A multi-field coupling accelerated corrosion test device simulating power grid environment

Abstract

The present application relates to the technical field of test device, especially to a multi-field coupling accelerated corrosion test device for simulating power grid environment, comprising a salt mist field regulation system, a temperature field regulation system, a humidity field regulation system, an electric field regulation system, a magnetic field regulation system and a real-time monitoring system integrated in a test box, and a central control system adopting parallel bus communication mode and internally provided with a hierarchical signal dynamic scheduling mechanism for priority grading, isolated transmission and bandwidth on-demand allocation of all measurement and control signals of each regulation system, a multi-field synchronous time sequence calibration mechanism for unifying the operation time sequence of each regulation system and adding a global time reference stamp to all measurement and control signals. The present application can avoid the problems of weak electrochemical monitoring signal and distortion loss of dynamic field strength signal, eliminate the multi-physical field loading time sequence disconnection problem caused by independent operation of each system, and improve the authenticity of power grid complex multi-field coupling service environment simulation and the reliability of test data.

Description

Technical Field

[0001] This invention relates to the field of testing equipment technology, and in particular to a multi-field coupling accelerated corrosion testing device that simulates a power grid environment. Background Technology

[0002] Power grid equipment is subjected to a complex outdoor service environment with coupling of multiple physical fields, including electric field, magnetic field, humidity, heat, and salt spray. The synergistic corrosion effect of these multiple fields is the core reason for problems such as corrosion of metal components and aging and failure of protective coatings in power grids. These problems directly affect the operational reliability and long-term service life of power grid equipment.

[0003] To address these issues, multi-field coupled corrosion tests are conducted in this field to evaluate the corrosion resistance of power grid materials, study corrosion mechanisms, and optimize protective processes. The hardware integration architecture of existing multi-field coupled corrosion testing equipment is relatively mature. Multi-field coupled testing is accomplished through integrated salt spray field control systems, temperature field control systems, humidity field control systems, electric field control systems, magnetic field control systems, and real-time monitoring systems within the test chamber.

[0004] However, during the use of the above equipment, due to the inherent defects in the top-level measurement and control transmission architecture and collaborative control logic, the following problems often arise: Traditional equipment uses a single-threaded polling signal transmission mode, which leads to disordered preemption of bus resources and interference between high and low speed signals. At the same time, it lacks unified timing linkage control logic for multiple physics fields, and each environmental and field quantity control system operates independently, resulting in a disconnect in the timing of multi-physics field loading and a spatiotemporal misalignment of monitoring data, equipment operating data, and sample status. Summary of the Invention

[0005] This invention provides a multi-field coupling accelerated corrosion test device that simulates a power grid environment, which can effectively solve the problems in the background technology.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A multi-field coupled accelerated corrosion test device simulating a power grid environment includes a test chamber, and integrated within the test chamber are a salt spray field control system, a temperature field control system, a humidity field control system, an electric field control system, a magnetic field control system, and a real-time monitoring system. It also includes a central control system, which employs a parallel bus communication mode and has the following built-in components: A hierarchical signal dynamic scheduling mechanism prioritizes, isolates, and allocates bandwidth to all measurement and control signals of each control system as needed; the measurement and control signals include first-priority core measurement and control signals, second-priority environmental coupling signals, and third-priority auxiliary monitoring signals. The multi-field synchronous timing calibration mechanism uses the hardware clock of the central control system as a global reference to unify the running sequence of each control system, and adds a global time reference stamp to all measurement and control signals after being processed by the hierarchical signal dynamic scheduling mechanism.

[0007] Furthermore, the first priority core measurement and control signal includes the dynamic closed-loop control signal sent by the central control system to the electric field control system and the magnetic field control system, as well as the sample corrosion rate and electrochemical parameter acquisition signal collected and transmitted back by the real-time monitoring system. The second priority environmental coupling signal includes the environmental control commands of the temperature field control system, humidity field control system, and salt spray field control system, as well as the feedback signals of the corresponding parameter acquisition. The third priority auxiliary monitoring signal includes the liquid level monitoring signal of the salt spray field control system, the temperature monitoring signal of each control system body, and the sample image storage signal of the real-time monitoring system.

