CN109687576B - Visual discrimination inspection method for states of power equipment of converter station - Google Patents
Visual discrimination inspection method for states of power equipment of converter station Download PDFInfo
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- CN109687576B CN109687576B CN201811480593.0A CN201811480593A CN109687576B CN 109687576 B CN109687576 B CN 109687576B CN 201811480593 A CN201811480593 A CN 201811480593A CN 109687576 B CN109687576 B CN 109687576B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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Abstract
The invention relates to a visual discrimination and inspection method for the state of power equipment of a converter station, and provides a mobile terminal and a visual discrimination system, which comprise the following steps: the method comprises the following steps of inputting the operation working condition of the power equipment, the operation parameters and the positions of a screen cabinet PLC and a relay indicator lamp into a visual screening system, and calculating to obtain the on-off condition of the indicator lamp in the screen cabinet under the current working condition; processing the obtained field picture data of the indicating lamp by a visible discrimination system to obtain the actual on-off condition of the indicating lamp of the current screen cabinet; the visual discrimination system judges whether the indicator lamp is abnormal or not according to the on-off condition of the indicator lamp in the cabinet under the current working condition and the actual on-off condition of the indicator lamp of the cabinet at present, and outputs a discrimination result. The invention uses the optimized image recognition algorithm to recognize the indicator lights and quickly judge whether each indicator light is abnormal or not, thereby discovering early hidden dangers of equipment in time and ensuring the system safety.
Description
Technical Field
The invention relates to a visual discrimination inspection method for the state of power equipment of a converter station.
Background
When the converter valve operates, a large amount of heat is generated, and a special valve cooling system is needed for heat dissipation. Converter valves also have high requirements on the operating environment and require dedicated heating and ventilation systems to maintain constant temperature, humidity and pressure in the valve hall. The heating and ventilation system failure can cause the environment of the valve hall to deteriorate, and the safety of the converter valve is endangered; whereas a critical failure of the valve cooling system may trip the outlet. Therefore, operation and maintenance personnel pay more attention to the running state of the power equipment in daily inspection, and find and eliminate hidden equipment troubles in time.
The power equipment of the flexible direct current converter station uses a large number of PLCs and relays, and the display conditions of the indicating lamps under different running states of the equipment are different, so that the states of the indicating lamps cannot be visually embodied in modes such as red points and labels, and the correct states of the indicating lamps on the PLCs and the relays can be analyzed and inferred only according to the running conditions of the current equipment. Therefore, in general, the operation and maintenance personnel can only find the equipment abnormality through the message of the fault list.
Disclosure of Invention
In view of the above, the present invention provides a visual discrimination inspection method for the equipment state of a power equipment in a converter station, which uses an optimized image recognition algorithm to identify indicator lamps, quickly determine whether each indicator lamp is abnormal, find early hidden dangers of the equipment in time, and ensure system safety.
In order to achieve the purpose, the invention adopts the following technical scheme:
a visual discrimination inspection tour method for the state of power equipment of a converter station provides a mobile terminal and a visual discrimination system, and comprises the following steps:
step S1, recording the operation working condition of the equipment, the equipment information, the screen cabinet to which the equipment belongs, the operation parameters of the indicator lamps in the screen cabinet, the positions of the indicator lamps and the on-off conditions of the indicator lamps in the screen cabinet under each operation working condition into a visual discrimination system;
step S2, the mobile terminal collects the current operation condition of the equipment to be patrolled and transmits the current operation condition to the visible discrimination system;
step S3: the visual discrimination system obtains standard on-off conditions of the indicator lamps in the screen cabinet to which the equipment to be patrolled belongs according to the current operating condition of the equipment to be patrolled and the on-off conditions of the indicator lamps in the screen cabinet under each operating condition;
step S4, the mobile terminal collects the current picture data of the indicator lamp of the screen cabinet of the equipment to be patrolled and transmits the current picture data to the visual discrimination system;
step S5, processing the current picture data of the indicator lamp by a visual discrimination system to obtain the actual on-off condition of the indicator lamp in the screen cabinet of the equipment to be patrolled;
and step S6, judging whether the indicator lamp is abnormal or not by the visual discrimination system according to the standard on-off condition of the indicator lamp in the screen cabinet and the actual on-off condition of the indicator lamp in the screen cabinet, and outputting a judgment result.
