Converter station valve hall transformation structure state evaluation method and device

Abstract

The invention discloses a converter station valve hall transformation structure state evaluation method and device, and the method comprises the steps: obtaining a plurality of groups of feature data before the transformation of a valve hall, each group of characteristic data comprises a plurality of characteristic parameters: steel structure form parameters of each part of the valve hall, steel material strength of the most disadvantageous Q-axis one-truss steel structure, relative differential settlement and inclination measurement values of the valve hall, damage grade, load, anti-seismic performance index, foundation bearing capacity and corresponding state safety index; establishing order-preserving regression constraint conditions among the strength of the steel material, the relative differential settlement and inclination measurement value of the valve hall, the damage grade, the anti-seismic performance index and the state safety degree; establishing an evaluation model by taking the characteristic parameters except the state safety degree as independent variables and the state safety degree as a dependent variable; and in combination with an order-preserving regression constraint condition, solving the multiple regression evaluation model, and determining the state safety degree after the valve hall is transformed. According to the method, the safety degree of the transformed converter station valve hall house structure can be rapidly and effectively evaluated.

Description

Technical Field

[0001] The present application relates to the field of structural status assessment, and more specifically, to a method, device, terminal and computer-readable storage medium for assessing the structural status of a converter station valve hall reconstruction. Background Art

[0002] A converter station refers to a site established in a high-voltage direct current transmission system to complete the conversion of alternating current into direct current or direct current into alternating current and to meet the power system's requirements for safety, stability and power quality.

[0003] The valve hall of the converter station is mostly made of steel structure, and its structural characteristics are large span, high floor height and large load. After years of use, the safety and earthquake resistance of the valve hall structure may no longer meet the relevant requirements of the current specifications, and corresponding measures need to be taken.

[0004] Therefore, it is necessary to upgrade the equipment and reinforce the structure of the converter station valve hall. Considering the structure of the house after equipment renovation and reinforcement, its previous safety appraisal and seismic performance evaluation are no longer applicable to the renovated structure. Therefore, a method for evaluating the structural status of the converter station valve hall renovation was conceived.

[0005] At present, the existing research related to the valve hall structure of the converter station is mostly about the research on the prefabricated construction technology of the valve hall of the converter station, the nonlinear dynamic analysis of the valve hall structure of the converter station, etc. In the field of structural status assessment of the valve hall of the converter station, especially for the status assessment of the building structure after equipment transformation and reinforcement, it is almost blank, and a systematic structural status assessment method has not yet been formed. At present, the mainstream methods for structural status assessment of steel structure buildings include: methods based on design specifications, load test methods, hierarchical analysis methods, and some special inspection methods. However, these assessment methods require a lot of manpower and require a relatively long assessment time. Therefore, it is necessary to provide a method and device for evaluating the structural status of the valve hall of the converter station. Summary of the invention

[0006] In order to solve the deficiencies in the prior art, the present invention provides a method, device, terminal and computer-readable storage medium for evaluating the structural status of a converter station valve hall reconstruction, which can effectively evaluate the safety of the building after reinforcement.

[0007] The present invention adopts the following technical solution.

[0008] According to a first aspect of the present invention, the present invention discloses a method for evaluating the structural state of a converter station valve hall reconstruction. The method comprises the following steps: Obtain multiple sets of characteristic data of the converter station valve hall before reconstruction. Each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement values ​​of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety index; Establishing the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree; Establishing a multiple regression assessment model by taking the characteristic parameters other than the state safety degree among the plurality of characteristic parameters as independent variables and the state safety degree as dependent variable; In combination with the rank-preserving regression constraint condition, solving the multivariate regression assessment model based on the multiple groups of feature data; According to the solved multivariate regression assessment model, the state safety degree of the converter station valve hall after transformation is determined.

[0009] Preferably, obtaining a plurality of sets of characteristic data before the valve hall of the converter station is modified includes: standardizing or normalizing the obtained plurality of sets of characteristic data.

[0010] Preferably, the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree are established, including: Constructing a comprehensive factor according to the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index; A relationship function between the comprehensive factor and the state safety is established as the order-preserving regression constraint condition, so that the state safety increases monotonically with the increase of the comprehensive factor.

