167 results about "Calculation algorithm" patented technology

The invention discloses a geotechnical engineering catastrophe dynamic real-time intelligent early warning method and system based on displacement monitoring, and the method comprises the steps: collecting the real-time displacement data and related parameters of a geotechnical engineering region through displacement monitoring equipment, and transmitting the real-time displacement data and related parameters to a bank slope stability evolution analysis platform to establish a multi-dimensional database; calling a fractured rock mass effective stress analysis model to calculate rock mass effective stress distribution characteristics, and inputting a multi-grid sliding surface stress calculation algorithm to obtain a potential sliding surface stress state and a critical threshold value; inputting the sliding surface stress parameters and the displacement data into a multi-field coupling analysis learning prediction model to obtain a displacement evolution trend and a catastrophe risk coefficient; and finally, real-time early warning information is generated and fed back through the catastrophe dynamic real-time intelligent early warning module. The method improves the real-time performance and accuracy of early warning, can effectively guarantee the safety of geotechnical engineering, and is suitable for catastrophe early warning scenes of geotechnical engineering such as bank slopes and foundation pits.

The invention discloses a multi-device collaborative passenger flow statistical method and system, and the method comprises the following steps: presetting a unique identity label and a physical position index for devices, reading the unique identity label and the physical position index, and initializing the attribute information of the devices; a user datagram protocol broadcasting mechanism is started, and heartbeat information including the unique identity label, the physical position index and the online state is sent according to a preset period; monitoring the user datagram protocol broadcast message in the local area network, constructing and maintaining an online equipment list, and updating the online state of the equipment according to the heartbeat information receiving analysis condition; judging adjacent equipment based on a physical location index, and deciding whether to start a first boundary or a second boundary according to the online state of the adjacent equipment; and the decision result is transmitted to a passenger flow statistical algorithm to generate a shop-crossing detection line. According to the invention, multi-device collaborative passenger flow statistics dynamic boundary configuration is realized, the shop-crossing detection line is accurately generated, and the passenger flow statistics problems of fixed boundary configuration, easy missed counting and poor multi-device collaboration are solved.

The invention provides an optimization method and system of a distributed battery management system. The method comprises the following steps: acquiring battery cell parameters, scene parameters and historical charging and discharging data of a battery cell, and evaluating a battery aging stage; calling a matched battery cell state calculation algorithm according to the scene parameters and the battery aging stage; calculating battery cell state information of the battery cell according to the battery cell parameters, the scene parameters and a battery cell state calculation algorithm; according to the cell state information, the scene parameters and the battery aging stage, dynamically adjusting an equalization threshold and an equalization rate, and executing an equalization strategy to obtain equalization state information; periodically uploading the operation data to a cloud server, receiving an algorithm update package, and updating an adaptive algorithm library; and calculating the overall state information of the battery pack according to the cell state information and the equilibrium state information. The calculation precision of the battery cell state can be effectively improved, the cycle life of the battery is prolonged, and the use safety of the battery is improved.

The invention provides an anti-stray magnetic field rotation angle detection method and system for a three-way sensor, and relates to the technical field of sensor signal processing and motor control, and the method comprises the steps: enabling the three-way sensor to be fixed on a circuit board at an interval of 120 degrees, the sensing axes of the sensors face the rotating part with the permanent magnet together, and the magnetic field direction of the permanent magnet is perpendicular to the sensing axes. The sensor collects three paths of mixed signals containing real angle signals and spurious interference generated when the rotating component rotates, then the signals are subjected to Clark transformation to generate two-phase orthogonal signals, and then anti-interference digital signals are obtained through differential processing and analog-to-digital conversion. Then, a deep learning network based on an attention mechanism is adopted to perform feature enhancement on the signals, and finally, the angle of the rotating part is accurately determined by using an angle calculation algorithm based on the enhanced signals. According to the invention, the accuracy and reliability of angle detection in a strong stray magnetic field interference environment are improved.

