A parallel test method and test system for multi-feed line terminals
By using a parallel testing method for multiple feeder terminals, we have achieved efficient, accurate, and standardized unattended testing, which solves the problems of low efficiency, poor accuracy, and unstable communication in feeder terminal unit testing and is suitable for mass production requirements.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN SHENLIU INFORMATION TECH CO LTD
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-21
AI Technical Summary
Existing feeder terminal unit testing technologies cannot meet the requirements for efficient, accurate, and standardized batch testing, and suffer from problems such as cumbersome manual operation, low testing efficiency, poor calibration accuracy, and unstable communication.
A multi-feeder terminal parallel testing method is adopted. Conflict-free parallel testing is achieved through resource mutual exclusion judgment and dynamic arbitration scheduling. Combined with automatic calibration, closed-loop testing and protocol optimization, the entire process can be executed unattended.
It significantly improves testing efficiency and accuracy, solves the problems of low efficiency, poor calibration accuracy, and unstable communication in single-unit serial testing, adapts to the needs of mass production, and generates standardized test reports.
Smart Images
Figure CN122437247A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of feeder automation terminal technology, specifically to a parallel testing method and testing system for multiple feeder terminals. Background Technology
[0002] As the core underlying terminal equipment of the distribution automation system, the feeder terminal unit is widely deployed in key nodes such as distribution network lines, ring main units, switch stations, and pole-mounted switches. It undertakes core functions such as real-time monitoring of distribution network operation status, remote control operation, fault diagnosis, fast protection tripping, and data uploading. Its analog quantity acquisition accuracy, protection action response speed, communication stability, and functional logic reliability directly determine the fault isolation speed, power supply restoration efficiency, and overall operational safety of the distribution network. It is a core basic equipment to ensure the intelligent, stable, and reliable operation of the distribution network.
[0003] With the large-scale construction of distribution networks and the mass production and application of feeder terminal units, the testing requirements for terminal factory testing, batch verification, and operation and maintenance retesting continue to increase. Existing feeder terminal unit testing technologies and solutions have significant limitations and cannot meet the needs of efficient, accurate, and standardized batch testing. Existing testing technologies mainly have two core defects: First, traditional testing solutions are centered on manual operation and only support serial testing of a single feeder terminal unit. The entire process, including parameter configuration, test instrument operation, data recording, and result judgment, must be completed manually. The testing steps are cumbersome, involve a high degree of human intervention, and are prone to operational errors and data recording errors. Moreover, the single-unit serial testing mode is extremely time-consuming and cannot be adapted to batch testing. The high-efficiency testing requirements for production and centralized testing are severely hampered by insufficient matching between testing efficiency and production capacity. Secondly, the testing process lacks standardized and automated mechanisms. Analog signal acquisition and calibration rely on manual control of test instrument output and manual calculation of calibration coefficients. Calibration accuracy is greatly affected by human operation and has poor adaptability to different scenarios. Communication protocol parameter configuration is complex and prone to address mismatch and link interruption problems. Protection function testing requires manual application of fault quantities, manual timing, and subjective judgment. Judgment standards are inconsistent and test accuracy is low. At the same time, test data, communication messages, and operation logs are stored in a scattered manner, making it impossible to automatically generate standardized test reports. Test results have poor traceability and are difficult to meet the standardized requirements of factory inspection and quality control. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention first provides a parallel testing method for multi-feeder terminals. It achieves conflict-free parallel testing of multiple devices through resource mutual exclusion determination and dynamic arbitration scheduling, and realizes unattended execution of the entire process through automatic calibration, closed-loop testing, and protocol optimization, effectively improving testing efficiency and accuracy.
[0005] The parallel testing method for multiple feeder terminals described in this invention includes: establishing multiple independent and isolated communication links for multiple feeder terminals and connecting them to monitoring; configuring test resource mutual exclusion rules, dividing exclusive and shared resources, and establishing the occupancy relationship between test items and resources; performing real-time conflict detection on parallel test tasks according to the resource mutual exclusion rules, and performing dynamic arbitration and mutual exclusion management on conflicting tasks to enable time-sharing reuse of exclusive resources and concurrent execution of shared resources; controlling multiple feeder terminals to perform fully automated testing in parallel according to the result of the dynamic arbitration scheduling, wherein the automated testing includes at least automatic calibration of analog signal acquisition accuracy and closed-loop automatic testing of protection functions; automatically determining the pass / fail status of protection function test results using a multi-dimensional judgment model based on the acquired data from the closed-loop automatic testing of protection functions; and automatically generating a standardized test report based on the full-process data after the test is completed.