[0008] Furthermore, the hierarchical signal dynamic scheduling mechanism also performs anti-interference preprocessing on the first priority core measurement and control signal.

[0009] Furthermore, the multi-field synchronous timing calibration mechanism embeds a timing coupling algorithm, which is configured sequentially from top to bottom as follows: The global timing unified calibration logic performs timing zero calibration on each of the control systems during the test initialization phase. The signal-physical field linkage adjustment logic, during the steady-state operation phase of the experiment, binds the transmission rhythm of the first priority core measurement and control signal and the second priority environmental coupling signal, and synchronously and adaptively adjusts the parameter output amplitude of each of the control systems according to the returned sample corrosion rate and electrochemical parameters.

[0010] Furthermore, the transmission rhythm of the first priority core measurement and control signal and the second priority environmental coupling signal is bound together, including: Based on the acquisition and transmission cycle of the first priority core measurement and control signal, the acquisition and transmission cycle of the second priority environmental coupling signal is set to N times the benchmark, where N is a positive integer; When the central control system sends the dynamic closed-loop control signal to the electric field control system and the magnetic field control system, it simultaneously triggers the issuance of corresponding environmental control commands to the temperature field control system, the humidity field control system and the salt spray field control system.

[0011] Furthermore, timing zero-calibration is performed on each of the aforementioned control systems, including: S1: Using the hardware clock of the PLC inside the central control system as the global reference clock, synchronously send calibration trigger commands with reference timestamps to the temperature field control system, humidity field control system, salt spray field control system, electric field control system and magnetic field control system. S2: After receiving the calibration trigger command, each of the control systems immediately records the command reception time of its local operating clock and returns it to the central control system; when the central control system receives the command reception time returned by each control system, it synchronously records the response reception time corresponding to its own global reference clock. S3: The central control system independently calculates the clock deviation between the local clock and the global reference clock for each of the control systems in sequence, and issues a corresponding clock correction coefficient to each control system based on the clock deviation; S4: Each of the control systems calibrates its local operating clock according to the corresponding clock correction coefficient.

[0012] Further, step S3 includes: S31: Calculate half of the difference between the response reception time and the reference timestamp carried by the calibration trigger command, and use it as the one-way delay of the corresponding control system's communication link; S32: Add the reference timestamp to the one-way delay of the communication link to obtain the global reference real time corresponding to when the control system receives the calibration trigger command; S33: Calculate the difference between the instruction reception time returned by the corresponding control system and the global reference real time to obtain the clock deviation between the local clock and the global reference clock; S34: Generate the corresponding clock correction coefficient based on the clock deviation and send it to the control system.

[0013] Furthermore, the time-coupling algorithm is also configured at the lowest level with: The dynamic operating condition adaptive coupling logic imports a custom power grid dynamic operating condition curve during the dynamic alternation phase of the test, and differentiates the parameter output amplitude of each control system according to the parameter fluctuation law of the operating condition curve. After the dynamic alternation phase of the experiment ends, the parameter output amplitude adjustment mode of the signal-physical field linkage adjustment logic is automatically restored.

[0014] Furthermore, based on the parameter fluctuation pattern of the operating condition curve, the parameter output amplitude of each of the control systems is differentiated and matched, including: A1: Analyze the operating condition curve and extract the voltage fluctuation amplitude and time change rate in the operating condition curve in real time; A2: Perform dimensionless normalization on the fluctuation amplitude and the rate of change over time to obtain the relative fluctuation amplitude and the relative rate of change; A3: Call the first linear preset calculation model stored in the system, and use the relative fluctuation amplitude and relative rate of change as input to solve the fast response field adjustment coefficient K1; and call the second linear preset calculation model stored in the system, and use the fast response field adjustment coefficient K1 as input to solve the slow response field adjustment coefficient K2, where K2 < K1. A4: Call the basic parameters of each of the aforementioned control systems to output the amplitude; A5: Multiply the output amplitude of the basic parameters corresponding to the electric field and magnetic field by the fast response field adjustment coefficient K1, and multiply the output amplitude of the basic parameters corresponding to the temperature field, humidity field, and salt spray field by the slow response field adjustment coefficient K2 to calculate the final parameter output amplitude of each of the control systems.

