AU2020103367A4 - An underwater production riser acceleration monitoring system based on compressive sensing technology - Google Patents
An underwater production riser acceleration monitoring system based on compressive sensing technology Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
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Abstract
An underwater production riser acceleration monitoring system based on compressive
sensing technology, belonging to the technical field of monitoring the underwater structure of
an offshore floating platform. In this method, the data compression module uses the fixed
observation matrix to compress the data collected by the acceleration sensor, and obtains the
compressed data far lower than the original sampling frequency. The compressed signal is
transformed into an underwater acoustic signal by the underwater acoustic transmission
module and transmitted to the underwater acoustic receiving system of the platform
monitoring base station. After the compressed signal is reconstructed, the reconstructed signal
with high fidelity is obtained Line storage, display and data analysis are used to realize on-line
monitoring and real-time analysis of acceleration and water depth data of subsea production
riser. This method can effectively solve the problems of narrow transmission band and easy
data loss, reduce the requirements for hardware, reduce the workload of underwater
monitoring system, and reduce the transmission pressure of underwater acoustic transmission.
It can be widely used in the field of underwater structure monitoring technology of offshore
floating platform.
1/1
Underwater wireless Platform monitoring
monitoring base station
system
Original data Received data
Matrix(
reconstruction model
reconstruction
Figure 1
Underwater wireless Platform monitoring
monitoring system 10 base station I1
First housingI
wUnderwater Underwater
managementacoustic acoustic
module 7 transmission receiving Microprocessor module 12
Data storage 2 Clock
module 6 synchronization microprocessor
module 8 13
Data
Acceleration -- on 4--- Water depth Industrial
sensor 4 sensor 5 Computer 14
Figure 2
Description
1/1
Underwater wireless Platform monitoring monitoring base station system
Original data Received data
Matrix(
reconstruction model
reconstruction
Figure 1
Underwater wireless Platform monitoring monitoring system 10 base station I1
First housingI
wUnderwater Underwater acoustic managementacoustic transmission receiving module 7 Microprocessor module 12
Data storage 2 Clock module 6 synchronization microprocessor module 8 13
Acceleration -- on Data 4--- Water depth Industrial sensor 4 sensor 5 Computer 14
Figure 2
Technical field
The present invention relates to an underwater production riser acceleration monitoring system
based on compressive sensing technology, which belongs to the technical field of underwater
structure monitoring of offshore floating platform.
Background
The production riser is the main part of the offshore float platform production system and the
transmission pipeline between the subsea wellhead and the platform. Under the comprehensive
action of external environmental forces such as wave force and ocean current force, the
structure of the riser appears vortex-induced vibration. As a result, excessive drag force of the
riser leads to deformation and fatigue damage. In addition, the platform drifts slowly under the
action of ocean current force, which may cause the riser to be damaged. Therefore, in order to
provide information on the damage of the production riser, it is urgent to conduct on-site
monitoring of the risers,
The monitoring of production risers requires corresponding sensors to be arranged on the
designed positions. At present, for the monitoring of production risers, many platforms adopt
monitoring the top tension of the risers. However, this method can only obtain the force on the
top of the risers, which cannot measure the movement of all nodes of the risers under the
action of ocean current and wave force.
Therefore, the researchers calculate the motion responses of the riser by monitoring the
movement posture of the production riser combined with water depth and other information.
At present, underwater measurement devices mainly adopt online and self-contained types.
The on -line monitoring device supplies power to the equipment through cables and transmits
the data measured by underwater sensors to terminals on the water through the cables as
electrical signals. However, the cables need to be retracted according to the relative movement
of the riser and the platform, which affects the layout of the cables. At the same time, the cables are exposed to the marine environment for a long time, which brings limitations to long-term monitoring. The existing self-contained underwater monitoring device cannot realize real-time monitoring.
As a kind of wireless transmission technology, underwater acoustic transmission technology
has a broad application prospect in underwater structure monitoring. However, due to the
complexity of the transmission medium and the limitation of sensors, the underwater acoustic
transmission technology still has the problems of narrow bandwidth and easy data loss.
