379results about How to "Effective maintenance" patented technology

The invention belongs to the technical field of safety monitoring of subway tunnels, and particularly relates to a subway tunnel water leakage monitoring method and system based on multi-modal data fusion, and the method comprises the steps: obtaining multi-source sensor time sequence data in a subway tunnel, carrying out the feature extraction, and extracting feature parameters related to water leakage; carrying out fusion analysis on the characteristic parameters through a data fusion algorithm, and evaluating the position and severity of water leakage, including extracting time-space correlation characteristics of data by using a dynamic time warping method; after feature extraction is performed on the data set and the space-time correlation features by using a convolutional neural network and a recurrent neural network, feature fusion is performed; and performing anomaly detection and classification on the fused high-level features by using a neural network method to obtain the position and severity of the leakage water. The advanced data fusion technology and the feature extraction algorithm are adopted, various collected data can be analyzed in real time, abnormal conditions can be found in time, and early warning is carried out.

The invention relates to the technical field of suspension bridges, in particular to a suspension bridge stress simulation analysis system, which comprises a vibration monitoring module, a cable force prediction and calibration module, an environmental influence analysis module and a structural performance evaluation module, and extracts frequency characteristic values and amplitude information based on vibration frequency data of a suspension bridge steel cable. According to the method, the vibration frequency data is used for deep analysis, potential structure defects are recognized in an early stage, the early warning capacity is remarkably improved, the potential maintenance cost is reduced, the service life of the bridge is prolonged, and the stability and safety of the bridge under variable loads are guaranteed through prediction and adjustment of the real-time cable force state; by integrating environmental data to update the fluid-solid coupling model, the system can accurately simulate the influence of environmental change on the bridge, optimize the structural design, enhance the structural adaptability, improve the economical efficiency and practicability of the bridge design, and optimize decision support, so that the bridge maintenance is more efficient, and the long-term structural safety of the bridge is ensured.

The invention discloses a digital marketing system based on big data. The digital marketing system comprises a data acquisition module, a data analysis module, a data planning module, a customer relationship management module and an effect evaluation module. The data acquisition uses advanced technology to collect multi-source data, the analysis module deeply mines values, the planning module customizes personalized strategies, the customer relationship management operates efficiently, and the effect evaluation module monitors in real time and adjusts the strategies according to results. All the modules work cooperatively, precision and intelligence of digital marketing are achieved, the marketing effect and efficiency are improved, and a corresponding innovative marketing method and related technologies are applied to all the steps to ensure efficient operation of the system; according to the digital marketing system, comprehensive and accurate data collection and integration, deep intelligent analysis and mining of data values, personalized marketing planning execution, efficient customer relationship management and real-time dynamic effect evaluation and optimization are realized, the marketing effect and efficiency are improved, resource waste is reduced, customer loyalty is enhanced, and innovative development of enterprise marketing is promoted.

The invention discloses an operation and maintenance control system for automatic intelligent equipment, and the system comprises an equipment monitoring and data collection module which is used for carrying out the real-time monitoring, data transmission and data storage of the automatic intelligent equipment; the data analysis and anomaly detection module is used for carrying out data preprocessing, data analysis and anomaly detection on the monitored data; the fault diagnosis and positioning module is used for performing fault diagnosis and fault positioning; the maintenance decision and execution module is used for making a maintenance decision and executing the maintenance decision according to the fault diagnosis and positioning result; and the feedback and optimization module is used for recording the maintenance process and optimizing the operation and maintenance control flow according to the maintenance feedback and the data analysis result. According to the invention, intelligent and comprehensive automatic intelligent equipment operation and maintenance control can be carried out.

The invention belongs to the technical field of bridge damage identification, and relates to a bridge structure intelligent damage identification method based on a physical information neural network, which comprises the following steps: 1, acquiring spatial relation data of a bridge structure, 2, acquiring real-time data, 3, preprocessing the data after the data is acquired, 4, performing hyper-parameter adjustment, 5, constructing a model, 6, carrying out model training and evaluation; 7, carrying out early warning and repairing scheme matching; the health state of the bridge can be monitored in real time, data support can be provided for future maintenance and repair, the safety of the bridge is improved, and the service life of the bridge is prolonged; therefore, a novel efficient tool is provided for bridge health monitoring and damage assessment through a unique data and physical driving method, an efficient and intelligent bridge monitoring and assessment system is constructed, and the safety and maintenance efficiency of the bridge are improved.

