Arc protection test system and test method for an arc flash hand protection product

Abstract

The application discloses an arc protection test system and test method for an anti-arc hand protection product, and relates to the technical field of arc protection performance test.The system comprises: a power module for providing power supply for arc protection test; a start / stop module for controlling the closing and opening operation of the power module according to start / stop control instructions; an anti-arc hand protection product test device for matching and fixing the anti-arc hand protection product, generating test arcs according to the power supply of the power module to perform test, and collecting arc protection test parameter data; a measurement and control protection module for monitoring power supply parameter data in real time, identifying abnormalities and generating start / stop control instructions; a data analysis and calculation module for obtaining test parameter data, dynamically adjusting the power-on duration of the start / stop module, performing multi-data collection and protection index calculation, and outputting arc protection level results.The application can realize safe, reliable and accurate evaluation of the protection performance of the anti-arc hand protection product such as gloves.

Description

Technical Field

[0001] This invention relates to the field of arc protection performance testing technology, and in particular to an arc protection testing system and method for arc protection hand protection products. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] An electric arc is a gas discharge phenomenon that occurs when the body approaches but does not touch a high-voltage electrical source, and the body's induction acts as a bridge to create a short circuit. When an electric arc fault occurs in electrical equipment, the instantaneous high temperature and enormous energy generated by the fault are released in a very short time, causing violent gas explosions and electrical burns, resulting in severe burns, especially to the hands, of electrical equipment operators. Arc-resistant hand protection products, such as arc-resistant gloves and their materials, are key equipment for ensuring electrical work safety, and can prevent serious injuries to the human body from electric arcs to a certain extent. The arc protection performance of arc-resistant hand protection products is crucial to the safety of operators. A testing system for the arc protection performance of arc-resistant products has been developed to test the arc protection performance value (ATPV) and material breakage threshold (EBT) of related products. ATPV reflects the arc protection performance of the protective material, indicating that when the external incident energy is less than this value, the protective product can effectively block and reduce the energy to avoid second-degree or higher burns. EBT indicates that the energy incident on the fabric will not cause damage to the fabric. This testing system can be used to evaluate the performance of arc-resistant products and promote the development of subsequent protective equipment.

[0004] Existing arc protection testing systems can achieve basic functions such as arc generation, data acquisition, and analysis, but certain problems still exist in practical applications: Existing testing devices are mostly applicable to general arc-resistant fabrics and lack dedicated supports and fixing methods designed for the structural characteristics of hand protection products, resulting in poor contact between the sample and the sensor and large deviations in test data; The testing process requires a stable output of arc current with specific parameters, but existing power supplies have insufficient short-circuit capacity to cover all accident conditions; High voltage and high current are used in the testing process, but there is currently a lack of effective operation interlocking and abnormal protection mechanisms, which may lead to unauthorized switching on / off, failure to cut off power in time during faults, and other situations causing safety accidents; Furthermore, arc performance calculations rely on arc voltage and current data collected from multiple tests, but existing tests are mostly manually adjusted, lacking intelligent parameter adjustment mechanisms, resulting in unreasonable distribution of test data, leading to many invalid tests, low testing efficiency, and potentially affecting the accuracy and reliability of the final calculation results. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention proposes an arc protection testing system and method for arc protection hand protection products. By designing a dedicated testing device for arc protection hand protection products with redundant power supply and multi-parameter measurement and control protection functions, and through multiple closed-loop adjustments and tests, the core indicators of arc protection performance are accurately calculated. This enables a safe, reliable, and accurate assessment of the protective performance of arc protection hand protection products such as gloves, solving the problems of unreliable power supply, high risk of misoperation, poor test specificity, and low test efficiency and accuracy in existing testing methods.

[0006] In a first aspect, the present invention proposes an arc protection testing system for arc protection hand protection products.

[0007] An arc protection testing system for arc protection hand protection products includes: The power module is used to supply power for arc protection testing; The start / stop module is used to control the opening and closing operations of the power supply module according to the start / stop control command; The arc protection hand protection product testing device is used to match and fix the arc protection hand protection product, generate a test arc according to the power supply module, and collect arc protection test parameter data. The measurement and control protection module is used to monitor power supply parameter data in real time, identify abnormalities, and generate start / stop control commands; The data analysis and calculation module is used to acquire test parameter data during the arc protection test, dynamically adjust the power-on time of the start / stop module, perform multi-data acquisition and protection index calculation, and output the arc protection level result.

[0008] In a further technical solution, the power module adopts a dual-power redundant architecture with a backup generator and a battery pack. The power module is equipped with an intelligent ring network cabinet for remote monitoring of power supply to automatically locate faults and quickly restore power supply.

[0009] A further technical solution is that the arc-proof hand protection product testing device includes an electrode assembly, a bracket, and a monitoring and sensing unit; The electrode assembly includes two electrodes fixed vertically and connected by a fused lead, which are used to generate a test arc. Several supports and monitoring sensing units are fixed on the horizontal plane between the two electrodes. The supports and monitoring sensing units are arranged at 30° intervals around the electrodes. The supports are used to match and fix the arc protection hand protection product, and a panel calorimeter is provided on the surface of the support. The arc protection hand protection product is placed on the support and is in contact with the panel calorimeter. The monitoring sensing unit is a monitoring calorimeter. The panel calorimeter and the monitoring calorimeter are on the same horizontal plane and are used to collect temperature data during the test.

[0010] In a further technical solution, the arc-proof hand protection product testing device also includes multiple conductive steel pipes, an upper power supply connection pipe, an upper electrode sleeve, a lower power supply connection pipe, and a lower electrode sleeve. Multiple conductive steel pipes are evenly distributed and form a cage-like structure. The electrode assembly, support, and monitoring sensing unit are all fixedly installed inside the cage-like structure. The upper and lower electrodes of the electrode assembly are respectively built into the corresponding electrode tubes. The power supply current of the power module enters the upper electrode built into the upper electrode tube through the upper power connection pipe, and flows into the lower electrode built into the lower electrode tube through the fuse. The current in the lower electrode flows through the conductive steel pipe and the lower power connection pipe in sequence and returns, forming a test circuit.

