An environment-friendly gas insulated ring main unit temperature field prediction generation method

Abstract

The application discloses an environment-friendly gas insulated ring main unit temperature field prediction generation method, and particularly relates to the technical field of ring main unit operation monitoring and temperature field prediction, and comprises the following steps: acquiring each measuring point temperature sequence, load current sequence, switch position sequence, environment temperature sequence and cabinet position relationship collected by the edge computing side of the environment-friendly gas insulated ring main unit; performing uniform time scale alignment on each sequence, and cutting according to the load path to form a current segment set corresponding to each measuring point; for the current segment set, extracting the temperature rise starting time, temperature rise slope inflection point time and temperature drop back starting time of each measuring point under the same load path, and forming a current order table between each measuring point according to the time sequence; through bit sequence extraction of the temperature rise sequence, turning change and back-off relationship of the thermal response of each measuring point, and in combination with the historical stable position sequence, the temperature component splitting and position rewriting are performed after the thermal attribution of the measuring point is identified to be shifted, and then the temperature field is generated along the load path.

Description

Technical Field

[0001] This invention relates to the field of ring main unit operation monitoring and temperature field prediction technology, and more specifically, to a method for generating temperature field predictions for environmentally friendly gas-insulated ring main units. Background Technology

[0002] In the operation monitoring of environmentally friendly gas-insulated ring main units, the existing technology mainly revolves around inferring the heat distribution inside the cabinet based on limited temperature measurement information. In engineering implementation, several temperature acquisition points are generally set up under the existing layout of the cabinet, and the load current, ambient temperature, switch position and other operating information are read simultaneously. Then, combined with the preset spatial correspondence, heat transfer relationship or historical change law, the corresponding temperature field result inside the cabinet is formed. Taking the environmentally friendly gas-insulated ring main unit that operates energized for a long time in the power distribution room as an example, it is not feasible to frequently open the cabinet for verification on site, nor is it suitable to add a large number of additional measurement points. It is also required that the edge side continuously provide results that can be used for hotspot location under the existing computing power conditions. However, under these operating conditions, the following situation repeatedly occurs on site: the data acquisition process of some measuring points is always normal, and the data is not interrupted or distorted. But once the local heat transfer path in the cabinet changes, the thermal influence of adjacent compartments increases, or the sealing and medium conditions fluctuate, the heat source corresponding to the temperature change of the measuring point will gradually deviate from its original position. Specifically, the relationship between the heating sequence, synchronous change and cooling drop of the measuring point and the original corresponding part changes. The existing processing method still treats it as a fixed measuring point and directly participates in the generation of the temperature field. Although the resulting temperature distribution appears continuous, it will offset the actual heat source mapping. The root cause of this phenomenon is that most existing solutions assume that the correspondence between the measuring point and the spatial thermal location remains unchanged during operation, and lack the means to identify and correct the situation where the thermal location represented by the measuring point changes. The technical problem to be solved by this application is: how to identify and correct the situation where the thermal position represented by the measuring point changes but the measuring point value itself remains normal when a temperature field is generated on the edge side of the environmentally friendly gas-insulated ring main unit, so as to avoid the temperature field positioning deviation caused by this. Summary of the Invention

[0003] To overcome the aforementioned deficiencies in the prior art, embodiments of the present invention provide a method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit. This method extracts the positional order of the temperature rise, transition changes, and fall relationships of the thermal response at each measuring point, and then performs temperature component splitting and position rewriting after identifying the thermal assignment offset of the measuring points in conjunction with historical stable positional order. Finally, it generates the temperature field along the load path to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit, comprising: S1. Obtain the temperature sequence, load current sequence, switch position sequence, ambient temperature sequence and cabinet position relationship of each measuring point collected by the edge calculation side of the environmental gas insulated ring main unit. Perform unified time scale alignment on each sequence and divide it into the current segment set corresponding to each measuring point according to the load path. S2. For the current fragment set, extract the heating start time, heating slope inflection point time and cooling drop start time of each measuring point under the same load path, and form the current order table between each measuring point according to the time sequence. S3. Obtain historical stable segments under the same load path and the same switch position, form a reference sequence table in the same way as S2, compare the current sequence table with the reference sequence table item by item, solve the target measurement point whose sequence has changed and its heat source measurement point, and form a heat transfer mapping table. Here, "heat borrowing" refers to the fact that the temperature change of the target measuring point in the current segment is not only caused by the heat transfer from its original corresponding position, but also by the superimposed temperature influence from other positions on the same load path; "heat borrowing source measuring point" refers to the temperature influence input measuring point whose positional relationship corresponds to the current temperature change of the target measuring point after comparing the current sequence table with the reference sequence table, and which is determined by candidate mapping and witness verification; the heat borrowing mapping table is used to record the correspondence between the target measuring point and the heat borrowing source measuring point, so that the current temperature value of the target measuring point can be split into the original position temperature component and the borrowed temperature component in the future. S4. Based on the heat borrowing mapping table, on the edge computing side, the current temperature value of each target measuring point is decomposed according to the difference between its temperature and the heat borrowing source measuring point at the start of heating, the inflection point of heating slope, and the start of cooling down, and the original position temperature component and the borrowed temperature component are solved to form a corrected measuring point set. S5. Based on the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence and ambient temperature sequence, segmented generation is performed along the adjacent positions corresponding to the load path to form the temperature field prediction result.

[0005] In a preferred embodiment, S1 includes: S1-1. Read the time stamps in the temperature sequence, load current sequence, switch position sequence and ambient temperature sequence of each measuring point, directly correspond the data at the same sampling time, and insert the data at different sampling times according to the adjacent time intervals, so that each sequence retains only one set of data at the same time, forming a unified time stamp data table. S1-2. Read the unified time-scaled data table and cabinet position relationship, match the conduction position corresponding to the switch position sequence with the connection position in the cabinet position relationship item by item, solve the load path position chain at each time, and determine the time when the load path position chain of the previous time is different from the load path position chain of the next time as the path switching point, and form a path switching table. S1-3. Based on the path switching table, the unified time-stamped data table is divided into continuous time periods between adjacent path switching points, and the temperature data of the measuring points in each continuous time period are arranged according to the corresponding positions of the measuring points in the load path position chain to form the current segment set corresponding to each measuring point.

[0006] In a preferred embodiment, S2 includes: S2-1. For the temperature segments corresponding to each measuring point in the current segment set, calculate the temperature difference between two adjacent moments time by time. Determine the first moment that satisfies the condition that the previous difference is not positive, the next difference is continuously positive, and there is a higher temperature value afterward as the starting moment of the temperature rise of the measuring point, and form a temperature rise start table. S2-2. Based on the heating start table and temperature segments, calculate the change in the difference between adjacent differences time by time after the heating start time of each measuring point. The first time that satisfies the condition that the previous difference change is positive, the next difference change is not positive, and the corresponding temperature value is still increasing continuously is determined as the heating slope inflection point of that measuring point, forming a slope inflection point table.

[0007] In a preferred embodiment, S2 further includes: S2-3. Based on the slope inflection point table and temperature segment, calculate the temperature difference between two adjacent moments after the inflection point of the heating slope corresponding to each measuring point. Determine the first moment when the temperature difference changes from non-negative to negative and the subsequent adjacent temperature difference remains negative as the starting moment of the cooling drop at that measuring point, and form the drop start table. S2-4. Combining the heating start table, the slope inflection point table, and the cooling start table, the heating start time, the heating slope inflection point time, and the cooling start time corresponding to each measuring point are arranged in chronological order to form a three-time sequence. Then, the three-time sequences of any two measuring points are compared bit by bit. The measuring point corresponding to the earlier time is recorded as the previous measuring point, and the measuring point corresponding to the later time is recorded as the next measuring point, thus forming the current order table between the measuring points.

[0008] In a preferred embodiment, S3 includes: S3-1. Retrieve historical stable segments under the same load path and the same switch position, and form historical sequence tables in the same way as S2. Perform item-by-item merging on the preceding position relationship, following position relationship and simultaneous position relationship of any two measuring points in each historical sequence table. Record the measuring point pairs with consistent relationships into the benchmark sequence table and the measuring point pairs with inconsistent relationships into the check table to form the benchmark sequence table and the check table to be calibrated. S3-2. Read the current order table, the baseline order table, and the check table. Perform a line-by-line comparison between the relationship between any two measurement points in the current order table and their relationship in the baseline order table. Record the measurement point pairs whose relationship has changed into the displacement pair table. Record the measurement points that participate in the displacement pair table but do not fall into the check table into the set of measurement points to be solved, thus forming the displacement pair table and the set of measurement points to be solved.

