36results about How to "Avoid consistency" patented technology

The invention provides a dual-frequency single-port intermodulation tester, and the tester comprises an intermodulation control module which comprises an intermodulation controller, a first frequency source and a second frequency source, and the intermodulation controller controls the first frequency source and the second frequency source to generate two carrier signals with different frequencies through receiving a configuration instruction; and the multiplexer module comprises a plurality of power amplifier modules and a multiplexer, the plurality of power amplifier modules are used for amplifying the two paths of carrier signals, synthesizing the two paths of carrier signals through the multiplexer, outputting the synthesized two paths of carrier signals to a tested piece, and receiving and processing intermodulation products reflected back from the tested piece at the same time. According to the invention, the accuracy, the integration level and the field applicability of the intermodulation test are effectively improved.

This invention provides a model context protocol invocation method and related apparatus based on edge-cloud collaboration, relating to the field of distributed system technology in cloud computing and edge computing. It generates a rollbackable workflow through a cloud-based MCP-Client, establishes a WebSocket connection with the user terminal, and sequentially sends multiple execution steps in the rollbackable workflow to the user terminal one step at a time. For each execution step, if the execution result is a failure, it rolls back to a specified rollback anchor point and dynamically replans the unexecuted steps based on the current state. This invention allows the cloud to dynamically adjust subsequent execution plans based on intermediate results through independently executable steps. The rollbackable workflow data format reduces the overhead of manual intervention and full retries, avoiding execution deviations and data inconsistencies. The use of WebSocket reduces latency and improves the real-time performance and interactivity of task scheduling.

This utility model discloses a miniature ball bearing for a cooling fan, comprising an outer ring, an inner ring, a cage, a dust cover, and rolling elements movably disposed between the outer and inner rings. Both the inner and outer peripheral walls of the outer ring and the inner ring have circumferentially formed grooves for the rolling elements to move. Both ends of the inner peripheral wall of the outer ring have circumferentially formed stepped grooves for installing the dust cover. The connections between the grooves of the inner ring and the outer peripheral wall of the inner ring, and between the grooves of the outer ring and the inner peripheral wall of the outer ring, have chamfered edges. A retaining spring is provided in the stepped groove for an interference fit with the stepped groove. The inner wall of the retaining spring abuts against the outer wall of the dust cover, while the outer peripheral wall of the dust cover has a clearance fit with the inner peripheral wall of the stepped groove. The curvature coefficient of the grooves of the outer ring is greater than that of the grooves of the inner ring. This utility model solves the problems of traditional miniature ball bearings, such as increased bearing ellipticity due to dust cover installation leading to out-of-tolerance bearing ellipticity, and assembly damage during rolling element installation leading to unqualified rolling element vibration during bearing operation.

The application discloses an emotion speech generation method, system, device, storage medium and program product, relates to the technical field of speech synthesis, and comprises the following steps: obtaining target emotion parameters, and determining corresponding target emotion coordinates in a three-dimensional continuous emotion dimension space; generating candidate speech by using a speech synthesis model; determining an emotion reward value based on the deviation between the emotion coordinates of the candidate speech in the three-dimensional continuous emotion dimension space and the target emotion coordinates, in combination with a tolerance margin and a weight vector of each emotion dimension; and performing strategy optimization on the speech synthesis model based on the emotion reward value and a content reward value and / or a sound quality reward value, so as to generate speech corresponding to an emotion intensity. The scheme is based on a continuous VAD emotion space, realizes decoupled fine regulation and control of the emotion intensity, generates high-fidelity and highly controllable emotion speech through an emotion reward guide model, takes into account naturalness and content intelligibility, and avoids distortion and inconsistent expression caused by discrete labels.

This application provides an electrode chamfering die, which includes a first chamfering upper mounting plate, a first chamfering pressure plate, a first chamfering punch, a first chamfering die, and a first chamfering lower mounting plate. The first chamfering pressure plate and the first chamfering punch are both mounted on the first chamfering upper mounting plate, and the first chamfering die is mounted on the first chamfering lower mounting plate. During operation, the first chamfering pressure plate first clamps and fixes the electrode to prevent displacement or deformation during processing. Subsequently, the first chamfering punch moves downward under the drive of a power device, cooperating with the first chamfering die mounted on the first chamfering lower mounting plate to round the sides of the electrode. Due to the tight fit between the first chamfering punch and the first chamfering die, and the fixing effect of the first chamfering pressure plate, the consistency and accuracy of the chamfering dimensions are ensured, effectively improving the precision and quality of electrode processing.