[0015] Further, step A1 includes: A11: Set a sliding calculation window with the current time as the endpoint, and calculate the reference steady-state value of the voltage within the sliding calculation window; A12: Extract the absolute difference between the maximum voltage value within the sliding calculation window and the reference steady-state value as the fluctuation amplitude; A13: The rate of change of voltage at the current moment is calculated using the first-order central difference method.

[0016] The technical solution of this invention can achieve the following technical effects: This invention changes the current indiscriminate signal transmission mode of single-threaded polling by using a hierarchical signal dynamic scheduling mechanism. It prioritizes all measurement and control signals according to different needs, thereby allocating differentiated bus resources to signals of different priorities. Isolation transmission avoids the distortion and loss of weak electrochemical monitoring signals and dynamic field strength signals. Through a multi-field synchronous timing calibration mechanism, it unifies the operating sequence of each control system and performs unified time reference calibration on the measurement and control signals after hierarchical transmission processing, eliminating the problem of timing discrepancies in multi-physics field loading caused by independent operation of each system. Combined with a parallel bus communication mode, it improves the overall transmission efficiency and enhances the realism of the simulation of complex multi-field coupled service environment of the power grid and the reliability of the test data. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic diagram of a multi-field coupling accelerated corrosion test device for simulating a power grid environment; Figure 2 This is a framework diagram of the time-coupling algorithm. Detailed Implementation

[0019] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0020] like Figure 1 As shown, a multi-field coupled accelerated corrosion test device simulating a power grid environment includes a test chamber, and integrated within the test chamber are a salt spray field control system, a temperature field control system, a humidity field control system, an electric field control system, a magnetic field control system, and a real-time monitoring system. It also includes a central control system, which adopts a parallel bus communication mode and has built-in: The hierarchical signal dynamic scheduling mechanism prioritizes, isolates, and allocates bandwidth to all measurement and control signals of each control system as needed. The measurement and control signals include the first priority core measurement and control signals, the second priority environmental coupling signals, and the third priority auxiliary monitoring signals. In this embodiment, each control system is specifically a physical field control system, which includes salt spray field, temperature field, humidity field, electric field, and magnetic field.

[0021] The multi-field synchronous timing calibration mechanism uses the central control system's hardware clock as the global reference to unify the operational sequence of various control systems. It also adds a global time reference stamp to all measurement and control signals processed by the hierarchical signal dynamic scheduling mechanism. This process uniformly adds a microsecond-level global time reference stamp to the three types of measurement and control signals after priority classification and isolated transmission. This works in conjunction with hierarchical signal dynamic scheduling and multi-physics field operational sequence control to solve the problem of spatiotemporal misalignment between data and equipment operating conditions in multi-field coupled corrosion tests of the power grid.

[0022] This invention, through the aforementioned hierarchical signal dynamic scheduling mechanism, changes the current single-threaded polling indiscriminate signal transmission mode. It prioritizes all measurement and control signals according to different needs, thereby allocating differentiated bus resources to signals of different priorities. Isolation transmission avoids the distortion and loss of weak electrochemical monitoring signals and dynamic field strength signals. Through a multi-field synchronous timing calibration mechanism, it unifies the operating sequence of each control system and performs unified time reference calibration on the measurement and control signals after hierarchical transmission processing, eliminating the problem of timing discrepancies in multi-physics field loading caused by independent operation of each system. Combined with a parallel bus communication mode, it improves the overall transmission efficiency and enhances the realism of the simulation of complex multi-field coupled service environment of the power grid and the reliability of the test data.

