CN112668516B - Automatic point-to-point acceptance checking method for alarm window of power dispatching system - Google Patents
Automatic point-to-point acceptance checking method for alarm window of power dispatching system Download PDFInfo
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Abstract
The invention discloses an automatic point-to-point acceptance checking method for an alarm window of a power dispatching system, which comprises the following steps: the method comprises the steps of performing screenshot on a real-time alarm window of a power dispatching system; preprocessing the alarm window screenshot to obtain a lower half column window image of the point signal; recognizing the lower half column window image of the warning window, and recognizing the text information of each row of the warning window; judging whether the information which is the same as or different from the signal to be point-pointed exists in the character recognition result of the lower half column image of the alarm window, if so, the signal is point-pointed correctly, otherwise, the signal is point-pointed failed. The automatic checking and accepting method for the alarm window can reduce the burden of workers, improve the checking and accepting work efficiency and improve the correctness of the association of the points and the pictures.
Description
Technical Field
The invention belongs to the technical field of point-to-point acceptance of power dispatching systems, and particularly relates to an automatic point-to-point acceptance method for an alarm window of a power dispatching system.
Background
With the continuous popularization of unattended substations, whether each stage of dispatching center can accurately monitor the managed substations in real time is a premise of safe and stable operation of a power grid, remote transmission area point table information of a dispatching master station and a station end needs to be checked, and the instantaneity of signals and the consistency of data are verified, so that the dispatching center can accurately monitor the substations.
The signal point-to-point and acceptance of the power dispatching system main station side basically adopts a manual verification mode. In the mode, a dispatching master station worker manually checks signal information in a real-time alarm window of a dispatching master station system while contacting a transformer substation side through telephone. The mode brings great workload to dispatching staff, has low efficiency, is easy to generate omission and has hidden trouble for safe burying of the power grid.
Therefore, a more intelligent, efficient and safer master station side alarm window point checking and accepting method needs to be researched, the burden of workers is reduced, the alarm window point checking and accepting work efficiency is improved, and the accuracy of point and picture association is improved.
Disclosure of Invention
The invention aims to solve the technical problems that: an automatic point-to-point acceptance checking method for an alarm window of a power dispatching system is provided, so that the problems in the prior art are solved.
The technical scheme adopted by the invention is as follows: an automatic point-to-point acceptance method for an alarm window of a power dispatching system comprises the following steps:
Step 1, a real-time alarm window of a power dispatching system is subjected to screenshot;
Step 2, preprocessing the alarm window screenshot, cutting and extracting a lower half-column window image of a real-time refreshing point signal in the alarm window screenshot;
Step 3, recognizing a lower half column window image of the alarm window by adopting text recognition of tesseract, and recognizing text information of each row (each signal) of the alarm window, wherein the text information comprises a signal confirmation state, a signal generation time, a transformer substation name, a signal action description and a signal text color (alarm grade);
Step 4, inquiring whether information identical with the description of the signal to be subjected to the point exists in the character recognition result of the lower half column image of the alarm window: if the identification result has the same information as the signal to be point-to-point, the signal is point-to-point correct; if the identification result is different from the signal to be subjected to the point-to-point (the name of the transformer substation, the name of the signal and the description of the signal action are different), the signal fails to be subjected to the point-to-point.
The point-to-point signals are sent out by the station end according to the point-to-be-detected table sequentially in a fixed period, and the automatic point-to-point checking and accepting method of the alarm window sequentially carries out point-to-point checking and accepting according to the point-to-be-point table.
The screenshot of the alarm window in the step 1 is realized through a simulated mouse, the operation of the mouse is automatically controlled to realize the screenshot of the alarm window, and the screenshot is stored in a regular naming mode (point number, action description and screenshot time) so as to be convenient for later calling and checking.
The alarm window checks the alarm information checked by the point inspection and the acceptance to obtain the transformer substation name, the signal action description and the signal character color of the signal, the transformer substation name and the signal name of the alarm window signal are obtained from the transformer station table information known by the dispatching system, and the action description and the character color of the alarm window signal are obtained from an alarm window configuration description file WCD in an XML format.