The utility model discloses an automatic production aluminum bolt waxing device which comprises a base, a feeding mechanism is installed on the inner side of the base, a grabbing mechanical arm is installed on the side, on the feeding mechanism, of the base, an automatic liquid level control device is installed in the base, and a conveying mechanism is arranged on the outer side of the base. Transplanting mechanisms are mounted at the input end and the output end of the conveying mechanism, a heating curing device is mounted between the transplanting mechanisms on the two sides of the conveying mechanism, the heating curing device is arranged on one side of the base, product wobble plates are conveyed on the conveying mechanism, and the output end of the conveying mechanism is connected with a wobble plate collecting mechanism. According to the utility model, automatic operation is realized, compared with a manual process, the production efficiency is greatly improved, meanwhile, the phenomena of poorer product precision and poorer consistency caused by manual operation are avoided, automatic control is realized in the whole process, manual intervention is reduced, the labor intensity is reduced, and the stability and the reliability of production are improved.

The invention provides a steam generator heat transfer tube wear prediction and intelligent tube blocking method and system. The method comprises the steps that flow fields, vibration fields and wear databases of a heat transfer tube under different working conditions and positions are constructed through analogue simulation and real overhaul data of a nuclear power plant; constructing a training sample based on the constructed flow fields, vibration fields and wear databases of the heat transfer tube under different working conditions and positions; respectively training the flow field prediction model, the vibration field prediction model and the wear coefficient prediction model; during the unit overhaul period, operation data of a steam generator, position information of each heat transfer pipe and a supporting plate and corresponding abrasion data are obtained; respectively carrying out pretreatment; utilizing the trained flow field prediction model, vibration field prediction model and wear coefficient prediction model to predict the wear depth during the next overhaul; and judging whether the predicted wear depth during the next overhaul reaches or exceeds a set threshold value, and triggering and controlling the automatic pipe plugging operation when the wear depth reaches or exceeds the threshold value.

The application discloses a rule semantic fusion-based large model data verification system and method, and relates to the technical field of data processing and artificial intelligence. The system comprises a data receiving and preprocessing module, an intelligent verification engine module, an abnormality detection and risk assessment module, an execution and linkage module, and a feedback iteration optimization module. The system analyzes multi-source heterogeneous data, outputs verification results through rule compliance and semantic rationality double checking, fuses a four-fold detection mechanism in the abnormality detection module and dynamically weights risk scores, outputs a graded report according to risk levels in the execution module, and continuously optimizes the model and rules based on a time decay mechanism in the feedback module to form a closed loop. The application solves the technical problems of insufficient verification accuracy, difficult automatic arbitration of rule conflicts, poor risk assessment scene adaptability, and abnormality missed detection in the prior art, and improves the intelligentization and self-adaptation level of data verification.

This invention provides a 3D reconstruction method based on structured Gaussian representation and neural kernel fields. Taking multi-view images, camera intrinsic and extrinsic parameters, and point clouds as input, it first constructs and optimizes a structured Gaussian representation, then constructs a neural kernel field for the scene, where sparse voxel meshes and anchor points serve as the basic spatial structure of the kernel function. Features related to the kernel function are learned and predicted through a neural network. This invention introduces a mutual guidance mechanism between the structured Gaussian representation and the neural kernel field to collaboratively optimize the two representations. Finally, the structured Gaussian representation is used for efficient view rendering, outputting a high-precision 3D surface model. This method leverages the compactness and efficiency of structured Gaussian representation in handling large-scale scenes, combined with the scalability and robustness of neural kernel fields in implicit surface learning, to achieve high-quality rendering and reconstruction output, suitable for understanding and applying complex and large-scale 3D scenes.

The utility model belongs to the field of chemical vapor deposition, and particularly relates to a vapor deposition furnace with a gas supplementing function. Comprising a furnace body, an air inlet structure, an air supplementing structure and an air outlet pipe, a deposition chamber is arranged in the furnace body, the upper part of the furnace body is fixedly connected with a gas inlet structure, and the gas inlet structure comprises a gas inlet mixing chamber, a gas inlet pipe and a gas distribution pipe; the upper portion of the air inlet structure is fixedly connected with the air supplementing structure which comprises an air supplementing and mixing chamber, an air supplementing and inlet pipe and a workpiece outer side air supplementing pipe. The gas outlet pipe is arranged at the lower part of the side wall of the furnace body and is communicated with the deposition chamber. According to the air supply device provided by the utility model, through the arrangement of the air supply pipe on the outer side of the workpiece, on one hand, the deposition quality of a coating on the surface of the workpiece to be deposited can be improved, and on the other hand, the deposition quality of the coating on the inner wall surface of the workpiece to be deposited can be ensured.