The invention relates to the technical field of data calibration, and particularly discloses an attitude calibration method and system for a self-adaptive anti-shake handheld three-dimensional scanner, and the method comprises the steps: reading IMU initial data to initialize an attitude calculation algorithm and an initial gyroscope zero offset estimation value, carrying out the real-time compensation of the original angular velocity data of a gyroscope based on the current zero offset estimation value, and carrying out the calibration of the attitude of the self-adaptive anti-shake handheld three-dimensional scanner. Second attitude data is obtained by resolving accelerometer data; a final attitude is output through complementary filtering fusion; the quasi-static state of a scanner is analyzed and judged through IMU data variance; original data of a gyroscope is collected in the state to solve an average value; and the zero offset estimation value is updated through first-order low-pass filtering and is fed back to the compensation step. According to the method, hardware cost does not need to be increased, whole-process online self-calibration is achieved, attitude drift is reduced, the algorithm is efficiently adaptive to a low-cost processor, and long-time scanning precision and real-time performance are guaranteed.

The invention discloses a swallowing type cow rumen sensor and a disease monitoring and early warning system. Comprising a swallowing type dairy cow rumen sensor, a data receiving host and a cloud platform upper computer, the sensor is of a sealed columnar capsule structure, a pH detection assembly, a TDLAS technology-based methane gas sensing system, a temperature sensor, a three-axis attitude sensor and a vibration power generation unit are integrated in the sensor, and the sensor resides in a rumen through a counterweight; the cow behavior recognition module is used for processing the collected posture data in real time based on an edge calculation algorithm built in the main control module so as to realize cow behavior recognition; the data receiving host is configured with a LoRa wireless receiving module and a 4G communication module and is used for receiving and synchronously uploading data; and the cloud platform upper computer analyzes the uploaded multi-dimensional physiological feature data and behavior recognition results based on a deep learning algorithm so as to realize disease diagnosis and accurate feeding decision. The device solves the problem that the deep body sign of the dairy cow is difficult to obtain, and has the characteristics of small size, corrosion resistance, discharge prevention, self power supply and the like.

The optimal replacement timing for consumable parts is set for each user. [Solution] The image forming apparatus includes a replaceable toner container 101 and a controller 109 that changes a lifespan calculation algorithm for calculating the lifespan when the toner container 101 is replaced according to the timing estimated from its lifespan.

The invention relates to the field of batteries, and discloses a battery welding positioning method and a welding device.The battery welding positioning method comprises the steps that coordinates of two fixed reference points on a battery pack and center position data of a plurality of pole columns are obtained at an addressing station; based on the coordinates of the two fixed reference points and the center position data of each pole, respectively calculating and storing geometric feature data of a geometric figure formed by the center point of each pole and the two fixed reference points; the coordinates of the two fixed reference points are obtained again at the welding station; according to the reference point coordinates obtained again and stored geometric feature data, welding position coordinates of all the pole columns under the current coordinate system are inversely calculated; based on the welding position coordinates, the welding device is guided to move to the corresponding position to execute welding; a coordinate resolving algorithm based on a fixed geometrical relationship is used for replacing a traditional mode of relying on high-precision mechanical repeated positioning, multi-link accumulative errors are eliminated fundamentally, and submillimeter-level welding positioning is achieved.

The invention discloses an atrial fibrillation anomaly detection method and system based on multi-sensing time-frequency pseudo anomalies, and the method comprises the steps: obtaining an atrial electrophysiological signal sequence through an HDS high-density sensing atrial fibrillation analysis platform, carrying out the time-frequency conversion of the signal sequence, constructing a multi-modal time-frequency tensor model, and extracting a time-frequency feature subset related to the atrial fibrillation anomaly; dynamically distributing feature weights by utilizing an extrusion excitation time-frequency pseudo-selection model so as to optimize features; constructing a double-domain hypersphere feature space based on the optimized features, calculating a pseudo-anomaly distance value through a double-domain hypersphere pseudo-anomaly distance calculation algorithm, and dividing a suspected atrial fibrillation anomaly feature sample set in combination with a preset threshold; and carrying out feature fusion on the suspected abnormal sample set, extracting common abnormal features and generating a detection result. The system corresponds to six units, the comprehensiveness of feature extraction and the accuracy of anomaly recognition are greatly improved, the clinical requirements for atrial fibrillation detection are met, and reliable technical support is provided for early diagnosis of atrial fibrillation.

