Electric power insulator cleaning strength intelligent control system based on sewage collection and analysis

Abstract

The invention discloses an electric power insulator cleaning strength intelligent control system based on sewage collection and analysis, and belongs to the technical field of electric power insulator cleaning. And the corresponding relation between the sewage turbidity and the visual pollution degree is established and utilized, and the cleaning strength of the execution unit is dynamically adjusted. According to the method, the effectiveness of the current cleaning action and the stubborn degree of the dirt can be more accurately judged, so that the cleaning strength is adjusted, and the situation that high-strength cleaning parameters are continuously used under the condition that the dirt is basically removed or is not stubborn is avoided; unnecessary mechanical abrasion and chemical erosion of the brush and the enamel surface of the insulator are remarkably reduced, and the service life of the insulator and the service life of a cleaning executing mechanism are prolonged.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of insulator cleaning, and particularly relates to an intelligent control system for cleaning intensity of power insulators based on sewage collection and analysis. BACKGROUND

[0002] Power insulators are key equipment in power transmission and distribution systems, and the cleanliness of their surfaces directly affects the insulation performance and operational safety of the power grid. In the natural environment, insulator surfaces gradually accumulate dirt such as dust, salt, and chemical deposits. In humid weather, these contaminants can cause a decrease in the insulator's insulation performance, and even lead to a pollution flashover accident, which seriously threatens the stability of the power grid. Currently, the cleaning of power insulators mainly relies on manual cleaning, fixed-period automatic cleaning, or cleaning triggered by simple sensors (such as humidity sensors). These methods have obvious shortcomings: manual cleaning is inefficient, costly, and poses safety risks; fixed-period cleaning lacks awareness of the actual contamination level of the insulator, which can lead to insufficient or excessive cleaning; and systems based on simple sensors cannot accurately determine the attachment strength and type of contamination, making it difficult to dynamically adjust cleaning parameters. Excessive cleaning can cause a series of problems: first, high-intensity and high-frequency brushing can accelerate the wear of the insulator surface glaze, reducing its long-term insulation performance and service life; second, cleaning components such as brushes can quickly wear out due to long-term high-load operation; third, excessive use of cleaning agents not only increases costs but also can have adverse effects on the environment. Conversely, insufficient cleaning cannot effectively remove contaminants, leaving safety hazards. Therefore, there is an urgent need in the field for a system and method that can accurately perceive the contamination level and cleaning state of insulators in real time, and intelligently and accurately control the cleaning intensity, to achieve a balance between efficient cleaning, equipment protection, and resource conservation. SUMMARY

[0003] The purpose of the present application is to provide an intelligent control system for cleaning intensity of power insulators based on sewage collection and analysis, which solves the problem of lack of awareness of the actual contamination level of the insulator in the prior art, which can lead to insufficient or excessive cleaning.

[0004] The purpose of the present application can be achieved by the following technical solutions: The intelligent control system for cleaning intensity of power insulators based on sewage collection and analysis comprises: a sewage collection unit for collecting sewage generated during the cleaning of power insulators; a sewage sampling unit connected to the drainage pipeline of the sewage collection unit for intermittently collecting sewage samples in the pipeline; a turbidity detection unit for detecting the turbidity of the sewage samples collected by the sewage sampling unit; An execution unit is used to perform segmented cleaning of the outer surface of power insulators, and it includes a water spraying assembly and a brushing assembly. The visual analysis unit is used to acquire images of the surface of electrical insulators and analyze them to obtain the degree of surface contamination, i.e., the degree of visual dirtiness. The intelligent control unit is electrically connected to the turbidity detection unit, the visual analysis unit, and the execution unit, respectively. The intelligent control unit is configured to: establish and utilize the correspondence between sewage turbidity detected by the turbidity detection unit and visual dirtiness obtained by the visual analysis unit, and dynamically adjust the cleaning intensity of the execution unit.

[0005] As a further aspect of the present invention, after completing the turbidity detection, the wastewater sampling unit discharges the wastewater sample and accepts it for rinsing with clean water.

