CN114439405B - Method, device, equipment and medium for monitoring faults of blowout preventer control device - Google Patents
Method, device, equipment and medium for monitoring faults of blowout preventer control device Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 43
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- 238000012423 maintenance Methods 0.000 claims description 41
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B33/00—Sealing or packing boreholes or wells
- E21B33/02—Surface sealing or packing
- E21B33/03—Well heads; Setting-up thereof
- E21B33/06—Blow-out preventers, i.e. apparatus closing around a drill pipe, e.g. annular blow-out preventers
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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Abstract
The application relates to the field of computer technology, in particular to a fault monitoring method, device, equipment and medium for a blowout preventer control device, wherein the method comprises the steps of acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device; judging whether leakage occurs to the blowout preventer control device or not based on the sound data collected by the sound collecting equipment; if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises position information and leakage amount information; if no leakage occurs in the blowout preventer control unit, failure prediction is performed on the blowout preventer control unit. The application can facilitate fault monitoring of the blowout preventer control unit.
Description
Technical Field
The application relates to the field of computer technology, in particular to a fault monitoring method, device, equipment and medium for a blowout preventer control device.
Background
During operations such as oil field oil testing, well repair and well completion, emergency situations such as kick or blowout may occur. The blowout preventer and the blowout preventer control device for controlling the blowout preventer are installed on a wellhead, and the blowout preventer control device can rapidly plug the wellhead to prevent blowout, so that the blowout preventer control device has important significance for smooth operation of an oil field and safety of field workers. However, during the operation of the blowout preventer control unit, oil leakage of the oil cylinder may be caused due to aging of a sealing member in the blowout preventer control unit.
In the related art, an oil leakage sensor is installed in a blowout preventer control apparatus to monitor a blowout preventer control apparatus failure condition. In general, an oil leakage sensor adopts an infrared photoelectric principle, and when a blowout preventer control device sends leakage and leaked liquid contacts the surface of the oil leakage sensor, probe light rays of the oil leakage sensor are refracted to respond. However, the oil leakage sensor is easily affected by external environmental factors such as temperature, so that the fault of the blowout preventer control device is not easy to monitor.
Disclosure of Invention
In order to facilitate fault monitoring of a blowout preventer control device, the application provides a blowout preventer control device fault monitoring method, device, equipment and medium.
In a first aspect, the application provides a fault monitoring method for a blowout preventer control device, which adopts the following technical scheme:
a blowout preventer control apparatus fault monitoring method, comprising:
acquiring sound data acquired by sound acquisition equipment installed in a blowout preventer control device;
judging whether leakage occurs to the blowout preventer control device or not based on the sound data collected by the sound collecting equipment;
if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises position information and leakage amount information;
If no leakage occurs in the blowout preventer control unit, failure prediction is performed on the blowout preventer control unit.
Through adopting above-mentioned technical scheme, can acquire the sound data that sound acquisition equipment gathered to carry out the analysis to sound data, whether leak in order to judge blowout preventer controlling means takes place, from this the installation oil leak sensor has been saved, look over the step of oil leak sensor, when blowout preventer controlling means breaks down, confirm information such as blowout preventer controlling means's leakage position and leakage volume, in order to inform the staff to carry out operations such as maintenance, when blowout preventer controlling means does not break down, then carry out the trouble prediction to blowout preventer controlling means, with reduce blowout preventer controlling means and break down and bring economic loss's possibility, thereby be convenient for carry out fault monitoring to blowout preventer controlling means.
In another possible implementation manner, the determining, based on the sound data collected by the sound collecting device, whether the blowout preventer control apparatus leaks includes:
Carrying out framing processing on sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the intensity value of the separated voice signals, wherein the separated voice signals are voice signals of a blowout preventer control device;
And judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal.
Through adopting above-mentioned technical scheme, can convert sound data into speech signal to separate speech signal, obtain blowout preventer controlling means's speech signal, with the influence of environmental sound such as reduction human voice and equipment operation sound to speech signal analysis, confirm the intensity value of speech signal after the separation again, according to intensity value, so that judge whether blowout preventer controlling means takes place to reveal.
In another possible implementation manner, the framing processing is performed on the sound data collected by the sound collection device to obtain a voice signal, including:
sampling the sound data to obtain sampled sound data;
And determining a spectrogram of the sampled sound data to obtain a voice signal.
