37results about How to "Resolution time" patented technology

The invention discloses a hospital inquiry system based on the Internet. The hospital inquiry system comprises a business platform layer, a multi-terminal application layer, a composite interaction layer and a verification layer, the service platform layer is constructed by adopting a Java Springboot and SpringCloud micro service architecture, and a plurality of core functions can be packaged into an independent service process; the multi-end application layer can select an optimal technology stack to form a multi-end application based on operation habits and performance requirements of different terminal users, and each end performs front-end and back-end separated interaction with the service middle station through an API gateway; and the composite interaction layer is used for establishing a communication link between a doctor and a patient so as to carry out a full-service process of online inquiry, prescription making and medicine distribution. According to the system, a one-stop business process of online inquiry, prescription extraction, medicine purchasing and distribution is realized, meanwhile, doctors are supported to receive diagnosis through a mobile terminal or a computer anytime and anywhere, and the problem that the licensing behaviors of the doctors are bound to fixed places and time of physical hospitals is solved.

The invention provides a transformer fault feature fusion diagnosis method and system based on multi-modal time sequence data reconstruction, and relates to the technical field of power system transformer fault diagnos.The method comprises the steps that firstly, a gas-in-oil-dissolved time sequence waveform, a box wall vibration time sequence waveform and a sleeve heat map time sequence waveform are captured respectively; inputting a pre-constructed transformer operation situation reconstruction network to perform cross-modal physical field space-time alignment processing, generating a transformer multi-physical field evolution trajectory taking a fault energy injection point as an initial reference, and performing topology traceability tracking processing of fault feature clues on the transformer multi-physical field evolution trajectory to obtain a transformer global fault feature topology chain; and inputting a fault mode semantic analysis network, generating a transformer comprehensive diagnosis descriptor fusing a fault type semantic tag and a fault space positioning coordinate, extracting a local evolution trajectory fragment, generating a maintenance decision trigger instruction containing a fault residual life consumption rate, and sending the maintenance decision trigger instruction to a transformer on-line monitoring master station system. Safe and stable operation of the transformer is ensured.

The invention provides a method for synthesizing 6-aminocapronitrile from caprolactam. The method comprises the following steps: a gasification device is sequentially provided with a uniform distribution part, an efficient dispersion part, a high-temperature gasification part and an in-situ separation part from top to bottom; liquid-phase caprolactam is injected from the top end of the gasification device, and ammonia gas is injected through the efficient dispersion part; in the efficient dispersion part, liquid-phase caprolactam is broken in a first circular tube nest under the shearing action of gravity and ammonia gas to form liquid drops, and after high-temperature gasification, a gas phase is output from the side part of the gasification device, then enters the reactor filled with the monolithic catalyst from the bottom of the reactor, reacts through the monolithic catalyst and is output from the top of the reactor. According to the invention, caprolactam can be efficiently gasified, coking is not easy to generate, the retention time of a gas-phase reactant in the reactor can be accurately controlled, the reaction efficiency is greatly improved, the discharge amount of wastes in the production process of hexamethylenediamine is reduced, the cost is reduced, the economic benefit is improved, and a guarantee is provided for green, environment-friendly and safe production.

The application relates to the technical field of automobile manufacturing, and discloses a welding support device for automobile sheet metal parts, which comprises a layout base, a main hole position positioning support is arranged on the top of the layout base, a main clamping positioning support is arranged on the left side of the main hole position positioning support, and a clamping welding assembly is arranged on the left side of the main clamping positioning support. The bottom welding electrode is moved upward through the operation of the bottom telescopic rod, the bottom welding electrode is in contact with the main sheet metal, the top welding electrode is moved downward through the operation of the top telescopic rod, the top welding electrode is in contact with the auxiliary sheet metal, the top welding electrode and the bottom welding electrode are electrified, heat generated by the current at the contact point melts the main sheet metal and the auxiliary sheet metal, and the main sheet metal and the auxiliary sheet metal are solidified under the pressure of the top telescopic rod and the bottom telescopic rod to form welding points, at this time, the main sheet metal and the auxiliary sheet metal are preliminarily welded, and the problems that the existing support device cannot clamp the main sheet metal and the auxiliary sheet metal for welding immediately, and the mechanical hand carrying the spot welding device needs to consume time during movement and leads to low efficiency are solved.

