330results about How to "Avoid blindness" patented technology

The invention discloses a multi-source heterogeneous data fusion processing and intelligent analysis method, device and equipment, and relates to the field of data fusion processing.The method comprises the steps that firstly, data in data sources of corresponding types are collected through different collection strategies; performing data preprocessing on the collected data to obtain standard data in a unified format; performing data fusion on the standard data based on the structural features of the data to obtain a fused data set; and determining a target analysis model according to the data analysis target, and performing data analysis on the fused data set. According to the method, various types of data formats can be processed, multi-source heterogeneous data fusion is realized, and through data semantic understanding and a feature-based fusion algorithm, the accuracy and quality of data fusion are improved, and correct data association is established on the semantic level.

The invention provides a multi-sealing method and system for a high-vacuum die-casting die based on topological optimization, and relates to the technical field of die structures.The multi-sealing method comprises the steps that a sealing structure parameterized model is established, geometric parameters and boundary conditions of a cavity wall face are obtained, an initial design domain is constructed, and grid units are divided; carrying out topological optimization calculation based on a multi-objective function considering contact stress distribution, and iteratively optimizing the relative density of grid cells by adopting an SIMP method; and according to the obtained topological configuration of the sealing structure, multiple sealing structure design is carried out, a three-dimensional entity model is constructed, and the sealing performance is verified through finite element analysis.

The invention relates to the technical field of screen printing, in particular to a PCB screen printing ink layer thickness uniformity control method, system and device and a medium. The method comprises the following steps: firstly, collecting ink layer actual thickness data and screen tension data of a PCB screen printing area, then analyzing the relevance between the two data to obtain an ink layer uniformity analysis result, further determining proper compensation parameters through process compensation analysis, finally dynamically adjusting screen printing pressure, scraper angle and printing speed, bringing screen tension into a control system, and finally, controlling the screen printing uniformity. Compared with the prior art, the method has the advantages that the adaptability and the reliability are higher, and the product yield can be improved.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the testis size character of Hu sheep as well as a screening method and application of the SNP molecular marker, and belongs to the fields of genetic breeding and molecular biology. The marker is located in an intron region of a Hu sheep chromosome 3 LRRIQ1 gene and is remarkably related to the Hu sheep testis size character, and the accuracy and reliability of the SNP molecular marker are ensured through a scientific and rigorous screening method; according to the marker, Hu sheep individuals related to testis size characters can be rapidly and accurately screened out, the breeding efficiency and accuracy are improved, the breeding process is accelerated, the breeding cost is reduced, and the economic benefits are improved; the genetic diversity is protected, the accuracy of seminal fluid quality evaluation is improved, a powerful tool is provided for Hu sheep breeding work, and important basic data is also provided for researching a genetic mechanism of testis development and functions; the method can also be used as an auxiliary diagnosis tool to assist in identifying potential genetic defects or disease risks and promote progress and development of the breeding technology.

The invention discloses an intelligent anesthesia depth monitoring system and method, and relates to the technical field of medical anesthesia, and the method is characterized in that through real-time data acquisition of an ultrasonic system and an electromyography instrument, nerve surrounding tissue data of shoulder and arm parts are accurately acquired. And inputting data of tissues around nerves into a real-time anesthesia depth calculation formula to calculate a real-time anesthesia depth Dreal, carrying out preliminary comparison on the real-time anesthesia depth Dreal and a target anesthesia depth Dtarget to obtain an anesthesia depth difference degree D, and evaluating a current anesthesia injection effect in real time. And based on the preliminary evaluation result, executing an anesthetic injection rate adjustment mechanism, and dynamically adjusting the anesthetic injection rate Radj (t) at the current time t to ensure that the anesthetic amount is accurately adjusted along with the change of the physiological state of the patient. Through the real-time dynamic adjustment mechanism, the anesthetic dosage control flexibility is improved, and continuous and stable anesthesia depth of a patient is ensured.

