A method, device, electronic device and storage medium for detecting loose components

Abstract

An embodiment of the present invention discloses a method, device, electronic device and storage medium for detecting loose components. The method includes: determining at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area; if it is determined that there is an impact feature in at least two vibration acquisition signals by analyzing the signal change trend of the vibration acquisition signals, determining the change in the impact peak time between different vibration acquisition signals; and judging the fault type of the loose components according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area. Through the technical solution of the embodiment of the present invention, the vibration signals of loose components are analyzed to reduce the probability of false alarms and improve the accuracy of judging the fault type of loose components.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of monitoring power components of power stations, and in particular to a loose component detection method, device, electronic equipment and storage medium. Background Art

[0002] Loose parts are a general term for fallen parts, loose parts and foreign objects. They refer to parts in the reactor that have become loose and fallen due to damage, corrosion and aging, as well as foreign objects introduced during maintenance such as refueling and overhaul. Loose parts may damage the core, steam generator and main coolant pump, and thus cause serious accidents.

[0003] Various noise signals and vibration signals will interfere with the loose parts monitoring system and cause false alarms. False alarms are one of the most important problems that plague loose parts monitoring. False alarms reduce the reliability of the monitoring system, increase the pressure on operators to respond to their alarms, and increase the workload of instrumentation and control and vibration personnel. Therefore, how to improve the accurate identification and diagnosis of loose parts alarm signals is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present invention provide a loose component detection method, device, electronic device and storage medium to reduce the probability of false alarm and improve the accuracy of judging the loose component fault type.

[0005] In a first aspect, an embodiment of the present invention provides a loose component detection method, comprising:

[0006] Determine at least two vibration acquisition signals obtained by monitoring the loose parts in the same monitoring area;

[0007] If it is determined that at least two vibration collection signals have impact features by performing signal change trend analysis on the vibration collection signals, then the impact peak time changes between different vibration collection signals are determined;

[0008] The fault type of the loose component is determined based on the change in the impact peak time between different vibration collection signals in the same monitoring area.

[0009] In a second aspect, an embodiment of the present invention further provides a loose component detection device, comprising:

[0010] A vibration collection signal determination module, used to determine at least two vibration collection signals obtained by monitoring loose components in the same monitoring area;

[0011] An impact peak time determination module, configured to determine the change in the impact peak time between different vibration acquisition signals if it is determined, through analyzing the signal change trend of the vibration acquisition signals, that there are impact characteristics in at least two vibration acquisition signals;

[0012] A fault type determination module, configured to determine the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area.

[0013] Thirdly, an embodiment of the present invention further provides an electronic device, which includes:

[0014] One or more processors;

[0015] A storage device, configured to store one or more programs;

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the loose component detection method according to any embodiment of the present invention.

[0017] Fourthly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the loose component detection method according to any embodiment of the present invention.

[0018] The embodiment of the present invention provides a loose component detection method, device, electronic device and storage medium. By determining at least two vibration acquisition signals obtained by monitoring a loose component in the same monitoring area; if it is determined, through analyzing the signal change trend of the vibration acquisition signals, that there are impact characteristics in at least two vibration acquisition signals, then determining the change in the impact peak time between different vibration acquisition signals; and determining the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area. Through the technical solution of the embodiment of the present invention, the vibration signal of the loose component is analyzed, the probability of false alarm is reduced, and the accuracy of judging the fault type of the loose component is improved. Description of the Drawings

[0019] Figure 1 is a flowchart of a loose component detection method provided by Embodiment 1 of the present invention;

[0020] Figure 2A is a flowchart of a loose component detection method provided by Embodiment 2 of the present invention;

[0021] Figure 2B is a schematic structural diagram of a loose component monitoring system provided by Embodiment 2 of the present invention;

[0022] Figure 2CA schematic diagram of the time-domain waveform of the vibration acquisition signal provided in the second embodiment of the present invention;

[0023] Figure 3 A schematic structural diagram of a loose component detection device provided in the third embodiment of the present invention;

[0024] Figure 4 A schematic structural diagram of an electronic device provided in the fourth embodiment of the present invention. Detailed implementation manners

[0025] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. In addition, it should be noted that for the convenience of description, only parts related to the present invention are shown in the drawings, rather than all the structures.