[0006] As a further aspect of the present invention, the method for the intelligent control unit to dynamically adjust the cleaning intensity of the execution unit includes the following steps: Step 1: The execution unit cleans a region on the surface of the power insulator according to the preset cleaning rules. At the same time, the wastewater sampling unit intermittently collects the cleaning wastewater, and the turbidity detection unit detects and obtains the wastewater turbidity sequence Ti, where i takes the value from 1 to n, and n is the number of wastewater samples collected during the cleaning process of this region. Step 2: Establish the correlation curve between Ti and visual dirt level; Step 3: When cleaning the electrical insulators to be cleaned, the execution unit performs cleaning according to the preset cleaning rules; Obtain the current wastewater turbidity T1 and its corresponding actual visual pollution level W11; Based on the corresponding relationship curve, find the expected visual level of dirtiness W12 corresponding to T1; Compare W11 and W12: If W11≤W12, maintain the current cleaning rule; if W11>W12, increase the cleaning intensity of the execution unit.

[0007] As a further aspect of the present invention, in Step 3, increasing the cleaning intensity refers to at least one of the following: increasing the brush rotation speed, increasing the pressure between the brush and the surface of the power insulator, and increasing the amount of cleaning agent added.

[0008] As a further aspect of the present invention, in Step 3, as cleaning proceeds, the Ti value and the corresponding Wi1 and Wi2 are continuously updated and compared; if Wi1 is greater than Wi2 multiple times in a row, it is determined that there are stubborn stains on the surface of the power insulator, and the cleaning intensity of the execution unit is adjusted to the preset maximum level.

[0009] As a further aspect of the present invention, the method for obtaining the relationship curve is as follows: During the sampling and analysis phase, the execution unit performs cleaning actions according to preset cleaning rules; Then, during the cleaning process in a region, the correspondence between Ti value and visual dirt level is obtained. After obtaining the raw data, a Cartesian coordinate system is established with Ti value as the x-axis and visual dirt level as the y-axis. The raw data is represented in this Cartesian coordinate system, and then the relationship curve between Ti and visual dirt level is obtained by fitting.

[0010] As a further aspect of the present invention, the visual dirtiness level corresponding to Ti is determined by selecting the visual dirtiness level corresponding to the image acquired by the visual analysis unit at a time t before the acquisition time of Ti, based on the acquisition time of Ti.

[0011] The beneficial effects of this invention are: This invention integrates wastewater turbidity analysis and visual dirt assessment, enabling the system to more accurately determine the effectiveness of the current cleaning action and the stubbornness of the dirt. This provides a scientific basis for adjusting the cleaning intensity (such as brush speed, pressure, and detergent dosage), achieving precise and intelligent control of the cleaning intensity.

[0012] This invention significantly reduces unnecessary mechanical wear and chemical erosion of the brush and the enamel surface of the insulator by avoiding the continuous use of high-intensity cleaning parameters when the dirt has been largely removed or the dirt is not stubborn, thus helping to extend the service life of the insulator itself and the cleaning actuator.

[0013] The system described in this invention only increases the amount of detergent or intensifies the cleaning action when stubborn dirt is detected or the cleaning effect is not as expected, thus avoiding the abuse of detergent and excessive consumption of clean water, which is in line with the green and environmentally friendly operation concept.

[0014] This invention can automatically identify stubborn stains (when Wi1 is greater than Wi2 multiple times in a row) and directly switch to the maximum cleaning level, avoiding ineffective attempts at medium-intensity cleaning in a single area for a long time, thereby speeding up the overall cleaning process and improving maintenance efficiency. Attached Figure Description

[0015] The invention will now be further described with reference to the accompanying drawings.