The embodiment of the present application provides a kind of method and device for transmitting audio, comprising: determining the device type of target microphone in N+1 microphone, N is greater than or equal to 0;According to the device type, determine the target channel in the N+1 channel of protocol controller, each microphone in N+1 microphone includes protocol controller, each channel in N+1 channel corresponds to one microphone in N+1 microphone, and each channel is used to transmit the audio collected and played by the corresponding microphone;The target audio collected and played by the target microphone is transmitted through the target channel. The present application solves the problem of non-synchronous audio collection and play processing time.

This utility model discloses an activated carbon tower for treating saline wastewater, belonging to the field of wastewater treatment technology. It aims to solve the technical problems of complex, time-consuming, and safety-hazardous filter media replacement operations in existing activated carbon towers. The activated carbon tower includes a load-bearing support, an activated carbon tower shell fixed thereon, and a filtration mechanism disposed inside the shell. The activated carbon tower shell has an inlet and an outlet, and a hinged door mechanism is rotatably connected to its side wall. A slide rail is fixed on the support, and the sliding assembly includes a filter container and pulleys rolled on the slide rail. This utility model fundamentally solves the problems of requiring personnel to enter for filter media replacement, cumbersome operation, and low efficiency by designing the core filtration unit as a modular structure that can be pulled out laterally. Furthermore, the double-limiting structure inside and outside ensures operational stability, resulting in extremely convenient maintenance, safety, reliability, and significantly improved work efficiency.

This invention relates to the field of geological engineering technology, and in particular to an experimental method for determining the subcritical fracture toughness of fractures under well-closing conditions in shale reservoirs. The method comprises: obtaining a first shale sample and a second shale sample; placing the first shale sample in an experimental system and injecting fracturing fluid into the system until subcritical propagation occurs, then determining the peak pressure required for subcritical propagation; placing the second shale sample in the experimental system and injecting fracturing fluid to the preset well-closing pressure value, without injecting fracturing fluid, then determining whether subcritical propagation occurs in the second shale sample and the time required for subcritical propagation; and finally, calculating the corresponding subcritical fracture toughness. The advantage of this invention is that it enables the determination of whether subcritical propagation occurs in shale gas reservoirs under well-closing conditions, and the calculation of subcritical propagation fracture toughness, providing important theoretical basis and reference for the construction design and scheme optimization of deep shale gas reservoirs.

The invention provides a high-precision detection method and device for air-ground undulating surface hidden disasters, and relates to the technical field of geological exploration. Synchronous acquisition of the multi-thread laser radar, the high-precision positioning and attitude determination system and the GPR host is realized through hardware triggering of the industrial personal computer, and a high-precision timestamp under a unified time reference is written into point cloud data and radar channel data. A three-dimensional point cloud model is constructed based on time alignment and coordinate transformation, a GPR antenna phase center coordinate sequence is obtained through space intersection in combination with installation parameters, and then an earth surface digital model is constructed. And carrying out elevation correction and near-surface delay correction on radar channel data by taking the earth surface digital model as a reference, executing Kirchhoff migration imaging, and outputting a migration profile, thereby improving the imaging precision and positioning reliability of hidden disaster detection under the undulating earth surface condition.

The utility model provides cold header die automatic replacement mechanism relates to cold header die replacement technical field, the utility model discloses fixed installation nitrile rubber sucking disc on the bottom surface of negative pressure cylinder, the inside sliding joint of negative pressure cylinder has piston board, the surface fixed mounting of piston board has push away link, the one end fixed mounting of push away link away from piston board has the lifting plate, the both sides surface of negative pressure cylinder all fixed mounting has first fixed plate and second fixed plate first fixed plate's surface fixed mounting has first electric telescopic handle, second fixed plate's surface fixed mounting has second electric telescopic handle, the utility model discloses through adsorption clamping double fixed device, makes and utilizes the automatic collaborative action of negative pressure adsorption and mechanical clamping, need not manual intervention to change the mould link, solves the problem that traditional manual change mould leads to long equipment downtime and high security risk, guarantees the continuous operation of cold header automatic production line, improves equipment comprehensive utilization rate.

The application relates to the technical field of traffic signal control, and particularly discloses an adaptive traffic signal control method based on reinforcement learning and a self-attention mechanism, which comprises the following steps: establishing a Markov decision process model and a policy neural network based on a deep reinforcement learning algorithm; building a deep Q network and a self-attention mechanism based on the Markov decision process model; evaluating the policy and updating the neural network of the policy neural network, an encoder and a decoder; performing multiple iterative training on the neural network; obtaining a trained neural network model; and generating real-time traffic signal control signals according to the trained neural network model. The method can gradually learn an optimal policy in a complex traffic flow. In addition, the algorithm adopts an encoder-decoder structure, stores historical trajectories in a replay buffer, and uses proximal policy optimization to update parameters. The method solves the problem that the existing adaptive traffic signal control method needs a large amount of data for training and requires a large amount of computing resources.

