Monitoring Method, System, Device and Medium for Electro-Purification Component with Needle Plate Structure

Abstract

The present invention provides a monitoring method, system, device, and medium for an electric purification component with a needle plate structure. The monitoring method comprises: acquiring a first image of the electric purification component in a discharge state; obtaining corona edge data of a protrusion in an emitter based on the first image; obtaining initial corona edge data corresponding to an initial time point; and generating a discharge state monitoring result based on the corona edge data, a first distance range, and a second distance range; wherein the first distance range is determined by the distance between the protrusion of the initial corona edge in the initial corona edge data and the axis of the corresponding electrode body, and the second distance range is determined by the distance between the initial corona edge and the first direction. The present invention determines the risk state based on the image of the discharge state, realizes real-time and effective monitoring of the electric purification component, and can provide component failure warning and fault location prompt when the electric purification component is abnormal, thereby improving safety and enhancing user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of air purification, and in particular to a monitoring method, system, equipment and medium for an electric purification component with a needle plate structure. Background Art

[0002] Pin-plate electrical purification components are widely used in the purification technology field. Currently, there is no effective monitoring method for their operating status. Failure warnings and fault location information are not available. Failures can only be reported through fault mode after the component fails to function properly. This delay in reporting a fault can be inconvenient for users. Furthermore, component failures can lead to uncontrolled ionization, posing a potential risk of electric shock. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the defects in the prior art that there is no effective monitoring method and cannot provide component failure warning and fault location prompt, and to provide a monitoring method, system, equipment and medium for electrical purification components with a needle plate structure.

[0004] The present invention solves the above technical problems through the following technical solutions:

[0005] The present invention provides a monitoring method for an electric purification component with a needle-plate structure, wherein the electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, wherein the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body, and the monitoring method includes:

[0006] acquiring a first image including the electrical purification component in a discharged state;

[0007] Obtaining corona edge data of the protrusion in the emitter based on the first image;

[0008] Obtaining initial corona edge data corresponding to an initial time point;

[0009] generating a discharge state monitoring result based on the corona edge data, the first distance range, and the second distance range;

[0010] In which, the discharge status monitoring result is used to indicate whether the emitter is in a normal working state, the first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body, and the second distance range is determined by the spacing of the protruding initial corona edge in the initial corona edge data mapped to the first direction, and the first direction is parallel to the axis of the electrode body.

[0011] Preferably, obtaining the corona edge data of the protrusion in the emitter based on the first image includes:

[0012] Performing image edge detection on the first image to obtain a second image;

[0013] The data of the second image is traversed along the first direction and the second direction that are orthogonal to each other to obtain the corona edge data.

[0014] Preferably, the corona edge data includes pixel points of each of the convex corona edges that reach a preset first brightness threshold and the coordinates of the pixel points;

[0015] The initial corona edge data includes: an initial pixel point of the corona edge of each ridge that reaches a preset first brightness threshold, a maximum initial distance of the axis corresponding to a distance determined by the initial pixel point of each ridge, and a maximum spacing of the initial pixel point of each ridge mapped to the first direction;

[0016] The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing;

[0017] The generating of the discharge state monitoring result based on the corona edge data, the first distance range and the second distance range includes:

[0018] For each of the protrusions, when the pixel points are all within a first distance range from the corresponding axis and a second distance range from a line connecting the endpoints of the protrusion, the discharge state monitoring result indicates that the corresponding protrusion is in a normal working state;

[0019] If all the protrusions of one emitter are in a normal working state, the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

[0020] Preferably, the discharge state monitoring result includes an abnormality level and abnormal point coordinates;

[0021] For each of the ridges, an area in the second image within the first distance range from the corresponding axis and within the second distance range from the line connecting the endpoints of the ridge is a normal state area of the ridge;

[0022] The generating of the discharge state monitoring result based on the corona edge data, the first distance range and the second distance range further includes:

[0023] For each of the thorns, when there is a pixel point outside the normal state area, the number of the pixel points whose brightness is less than a second brightness threshold is counted, the abnormality level is output according to the number and a preset number threshold, and the coordinates of the pixel point outside the normal state area are output; wherein, the second brightness threshold is greater than the first brightness threshold.

[0024] The present invention also provides a monitoring system for an electric purification component with a needle-plate structure, wherein the electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, wherein the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body, and the monitoring system includes: an image acquisition module, a corona edge data calculation module, an initial data acquisition module, and a monitoring result generation module;

[0025] The image acquisition module is used to acquire a first image including the electric purification component in a discharge state;

[0026] The corona edge data calculation module is used to obtain the corona edge data of the ridge in the emitter based on the first image;

[0027] The initial data acquisition module is used to acquire initial corona edge data corresponding to an initial time point;

[0028] The monitoring result generating module is used to generate a discharge state monitoring result based on the corona edge data, the first distance range and the second distance range;

[0029] In which, the discharge status monitoring result is used to indicate whether the emitter is in a normal working state, the first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body, and the second distance range is determined by the spacing of the protruding initial corona edge in the initial corona edge data mapped to the first direction, and the first direction is parallel to the axis of the electrode body.

[0030] Preferably, the corona edge data calculation module includes: an edge detection unit and a traversal unit;

[0031] The edge detection unit is used to perform image edge detection on the first image to obtain a second image;

[0032] The traversal unit is used to traverse the data of the second image along the first direction and the second direction that are orthogonal to each other to obtain the corona edge data.