[0023] As a preferred embodiment of the above: The first priority core measurement and control signal is the core experimental interaction signal between the central control system and the electric field control system, the magnetic field control system and the real-time monitoring system. It includes the dynamic closed-loop control signal sent by the central control system to the electric field control system and the magnetic field control system, as well as the sample corrosion rate and electrochemical parameter acquisition signal collected and transmitted back by the real-time monitoring system. The second priority environmental coupling signal is the environmental interaction signal between the central control system and the temperature field control system, humidity field control system and salt spray field control system, including the environmental control commands of the temperature field control system, humidity field control system and salt spray field control system and the feedback signals of the corresponding parameter acquisition. The third priority auxiliary monitoring signals are the operating status feedback and auxiliary function signals of each hardware system, including the liquid level monitoring signal of the salt spray field control system, the body temperature monitoring signal of each control system, and the sample image storage signal of the real-time monitoring system.

[0024] Corresponding to the above-mentioned signal division method, the isolated transmission channel can specifically include: The first priority core measurement and control signal channel adopts an independent physical bus interface isolation method, and is directly connected point-to-point to the core measurement and control ports of the electric field control system, magnetic field control system, and real-time monitoring system. The second priority environmental coupling signal channel adopts a dedicated logical VLAN isolation method, connecting the environmental interaction signals between the central control system and the temperature field control system, humidity field control system, and salt spray field control system. The third priority auxiliary monitoring signal channel shares an independent low-speed logical network segment, and uniformly aggregates the liquid level monitoring signal of the salt spray field control system, the body temperature of each control system, and the sample image storage signal of the real-time monitoring system.

[0025] As a specific implementation method, 60%-65% of the total bus bandwidth is allocated to the first priority core measurement and control signal channel; 25%-30% of the total bus bandwidth is allocated to the second priority environmental coupling signal channel; and the remaining bandwidth is allocated to the third priority auxiliary monitoring signal channel.

[0026] In this invention, the processing of measurement and control signals by the hierarchical signal dynamic scheduling mechanism specifically refers to a series of standardized logical processing actions performed before the signals enter the physical transmission stage. In some embodiments of this invention, these include, but are not limited to, signal type identification and priority classification processing, transmission channel matching and routing processing, bandwidth quota verification and traffic scheduling processing, etc. Through the above processing, core signals can ultimately adopt preemptive scheduling, environmental signals can adopt continuous steady-state scheduling, and auxiliary signals can adopt time-division multiplexing scheduling, ensuring that the traffic of each channel does not exceed the allocated bandwidth quota.

[0027] In addition to the conventional processing described above, in some embodiments of the present invention, the hierarchical signal dynamic scheduling mechanism also performs anti-interference preprocessing on the first priority core measurement and control signals. Specifically, for the weak electrochemical parameter acquisition signals and dynamic closed-loop control signals in the first priority, preliminary signal filtering and shaping preprocessing is performed before transmission to reduce noise interference during transmission and further ensure the transmission accuracy of the core signals.

[0028] As a preferred embodiment of the above, such as Figure 2 As shown, the multi-field synchronous timing calibration mechanism embeds a timing coupling algorithm, which is configured from top to bottom as follows: The global timing unified calibration logic performs timing zero calibration on each control system during the test initialization phase; The signal-physical field linkage regulation logic binds the transmission rhythm of the first priority core measurement and control signal and the second priority environmental coupling signal during the steady-state operation phase of the experiment, and synchronously and adaptively adjusts the parameter output amplitude of each control system according to the returned sample corrosion rate and electrochemical parameters.

[0029] In this preferred embodiment, the test initialization phase specifically refers to the calibration period from the power-on of the central control system and the confirmation of normal communication of all hardware systems to the formal loading of preset test parameters by each control system and the entry into steady-state operation. A globally unified timing reference can be established before the formal start of the test, thereby eliminating inherent timing deviations of the hardware. The test steady-state operation phase specifically refers to the main execution phase of the test from the completion of the test initialization phase to the receipt of the test end command by the central control system and the initiation of the gradual unloading process of each physical field parameter.

[0030] Under the unified timing calibration logic of the whole domain, the initial clock deviation before the start of the test is solved. Under the signal-physical field linkage adjustment logic, dynamic timing synchronization throughout the process is achieved by binding the transmission rhythm, which solves the dynamic timing drift and action misalignment problems that inevitably occur during the test operation and cannot be covered by calibration.