[0006] In one possible implementation, the test resource mutual exclusion rule adopts a two-dimensional logical state matrix. The matrix rows correspond to standardized test items, the columns correspond to exclusive resources and shared resources, and the cells are marked with logical states indicating the type of resource occupation by the test item. During real-time conflict detection and dynamic arbitration scheduling, the test task resource occupation set is extracted to determine whether they are competing for the same exclusive resource. When a conflict occurs, the task priority is calculated according to preset rules. The high-priority task obtains mutual exclusion permission to execute the test, while the low-priority task waits. After the high-priority task completes, it releases the permission and wakes up the waiting task.
[0007] In one possible implementation, the automatic calibration of analog quantity acquisition accuracy includes: sampling data based on the multi-level standard analog quantity output by the testing instrument; automatically calculating calibration coefficients based on a linear fitting algorithm after noise reduction processing of the sampled data; and automatically writing the calibration coefficients into the feeder terminal to complete the accuracy calibration.
[0008] In one possible implementation, the closed-loop automatic test of the protection function includes: sequentially executing the entire process of automatic protection setting issuance, test instrument initialization, automatic fault quantity injection, real-time monitoring of action signals, action time calculation, automatic result determination, and automatic test reset; the multi-dimensional determination model performs item-by-item determination on the protection action logic, action time accuracy, event record integrity, and state change accuracy, and performs a logical AND operation on each item result. If all items are qualified, the final determination is qualified.
[0009] In one possible implementation, the parallel testing method also ensures data interaction and event acquisition through a communication mechanism adapted to parallel testing, including creating an independent communication instance for each feeder terminal, dynamically and adaptively adjusting communication parameters, achieving test synchronization through a dedicated synchronization frame, and using a sliding window mechanism to complete lossless reception and reassembly of test events.
[0010] Based on the same inventive concept, the present invention also provides a parallel testing system for multi-feeder terminals. The system is used to execute the above-mentioned parallel testing method and includes a multi-terminal management unit, a communication isolation unit, a resource arbitration and scheduling unit, a test instrument control unit, a test execution unit, an analog calibration unit, a protection function test unit, an enhanced communication unit, and a report generation unit that work together.
[0011] The multi-terminal management unit works in conjunction with the communication isolation unit to achieve synchronous access and communication isolation of multiple feeder terminals; the resource arbitration and scheduling unit performs real-time conflict detection and dynamic arbitration scheduling for parallel test tasks based on preset test resource mutual exclusion rules; the test execution unit, based on the resource arbitration and scheduling results, coordinates with the test instrument control unit, analog calibration unit, and protection function test unit to control multiple feeder terminals to perform fully automated testing in parallel; the enhanced communication unit is used to complete test data interaction and event acquisition; and the report generation unit automatically generates standardized test reports based on the full-process test data.
[0012] The protection function test unit is configured to automatically issue protection settings, inject control fault quantities, monitor action signals and event records in real time, calculate action time, and complete automatic qualification judgment and automatic test resetting through a multi-dimensional judgment model; the analog quantity calibration unit is configured to output multi-level standard analog quantities in conjunction with the test instrument control unit, and complete data sampling, noise reduction processing, automatic calculation of calibration coefficients, and batch writing; the enhanced communication unit is configured to create an independent communication instance for each feeder terminal, dynamically and adaptively adjust communication parameters, achieve test synchronization through a dedicated synchronization frame, and complete lossless reception and reconstruction of test events using a sliding window mechanism.
[0013] Compared with the prior art, the present invention has the following advantages: 1. By implementing independent communication isolation, mutual exclusion determination of test resources, dynamic arbitration scheduling, and parallel automated testing, the shortcomings of low efficiency, excessive manual intervention, and inability to perform batch testing of single-unit manual serial testing are completely solved. This enables conflict-free parallel testing of multiple feeder terminals, eliminating the need for manual operation throughout the entire process, significantly shortening the testing cycle, and fully adapting to the large-scale needs of mass production and factory testing.