The invention provides a cell sorting method and system of a decommissioned battery, electronic equipment and a storage medium, and relates to the technical field of battery echelon utilization, the method comprises the following steps: respectively carrying out capacity increment test, charge state test and internal resistance test on a target decommissioned battery to obtain a capacity increment curve, a charge state value and an internal resistance value of each cell; calculating a comprehensive discriminant value of each battery cell according to the target characteristic parameter of the capacity increment curve, and removing the battery cells of which the comprehensive discriminant values are greater than a preset discriminant threshold value to obtain a target battery cell; and according to the charge state value and the internal resistance value of the target battery cell, carrying out battery cell category division to obtain a battery cell sorting result. The battery health degree is quantified through the capacity increment curve, the aged and abnormal battery cells are removed, and the screening precision is improved. And the consistency of the battery cells is comprehensively evaluated by combining the grouped charge state test and the internal resistance test, and the retired battery cells in different aging states are effectively identified.

The invention belongs to the technical field of insulated cable production, and discloses a multi-layer co-extrusion die and multi-layer co-extrusion equipment, the multi-layer co-extrusion die comprises: an inner die body which is constructed into a frustum structure with the diameter gradually reduced from a feeding end to a discharging end, and is coaxially arranged in a manner of sequentially sleeving from inside to outside, and the outer wall of each inner die body is provided with a flow channel; the outer die sleeve is arranged on the periphery of the inner die body in a sleeving mode, at least two inlets are formed in the outer die sleeve, and the at least two inlets communicate with the flow channels of the at least two inner die bodies in a one-to-one correspondence mode; the forming die is connected to the discharging end of the outer die sleeve, and forming cavities matched with the at least two runners are formed in the forming die; the end covers are connected to the feeding end of the outer die sleeve and are coaxially arranged from inside to outside in a sleeved mode in sequence, each end cover comprises an external thread arranged on the outer wall and an internal thread arranged on the inner wall, the adjacent end covers are connected in a screwed mode through the threads, and the feeding ends of the end covers are provided with connecting threads matched with the external threads.

This application discloses a data reconciliation method, apparatus, device, and storage medium, relating to the field of data synchronization. The method includes: acquiring a source reconciliation statement, a source log table, and a source business table provided by a data provider, and a target reconciliation statement, a target log table, and a target business table provided by a data receiver; comparing the source data in the source log table and the source business table based on the data provider's source reconciliation statement to obtain a pre-reconciliation result; synchronizing the source data to the data receiver's target business table based on the pre-reconciliation result; and comparing the obtained data synchronization result with the target data in the target business table based on the source reconciliation statement to obtain a post-reconciliation result. Pre-reconciliation during data synchronization ensures the accuracy of the data provider's business data. Furthermore, the data logs provided by both the data provider and the data receiver allow for rapid identification and location of discrepancies when discrepancies occur, ensuring normal business operation and improving platform stability.

This invention relates to a prosthesis for implantation into bone defects. Specifically, it discloses a cranioplasty component, comprising: a bone flap body for filling a defect in the skull, the bone flap body including a disc-shaped filling body and multiple stimulation units arranged circumferentially between the outer and inner disc surfaces of the filling body, and each stimulation unit being capable of protruding from the sidewall of the filling body through radial movement; a force-applying component for driving each stimulation unit to protrude radially from the sidewall of the filling body, thereby, after the bone flap body fills the defect, the force-applying component drives each stimulation unit to protrude from the sidewall of the filling body, causing the radially outer ends of the stimulation units to press against the sidewall of the defect to stimulate the bone of the sidewall of the defect; and a positioning component for attaching and positioning the bone flap body to the skull.