[0011] A further technical solution, the measurement and control protection module, includes: The data acquisition unit is used to monitor power supply parameter data in real time during the test process; the power supply parameters include power supply voltage, current, frequency, and insulation resistance. The multi-criteria fusion decision unit is used to extract and analyze features from multiple types of data collected in real time, and to make fusion decisions by combining multiple preset anomaly identification criteria to identify abnormal faults and their types. The protection execution unit is used to execute a graded protection strategy and generate start / stop control commands based on the identified abnormal fault type.

[0012] A further technical solution is that the test parameter data includes arc parameter data, thermal response parameters, and sample state data of the arc-proof hand protection product; The arc parameter data is collected by the shunt and voltage divider connected in series to the test circuit, including the effective and peak values ​​of the arc current, the arc voltage, and the duration. The thermal response parameter data is the temperature data collected by the calorimeter in the testing device; The sample state data includes burn results, fracture state, and material response; wherein, burn results are divided into no burn and burn, determined by temperature data combined with Stroll curves; fracture state is divided into no fracture and fracture, determined by observation; material response includes melting and dripping, determined by video monitoring records.

[0013] Secondly, the present invention provides a method for testing the arc protection of an arc-proof hand protection product.

[0014] An arc protection test method for an arc protection hand protection product includes: Initialize the arc protection test system, install the arc protection hand protection product sample in the system, preset the arc parameters, and after starting the test, synchronously collect power supply, arc, thermal response and sample status data; Based on the collected multi-source data, the incident energy under the current arc parameters is calculated to divide the energy range, and the ATPV is estimated by using a logistic regression model. The number of data points within the ATPV set range is estimated statistically, and the compliance of the data point distribution is verified. Based on the relationship between historical energy values ​​and energizing duration, the energizing duration is adjusted for supplementary tests until the data point distribution is compliant. Based on the compliant data obtained after adjustment, the protection index value is calculated and the arc level is determined. After generating a report, the system is reset.

[0015] A further technical solution involves adjusting the power-on duration for supplementary testing, as follows: The arc energy E, energizing time T, and sample response result Y are obtained for each test; in the sample response result Y, burn is marked as 1 and no burn is marked as 0. All experimental data were sorted in ascending order of arc energy E, and the 0 / 1 mixing zone, the interval below the mixing zone, and the interval above the mixing zone were identified. The mixing zone is the energy interval from the first 1 to the last 0. The interval below the mixing zone is the interval with energy less than the starting point of the mixing zone, and the interval above the mixing zone is the interval with energy greater than the ending point of the mixing zone. The relationship between arc energy E and burn probability P was fitted using a logistic regression model. The energy value corresponding to P=0.5 was calculated as the estimated ATPV. The number N of current data points with energy falling within the interval [0.8×ATPV, 1.2×ATPV] was counted. If the current number of data points is not less than the set number of data points, the data point distribution is judged to be compliant, and the protection index calculation steps are performed. Otherwise, parameter adjustment and supplementary tests are performed, the data from the supplementary tests are added to the dataset and the judgment is re-evaluated until the compliance judgment criteria are met.

[0016] Further technical solutions, including parameter adjustments for supplementary experiments, are as follows: Based on the currently acquired data, fit a model relating arc energy E to energization duration T. Determine the number of supplementary data points n based on the difference between the set number of data points and the current number of data points. Select n target energy values ​​at equal intervals within the interval [0.8×ATPV, 1.2×ATPV]. Based on the relational model, the target energization time corresponding to each target energy value is calculated, and supplementary experiments are conducted based on the target energization time.

[0017] Further technical solutions, during the testing process, also include: Real-time monitoring of power supply data, identification of anomalies through multi-criteria fusion decision-making, and generation of start / stop control commands to control the start / stop module to cut off the test circuit.

[0018] The above one or more technical solutions have the following beneficial effects: 1. This invention proposes an arc protection testing system and method for arc protection hand protection products. By designing a dedicated testing device for arc protection hand protection products with redundant power supply and multi-parameter measurement and control protection functions, and through multiple closed-loop adjustments, the core indicators of arc protection performance are accurately calculated. This enables a safe, reliable, and accurate assessment of the protective performance of arc protection hand protection products such as gloves. The overall testing efficiency is significantly improved compared to traditional solutions, reducing the calculation deviation of ATPV values. The testing process is free of operational errors and is practical for both R&D testing and compliance testing scenarios.

[0019] 2. The power module of this invention adopts an N+1 redundant architecture of backup generator and battery pack, and is equipped with intelligent ring network cabinet, segmented bus and parallel static var compensator (SVG). The dual power supply can switch quickly, and the test load can be tested without interruption. It solves the problem of insufficient short-circuit capacity and voltage fluctuation caused by traditional power supply systems. The introduced intelligent ring network cabinet supports automatic fault location and rapid power restoration. The segmented bus design reduces the scope of fault impact and effectively improves power supply reliability. The SVG device ensures stable power factor and meets the instantaneous power demand when an electric arc occurs. The deviation of the arc current parameter can be controlled within ±5%.

[0020] 3. This invention utilizes a custom-designed, non-conductive, heat-resistant bracket adapted to the size of hand protection products. A copper disk calorimeter is attached to the bracket surface. The bracket's close fit with the product sample avoids testing deviations caused by gaps between the sample and the sensor. Multiple brackets and monitoring sensing units are arranged at 30° intervals around the electrodes to ensure uniform arcing of the sample. Simultaneous testing with multiple brackets improves data acquisition efficiency. Both the panel calorimeter on the bracket and the monitoring calorimeter of the monitoring sensing unit use copper disk calorimeters. These calorimeters, in conjunction with K / J type thermocouples, accurately capture thermal response data, providing a reliable basis for subsequent index calculations.

