CN108919092A - A kind of fault locator for testing industrial measurement and control instrument - Google Patents
A kind of fault locator for testing industrial measurement and control instrument Download PDFInfo
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- CN108919092A CN108919092A CN201810691500.2A CN201810691500A CN108919092A CN 108919092 A CN108919092 A CN 108919092A CN 201810691500 A CN201810691500 A CN 201810691500A CN 108919092 A CN108919092 A CN 108919092A
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/28—Testing of electronic circuits, e.g. by signal tracer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06T7/70—Determining position or orientation of objects or cameras
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Abstract
The invention discloses a kind of fault locators for testing industrial measurement and control instrument, including wireless acquisition terminal and location control server, wireless acquisition terminal includes that positioning mechanism is imaged in the low current fault positioning mechanism for carrying out the detection of the electrical property in instrument circuit and the compound eye for carrying out vision positioning monitoring；Fault location mechanism and the communication port of compound eye imaging positioning mechanism are connected with the wireless communication range finder module for transmitting/receiving wireless signal；Wirelessly communicating range finder module includes using ranging register, the SPI interface of ranging register is connected with embedded controller port, the output end of ranging register is connected with the radio frequency conversion module for digital electric signal to be converted into radiofrequency signal, and the sending and receiving end of radio frequency conversion module is equipped with dual-mode antenna；The present invention is realized to the real-time detection and precise positioning of instrument fault and picture control, can effectively be saved human cost resource, and overhaul in time to failure, be guaranteed the job stability of whole device.
Description
Technical field
The present invention relates to measure and control instrument devices field, specially a kind of fault locator for testing industrial measurement and control instrument.
Background technique
Industrial automation instrument is in industrial processes, is detected, shown, recorded or controlled to technological parameter
The instrument that instrument, also known as industrial instrument detect technological parameter, show, record or control, or the detection control of (industry) process
Instrument processed.The detection of art production process is to understand and control industrial basic means, only at any time can be quasi-
Really understand the overall picture of technical process, and controlled, just can guarantee that production process is smooth, and with high productivity, small disappear
Consumption produces qualified product.
Technological transformation, factory automation, the IT application in enterprises of traditional industrial enterprise, require a large amount of Department of Industrial Automation
System.Current automatic field includes the major products contention system such as IPC, DCS, PLC, and beauty, day, Europe and native country supplier exist
Respectively open up skill in the market of different stage.This is also extremely complicated market, industry control and automation industry be related to electric power, electronics,
The numerous areas such as computer, artificial intelligence, communication, electromechanics, and using extremely imbalance between Chinese every profession and trade, in tobacco, electric power, smelting
The capital construction field of the monopolizations such as gold, the automatization level of domestic enterprise have been walked in world forward position；The application of the industries such as automobile, pharmacy
Currently further in in-depth；And numerous conventionally manufactured industries, then still in the ground zero stage.Moreover, China's economic increases
The occurent transformation of mode is also bringing a series of profound change to this industry.
Great changes have occurred in the market demand automated at present, and user is no longer satisfied with mentioning for the automatization level of device
Height, but even entire enterprise group of entire factory (Plant) organism controllable, healthy as one is run, it is desirable that
Automated system has systemic, comprehensive, real-time and accuracy as the nervous system of animal.Therefore it needs to guarantee
The reliability service of this TT&C system, once instrument breaks down, it is necessary to repairing recovery is carried out, immediately to guarantee whole system
Job stability；But existing measure and control instrument system does not have accurate fault location mechanism generally.