The invention relates to the technical field of sewage traceability positioning, and discloses a sewage traceability positioning method and device for carbon nitrogen ratio imbalance. The method comprises the following steps: performing carbon-nitrogen ratio standard curve deviation calculation and data dimension reduction processing on carbon-nitrogen space-time attenuation data to obtain carbon-nitrogen imbalance feature vector data; performing pipe network connectivity calculation and transmission path analysis on the coordinate data of the multi-level sewage system to obtain migration trajectory data of carbon and nitrogen pollutants; performing multi-dimensional data fusion on the carbon-nitrogen imbalance feature vector data and the carbon-nitrogen pollutant migration trajectory data to obtain spatial distribution data of the carbon-nitrogen imbalance pipe section; and carrying out pollution contribution calculation and region boundary identification on the spatial distribution data to obtain position region data of a carbon-nitrogen ratio abnormal source. According to the method, correlation analysis of the carbon and nitrogen space-time attenuation characteristics and the pipe network connectivity is established, and data dimension reduction and space analysis technologies are combined, so that the problem region range can be quickly reduced, and a more accurate tracing positioning result can be provided.

The invention belongs to the technical field of task scheduling, and provides an artificial intelligence task scheduling method based on deep learning, which comprises the following steps: analyzing and processing a task by using a deep learning algorithm, performing deep learning and processing on the task based on performance data to obtain a task evaluation value, grading the task according to the task evaluation value, and performing task scheduling. The method comprises the following steps: acquiring task data based on comparison of a task evaluation value and a task evaluation standard value, acquiring a task completion value and an advanced task completion value based on the task data, processing to obtain an advanced performance value, comparing the advanced performance value with an advanced performance threshold value, marking a worker according to a comparison result, and marking the worker according to the comparison of the advanced performance value. And comparing the number of the high-level tasks with the number of the high-level personnel to obtain an optimized scheduling value, carrying out combined analysis on the optimized scheduling value YH and the high-level performance value BX to obtain an optimized scheduling coefficient, redistributing the high-level tasks according to the optimized scheduling coefficient, and establishing a redistribution task library.

The invention relates to the technical field of cross-border e-commerce commodity operation, and provides a commodity operation management method and system applied to cross-border e-commerce, and the method comprises the steps: carrying out the data division of commodity operation data, obtaining a divided data set, carrying out the data set optimization of the divided data set, and obtaining an optimized data set; performing multi-source analysis on the commodity operation data, and constructing an operation network of the operation commodity; querying potential users operating commodities, extracting target potential users from the potential users, constructing a screening matrix of the target potential users, and performing user screening on the target potential users to obtain screened users; and carrying out user updating on the screened users to obtain updated users, constructing an initial operation strategy of the operation commodity, carrying out supply risk assessment on a target operation user to obtain an assessment result, and constructing a commodity operation management strategy of cross-border e-commerce. According to the invention, high efficiency of commodity operation management can be improved.

The invention provides a near-wind-field power transmission line hardware fitting operation state intelligent diagnosis method and system, and relates to the technical field of power transmission line operation monitoring. Comprising the steps of calculating a first influence factor and a second influence factor of a transmission line fitting use state; determining an initial diagnosis threshold of the use state of the power transmission line fitting; calculating a power transmission line hardware fitting use state diagnosis threshold value influence factor, and determining a power transmission line hardware fitting use state diagnosis threshold value; and acquiring a transmission line fitting operation characteristic data set, calculating a fitting operation characteristic evaluation value, and judging whether the transmission line fitting use state is qualified in combination with the transmission line fitting use state diagnosis threshold. According to the method, a comprehensive, dynamic and accurate power transmission line fitting use state diagnosis threshold value with a customized property is determined from the three aspects of environment microclimate, fitting characteristic data and near wind field wind power characteristics of the power transmission line fitting, and more scientific and reasonable fitting maintenance is realized.

The invention relates to the technical field of three-dimensional scanning, in particular to a method for determining a three-dimensional scanning distance and range under a given precision condition, which determines the precision of a three-dimensional scanner within a specified range under different distances through a calibration test and detailed data analysis of a system, provides reliable scanning parameter selection, and improves the accuracy of the three-dimensional scanning distance and range. The method is widely applied to the fields of building measurement, industrial detection, cultural heritage protection and the like; according to the method, subjectivity and blindness of scanning parameter selection are avoided through a scientific parameter selection method, meanwhile, the working efficiency of scanning operation is improved, accidental errors are reduced through multiple tests and data averaging processing, comprehensive data are provided, influence factors and rules of scanning precision are clarified, the scanning process is optimized, and the scanning accuracy is improved. The efficiency and the result precision are improved, and the problem that the precision reliability of an existing three-dimensional scanning system in practical application is limited is solved.