[0011] Preferably, establishing the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree also includes: The order-preserving regression constraint is constructed as: H=

[0012]

[0013] >0 Among them, H is the state safety, and are the first and second rank-preserving regression coefficients, , and are the first, second and third error coefficients respectively, S is the comprehensive factor, The steel material strength of the most unfavorable Q-axis steel structure is is the seismic performance index, is the measured value of the relative uneven settlement of the valve hall, is the tilt measurement value, is the damage level, to They are , , and The corresponding rank-preserving regression weight factor.

[0014] Preferably, a multivariate regression assessment model is established with the characteristic parameters other than the state safety degree among the multiple characteristic parameters as independent variables and the state safety degree as dependent variable, including: The multiple regression assessment model was established as:

[0015]

[0016] Among them, H is the state safety, are the steel structure parameters of each component, is the bearing capacity of the foundation, is the fourth error coefficient, w1, w2, w3, w4, w5, w6, w7 and w8 are X , , , , Q , I and f The corresponding multiple regression weight coefficient.

[0017] Preferably, in combination with the rank-preserving regression constraint condition, solving the multiple regression assessment model based on the multiple groups of feature data includes: using the least squares method to solve the multiple regression assessment model.

[0018] Preferably, in combination with the rank-preserving regression constraint condition, solving the multiple regression assessment model based on the multiple groups of feature data also includes: evaluating the solved multiple regression assessment model using a cross-validation method.

[0019] According to a second aspect of the present invention, a device for evaluating the structural state of a converter station valve hall reconstruction using the method described in the first aspect of the present invention is disclosed. The device comprises: The acquisition module is used to obtain multiple sets of characteristic data of the converter station valve hall before the transformation. Each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement value of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety index; A constraint condition establishment module is used to establish the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relative uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree; An assessment model building module, used to establish a multivariate regression assessment model using the characteristic parameters other than the state safety degree among the multiple characteristic parameters as independent variables and the state safety degree as a dependent variable; A solution module, used for solving the multivariate regression assessment model based on the multiple groups of feature data in combination with the rank-preserving regression constraint condition; The assessment module is used to determine the state safety of the converter station valve hall after the transformation based on the solved multivariate regression assessment model.

[0020] According to a third aspect of the present invention, a terminal is disclosed. The terminal includes a processor and a storage medium; and is characterized in that: The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the steps of the method according to the first aspect of the present invention.

[0021] According to a fourth aspect of the present invention, a computer-readable storage medium is disclosed, on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in the first aspect of the present invention.

[0022] The beneficial effect of the present invention is that, compared with the prior art, by constructing rank-preserving regression constraints and establishing a multiple regression assessment model, and solving the multiple regression assessment model in combination with the rank-preserving regression constraints, it helps to limit the complexity of the assessment model to a certain extent and reduce the risk of overfitting. In this way, it can not only improve the accuracy and generalization ability of the assessment, but also improve the computing efficiency and save manpower and material resources, thereby providing strong technical support and decision-making basis for the safety assessment of the valve hall after the transformation of the converter station. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention is a flow chart of a method for evaluating the structural status of a converter station valve hall reconstruction. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0025] It should be noted that although the exemplary embodiments of the present application are shown in the drawings, those skilled in the art should be able to appreciate that the embodiments can be implemented in various forms and variations equivalent to the described exemplary embodiments without being limited by the described exemplary embodiments. In other words, these exemplary embodiments are provided only to enable those skilled in the art to more thoroughly understand the concept of the present application, and to fully convey the scope of the present application to those skilled in the art and the public accordingly.

[0026] It should also be noted that, unless otherwise specified, the technical terms or scientific terms used in this application shall have the meanings and implications commonly understood by those skilled in the art. In the context of this application, when the technical terms or scientific terms used do deviate from the aforementioned commonly understood meanings and implications, this application shall prevail.

[0027] Example 1 This embodiment discloses a method for evaluating the structural status of a converter station valve hall reconstruction. Figure 1 , the method specifically comprises: Step 1, obtain multiple sets of characteristic data of the converter station valve hall before reconstruction, each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement value of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety index.

[0028] In a preferred but non-restrictive embodiment of the present invention, the steel structure parameters of each component of the valve hall can be obtained by using a 3D laser scanner on site in the valve hall to verify the actual construction and structural layout of the valve hall house against the design drawings, and to detect the relative positions of each component, the cross-sectional dimensions of the structural components, the floor height, etc.