For example, notification number is 105549490A, a kind of wireless test and control instrument based on WiFi communication mode of patent name, packet
It includes and is set to user's electric energy meter and power supply management backstage, which is characterized in that is wireless including main control module, electric energy meter module, WiFi
Communication module, display module and power module, the main control module include microprocessor and storage unit, the microprocessor
It is connected respectively with storage unit, electric energy meter module, WiFi wireless communication module, display module and power module, the power supply mould
Block respectively with microprocessor, electric energy meter module, WiFi wireless communication module and display module.By the above-mentioned means, the invention is kept away
Exempt from cumbersome cable wiring manufacture and later maintenance, power supply management backstage passes through WiFi wireless communication module, utilize the wireless office of WiFi
The working condition of user's electric energy meter that domain net and internet connect the present invention, characteristic parameter, carry out remote real time monitoring and
Real-time update, but the invention still has the following problems：
(1) invention is merely able to detect that failure occurs when carrying out state-detection, but can not accurately provide event
Hinder the position occurred；
(2) invention does not have picture control function, and maintenance personal can not be facilitated remotely to carry out practical feelings to scene
Condition is checked.
Summary of the invention
In order to overcome the shortcomings of that prior art, the present invention provide a kind of fault location dress for testing industrial measurement and control instrument
It sets, can effectively solve the problem of background technique proposes.
The technical solution adopted by the present invention to solve the technical problems is：A kind of fault location for testing industrial measurement and control instrument
Device, including determining for distributing installation in the wireless acquisition terminal of each measuring control point and for being fixedly mounted at monitoring center
Position control server, the location control server and multiple wireless acquisition terminals form stelliform connection topology configuration, and by wireless
Network carries out signal transmission；
The wireless acquisition terminal includes the low current fault localization machine for carrying out the detection of the electrical property in instrument circuit
Positioning mechanism is imaged in structure and compound eye for carrying out vision positioning monitoring；Positioning mechanism is imaged in the fault location mechanism and compound eye
Communication port be connected with the wireless communication range finder module for transmitting/receiving wireless signal；
The low current fault positioning mechanism includes the voltage-current sensor that circuit is accessed by detection resistance, the electricity
The output end of piezoelectricity flow sensor is connected with wide area phasor synchronous measurement circuit, and the wide area phasor synchronous measurement circuit is connected with
For carrying out the embedded controller of signal acquisition measurement analysis, the port USART of the embedded controller and wireless communication
Range finder module is connected；
The compound eye imaging positioning mechanism includes the compound eye spherical shell substrate for entire imaging mechanism to be fixedly mounted, described multiple
In back-off hemispherical dome structure, the upper surface of compound eye spherical shell substrate is inlaid at equal intervals for setting in visual field one eyeball shell substrate
The sub- eyelens of subregion target imaging, compound eye spherical shell substrate lower section are equipped with for optimizing turning back for sub- eyelens incident ray
Lens, the rotation adjustment pedestal for fixing compound eye spherical shell substrate is equipped with below the lens of turning back, and the rotation adjusts
Be equipped on pedestal for carry out it is photosensitive and imaging image sensor module, the USB interface of described image sensor module with
Wireless communication range finder module is connected；
The wireless communication range finder module includes using the ranging register based on symmetrical two-way bilateral location algorithm, described
The SPI interface of ranging register is connected with embedded controller port, and the output end of ranging register is connected with for that will count
Word electric signal is converted into the radio frequency conversion module of radiofrequency signal, and the sending and receiving end of the radio frequency conversion module is equipped with dual-mode antenna.
Further, the location control server includes for receiving the network from wireless communication range finder module signal
Data server, the web data server are built-in with multinode locating module for carrying out distance exam and for carrying out
The post processing of image module of identifying processing is imaged.
Further, the location algorithm of the multinode locating module includes the following steps：
Step 101：Distance is thick fixed, transmitted from wireless communication range finder module the wireless acquisition terminal that is read in data with
The relative distance information of unknown failure point, using the SDSTWR algorithm measurement beaconing nodes based on CSS and between nodes of locations
Distance value；
Step 102：Coordinates computed, the rough distance value according to obtained in step 101, using three side centroid localization algorithm meters
Calculate the coordinate information of unknown failure point；
Step 103：Filtering clutter establishes kalman filter models for obtained coordinate information and carries out denoising optimization, obtains
Obtain optimal positioning position information.
