A kind of switchgear insulation performance detection device

Abstract

This invention belongs to the field of insulation testing technology and relates to a device for testing the insulation performance of a distribution cabinet. The device includes a testing probe, an environmental control mechanism, an environmental information sensing module, and a control unit. The testing probe has insulation test electrodes at its front end. The environmental control mechanism is integrated into the probe and includes a dehumidification component. The environmental information sensing module is used to acquire environmental parameters at the test point. The control unit is configured to execute an adaptive testing process: first, an initial insulation measurement is performed; then, based on the measured value and environmental parameters, it determines whether to trigger the dehumidification component. If triggered, local control is applied to the test point, and a second measurement is performed after the control is applied. Finally, an insulation performance diagnostic conclusion is output by comparing the results of the two measurements. This device can automatically eliminate the interference of surface moisture on the measurement, accurately distinguish between surface dampness and inherent defects, and improve the intelligence level and diagnostic accuracy of insulation testing.

Description

Technical Field

[0001] This invention relates to the field of insulation testing technology, specifically to a device for testing the insulation performance of a power distribution cabinet. Background Technology

[0002] The insulation performance of a distribution cabinet is the core guarantee for its safe and stable operation, mainly referring to its ability to resist current leakage between its internal conductive components and to ground. Excellent insulation can effectively prevent leakage, short circuits, and arcing accidents, ensuring the safety of personnel and equipment.

[0003] The insulation performance of distribution cabinets is a key indicator for ensuring the safe and stable operation of power systems. Traditional testing mainly relies on manual measurement using megohmmeters at fixed points. However, in humid environments or seasons, condensation easily forms on the surfaces of components inside the cabinet, leading to significantly lower measured insulation resistance values. This result only reflects the surface moisture condition and cannot truly reflect the performance of the insulation material itself. Current technology lacks methods to automatically distinguish and eliminate surface moisture interference on-site. Maintenance personnel often need to rely on experience to perform long periods of natural drying or additional baking before retesting. This process is inefficient, subjective, and cannot achieve continuous and accurate judgment.

[0004] In view of this, the present invention proposes a device for testing the insulation performance of a power distribution cabinet, which solves the above-mentioned technical problems. Summary of the Invention

[0005] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0006] An insulation performance testing device for a distribution cabinet, comprising: The detection probe has an insulating test electrode at its front end for contacting the point being tested. An environmental control mechanism integrated into the detection probe, the environmental control mechanism including a dehumidification component acting on a local area of ​​the measured point; An environmental information sensing module is used to acquire at least one environmental parameter around the measured point; The control unit is connected to the detection probe, the environmental control mechanism, and the environmental information sensing module, respectively. The control unit is configured to perform the following adaptive detection process: S1: Control the detection probe to perform the initial insulation measurement and obtain the first insulation parameter; S2: Determine whether the preset triggering conditions are met, based at least on the first insulation parameter and / or the current environmental parameters obtained by the environmental information sensing module. S3: If the triggering condition is met, the environmental control mechanism is activated to control the local area of ​​the measured point, and during the control process or after the control target is reached, the detection probe is controlled to perform at least one re-insulation measurement to obtain the second insulation parameter; S4: Based on the comparative analysis results of the first insulation parameter and the second insulation parameter, output the insulation performance diagnosis conclusion.

[0007] Preferably, the dehumidification component includes a hot air generating unit.

[0008] Preferably, the air outlet of the hot air generating unit is arranged around the insulation test electrode to form a focused processing area aligned with the test point.

[0009] Preferably, the environmental information sensing module includes a humidity sensor, and the detection direction of the humidity sensor is consistent with the direction of the insulation test electrode.

[0010] Preferably, the triggering condition includes at least one of the following: The first insulation parameter value is lower than the first threshold; The relative humidity in the current environmental parameters is higher than the second threshold. The deviation between the first insulation parameter value and the historical detection data exceeds the third threshold.

[0011] Preferably, in step S3, the control unit also dynamically adjusts the working power or control time of the environmental control mechanism according to the real-time environmental parameter changes fed back by the environmental information sensing module, until the environmental parameters of the local area of ​​the measured point reach the preset dryness target range.