By adopting the technical scheme, the voice data can be sampled, and the spectrogram of the sampled voice data is determined, so that the voice data is converted into a digital voice signal, and the voice data can be analyzed and processed by the electronic equipment conveniently.
In another possible implementation manner, the determining the leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks includes:
acquiring phase information of a voice signal, and determining leakage position information of a blowout preventer control device based on the phase information of the voice signal;
and acquiring vibration signals acquired by a pressure sensor arranged in the blowout preventer control device, and determining the diameter of the leakage hole and the leakage quantity information based on the vibration signals.
Through adopting above-mentioned technical scheme, can acquire the phase information of speech signal to the phase information of speech signal carries out the analysis, can acquire the vibration signal that pressure sensor gathered, and carries out the analysis to vibration signal, can confirm the leakage hole diameter that takes place to reveal from this, with this calculation department leakage volume information.
In another possible implementation manner, if the blowout preventer control unit does not leak, performing fault prediction on the blowout preventer control unit includes:
Acquiring blowout preventer control device information and historical fault data;
A failure prediction model is generated based on the blowout preventer control unit information and the historical failure data.
And carrying out fault prediction on the blowout preventer control device based on the fault prevention prediction model.
By adopting the technical scheme, the information of the blowout preventer control device comprises the information such as the service life of the blowout preventer control device, the information of the blowout preventer control device and the past fault data can be counted, a fault prediction model is generated, and the fault of the blowout preventer control device can be predicted according to the current condition information by the fault prediction model, so that economic losses caused by emergency and the like are reduced.
In another possible implementation, the obtaining blowout preventer control unit information includes:
Acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and predicting the service time of the blowout preventer control device;
Acquiring a historical maintenance record of a blowout preventer control device;
and estimating service life information of the blowout preventer control device based on the service time of the blowout preventer control device and the past maintenance record.
By adopting the technical scheme, the service time of the blowout preventer control device can be estimated according to the delivery date, the warehouse-in date and the warehouse-out date of the blowout preventer control device, so that the new and old degree, the ageing degree and the abrasion degree of the blowout preventer control device can be estimated, and the service life information of the blowout preventer control device can be estimated according to the past maintenance records, namely, the more the maintenance times are, the shorter the service life is in general.
In another possible implementation manner, if the blowout preventer control apparatus leaks, determining leakage information of the blowout preventer control apparatus further includes:
Sending leakage information of the blowout preventer control unit to a worker;
Leakage amount information generated in the maintenance process is estimated.
Through adopting above-mentioned technical scheme, can take place blowout preventer controlling means to the staff and reveal information, remind the staff from this to reduce loss etc. that emergency caused, can estimate the volume of revealing in the maintenance process, in order to confirm the influence that the maintenance process caused blowout preventer controlling means work.
In a second aspect, the application provides a fault monitoring device for a blowout preventer control device, which adopts the following technical scheme:
a blowout preventer control apparatus fault monitoring apparatus, comprising:
The acquisition module is used for acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device;
The judging module is used for judging whether the blowout preventer control device leaks or not based on the sound data acquired by the sound acquisition equipment;
the determining module is used for determining leakage information of the blowout preventer control device if the blowout preventer control device leaks, wherein the leakage information comprises position information and leakage amount information;
and the fault prediction module is used for predicting the fault of the blowout preventer control device if the blowout preventer control device does not leak.
Through adopting above-mentioned technical scheme, the sound data that acquisition module can acquire sound acquisition equipment gathered to carry out the analysis to sound data, judge whether the blowout preventer controlling means has revealed, thereby saved the installation oil leak sensor, look over the step of oil leak sensor, when blowout preventer controlling means breaks down, confirm information such as position and the volume of leaking of blowout preventer controlling means in order to inform the staff to carry out operations such as maintenance, when blowout preventer controlling means did not break down, the trouble prediction module carries out trouble prediction to blowout preventer controlling means, with reduce blowout preventer controlling means and break down and bring economic loss's possibility, thereby be convenient for carry out fault monitoring to blowout preventer controlling means.
In another possible implementation manner, the judging module is specifically configured to, when judging whether the blowout preventer control apparatus leaks based on the sound data collected by the sound collecting device:
Carrying out framing processing on sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the intensity value of the separated voice signals, wherein the separated voice signals are voice signals of a blowout preventer control device;
And judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal.
