Steel structure detection data analysis method and system

Abstract

The invention relates to the technical field of electric data processing, and particularly discloses a steel structure detection data analysis method and system, and the method comprises the steps: obtaining a steel structure equipment appearance state data set, carrying out the fault detection and early warning of the appearance state of each steel structure equipment, carrying out the analysis to obtain the historical use feature value of each steel structure equipment with qualified appearance state, and matching to obtain a use evaluation deviation value of the steel structure equipment in each qualified appearance state, analyzing to obtain a real-time use state evaluation value of the steel structure equipment in each qualified appearance state, and carrying out fault detection and early warning on the real-time use state of the steel structure equipment in each qualified appearance state. According to the method, the problem that the current use state of the steel structure equipment is limited to be evaluated is solved, the influence of the appearance state of the steel structure equipment and historical use data of the steel structure equipment on fault detection and early warning of the real-time use state of the steel structure equipment is considered, the equipment can be recognized in time, the service life of the equipment is prolonged, and the working efficiency is improved. And the utilization efficiency of equipment is improved.

Description

[0001] This case is a divisional application of the parent case with application number “202410859146.5” and invention name “Steel Structure Inspection Data Analysis Method and System”. Technical Field

[0002] The present invention relates to the technical field of electrical data processing, and in particular to a steel structure detection data analysis method and system. Background Art

[0003] Steel structure equipment plays an important role in industrial production, and its safety and reliability are crucial to production operations. However, due to long-term use and the influence of environmental factors, steel structure equipment is prone to various faults, such as corrosion, fatigue, deformation, etc. If these faults are not discovered and handled in time, they may cause equipment damage or even accidents, which will have a serious impact on production. Therefore, it is of great practical significance to study the fault detection and early warning methods of steel structure equipment. By monitoring and analyzing the equipment status data, problems with the equipment can be discovered in time, and possible failures can be predicted, so that corresponding maintenance and repair measures can be taken to ensure the safe operation of the equipment and the normal progress of production. Therefore, the research background of the fault detection and early warning methods of steel structure equipment is mainly to improve the safety and reliability of equipment operation, reduce the incidence of production accidents, and improve production efficiency and economic benefits.

[0004] For example, the publication number CN115292967A discloses a steel structure engineering detection and analysis method and system, which relates to the field of engineering detection technology and solves the technical problem that the prior art does not consider the influence of environmental factors on the performance of steel structures during steel structure detection, resulting in poor steel structure detection accuracy. The present invention combines the BIM model of the construction project to determine the early warning area corresponding to the steel structure, and then collects the monitoring data of the early warning area through the data acquisition device, and then obtains the corresponding detection results, and realizes engineering detection of steel structures from the construction project and the environment in which the construction project is located, which can improve the steel structure detection accuracy. The present invention analyzes both the current climate data and the climate early warning data, and sends which one will affect the performance of the steel structure as environmental data to the data analysis module. The data analysis module simulates and determines the early warning area according to the environmental data, and then obtains the detection results, which can improve the efficiency of steel structure detection and reduce the detection cost.

[0005] For example, the announcement number is CN117574102B, and the present invention relates to the field of data processing technology, and specifically to a steel structure fatigue life prediction method based on big data analysis, including: collecting steel structure life data and converting it into a coordinate system; presetting the initial length of each box plot in the horizontal axis direction, obtaining the updated length and initial data of the first box plot, obtaining the first expansion possibility of the updated length of the first box plot, and obtaining the final length and final data of the first box plot; obtaining the final data of multiple box plots; constructing multiple box plots; obtaining suspected abnormal data in each box plot; obtaining the abnormal degree of each suspected abnormal data in each box plot according to the offset degree of each suspected abnormal data in the vertical axis direction and the offset degree of the horizontal axis direction, and then obtaining the abnormal data.

[0006] Nowadays, there are still some shortcomings in the research on steel structure inspection data analysis methods and systems. Specifically, it is limited to the evaluation of the current use status of steel structure equipment, ignoring the fault detection and early warning of steel structure equipment through the appearance status of steel structure equipment, and not considering the impact of the appearance status of steel structure equipment and the historical usage data of steel structure equipment on the fault detection and early warning of the real-time use status of steel structure equipment. The appearance status of steel structure equipment reflects the corrosion, wear, deformation and other conditions of the equipment, which has important reference value for the health status of the equipment. However, the current fault detection and early warning methods often ignore the role of appearance status, resulting in the inability to fully evaluate the health status of the equipment. The historical usage data of steel structure equipment includes the equipment's past operation and maintenance records, which has important reference value for the evaluation of the current use status. The current fault detection and early warning methods often fail to make full use of historical usage data, resulting in inaccurate and incomplete evaluation results. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention provides a steel structure inspection data analysis method and system, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides a steel structure detection data analysis method, comprising the following steps: obtaining a data set of steel structure equipment appearance status, and based on the obtained data set of steel structure equipment appearance status, performing fault detection and early warning on the appearance status of each steel structure equipment, and screening steel structure equipment with qualified appearance status; obtaining a data set of historical use of steel structure equipment with qualified appearance status, and based on the obtained data set of historical use of steel structure equipment with qualified appearance status, analyzing to obtain historical use characteristic values ​​of each steel structure equipment with qualified appearance status, and matching to obtain use evaluation deviation values ​​of each steel structure equipment with qualified appearance status based on the historical use characteristic values ​​of each steel structure equipment with qualified appearance status and in combination with the appearance status evaluation values ​​of each steel structure equipment with qualified appearance status; obtaining a data set of real-time use status of steel structure equipment with qualified appearance status, and based on the obtained data set of real-time use status of steel structure equipment with qualified appearance status, analyzing to obtain real-time use status evaluation values ​​of each steel structure equipment with qualified appearance status, and performing fault detection and early warning on the real-time use status of each steel structure equipment with qualified appearance status based on the real-time use status evaluation values ​​of each steel structure equipment with qualified appearance status and in combination with the use evaluation deviation values ​​of each steel structure equipment with qualified appearance status.

[0009] As a further method, the appearance status data set of steel structure equipment specifically includes the number of dents of each steel structure equipment, the peeling area of ​​the surface coating of each steel structure equipment, and the number of deformed parts of each steel structure equipment.

[0010] As a further method, based on the acquired steel structure equipment appearance status data set, fault detection and early warning are performed on the appearance status of each steel structure equipment, and steel structure equipment with qualified appearance status are screened. The specific analysis process is: based on the acquired steel structure equipment appearance status data set, a comprehensive analysis is performed to obtain an appearance status evaluation value of each steel structure equipment, and the appearance status evaluation value of each steel structure equipment is used as an analysis basis for fault detection and early warning of the appearance status of each steel structure equipment and screening of steel structure equipment with qualified appearance status; the appearance status evaluation value of each steel structure equipment is obtained, and the appearance status evaluation value of each steel structure equipment is compared with the steel structure equipment appearance status reference evaluation value stored in the database; if the steel structure equipment appearance status evaluation value of a certain steel structure equipment is lower than the steel structure equipment appearance status reference evaluation value, an appearance status fault detection and early warning is performed on the steel structure equipment, and the steel structure equipment is marked as unqualified appearance status steel structure equipment; if the steel structure equipment appearance status evaluation value of a certain steel structure equipment is higher than or equal to the steel structure equipment appearance status reference evaluation value, the steel structure equipment is marked as qualified appearance status steel structure equipment.

