Method and system for testing key performance parameters of environment-friendly insulating gas

Abstract

The invention discloses a method and system for testing key performance parameters of environment-friendly insulating gas, and relates to the technical field of gas performance test.The method comprises the following steps that a dynamic space-time mapping model based on gas molecule polarization response is established, and electric field gradient distribution in the high-voltage rapid rising stage serves as input parameters; generating a corresponding multi-scale polarizability evolution curve, and constructing a dynamic prediction baseline for identifying a nonlinear polarizability mutation precursor according to the multi-scale polarizability evolution curve; and constructing a micro-scale discharge channel constraint field according to polarizability abrupt change precursor parameters output by the dynamic prediction baseline, and performing vector rotation and energy amplitude limiting control on an electric field gradient, so that local electric field energy is absorbed through a spatial redistribution mechanism. According to the invention, real-time sensing and active regulation and control of the polarization behavior of the environment-friendly insulating gas are realized, through multi-stage energy redistribution and electric field dynamic balance, the formation of a discharge channel is effectively inhibited, the breakdown voltage is stabilized, the steady state duration is prolonged, and the safety and reliability of a test system are improved.

Description

Technical Field

[0001] This invention relates to the field of gas performance testing technology, specifically to a method and system for testing key performance parameters of environmentally friendly insulating gases. Background Technology

[0002] Testing key performance parameters of environmentally friendly insulating gases involves using intelligent sensing systems to monitor and precisely analyze the physical, electrical, and chemical properties of the gases in the operating environment of power equipment in real time, in order to assess the stability and safety of their insulation and arc-extinguishing performance. This testing typically includes key indicators such as the gas's breakdown voltage, dielectric strength, leakage rate, humidity, purity, temperature coefficient, and concentration of decomposition products. By deploying high-precision intelligent sensing nodes within the equipment, the system can achieve multi-dimensional acquisition and data fusion analysis of the gas state, identifying problems such as insulation performance degradation, potential leakage, and abnormal electrochemical decomposition in real time. This provides a scientific basis for online condition assessment, preventative maintenance, and performance verification of green alternative gases for high-voltage equipment such as power switchgear and circuit breakers, ensuring the long-term safe, environmentally friendly, and efficient operation of the equipment.

[0003] The existing technology has the following shortcomings: In existing technologies, dynamic pressure testing of key performance parameters of environmentally friendly insulating gases typically relies on the assumption of stable gas polarization characteristics. However, when the gas undergoes a transient nonlinear response during the rapid rise of high pressure, the polarizability may abruptly change. This abrupt change can cause microscale discharge channels to self-excite and extend within the gas medium, forming unpredictable local electric field focusing regions, causing the insulation breakdown threshold to collapse instantaneously. Because existing testing devices struggle to capture the polarizability abrupt change on a nanosecond timescale, the system cannot promptly suppress voltage or control energy discharge, easily triggering a discharge chain reaction and causing a complete breakdown discharge disaster on the entire testing platform, seriously threatening equipment safety and the reliability of experimental data.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for testing key performance parameters of environmentally friendly insulating gases, so as to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for testing key performance parameters of environmentally friendly insulating gases, comprising the following steps: Step 1: Establish a dynamic spatiotemporal mapping model based on the polarization response of gas molecules. The electric field gradient distribution during the rapid rise of high pressure is used as the input parameter to generate the corresponding multi-scale polarizability evolution curve. Based on this, a dynamic prediction baseline is constructed to identify precursors of nonlinear polarization abrupt changes, which can provide a reference for subsequent electric field constraints and energy control. Step 2: Based on the polarization abrupt change precursor parameters of the dynamically predicted baseline output, construct a microscale discharge channel constraint field, perform vector rotation and energy limiting control on the electric field gradient, so that the local electric field energy is absorbed through the spatial redistribution mechanism to suppress the rapid formation of self-excited discharge nuclei in the initial stage. Step 3: Using the electric field energy distribution data output by the spatial redistribution mechanism, generate a phase conjugate energy release sequence. Using the energy density gradient in the discharge channel constraint field as the control variable, perform a reverse energy return operation to reduce the energy accumulation nuclei in the local focusing area and prevent the insulation breakdown threshold from decreasing. Step 4: Based on the energy release sequence output by the reverse energy foldback operation, a time-domain hierarchical voltage slow-release chain is constructed. A multi-level adjustable pulse delay structure is used to segment and diffuse the energy release sequence to smooth the voltage ramp-up rate, weaken the secondary abrupt change effect of polarizability, and prolong the steady-state duration of the gas medium. Step 5: Based on the segmented diffusion results of the time-domain layered voltage relief chain, initiate a closed-loop dynamic control process based on the Hamiltonian variational principle to continuously reconstruct the electric field potential well inside the gas, so that the polarizability is maintained in dynamic equilibrium within the steady-state threshold, thereby achieving adaptive dissipation of insulation breakdown risk and continuous maintenance of stable system operation.

[0007] Preferably, the steps for establishing a dynamic spatiotemporal mapping model based on the polarization response of gas molecules include: Multidimensional physical quantity acquisition is performed on the gas medium in the high-pressure rapid rise stage. The electric field gradient distribution is used as the input parameter, and the temperature, pressure, density and dielectric constant of the gas are acquired at the same time. The correspondence between the electric field gradient and the molecular polarization intensity is established, and a spatiotemporal mapping framework of electric field and polarization response is formed. Based on the mapping framework, the polarization response of gas molecules is expanded point by point to form a multi-scale polarizability evolution curve that varies with time and spatial position, so as to characterize the transition process of gas molecules from steady-state polarization to nonlinear polarization. Identify the precursor region of polarizability abrupt change on the multi-scale polarizability evolution curve, and establish a prediction baseline that is dynamically adjusted with time and space to reflect the degree of energy accumulation and polarization coupling in the gas medium. Based on the output of the dynamic prediction baseline, the polarization response of gas molecules is continuously tracked and corrected, so that the polarization state of the gas medium is maintained within the baseline equilibrium range, enabling early identification and intervention of the risk of sudden changes in polarization rate.

[0008] Preferably, the step of constructing a microscale discharge channel confinement field based on the precursor parameters of the polarization abrupt change in the dynamically predicted baseline output includes: Based on the precursor parameters of polarizability abrupt change output by dynamic prediction baseline, the spatial distribution of electric field inside gas medium is refined into partitions. Electric field strength, polarizability change rate and energy density are used as correlation variables to form an energy distribution map to mark the initiation region of potential discharge channels. Within the identified potential discharge channel region, the electric field gradient direction is processed by vector rotation, causing the local electric field energy to deflect towards the region with lower energy density, thereby achieving lateral diffusion and spatial redirection of energy. After completing the rotation of the electric field direction, the electric field energy in the high-energy region is limited and controlled. By guiding the energy to be slowly released into the adjacent low-field region, an energy buffer is formed to delay the energy threshold formed by the discharge channel. By combining the results of electric field direction rotation and energy limiting control, a spatial redistribution mechanism is constructed, which allows local energy to be absorbed and redistributed by adjacent regions, thereby achieving the suppression of self-excited discharge nuclei and the steady-state balance of gas polarization response.