The invention relates to the technical field of compound extraction, in particular to a control method and system for ultrasonic-assisted extraction of high-purity flavonoid compounds. According to the method, preparation conditions are optimized according to material characteristics, then ultrasonic treatment is carried out by adopting a segmented control strategy, meanwhile, the extraction process is tracked in real time through chromatographic detection, process parameters are adjusted in time based on the change trend of an efficiency curve, blindness of a traditional fixed parameter control mode is avoided, and the efficiency is improved. Through intelligent dynamic adjustment, the energy utilization efficiency is remarkably improved, excessive degradation of effective components is effectively prevented, and the control accuracy of the extraction process is improved.

The invention discloses a method for improving plant polyploidy induction rate and obtaining polyploidy based on leaf bud primordium cell cycle synchronization. The method comprises the following steps: carrying out pre-differentiation culture on an explant induction material; performing cell cycle synchronization excitation treatment on the leaf bud primordium cells obtained by the pre-differentiation treatment; and performing chromosome doubling treatment on the explant induction material subjected to the cell cycle synchronization excitation treatment. According to the method disclosed by the invention, an EdU staining labeling method and a flow cytometry are used for accurately judging the time for carrying out cell cycle synchronization excitation treatment on leaf bud primordium cells of an induction material, and carrying out synchronization excitation and doubling induction on the induction material in time; the dosage of a cell cycle inhibitor for synchronous excitation treatment is accurate, the treatment opportunity is accurate, the treatment duration is proper, and the polyploidy inductivity of the plant is remarkably improved; the obtained polyploidy plant is good in stability, and the method is high in repeatability.

The invention relates to the field of fat reduction training management, in particular to a fat reduction training management method and device based on big data and electronic equipment. A deep learning-based artificial intelligence technology is adopted to carry out data analysis on body composition data of a monitored object and a fat-reducing training scheme, a time sequence dynamic change mode of body compositions of the monitored object and deep semantic information of the fat-reducing training scheme are mined, and then based on semantic offset between the time sequence dynamic change mode and the deep semantic information, the fat-reducing training scheme of the monitored object is obtained. And intelligently judging whether the fat-reducing training scheme needs to be adjusted or not. Thus, blindness and low efficiency of a traditional fat reduction method can be effectively avoided, customized fat reduction training suggestions are provided for the monitored object, and it is ensured that the fat reduction process is more scientific, accurate and efficient.

The invention discloses a fault detection system for power distribution equipment, and relates to the technical field of fault detection, and the system comprises a power distribution equipment prior data acquisition module, a power distribution equipment fault item evaluation module, an unmanned aerial vehicle building module, a fault detection execution terminal and a database. And the pre-estimated fault item set of the transformer in the region is determined, the fault of the high-altitude transformer is predicted, and data support is provided for follow-up targeted inspection of the transformer in the region. Based on regional transformer group tags, each detection route in the region is generated, blindness of transformer inspection is avoided, the fault detection efficiency of subsequent transformers is improved, the frequency of power grid faults is reduced, convenience of high-altitude transformer inspection by the unmanned aerial vehicle is improved, redundancy of sensors carried by the unmanned aerial vehicle is also avoided, and the reliability of transformer inspection is improved. Operation load of the unmanned aerial vehicle is reduced, and use efficiency and service life of the unmanned aerial vehicle are guaranteed.

The invention discloses a method and a system for screening crab cactus varieties. The method comprises the following steps: receiving respective character data information of crab cactus germplasm resources input by a user; the character data information comprises each character and an attribute value corresponding to each character; based on the deployed evaluation model and the character data information, scoring each character of the germplasm resources of the crab cactus to obtain a scoring result; obtaining a weight corresponding to each character based on each layer weight of a sub-target layer, a constraint layer and a standard layer of the evaluation model; and screening good varieties in the germplasm resources of the crab cactus according to the weight and the scoring result to obtain a target germplasm resource of the crab cactus. According to the method, screening blindness is avoided, and the accuracy of screening excellent germplasm resources of the crab cactus is improved.

The invention relates to a vulnerability analysis method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring a first data packet generated based on a network protocol to be analyzed in a cloud network, and analyzing the first data packet to determine a second data packet generated based on an unknown protocol in the first data packet; observing a message header field of the second data packet based on a hidden Markov model, and constructing a state machine model of the unknown protocol according to a plurality of observed states; generating a protocol format description file of the unknown protocol according to the content recorded by the state machine model; and generating a test case according to the protocol format description file, and analyzing vulnerabilities in the unknown protocol based on the test case. By adopting the method, vulnerability analysis of the self-developed proprietary protocol of the cloud computer can be realized, so that the use security of the cloud computer is improved by utilizing the vulnerabilities.