[0009] In a preferred embodiment, S3 further includes: S3-3. For each unsolved measurement point in the set of unsolved measurement points, retrieve the candidate measurement points that are on the same load path as the unsolved measurement point and located on both sides of it in the cabinet position relationship. Extract the current position string of the unsolved measurement point relative to the other measurement points in the current order table, and extract the reference position string of each candidate measurement point relative to the same other measurement points in the reference order table. Perform a bit-by-bit correspondence comparison between the current position string and each reference position string. Retain the candidate measurement points with the same number of consistent position items, the same change table coverage relationship, and no cross-compartment back-through in the cabinet position relationship as heat borrowing candidate measurement points to form a candidate mapping set. S3-4. Based on the candidate mapping set, perform witness verification on the path interval points between each unsolved measurement point and its respective heat-borrowing candidate measurement points. Specifically, verify the positional relationship of the path interval points in the baseline order table relative to the unsolved measurement point and the heat-borrowing candidate measurement points, and verify their positional relationship in the current order table relative to the unsolved measurement point and the heat-borrowing candidate measurement points. Delete heat-borrowing candidate measurement points that increase the number of positional traversals. Repeat the witness verification on the deleted candidate mapping set until the candidate mapping set no longer changes. Determine the remaining heat-borrowing candidate measurement points corresponding to each unsolved measurement point as heat-borrowing source measurement points to form a heat-borrowing mapping table.

[0010] In a preferred embodiment, S4 includes: S4-1. Read the correspondence between each target measuring point and the heat source measuring point in the heat transfer mapping table, extract the temperature segment, the time difference of the start of heating, the time difference of the inflection point of the heating slope, and the time difference of the start of cooling down in the current segment for the target measuring point and the heat source measuring point. Map the three time differences to the segment boundary positions, and perform segmentation and time alignment on the temperature segment accordingly to form the target measuring point segment matrix and the source measuring point segment matrix. S4-2. Based on the segmented matrix of the target measuring point and the segmented matrix of the source measuring point, a joint solution equation set of the original position temperature component sequence and the borrowed temperature component sequence is constructed. The joint solution equation set includes the conservation constraint that the sum of the components is equal to the current temperature value of the target measuring point, the in-situ constraint that maintains the three-time position sequence of the original position according to the reference order table, the heat borrowing constraint that maintains the three-time position sequence of the heat source according to the reference order table, and the continuation constraint that the difference between the segments is continuous. The joint solution equation set is then subjected to regularized linear solution to form the initial split sequence.

[0011] In a preferred embodiment, S4 further includes: S4-3. For the initial split sequence, construct the in-situ residual vector, the heat-borrowing residual vector, and the continuation residual vector respectively. Combine the in-situ residual vector, the heat-borrowing residual vector, and the continuation residual vector into a joint residual matrix. Perform singular value decomposition on the joint residual matrix, extract the principal deviation direction, and perform projection correction on the initial split sequence along the principal deviation direction. Then, recalculate the three times of the target measuring point and the heat-borrowing source measuring point according to the corrected split sequence. Repeat the residual construction, singular value decomposition, and projection correction until the elements of each column of the joint residual matrix remain unchanged or the three times of the recalculated sequence are completely consistent with the three times of the corresponding reference sequence table, thus forming a convergent split sequence.

[0012] In a preferred embodiment, S4 further includes: S4-4. Perform error propagation calculations on the original position temperature component sequence and the borrowed temperature component sequence in the convergent split sequence, solve the order of influence of each segment boundary position on the three-time recalculation results, and perform unilateral interpolation correction and local iterative root finding on the segment boundary positions in the order of influence to form a boundary correction sequence. S4-5. Based on the boundary correction sequence, write the original position temperature component sequence into the original corresponding position of the target measuring point, and write the borrowed temperature component sequence into the corresponding position of the heat source measuring point. Perform total closure check, position sequence restoration check and path consistency check on all writing results. The path consistency check is used to verify that the written temperature component does not cross the path corresponding to the cabinet position relationship. The corrected measuring point set is formed by the writing results that have passed the total closure check, position sequence restoration check and path consistency check.

[0013] In a preferred embodiment, S5 includes: S5-1. Read the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence and ambient temperature sequence. Connect adjacent positions on the same load path in the cabinet position relationship to form a path position chain according to the front and back connection order. Write the temperature value of each measurement point in the corrected measurement point set into the corresponding position in the path position chain to form a path temperature table. S5-2. Based on the path temperature table, load current sequence, switch position sequence and ambient temperature sequence, perform segmented connection calculation for any empty position between two adjacent written positions in the path position chain. Specifically, solve the connection temperature value of each empty position segment by segment according to the temperature value of the written positions at both ends, the number of position intervals, the corresponding load current value and the ambient temperature value, and form a path temperature sequence by arranging the connection temperature field segments according to the order of the path position chain. S5-3. Based on the continuous temperature field segments, write the path temperature sequence corresponding to each load path back to the corresponding position according to the cabinet position relationship, and perform same-position merging on the temperature values ​​of adjacent load paths at the common position to form the temperature field prediction result of the environmentally friendly gas-insulated ring main unit.

[0014] The technical effects and advantages of this invention are as follows: 1. This scheme extracts the starting time of heating, the inflection point of heating slope, and the starting time of cooling down of each measuring point and compares them with the historical benchmark order table. It can identify the changes in the heat assignment of the measuring points and perform heat borrowing correction, thereby relatively suppressing the temperature field positioning shift caused by the spatial semantic shift of the measuring points. 2. By matching the switch position sequence with the cabinet position relationship item by item, solving the load path position chain at each moment and dividing the current segment set according to the path, subsequent time series comparisons can be established under the same path conditions, thereby relatively reducing the interference of path switching on thermal response determination. 3. Merge the historical sequence table formed by historical stable segments and write the measurement point pairs with inconsistent relationships into the check table. This can distinguish the historical fluctuation relationship from the actual displacement relationship, thereby relatively improving the pertinence and stability of heat source identification. 4. By constructing a joint solution system of equations for the in-situ temperature component sequence and the borrowed temperature component sequence, and combining it with conservation constraints, in-situ constraints, heat borrowing constraints and continuity constraints, temperature decomposition can be completed while maintaining the total relationship, thus making the correction result rewritable. 5. Performing residual construction, singular value decomposition, projection correction, and boundary correction on the initial split sequence can gradually eliminate positional bias and segmentation continuation bias, thereby relatively improving the consistency between the split results and the reference thermal response relationship and the actual path heat transfer relationship. Attached Figure Description