[0033] Preferably, the corona edge data includes pixel points of each of the convex corona edges that reach a preset first brightness threshold and the coordinates of the pixel points;

[0034] The initial corona edge data includes: an initial pixel point of the corona edge of each ridge that reaches a preset first brightness threshold, a maximum initial distance of the axis corresponding to a distance determined by the initial pixel point of each ridge, and a maximum spacing of the initial pixel point of each ridge mapped to the first direction;

[0035] The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing;

[0036] For each of the ridges, the monitoring result generating module is specifically configured to generate the discharge state monitoring result when all of the pixel points are within a first distance range from the corresponding axis and a second distance range from a line connecting the endpoints of the ridge, and the discharge state monitoring result indicates that the corresponding ridge is in a normal working state;

[0037] The monitoring result generating module is further specifically configured to generate the discharge state monitoring result if all protrusions of one emitter are in a normal working state, and the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

[0038] Preferably, the discharge state monitoring result includes an abnormality level and abnormal point coordinates;

[0039] For each of the ridges, an area in the second image within the first distance range from the corresponding axis and within the second distance range from the line connecting the endpoints of the ridge is a normal state area of the ridge;

[0040] For each of the thorns, the monitoring result generation module is also specifically used to count the number of the pixel points whose brightness is less than a second brightness threshold when there is a pixel point outside the normal state area, output the abnormality level according to the number and a preset number threshold, and output the coordinates of the pixel point outside the normal state area; wherein the second brightness threshold is greater than the first brightness threshold.

[0041] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned method for monitoring the electrical purification component of the needle plate structure when executing the computer program.

[0042] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the aforementioned method for monitoring the electrical purification component of the needle plate structure.

[0043] The positive progressive effect of the present invention is that: the discharge status monitoring result of the electric purification component is generated according to the image of the discharge status of the electric purification component, the risk status of the emitter is determined, and then corresponding processing is performed according to the risk status, thereby realizing real-time and effective monitoring of the electric purification component, and providing component failure warning and fault location prompt when the electric purification component is abnormal, thereby improving safety and enhancing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of a monitoring method for an electric purification component with a needle plate structure according to Example 1 of the present invention.

[0045] Figure 2A This is a structural diagram of an electric purification component in a monitoring method for an electric purification component with a needle plate structure according to Example 1 of the present invention.

[0046] Figure 2B This is a schematic diagram of the layout of monitoring electric purification components in the monitoring method of electric purification components with a needle plate structure according to Example 1 of the present invention.

[0047] Figure 3 This is a flowchart of a specific implementation of step S12 in the monitoring method of the electric purification component with a needle plate structure according to Example 1 of the present invention.

[0048] Figure 4 This is a flowchart of a specific implementation of step S14 in the monitoring method of the electric purification component with a needle plate structure according to Example 1 of the present invention.

[0049] Figure 5 This is a flowchart of another specific implementation of step S14 in the monitoring method of the electric purification component with a needle plate structure according to Example 1 of the present invention.

[0050] Figure 6 This is a module schematic diagram of a monitoring system for an electric purification component with a needle plate structure according to Example 2 of the present invention.

[0051] Figure 7 This is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention. DETAILED DESCRIPTION

[0052] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0053] Example 1

[0054] This embodiment provides a monitoring method for an electric purification component with a needle-plate structure, wherein the electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, wherein the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body. Figure 1 , monitoring methods include:

[0055] S11 . Acquire a first image including an electric purification component in a discharge state.

[0056] S12. Obtain corona edge data of the ridges in the emitter based on the first image.

[0057] S13. Acquire initial corona edge data corresponding to the initial time point.

[0058] S14. Generate a discharge state monitoring result based on the corona edge data, the first distance range, and the second distance range.

[0059] The discharge state monitoring result indicates whether the emitter is in normal operating condition. The first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body. The second distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data mapped to a first direction parallel to the axis of the electrode body. The first and second distance ranges are used to determine the range of the protruding corona edge under normal operating conditions.

[0060] The first image can be captured by an image acquisition device (such as a camera or a webcam), and the first image should include all emitters and receivers in the electrical purification component. The first image reflects the image information of the emitters and receivers along their respective axis directions. Figure 2A The diagram shows the structure of an electrical purification component B0. The emitter B1 is a rod-shaped metal electrode with a spike. The tip of the spike faces the receiver B2, which is a metal plate. The emitter B1 and receiver B2 are spaced apart. Due to the structure of the electrical purification component B0, the spike is more susceptible to failure or damage than the electrode body and receiver B2 after discharge.

[0061] Reference Figure 2B , the bracket B3 of the electric purification component B0 can be installed on the cavity C1, so that the electric purification component B0 is inside the cavity C1. The opaque cavity C1 provides a darkroom environment for monitoring the electric purification component B0. A detection window C2 is provided on the cavity C1, and the image acquisition device C3 is provided outside the cavity C1. The image acquisition device C3 captures the first image through the detection window C2. The dotted line in the figure represents the shooting range of the image acquisition device C3. The detection window C2 is provided at the bottom of the cavity C1, and the angle between the bottom surface of the cavity C1 and the horizontal plane is a preset angle. When the electric purification component B0 is in the discharge state, due to the ionization of the air, the brightness of the air around the emitter B1 will increase and a corona will be generated. The image acquisition device C3 can adopt an appropriate working mode according to actual needs, such as a non-infrared fill light working mode. The image acquisition device C3 sends the captured first image to the processor 31.

[0062] The initial time point refers to the first use (i.e., the first time in the discharge state) of the electric purification component that needs to be monitored. At the initial time point, the data of the discharge state of the electric purification component when it is first used (i.e., the initial corona edge data) is used as a reference for the normal state. Specifically, the first distance range is determined by combining the initial corona edge data with a correction coefficient. There can be multiple correction coefficients, and the correction coefficients can be used to make the first distance range greater than the maximum distance to accommodate the influence of factors such as voltage fluctuations of the electric purification component. The correction coefficient can be set according to actual needs.