The invention discloses a stay wire connector processing method based on automation, and relates to the field of automation control, and the method comprises the steps: obtaining the point cloud data of a wedge-shaped connector physical model; real-time data in the machining process of the wedge-shaped connector is collected through a sensor; preprocessing the point cloud data; reconstructing a three-dimensional model of the wedge-shaped joint by using the processed point cloud data, and extracting geometric parameters of the wedge-shaped joint from the three-dimensional model; according to the collected real-time data, a physical model of the wedge-shaped connector machining process is established; according to the three-dimensional model, a tool machining motion path is generated through computer aided manufacturing software; a self-adaptive particle swarm optimization algorithm is adopted to optimize a tool machining motion path; and the optimized tool machining motion path is converted into a G code recognized by a numerical control machine tool, and the numerical control machine is controlled to machine the wedge-shaped connector. The machining precision of the wedge-shaped connector is improved by aiming at the low machining precision of the wedge-shaped connector in the prior art.

The invention discloses an equipment operation and maintenance fault checking method and device, equipment and a medium. Through the pre-trained equipment fault diagnosis model, in combination with the real-time operation data, the historical fault case and the instruction template, the fault reason of the to-be-analyzed equipment can be quickly positioned, the maintenance suggestion is determined, the troubleshooting efficiency is improved, the time required by manual troubleshooting is reduced, and the overall operation and maintenance efficiency is improved. Through the reasoning layer in the equipment fault diagnosis model, the target troubleshooting thinking chain can be determined based on the input troubleshooting prompt, and the troubleshooting problem and the execution relation of each level are determined, so that the diagnosis process is organized and clear, and redundant and repeated troubleshooting work is reduced. The real-time operation data is checked in sequence according to the execution relation through the grading processing layer in the equipment fault diagnosis model, the fault problem can be quickly locked, and blindness and low efficiency of traditional manual checking are avoided. And the equipment fault removal knowledge base provides powerful knowledge support for fault diagnosis.

The invention discloses a Fluent-based numerical simulation and experimental design method for shaking of liquid in a tank of a tank truck, and belongs to the technical field of numerical simulation of fluid dynamics (CFD). The method includes the steps that the hole opening position of the wave-proof plate serves as an independent variable, multiple hole opening position schemes are designed, liquid shaking related indexes are determined to serve as dependent variables, a geometric model is established according to the actual structure of a tank truck tank body, a fluid mechanics model and boundary conditions are set, a solver is configured, output parameters and numerical simulation initial values are set, and an experiment is executed. The liquid shaking process of a certain swash plate trepanning scheme is simulated, acting force data, namely shaking index data, between liquid shaking and the inner wall of the tank body is recorded, the advantages and disadvantages of each trepanning position scheme are evaluated based on the shaking index data, and the optimal scheme is determined. According to the method, a real object experiment is replaced by CFD numerical simulation, parameter setting is carried out, the experiment cost and the experiment risk are remarkably reduced, the experiment efficiency is improved, and data support can be provided for industry design.

The invention discloses a port microgrid energy storage and transfer vehicle capacity configuration method and system. The method mainly comprises three aspects: firstly, feature extraction of port electricity load data is realized by a K-means clustering analysis method based on SVD and KL divergence; and establishing a transfer vehicle working model according to the operation characteristics of the port transfer vehicle. And finally, establishing a double-layer optimization model of energy storage and transfer vehicle capacity configuration by taking the minimum operation cost of the port micro-grid as an upper-layer optimization target and the maximum utilization rate of the port new energy as a lower-layer target. The method has the outstanding advantages of being good in optimization effect, environmentally friendly, high in efficiency, high in reliability and the like.

The invention discloses a physical wind tunnel pressure measurement test optimization method based on CFD-AI and a storage medium. The method comprises the following steps: completing wind load measurement point arrangement after segmentation based on a parameterized modeling platform, and completing curved surface partitioning; establishing a CFD numerical wind tunnel calculation model, performing CFD full wind direction angle calculation, and extracting building surface measuring point wind pressure and local shape coefficients corresponding to all wind direction angles; in combination with the local shape coefficient and the three-dimensional building model, performing machine learning clustering analysis on the measuring points to form an optimized measuring point arrangement scheme; curved surface partitions are updated based on an optimized measuring point arrangement scheme and a Thiessen polygon, and a physical wind tunnel test is carried out; and integrating wind load analysis results of the physical wind tunnel and the CFD numerical wind tunnel, marking a wind pressure hyper-standard region, and calculating and outputting an overall shape coefficient in combination with a curved surface partition area and a local shape coefficient. The objective of the invention is to improve the problems of high pressure test cost, too long test data processing time and incapability of achieving engineering practical application of test efficiency and data accuracy in a physical wind tunnel test.