[0015] Figure 1 This is a flowchart outlining the method steps of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Refer to the instruction manual appendix Figure 1 The present invention provides a method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit, comprising: S1. Obtain the temperature sequence, load current sequence, switch position sequence, ambient temperature sequence and cabinet position relationship of each measuring point collected by the edge calculation side of the environmental gas insulated ring main unit. Perform unified time scale alignment on each sequence and divide it into the current segment set corresponding to each measuring point according to the load path. This implementation method is used to perform unified time-scale processing, load path solving, and segmentation on multi-source sequences collected at the edge calculation side of environmentally friendly gas-insulated ring main units, ensuring that subsequent extraction and sequence comparison of the three time points are based on the same time reference and the same path caliber. Its basic principle is as follows: First, the temperature sequences, load current sequences, switch position sequences, and ambient temperature sequences of each measuring point are reconstructed into a unified time-scaled data table recording the same time point according to a unified time axis. Then, based on the cabinet's positional relationship, the conduction position at each time point is solved into a load path position chain, and the times when the load path changes are identified accordingly. Finally, the current segment set is formed by segmenting continuous time periods where the path remains unchanged, thereby eliminating the influence of different sampling rhythms, different conduction states, and different position sequences on the subsequent calculation caliber. This implementation process includes the following steps: Read the original timestamps from the temperature sequence, load current sequence, switch position sequence, and ambient temperature sequence at each measuring point. The temperature sequence at each measuring point must include at least the measuring point number, sampling time, temperature value, and valid marker. The load current sequence must include at least the loop number, sampling time, and current value. The switch position sequence must include at least the switch number, sampling time, and position code value. The ambient temperature sequence must include at least the sampling time and ambient temperature value. Arrange all the original timestamps in chronological order to form a unified time axis. For data with existing original sampled values ​​at the same unified time axis moment, write them directly. For data with missing original sampled values, perform interval insertion. The temperature sequence, load current sequence, and ambient temperature sequence all obtain the inserted value by calculating the time interval ratio between the previous and next original time values ​​at the corresponding time point at the unified time axis moment. The switch position sequence takes the position code value of the previous original time point as the hold value at the corresponding time point at the unified time axis moment. When a sequence does not have a previous original time before the start position of the unified time axis or does not have a subsequent original time after the end position of the unified time axis, the field corresponding to that time is marked as missing and written into the missing flag, and it does not participate in the current round of load path solving; after all times are filled in, each sequence retains only one set of data at each time of the unified time axis, forming a unified time-scaled data table, and this unified time-scaled data table is written into the subsequent load path position chain solving steps for reading; Read the unified time-stamped data table and cabinet position relationship, where the cabinet position relationship includes at least the position number, forward connection position number, backward connection position number, compartment number, connection status mark, and common position mark; for each moment in the unified time-stamped data table, read the position code value corresponding to the switch position sequence, and according to the pre-established mapping table between switch position code value and connection position number, write the connection position in the conducting state into the conducting position set at that moment; then, starting from the preset power supply side starting position number, search item by item along the backward connection position connected to the currently read position in the conducting position set until the load side ending position number at that moment is reached or no new conducting connection position exists, to obtain the load path position chain arranged in order from the power supply side to the load side at that moment; If multiple conductive connection positions exist at the same time, they are searched sequentially in ascending order of position number, and the connection sequence that first reaches the load-side termination position is retained as the unique load path position chain at that time. The connection sequences that are not retained are recorded as bypass records. After solving the load path position chain at all times, the load path position chain at the next time is compared with the load path position chain at the previous time according to the position number sequence. If there is a difference in length, a difference in the same position number, or a difference in the order, the next time is determined as the path switching point, a path switching table is formed, and the path switching table is written into the subsequent steps for reading. Based on the path switching table, the unified time-scaled data table is divided into continuous time periods. A continuous time period is defined as all unified time axis moments between two adjacent path switching points. The first continuous time period is defined as all unified time axis moments from the start time to the first path switching point. The last continuous time period is defined as all unified time axis moments from the last path switching point to the end time. For each continuous time period, the load path position chain corresponding to each moment within that continuous time period is read. The load path position chain at the first moment of that continuous time period is used as the position sorting benchmark. The temperature data of each measuring point within the continuous time period is rearranged according to the order of the corresponding position number of the measuring point in the position sorting benchmark, so that the temperature data of each measuring point within the same continuous time period is written in a unified front-to-back position order. If the position number of a certain measuring point does not fall into the position sorting benchmark within the continuous time period, the measuring point is recorded as an off-path measuring point and removed from the continuous time period. If a measuring point has a missing marker within the continuous time period, only the data corresponding to its valid sampling time is retained and the missing position marker is written synchronously. After the segmentation and rearrangement of all continuous time periods are completed, the current segment set corresponding to each measuring point is formed. The current segment set includes at least the segment number, start time, end time, load path position chain, measuring point number, position order, and segment temperature sequence. The current segment set is then written into the subsequent steps of extracting the starting time of heating, the inflection point time of heating slope, and the starting time of cooling down. Through the above processing, the unified time-stamped data table provides a unified time reference for data with different sampling rhythms, the load path position chain provides a unique connection order for the heat propagation position relationship at each moment, and the current fragment set provides an input basis with an unchanged path and fixed position order for the subsequent three-moment extraction, thereby ensuring that the subsequent order relationship calculation is not affected by the sampling asynchrony and path switching. In practical applications: When an environmentally friendly gas-insulated ring main unit undergoes a switchover between 10:00 and 10:20, the edge computing side first organizes the 2-second sampled temperature data, 1-second sampled current data, event-triggered switch position data, and 5-second sampled ambient temperature data from different measuring points onto the same time axis. Then, based on the cabinet's positional relationship, it solves the two load path position chains before and after the switchover and writes the path change time at 10:08 into the path switching table. Subsequently, it divides the data from 10:00 to 10:08 into the first continuous period and the data from 10:08 onwards into the second continuous period. Then, it rearranges the measuring point temperature data according to the load path position chains corresponding to each continuous period, finally obtaining the current segment set that can be directly read by S2.

[0018] S2. For the current fragment set, extract the heating start time, heating slope inflection point time and cooling drop start time of each measuring point under the same load path, and form the current order table between each measuring point according to the time sequence. This implementation method is used to extract key moments of thermal response from each measuring point under the same load path from the current segment set, and generate a current sequence table between the measuring points accordingly, so that subsequent historical sequence comparison and heat source identification are based on a unified and verifiable time sequence basis. Its processing logic is as follows: first, determine the starting position of the main heating process in the temperature segment of each measuring point; then, determine the turning point of the heating rate within the main heating process; subsequently, determine the position where heating turns into cooling; finally, organize the three key moments into a three-moment sequence and perform position-by-position comparison, thereby rewriting the continuous temperature change process into preceding position relationships, subsequent position relationships, and simultaneous position relationships. This implementation process includes the following: First, the starting time of the temperature rise is extracted for each measurement point in the current segment set. The purpose is to determine the starting position of the continuous entry of heat into the corresponding measurement point, providing a unified starting point for the subsequent extraction of the slope inflection point and the starting time of the cooling fall. In specific processing, the temperature segment corresponding to each measurement point in the current segment set is read. The temperature segment includes at least the measurement point number, segment number, unified time scale sequence, load path marker, and temperature value corresponding to each unified time scale. The temperature difference between two adjacent time points is calculated item by item according to the unified time scale order to form a temperature difference sequence. Each temperature difference is the result of subtracting the temperature value of the previous time point from the temperature value of the next time point. Subsequently, the temperature difference sequence is retrieved sequentially according to a unified time scale. The first moment when the previous temperature difference is less than or equal to zero, the current temperature difference is greater than zero, and all temperature differences from the current temperature difference until the first temperature difference less than or equal to zero appears are all greater than zero is determined as the heating start moment of the corresponding measuring point. The measuring point number, segment number, heating start moment, and corresponding unified time scale index are written into the heating start table for subsequent reading. When a temperature segment enters a continuous heating state at the start position without a previous temperature difference, the previous temperature difference at the start position is recorded as zero and extracted according to the same rules. When there is no moment in a temperature segment that meets the above conditions, or when a missing temperature value makes it impossible to calculate adjacent differences continuously, the measuring point is written into the unusable record and removed from the subsequent three-moment extraction process. Subsequently, based on the heating start table and the corresponding temperature segments, the inflection point of the heating slope is extracted. The purpose is to determine the position where the heating rate changes from increasing to decreasing during the main heating process, providing a stable turning point for the extraction of the subsequent cooling start time. In specific processing, the measurement point records of the heating start time generated in the heating start table are read, and the temperature segments of the corresponding measurement points are retrieved. Starting from the unified time scale position corresponding to the heating start time, the subsequent temperature difference values ​​are read sequentially, and the change in the difference between two adjacent temperature differences is calculated item by item to form a sequence of difference changes. The change in the difference value of each item is the difference between the previous temperature difference and the next temperature difference. Then, the difference change sequence is retrieved sequentially along a unified time scale. The first moment when the previous difference change is greater than zero, the current difference change is less than or equal to zero, and all temperature differences from the next temperature difference corresponding to the current difference change until the first temperature difference less than or equal to zero appears is determined as the inflection point of the heating slope for the corresponding measuring point. The measuring point number, segment number, heating slope inflection point time, and corresponding unified time scale index are written into the slope inflection point table for subsequent reading. If no change in the difference change from positive to negative occurs after the heating start time, or if only monotonic heating occurs after the heating start time without a distinguishable rate transition, the measuring point is written into the unusable record and will no longer participate in the subsequent extraction of the cooling fall start time. Furthermore, based on the slope inflection point table and the corresponding temperature segment, the starting time of the cooling and falling back is extracted. The purpose is to determine the position where heat changes from continuous entry to the start of release, thereby forming a complete main heating-falling time sequence structure. In specific processing, the measurement point records of the heating slope inflection point time that have been generated in the slope inflection point table are read, and the temperature segment of the corresponding measurement point is retrieved. Starting from the first unified time scale position after the heating slope inflection point time, the temperature difference between two adjacent time points is calculated sequentially. Then, the temperature difference sequence is sequentially retrieved along a unified timescale. The first moment when the previous temperature difference is greater than or equal to zero, the current temperature difference is less than zero, and all temperature differences from the current temperature difference until the first greater than or equal to zero temperature difference appears is determined as the cooling drop start time of the corresponding measuring point. The measuring point number, segment number, cooling drop start time, and corresponding unified timescale index are written into the drop start table for subsequent reading. If the temperature value remains unchanged after the inflection point of the heating slope, or only a single negative difference appears and then immediately recovers to a non-negative difference, it indicates that the temperature segment has not formed a continuous drop process, and the measuring point is written into the unusable record. If there are missing temperature values ​​after the inflection point of the heating slope, causing the drop judgment to be interrupted, the current round of drop extraction for the measuring point is stopped, and the corresponding segment is recorded as an incomplete drop segment. After obtaining the heating start table, slope inflection point table, and cooling start table, a three-time sequence construction and current order table generation are performed on the available measuring points. The purpose is to compress the continuous temperature change process into a time-series record in a unified format and to convert the thermal response sequence between each measuring point into a directly comparable positional relationship. In specific processing, the heating start table, slope inflection point table, and cooling start table are matched item by item according to the measuring point number and segment number. Only the measuring point records that simultaneously have the heating start time, the heating slope inflection point time, and the cooling start time are retained. The corresponding three times are combined into a three-time sequence according to a fixed field order and written into the three-time record table. Subsequently, under the same segment number and the same load path, a position-by-position comparison is performed on the three-time sequences of any two measuring points. When a corresponding position of the first measuring point is earlier than the corresponding position of the second measuring point, the corresponding position is recorded as the preceding position. When a corresponding position of the first measuring point is later than the corresponding position of the second measuring point, the corresponding position is recorded as the following position. When the corresponding positions of the two are the same, the corresponding positions are recorded as the simultaneous position. After all three positions have been compared, the first measuring point number, the second measuring point number, the segment number, the starting position relationship, the inflection point position relationship, and the fallback position relationship are written into the current order table for subsequent reference order table comparison. When there are fewer than two measuring points with complete three-time sequences under the same segment, the current order table is not generated. Instead, the segment is recorded as an undeterminable segment and written into the unusable record. Through the above processing, the main heating process of each measuring point under the same load path can be uniformly transcribed into the heating start time, the heating slope inflection point time, and the cooling drop start time, and further generate the current order table between each measuring point, thereby providing a consistent and verifiable input basis for subsequent identification of target measuring points with changed order and heat source measuring points. In practical applications: When the current segment set corresponding to a certain load path includes measurement point A, measurement point B, and measurement point C, the edge computing side first calculates the temperature difference for each of the three temperature segments to obtain their respective heating start time; then, it calculates the change in the difference after each heating start time to obtain their respective heating slope inflection point time; subsequently, it extracts the position where continuous negative difference begins to appear after each heating slope inflection point time to obtain their respective cooling drop start time; finally, it combines the three into three time sequences and compares them position by position to generate the current order table between measurement point A and measurement point B, measurement point A and measurement point C, and measurement point B and measurement point C, for subsequent comparison with the reference order table under the same load path and the same switch position.