Further, the framing algorithm steps of described image post-processing module are as follows：
Step 201：Orientation parameter resolves, and post processing of image module reads multiple from wireless communication range finder module transmission signal
The imaging data of eye imaging positioning mechanism, and parameter calculation is oriented to image information using the R-D model of linearisation；
Step 202：Image enhancement, while being oriented parameter calculation, using the image based on Laplace operator
Enhancing algorithm carries out enhancing optimization to acquired image；
Step 203：Three-dimensional coordinate calculates, and orientation parameter is resolved and carries out homotopy mapping with enhanced image information,
Three-dimensional coordinate information is calculated, and establishes the location information model of 3 D stereo.
Further, the wide area phasor synchronous measurement circuit includes being used for collection voltages current sensor amplitude and phase
The secondary zero sequence PT/CT circuit of information, the secondary zero sequence PT/CT circuit output voltage current signal are connected to signal condition electricity
Road, the signal after the output conditioning of the signal conditioning circuit to filtering shaping circuit, believe by the simulation of the filtering shaping circuit
Number output end is connected with the analog-digital converter interface of embedded controller.
Further, the sub- eyelens is each in class hexagonal configuration, and the lower surface of every sub- eyelens is corresponding
Have with numbered stair-stepping photosensitive compound eye channel, the photosensitive compound eye channel is at equal intervals in compound eye spherical shell substrate surface point
Cloth.
Further, the image processing algorithm of described image sensor module includes the following steps：
Step 301：The collected optical signal of sub- eyelens is converted into telecommunications by image binaryzation, image sensor module
Number, and gray level image is installed and carries out threshold process conversion, using global binarization method by acquired image signal
It is converted into two-value data；
Step 302：Image filtering carries out convolution to image using the smooth template in mean filter, and combines small echo
The method of noise reduction eliminates various picture noises, extracts image key message；
Step 303：Image segmentation, using the image partition method based on genetic algorithm by whole image region segmentation Cheng Ruo
Dry non-empty subregion, and label is scanned to each region, it acquires each target and connects region and boundary, and corresponding position figure
As pixel coordinate value preserves, in favor of subsequent image processing；
Step 304：Facula Center Location establishes angle hot spot centre coordinate non-linear relation, realizes to the accurate of image
Extract imaging.
Compared with prior art, the beneficial effects of the invention are as follows：
(1) present invention is worked electric by setting low current fault positioning mechanism using voltage-current sensor acquisition instrument
The Current Voltage value on road, then be converted into meeting the letter of the input requirements of embedded controller by wide area phasor synchronous measurement circuit
Number, the acquisition to low current fault information is completed, sampling precision is high and does not destroy the working condition of original circuit；
(2) positioning mechanism is imaged by setting compound eye in the present invention, installs sub- eyelens using compound eye spherical shell substrate and is formed extensively
The photosensitive mechanism at visual angle, and using lens optimization incident ray of turning back, so that each sub-lens is incident on imaging sensor imaging surface
Light it is vertical with imaging surface as far as possible, to reduce the reflection of light, greatly improve image quality；And in image sensor module
Method that is middle to use angle hot spot centre coordinate, proposing compound eye integral calibrating, has simplified calibration process, has mentioned and heard calibration efficiency,
Further increase the positioning accuracy of device；
(3) present invention uses the SDSTWR based on CSS using multinode locating module by setting location control server
Algorithm carries out target positioning, and Kalman filter is combined to improve positioning accuracy, is used using post processing of image module and is based on drawing
The algorithm for image enhancement of general Laplacian operater carries out enhancing optimization to acquired image, and then effectively improves the resolution to image
Rate；Multiple wireless acquisition terminals are controlled with location control server, can effectively save management resource, and realize essence
Certainly position carries out repair and maintenance to instrument in time.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention；
Fig. 2 is that positioning mechanism structural schematic diagram is imaged in compound eye；
Fig. 3 is wireless communication range finder module structural schematic diagram.