In another possible implementation manner, the determining module is specifically configured to, when performing frame processing on the sound data collected by the sound collecting device to obtain a voice signal:
sampling the sound data to obtain sampled sound data;
And determining a spectrogram of the sampled sound data to obtain a voice signal.
In another possible implementation manner, the determining module is specifically configured to, when determining the leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks:
acquiring phase information of a voice signal, and determining leakage position information of a blowout preventer control device based on the phase information of the voice signal;
and acquiring vibration signals acquired by a pressure sensor arranged in the blowout preventer control device, and determining the diameter of the leakage hole and the leakage quantity information based on the vibration signals.
In another possible implementation manner, the fault prediction module is specifically configured to, when performing fault prediction on the blowout preventer control apparatus if the blowout preventer control apparatus does not leak:
Acquiring blowout preventer control device information and historical fault data;
A failure prediction model is generated based on the blowout preventer control unit information and the historical failure data.
And carrying out fault prediction on the blowout preventer control device based on the fault prevention prediction model.
In another possible implementation, the failure prediction module, when acquiring the information of the blowout preventer control unit, is specifically configured to:
Acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and predicting the service time of the blowout preventer control device;
Acquiring a historical maintenance record of a blowout preventer control device;
and estimating service life information of the blowout preventer control device based on the service time of the blowout preventer control device and the past maintenance record.
In another possible implementation, the apparatus further includes: the device comprises a sending module and a pre-estimating module, wherein,
The sending module is used for sending leakage information of the blowout preventer control device to a worker;
the estimating module is used for estimating leakage amount information generated in the maintenance process.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device, the electronic device comprising:
at least one processor;
A memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a blowout preventer control apparatus fault monitoring method according to any one of the possible implementations of the first aspect is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer-readable storage medium, comprising: a computer program capable of being loaded by a processor and executing a method of fault monitoring of a blowout preventer control apparatus as shown in any one of the possible implementations of the first aspect is stored.
In summary, the present application includes at least one of the following beneficial technical effects:
1. The method comprises the steps of acquiring sound data acquired by sound acquisition equipment, analyzing the sound data to judge whether the blowout preventer control device leaks, omitting a step of installing a leakage sensor and checking the leakage sensor, when the blowout preventer control device fails, determining the leakage position, leakage quantity and other information of the blowout preventer control device so as to be convenient for informing operators to carry out maintenance and other operations, and when the blowout preventer control device does not fail, carrying out failure prediction on the blowout preventer control device so as to reduce the possibility of economic loss caused by the failure of the blowout preventer control device, thereby being convenient for carrying out failure monitoring on the blowout preventer control device;
2. The voice data can be converted into voice signals, the voice signals are separated, the voice signals of the blowout preventer control device are obtained, the influence of environmental sounds such as human voice, equipment operation voice and the like on voice signal analysis is reduced, the intensity value of the separated voice signals is determined, and whether the blowout preventer control device leaks or not is judged according to the intensity value.
Drawings
FIG. 1 is a flow chart of a method for monitoring faults of a blowout preventer control unit according to an embodiment of the present application.
FIG. 2 is a schematic structural view of a fault monitoring device for a blowout preventer control unit according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in further detail below with reference to figures 1-3 of the drawings.
The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
The blowout preventer control device is a safety sealing wellhead device for effectively controlling a wellhead blowout preventer stack, a hydraulic throttle valve and a well control valve in the processes of oil testing, well repairing and well completion. In the petroleum drilling process, when emergency conditions such as kick, blowout and the like occur, the blowout preventer control device can rapidly plug the wellhead, and has important significance for ensuring smooth drilling operation and ensuring safety of field personnel.
The embodiment of the application provides a fault monitoring method for a blowout preventer control device, which can collect sound of the blowout preventer control device through sound collection equipment and analyze sound data to judge whether the blowout preventer control device leaks or not. And determining leakage information when leakage occurs, and predicting faults of the blowout preventer control device when leakage does not occur so as to remind workers.
In order to better implement the fault monitoring method of the blowout preventer control apparatus, the following description is made by way of specific embodiments with reference to the accompanying drawings.
The embodiment of the application provides a fault monitoring method of a blowout preventer control device, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server or a server cluster or a distributed system formed by a plurality of physical servers. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto, and the embodiment of the present application is not limited thereto.