[0011] As a further method, a historical usage data set of steel structure equipment in qualified appearance status is obtained, and based on the obtained historical usage data set of steel structure equipment in qualified appearance status, the historical usage characteristic values ​​of each steel structure equipment in qualified appearance status are analyzed. The specific analysis process is: the historical usage data set of steel structure equipment in qualified appearance status is obtained, and the historical usage data set of steel structure equipment in qualified appearance status specifically includes the historical service life of each steel structure equipment in qualified appearance status, the historical total effective use time of each steel structure equipment in qualified appearance status, the historical parts replacement frequency of each steel structure equipment in qualified appearance status, and the total number of shutdowns caused by failures of each steel structure equipment in qualified appearance status; based on the obtained historical usage data set of steel structure equipment in qualified appearance status, a comprehensive analysis is performed to obtain the historical usage characteristic values ​​of each steel structure equipment in qualified appearance status, and the historical usage characteristic values ​​of each steel structure equipment in qualified appearance status are used as the analysis basis for matching to obtain the usage evaluation deviation values ​​of each steel structure equipment in qualified appearance status.

[0012] As a further method, based on the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state and combined with the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state, the usage evaluation deviation values ​​of steel structure equipment in each qualified appearance state are obtained. The specific analysis process is: the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state are recorded as the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state; the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state and the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state are obtained; the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state and the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state are used to generate designated labels for the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state and the corresponding historical usage characteristic values ​​of steel structure equipment in each qualified appearance state; the designated label of a steel structure equipment in a qualified appearance state is compared with the usage evaluation deviation values ​​of steel structure equipment in each qualified appearance state corresponding to the designated labels stored in the database to obtain the usage evaluation deviation value of steel structure equipment in the qualified appearance state corresponding to the steel structure equipment in the qualified appearance state.

[0013] As a further method, a data set of real-time usage status of steel structure equipment with qualified appearance status is provided, specifically including the maximum bearing pressure of each steel structure equipment with qualified appearance status, the bearing current of each steel structure equipment with qualified appearance status, and the vibration frequency of each steel structure equipment with qualified appearance status in real-time use.

[0014] As a further method, based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, the real-time usage status evaluation value of each steel structure equipment with qualified appearance status is analyzed. The specific analysis process is: based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, the real-time usage status evaluation value of each steel structure equipment with qualified appearance status is obtained through comprehensive analysis. The real-time usage status evaluation value of each steel structure equipment with qualified appearance status is used as the analysis basis for fault detection and early warning of the real-time usage status of each steel structure equipment with qualified appearance status.

[0015] As a further method, each qualified appearance state steel structure equipment real-time use state evaluation value, the specific analysis process is:

[0016]

[0017] In the formula, δ j is the real-time status evaluation value of the j-th qualified appearance state steel structure equipment, CY j The maximum bearing pressure of the j-th qualified appearance steel structure equipment in real time, HT j The real-time carrying current used by the j-th qualified appearance state steel structure equipment, ZD j The real-time vibration frequency of the jth qualified appearance state steel structure equipment, CY 0 The qualified appearance state steel structure equipment stored in the database uses the bearing limit pressure in real time, HT 0 The qualified appearance state steel structure equipment stored in the database uses the reference bearing current in real time, ZD 0 The reference vibration frequency, μ, is used in real time for the qualified appearance status steel structure equipment stored in the database. 1 The compensation factor for the maximum bearing pressure of the steel structure equipment in real time for the set qualified appearance state, μ 2 The compensation factor for the load-bearing current used by the steel structure equipment in real time for the set qualified appearance state, μ 3 is the compensation factor of the real-time vibration frequency used by the steel structure equipment with qualified appearance status, j is the number of each steel structure equipment with qualified appearance status, j=1, 2, 3, ..., n, n is the total number of steel structure equipment with qualified appearance status, and e is a natural constant.

[0018] As a further method, based on the real-time usage status evaluation value of each qualified appearance state steel structure equipment and combined with the usage evaluation deviation value of each qualified appearance state steel structure equipment, fault detection and early warning are performed on the real-time usage status of each qualified appearance state steel structure equipment. The specific analysis process is: obtaining the real-time usage status evaluation value of each qualified appearance state steel structure equipment and the usage evaluation deviation value of each qualified appearance state steel structure equipment; integrating the real-time usage status evaluation value of each qualified appearance state steel structure equipment and the corresponding usage evaluation deviation value of each qualified appearance state steel structure equipment to obtain the usage status characteristic value of each qualified appearance state steel structure equipment; The usage status characteristic value is compared with the usage status reference characteristic value of the qualified appearance state steel structure equipment stored in the database; if the usage status characteristic value of the qualified appearance state steel structure equipment of a qualified appearance state is higher than or equal to the usage status reference characteristic value of the qualified appearance state steel structure equipment, then the usage status of the qualified appearance state steel structure equipment is good; if the usage status characteristic value of the qualified appearance state steel structure equipment of a qualified appearance state steel structure equipment is lower than the usage status reference characteristic value of the qualified appearance state steel structure equipment, then the usage status of the qualified appearance state steel structure equipment is poor, and a fault detection warning prompt is issued for the real-time usage status of the qualified appearance state steel structure equipment.

[0019] The second aspect of the present invention provides a steel structure detection data analysis system, which is applied to the above-mentioned circuit breaker porcelain bushing defect detection method, including a qualified appearance state steel structure equipment screening module, an evaluation deviation value acquisition module and a fault detection early warning prompt module, wherein: the qualified appearance state steel structure equipment screening module is used to obtain a steel structure equipment appearance state data set, based on the acquired steel structure equipment appearance state data set, fault detection and early warning are performed on the appearance state of each steel structure equipment, and qualified appearance state steel structure equipment are screened; the evaluation deviation value acquisition module is used to obtain a qualified appearance state steel structure equipment historical usage data set, based on the acquired qualified appearance state steel structure equipment historical usage data set, each qualified appearance state is analyzed and obtained The historical usage characteristic values ​​of steel structure equipment are matched based on the historical usage characteristic values ​​of steel structure equipment with each qualified appearance status and in combination with the appearance status evaluation values ​​of steel structure equipment with each qualified appearance status to obtain the usage evaluation deviation values ​​of steel structure equipment with each qualified appearance status; a fault detection and early warning prompt module is used to obtain the real-time usage status data set of steel structure equipment with qualified appearance status, and based on the obtained real-time usage status data set of steel structure equipment with qualified appearance status, the real-time usage status evaluation values ​​of steel structure equipment with each qualified appearance status are analyzed and obtained, and based on the real-time usage status evaluation values ​​of steel structure equipment with each qualified appearance status and in combination with the usage evaluation deviation values ​​of steel structure equipment with each qualified appearance status, fault detection and early warning are performed on the real-time usage status of steel structure equipment with each qualified appearance status.