[0026] In order to improve the accuracy and effectiveness of loose component monitoring, the current main research direction is to denoise the signal and use more accurate analysis methods such as wavelet packets to process the signal. These signal processing technologies have actually been applied in the loose component monitoring system of nuclear power plants, which is helpful for improving the reliability of the loose component monitoring system. After processing the loose component signal and removing the noise and background vibration, the signal is closer to the true impact signal of the loose component. If the alarm threshold is threshold 1, it can be analyzed that the unprocessed signal will generate false alarms; while the processed signal will not generate alarms. However, if the alarm threshold is 2, both the unprocessed signal and the processed signal will trigger alarms. That is to say, the problem of false alarms cannot be completely solved by traditional methods.

[0027] As can be seen from the above, the problem of false alarms has not been fundamentally solved. Therefore, false alarm events of loose components still occur in multiple nuclear power plants. For the false alarm signals generated by the loose component monitoring system, the main method is to analyze the signals, combined with the actual operating conditions, and comprehensively consider the specific operations when the signals generate alarms, etc., to identify and judge the alarm signals. Such a process often has a long time lag, which is not conducive to the judgment of the safety of the unit. At the same time, if a real loose component generates an alarm signal, it will also delay the opportunity to protect nuclear-grade equipment such as pressure vessels, steam generators, and main pumps.

[0028] Therefore, the embodiments of the present invention provide a method for detecting loose components.

[0029] Embodiment 1

[0030] Figure 1The figure is a flowchart of a method for detecting loose components provided in the first embodiment of the present invention. This embodiment is applicable to the detection of loose components in a nuclear power unit. The method of this embodiment can be executed by a loose component detection device, which can be implemented in a hardware and / or software manner. The device can be configured in a server for loose component detection. The method specifically includes the following steps:

[0031] S110. Determine at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area.

[0032] The monitoring area may refer to the area where loose components are monitored. For example, the upper head and bottom head of the reactor vessel, the steam generator, and the reactor coolant pump in the loose component monitoring system are each a monitoring area, and loose components are monitored in each monitoring area of the loose component monitoring system.

[0033] The vibration acquisition signal may refer to the vibration signal emitted by the loose component obtained by a vibration sensor. For example, at least two vibration signals emitted by the loose component are obtained by at least two vibration sensors in the monitoring area.

[0034] S120. If it is determined that there is an impact feature in at least two vibration acquisition signals by analyzing the signal change trend of the vibration acquisition signals, determine the change in the impact peak time between different vibration acquisition signals.

[0035] Among them, the vibration acquisition signals are analyzed to obtain the time-domain waveform of each channel in the monitoring area, and according to the signal change trend of the time-domain waveform, it is determined that there is an impact feature in at least two vibration acquisition signals.

[0036] The determination of the impact feature may refer to the process in which the amplitude of the waveform in the time-domain waveform significantly increases and gradually decays after reaching the peak, then it is determined that there is an impact feature, and thus it is determined that there is a loose component.

[0037] The determination of the change in the impact peak time is determined according to the time when the peak appears in the time-domain waveform of each channel. For example, in the same monitoring area, when the component is loose, an impact will occur, and each vibration sensor receives the vibration acquisition signal emitted by the loose component. Through time-domain analysis, the time when the peak appears in the time-domain waveform of each channel is determined.

[0038] S130. Based on the change in the impact peak time between different vibration acquisition signals in the same monitoring area, determine the fault type of the loose component.

[0039] Among them, the fault type may refer to the type of fault that occurs in the loose component, including but not limited to loosening and falling off.

[0040] Statistically analyze the change trend of the impact peak time in the same monitoring area at different acquisition times. If the order of the impact peak times of the vibration acquisition signals in the same monitoring area is the same, it is determined that the loosening component failure in this monitoring area is loosening. If the order of the impact peak times of the vibration acquisition signals in the same monitoring area is different but there is a preset pattern, it is determined that the loosening component failure in this monitoring area is detachment.

[0041] Among them, the order of the impact peak times can refer to the order of the impact peak times of each vibration acquisition signal in the same monitoring area. For example, there are 3 vibration acquisition signals in the same monitoring area, and the impact peak times of the 3 vibration acquisition signals are 40.91ms, 39.76ms, and 32.98ms in sequence. If the order of the impact peak times of the vibration acquisition signals in this monitoring area is the same at different acquisition times, it is determined that the loosening component failure in this monitoring area is loosening.