[0021] 4. This invention designs a measurement and control protection module. By collecting real-time power supply voltage, current, frequency, insulation resistance, etc. during the test, and through data analysis and multi-criteria fusion decision-making, it can quickly and accurately identify faults and respond to power supply anomalies in real time. At the same time, it performs hierarchical protection based on the identification results. Hierarchical protection strategies such as compensation, alarm, and 5ms tripping can achieve risk gradient control and avoid safety accidents caused by high voltage and high current. In addition, dual-factor authentication and logic interlocking prevent unauthorized opening and closing, achieving zero error operation during the test. The real-time recording of abnormal data and waveform playback function provide support for fault root cause analysis.

[0022] 5. The testing method proposed in this invention uses a logistic regression model to fit the energy-burn probability relationship, focusing on the ATPV ±20% core range. Based on historical data, the energizing time is dynamically adjusted, and supplementary tests are conducted until the data distribution is compliant, allowing for simultaneous and accurate calculation of ATPV, HAF, EBT, and other indicator values. This approach allows for targeted supplementation of core range data, avoiding blind testing, reducing invalid tests, and optimizing test results. Furthermore, the compliance of data distribution ensures the accuracy of ATPV calculation, effectively reducing calculation deviations. The final calculated HAF and EBT indicators comprehensively reflect the product's heat insulation and crack resistance capabilities, making arc level determination more scientific. This testing method supports the analysis of at least 20 valid data points, meets statistical reliability requirements, and the test results can be directly used for product certification.

[0023] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0024] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0025] Figure 1 This is a structural block diagram of the arc protection testing system for the arc protection hand protection product in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the arc-proof hand protection product testing device in Embodiment 1 of the present invention; Figure 3 This is a simplified schematic diagram of the arc-proof hand protection product testing device in Embodiment 1 of the present invention; Figure 4 This is a schematic diagram of the main parts of the testing device in Embodiment 1 of the present invention; Figure 5 This is a top view of the main parts of the testing device in Embodiment 1 of the present invention.

[0026] Among them, 1. upper electrode; 2. lower electrode; 3. conductive steel pipe; 4. upper power supply connection pipe; 5. upper electrode sleeve; 6. lower power supply connection pipe; 7. lower electrode sleeve; 8. mounting surface; 9. insulating mounting plate; 10. monitoring and sensing unit; 11. bracket; 12. arc protection hand protection product sample. Detailed Implementation

[0027] It should be noted that the following detailed descriptions are exemplary and are intended only to describe specific embodiments and to provide further explanation of the invention, and are not intended to limit the scope of exemplary embodiments of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0028] Example 1 To address the problems of unreliable power supply, high risk of misoperation, and poor test specificity in existing arc protection testing systems / devices, this embodiment proposes an arc protection testing system for arc protection hand protection products. By integrating a redundantly designed power supply module, a multi-parameter measurement and control protection module, and a dedicated testing device for hand protection products, a closed-loop system for stable power supply, anomaly protection, and accurate testing is achieved during the testing process. This embodiment intelligently identifies anomalies and quickly disconnects dangerous circuits by real-time monitoring of power supply parameters and test data, eliminating accidental connection and disconnection operations. Simultaneously, it accurately calculates core indicators such as the arc thermal protection performance value (ATPV) and the rupture threshold energy (Ebt), significantly improving the safety, reliability, and specificity of the test. This enables a safe, reliable, and accurate assessment of the protective performance of arc protection hand protection products such as gloves.

[0029] The arc protection testing system for the arc protection hand protection product proposed in this embodiment, such as... Figure 1 As shown, the system specifically includes a power supply module, a start / stop module, an arc protection hand protection product testing device, a measurement and control protection module, and a data analysis and calculation module. These modules work together to form a closed-loop testing architecture of power supply-testing-protection-analysis. Specifically, the power supply module provides power for the arc protection test; the start / stop module controls the opening and closing of the power supply module according to start / stop control commands; the arc protection hand protection product testing device is used to match and fix the arc protection hand protection product, and generates a test arc based on the power supply from the power supply module for testing, collecting arc protection test parameter data; the measurement and control protection module monitors the power supply parameter data in real time, identifies anomalies, and generates start / stop control commands; and the data analysis and calculation module acquires test parameter data during the arc protection test, dynamically adjusts the power-on time of the start / stop module, performs multi-data acquisition and protection index calculation, and outputs the arc protection level result.

[0030] As a further technical solution, the power module serves as the energy foundation for the stable operation of the test system. It can adopt a 220kV network test power supply, combined with an integrated automation system, and equipped with a station-wide integrated power supply, 220kV line protection, main transformer protection, intelligent auxiliary system, and communication system. The equipment in the station can realize remote signaling, remote measurement, and remote control functions.

[0031] Preferably, considering the need for a stable output of arc current with specific parameters during testing, and the fact that existing power supply systems lack redundancy design and are prone to test failure or even damage to test equipment due to voltage fluctuations and interruptions, this embodiment's power module adopts a dual-power redundant architecture with a backup generator and battery pack. In the event of a single power supply failure, it can quickly and seamlessly switch over, such as within 20ms, ensuring zero interruption of the test load. Simultaneously, the power module is equipped with an intelligent ring network cabinet with remote monitoring capabilities, supporting automatic fault location and rapid power restoration, further improving power supply continuity and reliability. The power module has circuit breakers at several voltage levels and adopts a segmented busbar connection design, separating the test load and non-critical loads onto independent busbar segments. In the event of a fault, only the affected area is isolated, further reducing the power outage area. In addition, the power module is also equipped with a parallel static var generator (SVG) to ensure a stable power factor and meet the instantaneous power demand during arcing.

[0032] As a further technical solution, the host computer in the start / stop module has an editable logic sequence. When the start / stop module starts, it controls the closing and opening operations of the circuit breaker in the test circuit power module according to the logic sequence, thereby controlling the test duration. Simultaneously with the start / stop module's startup, corresponding modules in the device, such as data acquisition and analysis modules, also start to collect and process data.

