143results about How to "Ensure comprehensiveness" patented technology

The application discloses a lining cloth dyeing control method and system based on artificial intelligence, and is used for the control field, and the method comprises the following steps: real-time monitoring of multi-source data in the lining cloth dye vat, capturing the video stream inside the lining cloth dye vat; using a Gaussian mixture variational autoencoder model to extract features from the multi-source data, obtaining multi-source feature data; obtaining the changing moment of the fabric state in the video stream, and extracting the fabric state change feature data according to the observed fabric color change and the heterogeneity of the dye distribution in the video stream; fusion of multi-source feature data and fabric state change feature data; introducing a model predictive control layer, predicting the result to adjust the dyeing parameters in real time; establishing an intelligent feedback mechanism. The Gaussian mixture variational autoencoder model is trained and optimized through the small-batch stochastic gradient descent and back propagation algorithm, important features are learned and captured from the data.

The invention discloses a storage cabinet for computer data management, which relates to the technical field of cabinets and comprises a storage cabinet body for computer data management. Through the arrangement of the detection part, the standby heat dissipation mechanism and the alarm mechanism, the detection part can monitor the temperature in the cabinet body in real time, and when the situation that the temperature is too high is monitored, the alarm part can be started in time to give out an alarm sound to remind a user to maintain and check reasons in time; the problems that heat dissipation in daily use of a storage cabinet is an indispensable function, and when an existing cabinet is used, due to the fact that the existing cabinet is lack of a structure for monitoring the internal temperature, once the internal heat dissipation function is used along with time, aging occurs, and the heat dissipation efficiency is insufficient, alarming cannot be conducted in time are solved. Therefore, the problems that the service life is affected, the performance is reduced, and certain limitation exists are solved.

The application provides a steel bridge part manufacturing method, device, equipment and medium, and relates to the technical field of bridge manufacturing. The method comprises the following steps: acquiring basic information corresponding to each plate part in a steel bridge; generating a contour map of the plate part based on a three-dimensional model of the plate part, determining a target allowance corresponding to the plate part by using process attribute information and a preset allowance addition rule library, and modifying the contour map to obtain a target contour map according to the target allowance; generating a layout scheme based on the target contour maps corresponding to all plate parts; generating a processing instruction according to the layout scheme, and sending the processing instruction to a corresponding preset processing equipment, so that the preset processing equipment processes a mother plate according to the processing instruction. The application can realize integrated operation of each manufacturing link of the steel bridge part, and effectively improve the efficiency and quality of the steel bridge part manufacturing.

The invention discloses a molten aluminum refining production process capable of reducing the iron element content, and relates to the technical field of secondary aluminum refining. The process is combined with the characteristics of existing secondary aluminum refining equipment and process, and comprises the steps of pretreatment in a smelting furnace, refining in a holding furnace, online rotor refining and ceramic filtration, and multi-stage iron removal is realized by comprehensively applying a flux method, a gravity settling method and a ceramic filtration method. The iron removal flux and inert gas are blown through the rotor, the iron removal reaction is accelerated, the single-process iron removal effect and production efficiency are improved, and the flux consumption is reduced. The iron removal efficiency is stabilized at 62% or above, the iron content in the secondary aluminum is effectively reduced, the product quality is improved, and the method is suitable for industrial production.

The application provides an ultrasound-guided puncture method and system, relates to a data processing technology, and achieves accurate positioning during venous puncture under ultrasound guidance by constructing a part model corresponding to a puncture part, determining a partition scanning line of the part model, controlling an ultrasound device to perform segmented scanning on the puncture part based on the partition scanning line, obtaining a segmented scanning image, determining a segmented scanning image meeting a puncture condition as a sub-adaptive image, performing splicing processing on adjacent sub-adaptive images to obtain a spliced puncture image, performing venous shape judgment on the spliced puncture image to obtain a candidate puncture image, performing optimal selection on the candidate puncture image to obtain a puncture guide image, and determining a puncture point of a punctured vein in the puncture guide image based on a centripetal direction.