[0042] For the 3 vibration acquisition signals existing in the same monitoring area, if the order of the impact peak times of the 3 vibration acquisition signals is different but there is a preset pattern, it is determined that the loosening component failure in this monitoring area is detachment. The preset pattern means that, for example, when the vibration signal is collected for the first time, the impact peak times of the 3 vibration acquisition signals are 40.91ms, 39.76ms, and 32.98ms in sequence; when the vibration signal is collected for the second time, the impact peak times of the 3 vibration acquisition signals are 39.76ms, 40.91ms, and 32.98ms in sequence; when the vibration signal is collected for the third time, the impact peak times of the 3 vibration acquisition signals are 39.76ms, 32.98ms, and 40.91ms in sequence; when the vibration signal is collected for the third time, the impact peak times of the 3 vibration acquisition signals are the same as the first time, and so on. If the order of the impact peak times of the vibration acquisition signals is different but there is a preset pattern, it is determined that the loosening component failure in this monitoring area is detachment.

[0043] The embodiment of the present invention provides a method for detecting loosening components. By determining at least two vibration acquisition signals obtained by monitoring the loosening components in the same monitoring area; if it is determined that there is an impact feature in at least two vibration acquisition signals through signal change trend analysis of the vibration acquisition signals, determine the change of the impact peak time between different vibration acquisition signals; based on the change of the impact peak time between different vibration acquisition signals in the same monitoring area, judge the failure type of the loosening component. By analyzing the vibration acquisition signals of the loosening components, determine whether there is an impact feature, determine the impact peak time transformation for the vibration acquisition signals with impact features, and determine whether the loosening component is detached or loosened, so as to reduce the probability of false alarms and improve the accuracy of judging the failure type of the loosening component.

[0044] Embodiment 2

[0045] Figure 2A This is a flowchart of a method for detecting loose components provided in the second embodiment of the present invention. The embodiments of the present invention further optimize the foregoing embodiments on the basis of the above embodiments, and the embodiments of the present invention can be combined with various alternative solutions in one or more of the above embodiments. As Figure 2A shown, the method for detecting loose components provided in the embodiments of the present invention may include the following steps:

[0046] S210. Obtain at least two vibration acquisition signals collected by the loose component monitoring system DMIMS in the same monitoring area.

[0047] Among them, the loose component monitoring system DMIMS includes a reactor vessel, a steam generator, and a reactor coolant pump. DMIMS includes 16 vibration sensors, including 3 vibration sensors on the upper head and the bottom head of the reactor vessel, 3 vibration sensors on each steam generator, and 1 vibration sensor on each reactor coolant pump. Figure 2B This is a schematic structural diagram of a loose component monitoring system provided in the second embodiment of the present invention. As Figure 2B shown, among the 16 vibration sensors, three acceleration vibration sensors YE001, YE002, and YE003 are all installed in the upper head area of the pressure vessel RV, which is the same monitoring area; similarly, YE004, YE005, and YE006 are the same monitoring area; YE011, YE012, and YE013 are the same monitoring area; YE014, YE015, and YE016 are the same monitoring area. At least two vibration sensors are configured in the same monitoring area.

[0048] The loose component emits a vibration signal, and the loose component monitoring system DMIMS collects at least two vibration acquisition signals in the same monitoring area.

[0049] S220. Perform time-domain analysis on the at least two vibration acquisition signals to obtain at least two vibration acquisition signals represented by time-domain waveforms.

[0050] Among them, computer software performs time-domain analysis on the at least two vibration acquisition signals obtained by the at least two vibration sensors to obtain the time-domain waveforms of each channel. The computer software includes but is not limited to matlab, OpenCV, and neural networks, etc.

[0051] S230. Analyze the signal change trend of the vibration acquisition signal to determine that there is an impact feature in at least two vibration acquisition signals.

[0052] Among them, perform time-domain analysis on the vibration acquisition signal to obtain a time-domain waveform. Figure 2C This is a schematic diagram of the time-domain waveform of a vibration acquisition signal provided in the second embodiment of the present invention; asFigure 2C As shown, if there is an obvious increase in amplitude in the time-domain waveform and a decay process occurs after reaching the peak value, it is preliminarily judged that there is an impact feature in the vibration acquisition signal; if there is no obvious increase in amplitude in the time-domain waveform, it is preliminarily judged that there is no impact feature in the vibration acquisition signal.

[0053] Optionally, perform waveform amplitude change analysis on the time-domain waveforms corresponding to the at least two vibration acquisition signals;

[0054] If it is determined that there is a waveform change process in the time-domain waveform where the waveform amplitude trend increases and the waveform amplitude trend decays after reaching the peak value, it is determined that there is an impact feature in the at least two vibration acquisition signals.