The invention discloses a device and a method for testing dissolved oxygen and ozone isotopes in water, and belongs to the field of gas stable isotope analysis and testing. Comprising a constant-pressure constant-current automatic sampling device and a gas sampling system, a certain volume of water sample in a sealed sample bottle is removed by using the constant-pressure constant-flow automatic sampling device for dissolved oxygen in water, the water sample is placed in the constant-temperature balance oscillation device for balancing, back flushing of a gas circuit is realized by using the gas sampling system, the influence of residual gas is eliminated, and then the sample is collected and purified. Purified gas passes through a multi-channel gas path switching system, separated oxygen is loaded into a gas stable isotope mass spectrometer, oxygen isotopes of dissolved oxygen are detected, and therefore automatic pretreatment of the dissolved oxygen in water and accurate testing of the three oxygen isotopes of the dissolved oxygen are achieved. According to the method, full-automatic operation is realized, man-made interference and air pollution are effectively avoided, and the detection precision and efficiency are remarkably improved.

The invention relates to an engineering strain for intestinal delivery of a GLP-1 / GIP dual-receptor stimulant and application thereof, the strain takes uracil nutrition deletion type saccharomyces boulardii as a chassis strain, and a polypeptide expression module is integrated in a genome of the chassis strain; the polypeptide expression module comprises a secretory signal peptide coding sequence and a polypeptide coding sequence fused with the secretory signal peptide coding sequence, and the polypeptide coding sequence codes polypeptide formed by connecting a plurality of glucagon-like peptide-1 repetitive units and a plurality of glucose-dependent insulinotropic polypeptide repetitive units in series; restriction enzyme cutting sites which can be cut by yeast endogenous protease are arranged between the adjacent repeating units, so that the polypeptide is cut in a Golgi apparatus or a secretion processing process, and mature GLP-1 agonist and GIP agonist are released. The strain can be orally taken, can continuously control the delivery of GLP-1 / GIP dual agonists in an accurate dosage manner, so that the obesity and metabolic disorder are effectively improved, and the administration compliance and safety are improved.

The invention discloses an anti-falling ultraviolet light curing sewage pipe lining repairing device which comprises a main body, the front end of the main body is fixedly connected with an air bag capable of expanding and shrinking, and an inflation pipeline is arranged in the main body or on the outer side of the main body in the axial direction. The front end of the inflation pipeline is communicated with the air bag in a sealed mode, the rear end of the inflation pipeline is connected with an inflation end arranged at the rear end of the body in a sealed mode, and the inflation end is connected with a pump body. A UV lamp set is fixedly installed in the main body in the axial direction, a plurality of light transmitting holes are formed in the outer wall of the main body in the length direction of the main body, the light transmitting holes and the UV lamp set are correspondingly arranged in the axial direction so as to achieve the light transmitting effect, and a plurality of roller assemblies are rotationally connected to the peripheral face of the main body so as to assist the main body in moving in the pipe body.

The invention discloses a method for screening a high-quality SSR molecular marker based on re-sequencing data. The method comprises the following steps: acquiring reference genome data and whole genome re-sequencing data of a target species; carrying out SSR molecular marker development on the reference genome data to obtain SSR basic site information; based on the whole genome re-sequencing data, executing a variation detection process, and generating a variation record file containing original variation information; and comparing and filtering the SSR basic site information with the variation record file, and screening to obtain the high-quality SSR marker site. According to the invention, genotype analysis of each individual can be carried out by using a small amount of re-sequencing data of a certain species, and a high-quality SSR marker with stable amplification capacity and real polymorphism is obtained through screening, so that early development of the SSR molecular marker with the polymorphism of a certain species is achieved, and the SSR molecular marker is suitable for large-group SSR typing based on re-sequencing.

This invention discloses a multi-level control mode adaptive switching method and system based on task constraints. For different task types, the remote control center issues different task type identifiers and corresponding task constraint strategy information. During the task initiation preparation phase and task execution, the nest-side edge computing controller continuously collects network, task, and UAV status data, dynamically determines the most suitable target control mode, and performs control handover, state synchronization, and instruction semantic level switching when the target control mode is inconsistent with the current control mode. This achieves coordinated and consistent adjustment of control mode, control ownership, task state machine, and instruction semantics. This invention improves the continuity, security, and stability of UAV system task execution under different network conditions and task constraints.

The application provides a bridge structure open semantic encapsulation and multi-format delivery method and device, wherein the method comprises the following steps: analyzing source data of a target bridge structure to determine a plurality of entity objects; constructing a semantic object layer based on metadata, categories and semantic identifiers of the entity objects; constructing an attribute layer based on semantic identifiers and attribute dictionaries of the entity objects; constructing a relationship layer based on logical relationships and relationship types of the entity objects; obtaining a mapping rule set of a target delivery format, and mapping data in the semantic object layer, the attribute layer and the relationship layer into a data table expression form of the target delivery format based on the mapping rule set to obtain a delivery file. The application guarantees the integrity and semantic consistency of objects, attributes and relationships of data when the data circulates between different formats and different platforms, avoids semantic loss and information inconsistency caused by multiple format conversions, and improves the consistency of bridge structure delivery files of different formats.