[0016] Figure 1 This is a schematic diagram of the framework structure of the intelligent control system of the present invention; Figure 2 This is a flowchart illustrating the process of adjusting the cleaning intensity of the execution unit. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Intelligent control system for cleaning power insulators based on wastewater collection and analysis, such as Figure 1 As shown, it includes: The wastewater collection unit is used to collect the wastewater generated during the cleaning of power insulators, and the collected wastewater is discharged through drainage pipes. The wastewater sampling unit intermittently collects wastewater from the drainage pipes, and then the turbidity of the wastewater sample is obtained through the turbidity detection unit. After the turbidity detection is completed, the wastewater sample in the wastewater sampling unit is discharged through the wastewater pipes. To ensure the accuracy of the test results, the wastewater sampling unit is rinsed with clean water after the wastewater is discharged. An execution unit is used to clean the outer surface of a power insulator. Specifically, the brushing unit includes a water spraying assembly for spraying clean water onto the surface of the power insulator and a brush structure for brushing the surface of the power insulator. It should be noted that when the execution unit cleans the power insulators, it does so in segments. That is, only when one area of ​​the outer surface of the power insulator is cleaned to the required standard will the cleaning of the next area begin. The visual analysis unit is used to acquire images of the surface of the power insulator, and then analyze the acquired images to obtain the degree of contamination on the surface of the power insulator. The intelligent control unit adjusts the cleaning intensity of the execution unit based on the detection results from the turbidity detection unit and the visual analysis unit.

[0019] Specifically, such as Figure 2 As shown, the method by which the intelligent control unit adjusts the cleaning intensity of the execution unit based on the detection results of the turbidity detection unit and the visual analysis unit includes the following steps: Step 1: When cleaning the power insulator, the execution unit performs the cleaning action according to the preset cleaning rules. Then, the sewage sampling unit intermittently samples the sewage collected by the sewage collection unit, and the turbidity detection unit detects the turbidity of the sewage collected by the sewage sampling unit. This allows the change of sewage turbidity Ti in a certain area of ​​the power insulator surface during the cleaning process to obtain the sample index, where i is the sample index, i takes the value from 1 to n, and n is the number of sewage samples collected in a certain area of ​​the power insulator surface during the cleaning process. Step 2: The degree of contamination on the surface of the power insulator is obtained through the visual analysis unit. For the convenience of subsequent description, the degree of contamination on the surface of the power insulator is referred to as the visual contamination degree. Specifically, obtaining the degree of surface contamination through visual analysis units is a common method in existing technologies, such as using chromatography, which involves collecting color information from the surface of the insulator and using the degree of color change to determine the degree of contamination. Depending on the specific method used, the degree of visual soiling can be expressed using grade parameters or specific parameter values; Establish a correspondence between Ti and the degree of visual soiling, specifically: During the sampling and analysis phase, the execution unit performs cleaning actions according to preset cleaning rules; The preset cleaning rules include: preset brush rotation speed, preset detergent addition ratio, and preset brush pressure. Brush pressure refers to the pressure between the brush and the surface of the power insulator, which is adjusted by changing the distance between the brush and the surface of the power insulator. Then, during the cleaning process in a certain area, the correspondence between Ti value and visual dirt level is obtained. After obtaining a large amount of raw data, a Cartesian coordinate system is established with Ti value as the x-axis and visual dirt level as the y-axis. The raw data is represented in this Cartesian coordinate system, and then the relationship curve between Ti and visual dirt level is obtained by fitting. Where Ti corresponds to the visual level of soiling: Using the acquisition time of Ti as the reference time, the visual pollution level of the power insulator image collected by the visual analysis unit at a time t before the reference time is taken as the visual pollution level corresponding to Ti. The setting of t is based on the design of the drainage pipe. The longer the interval between the inlet of the drainage pipe and the sewage sampling unit, the larger t will be. The principle is to ensure that the visual sewage level obtained from the analysis corresponds to the time when the sewage was generated. Step 3: When cleaning the surface of a power insulator to be cleaned, clean it according to the preset cleaning rules; First, the turbidity T1 of the wastewater is obtained, and then the actual visual degree of filth W11 corresponding to the turbidity T1 of the wastewater is obtained through the visual analysis unit. Then, based on the relationship curve between Ti and visual fouling degree, the visual fouling degree W12 corresponding to the sewage turbidity T1 in the relationship curve is obtained; Compare the visual level of dirt W11 with W12. If W11 is less than or equal to W12, maintain the current cleaning rules. If W11 is greater than W12, increase the cleaning intensity. This allows for reasonable adjustment of the cleaning intensity of electrical insulators as needed, preventing the brush from working in a high-speed, high-pressure environment for extended periods, which could cause wear on the brush and the surface of the electrical insulators, and also preventing the misuse of cleaning agents.