[0012] Preferably, in step S4, the control unit outputs an insulation performance diagnostic conclusion based on the comparative analysis results of the first insulation parameter and the second insulation parameter, including: If the second insulation parameter is significantly improved compared to the first insulation parameter and tends to stabilize, then the insulation performance is determined to be good. The initial measurement is affected by surface moisture. If the second insulation parameter does not change significantly from the first insulation parameter or is still below the safety threshold, then the measured point is determined to have a substantial insulation defect.

[0013] Preferably, the detection probe and the environmental control mechanism are mounted on the end effector of the robotic arm.

[0014] Preferably, the robotic arm is mounted on a mobile lifting platform.

[0015] The beneficial effects of this invention are: This invention constructs a complete adaptive detection system through the coordinated operation of a detection probe, an environmental control mechanism, an environmental sensing module, and a control unit. It can intelligently distinguish whether the degradation of insulation performance is due to surface condensation or inherent defects. This device utilizes local environmental control technology to rapidly remove moisture at the measurement point and automatically outputs a diagnostic conclusion by comparing and analyzing the initial and subsequent measurements. This fundamentally avoids misjudgments caused by surface leakage in humid environments, thus improving the accuracy and reliability of the detection results. Simultaneously, its automated process reduces reliance on operator experience. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] in: Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 A schematic diagram of the connection structure between the detection probe, robotic arm, and mobile lifting platform; Figure 3 A schematic diagram of the connection structure between the detection probe and the robotic arm; Figure 4 for Figure 3 Enlarged view of point A in the middle; Figure 5 Here is the control flowchart for the positioning and measurement module; Figure 6 This is the control flowchart for the intelligent decision-making module; Figure 7 This is a control flowchart for the local control module; Figure 8 This is the control flowchart for the diagnostic output module.

[0018] In the picture: 1. Detection probe; 11. Insulation test electrode; 2. Environmental control mechanism; 21. Dehumidification component; 211. Hot air generation unit; 3. Environmental information sensing module; 32. Humidity sensor; 4. Control unit; 5. Robotic arm; 6. Mobile lifting platform. Detailed Implementation

[0019] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0020] Example 1: like Figures 1-8 As shown, a device for testing the insulation performance of a power distribution cabinet includes: The detection probe 1 has an insulating test electrode 11 at its front end for contacting the point to be tested; An environmental control mechanism 2 is integrated into the detection probe 1. The environmental control mechanism 2 includes a dehumidification component 21 that acts on a local area of ​​the measured point. Environmental information sensing module 3 is used to acquire at least one environmental parameter around the measured point; The control unit 4 is connected to the detection probe 1, the environmental control mechanism 2, and the environmental information sensing module 3 respectively. Control unit 4 is configured to perform the following adaptive detection process: S1: Control the detection probe 1 to perform the initial insulation measurement and obtain the first insulation parameters; S2: Determine whether the preset triggering conditions are met, based at least on the first insulation parameter and / or the current environmental parameters obtained by the environmental information sensing module 3. S3: If the triggering condition is met, the environmental control mechanism 2 is activated to control the local area of ​​the measured point, and during the control process or after the control target is reached, the detection probe 1 is controlled to perform at least one second insulation measurement to obtain the second insulation parameter. S4: Based on the comparative analysis results of the first insulation parameter and the second insulation parameter, output the insulation performance diagnosis conclusion.

[0021] The environmental information sensing module 3 includes a humidity sensor 32, the detection direction of which is consistent with the direction of the insulation test electrode 11.

[0022] The detection probe 1 and the environmental control mechanism 2 are mounted on the end effector of the robotic arm 5.

[0023] The robotic arm 5 is mounted on the mobile lifting platform 6.

[0024] The mobile lifting platform 6 has both moving and lifting functions. The robotic arm 5 is fixedly installed on the mobile lifting platform 6, and its end effector is equipped with a detection probe 1 and an environmental control mechanism 2 integrated thereon. This allows the device to move flexibly to the front of the power distribution cabinet, and the robotic arm 5 delivers the detection probe 1 to the test points at different heights inside the cabinet, expanding the detection range and realizing automated, blind-spot-free detection of large or densely arranged power distribution cabinets.