[0033] Preferably, the host computer in the start / stop module also receives start / stop control signals from other modules and can control the opening and closing operations of the power module based on the received real-time signals. Specifically, considering the high voltage and high current used in the test, which poses a certain danger, an emergency stop button can be manually pressed to drive the start / stop module to open and stop the test in case of an abnormality. However, manual observation lacks timeliness and effectiveness. To address the lack of effective operation interlocking and abnormality protection mechanisms in this start / stop control, this embodiment also includes a measurement and control protection module. This module can generate start / stop control commands based on real-time monitoring of the power supply status, etc. The host computer in the start / stop module receives the control commands fed back by this module to control the opening and closing operations of the power module, avoiding unauthorized opening and closing, failure to cut off the power supply in time during faults, and other situations, thus preventing safety accidents.

[0034] As a further technical solution, this embodiment includes a measurement and control protection module. This module collects real-time power supply parameter data during testing, combines it with preset multi-criteria for fusion decision-making and hierarchical protection, generates start / stop control commands, and initiates protection actions to prevent unexpected safety hazards. Specifically, the measurement and control protection module includes a data acquisition unit, a multi-criteria fusion decision-making unit, and a protection execution unit, and its functions are as follows: (1) The data acquisition unit includes voltage and current sensors, etc., to monitor the power supply voltage, current, frequency, insulation resistance and other data in real time during the test process. High-speed ADC sampling, high-precision CT / PT, phase-locked loop (PLL) and other technologies can be used to ensure monitoring accuracy.

[0035] (2) The multi-criteria fusion decision unit performs feature extraction and analysis on the real-time collected multi-type data, such as waveform distortion analysis, transient change detection, and timing pattern matching. It combines multiple preset anomaly identification criteria to make fusion decisions and identify abnormal faults and their types. For example, high-speed ADC sampling and RMS value calculation can be used to monitor voltage fluctuations and interruptions, and identify abnormal faults such as overvoltage, undervoltage, and transient interruption; high-precision CT / PT (current transformer / voltage transformer) and harmonic analysis can be used to monitor current anomalies and identify abnormal faults such as overcurrent, short circuit, and grounding; phase-locked loop (PLL) technology can be used to monitor frequency deviation and identify abnormal faults such as grid frequency instability; DC injection and differential current detection can be used to monitor the insulation status in the circuit and identify abnormal conditions such as leakage current and decreased insulation resistance.

[0036] (3) The protection execution unit executes a graded protection strategy and generates start / stop control commands based on the identified abnormal fault type. This embodiment adopts a graded response strategy and also has an operation interlocking function. The graded protection strategy is as follows: Level 1: If a transient disturbance such as a voltage dip is identified, the UPS / stabilizer compensation is started; Level 2: If a continuous abnormality such as an overcurrent of 15% lasting for 100ms is identified, an alarm is triggered and data is recorded; Level 3: If a serious fault such as a short-circuit current > 1.1 times the test set value is identified, a control command is generated to control the trip within 5ms. The operation interlocking function is as follows: Based on the IEC 61850 GOOSE mechanism, the equipment interlocking relationship is constructed. In test mode, unauthorized manual opening and closing commands are interlocked. It can only be released by dual-factor authentication of physical key and electronic password, so as to achieve zero error opening and closing during the test.

[0037] As a further technical solution, since most existing testing systems / devices are designed for general arc-resistant materials and do not have dedicated brackets and fixing methods designed for the structural characteristics of hand protection products, the contact between the sample and the sensor is not tight and the test data has large deviations. Therefore, this embodiment designs a dedicated testing device for hand protection products (such as gloves) to ensure the relevance and accuracy of the test.

[0038] like Figure 2 and Figure 3As shown, the arc protection hand protection product testing device mainly includes an electrode assembly, several supports, and a monitoring and sensing unit. The electrode assembly includes two electrodes, an upper electrode 1 and a lower electrode 2, fixed vertically and connected by a fused lead wire. These two electrodes are used to generate a test arc. Preferably, a 19mm diameter 303 or 304 stainless steel rod is used as the electrode, with an initial length of 45cm. The electrode spacing is adjustable to 305±10mm. The arc is ignited by a fused lead wire with a diameter ≤0.5mm.

[0039] like Figure 4 and Figure 5 As shown, several supports 11 and monitoring sensing units 10 are fixedly installed on the horizontal plane between the upper and lower electrodes. For example, several supports 11 and monitoring sensing units 10 are fixedly installed on the fixed mounting surface 8. The multiple supports 11 and monitoring sensing units 10 are arranged at 30° intervals around the electrodes. Figure 4 As shown, the bracket 11 is used to match and fix the arc protection hand protection product. Preferably, the bracket is made of non-conductive heat-resistant material (thermal conductivity <0.20W / mK below 500℃), and its size is adapted to size 10 hand protection products. The brackets are arranged at 30° intervals around the electrodes to ensure uniform arc exposure of the sample. Additionally, a panel calorimeter is installed on the surface of the bracket. The arc protection hand protection product sample 12 is placed on the bracket 11 and in contact with the panel calorimeter to ensure accurate temperature data monitoring. Simultaneously, the monitoring sensing unit is a monitoring calorimeter. The panel calorimeter and the monitoring calorimeter are on the same horizontal plane and are used to collect temperature data during the test. Preferably, both the panel calorimeter and the monitoring calorimeter are copper disc calorimeters. These copper disc calorimeters are electrical-grade copper blocks with a diameter of 4±0.05cm and a mass of 18±0.05g, coated with matte black high-temperature paint (emissivity >0.9), and have a K-type or J-type thermocouple embedded in the center for accurate measurement of temperature changes.

[0040] like Figure 2 As shown, the arc flash protection hand protection product testing device also includes multiple conductive steel pipes 3, an upper power connection pipe 4, an upper electrode sleeve 5, a lower power connection pipe 6, a lower electrode sleeve 7, and corresponding mounting components and insulation components (such as the entire device being mounted on an insulating mounting plate 9). The multiple conductive steel pipes 3 are evenly distributed and form a cage-like structure. The electrode assembly, support, and monitoring sensing unit are all fixedly installed inside the cage-like structure. The upper and lower electrodes of the electrode assembly are respectively built into their corresponding electrode sleeves. The power supply current from the power module enters the upper electrode built into the upper electrode sleeve through the upper power connection pipe, flows through the fuse into the lower electrode built into the lower electrode sleeve, and the current in the lower electrode flows sequentially through the conductive steel pipe and the lower power connection pipe back, forming a test circuit.