Figure label：
1- wireless acquisition terminal；2- location control server；3- low current fault positioning mechanism；Localization machine is imaged in 4- compound eye
Structure；5- wirelessly communicates range finder module；
201- web data server；202- multinode locating module；203- post processing of image module；
301- voltage-current sensor；302- wide area phasor synchronous measurement circuit；303- embedded controller；304- bis- times
Zero sequence PT/CT circuit；305- signal conditioning circuit；306- filtering shaping circuit；
401- compound eye spherical shell substrate；The sub- eyelens of 402-；403- turns back lens；404- rotation adjustment pedestal；405- image
Sensor module；The photosensitive compound eye channel 406-；
501- ranging register；502- radio frequency conversion module；503- dual-mode antenna.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention provides a kind of fault locators for testing industrial measurement and control instrument, including for being distributed
It is mounted on the wireless acquisition terminal 1 of each measuring control point and the location control server 2 for being fixedly mounted at monitoring center, institute
It states location control server 2 and multiple wireless acquisition terminals 1 forms stelliform connection topology configuration, and signal biography is carried out by wireless network
It is defeated；The wireless acquisition terminal 1 can detect the not same phase on the position of multiple measure and control instruments with distributing installation, and
The information detected is transmitted to location control server 2 and carries out unified monitoring and regulation.
The wireless acquisition terminal 1 includes the low current fault localization machine for carrying out the detection of the electrical property in instrument circuit
Positioning mechanism 4 is imaged in structure 3 and compound eye for carrying out vision positioning monitoring；The fault location mechanism 3 is positioned with compound eye imaging
The communication port of mechanism 4 is connected with the wireless communication range finder module 5 for transmitting/receiving wireless signal；The low current fault localization machine
Structure 3 is separately connected the operating current of each instrument, and the working condition for detecting current circuit judges whether fault occur, and answers
Eye imaging positioning mechanism 4 then shows that the working environment progress real time imagery monitoring of situation and surrounding is fixed to current instrument and meter
Position, range finder module 5 is transmitted to location control server 2 to collected information by wireless communication.
The low current fault positioning mechanism 3 includes the voltage-current sensor 301 that circuit is accessed by detection resistance, institute
The output end for stating voltage-current sensor 301 is connected with wide area phasor synchronous measurement circuit 302, the wide area phasor synchro measure
Circuit 302 is connected with the embedded controller 303 for carrying out signal acquisition measurement analysis, the embedded controller 303
The port USART is connected with wireless communication range finder module 5.
The wide area phasor synchronous measurement circuit 302 includes believing for 301 amplitude of collection voltages current sensor and phase
The secondary zero sequence PT/CT circuit 304 of breath, the secondary 304 output voltage current signal of zero sequence PT/CT circuit are connected to signal tune
Circuit 305 is managed, the signal after the output conditioning of the signal conditioning circuit 305 to filtering shaping circuit 306, the filter shape
The analog signal output of circuit 306 is connected with the analog-digital converter interface of embedded controller 303.
When carrying out fault positioning, by the single-phase access operating circuit of voltage-current sensor 301, acquisition is current
Then the Current Voltage amplitude information of device inputs secondary zero sequence PT/CT circuit 304, it should be added that, CT refers to electricity
Current transformer, PT are voltage transformers, and the two provides input data for secondary device such as protection, instrument, automatic control, secondary to set
It is standby that comprehensive analysis, processing are carried out as device action, the foundation of display, adjustment, secondary zero sequence PT/CT circuit according to input data
Residual voltage and each branch node zero-sequence current AC signal are transformed to the signal within ± 5V by 304, then using signal
Conditioning circuit 305 and filtering shaping circuit 306 control signal amplitude within 0~3.3V, consequently facilitating embedded controller
303 carry out sampling operation.