[0025] The front end of the detection probe 1 is provided with an insulation test electrode 11 for contacting the test point. The environmental information sensing module 3 includes a humidity sensor 32, the detection direction of which is consistent with the direction of the insulation test electrode 11, ensuring that it senses the humidity environment of the local area of ​​the test point directly in front of the insulation test electrode 11, providing environmental parameters for control decisions.

[0026] The control unit 4 is installed in the control cabinet of the robotic arm 5. The control unit 4 is connected to the detection probe 1 (specifically its internal insulation measurement circuit), the environmental control mechanism 2, the environmental information sensing module 3, and the drive system of the robotic arm 5 and the mobile lifting platform 6.

[0027] Control unit 4 is configured to execute an adaptive detection process: Step S1: Initial Insulation Measurement. The control unit 4 first controls the movement of the robotic arm 5, ensuring the insulation test electrode 11 stably contacts the point under test (e.g., a busbar connector). Subsequently, the control unit 4 triggers the insulation resistance tester within the detection probe 1 to perform the initial measurement at a standard test voltage (e.g., 1000V), obtaining the first insulation parameter (i.e., the initial insulation resistance value R1). This step acquires the raw insulation data of the point under test in its current state.

[0028] Step S2: Determine the triggering conditions. The control unit 4 receives the current environmental parameters (i.e., the local relative humidity value H1) from the humidity sensor 32 and compares them with the first insulation parameter R1 just measured, using preset triggering conditions. Triggering conditions can be set according to actual needs, for example: R1 is lower than a first threshold (e.g., 10MΩ), or H1 is higher than a second threshold (e.g., 80%RH), or R1 decreases by more than a third threshold (e.g., 50%) compared to the historical average of the measured point. If any one or more conditions are met, it is determined that the measured point may have surface moisture interference, and the processing procedure needs to be initiated. This step, through multi-source information fusion, avoids unnecessary dehumidification operations in dry environments and prevents misjudgment as moisture due to insulation defects, improving the targeting and intelligence level of the detection.

[0029] Step S3: Local Adjustment and Re-measurement. If the triggering condition is met as determined in step S2, the control unit 4 immediately activates the environmental control mechanism 2 to adjust the local area of ​​the test point contacted by the insulation test electrode 11. Simultaneously, the control unit 4 dynamically adjusts the operating power (e.g., adjusting the hot air temperature) or adjustment time of the environmental control mechanism 2 based on real-time environmental parameter changes fed back by the humidity sensor 32, forming a closed-loop control circuit. This dynamic adjustment avoids overheating or insufficient dehumidification, ensuring efficient and energy-saving processing. When the real-time humidity drops to the preset drying target range (e.g., below 50%RH), the control unit 4 controls the detection probe 1 to perform a re-insulation measurement, obtaining the second insulation parameter (i.e., the re-insulation resistance value R2). Without affecting other parts of the distribution cabinet, condensation or moisture on the surface of the test point is quickly and accurately eliminated, creating conditions for obtaining the true insulation performance.

[0030] Step S4: Comparative Analysis and Diagnostic Conclusion Output. Control unit 4 compares and analyzes the first insulation parameter R1 and the second insulation parameter R2, and automatically outputs a diagnostic conclusion. The specific rules are as follows: If R2 is significantly higher than R1 (e.g., an increase of more than 10 times) and the R2 value remains stable within a short period, the insulation performance of the tested point is determined to be good, and the low initial measurement value is due to surface moisture. If R2 does not change significantly from R1 (e.g., a change of less than 20%) or R2 is still below the safety threshold, a substantial insulation defect is determined to exist at the tested point. This step transforms the original measurement data into a diagnostic conclusion, helping maintenance personnel quickly distinguish between surface problems and core problems, improving the efficiency and accuracy of the testing work.

[0031] Example 2: like Figures 1-8 As shown, the dehumidification assembly 21 includes a hot air generating unit 211.

[0032] The outlet of the hot air generating unit 211 is arranged around the insulating test electrode 11 to form a focused processing area aligned with the test point.

[0033] The environmental control mechanism 2 is integrated into the housing of the detection probe 1. The dehumidification component 21 is specifically a hot air generating unit 211. This hot air generating unit 211 includes a miniature fan and a PTC heating element, arranged around the central insulation test electrode 11. When activated, the generated hot air is evenly blown out from the annular air outlet, forming a focused processing area that concentrates heat and airflow onto the test point contacted by the tip of the insulation test electrode 11 and its surrounding area. Energy is concentrated at the target point, preventing hot air diffusion from affecting other sensitive components or insulating materials in the distribution cabinet, resulting in high targeting and safety.