Compressive sensing technology, as a new sampling theory, develops the sparse characteristics
of the signal, uses random sampling to obtain discrete samples of the signal, and reconstructs
the signal through the nonlinear reconstruction algorithm. Compressive sensing theory is
based on the compressibility of signals, and realizes the perception of high-dimensional
signals through non-correlated observations of low-dimensional space, low resolution, and
sub-Nyquist sampled data, which enriches signal optimization strategies and promotes
mathematical theory integration with engineering practice.
The underwater production riser attitude monitoring system based on compressive sensing
technology can monitor the underwater production riser attitude and depth information in real
time and transmit it to the platform base station. Compared with the cable method, it greatly
saves costs and improves efficiency.
Summary
In view of the above problems, the purpose of the patent of the present invention is to provide
a production riser acceleration monitoring system that has long-term effectiveness and can
transmit signals stably in real time.
The present invention has the following advantages due to the above technical solutions.
The monitoring system includes underwater monitoring system and platform monitoring base
station, which is characterized in that the underwater monitoring system adopts the
microprocessor of the monitoring system, the underwater acoustic transmission module, the
clock synchronization module, the power management module, the data storage module, the
data pressure module. The data compression module is electrically connected with
acceleration sensor and water depth sensor;
The platform monitoring base station () is electrically connected with the underwater acoustic receiving module and the industrial control computer by the monitoring base station microprocessor; The wireless transmission of underwater acoustic information is adopted between the underwater acoustic transmission module and the underwater acoustic receiving module; The preset parameters of the water depth sensor and acceleration sensor include the acquisition time, the sampling time, the dormancy time and the sampling frequency; The clock synchronization module provides the current time for the monitoring system microprocessor and generates an interrupt signal in alarm mode to wake up the monitoring system microprocessor when the monitoring system microprocessor is dormant; The power management module supplies power to each power consuming part through a charging battery; When the preset parameters of the underwater monitoring system need to be adjusted, the underwater acoustic transmission module receives the adjustment instruction sent by the platform monitoring base station; The microprocessor of the monitoring system controls the start or stop of acceleration sensor and water depth sensor, and transmits parameter adjustment command. The acceleration monitoring method for subsea production riser, which is characterized in that the monitoring method comprises the following steps: A. The underwater monitoring system is installed at the designated position of the subsea production riser, and each component starts to work according to the preset parameters; B. The acceleration sensor and the water depth sensor collect the original signal, and the original signal x is the column vector of the spatial dimension, where the original signal is sparse expressed as:; C. The acceleration sensor and the water depth sensor transmit the collected original signal x to the data compression module, and the data compression module compresses the original signal x by using the preset observation matrix to obtain the compressed signal far smaller than the original signal dimension, wherein; is the compression matrix, which is the data length of the compressed signal, For the length of the original signal data, Gaussian random matrix or partial Hadamard matrix is selected as the observation matrix; D. The data compression module transmits the compressed signal and the original signal to the monitoring system microprocessor, which transmits the original signal to the data storage module for data storage, and the compressed signal is transmitted to the underwater acoustic transmission module;
E. The underwater acoustic transmission module converts the compressed signal into an
underwater acoustic signal and transmits it to the underwater acoustic receiving module of the
platform monitoring base station by means ofunderwater acoustic wireless communication;
F. The underwater acoustic receiving module receives the received signal, which is a
partially lost signal; if the number of lost data is, then it is the column vector of dimension,
where is the data length of the lost signal;
G. The underwater acoustic receiving module transmits the received signal to the
monitoring base station microprocessor, and the monitoring base station microprocessor
reconstructs the received signal, and determines the size of the partially lost observation
matrix according to the data number of the received signal The matrix obtained after losing the
corresponding row vector; reconstructing the sparse vector by solving the L norm optimal
solution problem; reconstructing the reconstructed signal; the monitoring base station
microprocessor uses CVX algorithm or feature orthogonal matching pursuit algorithm to
reconstruct the received signal;
H. The monitoring base station microprocessor transmits the reconstructed signal to the
industrial computer of the platform monitoring base station, and the industrial computer
carries out data storage, display and data analysis.