[0063] The method for obtaining the initial corona edge data is similar to the method for obtaining the corona edge data, and will not be described in detail here.

[0064] If an electrical purification component is replaced, the initial corona edge data of the replaced component needs to be obtained as a reference for the normal state of the component. If part of the emitter of the electrical purification component is replaced, the initial corona edge data corresponding to the replaced emitter needs to be obtained as a reference for the normal state of the emitter.

[0065] In this embodiment, the discharge status monitoring results of the electric purification component are generated based on the image of the discharge status of the electric purification component, the risk status of the emitter is determined, and then corresponding processing is performed according to the risk status, thereby realizing real-time and effective monitoring of the electric purification component. When the electric purification component is abnormal, it can provide component failure warning and fault location prompt, thereby improving safety and enhancing user experience.

[0066] When implementing it, refer to Figure 3 , step S12 includes:

[0067] S121. Perform image edge detection on the first image to obtain a second image.

[0068] S122 , traverse the data of the second image along a first direction and a second direction orthogonal to each other to obtain corona edge data.

[0069] Here, image edge detection is performed on the first image T1 to obtain the second image T11, and the image data T11 is traversed along the first direction (x-axis) and the second direction (y-axis) to obtain the corona edge data. The corona edge data can include the coordinates of the starting point of the corona edge of each emitter and the number of pixels between the corona edges, that is, the coordinate position of the corona edge of each emitter and the shape and size information of the corona.

[0070] In this embodiment, the edge of the protruding corona is identified by image edge detection, and the corona edge data such as the coordinates of the starting point of the protruding corona edge in each emitter and the number of pixels between the corona edges are obtained by traversing the first direction and the second direction.

[0071] In a specific implementation, the corona edge data includes the pixel points of each convex corona edge that reach a preset first brightness threshold and the coordinates of the pixel points.

[0072] The initial corona edge data includes: the initial pixel point of the corona edge of each ridge that reaches the preset first brightness threshold, the maximum initial distance of the axis corresponding to the distance determined by the initial pixel point of each ridge, and the maximum spacing of the initial pixel point of each ridge mapped to the first direction.

[0073] The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing.

[0074] Reference Figure 4 , step S14 includes:

[0075] S141. For each protrusion, when all pixel points are within a first distance range from the corresponding axis and a second distance range from a line connecting the endpoints of the protrusion, the discharge state monitoring result indicates that the corresponding protrusion is in a normal working state.

[0076] S142: If all protrusions of an emitter are in a normal working state, the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

[0077] In this embodiment, the ionization edge of the protrusion in the emitter in the discharge state is determined by the brightness, and whether the corresponding emitter is in normal working condition is determined according to the position of the ionization edge, that is, whether the position of the pixel point on the ionization edge is within a first distance range from the corresponding axis and within a second distance range from the line connecting the end points of the protrusion. The risk state of the emitter is further determined, and then corresponding processing is performed according to the risk state, thereby realizing real-time and effective monitoring of the electrical purification components, and providing component failure warning and fault location prompts when the electrical purification components are abnormal, thereby improving safety and enhancing user experience.

[0078] In specific implementation, the discharge state monitoring result includes the abnormality level and the coordinates of the abnormal point.

[0079] For each bulge, an area in the second image that is within a first distance range from the corresponding axis and within a second distance range from the line connecting the end points of the bulge is a normal state area of the bulge.

[0080] Reference Figure 5 , step S14 further includes:

[0081] S143. For each bulge, if there are pixels outside the normal state area, count the number of pixels whose brightness is less than a second brightness threshold, output an abnormality level based on the number and a preset number threshold, and output the coordinates of the pixels outside the normal state area. The second brightness threshold is greater than the first brightness threshold.

[0082] The greater the number of pixels with brightness less than the second brightness threshold, the greater the degree of air ionization and the greater the degree of abnormality. A quantity threshold can be pre-set to classify abnormalities into two abnormality levels. Alternatively, n quantity thresholds (n is an integer greater than 1) can be set to classify abnormalities into n+1 abnormality levels.

[0083] Pixel points beyond the normal state area are abnormal points. This embodiment can also output the coordinates of the abnormal points to provide fault location prompts.

[0084] Specifically, the area outside the normal state area is the abnormal area, wherein the abnormal area surrounded by the normal state area is the first abnormal area, and the area outside the first abnormal area in the abnormal area is the second abnormal area (i.e., the area surrounding the normal state area).

[0085] If an abnormal point falls into the first abnormal area, the discharge state monitoring result indicates that the burr has local ionization intensification, and outputs the coordinate information of the abnormal point, indicating that the electric purification component needs to be repaired.

[0086] If an abnormal point falls within the second abnormal region and the number of pixels with brightness below the second brightness threshold is less than a threshold, the discharge state monitoring result indicates that the purification capacity of the emitter where the protrusion is located is insufficient, and the emitter or electrical purification component needs to be replaced. The threshold can be positively correlated with the number of protrusions on the emitter, for example, it can be set to half the number of protrusions on the emitter.

[0087] In this embodiment, the brightness is used to determine the ionization edge of the protrusion in the emitter in the discharge state, the number of pixel points on the ionization edge of the protrusion with brightness less than the second brightness threshold is counted, the abnormality level is determined based on the number, and the risk state of the emitter is further determined, and then corresponding processing is performed according to the risk state, thereby realizing real-time and effective monitoring of the electrical purification components, and providing component failure warning and fault location prompts when the electrical purification components are abnormal, thereby improving safety and enhancing user experience.

[0088] The following is an example of a monitoring method for an electrical purification component implementing a needle plate structure.