The present application relates to the technical field of intelligent corn straw harvesting, and specifically discloses a straw chopping length detection method and system combining a neural network and image processing, the method comprising: acquiring original images with various morphological characteristics; constructing a YOLOv5 neural network model; outputting the boundary box of the straw target and the reference object; and generating a straw region of interest image; performing image processing on the straw region of interest image and extracting the straw edge; determining the pixel area occupied by the straw based on the straw edge; calculating the pixel length of the straw based on the least-enclosing-rectangle fitting; converting the pixel length of the straw into actual physical dimensions based on the reference object calibration; correcting the actual physical dimensions based on the curvature compensation model; and accurately measuring the length of the chopped corn straw based on YOLOv5 and image processing. The straw region of interest is located by YOLOv5, the target is accurately segmented by traditional image processing, and the original image is processed by the length calculation algorithm, so that the length of the straw can be accurately predicted.

The application relates to an AR glasses binocular calculation algorithm, which is applied to AR glasses provided with left and right light machines, an eye camera and a master control module, and comprises the following steps: S1, initialization and test image projection, after system initialization and ghost image displacement correction are completed, the left and right light machines respectively project binocular calibration images to the eye camera; S2, center calibration positioning, left and right eye field images are acquired through the eye camera, and left eye center coordinates and right eye center coordinates where the binocular calibration images in the left and right eye field images are respectively extracted through an image recognition algorithm; S3, binocular alignment deviation calculation, the position alignment deviation of the left and right eyes is calculated according to the left eye center coordinates and the right eye center coordinates acquired in step S2; S4, dynamic light machine position adjustment, taking the center coordinates of the eye camera as the reference, the left and right light machines are adjusted in the horizontal direction and the vertical direction; and S5, iterative optimization, steps S2-S4 are repeated until the binocular alignment or the maximum iteration number is reached.

The invention discloses a construction method of an unmanned aerial vehicle multi-spectral remote sensing basic model based on agricultural application, and relates to the technical field of intelligent agricultural equipment, and the method comprises the following steps: S1, collecting a multi-band remote sensing image of a rice region through a multi-spectral camera carried by an unmanned aerial vehicle; s2, calculating an anti-flooding vegetation index, and generating a vegetation coverage rate initial value according to the anti-flooding vegetation index; s3, extracting a rice plant area image, and inputting the rice plant area image into the trained rice state recognition model; s4, judging whether the flooding stress probability is greater than a flooding threshold value or not; and S5, determining the rice growth potential grade based on the vegetation coverage rate initial value or the corrected vegetation coverage rate. According to the method, through the anti-flooding vegetation index and the self-adaptive calculation algorithm in the turbid water body, the strong absorption interference of the water body in the near-infrared band is effectively stripped, so that the initial value of the vegetation coverage rate can truly reflect the survival state of underwater vegetation, and the situation that part of flooded healthy rice is misjudged as poor growth or death is fundamentally avoided.

The present technology relates to an imaging system. The imaging system can comprise at least one processor configured to apply a projection precomputation algorithm and an x-ray tomography image reconstruction system. The projection precomputation algorithm can be configured to: generate a projection operator matrix that can be used to calculate a plurality of voxels from a plurality of projection measurements before the plurality of projection measurements is acquired and store the projection operator matrix in memory. The projection operator matrix can be at least one of: a compressed matrix, a multi-iteration projection operator matrix, and a combination thereof. The x-ray tomography image reconstruction system can be configured to apply the projection operator matrix to generate a reconstructed three-dimensional image of at least an internal portion of a selected object under a surface of the selected object when the plurality of projection measurements is acquired.