The invention discloses a power grid enterprise emergency plan system assessment method and system, a medium and equipment, and belongs to the technical field of emergency plan system assessment, and the power grid enterprise emergency plan system assessment method comprises the steps: constructing an emergency plan assessment index system; key risk indexes are identified through a fuzzy Delphi method; carrying out dynamic weight distribution on the key risk indexes based on a Bayesian best worst method; a fuzzy comprehensive evaluation method is combined with the maximum membership degree principle, and comprehensive evaluation is carried out on the emergency plan system; constructing a comprehensive risk early warning model, and calculating an early warning value of each index and an overall early warning level; and outputting an evaluation result and an early warning level. According to the method, comprehensiveness, systematicness, feasibility and practicability of emergency plan system evaluation indexes can be ensured, and emergency capability construction of power grid enterprises can be objectively and effectively evaluated.

The present application belongs to the technical field of photovoltaic equipment monitoring fault early warning, and relates to a photovoltaic equipment cluster benchmarking analysis and implicit fault early warning method and system. The system collects basic parameters and implicit associated data of photovoltaic equipment through a data acquisition module to ensure data comprehensiveness and timeliness. Through a data fusion module, the collected data is processed and fused to generate a standardized data sequence. Through a cluster benchmarking module, the photovoltaic equipment is divided into different clusters, a group health benchmark is constructed, and the model accuracy is improved through individual difference calibration. Through a dynamic early warning module, early warning information is generated, and a basis is provided for subsequent fault troubleshooting. Through an intelligent operation and maintenance module, early warning is prioritized and an operation and maintenance scheme is generated, which is pushed to operation and maintenance personnel for optimization guidance. The present application can realize accurate benchmarking analysis and implicit fault early warning of photovoltaic equipment clusters, and reduce the failure rate.

The invention provides an unmanned aerial vehicle cluster collaborative inspection method and system for an ultra-high voltage power transmission line, relates to the technical field of power transmission line operation and maintenance, and solves the limitation problems of low collaborative efficiency, difficulty in data synchronization and the like of the current unmanned aerial vehicle cluster technology in line inspection. The method comprises the following steps: firstly, establishing a line three-dimensional digital twinborn model, dividing a to-be-patrolled line into a plurality of patrolling areas, and planning an initial patrolling path for each unmanned aerial vehicle in an unmanned aerial vehicle cluster; the unmanned aerial vehicles are classified into main unmanned aerial vehicles, detection unmanned aerial vehicles and operation unmanned aerial vehicles, the detection unmanned aerial vehicles collect environment information in advance according to the initial patrol path, and the main unmanned aerial vehicles dynamically adjust the flight path of the operation unmanned aerial vehicles accordingly; the operation unmanned aerial vehicle performs preprocessing and standardized packaging on the collected multi-source data, and a formed data packet is uploaded to the cloud platform by the main unmanned aerial vehicle to analyze and identify line defects. The system has the advantages and characteristics of full coverage, high efficiency and high precision of ultra-high voltage transmission line inspection.

The utility model provides a three-dimensional scanner with an adjustable scanning angle, which relates to the technical field of scanners and comprises a movable mechanism, the movable mechanism comprises a connecting column fixedly connected to one side of a support, the lower end of the connecting column is fixedly connected with a fixing block, the middle of the lower end of the fixing block is fixedly connected with a connecting block, and the lower end of the connecting block is movably connected with a ball. The outer wall of the lower end of the ball is fixedly connected with a connecting rod, the lower end of the connecting rod is fixedly connected with a sliding block, the lower end of the sliding block is fixedly connected with a scanning device, and one side of the fixing block is movably connected with a first transmission mechanism and a second transmission mechanism. According to the utility model, the problem that the scanning requirements of objects with complex shapes and diversified sizes are difficult to meet because the conventional scanners mostly adopt a fixed-angle or limited-angle scanning mode is solved. And the design of a fixed scanning angle is easy to cause a scanning blind area, so that part of key detail information is lost, and the precision and integrity of the model are influenced.