The action description and character color characteristics of an alarm window of a dispatching master station system are combed to form an alarm window configuration description file WCD (alarm window configuration description file Warn Configuration Description) in an XML format, the action description of alarm window signals is divided into a remote signaling value 0 description and a remote signaling value 1 description, the remote signaling value 0 description in the alarm window configuration description file WCD is set as a switching-off state and a resetting state, the remote signaling value 1 description is set as a switching-on state and an action state, signal alarm levels are classified into accidents, abnormal states, notification, out-of-limit states and deflection states, the colors of the signal characters in the alarm window are related, and RGB color parameters are set in the alarm window configuration description file WCD to represent different signal alarm levels.
The signal text in the alarm window and the color recognition method thereof are as follows:
Step 1), reading a desktop screenshot file applied by a power dispatching system, calling cvtColor functions in an OpenCV to convert a picture into a gray level image, setting a binarization threshold value as 250, calling threshold functions of the OpenCV to convert the gray level image into a binary image, setting a pixel value of which the pixel gray level value is greater than 250 pixels in the image as 1, and setting a pixel value of which the pixel value is smaller than 250 pixels as 0, so as to obtain a binarization image; the interference area in the image is filtered through binarization, so that the contrast between characters and the background is enhanced, and the character area is more obvious;
Step 2), setting the size of a corrosion kernel to be 2 x 2, calling erode functions of OpenCV to perform corrosion operation on the binarized picture, wherein the corrosion operation can eliminate object boundary points, enable the boundary to shrink inwards, remove elements smaller than the size of the corrosion kernel in the picture, and eliminate small interference areas in the picture, so that interference on contour searching in the following steps is reduced, and the speed of picture contour processing and searching is improved;
Step 3), carrying out contour search operation on the picture generated after the corrosion operation in the step 2), reserving two contours with the largest area and the second largest area, calculating the smallest circumscribed rectangle of the two contours by using boundingRect functions of OpenCV, and obtaining top left corner vertexes (x, y) of the two rectangles and the length and width of the rectangle;
Step 4), the minimum circumscribed rectangle position is corresponding to the picture in the step 3), the picture in the two rectangle ranges is used as two upper and lower areas to be identified, the top left corner vertex y value is small and is used as an upper part area, and the rectangle with large y value is used as a lower part area; the text region is obtained through contour detection and area filtration, so that accurate text longitudinal projection and segmentation are possible in the following steps;
Step 5), respectively carrying out black pixel longitudinal projection on the binary images of the upper partial area and the lower partial area after being determined to obtain the number of black pixels in each row, and forming a longitudinal projection pixel number curve;
Step 6), because the line pixels of the non-text part of the image are all white, the numerical value of the non-text part line after the longitudinal projection is 0, the trough of the longitudinal projection pixel quantity curve is formed, and the trough position of the longitudinal projection pixel quantity curve is used as a text segmentation position; the step is to obtain the segmentation position of the line characters by projecting the trough position, so that the segmentation accuracy of the line characters is improved;
step 7), performing line text segmentation on the upper and lower areas according to the text segmentation positions;
Step 8), calculating the center line position of the segmented line text picture, setting a threshold range of white color, and taking the color on the center line which is not in the white threshold range as the color of the line text; because of the screenshot characteristic of the dispatching master station system, the colors of all the lines are consistent, so that color taking is carried out at the center line position of the segmented line text and picture, white background color and text color mainly exist in the segmented line text and picture, the threshold range of the white color is set, and the color on the center line which is not in the white threshold range is taken as the color of the line text; the step accurately obtains the color of each line of text through color filtering and reading;
step 9), calling a recognition interface of the tesseract to recognize the region text.
The invention has the beneficial effects that: compared with the prior art, the invention has the following effects:
1) The invention adopts the character recognition technology to recognize the point signal information in the warning window picture, thereby saving the manpower consumption of the human, greatly improving the working efficiency, reducing the cost and avoiding the problem that the manual point-to-point mode is easy to make mistakes;
2) The invention adopts a keyboard-mouse simulation technology, can automatically control the keyboard mouse to screen a warning window picture, and omits the operation of manual screen capture;
3) The invention self-defines the alarm window configuration description file WCD, has universality and can cope with the alarm window signal point-to-point work of different manufacturer scheduling systems;
4) The program of the point checking and accepting method can be run on a workstation computer of any scheduling system, and has no interface interaction such as communication and the like with the scheduling system, and no hidden danger such as network safety and the like.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a screenshot of a point to test table file xls;
FIG. 3 is a setup screenshot of an alarm window configuration profile WCD in the present method;
FIG. 4 is an alarm window screenshot.