[0029] The most unfavorable Q-axis steel structure can be determined according to the methods in the prior art, and the specific methods are not repeated here. In a preferred but non-limiting embodiment of the present invention, the detection method of the steel material strength of the most unfavorable Q-axis steel structure can be a surface rebound method, and the instrument uses a Leeb hardness tester. The steel material strength of the most unfavorable Q-axis steel structure needs to meet the requirements of the reinforcement design.

[0030] In a preferred but non-limiting embodiment of the present invention, a total station can be used to measure the relative uneven settlement and inclination of the valve hall house. The relative uneven settlement must meet the limit requirements of the "Code for Design of Building Foundations", and the inclination measurement must meet the limit requirements of the "Civil Building Reliability Appraisal Standards".

[0031] In a preferred but non-limiting embodiment of the present invention, the damage level can be obtained by detecting whether the valve hall building and structural components are intact or have obvious damage.

[0032] In a preferred but non-limiting embodiment of the present invention, the load value of the valve hall of the house can be obtained based on the on-site test results and the national standard "Load Code for Building Structures" and the national standard "General Code for Engineering Structures", and a load value table can be established based on the survey results.

[0033] In a preferred but non-limiting embodiment of the present invention, the seismic performance of the structure is comprehensively analyzed and evaluated in accordance with the Shanghai Engineering Construction Code "Building Seismic Design Standard" to obtain seismic performance indicators.

[0034] In a preferred but non-limiting embodiment of the present invention, the bearing capacity of the foundation can be further verified based on whether the deformation of the house exceeds the limit, whether there are obvious static load defects, whether the house is damaged, whether the house renovation changes the load, and other conditions.

[0035] In a preferred but non-limiting embodiment of the present invention, the state safety index corresponding to each set of characteristic data can be obtained by expert scoring. In this embodiment, the higher the parameter value of the state safety, the higher the safety of the converter station valve hall, the better the structural stability of the valve hall, and the longer the service life.

[0036] After obtaining multiple sets of feature data, they need to be standardized or normalized to ensure that data of different dimensions can be compared on the same scale.

[0037] Step 2, establishing the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree.

[0038] Specifically, this step may include the following sub-steps: Step 21: construct a comprehensive factor based on the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index.

[0039] Step 22: Establish a relationship function between the comprehensive factor and the state safety as an order-preserving regression constraint condition, so that the state safety increases monotonically with the increase of the comprehensive factor.

[0040] Preferably, the rank-preserving regression constraint can be constructed as: H=

[0041]

[0042] >0 Among them, H is the state safety, and are the first and second rank-preserving regression coefficients, , and are the first, second and third error coefficients respectively, S is the comprehensive factor, The steel material strength of the most unfavorable Q-axis steel structure is is the seismic performance index, is the measured value of the relative uneven settlement of the valve hall, is the tilt measurement value, is the damage level, to They are , , and The corresponding rank-preserving regression weight factor.

[0043] Through the above-mentioned rank-preserving regression constraints, it can be ensured that the health value is greater when the steel material strength is higher, the settlement value and tilt measurement value are lower, the damage level is smaller, and the seismic performance parameter is larger.

[0044] Step 3, establishing a multiple regression assessment model with the characteristic parameters other than the state safety degree among the multiple characteristic parameters as independent variables and the state safety degree as dependent variable.

[0045] Preferably, the multiple regression assessment model can be established as:

[0046]

[0047] Among them, H is the state safety, are the steel structure parameters of each component, is the bearing capacity of the foundation, is the fourth error coefficient, w1, w2, w3, w4, w5, w6, w7 and w8 are X , , , , Q , I and f The corresponding multiple regression weight coefficient.

[0048] Step 4: solving the multivariate regression assessment model based on the multiple groups of feature data in combination with the rank-preserving regression constraint condition.

[0049] Preferably, the least squares method can be used to solve the multiple regression assessment model.

[0050] Further preferably, the solved multiple regression assessment model can be evaluated by cross-validation, so as to ensure the accuracy and generalization ability of the model, and make necessary adjustments and optimizations to the model according to the model evaluation results.

[0051] Step 5: Determine the state safety of the converter station valve hall after transformation based on the solved multivariate regression assessment model.