The invention discloses a large-diameter shield tunnel lining segment whole-ring stress monitoring system based on a three-axis tilt angle sensor. The system comprises a total station, a small prism, a sensor pre-installation and removal assembly and a whole-ring segment stress calculation algorithm. The total station is mounted in a pipe piece vault area 20 rings away from a tunneling face and used for monitoring pipe piece floating; the small prism is arranged in the top area of the shield tail ring to be separated through a hot melt glue gun and serves as a base point of rigid deformation of the duct piece; the sensor pre-installation assembly comprises a sensor, an organic glass base and a fisheye screw; the sensor transmits arrangement point position angle data to a cloud end through 4G network signals, and real-time monitoring is carried out on the pipe piece arrangement point position angle; according to the calculation method for the whole-ring duct piece, the duct piece is regarded as an elastic body, the duct piece is equivalent to a continuous beam, the arch crown displacement measured by a small prism is regarded as the rigid body displacement of the duct piece, the elastic displacement of each part of the duct piece is calculated according to the inclination angle value measured by a sensor, and then the whole-ring stress of the duct piece is obtained more accurately; and the flare angle of the adjacent segments can be calculated according to the sensors at the joints of the adjacent segments. According to the invention, under the condition of considering the elastic deformation of the segment, the whole ring stress condition of the large-diameter shield tunnel lining segment can be obtained in real time.

The invention discloses a multi-module cooperative work control method and system for a wireless measurement-while-drilling instrument, and belongs to the technical field of drilling engineering.The method comprises the steps that real-time state data and drilling environment parameters of all modules are obtained; performing parameter integration on the real-time state data and the drilling environment parameters to generate a state parameter set; carrying out comprehensive analysis processing on the state parameter set, generating dynamic priorities through a dynamic priority calculation algorithm, and generating a priority sequence according to the arrangement of the dynamic priorities; generating a task scheduling instruction including a resource allocation strategy and a task execution time sequence according to the priority sequence; and executing the task scheduling instruction, collecting execution result data of each module, and using the execution result data to adjust a dynamic priority calculation algorithm to form an optimized scheduling strategy. According to the method, the multi-source data fusion and dynamic priority calculation technology is adopted, a closed-loop feedback optimization mechanism is combined, and cooperative scheduling and resource optimization of all modules of the wireless measurement-while-drilling instrument can be achieved.

The application relates to the technical field of computers, in particular to a secure starting method, an electronic device, a medium, secure starting software and a chip. The method can first calculate label data corresponding to a to-be-authenticated object set (for example, a device image set) and obtain repair data by using a private key stored in the electronic device, then obtain authentication data by a first algorithm (for example, a reversible calculation algorithm) based on the label data and the repair data, wherein the calculation amount of the first algorithm is less than that of a digital signature algorithm. Then, whether the device image in the to-be-authenticated object set is trusted is determined by comparing the authentication data with a trusted root stored in the electronic device. In this way, the secure starting method provided in the embodiments of the application does not need to consume a large amount of computing resources or memory resources when comparing the authentication data with the trusted root, and can realize lightweight secure starting, so that the secure starting can be realized on an electronic device with limited resources.

The invention provides a textile fabric tensile strength testing device and method for detecting new textile materials, and relates to the technical field of textile fabric detection.The textile fabric tensile strength testing device comprises a detection frame, a lifting seat and a base, the lifting seat is movably arranged above the inner side of the detection frame, and the base is arranged at the bottom of the inner side of the detection frame; a clamping assembly is connected to the lower portion of the lifting base through a position adjusting and reversing assembly and has a displacement measuring function, and a clamping assembly is connected to the base through a multi-element steering assembly and has a force measuring function. The two groups of clamping assemblies are used for clamping a new material to be detected, and the lifting seat performs stretching detection on the new material through movement; the device has conventional and oblique stretching dual testing capabilities, and is wider in testing adaptability; torsion and stretching composite test is realized, and the test scene is more practical; the fatigue and tensile testing functions are integrated, and the testing efficiency and accuracy are remarkably improved; the strength calculation algorithm is scientific and accurate, and the test result reliability is high.