The application discloses a configuration file generation method and device, a semiconductor process equipment and a general control device. In the configuration file generation process, the target equipment upper and lower computer parameters are automatically acquired through a data acquisition interface, and the configuration file is generated based on the acquired parameters. In the configuration file generation process, manual access to the storage addresses of the upper computer parameters and the lower computer parameters is not required to check each parameter, the problem that manual query of the configuration parameters may cause omission or a long required time is solved, and the purpose of reducing the time and labor cost required by the configuration file generation method is achieved. In addition, a factory end user can obtain the configuration parameters in the configuration file through the method, comprehensively understands the configuration information of the upper computer and the lower computer of the target equipment, and performs parameter subscription and other configuration operations on the configuration parameters according to the obtained configuration information, so that the process of the factory end user in the configuration of the configuration parameters is simplified.

This application relates to the field of autonomous driving technology, and in particular to a multimodal fusion perception method, device, vehicle, and storage medium for vehicles. The method includes: acquiring laser point cloud data collected by an onboard LiDAR and image data collected by an onboard camera; placing all laser point clouds from the laser point cloud data into voxels on a target overhead view, and extracting laser voxel features from the laser point cloud data; extracting two-dimensional image features from each image in the image data, projecting them onto voxels on the target overhead view, and extracting visual voxel features from the image data; aligning the laser voxel features and visual voxel features in time and space, and then fusing them on the target overhead view to obtain the multimodal fusion perception result of the vehicle using the fused features. This solves the problems of related technologies that perform target-level fusion based on single-sensor detection results, which cannot fuse data from multiple sensors, resulting in large errors and low perception accuracy.

The application discloses an optimization method for INS and GPS combined navigation of an unmanned ship, uses a double-propeller unmanned ship power model obtained by using the relationship between power signals and thrust of the unmanned ship to improve navigation precision of an inertial navigation system, and thus improves the INS / GPS combined navigation precision of the unmanned ship. When a global positioning system signal is available, a particle filter algorithm is used as a data fusion algorithm of the INS / GPS combined navigation system. In the case that the global positioning system signal is disconnected or weak, a power model of the double-propeller unmanned ship is used as an event-triggered switch to perform effective acceleration integration, so that the inertial navigation system of the unmanned ship can keep high-precision positioning. The method effectively solves the problem that the acceleration error measured by an economical inertial navigation system is large due to the influence of an external environment when the unmanned ship sails, and thus the positioning precision of the INS navigation system is low and the effective time is short.

The invention relates to the technical field of building inter-pile leaking stoppage and water stopping, in particular to a novel building inter-pile leaking stoppage and water stopping device which comprises a steel plate, a connecting assembly and a fixing assembly. The connecting assembly is used for connecting two adjacent steel plates together, the fixing assembly is used for fixing the two connected steel plates to a pile, and the connecting assembly comprises a set of first connecting rods arranged on one sides of the surfaces of the steel plates and a set of second connecting rods arranged on the other sides of the surfaces of the steel plates. According to the plugging and water stopping device, due to the fact that all parts are prefabricated parts, the plugging and water stopping device can be quickly assembled and used, the working efficiency of treating inter-pile water stopping is improved, the steel plate face plate is of an inserted structure, the steel plate face plate can be detached for continuous use after inter-pile water stopping is completed, cost is saved, and the practicability is high. The problems that a traditional construction method is long in construction time and wastes materials are effectively solved, and the inter-pile leakage blocking construction efficiency is effectively improved.

This utility model discloses a display module flicker programming device in the field of display module programming technology, including a base, a testing machine, a programming probe, a carrier disk, red and green indicator lights, and cables. The base has an operating side, and the red and green indicator lights, the programming probe, and the testing machine are located inside the base. The programming probe is installed on the side away from the operating side. A hole is cut in the upper cover of the base corresponding to the programming probe, and the top of the programming probe is flush with the surface of the upper cover. The red and green indicator lights are installed on the upper cover of the base. The programming probe is electrically connected to the testing machine via cables. The carrier disk is installed on the upper surface of the base and is detachably connected to the base. The carrier disk has a positioning groove, and the positioning groove is cut in the hole corresponding to the programming probe. This utility model has no moving mechanical parts, and the operator does not need to touch the relevant circuits during operation, thus reducing the risk of circuit failure and improving the stability of the device.