[0089] by Figure 2A and 2BTaking the shown electro-purification component and the layout for monitoring the electro-purification component as an example, an image containing the electro-purification component can be captured by an image acquisition device, and this image reflects the discharge state in the axial direction of the electro-purification component.

[0090] When the electro-purification component is started for the first time, obtain (i.e., capture) the first initial image P1 containing the electro-purification component in the discharge state, perform image edge detection on the first initial image P1 to obtain the second initial image P11. The second initial image P11 includes the initial pixel points that reach the preset first brightness threshold. Traverse the data of the second initial image P11 along the mutually orthogonal first direction (x-axis) and second direction (y-axis) to obtain the initial corona edge data. The initial corona edge data is an array P110[n] composed of (A xi , A yi , △A xi , △A yi ), where i represents the serial number of the emitter, A xi represents the x-axis coordinate of the initial pixel point of the corona edge of emitter i, A yi represents the y-axis coordinate of the initial pixel point of the corona edge of emitter i, △A xi represents the maximum initial distance of the corona edge of emitter i mapped to the x-axis, △A yi represents the maximum initial distance of the corona edge of emitter i mapped to the y-axis, n represents an integer of N - 1 and satisfies i < n, and N represents the number of emitters of the electro-purification component. P110[n] can be stored in an independent data storage area. It is stored in an independent data storage area.

[0091] The correction coefficients include the first correction coefficient, the second correction coefficient, the third correction coefficient, and the fourth correction coefficient. Set the first correction coefficient to 0.1, set the second correction coefficient to 0.6, and the first distance range is determined to be from 0.1 * △A xi to 0.6 * △A xi . Set the third correction coefficient to 0.25, set the fourth correction coefficient to 0.75, and the second distance range is determined to be from 0.25 * △A yi to 0.75 * △A yi .

[0092] When the electro-purification component is working, the image acquisition device captures the first image T1 containing the electro-purification component in the discharge state at a fixed frequency f, performs image edge detection on the first image T1 to obtain the second image T11. The second image T11 includes the pixel points that reach the preset first brightness threshold. Traverse the data of the second image T11 along the mutually orthogonal first direction (x-axis) and second direction (y-axis) to obtain the corona edge data. The corona edge data is (T xi , T yi , △T xi , △T yiAn array T110[n] is formed, where i represents the serial number of the emitter, and T xi represents the x-axis coordinate of the pixel point at the corona edge of emitter i, and T yi represents the y-axis coordinate of the pixel point at the corona edge of emitter i, and △T xi represents the maximum distance that the corona edge of emitter i is mapped to the x-axis, and △T yi represents the maximum distance that the corona edge of emitter i is mapped to the y-axis. n represents an integer where n = N - 1 and i < n, and N represents the number of emitters of the electrostatic purification component. T110[n] can be stored in an independent data storage area.

[0093] The distance D from the pixel point at the corona edge of emitter i to the axis of emitter i can be obtained from the x-axis coordinate T xi of the pixel point at the corona edge of emitter i. xi Normally, D xi ≦0.5*△T xi For simplicity of calculation, 0.5*△T xi can be used as the maximum value of D xi in the calculation.

[0094] The distance D from the pixel point at the corona edge of emitter i to the axis of emitter i can be obtained from the y-axis coordinate T yi of the pixel point at the corona edge of emitter i. yi Normally, D yi ≦0.5*△T yi For simplicity of calculation, 0.5*△T yi can be used as the maximum value of D yi in the calculation.

[0095] Analyze the discharge state of the spikes in each emitter:

[0096] When all the pixel points at the corona edge of the spikes in emitter i are within the first distance range from the corresponding axis and within the second distance range from the connecting line of the spike endpoints, that is, 0.1*△A xi <D xi <0.6*△A xi (When simplifying the calculation, 2*0.1*△A xi <△T xi <2*×0.6*△A xi ) and 0.25*△A yi <D yi <0.75*△A yi (When simplifying the calculation, 2*0.25*△A yi <△T yi <2*0.75*△A yi ), the electrostatic purification component is in a normal working state.

[0097] When the pixel point with the convex corona edge in a certain emitter i is in the first abnormal area, that is, D xi ≥0.6*△A xi or D yi ≥0.75*△A yi When (simplified calculation, △T xi ≥2*0.6*△A xi or △T yi ≥2*0.75*△A yi When the electric purification component is locally ionized and outputs the coordinate information of the abnormal point (the pixel point beyond the normal state area), the electric purification component needs to be repaired, such as removing the burrs on the corresponding emitter and replacing the corresponding emitter.

[0098] When the pixel point with the convex corona edge in a certain emitter i is in the second abnormal area, that is, D xi ≤0.1*△A xi or D yi ≤0.25*△A yi When (simplified calculation, △T xi ≤2*0.1*△A xi or △T yi ≤2*0.25*△A yi ), count the number of pixels CNT whose brightness is less than the second brightness threshold, where the second brightness threshold is greater than the first brightness threshold. If CNT>0.5*M (M is the number of protrusions in the emitter i), it is recommended to replace the emitter or electrical purification component. Some emitters of the electrical purification component are severely damaged, the purification capacity is insufficient, and the air ionization is further aggravated. There is a possibility of excessive ozone and emitter breakage, and there is a risk of electric shock.

[0099] Example 2

[0100] This embodiment provides a monitoring system for an electric purification component with a needle-plate structure, wherein the electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, wherein the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body. Figure 6 The monitoring system includes: an image acquisition module 1, a corona edge data calculation module 2, an initial data acquisition module 3 and a monitoring result generation module 4.

[0101] The image acquisition module 1 is used to acquire a first image including the electric purification component in a discharge state.