[0034] Example 3: like Figures 1-8 As shown, preferably, the triggering condition includes at least one of the following: The first insulation parameter value is lower than the first threshold; The relative humidity in the current environmental parameters is higher than the second threshold; The deviation of the first insulation parameter value from the historical test data exceeds the third threshold.

[0035] Preferably, in step S3, the control unit 4 also dynamically adjusts the working power or control time of the environmental control mechanism 2 according to the real-time environmental parameter changes fed back by the environmental information sensing module 3, until the environmental parameters of the local area of ​​the measured point reach the preset drying target range.

[0036] Preferably, in step S4, the control unit 4 outputs an insulation performance diagnostic conclusion based on the comparative analysis results of the first insulation parameter and the second insulation parameter, including: If the second insulation parameter is significantly improved compared to the first insulation parameter and tends to be stable, the insulation performance is judged to be good. The initial measurement is affected by surface moisture. If the second insulation parameter does not change significantly from the first insulation parameter or is still below the safety threshold, then the measured point is determined to have a substantial insulation defect.

[0037] The triggering conditions are set via software parameters in control unit 4. For example, the first threshold is set to 10MΩ, the second threshold to 80%RH, and the third threshold to 50% historical data deviation. These thresholds can be adjusted based on different voltage levels of distribution cabinets and field experience, making the judgment strategy flexible.

[0038] During the control process in step S3, the dynamic adjustment strategy is as follows: the control unit 4 reads the data from the humidity sensor 32 at a 1-second interval. If the humidity decreases rapidly, the heating power of the hot air generating unit 211 is appropriately reduced to prevent over-drying; if the humidity decreases slowly, the power is increased or the preset control time limit is extended. This closed-loop control ensures the adaptability of the control process, enabling the target drying range (e.g., 45%-55%RH) to be reached in the shortest time with optimal energy consumption.

[0039] In the diagnostic algorithm of step S4: A significant improvement can be defined as R2 / R1 > 10 and R2 fluctuating by less than 5% in three consecutive samples; The criterion for substantial insulation defects can be defined as R2 < safety threshold (e.g., 1MΩ for low-voltage switchgear).

[0040] The control unit 4 will eventually display the diagnostic conclusion (such as "Insulation is good, the influence of surface moisture has been ruled out" or "Warning: Suspected insulation defect detected, resistance value XXMΩ") along with data such as R1, R2, and humidity curves before and after treatment on the terminal screen.

[0041] The control logic described above not only completes the measurement but also performs preliminary fault diagnosis and classification, reducing reliance on the professional experience of operators and ensuring the consistency and reliability of the test results.

[0042] Work process: The mobile lifting platform 6 carries the robotic arm 5 to the predetermined position of the target distribution cabinet. Subsequently, the robotic arm 5 drives the detection probe 1 on its end effector, as well as the environmental control mechanism 2 and environmental information sensing module 3 integrated thereon, to move, so that the insulation test electrode 11 at the front end of the detection probe 1 contacts the test point (such as the busbar connection) inside the cabinet. At this time, the humidity sensor 32 integrated with the environmental control mechanism 2 is also aligned with the test point area and begins to monitor its local relative humidity.

[0043] Control unit 4 then triggers detection probe 1 to perform the initial insulation measurement, obtaining the first insulation parameter (i.e., the initial insulation resistance value). The intelligent algorithm of control unit 4 immediately and synchronously analyzes the first insulation parameter and the current environmental parameters (i.e., the local relative humidity value) collected in real time by humidity sensor 32, and compares them with preset trigger conditions (such as insulation resistance threshold and humidity threshold). If the judgment result is that the trigger conditions are met, it indicates that the measured point may be affected by surface moisture interference, and control unit 4 automatically activates environmental control mechanism 2.