[0009] Preferably, in the process of limiting the electric field energy in the high-energy region, the energy release is controlled based on the rate of change of the precursor parameter of the polarization abrupt change. By establishing a time-continuous energy transfer path between the high-energy region and the adjacent low-field region, the electric field energy is spatially diffused in a hierarchical manner, thereby further enhancing the stability of the spatial redistribution mechanism and improving the suppression effect on the formation of self-excited discharge nuclei.

[0010] Preferably, the step of generating a phase conjugate energy release sequence using the electric field energy distribution data output by the spatial redistribution mechanism includes: Based on the electric field energy distribution data output by the spatial redistribution mechanism, the energy field inside the gas medium is divided into multi-level energy density partitions, the direction and rate of change of the energy gradient are identified, and the spatial center and peripheral attenuation region of the energy accumulation core are determined. Using the energy density gradient in the discharge channel confinement field as the control variable, the spatiotemporal phase relationship of the energy transfer path in the gas medium is adjusted so that the energy release direction and the energy accumulation direction form a corresponding structure with opposite phase, thereby establishing a conjugate energy feedback path; When the energy density gradient exceeds the stability threshold, a reverse energy return operation is performed, causing energy to flow in the opposite direction along the conjugate path and return to the low energy density region, thereby reducing the energy accumulation nucleus in the local focus region; The spatiotemporal consistency of the energy distribution after the reverse return is reconstructed, so that the spatial redistribution mechanism and the reverse energy release process form a closed loop coupling, thereby achieving dynamic balance of overall energy and maintaining insulation stability.

[0011] Preferably, during the reverse energy return operation, the reverse flow of energy along the phase conjugate path is triggered when the energy density gradient exceeds the stability threshold. In the energy distribution reconstruction stage after the return, the energy peak in the high field region is reduced, and the energy is redistributed to the low energy region, thereby achieving adaptive balance of the energy field inside the gas medium and further improving the stability of the insulation breakdown threshold.

[0012] Preferably, the steps for constructing a time-domain hierarchical voltage mitigation chain based on the energy release sequence output from the reverse energy foldback operation include: Based on the energy release sequence output by the reverse energy return operation, the release law of energy change over time inside the gas medium is sorted and analyzed, the peak stage, slow release stage and tail decay stage of energy release are identified, and the energy sequence is segmented to form a time partition structure. The energy density of each time zone is hierarchically summarized. Based on the matching relationship between the peak energy and the voltage rise rate, a hierarchical node structure with multi-level delay characteristics is established, so that the energy release process unfolds layer by layer to form a multi-level voltage transition. After forming a hierarchical structure, a multi-level adjustable pulse delay mechanism is introduced, and a time delay interval is set between adjacent levels to make the energy release sequence proceed in order to smooth the voltage ramp-up rate and extend the steady-state response time. After energy diffusion is complete, the energy release data and time intervals of each layer node are coordinated in a closed loop to form a complete voltage release time series curve, thereby achieving a dynamic balance between energy release, voltage change and gas polarization response.

[0013] Preferably, the time delay interval in the multi-level adjustable pulse delay mechanism is dynamically set according to the energy release amplitude of each layer node and the polarization response recovery time of gas molecules, so that the energy transfer sequence between adjacent layers is synchronized with the voltage ramp-up rate, thereby achieving a gradual and smooth transition of voltage change during energy diffusion and further improving the steady-state maintenance capability of the gas medium under high pressure.

[0014] Preferably, the steps for initiating a closed-loop dynamic control process based on the Hamiltonian variational principle according to the segmented diffusion results of the time-domain hierarchical voltage release chain include: Based on the segmented diffusion results of the time-domain layered voltage release chain, the energy distribution state inside the gas medium is evaluated as a whole, and an initial mapping of the electric field potential energy distribution is formed to identify regions of uneven energy distribution and polarization imbalance. After obtaining the initial mapping of the electric potential well, the optimal energy distribution path inside the gas medium is adjusted using the Hamiltonian variational principle to guide the energy of the local high potential region to the adjacent low potential region, so as to balance the potential well shape and reduce the local field strength concentration. During the continuous reconstruction of the electric field potential well, a closed-loop dynamic control relationship is established. By monitoring the correspondence between the potential well depth and the polarizability fluctuation amplitude, the energy distribution path is adjusted in real time to keep the energy distribution and polarization response coordinated. After the closed-loop dynamic control reaches a steady state, the boundary of the electric field potential well is finely adjusted to maintain a consistent gradient of energy distribution in the gas medium in both time and space, thereby achieving steady-state equilibrium of polarizability and adaptive dissipation of insulation breakdown risk.

[0015] The environmentally friendly insulating gas key performance parameter testing system includes a dynamic spatiotemporal mapping modeling module, a microscale discharge constraint control module, a phase conjugate energy return module, a time-domain hierarchical voltage release module, and a closed-loop dynamic regulation and balance module. The dynamic spatiotemporal mapping modeling module establishes a dynamic spatiotemporal mapping model based on the polarization response of gas molecules. It takes the electric field gradient distribution during the rapid rise of high pressure as the input parameter, generates the corresponding multi-scale polarizability evolution curve, and constructs a dynamic prediction baseline for identifying precursors of nonlinear polarization abrupt changes. The microscale discharge confinement control module constructs a microscale discharge channel confinement field based on the polarization abrupt change precursor parameters of the dynamically predicted baseline output, and performs vector rotation and energy limiting control on the electric field gradient, so that the local electric field energy is absorbed through the spatial redistribution mechanism. The phase conjugate energy return module uses the electric field energy distribution data output by the spatial redistribution mechanism to generate a phase conjugate energy release sequence, and uses the energy density gradient in the discharge channel constraint field as the control variable to perform the reverse energy return operation; The time-domain layered voltage release module constructs a time-domain layered voltage release chain based on the energy release sequence output by the reverse energy foldback operation. It uses a multi-level adjustable pulse delay structure to segment and diffuse the energy release sequence, smoothing the voltage ramp-up rate and weakening the secondary abrupt effect of polarization. The closed-loop dynamic control balance module initiates a closed-loop dynamic control process based on the Hamiltonian variational principle according to the segmented diffusion results of the time-domain layered voltage release chain. This process continuously reconstructs the electric field potential well inside the gas, maintaining the polarizability in a dynamic balance within the steady-state threshold.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention establishes a dynamic spatiotemporal mapping model based on the polarization response of gas molecules and combines it with multi-stage energy regulation and electric field confinement strategies to achieve real-time sensing and proactive intervention of the polarization behavior of environmentally friendly insulating gases during the rapid rise of high voltage. By constructing a dynamic prediction baseline and introducing a microscale discharge channel confinement field, it is possible to identify precursory features before abrupt changes in polarization rate occur, enabling the directional redistribution of electric field energy in space, thereby effectively suppressing local energy accumulation and self-excited expansion of the discharge channel. This process significantly improves the polarization stability of the gas medium, keeping the breakdown voltage constant and repeatable, and providing a more reliable means of evaluating the insulation performance of high-voltage equipment in complex dynamic environments.