[0102] The corona edge data calculation module 2 is used to obtain the corona edge data of the ridges in the emitter based on the first image.

[0103] The initial data acquisition module 3 is used to acquire initial corona edge data corresponding to an initial time point.

[0104] The monitoring result generating module 4 is used to generate a discharge state monitoring result based on the corona edge data, the first distance range and the second distance range.

[0105] The discharge state monitoring result indicates whether the emitter is in normal operating condition. The first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body. The second distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data mapped to a first direction parallel to the axis of the electrode body. The first and second distance ranges are used to determine the range of the protruding corona edge under normal operating conditions.

[0106] The first image can be captured by an image acquisition device (such as a camera or a webcam), and the first image should include all emitters and receivers in the electrical purification component. The first image reflects the image information of the emitters and receivers along their respective axis directions. Figure 2A The diagram shows the structure of an electrical purification component B0. The emitter B1 is a rod-shaped metal electrode with a spike. The tip of the spike faces the receiver B2, which is a metal plate. The emitter B1 and receiver B2 are spaced apart. Due to the structure of the electrical purification component B0, the spike is more susceptible to failure or damage than the electrode body and receiver B2 after discharge.

[0107] Reference Figure 2B , the bracket B3 of the electric purification component B0 can be installed on the cavity C1, so that the electric purification component B0 is inside the cavity C1. The opaque cavity C1 provides a darkroom environment for monitoring the electric purification component B0. A detection window C2 is provided on the cavity C1, and the image acquisition device C3 is provided outside the cavity C1. The image acquisition device C3 captures the first image through the detection window C2. The dotted line in the figure represents the shooting range of the image acquisition device C3. The detection window C2 is provided at the bottom of the cavity C1, and the angle between the bottom surface of the cavity C1 and the horizontal plane is a preset angle. When the electric purification component B0 is in the discharge state, due to the ionization of the air, the brightness of the air around the emitter B1 will increase and a corona will be generated. The image acquisition device C3 can adopt an appropriate working mode according to actual needs, such as a non-infrared fill light working mode. The image acquisition device C3 sends the captured first image to the processor 31.

[0108] The initial time point refers to the first use (i.e., the first time in the discharge state) of the electric purification component that needs to be monitored. At the initial time point, the data of the discharge state of the electric purification component when it is first used (i.e., the initial corona edge data) is used as a reference for the normal state. Specifically, the first distance range is determined by combining the initial corona edge data with a correction coefficient. There can be multiple correction coefficients, and the correction coefficients can be used to make the first distance range greater than the maximum distance to accommodate the influence of factors such as voltage fluctuations of the electric purification component. The correction coefficient can be set according to actual needs.

[0109] The method for obtaining the initial corona edge data is similar to the method for obtaining the corona edge data, and will not be described in detail here.

[0110] If an electrical purification component is replaced, the initial corona edge data of the replaced component needs to be obtained as a reference for the normal state of the component. If part of the emitter of the electrical purification component is replaced, the initial corona edge data corresponding to the replaced emitter needs to be obtained as a reference for the normal state of the emitter.

[0111] In this embodiment, the discharge status monitoring results of the electric purification component are generated based on the image of the discharge status of the electric purification component, the risk status of the emitter is determined, and then corresponding processing is performed according to the risk status, thereby realizing real-time and effective monitoring of the electric purification component. When the electric purification component is abnormal, it can provide component failure warning and fault location prompt, thereby improving safety and enhancing user experience.

[0112] During specific implementation, the corona edge data calculation module 2 includes: an edge detection unit 21 and a traversal unit 22 .

[0113] The edge detection unit 21 is configured to perform image edge detection on the first image to obtain a second image.

[0114] The traversal unit 22 is configured to traverse the data of the second image along a first direction and a second direction orthogonal to each other to obtain corona edge data.

[0115] Here, image edge detection is performed on the first image T1 to obtain the second image T11, and the image data T11 is traversed along the first direction (x-axis) and the second direction (y-axis) to obtain the corona edge data. The corona edge data can include the coordinates of the starting point of the corona edge of each emitter and the number of pixels between the corona edges, that is, the coordinate position of the corona edge of each emitter and the shape and size information of the corona.

[0116] In this embodiment, the edge of the protruding corona is identified by image edge detection, and the corona edge data such as the coordinates of the starting point of the protruding corona edge in each emitter and the number of pixels between the corona edges are obtained by traversing the first direction and the second direction.

[0117] In a specific implementation, the corona edge data includes the pixel points of each convex corona edge that reach a preset first brightness threshold and the coordinates of the pixel points.

[0118] The initial corona edge data includes: the initial pixel point of the corona edge of each ridge that reaches the preset first brightness threshold, the maximum initial distance of the axis corresponding to the distance determined by the initial pixel point of each ridge, and the maximum spacing of the initial pixel point of each ridge mapped to the first direction.

[0119] The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing.

[0120] For each bulge, the monitoring result generation module 4 is specifically used to generate a discharge status monitoring result when all pixel points are within a first distance range from the corresponding axis and a second distance range from the line connecting the end points of the bulge, and the discharge status monitoring result indicates that the corresponding bulge is in a normal working state.

[0121] The monitoring result generating module 4 is further specifically configured to generate a discharge state monitoring result if all protrusions of an emitter are in a normal working state, and the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

[0122] In this embodiment, the ionization edge of the protrusion in the emitter in the discharge state is determined by the brightness, and whether the corresponding emitter is in normal working condition is determined according to the position of the ionization edge, that is, whether the position of the pixel point on the ionization edge is within a first distance range from the corresponding axis and within a second distance range from the line connecting the end points of the protrusion. The risk state of the emitter is further determined, and then corresponding processing is performed according to the risk state, thereby realizing real-time and effective monitoring of the electrical purification components, and providing component failure warning and fault location prompts when the electrical purification components are abnormal, thereby improving safety and enhancing user experience.