[0041] Furthermore, the aforementioned testing device is also equipped with a data acquisition unit, including a Rokowski coil, a voltage divider, and a high-speed ADC, which can monitor the arc parameter data during the testing process in real time, including the effective and peak values ​​of the arc current, the arc voltage, and the duration. The arc current and voltage sampling rate is ≥2000 times / second. The calorimeter in the device synchronously acquires thermal response parameter data, with a temperature sampling rate ≥100 times / second, ensuring the timeliness and accuracy of data acquisition.

[0042] Furthermore, the aforementioned testing device also includes a camera monitoring unit. This unit, based on IP network video technology (IPVS), uses cameras distributed throughout the test loop (including monitoring points for the power module, voltage acquisition points, current acquisition points, and the testing device itself) to monitor the entire testing process. Operators can control the pan-tilt unit (PTZ) by moving it up, down, left, and right, and adjust the focus and zoom of the lens. They can also switch between multiple cameras and the PTZ via the control unit. The monitoring screen can be independently configured and selected, and it features real-time image storage and video playback capabilities, displayed on a video wall.

[0043] Based on the aforementioned camera monitoring unit, sample state data such as burn results, cracking state, and material response are simultaneously acquired during the testing process. Burn results are categorized as no burn and burn (i.e., 0 / 1), determined based on temperature data combined with the Stroll curve; cracking state is categorized as no crack and crack (i.e., 0 / 1), determined through observation; material response includes melting and dripping, determined through camera monitoring records.

[0044] As a further technical solution, the data analysis and calculation module is responsible for data processing, parameter adjustment, and result output, and uses an industrial-grade host computer and dedicated software to achieve the following functions: 1) Data storage and preprocessing: Real-time storage of various types of collected data, supporting data traceability and waveform playback; 2) Modeling and Calculation: Core indicators such as ATPV and EBT are calculated using a logistic regression model; 3) Parameter adjustment: The power-on duration is dynamically adjusted based on historical test data to ensure compliant data distribution; 4) Output results: Generate a complete test report including arc protection level, data distribution report, and abnormal event record.

[0045] Example 2 Based on the arc protection testing system for the arc protection hand protection product proposed in Embodiment 1, arc protection testing of the arc protection hand protection product is carried out. During the test, the arc protection performance test circuit is remotely controlled through the testing system (including remote operation of isolating switches, remote operation of circuit breaker closing, etc.) to control the duration of the arc protection performance test. Voltage, current and other relevant data (such as arc voltage, current, etc.) at each data acquisition point in the test circuit are collected, data from the copper disk calorimeter are collected, and the collected test parameter data are analyzed and processed. A test report is generated based on the analysis results.

[0046] Considering that existing arc protection fabric protection testing systems already possess basic test setup and data acquisition capabilities, capable of collecting parameters such as arc voltage, current, and temperature, and calculating arc protection performance indicators such as ATPV through logistic regression analysis, the entire data analysis and processing process will not be elaborated upon here. However, current data analysis and processing methods have certain problems in practical applications, resulting in low efficiency and low accuracy in arc protection performance calculation. Specifically, existing methods only require the collection of a set number of data points for ATPV calculation, but do not specify the data distribution requirements. This may lead to data being concentrated in non-core areas, with insufficient data in core areas, affecting the accuracy of the final ATPV value calculation. During testing, parameters are manually adjusted multiple times to achieve the set data volume, but this manual parameter adjustment cannot selectively supplement the required data, resulting in many invalid tests and low testing efficiency. To address these problems, this embodiment proposes an arc protection testing method for arc protection hand protection products based on existing calculation strategies. This method includes the following steps: Step S1: Initialize the arc protection test system, install the arc protection hand protection product sample in the system, preset the arc parameters, and after starting the test, synchronously collect power supply, arc, thermal response and sample status data.

[0047] Specifically, the experimental objectives and initial parameters are first defined to lay the foundation for subsequent experiments. In this embodiment, a minimum data point threshold is set for the ATPV ± 20% range. (e.g., 20), this threshold can be flexibly adjusted according to the required testing accuracy. The larger the value, the higher the accuracy of ATPV measurement; at the same time, a preset initial energizing duration sequence is set, with a value range of 10ms-100ms and a step size of 10ms (i.e., 10ms, 20ms, ..., 100ms) to ensure that the initial data can cover a wide range of energy; based on the arc protection test system, the first batch of tests is carried out according to the initial energizing duration sequence, and the number of the first batch of tests is no less than 5 to ensure the stability of the subsequent model fitting.

[0048] During the aforementioned testing process, core data was acquired to provide a foundation for subsequent analysis. This included real-time acquisition of test parameter data such as arc parameters, thermal response parameters, and sample status data of the arc-resistant hand protection product. This data was processed to obtain three sets of core data: arc energy E (unit: cal / cm²), energizing duration T (unit: ms), and test result Y. The criteria for determining the test result Y were as follows: if the arc-resistant hand protection product sample could not block the arc heat, causing the simulated skin (or calorimeter) to reach the second-degree burn threshold, it was marked as 1 (burn); if it could effectively block the arc heat and did not reach the burn threshold, it was marked as 0 (no burn). Preferably, the acquired data and the processed data were stored in real-time to ensure data traceability and reusability.

[0049] Step S2: Based on the collected multi-source data, calculate the incident energy under the current arc parameters to divide the energy range, and estimate the ATPV by using a logistic regression model.