[0020] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0021] (1) The present invention provides a steel structure inspection data analysis method and system, and screens out steel structure equipment with qualified appearance status according to the appearance status of the steel structure equipment, and performs fault detection and early warning on the steel structure equipment. By screening out steel structure equipment with unqualified appearance status, the interference of equipment with poor appearance status on fault detection can be eliminated, thereby improving the accuracy and reliability of detection. A good appearance status usually means that the overall health of the equipment is good. Screening out steel structure equipment with unqualified appearance status and performing fault detection and early warning can help to discover potential problems with the equipment in advance and avoid the occurrence of failures. It can also timely discover problems with the equipment and take corresponding maintenance measures to ensure the safe operation of the equipment and the normal production, thereby improving the reliability of the equipment.

[0022] (2) The present invention considers the influence of the appearance state of steel structure equipment on the real-time use state of steel structure equipment to perform fault detection and early warning. By analyzing the appearance state data of steel structure equipment, it reflects the corrosion, wear, deformation and other conditions of the equipment. By processing the appearance state data of steel structure equipment and considering the influence of the appearance state on the real-time use state of the equipment, the health status of the equipment can be evaluated more comprehensively, and the accuracy of fault detection in the real-time use state of steel structure equipment can be improved. By considering the influence of the appearance state on the real-time use state of the equipment, the problems of the equipment can be identified in time and corresponding maintenance measures can be taken, thereby extending the life of the equipment and improving the utilization efficiency of the equipment.

[0023] (3) The present invention can establish equipment usage patterns and trends, identify equipment potential failure modes and laws, and achieve data-driven predictive maintenance by considering the impact of historical usage data of steel structure equipment on the real-time usage status of steel structure equipment for fault detection and early warning. Based on the analysis and prediction of historical data, possible equipment failures can be discovered in advance, and corresponding maintenance measures can be taken to avoid the occurrence of failures. By analyzing historical usage data, the maintenance history, maintenance frequency and maintenance effect of the equipment can be understood, and the maintenance strategy can be optimized. Combined with real-time monitoring data, a more reasonable maintenance plan can be formulated based on the actual condition and historical performance of the equipment, thereby improving maintenance efficiency and reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0025] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0026] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] Reference Figure 1 As shown, the first aspect of the present invention provides a steel structure inspection data analysis method, including: obtaining a steel structure equipment appearance status data set, performing fault detection and early warning on the appearance status of each steel structure equipment based on the acquired steel structure equipment appearance status data set, and screening steel structure equipment with qualified appearance status.

[0029] Specifically, the data set of the appearance status of steel structure equipment includes the number of dents of each steel structure equipment, the area of ​​coating peeling on the surface of each steel structure equipment, and the number of deformed parts of each steel structure equipment. The number of dents of each steel structure equipment refers to the number of dents on the surface of the steel structure equipment. The dents are usually caused by external impact, wear or corrosion. The number of dents can reflect the degree of damage and usage of the equipment surface. More dents may mean that there are more serious damage problems on the surface of the equipment. The area of ​​coating peeling on the surface of each steel structure equipment refers to the area of ​​coating peeling on the surface of the steel structure equipment. Coating peeling usually It is the surface coating damage caused by poor coating quality, external environmental corrosion or equipment operation vibration. The size of the coating peeling area can reflect the adhesion and protective effect of the equipment surface coating. A larger coating peeling area may require timely repair or replacement of the coating. The number of deformed parts of each steel structure equipment refers to the number of deformed parts on the surface of the steel structure equipment. The deformation of the equipment surface is usually caused by external impact, distortion or stress concentration. The number of deformed parts can reflect the degree of deformation of the equipment surface and possible structural problems, and timely maintenance or reinforcement is required to ensure the safe operation of the equipment.

[0030] Specifically, based on the acquired data set of appearance status of steel structure equipment, fault detection and early warning are performed on the appearance status of each steel structure equipment, and steel structure equipment with qualified appearance status are screened. The specific analysis process is: based on the acquired data set of appearance status of steel structure equipment, comprehensive analysis is performed to obtain the appearance status evaluation value of each steel structure equipment, and the appearance status evaluation value of each steel structure equipment is used as the analysis basis for fault detection and early warning of the appearance status of each steel structure equipment and screening of steel structure equipment with qualified appearance status; the appearance status evaluation value of each steel structure equipment is obtained, and the appearance status evaluation value of each steel structure equipment is compared with the steel structure equipment appearance status reference evaluation value stored in the database; if the steel structure equipment appearance status evaluation value of a certain steel structure equipment is lower than the steel structure equipment appearance status reference evaluation value, the appearance status fault detection and early warning are performed on the steel structure equipment, and the steel structure equipment is marked as steel structure equipment with unqualified appearance status; if the steel structure equipment appearance status evaluation value of a certain steel structure equipment is higher than or equal to the steel structure equipment appearance status reference evaluation value, the steel structure equipment is marked as steel structure equipment with qualified appearance status.

[0031] It should be explained that the above-mentioned appearance status evaluation values ​​of each steel structure equipment can not only be obtained by further analysis through a machine learning integrated model, using an integrated method such as Graded Boosting Machine or Random Forest to combine the prediction results of multiple basic models to obtain a more accurate appearance status evaluation value of each steel structure equipment, but can also be calculated in the following way. The calculation formula for the appearance status evaluation value of each steel structure equipment is:

[0032]

[0033] In the formula, γ p is the appearance status evaluation value of the pth steel structure equipment, AK p is the number of pits in the pth steel structure equipment, QS p is the peeling area of ​​the coating on the surface of the p-th steel structure equipment, BX p is the number of deformed parts of the pth steel structure equipment, AK 0 Define the number of steel structure equipment pits stored in the database, S 0 The total surface coating area of ​​steel structure equipment stored in the database, BX 0 Define the number of deformation parts of steel structure equipment stored in the database, ε 1 is the compensation factor for the number of pits in the set steel structure equipment, ε 2 is the compensation factor for the peeling area of ​​the surface coating of the steel structure equipment, ε 3 is the compensation factor for the number of deformation parts of the set steel structure equipment, p is the serial number of each steel structure equipment, p=1, 2, 3, ..., q, q is the total number of steel structure equipment.