The invention relates to the technical field of testing and overhauling, in particular to a rotating machine equipment overhauling method and system based on the digital twinning technology, and the method comprises the steps: constructing a transformer substation three-dimensional virtual model which comprises a physical space, a virtual space and a digital service space; acquiring sensor data of a to-be-modeled object through a sensor assembly, processing the data, constructing a three-dimensional model, and filling the three-dimensional model into the virtual space; the physical space and the virtual space are mapped to the digital service space, the equipment operation state and fault positioning information are displayed in real time through the digital service space, overhaul suggestions are provided, the overhaul device is controlled by generating an overhaul instruction to overhaul the rotating machine equipment, and efficient monitoring and maintenance of the transformer substation equipment are achieved.

The present invention relates to the field of photovoltaic panel support application technology, and in particular to a photovoltaic panel support. The present invention includes a support base, a U-shaped mounting frame is fixed to the top of the support base, the top of the U-shaped mounting frame is rotatably connected to an axle seat, the inside of the axle seat is rotatably connected to a rotating rod, a transmission block is fixed to the outside of the rotating rod, a mounting plate is fixed to the end of the transmission block away from the rotating rod, a photovoltaic panel is slidably connected to the top of the mounting plate, U-shaped cleaning frames are slidably connected to both sides of the mounting plate, and the inner side of the U-shaped cleaning frame is slidably connected to the photovoltaic panel. A photovoltaic panel support provided by the present invention can effectively perform multi-directional adjustments according to the trajectory of the sun's movement by rotating the photovoltaic panel and the rotating rod, so as to maximize the photovoltaic panel's effective absorption of light energy, greatly improving the practicality and flexibility of the device.

The invention relates to the technical field of welding, and discloses a welding device for a stainless steel flat plate and a welding method thereof.The welding device comprises a welding table, a partition plate is fixedly installed on a bottom plate of the welding table, a controller is fixedly installed in the welding table, and the partition plate divides the bottom plate of the welding table into a first area and a second area. The circulating direction of the welding gun in the welding table is determined by selecting forward tilting welding or backward tilting welding, the welding gun can be switched between the two areas by moving the sliding seat in the sliding frame, the stainless steel flat plate bodies in the two areas can be alternately welded at the moment, the welding directions of the welding gun in the two areas are different, and the welding efficiency is improved. Therefore, when the position of the welding gun is switched, the inclination angle of the welding gun can be changed through the action of the linkage assembly, the included angle between the axis of the welding gun and the welding direction is consistent all the time, it is guaranteed that the same welding method is adopted when the welding gun conducts alternate welding, and then the consistency of the welding effect is guaranteed.

The invention relates to the technical field of dust separation, in particular to a convenient-to-clean bag-type dust collector for metallurgical casting. The bag-type dust collector convenient to clean for metallurgical casting comprises a bottom frame, an outer frame, a dust falling hopper, a dust discharging pipe, an air inlet pipe, an air outlet pipe, a supporting plate and a cloth bag, the top of the bottom frame is connected with the outer frame, the bottom of the outer frame is connected and communicated with the dust falling hopper, and the bottom of the dust falling hopper is connected and communicated with the dust discharging pipe. The left side of the lower portion of the outer frame communicates with an air inlet pipe. The first electric sliding rail drives the spraying pipe and the spraying head to move downwards and stretch into the cloth bag, it is guaranteed that compressed air can evenly cover the inner surface of the whole cloth bag, especially the lower area of the cloth bag, the problem of dust cleaning dead angles in a traditional dust cleaning mode is solved, and the dust cleaning effect is remarkably improved; due to the fact that the nozzle blows in the cloth bag, airflow cannot directly impact the surface of the cloth bag, physical abrasion of the cloth bag is reduced, and the service life of the cloth bag is prolonged.

The invention belongs to the technical field of compensators, and particularly relates to a corrugated pipe compensator capable of preventing a gas pipeline from deforming and a using method, the corrugated pipe compensator comprises two connecting rings, a first corrugated pipe and a second corrugated pipe, the flange plate is located on the side, deviating from each other, of the two connecting rings, and a second corrugated pipe is connected between the flange plate and the adjacent connecting ring; a limiting mechanism; the two connecting rings are distributed in a mirror image mode with the first corrugated pipe as the center. The limiting mechanism comprises four first limiting assemblies distributed on the connecting ring in the circumferential direction and two second limiting assemblies symmetrically distributed on the radial outer side of the first corrugated pipe. The device has the beneficial effects that through arrangement of the limiting mechanism, the first corrugated pipe and the second corrugated pipe can be simply and conveniently disassembled, assembled and fixed; according to the utility model, the connection is firm and reliable, the complexity and required manpower during assembly are reduced, the working efficiency is greatly improved, and the maintenance and replacement by a user can be more efficient.

