A method and system for monitoring the state of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases

Abstract

This invention discloses a method and system for monitoring the status of ring main units (RNBs) compatible with sulfur hexafluoride (SF6) and environmentally friendly gases, belonging to the field of RNB monitoring technology. The method includes the following steps: acquiring gas chamber pressure-temperature curves, recording the rate of change under rapid cooling scenarios, and constructing a pressure response rhythm; identifying rate deviation segments and generating a dynamic compensation and correction sequence; reordering the pressure curves temporally to restore the true correspondence; generating a dynamic evolution curve of insulation margin and superimposing it with the electric field change rhythm to form an early risk indication result; and converting the alarm criterion into an insulation margin change trend to achieve early alarm detection. This invention improves the accuracy of gas insulation status judgment by reconstructing the pressure response rhythm under sudden temperature drops and reordering the temporal sequence; simultaneously, it replaces the temperature-density criterion with the dynamic evolution trend of insulation margin, achieving early alarm detection and risk warning control before peak load periods.

Description

Technical Field

[0001] This invention relates to the field of ring main unit monitoring technology, specifically to a method and system for monitoring the status of ring main units that is compatible with sulfur hexafluoride and environmentally friendly gases. Background Technology

[0002] Status monitoring of ring main units compatible with sulfur hexafluoride and environmentally friendly gases involves continuously collecting and comprehensively analyzing data on gas chamber pressure, gas density, trace moisture content, decomposition product concentration, partial discharge amplitude, temperature rise distribution, mechanism action characteristics, and sealing integrity, based on the differences in the physical properties of the gas medium and changes in operating conditions. By establishing an operating threshold model associated with gas type, the system identifies risks of changes in insulation margin, arc extinguishing performance degradation, or abnormal decomposition caused by gas replacement. This enables real-time judgment and early warning of the equipment's safe operating status, deterioration trends, and potential faults, ensuring the long-term stable operation of the ring main unit.

[0003] The existing technology has the following shortcomings:

[0004] Under operating conditions compatible with both sulfur hexafluoride (SF6) and environmentally friendly gases, when the external environment cools rapidly, the internal gas temperature drops sharply, causing a significant instantaneous change in gas density. Since density compensation curves are typically based on stable temperature-density relationships, they are prone to short-term reverse drift under sudden temperature changes. During this process, the monitoring system continues to correct the acquired signals according to the established temperature and density correction model, easily misinterpreting the actual decrease in gas pressure as sensor signal drift or measurement fluctuations, failing to promptly identify a significant decrease in gas insulation capacity. As the load gradually increases, the internal electric field strength continues to rise, while the gas insulation margin has already significantly decreased without triggering an alarm. This poses a high risk of breakdown or flashover accidents during peak load periods, with sudden and severe consequences.

[0005] It should be noted that the so-called insulation margin refers to the safety margin reserved between the current actual insulation capacity of the equipment and its highest possible operating voltage.

[0006] 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

[0007] The purpose of this invention is to provide a method and system for monitoring the status of a ring main unit that is compatible with sulfur hexafluoride and environmentally friendly gases, so as to solve the problems in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases, comprising the following steps:

[0009] Step 1: Collect the pressure change curve and temperature change curve inside the air chamber. Under the scenario of rapid cooling of the external environment, simultaneously record the pressure change rate and temperature change rate to form the pressure response rhythm corresponding to the sudden drop in temperature and establish the instantaneous correspondence between temperature change and pressure change.

[0010] Step 2: Based on the pressure response rhythm corresponding to the sudden drop in temperature, extract the deviation segment between the rate of temperature change and the rate of pressure change, generate a dynamic compensation and correction sequence, and separate the deviation segment from the existing temperature-density correspondence.

[0011] Step 3: Based on the dynamic compensation correction sequence, the pressure change curve is rearranged in time sequence, and the pressure readings in the deviation section are remapped according to the principle of consistent temperature change rate to restore the true correspondence between temperature change and pressure change.

[0012] Step 4: Based on the restored true correspondence, generate the dynamic evolution curve of insulation margin, and superimpose the electric field change rhythm during the load increase stage onto the dynamic evolution curve of insulation margin to form the result of early risk manifestation.

[0013] Step 5: Based on the results of early risk manifestation, the alarm triggering time is adjusted to be moved forward, and the alarm judgment criteria are changed from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve, so as to achieve early warning control before the arrival of peak load.

[0014] Preferably, the pressure response rhythm corresponding to a sudden drop in temperature includes the following steps:

[0015] The pressure and temperature inside the air chamber are collected synchronously according to a preset time unit, and pressure change curves and temperature change curves are formed in time sequence. The corresponding time segment for rapid cooling is determined by the temperature value difference between consecutive time nodes.

[0016] Within the time interval corresponding to rapid cooling, the pressure and temperature differences between adjacent time nodes are calculated point by point based on the pressure and temperature change curves, forming pressure and temperature change rate records corresponding to time markers, and then arranged in pairs according to time order.

[0017] By comparing the pressure change rate records and temperature change rate records along the time axis, the response time difference between the pressure change rate and the temperature change rate is marked, forming a pressure response rhythm covering the rapid cooling section.

[0018] The rate of temperature change and the rate of pressure change in the pressure response rhythm are integrated point by point into instantaneous corresponding data, and expressed in relation to the pressure change curve, forming a mapping structure on the same time axis that includes pressure value, temperature value and rate of change.

[0019] Preferably, the pressure response rhythm includes the directional correspondence between the temperature change rate and the pressure change rate under the same time marker and the response time difference record. The instantaneous response data covers the beginning, middle and end stages of the rapid cooling corresponding time segment, and a time-continuous mapping structure is formed by embedding the instantaneous response data into the pressure change curve.