Detailed Description
The invention will be further described with reference to specific drawings and examples.
Example 1: as shown in fig. 1-4, an automatic point-to-point acceptance method for an alarm window of a power dispatching system comprises the following steps:
Step 1, a real-time alarm window of a power dispatching system is subjected to screenshot;
Step 2, preprocessing the alarm window screenshot, cutting and extracting a lower half column window image of the point signal refreshed in real time in the alarm window screenshot, cutting the screenshot only, removing the content which does not need to be identified, facilitating the identification of the signal, and having less identification content and high identification speed;
Step 3, recognizing a lower half column window image of the alarm window by adopting text recognition of tesseract, and recognizing text information of each row (each signal) of the alarm window, wherein the text information comprises a signal confirmation state, a signal generation time, a transformer substation name, a signal action description and a signal text color (alarm grade);
Step 4, inquiring whether information identical with the description of the signal to be subjected to the point exists in the character recognition result of the lower half column image of the alarm window: if the identification result has the same information as the signal to be point-to-point, the signal is point-to-point correct; if the identification result is different from the signal to be subjected to the point-to-point (the name of the transformer substation, the name of the signal and the description of the signal action are different), the signal fails to be subjected to the point-to-point.
When the method is used, the file xls of the point table to be measured is firstly imported, as shown in fig. 2, and the name of the transformer substation, the name of the signal and the sequence of the point table to be measured are obtained. Next, an alarm window configuration description file WCD is configured, as shown in fig. 3, the action description of the alarm window signal is divided into a remote signaling value 0 description and a remote signaling value 1 description, where the remote signaling value 0 description is set to "open" and "reset", and the remote signaling value 1 description is set to "close" and "action". The signal alarm class is classified into accident, abnormality, notification, out-of-limit and shift, and is related to the color of the signal characters in the alarm window. RGB color parameters may be set in WCD files to represent different signal alert levels. The action description and the text color of the alarm window signal can be acquired by the alarm window configuration description file WCD. The invention refers to the existing manual point-to-point requirement, extracts the information to be checked in the point-to-point process, and sets forth and standardizes which measuring point information the alarm window needs to check; the prior method does not check the point signals in the alarm window, the invention self-defines the alarm window configuration description file WCD, has universality and can cope with the point-to-point work of the alarm window signals of different manufacturer scheduling systems;
When the point checking and accepting test is carried out, the point signals are sent out by the station end according to the point table to be tested in sequence in a fixed period, and compared with the point signal sending out by the station end, the automatic point checking and accepting method of the alarm window has 2 seconds delay, and the effect of the delay is to ensure that the actual remote signal data sent up by the station end is correctly sent to the dispatching master station system. The automatic point checking and accepting method for the alarm window checks that the fixed time interval of one measuring point is 5s, and the fixed time interval is the same as the sending interval of the point signal of the station end. The automatic checking and accepting method for the alarm window checks the sequence of the point tables which is the same as the sequence of the point tables sent by the station end. The prior art means adopts a point tester device to test the point of a telecontrol device and a protection measurement and control device at the side of a transformer substation, and has the following problems: only the point-to-point signal at the transformer station side is checked, and the point-to-point signal in the dispatching system at the master station side is not checked, so that the point-to-point communication link is incomplete. The method adopts the steps of identifying the point signals in the alarm window, sequentially sending out the point signals at the side of the transformer substation at the dispatching master station, sequentially checking the point signals in the alarm window in the dispatching system at the side of the master station, and synchronizing the progress of the sent out signals and the checked signals which are not related to each other. The method has the advantages that the station side sends out the point signals sequentially in a fixed period according to the point table to be tested, and the automatic point checking and accepting method for the alarm window sequentially carries out the point checking and accepting setting of the signals in the alarm window according to the point table to be tested at the dispatching master station side: the link integrity of the point signal is checked, and the link integrity checking system comprises a station side telecontrol device and a master station side dispatching system.