[0031] In this embodiment, the binding transmission rhythm is based on the result of timing zero-calibration. As a further preferred embodiment, binding the transmission rhythm of the first priority core measurement and control signal and the second priority environmental coupling signal includes: Based on the acquisition and transmission cycle of the first priority core measurement and control signal, the acquisition and transmission cycle of the second priority environmental coupling signal is set to N times the benchmark, where N is a positive integer; When the central control system sends dynamic closed-loop control signals to the electric field control system and the magnetic field control system, it simultaneously triggers the issuance of corresponding environmental control commands to the temperature field control system, the humidity field control system, and the salt spray field control system.

[0032] The above optimization scheme can realize the timing mark binding of data frames. A microsecond-level timestamp generated based on the same global reference clock is embedded in the header of each transmitted data frame of the two types of signals. After the central control system receives the returned data, it automatically aligns the core data and environmental data of the same timing node through the global time reference stamp.

[0033] Based on the above implementation methods, the parameter output amplitude of each control system is synchronously and adaptively fine-tuned according to the returned sample corrosion rate and electrochemical parameters. This solves the problem that traditional test equipment can only operate according to preset parameters and cannot dynamically adjust according to the actual state of the sample. Specifically, based on the core data and environmental data of the same time node formed by the bound transmission rhythm, the central control system can accurately judge the deviation between the actual corrosion rate and electrochemical parameters of the sample and the preset test target. At the same time node, the parameter adjustment actions of each control system are initiated synchronously, and the parameter output amplitude is matched according to the inherent response characteristics of each control system. The test deviation caused by uncontrollable factors such as sample batch differences, hardware performance drift and minor environmental disturbances is corrected in real time, ensuring that the test is carried out stably as expected. At the same time, the parameter adjustment actions of all control systems can be initiated at the same time node, avoiding the distortion of the multi-physics coupling environment caused by independent adjustment of a single field, and more realistically simulating the actual service environment of power grid equipment.

[0034] In the above preferred schemes, the parameter output amplitude refers to the change in the parameter relative to the current steady-state value during a single adjustment action of each control system, characterizing the drastic degree of adjustment of the physical field parameters; as an example, the specific physical meanings for different physical fields are as follows: The electric field control system outputs the change in electric field strength in kV / m; the magnetic field control system outputs the change in magnetic induction in mT; the temperature field control system outputs the change in temperature in °C; the humidity field control system outputs the change in relative humidity in %RH; and the salt spray field control system outputs the change in salt spray deposition rate in mL / m³. .

[0035] As a preferred embodiment of the above, timing zeroing calibration is performed on each control system, including: S1: Using the high-precision hardware clock of the PLC inside the central control system as the global reference clock, it synchronously sends calibration trigger commands with reference timestamps to the temperature field control system, humidity field control system, salt spray field control system, electric field control system and magnetic field control system. S2: After receiving the calibration trigger command, each control system immediately records the command reception time of its local operating clock and returns it to the central control system; when the central control system receives the command reception time returned by each control system, it synchronously records the response reception time corresponding to its own global reference clock. S3: The central control system independently calculates the clock deviation between the local clock and the global reference clock for each control system in turn, and issues the corresponding clock correction coefficient to each control system based on the clock deviation. S4: Each control system calibrates its local operating clock according to the corresponding clock correction factor.

[0036] Step S3 includes: S31: Calculate half of the difference between the response reception time and the reference timestamp carried by the calibration trigger command, and use it as the one-way delay of the corresponding control system's communication link; S32: Add the reference timestamp to the one-way delay of the communication link to obtain the global reference real time when the control system receives the calibration trigger command; S33: Calculate the difference between the command reception time returned by the corresponding control system and the global reference real time to obtain the clock deviation between the local clock and the global reference clock; S34: Generate the corresponding clock correction coefficient based on the clock deviation and send it to the control system.