[0020] Preferably, extracting the deviation range between the rate of temperature change and the rate of pressure change, and generating a dynamic compensation correction sequence includes the following steps:

[0021] The pressure response rhythm corresponding to the sudden drop in temperature is unfolded point by point along a unified time axis. The direction of the temperature change rate at continuous time nodes is determined. The pressure change rate at the same time node is compared within the temperature-dominant change range. Deviation starting nodes where the direction of the pressure change rate is inconsistent with the direction of the temperature change rate and deviation ending nodes where they become consistent are recorded, forming deviation ranges with clear boundaries.

[0022] Within the deviation zone, the rates of temperature change and pressure change are arranged in the original time order. The reverse drift nodes where the direction of pressure change rate is opposite to that of temperature change rate are marked. The pressure change rates are rearranged according to the time progression of temperature change rate to form the pressure response sequence corresponding to the deviation zone.

[0023] The pressure response sequences corresponding to each deviation segment are spliced ​​together in chronological order to form a dynamic compensation correction sequence. The dynamic compensation correction sequence is then embedded into the time chain of the existing temperature-density correspondence according to the time node to replace the deviation segment mapping segment, thereby achieving the separation of the deviation segment from the existing temperature-density correspondence.

[0024] Preferably, the dynamic compensation correction sequence is embedded into the time chain of the existing temperature-density correspondence. Within the deviation segment, the original mapping relationship is replaced by the mapping relationship between the temperature change rate and the pressure change rate corresponding to the dynamic compensation correction sequence. Outside the deviation segment, the continuous expression structure of the existing temperature-density correspondence is maintained.

[0025] Preferably, restoring the true correspondence between temperature changes and pressure changes includes the following steps:

[0026] The deviation section covered by the dynamic compensation and correction sequence is located along a unified time axis. Pressure readings within the deviation section are extracted and a list of time nodes corresponding to the rate of temperature change is established, while keeping the time sequence of pressure readings outside the deviation section unchanged.

[0027] Based on the principle of consistent temperature change rate, the pressure readings in the time node list are rearranged according to the direction of temperature change rate and the time progression order to form a rearranged pressure reading sequence synchronized with the temperature change rate.

[0028] The pressure reading sequence is rearranged and embedded into the pressure change curve according to the original time range, replacing the original pressure readings in the deviation range. The rearranged pressure change curve is then matched point by point with the temperature change curve to restore the true correspondence between temperature change and pressure change.

[0029] Preferably, generating early risk visibility results includes the following steps:

[0030] Based on the restored true correspondence, the pressure and temperature readings at each time point are extracted and combined with the equipment operating voltage data to calculate the insulation margin value, and arranged in chronological order to form a dynamic evolution curve of the insulation margin.

[0031] Operating load data is extracted according to the same time points as pressure and temperature readings and converted into electric field strength values. Insulation margin values ​​and electric field strength values ​​are then arranged correspondingly on the same time axis.

[0032] During the load increase phase, the electric field intensity value is mapped along the time axis to the dynamic evolution curve of insulation margin, forming a combined sequence that includes the trajectory of insulation margin change and the rhythm of electric field change.

[0033] Based on the relative changes in insulation margin and electric field strength in the combined sequence, the time points when the insulation margin continuously decreases and the electric field strength increases are marked, and the corresponding combined data are recorded as the result of early risk manifestation.

[0034] Preferably, the criteria for determining the time points where the insulation margin continuously decreases and the electric field strength increases include: during the load increase phase, the dynamic evolution curve of the insulation margin continuously shows a decreasing trajectory along the time axis, and the electric field strength expression value at the corresponding time point shows an increasing trajectory along the time axis. The insulation margin values ​​and electric field strength expression values ​​at the corresponding time point and subsequent time points are linked to form a record to limit the judgment conditions for the early manifestation of risk.

[0035] Preferably, adjusting the alarm trigger time by moving it forward includes the following steps:

[0036] Mark the time segments corresponding to the early risk manifestation results along the time axis, expand the insulation margin value and electric field strength expression value, determine the risk development segment where the insulation margin continuously decreases and the electric field strength increases, and record the starting time node of the risk development segment as the candidate starting point of the early warning, while locating the trigger time node of the plaintiff's early warning.

[0037] The relationship between the dynamic evolution curve of insulation margin and the expression value of electric field intensity is explored around the candidate starting point of the early warning. The changing trend of the dynamic evolution curve of insulation margin is used as the alarm criterion to determine the new alarm trigger time, and the new alarm trigger time is compared with the original alarm trigger time node.

[0038] The new alarm trigger time is embedded into the running time series and arranged in correspondence with the load peak time node. When the new alarm trigger time is before the load peak time node, the corresponding time node is recorded as the early warning control node before the arrival of the load peak.

[0039] A ring main unit status monitoring system compatible with sulfur hexafluoride and environmentally friendly gases includes a temperature and pressure response construction module, a deviation identification and correction module, a time sequence rearrangement mapping module, a margin evolution analysis module, and an early warning criterion adjustment module.

[0040] The temperature and pressure response construction module collects the pressure change curve and temperature change curve inside the air chamber. Under the scenario of rapid cooling of the external environment, it simultaneously records the pressure change rate and temperature change rate to form the pressure response rhythm corresponding to the sudden drop in temperature.

[0041] The deviation identification and correction module extracts the deviation segment between the temperature change rate and the pressure change rate based on the pressure response rhythm corresponding to the temperature drop, generates a dynamic compensation and correction sequence, and separates the deviation segment from the existing temperature-density correspondence.

[0042] The timing rearrangement mapping module performs timing rearrangement on the pressure change curve based on the dynamic compensation correction sequence, and remaps the pressure readings in the deviation section according to the principle of consistent temperature change rate, so as to restore the true correspondence between temperature change and pressure change.

[0043] The margin evolution analysis module generates a dynamic evolution curve of insulation margin based on the restored true correspondence, and superimposes the electric field change rhythm during the load rise stage onto the dynamic evolution curve of insulation margin to form a result of early risk manifestation.