The screenshot of the alarm window in the step 1 is realized by simulating a keymouse, the keymouse operation is automatically controlled to realize the screenshot of the alarm window, and the screenshot is saved in a regular naming mode (point number, action description and screenshot time) so as to be convenient for later calling and checking, as shown in fig. 4; and preprocessing the alarm window screenshot, cutting and extracting a lower half-column window image of the point signal refreshed in real time in the alarm window screenshot. And then, recognizing the lower half column image of the alarm window by adopting text recognition of tesseract, and recognizing text information of each row (each signal) of the alarm window, wherein the text information comprises signal confirmation state, signal generation time, transformer substation name, signal action description and signal text color (alarm grade). In the existing method, the point signals in the alarm window are not checked, and the method adopts an analog key mouse to realize automatic screenshot of the alarm window by referring to a manual checking mode, so that the labor is saved. The screenshot is named regularly, so that the image file is conveniently called in a regular format when the image is identified, and the current alarm window screenshot file can be quickly searched according to the point number when the point is wrong.
The signal text in the alarm window and the color recognition method thereof are as follows:
Step 1), reading a desktop screenshot file of an electric power dispatching system application, calling cvtColor functions in an OpenCV to convert a picture into a gray level map, setting a binarization threshold value as 250, and calling a threshold function of the OpenCV to convert the gray level map into a binary map;
step 2), setting the size of a corrosion kernel to be 2 x2, calling erode functions of OpenCV to perform corrosion operation on the binarized picture, eliminating small interference areas in the picture, and improving the profile searching and processing speed;
Step 3), carrying out contour search operation on the picture generated after the corrosion operation in the step 2), reserving two contours with the largest area and the second largest area, calculating the smallest circumscribed rectangle of the two contours by using boundingRect functions of OpenCV, and obtaining top left corner vertexes (x, y) of the two rectangles and the length and width of the rectangle;
Step 4), the minimum circumscribed rectangle position is corresponding to the picture in the step 3), the picture in the two rectangle ranges is used as two upper and lower areas to be identified, the top left corner vertex y value is small and is used as an upper part area, and the rectangle with large y value is used as a lower part area;
Step 5), respectively carrying out black pixel longitudinal projection on the binary images of the upper partial area and the lower partial area after being determined to obtain the number of black pixels in each row, and forming a longitudinal projection pixel number curve;
Step 6), using the trough position of the longitudinal projection pixel quantity curve chart as a character segmentation position;
step 7), performing line text segmentation on the upper and lower areas according to the text segmentation positions;
step 8), calculating the center line position of the segmented line text picture, setting a threshold range of white color, and taking the color on the center line which is not in the white threshold range as the color of the line text;
step 9), calling a recognition interface of the tesseract to recognize the region text.
Step 10), setting a text misidentification adjustment list, wherein the adjustment list is stored in a text file, and the format of each line is as follows:
Correct phrase of wrong phrase
Step 11), according to the content of the adjustment list, replacing the wrong phrase with the correct phrase, and improving the accuracy of character recognition;
Step 12), combining the characters and the colors identified in the steps 8) and 9) into a list for outputting, and completing the segmentation and the processing of the front-end picture.
The invention solves the problem of how to extract the user attention area of the front interface, and realizes the automatic segmentation adjustment of the area through an image preprocessing technology, a thresholding technology, a connected domain detection technology and a binary image projection technology;
the invention solves the problems of character line segmentation and color recognition method after extracting the concerned region, ensures the accuracy of character line segmentation through a binarization character longitudinal projection segmentation technology, and realizes the accuracy of color recognition through filtering and reading the color threshold value of the segmented region.
The invention realizes automatic screenshot of the alarm window picture, automatic recognition and judgment of signal characters in the alarm window picture through a keyboard and mouse simulation technology and a character recognition technology, and improves the point checking and accepting efficiency and the intelligent operation level of the alarm window at the master station end.
The foregoing is merely illustrative of the present invention, and the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the scope of the present invention, and therefore, the scope of the present invention shall be defined by the scope of the appended claims.