The invention relates to the technical field of civil engineering, and discloses a CAD earthwork calculation and land use automatic optimization method and system, and the method comprises the following steps: S1, data input: reading CAD graphic data and configuration parameters, verifying the closeness, validity and legality of the data, and storing the data in a database; the CAD graphic data comprises land use range boundaries, terrain elevation points and road center lines; s2, performing dual-mode adaptive earthwork calculation: counting the number N of elevation points, calculating a land area A and an elevation standard deviation sigma, determining an adaptive threshold Nthreshold = f (A, N, sigma, alpha), adaptively selecting a calculation algorithm according to the relationship between N and Nthreshold, and outputting an excavation amount, a filling amount and a clear soil amount. The CAD earthwork calculation and land use automatic optimization method and system have the advantages of integrating earthwork calculation, slope calculation, land use optimization and cost calculation, and being simple in operation, low in learning cost, high in calculation precision, high in efficiency and the like.

1. A method for estimating a residual torque between at least one braking element (3, 3') of a brake (1) of a vehicle and a braked element (2), the braking element (3, 3') comprising at least one force sensor (6), the method comprising the steps of: monitoring the actuated / deactuated state of the brake (1); - temporary acquisition of force signals generated by the force sensor (6); - calculating a fluctuation field (Cv, C'v) of the force signals; - calculating a primary indicator of the residual torque (Ip), wherein the calculated value of said fluctuation field of the force signals (Cv, C'v) is input into a primary calculation algorithm (Ap), wherein the primary indicator of the residual torque (Ip) is calculated and the calculated value of said primary indicator of the residual torque (Ip) is verified only if the temporary acquisition of force signals was performed when the brake was in a deactuated state.

The invention discloses a three-dimensional power grid training simulation method based on a virtual reality technology, and relates to the technical field of power grid training simulation, and the method comprises the following steps: initializing a virtual reality environment, loading a mountainous area power grid three-dimensional model, and generating a power transmission line node; setting training environment parameters; calculating an effective wind speed at each line node according to the terrain gradient; calculating the line galloping amplitude in real time; dynamically rendering a line galloping effect in a VR environment, and visually displaying a dangerous section through color coding; students can deploy anti-galloping devices interactively, and the system updates the damping effect in real time and recalculates the galloping amplitude. The system continuously monitors the safety state, provides a real-time alarm and generates a training evaluation report. According to the invention, a terrain-adaptive galloping amplitude real-time calculation algorithm is introduced, and a virtual reality training system deeply fused with a real geographical environment is constructed, so that simulation and visualization of the galloping behavior of the high-voltage transmission line in a mountainous complex terrain can be realized.

According to an aspect of the present disclosure, a system-level low voltage ride-through (LVRT) control system for a renewable power plant (RPP) connecting to a weak grid is provided. The system includes a voltage boundary vector trajectory model that captures geometric relationships of system-side responses to determine voltage controllable boundaries. The system includes a discrete and clustering matrix-based calculation algorithm that computes optimal current commands within the constructed boundaries.

The application discloses an intelligent office multi-screen splicing display control and practical training system and method, comprising a multi-screen splicing topology configuration module, an intelligent display control scheduling module, a practical training scene simulation generation module, an interactive instruction analysis and execution module, a fault diagnosis and tracing module, a practical training data management and analysis module, and a safety protection and permission control module; the application realizes automatic identification of display equipment and generation of an optimal splicing scheme through the multi-screen splicing topology configuration module and an adaptability calculation algorithm, supports dynamic topology switching of office and practical training scenes, and solves the problem of poor adaptability of traditional splicing relying on manual configuration; based on task priority calculation and time-sharing scheduling algorithm, the application realizes intelligent resource allocation in a multi-task concurrent scene, guarantees the fluency and synchronization of multi-screen display, and improves the display control efficiency of intelligent office.