[0017] This invention achieves adaptive smoothing of the voltage rise rate and dynamic reconstruction of the electric field potential well by coupling phase conjugate energy release with a time-domain stratified voltage mitigation mechanism. Energy is diffused in layers across both time and space and maintained in equilibrium through closed-loop variational control, ensuring that the gas polarizability remains within the steady-state threshold range. This fundamentally avoids the breakdown risk caused by abrupt secondary polarization changes and energy accumulation. This process not only extends the steady-state duration of the gas medium but also endows the testing device with self-calibration and self-stabilization capabilities, transforming insulation performance testing from passive detection to active control, significantly improving system safety and data reliability. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the method for testing key performance parameters of environmentally friendly insulating gas according to the present invention.

[0020] Figure 2 This is a schematic diagram of the modules of the environmentally friendly insulating gas key performance parameter testing system of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The test method for key performance parameters of environmentally friendly insulating gases, as shown, includes the following steps: Step 1: Establish a dynamic spatiotemporal mapping model based on the polarization response of gas molecules. The electric field gradient distribution during the rapid rise of high pressure is used as the input parameter to generate the corresponding multi-scale polarizability evolution curve. Based on this, a dynamic prediction baseline is constructed to identify precursors of nonlinear polarization abrupt changes, which can provide a reference for subsequent electric field constraints and energy control. The specific process for implementing this step is as follows: Multidimensional physical quantity acquisition is performed on the gas medium in the rapid rise phase of high pressure. The electric field gradient distribution is used as an input parameter, and the changing trends of gas temperature, pressure, density, and dielectric constant are simultaneously acquired. By setting equidistantly distributed electric field detection nodes within the pressurized cavity, the transient electric field intensity at different spatial locations is measured. Based on the orientational polarization and electronic polarization characteristics of gas molecules, the time-varying electric field intensity is converted into a time-domain sequence of molecular polarization response. The key to this step is establishing the correspondence between the electric field gradient and the molecular polarization intensity, so that the polarization state of gas molecules at each time point can be clearly mapped in the spatial coordinate system. By establishing a continuous correlation between the time and spatial domains, a dynamic correspondence framework between the electric field intensity distribution and the polarization response is formed, providing raw data support for the subsequent polarizability evolution process.

[0023] After obtaining complete spatiotemporal distribution data of the electric field gradient, the polarization response of gas molecules is analyzed point-by-point to form a polarizability distribution field that varies with both time and spatial location. This step aligns the time delay of the molecular orientation response caused by changes in electric field intensity, allowing comparison of molecular polarization responses within the same spatial region on a unified time scale, thus forming a multi-scale polarizability evolution curve. This curve reflects the entire process of gas molecules transitioning from initial steady-state polarization to nonlinear polarization, with changes in the curve's slope representing abrupt changes in the polarization rate. When the curve exhibits non-smooth inflection points or a sharp increase in polarization rate in local regions, it indicates an anomaly in the orientation response of gas molecules. This anomaly often corresponds to an imbalance in the energy distribution within the gas and a concentration of local field intensity. Through this step, the original electric field distribution data can be transformed into a spatiotemporal mapping result that reflects the nonlinear dynamic characteristics within the gas, achieving coupled characterization of the polarization response between macroscopic and microscopic scales.

[0024] Based on the obtained multi-scale polarizability evolution curves, the stable intervals of the polarization response of the gas under different pressure and temperature conditions are identified, and key feature points with predictive significance in the polarizability evolution curves are further extracted. By comparing the magnitude of polarizability changes and the polarization differences between adjacent spatial units in different time periods, the precursor region where polarizability abrupt changes may occur is identified. This precursor region is usually characterized by a slow increase in polarizability accompanied by an uneven electric field gradient. At this time, the gas molecules are in a metastable polarized state. If the applied electric field continues to increase, the polarizability will jump sharply. By identifying this precursor region, the spatial location and time window of nonlinear polarization abrupt changes can be determined, and a dynamic reference baseline for predicting abrupt changes can be established based on this. This baseline is not a static threshold, but a reference surface that is dynamically adjusted with time and space. Its curvature changes reflect the degree of energy accumulation and polarization coupling in the gas medium, providing a quantitative basis for subsequent electric field confinement.

[0025] Finally, based on the output of the dynamic prediction baseline, the evolution trend of the gas molecule polarization response is continuously tracked and updated, ensuring that the polarization behavior during the rapid rise of high pressure is always evaluated under the dynamic constraints of the prediction baseline. When a deviation of the polarizability evolution curve from the dynamic baseline is detected, the input parameters of the electric field gradient distribution are corrected in real time, and the spatial mapping relationship of the polarization response is recalculated, so that the polarization state of the entire gas medium returns to the baseline equilibrium range. The core of this process lies in using the aforementioned dynamic prediction baseline as a judgment criterion to establish a closed-loop correlation between gas polarization behavior and electric field distribution, enabling transient changes in polarizability to be identified in advance and intervened before the polarization response is formed. Through this coupling of dynamic mapping and baseline constraints, potential nonlinear response risks can be identified in the early stages of gas polarization, thereby providing accurate input for subsequent electric field constraints and energy redistribution, achieving a continuous transition from polarization prediction to energy control.

[0026] Through the above steps, the entire establishment process achieves a complete closed loop from electric field gradient acquisition, polarization response mapping, abrupt change precursor identification to dynamic prediction baseline generation. In this process, the gas molecule polarization response is no longer assumed as static parameters, but is depicted in real time through dynamic mapping relationships, allowing for precise tracking of polarizability changes in both space and time. By revealing the nonlinear evolution mechanism of gas molecule polarization at the physical level and providing real-time prediction and control basis at the engineering level, the reliability of key performance parameter testing for environmentally friendly insulating gases is improved, and a technical path is provided for the quantitative study of gas insulation breakdown mechanisms under high-voltage electric fields.