[0034] It should be explained that the above-mentioned appearance status assessment values ​​of each steel structure equipment are calculated through the number of dents of each steel structure equipment, the area of ​​peeling coating on the surface of each steel structure equipment, and the number of deformed parts of each steel structure equipment. By comprehensively considering factors such as the number of dents of each steel structure equipment, the area of ​​peeling coating on the surface of each steel structure equipment, and the number of deformed parts of each steel structure equipment, the appearance status of the steel structure equipment can be more comprehensively assessed. Factors such as the number of dents, the area of ​​peeling coating on the surface, and the number of deformed parts reflect the damage of different aspects of the equipment. Comprehensive consideration can more accurately understand the overall condition of the equipment. By comprehensively considering multiple factors, the subjectivity and one-sidedness brought about by single indicator evaluation can be reduced, and the objectivity and accuracy of the evaluation can be improved. The comprehensive consideration of different factors can more comprehensively reflect the actual situation of the equipment. Problems such as pits, peeling of surface coatings, and deformation may be precursors to potential equipment failures. By comprehensively considering these factors, problems can be discovered earlier and preventive maintenance can be performed to avoid failures. Comprehensive consideration of multiple factors can help determine the maintenance priority and plan of the equipment. According to the situation of different factors, targeted maintenance strategies can be formulated to extend the service life of the equipment and improve the reliability of the equipment. Comprehensive consideration of multiple factors can provide more data support for management decisions. Managers can formulate reasonable equipment management strategies based on the results of comprehensive consideration, optimize resource allocation, and improve management efficiency. The number of pits in steel structure equipment is determined by Periodic appearance inspection and measurement, record the number of pits on the equipment surface, staff can use visual inspection to identify and record the number of pits, steel structure equipment surface coating peeling area through regular surface inspection and coating evaluation, use coating thickness gauge to measure the peeling area of ​​surface coating, the number of deformed parts of steel structure equipment through structural monitoring, deformation measuring instruments and other means to regularly detect the deformed parts of the equipment, record the number of deformed parts, the number of pits defined for steel structure equipment, the total area of ​​surface coating, the number of deformed parts defined, etc. stored in the database may be entered and updated by professionals based on actual measurement data, the compensation factor for the number of pits in steel structure equipment can be calculated based on the design life of the equipment, the use environment, The compensation factor of the peeling area of ​​the surface coating of steel structure equipment can be set by considering factors such as coating quality, use environment, coating material, etc., and is usually obtained through a comprehensive analysis of historical data, experimental data and professional knowledge to determine the influence of different numbers of pits on the life and performance of the equipment. The compensation factor of the peeling area of ​​the surface coating of steel structure equipment can be set by considering factors such as coating quality, use environment, coating material, etc., and the influence of different peeling areas on the protection performance of the equipment is determined through experimental testing, coating performance evaluation and professional experience. The compensation factor of the number of deformed parts of steel structure equipment can be set according to factors such as equipment structure, material properties, and location of deformed parts. Structural analysis, deformation monitoring, simulation calculation and other methods are used to determine the influence of different numbers of deformed parts on the structural strength and stability of the equipment.

[0035] In a specific embodiment, by comprehensively analyzing the appearance status evaluation values ​​of each steel structure equipment, problems such as pits, coating peeling, deformation, etc. on the equipment surface can be discovered in time, thereby giving early warning of possible failure risks, identifying potential failures and taking maintenance measures in time, thereby avoiding losses and production interruptions caused by equipment failures. By screening each steel structure equipment according to the appearance status evaluation value, qualified appearance status equipment and unqualified appearance status equipment can be distinguished, and maintenance strategies can be formulated in a targeted manner. For qualified appearance status equipment, the maintenance cycle can be extended or the maintenance frequency can be reduced to improve maintenance efficiency; for unqualified appearance status equipment, maintenance and repair can be carried out in time to ensure the safe operation of the equipment. By analyzing and predicting the appearance status data, equipment surface problems can be discovered in time and corresponding measures can be taken to effectively reduce the equipment failure rate, improve equipment reliability and safety, and timely maintain and repair unqualified appearance status equipment, which helps to reduce the possibility of accidents and ensure production safety.

[0036] In a specific embodiment, by providing a steel structure inspection data analysis method and system, steel structure equipment with qualified appearance status is screened out according to the appearance status of the steel structure equipment, and fault detection and early warning are performed on the steel structure equipment. By screening out steel structure equipment with unqualified appearance status, the interference of equipment with poor appearance status on fault detection can be eliminated, thereby improving the accuracy and reliability of detection. A good appearance status usually represents that the overall health of the equipment is good. Screening out steel structure equipment with unqualified appearance status for fault detection and early warning helps to discover potential problems with the equipment in advance and avoid the occurrence of failures. It can also promptly discover problems with the equipment and take corresponding maintenance measures to ensure the safe operation of the equipment and the normal production, thereby improving the reliability of the equipment.

[0037] A historical usage data set of steel structure equipment with qualified appearance status is obtained. Based on the obtained historical usage data set of steel structure equipment with qualified appearance status, historical usage characteristic values ​​of steel structure equipment with each qualified appearance status are analyzed. Based on the historical usage characteristic values ​​of steel structure equipment with each qualified appearance status and combined with the appearance status evaluation values ​​of steel structure equipment with each qualified appearance status, usage evaluation deviation values ​​of steel structure equipment with each qualified appearance status are obtained.

[0038] Furthermore, a historical usage data set of steel structure equipment in qualified appearance status is obtained. Based on the obtained historical usage data set of steel structure equipment in qualified appearance status, the historical usage characteristic values ​​of each steel structure equipment in qualified appearance status are analyzed. The specific analysis process is: the historical usage data set of steel structure equipment in qualified appearance status is obtained. The historical usage data set of steel structure equipment in qualified appearance status specifically includes the historical service life of each steel structure equipment in qualified appearance status, the historical total effective use time of each steel structure equipment in qualified appearance status, the historical parts replacement frequency of each steel structure equipment in qualified appearance status, and the total number of shutdowns caused by failures of each steel structure equipment in qualified appearance status. The historical service life of each steel structure equipment in qualified appearance status indicates the number of years that each steel structure equipment in qualified appearance status has experienced in use. By understanding the historical service life of the equipment, the aging degree of the equipment can be evaluated to help formulate a more reasonable maintenance and update plan. The historical total effective use time of each steel structure equipment in qualified appearance status indicates the total actual operation time of each steel structure equipment in qualified appearance status under normal circumstances. By understanding the total effective use time of the equipment in history, the stability and reliability of the equipment can be evaluated, and a reference basis can be provided for equipment maintenance and replacement. The historical parts replacement frequency of each qualified appearance state steel structure equipment indicates the frequency of parts replacement for each qualified appearance state steel structure equipment in historical operation. By understanding the historical parts replacement frequency of the equipment, the durability and maintenance cost of the equipment can be evaluated, and maintenance plans and parts inventory management can be optimized. The total number of shutdowns caused by failures in the history of each qualified appearance state steel structure equipment indicates the total number of shutdowns caused by failures in the history of each qualified appearance state steel structure equipment in historical operation. By understanding the historical number of shutdowns of the equipment, the reliability and failure rate of the equipment can be evaluated, and equipment maintenance strategies can be improved and production interruption risks can be reduced. Based on the acquired historical use data set of qualified appearance state steel structure equipment, a comprehensive analysis is performed to obtain the historical use characteristic values ​​of each qualified appearance state steel structure equipment, and the historical use characteristic values ​​of each qualified appearance state steel structure equipment are used as the analysis basis for matching to obtain the use evaluation deviation values ​​of each qualified appearance state steel structure equipment.