[0055] According to the time-domain waveform of the vibration acquisition signal, it is determined whether there is an impact feature in the vibration acquisition signal, and the authenticity of the impact signal is further judged, improving the reliability of the alarm for loose components.

[0056] S240. Determine the change in impact peak time between different vibration acquisition signals.

[0057] Among them, the loose component impact event is determined according to the peak value of the time-domain waveform of each vibration acquisition signal. For example, by performing time-domain waveform analysis on each vibration acquisition signal in the same monitoring area, the relative impact peak times of the vibration acquisition signals of YE011, YE012, and YE013 in the same monitoring area are 40.91 ms, 39.76 ms, and 32.98 ms respectively, then the loose component impacts YE013, YE012, and YE011 successively.

[0058] Optionally, determine the impact peak time of each vibration acquisition signal in the at least two vibration acquisition signals;

[0059] Based on the impact peak times of each vibration acquisition signal, determine the relative impact peak change trend between different vibration acquisition signals in the same monitoring area.

[0060] According to the impact peak time of the vibration acquisition signal, determine the relative impact peak change trend between loose components. Determine the relative impact peak change trend between different vibration acquisition signals in the same monitoring area at different acquisition times, so as to judge the impact time sequence of the loose components.

[0061] S250. Judge the fault type of the loose component based on the change in impact peak time between different vibration acquisition signals in the same monitoring area.

[0062] Optionally, count the change trend of the impact peak time in the same monitoring area at different acquisition times to obtain the statistical result of the change in impact peak time in the same monitoring area;

[0063] If the statistical result shows that the time sequence of the impact peaks in the vibration acquisition signals in the same monitoring area is the same, it is determined that the looseness fault of the loose parts in this monitoring area is looseness;

[0064] If the statistical result shows that the time sequence of the impact peaks in the vibration acquisition signals in the same monitoring area is different but there is a preset rule, it is determined that the looseness fault of the loose parts in this monitoring area is detachment.

[0065] An embodiment of the present invention discloses a method for detecting loose parts. In the same monitoring area, at least two vibration acquisition signals collected by the loose part monitoring system DMIMS are used; time-domain analysis is performed on the at least two vibration acquisition signals to obtain at least two vibration acquisition signals represented by time-domain waveforms; according to the time-domain waveforms of the vibration acquisition signals, it is determined whether there is an impact feature in the vibration acquisition signals, and further the authenticity of the impact signal is judged, improving the reliability of the alarm for loose parts; the impact peak time of each vibration acquisition signal in the at least two vibration acquisition signals is determined; according to the impact peak time of each vibration acquisition signal, the relative impact peak change trend between different vibration acquisition signals in the same monitoring area is determined; according to the change of the impact peak time between different vibration acquisition signals in the same monitoring area, it is judged whether the fault type of the loose part is looseness or detachment. The technical solution of the embodiment of the present invention reduces the probability of false alarms for loose parts by judging the impact feature; determines the impact peak time of the loose parts through the analysis of the time-domain waveform by computer software, and judges whether the fault type of the loose parts is looseness or detachment according to the change of the impact peak time between different vibration acquisition signals in the same monitoring area, which is not affected by the level of technicians and improves the accuracy of judging the fault type of loose parts.

[0066] Embodiment III

[0067] Figure 3 It is a schematic structural diagram of a loose part detection device provided by Embodiment III of the present invention. The device includes: a vibration acquisition signal determination module 310, an impact peak time determination module 320, and a fault type determination module 330. Among them:

[0068] The vibration acquisition signal determination module 310 is used to determine at least two vibration acquisition signals obtained by monitoring the loose parts in the same monitoring area;

[0069] The impact peak time determination module 320 is used to determine the change of the impact peak time between different vibration acquisition signals if it is determined that there is an impact feature in the at least two vibration acquisition signals by analyzing the signal change trend of the vibration acquisition signals;

[0070] A fault type determination module 330, configured to determine the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area.

[0071] Based on the above embodiments, optionally, the vibration acquisition signal determination module 310 includes:

[0072] A vibration acquisition signal obtaining unit, configured to obtain at least two vibration acquisition signals collected by the loose component monitoring system DMIMS in the same monitoring area; at least two vibration sensors are configured in the same monitoring area;

[0073] A time-domain waveform vibration acquisition signal obtaining unit, configured to perform time-domain analysis on the at least two vibration acquisition signals to obtain at least two vibration acquisition signals represented by time-domain waveforms.