[0014] 2. By implementing fully automatic analog calibration, four-dimensional standardized judgment of protection functions, and enhanced communication protocol optimization, the defects of poor test calibration accuracy, inconsistent protection judgment standards, and easy communication failure are solved. The analog quantity acquisition error is controllable, the protection action judgment is accurate and compliant, and the communication is stable without disconnection or message loss in parallel test scenarios. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of the parallel testing method for the multi-feeder terminal of the present invention; Figure 2 This is a schematic diagram of the parallel testing system architecture for the multi-feeder terminal of the present invention. Detailed Implementation
[0016] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.
[0017] like Figure 1 As shown, a parallel testing method for multi-feeder terminals includes... This embodiment details the entire execution process of the parallel testing method described in this invention: S1. Establish independent communication links for multiple terminals: After the system starts, multiple independent and isolated TCP communication links are established for multiple feeder terminals. Each terminal is assigned an independent communication configuration, and a heartbeat keep-alive mechanism is started to complete device access and status monitoring, ensuring that the communication between multiple terminals does not interfere with each other.
[0018] S2. Configure Test Resource Mutual Exclusion Rules: The system pre-configures test resource mutual exclusion rules, which use a two-dimensional logical state matrix. This matrix classifies test instrument analog output channels, analog calibration channels, program writing channels, and fault injection channels as exclusive resources, and communication processing thread pools, data storage units, and message parsing units as shared resources. Matrix cells indicate the exclusive, shared, or non-occupied status of each test item for the resource. See below: S3. Real-time resource conflict detection and dynamic arbitration: When multiple feeder terminals initiate parallel testing, the system extracts the resource occupancy set of each test task in real time based on the test resource mutual exclusion rules, and determines whether multiple tasks apply for the same exclusive resource. If a resource conflict is determined, the system calculates the task priority weight according to preset rules, controls the high-priority task to obtain the exclusive right to the exclusive resource and execute the test, and the low-priority task enters the blocked waiting state. After the high-priority test task is completed, the system releases the mutual exclusion right and wakes up the waiting task. The waiting task turns into the ready state and takes over the corresponding resource, realizing the time-sharing reuse of exclusive resources and the concurrent execution of shared resources.
[0019] S4. Parallel execution of automated testing: Based on the dynamic arbitration scheduling results, the system controls multiple feeder terminals to perform automated testing in parallel, and simultaneously conducts automatic calibration of analog quantity acquisition accuracy and closed-loop automatic testing of protection functions; during the analog quantity calibration process, the system controls the test instrument to output multiple levels of standard analog quantities, performs extreme value removal and averaging noise reduction processing on the sampled data, and automatically calculates the calibration coefficients based on the linear fitting algorithm and writes them to the feeder terminals in batches.
[0020] S5. Multi-dimensional automatic judgment of protection function test: During the closed-loop test of protection function, the system automatically issues protection settings and completes the initialization of the test instrument, injects fault quantities according to preset rules, and monitors protection action signals, event records and fault quantity values in real time, and calculates the action time with millisecond-level accuracy; a multi-dimensional judgment model is used to verify the protection action logic, action time accuracy, event record integrity and state change accuracy respectively, and the four judgment results are logically ANDed. The protection function test is judged to be qualified only when all items are qualified, and the reason for failure is marked if any item is unqualified.
[0021] During testing, the system ensures stable data interaction by enhancing communication mechanisms, creating an independent communication instance for each feeder terminal, dynamically adjusting communication parameters according to the test status, synchronizing test triggering and timing through dedicated synchronization frames, and using a sliding window mechanism to cache and reassemble test events to achieve lossless event reception.
[0022] S6. Automatically generate standardized test reports: After all tests are completed, the system automatically collects test data, calibration parameters, test records, and communication logs, and generates a standardized test report containing test details, pass rate, error analysis, and calibration coefficients, completing the entire process of unattended parallel testing.
[0023] The present invention also provides a test system for performing the aforementioned test methods, such as... Figure 2 As shown, the testing system includes: The system includes a multi-terminal management unit, a communication isolation unit, a resource arbitration and scheduling unit, a test instrument control unit, a test execution unit, an analog calibration unit, a protection function test unit, an enhanced communication unit, and a report generation unit.
[0024] The multi-terminal management unit enables access identification, information management, status monitoring, and work area switching for multiple feeder terminals, and displays the operating status and test results of each terminal in real time. The communication isolation unit configures an independent IP, port, and IEC104 parameters for each feeder terminal, establishes multiple independent TCP links, and achieves complete isolation of communication between multiple devices.