Further, the embodiment of the application provides a method for monitoring the fault of the blowout preventer control unit, as shown in fig. 1, and an example is given to execute the method for monitoring the fault of the blowout preventer control unit, specifically as follows:
Step S101, acquiring sound data acquired by a sound acquisition device installed in a blowout preventer control apparatus.
For the embodiment of the application, sound collecting equipment is respectively installed at a plurality of positions of a blowout preventer control device in advance, and the sound collecting equipment comprises: a sound sensor, an audio collector, etc. The electronic device and the sound collection device may be connected through wireless Communication protocols such as WiFi, bluetooth, and NFC (NEAR FIELD Communication), so that the electronic device may acquire sound data collected by the sound collection device.
Step S102, judging whether leakage occurs in the blowout preventer control device or not based on the sound data collected by the sound collecting equipment.
For the embodiment of the application, the electronic equipment can analyze the sound data acquired by the sound acquisition equipment, and the pretreatment such as denoising treatment, echo cancellation treatment and the like is carried out on the sound data so as to reduce the influence of environmental sound on the sound data. Judging whether leakage occurs in the blowout preventer control device: the sound data can be converted into sound wave signals through Fourier transformation, the sound wave signals are analyzed to determine the amplitude corresponding to the sound wave signals, a normal amplitude range section is preset, and whether the current amplitude is in the normal amplitude range or not is judged.
In step S103, if the blowout preventer control apparatus leaks, the leakage information of the blowout preventer control apparatus is determined.
Wherein the leakage information includes location information and leakage amount information.
For the embodiment of the application, if the amplitude of the current sound wave signal exceeds the normal amplitude range, the blowout preventer control unit is determined to leak. Determining a leak location of a blowout preventer control unit: the position information may be determined by comparing the amplitude information of the respective sound collecting apparatuses, the amplitude of the sound wave signal being larger at a position closer to the leakage point, and the amplitude of the sound wave signal being smaller at a position farther from the leakage point. Determining the leakage amount of the blowout preventer control unit: the leakage amount can be determined by the magnitude of the amplitude of the acoustic wave signal, the larger the amplitude, the more the leakage amount.
In step S104, if no leakage occurs in the blowout preventer control unit, a failure prediction is performed for the blowout preventer control unit.
For the embodiment of the application, if the amplitude of the current sound wave signal does not exceed the normal amplitude range, the blowout preventer control unit is determined to be not leaked. Performing fault prediction on a blowout preventer control device: and extracting the characteristics of the sound data, and inputting the characteristics into a pre-trained neural network model to perform fault prediction. The historical failure information of the blowout preventer control unit and other blowout preventer control units can be acquired and input into the neural network model for training to predict the failure of the blowout preventer control unit.
Specifically, in the embodiment of the present application, the step S102 of determining whether the blowout preventer control apparatus leaks based on the sound data collected by the sound collecting apparatus may specifically include a step S1021 (not shown), a step S1022 (not shown), and a step S1023 (not shown), wherein,
Step S1021, carrying out framing processing on the sound data acquired by the sound acquisition equipment to obtain a voice signal.
For the embodiment of the application, the frame processing is carried out on the sound data collected by the sound collecting equipment: the sound data can be divided into frames by windowing and segmenting the sound data, and also can be divided into frames by MATLAB framing function, and the frame length is generally 10-30ms (milliseconds). Specifically, windowing processing is performed on sound data: overlapping segmentation can be performed through a Hamming window function, and weighting is performed through a movable window with limited length.
In step S1022, the voice signal is separated, and the strength value of the separated voice signal is determined.
Wherein the separated voice signal is a voice signal of a blowout preventer control unit.
For the embodiment of the application, the voice signals are separated: the electronic device may input the speech signal into a pre-trained network model. Specifically, the network model may be a neural network model, and training learning is performed on the neural network model: firstly, various sounds and types corresponding to the sounds are used as training sample sets, background sounds such as human voice, equipment operation sound and the like are included, sounds leaked by the blowout preventer control device are also included, then the training sample sets are input into the neural network model for training and learning, and the trained neural network model can distinguish the background sounds from the sounds leaked by the blowout preventer control device in various sounds. Determining the intensity value of the separated voice signal: the voice signal can be converted into an electrical signal to generate a waveform in which the larger the amplitude, the higher the intensity value.
Step S1023, judging whether leakage occurs in the blowout preventer control device based on the intensity value of the separated voice signal.