The application provides a Cache write cache device and a control method thereof, and relates to the technical field of artificial intelligence chips. The device comprises: a write cache table for storing a plurality of write cache entries, each write cache entry corresponding to attribute information of a Cache line; a memory for storing data of the Cache line corresponding to each write cache entry; a write cache control unit for processing storage requests and loading requests based on the write cache table, and for writing the data of the Cache line corresponding to the write cache entry from the memory to a data storage unit when a preset write-back condition is met; a loading request queue for buffering loading request information from a previous execution unit or a previous Cache; and an effective address generation module for generating a corresponding effective write-back address according to a write data effective flag signal recorded in the write cache entry when performing a write-back operation. The application effectively reduces the write-back pressure on the lower-level storage, eliminates the structural blockage of the storage backend to the computing frontend, and significantly improves the overall memory access efficiency and computing throughput.

The application provides a kind of animation style virtual person animation real-time generation method and system, comprising: extracting multidimensional style features from animation reference map, wherein multidimensional style features include line drawing features, color features, texture features and character form features;From real-time captured portrait video, extract portrait key point sequence and interactive object sequence, and generate dynamic semantic identity anchor point stream according to interactive object sequence;With portrait key point sequence as structural constraint condition, with multidimensional style features as global guidance, dynamic semantic identity anchor point stream is embedded into latent space as hidden variable constraint, and controlled diffusion reasoning is carried out in latent space, to obtain animation latent feature frame sequence;Three-dimensional causal decoding and time domain smoothing filtering are carried out on animation feature frame sequence, to obtain smooth animation frame sequence;Real-time style feedback and style correction are carried out on smooth animation frame sequence, to obtain virtual person animation.

A box for transporting various products comprises a prismatic body and a closing cover formed by a multilayered material (10) including an intermediate thermal insulation board (11) with an inner face and an outer face provided with an inner coating (12) and an outer coating (13). The inner coating (12) comprises a paper sheet (121) attached to the inner face of the intermediate board (11) and a stiffening and waterproof sheet (122) that forms the inner surface of the body and the cover. The outer coating (13) comprises - a first layer (131) made of strong printed paper or strong paper suitable for printing; - a second paper layer (132); and - a flexible and waterproof sheet (133) made of recyclable polymer and arranged between the first and the second paper layers

The present application relates to the technical field of medical image segmentation, in particular to a pancreatic tumor sub-region segmentation method based on hierarchical prior learning and constraint clustering, which introduces expert-annotated sparse prior knowledge to guide the clustering process, forms a two-stage algorithm framework of hierarchical prior learning-constraint clustering, combines the advantages of data-driven and knowledge-driven, realizes that even if the expert annotation is sparse, the algorithm can also learn the distribution rule and generalize to the whole tumor for robust segmentation, and the constraint condition avoids the problems of meaningless small fragments or inconsistent class numbers, ensures the stability and consistency of the segmentation result on a large-scale data set, is a key prerequisite for subsequent quantitative calculation of tumor heterogeneity index and construction of accurate preoperative grading model, ensures that the extracted heterogeneity features truly reflect the biological nature of the tumor from the source, thereby significantly improving the performance of downstream tasks.

A method for counting personnel entering and exiting a coal mine based on combined target tracking includes the following steps: the counting system is started and enters the working state; a bounding box of the mine entrance area in the video surveillance is selected; the corresponding video stream is captured from the obtained surveillance video; the output personnel detection location box and safety helmet detection location box are input into the personnel tracking module, and the target tracking sequence of personnel and the target tracking sequence of safety helmets are output; the position status of the safety helmet is used to assist the matching score of personnel tracking; the IOA between the personnel location detection box and the mine entrance area in each frame of the target tracking sequence of each personnel is calculated; the IOA between the safety helmet location detection box and the mine entrance area in each frame of the target tracking sequence of each safety helmet is calculated; the calculation results are used to define whether each personnel and safety helmet have entered the mine; and the number of people entering and exiting the mine is counted based on the matching results.