[0044] The early warning criterion adjustment module adjusts the alarm trigger time forward based on the early manifestation of risks, changing the alarm criterion from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve.

[0045] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0046] This invention constructs a pressure response rhythm corresponding to a sudden temperature drop and performs temporal rearrangement of the pressure change curve, enabling accurate reconstruction of the transient response of gas during rapid cooling. This avoids misinterpreting the actual pressure drop as measurement fluctuations or signal anomalies, restoring the true correspondence between temperature and pressure changes. By separating the deviation segment from the temperature-density correspondence, gas state assessment no longer relies on steady-state assumptions, accurately reflecting changes in gas insulation capacity under rapid temperature change conditions, thus improving the accuracy and continuity of state assessment.

[0047] This invention transforms the alarm criterion from a temperature-density correlation to the changing trend of the insulation margin dynamic evolution curve, and superimposes the electric field change rhythm during the load rise phase onto the insulation margin dynamic evolution curve. This allows risk states to be presented in the time series before the load peak arrives, enabling the alarm triggering time to be adjusted in advance. By using the dynamic change of insulation margin as the core judgment criterion, the early warning control shifts from a parameter over-limit response to a trend prediction response, improving the ability to identify breakdown or flashover risks in advance and enhancing the safety assurance level of equipment operation. Attached Figure Description

[0048] 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.

[0049] Figure 1 This is a flowchart of the present invention;

[0050] Figure 2 This is a flowchart illustrating the pressure response rhythm corresponding to a sudden drop in temperature, as described in this invention.

[0051] Figure 3 This is a flowchart illustrating the process of extracting the deviation segment between the rate of temperature change and the rate of pressure change and generating a dynamic compensation and correction sequence in this invention.

[0052] Figure 4 This is a schematic diagram of the modules of the present invention. Detailed Implementation

[0053] 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.

[0054] This invention provides, for example Figures 1 to 3The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases, as shown, includes the following steps:

[0055] Step 1: Collect the pressure change curve and temperature change curve inside the air chamber. Under the scenario of rapid cooling of the external environment, simultaneously record the pressure change rate and temperature change rate to form the pressure response rhythm corresponding to the sudden drop in temperature and establish the instantaneous correspondence between temperature change and pressure change.

[0056] The specific steps for obtaining the pressure response rhythm corresponding to a sudden drop in temperature are as follows:

[0057] During continuous operation of the equipment, the internal pressure of the gas chamber is periodically collected at fixed intervals of a preset time unit. Simultaneously, internal temperature data is collected at the same time points, ensuring that each time point generates a corresponding record of pressure and temperature values. All collected data are arranged chronologically, forming a continuous time series of pressure and temperature change curves. By comparing the temperature differences between consecutive time points, the continuous time intervals where the temperature drop reaches a preset standard within a unit of time are identified as the time intervals corresponding to the rapid cooling scenario, thus determining that a rapid cooling of the external environment has occurred. Within these time intervals, pressure and temperature are continuously recorded synchronously, ensuring that the pressure and temperature change curves have consistent time scales and a continuous data arrangement throughout the rapid cooling process. This allows subsequent extraction of pressure and temperature change rates to be based on a complete time series.

[0058] It should be noted that the preset change standard can be set based on the characteristics of the gas type, the equipment operating environment, and historical operating data. Specifically, based on the natural temperature fluctuation range of the gas in the chamber under normal operating conditions, the maximum normal fluctuation value of temperature change per unit time can be statistically analyzed, and a threshold higher than the normal fluctuation range can be set as the criterion for rapid cooling. For example, by performing time series analysis on historical operating data, the upper limit of temperature change per unit time during the stable operation phase can be determined. When the actual monitored temperature drop per unit time continuously exceeds this upper limit and reaches the set duration, it is determined to be a rapid cooling scenario. For different gas types, corresponding change standards can also be set based on their heat capacity characteristics and temperature response characteristics, so that the preset change standard can distinguish between normal fluctuations and accurately identify sudden temperature drops.

[0059] Based on the established pressure and temperature change curves, within the time segment corresponding to the rapid cooling scenario, the pressure difference between consecutive time nodes is calculated point by point. The pressure difference between two adjacent time nodes is mapped to the corresponding time interval, forming a pressure change rate record for each time node. Simultaneously, the temperature difference between consecutive time nodes is calculated point by point, and the temperature difference between two adjacent time nodes is mapped to the corresponding time interval, forming a temperature change rate record for each time node. At each time node, the pressure and temperature change rates are paired and arranged in chronological order, forming a three-dimensional data sequence containing a time identifier, pressure change rate, and temperature change rate. At the start of the temperature drop, the temperature change rate value of that time node is recorded, and the pressure change rate value of the corresponding time node is recorded simultaneously, so that the rate changes during the temperature drop process form a continuous synchronous sequence on the time axis. By continuously recording the rate data throughout the entire rapid cooling segment, the dynamic relationship between the pressure and temperature change rates is fully presented in the time dimension.

[0060] After obtaining the complete rate synchronization sequence, the direction of temperature change rate and pressure change rate are compared point by point, using time sequence as the main line. When the temperature change rate maintains a decreasing direction at multiple consecutive time points, the direction of pressure change rate at the same time point is recorded, and the response time difference between the pressure change rate and the temperature change rate is marked. At the time points where the temperature change rate changes and turns, the changes in the pressure change rate at that time point and several subsequent time points are recorded simultaneously, so that the temporal coordination relationship between the temperature change rate and the pressure change rate is fully expressed. The temperature change rate and pressure change rate at all time points in the entire rapid cooling section are arranged in chronological order to form a pressure response rhythm reflecting the sequence of pressure response during the rapid temperature drop. By recording the rate comparison at each time point, the pressure response rhythm corresponding to the rapid temperature drop is expressed as a continuous curve on the time axis. This curve can reflect the response process where temperature change precedes pressure change and the distribution of the time interval between the two.