[0027] Step 2: Based on the polarization abrupt change precursor parameters of the dynamically predicted baseline output, construct a microscale discharge channel constraint field, perform vector rotation and energy limiting control on the electric field gradient, so that the local electric field energy is absorbed through the spatial redistribution mechanism to suppress the rapid formation of self-excited discharge nuclei in the initial stage. The specific process for implementing this step is as follows: Based on the polarizability abrupt change precursor parameters output by the established dynamic prediction baseline, the spatial distribution of the electric field within the gaseous medium is refined into distinct zones. Electric field strength, polarizability change rate, and energy density are used as correlated variables to form an energy distribution map describing the potential formation region of microscale discharge channels. By comparing the relative gradients of the polarizability abrupt change precursor parameters in each spatial unit, regions exhibiting abrupt changes in polarization response are identified, and their spatial locations within the gaseous medium are determined. The key to this step is that the spatiotemporal reference provided by the dynamic prediction baseline allows high-risk regions in the energy distribution map to be pre-identified, providing a directional basis for subsequent adjustments to the electric field gradient direction. Through this process, the electric field energy state within the gas is refined from a macroscopic perspective of overall equilibrium to a microscopic mapping of local energy density, thus clearly defining the spatial initiation region of the discharge channel.

[0028] After identifying potential discharge channel formation regions, the electric field gradient direction in these regions is vector-rotated to adjust the spatial distribution path of electric field energy. Then, referring to the polarizability variation trend provided by the aforementioned dynamic prediction baseline, the local electric field is deflected towards regions with lower energy density, redirecting the electric field energy that was originally concentrated in a single direction. Through this vector rotation, the electric field intensity, originally concentrated in a small area, is expanded to a larger spatial range, forming a lateral energy diffusion channel, thereby reducing the degree of electric field energy accumulation in local areas. This step physically reconstructs the electric field vector direction, redistributing the density of electric field lines, reducing electric field concentration and local energy peaks, thus creating conditions for subsequent energy limiting control.

[0029] After completing the directional rotation of the electric field gradient, the electric field energy in the local region is limited and controlled. This control is based on the electric field redistribution results formed in the previous stage. By introducing a reverse energy release path in the high-energy region of the gas medium, the electric field energy is smoothly transitioned in both time and space. Specifically, based on the rate of change of the precursor parameter of the polarizability abrupt change, the allowable range of electric field energy variation is set. When the electric field energy exceeds the allowable threshold, the energy is guided to be released slowly to the adjacent low-field region, thereby forming a spatial energy gradient. This process is equivalent to establishing an energy buffer in the gas medium, suppressing the rate of energy accumulation. Through this limiting control, the energy flow inside the gas medium changes from the original concentrated accumulation to layered release, delaying the attainment of the energy threshold required for the initial formation of the discharge channel. This step is closely linked to the previous step. Spatial equilibrium is achieved through electric field direction rotation, and temporal slow release is achieved through energy limiting. The two work together to effectively reduce the excitation intensity of the local electric field.

[0030] Finally, combining the results of electric field direction rotation and energy limiting control, a spatial redistribution mechanism within the gas medium is constructed. This mechanism allows local electric field energy to be absorbed and redistributed by adjacent regions, forming a steady-state energy equilibrium. Centered on the previously identified precursor region of polarizability abrupt change, this spatial redistribution mechanism rewrites the energy flow path originally concentrated in that region into multi-directional divergent energy channels, causing the polarization response of gas molecules to expand simultaneously in multiple directions, avoiding energy focusing in a single direction. As the spatial redistribution mechanism continues to operate, the electric field intensity in the local high-energy region gradually decreases, and the conditions for the formation of self-excited discharge nuclei are no longer met, thus effectively suppressing the initial stage of discharge. Simultaneously, due to the dispersion of electric field energy, the polarization response of gas molecules gradually tends towards equilibrium, and the polarizability change curve returns to the steady-state range of the dynamic prediction baseline, forming a closed-loop energy stabilization process.

[0031] Through the above steps, the entire process achieves end-to-end control, from identifying precursors of polarization rate abrupt changes to adjusting the electric field direction, and then to suppressing energy amplitude and spatial redistributing. In this implementation, the electric field gradient is no longer distributed statically, but is dynamically adjusted in real time according to the changes in the polarization response within the gas medium, enabling proactive regulation of the energy transfer process during the rapid rise of high voltage. In this way, the energy accumulation within the gas medium is redistributed in both spatiotemporal dimensions, significantly reducing the risk of electric field distortion caused by local energy concentration. This implementation reveals a feasible path for controlling the formation of discharge channels under dynamic high voltage conditions from a physical perspective. By spatially dispersing electric field energy and temporally delaying energy accumulation, the gas medium can maintain a stable insulating state under higher voltage conditions. This process not only improves the safety and repeatability of testing key performance parameters of environmentally friendly insulating gases, but also provides a replicable engineering method for preventing transient discharges and breakdowns in high-voltage equipment, thereby achieving reliable assessment and proactive protection of gas insulation performance under dynamic extreme conditions.

[0032] Step 3: Using the electric field energy distribution data output by the spatial redistribution mechanism, generate a phase conjugate energy release sequence. Using the energy density gradient in the discharge channel constraint field as the control variable, perform a reverse energy return operation to reduce the energy accumulation nuclei in the local focusing area and prevent the insulation breakdown threshold from decreasing. The specific process for implementing this step is as follows: Based on the electric field energy distribution data output by the spatial redistribution mechanism, the energy field inside the gas medium is partitioned into multi-level energy density zones. By continuously analyzing the trend of energy density variation with spatial location, the gradient direction and rate of change of energy distribution are identified, determining the spatial center and peripheral attenuation region of the energy accumulation core. This energy density partitioning process not only reveals the dominant direction of energy flow inside the gas medium but also provides an initial reference for establishing a phase-conjugate energy release sequence. By symmetrically mapping the energy distribution data in the spatial domain, a correspondence between forward and reverse energy flows is formed, enabling energy release to be coupled and regulated in a mutually canceling manner in space. The key to this step is transforming the static distribution of electric field energy into an energy field with dynamic reverse adjustable characteristics, laying the foundation for the subsequent reverse foldback process.

[0033] After obtaining multi-level energy density partitions, the energy density gradient in the discharge channel constraint field is used as a control variable to adjust the spatiotemporal phase relationship of the energy transfer path in the gas medium, so that the energy release direction and the energy accumulation direction form a phase-opposite structure. This process continuously monitors the energy density gradient, using high gradient regions of energy flow as trigger points for energy backflow, causing a time-delayed release effect of energy on the reverse path. By establishing this phase conjugate relationship in space, when energy becomes excessively concentrated in a certain region, its reverse energy flow will be released in the opposite direction, thereby offsetting the excessive concentration of field strength caused by energy accumulation. This step achieves a balanced and symmetrical distribution of energy in space, so that energy transfer inside the gas medium is no longer unidirectional accumulation, but forms a self-balancing feedback channel between conjugate paths, providing dynamic conditions for the next stage of reverse energy backflow operation.