It should be added that the embedded controller 303 uses STM32 microcontroller, and it is connected in piece
STM32 on-chip timer TIM2 is set input capture mode by timer, captures mains frequency for real-time tracking, passes through
After bandpass filtering, shaping circuit, power grid AC signal becomes capture input signal of the square-wave signal as timer, in conjunction with
The integrality of FFT sampling algorithm guarantee sampled data.
As shown in Fig. 2, the compound eye imaging positioning mechanism 4 includes the compound eye spherical shell for entire imaging mechanism to be fixedly mounted
Substrate 401, the compound eye spherical shell substrate 401 in back-off hemispherical dome structure, inlay at equal intervals by the upper surface of compound eye spherical shell substrate 401
There is the sub- eyelens 402 for setting a part of regional aim imaging in visual field, is equipped with and is used for below compound eye spherical shell substrate 401
Optimize the lens 403 of turning back of sub- eyelens incident ray, the lower section for turning back lens 403 is equipped with for fixing compound eye spherical shell
The rotation of substrate 401 adjusts pedestal 404, is equipped on the rotation adjustment pedestal 404 for carrying out photosensitive and imaging image
The USB interface of sensor module 405, described image sensor module 405 is connected with wireless communication range finder module 5.
Each sub- eyelens 402 is in class hexagonal configuration, and the lower surface of every sub- eyelens 402 is corresponding with band
Numbered stair-stepping photosensitive compound eye channel 406, the photosensitive compound eye channel 406 is at equal intervals in 401 table of compound eye spherical shell substrate
EDS maps.
Preferably, compound eye spherical shell substrate 401 plays in entire compound eye system important as the substrate that lens are installed
Effect, it directly decides the shape of compound eye, and then controls the size and imaging mode of compound eye field angle；According to selected
The requirement of image sensor module 405, sub- eyelens 402 and field angle, outer radius is respectively in entire compound eye spherical shell substrate 401
It is used to process the photosensitive compound eye channel 406 for placing sub- eyelens 402 with shell thickness therein.
Every sub- eyelens 402 is responsible for the imaging of a part of regional aim in setting visual field, and lens 403 of turning back are used to optimize
Light in all visual fields Jing Guo sub- eyelens incidence, image sensor module 405 is by each sub- eyelens 402 and lens of turning back
After 403 optical signals being collected into are changed into electric signal, signal acquisition is responsible for by the circuit board of Image Acquisition driving and data transmission
And data high-speed is transmitted to machine and shown, store and process.
The image processing algorithm of described image sensor module 405 includes the following steps：Image binaryzation, imaging sensor
The collected optical signal of sub- eyelens 402 is converted into electric signal by module 405, and is installed gray level image and carried out at threshold value
Reason conversion, is converted into two-value data for acquired image signal using global binarization method；Image filtering is filtered using mean value
Smooth template in wave device carries out convolution to image, and the method for combining wavelet de-noising eliminates various picture noises, extracts image
Key message；Image segmentation, it is using the image partition method based on genetic algorithm that whole image region segmentation is non-at several
Gap region, and label is scanned to each region, it acquires each target and connects region and boundary, and corresponding position image pixel
Coordinate value preserves, in favor of subsequent image processing；It is non-linear to establish angle hot spot centre coordinate for Facula Center Location
Relationship realizes that the accurate extraction to image is imaged.
As shown in figure 3, the wireless communication range finder module 5 includes using the ranging based on symmetrical two-way bilateral location algorithm
The SPI interface of register 501, the ranging register 501 is connected with 303 port of embedded controller, ranging register 501
Output end be connected with the radio frequency conversion module 502 for digital electric signal to be converted into radiofrequency signal, the radio frequency modulus of conversion
The sending and receiving end of block 502 is equipped with dual-mode antenna 503.
