49 results about "Power analysis" patented technology

The invention discloses a computing power analysis method used in a cloud computing environment, a matching method and a computer device. The computing power analysis method used in the cloud computing environment comprises the steps that historical task operation data of different types of computing power nodes in a cloud computing platform are acquired, associated computing power portraits corresponding to the computing power nodes are generated through preprocessing, and then a target model is trained in combination with the historical task operation data to obtain a task-computing power mapping model; performing multi-dimensional dynamic and static analysis on a to-be-executed user calculation task to obtain task feature information; and analyzing the task feature information based on the task-computing power mapping model to obtain analysis information of each type of computing power nodes. According to the method, the required computing power resources and the analysis information of each type of computing power nodes can be accurately predicted according to the dynamic and static analysis feature information of the task before the task is executed, so that accurate computing power identification and intelligent matching are realized, the reasonability and efficiency of task allocation are improved, the resource waste rate is effectively reduced, and the adaptation accuracy in a multi-tenant environment is improved.

The invention provides a chip security key protection method and system capable of resisting side channel attack, and relates to the technical field of chips, which comprises the following steps of: obtaining a key operation request, performing address space mapping based on a dynamic mapping rule to obtain encrypted key data, decrypting the encrypted key data, fragmenting key intermediate data, and allocating an independent processing channel to perform decoupling operation; and injecting a time-varying noise signal to cover the association between the key and the physical characteristics, and finally performing recombination and reverse conversion to generate a final key output. According to the method, side channel attacks such as power consumption analysis and electromagnetic analysis are effectively resisted, and the security of key storage and operation processes is improved.

The invention relates to the technical field of elevator operation safety monitoring, and discloses an elevator no-load monitoring method based on AI computing power analysis, RUL prediction and big data optimization, and the method comprises the following steps: S1, a system initialization step; s2, a data acquisition step; s3, a computing power analysis step; s4, a step of AI reasoning and RUL prediction; s5, a monitoring period prediction step; s6, executing a no-load test; s7, a score calculation and optimization step; s8, a data uploading and big data optimization step; and S9, a manual intervention step. According to the elevator no-load monitoring method based on AI computing power analysis, RUL prediction and big data optimization, by arranging a dynamic computing power distribution mechanism and an edge computing RTOS operating system, self-adaptive resource scheduling is achieved, and particularly, according to the idle computing power of edge equipment (if a high-precision AI model is selected when the idle computing power is larger than 50%, otherwise a lightweight model is selected), the optimal scheduling of the edge equipment is achieved. And in combination with task priority scheduling of an RTOS kernel layer, the real-time requirement is ensured.

The invention discloses a low-overhead anti-power analysis AES (advanced encryption standard) algorithm mask protection method. According to the method, two shares of a plaintext and a secret key are received in a clock period 0, ten rounds of round functions are executed from the clock period 0 to the clock period 30, each round needs three clock periods, and two shares of a ciphertext are output in a clock period 31; in the implementation of a round function and key expansion, the calculation of an S box (not including input linear mapping) needs three clock periods; in the third clock period after S box calculation is completed, a round of residual operation (wherein the residual operation of a round function comprises a multiplication module of the S box, S box output linear mapping, row shifting, column confusion and round key addition, and the residual operation of key expansion comprises key word XOR generation of a next round of round key) and the next round of S box input linear mapping calculation are completed at the same time. According to the mask, the side channel security capability of first-order power consumption analysis resistance can be provided for the AES algorithm, and the requirements on random numbers and chip area are remarkably reduced.

The invention discloses an electric power market power calculation method based on artificial intelligence, and mainly aims to solve the problems that traditional market power analysis data utilization and interaction are limited, the complex problem processing capability is low, and dynamic supervision requirements are difficult to adapt. The platform is connected with an MCP service and a large language model platform, and comprises the following steps: receiving a query statement, and carrying out keyword matching on the query statement and an RAG knowledge base to obtain a knowledge base retrieval result; an available tool list in the MCP service is obtained, and the available tool list, the query statement and the knowledge base retrieval result are integrated and then sent to the large language model platform; receiving a structured calling instruction returned by the large language model platform, and initiating a tool calling request to the MCP service, so that the MCP service calls and executes calculation operation related to market power analysis; and receiving a calling execution result, integrating the calling execution result with the query statement, and sending the integrated result to the large language model platform, so that the large language model platform generates reply content.