[0020] The cleaning intensity includes the brush rotation speed, the pressure between the brush and the electrical insulator, and the amount of cleaning agent added. The improvement in cleaning power refers to improving at least one of the above-mentioned aspects.

[0021] Each time the Ti value is updated, the corresponding Wi1 and Wi2 are updated and compared. If Wi1 is greater than Wi2 multiple times in a row, the stains on the surface of the power insulator are considered to be stubborn stains, and the cleaning intensity can be directly adjusted to the set maximum level. This avoids repeated analysis and adjustments. When a stain is determined to be stubborn, the preset maximum cleaning level can be used directly, which can improve cleaning efficiency and avoid spending a lot of time cleaning the same area.

[0022] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A power insulator cleaning force intelligent control system based on sewage collection and analysis, characterized in that, The utility model relates to a power insulator cleaning device, comprising: a sewage collecting unit for collecting sewage generated during the cleaning process of power insulators; a sewage sampling unit connected to the sewage outlet pipeline of the sewage collecting unit for intermittently collecting sewage samples in the pipeline; a turbidity detection unit for detecting the turbidity of the sewage samples collected by the sewage sampling unit; an execution unit for segmentally cleaning the outer surface of the power insulator, which comprises a water spraying assembly and a brushing assembly; a visual analysis unit for collecting images of the surface of the power insulator and analyzing the surface contamination degree, i.e., the visual contamination degree, of the power insulator; an intelligent control unit electrically connected to the turbidity detection unit, the visual analysis unit and the execution unit; the intelligent control unit is configured to dynamically adjust the cleaning intensity of the execution unit according to the sewage turbidity detected by the turbidity detection unit and the visual contamination degree obtained by the visual analysis unit by establishing and utilizing the corresponding relationship between the sewage turbidity and the visual contamination degree.

2. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 1, characterized in that, After the turbidity detection is completed, the sewage sampling unit discharges the sewage samples and accepts clean water cleaning.

3. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 1, characterized in that, The method for dynamically adjusting the cleaning intensity of the execution unit by the intelligent control unit comprises the following steps: Step 1: the execution unit cleans a region on the surface of the power insulator according to a preset cleaning rule, at the same time, the sewage sampling unit intermittently collects cleaning sewage, and the turbidity detection unit detects and obtains a sewage turbidity sequence Ti, i takes a value from 1 to n, and n is the number of collected sewage samples during the cleaning process of the region; Step 2: a corresponding relationship curve between Ti and the visual contamination degree is established; Step 3: when cleaning the power insulator to be cleaned, the execution unit cleans according to the preset cleaning rule; the current sewage turbidity T1 and its corresponding actual visual contamination degree W11 are obtained; the expected visual contamination degree W12 corresponding to T1 is found according to the corresponding relationship curve; W11 and W12 are compared: if W11≤W12, the current cleaning rule is maintained; if W11>W12, the cleaning intensity of the execution unit is increased.

4. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 3, characterized in that, In Step 3, increasing the cleaning intensity means increasing at least one of the brush rotation speed, the pressure between the brush and the surface of the power insulator, and the amount of cleaning agent added.

5. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 3, characterized in that, In Step 3, as the cleaning proceeds, the Ti value and the corresponding Wi1 and Wi2 are continuously updated and compared; if Wi1 is greater than Wi2 for a plurality of times in succession, it is determined that there is stubborn dirt on the surface of the power insulator, and the cleaning intensity of the execution unit is adjusted to a preset maximum level.

6. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 3, characterized in that, The method for obtaining the relationship curve is as follows: In the sampling and analysis stage, the execution unit performs a cleaning action according to the preset cleaning rule; then the corresponding relationship between the Ti value and the visual contamination degree during the cleaning process of a region is obtained, after the original data are obtained, a rectangular coordinate system is established with the Ti value as the abscissa and the visual contamination degree as the ordinate, the original data are represented in the rectangular coordinate system, and then the relationship curve between Ti and the visual contamination degree is fitted.

7. The power insulator cleaning force intelligent control system based on sewage collection and analysis according to claim 3, characterized in that, The visual contamination degree corresponding to Ti is the visual contamination degree corresponding to the image collected by the visual analysis unit at the time point of t before the reference time point with Ti as the reference.

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