[0039] Specifically, based on the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state and combined with the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state, the usage evaluation deviation values ​​of steel structure equipment in each qualified appearance state are obtained. The specific analysis process is: recording the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state as the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state; obtaining the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state and the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state; generating designated labels for the appearance state evaluation values ​​of steel structure equipment in each qualified appearance state and the corresponding historical usage characteristic values ​​of steel structure equipment in each qualified appearance state; comparing the designated labels of steel structure equipment in a qualified appearance state with the usage evaluation deviation values ​​of steel structure equipment in each qualified appearance state corresponding to the designated labels stored in the database, to obtain the usage evaluation deviation values ​​of steel structure equipment in each qualified appearance state corresponding to the steel structure equipment in this qualified appearance state.

[0040] It should be explained that the above-mentioned historical usage characteristic values ​​of steel structure equipment in each qualified appearance state can not only be obtained by further analysis through the machine learning integrated model, using random forest or LightGBM to combine the prediction results of multiple basic models to obtain more accurate historical usage characteristic values ​​of steel structure equipment in each qualified appearance state, but also can be calculated in the following way. The calculation formula for the historical usage characteristic values ​​of steel structure equipment in each qualified appearance state is:

[0041]

[0042] In the formula, is the historical usage characteristic value of the jth qualified appearance state steel structure equipment, SN j YX is the historical service life of the jth qualified appearance steel structure equipment, j is the total effective use time of the jth qualified appearance state steel structure equipment, GP j is the historical parts replacement frequency of the jth qualified appearance state steel structure equipment, TG j is the total number of shutdowns caused by failures in the history of the jth qualified appearance steel structure equipment, SN 0 Define the service life of qualified appearance status steel structure equipment stored in the database, ZT j is the total usage time of the jth qualified appearance state steel structure equipment, GP 0 Define the replacement frequency for steel structure equipment parts with qualified appearance status stored in the database, TG 0 is the total number of shutdown permits due to failures of qualified appearance steel structure equipment stored in the database, σ 1 is the compensation factor for the historical service life of the steel structure equipment with qualified appearance status, σ 2The compensation factor for the total effective use time of the steel structure equipment in the qualified appearance state, σ 3 is the compensation factor for the replacement frequency of historical parts of steel structure equipment in the set qualified appearance state, σ 4 is the compensation factor for the total number of shutdowns caused by failures in the history of the steel structure equipment with qualified appearance. j is the serial number of each steel structure equipment with qualified appearance. j=1, 2, 3, ..., n, where n is the total number of steel structure equipment with qualified appearance.

[0043] It should be explained that the above-mentioned historical use characteristic values ​​of steel structure equipment in qualified appearance status are calculated through the historical service life of steel structure equipment in qualified appearance status, the total effective use time of steel structure equipment in qualified appearance status, the historical parts replacement frequency of steel structure equipment in qualified appearance status, and the total number of shutdowns caused by failures of steel structure equipment in qualified appearance status. Taking into account the historical service life of steel structure equipment in qualified appearance status, the total effective use time of steel structure equipment in qualified appearance status, the historical parts replacement frequency of steel structure equipment in qualified appearance status, and the total number of shutdowns caused by failures of steel structure equipment in qualified appearance status, etc., a more comprehensive assessment can be made of the historical use characteristic values ​​of steel structure equipment in qualified appearance status. The overall status and health of the steel structure equipment, rather than just relying on a single indicator, can help managers more accurately understand the historical use of the equipment and potential problems. Combined with factors such as historical service life and total effective use time, it can better predict the life of steel structure equipment and the remaining reliable operation time, and help formulate reasonable maintenance plans and update decisions. By analyzing the historical parts replacement frequency and the total number of shutdowns caused by failures, the weak links and common failure modes of the equipment can be identified, thereby optimizing maintenance strategies, reducing downtime and maintenance costs. Comprehensive consideration of multiple factors can help managers better understand the operating status of the equipment and take timely measures to prevent failures and improve equipment reliability. , ensure the continuous and efficient operation of the equipment. By comprehensively considering multiple factors, a more accurate maintenance plan can be formulated to avoid excessive maintenance or unnecessary replacement, thereby reducing maintenance costs and improving the overall benefits of the equipment. The historical service life, historical total effective use time and total equipment use time are recorded and tracked through the equipment management system or maintenance record center. The frequency of parts replacement can be obtained through maintenance records, equipment maintenance manuals or actual operation records of the maintenance team. The total number of shutdowns due to failures can be obtained through equipment shutdown reports, maintenance records or equipment operation logs. The qualified appearance status of steel structure equipment stored in the database defines the service life, qualified appearance status of steel structure equipment The frequency of parts replacement and the total number of permitted shutdowns due to failures of steel structure equipment in acceptable appearance condition are set according to the equipment type, manufacturer's recommendations, industry standards or internal company standards. The compensation factors for the historical service life of steel structure equipment in acceptable appearance condition, the compensation factors for the historical total effective use time of steel structure equipment in acceptable appearance condition, the compensation factors for the historical parts replacement frequency of steel structure equipment in acceptable appearance condition, and the compensation factors for the total number of historical shutdowns due to failures of steel structure equipment in acceptable appearance condition are set by professional engineers or equipment management teams based on actual conditions and experience. These factors can be used to adjust historical data to more accurately reflect the actual situation and performance of the equipment.

[0044] It needs to be explained that each of the above-mentioned devices has unique usage characteristics and appearance status evaluation values. The evaluation deviation values ​​obtained by matching can more accurately evaluate the usage status of the equipment and carry out targeted maintenance and management. By comparing the evaluation deviation values, it can provide decision-making basis for equipment managers, help them formulate more reasonable maintenance plans and update strategies, and timely discover equipment usage deviations, which is helpful to take corresponding measures to improve the reliability and stability of the equipment and reduce the risk of failure. The use of evaluation deviation values ​​can more comprehensively evaluate the usage of the equipment, including the combined impact of the appearance status and historical usage characteristics, which helps to discover potential problems with the equipment.

[0045] In a specific embodiment, by considering the impact of the appearance state of steel structure equipment on the real-time use status of the steel structure equipment for fault detection and early warning, by analyzing the appearance state data of the steel structure equipment to reflect the corrosion, wear, deformation, etc. of the equipment, by processing the appearance state data of the steel structure equipment and considering the impact of the appearance state on the real-time use status of the equipment, the health status of the equipment can be more comprehensively evaluated, and the accuracy of fault detection in the real-time use status of the steel structure equipment can be improved. By considering the impact of the appearance state on the real-time use status of the equipment, equipment problems can be identified in a timely manner and corresponding maintenance measures can be taken to extend the life of the equipment and improve the utilization efficiency of the equipment.

