detection device proposed in another embodiment of the present disclosure, further comprising:

[0085] an acquisition module 405, configured to acquire a plurality of measurement items corresponding to the plurality of electromechanical devices respectively before detecting the observation items to obtain actual measurement values ​​corresponding to the observation items;

[0086] The fourth determination module 406 is used to determine multiple association relationships corresponding to multiple measurement items, where the association relationship indicates the association relationship between the corresponding measurement item and other measurement items when multiple electromechanical equipment are in operation. The observation item belongs to multiple measurement items, and the reference item is a measurement item that has an association relationship with the observation item.

[0087] In some embodiments of the present disclosure, the second determining module 403 is specifically configured to:

[0088] determining a plurality of value difference information corresponding to the plurality of reference values, respectively, the value difference information indicating a degree of influence of the corresponding reference value on the measurement threshold;

[0089] The measurement threshold corresponding to the observation item is determined based on the multiple value difference information combined with the error information.

[0090] With the above Figures 1 to 3 Corresponding to the fault detection method provided in the embodiment, the present disclosure also provides a fault detection device. Figures 1 to 3 The fault detection method provided in the embodiment corresponds to the embodiment, so the implementation of the fault detection method is also applicable to the fault detection device provided in the embodiment of the present disclosure, and will not be described in detail in the embodiment of the present disclosure.

[0091] In this embodiment, the observation item is detected to obtain the actual measurement value corresponding to the observation item, and multiple reference items corresponding to the observation item are determined, multiple reference values ​​corresponding to the multiple reference items are determined, and the measurement threshold corresponding to the observation item is determined based on the multiple reference values; based on the actual measurement value and the measurement threshold, it is determined whether a fault event occurs in the observation item, and it is possible to monitor the state quantity, analog quantity, video signal and other observation items of the electromechanical equipment of the hydropower plant, perform logical association configuration on different observation items, automatically analyze the state of the observation item, and improve the fault detection effect on the electromechanical equipment.

[0092] In order to implement the above embodiments, the present disclosure further proposes a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the fault detection method proposed in the above embodiments of the present disclosure is implemented.

[0093] In order to implement the above embodiments, the present disclosure further proposes a non-transitory computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the fault detection method proposed in the above embodiments of the present disclosure is implemented.

[0094] In order to implement the above embodiments, the present disclosure further proposes a computer program product. When an instruction processor in the computer program product executes, the fault detection method proposed in the above embodiments of the present disclosure is executed.

[0095] Figure 6 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Figure 6 The computer device 12 shown is only an example and should not bring any limitation to the functionality and scope of use of the embodiments of the present disclosure.

[0096] like Figure 6 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0097] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of such architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnection (PCI) bus.

[0098] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0099] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 6 Not shown, often called a "hard drive").

[0100] although Figure 6 Although not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), a Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the various embodiments of the present disclosure.

[0101] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methods of the embodiments described herein.

[0102] The computer device 12 can also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). This communication can occur via an input / output (I / O) interface 22. Furthermore, the computer device 12 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via a bus 18. It should be understood that, although not shown, other hardware and / or software modules can be used in conjunction with the computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0103] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28 , such as implementing the fault detection method mentioned in the above embodiment.

[0104] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0105] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0106] It should be noted that, in the description of this disclosure, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of this disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0107] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0108] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0109] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0110] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0111] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0112] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0113] Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are illustrative and are not to be construed as limitations on the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A fault detection method, characterized in that: Applied to a hydropower plant inspection scenario, the hydropower plant inspection scenario includes: multiple electromechanical equipment, the method includes: Acquire a plurality of measurement items corresponding to the plurality of electromechanical devices respectively; Determining a plurality of association relationships corresponding to the plurality of measurement items, wherein the association relationships indicate association relationships between the corresponding measurement items and other measurement items when the plurality of electromechanical devices are respectively in operation, an observation item belongs to the plurality of measurement items, and a reference item is a measurement item having the association relationship with the observation item; detecting the observation item to obtain an actual measurement value corresponding to the observation item; determining a plurality of reference items associated with the observation item, wherein the observation item and the reference item belong to the same or different electromechanical devices, and the plurality of reference items respectively belong to the same or different electromechanical devices, and determining a plurality of reference values ​​corresponding to the plurality of reference items; determining a plurality of value difference information corresponding to the plurality of reference values, respectively, the value difference information indicating a degree of influence of the corresponding reference value on a measurement threshold; determining a measurement threshold corresponding to the observation item based on the plurality of value difference information in combination with error information; It is determined whether a fault event occurs in the observation item according to the actual measurement value and the measurement threshold.

2. The method according to claim 1, wherein The determining of the multiple reference values ​​corresponding to the multiple reference items respectively includes: A plurality of reference values ​​respectively corresponding to the plurality of reference items are determined according to a preset relationship, wherein the preset relationship includes: a plurality of reference items, and a plurality of reference values ​​respectively corresponding to the plurality of reference items.

3. A fault detection device, characterized in that: Applied to hydropower plant inspection scenarios, the hydropower plant inspection scenarios include: multiple electromechanical equipment, the device includes: an acquisition module, configured to acquire a plurality of measurement items corresponding to the plurality of electromechanical devices; a fourth determining module, configured to determine a plurality of association relationships corresponding to the plurality of measurement items, wherein the association relationships indicate association relationships between the corresponding measurement items and other measurement items when the plurality of electromechanical devices are respectively in operation, the observation item belongs to the plurality of measurement items, and the reference item is a measurement item having the association relationship with the observation item; a detection module, configured to detect the observation item to obtain an actual measurement value corresponding to the observation item; a first determining module, configured to determine a plurality of reference items associated with the observation item, wherein the observation item and the reference item belong to the same or different electromechanical devices, and the plurality of reference items respectively belong to the same or different electromechanical devices; a second determining module, configured to determine a plurality of value difference information corresponding to the plurality of reference values, wherein the value difference information indicates a degree of influence of the corresponding reference value on the measurement threshold; determining a measurement threshold corresponding to the observation item based on the plurality of value difference information in combination with error information; The third determining module is configured to determine whether a fault event occurs in the observation item according to the actual measurement value and the measurement threshold.

4. The device according to claim 3, wherein The first determining module is specifically configured to: A plurality of reference values ​​respectively corresponding to the plurality of reference items are determined according to a preset relationship, wherein the preset relationship includes: a plurality of reference items, and a plurality of reference values ​​respectively corresponding to the plurality of reference items.

5. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 2 is implemented. 6 . A storage medium, wherein when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method according to claim 1 .

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