[0052] In this step, the measured parameters of the converter station valve hall after transformation need to be used as inputs of the multivariate regression assessment model to obtain the corresponding state safety degree.

[0053] In this embodiment, by constructing the order-preserving regression constraint condition and establishing the multiple regression assessment model, and solving the multiple regression assessment model in combination with the order-preserving regression constraint condition, it is helpful to limit the complexity of the assessment model to a certain extent and reduce the risk of overfitting. In this way, it can not only improve the accuracy and generalization ability of the assessment, but also improve the calculation efficiency and save manpower and material resources, thereby providing strong technical support and decision-making basis for the safety assessment of the converter station valve hall after the transformation.

[0054] Example 2 This embodiment provides a converter station valve hall reconstruction structure status assessment device, which includes: an acquisition module, a constraint condition establishment module, an assessment model establishment module, a solution module and an assessment module.

[0055] The acquisition module is used to obtain multiple sets of characteristic data of the converter station valve hall before the reconstruction. Each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement value of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety degree; The constraint condition establishment module is used to establish the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree; The assessment model building module is used to establish a multiple regression assessment model using the characteristic parameters other than the state safety degree among the multiple characteristic parameters as independent variables and the state safety degree as a dependent variable; The solution module is used to solve the multivariate regression assessment model based on the multiple groups of feature data in combination with the order-preserving regression constraint condition; The assessment module is used to determine the state safety of the converter station valve hall after transformation based on the solved multivariate regression assessment model.

[0056] Preferably, the acquisition module is further used to perform standardization or normalization processing on the acquired multiple groups of feature data.

[0057] Preferably, the constraint condition establishment module is also used to establish the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree, including: Constructing a comprehensive factor according to the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index; A relationship function between the comprehensive factor and the state safety is established as the order-preserving regression constraint condition, so that the state safety increases monotonically with the increase of the comprehensive factor.

[0058] Preferably, the constraint condition establishment module is further used to construct the order-preserving regression constraint condition as: H=

[0059]

[0060] >0 Among them, H is the state safety, and are the first and second rank-preserving regression coefficients, , and are the first, second and third error coefficients respectively, S is the comprehensive factor, The steel material strength of the most unfavorable Q-axis steel structure is is the seismic performance index, is the measured value of the relative uneven settlement of the valve hall, is the tilt measurement value, is the damage level, to They are , , and The corresponding rank-preserving regression weight factor.

[0061] Preferably, the assessment model building module is also used to establish the multivariate regression assessment model as:

[0062]

[0063] Among them, H is the state safety, are the steel structure parameters of each component, is the bearing capacity of the foundation, is the fourth error coefficient, w1, w2, w3, w4, w5, w6, w7 and w8 are X , , , , Q , I and f The corresponding multiple regression weight coefficient.

[0064] Preferably, the solution module is further used to solve the multiple regression assessment model using the least squares method.

[0065] Preferably, the solution module is further used to evaluate the solved multivariate regression assessment model using a cross-validation method.

[0066] Example 3 Embodiment 3 of the present invention provides a computer-readable storage medium.

[0067] A computer-readable storage medium stores a program, which, when executed by a processor, implements the steps in the data-driven area line loss quantification method as described in Example 1 of the present invention.

[0068] The detailed steps are the same as those of the converter station valve hall reconstruction structural status assessment method provided in Example 1, and will not be repeated here.

[0069] Example 4 Embodiment 4 of the present invention provides an electronic device.

[0070] An electronic device comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for assessing the structural status of a converter station valve hall reconstruction as described in Example 1 of the present invention are implemented.

[0071] The detailed steps are the same as those of the converter station valve hall reconstruction structural status assessment method provided in Example 1, and will not be repeated here. The beneficial effect of the present invention is that, compared with the prior art, by constructing rank-preserving regression constraints and establishing a multiple regression assessment model, and solving the multiple regression assessment model in combination with the rank-preserving regression constraints, it helps to limit the complexity of the assessment model to a certain extent and reduce the risk of overfitting. In this way, it can not only improve the accuracy and generalization ability of the assessment, but also improve the computing efficiency and save manpower and material resources, thereby providing strong technical support and decision-making basis for the safety assessment of the valve hall after the transformation of the converter station.