[0050] First, data preprocessing and partitioning are performed. By analyzing the data distribution characteristics, the division of different energy ranges is clarified, providing a basis for subsequent modeling and adjustment. Specifically, all historical test data are extracted, sorted by arc energy E from smallest to largest, and the corresponding test result Y for each energy value is recorded. Based on these data, the 0 / 1 mixed zone, the interval below the mixed zone, and the interval above the mixed zone are identified, and the number of data points in each of the three intervals is counted to preliminarily determine whether the data distribution is reasonable.

[0051] The mixing zone is defined as follows: the starting point is the energy value corresponding to the first test result Y=1 (Y is 0 for all previous data), and the ending point is the energy value corresponding to the last test result Y=0 (Y is 1 for all subsequent data). The test results within the mixing zone can be either 0 or 1, representing the core interval reflecting the transition of the sample's protective performance. Based on this, three energy intervals can be defined: ① The interval below the mixing zone (never burn zone): the interval with energy less than the starting point of the mixing zone, where Y is 0 for all data; ② The mixing zone: the energy interval from the starting point to the ending point; ③ The interval above the mixing zone (inevitably burn zone): the interval with energy greater than the ending point of the mixing zone, where Y is 1 for all data.

[0052] Secondly, logistic regression modeling and parameter calculation were performed. A correlation model between energy and burn probability was established, the core parameter ATPV was calculated, and data volume in key intervals was statistically analyzed. Specifically, using arc energy E as the independent variable and burn probability P (Y=1) as the dependent variable, a logistic regression model was established to fit the relationship between arc energy E and burn probability P. This logistic regression model can be expressed as: ; in, For the intercept term, is the regression coefficient.

[0053] Based on this, the predicted ATPV is calculated, that is: ATPV is defined as the arc energy value corresponding to a burn probability P=0.5. This is obtained by solving a logistic regression model. The energy value E corresponding to 0.5 is ATPV.

[0054] Step S3: Count the number of data points within the predicted ATPV range, verify the compliance of the data point distribution, and adjust the power-on time based on the relationship between historical energy values ​​and power-on duration to conduct supplementary tests until the data point distribution is compliant.

[0055] Specifically, based on the estimated ATPV, the amount of data in the key interval is counted. That is, based on the data obtained above, the number of data points N that fall within the ATPV ± 20% interval, i.e., the interval [0.8×ATPV, 1.2×ATPV], is counted. This interval is the core interval for accurate ATPV measurement. The more data points there are, the more stable the measurement result will be.

[0056] Next, a compliance assessment is performed, determining whether the current data meets the calculation requirements and deciding whether additional experiments are needed. Specifically, if... This indicates that the amount of data in the core area is sufficient and the data distribution meets the basic requirements for ATPV calculation, allowing the subsequent steps of calculating protection indicators to proceed; if This indicates that there is a gap in the data of the core region. Directly measuring ATPV will lead to insufficient accuracy. Parameter adjustment and supplementary experiments are required to supplement the data of the core region in a targeted manner.

[0057] As a further implementation method, supplementary tests are conducted by adjusting the energizing duration based on historical energy-time ratios. This parameter adjustment and supplementary testing strategy intelligently regulates the energizing duration, selectively supplementing data from the core region and improving data validity.

[0058] Step S3.1: Based on the currently acquired data, fit an energy-duration relationship model, that is, fit a model relating the arc energy E to the energizing duration T. Specifically, based on all historical test data, use linear regression or multinomial regression to fit the model relating the arc energy E to the energizing duration T. If the data shows a linear correlation, a linear model E = a + b × T (where a is a constant term and b is a regression coefficient) can be used; if the correlation is complex, a multinomial model can be used to improve the fitting accuracy.

[0059] Step S3.2: Based on the set number of data points The difference between the current number of data points N and the current number of data points N determines the number of data points that need to be added. 'n' represents the difference between the current core interval data points and the target threshold, i.e., the minimum number of data points required to obtain through supplementary experiments. 'n' target energy values ​​are selected at equal intervals within the interval [0.8×ATPV, 1.2×ATPV]. Each target energy value is represented as (i=1,2,…,n), in order to ensure that the supplementary data can be evenly distributed in the core interval and improve the stability of the model.

[0060] Step S3.3: Set the target energy value for each target energy value. Substituting the fitted energy-duration relationship model above, we can deduce the corresponding target energization duration. For example, for a linear model, its derivation yields: =( -a) / b.

[0061] Preferably, to avoid repeated trials, historical test power-on duration records can be queried; if the predicted... If the difference from a certain historical duration is less than a preset threshold (e.g., 1ms), then... Apply random perturbations (e.g., ±0.5ms) to ensure that the power-on duration is not repeated for each test, thus avoiding data redundancy.

[0062] Step S3.4: Perform supplementary tests. Follow the adjusted target power-on duration. The control and testing system conducts the experiment and collects the arc energy of the new experiment. Power-on duration and test results New data is stored in the data storage module in real time.

[0063] Finally, continuous iteration and optimization are performed to improve the dataset and ensure it meets compliance requirements. Specifically, after the supplementary experiment is completed, newly collected data is added to the dataset, and historical data is updated; steps S2 and S3 are executed iteratively to re-perform data preprocessing and partitioning, logistic regression modeling and parameter calculation, and compliance assessment, until... The core interval data volume meets the requirements, and the iterative optimization process ends.

[0064] Step S4: Calculate the protection index, comprehensively evaluate the protection performance of the product, and determine the final arc protection level.

[0065] Specifically, based on a compliant dataset and combined with temperature data collected by copper calorimeters in the arc flash protection hand protection product testing device, the initial temperature, average heat capacity, and incident energy of each copper calorimeter are calculated. The average heat capacity is obtained by averaging the heat capacities corresponding to the initial and final temperatures, and the incident energy is calculated using the formula Q = (mass × (final temperature - initial temperature) × average heat capacity) / area.

[0066] Furthermore, based on the above results, the incident energy transmittance was calculated. This is the ratio of the maximum average heat generated by the sample fixing panel to the maximum average incident energy of the monitoring calorimeter, which is then expressed using the formula... Calculate the heat decay coefficient (HAF) for each group of samples, and take the average value of all data points as the final HAF. The higher the HAF value, the better the heat insulation effect of the product.