Since the present invention is provided with an acceleration sensor, a data compression
module, a microprocessor and an underwater acoustic transmission module. The data
compression module is used to compress the collected acceleration information. It can ensure
that the original information is completely retained while reducing the amount of data
transmission.
Since the present invention is provided with a water depth sensor, an acceleration sensor, a
data compression module, a microprocessor and an underwater acoustic transmission module.
The water depth and acceleration data can be transmitted in real time by the underwater
acoustic communication. The sampling time and sampling frequency of water level and
acceleration sensor can be sed freely. The compression rate can be set independently and the compression matrix can be changed to achieve the encryption effect.
The whole of the present invention is sealed in the waterproof first housing, which is
convenient for underwater installation. The first housing uses a titanium alloy or stainless steel
sealing cylinder, which has the advantages of waterproof and pressure resistance.
The present invention adopts the underwater acoustic transmission mode for signal
transmission, which can directly receive, process and save information on the platform
monitoring base station, eliminating the need to salvage sensors and copy data.
The present invention adopts the underwater acoustic transmission mode for signal
transmission. It can monitor the underwater monitoring system in real time according to the
data obtained by analysis, so as to check the working status of the underwater equipment. If
the sensor fails, it can be found and reported to the staff for repair and replacement in time.
The invention can be widely used in the technical field of underwater production riser
monitoring.
Brief Description of the Drawings
Figure 1 is a schematic diagram of signal transmission of the monitoring system of the present
invention;
Figure 2 is a schematic diagram of the structure of the monitoring system of the present
invention.
Detailed Description Referring to Figure 1 and 2,the present invention will be described in detail. However, it
should be understood that the drawings are only provided for a better understanding of the
present invention, and they should not be construed as limitation of the present invention.
Figure 1 shows a schematic diagram of signal transmission in the present invention,
where the left side is the data compression process of the underwater acquisition end. The data
compression process mainly involves acceleration sensors, data compression modules,
microprocessors, and underwater acoustic transmission module. It includes such process as
monitoring information sampling, spare transformation and measurement matrix
transformation. The original monitoring data collected by the acceleration sensor generally does not have sparseness in the time domain, but it shows obvious sparseness in some special domains. Therefore, the signal is compressed by the data compression module and then transmitted to the microprocessor. The microprocessor connects the compressed signal to the underwater acoustic transmission module for data transmission. The right side is the reconstruction process of the platform base station. The data reconstruction process mainly involves the underwater acoustic receiving module, microprocessor and industrial computer. After the underwater acoustic receiving module receives the compressed signal sent from the underwater acoustic transmission module in the underwater monitoring system, it is reconstructed by the microprocessor and transferred to the industrial computer for storage and further data analysis. Compressive sensing is carried out in two steps. The first step is the compression process. First, for the original signal X, X c RN collected by the acceleration sensor, the transformation coefficient is obtained by a=T TX. a is the equivalent or approximate sparse representation of X in the transformation domain. Design an observation matrix
(DcRM xN,M<N that is not related to the transformation basis matrix T and let
Y=®a=V TX then the compressed signal Y,Y c RM is obtained. This process can also be
regarded as the non-adaptive observation of the signal X through compression matrix
0, RMxN :Y=X, =T . The compression matrix can be a Guassian random
matrix. The second step is the reconstruction process. Consider the possibility of data loss in Y during transmission. Supposing the data vector received by the underwater acoustic
receiving module of the base station is donated as i. Obviously, if the number of missing
data is recorded as N1 , then the vector i is a vector containing (M - N) elements. At
this time. t=SX=Ta=6a , YgRM-Nl, S R(M-)xN . Among them, 4 is the
observation matrix obtained by missing the corresponding row vector of matrix P. The reconstruction basis coefficient a is calculated by solving the optimal solution of Ll norm:
a= arg min||allm, 6d = Y . At this time, the original monitoring signal X can be reconstructed
with a high probability. This conclusion has been proved by the Restricted Isometry Property (RIP) and the theory of coherence discrimination. The invention can reconstruct the original signal through a small amount of compressed signals, which not only reduces the hardware requirements, but also improves the compression efficiency and reduces the pressure of data transmission. Besides, the present invention effectively solves the problems of data loss during transmission.