[0074] Based on the above embodiments, optionally, the impact peak time determination module 320 includes:

[0075] Perform waveform amplitude change analysis on the time-domain waveforms corresponding to the at least two vibration acquisition signals;

[0076] If it is determined that there is a waveform change process in which the waveform amplitude trend increases and then decays after reaching the peak in the time-domain waveform, it is determined that there is an impact feature in at least two vibration acquisition signals.

[0077] Based on the above embodiments, optionally, the impact peak time determination module 320 includes:

[0078] Determine the impact peak time of each vibration acquisition signal in at least two vibration acquisition signals;

[0079] According to the impact peak time of each vibration acquisition signal, determine the relative impact peak change trend between different vibration acquisition signals in the same monitoring area.

[0080] Based on the above embodiments, optionally, the fault type determination module 330 includes:

[0081] Statistically analyze the change trend of the impact peak time in the same monitoring area at different acquisition times to obtain the statistical result of the impact peak time change in the same monitoring area;

[0082] If the statistical result shows that the impact peak time order of the vibration acquisition signals in the same monitoring area is the same, it is determined that the fault of the loose component in this monitoring area is looseness;

[0083] If the statistical result shows that the impact peak time order of the vibration acquisition signals in the same monitoring area is different but there is a preset rule, it is determined that the fault of the loose component in this monitoring area is detachment.

[0084] Based on the above embodiments, optionally, the loose component monitoring system includes a reactor vessel, a steam generator, and a reactor coolant pump;

[0085] Among them, the upper head and bottom head of the reactor vessel, the steam generator, and the reactor coolant pump are respectively a monitoring area.

[0086] The above device can execute the loose component detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the loose component detection method.

[0087] Embodiment 4

[0088] Figure 4 It is a schematic structural diagram of an electronic device provided in Embodiment 4 of the present invention. An embodiment of the present application provides an electronic device, and an interactive device for detecting loose components provided in the embodiment of the present application can be integrated in the electronic device. As Figure 4 shown, this embodiment provides an electronic device 400, which includes: one or more processors 420; a storage device 410 for storing one or more programs, and when the one or more programs are executed by the one or more processors 420, the one or more processors 420 implement the loose component detection method provided in the embodiment of the present application, and the method includes:

[0089] Determine at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area;

[0090] If it is determined that there is an impact feature in at least two vibration acquisition signals by analyzing the signal change trend of the vibration acquisition signals, determine the change in the impact peak time between different vibration acquisition signals;

[0091] Based on the change in the impact peak time between different vibration acquisition signals in the same monitoring area, determine the fault type of the loose component.

[0092] Of course, those skilled in the art can understand that the processor 420 also implements the technical solution of the loose component detection method provided in any embodiment of the present application.

[0093] Figure 4 The shown electronic device 400 is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0094] As Figure 4 shown, the electronic device 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of processors 420 in the electronic device can be one or more, Figure 4Take a processor 420 as an example; the processor 420, storage device 410, input device 430, and output device 440 in the electronic device can be connected through a bus or other means. Figure 4 Take the connection through the bus 450 as an example.

[0095] As a computer-readable storage medium, the storage device 410 can be used to store software programs, computer-executable programs, and module units, such as the program instructions corresponding to the loose component detection method in the embodiments of the present application.

[0096] The storage device 410 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the terminal, etc. In addition, the storage device 410 can include a high-speed random access memory and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the storage device 410 can further include a memory remotely set relative to the processor 420, and these remote memories can be connected through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and their combinations.

[0097] The input device 430 can be used to receive input digital, character information, or voice information, and generate key signal inputs related to the user settings and function control of the electronic device. The output device 440 can include electronic devices such as a display screen and a speaker.

[0098] The electronic device provided by the embodiments of the present application can achieve the technical effects of reducing the probability of false alarms and improving the accuracy of judging the failure types of loose components.

[0099] Embodiment Five

[0100] Embodiment Five of the present invention further provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a loose component detection method when executed by a computer processor. The method includes:

[0101] Determine at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area;

[0102] If it is determined that there is an impact feature in at least two vibration acquisition signals by analyzing the signal change trend of the vibration acquisition signals, determine the change in the impact peak time between different vibration acquisition signals;

[0103] Judge the failure type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area.

[0104] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable media may be computer-readable signal media or computer-readable storage media. The computer-readable storage media may be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fibers, portable CD-ROMs, optical storage devices, magnetic storage devices, or any suitable combination of the above. The computer-readable storage media may be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, device, or component.