[0046] In a specific embodiment, by considering the impact of historical usage data of steel structure equipment on the real-time usage status of steel structure equipment for fault detection and early warning, it is possible to establish equipment usage patterns and trends, identify potential failure modes and patterns of equipment, and thus achieve data-driven predictive maintenance. Based on the analysis and prediction of historical data, possible equipment failures can be discovered in advance, and corresponding maintenance measures can be taken to avoid the occurrence of failures. By analyzing historical usage data, the maintenance history, maintenance frequency and maintenance effect of the equipment can be understood, and the maintenance strategy can be optimized. Combined with real-time monitoring data, a more reasonable maintenance plan can be formulated based on the actual condition and historical performance of the equipment, thereby improving maintenance efficiency and reducing maintenance costs.

[0047] A data set of real-time usage status of steel structure equipment with qualified appearance status is obtained. Based on the obtained data set of real-time usage status of steel structure equipment with qualified appearance status, an evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status is obtained. Based on the evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status and combined with the evaluation deviation value of the usage of each steel structure equipment with qualified appearance status, fault detection and early warning are performed on the real-time usage status of each steel structure equipment with qualified appearance status.

[0048] Specifically, the real-time use status data set of steel structure equipment with qualified appearance status includes the real-time maximum bearing pressure of each steel structure equipment with qualified appearance status, the real-time bearing current of each steel structure equipment with qualified appearance status, and the real-time vibration frequency of each steel structure equipment with qualified appearance status. The real-time maximum bearing pressure of each steel structure equipment with qualified appearance status refers to the maximum pressure value currently borne by the equipment, that is, the maximum pressure that the equipment can withstand during operation. This value can help monitor whether the equipment exceeds its designed bearing range during use and whether there are potential safety risks. The real-time bearing current of each steel structure equipment with qualified appearance status refers to the current bearing current of the equipment, that is, the real-time bearing current of the equipment. The bearing current has an important impact on the operating stability and performance of the equipment. Real-time excessive or low current may cause equipment failure or performance degradation. The real-time vibration frequency of each steel structure equipment with qualified appearance status refers to the vibration frequency generated by the equipment during operation, that is, the frequency of equipment vibration. The vibration frequency can reflect the operating status and stability of the equipment. Abnormal vibration frequency may indicate that the equipment is faulty or unstable.

[0049] Furthermore, as a further method, based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, the real-time usage status evaluation value of each steel structure equipment with qualified appearance status is analyzed. The specific analysis process is: based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, a comprehensive analysis is performed to obtain the real-time usage status evaluation value of each steel structure equipment with qualified appearance status. The real-time usage status evaluation value of each steel structure equipment with qualified appearance status is used as the analysis basis for fault detection and early warning of the real-time usage status of each steel structure equipment with qualified appearance status.

[0050] It should be explained that the above-mentioned real-time use status evaluation values ​​of each qualified appearance state steel structure equipment can not only be obtained by further analysis through the machine learning integration model, but also by combining the prediction results of multiple basic models using the K-means clustering model to obtain more accurate real-time use status evaluation values ​​of each qualified appearance state steel structure equipment. The calculation formula for the real-time use status evaluation value of each qualified appearance state steel structure equipment is:

[0051]

[0052] In the formula, δ j is the real-time status evaluation value of the j-th qualified appearance state steel structure equipment, CY j The maximum bearing pressure of the j-th qualified appearance steel structure equipment in real time, HT j The real-time carrying current used by the j-th qualified appearance state steel structure equipment, ZD j The real-time vibration frequency of the jth qualified appearance state steel structure equipment, CY0 The qualified appearance state steel structure equipment stored in the database uses the bearing limit pressure in real time, HT 0 The qualified appearance state steel structure equipment stored in the database uses the reference bearing current in real time, ZD 0 The reference vibration frequency, μ, is used in real time for the qualified appearance status steel structure equipment stored in the database. 1 The compensation factor for the maximum bearing pressure of the steel structure equipment in real time for the set qualified appearance state, μ 2 The compensation factor for the load-bearing current used by the steel structure equipment in real time for the set qualified appearance state, μ 3 is the compensation factor of the real-time vibration frequency used by the steel structure equipment with qualified appearance status, j is the number of each steel structure equipment with qualified appearance status, j=1, 2, 3, ..., n, n is the total number of steel structure equipment with qualified appearance status, and e is a natural constant.

[0053] In a specific embodiment, the real-time usage status evaluation value of each qualified appearance state steel structure equipment is calculated by using the real-time maximum bearing pressure of each qualified appearance state steel structure equipment, the real-time bearing current of each qualified appearance state steel structure equipment, and the real-time vibration frequency of each qualified appearance state steel structure equipment. Taking into account factors such as the real-time maximum bearing pressure of each qualified appearance state steel structure equipment, the real-time bearing current of each qualified appearance state steel structure equipment, and the real-time vibration frequency of each qualified appearance state steel structure equipment, the real-time usage status of the equipment can be more comprehensively evaluated. Not only the equipment bearing capacity, environmental impact and vibration conditions are considered, but also the comprehensive impact of these factors on the equipment performance can be comprehensively analyzed. Comprehensive consideration of multiple factors can provide a more accurate equipment status evaluation value, which is helpful to promptly discover problems or potential risks in the equipment, so that corresponding measures can be taken to improve the reliability and stability of the equipment. By comprehensively evaluating various factors, more comprehensive data support can be provided to equipment managers to help them make more reasonable maintenance and management decisions, which helps to improve equipment maintenance efficiency and reduce maintenance costs. Comprehensive consideration of multiple factors Factors can help achieve preventive maintenance, timely discover equipment problems and take measures to reduce equipment failures and downtime, and improve equipment availability and production efficiency. The maximum bearing pressure of qualified appearance status steel structure equipment in real time is determined by the equipment manufacturer according to engineering design and relevant standards and specifications. The bearing current of qualified appearance status steel structure equipment in real time is obtained through on-site monitoring, current monitoring instruments and other means. The vibration frequency of qualified appearance status steel structure equipment in real time is obtained through real-time monitoring of the equipment's own vibration sensor, vibration monitoring instrument or vibration testing equipment. The bearing limit pressure, reference bearing current and reference vibration frequency of qualified appearance status steel structure equipment in real time stored in the database are stored according to the specifications and standards provided by the equipment manufacturer and relevant engineering design requirements, and are used as reference values ​​for the equipment's operating status. The compensation factors of the maximum bearing pressure, bearing current and vibration frequency of qualified appearance status steel structure equipment in real time are set after comprehensive consideration of the actual equipment operation, long-term monitoring data and experience accumulation, and are used to correct the reference value to adapt to the influence of the actual operating environment.