The invention belongs to the technical field of communication networks, and provides a communication loop fault detection method in a communication network, which comprises the following steps of: starting a link layer neighbor discovery protocol at each physical port of looped network node equipment, and acquiring an opposite-end neighbor equipment identifier and a port identifier which are actually connected with each port; progressive faults such as laser aging and emission light power degradation can be found in time by monitoring the sending light power value of the optical module and the bias current value of the laser in real time, the blind area that a traditional detection mechanism only depends on receiving light power monitoring is broken through, meanwhile, a secondary verification mechanism is arranged, and after degradation of the optical module is monitored, the detection accuracy is improved. According to the method, protection switching is not executed immediately, and whether the link has an actual bidirectional communication fault is further verified through the bidirectional connectivity detection protocol, so that misjudgment caused by short-time fluctuation of parameters of the optical module is effectively avoided, early warning of potential faults is realized, and the reliability of the optical module is improved. And the stability of the network when the optical module is degraded but the link can still perform normal communication is ensured.

The invention discloses a lymphedema limb volume measurement data management system and method based on big data, and particularly relates to the technical field of measurement data management. The method comprises the following steps: extracting modal offset characteristic parameters representing measurement physical hypothesis differences, establishing an inter-modal volume offset description relationship, realizing quantitative description of cross-modal volume offset, and carrying out conjoint analysis on the volume offset description relationship and historical follow-up volume change data of a patient to obtain a volume offset result. A systematic volume offset section caused by measurement mode switching can be automatically identified under the condition of no manual intervention, and the systematic volume offset section and a real limb swelling change section are distinguished and marked, so that the confusion of measurement errors and illness state changes is effectively avoided; and a unified volume reference index is established, and a cross-measurement-mode volume mapping and traceable management relationship is constructed.

A multi-agent context sharing method, system, and medium are disclosed, comprising: parsing the context content output by a first agent to generate corresponding metadata; associating the context content with the corresponding metadata and storing it in a distributed cache; establishing a topic set indexed by a session identifier in the distributed cache and adding the topic identifiers to the topic set; responding to a task to be executed by a second agent, obtaining the topic set corresponding to the current session identifier, reading the topic descriptions corresponding to each topic identifier in the topic set, and generating a list of topic descriptions; inputting the task to be executed and the corresponding list of topic descriptions into a large language model, receiving the topic identifier set returned by the large language model as the target topic identifiers semantically related to the task to be executed; and reading the corresponding context content from the distributed cache according to the target topic identifiers, associating the context content with the task to be executed, and inputting it into the second agent.

The application discloses a kind of intelligent building lighting and sunshade linkage adaptive adjustment method and system, it is related to building intelligent control technical field, the method includes: through indoor and outdoor light data acquisition by illumination sensor, calculate and preset comfort range's light deviation value;According to light deviation value and outdoor light data, calculate the light spectrum weight factor that trades off sunshade and lighting adjustment priority;Utilize the factor and parallelly solve out sunshade angle compensation value and lighting brightness compensation value;Synchronous drive sunshade device and lighting lamp execute adjustment, and update its current state;Monitoring adjusted energy consumption and comfort data, calculate comprehensive energy efficiency index, and feedback optimization light spectrum weight factor calculation rule, realize closed-loop adaptive control.The application can effectively improve building light environment comfort, reduce lighting energy consumption, realize the intelligent linkage and optimized operation of lighting and sunshade system.

The invention discloses an optical storage system power prediction method based on a physical information neural network. Constructing a photovoltaic equipment operation model, obtaining photovoltaic working condition data and taking the photovoltaic working condition data as model input, and solving to obtain a photovoltaic operation prediction result; constructing an energy storage equipment operation model, obtaining energy storage working condition data and taking the data as model input, and solving to obtain an energy storage operation prediction result; constructing a polynomial regression model as an environmental influence model, obtaining environmental factor data and taking the environmental factor data as model input, and processing to obtain an environmental influence prediction result; an integrated learning method is adopted: a photovoltaic equipment operation model, an energy storage equipment operation model and an environmental influence model are used as base learners, a regression model is constructed as a meta learner, and a photovoltaic operation prediction result, an energy storage operation prediction result and an environmental influence prediction result are used as inputs of the meta learner; and inputting the data into a meta-learner for processing to obtain a prediction result of the optical storage integrated system. According to the invention, the power prediction model of the optical storage system is simplified and the prediction precision is improved.