This application relates to the fields of natural language processing and smart education infrastructure technology, and discloses an intelligent grading and classroom simulation interaction platform for reading and writing continuation. The platform extracts reference text to construct a basic state map, extracts characters from handwritten text to construct a continuation state map, and generates a multi-dimensional defect feature matrix by comparing and extracting topological breakage features. Based on the feature matrix, it clusters execution objects and calculates defect complementarity to generate a grouping strategy. Based on the grouping strategy and historical writing fluctuation characteristics, it dynamically generates typesetting instructions with isolation buffers. It scans the physical medium to extract multi-region handwritten text data, reconstructs it into an interactive text tree, compares it with the basic state map, calculates penalty values, and outputs evaluation data. This invention transforms subjective semantic differences into topological structural differences, realizes complementary grouping of execution objects and dynamic typesetting of the medium, avoids cross-boundary optical scanning, and takes into account both continuation deviation and plot omission verification.

The invention discloses a fuel management supervisor on-duty compliance verification method and a related device, and belongs to the technical field of personnel management. The method comprises the following steps: acquiring human face information and personnel data of spatial position information at an inlet and an outlet of a fuel sample preparation room in real time; based on the personnel data, the number of personnel in the sample preparation room is counted and judged in real time through a dynamic people number balance algorithm; on the basis of face information in the personnel data, performing biological characteristic identity verification on personnel in the sample preparation room, and confirming the identity and on-duty state of the supervisor; and coupling the number of the personnel, the identity of the supervisor and the on-duty state of the supervisor, and generating a compliance judgment conclusion. According to the invention, on the basis of a living body detection and trajectory tracking technology chain, the problems of identity false use, double-person cooperative verification and shift supervision are solved, and a non-repudiation responsibility tracing system is constructed. Through cross-modal data fusion and complex environment adaptation design, the problems of data islands, statistical distortion and equipment reliability in the prior art are solved, and all-time accurate supervision is realized.

The present application relates to the technical field of metal material heat treatment, in particular to a heat treatment furnace device and method capable of controlling temperature and cooling speed, wherein the furnace body is internally constituted as a hearth, the output end of the air supply system is located at the lower region of the hearth through the furnace body; the flow equalizing system is arranged at the lower region of the hearth and is in communication with the output end of the air supply system; the workpiece is placed on the flow equalizing system; the circulation and exhaust system is arranged at the upper region of the hearth and is in communication with the interior of the hearth, the temperature monitoring system is arranged on the circulation and exhaust system and is directly above the workpiece; the control system is electrically connected with the air supply system, the circulation and exhaust system and the temperature monitoring system. The present application effectively solves the problems of insufficient cooling speed and poor cooling uniformity in the prior art.

This invention discloses a solid-liquid separation device and method for red mud treatment, relating to the field of solid-liquid separation technology. The invention includes a base, a sedimentation tank fixedly connected to the top of the base, an inlet pipe fixedly connected to the top of the sedimentation tank, a separation mechanism on the top of the base, a rinsing mechanism on the front of the separation mechanism, and a squeezing mechanism on the top of the base. The invention uses an external controller to start a first motor, driving a rotating shaft and a sliding plate to rotate slowly. Under the buoyancy of the float, the sliding plate and its extraction unit remain suspended on the surface of the supernatant, effectively avoiding interference from the thick sludge at the bottom. Then, a first water pump is started, and the clear supernatant is extracted and transported to a storage tank via a flexible first pipe and a first and second rotary joint that can adapt to rotation. This ensures the quality of the supernatant recovery and provides convenience for subsequent rinsing or reuse. Simultaneously, the rotary design avoids disturbance to the settling interface.