As shown in figure 2, the acceleration monitoring system for underwater production riser
provided by the present invention is composed of an underwater wireless monitoring system
10 and a platform monitoring base station 14. The underwater wireless monitoring system 10
includes the first housing 1. A circuit board is inserted and fixed in the first housing 1, and an
underwater acoustic transmission module 9, a microprocessor 2, and a data storage module 6 are sequentially arranged on the circuit board from top to bottom. The data compression
module 3, the acceleration sensor 4, the clock synchronization module 8, the water depth
sensor 5, and the power management module 7, wherein the probe of the water depth sensor 5
is arranged at the bottom of the first housing 1. The data compression module 3, the data
storage module 6, the power supply module 7, the clock synchronization module 8 and the
underwater acoustic transmission module 9 are respectively connected to the microprocessor 2.
The acceleration sensor 4 and the water depth sensor 5 are respectively connected to the data
compression module 3. The platform monitoring base station 14 includes an underwater
acoustic receiving module 12, a microprocessor 13 and an industrial computer 14. The
underwater acoustic receiving module 12 is connected to the microprocessor 13, and the microprocessor 13 is connected to the industrial computerl4.
The acceleration sensor 4 is used to collect acceleration data of the current measurement
point in real time. The water depth sensor 5 is used to collect water depth data of the current
measurement point in real time. The microprocessor 2 is used to control the start or stop of the
acceleration sensor 4 and the water depth sensor 6. Besides, it is used to transfer the
compressed data transferred by the data compression module 3 to the underwater acoustic
transmission module 9, and the original monitoring data is transferred to the data storage
module 6 for data storage. The data compression module 5 is used to compress the water depth
data and acceleration data of the current measurement point and send them to the underwater
acoustic transmission module 9 via the microprocessor 2. The underwater acoustic transmission device 9 is used for converting the compressed acceleration data and the water
depth data into acoustic signals, and then transmitting them to the underwater acoustic receiving module 12 on the platform. The clock synchronization 8 is used to provide the current time for the microprocessor2, and when the microprocessor 2 is sleeping, it uses the alarm mode to periodically generate an interrupt signal to wake up the microprocessor 2 and prevent the microprocessor 2 from crashing. The data storage module 6 is used to store the water depth data and acceleration data of the current measurement point. The power module 9 is used to supply power to the electrical components of the monitoring device through a rechargeable battery. The underwater acoustic receiving module 12 is used to receive the compressed signal transmitted by the underwater acoustic transmission module 9 in the underwater wireless monitoring system 10. The underwater acoustic receiving module 12 is also used to transmit the received signal to the microprocessor 13. The microprocessor 13 reconstructs the received compressed signal and transmits the reconstructed signal to the industrial computer 14. In addition, if the underwater wireless monitoring system 10 fails, the microprocessor 13 is responsible for transmitting the instructions of industrial computer 14 to the underwater acoustic receiving module 12, which is sent to the underwater acoustic transmission module
9in the underwater monitoring system 10. The industrial computer 14 is responsible for storing, displaying, and analyzing the reconstructed signals. In a preferred embodiment, the compression matrix can be a Gaussian random matrix or a partial Hadamard matrix. In a preferred embodiment, the reconstruction algorithm can use the CVX algorithm or
the OMP algorithm. In a preferred embodiment, a battery rack is also provided in the first housing 1, the battery rack is arranged on the circuit board for placing batteries. The battery rack is connected to the power management module 7 through a cable. In a preferred embodiment, the batteries can all be rechargeable lithium batteries
connected in series. In a preferred embodiment, the first housing 1 can be a titanium alloy or stainless steel sealing cylinder. In a preferred embodiment, the data storage module 4 can adopt an SD card. The following describes in detail the used method of the underwater production riser
acceleration monitoring system based on compressive sensing technology of through specific embodiments: 1) Install an underwater wireless monitoring system on the underwater riser according to the designated position. 2) Pre-set the parameters of the microprocessor2, including sampling interval, sampling time, etc., set the compressed matrix of the data compression module 3 and other parameters. The acceleration sensor 4 automatically starts according to the preset parameters, collects acceleration data at the monitoring point, and the water depth sensors 5 is automatically activated according to preset parameters to collect water depth data at the monitoring point. 3) The data compression module 3 compresses the collected monitoring data X into the compressed signal Y according to the preset compression matrix (D. Which make the number of compressed signalY less than the number of the original monitoring data X. The data compression module 3 transmits the compressed signal Y and the original signal X to the microprocessor 3. 4) The microprocessor 2 transmits the compressed signal Y to the underwater acoustic transmission module 9. The microprocessor 2 transmits the original signal X to data storage module 6 for data storage. 5) The underwater acoustic transmission module 9 uses the underwater acoustic transmission technology to convert the compressed signalY into an underwater acoustic signal and transmit it to the underwater acoustic receiving module 12 of the platform monitoring base station 14.