The invention discloses an intelligent video automatic generation method and system based on chapter random combination, and belongs to the technical field of video content automatic generation. The method comprises the steps that chapter parameters configured by a user are received, and a corresponding combination number calculation algorithm is selected according to a chapter mode to obtain the number of videos capable of being generated; generating a timeline based on the parameters and the number, wherein the process comprises material selection, sound and picture alignment and special effect parameter generation; the standardized timeline file is exported, an automatic script is generated, and batch rendering is executed and completed in professional software; the core lies in supporting five chapter modes, double-strategy audio and video alignment and a multi-round material extraction mechanism, and the repetition rate can be accurately controlled. According to the method, video batch automatic production is realized, the efficiency and content uniqueness are improved, the audio and picture synchronization precision is guaranteed, multi-scene and cross-platform use is adapted, and professional creation requirements are met.

The embodiment of the invention provides a method and a device for determining a particle boundary, relates to the technical field of water environments, and is used for conveniently and quickly determining the particle boundary. The method comprises the following steps: acquiring target particle distribution data at a first moment, and determining a target value of a boundary calculation parameter of a boundary calculation algorithm based on a particle distribution characteristic and a control parameter represented by the target particle distribution data; executing a boundary calculation algorithm by adopting the target value to obtain a boundary calculation result corresponding to the first moment; circularly executing qualification inspection operation, and ending circulation until a qualified boundary calculation result is obtained or the number of circulation times reaches the maximum number of circulation times; wherein the qualification inspection operation comprises the steps of performing qualification inspection on the boundary calculation result, adding 1 to the cycle index when the qualification inspection is not passed, and executing a boundary calculation algorithm based on the control parameter, the target value and the adjusted target value to obtain the boundary calculation result again.

The invention discloses a shopping guide capability improving system and method based on an AI voice work card, and belongs to the technical field of artificial intelligence and intelligent shopping guide. The system comprises a multi-mode voice acquisition and feature extraction module, a crown cancellation model dynamic extraction and scoring module, a dialogue quality evaluation and intention analysis module and a closed-loop feedback optimization and partner training scene generation module, and the four modules form a deep coupling closed-loop cooperative system. The system extracts efficient verbal skills from crown sales samples through an innovative adaptive weight calculation algorithm, quantifies customer intention intensity through a multi-dimensional fusion method, improves shopping guide ability through interactive partner training, realizes system adaptive optimization through a closed-loop feedback mechanism, and improves customer experience. According to the invention, automatic inheritance of sales crowd experience and scientific evaluation and systematic improvement of shopping guide capability are realized, customer satisfaction and sales conversion rate are significantly improved, and the method is suitable for industries requiring shopping guide service, such as extensive home and retail.

The application discloses a milling method based on automobile front and rear axle processing, and particularly relates to the field of numerical control milling processing technology of automobile axle assembly, and comprises the following steps: obtaining three-dimensional processing data of a non-driving axle axle assembly workpiece to be processed; generating a final milling path of a target mounting surface according to a clamping reference in a machine tool coordinate system; and writing a position of the final milling path passing through a hole boundary into a hole surface sweep entry record; for the hole surface sweep entry record, moving a milling cutter equipped with a numerical control blade along the final milling path bit by bit through a cutter sweep body envelope calculation algorithm, and rotating a blade tip arc of the numerical control blade around a cutter head center according to a blade seat angle; determining a temporary sealing allowance above the hole boundary according to a cutter sweep envelope of the numerical control blade, reserving the temporary sealing allowance after pre-processing in the hole and rough milling of the mounting surface, so that the milling cutter cuts into a supported metal strip while crossing the hole boundary when performing final milling on a key mounting surface, and the temporary sealing allowance is removed from the inside of the hole boundary after the final milling is completed.

