Power grid parameter identification verification method and device based on element topology and storage medium

The method for identifying and verifying power grid parameters based on component topology solves the problem of inaccurate power grid parameter identification, improves the accuracy and reliability of power grid operation, and provides optimization directions and maintenance guidance.

CN114421465BActive Publication Date: 2026-02-17STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Patent Information

Application Number
CN202210087109.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-25
Publication Date
2026-02-17
Estimated Expiration
2042-01-25

AI Technical Summary

Technical Problem

In existing technologies, the method of monitoring power grid operation based on parameter identification has inaccuracies, especially in some power grids, which affects the accuracy and reliability of power grid operation.

Method used

A power grid parameter identification and verification method based on component topology is adopted. By acquiring the power grid parameter set and topology model, integrity verification is performed. Combined with multi-condition and multi-source measurement data, the assessability and redundancy of components are calculated, and it is determined whether the parameters deviate from the reference threshold, and the verification results are output.

Benefits of technology

It improves the accuracy of parameter identification, provides optimization directions, ensures the quality of power grid parameter identification, narrows the scope of parameter maintenance, and improves the reliability and accuracy of power grid operation.

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Abstract

The present application relates to a kind of power grid parameter identification verification method based on element topology, device and storage medium, comprising: step S1: obtaining the parameter set of the power grid to be identified, wherein the parameter set includes the primary model and topology model of the power grid to be identified;Step S2: the integrity of the parameter set of the power grid to be identified is verified based on pre-configured integrity verification rule, if verification is passed, then execute step S3;Step S3: obtain the measurement set of the power grid to be identified under multiple operating conditions, multiple sources;Step S4: based on the parameter set of the power grid to be identified, and under multiple operating conditions, multiple sources measurement set determines the assessability of each element;Step S5: based on the assessability of each element, get check value, and compared with reference threshold interval, if deviate reference threshold interval, then output check does not pass, otherwise, then output check passes.Compared with prior art, the present application has the advantages of improving parameter identification accuracy.
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Description

Technical Field

[0001] This invention relates to the field of smart grids, and in particular to a method, apparatus, and storage medium for identifying and verifying grid parameters based on component topology. Background Technology

[0002] Society's expectations for the safety and reliability of the power system are gradually increasing. In order to improve the quality of service to society, it is necessary to conduct various analyses, verifications, and optimizations of the power grid. Only on this basis can power production, inspection, and maintenance be arranged.

[0003] To improve the accuracy of power grid simulation calculations and the quality of method verification and optimization, to promptly identify potential power grid operation hazards, and to improve the reliability of power grid operation, parameter identification is usually adopted.

[0004] However, in the existing technology, the method of monitoring the operation of the power grid based on parameter identification is always inaccurate, and this inaccuracy always occurs in certain power grids. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, and storage medium for identifying and verifying power grid parameters based on component topology, thereby increasing the pre-verification of parameter identification, improving the accuracy of parameter identification, and providing optimization directions for improving the accuracy of parameter identification.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for identifying and verifying power grid parameters based on component topology, comprising:

[0008] Step S1: Obtain the parameter set of the power grid to be identified, wherein the parameter set includes the primary model and topology model of the power grid to be identified;

[0009] Step S2: Verify the integrity of the parameter set of the power grid to be identified based on the pre-configured integrity verification rules. If the verification passes, proceed to step S3.

[0010] Step S3: Obtain the measurement set of the power grid to be identified under multiple operating conditions and multiple sources;

[0011] Step S4: Determine the assessability of each component based on the parameter set of the power grid to be identified and the measurement set under multiple operating conditions and multiple sources.

[0012] Step S5: Obtain the verification value based on the evaluability of each component and compare it with the reference threshold range. If it deviates from the reference threshold range, output verification fails; otherwise, output verification passes.

[0013] Step S2 specifically includes:

[0014] Step S21: Filter invalid parameters;

[0015] Step S22: Perform an integrity evaluation on the unit's maximum and minimum active power output, maximum and minimum reactive power output, unit terminal voltage range, voltage level and voltage amplitude matching of the unit terminal voltage with the equipment connected to the local topology, and the unit's node type;

[0016] Step S23: Perform an integrity evaluation on the main transformer parameters. These parameters include experimental parameters and calculated parameters. The experimental parameters include the rated capacity on the high-voltage side, the rated capacity on the medium-voltage side, the rated capacity on the low-voltage side, the rated voltage on the high-voltage side, the rated voltage on the medium-voltage side, the rated voltage on the low-voltage side, and U. k High school, U k High and low, U k Medium and low, △P k High school, △P k High and low, △P k For medium-low grounding, ΔP0, I0, the calculation parameters include high, medium and low side resistance, reactance, zero-sequence resistance and reactance;

[0017] Step S24: Perform an integrity evaluation on the line parameters, which include line length, conductor type, voltage, safe current, fault current, positive sequence resistance, positive sequence reactance, C1 / 2, zero sequence resistance, zero sequence reactance, C0 / 2, same tower marking, summer rated current, summer fault current, winter rated current, and winter fault current.