The invention provides a real-time data-driven financial institution marketing management platform, and aims to improve the capabilities of a financial institution in customer group self-defined screening, customer precision marketing, business opportunity management, activity evaluation, quick business index creation and the like. The system integrates a client management module, a business opportunity management module, an activity management module, a label management module, an index management module and the like, supports user-defined screening of target customer groups, and supports user-defined configuration and automatic processing of index labels so as to realize timely acquisition, analysis and response of data. Through the platform, a financial institution can identify, screen and maintain high-value customers more effectively, a marketing strategy is optimized, and market competitiveness and business efficiency are improved.

The invention provides an electric meter box management method, management device and management equipment, and relates to the technical field of electric power, and the electric meter box management method comprises the steps: generating a regional electric meter box thermodynamic diagram corresponding to relative position data, setting each electric meter box as a corresponding operation node, and enabling each operation node to be matched with the corresponding current operation state data; when the current operation state data of any electric meter box in the monitoring area is abnormal, marking the position of the corresponding electric meter box in the area electric meter box thermodynamic diagram as an abnormal node; determining a corresponding fault problem, a corresponding maintenance demand and a maintenance emergency degree from an abnormal node selected from the regional electric meter box thermodynamic diagram; matching a processing item type corresponding to the fault problem, and generating a corresponding maintenance code; and acquiring real-time image data transmitted by the maintainer from the position of the corresponding electric meter box and fault description transmitted by the maintainer at the terminal, and generating a corresponding maintenance report. According to the invention, real-time monitoring and efficient maintenance of the electric meter box can be realized.

The invention discloses an electric energy meter on-site real-time detection system and a detection method thereof, and relates to the technical field of electric energy metering detection, and the method comprises the following steps: collecting related data of an electric energy meter regularly in real time through a sensor, and reading the electric energy reading of the electric energy meter based on a unit time interval; on the basis of the current and voltage data in the unit time, a theoretical electric energy value is obtained through calculation by using an electric energy calculation formula, electric energy meter error value data is obtained by combining an actually measured electric energy value collected in real time in the unit time, and the electric energy meter is judged and marked on the basis of an error threshold value; an error database is established for the electric energy meters with errors within an allowable range, and error data are recorded independently. By combining the offline fault report and error data analysis method, the accuracy and efficiency of fault diagnosis can be improved, the operation and maintenance strategy can be optimized, the maintenance cost is reduced, more efficient real-time detection and maintenance of the electric energy meter are realized, and the practicability and functionality are enhanced.

The embodiment of the invention discloses a power failure fault warning method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: acquiring a real-time digital twinborn model; in response to the received equipment fault detection information, obtaining a target equipment identifier; obtaining a power equipment association relationship graph from a distributed server; according to the target equipment identifier, performing preliminary cutting on the electrical equipment association relationship graph to generate a first cut graph; determining first power failure influence range information according to the first clipped map; obtaining a distribution map from a distributed server; screening out at least one piece of first key facility object information from the distribution map; and displaying a first real-time region image corresponding to the first power supply sub-region in the real-time digital twin model. According to the implementation mode, the corresponding related power failure information can be quickly and efficiently generated for the fault equipment, subsequent power equipment maintenance can be carried out in time, and stable power supply is guaranteed.

The invention relates to the technical field of fire-fighting engineering operation and maintenance, in particular to a fire-fighting equipment engineering maintenance method and system based on digital twinning. Performing data processing on the collected state data to obtain real-time state data of each fire-fighting device; synchronizing real-time state data of each fire-fighting device to the initial state digital twin model through a data interface to realize model state updating, and obtaining a real-time state digital twin model of the fire-fighting device project; comparing the initial state digital twinborn model with a real-time state digital twinborn model, and judging the performance state of each piece of fire-fighting equipment in the fire-fighting engineering area at a preset time node; and generating equipment maintenance early warning information according to the performance state of each fire-fighting equipment in the fire-fighting engineering area at the preset time node. According to the invention, efficient maintenance of fire-fighting equipment engineering is realized through a digital twinning technology, and the risk of fire-fighting equipment failure can be effectively reduced.