The application discloses an enhanced recognition method in a multi-source heterogeneous scene, and relates to the technical field of intelligent sensing, comprising the following steps: S1, dynamic acquisition and preprocessing of multi-source data; S2, dynamic modal weight distribution; S3, cross-modal feature enhancement fusion; S4, lightweight model reasoning and optimization; S5, dynamic environment adaptive learning. The enhanced recognition method in the multi-source heterogeneous scene effectively solves the problems of heterogeneous data time alignment and format unification by synchronously collecting multi-modal data in real time and performing standardization processing. In cooperation with the unique dynamic modal weight distribution mechanism, the reliability of each modal data can be evaluated in real time according to the scene change, and the fusion weight can be dynamically adjusted, so as to further ensure the accuracy and adaptability of data fusion. In addition, more discriminative joint features are generated through cross-modal feature enhancement fusion, which significantly improves the recognition accuracy and robustness.

The invention discloses a molecular simulation method based on a carbon dioxide flooding mixing reducer. The molecular simulation method comprises the following steps: step 1, screening functional groups; 2, constructing a molecular structure model; 3, performing structure optimization on the molecular structure model to obtain a stable initial conformation; 4, analyzing parameters of the initial conformation; 5, constructing a full-atom structure model and a coarse-grained structure model by taking the molecular structure model as an object; 6, carrying out structure optimization and dynamic balance on the all-atom structure model, and calculating a molecular solubility parameter delta; 7, calculating a solubility parameter delta, and constructing a dissipative particle dynamics force field parameter; 8, constructing a dissipative particle dynamics calculation model of the mixed-phase system by taking the coarse-grained structure model and the dissipative particle dynamics force field parameters as objects; and ninthly, dynamic balance calculation parameters are set for the dissipative particle dynamic calculation model. The problems that in existing evaluation, the risk is high, and consumed time is long are solved.

The application discloses an enterprise risk early warning system and method based on intelligent evolution map, relates to the technical field of computer information processing, extracts time nodes and characteristic words in enterprise penalty cases, respectively forms internal characteristic vectors and external characteristic vectors, integrates into a fusion characteristic vector to construct a risk evolution sequence, carries out time normalization processing on the characteristic sequences of multiple cases, clusters to form a risk evolution map, collects internal characteristics and external characteristics of a target enterprise, compares the fusion target vector of the target enterprise with the risk evolution map, positions a similar classification cluster, calculates a risk weight to generate a characteristic word push sequence, and provides quantitative basis for enterprise risk assessment through deep mining and multi-feature fusion of enterprise penalty cases, so that management personnel can timely master enterprise risk dynamics and take measures to cope with potential risks in advance.

The present application relates to the technical field of crane sling deflection detection. The present application relates to a crane sling deflection detection method based on artificial intelligence. It includes the following steps: S1, build a multi-modal perception array, synchronously collect multi-source perception data, the multi-modal perception array contains an industrial camera, an IMU inertial measurement unit, a cart trolley displacement encoder and a wind speed sensor, which respectively obtain real-time image data of the sling, inertial attitude data of the sling, crane walking motion data and on-site wind field environment data; The present application builds a multi-modal perception array composed of an industrial camera, an IMU inertial measurement unit, a displacement encoder and a wind speed sensor, realizes the synchronous collection of multi-source data of the sling image, inertial attitude, crane motion state and on-site wind field environment, breaks through the limitation of single sensor detection in the prior art, and multiple sensors play their respective roles and complement each other's shortcomings, laying a foundation for subsequent high-precision detection from the data collection level.

The application provides a joint soft tissue balancing method and device, electronic equipment and storage medium, relates to the technical field of medical instruments, and comprises the following steps: fusing joint internal pressure data and joint pose data, establishing the correlation between joint contact force and joint space attitude; based on the joint gap displacement data collected during the operation of the patient and the corresponding joint contact force response data, a soft tissue stiffness model is constructed; based on the soft tissue stiffness model, the joint gap data, and the joint gap change amount, the joint contact force prediction value of the candidate prosthesis specification combination is determined; an optimization function is constructed, each specification combination of the candidate prosthesis is traversed, and the specification combination corresponding to the optimal value of the optimization function is taken as a recommended configuration scheme. The method and device provided by the application construct an intelligent closed-loop solution of "measurement-modeling-prediction-optimization" driven by data as a whole, and realize accurate, efficient and personalized joint soft tissue balancing.