Claims (5)
1. An automatic point-to-point checking and accepting method for an alarm window of a power dispatching system is characterized in that: the method comprises the following steps:
Step 1, a real-time alarm window of a power dispatching system is subjected to screenshot;
Step 2, preprocessing the alarm window screenshot, cutting and extracting a lower half-column window image of a real-time refreshing point signal in the alarm window screenshot;
step 3, recognizing a lower half column window image of the alarm window by adopting text recognition of tesseract, and recognizing text information of each row of the alarm window, wherein the text information comprises a signal confirmation state, a signal generation time, a transformer substation name, a signal action description and a signal text color;
Step4, inquiring whether information identical with the description of the signal to be subjected to the point exists in the character recognition result of the lower half column image of the alarm window: if the identification result has the same information as the signal to be point-to-point, the signal is point-to-point correct; if the identification result is different from the signal to be point-to-point, the signal fails point-to-point;
The signal text in the alarm window and the color recognition method thereof are as follows:
Step 1), reading a desktop screenshot file of an electric power dispatching system application, calling cvtColor functions in an OpenCV to convert a picture into a gray level map, setting a binarization threshold value as 250, and calling a threshold function of the OpenCV to convert the gray level map into a binary map;
step 2), setting the size of a corrosion kernel to be 2 x 2, and calling erode functions of OpenCV to perform corrosion operation on the binarized picture;
Step 3), carrying out contour search operation on the picture generated after the corrosion operation in the step 2), reserving two contours with the largest area and the second largest area, calculating the smallest circumscribed rectangle of the two contours by using boundingRect functions of OpenCV, and obtaining top left corner vertexes (x, y) of the two rectangles and the length and width of the rectangle;
Step 4), the minimum circumscribed rectangle position is corresponding to the picture in the step 3), the picture in the two rectangle ranges is used as two upper and lower areas to be identified, the top left corner vertex y value is small and is used as an upper part area, and the rectangle with large y value is used as a lower part area;
Step 5), respectively carrying out black pixel longitudinal projection on the binary images of the upper partial area and the lower partial area after being determined to obtain the number of black pixels in each row, and forming a longitudinal projection pixel number curve;
Step 6), using the trough position of the longitudinal projection pixel quantity curve chart as a character segmentation position;
step 7), performing line text segmentation on the upper and lower areas according to the text segmentation positions;
step 8), calculating the center line position of the segmented line text picture, setting a threshold range of white color, and taking the color on the center line which is not in the white threshold range as the color of the line text;
step 9), calling a recognition interface of the tesseract to recognize the region text.
2. The automatic point-to-point acceptance method for an alarm window of a power dispatching system according to claim 1, wherein the method comprises the following steps: the method comprises the steps that a station end sends out the point signals sequentially in a fixed period according to the point table to be tested, and the automatic point checking and accepting method of the alarm window sequentially carries out the point checking and accepting of the signals in the alarm window according to the point table to be tested at the dispatching master station side.
3. The automatic point-to-point acceptance method for an alarm window of a power dispatching system according to claim 1, wherein the method comprises the following steps: the screenshot of the alarm window in the step 1 is realized through simulating a keymouse, and the keymouse is automatically controlled to operate to realize the screenshot of the alarm window, and the screenshot is regularly named and stored.
4. The automatic point-to-point acceptance method for an alarm window of a power dispatching system according to claim 1, wherein the method comprises the following steps: the alarm window checks the alarm information checked by the point inspection and the acceptance to obtain the transformer substation name, the signal action description and the signal character color of the signal, the transformer substation name and the signal name of the alarm window signal are obtained from the transformer station table information known by the dispatching system, and the action description and the character color of the alarm window signal are obtained from an alarm window configuration description file WCD in an XML format.
5. The automatic point-to-point acceptance method for an alarm window of a power dispatching system according to claim 1, wherein the method comprises the following steps: the method comprises the steps of combing action description and character color characteristics of an alarm window of a master station system to form an alarm window configuration description file WCD in an XML format, wherein the action description of alarm window signals is divided into remote signaling value 0 description and remote signaling value 1 description, the remote signaling value 0 description in the alarm window configuration description file WCD is set to be 'switching-off' and 'resetting', the remote signaling value 1 description is set to be 'switching-on' and 'action', signal alarm levels are divided into accidents, abnormal, informing, out-of-limit and shifting, the signals are related to the colors of signal characters in the alarm window, and RGB color parameters are set in the alarm window configuration description file WCD to represent different signal alarm levels.
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