[0054] Specifically, based on the real-time use status evaluation value of each qualified appearance state steel structure equipment and combined with the use evaluation deviation value of each qualified appearance state steel structure equipment, the real-time use status of each qualified appearance state steel structure equipment is subjected to fault detection and early warning. The specific analysis process is as follows: obtaining the real-time use status evaluation value of each qualified appearance state steel structure equipment and the use evaluation deviation value of each qualified appearance state steel structure equipment; converting the real-time use status evaluation value δ j And the corresponding evaluation deviation value A of each qualified appearance state steel structure equipment jIntegrate the data to obtain the characteristic value β of the use status of each qualified appearance state steel structure equipment j , the process of data integration is β j =δ j +A j , compare the usage status characteristic value of each qualified appearance state steel structure equipment with the usage status reference characteristic value of the qualified appearance state steel structure equipment stored in the database; if the usage status characteristic value of the qualified appearance state steel structure equipment of a qualified appearance state steel structure equipment is higher than or equal to the usage status reference characteristic value of the qualified appearance state steel structure equipment, then the usage status of the qualified appearance state steel structure equipment is good; if the usage status characteristic value of the qualified appearance state steel structure equipment of a qualified appearance state steel structure equipment is lower than the usage status reference characteristic value of the qualified appearance state steel structure equipment, then the usage status of the qualified appearance state steel structure equipment is bad, and a fault detection warning prompt is issued for the real-time usage status of the qualified appearance state steel structure equipment.

[0055] In a specific embodiment, by obtaining the real-time usage status evaluation value and deviation value of each qualified appearance steel structure equipment, the usage status and performance of the equipment can be monitored in real time, potential problems can be discovered in time, and the real-time usage status evaluation value and deviation value are integrated to obtain the characteristic value of the equipment usage status, which helps to describe the operating status of the equipment more comprehensively and accurately. By comparing the equipment usage status characteristic value with the reference characteristic value, it is possible to quickly determine whether the operating status of the equipment is normal. When the equipment usage status characteristic value is lower than the reference characteristic value, a fault detection warning prompt can be issued to remind relevant personnel to take timely measures. Timely fault detection warnings can help prevent the occurrence of equipment failures, reduce production interruptions and maintenance costs, and improve equipment reliability and stability. Through real-time monitoring and analysis of the equipment usage status, a large amount of data can be accumulated for subsequent data analysis and optimization, helping to improve the performance and efficiency of the equipment.

[0056] Reference Figure 2 As shown, the second aspect of the present invention provides a steel structure detection data analysis system, which is applied to the above-mentioned circuit breaker porcelain bushing defect detection method, including a qualified appearance state steel structure equipment screening module, an evaluation deviation value acquisition module and a fault detection early warning prompt module.

[0057] The qualified appearance status steel structure equipment screening module is used to obtain the steel structure equipment appearance status data set, based on the obtained steel structure equipment appearance status data set, perform fault detection and early warning on the appearance status of each steel structure equipment, and screen the qualified appearance status steel structure equipment.

[0058] An evaluation deviation value acquisition module is used to obtain a historical usage data set of steel structure equipment in qualified appearance status. Based on the acquired historical usage data set of steel structure equipment in qualified appearance status, historical usage characteristic values ​​of steel structure equipment in each qualified appearance status are analyzed. Based on the historical usage characteristic values ​​of steel structure equipment in each qualified appearance status and combined with the appearance status evaluation values ​​of steel structure equipment in each qualified appearance status, usage evaluation deviation values ​​of steel structure equipment in each qualified appearance status are obtained.

[0059] A fault detection and early warning prompt module is used to obtain a data set of real-time usage status of steel structure equipment with qualified appearance status. Based on the obtained data set of real-time usage status of steel structure equipment with qualified appearance status, an evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status is analyzed. Based on the evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status and combined with the evaluation deviation value of the usage of each steel structure equipment with qualified appearance status, fault detection and early warning are performed on the real-time usage status of each steel structure equipment with qualified appearance status.

[0060] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A steel structure inspection data analysis method, characterized in that: The following steps are involved: Acquire a data set of appearance status of steel structure equipment, perform fault detection and early warning on the appearance status of each steel structure equipment based on the acquired data set of appearance status of steel structure equipment, and screen out steel structure equipment with qualified appearance status; Obtain a historical usage data set of steel structure equipment in a qualified appearance state, analyze and obtain historical usage characteristic values ​​of each steel structure equipment in a qualified appearance state based on the obtained historical usage data set of steel structure equipment in a qualified appearance state, and obtain usage evaluation deviation values ​​of each steel structure equipment in a qualified appearance state based on the historical usage characteristic values ​​of each steel structure equipment in a qualified appearance state and in combination with the appearance status evaluation values ​​of each steel structure equipment in a qualified appearance state; Acquire a real-time usage status data set of steel structure equipment with qualified appearance status, analyze and obtain the real-time usage status evaluation value of each steel structure equipment with qualified appearance status based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, and perform fault detection and early warning on the real-time usage status of each steel structure equipment with qualified appearance status based on the real-time usage status evaluation value of each steel structure equipment with qualified appearance status and in combination with the usage evaluation deviation value of each steel structure equipment with qualified appearance status; The real-time usage status evaluation value of each qualified appearance state steel structure equipment, the specific analysis process is as follows: In the formula, δ j is the real-time status evaluation value of the j-th qualified appearance state steel structure equipment, CY j The maximum bearing pressure of the j-th qualified appearance steel structure equipment in real time, HT j The real-time carrying current used by the j-th qualified appearance state steel structure equipment, ZD j is the real-time vibration frequency of the j-th qualified appearance status steel structure equipment, CY0 is the real-time bearing limit pressure of the qualified appearance status steel structure equipment stored in the database, HT0 is the real-time reference bearing current of the qualified appearance status steel structure equipment stored in the database, ZD0 is the real-time reference vibration frequency of the qualified appearance status steel structure equipment stored in the database, μ1 is the compensation factor of the set maximum bearing pressure of the qualified appearance status steel structure equipment in real time, μ2 is the compensation factor of the set bearing current of the qualified appearance status steel structure equipment in real time, μ3 is the compensation factor of the set vibration frequency of the qualified appearance status steel structure equipment in real time, j is the number of each qualified appearance status steel structure equipment, j=1, 2, 3, ..., n, n is the total number of qualified appearance status steel structure equipment, and e is a natural constant.

2. The steel structure detection data analysis method according to claim 1, characterized in that: The steel structure equipment appearance status data set specifically includes the number of dents of each steel structure equipment, the peeling area of ​​the surface coating of each steel structure equipment, and the number of deformed parts of each steel structure equipment.