[0123] In specific implementation, the discharge state monitoring result includes the abnormality level and the coordinates of the abnormal point.

[0124] For each bulge, an area in the second image that is within a first distance range from the corresponding axis and within a second distance range from the line connecting the end points of the bulge is a normal state area of the bulge.

[0125] For each protrusion, the monitoring result generation module 4 is further specifically configured to count the number of pixels whose brightness is less than a second brightness threshold when there are pixels outside the normal state area, output an abnormality level based on the number and a preset number threshold, and output the coordinates of the pixel outside the normal state area. The second brightness threshold is greater than the first brightness threshold.

[0126] The greater the number of pixels with brightness less than the second brightness threshold, the greater the degree of air ionization and the greater the degree of abnormality. A quantity threshold can be pre-set to classify abnormalities into two abnormality levels. Alternatively, n quantity thresholds (n is an integer greater than 1) can be set to classify abnormalities into n+1 abnormality levels.

[0127] Pixel points beyond the normal state area are abnormal points. This embodiment can also output the coordinates of the abnormal points to provide fault location prompts.

[0128] Specifically, the area outside the normal state area is the abnormal area, wherein the abnormal area surrounded by the normal state area is the first abnormal area, and the area outside the first abnormal area in the abnormal area is the second abnormal area (i.e., the area surrounding the normal state area).

[0129] If an abnormal point falls into the first abnormal area, the discharge state monitoring result indicates that the burr has local ionization intensification, and outputs the coordinate information of the abnormal point, indicating that the electric purification component needs to be repaired.

[0130] If an abnormal point falls within the second abnormal region and the number of pixels with brightness below the second brightness threshold is less than a threshold, the discharge state monitoring result indicates that the purification capacity of the emitter where the protrusion is located is insufficient, and the emitter or electrical purification component needs to be replaced. The threshold can be positively correlated with the number of protrusions on the emitter, for example, it can be set to half the number of protrusions on the emitter.

[0131] In this embodiment, the brightness is used to determine the ionization edge of the protrusion in the emitter in the discharge state, the number of pixel points on the ionization edge of the protrusion with brightness less than the second brightness threshold is counted, the abnormality level is determined based on the number, and the risk state of the emitter is further determined, and then corresponding processing is performed according to the risk state, thereby realizing real-time and effective monitoring of the electrical purification components, and providing component failure warning and fault location prompts when the electrical purification components are abnormal, thereby improving safety and enhancing user experience.

[0132] The following is an example of a monitoring method for an electrical purification component implementing a needle plate structure.

[0133] by Figure 2A and 2BTaking the shown electric purification component and the layout for monitoring the electric purification component as an example, an image containing the electric purification component can be captured by an image acquisition device, and this image reflects the discharge state in the axial direction of the electric purification component.

[0134] When the electric purification component is started for the first time, obtain (i.e., capture) the first initial image P1 containing the electric purification component in the discharge state, perform image edge detection on the first initial image P1 to obtain the second initial image P11. The second initial image P11 includes the initial pixel points that reach the preset first brightness threshold. Traverse the data of the second initial image P11 along the mutually orthogonal first direction (x-axis) and second direction (y-axis) to obtain the initial corona edge data. The initial corona edge data is an array P110[n] composed of (A xi , A yi , △A xi , △A yi ), where i represents the serial number of the emitter, A xi represents the x-axis coordinate of the initial pixel point of the corona edge of emitter i, A yi represents the y-axis coordinate of the initial pixel point of the corona edge of emitter i, △A xi represents the maximum initial distance of the corona edge of emitter i mapped to the x-axis, △A yi represents the maximum initial distance of the corona edge of emitter i mapped to the y-axis, n represents an integer where n = N - 1 and satisfies i < n, and N represents the number of emitters of the electric purification component. P110[n] can be stored in an independent data storage area.

[0135] The correction coefficients include the first correction coefficient, the second correction coefficient, the third correction coefficient, and the fourth correction coefficient. Set the first correction coefficient to 0.1, set the second correction coefficient to 0.6, and the first distance range is determined to be from 0.1 * △A xi to 0.6 * △A xi . Set the third correction coefficient to 0.25, set the fourth correction coefficient to 0.75, and the second distance range is determined to be from 0.25 * △A yi to 0.75 * △A yi .

[0136] When the electric purification component is working, the image acquisition device captures the first image T1 containing the electric purification component in the discharge state at a fixed frequency f, performs image edge detection on the first image T1 to obtain the second image T11. The second image T11 includes the pixel points that reach the preset first brightness threshold. Traverse the data of the second image T11 along the mutually orthogonal first direction (x-axis) and second direction (y-axis) to obtain the corona edge data. The corona edge data is (T xi , T yi , △T xi , △T yiAn array T110[n] is formed, where i represents the serial number of the emitter, and T xi represents the x-axis coordinate of the pixel point of the corona edge of emitter i, and T yi represents the y-axis coordinate of the pixel point of the corona edge of emitter i, and △T xi represents the maximum distance of the corona edge of emitter i mapped to the x-axis, and △T yi represents the maximum distance of the corona edge of emitter i mapped to the y-axis. n represents an integer of N - 1 and satisfies i < n, and N represents the number of emitters of the electrostatic purification component. T110[n] can be stored in an independent data storage area.