The application relates to the field of high-end equipment manufacturing technology and discloses a polishing device for machine tool part production and machining, which comprises a workbench; a polishing mechanism and a product detection mechanism are installed on the workbench; the polishing mechanism comprises a driving polishing wheel and a driven polishing wheel which are rotationally installed on the workbench; a polishing gap is left between the driving polishing wheel and the driven polishing wheel; the polishing gap is used for storing workpieces; and the rotation directions of the driving polishing wheel and the driven polishing wheel are opposite; the polishing mechanism and the product detection mechanism are integrated on the same workbench; the mechanical arm can directly transfer the workpieces to the visual detection assembly for detection while completing polishing feeding and discharging; polishing-detection integration is realized; the workpieces are not needed to be transported between different stations and clamped again; the production rhythm is obviously shortened; and the overall production efficiency is improved.

The present application belongs to the field of ecological environment protection, and particularly relates to a municipal pipe network overflow pollution tracing method based on DOM molecular group discrimination tracing. The municipal overflow pollution tracing method provided by the present application mainly refers to obtaining the DOM molecular pool of main pollutants in municipal overflow and the molecular group composition characteristics thereof through FT-ICR-MS detection and calculation on a large number of pollution source samples of municipal overflow, and comprehensively and accurately completing the pollution source tracing of the end municipal overflow by using the analysis of the DOM molecules of various pollution sources of municipal overflow at the molecular level, so as to provide reliable data and technology for effective control of overflow pollution and optimization management and upgrading reconstruction of the drainage system.

The utility model discloses portable aviation seat slide rail foreign matter removing tool, including handle, the side surface of handle is equipped with the storage groove, and the rack is equipped in the storage groove and is penetrated, the one end of rack is located the one side fixed connection of handle and is provided with the cleaning head, and the bottom surface one side fixed mounting of cleaning head is provided with the light. The utility model, the operator holds the tool handle, and the light of cleaning head bottom is opened, and the slide rail area below aviation seat is illuminated, and it ensures that the operator can clearly observe the foreign matter and chippings in the slide rail, the cleaning brush is equipped with cleaning head bottom, can effectively remove small impurities, and its side surface is provided with magnet, is used for adsorbing the coin, key etc. iron foreign matter in the slide rail, and the hook structure can hang and take larger sundries, to realize comprehensive cleaning, the tool can efficiently remove all sorts of residual in the slide rail, avoids the problem of jamming caused by the accumulation of foreign matter, ensures the normal adjustment and long -term stable operation of aviation seat.

The application provides an air mileage management method, system and storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring multi-source business data; the multi-source business data is data related to air mileage; processing the multi-source business data to determine time sequence feature representation, static attribute feature representation and event feature representation; wherein the time sequence feature representation is used to represent the characteristics of the change of air mileage issuance over time, the static attribute feature representation is used to represent the characteristics of the inherent attributes of the partners related to air mileage issuance, and the event feature representation is used to represent the characteristics of the sudden business events affecting air mileage issuance; performing fusion processing on the time sequence feature representation, the static attribute feature representation and the event feature representation to obtain comprehensive feature representation; and determining the regulation strategy of air mileage based on the comprehensive feature representation.

The application relates to the technical field of accurate load prediction of a virtual power plant, and provides a load accurate prediction method and system for multi-source heterogeneous data fusion of a virtual power plant, so as to solve the problem that the existing technology is difficult to adapt to the accurate load prediction demand of a virtual power plant for a short period. The application collects photovoltaic output, wind power fluctuation data of a virtual power plant, and real-time current and node voltage monitoring data of a distribution network, associates and labels the former two to obtain an associated data set, phase-calibrates the latter two to obtain a calibrated data set, and integrates the two data sets into a multi-source heterogeneous data set; then, fluctuation characteristics of various data are extracted, an XGBoost algorithm is used to screen out a core information feature set affecting load prediction accuracy, and finally, a GRU time sequence prediction model is used to generate a load prediction result in a preset time period, so that the multi-source heterogeneous data of a virtual power plant can be fused, feature screening and time sequence correlation processing are performed, and accurate load prediction in a preset time period can be realized.