The ranging register 501 obtains terrestrial coordinate system by the GPS locator being connected with embedded controller 303
Under latitude and longitude information, and time by obtaining transmitted in both directions, and then obtain nodal distance, will be with this obtaining of calculating
Range information passes through radio frequency conversion module 502 with the fault point information of aforementioned generation, collected image-forming information and is modulated
It is converted into radiofrequency signal, then is launched by dual-mode antenna 503.
The location control server 2 includes for receiving the network data clothes from wireless communication 5 signal of range finder module
Business device 201, the web data server 201 are built-in with the multinode locating module 202 for carrying out distance exam and are used for
Carry out the post processing of image module 203 of imaging identifying processing；The location control server 2 is received by receiver from transmitting-receiving
The data-signal of antenna 503, and carry out demodulation be reduced into digital signal after, by different signals be sent to different modules into
The subsequent processing operation of row.
The location algorithm of the multinode locating module 202 includes the following steps：Distance is thick fixed, from wireless communication ranging mould
Block 5 transmits the relative distance information of the wireless acquisition terminal 1 and unknown failure point read in data, using based on CSS's
The distance between SDSTWR algorithm measurement beaconing nodes and nodes of locations value；Coordinates computed, it is rough according to obtained in step 101
Distance value calculates the coordinate information of unknown failure point using three side centroid localization algorithms；Filtering clutter establishes Kalman filter
Obtained coordinate information is carried out denoising optimization by model, obtains optimal positioning position information.
The framing algorithm steps of described image post-processing module 203 are as follows：Orientation parameter resolves, post processing of image mould
Block 203 transmits the imaging data that compound eye imaging positioning mechanism 4 is read in signal from wireless communication range finder module 5, and utilizes linear
The R-D model of change is oriented parameter calculation to image information；Image enhancement uses while being oriented parameter calculation
Enhancing optimization is carried out to acquired image based on the algorithm for image enhancement of Laplace operator；Three-dimensional coordinate calculates, and will orient
Parameter calculation and enhanced image information carry out homotopy mapping, and three-dimensional coordinate information is calculated, and establish three-dimensional vertical
The location information model of body.
The accurate coordinate dot position information that location control server 2 generates multinode locating module 202 with after image
After managing the image information integration that module 203 generates, the specific fault message at position of failure point is obtained, to provide corresponding solution
Certainly scheme is overhauled with most fast speed and optimal scheme schedules maintenance personal, and the working condition to guarantee device is normal.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
Claims (7)
1. a kind of fault locator for testing industrial measurement and control instrument, it is characterised in that：Including being used for distributing installation in each survey
Control the wireless acquisition terminal (1) of point and the location control server (2) for being fixedly mounted at monitoring center, the positioning control
Control server (2) and multiple wireless acquisition terminals (1) form stelliform connection topology configuration, and carry out signal transmission by wireless network；
The wireless acquisition terminal (1) includes the low current fault positioning mechanism for carrying out the detection of the electrical property in instrument circuit
(3) positioning mechanism (4) are imaged in the compound eye and for carrying out vision positioning monitoring；The fault location mechanism (3) and compound eye are imaged
The communication port of positioning mechanism (4) is connected with the wireless communication range finder module (5) for transmitting/receiving wireless signal；
The low current fault positioning mechanism (3) includes the voltage-current sensor (301) that circuit is accessed by detection resistance, institute
The output end for stating voltage-current sensor (301) is connected with wide area phasor synchronous measurement circuit (302), and the wide area phasor is synchronous
Measuring circuit (302) is connected with the embedded controller (303) for carrying out signal acquisition measurement analysis, the embedded Control
The port USART of device (303) is connected with wireless communication range finder module (5)；
Compound eye imaging positioning mechanism (4) includes the compound eye spherical shell substrate (401) for entire imaging mechanism to be fixedly mounted, institute
Compound eye spherical shell substrate (401) is stated in back-off hemispherical dome structure, the upper surface of compound eye spherical shell substrate (401) is inlaid at equal intervals to be used for
The sub- eyelens (402) of a part of regional aim imaging in visual field is set, is equipped with below compound eye spherical shell substrate (401) for excellent
The lens of turning back (403) of beggar's eyelens (402) incident ray are equipped with for fixing below the lens of turning back (403)
The rotation of compound eye spherical shell substrate (401) adjusts pedestal (404), is equipped on rotation adjustment pedestal (404) for being felt
Light and the image sensor module of imaging (405), the USB interface of described image sensor module (405) and wireless communication ranging
Module (5) is connected；
Wireless communication range finder module (5) includes using the ranging register (501) based on symmetrical two-way bilateral location algorithm,
The SPI interface of the ranging register (501) is connected with embedded controller (303) port, ranging register (501) it is defeated
Outlet is connected with the radio frequency conversion module (502) for digital electric signal to be converted into radiofrequency signal, the radio frequency conversion module
(502) sending and receiving end is equipped with dual-mode antenna (503).