Further, the step S5 is specifically:
step S51, sequentially carrying out filtering, denoising and image graying on the current picture data of the indicator lamp to obtain processed picture data;
s52, acquiring four corners of the processed picture data and drawing a quadrilateral outline; cutting the picture according to the drawn outline to obtain drawn picture data;
step S53, performing binarization processing on the drawn picture data to obtain binarized picture data;
and step S54, reading the coordinates of the indicator light in the binarized picture data, and calculating the actual on-off condition of the indicator light in the screen cabinet of the equipment to be patrolled according to the coordinate values.
Further, in step S54, reading the coordinates of the indicator light in the binarized picture data specifically includes:
step S541, identifying dots in the binarized picture data, reading center coordinates of the dots, and setting the distance standard value of the same row of indicator lamps in the screen cabinet as d, so that the coordinates of the dots are effective when the distance between the two dots is integral multiple of d;
step S542, reading the first dot coordinate of the first row, saving the coordinate, and setting the coordinate as the coordinate reference point of the indicator light of the first row;
step S543, reading the next dot coordinate in the row, and judging whether the difference between the Y-axis coordinate of the dot and the Y-axis coordinate of the reference dot is smaller than a threshold value; if the dot number is smaller than the threshold value, the next dot and the reference dot are in the same row, the step S544 is entered, otherwise, the coordinate of the next dot is saved and set as the coordinate reference point of the indicator light in the next row, and the step S542 is returned;
step S544, calculating the distance between the next dot and the reference dot in the X-axis direction;
step S545, judging whether the distance is an integral multiple of d; if the d is an integral multiple of d, the dot coordinate is valid, the coordinate is stored, and the dot coordinate is set as a coordinate reference point; otherwise, the origin coordinate is invalid;
and step S546, continuously acquiring the next dot coordinate until the distance judgment of all adjacent dot coordinates is finished.
The beneficial effects are that: the method filters a large amount of interference data, such as a large-area white area or a circular area formed by reflection, effectively reduces the calculation amount, and realizes the rapid judgment of the coordinates of the indicator lamp. The method is suitable for single-machine operation at the mobile terminal, and meets the application scene requirements that only single-machine operation can be performed and networking cannot be performed at a convertor station and the like.
Further, in step S52, cutting the picture according to the drawn contour specifically includes: judging whether the quadrangle is rectangular, if so, cutting the picture along the rectangular outline; if not, stretching the quadrangle into a rectangle, zooming to a preset size, and shearing the picture along the outline.
Further, the visual screening system comprises a data acquisition unit, a data analysis processing unit and a communication unit; and the data analysis processing unit is respectively connected with the data acquisition unit and the communication unit.
Further, a screen cabinet ID is established, the screen cabinet ID, the equipment information displayed in the screen cabinet, the operation conditions of each equipment in the screen cabinet, the indicator lamp operation parameters of each operation condition and the indicator lamp coordinate information are in one-to-one correspondence and are recorded, and the on-off condition of the indicator lamp in the screen cabinet under each operation condition is obtained.