[0061] Based on the established pressure response rhythm corresponding to the rapid temperature drop, the temperature change rate and pressure change rate at each time point are integrated as a set of instantaneous corresponding data, so that any time point on the time axis corresponds to a unique combination of temperature change rate and pressure change rate. Within the rapid cooling section, from the start time point to the end time point, all corresponding data are continuously arranged in chronological order, ensuring the continuity of the instantaneous correspondence between temperature and pressure changes throughout the entire section. For each time point in the initial, intermediate, and final stages of the rapid temperature drop, the numerical combination of temperature and pressure change rates is recorded, ensuring the instantaneous correspondence between temperature and pressure changes covers the entire rapid cooling process. Based on this, the established pressure response rhythm is correlated with the original pressure change curve, so that the original pressure change curve includes temperature change rate information within the rapid cooling section, thus simultaneously presenting pressure change values, temperature change values, and their corresponding rate of change relationships on the same time axis. Through the above process, the instantaneous correspondence between temperature change and pressure change is fully established in the rapid cooling scenario, and a continuous mapping structure is formed in the time dimension, laying a continuous data foundation for further processing around this instantaneous correspondence.

[0062] Step 2: Based on the pressure response rhythm corresponding to the sudden drop in temperature, extract the deviation segment between the rate of temperature change and the rate of pressure change, generate a dynamic compensation and correction sequence, and separate the deviation segment from the existing temperature-density correspondence.

[0063] The deviation range between the rate of temperature change and the rate of pressure change is extracted, and a dynamic compensation correction sequence is generated. The specific steps are as follows:

[0064] In the established time series of pressure response rhythms corresponding to a sudden temperature drop, using a unified time scale as the main line, the rate of temperature change and the rate of pressure change at each time point are unfolded point by point in chronological order. The direction of the rate of temperature change at consecutive time points is determined. When the rate of temperature change at multiple consecutive time points is decreasing, this consecutive segment is marked as the dominant temperature change segment. Within this dominant temperature change segment, the rate of pressure change and the rate of temperature change at the same time point are compared point by point. When the rate of temperature change at a certain time point is still decreasing, but the rate of pressure change increases, this time point is recorded as a deviation from the initial value. Nodes; continue expanding point by point, when the rate of pressure change turns downward again and is consistent with the rate of temperature change, record this time node as the deviation termination node; determine all consecutive time nodes between the deviation start node and the deviation termination node as a complete deviation segment; scan all time nodes within the entire rapid cooling time range point by point, identify all deviation segments according to the same judgment method, and completely retain the start time, end time, and the rate of temperature change and the rate of pressure change within each deviation segment, so that the deviation segments between the rate of temperature change and the rate of pressure change form a set of segments with clear boundaries on the time axis.

[0065] Within each identified deviation segment, the rates of temperature and pressure change at all time points within the segment are rearranged according to the original chronological order. The temperature rate of change at each time point is used as the dominant reference, and the pressure rate of change is expanded point by point in chronological order. The number of directional changes in the pressure rate of change within the segment and the duration of those changes are recorded. Within the deviation segment, when the direction of the pressure rate of change is opposite to the direction of the temperature rate of change, this time point is marked as a reverse drift node. The changes in the rate of temperature change at consecutive time points before and after this reverse drift node are recorded, ensuring a complete representation of the continuity of the temperature rate of change before and after the reverse drift node. Subsequently, the pressure rate of change within the deviation segment is arranged according to the chronological order of the temperature rate of change. The pressure change rate of each reverse drift node is rearranged to align with the temperature change rate, ensuring that the pressure change rhythm within the segment progresses in sync with the temperature change rhythm over time. The rearranged pressure change rate sequence is then matched with the original temperature change rate sequence within the segment to form a new pressure response sequence corresponding to the deviation segment. This process is repeated for all deviation segments, and the rearranged pressure response sequences within each segment are then concatenated in chronological order to form a continuous sequence covering all deviation segments. This continuous sequence is designated as the dynamic compensation correction sequence, ensuring that it fully reflects the rhythmic relationship between the temperature change rate and the pressure change rate after their re-correspondence within the deviation segment.

[0066] After forming the dynamic compensation and correction sequence, the sequence is aligned point-by-point with the time nodes in the existing temperature-density correspondence. Within the rapid cooling time range, the mapping segment in the existing temperature-density correspondence that is the same as the time range of the deviation segment is extracted separately, and this mapping segment is stripped from the continuous expression chain of the existing temperature-density correspondence, so that the existing temperature-density correspondence suspends its participation in density expression within the time range of the deviation segment. Subsequently, the pressure change rate after the rearrangement in the dynamic compensation and correction sequence is correlated with the temperature change rate at the corresponding time node, and this correspondence is embedded into the time chain of the existing temperature-density correspondence, so that the original mapping segment is replaced by the dynamic compensation and correction sequence. On the time axis, the normal segments before and after the deviation segment still maintain the existing temperature-density correspondence expression mode, while the deviation segment uses the dynamic compensation and correction sequence as an independent expression path, so that the deviation segment forms a segmented expression structure in the overall temperature and pressure relationship framework. Through the above processing, the deviation segment between the rate of temperature change and the rate of pressure change is completely identified and expressed separately. The deviation segment is separated from the existing temperature-density correspondence and replaced with a dynamic compensation correction sequence, so that the temperature and pressure relationship in the entire rapid cooling process maintains a continuous and consistent time expression logic.

[0067] Step 3: Based on the dynamic compensation correction sequence, the pressure change curve is rearranged in time sequence, and the pressure readings in the deviation range are remapped according to the principle of consistent temperature change rate to restore the true correspondence between temperature change and pressure change.