[0025] The resource arbitration scheduling unit has a built-in test resource mutual exclusion matrix, which detects resource requests of parallel test tasks in real time, performs conflict determination, priority calculation, mutual exclusion lock management and task wake-up, and resolves resource preemption conflicts in multi-terminal parallel testing.
[0026] The test execution unit schedules the test process uniformly based on the resource arbitration scheduling results, supports batch test control and single test operation, and identifies the test status in real time; the test instrument control unit integrates relay protection device driver to realize independent control of three-phase voltage, current, frequency and phase, and has safety interlock function.
[0027] The analog quantity calibration unit, in collaboration with the test instrument control unit, completes multi-level sampling, extreme value removal and averaging, linear fitting coefficient calculation and batch automatic writing, realizing automated calibration of analog quantity acquisition accuracy; the protection function test unit performs setting value issuance, fault injection, action monitoring, time calculation, multi-dimensional judgment and automatic reset, completing the closed-loop test of protection function.
[0028] The enhanced communication unit enables multi-terminal communication instance isolation, dynamic adjustment of communication parameters, test synchronization frame interaction, and lossless reassembly of test events, adapting to high-concurrency communication scenarios of multi-terminal parallel testing; the report generation unit automatically collects test data throughout the entire process, generates standardized test reports, and supports export and retention.
[0029] Because resource conflicts are prone to occur during parallel testing, this invention employs a unique resource conflict resolution method, as follows: The system performs real-time conflict determination based on the test resource mutual exclusion matrix. When test tasks of multiple feeder terminals apply for resources at the same time, it first determines whether the task applies for exclusive resources, and then queries the matrix to confirm whether it applies for the same exclusive resource. If they are consistent, it is determined to be a resource conflict.
[0030] After a conflict occurs, the system initiates a priority arbitration mechanism. Based on the device serial number and the remaining timeout of the task, the priority weight of the task is calculated. The high-priority task acquires mutual exclusion permission and enters the execution state, while the low-priority task enters the blocked state. After the high-priority task completes its execution and test return, the system releases the mutex lock and sends a wake-up signal to the blocked task. The blocked task then transitions to the ready state and takes over the test resources, thus completely resolving the preemption conflict between the relay protection device hardware channel and the protocol processing thread.
[0031] To address the technical problems of existing feeder terminal analog quantity calibration, such as reliance on manual operation, error-prone calculation coefficients, poor adaptability to multiple regions, and low calibration accuracy, this paper proposes to achieve multi-mode, fully automatic, and high-precision AD acquisition and calibration.
[0032] In the analog calibration process, this invention employs the following method: The S401, a collaborative testing instrument, outputs multiple levels of standard analog signals, covering key calibration points across the entire range of voltage and current, and supports calibration level configurations adaptable to multiple regions.
[0033] S402. Perform 1 to 50 rounds of sampling on the sampling data fed back by the terminal, perform extreme value removal and averaging processing, eliminate random errors, and improve the stability of the sampling data.
[0034] S403. The calibration coefficients are automatically calculated based on the linear regression formula Y=aX+b, where X is the standard output value of the relay protection instrument, Y is the actual acquired value of the feeder terminal, a is the slope, and b is the intercept. The coefficients are solved automatically.
[0035] S404. Write the calculated calibration coefficients into the feeder terminal in batches. Complete the entire calibration process of connecting the device, reading the gear position, calculating the coefficients, and writing the coefficients with one click. The calibration error is ≤0.2%.
[0036] To determine the validity of the test results, the system uses a multi-dimensional judgment model to assess the pass / fail status of the protection function test results, verifying each item of the protection action logic, action time accuracy, event record integrity, and state change accuracy.
[0037] The action logic judgment is based on the relationship between the fault injection amount and the protection setting value, and matches the remote signaling status of the protection action; the action time accuracy judgment is performed according to the preset threshold of instantaneous protection, time-limited protection, and zero-sequence protection; the event record integrity judgment verifies whether the timestamp, protection type, fault phase, fault value, and action nature are complete; the state change accuracy judgment verifies the logical compliance of remote signaling change during protection action and remote signaling reset after reset.