This invention discloses a method and device for constructing a cross-island heterogeneous federated learning system based on homomorphic encryption. After local training on the client, the local model is packaged and sparsified at the packet granularity. The sparsed packet data is homomorphically encrypted, and the ciphertext and mask are sent to a parameter server. The parameter server aggregates the data according to the client's ciphertext weights and sends the aggregated ciphertext global model and mask to the client. The client decrypts the global ciphertext and unpacks it to obtain the global model, and updates its local model. The client calculates and returns a sketch of its local model. By clustering the sketch, the fastest client in each cluster is selected as a participant in the next round of training, and the contribution is calculated based on the sketch to obtain the aggregation weights for the next round. The trained local model is then applied to the cross-island heterogeneous federated learning system. This invention can improve the efficiency of homomorphic encryption while protecting privacy, and simultaneously resist the negative impact of lagging on model synchronization.

This invention discloses an adaptive drug delivery system for ischemic stroke, its preparation method, and its application. MMP-2 responsive peptide-drug dimers are loaded onto the surface of mesoporous polydopamine for intervention or treatment of cerebral ischemia-reperfusion injury. The system allows for targeted drug delivery based on individual differences in disease progression among patients, precisely promoting brain injury repair. This invention applies MMP-2 responsive peptides to the treatment of ischemic stroke, using mesoporous polydopamine as a drug carrier, providing reactive sites and loading space for efficient drug loading. The chemical reaction between catechol on the polydopamine surface and the thiol groups on the MMP-2 responsive peptides loads the peptide-drug dimers, thereby achieving responsive drug release on the carrier surface. Simultaneously, this invention utilizes the ability of polydopamine to scavenge reactive oxygen species (ROS), rapidly clearing local ROS and reducing acute damage caused by ischemic stroke.

The invention relates to the technical field of computer vision, and discloses an image data enhancement preprocessing system for gesture recognition, which comprises an image acquisition unit, a data enhancement unit, a feature extraction unit and a preprocessing output unit. The image acquisition unit receives multi-source input of visible light, infrared and depth sensors and the like, and performs de-weighting and resolution calibration; the data enhancement unit implements geometric transformation and color adjustment based on gesture features; the feature extraction unit identifies contour edges, textures and joint points; and the preprocessing output unit verifies the data quality and packages and outputs the data in a standardized manner. According to the system, through multi-source data fusion, semantic perception enhancement and multi-dimensional feature extraction, the training data quality of a gesture recognition model is remarkably improved, the problems of data isomerism, feature distortion and the like in a traditional method are solved, and the system has the advantages of being high in processing efficiency and adaptability.

The invention discloses a wireless VR streaming super-division and frame prediction optimization method based on a visual model, and relates to the technical field of virtual reality and computer vision crossing. According to the method, a VR video viewport and a background area are split through VAE at a cloud end, a feature flow fusing a motion track is generated through a TNAM algorithm, a diffusion super-division model of causal sparse attention transformation is constructed, and a high-compression feature flow is output; end cloud collaboratively builds a dual-path frame prediction engine, and the cloud calculates time steps through RAFT optical flow, corrects artifacts in a large motion scene, and stabilizes subtitles in a static scene; the cloud feature flow is subjected to inverse VAE decoding at a terminal, and lightweight super-resolution is realized through three layers of U-Net and a CSTB module containing double cross-scale attention heads; and non-linear stretching is carried out on the edge pixel of the super-resolution rear view port based on the head posture, so that distortion correction is realized. According to the invention, through cloud high compression, terminal light super-resolution and collaborative dual-path optimization links, precise adaptation of bandwidth and image quality is realized, and the method has wide application value.

This invention provides a waste heat recovery power generation zero-carbon energy system. This system primarily utilizes thermal energy, the chimney effect, and wind power generation technology to recover waste heat and generate zero-carbon energy. The system mainly consists of thermal energy, wind turbine ducts, a wind turbine generator, and an energy storage device. The wind turbine ducts generate wind power, which drives the wind turbine generator to produce electricity. Waste heat increases the temperature difference; the greater the temperature difference, the greater the wind power generated by the wind turbine duct, and the more electricity is generated. Both waste heat and solar energy can increase the temperature difference and enhance wind power efficiency. The energy storage equipment can expand the application scope of the waste heat power system.