2. a kind of fault locator for testing industrial measurement and control instrument according to claim 1, it is characterised in that：It is described fixed
Position control server (2) includes coming from the web data server (201) for wirelessly communicating range finder module (5) signal for receiving,
The web data server (201) is built-in with multinode locating module (202) for carrying out distance exam and for carrying out
The post processing of image module (203) of identifying processing is imaged.
3. a kind of fault locator for testing industrial measurement and control instrument according to claim 2, it is characterised in that：It is described more
The location algorithm of node locating module (202) includes the following steps：
Step 101：Distance is thick fixed, transmits the wireless acquisition terminal (1) read in data from wireless communication range finder module (5)
With the relative distance information of unknown failure point, using the SDSTWR algorithm measurement beaconing nodes based on CSS and between nodes of locations
Distance value；
Step 102：Coordinates computed, the rough distance value according to obtained in step 101 are calculated not using three side centroid localization algorithms
Know the coordinate information of fault point；
Step 103：Filtering clutter establishes kalman filter models for obtained coordinate information and carries out denoising optimization, obtains most
Excellent positioning position information.
4. a kind of fault locator for testing industrial measurement and control instrument according to claim 2, it is characterised in that：The figure
As the framing algorithm steps of post-processing module (203) are as follows：
Step 201：Orientation parameter resolves, and post processing of image module (203) is read from wireless communication range finder module (5) transmission signal
The imaging data of compound eye imaging positioning mechanism (4) is taken, and parametric solution is oriented to image information using the R-D model of linearisation
It calculates；
Step 202：Image enhancement, while being oriented parameter calculation, using the image enhancement based on Laplace operator
Algorithm carries out enhancing optimization to acquired image；
Step 203：Three-dimensional coordinate calculates, and orientation parameter is resolved and carries out homotopy mapping with enhanced image information, calculates
Three-dimensional coordinate information is obtained, and establishes the location information model of 3 D stereo.
5. a kind of fault locator for testing industrial measurement and control instrument according to claim 1, it is characterised in that：It is described wide
Domain phasor synchronous measurement circuit (302) includes secondary zero for collection voltages current sensor (301) amplitude and phase information
Sequence PT/CT circuit (304), secondary zero sequence PT/CT circuit (304) the output voltage current signal are connected to signal conditioning circuit
(305), the signal after the output conditioning of the signal conditioning circuit (305) is to filtering shaping circuit (306), the filter shape
The analog signal output of circuit (306) is connected with the analog-digital converter interface of embedded controller (303).
6. a kind of fault locator for testing industrial measurement and control instrument according to claim 1, it is characterised in that：The son
Each eyelens (402) is in class hexagonal configuration, and the lower surface of every sub- eyelens (402) is corresponding with numbered rank
The photosensitive compound eye channel (406) of scalariform, the photosensitive compound eye channel (406) is at equal intervals on compound eye spherical shell substrate (401) surface point
Cloth.