6) The compressed signal t received by the underwater acoustic receiving module 12
is a signal after partial loss of the compressed signal Y due to the influence of the transmission medium.
7) The underwater acoustic receiving module 12 converts the compressed signal?
into an electrical signal and transmits it to the microprocessor 13. The
microprocessor 13 processes the received compressed signal ? and analyze it to
determine the number of rows of matrix 4. That is, delete the row vector
corresponding to the missing data in Y from the original compression matrix <D.
And use the reconstruction algorithm to solve the optimal coefficient &, and finally
reconstruct the signal.
8) The microprocessor 13 transmits the reconstructed signal to the industrial computer
14 and the industrial computer 14 stores, displays and analyzes the obtained
reconstructed signal c
. The foregoing embodiments are only used to illustrate the present invention. The
structure, connection mode, and manufacturing process of each component can be changed.
Any equivalent transformation and improvement based on the technical solution of the present
invention should not be excluded from the protection scope of the present invention.
Claims (2)
1. An underwater riser acceleration monitoring system based on compressive sensing
technology, the monitoring system includes underwater monitoring system (10) and platform
monitoring base station (11), which is characterized in that the underwater monitoring system
(10) adopts the microprocessor (2) of the monitoring system, the underwater acoustic
transmission module (9), the clock synchronization module (8), the power management
module (7), the data storage module (6), the data pressure module The data compression
module (3) is electrically connected with acceleration sensor (4) and water depth sensor (5);
the platform monitoring base station (11) is electrically connected with the underwater
acoustic receiving module (12) and the industrial control computer (14) by the monitoring
base station microprocessor (13);
the wireless transmission of underwater acoustic information is adopted between the
underwater acoustic transmission module (9) and the underwater acoustic receiving module
(12);
the preset parameters of the water depth sensor (5) and acceleration sensor (4) include the
acquisition time, the sampling time, the dormancy time and the sampling frequency;
the clock synchronization module (8) provides the current time for the monitoring system
microprocessor (2) and generates an interrupt signal in alarm mode to wake up the monitoring
system microprocessor (2) when the monitoring system microprocessor (2) is dormant;
the power management module (7) supplies power to each power consuming part through a
charging battery;
when the preset parameters of the underwater monitoring system (10) need to be adjusted, the
underwater acoustic transmission module (9) receives the adjustment instruction sent by the
platform monitoring base station (11);
the microprocessor (2) of the monitoring system controls the start or stop of acceleration
sensor (4) and water depth sensor (5), and transmits parameter adjustment command.