[0018] Step S25: Perform an integrity evaluation on the ground branch parameters, which include the capacitance and rated voltage of the capacitor reactor;

[0019] Step S26: Perform an integrity evaluation on the active load parameters, which include the maximum load power, maximum output power, and energy storage capacity of the active load.

[0020] The node types in step S21 include Vθ nodes, PQ nodes, and PV nodes.

[0021] Step S3 specifically involves:

[0022] Measurement data of SCADA measurement, PMU measurement, and power accumulation were obtained under different time periods, load levels, power generation plans, and inter-provincial and inter-grid exchange power conditions.

[0023] Step S4 includes:

[0024] Step S41: Select a component;

[0025] Step S42: Perform topology analysis on the selected component to obtain the terminals, circuit breakers, and disconnect switches with topological connections around the selected component, perform topology analysis, generate topology connections, and collect measurement points;

[0026] Step S43: Calculate the operating conditions of the component and measure the source redundancy value R. d-w-m ;

[0027] Step S44: Calculate the complementary redundancy evaluation R of the multi-measurement sources for the component under operating conditions. d-w ;

[0028] Step S45: Based on the results of steps S43 and S44, calculate the total redundancy value R. dmax :

[0029] R dma =Max1 m (R d-w Max1 n ((R d-w-n ))

[0030] Where: Max1 m Max1 is used to obtain the maximum value of the target value from 1 to m measurement sources. n Take the maximum value of the target value for 1 to n working conditions;

[0031] Step S46: Calculate the summative standard deviation of the selected component;

[0032] Step S47: Repeat steps S41 to S46 to complete the traversal of all elements.

[0033] Step S43 includes:

[0034] Step S431: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component;

[0035] Step S432: Based on the evaluation results of impedance, voltage, current, and angle redundancy, determine the operating condition and measurement source redundancy value R of the component. d-w-m :

[0036] When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0.

[0037] The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

[0038] Step S44 includes:

[0039] Step S441: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component;

[0040] Step S442: Based on impedance, voltage, current, and angle, perform redundancy evaluation to determine the operating conditions of the component and evaluate the complementary redundancy of multiple measurement sources. d-w :

[0041] When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0.

[0042] The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

[0043] Step S5 specifically includes:

[0044] Step S51: Count the number of all components C:

[0045] C = C g +C t +C l +C cx

[0046] Where: C g For the number of units, C t C represents the number of transformers. l C represents the number of lines. cx This refers to the number of branch roads in the area;

[0047] Step S52: Calculate the R values ​​for all components. dmax The number of items greater than or equal to 1, C max ;

[0048] Step S53: Calculate the R of all components σ :

[0049] Among them, (σ d '∈σ d >1)

[0050] Where: R σ σ is the total standard deviation of the power grid parameter set. d 'For the set of components with a standard deviation greater than 1, σ d The summative standard deviation for each component;

[0051] Step S54: Calculate the estimability and reliability of the system:

[0052] E=C max / C

[0053] S = R σ / C max

[0054] Where: E represents the estimability of the system, and S represents the reliability of the system;

[0055] Step S55: Determine whether the estimability of the system is greater than the preset first reference threshold and whether the reliability of the system is greater than the preset second reference threshold. If yes, the output verification passes; otherwise, the output verification fails.

[0056] A method for identifying and verifying power grid parameters based on component topology includes a memory, a processor, and a program stored in the memory, characterized in that the processor implements the method described above when executing the program.

[0057] A storage medium having a program stored thereon, which, when executed, implements the method described above.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1) Add pre-verification for parameter identification to improve the accuracy of parameter identification and provide optimization directions for improving the accuracy of parameter identification.