[0137] The distance D of the pixel point from the axis of emitter i can be obtained from the x-axis coordinate T of the pixel point of the corona edge of emitter i xi . Usually, D xi ≦0.5*△T xi . For simplicity of calculation, 0.5*△T xi can be used as the maximum value of D xi for calculation. xi

[0138] The distance D of the pixel point from the axis of emitter i can be obtained from the y-axis coordinate T of the pixel point of the corona edge of emitter i yi . Usually, D yi ≦0.5*△T yi . For simplicity of calculation, 0.5*△T yi can be used as the maximum value of D yi for calculation. yi

[0139] Analyze the discharge state of the protrusions in each emitter:

[0140] When all the pixel points of the corona edge of the protrusions in emitter i are within the first distance range from the corresponding axis and within the second distance range from the connecting line of the ends of the protrusions, that is, 0.1*△A xi < D xi <0.6*△A xi (when simplifying the calculation, 2*0.1*△A xi <△T xi <2*0.6*△A xi ) and 0.25*△A yi < D yi <0.75*△A yi (when simplifying the calculation, 2*0.25*△A yi <△T yi <2*0.75*△A yi ), the electrostatic purification component is in a normal working state.​​

[0141] When the pixel point with the convex corona edge in a certain emitter i is in the first abnormal area, that is, D xi ≥0.6*△A xi or D yi ≥0.75*△A yi When (simplified calculation, △T xi ≥2*0.6*△A xi or △T yi ≥2*0.75*△A yi When the electric purification component is locally ionized and outputs the coordinate information of the abnormal point (the pixel point beyond the normal state area), the electric purification component needs to be repaired, such as removing the burrs on the corresponding emitter and replacing the corresponding emitter.

[0142] When the pixel point with the convex corona edge in a certain emitter i is in the second abnormal area, that is, D xi ≤0.1*△A xi or D yi ≤0.25*△A yi When (simplified calculation, △T xi ≤2*0.1*△A xi or △T yi ≤2*0.25*△A yi ), count the number of pixels CNT whose brightness is less than the second brightness threshold, where the second brightness threshold is greater than the first brightness threshold. If CNT>0.5*M (M is the number of protrusions in the emitter i), it is recommended to replace the emitter or electrical purification component. Some emitters of the electrical purification component are severely damaged, the purification capacity is insufficient, and the air ionization is further aggravated. There is a possibility of excessive ozone and emitter breakage, and there is a risk of electric shock.

[0143] Example 3

[0144] Figure 7 This is a schematic diagram of the structure of an electronic device provided in Example 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the monitoring method for the electrical purification component of the needle plate structure in Example 1 is implemented. Figure 7 The electronic device 30 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention.

[0145] The electronic device 30 may be a general-purpose computing device, such as a server device. Components of the electronic device 30 may include, but are not limited to, the at least one processor 31, the at least one memory 32, and a bus 33 connecting various system components (including the memory 32 and the processor 31).

[0146] The bus 33 includes a data bus, an address bus, and a control bus.

[0147] The memory 32 may include a volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322 , and may further include a read-only memory (ROM) 323 .

[0148] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, such program modules 324 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0149] The processor 31 executes various functional applications and data processing by running the computer programs stored in the memory 32 , such as the monitoring method of the electric purification component with a needle plate structure in Example 1 of the present invention.

[0150] The electronic device 30 can also communicate with one or more external devices 34 (e.g., buttons, pointing devices, etc.). This communication can occur via an input / output (I / O) interface 35. Furthermore, the model-generated electronic device 30 can also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 36. As shown, the network adapter 36 communicates with other modules of the model-generated electronic device 30 via a bus 33. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the model-generated electronic device 30, including but not limited to microcode, device drivers, redundant processors, external disk drive arrays, RAID (RAID) systems, tape drives, and data backup storage systems.

[0151] In a specific implementation, the electronic device may further include: a cavity C1 provided with a detection window C2 and an image acquisition device C3. The processor 31 is in communication connection with the image acquisition device C3.

[0152] Reference Figure 2B, the bracket B3 of the electric purification component can be installed on the cavity C1, so that the electric purification component is inside the cavity C1. The opaque cavity C1 provides a darkroom environment for monitoring the electric purification component. A detection window C2 is provided on the cavity C1, and the image acquisition device C3 is provided outside the cavity C1. The image acquisition device C3 captures the first image through the detection window C2. The detection window C2 is provided at the bottom of the cavity C1, and the angle between the bottom surface of the cavity C1 and the horizontal plane is a preset angle. When the electric purification component is in the discharge state, due to the occurrence of air ionization, the brightness of the air around the emitter B1 will increase and generate a corona. The image acquisition device C3 can adopt an appropriate working mode according to actual needs, such as a non-infrared fill light working mode.

[0153] The image acquisition device C3 can be a camera or a webcam.

[0154] It should be noted that although several modules / modules or submodules / modules of the electronic device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more modules / modules described above may be embodied in one module / module; conversely, the features and functions of one module / module described above may be further divided and embodied by multiple modules / modules.

[0155] Example 4

[0156] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for monitoring the electric purification component of the needle plate structure in embodiment 1 is implemented.

[0157] The readable storage medium may include, but is not limited to, a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0158] In a possible embodiment, the present invention can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the monitoring method of the electrical purification component of the needle plate structure in Example 1.

[0159] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or entirely on the remote device.

[0160] Although specific embodiments of the present invention have been described above, those skilled in the art will appreciate that these are merely illustrative and that the scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, and such changes and modifications are intended to fall within the scope of the present invention.