[0038] In one embodiment, the system reads the overcurrent I / II / III stages, zero-sequence overcurrent, overvoltage / undervoltage settings and operating time limits from the INI file, automatically sends them to the feeder terminal, and enables the protection output and tripping function. The control relay output is returned to zero, the channel self-test is completed, and the system enters the test-ready state. Standard fault quantities are injected according to preset rules: 1.2 times the setting value is injected for each overcurrent stage and zero-sequence overcurrent, 1.15 times the rated voltage is injected for overvoltage, and 0.7 times the rated voltage is injected for undervoltage, with millisecond-level timing starting simultaneously. Protection tripping remote signal changes, SOE event records, fault current / voltage values, and operating timestamps are collected in real time via the IEC104 protocol. The actual operating time is calculated with millisecond-level accuracy using the formula: Actual operating time = Fault injection time t1 - Protection operating time t2.
[0039] The four-dimensional joint Boolean decision model Final_Result=R is adopted. logic ∧R time ∧R SOE ∧R YX If all four items are qualified, the test is considered passed. Action logic determination: If the fault quantity is greater than or equal to the set value, the protection will operate; if the fault quantity is less than the set value, the protection will not operate. Time accuracy determination: Overcurrent stage I <100ms, timing definite error ≤±50ms or ±5%, zero sequence protection <120ms; SOE integrity determination includes timestamp, protection type, fault phase, fault value, and action nature. Remote signaling displacement determination: protection action displacement, reset after return.
[0040] Stop the relay protection device output, issue a reset command, clear the fault signal, and automatically proceed to the next test item.
[0041] The system performs a logical AND operation on the four individual judgment results. The protection function test is deemed qualified only when all individual judgments are qualified. If any individual judgment fails, the test is deemed to have failed, and the reason for the failure is automatically recorded.
[0042] The system has made adaptive improvements to the communication mechanism for multi-terminal parallel testing scenarios, creating an independent communication instance for each feeder terminal to achieve complete isolation of multi-terminal communication; the communication parameters are dynamically and adaptively adjusted according to the test status, with low resource consumption configuration used for normal testing and high throughput configuration switched for fault injection testing to avoid protocol disconnection.
[0043] The system defines a dedicated test synchronization frame within the standard protocol reserved range. At the instant the test instrument outputs a fault quantity, it sends a synchronization frame carrying a high-precision timestamp, which serves as the zero point for fault injection timing and eliminates asynchronous delay errors in command transmission. At the same time, it adopts a sliding window mechanism to buffer test event messages through a non-blocking circular queue, sorts and reassembles them according to their internal sequence numbers, and does not rely on standard acknowledgment frames, achieving 100% lossless reception of test events in high-concurrency scenarios.
[0044] In one embodiment, to prevent protocol disconnection during parallel testing, an independent protocol state machine is created for each feeder terminal, and a dynamic K / W adjustment algorithm is used for resource regulation. During the normal telemetry and telecommunications call phase, a low K value (e.g., K=4) is used to save memory. When the system issues a "fault injection start" control command (remote control) to a certain FTU, the K value of that instance automatically increases to a high threshold (e.g., K=100) within 10ms, and the W value increases synchronously (e.g., W=50). When a "protection reset" signal is received, the K / W value automatically returns to the baseline level. This improvement completely eliminates protocol layer disconnection during sudden faults.
[0045] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any indirect modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall fall within the scope of the present invention.
Claims
1. A parallel testing method for multi-feeder terminals, characterized in that, include: Establish multiple independent and isolated communication links for multiple feeder terminals and connect them to monitoring; Configure mutual exclusion rules for test resources, divide exclusive and shared resources, and establish the occupancy relationship between test items and resources; Real-time conflict detection is performed on parallel test tasks according to the resource mutual exclusion rules, and dynamic arbitration and mutual exclusion management are performed on conflicting tasks to enable time-sharing reuse of exclusive resources and concurrent execution of shared resources. Based on the results of the dynamic arbitration scheduling, multiple feeder terminals are controlled to perform fully automated testing in parallel. The automated testing includes at least automatic calibration of analog signal acquisition accuracy and closed-loop automatic testing of protection functions. Based on the collected data from the closed-loop automatic test of the protection function, a multi-dimensional judgment model is used to automatically determine the pass / fail status of the protection function test results. A standardized test report is automatically generated based on the data from the entire process after the test is completed.