[0072] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0073] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0074] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0075] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of the computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit may execute the computer-readable program instructions, thereby implementing various aspects of the present disclosure.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the structural status of a converter station valve hall reconstruction, characterized in that: The following steps are involved: Obtain multiple sets of characteristic data of the converter station valve hall before reconstruction. Each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement values ​​of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety degree; Establishing the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree; Establishing a multiple regression assessment model by taking the characteristic parameters other than the state safety degree among the plurality of characteristic parameters as independent variables and the state safety degree as dependent variable; In combination with the rank-preserving regression constraint condition, solving the multivariate regression assessment model based on the multiple groups of feature data; According to the solved multivariate regression assessment model, the state safety degree of the converter station valve hall after transformation is determined.

2. A method for evaluating the structural status of a converter station valve hall reconstruction according to claim 1, characterized in that: Obtain multiple sets of characteristic data before the converter station valve hall renovation, including: The acquired multiple sets of feature data are standardized or normalized.

3. A method for evaluating the structural status of a converter station valve hall reconstruction according to claim 1, characterized in that: Establishing the order-preserving regression constraints between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree, including: Constructing a comprehensive factor according to the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index; A relationship function between the comprehensive factor and the state safety is established as the order-preserving regression constraint condition, so that the state safety increases monotonically with the increase of the comprehensive factor.

4. A method for evaluating the structural status of a converter station valve hall reconstruction as claimed in claim 3, characterized in that: Establishing the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relatively uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree, also includes: The order-preserving regression constraint is constructed as: H= >0 Among them, H is the state safety, and are the first and second rank-preserving regression coefficients, , and are the first, second and third error coefficients respectively, S is the comprehensive factor, The steel material strength of the most unfavorable Q-axis steel structure is is the seismic performance index, is the measured value of the relative uneven settlement of the valve hall, is the tilt measurement value, is the damage level, to They are , , , and The corresponding rank-preserving regression weight factor.

5. A method for evaluating the structural status of a converter station valve hall reconstruction according to claim 4, characterized in that: Taking the characteristic parameters other than the state safety degree among the plurality of characteristic parameters as independent variables and the state safety degree as dependent variable, a multivariate regression assessment model is established, including: The multiple regression assessment model was established as: Among them, H is the state safety, are the steel structure parameters of each component, is the bearing capacity of the foundation, is the fourth error coefficient, w1, w2, w3, w4, w5, w6, w7 and w8 are X , , , , Q , I and f The corresponding multiple regression weight coefficient.

6. A method for evaluating the structural status of a converter station valve hall reconstruction according to claim 1, characterized in that: In combination with the rank-preserving regression constraint condition, solving the multiple regression assessment model based on the multiple groups of feature data includes: using the least squares method to solve the multiple regression assessment model.

7. A method for evaluating the structural status of a converter station valve hall reconstruction according to claim 6, characterized in that: In combination with the rank-preserving regression constraint condition, solving the multiple regression assessment model based on the multiple groups of feature data also includes: evaluating the solved multiple regression assessment model using a cross-validation method.

8. A converter station valve hall reconstruction structural status assessment device using the method described in any one of claims 1 to 7, characterized in that: include: The acquisition module is used to obtain multiple sets of characteristic data of the converter station valve hall before the transformation. Each set of characteristic data includes multiple characteristic parameters: steel structure form parameters of each component of the valve hall, steel material strength of the most unfavorable Q-axis steel structure, relative uneven settlement and tilt measurement value of the valve hall, damage level, load, seismic performance index, foundation bearing capacity and corresponding state safety degree; A constraint condition establishment module is used to establish the order-preserving regression constraint conditions between the steel material strength of the most unfavorable Q-axis steel structure, the relative uneven settlement of the valve hall and the tilt measurement value, the damage level and the seismic performance index and the state safety degree; An assessment model building module, used to establish a multivariate regression assessment model using the characteristic parameters other than the state safety degree among the multiple characteristic parameters as independent variables and the state safety degree as a dependent variable; A solution module, used for solving the multivariate regression assessment model based on the multiple groups of feature data in combination with the rank-preserving regression constraint condition; The assessment module is used to determine the state safety of the converter station valve hall after the transformation based on the solved multivariate regression assessment model.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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