[0037] In some embodiments of the present invention, after the above calibration is completed, the central control system can send a synchronization verification command again until it is confirmed that the deviation between the local clock of each control system and the global reference clock is controlled within the set time, and the timing zero calibration is completed, that is, the running timing of each control system is unified.

[0038] Preferably, the set duration is selected in the range of 8-12us.

[0039] In some embodiments of the present invention, an alarm mechanism may also be set; for example, if the deviation of three consecutive verifications still exceeds the set time, a system hardware communication failure alarm may be triggered, and the test initialization process may be terminated.

[0040] As a preferred embodiment of the above, see also Figure 2 The time-coupling algorithm also includes the following at the lowest level: The dynamic operating condition adaptive coupling logic imports a custom power grid dynamic operating condition curve during the dynamic alternation phase of the test, and differentiates the parameter output amplitude of each control system according to the parameter fluctuation law of the operating condition curve. After the dynamic alternation phase of the experiment ends, the parameter output amplitude adjustment mode of the signal-physical field linkage adjustment logic is automatically restored.

[0041] In this preferred embodiment, the dynamic alternating phase of the test specifically refers to a core extended period within the main test execution phase, used to simulate the real-world fluctuating service environment of the power grid. Unlike the steady-state operation phase, the parameter output amplitude under dynamic conditions is based on a custom-defined power grid dynamic operating condition curve. In this embodiment, fast-responding electric and magnetic fields are often matched with larger parameter output amplitudes to ensure that all physical fields can synchronously follow the fluctuations of the operating condition curve.

[0042] During implementation, the third-priority auxiliary monitoring signal often adopts a time-division transmission mechanism. Its periodic bus resource occupation will cause transmission delays or timing jitter in the first-priority core measurement and control signal and the second-priority environmental coupling signal. The real-time and multi-field synchronization accuracy requirements of signal transmission in the dynamic alternation stage are much higher than those in the steady-state operation stage. Based on this problem, the time-division transmission of the third-priority auxiliary monitoring signal can be further shielded in the dynamic alternation stage of the experiment, and all bus bandwidth resources can be preferentially allocated to the first-priority core measurement and control signal and the second-priority environmental coupling signal, thereby eliminating the interference of auxiliary signals on the core control link to a certain extent.

[0043] As a preferred embodiment of the above, the parameter output amplitude of each control system is differentiated and matched according to the parameter fluctuation pattern of the operating condition curve, including: A1: Analyze the operating condition curve and extract the voltage fluctuation amplitude A and the time change rate V in the operating condition curve in real time; A2: Perform dimensionless normalization on the fluctuation amplitude A and the time rate of change V respectively to obtain the relative fluctuation amplitude. and relative rate of change ; A3: Call the system's pre-stored first linear preset calculation model, with relative fluctuation amplitude. and relative rate of change The fast response field adjustment coefficient K1 is calculated as input, and the second linear preset operation model stored in the system is called to calculate the slow response field adjustment coefficient K2 with the fast response field adjustment coefficient K1 as input, where K2 < K1. A4: Call the basic parameters of each control system and output the amplitude R0; A5: Multiply the basic parameter output amplitude R0 corresponding to the electric field and magnetic field by the fast response field adjustment coefficient K1, and multiply the basic parameter output amplitude R0 corresponding to the temperature field, humidity field, and salt spray field by the slow response field adjustment coefficient K2 to calculate the final parameter output amplitude of each control system.

[0044] During implementation, the fluctuation amplitude A is divided by the preset fluctuation amplitude benchmark value A0 to obtain the dimensionless relative fluctuation amplitude. Dividing the rate of change over time V by the preset benchmark value of the rate of change over time V0 yields the dimensionless relative rate of change. Among them, A0 and V0 are offline calibrated constants, which can be determined according to the maximum fluctuation amplitude and maximum rate of change of typical power grid operating conditions. They are pre-stored in the central control system and are not modified during operation.

[0045] In some embodiments of the present invention, the first linear preset operation model is: ; In the formula, , The preset dimensionless weighting coefficients satisfy 0 < , <1 and + =1; The second linear preset operation model is: ; In the formula, The preset dimensionless attenuation coefficient satisfies 0 < <1.