[0019] S3. Obtain historical stable segments under the same load path and the same switch position, form a reference sequence table in the same way as S2, compare the current sequence table with the reference sequence table item by item, solve the target measurement point whose sequence has changed and its heat source measurement point, and form a heat transfer mapping table. This implementation method is used to establish a verifiable baseline sequence table from historical stable segments under the same load path and the same switch position conditions. Based on this, it identifies the target measurement points in the current sequence table that have changed their position order and their heat borrowing source measurement points, thereby providing a unique and verifiable heat borrowing mapping relationship for subsequent temperature component decomposition. The processing logic is as follows: First, multiple historical sequence tables formed by historical stable segments are merged item by item to obtain a baseline sequence table and a table to be checked. Then, the current sequence table is compared item by item with the baseline sequence table to screen out the measurement points to be solved that have actually changed position and do not belong to the historical unstable relationship. Subsequently, a candidate mapping set is generated based on the cabinet position relationship and the position order string correspondence. Finally, invalid heat borrowing conditions are deleted through witness verification at path interval points. Select measurement points until each measurement point to be solved retains only the corresponding heat source measurement point; in this embodiment, heat borrowing does not mean that heat is physically transferred between measurement points, but rather that the temperature change currently collected by the target measurement point includes the path heat transfer influence outside the original corresponding position; when the positional relationship of the target measurement point at the start of heating, the inflection point of the heating slope, or the start of the cooling fall deviates from the reference order table, and this deviation can be explained by another measurement point on the same path through positional string comparison and path interval point witness verification, the positional heat influence of the other measurement point is recorded as the heat source of the target measurement point, and the original position temperature component and the borrowed temperature component are separated according to this. This implementation process includes the following: First, the historical stable segments under the same load path and the same switch position are merged in order. The purpose is to extract the continuously valid positional relationships from the historical operation and isolate the non-continuous positional relationships to avoid them interfering with the subsequent heat-based identification. In specific processing, the historical stable segments corresponding to the current segment are retrieved. The historical stable segments must at least simultaneously satisfy the following conditions: the load path position chain remains unchanged, the switch position code value remains unchanged, all participating measurement points can solve the complete three-time sequence, and the order relationship formed by adjacent historical segments does not change. Subsequently, following the same method as S2, historical sequence tables corresponding to each historical stable segment are formed. Using the measurement point pair number as an index, the starting position relationship, inflection point relationship, and fallback position relationship of any two measurement points in each historical sequence table are read item by item. If the three-dimensional relationship of the same measurement point pair is completely consistent in all historical sequence tables, the measurement point pair number and its three-dimensional relationship are written into the baseline sequence table. If the same measurement point pair has two or more three-dimensional relationships in different historical sequence tables, the measurement point pair number and all the three-dimensional relationships that have appeared are written into the check table for subsequent reading when excluding unstable relationships. When the number of historical stable segments is less than two, or when the effective records of a certain measurement point pair in the historical stable segment are insufficient to cover all three-dimensional relationships, the measurement point pair is not written into the baseline sequence table, but is directly written into the check table. Next, a step-by-step comparison is performed between the current order table and the baseline order table. The purpose is to filter out measurement point pairs in the current segment that have indeed undergone positional changes and do not fall within the historical natural fluctuation range, providing input for the generation of measurement points to be solved. Specifically, the current order table, the baseline order table, and the table to be checked are read, and each measurement point pair is matched item by item using its pair number as an index. For any two measurement points, it is first determined whether the measurement point pair has been written into the table to be checked. If it has, it is not considered as an object for the current round of positional change determination. If it has not been written into the table to be checked, the starting position relationship and inflection point position relationship in the current order table are then... The positional relationship of the measurement point is compared with the corresponding three-position relationship in the baseline order table. If any corresponding positional relationship is inconsistent, the measurement point pair is written into the positional relationship table. After the positional relationship table is formed, the set of positional relationship numbers that each measurement point participates in is counted, and the measurement points that participate in the positional relationship table but do not fall into the check-up table are written into the set of measurement points to be solved. The set of measurement points to be solved includes at least the measurement point number, the segment number to which it belongs, the set of positional relationship numbers that participate in, and the load path number where it is located. If the same measurement point does not participate in any positional relationship, or only participates in the measurement point pair that has fallen into the check-up table, it is not written into the set of measurement points to be solved. Subsequently, candidate heat-borrowing test points are generated around the test points to be solved. The purpose is to constrain the candidate range of heat-borrowing sources from both the cabinet position relationship and the positional correspondence relationship, so that the subsequent witness verification has clear boundaries. In specific processing, for each test point in the set of test points to be solved, the test point numbers that are on the same load path as the test point to be solved and located on both sides of it in the cabinet position relationship are read, and recorded as the front candidate test point and the rear candidate test point respectively according to the path position chain order. Then, the current position sequence string of the test point to be solved relative to the other test points is extracted from the current sequence table. The current position sequence string is written into the starting position relationship, inflection point position relationship and fallback position relationship in ascending order of the other test point numbers. Then, the reference position sequence string of each candidate test point relative to the same other test points is extracted from the reference sequence table. The current position sequence string is compared with each reference position sequence string bit by bit. Only when the correspondence between the two is completely consistent in all comparable positions, and the set of position pairs numbering in which the candidate test point participates is completely the same as the set of position pairs numbering in which the test point to be solved participates, and the connection path from the candidate test point to the test point to be solved in the cabinet position relationship does not have a cross-compartment back-passing situation where it goes out of a compartment and then returns to the compartment, is the candidate test point retained as a heat borrowing candidate test point and written into the candidate mapping set. When a candidate test point is missing the necessary position sequence record in the reference sequence table, the candidate test point is deleted from the candidate mapping set of the current round. Finally, a path interval point witness verification is performed on the candidate mapping set. The purpose is to use the intermediate measurement points between the test point to be solved and the heat-borrowing candidate measurement points to verify the path consistency of the candidate relationship, and delete heat-borrowing candidate measurement points that would disrupt the continuity of the path position sequence until a stable heat-borrowing mapping table is formed. In specific processing, according to the candidate mapping set, for each test point to be solved, all path interval points on the path corresponding to each heat-borrowing candidate measurement point in the cabinet position relationship are read and arranged in the order of the path position chain. For each path interval point, its three-dimensional relationship relative to the test point to be solved and the heat-borrowing candidate measurement point in the baseline order table, as well as its three-dimensional relationship relative to the test point to be solved and the heat-borrowing candidate measurement point in the current order table, are read and the corresponding verification is performed bit by bit. If a path interval point is located before the target measurement point and after the candidate heat-borrowing measurement point in the baseline order table, but has the opposite relationship in the current order table, then a positional traversal is recorded. If, after verifying all path interval points, the positional traversal count corresponding to a candidate heat-borrowing measurement point is greater than zero, then that candidate heat-borrowing measurement point is deleted from the candidate mapping set. After one round of deletion, the path interval point witness verification is re-executed based on the updated candidate mapping set until the candidate mapping sets obtained in two consecutive rounds are completely identical. When a target measurement point has only one candidate heat-borrowing measurement point remaining, that candidate heat-borrowing measurement point is... The point is determined as the heat source measurement point; when a certain measurement point still retains multiple heat source candidate measurement points, they are sorted from the smallest to the largest number of path interval points between the measurement point to be solved and each heat source candidate measurement point, and the heat source candidate measurement point with the fewest path interval points is retained; if the number of path interval points is the same, the heat source candidate measurement point with the smaller number of path interval points from the measurement point to be solved is retained; after the screening of all measurement points to be solved is completed, a heat source mapping table is formed, and the measurement point number, the heat source measurement point number, the load path number, and the corresponding candidate mapping are written into the subsequent temperature component splitting process for reading; Through the above processing, the stable positional relationship in the historical stable segment can be solidified into a benchmark order table, the historically unstable positional relationship can be isolated into a check table, and the actual displacement measurement points to be solved can be screened out from the current order table. The heat source measurement points can be uniquely determined by combining the cabinet positional relationship and the path interval point witness relationship, thus providing a clear and verifiable heat transfer mapping basis for the subsequent joint solution of the original position temperature component and the borrowed temperature component. In practical applications: When there are measurement points A, B, C, and D on the load path corresponding to a certain current segment, and measurement point B is always before measurement point C and measurement point C is always before measurement point D in historical stable segments, and the position of measurement point C relative to measurement point D changes in the current order table, the edge computing side first writes the positional relationship between measurement point C and measurement point D into the positional pair table, and then writes measurement point C into the set of measurement points to be solved; then, it retrieves the candidate measurement points located on both sides of measurement point C from the cabinet positional relationship, extracts the current positional string of measurement point C in the current order table, and compares it position by position with the reference positional string of each candidate measurement point in the reference order table to generate a candidate mapping set; then, it uses the path interval points between measurement point C and each heat-borrowing candidate measurement point to perform witness verification, deletes heat-borrowing candidate measurement points that cause positional crossing, and finally retains the unique heat-borrowing source measurement point corresponding to measurement point C, and writes it into the heat-borrowing mapping table for subsequent temperature component splitting and reading.