[0060] 2) The summarized technical indicators can measure whether the power grid parameter set has the conditions for application parameter identification, provide qualified quality input for power grid parameter identification, and at the same time, trace the source of areas and components with relatively low indicators, narrow the scope of attention for parameter maintenance, so as to facilitate parameter data collection and maintenance. Attached Figure Description

[0061] Figure 1 This is a flowchart illustrating the main steps of the method of the present invention;

[0062] Figure 2 This is a general flowchart of the method of the present invention;

[0063] Figure 3 Flowchart for coarse detection and evaluation of power grid parameter sets;

[0064] Figure 4 This is a flowchart for evaluating the estimability of power components. Detailed Implementation

[0065] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0066] A method for identifying and verifying power grid parameters based on component topology, such as Figure 1 and Figure 2 As shown, it includes:

[0067] Step S1: Obtain the parameter set of the power grid to be identified. The parameter set includes the primary model and topology model of the power grid to be identified. Specifically, the parameter set of the power grid includes all the primary models and topology models of the large power grid to be identified. Specifically, it is necessary to obtain the unit models of thermal power, hydropower, nuclear power, gas power, wind power, photovoltaic power, and synchronous condensers, as well as the step-up transformers, step-down transformers, power plant transformers, DC lines, AC lines, AC multi-segment lines, AC T-connected lines, various capacitors, reactors and other ground branches, the equivalent unit information of active loads, and all circuit breakers, disconnectors and their connection relationships.

[0068] Step S2: Verify the integrity of the parameter set of the power grid to be identified based on the pre-configured integrity verification rules. If the verification passes, proceed to step S3, i.e. Figure 3 As shown, a coarse evaluation of the power grid parameter set is performed using explicit rules, specifically including:

[0069] Step S21: Filter invalid parameters;

[0070] Step S22: Perform an integrity evaluation on the unit's maximum and minimum active power output, maximum and minimum reactive power output, terminal voltage range, voltage level and voltage amplitude matching of the terminal voltage with the equipment connected to the local topology, and the unit's node type. The node types include Vθ node, PQ node and PV node.

[0071] Step S23: Perform an integrity evaluation of the main transformer parameters. These parameters include experimental and calculated parameters. Experimental parameters include the rated capacity on the high-voltage side, rated capacity on the medium-voltage side, rated capacity on the low-voltage side, rated voltage on the high-voltage side, rated voltage on the medium-voltage side, rated voltage on the low-voltage side, and U... k High school, U k High and low, U k Medium and low, △P k High school, △P k High and low, △P k For medium-low grounding, ΔP0, I0, the calculation parameters include high, medium and low side resistance, reactance, zero-sequence resistance and reactance;

[0072] Step S24: Perform an integrity evaluation of the line parameters, which include line length, conductor type, voltage, safe current, fault current, positive sequence resistance, positive sequence reactance, C1 / 2, zero sequence resistance, zero sequence reactance, C0 / 2, tower marking, summer rated current, summer fault current, winter rated current, and winter fault current.

[0073] Step S25: Perform an integrity evaluation on the ground branch parameters, including the capacitance and rated voltage of the capacitor reactor;

[0074] Step S26: Perform an integrity evaluation on the active load parameters, which include the maximum load power, maximum output power, and energy storage capacity of the active load.

[0075] Step S3: Obtain the measurement set of the power grid to be identified under multiple operating conditions and multiple sources. Specifically, this involves acquiring the measurement set of the large power grid under multiple operating conditions and multiple sources. Multiple operating conditions include different time periods, different load levels, different generation plans, and different inter-provincial and inter-grid power exchanges. Multiple source measurements include SCADA measurements, PMU measurements, and power accumulation, etc.

[0076] Step S4: Based on the parameter set of the power grid to be identified, and the measurement set under multiple operating conditions and multiple sources, determine the assessability of each component, such as... Figure 4 As shown, it includes:

[0077] Step S41: Select a component;

[0078] Step S42: Perform topology analysis on the selected component to obtain the terminals, circuit breakers, and disconnect switches with topological connections around the selected component, perform topology analysis, generate topology connections, and collect measurement points;

[0079] Step S43: Calculate the operating conditions of the component and measure the source redundancy value R. d-w-m ,include:

[0080] Step S431: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component;

[0081] Step S432: Based on the evaluation results of impedance, voltage, current, and angle redundancy, determine the operating condition and measurement source redundancy value R of the component. d-w-m :

[0082] When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0.

[0083] The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

[0084] This involves evaluating the redundancy of the component, its operating conditions, and the measurements from which the measurements originate. Based on Kirchhoff's current law, redundancy is assessed for all impedances, voltages, currents, and angles describing the component. If an unknown quantity can be calculated using known quantities, the redundancy is defined as 0. For each additional known quantity, the redundancy increases by 1; for each missing known quantity, the redundancy decreases by 1. This redundancy is denoted as R for the component. d-w-m R represents redundancy, d represents the selected component, w represents the selected operating condition, and m represents the measurement source. If all measurement sources have been traversed, proceed to S45; otherwise, process the next measurement source.