[0046] Among the above preferred solutions, , These represent the weights of the fluctuation amplitude and rate of change on the adjustment intensity, respectively, and can be adjusted according to experimental requirements; for example, when more attention is paid to the fluctuation amplitude of the operating condition, these weights can be increased. The value of .

[0047] As a preferred embodiment of the above, step A1 includes: A11: Set the sliding calculation window with the current time as the endpoint, and calculate the reference steady-state value of the voltage within the sliding calculation window; A12: Extract the absolute difference between the maximum voltage value and the reference steady-state value within the sliding calculation window as the fluctuation amplitude A; A13: The time rate of change V of the voltage at the current moment is calculated using the first-order central difference method.

[0048] In step A11 above, the sliding calculation window slides forward synchronously with the acquisition of new sampling points. Each time a new sampling point is added, the window content is updated and the reference steady-state value is recalculated. The reference steady-state value is calculated using the arithmetic mean of all voltage sampling points within the sliding window, representing the average operating level of the grid voltage near the current moment. By using the sliding window to update in real time, it can adaptively track the slow changing trend of the operating condition curve, avoiding the problem that a fixed reference value cannot adapt to operating condition drift.

[0049] In step A12, firstly, all voltage sampling points within the sliding calculation window are traversed to find the maximum voltage value within the window; then, the absolute difference between the maximum voltage value and the reference steady-state value obtained in step A11 is calculated, which is the voltage fluctuation amplitude A at the current moment. In step A13, the first-order central difference method is a method of calculating the rate of change using the voltage values ​​of two adjacent sampling points before and after the current time. It is obtained by calculating the difference between the voltage value of the next sampling point at the current time and the voltage value of the previous sampling point at the current time, and then calculating the ratio with twice the sampling time interval.

[0050] Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to this invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A multi-field coupled accelerated corrosion test device simulating a power grid environment, comprising a test chamber, and integrated within the test chamber a salt spray field control system, a temperature field control system, a humidity field control system, an electric field control system, a magnetic field control system, and a real-time monitoring system, further comprising a central control system, characterized in that, The central control system adopts a parallel bus communication mode and is built-in: A hierarchical signal dynamic scheduling mechanism prioritizes, isolates, and allocates bandwidth to all measurement and control signals of each control system as needed; the measurement and control signals include first-priority core measurement and control signals, second-priority environmental coupling signals, and third-priority auxiliary monitoring signals. The multi-field synchronous timing calibration mechanism uses the central control system hardware clock as the global reference to unify the running sequence of each control system, and adds a global time reference stamp to all measurement and control signals after being processed by the hierarchical signal dynamic scheduling mechanism. The first priority core measurement and control signal includes the dynamic closed-loop control signal sent by the central control system to the electric field control system and the magnetic field control system, as well as the sample corrosion rate and electrochemical parameter acquisition signal collected and transmitted back by the real-time monitoring system. The second priority environmental coupling signal includes the environmental control commands of the temperature field control system, humidity field control system, and salt spray field control system, as well as the feedback signals of the corresponding parameter acquisition. The third priority auxiliary monitoring signal includes the liquid level monitoring signal of the salt spray field control system, the temperature monitoring signal of each control system body, and the sample image storage signal of the real-time monitoring system. The multi-field synchronous timing calibration mechanism embeds a timing coupling algorithm, which is configured sequentially from top to bottom as follows: The global timing unified calibration logic performs timing zero calibration on each of the control systems during the test initialization phase. The signal-physical field linkage adjustment logic binds the transmission rhythm of the first priority core measurement and control signal and the second priority environmental coupling signal during the steady-state operation phase of the experiment, and synchronously and adaptively adjusts the parameter output amplitude of each control system according to the returned sample corrosion rate and electrochemical parameters. The dynamic operating condition adaptive coupling logic, during the dynamic alternation phase of the experiment, imports a custom dynamic power grid operating condition curve. Based on the parameter fluctuation pattern of the operating condition curve, it differentiates and matches the parameter output amplitudes of each of the control systems, including: A1: Analyze the operating condition curve and extract the voltage fluctuation amplitude and time change rate in the operating condition curve in real time; A2: Perform dimensionless normalization on the fluctuation amplitude and the rate of change over time to obtain the relative fluctuation amplitude and the relative rate of change; A3: Call the first linear preset calculation model stored in the system, and use the relative fluctuation amplitude and relative rate of change as input to solve the fast response field adjustment coefficient K1; and call the second linear preset calculation model stored in the system, and use the fast response field adjustment coefficient K1 as input to solve the slow response field adjustment coefficient K2, where K2 < K1. A4: Call the basic parameters of each of the aforementioned control systems to output the amplitude; A5: Multiply the output amplitude of the basic parameters corresponding to the electric field and magnetic field by the fast response field adjustment coefficient K1, and multiply the output amplitude of the basic parameters corresponding to the temperature field, humidity field, and salt spray field by the slow response field adjustment coefficient K2 to calculate the final parameter output amplitude of each of the control systems. After the dynamic alternation phase of the experiment ends, the parameter output amplitude adjustment mode of the signal-physical field linkage adjustment logic is automatically restored.