The invention relates to the technical field of medicine production, discloses a blocky raw material grinding device for triacetyl ganciclovir production, and solves the problems that an existing blocky raw material grinding device for triacetyl ganciclovir production is low in efficiency and high in energy consumption. Directional feeding is achieved through a special structure of a rotating pipe, the feeding accuracy is improved, low efficiency caused by uneven feeding is reduced, the pressure intensity is increased through eccentric rotation of a coarse grinding table and a convex ring, the crushing efficiency is improved, the coarse grinding time is shortened, and the energy consumption is reduced. According to linkage driving of a servo motor, the number of power sources is reduced, the structure is simplified, cost and maintenance difficulty are reduced, powder blanking is promoted through arc-shaped design of a drum plate, smooth material circulation is guaranteed, staying and blocking are reduced, small blocky raw materials are extruded in a linkage mode through an extrusion net, the suitability of fine grinding materials is improved, and the material blocking problem is reduced. The fine grinding quality and efficiency are guaranteed, and the overall energy consumption is reduced.

The embodiment of the invention discloses an electric energy meter protocol de-framing method and device, electronic equipment and a storage medium, and relates to the technical field of communication protocol processing, and the method comprises the steps: obtaining a service type and an object identifier according to APDU analysis of a state grid 698 protocol, obtaining object configuration information through searching by a dichotomy method, and obtaining an object identifier; obtaining member number limitation, operation authority and multiple sub-member information of the object, reading corresponding sub-member data information, if the service type is a read object, framing according to the data type and length of the multiple sub-member data information, and if the service type is a write object, framing according to the data type and length of the multiple sub-member data information; if yes, deframing is carried out according to the data type and length of the data information of the multiple sub-members, and the data information is written into corresponding data source positions and stored. According to the method, the problems of large code volume, high maintenance difficulty, low efficiency and resource waste caused by repeatedly compiling the framing and de-framing functions in the prior art are solved by designing the universal framing and de-framing functions for the data types and combining the configuration parameters and the linked list lookup technology.

The invention provides a multi-source heterogeneous power distribution network fault prediction method and system, relates to the technical field of power distribution network fault identification, and aims to solve the problems that an existing model is single in consideration factor, cannot comprehensively simulate a complex fault type of a multi-source heterogeneous power distribution network, is large in calculation amount, is low in efficiency, and is poor in fault prediction accuracy. The method comprises the steps of obtaining historical data related to a power distribution fault; preprocessing the historical data related to the power distribution network fault to obtain preprocessed historical data; analyzing the preprocessed data by adopting a clustering technology to obtain a clustering result; based on a clustering result, constructing a fault prediction model for training to obtain a trained fault prediction model; and inputting real-time data related to the fault of the power distribution network into the trained fault prediction model for prediction. According to the method, the problems of delay, large calculation amount and low efficiency are avoided, the real operation condition of the power distribution network can be reflected, and the fault type of the multi-source heterogeneous power distribution network is comprehensively simulated.

The invention discloses a roll and package workshop business data management method, system and device and a storage medium, and belongs to the technical field of roll and package workshop informatization management. Business processes and related business data under each module are sorted out according to a process quality module, a device module and a production module, and then data source information of a related database is configured; a database table structure and data are obtained, a tree-shaped business flow chart is established according to the business flow of each module, then corresponding database tables are associated with business nodes related to the data, and finally association and management and control of the business and the data are achieved. Comprehensive digital management of business data of the roll-to-package workshop is realized, a data barrier between business modules is broken, and intercommunication and sharing of data are realized; communication between business personnel and data management personnel is simplified, and convenience of business data management is improved.

The utility model relates to the technical field of formaldehyde removal, and discloses a photocatalyst-based multi-stage formaldehyde removal device which comprises a treatment box, a filter window is arranged on one side of the treatment box, a filter screen is mounted in the treatment box, two sliding columns are fixedly connected to the upper portions of the two sides of the filter screen, springs are mounted on the outer walls of the sliding columns, and the outer walls of the sliding columns are fixedly connected with the filter screen. One ends of the springs are fixedly connected to the upper portions of the two sides of the filter screen, and mounting blocks are mounted on the upper portions of the two sides of the filter screen. According to the utility model, the pushing block is pushed to enable the mounting block to slide on the sliding column, the spring is compressed, and the two fixing blocks are driven to be close to each other, so that the fixing blocks can be separated from the first mounting groove, and the fixing blocks can be reset to enter the first mounting groove under the action of the spring when the pushing block is loosened; therefore, the filter screen can be quickly disassembled and assembled, the filter screen can be conveniently cleaned, and the working efficiency and the performance stability of device operation are effectively improved.