3. The steel structure detection data analysis method according to claim 2, characterized in that: Based on the acquired steel structure equipment appearance status data set, fault detection and early warning are performed on the appearance status of each steel structure equipment, and steel structure equipment with qualified appearance status is screened. The specific analysis process is as follows: Based on the acquired steel structure equipment appearance status data set, a comprehensive analysis is performed to obtain the appearance status evaluation value of each steel structure equipment. The appearance status evaluation value of each steel structure equipment is used as the analysis basis for fault detection and early warning of the appearance status of each steel structure equipment and screening of steel structure equipment with qualified appearance status; Obtaining an appearance status evaluation value of each steel structure equipment, and comparing the appearance status evaluation value of each steel structure equipment with a reference appearance status evaluation value of the steel structure equipment stored in a database; If the steel structure equipment appearance status assessment value of a certain steel structure equipment is lower than the steel structure equipment appearance status reference assessment value, an appearance status fault detection warning is performed on the steel structure equipment, and the steel structure equipment is marked as unqualified appearance status steel structure equipment; If the steel structure equipment appearance condition assessment value of a certain steel structure equipment is higher than or equal to the steel structure equipment appearance condition reference assessment value, the steel structure equipment will be marked as steel structure equipment with qualified appearance condition.

4. The steel structure detection data analysis method according to claim 1, characterized in that: The obtaining of the historical usage data set of steel structure equipment with qualified appearance status is based on the obtained historical usage data set of steel structure equipment with qualified appearance status, and the historical usage characteristic value of each steel structure equipment with qualified appearance status is analyzed. The specific analysis process is as follows: Obtain a historical usage data set of steel structure equipment in qualified appearance status, which specifically includes the historical service life of each steel structure equipment in qualified appearance status, the historical total effective use time of each steel structure equipment in qualified appearance status, the historical parts replacement frequency of each steel structure equipment in qualified appearance status, and the historical total number of shutdowns caused by failures of each steel structure equipment in qualified appearance status; Based on the acquired historical usage data set of steel structure equipment with qualified appearance status, a comprehensive analysis is performed to obtain the historical usage characteristic values ​​of each steel structure equipment with qualified appearance status. The historical usage characteristic values ​​of each steel structure equipment with qualified appearance status are used as the analysis basis for matching to obtain the usage evaluation deviation values ​​of each steel structure equipment with qualified appearance status.

5. The steel structure detection data analysis method according to claim 4, characterized in that: The use evaluation deviation value of the steel structure equipment with each qualified appearance state is obtained by matching the historical use characteristic value of the steel structure equipment with each qualified appearance state in combination with the appearance state evaluation value of the steel structure equipment with each qualified appearance state. The specific analysis process is as follows: Record the steel structure equipment appearance status assessment value of each qualified appearance status steel structure equipment as the steel structure equipment appearance status assessment value of each qualified appearance status; Obtain the appearance status evaluation value of each steel structure equipment with qualified appearance status and the historical use characteristic value of each steel structure equipment with qualified appearance status; Generate a designated label from the appearance status evaluation value of each steel structure equipment with qualified appearance status and the corresponding historical usage characteristic value of each steel structure equipment with qualified appearance status; The designated label of a steel structure equipment with qualified appearance status is compared with the usage assessment deviation values ​​of steel structure equipment with qualified appearance status corresponding to each designated label stored in the database to obtain the usage assessment deviation value of steel structure equipment with qualified appearance status corresponding to the steel structure equipment with qualified appearance status.

6. The steel structure detection data analysis method according to claim 1, characterized in that: The real-time usage status data set of the steel structure equipment with qualified appearance status specifically includes the real-time maximum bearing pressure of each steel structure equipment with qualified appearance status, the real-time bearing current of each steel structure equipment with qualified appearance status, and the real-time vibration frequency of each steel structure equipment with qualified appearance status.

7. The steel structure detection data analysis method according to claim 1, characterized in that: Based on the acquired qualified appearance state steel structure equipment real-time use state data set, the real-time use state evaluation value of each qualified appearance state steel structure equipment is analyzed, and the specific analysis process is as follows: Based on the acquired real-time usage status data set of steel structure equipment with qualified appearance status, a comprehensive analysis is performed to obtain the real-time usage status evaluation value of each steel structure equipment with qualified appearance status. The real-time usage status evaluation value of each steel structure equipment with qualified appearance status serves as the analysis basis for fault detection and early warning of the real-time usage status of each steel structure equipment with qualified appearance status.

8. The steel structure detection data analysis method according to claim 7, characterized in that: Based on the real-time use status evaluation value of each qualified appearance state steel structure equipment and combined with the use evaluation deviation value of each qualified appearance state steel structure equipment, the real-time use status of each qualified appearance state steel structure equipment is subjected to fault detection and early warning. The specific analysis process is as follows: Obtain the real-time use status evaluation value of each steel structure equipment with qualified appearance status and the use evaluation deviation value of each steel structure equipment with qualified appearance status; Integrate the real-time use status evaluation values ​​of each qualified appearance state steel structure equipment and the corresponding use evaluation deviation values ​​of each qualified appearance state steel structure equipment to obtain the use status characteristic value of each qualified appearance state steel structure equipment, and compare the use status characteristic value of each qualified appearance state steel structure equipment with the use status reference characteristic value of the qualified appearance state steel structure equipment stored in the database; If the qualified appearance state steel structure equipment in service state characteristic value of a qualified appearance state steel structure equipment is higher than or equal to the qualified appearance state steel structure equipment in service state reference characteristic value, then the qualified appearance state steel structure equipment is in good service state; If the usage status characteristic value of a steel structure equipment with qualified appearance status is lower than the reference characteristic value of the usage status of the steel structure equipment with qualified appearance status, the usage status of the steel structure equipment with qualified appearance status is poor, and a fault detection warning prompt is issued for the real-time usage status of the steel structure equipment with qualified appearance status.

9. A steel structure detection data analysis system, applied to the circuit breaker porcelain bushing defect detection method according to any one of claims 1 to 8, characterized in that: It includes a qualified appearance status steel structure equipment screening module, an evaluation deviation value acquisition module and a fault detection early warning prompt module, among which: A qualified appearance state steel structure equipment screening module is used to obtain a steel structure equipment appearance state data set, perform fault detection and early warning on the appearance state of each steel structure equipment based on the obtained steel structure equipment appearance state data set, and screen the qualified appearance state steel structure equipment; Use an evaluation deviation value acquisition module to acquire a historical usage data set of steel structure equipment with qualified appearance status, analyze and obtain historical usage characteristic values ​​of each steel structure equipment with qualified appearance status based on the acquired historical usage data set of steel structure equipment with qualified appearance status, and obtain the usage evaluation deviation value of each steel structure equipment with qualified appearance status based on the historical usage characteristic values ​​of each steel structure equipment with qualified appearance status and in combination with the appearance status evaluation value of each steel structure equipment with qualified appearance status; A fault detection and early warning prompt module is used to obtain a data set of real-time usage status of steel structure equipment with qualified appearance status. Based on the obtained data set of real-time usage status of steel structure equipment with qualified appearance status, an evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status is analyzed. Based on the evaluation value of the real-time usage status of each steel structure equipment with qualified appearance status and combined with the evaluation deviation value of the usage of each steel structure equipment with qualified appearance status, fault detection and early warning are performed on the real-time usage status of each steel structure equipment with qualified appearance status.

Images