For the embodiment of the application, the strength critical value of the leakage of the blowout preventer control device is preset, and the magnitude relation between the strength value of the separated voice signal and the strength critical value of the leakage of the blowout preventer control device is judged. When the separated voice signal strength value is larger than the strength critical value of the leakage of the blowout preventer control device, determining that the blowout preventer control device leaks; otherwise, when the separated voice signal strength value is smaller than the strength critical value of the leakage of the blowout preventer control device, the blowout preventer control device is determined to not leak.
Specifically, in the embodiment of the present application, the step S1022 performs frame processing on the sound data acquired by the sound acquisition device to obtain a voice signal, which may specifically include the step S10221 (not shown in the figure) and the step S10222 (not shown in the figure), where,
Step S10221, sampling processing is performed on the sound data to obtain sampled sound data.
For the embodiment of the application, the sound data is sampled: the sampled sound data may be obtained by sampling the sound data by the nyquist sampling theorem. The sound data has energy waves, frequency values of certain points are extracted from the sound data, and the more sampling points are extracted, the higher the sampling rate is, the higher the sampling accuracy is, and the more accurate the sound data is sampled.
Determining a spectrogram corresponding to the voice signal: the sound data is decomposed into a direct current component and a plurality of sinusoidal signals through Fourier transformation, the frequency value of the sinusoidal components is taken as a horizontal axis, the amplitude of the sinusoidal components is taken as a vertical axis, and the amplitude of the sinusoidal signals is drawn on corresponding frequencies to form a spectrogram.
Step S10222, determining a spectrogram of the sampled sound data to obtain a voice signal.
For the embodiment of the application, the sampled sound data can be decomposed into a direct current component and a plurality of sinusoidal signals by carrying out Fourier transform processing on the sampled sound data, the frequency value of the sinusoidal component is taken as a horizontal axis, the amplitude of the sinusoidal component is taken as a vertical axis, and the amplitude of the sinusoidal signal is drawn on the corresponding frequency to form a spectrogram, so that the voice signal is obtained.
Specifically, in the embodiment of the present application, if the blowout preventer control unit leaks in step S103, the leakage information of the blowout preventer control unit is determined, which may specifically include step S1031 (not shown in the figure) and step S1032 (not shown in the figure), where,
Step S1031, acquiring phase information of the voice signal, and determining leakage position information of the blowout preventer control apparatus based on the phase information of the voice signal.
For the embodiment of the application, the electronic equipment can preset a window function, perform short-time Fourier transform processing on the voice signal to obtain a Fourier expression of the voice signal, determine phase information from the Fourier expression, and the phase information represents the arrival of the signal, so that the leakage position information is determined according to the propagation speed of the phase information of the voice signal.
Step S1032, obtaining vibration signals collected by a pressure sensor installed in the blowout preventer control unit, and determining the diameter of the leakage hole and leakage amount information based on the vibration signals.
For the embodiment of the application, multiple leakage conditions are stored in advance, the relation between the leakage holes and the leakage quantity is counted respectively, the electronic equipment analyzes the vibration signals, performs linear regression processing on multiple groups of leakage hole diameters, leakage quantity and pressure information, models, inputs the current vibration signals into the model to determine the leakage hole diameters, and determines the leakage quantity jointly based on the leakage hole diameters and the leakage time.
Specifically, in the embodiment of the present application, if the blowout preventer control unit does not leak in step S104, the blowout preventer control unit is subjected to fault prediction, which may specifically include step S1041 (not shown in the figure), step S1042 (not shown in the figure), and step S1043 (not shown in the figure), where,
Step S1041, obtaining historical fault data of the blowout preventer control unit, and generating a fault prediction model.
For the embodiment of the application, when the blowout preventer control unit sends a fault, the fault time, the fault reason and the maintenance degree are stored. Classifying the past fault data, classifying non-human factors such as machine aging, component abrasion and the like as a first fault type, classifying human factors such as misuse and the like as a second fault type, and generating a fault prediction model based on the data such as adjacent fault interval duration and the like.
Step S1042, obtaining blowout preventer control unit information.
For the embodiment of the application, the information of the blowout preventer control device comprises information of the model number, the delivery date and the like of the blowout preventer control device. When the blowout preventer control device is purchased, the blowout preventer control device is numbered in advance, and information of the blowout preventer control device is input into the electronic equipment, so that a worker can perform operations such as checking, recording and inquiring.