[0034] After establishing the phase conjugate relationship of the energy flow, a reverse energy return operation is performed to reduce the energy accumulation nuclei in the local focusing region. This operation is based on the formed energy symmetry path. When the energy density gradient in the discharge channel constraint field exceeds the stability threshold, energy is triggered to flow in reverse along the phase conjugate path, allowing the energy to return to the low energy density region in a time-progressive manner. Through this reverse return process, the originally high-concentration energy in the local focusing region is diffused and absorbed, thereby weakening the local enhancement effect of the electric field. The key to this step is that through the spatially symmetric energy return behavior, the energy accumulation region is no longer continuously enhanced, but is actively dispersed by the energy flow of the surrounding area. This process is physically manifested as the reverse expansion of energy and electrically manifested as a decrease in local field strength, thereby effectively preventing the spontaneous formation of discharge nuclei in the high-field region. Through continuous return operation, the energy field inside the entire gas medium gradually tends to equilibrium, and the energy transfer path changes from unidirectional excitation to bidirectional dissipation, greatly improving the steady-state maintenance capability of the gas insulating medium.

[0035] After completing the reverse energy return operation, the spatiotemporal consistency of the returned energy distribution is reconstructed, creating a closed-loop coupling between the spatial redistribution mechanism and the reverse energy release process. At this point, based on the energy decay trajectory generated by the reverse energy return, the energy density of each region within the gas medium is recalibrated, forming a new steady-state energy distribution pattern. In this pattern, the energy peak value originally located in the high-field region is reduced to below the stability threshold, while the energy in the low-energy region is moderately increased, achieving a dynamic balance of overall energy. Through continuous correction of the energy distribution, the energy transfer direction within the gas medium is no longer fixed but adjusts in real time with changes in the electric field, thus forming an adaptive energy balance mechanism at the physical level. This step forms a logical closed loop with the preceding steps: the spatial redistribution mechanism of the previous stage provides the energy input structure, the energy density gradient defines the return trigger condition, the phase conjugate relationship establishes the release direction, and finally, a new energy steady state is achieved through feedback of the return result. This continuous process not only reduces the intensity of the energy accumulation nucleus but also blocks the polarization mutation chain reaction caused by excessive energy accumulation, keeping the insulation breakdown threshold at a stable level.

[0036] Through the above steps, the entire process achieves fully coupled control from energy distribution data extraction, energy density gradient control, phase conjugation establishment to reverse energy dissipation. In this implementation, energy transfer no longer exists in a unidirectional accumulation form, but rather achieves dynamic equilibrium through spatial symmetry and phase reversal, enabling the energy flow of the gas medium under high pressure conditions to exhibit self-inhibiting characteristics. By executing reverse energy folding, the energy concentration phenomenon that might otherwise lead to insulation breakdown is resolved in advance. The redistribution of energy in space restores the polarization response of gas molecules to stability, thereby effectively avoiding sudden drops in insulation performance. This not only improves the breakdown resistance of environmentally friendly insulating gases during high-voltage testing, but also provides a new approach to dynamic energy field control, enabling high-pressure gas insulating media to achieve a controllable energy evolution process under unsteady conditions, fundamentally improving insulation reliability and testing safety under dynamic polarization environments.

[0037] Step 4: Based on the energy release sequence output by the reverse energy foldback operation, a time-domain hierarchical voltage slow-release chain is constructed. A multi-level adjustable pulse delay structure is used to segment and diffuse the energy release sequence to smooth the voltage ramp-up rate, weaken the secondary abrupt change effect of polarizability, and prolong the steady-state duration of the gas medium. The specific process for implementing this step is as follows: Based on the energy release sequence output by the reverse energy return operation, the energy release pattern within the gas medium over time is organized and analyzed. Through continuous observation of the energy release intensity and time points, the temporal characteristics of the peak phase, the slow-release phase, and the tail-end decay phase in the energy release process are identified. This energy release sequence represents the energy redistribution dynamics formed by the gas medium after reverse energy return, and its temporal distribution characteristics directly determine the response speed of the gas polarizability to voltage changes. To avoid generating new electric field impacts in the initial stage of energy release, the energy sequence needs to be segmented, transforming the energy release process from centralized excitation to distributed diffusion in the time dimension. In this way, a multi-level time-partitioned structure can be initially constructed, laying the foundation for the subsequent voltage-slow-release chain. The core of this step lies in transforming the one-time energy release process after reverse energy return into a controllable and hierarchical time sequence structure, giving the energy adjustable slow-release physical characteristics over time.

[0038] After obtaining the time-partitioned structure of energy release, the energy density of each time period is hierarchically summarized to establish the initial framework of a time-domain hierarchical voltage slow-release chain. By matching the energy peak value and voltage rise rate of each time interval in the energy release sequence, the overall energy release process is divided into multiple hierarchical nodes with different delay characteristics. Each hierarchical node corresponds to an energy release stage, and its release amplitude is closely related to the energy transfer state of the previous level. Through this hierarchical setting, energy release is no longer concentrated and superimposed on the same time scale, but unfolds layer by layer in the time series, forming a multi-level transition structure of voltage. When the gas medium is in the high-pressure ramp-up stage, the delay relationship between each level ensures that the voltage change exhibits a gradual characteristic, thereby effectively reducing the possibility of a secondary abrupt change in polarization in a short period of time. This step realizes the hierarchical discretization of energy release in the time domain, transforming the voltage change process from the original linear rise to a slow-release curve growth, and establishing the basic form of the time-domain slow-release chain.

[0039] After establishing the initial time-domain hierarchical structure, a multi-level adjustable pulse delay mechanism is introduced to dynamically adjust the energy release sequence between each hierarchical node, further smoothing the voltage ramp-up rate. Specifically, based on the determined hierarchical node relationship, a time delay interval is set between adjacent levels, allowing the energy released by the previous level to be absorbed and diffused in space by the gas medium before the energy release of the next level gradually begins. This delay mechanism ensures the orderliness of the energy transfer process, ensuring that each energy release is accompanied by a recovery period of the gas molecule's polarization response, thereby avoiding the cumulative instability of the polarization state. By setting adjustable time intervals between multiple levels, the energy release rhythm can be flexibly adjusted according to the actual voltage change rate and polarization response rate, enabling the change in electric field strength and the polarization response of gas molecules to transition synchronously. This step not only achieves the continuity and smoothness of the voltage ramp-up but also extends the steady-state response time of the gas medium at the physical level, providing conditions for the final formation of a stable and persistent electric field environment.