The invention provides an industrial park innovation atmosphere evaluation method and system, and the method comprises the steps: carrying out the data preprocessing of an obtained initial historical live-action image set, and obtaining a target historical live-action image set; a multi-level industrial park innovation atmosphere evaluation system comprising a target layer, a criterion layer and an index layer is constructed, the target layer is used for defining an overall target of industrial park innovation atmosphere evaluation, and the criterion layer is used for disassembling the defined overall target of the target layer into two types of intermediate dimensions, namely visual feeling and element characteristics; the index layer is used for determining specific indexes with pertinence for each dimension of the criterion layer; scoring the target historical live-action image set according to the multi-level industrial park innovation atmosphere evaluation system to determine an evaluation criterion, and determining a core MLLM evaluation model according to the evaluation criterion; and based on the core MLLM evaluation model, establishing an automatic innovation atmosphere evaluation framework according to organic fusion of core driving subject identity definition, evaluation view and corresponding priority evaluation indexes.

The application discloses a kind of based on digital steel coil's full life cycle product carbon footprint calculation method, comprising the following steps: A1: determining the system boundary of carbon footprint in the full life cycle of digital steel coil, and collecting activity data;A2: according to the actual production process and material consumption data of digital steel coil, determine the direct carbon emission source and indirect carbon emission source of each stage;A3: determine and collect the direct carbon emission source factor and indirect carbon emission emission factor in each stage;A4: using the emission factor of direct carbon emission source and the emission factor of indirect carbon emission source, build the carbon emission calculation model of each stage, obtain the partial carbon emission of each stage, and corresponding carbon load type;A5: using the production process path of digital steel coil, the carbon emission of last stage product is transferred to the material input of next stage, and the cumulative carbon emission of each stage product is obtained.The life cycle carbon footprint of digital steel coil is obtained by the carbon emission calculation model of each stage.

The invention discloses a supply chain ESG risk dynamic assessment method and system based on multi-source data fusion, and the method comprises the following steps: 1, collecting multi-source heterogeneous data at each node of a supply chain, processing the data, and generating a node data set containing ESG risk features; 2, based on the node data set generated in the step 1, in combination with attribute parameters of supply chain nodes and external dynamic information, adaptively generating a dynamic evaluation benchmark; and step 3, on the basis of the node data set generated in the step 1 and the dynamic assessment benchmark generated in the step 2, constructing a risk conduction model to carry out real-time risk assessment, and outputting an assessment result containing a risk conduction path. And multi-source implicit information is fused by combining a space and semantic association technology, so that the objectivity and comprehensiveness of an evaluation basis are ensured.

This application relates to the field of data processing technology and discloses an integrated sky-ground geological environment monitoring and assessment method and system. The method includes: integrating sky remote sensing, surface monitoring, and underground exploration data into a monitoring matrix, processing the data to generate a raw database; constructing a spatiotemporal standard field based on the database and fusing it to generate a correlation spectrum; decomposing the correlation spectrum to obtain element feature chains; constructing a coupled dynamic field based on the feature chains and analytically obtaining an evolutionary parameter set; establishing a risk assessment matrix based on the parameter set and analyzing to generate an early warning indicator system; and designing a governance plan by combining the early warning system and historical cases. This application achieves deep integration of space-based remote sensing data, surface monitoring data, and underground exploration data by constructing a unified spatiotemporal standard field, a multi-level feature transfer network, and a dynamic coupling model, thereby improving the accuracy and reliability of geological environment monitoring and assessment.