Step S1043, predicting a failure of the blowout preventer control unit based on the blowout preventer control unit information and the failure prediction model.
For the embodiment of the application, the electronic equipment predicts the service life information of the blowout preventer control device based on the information of the blowout preventer control device, and determines the fault prediction information corresponding to the current blowout preventer control device information in the prediction model of the blowout preventer control device based on the fault prediction model.
Specifically, in the embodiment of the present application, the step S1042 of acquiring the information of the blowout preventer control apparatus may specifically include a step S10421 (not shown in the figure), a step S10422 (not shown in the figure), and a step S10423 (not shown in the figure), where,
Step S10421, obtaining the delivery date and the delivery date of the blowout preventer control device, and estimating the service time of the blowout preventer control device.
With the embodiment of the application, when the blowout preventer control devices are put in storage, the delivery date of each blowout preventer control device can be recorded, and the electronic equipment stores the delivery date of each blowout preventer control device. Acquiring the date of entering and exiting the blowout preventer control unit: the scanner can be pre-installed in a factory, and the scanner can be used for scanning when the blowout preventer control device enters and exits, so that the service time of the blowout preventer control device can be estimated.
For example, when the delivery date of the blowout preventer control apparatus 1 is 2021, 12 th month 1, and the worker purchases the blowout preventer control apparatus 1 at 2022, 1 th month 1, that is, the date of entry is 2022, 1 th month 1, 20 th year 2022, and the record of delivery of the blowout preventer control apparatus 1 is detected, the blowout preventer control apparatus 1 starts to be used from 2022, 1 th month 20, and the present time is acquired, and the time period from 2022, 1 th month 20, to the present time is the use time period of the blowout preventer control apparatus 1.
Step S10422, obtaining a history of maintenance records of the blowout preventer control unit.
For the embodiment of the application, the electronic device records and stores the historical maintenance records of the blowout preventer control unit, and analyzes the historical maintenance records. During the operation of the blowout preventer control unit, oil leakage maintenance may be caused by the aging and abrasion of the sealing element in the blowout preventer control unit, and maintenance may also be caused by improper use of the blowout preventer control unit by staff, and the electronic equipment stores maintenance time, maintenance staff and maintenance reasons.
Step S10423, estimating service life information of the blowout preventer control device based on the service time of the blowout preventer control device and the past maintenance records.
For the embodiment of the application, the service life information of the blowout preventer control device can be estimated together through delivery date, warehouse-in date, warehouse-out date and past maintenance records. In general, the shorter the service time, the fewer the number of repairs, the longer the blowout preventer controls will be.
One possible implementation manner of the embodiment of the application, the method may further include: step S105 (not shown in the figure) and step S106 (not shown in the figure), wherein step S105 (not shown in the figure) and step S106 (not shown in the figure) may be performed after step S104, wherein,
Step S105, sending blowout preventer control unit leakage information to the worker.
For the embodiment of the application, the leakage information is sent to the staff: the account numbers of all the staff members can be obtained in advance, and the position information corresponding to each staff member can be obtained. For example, the worker 1 is responsible for the detection of the blowout preventer control unit, the worker 2 is responsible for the maintenance of the blowout preventer control unit, and the worker 3 is responsible for the statistics of the blowout preventer control unit. When leakage occurs in the blowout preventer control apparatus, leakage information occurs to the worker 2.
Step S106, estimating leakage amount information generated in the maintenance process.
For the embodiment of the application, the time for the staff to reach the maintenance site can be estimated based on the maintenance site and the staff work site by acquiring the maintenance site and the staff work site, the staff maintenance time is estimated based on the leakage information, and the leakage amount generated in the maintenance process is estimated based on the time for the staff to reach the maintenance site and the staff maintenance time.
Further, a collection device may be installed in advance at the leakage position to collect the amount of leaked oil.
The foregoing embodiments describe a method for monitoring a failure of a blowout preventer control apparatus by way of a method flow, and the following embodiments describe a device for monitoring a failure of a blowout preventer control apparatus from a virtual perspective, specifically the following embodiments are described below:
an embodiment of the present application provides a fault monitoring device for a blowout preventer control apparatus, as shown in fig. 2, where the fault monitoring device 20 for a blowout preventer control apparatus may specifically include:
An acquisition module 201 for acquiring sound data acquired by a sound acquisition device installed in the blowout preventer control apparatus;
A judging module 202, configured to judge whether leakage occurs in the blowout preventer control apparatus based on the sound data collected by the sound collecting device;
a determining module 203, configured to determine leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks, where the leakage information includes location information and leakage amount information;
the failure prediction module 204 is configured to predict a failure of the blowout preventer control unit if no leakage occurs in the blowout preventer control unit.