[0040] After completing the energy diffusion of the multi-stage adjustable pulse delay, the entire time-domain hierarchical voltage release chain is coordinated in a closed loop to achieve a dynamic balance between voltage changes, energy release, and polarization response. At this point, by integrating the energy release data and delay time intervals of each hierarchical node, a complete voltage release time-series curve is formed. The curve's trend gradually transitions from a rapid rise to a slow increase and eventually stabilizes. As the voltage ramp-up rate smooths, the polarizability of gas molecules no longer exhibits transient abrupt changes, and the response difference between orientation polarization and electronic polarization gradually narrows, forming a steady-state polarization region. During this process, the local energy accumulation nuclei reduced by the reverse energy return are further digested and balanced over time, and the polarizability change curve returns to the steady-state region of the dynamic prediction baseline. The key to this step is achieving a coordinated balance between energy, time, and electric field, enabling the gas medium to maintain a stable operating state for a relatively long period under continuous high pressure.

[0041] Through the above steps, the entire construction process of the time-domain hierarchical voltage release chain achieves full-process control from time partitioning of the energy release sequence, energy hierarchical summarization, multi-level delay adjustment to dynamic steady-state maintenance. In this embodiment, energy release no longer manifests as an instantaneous jump, but is finely hierarchically scheduled, making the electric field changes of the gas medium more gentle and controllable. By introducing the multi-level delay structure, the rhythm of energy release is matched with the polarization response of gas molecules, thereby avoiding secondary abrupt changes in polarizability caused by energy superposition. This embodiment reveals the coupling law between the electric field ramp-up rate and gas polarization stability at the physical mechanism level, and significantly improves the steady-state sustainability of the insulating medium through time-domain slow release in an engineering sense. Thus, the entire process not only ensures the insulation reliability of the gas medium under high-voltage testing conditions, but also provides a new time-dimensional regulation approach for dynamic insulation control technology, enabling the gas insulation system to maintain high stability and predictability under complex transient conditions.

[0042] Step 5: Based on the segmented diffusion results of the time-domain layered voltage relief chain, initiate a closed-loop dynamic control process based on the Hamiltonian variational principle to continuously reconstruct the electric field potential well inside the gas, so that the polarizability is maintained in a dynamic equilibrium within the steady-state threshold, thereby achieving adaptive dissipation of insulation breakdown risk and continuous maintenance of stable system operation. The specific process for implementing this step is as follows: Based on the segmented diffusion results of the time-domain stratified voltage release chain, the overall energy distribution state inside the gas medium is evaluated, forming an initial mapping of the electric potential energy distribution. In this stage, by jointly analyzing the response curves of voltage change rate and gas molecule polarizability at each time point during the stratified release process, the potential well structure characteristics of the electric field energy in space are identified. At this point, the electric potential well can be considered as an energy-constrained region formed by gas molecules under the action of an applied electric field; its shape and depth directly reflect the energy accumulation and polarization intensity inside the gas medium. When the segmented diffusion results of the voltage release chain indicate that the gas polarizability tends to a steady state but exhibits local deviations, potential energy unevenness regions and polarization imbalance regions can be identified by projecting the time-stratified data onto the spatial potential energy distribution. The key to this step is to transform the time-domain release results into a spatial electric potential well distribution model through a two-dimensional mapping of energy and polarization, providing a clear physical reference for subsequent potential well reconstruction.

[0043] After obtaining the initial mapping of the electric potential well, the optimal energy distribution path within the gas medium is solved using the Hamiltonian variational principle to determine the continuous reconstruction direction of the potential well. By progressively correcting the curvature of the potential energy change corresponding to the polarization response of gas molecules, energy is redistributed within the potential well along the path of minimum potential energy. Specifically, based on the identified energy non-uniform regions, the energy of locally high potential regions is directed to adjacent low potential regions, thereby reducing energy concentration and balancing the overall shape of the potential well. In this process, the orientation polarization and electronic polarization of gas molecules simultaneously participate in the energy redistribution, causing the potential well structure to gradually become smoother under dynamic action. Through continuous variational adjustments, the depth and shape of the electric potential well are optimized, and its boundary energy gradient changes from a steep distribution to a gradual distribution, thus reducing the risk of excessive local field concentration at the physical level. This step realizes the continuous evolution of the electric potential well, making the energy distribution in space more coordinated, and forming a basic equilibrium state for subsequent dynamic control.

[0044] During the continuous reconstruction of the electric potential well, a closed-loop dynamic control process is established based on the trend of potential well morphological changes, enabling an adaptive bidirectional feedback relationship between energy distribution and polarization response. This closed-loop control uses the real-time state of the potential well within the gas medium as a reference. By continuously monitoring the correspondence between the potential well depth and the amplitude of polarizability fluctuations, when the polarizability deviates from the steady-state threshold, the energy distribution path is immediately adjusted, causing a slight deformation of the potential well in a local region to compensate for the dynamic shift in the gas molecule polarization response. In this way, changes in energy distribution no longer lag behind the polarization response but maintain real-time coordination, thus forming a self-correcting and self-regulating energy balance system. During this process, the voltage release chain continues to output segmented diffusion signals, providing energy input and time reference for closed-loop control, ensuring temporal continuity and energy consistency throughout the process. Through dynamic feedback control, the energy flow and polarization response within the gas medium gradually achieve dynamic synchronization, enhancing the stability of the electric potential well and avoiding the risk of secondary discharge caused by energy retention or polarization accumulation.

[0045] After the closed-loop dynamic control enters the steady-state stage, the electric field potential well distribution within the entire gas medium is maintained under long-term stabilization, ensuring that the polarizability of gas molecules remains in dynamic equilibrium within the steady-state threshold. At this point, based on the equilibrium results of the previous stage's feedback control, the boundary of the potential well is fine-tuned to maintain a consistent gradient trend in energy distribution across both time and space. When the gas medium is subjected to external disturbances (such as voltage fluctuations or temperature changes), the electric field potential well can absorb the disturbance energy through adaptive deformation and quickly return to its equilibrium state, thus automatically dissipating the risk of insulation breakdown. During this process, the polarization response of gas molecules no longer exhibits abrupt changes but adjusts synchronously with the slow changes in the electric field potential well. Over time, the changes in the energy field within the gas medium tend to stabilize, the insulation performance remains in a highly stable state, and the impact of voltage fluctuations on polarizability is significantly weakened. Ultimately, the entire closed-loop control process forms an adaptive steady-state maintenance mechanism, enabling the gas medium to maintain continuous insulation strength and electrochemical stability under long-term high-voltage conditions, thereby ensuring the safety and sustainability of system operation.