[0067] Meanwhile, the fracture state of each sample during the test was recorded (fractured samples were marked as 1, and unfractured samples were marked as 0). A logistic regression model was established with the maximum average incident energy as the independent variable and the fracture state as the dependent variable to solve for the energy value corresponding to a 50% fracture probability, which is the fracture threshold energy (EBT). The higher the EBT value, the stronger the product's fracture resistance.

[0068] Finally, the final level is determined based on the relationship between ATPV and EBT: if EBT≤ATPV, it means that the product has broken before reaching the energy corresponding to ATPV, and the protection capability is determined by the breakage threshold, so EBT is recorded as the final arc protection level; if EBT>ATPV, it means that the product has not broken at the energy corresponding to ATPV, and the protection capability is determined by the thermal protection performance, so ATPV is recorded as the final arc protection level.

[0069] By focusing on the core range of ±20% of ATPV and supplementing data in a targeted manner, the problems of scattered data distribution and insufficient data in the core range in existing strategies can be solved, ensuring the accuracy of ATPV measurement and reducing the measurement deviation by more than 30%. By fitting a model of the relationship between energy and energization time, test parameters can be dynamically adjusted to avoid blind testing, effectively improve testing efficiency, and significantly reduce test costs and energy consumption. Finally, not only is the ATPV value accurately calculated, but also key indicators such as HAF and EBT are combined to comprehensively reflect the thermal insulation performance and tear resistance of the fabric, ensuring the scientificity and reliability of the protection level determination.

[0070] As another implementation method, the aforementioned uneven distribution of energy range data only focuses on the central core area, ignoring the potential insufficiency of data in the low / high energy ranges. This makes it difficult to effectively assess the boundary performance of product protection. Therefore, the optimization method for compliant data distribution can be further refined. Specifically, the data is sorted by arc energy E to identify the never-burn zone, the inevitably-burn zone, and the mixed zone. The number of data points in each zone is counted. Based on this, a logistic regression model is used to fit the data and calculate three key parameters: ATPV (energy at P=0.5), E05 (energy at P=0.05, the theoretical upper limit of the never-burn zone), and E95 (energy at P=0.95, the theoretical lower limit of the inevitably-burn zone). The number of data points in each range, i.e., the number of points with energy < E05, is then counted. Energy > E95 points And the number of data points N with energy in the range [0.8×ATPV, 1.2×ATPV], and the total number of data points. .

[0071] Further compliance assessment is then performed, determining whether the current data meets the calculation requirements and deciding whether additional experiments are needed. In this embodiment, three core compliance conditions are set for verification, including: That is, the area that will never be burned accounts for ≥15%; That is, the area of ​​inevitable burns accounts for ≥15%; That is, the central core area accounts for 50%-70%.

[0072] Finally, supplementary tests were conducted by dynamically adjusting the power-on duration. That is, the required supplementary data points were determined for each interval based on the actual situation, in the corresponding intervals (e.g., [0, E05], [0.8×ATPV, 1.2×ATPV], [E95, ...). Within the range of points, select the required number of target energy values ​​at equal intervals. Based on the fitted relationship model between arc energy E and energization duration T, determine the corresponding energization duration for supplementary testing. After each supplementary test, add the new data to the dataset, recalculate the key parameters and compliance conditions, and continue testing until all three compliance conditions are met simultaneously and the total data points are ≥ a set value, such as 20. Then stop the test and repeat the HAF and EBT calculation and rating process in step S4 above to determine the arc protection level of the sample.

[0073] As a further technical solution, the above testing process also includes: real-time monitoring of power supply data, identification of anomalies through multi-criteria fusion decision-making and generation of start / stop control commands, control of the start / stop module to cut off the test circuit, and activation of protection actions to effectively avoid unexpected safety hazards, etc.

[0074] The steps involved in the above embodiment two correspond to those in embodiment one. For specific implementation details, please refer to the relevant description section of embodiment one.

[0075] The above description is only a preferred embodiment of the present invention. Although the specific implementation of the present invention has been described in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that, based on the technical solution of the present invention, various modifications or variations that can be made by those skilled in the art without creative effort are still within the scope of protection of the present invention.

Claims

1. An arc protection testing system for arc protection hand protection products, characterized in that, include: The power module is used to supply power for arc protection testing; The start / stop module is used to control the opening and closing operations of the power supply module according to the start / stop control command; The arc protection hand protection product testing device is used to match and fix the arc protection hand protection product, generate a test arc according to the power supply module, and collect arc protection test parameter data. The measurement and control protection module is used to monitor power supply parameter data in real time, identify abnormalities, and generate start / stop control commands; The measurement and control protection module includes: The data acquisition unit is used to monitor power supply parameter data in real time during the test process; the power supply parameters include power supply voltage, current, frequency, and insulation resistance. The multi-criteria fusion decision unit is used to extract and analyze features from multiple types of data collected in real time, and to make fusion decisions by combining multiple preset anomaly identification criteria to identify abnormal faults and their types. The protection execution unit is used to execute a graded protection strategy and generate start / stop control commands based on the identified abnormal fault type. The graded protection strategy is as follows: Level 1: If a transient interference is identified, UPS / voltage regulator compensation is activated; Level 2: If a continuous abnormality is identified, an alarm is triggered and data is recorded; Level 3: If a serious fault is identified, a control command is generated to control the trip. The measurement and control protection module also has an operation interlock function: based on the IEC 61850 GOOSE mechanism, it constructs an interlock relationship between the equipment and locks unauthorized manual opening and closing commands in test mode. It can only be unlocked by dual-factor authentication of physical key and electronic password. The data analysis and calculation module is used to acquire test parameter data during the arc protection test, dynamically adjust the power-on time of the start / stop module, perform multi-data acquisition and protection index calculation, and output the arc protection level result. The data analysis and calculation module is also used to adjust parameters for supplementary experiments. The parameter adjustment is as follows: based on the currently acquired data, a relationship model between arc energy E and energization duration T is fitted; the number of supplementary data points n is determined based on the difference between the set number of data points and the current number of data points; n target energy values ​​are selected at equal intervals within the interval [0.8×ATPV, 1.2×ATPV]; the target energization duration corresponding to each target energy value is deduced based on the relationship model; and supplementary experiments are conducted based on the target energization duration; the current number of data points is the number N of data points whose energy falls within the interval [0.8×ATPV, 1.2×ATPV]; ATPV is the energy value corresponding to P=0.5 obtained by fitting the relationship between arc energy E and burn probability P using a logistic regression model as the estimated ATPV.