[0068] To restore the true correlation between temperature changes and pressure changes, the specific steps are as follows:

[0069] With the established dynamic compensation and correction sequence and the original pressure change curve expressed on the same time axis, all deviation segments covered by the dynamic compensation and correction sequence are located one by one, and the start and end time nodes of each deviation segment are accurately recorded. Subsequently, in the original pressure change curve, all pressure readings corresponding to each deviation segment's time range are extracted point by point in chronological order, forming a pressure reading list that corresponds one-to-one with each time node. During the extraction process, the temperature change rate value corresponding to each time node is also retained, so that each pressure reading has a temperature change rate identifier corresponding to the time node. Next, the pressure readings within the deviation segment are numbered in chronological order, and a correspondence table between time nodes, pressure readings, and temperature change rates is established, so that the data within the deviation segment is fully presented in an independent expression structure. At the same time, the pressure readings in the original pressure change curve that are before and after the deviation segment remain unchanged in their original chronological order, so that the deviation segment to be processed forms a clear segment boundary in the overall pressure change curve, providing a clear data range and time coordinate for subsequent time sequence rearrangement.

[0070] Below is an exemplary table showing the correspondence between time points, pressure readings, and temperature change rates, as shown in Table 1, to illustrate the one-to-one correspondence among the three within the deviation range (assuming the deviation range is from t3 to t7):

[0071] Table 1 Correspondence between Time Point, Pressure Reading, and Temperature Change Rate

[0072]

[0073] Within this deviation range, each time point corresponds to a unique pressure reading and temperature change rate value, and the three are linked and arranged using a unified time scale. By establishing this correspondence table, the relationship between pressure readings and temperature change rates at the same time point can be clearly reflected, providing a clear data basis for subsequent time-series rearrangement of pressure readings according to the principle of consistent temperature change rates.

[0074] After completing the correspondence between pressure readings and temperature change rates within the deviation zone, the temperature change rate values ​​at each time node within the deviation zone are read point by point, based on the principle of consistent temperature change rates. The pressure readings are then repositioned according to the time progression. Specifically, starting from the initial time node of the deviation zone, the direction of the temperature change rate at that time node is read. Pressure readings with the same direction from the original numbered pressure readings are placed at that time node position, and the already placed pressure readings are removed from the original numbering sequence. Then, the direction of the temperature change rate at the next time node is read, and pressure readings with the same direction are selected from the remaining pressure readings and placed at the corresponding time node position. This process is repeated point by point. The temperature change rate is continuously maintained... Within a time period in the same direction, consecutive pressure readings in the same direction are filled into the corresponding time nodes according to their original order of appearance, so that the pace of pressure readings on the time axis is synchronized with the pace of temperature change. When the rate of temperature change changes direction at a certain time node, the arrangement direction of the pressure readings changes synchronously, so that the placement order of subsequent pressure readings is consistent with the change in the direction of the rate of temperature change. By reading the rate of temperature change point by point, matching the pressure readings point by point, and rearranging them, the pressure readings that were originally out of order in the deviation section are arranged in a new time axis structure that is completely consistent with the rate of temperature change, thus completing the process of remapping the pressure readings in the deviation section according to the principle of consistent rate of temperature change.

[0075] After remapping the pressure readings within the deviation segment, the rearranged pressure readings are embedded into the pressure change curve according to the original time range of the deviation segment, replacing the original pressure reading arrangement structure within the deviation segment. During the embedding process, the order of pressure readings before the start time node of the deviation segment remains unchanged, while the order of pressure readings after the end time node of the deviation segment remains unchanged, so that the entire pressure change curve forms a complete expression structure on the time axis, consisting of the original order of the preceding segment, the rearranged segment order, and the original order of the following segment. Subsequently, the rearranged pressure change curve and the temperature change curve are matched point by point according to the same time node, so that the pressure reading at each time node has a consistent direction and sequence with the temperature change rate at the same time node. In this way, the time correspondence deviation caused by the rhythm misalignment in the deviation segment is corrected, and the true correspondence between temperature change and pressure change is re-established throughout the rapid cooling time range and continuously expressed on a unified time axis, thus completing the entire process of performing time-series rearrangement of the pressure change curve based on the dynamic compensation correction sequence.

[0076] Step four: Based on the restored true correspondence, generate the dynamic evolution curve of insulation margin, and superimpose the electric field change rhythm during the load increase stage onto the dynamic evolution curve of insulation margin to form the result of early risk manifestation.

[0077] The electric field change rhythm during the load increase phase is superimposed onto the insulation margin dynamic evolution curve to generate early risk indication results. The specific steps are as follows:

[0078] After restoring the true correspondence between temperature and pressure changes, the pressure and temperature readings at each time point are extracted point by point according to a unified time scale, and a continuous gas state data sequence is constructed in chronological order. At each time point, the pressure and temperature readings are arranged accordingly, and combined with the equipment operating voltage data at that time point, the voltage level that the gas can withstand under that temperature and pressure conditions is determined. This withstand voltage level is compared with the highest operating voltage of the equipment at the same time point, and the difference between the two is recorded as the insulation margin value at that time point. Subsequently, the insulation margin values ​​of all time points are arranged in chronological order, so that the insulation margin forms a continuous expression sequence throughout the entire operating time. In the rapid cooling section, the insulation margin value is updated point by point on the time axis as the pressure and temperature readings change. In the temperature stable section, the insulation margin value still maintains a continuous temporal arrangement, thus forming a complete dynamic evolution curve of insulation margin covering the rapid cooling stage and its subsequent operating stages.

[0079] It should be noted that:

[0080] The temperature stability zone refers to the operating section where, after the rapid cooling process has ended, the internal temperature of the air chamber no longer experiences a continuous decrease or abrupt change, but rather maintains a relatively gradual change over time. Within this zone, the temperature variation between adjacent time points remains within a small range, the rate of temperature change is close to zero or fluctuates within a small range, and no longer exhibits a rapid unidirectional trend. This zone typically occurs after the ambient temperature has completed its rapid decline and entered a relatively stable state, or when the equipment enters its normal load phase. The characteristic of the temperature stability zone is that the temperature change process is continuous and gradual, clearly distinguishing it from the rapid cooling zone.