Compared with the prior art, the invention has the following beneficial effects:
the invention can automatically calculate the actual condition of the indicator lamps in each screen cabinet according to the current operation condition of the equipment to be patrolled, and identify the indicator lamps by using an optimized image identification algorithm according to the field image acquired by the mobile terminal to quickly judge whether the indicator lamps are abnormal or not, thereby timely finding the early hidden danger of the equipment and ensuring the safety of the power equipment.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a flowchart of a dot coordinate detection algorithm in an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
Referring to fig. 1, the invention provides a visual discrimination and inspection method for states of power equipment of a converter station, and provides a mobile terminal and a visual discrimination system, which include the following steps:
step S1, recording the operation working condition of the equipment, the equipment information, the screen cabinet to which the equipment belongs, the operation parameters of the indicating lamps in the screen cabinet, the positions of the indicating lamps and the on-off conditions of the indicating lamps in the screen cabinet under each operation working condition into a visual discrimination system;
step S2, collecting the current operation condition of the equipment to be patrolled;
step S3: the visual discrimination system obtains standard on-off conditions of the indicator lamps in the screen cabinet to which the equipment to be patrolled belongs according to the current operating condition of the equipment to be patrolled and the on-off conditions of the indicator lamps in the screen cabinet under each operating condition;
step S4, acquiring current picture data of an indicator lamp of a screen cabinet of the equipment to be patrolled and transmitting the current picture data to a visual discrimination system;
step S5, processing the current picture data of the indicator lamp by a visual discrimination system to obtain the actual on-off condition of the indicator lamp in the screen cabinet of the equipment to be patrolled;
and step S6, judging whether the indicator lamp is abnormal according to the standard on-off condition of the indicator lamp in the screen cabinet and the actual on-off condition of the indicator lamp in the screen cabinet, and outputting a judgment result.
Further, the step S5 is specifically:
step S51, sequentially carrying out filtering, denoising and image graying on the current picture data of the indicator lamp to obtain processed picture data;
s52, acquiring four corners of the processed picture data and drawing a quadrilateral outline; cutting the picture according to the drawn outline to obtain drawn picture data;
step S53, performing binarization processing on the drawn picture data to obtain binarized picture data;
and step S54, reading the coordinates of the indicator light in the binarized picture data, and calculating the actual on-off condition of the indicator light in the screen cabinet of the equipment to be patrolled according to the coordinate values.
In this embodiment, the step S54 of reading the coordinates of the indicator light in the binarized picture data specifically includes:
step S541, identifying dots in the binarized picture data, reading center coordinates of the dots, and setting the distance standard value of the same row of indicator lamps in the screen cabinet as d, so that the coordinates of the dots are effective when the distance between the two dots is integral multiple of d;
step S542, reading the first dot coordinate of the first row, saving the coordinate, and setting the coordinate as the coordinate reference point of the first row indicator light;
step S543, reading the next dot coordinate in the row, and judging whether the difference between the Y-axis coordinate of the dot and the Y-axis coordinate of the reference dot is smaller than a threshold value; if the dot number is smaller than the threshold value, the next dot and the reference dot are in the same row, the step S544 is entered, otherwise, the coordinate of the next dot is saved and set as the coordinate reference point of the indicator light in the next row, and the step S542 is returned;
step S544, calculating the distance between the next dot and the reference dot in the X-axis direction;
step S545, judging whether the distance is an integral multiple of d; if the d is an integral multiple of d, the dot coordinate is valid, the coordinate is stored, and the dot coordinate is set as a coordinate reference point; otherwise, the origin coordinate is invalid;
and step S546, continuously acquiring the next dot coordinate until the distance judgment of all adjacent dot coordinates is finished.
In this embodiment, in step S52, the cropping a picture according to a drawn outline specifically includes: judging whether the quadrangle is rectangular, if so, cutting the picture along the rectangular outline; if not, stretching the quadrangle into a rectangle, zooming the rectangle to a preset size, and shearing the picture along the outline.
In this embodiment, a screen cabinet ID is established, and the screen cabinet ID, the device information displayed in the screen cabinet, the operation conditions of each device in the screen cabinet, the indicator lamp operation parameters of each operation condition, and the indicator lamp coordinate information are one-to-one corresponded and recorded, so as to obtain the on-off condition of the indicator lamp in the screen cabinet under each operation condition.