[0046] Through the above steps, the entire closed-loop dynamic control process based on the Hamiltonian variational principle achieves a complete closed loop, from time-domain slow-release result input, spatial potential well mapping, continuous reconstruction, dynamic feedback to steady-state maintenance. This implementation establishes a self-consistent relationship between energy distribution and polarization response in a physical sense, enabling the gas medium to possess self-balancing capabilities under dynamic high pressure. In an engineering sense, continuous potential well reconstruction achieves proactive dissipation and prevention of insulation breakdown risk. The innovation of this implementation lies in combining gas polarization behavior and energy potential field evolution into a continuously adjustable dynamic system. This allows the stabilization of insulation performance to no longer rely on external control, but rather on adaptive adjustment through internal energy feedback, thereby achieving high stability, high reliability, and long-term operational characteristics of the gas insulation system under dynamic environments.

[0047] This invention establishes a dynamic spatiotemporal mapping model based on the polarization response of gas molecules and combines it with multi-stage energy regulation and electric field confinement strategies to achieve real-time sensing and proactive intervention of the polarization behavior of environmentally friendly insulating gases during the rapid rise of high voltage. By constructing a dynamic prediction baseline and introducing a microscale discharge channel confinement field, it is possible to identify precursory features before abrupt changes in polarization rate occur, enabling the directional redistribution of electric field energy in space, thereby effectively suppressing local energy accumulation and self-excited expansion of the discharge channel. This process significantly improves the polarization stability of the gas medium, keeping the breakdown voltage constant and repeatable, and providing a more reliable means of evaluating the insulation performance of high-voltage equipment in complex dynamic environments.

[0048] This invention achieves adaptive smoothing of the voltage rise rate and dynamic reconstruction of the electric field potential well by coupling phase conjugate energy release with a time-domain stratified voltage mitigation mechanism. Energy is diffused in layers across both time and space and maintained in equilibrium through closed-loop variational control, ensuring that the gas polarizability remains within the steady-state threshold range. This fundamentally avoids the breakdown risk caused by abrupt secondary polarization changes and energy accumulation. This process not only extends the steady-state duration of the gas medium but also endows the testing device with self-calibration and self-stabilization capabilities, transforming insulation performance testing from passive detection to active control, significantly improving system safety and data reliability.

[0049] This invention provides, for example Figure 2 The environmentally friendly insulating gas key performance parameter testing system shown includes a dynamic spatiotemporal mapping modeling module, a microscale discharge constraint control module, a phase conjugate energy return module, a time-domain hierarchical voltage release module, and a closed-loop dynamic regulation and balance module. The dynamic spatiotemporal mapping modeling module establishes a dynamic spatiotemporal mapping model based on the polarization response of gas molecules. It takes the electric field gradient distribution during the rapid rise of high pressure as the input parameter, generates the corresponding multi-scale polarizability evolution curve, and constructs a dynamic prediction baseline for identifying precursors of nonlinear polarization abrupt changes. The microscale discharge confinement control module constructs a microscale discharge channel confinement field based on the polarization abrupt change precursor parameters of the dynamically predicted baseline output, and performs vector rotation and energy limiting control on the electric field gradient, so that the local electric field energy is absorbed through the spatial redistribution mechanism. The phase conjugate energy return module uses the electric field energy distribution data output by the spatial redistribution mechanism to generate a phase conjugate energy release sequence, and uses the energy density gradient in the discharge channel constraint field as the control variable to perform the reverse energy return operation; The time-domain layered voltage release module constructs a time-domain layered voltage release chain based on the energy release sequence output by the reverse energy foldback operation. It uses a multi-level adjustable pulse delay structure to segment and diffuse the energy release sequence, smoothing the voltage ramp-up rate and weakening the secondary abrupt effect of polarization. The closed-loop dynamic control balance module initiates a closed-loop dynamic control process based on the Hamiltonian variational principle according to the segmented diffusion results of the time-domain layered voltage release chain. This process continuously reconstructs the electric field potential well inside the gas, maintaining the polarizability in a dynamic balance within the steady-state threshold.

[0050] The method for testing key performance parameters of environmentally friendly insulating gas provided in this embodiment of the invention is implemented through the aforementioned testing system for key performance parameters of environmentally friendly insulating gas. For details of the specific methods and procedures of the testing system for key performance parameters of environmentally friendly insulating gas, please refer to the embodiments of the method for testing key performance parameters of environmentally friendly insulating gas, which will not be repeated here.

[0051] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. Method for testing key performance parameters of environmentally friendly insulating gases, characterized in that, The method comprises the following steps: Step one, establish a dynamic space-time mapping model based on the polarization response of gas molecules, take the electric field gradient distribution in the high-voltage rapid rising stage as the input parameter, generate the corresponding multi-scale polarization rate evolution curve, and build a dynamic prediction baseline for identifying the nonlinear polarization mutation precursor; Step two, according to the polarization rate mutation precursor parameter output by the dynamic prediction baseline, build a micro-scale discharge channel constraint field, perform vector rotation and energy amplitude control on the electric field gradient, so that the local electric field energy is absorbed through the space redistribution mechanism; Step three, using the electric field energy distribution data output by the space redistribution mechanism, generate a phase conjugate energy release sequence, take the energy density gradient in the discharge channel constraint field as the control variable, and perform the reverse energy folding operation; Step four, based on the energy release sequence output by the reverse energy folding operation, build a time-domain layered voltage slow-release chain, use a multi-stage adjustable pulse delay structure to segment and diffuse the energy release sequence, smooth the voltage rising rate, and weaken the secondary mutation effect of the polarization rate; Step five, according to the segmented diffusion result of the time-domain layered voltage slow-release chain, start the closed-loop dynamic regulation process based on the Hamiltonian variation principle, continuously reconstruct the electric field potential well inside the gas, and maintain the polarization rate in the dynamic balance within the steady-state threshold.

2. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 1, characterized in that, The step of establishing a dynamic space-time mapping model based on the polarization response of gas molecules comprises: Collecting multi-dimensional physical quantities of the gas medium in the high-voltage rapid rising stage, taking the electric field gradient distribution as the input parameter, and simultaneously obtaining the temperature, pressure, density and dielectric constant variation trend of the gas, establishing the correspondence between the electric field gradient and the molecular polarization intensity, and forming the space-time mapping framework of the electric field and the polarization response; According to the space-time mapping framework, the polarization response of the gas molecules is expanded point by point to form a multi-scale polarization rate evolution curve that changes with time and space position, representing the transition process of the gas molecules from steady-state polarization to nonlinear polarization; Identify the polarization rate mutation precursor area on the multi-scale polarization rate evolution curve, and establish a dynamically adjusted prediction baseline that changes with time and space, reflecting the energy accumulation and polarization coupling degree in the gas medium; Based on the output result of the dynamic prediction baseline, the polarization response of the gas molecules is continuously tracked and corrected, so that the polarization state of the gas medium is maintained within the baseline balance interval, and the polarization rate mutation risk is identified and intervened in advance.

3. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 1, characterized in that, The step of constructing a micro-scale discharge channel constraint field according to the polarization rate mutation precursor parameter output by the dynamic prediction baseline comprises: According to the polarization rate mutation precursor parameter output by the dynamic prediction baseline, the spatial distribution state of the electric field in the gas medium is subdivided, the electric field intensity, polarization rate change rate and energy density are taken as related variables, and an energy distribution map is formed to mark the starting area of the potential discharge channel; In the identified potential discharge channel area, the electric field gradient direction is rotated to make the local electric field energy deflect to the low energy density area; After completing the electric field direction rotation, the electric field energy in the high-energy area is amplitude-controlled to form an energy buffer area by guiding the energy to the adjacent low-field area, delaying the energy threshold of the discharge channel formation; The spatial redistribution mechanism is constructed by combining the rotation of the electric field direction and the energy amplitude control result, so that the local energy is absorbed and redistributed by the adjacent region.

4. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 3, characterized in that, In the process of amplitude control of the electric field energy in the high-energy region, the energy release is controlled by the change rate of the polarization rate mutation precursor parameter, and the time-continuous energy transfer path is established between the high-energy region and the adjacent low-field region, so that the electric field energy is diffused in space in stages.

5. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 3, characterized in that, The steps of generating a phase conjugate energy release sequence using the electric field energy distribution data output by the spatial redistribution mechanism include: According to the electric field energy distribution data output by the spatial redistribution mechanism, the energy field inside the gas medium is divided into multiple levels of energy density partitions, the energy gradient direction and change rate are identified, and the spatial center and peripheral decay region of the energy accumulation core are determined; Taking the energy density gradient in the discharge channel constraint field as the control variable, the space-time phase relationship of the energy transfer path in the gas medium is adjusted, so that the energy release direction and the energy accumulation direction form a phase-reversed corresponding structure, and a conjugate energy feedback path is established; When the energy density gradient exceeds the stable threshold, the reverse energy turn-back operation is performed, so that the energy flows in the opposite direction along the conjugate path and returns to the low-energy density area, reducing the energy accumulation core in the local focusing area; The time and space consistency of the energy distribution after the reverse turn-back is reconstructed, so that the spatial redistribution mechanism and the reverse energy release process form a closed loop coupling.

6. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 5, characterized in that, In the process of reverse energy turn-back operation, the reverse flow of energy along the phase conjugate path is triggered when the energy density gradient exceeds the stable threshold, and the energy peak value of the high-field region is reduced in the energy distribution reconstruction stage after the turn-back, so that the energy is redistributed to the low-energy region.

7. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 5, characterized in that, The steps of constructing a time-domain layered voltage release chain based on the energy release sequence output by the reverse energy turn-back operation include: According to the energy release sequence output by the reverse energy turn-back operation, the energy release law inside the gas medium with time is sorted and analyzed, the peak stage, the slow release stage and the tail decay stage of energy release are identified, and the energy sequence is segmented to form a time partition structure; The energy density of each time partition is layered and summarized, and a layered node structure with multi-level delay characteristics is established according to the matching relationship between the energy peak value and the voltage rise rate, so that the energy release process is unfolded layer by layer to form a multi-level transition of voltage. After forming the layered structure, a multi-level adjustable pulse delay mechanism is introduced to set a time delay interval between adjacent levels, so that the energy release sequence is performed in turn to smooth the voltage rise rate and prolong the steady-state response time. After the energy diffusion is completed, the energy release data and time interval of each layered node are closed-loop coordinated to form a complete voltage release time sequence curve.

8. The method for testing key performance parameters of environmentally friendly insulating gases according to claim 7, characterized in that, The time delay interval in the multi-level adjustable pulse delay mechanism is dynamically set according to the energy release amplitude of each layered node and the polarization response recovery time of the gas molecules, so that the energy transfer sequence and the voltage rise rate between adjacent levels are kept in synchronization.

9. The method for testing key performance parameters of environmentally friendly insulating gas according to claim 7, characterized in that, The steps of starting a closed-loop dynamic regulation process based on the Hamiltonian variation principle according to the segmented diffusion result of the time-domain layered voltage release chain include: According to the segmented diffusion results of the time-domain layered voltage slow-release chain, the energy distribution state inside the gas medium is overall evaluated, an initial mapping of the electric field potential energy distribution is formed, and the energy uneven area and polarization imbalance area are identified; After obtaining the initial mapping of the electric field potential well, the optimal distribution path of the energy inside the gas medium is adjusted using the Hamiltonian variation principle, the energy of the local high potential area is guided to the adjacent low potential area, the potential well form is balanced, and the local field strength concentration is reduced; During the continuous reconstruction of the electric field potential well, a closed-loop dynamic regulation relationship is established, the energy distribution path is adjusted in real time by monitoring the corresponding relationship between the potential well depth and the polarization rate fluctuation amplitude, so that the energy distribution and the polarization response remain coordinated; After the closed-loop dynamic regulation reaches a steady state, the boundaries of the electric field potential well are fine-tuned, and the energy distribution of the gas medium maintains a consistent gradient in the time and space dimensions.

10. A system for testing key performance parameters of environmentally friendly insulating gases, for implementing the method for testing key performance parameters of environmentally friendly insulating gases according to any one of claims 1 to 9, characterized in that, It includes a dynamic space-time mapping modeling module, a micro-scale discharge constraint control module, a phase conjugate energy return module, a time-domain layered voltage slow-release module, and a closed-loop dynamic regulation balancing module; The dynamic space-time mapping modeling module establishes a dynamic space-time mapping model based on the polarization response of gas molecules, takes the electric field gradient distribution in the high-voltage rapid rise stage as the input parameter, generates the corresponding multi-scale polarization rate evolution curve, and constructs a dynamic prediction baseline for identifying the precursors of nonlinear polarization mutation; The micro-scale discharge constraint control module constructs a micro-scale discharge channel constraint field according to the polarization rate mutation precursor parameters output by the dynamic prediction baseline, performs vector rotation and energy amplitude control on the electric field gradient, so that the local electric field energy is absorbed through spatial redistribution mechanism; The phase conjugate energy return module generates a phase conjugate energy release sequence using the electric field energy distribution data output by the spatial redistribution mechanism, takes the energy density gradient in the discharge channel constraint field as the control variable, and performs reverse energy return operation; The time-domain layered voltage slow-release module constructs a time-domain layered voltage slow-release chain based on the energy release sequence output by the reverse energy return operation, uses a multi-stage adjustable pulse delay structure to segment and diffuse the energy release sequence, smooths the voltage rise rate, and weakens the secondary mutation effect of the polarization rate; The closed-loop dynamic regulation balancing module starts the closed-loop dynamic regulation process based on the Hamiltonian variation principle according to the segmented diffusion results of the time-domain layered voltage slow-release chain, and continuously reconstructs the electric field potential well inside the gas to maintain the dynamic balance of the polarization rate within the steady-state threshold.

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