[0085] Step S44: Calculate the complementary redundancy evaluation R of the multi-measurement sources for the component under operating conditions. d-w Step S44 includes:

[0086] Step S441: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component;

[0087] Step S442: Based on impedance, voltage, current, and angle, perform redundancy evaluation to determine the operating conditions of the component and evaluate the complementary redundancy of multiple measurement sources. d-w :

[0088] When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0.

[0089] The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

[0090] This involves evaluating the redundancy of the component and its operating conditions using complementary measurements from multiple sources. Based on Kirchhoff's current law, redundancy is assessed for all impedances, voltages, currents, and angles describing the component. If an unknown quantity can be calculated using known quantities, the redundancy is defined as 0. For each additional known quantity, the redundancy increases by 1; for each missing known quantity, the redundancy decreases by 1. This redundancy is denoted as R for the component. d-w R represents redundancy, d represents the selected component, and w represents the selected operating condition. If all operating conditions have been traversed, proceed to S46; otherwise, process the next operating condition.

[0091] Step S45: Based on the results of steps S43 and S44, calculate the total redundancy value R. dmax :

[0092] R dma =Max1 m (R d-w Max1 n ((R d-w-n ))

[0093] Where: Max1 m Max1 is used to obtain the maximum value of the target value from 1 to m measurement sources. n Take the maximum value of the target value for 1 to n working conditions;

[0094] Step S46: Calculate the summative standard deviation of the selected component:

[0095]

[0096] Where: n is the number of operating conditions, m is the number of measurements, and σ d The summative standard deviation of redundancy of component d

[0097] Step S47: Repeat steps S41 to S46 to complete the traversal of all elements.

[0098] Step S5: Obtain the verification value based on the evaluability of each component and compare it with the reference threshold range. If it deviates from the reference threshold range, the output verification fails; otherwise, the output verification passes. Specifically, this includes:

[0099] Step S51: Count the number of all components C:

[0100] C = C g +C t +C l +C cx

[0101] Where: C g For the number of units, C t C represents the number of transformers. l C represents the number of lines. cx This refers to the number of branch roads in the area;

[0102] Step S52: Calculate the R values ​​for all components. dmax The number of items greater than or equal to 1, C max ;

[0103] Step S53: Calculate the R of all components σ :

[0104] Among them, (σ d '∈σ d >1)

[0105] Where: R σ σ is the total standard deviation of the power grid parameter set. d 'For the set of components with a standard deviation greater than 1, σ d The summative standard deviation for each component;

[0106] At the same time, for σ d Outputs of components with a value of 1 or less are used to facilitate targeted parameter collection and maintenance, thereby improving the evaluability of the parameter set.

[0107] Step S54: Calculate the estimability and reliability of the system:

[0108] E=C max / C

[0109] S = R σ / C max

[0110] Where: E represents the estimability of the system, and S represents the reliability of the system;

[0111] For a set of power grid parameters, the system estimability index expresses the proportion of components in the system that satisfy conditional redundancy to the total number of components in the power grid parameter set; the larger the value, the stronger the estimability. The system estimation reliability index identifies the reliability of parameter estimation when all components satisfying conditional redundancy are used for parameter estimation; the larger the value, the higher the estimation reliability.

[0112] Step S55: Determine whether the estimability of the system is greater than the preset first reference threshold and whether the reliability of the system is greater than the preset second reference threshold. If yes, the output verification passes; otherwise, the output verification fails.