The invention discloses a rolling head, belongs to the technical field of pattern rolling tools, and particularly relates to an adjustable axial pattern rolling head which comprises a tail handle, a shell, an upper cover plate, a middle plate, a cover plate, a gear assembly and a rolling assembly. The cover plate is fixedly installed on the middle plate, the rolling assembly is installed between the upper cover plate and the cover plate, the shell is fixedly installed below the middle plate, and the tail handle is connected into the shell in a sleeved mode. The gear assembly is located in the shell and connected with the tail handle and the rolling assembly at the same time so that the gear assembly can drive the rolling assembly to rotate and conduct rolling work along with rotation of the tail handle. The structure of the pattern rolling head is designed for special industries, the investment cost is reduced, the debugging difficulty is lowered, and the structure of the pattern rolling head is simplified; operation is easy, the pattern rolling range can be adjusted, and maintenance is efficient.

The invention provides a road intelligent maintenance method and system based on an equivalent axle number and a medium, and belongs to the technical field of road maintenance and big data. The method comprises the following steps: acquiring road vehicle passing information and road state information of a preset area in a preset time period, extracting road design parameter information and road disease detection information according to the road state information, querying according to the road vehicle passing information to obtain equivalent axle number data, processing to obtain accumulated equivalent axle number data, and determining the road design parameter information and the road disease detection information according to the accumulated equivalent axle number data. A road tolerance index is obtained in combination with road design parameter information, a road damage degree index is obtained according to road disease detection information, the road damage degree index is compared with the road tolerance index, a road damage resistance matching degree index is obtained, and whether road damage is normal or not is judged. According to the method, the quantitative conversion from the original data to the evaluation result is realized, the actual condition of the road can be accurately reflected based on professional knowledge and practical experience, and the comprehensiveness and accuracy of the evaluation are ensured.

The invention relates to the technical field of power system monitoring and fault diagnosis, and discloses an electromagnetic voltage transformer internal defect multi-parameter online monitoring method, which comprises the following steps: S1, detecting a discharge arc light signal in a transformer by using a photomultiplier; s2, capturing a partial discharge ultrasonic signal in the mutual inductor by adopting an ultrasonic sensor; s3, monitoring voltage and current signals of the mutual inductor by using a current sensor; s4, comprehensive internal defect analysis is carried out on the mutual inductor according to the detected optical signals, ultrasonic signals and voltage and current signals, early discovery and early warning of internal defects of the voltage mutual inductor can be achieved through a multi-parameter online monitoring method, the overall operation efficiency and safety of an electric power system can be improved, and the potential safety hazard of the electric power system can be reduced. Through the real-time and comprehensive monitoring, the maintenance cost and the potential risk caused by the fault of the voltage transformer can be greatly reduced.

The invention provides a predictive maintenance model management method for a communication information system, belongs to the field of artificial intelligence, and realizes predictive maintenance of equipment and network nodes by utilizing real-time data in a communication network and combining a PPO algorithm. The method is suitable for a dynamic environment of a large-scale communication network, integrates multi-source data through a data sharing platform, and optimizes the learning and prediction capabilities of the model. Comprising distributed data acquisition, dynamic model updating, maintenance strategy generation, model optimization and real-time data synchronization. The problem that traditional centralized model management cannot adapt to communication network complexity and dynamic change is solved. Through distributed data processing and adaptive optimization of the PPO algorithm, the prediction precision and response speed of the system are improved, and the operation efficiency and maintenance capability of the communication information system are significantly improved.