Claims

1. A monitoring method for an electric purification component with a needle plate structure, characterized in that: The electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, wherein the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body, and the monitoring method includes: acquiring a first image including the electrical purification component in a discharged state; Obtaining corona edge data of the protrusion in the emitter based on the first image; Obtaining initial corona edge data corresponding to an initial time point; generating a discharge state monitoring result based on the corona edge data, the first distance range, and the second distance range; In which, the discharge status monitoring result is used to indicate whether the emitter is in a normal working state, the first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body, and the second distance range is determined by the spacing of the protruding initial corona edge in the initial corona edge data mapped to the first direction, and the first direction is parallel to the axis of the electrode body.

2. The method for monitoring the electric purification component of the needle plate structure according to claim 1, characterized in that: The obtaining of the corona edge data of the ridge in the emitter based on the first image includes: Performing image edge detection on the first image to obtain a second image; The data of the second image is traversed along the first direction and the second direction that are orthogonal to each other to obtain the corona edge data.

3. The method for monitoring the electric purification component of the needle plate structure according to claim 2, characterized in that: The corona edge data includes pixel points of each of the convex corona edges that reach a preset first brightness threshold and the coordinates of the pixel points; The initial corona edge data includes: an initial pixel point of the corona edge of each ridge that reaches a preset first brightness threshold, a maximum initial distance of the axis corresponding to a distance determined by the initial pixel point of each ridge, and a maximum spacing of the initial pixel point of each ridge mapped to the first direction; The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing; The generating of the discharge state monitoring result based on the corona edge data, the first distance range and the second distance range includes: For each of the protrusions, when the pixel points are all within a first distance range from the corresponding axis and a second distance range from a line connecting the endpoints of the protrusion, the discharge state monitoring result indicates that the corresponding protrusion is in a normal working state; If all the protrusions of one of the emitters are in a normal working state, the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

4. The method for monitoring the electric purification component of the needle plate structure according to claim 3, characterized in that: The discharge state monitoring result includes an abnormality level and abnormal point coordinates; For each of the ridges, an area in the second image within the first distance range from the corresponding axis and within the second distance range from the line connecting the endpoints of the ridge is a normal state area of the ridge; The generating of the discharge state monitoring result based on the corona edge data, the first distance range and the second distance range further includes: For each of the thorns, when there is a pixel point outside the normal state area, the number of the pixel points whose brightness is less than a second brightness threshold is counted, the abnormality level is output according to the number and a preset number threshold, and the coordinates of the pixel point outside the normal state area are output; wherein, the second brightness threshold is greater than the first brightness threshold.

5. A monitoring system for an electric purification component with a needle plate structure, characterized in that: The electric purification component includes a plurality of emitters and a plate-shaped receiving electrode, the emitter includes a plurality of needle-shaped protrusions and a rod-shaped electrode body, and the monitoring system includes: an image acquisition module, a corona edge data calculation module, an initial data acquisition module and a monitoring result generation module; The image acquisition module is used to acquire a first image including the electric purification component in a discharge state; The corona edge data calculation module is used to obtain the corona edge data of the ridge in the emitter based on the first image; The initial data acquisition module is used to acquire initial corona edge data corresponding to an initial time point; The monitoring result generating module is used to generate a discharge state monitoring result based on the corona edge data, the first distance range and the second distance range; In which, the discharge status monitoring result is used to indicate whether the emitter is in a normal working state, the first distance range is determined by the distance between the protruding initial corona edge in the initial corona edge data and the corresponding axis of the electrode body, and the second distance range is determined by the spacing of the protruding initial corona edge in the initial corona edge data mapped to the first direction, and the first direction is parallel to the axis of the electrode body.

6. The monitoring system for the electric purification component of the needle plate structure according to claim 5, characterized in that: The corona edge data calculation module includes: an edge detection unit and a traversal unit; The edge detection unit is used to perform image edge detection on the first image to obtain a second image; The traversal unit is used to traverse the data of the second image along the first direction and the second direction that are orthogonal to each other to obtain the corona edge data.

7. The monitoring system for the electric purification component of the needle plate structure according to claim 6, characterized in that: The corona edge data includes pixel points of each of the convex corona edges that reach a preset first brightness threshold and the coordinates of the pixel points; The initial corona edge data includes: an initial pixel point of the corona edge of each ridge that reaches a preset first brightness threshold, a maximum initial distance of the axis corresponding to a distance determined by the initial pixel point of each ridge, and a maximum spacing of the initial pixel point of each ridge mapped to the first direction; The first distance range is determined by the corresponding maximum initial distance, and the second distance range is determined by the corresponding maximum spacing; For each of the ridges, the monitoring result generating module is specifically configured to generate the discharge state monitoring result when all of the pixel points are within a first distance range from the corresponding axis and a second distance range from a line connecting the endpoints of the ridge, and the discharge state monitoring result indicates that the corresponding ridge is in a normal working state; The monitoring result generating module is further specifically configured to generate the discharge state monitoring result if all protrusions of one emitter are in a normal working state, and the discharge state monitoring result indicates that the corresponding emitter is in a normal working state.

8. The monitoring system for the electric purification component of the needle plate structure according to claim 7, characterized in that: The discharge state monitoring result includes an abnormality level and abnormal point coordinates; For each of the ridges, an area in the second image within the first distance range from the corresponding axis and within the second distance range from the line connecting the endpoints of the ridge is a normal state area of the ridge; For each of the thorns, the monitoring result generation module is also specifically used to count the number of the pixel points whose brightness is less than a second brightness threshold when there is a pixel point outside the normal state area, output the abnormality level according to the number and a preset number threshold, and output the coordinates of the pixel point outside the normal state area; wherein the second brightness threshold is greater than the first brightness threshold.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for monitoring the electric purification component of the needle plate structure according to any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for monitoring an electrical purification component of a needle plate structure according to any one of claims 1 to 4 is implemented.

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