In another possible implementation manner of the embodiment of the present application, when the judging module 202 judges whether the blowout preventer control apparatus leaks based on the sound data collected by the sound collecting device, the judging module is specifically configured to:
Carrying out framing processing on sound data acquired by sound acquisition equipment to obtain a voice signal;
separating the voice signals, determining the intensity value of the separated voice signals, wherein the separated voice signals are voice signals of a blowout preventer control device;
based on the intensity value of the separated voice signal, whether the blowout preventer control device leaks or not is judged.
In another possible implementation manner of the embodiment of the present application, when the judging module 202 performs frame-dividing processing on the sound data collected by the sound collecting device to obtain the voice signal, the judging module is specifically configured to:
sampling the sound data to obtain sampled sound data;
and determining a spectrogram of the sampled sound data to obtain a voice signal.
In another possible implementation manner of the embodiment of the present application, when determining the leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks, the determining module 203 is specifically configured to:
acquiring phase information of a voice signal, and determining leakage position information of a blowout preventer control device based on the phase information of the voice signal;
and acquiring vibration signals acquired by a pressure sensor arranged in the blowout preventer control device, and determining the diameter of the leakage hole and the leakage quantity information based on the vibration signals.
In another possible implementation manner of the embodiment of the present application, when the blowout preventer control apparatus does not leak, the failure prediction module 204 is specifically configured to:
Acquiring blowout preventer control device information and historical fault data;
a failure prediction model is generated based on blowout preventer control unit information and historical failure data.
Based on the failure-preventing prediction model, failure prediction is performed on the blowout preventer control unit.
In another possible implementation manner of the embodiment of the present application, the failure prediction module 204 is specifically configured to, when acquiring information of a blowout preventer control unit:
Acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and predicting the service time of the blowout preventer control device;
Acquiring a historical maintenance record of a blowout preventer control device;
the life information of the blowout preventer control unit is estimated based on the delivery date, and the past maintenance record of the blowout preventer control unit.
Another possible implementation manner of the embodiment of the present application, the apparatus further includes: the device comprises a sending module and a pre-estimating module, wherein,
The sending module is used for sending leakage information of the blowout preventer control device to a worker;
the estimating module is used for estimating leakage amount information generated in the maintenance process.
The embodiment of the application provides a fault monitoring device of a blowout preventer control device, by adopting the technical scheme, an acquisition module can acquire sound data acquired by sound acquisition equipment and analyze the sound data, a judgment module judges whether the blowout preventer control device leaks or not, thereby omitting the step of installing a leak sensor and checking the leak sensor, when the blowout preventer control device fails, the determining module determines information such as leakage position and leakage amount of the blowout preventer control device so as to be convenient for informing a worker to carry out maintenance and other operations, and when the blowout preventer control device does not fail, the failure prediction module predicts the failure of the blowout preventer control device so as to reduce the possibility of economic loss caused by the failure of the blowout preventer control device, thereby being convenient for carrying out failure monitoring on the blowout preventer control device.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the apparatus described above, which is not described herein again.
In an embodiment of the present application, as shown in fig. 3, an electronic device is provided, where the electronic device 30 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit ), general purpose Processor, DSP (DIGITAL SIGNAL Processor, data signal Processor), ASIC (Application SPECIFIC INTEGRATED Circuit), FPGA (Field Programmable GATE ARRAY ) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and stationary terminals such as digital TVs, desktop computers, and the like, and servers and the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related art, the embodiment of the application can acquire the sound data acquired by the sound acquisition equipment and analyze the sound data to judge whether the blowout preventer control device leaks, so that the step of installing the oil leakage sensor and checking the oil leakage sensor is omitted, when the blowout preventer control device fails, the information such as the leakage position and the leakage amount of the blowout preventer control device is determined, so that the operation such as maintenance is conveniently informed to a worker, and when the blowout preventer control device does not fail, the blowout preventer control device is subjected to failure prediction, so that the possibility of economic loss caused by the failure of the blowout preventer control device is reduced, and the failure monitoring of the blowout preventer control device is facilitated.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.