[0081] The difference between the two values ​​is recorded as the insulation margin value at that time point. This difference refers to the voltage level that the gas can withstand under the current temperature and pressure readings at that time point, and the highest operating voltage that the equipment may reach at that time point. Specifically, first, the allowable voltage value corresponding to the actual insulation withstand capability of the gas is determined based on the temperature and pressure readings at that time point. Then, this allowable voltage value is subtracted from the highest operating voltage that the equipment may reach under the operating conditions at that time point. The result is the insulation margin value. If the difference is positive, it indicates that the gas's insulation withstand capability is higher than the actual operating voltage, and there is a safety margin. If the difference gradually decreases, it indicates that the safety margin is being compressed, reflecting a decreasing trend in the insulation margin.

[0082] After generating the dynamic evolution curve of insulation margin, the equipment operating load data is extracted according to the same time scale as the pressure and temperature readings. The corresponding load value is recorded at each time node and recorded as an expression value related to the change of electric field intensity inside the equipment. When the load is in a stable phase, the electric field intensity expression value at the corresponding time node is recorded as the stable operating electric field value. During the phase of gradual load increase, the electric field intensity expression value is recorded point by point in time progression, so that the electric field intensity expression value forms a continuous upward trajectory on the time axis. The insulation margin value at each time node is arranged side by side with the electric field intensity expression value at the same time node, so that each time node on the time axis has both insulation margin value and electric field intensity expression value, thereby establishing a correspondence under a unified time coordinate for subsequent superposition processing.

[0083] During the load increase phase, the electric field strength value is mapped point-by-point along the time axis to the dynamic evolution curve of insulation margin, adding information about the rhythm of electric field strength changes to the original time series. Specifically, at the point where the load begins to increase, the electric field strength value and the insulation margin value are combined into a single identifier, and this combination is repeated at each subsequent time point. This ensures that the dynamic evolution curve of insulation margin shows a synchronous arrangement of the insulation margin change trajectory and the electric field strength change trajectory during the load increase phase. When the electric field strength value increases at multiple consecutive time points, the corresponding insulation margin value shows a synchronous trend along the time axis. By arranging the positional relationship of the two trajectories on the time axis, the dynamic relationship between insulation capacity and electrical stress is fully expressed within the same time series.

[0084] After completing the superposition of the electric field change rhythm, the relative changes of the insulation margin value and the electric field strength value on the time axis are continuously recorded. When the insulation margin value gradually decreases in consecutive time nodes and the electric field strength value increases synchronously, the time node is marked as the risk early manifestation node. The combined data of insulation margin and electric field strength of this node and several subsequent time nodes are recorded as the risk early manifestation result. Before the load reaches its peak, the risk state is presented in advance in the time series by superimposing the dynamic evolution curve of insulation margin on the time axis with the electric field change rhythm, thereby forming a complete risk early manifestation result expression structure. This realizes the generation of the dynamic evolution curve of insulation margin based on the restored true correspondence, and the superposition of the electric field change rhythm of the load rising stage to the dynamic evolution curve of insulation margin to form the entire process of risk early manifestation result.

[0085] Step 5: Based on the results of early risk manifestation, the alarm triggering time is adjusted to be moved forward, and the alarm criterion is changed from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve, so as to achieve early warning control before the arrival of peak load.

[0086] To address the issue of early risk detection, the alarm triggering time will be adjusted to be moved forward. The specific steps are as follows:

[0087] After the early risk indication results are established, the time segments corresponding to these results are marked separately on the complete operating timeline. The insulation margin values ​​and electric field strength values ​​within each time segment are then analyzed point-by-point in chronological order. Within this time segment, the insulation margin values ​​at each time node are continuously arranged, recording the direction and magnitude of insulation margin changes between adjacent time nodes. Simultaneously, the direction of change in the electric field strength value at the same time node is recorded, ensuring that each time node contains both insulation margin and electric field change information. On the timeline, when the insulation margin values ​​decrease for multiple consecutive time nodes and the electric field strength values ​​increase at the same time node, this continuous time segment is defined as the risk development segment, and its starting time node is recorded as the candidate warning starting point. Subsequently, the alarm triggering time nodes, originally set based on the temperature-density relationship, are positioned on the same timeline, establishing a clear temporal sequence between the original alarm triggering time nodes and the candidate warning starting point, providing specific time coordinate references for subsequent adjustments to the alarm triggering time.

[0088] After obtaining the candidate starting point for the early warning, the dynamic evolution curve of the insulation margin is continuously unfolded within a range of several time nodes before and after the candidate starting point. The point-by-point changes in the insulation margin value and the point-by-point changes in the electric field strength value are synchronously arranged. During this arrangement, when the insulation margin value shows a unidirectional decreasing trajectory in continuous time nodes, and the decreasing trajectory and the increasing trajectory of the electric field strength value form a cross-approach relationship on the time axis, this time node is determined as the new alarm trigger time. At the same time, the original alarm criterion based on the temperature-density correspondence is retained in the time series as a reference, but it is no longer used as the basis for determining alarm triggering. Instead, the changing trend of the dynamic evolution curve of the insulation margin is used as the new alarm criterion, changing the alarm triggering condition from a single temperature-density correspondence threshold comparison to a judgment method based on continuous time change trends. Through this criterion conversion, the new alarm trigger time is positioned on the time axis before the original alarm trigger time node, thus completing the forward adjustment of the alarm trigger time.

[0089] After adjusting the alarm trigger time forward, the new alarm trigger time is embedded into the complete operating time series and compared with the electric field change rhythm during the load increase phase. The time node corresponding to the load peak is marked on the time axis and compared with the new alarm trigger time. When the new alarm trigger time is before the load peak time node, the time node is determined as the early warning control time point before the arrival of the load peak. In subsequent operation, the alarm trigger time is continuously updated according to the changing trend of the insulation margin dynamic evolution curve, so that each risk development segment with a decrease in insulation margin and an increase in electric field intensity can form an early warning control node before the arrival of the load peak. This enables early identification and early intervention of risk status in the time dimension, and ultimately realizes the entire process of early warning control before the arrival of the load peak.