2. The acceleration monitoring method for subsea production riser according to claim 1,
which is characterized in that the monitoring method comprises the following steps:
A. the underwater monitoring system (10) is installed at the designated position of the
subsea production riser, and each component starts to work according to the preset parameters;
B. the acceleration sensor (4) and the water depth sensor (5) collect the original signal,
and the original signal x is the column vector of the spatial dimension, where the original
signal is sparse expressed as;
C. the acceleration sensor (4) and the water depth sensor (5) transmit the collected
original signal x to the data compression module (3), and the data compression module (3)
compresses the original signal x by using the preset observation matrix to obtain the
compressed signal far smaller than the original signal dimension, wherein,; is the compression
matrix, which is the data length of the compressed signal, For the length of the original signal
data, Gaussian random matrix or partial Hadamard matrix is selected as the observation
matrix;
D. the data compression module (3) transmits the compressed signal and the original
signal to the monitoring system microprocessor (2), which transmits the original signal to the
data storage module (6) for data storage, and the compressed signal is transmitted to the
underwater acoustic transmission module (9);
E. the underwater acoustic transmission module (9) converts the compressed signal into
an underwater acoustic signal and transmits it to the underwater acoustic receiving module (12)
of the platform monitoring base station (11) by means of underwater acoustic wireless
communication;
F. the underwater acoustic receiving module (12) receives the received signal, which is a
partially lost signal; if the number of lost data is, then it is the column vector of dimension,
where is the data length of the lost signal;
G. the underwater acoustic receiving module (12) transmits the received signal to the
monitoring base station microprocessor (13), and the monitoring base station microprocessor
(13) reconstructs the received signal, and determines the size of the partially lost observation
matrix according to the data number of the received signal The matrix obtained after losing the
corresponding row vector; reconstructing the sparse vector by solving the Li norm optimal
solution problem; reconstructing the reconstructed signal; the monitoring base station
microprocessor (13) uses CVX algorithm or feature orthogonal matching pursuit algorithm to
reconstruct the received signal;
H. the monitoring base station microprocessor (13) transmits the reconstructed signal to
the industrial computer (14) of the platform monitoring base station (11), and the industrial computer (14) carries out data storage, display and data analysis.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011074242.7A CN112188321A (en) | 2020-10-09 | 2020-10-09 | Acceleration monitoring system and monitoring method for underwater production riser |
| CN202011074242.7 | 2020-10-12 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2020103367A4 true AU2020103367A4 (en) | 2021-01-21 |
Family
ID=73948790
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2020103367A Ceased AU2020103367A4 (en) | 2020-10-09 | 2020-11-10 | An underwater production riser acceleration monitoring system based on compressive sensing technology |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112188321A (en) |
| AU (1) | AU2020103367A4 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113670435A (en) * | 2021-08-20 | 2021-11-19 | 西安石油大学 | Underground vibration measuring device based on compressed sensing technology and measuring method thereof |
| CN115001148A (en) * | 2022-08-03 | 2022-09-02 | 杭州轻舟科技有限公司 | Energy storage power station data full-scale high-frequency real-time acquisition method and system |
| CN115184571A (en) * | 2022-07-18 | 2022-10-14 | 三峡大学 | Automatic water quality detection system for deep water section |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114390040A (en) * | 2021-12-06 | 2022-04-22 | 海洋石油工程股份有限公司 | Method for reading stored data of underwater data collector |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106908143B (en) * | 2017-03-01 | 2019-04-26 | 中国海洋大学 | Ocean platform monitors system and method |
| CN110954712A (en) * | 2019-12-04 | 2020-04-03 | 中国海洋石油集团有限公司 | Deep sea structure dynamic response sensor |
| CN110986893A (en) * | 2019-12-04 | 2020-04-10 | 中国海洋石油集团有限公司 | Water depth-attitude monitoring device of mooring system |
-
2020
- 2020-10-09 CN CN202011074242.7A patent/CN112188321A/en active Pending
- 2020-11-10 AU AU2020103367A patent/AU2020103367A4/en not_active Ceased
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113670435A (en) * | 2021-08-20 | 2021-11-19 | 西安石油大学 | Underground vibration measuring device based on compressed sensing technology and measuring method thereof |
| CN115184571A (en) * | 2022-07-18 | 2022-10-14 | 三峡大学 | Automatic water quality detection system for deep water section |
| CN115001148A (en) * | 2022-08-03 | 2022-09-02 | 杭州轻舟科技有限公司 | Energy storage power station data full-scale high-frequency real-time acquisition method and system |
| CN115001148B (en) * | 2022-08-03 | 2022-11-22 | 杭州轻舟科技有限公司 | Energy storage power station data full-scale high-frequency real-time acquisition method and system |
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|---|---|
| CN112188321A (en) | 2021-01-05 |
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