[0105] The computer-readable signal media may include data signals propagated in a baseband or as part of a carrier wave, which carry computer-readable program codes. Such propagated data signals may take various forms, including but not limited to: electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal media may also be any computer-readable media other than the computer-readable storage media, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or component.

[0106] The program codes contained on the computer-readable media may be transmitted by any appropriate media, including but not limited to: wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the above.

[0107] Computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0108] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0109] Note that the above is only the preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments. Without departing from the concept of the present invention, more other equivalent embodiments may be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for detecting loose components, characterized in that, the method includes: Determining at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area; If it is determined that there is an impact feature in at least two vibration acquisition signals through signal change trend analysis of the vibration acquisition signals, then determine the change in the impact peak time between different vibration acquisition signals; Judging the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area; Judging the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area, including: Statistical change trend of the impact peak time at different acquisition times in the same monitoring area to obtain the statistical result of the impact peak time change in the same monitoring area; If the statistical result shows that the order of the impact peak times of the vibration acquisition signals in the same monitoring area is the same, then judge that the fault of the loose component in this monitoring area is looseness; If the statistical result shows that the order of the impact peak times of the vibration acquisition signals in the same monitoring area is different but there is a preset rule, then judge that the fault of the loose component in this monitoring area is detachment.

2. The method according to claim 1, characterized in that, Determining at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area, including: Obtaining at least two vibration acquisition signals collected by the loose component monitoring system DMIMS in the same monitoring area; at least two vibration sensors are configured in the same monitoring area; Performing time-domain analysis on the at least two vibration acquisition signals to obtain at least two vibration acquisition signals represented by time-domain waveforms.

3. The method according to claim 1, characterized in that, Performing signal change trend analysis on the vibration acquisition signals to determine that there is an impact feature in at least two vibration acquisition signals, including: Performing waveform amplitude change analysis on the time-domain waveforms corresponding to the at least two vibration acquisition signals; If it is determined that there is a waveform change process in the time-domain waveform where the waveform amplitude trend increases and then decays after reaching the peak, then it is determined that there is an impact feature in at least two vibration acquisition signals.

4. The method according to claim 1, characterized in that, Determining the change in the impact peak time between different vibration acquisition signals, including: Determining the impact peak time of each vibration acquisition signal in at least two vibration acquisition signals; Determining the relative impact peak change trend between different vibration acquisition signals in the same monitoring area according to the impact peak time of each vibration acquisition signal.

5. The method according to claim 2, characterized in that, The loose component monitoring system includes a reactor vessel, a steam generator, and a reactor coolant pump; Among them, the upper head and bottom head of the reactor vessel, the steam generator, and the reactor coolant pump are respectively a monitoring area.

6. A loose component detection device, characterized in that, the device includes: A vibration acquisition signal determination module for determining at least two vibration acquisition signals obtained by monitoring loose components in the same monitoring area; An impact peak time determination module, configured to determine the change in the impact peak time between different vibration acquisition signals if it is determined, through analyzing the signal change trend of the vibration acquisition signals, that there is an impact feature in at least two vibration acquisition signals; A fault type determination module, configured to determine the fault type of the loose component according to the change in the impact peak time between different vibration acquisition signals in the same monitoring area; The fault type determination module is specifically configured to: count the change trend of the impact peak time in the same monitoring area at different acquisition times to obtain the statistical result of the change in the impact peak time in the same monitoring area; if the statistical result shows that the order of the impact peak times of the vibration acquisition signals in the same monitoring area is the same, it is determined that the fault of the loose component in this monitoring area is looseness; if the statistical result shows that the order of the impact peak times of the vibration acquisition signals in the same monitoring area is different but there is a preset rule, it is determined that the fault of the loose component in this monitoring area is detachment.

7. The device according to claim 6, wherein, the vibration acquisition signal determination module includes: a vibration acquisition signal obtaining unit, configured to obtain at least two vibration acquisition signals collected by the loose component monitoring system DMIMS in the same monitoring area; at least two vibration sensors are configured in the same monitoring area; a time-domain waveform vibration acquisition signal obtaining unit, configured to perform time-domain analysis on the at least two vibration acquisition signals to obtain at least two vibration acquisition signals represented by time-domain waveforms.

8. A computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, when the processor executes the program, it implements the loose component detection method according to any one of claims 1-5.

9. A storage medium containing computer-executable instructions, wherein, the computer-executable instructions are used to execute the loose component detection method according to any one of claims 1-5 when executed by a computer processor.

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