The invention belongs to the technical field of medical tools, and particularly relates to a detachable first-aid kit which comprises a bottom plate, a push-pull rod, a first kit body and a second kit body, the first kit body is fixedly installed on the bottom plate, a horizontal T-shaped sliding groove is formed in the top wall of the first kit body, and a T-shaped sliding block in sliding fit with the horizontal T-shaped sliding groove is arranged on the bottom wall of the second kit body; a limiting vertical groove is formed in the top wall of the first box body, a limiting rod and a reset spring used for resetting the limiting rod are arranged in the limiting vertical groove, the top end of the limiting rod extends out of the limiting vertical groove in a natural state, a vertical through groove is formed in the second box body, and when the T-shaped sliding block slides in place, the top end of the limiting rod extends into the vertical through groove; and an unlocking rod is vertically connected in the vertical through groove in a sliding manner. Locking and unlocking of the first box body and the second box body are achieved through the limiting rods and the unlocking rods, so that the first box body and the second box body are detached as needed, medical staff can conveniently carry the first box body and the second box body separately, the burden of a single person is relieved, and the medical staff can reach the place where a person to be rescued is located as soon as possible and treat the person to be rescued as soon as possible.

The application provides a transformer fault feature fusion diagnosis method and system based on multi-modal time series data reconstruction, and relates to the technical field of power system transformer fault diagnosis. First, the time series waveforms of dissolved gas in oil, the time series waveforms of box wall vibration and the time series waveforms of sleeve heat map are captured respectively, and are input into a pre-constructed transformer operation situation reconstruction network for cross-modal physical field space-time alignment processing, to generate a transformer multi-physical field evolution track with a fault energy injection point as a starting reference. Topological source tracking processing of fault feature clues is performed on the track, to obtain a transformer global fault feature topology chain. The chain is input into a fault mode semantic analysis network, to generate a transformer comprehensive diagnosis descriptor that fuses fault type semantic labels and fault space positioning coordinates. According to the descriptor, a local evolution track segment is extracted, a maintenance decision trigger instruction containing a fault residual life consumption rate is generated, and is sent to a transformer online monitoring master station system, to ensure safe and stable operation of the transformer.

The application discloses a design method, a hot forming plate and a vehicle, and relates to the technical field of vehicle engineering, wherein, in order to achieve the above-mentioned purpose, the design method comprises the following steps: selecting test design parameters of the first hot forming plate, the second hot forming plate and the third hot forming plate; obtaining first simulation performance parameters corresponding to the test design parameters through simulation software; judging whether the first simulation performance parameters meet a first performance condition; if yes, obtaining welding test parameters to prepare and weld test pieces, and obtaining welding performance parameters corresponding to the welding test parameters; judging whether the welding performance parameters meet the first performance condition; if yes, selecting the test design parameters and the corresponding welding test parameters as actual design parameters. The application effectively improves the lightweight degree and the debugging efficiency of the vehicle, and reduces the production cost.

This application provides a material screening method, system, apparatus, equipment, and medium. The material screening method includes: performing image scanning processing on materials on a conveyor belt to obtain a test image; uploading the test image to a host computer for identification processing to receive an abnormal material rejection signal fed back by the host computer; responding to the abnormal material rejection signal, performing phase alignment processing between the current scanning sequence and the abnormal material rejection signal based on a synchronous clock to obtain an aligned abnormal material rejection signal; and rejecting abnormal materials according to the aligned abnormal material rejection signal. The material screening method of this application can directly control material screening using hardware, improving the accuracy and efficiency of material screening.

The application discloses a kind of high energy consumption park electric energy carbon data mapping method, system and storage medium, belong to wisdom energy and carbon footprint management technical field, method includes: obtaining the multi-source electric energy carbon data of high energy consumption park;Multi-source electric energy carbon data is carried out flow batch integration processing, and the electric energy carbon time series data after preprocessing is obtained;The electric energy carbon time series data after preprocessing is carried out multi-time window cross mapping processing, and the time window sequence data after fusion is obtained;Based on the time window sequence data after fusion, electric carbon factor data is combined to carry out electric energy carbon coupling conversion calculation, and the carbon emission and carbon emission intensity of high energy consumption park are obtained.The application can accurately calculate the carbon emission and carbon emission intensity of park, provide effective data support and decision basis for electric energy carbon analysis of high energy consumption park.