2. The arc protection testing system for arc-proof hand protection products as described in claim 1, characterized in that, The power module adopts a dual-power redundant architecture with a backup generator and a battery pack. The power module is equipped with an intelligent ring network cabinet for remote monitoring of power supply to automatically locate faults and quickly restore power supply.

3. The arc protection testing system for arc-proof hand protection products as described in claim 1, characterized in that, The arc-proof hand protection product testing device includes an electrode assembly, a bracket, and a monitoring and sensing unit; The electrode assembly includes two electrodes fixed vertically and connected by a fused lead, which are used to generate a test arc. Several supports and monitoring sensing units are fixed on the horizontal plane between the two electrodes. The supports and monitoring sensing units are arranged at 30° intervals around the electrodes. The supports are used to match and fix the arc protection hand protection product, and a panel calorimeter is provided on the surface of the support. The arc protection hand protection product is placed on the support and is in contact with the panel calorimeter. The monitoring sensing unit is a monitoring calorimeter. The panel calorimeter and the monitoring calorimeter are on the same horizontal plane and are used to collect temperature data during the test.

4. The arc protection testing system for arc-proof hand protection products as described in claim 3, characterized in that, The arc-proof hand protection product testing device also includes multiple conductive steel pipes, an upper power supply connection pipe, an upper electrode sleeve, a lower power supply connection pipe, and a lower electrode sleeve. Multiple conductive steel pipes are evenly distributed and form a cage-like structure. The electrode assembly, support, and monitoring sensing unit are all fixedly installed inside the cage-like structure. The upper and lower electrodes of the electrode assembly are respectively built into the corresponding electrode tubes. The power supply current of the power module enters the upper electrode built into the upper electrode tube through the upper power connection pipe, and flows into the lower electrode built into the lower electrode tube through the fuse. The current in the lower electrode flows through the conductive steel pipe and the lower power connection pipe in sequence and returns, forming a test circuit.

5. The arc protection testing system for arc-proof hand protection products as described in claim 1, characterized in that, The test parameter data includes arc parameter data, thermal response parameters, and sample status data of the arc-proof hand protection product; The arc parameter data is collected by the shunt and voltage divider connected in series to the test circuit, including the effective and peak values ​​of the arc current, the arc voltage, and the duration. The thermal response parameter data is the temperature data collected by the calorimeter in the testing device; The sample state data includes burn results, fracture state, and material response; wherein, burn results are divided into no burn and burn, determined by temperature data combined with Stroll curves; fracture state is divided into no fracture and fracture, determined by observation; material response includes melting and dripping, determined by video monitoring and recording.

6. A method for testing the arc protection of an arc-resistant hand protection product, characterized in that, An arc protection testing system based on the arc protection hand protection product as described in any one of claims 1-5 includes: Initialize the arc protection test system, install the arc protection hand protection product sample in the system, preset the arc parameters, and after starting the test, synchronously collect power supply, arc, thermal response and sample status data; Based on the collected multi-source data, the incident energy under the current arc parameters is calculated to divide the energy range, and the ATPV is estimated by using a logistic regression model. The number of data points within the ATPV set range is estimated statistically, and the compliance of the data point distribution is verified. Based on the relationship between historical energy values ​​and energizing duration, the energizing duration is adjusted for supplementary tests until the data point distribution is compliant. Based on the compliant data obtained after adjustment, the protection index value is calculated and the arc level is determined. After generating a report, the system is reset.

7. The arc protection test method for the arc-proof hand protection product as described in claim 6, characterized in that, The process of adjusting the power-on duration for supplementary testing is as follows: The arc energy E, energizing time T, and sample response result Y are obtained for each test; in the sample response result Y, burn is marked as 1 and no burn is marked as 0. All experimental data were sorted in ascending order of arc energy E, and the 0 / 1 mixing zone, the interval below the mixing zone, and the interval above the mixing zone were identified. The mixing zone is the energy interval from the first 1 to the last 0. The interval below the mixing zone is the interval with energy less than the starting point of the mixing zone, and the interval above the mixing zone is the interval with energy greater than the ending point of the mixing zone. The relationship between arc energy E and burn probability P was fitted using a logistic regression model. The energy value corresponding to P=0.5 was calculated as the estimated ATPV. The number N of current data points with energy falling within the interval [0.8×ATPV, 1.2×ATPV] was counted. If the current number of data points is not less than the set number of data points, the data point distribution is judged to be compliant, and the protection index calculation steps are performed. Otherwise, parameter adjustment and supplementary tests are performed, the data from the supplementary tests are added to the dataset and the judgment is re-evaluated until the compliance judgment criteria are met.

8. The arc protection test method for the arc-resistant hand protection product as described in claim 7, characterized in that, The parameters for the supplementary experiment are adjusted as follows: Based on the currently acquired data, fit a model relating arc energy E to energization duration T. Determine the number of supplementary data points n based on the difference between the set number of data points and the current number of data points. Select n target energy values ​​at equal intervals within the interval [0.8×ATPV, 1.2×ATPV]. Based on the relational model, the target energization time corresponding to each target energy value is calculated, and supplementary experiments are conducted based on the target energization time.

9. The arc protection test method for the arc-resistant hand protection product as described in claim 6, characterized in that, The testing process also includes: Real-time monitoring of power supply data, identification of anomalies through multi-criteria fusion decision-making, and generation of start / stop control commands to control the start / stop module to cut off the test circuit.

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