The invention relates to the technical field of adsorbent performance optimization, in particular to a CO2 humidifying adsorbent adsorption performance optimization method and system based on multi-feature matching, and the method comprises the steps: constructing a synthetic functional group set, selecting adsorbents based on the synthetic functional group set to obtain a pre-selected adsorbent set, sequentially extracting pre-selected adsorbents from the pre-selected adsorbent set, and extracting the pre-selected adsorbents from the pre-selected adsorbent set; the method comprises the following steps: extracting a pre-selected adsorbent, determining a pre-selected adsorption characteristic parameter group of the extracted pre-selected adsorbent, constructing a simulation model according to the pre-selected adsorption characteristic parameter group to obtain a simulation adsorbent, performing adsorption condition optimization on the extracted pre-selected adsorbent based on the simulation adsorbent to obtain target adsorption data, and summarizing the target adsorption data to obtain a target adsorption data set. According to the method, the efficiency of optimizing the adsorption performance of the CO2 adsorbent can be improved, and the dependence on experimental resources in the optimization process is reduced.

The invention relates to a laser heat treatment control method and device based on visual recognition and application. A laser heat treatment strategy is established; the method comprises the following steps: acquiring a three-dimensional point cloud of a workpiece to be subjected to heat treatment, performing mesh segmentation on the point cloud on a reference projection surface to obtain a plurality of point cloud combinations taking a grid as a unit, and collecting associated information of each point cloud combination; performing heat treatment on the to-be-heat-treated workpiece according to a laser heat treatment strategy, obtaining a dynamic feedback signal, adjusting output power, and realizing heat treatment performance consistency and uniformity control; the equipment comprises a base provided with a position transfer unit, a scanning modeling unit and a heat treatment unit are sequentially arranged on the position transfer unit in the translation direction, a control end controls the position transfer unit to translate and obtains data output by the scanning modeling unit, and after the method is adopted, the heat treatment unit is controlled to execute heat treatment operation; the heat treatment application is realized based on equipment. The quenching efficiency is improved, the quenching integrity and comprehensiveness are ensured, and high-quality and repeatable production can be achieved.

The utility model discloses an automatic real stone paint blending device. The automatic real stone paint blending device comprises a real stone paint blender, an adjusting assembly and a cleaning assembly, according to the automatic real stone paint blending device, the first material pushing frame and the second material pushing frame are arranged at the two ends of the charging barrel in the real stone paint blender, and the side scraping plates are arranged at the two ends of the stirring shaft in the charging barrel, so that the bottom wall and the side wall of the charging barrel can be comprehensively scraped and washed when the real stone paint blender is cleaned, and the comprehensiveness of cleaning is ensured; when the materials are discharged in the charging barrel, the materials adhering to the bottom wall and the side wall of the charging barrel can be scraped off, so that the materials are pushed to the outer end of a discharging opening in the bottom of the charging barrel, and therefore residues in the discharged materials of the charging barrel are reduced, and inclined openings, water cavities and water spraying holes are formed in a first material pushing frame and a second material pushing frame; and through water passing of the water inlet pipe and movement of the first material pushing frame and the second material pushing frame, spraying washing in the scraping washing process of the interior of the material barrel can be carried out, and therefore the cleaning effect on the interior of the material barrel is improved.

The application discloses a kind of characteristic chromatogram detection methods of Qinggan Jieyu granules. After the solvent and microporous filter membrane treatment of Qinggan Jieyu granules, different batches of test solution are obtained, and the chromatogram of each is obtained by preparing the reference solution; the chromatogram of different batches of test solution and reference solution is combined to obtain the characteristic chromatogram and characteristic chromatographic peak of control, and then the relative retention time of the characteristic chromatographic peak and reference berberine hydrochloride peak solution is used to obtain the relative retention time of the control characteristic chromatogram as the specified value; the chromatogram is obtained by detecting the to-be-tested granules, and S peak correction is carried out, and the detection result is obtained by comparing the specified value of relative retention time. The characteristic chromatogram detection method of Qinggan Jieyu granules established by the application is simple in operation, reliable in result, high in stability and precision, and good in repeatability; the characteristic chromatogram of Qinggan Jieyu granules provided by the application can comprehensively and effectively control the quality of the preparation, and ensure the stability, reliability and safety of the preparation.