[0090] Beneficial effect 1:

[0091] This invention constructs a pressure response rhythm corresponding to a sudden temperature drop and performs temporal rearrangement of the pressure change curve, enabling accurate reconstruction of the transient response of gas during rapid cooling. This avoids misinterpreting the actual pressure drop as measurement fluctuations or signal anomalies, thereby restoring the true correspondence between temperature and pressure changes. By separating the deviation segment from the temperature-density correspondence, gas state assessment no longer relies on steady-state assumptions, enabling a true reflection of changes in gas insulation capacity under rapid temperature change conditions, thus improving the accuracy and continuity of state assessment.

[0092] Benefit 2:

[0093] This invention transforms the alarm criterion from a temperature-density correlation to the changing trend of the insulation margin dynamic evolution curve, and superimposes the electric field change rhythm during the load rise phase onto the insulation margin dynamic evolution curve. This allows risk states to be presented in the time series before the load peak arrives, enabling the alarm triggering time to be adjusted in advance. By using the dynamic change of insulation margin as the core judgment criterion, the early warning control shifts from a parameter over-limit response to a trend prediction response, improving the ability to identify breakdown or flashover risks in advance and enhancing the safety assurance level of equipment operation.

[0094] This invention provides, for example Figure 4 The ring main unit status monitoring system shown includes a temperature and pressure response construction module, a deviation identification and correction module, a time sequence rearrangement mapping module, a margin evolution analysis module, and an early warning criterion adjustment module.

[0095] The temperature and pressure response construction module collects the pressure change curve and temperature change curve inside the air chamber. Under the scenario of rapid cooling of the external environment, it simultaneously records the pressure change rate and temperature change rate to form the pressure response rhythm corresponding to the sudden drop in temperature.

[0096] The deviation identification and correction module extracts the deviation segment between the temperature change rate and the pressure change rate based on the pressure response rhythm corresponding to the temperature drop, generates a dynamic compensation and correction sequence, and separates the deviation segment from the existing temperature-density correspondence.

[0097] The timing rearrangement mapping module performs timing rearrangement on the pressure change curve based on the dynamic compensation correction sequence, and remaps the pressure readings in the deviation section according to the principle of consistent temperature change rate, so as to restore the true correspondence between temperature change and pressure change.

[0098] The margin evolution analysis module generates a dynamic evolution curve of insulation margin based on the restored true correspondence, and superimposes the electric field change rhythm during the load rise stage onto the dynamic evolution curve of insulation margin to form a result of early risk manifestation.

[0099] The early warning criterion adjustment module adjusts the alarm trigger time forward based on the early manifestation of risks, changing the alarm criterion from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve.

[0100] This invention provides a method for monitoring the status of a ring main unit that is compatible with sulfur hexafluoride and environmentally friendly gases. This method is implemented through the aforementioned ring main unit status monitoring system that is compatible with sulfur hexafluoride and environmentally friendly gases. For details on the specific method and process of the ring main unit status monitoring system that is compatible with sulfur hexafluoride and environmentally friendly gases, please refer to the embodiment of the above-mentioned method for monitoring the status of a ring main unit that is compatible with sulfur hexafluoride and environmentally friendly gases, which will not be repeated here.

[0101] 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. A method for monitoring the status of a ring main unit compatible with both sulfur hexafluoride and environmentally friendly gases, characterized in that, Includes the following steps: The pressure change curve and temperature change curve inside the air chamber are collected. Under the scenario of rapid cooling of the external environment, the pressure change rate and temperature change rate are recorded simultaneously to form the pressure response rhythm corresponding to the sudden drop in temperature. Based on the pressure response rhythm corresponding to a sudden drop in temperature, the deviation segment between the rate of temperature change and the rate of pressure change is extracted, and a dynamic compensation and correction sequence is generated to separate the deviation segment from the existing temperature-density correspondence. Based on the dynamic compensation correction sequence, the pressure change curve is rearranged in time sequence, and the pressure readings in the deviation section are remapped according to the principle of consistent temperature change rate, so as to restore the true correspondence between temperature change and pressure change. Based on the restored true correspondence, a dynamic evolution curve of insulation margin is generated, and the electric field change rhythm during the load rise stage is superimposed on the dynamic evolution curve of insulation margin to form a result of early risk manifestation. Based on the early detection of risks, the alarm triggering time is adjusted to be moved forward, and the alarm criterion is changed from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve.

2. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 1, characterized in that, The pressure response rhythm corresponding to a sudden drop in temperature includes the following steps: The pressure and temperature inside the air chamber are collected synchronously according to a preset time unit, and pressure change curves and temperature change curves are generated in chronological order, and the corresponding time segment for rapid cooling is determined. Within the time period corresponding to rapid cooling, the pressure and temperature differences between adjacent time nodes are calculated point by point based on the pressure and temperature change curves to form pressure and temperature change rate records corresponding to time markers. By comparing the pressure change rate records with the temperature change rate records along the time axis, the response time difference between the pressure change rate and the temperature change rate is marked, thus forming the pressure response rhythm. The rate of temperature change and the rate of pressure change in the pressure response rhythm are integrated point by point into instantaneous corresponding data, and expressed in relation to the pressure change curve, forming a mapping structure on the same time axis that includes pressure value, temperature value and rate of change.

3. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 2, characterized in that, The pressure response rhythm includes the directional correspondence between the rate of temperature change and the rate of pressure change under the same time marker, as well as the record of the response time difference. The instantaneous response data covers the beginning, middle and end stages of the rapid cooling time segment, and a time-continuous mapping structure is formed by embedding the instantaneous response data into the pressure change curve.

4. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 2, characterized in that, Extracting the deviation range between the rate of temperature change and the rate of pressure change, and generating a dynamic compensation correction sequence includes the following steps: The pressure response rhythm corresponding to the sudden drop in temperature is unfolded point by point along a unified time axis. Deviations at the starting point where the direction of pressure change rate is inconsistent with the direction of temperature change rate and deviations at the ending point where they become consistent are recorded, forming deviation segments. Within the deviation zone, the rates of temperature change and pressure change are arranged in the original time order. The reverse drift nodes where the direction of pressure change rate is opposite to that of temperature change rate are marked. The pressure change rates are rearranged according to the time progression of temperature change rate to form the pressure response sequence corresponding to the deviation zone. The pressure response sequences corresponding to the deviation sections are spliced ​​together in chronological order to form a dynamic compensation and correction sequence.

5. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 4, characterized in that, The dynamic compensation correction sequence is embedded into the time chain of the existing temperature-density correspondence. Within the deviation segment, the original mapping relationship is replaced by the mapping relationship between the temperature change rate and the pressure change rate corresponding to the dynamic compensation correction sequence. Outside the deviation segment, the continuous expression structure of the existing temperature-density correspondence is maintained.

6. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 4, characterized in that, Restoring the true correlation between temperature changes and pressure changes involves the following steps: The deviation section covered by the dynamic compensation and correction sequence is located along a unified time axis. Pressure readings within the deviation section are extracted and a list of time nodes corresponding to the rate of temperature change is established, while keeping the time sequence of pressure readings outside the deviation section unchanged. Based on the principle of consistent temperature change rate, the pressure readings in the time node list are rearranged according to the direction of temperature change rate and the time progression order to form a rearranged pressure reading sequence synchronized with the temperature change rate. The pressure reading sequence is rearranged and embedded into the pressure change curve according to the original time range, replacing the original pressure readings in the deviation range. The rearranged pressure change curve is then matched point by point with the temperature change curve to restore the true correspondence between temperature change and pressure change.

7. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 6, characterized in that, Generating early risk visibility results involves the following steps: Based on the restored true correspondence, the pressure and temperature readings at each time point are extracted and combined with the equipment operating voltage data to calculate the insulation margin value, forming a dynamic evolution curve of the insulation margin. Operating load data is extracted according to the same time points as pressure and temperature readings and converted into electric field strength values. Insulation margin values ​​and electric field strength values ​​are then arranged correspondingly on the same time axis. During the load increase phase, the electric field intensity value is mapped along the time axis to the insulation margin dynamic evolution curve, forming a combined sequence that includes the insulation margin change trajectory and the electric field change rhythm. Based on the relative changes in insulation margin and electric field strength in the combined sequence, the time points when the insulation margin continuously decreases and the electric field strength increases are marked, and the corresponding combined data are recorded as the result of early risk manifestation.

8. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 7, characterized in that, The criteria for determining the time points where the insulation margin continuously decreases and the electric field strength increases include: during the load increase phase, the dynamic evolution curve of the insulation margin continuously decreases along the time axis, and the electric field strength value at the corresponding time point increases along the time axis. The insulation margin values ​​and electric field strength values ​​at the corresponding time point and subsequent time points are linked to form a record to limit the judgment conditions for the early manifestation of risk.

9. The method for monitoring the status of a ring main unit compatible with sulfur hexafluoride and environmentally friendly gases according to claim 7, characterized in that, Adjusting the alarm trigger time to be moved forward includes the following steps: Mark the time segments corresponding to the early risk manifestation results along the time axis, expand the insulation margin value and electric field strength expression value, determine the risk development segment where the insulation margin continuously decreases and the electric field strength increases, and record the starting time node of the risk development segment as the candidate starting point of the early warning, while locating the trigger time node of the plaintiff's early warning. The relationship between the dynamic evolution curve of insulation margin and the expression value of electric field intensity is explored around the candidate starting point of the early warning. The changing trend of the dynamic evolution curve of insulation margin is used as the alarm criterion to determine the new alarm trigger time. The new alarm trigger time is embedded into the running time series and arranged in correspondence with the load peak time node. When the new alarm trigger time is before the load peak time node, the corresponding time node is recorded as the early warning control node before the arrival of the load peak.

10. A ring main unit status monitoring system compatible with sulfur hexafluoride and environmentally friendly gases, used to implement the ring main unit status monitoring method compatible with sulfur hexafluoride and environmentally friendly gases as described in any one of claims 1-9, characterized in that, It includes a temperature and pressure response construction module, a deviation identification and correction module, a time series rearrangement mapping module, a margin evolution analysis module, and a warning criterion adjustment module; The temperature and pressure response construction module collects the pressure change curve and temperature change curve inside the air chamber. Under the scenario of rapid cooling of the external environment, it simultaneously records the pressure change rate and temperature change rate to form the pressure response rhythm corresponding to the sudden drop in temperature. The deviation identification and correction module extracts the deviation segment between the temperature change rate and the pressure change rate based on the pressure response rhythm corresponding to the temperature drop, generates a dynamic compensation and correction sequence, and separates the deviation segment from the existing temperature-density correspondence. The timing rearrangement mapping module performs timing rearrangement on the pressure change curve based on the dynamic compensation correction sequence, and remaps the pressure readings in the deviation section according to the principle of consistent temperature change rate, so as to restore the true correspondence between temperature change and pressure change. The margin evolution analysis module generates a dynamic evolution curve of insulation margin based on the restored true correspondence, and superimposes the electric field change rhythm during the load rise stage onto the dynamic evolution curve of insulation margin to form a result of early risk manifestation. The early warning criterion adjustment module adjusts the alarm trigger time forward based on the early manifestation of risks, changing the alarm criterion from the temperature-density correspondence to the changing trend of the insulation margin dynamic evolution curve.

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