The utility model relates to the technical field of bus stop boards, and provides an LED bus stop board which comprises a board body, a first sun shield arranged at the top of the board body, a solar assembly, a cleaning mechanism arranged on the board body and an LED display screen arranged in the board body. The cleaning mechanism comprises a first screw rod and a second screw rod which are vertically arranged in the plate body, a transmission mechanism connected between the first screw rod and the second screw rod, a first motor for driving the first screw rod to rotate, two sliding blocks which are in threaded connection with the first screw rod and the second screw rod respectively, and a cleaning brush connected between the two sliding blocks; sliding grooves are formed in the two sides of the plate body, the sliding blocks extend out of the sliding grooves, the cleaning brush makes contact with the surface of the plate body, the solar assembly supplies power to the LED display screen and the first motor, a long groove is formed in the plate body, and the cleaning brush can enter the long groove. The bus stop board solves the technical problems that an existing bus stop board needs to be cleaned manually, time and labor are wasted, and sunshade for passengers waiting for buses is inconvenient.

The invention provides a diabetic patient life management method and system in combination with traditional Chinese medicine knowledge, and relates to the field of medical health data processing, the method comprises the following steps: obtaining multiple groups of sample data, the sample data at least comprising personal information of sample patients and diabetic traditional Chinese medicine syndromes, and the personal information of the sample patients at least comprising diabetes index data; based on the multiple groups of sample data, multiple key traditional Chinese medicine syndrome discrimination units are determined, and a diabetes traditional Chinese medicine syndrome diagnosis scale is generated; based on the multiple groups of sample data, determining music types matched with different diabetes mellitus traditional Chinese medicine syndromes; determining the diabetic traditional Chinese medicine syndrome of the current user based on the personal information of the current user and the filling information of the diabetic traditional Chinese medicine syndrome diagnosis scale; based on the diabetic traditional Chinese medicine syndromes of the current user and the music types matched with different diabetic traditional Chinese medicine syndromes, music, traditional Chinese medicine health maintenance skills and traditional Chinese medicine recipes are recommended, and the method has the advantage of improving the quality of life management of diabetic patients.

The invention relates to a regulation and control method and system for mine fireproof doors, a terminal and a medium, and belongs to the technical field of mine fireproofing. The regulation and control method comprises the steps that sensing data sent by sensors around each fireproof door are received; according to the multiple sets of sensing data, whether a fire occurs in the mine or not is judged; if yes, determining a target fireproof door according to the fire spreading area; acquiring personnel position information of workers around the target fireproof door; based on the personnel position information, whether a worker is on a fire spreading path and is located between the target fireproof door and a fire spreading boundary is judged; if yes, the closing degree of the target fireproof door is controlled according to the spreading speed of the fire; if not, the closing degree of the target fireproof door is controlled according to the fire behavior of the fire. The intelligent monitoring management system has the beneficial effect that intelligent monitoring management of the fireproof door can be conveniently realized according to the field environment.

The invention discloses a sewage treatment intelligent monitoring system and method based on big data. The system comprises a data acquisition module, a sample acquisition module, a detection module, a data screening module, a database module, a data processing module and a data output module. The sample collection module is used for analyzing sewage pool parameter information and historical detection data to determine a sample collection point location; the detection module is used for detecting a to-be-detected sample; the data screening module is used for screening the index data according to the real-time data information; the method comprises the following steps: acquiring historical detection data of each detection index in sewage, analyzing the longitudinal distribution state and concentration degree of each detection index in a sewage pool, and judging the distribution state and distribution characteristics of each detection index in the sewage pool; in the sampling process, sampling is carried out in a targeted mode according to the characteristics of all the detection indexes, blindness of random sampling is avoided, representative sample data are obtained, and therefore the monitoring accuracy and reliability of the system are improved.