The invention discloses an analysis system based on a metering model, belongs to the field of anomaly analysis, and aims to solve the problems of monitoring equipment anomaly in real time and automatically diagnosing the equipment anomaly type. The system comprises an acquisition terminal, an electric energy meter, intelligent sensing equipment and a data management platform, the acquisition terminal is used for acquiring operation data of at least one sensing device, processing the acquired operation data and transmitting the processed operation data to the data management platform; the data management platform is used for receiving the processed operation data and carrying out anomaly detection and diagnosis on the operation data; the data management platform comprises an online detection module, an automatic diagnosis module and an abnormity recheck module; the online detection module is used for carrying out anomaly detection on the operation data received by the data management platform and outputting an abnormal equipment number; the automatic diagnosis module is used for performing automatic abnormality diagnosis on the abnormal equipment and judging the abnormality type of the equipment; and the abnormity recheck module is used for carrying out abnormity recheck diagnosis on the maintained equipment.

The invention relates to the technical field of data modeling, in particular to a hydroelectric generating set online monitoring data analysis method. The method comprises the following steps: obtaining online monitoring data of the hydroelectric generating set, and carrying out data preprocessing on the online monitoring data of the hydroelectric generating set so as to obtain online monitoring data of the hydroelectric generating set to be processed; performing generator vibration sensing monitoring data extraction according to the to-be-processed hydroelectric generating set online monitoring data so as to obtain generator vibration sensing monitoring data; performing vibration anomaly analysis according to the vibration sensing monitoring data of the generator to obtain vibration anomaly data; and acquiring generator sensing data, and performing environment correction on the abnormal vibration data according to the generator sensing data so as to obtain abnormal vibration correction data of the generator. The monitoring accuracy of the hydroelectric generating set monitoring model is improved based on the data modeling technology.

The invention relates to the technical field of pipeline detection, in particular to an omnidirectional wheel pipeline inspection robot which comprises two robot bodies and a joint variable structure located between the two robot bodies, and the two robot bodies are connected through the joint variable structure; the robot body comprises a bottom plate, a wheel set driving mechanism and a wheel track adjusting mechanism, wherein the wheel set driving mechanism and the wheel track adjusting mechanism are arranged on the bottom plate. The wheel set driving mechanism comprises a wheel set driving assembly, a transmission shaft assembly and omni-directional wheel assemblies, the wheel set driving assembly is in transmission connection with the transmission shaft assembly, and the two omni-directional wheel assemblies are symmetrically arranged on the transmission shaft assembly; the wheel track adjusting mechanism is used for adjusting the distance between the two omnidirectional wheel assemblies. The joint variable structure comprises a posture bending assembly and a joint transmission assembly, and the posture bending assembly and the joint transmission assembly are both connected with the two robot bodies. According to the invention, normal operation in a bent pipeline with many obstacles is facilitated, and normal operation in pipelines with different pipe diameters and pipe diameter changes is also facilitated.

The invention discloses a remote monitoring and maintenance installation system for a high-altitude photovoltaic power station, and the system comprises a special protection monitoring unit, a self-adaptive adjustment installation support, a remote monitoring and maintenance control center, and a high-altitude special communication network module, which are sequentially connected with one another and work cooperatively. Through the innovative design of a high-definition camera in the special protection monitoring unit, that is, a nanometer hydrophobic material coated on the outer layer of a lens and an anti-fog coating integrated with a heating wire are combined with an intelligent temperature control module, the problem that the lens fogs and is blurred in a high-altitude, low-temperature and high-humidity environment is effectively solved, and it is ensured that clear monitoring images can be obtained at any time; operation and maintenance personnel can conveniently and accurately master the site condition of the power station. The multi-sensor integration module integrates various high-precision sensors, various key data in a high-altitude environment can be comprehensively collected, a rich and accurate data basis is provided for subsequent data analysis, risk assessment and decision making, potential problems can be found in advance, and response measures can be taken in time.

The invention provides a photovoltaic array fault diagnosis method based on composite model soft voting integration. The photovoltaic array fault diagnosis method comprises the following steps: acquiring a plurality of P-V curve data when a photovoltaic array normally operates and fails; preprocessing the plurality of P-V curve data, and formulating fault type labels and performing division processing to obtain a training data set and a test data set; constructing a plurality of composite sub-models, integrating the composite sub-models based on a soft voting integration algorithm, determining various hyper-parameters of the integrated diagnosis model based on a global optimization algorithm, and completing the construction of the integrated diagnosis model; inputting the training data set into the integrated diagnosis model for training to obtain a trained integrated diagnosis model; inputting the test data set into the trained integrated diagnosis model to test and evaluate the performance of the integrated diagnosis model; and the photovoltaic array is diagnosed through the integrated diagnosis model, and the fault type of the photovoltaic array is determined.