[0044] The dehumidification component 21 in the environmental control mechanism 2 is specifically a hot air generating unit 211, which operates by blowing focused hot air from its annular air outlet surrounding the insulation test electrode 11 to heat and dehumidify the localized area of ​​the contact point of the insulation test electrode 11. During this process, the control unit 4 dynamically adjusts the operating power of the hot air generating unit 211 based on real-time environmental parameter changes fed back by the humidity sensor 32, forming a closed-loop control until the local relative humidity is detected to have dropped to the preset dryness target range.

[0045] Once the drying target is reached, the control unit 4 immediately controls the detection probe 1 to perform a second insulation measurement at the same test point to obtain the second insulation parameter. Finally, the control unit 4 compares and analyzes the first and second insulation parameters: if the second insulation parameter is significantly improved and stable compared to the first, it outputs the conclusion "Insulation performance is good, initial measurement affected by moisture"; if there is no significant difference and the two are still below the safety threshold, it outputs an alarm "Substantial insulation defect exists." Throughout the process, the robotic arm 5 and the mobile lifting platform 6 can work together, enabling the device to automatically and continuously perform intelligent detection and diagnosis on multiple test points within the distribution cabinet.

[0046] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A device for testing the insulation performance of a power distribution cabinet, characterized in that, include: The detection probe (1) has an insulating test electrode (11) at its front end for contacting the test point. An environmental control mechanism (2) is integrated into the detection probe (1), the environmental control mechanism (2) including a dehumidification component (21) acting on a local area of ​​the measured point; The environmental information sensing module (3) is used to acquire at least one environmental parameter around the measured point; The control unit (4) is connected to the detection probe (1), the environmental control mechanism (2) and the environmental information sensing module (3) respectively; The control unit (4) is configured to perform the following adaptive detection process: S1: Control the detection probe (1) to perform the initial insulation measurement and obtain the first insulation parameter; S2: Based at least on the first insulation parameter and / or the current environmental parameter obtained by the environmental information sensing module (3), determine whether the preset triggering condition is met; S3: If the triggering condition is met, the environmental control mechanism (2) is activated to control the local area of ​​the measured point, and during the control process or after the control target is reached, the detection probe (1) is controlled to perform at least one second insulation measurement to obtain the second insulation parameter; S4: Based on the comparative analysis results of the first insulation parameter and the second insulation parameter, output the insulation performance diagnosis conclusion.

2. The distribution cabinet insulation performance testing device according to claim 1, characterized in that, The dehumidification assembly (21) includes a hot air generating unit (211).

3. The distribution cabinet insulation performance testing device according to claim 2, characterized in that, The air outlet of the hot air generating unit (211) is arranged around the insulating test electrode (11) to form a focused processing area aligned with the test point.

4. The distribution cabinet insulation performance testing device according to claim 1, characterized in that, The environmental information sensing module (3) includes a humidity sensor (32), and the detection direction of the humidity sensor (32) is consistent with the direction of the insulation test electrode (11).

5. The power distribution cabinet insulation performance detection device according to claim 1, characterized in that, The triggering condition includes at least one of the following: The first insulation parameter value is lower than the first threshold; The relative humidity in the current environmental parameters is higher than the second threshold. The deviation between the first insulation parameter value and the historical detection data exceeds the third threshold.

6. The power distribution cabinet insulation performance detection device according to claim 1, characterized in that, In step S3, the control unit (4) also dynamically adjusts the working power or control time of the environmental control mechanism (2) according to the real-time environmental parameter changes fed back by the environmental information sensing module (3) until the environmental parameters of the local area of ​​the measured point reach the preset dryness target range.

7. The power distribution cabinet insulation performance detection device according to claim 1, characterized in that, In step S4, the control unit (4) outputs an insulation performance diagnostic conclusion based on the comparative analysis results of the first insulation parameter and the second insulation parameter, including: If the second insulation parameter is significantly improved compared to the first insulation parameter and tends to stabilize, then the insulation performance is determined to be good. The initial measurement is affected by surface moisture. If the second insulation parameter does not change significantly from the first insulation parameter or is still below the safety threshold, then the measured point is determined to have a substantial insulation defect.

8. The power distribution cabinet insulation performance detection device according to claim 1, characterized in that, The detection probe (1) and the environmental control mechanism (2) are mounted on the end effector of the robotic arm (5).

9. The power distribution cabinet insulation performance detection device according to claim 8, characterized in that, The robotic arm (5) is mounted on the mobile lifting platform (6).

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