[0020] S4. Based on the heat borrowing mapping table, on the edge computing side, the current temperature value of each target measuring point is decomposed according to the difference between its temperature and the heat borrowing source measuring point at the start of heating, the inflection point of heating slope, and the start of cooling down, and the original position temperature component and the borrowed temperature component are solved to form a corrected measuring point set. This implementation method uses a heat-borrowing mapping table to split the current temperature value of the target measuring point into an original location temperature component and a borrowed temperature component. While maintaining the corresponding positional relationship in the reference sequence table, the splitting results are written back to the original corresponding position of the target measuring point and the corresponding position of the heat-borrowing source measuring point, forming a corrected measuring point set that can be read for subsequent temperature field generation. The processing logic is as follows: First, the segment boundary positions are determined using three types of time differences between the target measuring point and the heat-borrowing source measuring point, and the temperature segments of both are organized into a segmented matrix under the same time scale. Then, a joint solution system of equations is established based on conservation constraints, in-situ constraints, heat-borrowing constraints, and continuation constraints to solve for the initial results of the original location temperature component sequence and the borrowed temperature component sequence. Subsequently, positional and continuation biases are iteratively resolved through residual construction, singular value decomposition, and projection correction. Afterward, error propagation analysis and local correction are performed on the segment boundary positions. Finally, the corrected temperature components are written back to their corresponding positions, and a corrected measuring point set is formed through total closure verification, positional restoration verification, and path consistency verification. This implementation process includes the following: First, segmented boundary localization and matrix construction are performed on each set of target measuring points and heat source measuring points in the heat transfer mapping table. The purpose is to segment the heat transfer influence interval in the temperature segment from a unified time scale, so that the subsequent joint solution can use a clear segmented structure as input. In specific processing, the correspondence between each target measuring point and heat source measuring point in the heat transfer mapping table is read, and the temperature segment, heating start time, heating slope inflection point time, and cooling fall start time of the two in the same current segment are retrieved. Then, the heating start time difference, heating slope inflection point time difference, and cooling fall start time difference of the target measuring point relative to the heat source measuring point are calculated respectively. The time difference is uniformly taken as the time of the target measuring point minus the time of the heat source measuring point. The three time differences are then converted into boundary index offsets using a unified timescale step size, and the corresponding unified timescale positions are determined as segment boundary positions. The unified timescale step size is the fixed step size used when forming the unified timescale data table, S1. After obtaining the segment boundary positions, the temperature segments of the target measuring point and the heat source measuring point are divided into pre-heating intervals, heating input intervals, slope offset intervals, and fallback intervals using the same boundary index. The temperature values ​​of each interval are written into the target measuring point segment matrix and the source measuring point segment matrix in unified timescale order. The rows of the matrix correspond to the segment number, the columns correspond to the unified timescale index, and the matrix elements correspond to the temperature value at that moment within the segment. Invalid positions are marked with an empty tag. If the boundary index after the conversion of the three time differences exceeds the unified timescale range of the current segment, the excess part is truncated to the beginning and end indexes of the segment before further segmentation. If there are missing temperature values ​​at the corresponding boundary positions of the target measuring point or the heat source measuring point, that moment is recorded as a missing index and the corresponding unknown is removed in the subsequent joint solution. After constructing the piecewise matrix, a joint solution system of equations is established for the original temperature component sequence and the borrowed temperature component sequence. The purpose is to utilize conservation relations, reference positional relations, and piecewise continuation relations to decompose the current temperature value of the target measuring point into two independently rewritable temperature component sequences. Specifically, the target measuring point piecewise matrix, the source measuring point piecewise matrix, and the reference positional table are read. The original temperature component values ​​and borrowed temperature component values ​​at all valid unified timescale positions in the current segment are used as unknowns to construct a joint solution system. The conservation constraints stipulate that the original temperature component value at each valid unified timescale position and the borrowed temperature component value... The sum of the borrowed temperature component values ​​equals the current temperature value of the target measuring point. The in-situ constraint stipulates that the heating start time, the heating slope inflection point time, and the cooling fall start time obtained by recalculating the temperature component sequence from the in-situ position according to the same S2 rule should maintain the in-situ relationship with the adjacent measuring points in the reference order table. The heat borrowing constraint stipulates that the three times obtained by recalculating the borrowed temperature component sequence according to the same S2 rule should maintain the positional relationship corresponding to the heat borrowing source measuring point with the adjacent measuring points in the reference order table. The continuity constraint stipulates that the adjacent differences between two unified time scale positions before and after the boundary of each segment should remain continuous, that is, the first-order difference before and after the boundary should be equal. After all constraints are written, regularized linear solution is performed on the joint solution system. The regularization term is the sum of the squares of the differences between the original and borrowed temperature components at adjacent unified time scale locations. This is used to suppress sudden jumps in the component sequences between adjacent time points. The regularization coefficient is a preset configuration value, which is determined during system deployment based on the fluctuation range of adjacent differences in historical stable segments. After the solution is completed, the initial original temperature component sequence and the initial borrowed temperature component sequence are obtained. They are then combined into an initial split sequence according to the unified time scale order and written into the subsequent residual correction process. If there are still no valid unknowns in the joint solution system after removing missing indices, the target measurement point is recorded as an indivisible measurement point and the current round of splitting is exited. After obtaining the initial split sequence, residual construction, singular value decomposition, and projection correction are performed on the initial split sequence. The purpose is to identify the direction of change that contributes the most to the positional deviation and continuity deviation in the current split result, and to iteratively correct along this direction so that the split result gradually converges to the state where the reference positional relationship and the segmented continuity relationship are simultaneously established. In specific processing, the initial split sequence is read, the initial original position temperature component sequence is written into the original corresponding position of the target measuring point and the three time points are recalculated according to the same rule as S2, and then the initial borrowed temperature component sequence is written into the corresponding position of the heat source measuring point and the three time points are recalculated according to the same rule as S2. Subsequently, based on the recalculation results and the reference order table, the in-situ residual vector, the heat borrowing residual vector, and the continuity residual vector are constructed respectively. The in-situ residual vector is written in the order of the index offset corresponding to the three time points, the heat borrowing residual vector is written in the order of the index offset corresponding to the three time points of the heat source, and the continuity residual vector is written in the order of the difference of the first-order difference before and after the intersection of each segment. The in-situ residual vector, the borrowed residual vector, and the continuation residual vector are then concatenated column-wise to form a joint residual matrix. Singular value decomposition is performed on the joint residual matrix, and the direction vector corresponding to the largest singular value is extracted as the principal deviation direction. The principal deviation direction is then projected onto the unknown space where the initial split sequence is located. After performing the same-direction correction on the in-situ temperature component sequence and the borrowed temperature component sequence, the corrected split sequence is obtained. After obtaining the corrected split sequence, the process of recalculating the three time points, constructing the three types of residual vectors, forming the joint residual matrix, performing singular value decomposition, and projection correction is repeated until the joint residual matrix formed in two consecutive rounds is exactly the same, or the three time points obtained by recalculation are all consistent with the corresponding three time points in the reference order table, thus forming a convergent split sequence. If the joint residual matrix still changes after two consecutive rounds of correction, but the change position always falls near the same segment boundary, the current round of convergent split sequence is retained and enters the boundary correction process, and global projection correction is no longer performed. After forming a convergent split sequence, error propagation analysis and boundary correction are performed on the segment boundary positions. The purpose is to localize the time series deviations that are still concentrated near the segment boundaries, avoiding repeated perturbations of the already converged component sequences in the global solution. Specifically, the original position temperature component sequence and the borrowed temperature component sequence in the convergent split sequence are read, and a single-index perturbation is performed on each segment boundary position in sequence. That is, the segment boundary position is moved forward by one unified time index and backward by one unified time index, respectively. After the movement, the segment matrix is ​​reconstructed, the three time points and the corresponding residual vectors are recalculated, and then the changes in the original residual vector, the borrowed residual vector and the continuation residual vector before and after the perturbation are compared. The boundary positions that can change the sum of the absolute values ​​of the changes in the three residual vectors are recorded as effective boundaries, and the order of influence is formed by the sum of the absolute values ​​of the changes from large to small. After determining the order of influence, one-sided interpolation correction is performed sequentially for each valid boundary position according to this order. The one-sided interpolation correction takes the temperature component values ​​of the boundary position before and after the time step and rewrites the temperature component values ​​of the boundary position linearly at a uniform time interval. If, after the one-sided interpolation correction, the recalculated results of the three time steps of the corresponding boundary position are still inconsistent with the reference order table, local iterative root finding is performed in the local index interval where the boundary position is located, so that the recalculated time index in the local interval is the same as the corresponding time index in the reference order table. The range of the local index interval is all valid uniform time indexes within one segment before and after the boundary position. After all valid boundary corrections are completed, a boundary correction sequence is formed according to the boundary number and the corrected index position for subsequent writing and verification reading. If a boundary position obtains the same index position in two consecutive rounds during the local iterative root finding process, the correction of the boundary position is stopped and the current correction result is retained. After obtaining the boundary correction sequence, the original location temperature component sequence and the borrowed temperature component sequence are written back and checked. The purpose is to stably write the split results into the corresponding spatial locations and ensure that the corrected measurement point set can be directly used for subsequent temperature field prediction through three types of checks: total closure, positional restoration, and path consistency. In specific processing, the original location temperature component sequence and the borrowed temperature component sequence in the converged split sequence are reorganized according to the boundary correction sequence. The original location temperature component sequence is written into the original corresponding location of the target measurement point at each time step, and the borrowed temperature component sequence is written into the corresponding location of the heat source measurement point at each time step. The measurement point number, location number, unified time index, and temperature component value are recorded simultaneously. After the writing is completed, the total closure check is first performed. Specifically, all original location temperature component values ​​and all borrowed temperature component values ​​under the same unified time index are summed and compared with the sum of the current temperature values ​​of all corresponding target measurement points at each time step. Only when they are completely equal at each time step is the total closure check passed. Then, the position sequence restoration check is performed. Specifically, the current sequence table is recalculated according to the same rules as S2 for the original corresponding position of the target measuring point after writing and the corresponding position of the heat source measuring point. The relationship between the current sequence table and the measuring point pairs that have not changed is compared item by item. Only when all are consistent is the position sequence restoration check passed. Next, the path consistency check is performed. Specifically, the transmission direction of the temperature component after writing is checked item by item along the load path position chain corresponding to the cabinet position relationship. If a certain borrowed temperature component is written by crossing multiple position numbers from back to front along the path position chain, it is recorded as a reverse crossing and the path consistency check is not passed. Only the writing results that pass the total closure check, position sequence restoration check and path consistency check at the same time are written into the corrected measuring point set for S5 to read. If the total closure check is not passed, the joint solution of the equation system is returned to be solved again. If the position sequence restoration check or the path consistency check is not passed, the boundary correction process is returned to be corrected again. Through the above processing, the current temperature value of the target measuring point can be split into the original temperature component and the borrowed temperature component, and the write-back is completed under the joint constraints of the reference sequence table, the segmented connection relationship and the cabinet position relationship. Finally, a corrected measuring point set that satisfies the total closure, position sequence restoration and path consistency is formed, which provides direct input for subsequent segmented connection generation along the load path. In practical applications: When the starting time of heating, the inflection point of the heating slope, and the starting time of cooling down of a target measuring point in the current segment are all later than those of its heat-borrowing source measuring point, the edge computing side first converts the three types of time differences into boundary indices on a unified time scale, and segments the temperature segments of the target measuring point and the heat-borrowing source measuring point to form a segmented matrix; then, it establishes a joint solution system of conservation constraints, in-situ constraints, heat-borrowing constraints, and continuity constraints to solve for the initial in-situ temperature component sequence and the initial borrowed temperature component sequence; then, it forms a convergent split sequence through residual construction, singular value decomposition, and projection correction, and performs error propagation calculation, one-sided interpolation correction, and local iterative root finding on the segment boundary positions; finally, it writes the corrected in-situ temperature component sequence into the original corresponding position of the target measuring point, and writes the borrowed temperature component sequence into the corresponding position of the heat-borrowing source measuring point. After total closure check, positional order restoration check, and path consistency check, a corrected measuring point set is formed for direct reading in subsequent temperature field prediction generation.