2. The multi-field coupling accelerated corrosion test device simulating a power grid environment according to claim 1, characterized in that, The hierarchical signal dynamic scheduling mechanism also performs anti-interference preprocessing on the first priority core measurement and control signal.

3. The multi-field coupling accelerated corrosion test device simulating a power grid environment according to claim 1, characterized in that, The transmission rhythm of binding the first priority core measurement and control signal and the second priority environmental coupling signal includes: Based on the acquisition and transmission cycle of the first priority core measurement and control signal, the acquisition and transmission cycle of the second priority environmental coupling signal is set to N times the benchmark, where N is a positive integer; When the central control system sends the dynamic closed-loop control signal to the electric field control system and the magnetic field control system, it simultaneously triggers the issuance of corresponding environmental control commands to the temperature field control system, the humidity field control system and the salt spray field control system.

4. The multi-field coupling accelerated corrosion test device simulating a power grid environment according to claim 1, characterized in that, Perform timing zero-calibration on each of the aforementioned control systems, including: S1: Using the hardware clock of the PLC inside the central control system as the global reference clock, synchronously send calibration trigger commands with reference timestamps to the temperature field control system, humidity field control system, salt spray field control system, electric field control system and magnetic field control system. S2: After receiving the calibration trigger command, each of the control systems immediately records the command reception time of its local operating clock and returns it to the central control system; when the central control system receives the command reception time returned by each of the control systems, it synchronously records the response reception time corresponding to its own global reference clock. S3: The central control system independently calculates the clock deviation between the local clock and the global reference clock for each of the control systems in sequence, and issues a corresponding clock correction coefficient to each control system based on the clock deviation; S4: Each of the control systems calibrates its local operating clock according to the corresponding clock correction coefficient.

5. The multi-field coupling accelerated corrosion test device for simulating a power grid environment according to claim 4, characterized in that, Step S3 includes: S31: Calculate half of the difference between the response reception time and the reference timestamp carried by the calibration trigger command, as the corresponding one-way delay of the communication link of the control system; S32: Add the reference timestamp to the one-way delay of the communication link to obtain the global reference real time corresponding to when the control system receives the calibration trigger command; S33: Calculate the difference between the instruction reception time returned by the corresponding control system and the global reference real time to obtain the clock deviation between the local clock and the global reference clock; S34: Generate the corresponding clock correction coefficient based on the clock deviation and send it to the control system.

6. The multi-field coupling accelerated corrosion test device simulating a power grid environment according to claim 1, characterized in that, Step A1 includes: A11: Set a sliding calculation window with the current time as the endpoint, and calculate the reference steady-state value of the voltage within the sliding calculation window; A12: Extract the absolute difference between the maximum voltage value within the sliding calculation window and the reference steady-state value as the fluctuation amplitude; A13: The rate of change of voltage at the current moment is calculated using the first-order central difference method.

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