2. The parallel testing method for multi-feeder terminals according to claim 1, characterized in that, The configuration of test resource mutual exclusion rules, which divides exclusive and shared resources and establishes the occupancy relationship between test items and resources, includes: The test resource mutual exclusion rule adopts a two-dimensional logical state matrix. The rows of the two-dimensional logical state matrix correspond to the standardized test items of the feeder terminal, and the columns correspond to the exclusive resources and shared resources of the system. The exclusive resources include the test instrument analog output channel, analog calibration channel, program burning channel, and fault injection channel; The shared resources include a communication processing thread pool, a data storage unit, and a message parsing unit. The matrix cells use logical states to indicate the resource occupancy type of the test item, which includes exclusive, shared, and no occupancy.
3. The parallel testing method for multi-feeder terminals according to claim 2, characterized in that, The step of performing real-time conflict detection on parallel test tasks according to the resource mutual exclusion rules, and performing dynamic arbitration and mutual exclusion management on conflicting tasks, includes: Extract the resource usage set corresponding to each test task, and determine whether multiple tasks request the same exclusive resource; If a resource conflict is determined to occur, the execution priority of each test task is calculated based on the preset priority rules; Control high-priority tasks to acquire exclusive access to resources and execute tests, while low-priority tasks enter a waiting state; Once a high-priority task has completed its test, it releases the mutual exclusion permission, wakes up waiting tasks, and takes over the corresponding test resources.
4. The parallel testing method for multi-feeder terminals according to claim 1, characterized in that, The automatic calibration of analog quantity acquisition accuracy includes: The test instrument outputs multiple levels of standard analog quantities and completes data sampling. After denoising the sampled data, the calibration coefficients are automatically calculated based on a linear fitting algorithm. The calibration coefficients are automatically written into the feeder terminal to complete the automated calibration of the analog signal acquisition accuracy.
5. The parallel testing method for multi-feeder terminals according to claim 1, characterized in that, The closed-loop automatic test of the protection function includes: The entire process of automatic operation is executed sequentially, including automatic distribution of protection settings, initialization of test instruments, automatic injection of fault quantities, real-time monitoring of action signals, calculation of action time, automatic judgment of results, and automatic test reset.
6. The parallel testing method for multi-feeder terminals according to claim 1, characterized in that, The method of automatically determining the pass / fail status of protection function test results using a multi-dimensional judgment model includes: Each aspect of the protection action logic, action timing accuracy, event log integrity, and state change accuracy is evaluated individually. Perform a logical AND operation on the results of each individual judgment. Only when all individual judgments are qualified is the protection function test result deemed qualified.
7. The parallel testing method for multi-feeder terminals according to claim 1, characterized in that, Also includes: Create an independent communication instance for each feeder terminal to achieve communication isolation; Dynamically and adaptively adjust communication parameters based on test status; Test triggering and timing synchronization are achieved through a dedicated synchronization frame; A sliding window mechanism is used to achieve lossless reception and reconstruction of test events, enabling test data interaction and event acquisition.
8. A parallel testing system for multi-feeder terminals, the system being used to execute the parallel testing method according to any one of claims 1-7, characterized in that, include Multi-terminal management unit, communication isolation unit, resource arbitration and scheduling unit, test instrument control unit, test execution unit, analog calibration unit, protection function test unit, and report generation unit; The multi-terminal management unit works in conjunction with the communication isolation unit to achieve synchronous access and communication isolation of multiple feeder terminals; The resource arbitration scheduling unit performs real-time conflict detection and dynamic arbitration scheduling of parallel test tasks based on preset test resource mutual exclusion rules. The test execution unit, based on the resource arbitration scheduling result, coordinates with the test instrument control unit, analog calibration unit, and protection function test unit to control multiple feeder terminals to perform fully automated tests in parallel. The report generation unit automatically generates standardized test reports based on the full-process test data.
9. The parallel testing system according to claim 8, characterized in that, The protection function test unit is configured as follows: It automatically issues protection settings, injects control fault quantities, monitors action signals and event records in real time, calculates action time, and completes automatic qualification judgment and automatic test reset through a multi-dimensional judgment model.
10. The parallel testing system according to claim 8, characterized in that, The analog calibration unit is configured as follows: The collaborative testing instrument control unit outputs multiple levels of standard analog signals to complete data sampling, noise reduction processing, automatic calculation of calibration coefficients, and batch writing, thereby achieving automated calibration of the analog signal acquisition accuracy of the feeder terminal.