[0021] S5. Based on the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence and ambient temperature sequence, segmented generation is performed along the adjacent positions corresponding to the load path to form the temperature field prediction result. This implementation method generates a continuous temperature distribution along the load path based on a modified measurement point set, cabinet position relationship, load current sequence, switch position sequence, and ambient temperature sequence. It then writes the connection results of multiple load paths back to the cabinet spatial position to form the temperature field prediction result for the environmentally friendly gas-insulated ring main unit. The processing logic is as follows: First, a path position chain corresponding to each load path is constructed based on the cabinet position relationship and the current switch position status. The temperature values ​​from the modified measurement point set are written into the corresponding positions to form a path temperature table. Next, segmented connection calculations are performed on the empty positions between adjacent written positions in the path position chain to generate the path temperature sequence for each load path. Finally, each path temperature sequence is written back to the corresponding position according to the cabinet position relationship, and the multi-path temperature values ​​at common positions are merged to obtain the final temperature field prediction result. This implementation process includes the following: First, path assembly and position writing are performed on the corrected measurement point set and cabinet position relationship. The purpose is to put the temperature values ​​that have been corrected by heat back into their corresponding spatial positions and to establish a unified sequential basis for subsequent calculations within the path. In specific processing, the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence, and ambient temperature sequence are read. The corrected measurement point set includes at least the measurement point number, position number, unified time index, corrected temperature value, load path number, and whether it is a common position mark. The cabinet position relationship includes at least the position number, forward connection position number, backward connection position number, compartment number, and common position mark. Then, under each unified time index, based on the position code value corresponding to the current switch position sequence and the connection relationship in the cabinet position relationship, the connection positions in the conducting state are searched item by item starting from the starting position on the power supply side, forming the path position chain corresponding to each load path under the unified time index. The position numbers in the same path position chain are written sequentially from the power supply side to the load side. After the path location chain is determined, the corrected temperature values ​​of each measuring point in the corrected measuring point set are written to the corresponding positions in the path location chain according to their position numbers, forming a path temperature table. The path temperature table includes at least a unified time index, load path number, position number, position order, temperature value, and whether a measuring point has been written. If a position does not correspond to any corrected measuring point temperature value under the current unified time index, the position is retained in the path temperature table and a vacancy mark is written. If the same position is written by multiple corrected measuring points under the same unified time index, the first written value is retained in ascending order of measuring point number, and the remaining written values ​​are recorded as duplicate write records for verification when merging common positions later. Subsequently, based on the path temperature table, segmented continuation calculations are performed on the missing positions in the path location chain. The purpose is to utilize the boundary temperatures between adjacent written positions within the path, the path interval relationship, and the current load and environmental conditions to fill in the temperature values ​​of each missing position, forming a continuous path temperature sequence. Specifically, all position records under the same unified time-scale index and the same load path number in the path temperature table are read. Written positions and missing positions are retrieved sequentially according to position order. Any consecutive missing positions between any two adjacent written positions are identified as a continuation interval, and the temperature values ​​of the written positions at the beginning and end of the interval, the position numbers at both ends, and the number of missing positions within the interval are recorded. Then, segmented continuation calculations are performed on each continuation interval. First, the number of position intervals is determined based on the number of missing positions between the two ends. Then, the load current value and ambient temperature value of the corresponding load path under the unified time-scale index are read, and the continuation temperature value of each missing position is calculated according to the preset continuation rules. The continuation rules stipulate: Using the temperature values ​​of the previously written positions at the front and back ends as boundary values, and the ratio of the sequence number of the vacant position in the continuity interval to the number of position intervals as the position allocation coefficient, the basic continuity value is first obtained by linearly expanding the boundary values ​​at both ends according to the position allocation coefficient. Then, based on the path sequence number between the current position and the starting position on the power supply side, the temperature increase correction corresponding to the load current value is added to the basic continuity value item by item. Furthermore, based on the difference between the ambient temperature value and the average temperature of all previously written positions under the current load path, the environmental correction is written to each vacant position item by item. The temperature increase correction corresponding to the load current value and the environmental correction are both determined using a rule table pre-configured during system deployment. After all vacant positions are solved, Each successive temperature value is arranged in the order of its position in the path position chain to form a path temperature sequence, forming a successive temperature field segment, which is then written into the subsequent position write-back process. If a successive interval only has a front-end written position and no back-end written position, the temperature value of the front-end written position is used as the successive starting value, and the successive temperature values ​​adjacent to the front-end position in the current load path are extended forward item by item. If a successive interval only has a back-end written position and no front-end written position, the temperature value of the back-end written position is used as the successive ending value, and the same rules are applied backward item by item. If a load path has no written positions under the current unified time index, a successive temperature field segment is not generated for that load path. Finally, position write-back and common position merging are performed based on the continuous temperature field segments. The purpose is to uniformly project the continuous temperature sequences formed on each load path to the cabinet space location and eliminate duplicate temperature values ​​generated by multiple paths at the common location, forming a unique temperature field prediction result. In specific processing, the continuous temperature field segments corresponding to each load path are read, and the temperature sequence of each path is written back to the spatial location corresponding to the cabinet position relationship according to the position number and position order in the path temperature table, forming a position write-back table. The position write-back table includes at least a unified time index, position number, source load path number, write-back temperature value, and common position mark. After all path temperature sequences have been written back, the position records with the common position mark "yes" in the position write-back table are retrieved, and multiple write-back temperature values ​​from different load paths under the same unified time index and the same common position number are merged at the same position. Specifically: First, compare the number of position intervals between the common location and adjacent written locations in the path corresponding to each write-back temperature value, and retain the write-back temperature value with the smaller position interval. If the number of position intervals is the same, compare the number of adjacent connected segments in the corresponding path for the common location, and retain the write-back temperature value with fewer adjacent connected segments. If the number of adjacent connected segments is still the same, retain the first write-back temperature value in ascending order of source load path number. After completing the merging of common locations, write the unique temperature value corresponding to all location numbers under all unified time indexes into the temperature field prediction result. The temperature field prediction result includes at least the unified time index, location number, predicted temperature value, source load path number, and common location merging flag. If a common location lacks necessary comparison fields during the merging process, directly retain the first write-back temperature value in ascending order of source load path number, and record the common location as a restricted merging location. Through the above processing, the discrete corrected temperature values ​​in the set of corrected measurement points can be supplemented into a continuous path temperature sequence along each load path, and written back to all spatial locations under the constraint of cabinet position relationship, thereby forming a temperature field prediction result with position uniqueness and path consistency. In practical applications: When a load path under a unified time-scale index includes positions P1, P2, P3, P4, and P5, and the corrected measurement point set only writes corrected temperature values ​​at positions P1 and P4, the edge computing side first forms the path position chain corresponding to the load path based on the current switch position status and cabinet position relationship, and then writes the corrected temperature values ​​of positions P1 and P4 into the path temperature table; subsequently, positions P2 and P3 are determined as vacant positions between two written positions, and the successive temperature values ​​of positions P2 and P3 are solved item by item based on the boundary temperature values ​​of positions P1 and P4, the number of position intervals between P1 and P4, the load current value at that moment, and the ambient temperature value, forming a complete path temperature sequence; after multiple load paths have been written back, if position P4 belongs to the common position of two load paths, then the multiple written back temperature values ​​corresponding to position P4 are merged in the same position, and finally the temperature field prediction results of all positions of the environmentally friendly gas-insulated ring main unit under the unified time-scale index are obtained.