The invention discloses a concrete crack detection method, and relates to the technical field of concrete detection.The concrete crack detection method comprises the steps of S1, concrete monitoring area screening, S2, detection method screening, S3, concrete crack detection and S4, display processing.According to the concrete crack detection method, the area where cracks are likely to appear is detected in a targeted mode, the concrete crack detection efficiency is improved, and the detection accuracy is improved. Further deterioration of concrete cracks is prevented, so that the service life of a building is prolonged. According to the method, the suitable detection method of each crack detection area of the target building is screened, blindness of selection of the detection method of each crack area of the target building is avoided, the crack detection accuracy of the target building is improved, and a foundation is laid for analysis of a subsequent maintenance method. The crack maintenance report is generated, the concrete crack treatment accuracy is improved, the concrete crack maintenance effect is guaranteed, and resource waste is avoided to a certain extent.

The invention relates to the technical field of oil and gas field yield increase and transformation, in particular to a tight reservoir vertical well group fracturing optimization design method which comprises the following steps: collecting geological data and engineering data of a fracturing target block; a vertical well fracturing crack stress disturbance mathematical model is established, and reservoir disturbance stress distribution is simulated; establishing a crack support crack width attenuation mathematical model, and simulating a change rule of the support crack width along with time; combining engineering data with the stress disturbance mathematical model to determine a well group combination mode and a multi-well fracturing sequence of vertical well group fracturing; and based on the result of the fourth step, the fracturing time interval between the vertical wells in the well group is designed by combining the supporting seam width attenuation mathematical model. According to the method, the problems of well group combination mode, multi-well fracturing sequence, fracturing time interval and the like during tight reservoir vertical well group fracturing construction design are effectively solved, steering extension of fracturing cracks is achieved, the fracturing transformation effect of a reservoir is improved, and therefore the oil and gas yield of a single well is increased.

The invention provides a cooperative path planning method for searching and tracking an underwater target by a multi-USV unmanned cluster, and the method comprises the steps: introducing a pose-control quantity-time to carry out the three-dimensional double-chain coding of a population in an improved genetic algorithm, enabling a control instruction and an accurate execution timestamp to serve as a genetic gene, and enabling the control instruction and the precise execution timestamp to serve as a genetic gene in the crossover and mutation operation, timestamps, control quantities and poses are transmitted synchronously, and it is ensured that offspring individuals can inherit an excellent cooperation mode of a parent; during population initialization, USV is guided to preferentially cover a high-value region through region division and weighted Gaussian distribution, so that blindness caused by random initialization of a traditional genetic algorithm is overcome, and invalid search is avoided; a target for avoiding secondary search is designed in a fitness function, and repeated access to recently searched areas is quantified by introducing a concept of confidence time intervals, so that an algorithm actively explores unexplored water areas, waste of search resources is avoided, and accuracy and planning efficiency of multi-USV collaborative path planning are improved.

The application discloses a sludge biological drying multi-target proteinase regulation method based on bacterial chemotaxis, relates to the technical field of sludge resource disposal, and comprises the following steps: S1, constructing a microfluidic detection system based on the chemotaxis of thermophilic bacteria, and monitoring and quantifying the metabolic preference degree of the thermophilic bacteria to different amino acids in a sludge biological drying process; S2, selecting and proportioning proteinases with a targeted degradation function according to the metabolic preference degree of the thermophilic bacteria; and S3, decomposing refractory proteins into specific amino acids preferred by the thermophilic bacteria through multi-target regulation of the proteinases. The application optimizes the metabolic environment of the thermophilic bacteria to improve the utilization rate of protein organic matter and accelerate the sludge biological drying process.

The invention relates to the technical field of data processing, and particularly provides a manufacturing industry energy-saving and efficiency-increasing scheme generation method, system and equipment and a storage medium, and the method comprises the steps: collecting the operation state data, energy consumption data and real-time working condition data of industrial equipment in real time through an equipment monitoring module; preprocessing the collected data, establishing an energy efficiency reference, calculating a key energy efficiency index based on the energy efficiency reference to judge the energy efficiency state of the equipment, and executing multi-dimensional root cause analysis when the energy efficiency state is abnormal; according to the energy efficiency state and a root cause analysis result, matching and filtering applicable technical schemes from a technical unit library, and performing quantitative evaluation and comprehensive sorting on the technical schemes to generate a preferential transformation scheme list; and an energy efficiency analysis result is fed back to the equipment monitoring module for state early warning, and a customized proposal is generated based on the transformation scheme. According to the invention, the systematization and automation of industrial energy-saving management are realized by constructing a full-link closed loop generated by data perception, intelligent diagnosis and decision.