The utility model relates to the technical field of building heat preservation, and particularly discloses a building outer wall structure which comprises mechanical self-tapping ground anchors used for penetrating through building gridding cloth to reinforce a heat preservation layer of a building outer wall. The mechanical self-tapping anchor comprises a round metal anchor disc, a round metal screw, a round metal screw expansion head, a round metal threaded sleeve and a threaded anti-shaking rod. A round metal screw is fixedly installed in the middle of the round metal anchor disc and fixedly connected with a round metal screw expansion head, and the round metal screw expansion head is far away from the round metal anchor disc. The circular metal threaded sleeve is connected with the circular metal screw rod in a plugging manner; and a plurality of threaded anti-shaking rods are fixedly mounted on the edge of the circular metal anchor disc. Safety accidents caused by a heat preservation layer of a building outer wall after an earthquake can be reduced.

This application discloses a fault injection method, a test case distribution method, and related apparatus. The fault injection method includes: acquiring test cases, wherein the test cases instruct a fault simulation device to execute a corresponding fault; executing the test cases to inject a fault into the hardware device under test; receiving an error code, wherein the error code is generated by a fault detection device on the hardware under test based on a test signal generated by the fault; and determining that fault injection is successful when the error code matches a preset result. Using the method of this application, fully automated fault injection is achieved through a fault simulation device. Compared to manual fault debugging in traditional hardware testing, this method offers higher testing efficiency and significantly reduces labor costs.

The present application relates to the technical field of photovoltaic equipment, and particularly relates to a photovoltaic module waterless cleaning device and system thereof, which comprises a mounting plate frame and photovoltaic panels uniformly mounted on the top of the mounting plate frame, and further comprises a waterless cleaning device arranged on the mounting plate frame, wherein the waterless cleaning device comprises: a smart driving assembly comprising a mounting frame, a controller, a double-shaft motor and a reciprocating conveying mechanism; and a waterless cleaning assembly comprising a mounting roller, a dust thickness detection mechanism, a pressurized air blowing mechanism, a hot spot detection mechanism and a marking mechanism. The present application has a reasonable structure, and the waterless cleaning device is ingeniously driven by the self-generated power of the photovoltaic panels. Through the advanced pressurized air blowing technology, the traditional mechanical water washing and manual wiping methods are efficiently and safely replaced, and the waterless and efficient cleaning of the photovoltaic module is realized. This design not only significantly improves the power generation efficiency of the photovoltaic power station, effectively prolongs the service life of the photovoltaic module, but also greatly reduces the cost and time input of the cleaning operation.

The invention discloses a method and a device for evaluating the capability of a financial large model, a storage medium and electronic equipment, relates to the technical field of model capability evaluation, and mainly aims to solve the problems of incomplete evaluation standards and data sample pollution in the performance evaluation of the financial large model. The method comprises the following steps: selecting basic knowledge in the financial field and related academic texts in the industry as a basic data source to generate a basic corpus; performing decontamination processing on the basic corpus, and constructing an evaluation data set based on the decontaminated basic corpus; creating a plurality of evaluation tasks, and configuring a corresponding prompt instruction for each evaluation task; obtaining a to-be-evaluated financial large model, and evaluating the to-be-evaluated financial large model by adopting the evaluation data set, so that the to-be-evaluated financial large model sequentially executes each evaluation task corresponding to the prompt instruction to obtain an execution result; and calculating an evaluation index based on the execution result corresponding to each evaluation task, and determining the comprehensive capability of the financial large model to be evaluated based on the evaluation index.