[0022] The core idea of ​​this solution is to first organize the temperature, load current, switch position, and ambient temperature of the measuring points collected from the edge computing side of the ring main unit into the same time reference, and then solve the current load path based on the cabinet's positional relationship. The solution then divides the continuous time periods with unchanged paths into comparable temperature segments. Subsequently, it extracts three key moments from each measuring point's temperature segment: the start of heating, the turning point of heating, and the start of cooling, forming a sequential relationship between the measuring points. This sequence is then compared with historical stable positional relationships under the same load path and switch position to identify which measuring points are currently affected by heat transfer from other locations. Based on this, the current temperature of the affected measuring points is broken down into the temperature that should exist at that location and the temperature borrowed from other locations. The decomposed temperatures are then rewritten back to their respective positions. Finally, the gaps between discrete measuring points are filled along the load path to generate a continuous temperature field for the entire ring main unit. The key to this approach is not simply drawing a heat map from the current measuring point, but rather identifying whether there is a shift in the heat attribution of the measuring points, correcting it, and then generating the temperature field. Therefore, the results obtained are closer to the actual heat-generating locations within the cabinet. For example, in a power distribution station, an environmentally friendly gas-insulated ring main unit operates continuously with power. After a load switch, it appears that the temperature at a certain measuring point in the middle is continuously rising. However, this measuring point may not be the actual heat source; it could be heat from a previous connection point being transferred along the current conduction path. This solution first aligns the data from each measuring point and the switch status during this period to determine the specific location chain through which the current passes. Then, it compares the temperature rise sequence of each measuring point with the historical normal sequence. If it is found that the temperature rise sequence of a measuring point is significantly lagging behind a previous measuring point, its current measured temperature is split. One part remains in its original position, while the other part is transferred back to the possible heat source location on the front side. Then, the temperature values ​​are added segment by segment along the path for the locations without measuring points, ultimately generating a temperature field map that more accurately reflects the actual heat propagation. In this way, maintenance personnel see not just where the heat is, but more closely where the heat comes from and along which path it travels to, making it easier to locate abnormal connection points and arrange maintenance.

[0023] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit, characterized in that, include: S1. Obtain the temperature sequence, load current sequence, switch position sequence, ambient temperature sequence and cabinet position relationship of each measuring point collected by the edge calculation side of the environmental gas insulated ring main unit. Perform unified time scale alignment on each sequence and divide it into the current segment set corresponding to each measuring point according to the load path. S2. For the current fragment set, extract the heating start time, heating slope inflection point time and cooling drop start time of each measuring point under the same load path, and form the current order table between each measuring point according to the time sequence. S3. Obtain historical stable segments under the same load path and the same switch position, form a reference order table in the same way as S2, compare the current order table with the reference order table item by item, solve the target measurement point whose order has changed and its heat source measurement point, and form a heat borrowing mapping table; where, the heat borrowing mapping table refers to determining the remaining heat borrowing candidate measurement points corresponding to each measurement point to be solved as heat borrowing source measurement points, and forming a heat borrowing mapping table. S4. Based on the heat transfer mapping table, on the edge computing side, the current temperature value of each target measuring point is decomposed according to the time difference between its temperature and the heat transfer source measuring point at the start of heating, the time difference of the inflection point of the heating slope, and the time difference of the start of cooling down. The original position temperature component and the borrowed temperature component are solved to form a corrected measuring point set. The corrected measuring point set refers to writing the original position temperature component sequence into the original corresponding position of the target measuring point, writing the borrowed temperature component sequence into the corresponding position of the heat transfer source measuring point, and performing total closure check, position order restoration check, and path consistency check on all writing results. The path consistency check is used to verify that the temperature component after writing does not cross the path corresponding to the cabinet position relationship in reverse. The corrected measuring point set is formed by the writing results that pass the total closure check, position order restoration check, and path consistency check. S5. Based on the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence and ambient temperature sequence, segmented generation is performed along the adjacent positions corresponding to the load path to form the temperature field prediction result.

2. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 1, characterized in that: S1 includes: S1-1. Read the time stamps in the temperature sequence, load current sequence, switch position sequence and ambient temperature sequence of each measuring point, directly correspond the data at the same sampling time, and insert the data at different sampling times according to the adjacent time intervals, so that each sequence retains only one set of data at the same time, forming a unified time stamp data table. S1-2. Read the unified time-scaled data table and cabinet position relationship, match the conduction position corresponding to the switch position sequence with the connection position in the cabinet position relationship item by item, solve the load path position chain at each time, and determine the time when the load path position chain of the previous time is different from the load path position chain of the next time as the path switching point, and form a path switching table. S1-3. Based on the path switching table, the unified time-stamped data table is divided into continuous time periods between adjacent path switching points, and the temperature data of the measuring points in each continuous time period are arranged according to the corresponding positions of the measuring points in the load path position chain to form the current segment set corresponding to each measuring point.

3. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 2, characterized in that: S2 includes: S2-1. For the temperature segments corresponding to each measuring point in the current segment set, calculate the temperature difference between two adjacent moments time by time. Determine the first moment that satisfies the condition that the previous difference is not positive, the next difference is continuously positive, and there is a higher temperature value afterward as the starting moment of the temperature rise of the measuring point, and form a temperature rise start table. S2-2. Based on the heating start table and temperature segments, calculate the change in the difference between adjacent differences time by time after the heating start time of each measuring point. The first time that satisfies the condition that the previous difference change is positive, the next difference change is not positive, and the corresponding temperature value is still increasing continuously is determined as the heating slope inflection point of that measuring point, forming a slope inflection point table.

4. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 3, characterized in that: S2 also includes: S2-3. Based on the slope inflection point table and temperature segment, calculate the temperature difference between two adjacent moments after the inflection point of the heating slope corresponding to each measuring point. Determine the first moment when the temperature difference changes from non-negative to negative and the subsequent adjacent temperature difference remains negative as the starting moment of the cooling drop at that measuring point, and form the drop start table. S2-4. Combining the heating start table, the slope inflection point table, and the cooling start table, the heating start time, the heating slope inflection point time, and the cooling start time corresponding to each measuring point are arranged in chronological order to form a three-time sequence. Then, the three-time sequences of any two measuring points are compared bit by bit. The measuring point corresponding to the earlier time is recorded as the previous measuring point, and the measuring point corresponding to the later time is recorded as the next measuring point, thus forming the current order table between the measuring points.

5. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 4, characterized in that: S3 includes: S3-1. Retrieve historical stable segments under the same load path and the same switch position, and form historical sequence tables in the same way as S2. Perform item-by-item merging on the preceding position relationship, following position relationship and simultaneous position relationship of any two measuring points in each historical sequence table. Record the measuring point pairs with consistent relationships into the benchmark sequence table and the measuring point pairs with inconsistent relationships into the check table to form the benchmark sequence table and the check table to be calibrated. S3-2. Read the current order table, the baseline order table, and the check table. Perform a line-by-line comparison between the relationship between any two measurement points in the current order table and their relationship in the baseline order table. Record the measurement point pairs whose relationship has changed into the displacement pair table. Record the measurement points that participate in the displacement pair table but do not fall into the check table into the set of measurement points to be solved, thus forming the displacement pair table and the set of measurement points to be solved.

6. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 5, characterized in that: S3 also includes: S3-3. For each unsolved measurement point in the set of unsolved measurement points, retrieve the candidate measurement points that are on the same load path as the unsolved measurement point and located on both sides of it in the cabinet position relationship. Extract the current position string of the unsolved measurement point relative to the other measurement points in the current order table, and extract the reference position string of each candidate measurement point relative to the same other measurement points in the reference order table. Perform a bit-by-bit correspondence comparison between the current position string and each reference position string. Retain the candidate measurement points with the same number of consistent position items, the same change table coverage relationship, and no cross-compartment back-through in the cabinet position relationship as heat borrowing candidate measurement points to form a candidate mapping set. S3-4. Based on the candidate mapping set, perform witness verification on the path interval points between each unsolved measurement point and its respective heat-borrowing candidate measurement points. Specifically, verify the positional relationship of the path interval points in the baseline order table relative to the unsolved measurement point and the heat-borrowing candidate measurement points, and verify their positional relationship in the current order table relative to the unsolved measurement point and the heat-borrowing candidate measurement points. Delete heat-borrowing candidate measurement points that increase the number of positional traversals. Repeat the witness verification on the deleted candidate mapping set until the candidate mapping set no longer changes. Determine the remaining heat-borrowing candidate measurement points corresponding to each unsolved measurement point as heat-borrowing source measurement points to form a heat-borrowing mapping table.

7. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 6, characterized in that: S4 includes: S4-1. Read the correspondence between each target measuring point and the heat source measuring point in the heat transfer mapping table, extract the temperature segment, the time difference of the start of heating, the time difference of the inflection point of the heating slope, and the time difference of the start of cooling down in the current segment for the target measuring point and the heat source measuring point. Map the three time differences to the segment boundary positions, and perform segmentation and time alignment on the temperature segment accordingly to form the target measuring point segment matrix and the source measuring point segment matrix. S4-2. Based on the segmented matrix of the target measuring point and the segmented matrix of the source measuring point, a joint solution equation set of the original position temperature component sequence and the borrowed temperature component sequence is constructed. The joint solution equation set includes the conservation constraint that the sum of the components is equal to the current temperature value of the target measuring point, the in-situ constraint that maintains the three-time position sequence of the original position according to the reference order table, the heat borrowing constraint that maintains the three-time position sequence of the heat source according to the reference order table, and the continuation constraint that the difference between the segments is continuous. The joint solution equation set is then subjected to regularized linear solution to form the initial split sequence.

8. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 7, characterized in that: S4 also includes: S4-3. For the initial split sequence, construct the in-situ residual vector, the heat-borrowing residual vector, and the continuation residual vector respectively. Combine the in-situ residual vector, the heat-borrowing residual vector, and the continuation residual vector into a joint residual matrix. Perform singular value decomposition on the joint residual matrix, extract the principal deviation direction, and perform projection correction on the initial split sequence along the principal deviation direction. Then, recalculate the three times of the target measuring point and the heat-borrowing source measuring point according to the corrected split sequence. Repeat the residual construction, singular value decomposition, and projection correction until the elements of each column of the joint residual matrix remain unchanged or the three times of the recalculated sequence are completely consistent with the three times of the corresponding reference sequence table, thus forming a convergent split sequence.

9. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 8, characterized in that: S4 also includes: S4-4. Perform error propagation calculations on the original position temperature component sequence and the borrowed temperature component sequence in the convergent split sequence, solve the order of influence of each segment boundary position on the three-time recalculation results, and perform unilateral interpolation correction and local iterative root finding on the segment boundary positions in the order of influence to form a boundary correction sequence. S4-5. Based on the boundary correction sequence, write the original position temperature component sequence into the original corresponding position of the target measuring point, and write the borrowed temperature component sequence into the corresponding position of the heat source measuring point. Perform total closure check, position sequence restoration check and path consistency check on all writing results. The path consistency check is used to verify that the written temperature component does not cross the path corresponding to the cabinet position relationship. The corrected measuring point set is formed by the writing results that have passed the total closure check, position sequence restoration check and path consistency check.

10. The method for predicting and generating the temperature field of an environmentally friendly gas-insulated ring main unit according to claim 9, characterized in that: S5 includes: S5-1. Read the corrected measurement point set, cabinet position relationship, load current sequence, switch position sequence and ambient temperature sequence. Connect adjacent positions on the same load path in the cabinet position relationship to form a path position chain according to the front and back connection order. Write the temperature value of each measurement point in the corrected measurement point set into the corresponding position in the path position chain to form a path temperature table. S5-2. Based on the path temperature table, load current sequence, switch position sequence and ambient temperature sequence, perform segmented connection calculation for any empty position between two adjacent written positions in the path position chain. Specifically, solve the connection temperature value of each empty position segment by segment according to the temperature value of the written positions at both ends, the number of position intervals, the corresponding load current value and the ambient temperature value, and form a path temperature sequence by arranging the connection temperature field segments according to the order of the path position chain. S5-3. Based on the continuous temperature field segments, write the path temperature sequence corresponding to each load path back to the corresponding position according to the cabinet position relationship, and perform same-position merging on the temperature values ​​of adjacent load paths at the common position to form the temperature field prediction result of the environmentally friendly gas-insulated ring main unit.

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