Claims (7)
1. A method of fault monitoring of a blowout preventer control apparatus, comprising:
acquiring sound data acquired by sound acquisition equipment installed in a blowout preventer control device;
Judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collecting equipment;
if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises leakage position information and leakage amount information;
If the blowout preventer control device does not leak, performing fault prediction on the blowout preventer control device;
Based on the sound data that sound collection equipment gathered, judge whether blowout preventer controlling means takes place to leak, include:
Carrying out framing processing on sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the intensity value of the separated voice signals, wherein the separated voice signals are voice signals of a blowout preventer control device;
judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal;
judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal; the method specifically comprises the following steps:
When the separated voice signal strength value is larger than the strength critical value of the leakage of the blowout preventer control device, determining that the blowout preventer control device leaks; when the separated voice signal strength value is smaller than the strength critical value of leakage of the blowout preventer control device, determining that the blowout preventer control device does not leak;
if the blowout preventer control unit leaks, determining leakage information of the blowout preventer control unit includes:
acquiring phase information of a voice signal, and determining leakage position information of a blowout preventer control device based on the phase information of the voice signal;
acquiring vibration signals acquired by a pressure sensor arranged in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals;
If the blowout preventer control unit does not leak, performing failure prediction on the blowout preventer control unit, including:
Acquiring blowout preventer control device information and historical fault data;
generating a fault prediction model based on the blowout preventer control unit information and the historical fault data;
and carrying out fault prediction on the blowout preventer control device based on the fault prediction model.
2. The method for monitoring the failure of the blowout preventer control apparatus according to claim 1, wherein the framing the sound data collected by the sound collection device to obtain the voice signal comprises:
sampling the sound data to obtain sampled sound data;
And determining a spectrogram of the sampled sound data to obtain a voice signal.
3. The blowout preventer control apparatus fault monitoring method of claim 1, wherein the obtaining blowout preventer control apparatus information comprises:
Acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and predicting the service time of the blowout preventer control device;
Acquiring a historical maintenance record of a blowout preventer control device;
and estimating service life information of the blowout preventer control device based on the service time of the blowout preventer control device and the past maintenance record.
4. The blowout preventer control apparatus failure monitoring method according to claim 1, wherein if the blowout preventer control apparatus leaks, the leak information of the blowout preventer control apparatus is determined, and further comprising:
Sending leakage information of the blowout preventer control unit to a worker;
leakage amount information generated in the maintenance process is estimated.
5. A blowout preventer control apparatus failure monitoring apparatus, comprising:
The acquisition module is used for acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device;
The judging module is used for judging whether the blowout preventer control device leaks or not based on the sound data acquired by the sound acquisition equipment;
The determining module is used for determining leakage information of the blowout preventer control device if the blowout preventer control device leaks, wherein the leakage information comprises leakage position information and leakage amount information;
The fault prediction module is used for predicting faults of the blowout preventer control device if the blowout preventer control device does not leak;
Based on the sound data that sound collection equipment gathered, judge whether blowout preventer controlling means takes place to leak, include:
Carrying out framing processing on sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the intensity value of the separated voice signals, wherein the separated voice signals are voice signals of a blowout preventer control device;
judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal;
judging whether the blowout preventer control device leaks or not based on the intensity value of the separated voice signal; the method specifically comprises the following steps:
When the separated voice signal strength value is larger than the strength critical value of the leakage of the blowout preventer control device, determining that the blowout preventer control device leaks; when the separated voice signal strength value is smaller than the strength critical value of leakage of the blowout preventer control device, determining that the blowout preventer control device does not leak;
if the blowout preventer control unit leaks, determining leakage information of the blowout preventer control unit includes:
acquiring phase information of a voice signal, and determining leakage position information of a blowout preventer control device based on the phase information of the voice signal;
acquiring vibration signals acquired by a pressure sensor arranged in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals;
If the blowout preventer control unit does not leak, performing failure prediction on the blowout preventer control unit, including:
Acquiring blowout preventer control device information and historical fault data;
generating a fault prediction model based on the blowout preventer control unit information and the historical fault data;
and carrying out fault prediction on the blowout preventer control device based on the fault prediction model.
6. An electronic device, comprising:
at least one processor;
A memory;
At least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a blowout preventer control apparatus failure monitoring method according to any one of claims 1 to 4 is performed.
7. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the blowout preventer control apparatus failure monitoring method of any one of claims 1 to 4.
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