7. a kind of fault locator for testing industrial measurement and control instrument according to claim 1, it is characterised in that：The figure
As the image processing algorithm of sensor module (405) includes the following steps：
Step 301：Sub- eyelens (402) collected optical signal is converted by image binaryzation, image sensor module (405)
Electric signal, and gray level image is installed and carries out threshold process conversion, using global binarization method by acquired image
Signal is converted into two-value data；
Step 302：Image filtering carries out convolution to image using the smooth template in mean filter, and combines wavelet de-noising
Method eliminate various picture noises, extract image key message；
Step 303：Image segmentation, using the image partition method based on genetic algorithm by whole image region segmentation at several
Non-empty subregion, and label is scanned to each region, it acquires each target and connects region and boundary, and corresponding position image slices
Plain coordinate value preserves, in favor of subsequent image processing；
Step 304：Facula Center Location establishes angle hot spot centre coordinate non-linear relation, realizes the accurate extraction to image
Imaging.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114966319A (en) * | 2022-05-26 | 2022-08-30 | 王华丽 | Fault positioning device and positioning method for electric power instrument detection |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102023045A (en) * | 2010-10-18 | 2011-04-20 | 中国矿业大学(北京) | Non-contact photoelectric measurement method and device for bunker coal position |
| CN103777609A (en) * | 2014-01-24 | 2014-05-07 | 南京理工大学 | Embedded intelligent monitoring and remote maintenance system of powder forming machine |
| CN104793335A (en) * | 2015-02-16 | 2015-07-22 | 杭州清渠科技有限公司 | Imaging device and method based on difference compound eye lens |
| CN105578003A (en) * | 2015-12-17 | 2016-05-11 | 沈阳理工大学 | Multichannel large-visual-angle bionic compound eye imaging detection apparatus |
| CN106226732A (en) * | 2016-07-08 | 2016-12-14 | 西安电子科技大学 | The indoor wireless positioning and tracing method filtered without mark based on TOF and iteration |
| CN205899784U (en) * | 2016-07-01 | 2017-01-18 | 深圳华盛创力科技有限公司 | Wireless monitoring system of thermal power factory |
| CN106842117A (en) * | 2016-12-16 | 2017-06-13 | 中国电子科技集团公司第五十四研究所 | A kind of asynchronous MANET alignment system and localization method based on two-way precise distance measurement |
-
2018
- 2018-06-28 CN CN201810691500.2A patent/CN108919092A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102023045A (en) * | 2010-10-18 | 2011-04-20 | 中国矿业大学(北京) | Non-contact photoelectric measurement method and device for bunker coal position |
| CN103777609A (en) * | 2014-01-24 | 2014-05-07 | 南京理工大学 | Embedded intelligent monitoring and remote maintenance system of powder forming machine |
| CN104793335A (en) * | 2015-02-16 | 2015-07-22 | 杭州清渠科技有限公司 | Imaging device and method based on difference compound eye lens |
| CN105578003A (en) * | 2015-12-17 | 2016-05-11 | 沈阳理工大学 | Multichannel large-visual-angle bionic compound eye imaging detection apparatus |
| CN205899784U (en) * | 2016-07-01 | 2017-01-18 | 深圳华盛创力科技有限公司 | Wireless monitoring system of thermal power factory |
| CN106226732A (en) * | 2016-07-08 | 2016-12-14 | 西安电子科技大学 | The indoor wireless positioning and tracing method filtered without mark based on TOF and iteration |
| CN106842117A (en) * | 2016-12-16 | 2017-06-13 | 中国电子科技集团公司第五十四研究所 | A kind of asynchronous MANET alignment system and localization method based on two-way precise distance measurement |
Non-Patent Citations (2)
| Title |
|---|
| 张永健: "《电网监控与调度自动化》", 28 February 2007, 中国电力出版社 * |
| 靳国旺 等: "《雷达摄影测量》", 30 April 2015, 北京：测绘出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114966319A (en) * | 2022-05-26 | 2022-08-30 | 王华丽 | Fault positioning device and positioning method for electric power instrument detection |
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