The present disclosure discloses a blockchain-driven automated 3D printing modular construction management system, comprising: a decentralized blockchain network deployed on node devices of one or more stakeholders, wherein the one or more stakeholders include one or more of a 3D printing assembly manufacturer, a quality inspection team, a regulatory body, a logistics provider, a consultant, a budget team, and an end-user / client / owner, wherein the decentralized blockchain network is configured to store immutable records of full-lifecycle data including design specifications, material procurement, 3D printing production, logistics transportation, on-site assembly, final handover, and post-construction maintenance; a 3D printing hardware module including at least one 3D printer integrated with blockchain nodes, wherein the 3D printing hardware module real-time records printing parameters, material usage, and quality inspection data to the decentralized blockchain network, and synchronizes digital files, production schedules, and quality control measures with the network; an IoT sensor module comprising a material parameter sensor, a production progress sensor, and a transportation tracking sensor, wherein the IoT sensor module transmits real-time data to the decentralized blockchain network after a computing preprocessing using optimized computational algorithms, and supports real-time verification of construction processes; and a smart contract module embedded in the decentralized blockchain network, wherein the smart contract module includes pre-defined terms for automated material authentication, supply chain transaction validation and milestone-based payment triggering, and links financial transactions directly to project milestones.

This invention discloses a method for obtaining the quality factor based on stable trend frequency, comprising the following steps: S1 acquiring first arrival records, which include time-domain data and first arrival information; S2 lengthening the time-domain data and converting the lengthened time domain into a frequency domain to obtain the spectrum of the first arrival records; S3 extracting first frequency data from the spectrum and obtaining second frequency data based on the variation characteristics of the first frequency data; S4 calculating the quality factor Q value based on the second frequency data and the first arrival information. This invention also discloses a device, equipment, and medium for obtaining the quality factor based on stable trend frequency. This invention obtains a highly accurate Q value by lengthening the first arrival data, employing a stable trend frequency method, and optimizing the Q-value calculation algorithm. This method is not only applicable to obtaining Q values ​​from dual-well micrologging data but can also be extended to obtaining Q values ​​from seismic single-shot records.

The invention relates to the field of knowledge maps, in particular to an intelligent substation state analysis method based on a knowledge map. The method comprises the following steps: firstly, calculating a structure energy disturbance value of equipment through a structure energy disturbance value dynamic fusion calculation algorithm based on a constructed knowledge graph of an intelligent substation and collected equipment state data; then, on the basis of the structure energy disturbance value of the equipment, a propagation disturbance sum received by the equipment is calculated through a disturbance propagation mapping algorithm; calculating a stability score based on the structure energy disturbance value of the equipment and the received propagation disturbance sum; and finally, comparing the stability score with an early warning threshold value, entering an early warning state when the stability score exceeds the early warning threshold value, and backtracking the disturbance source equipment. The problem that equipment abnormity identification lacks a quantitative evaluation mechanism is solved; the fault positioning range is wide and the inspection efficiency is low; the operation environment change of the equipment is difficult to dynamically adapt; and the early warning system is high in false alarm rate and poor in accuracy.

The invention discloses a Tokamak plasma feedback control system and method based on real-time calculation of a helium-deuterium ratio, and the system consists of an automatic spectrum collection module, a real-time calculation module of the helium-deuterium ratio, and a data transmission and feedback control module. And continuous framing acquisition of emission spectrum signals including helium spectral lines and deuterium spectral lines in the whole discharge process is realized. And a helium-deuterium ratio real-time calculation algorithm is embedded, smooth filtering, baseline correction and numerical integration are carried out on a preset helium and deuterium characteristic spectral line narrow wavelength window in each frame of spectrum, corresponding spectral line integration intensity is obtained, and the He / (He + D) fuel component ratio is calculated on line. A calculation result is read by a plasma control system and then input into a PID controller, the opening degree of a helium and deuterium inflation valve is automatically adjusted, closed-loop control over the boundary helium and deuterium ratio in the discharging process is achieved, and energy constraint deterioration and fusion performance reduction caused by too high He / D are restrained.