[0113] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for identifying and verifying power grid parameters based on component topology, characterized in that, include: Step S1: Obtain the parameter set of the power grid to be identified, wherein the parameter set includes the primary model and topology model of the power grid to be identified; Step S2: Verify the integrity of the parameter set of the power grid to be identified based on the pre-configured integrity verification rules. If the verification passes, proceed to step S3. Step S3: Obtain the measurement set of the power grid to be identified under multiple operating conditions and multiple sources; Step S4: Determine the assessability of each component based on the parameter set of the power grid to be identified and the measurement set under multiple operating conditions and multiple sources. Step S5: Obtain the verification value based on the evaluability of each component and compare it with the reference threshold range. If it deviates from the reference threshold range, output verification fails; otherwise, output verification passes. Step S4 includes: Step S41: Select a component; Step S42: Perform topology analysis on the selected component to obtain the terminals, circuit breakers, and disconnect switches with topological connections around the selected component, perform topology analysis, generate topology connections, and collect measurement points; Step S43: Calculate the operating conditions of the component and measure the source redundancy value R. d-w-m ; Step S44: Calculate the complementary redundancy evaluation R of the multi-measurement sources for the component under operating conditions. d-w ; Step S45: Based on the results of steps S43 and S44, calculate the total redundancy value R. dmax : R dma =Max1 m (R d-w ,Max1 n ((R d-w-n )) Where: Max1 m Max1 is used to extract the maximum value of the target value from 1 to m measurement sources. n Take the maximum value of the target value for 1 to n working conditions; Step S46: Calculate the summative standard deviation of the selected component; Step S47: Repeat steps S41 to S46 to complete the traversal of all elements; Step S5 specifically includes: Step S51: Count the number of all components C: C=C g +C t +C l +C cx Where: C g For the number of units, C t C represents the number of transformers. l C represents the number of lines. cx This refers to the number of branch roads in the area; Step S52: Calculate the R values ​​for all components. dmax The number of items greater than or equal to 1, C max ; Step S53: Calculate the R of all components σ : in: The total standard deviation of the power grid parameter set. To summarize the set of components with a standard deviation greater than 1, The summative standard deviation for each component; Step S54: Calculate the estimability and reliability of the system: E=C max / C S=R σ / C max Where: E represents the estimability of the system, and S represents the reliability of the system; Step S55: Determine whether the system's estimability is greater than a preset first reference threshold and whether the system's reliability is greater than a preset second reference threshold. If yes, the output verification passes; otherwise, the output verification fails.

2. The method for identifying and verifying power grid parameters based on component topology according to claim 1, characterized in that, Step S2 specifically includes: Step S21: Filter invalid parameters; Step S22: Perform an integrity evaluation on the unit's maximum and minimum active power output, maximum and minimum reactive power output, unit terminal voltage range, voltage level and voltage amplitude matching of the unit terminal voltage with the equipment connected to the local topology, and the unit's node type; Step S23: Perform an integrity evaluation on the main transformer parameters. These parameters include experimental parameters and calculated parameters. The experimental parameters include the rated capacity on the high-voltage side, the rated capacity on the medium-voltage side, the rated capacity on the low-voltage side, the rated voltage on the high-voltage side, the rated voltage on the medium-voltage side, the rated voltage on the low-voltage side, and U. k High school, U k High and low, U k Medium and low, △P k High school, △P k High and low, △P k For medium-low grounding, ΔP0, I0, the calculation parameters include high, medium and low side resistance, reactance, zero-sequence resistance and reactance; Step S24: Perform an integrity evaluation on the line parameters, which include line length, conductor type, voltage, safe current, fault current, positive sequence resistance, positive sequence reactance, C1 / 2, zero sequence resistance, zero sequence reactance, C0 / 2, same tower marking, summer rated current, summer fault current, winter rated current, and winter fault current. Step S25: Perform an integrity evaluation on the ground branch parameters, which include the capacitance and rated voltage of the capacitor reactor; Step S26: Perform an integrity evaluation on the active load parameters, which include the maximum load power, maximum output power, and energy storage capacity of the active load.

3. The method for identifying and verifying power grid parameters based on component topology according to claim 2, characterized in that, The node types in step S21 include Vθ nodes, PQ nodes, and PV nodes.

4. The method for identifying and verifying power grid parameters based on component topology according to claim 1, characterized in that, Step S3 specifically involves: Measurement data of SCADA measurement, PMU measurement, and power accumulation were obtained under different time periods, load levels, power generation plans, and inter-provincial and inter-grid exchange power conditions.

5. The method for identifying and verifying power grid parameters based on component topology according to claim 1, characterized in that, Step S43 includes: Step S431: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component; Step S432: Based on the evaluation results of impedance, voltage, current, and angle redundancy, determine the operating condition and measurement source redundancy value R of the component. d-w-m : When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0. The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

6. The method for identifying and verifying power grid parameters based on component topology according to claim 1, characterized in that, Step S44 includes: Step S441: Redundancy evaluation of all impedances, voltages, currents, and angles describing the selected component; Step S442: Based on impedance, voltage, current, and angle, perform redundancy evaluation to determine the operating conditions of the component and evaluate the complementary redundancy of multiple measurement sources. d-w : When an unknown quantity can be calculated using known quantities, the redundancy is defined as 0. The redundancy increases by 1 for each additional known quantity and decreases by 1 for each missing known quantity.

7. A power grid parameter identification and verification device based on component topology, comprising a memory, a processor, and a program stored in the memory, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1-6.

8. A storage medium having a program stored thereon, characterized in that, When the program is executed, it implements the method as described in any one of claims 1-7.

Citation Information

Patent Citations

  • Power grid parameter identification method and device and storage medium

    CN115313356A