In this embodiment, the visual screening system includes a data acquisition unit, a data analysis processing unit, and a communication unit; and the data analysis processing unit is respectively connected with the data acquisition unit and the communication unit. The system can automatically calculate the actual conditions of the indicating lamps in each screen cabinet as long as operation and maintenance personnel input the state of the equipment according to the field conditions, and the indicating lamps are identified and rapidly judged through an optimized image identification algorithm according to image data collected by the mobile terminal, so that whether the indicating lamps are abnormal or not is judged, early hidden dangers of the equipment are found in time, and the safety of the power equipment is ensured. The system can generate a schematic diagram of the screen cabinet indicating lamps according to the equipment state input by operation and maintenance personnel for supplement and judgment.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (2)
1. The visual discrimination and inspection tour method for the states of the power equipment of the converter station is characterized by providing a mobile terminal and a visual discrimination system, and comprises the following steps:
step S1, recording the operation working condition of the equipment, the equipment information, the screen cabinet to which the equipment belongs, the operation parameters of the indicating lamps in the screen cabinet, the positions of the indicating lamps and the on-off conditions of the indicating lamps in the screen cabinet under each operation working condition into a visual discrimination system;
step S2, the mobile terminal collects the current operation condition of the equipment to be patrolled and transmits the current operation condition to the visible discrimination system;
step S3: the visual discrimination system obtains standard on-off conditions of the indicator lamps in the screen cabinet to which the equipment to be patrolled belongs according to the current operating condition of the equipment to be patrolled and the on-off conditions of the indicator lamps in the screen cabinet under each operating condition;
step S4, the mobile terminal collects the current picture data of the indicator lamp of the screen cabinet of the equipment to be patrolled and transmits the current picture data to the visual discrimination system;
step S5, processing the current picture data of the indicator lamp by a visual discrimination system to obtain the actual on-off condition of the indicator lamp in the screen cabinet of the equipment to be patrolled;
step S6, judging whether the indicator lamp is abnormal or not by the visual discrimination system according to the standard on-off condition of the indicator lamp in the screen cabinet and the actual on-off condition of the indicator lamp in the screen cabinet, and outputting a judgment result;
the step S5 specifically includes:
step S51, sequentially carrying out filtering, denoising and image graying on the current picture data of the indicator lamp to obtain processed picture data;
step S52, four corners of the processed picture data are obtained, and a quadrilateral outline is drawn; cutting the picture according to the drawn outline to obtain drawn picture data;
step S53, performing binarization processing on the drawn picture data to obtain binarized picture data;
step S54, reading the coordinates of the indicator light in the binary image data, and calculating the actual on-off condition of the indicator light in the screen cabinet of the equipment to be patrolled according to the coordinate values;
the step S54 of reading the coordinates of the indicator light in the binarized picture data specifically includes:
step S541, identifying dots in the binaryzation picture data, reading center coordinates of the dots, and setting a distance between indicator lamps in the same row in the screen cabinet to be d from a standard value, so that the coordinates of the dots are effective when the distance between the two dots is integral multiple of d;
step S542, reading the first dot coordinate of the first row, saving the coordinate, and setting the coordinate as the coordinate reference point of the indicator light of the first row;
step S543, reading the next dot coordinate of the line, and judging whether the difference between the Y-axis coordinate of the dot and the Y-axis coordinate of the coordinate reference point of the indicating lamp is smaller than a threshold value; if the dot number is smaller than the threshold value, the next dot number is in the same row with the indicator lamp coordinate reference point, the step S544 is entered, otherwise, the next dot number is saved and set as the indicator lamp coordinate reference point in the next row, and the step S542 is returned;
step S544, calculating the distance between the next dot and the coordinate reference point of the indicator lamp in the X-axis direction;
step S545, judging whether the distance is an integral multiple of d; if the d is an integral multiple of d, the dot coordinate is effective, the coordinate is stored, and the dot coordinate is set as an indicator lamp coordinate reference point; otherwise the dot coordinate is invalid;
and step S546, continuously acquiring the next dot coordinate until the distance judgment of all adjacent dot coordinates is completed.
2. The method for visually discriminating and patrolling the state of the electric power equipment according to claim 1, wherein the step S52 of cutting out the picture according to the drawn outline specifically includes: judging whether the quadrangle is rectangular, if so, cutting the picture along the rectangular outline; if not, stretching the quadrangle into a rectangle, zooming to a preset size, and shearing the picture along the outline.
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