An intelligent task configuration method based on big data SQL code computing power analysis performs computing power evaluation on sql codes to be operated, and the core lies in that a query processing process is decomposed into three key dimensions: an operation type, a data scale and processing complexity. Each dimension is quantized through well-designed parameters, and finally a unified computing power demand calculation formula is integrated. The formula not only considers a single-thread execution scene, but also particularly adds extra overhead brought by parallel processing, so that an evaluation result is closer to an actual operation environment. The SQL code is further stored in a notebook and kept as a file, the hash value of the file is calculated to serve as an identification code, a plan of an sql code running task is configured according to the authority level and the real-time computing power condition of a user, and computing power resource allocation is intelligently optimized.

This invention discloses a security chip based on a configurable lookup table. The security chip includes: at least one configurable logic block, each containing at least one configurable lookup table unit; a dynamic mask generator connected to the configurable lookup table unit, dynamically generating a mask sequence according to the current processing clock cycle; a reconfiguration controller connected to the dynamic mask generator, changing the configuration values ​​of the configurable lookup table units in real time according to a security policy; and a security execution engine, whose input is connected to the output of the configurable lookup table unit, performing secure operations based on the masked lookup results; wherein the configurable lookup table unit presents different truth table mappings for the same logic input in at least two different clock cycles. This invention enables the lookup table unit to present different truth table mappings in different clock cycles, breaking the deterministic correlation between power consumption characteristics and data, and effectively resisting side-channel attacks such as differential power analysis.

The embodiment of the invention provides a resource allocation method, a model training method, system and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring historical flow data, a request priority analysis result for a user request, and a computing power analysis result for each computing power partition; and performing data analysis on the historical flow data, the request priority analysis result and the computing power analysis result through a resource allocation model, and outputting a resource allocation scheme for the user request. According to the embodiment of the invention, the advantages of the historical flow data, the request priority analysis result and the computing power analysis result can be integrated, and the resource allocation scheme is comprehensively generated by combining the features of multiple dimensions, so that the output resource allocation scheme can be globally optimized, the computing power requirement of an actual task is met, refined load balancing is realized, and the resource allocation efficiency is improved. The real-time performance and reliability of processing large-scale data are improved, resource idleness is reduced, and the resource utilization rate is increased.

The application provides a line loss analysis method and system based on carbon flow tracking, and belongs to the technical field of power data anomaly analysis. CE = CE in ‑ CE o , CE The total loss carbon amount of the node i ; CE in The total input carbon amount of the node i ; CE o The total output carbon amount of the node i ; an XGBoost model for carbon amount anomaly screening is constructed based on a gradient decision tree XGBoost, and a target function of the model; each node in a network topology is analyzed based on the XGBoost model, and a carbon amount anomaly node is predicted based on the power and carbon emission density of each node; each user corresponding to the carbon amount anomaly node is subjected to power analysis, the power analysis includes high-voltage user abnormal power analysis and low-voltage user abnormal power analysis, and the type of abnormal situation existing in the user is obtained.

The application provides a chip security key protection method and system against side channel attacks, relates to the technical field of chips, and comprises the following steps: obtaining a key operation request, performing address space mapping based on a dynamic mapping rule to obtain encrypted key data and decryption, fragmenting key intermediate data and allocating independent processing channels for decoupling operation, injecting a time-varying noise signal to mask the association between the key and physical characteristics, and finally recombining and reversely converting to generate a final key output. The application effectively resists side channel attacks such as power analysis and electromagnetic analysis, and improves the security of the key storage and operation process.

The invention relates to a stator core fault standard local excitation temperature rise measurement method and system, computer equipment, a storage medium and a computer program product. The method is applied to a temperature rise measurement system, and comprises the following steps: after a standard local excitation frequency is applied to a fault tooth part, calculating first flux density power according to the reading of a first power analyzer and the reading of a second power analyzer; calculating standard flux density power based on the first flux density power, the standard local excitation frequency and the target local excitation frequency; after the target local excitation frequency is applied to the fault tooth part, second flux density power is calculated according to the reading of the first power analyzer and the reading of the second power analyzer; and when the second flux density power is equal to the standard flux density power, carrying out temperature rise measurement for preset time to obtain the standard local excitation temperature rise of the fault tooth part. By adopting the method, the standard local excitation temperature rise of the stator core fault can be measured under the condition that the standard excitation frequency is changed.

The invention discloses a power load characteristic multi-scale analysis method based on multi-source data and dynamic clustering, and relates to the technical field of power analysis, and the method comprises the following steps: fusing power, production, policy, environment and other multi-source heterogeneous data, and carrying out space-time alignment; cleaning the load data and identifying a characteristic time period influenced by the specific factor according to the auxiliary information; decomposing the load curve and recombining the load curve into components with definite physical significance according to auxiliary data such as a production time sequence; performing context-fused dynamic clustering and mode correlation analysis on each load component according to the time scale; and extracting refined characteristics and adjustable potential indexes, and generating a visual resource map capable of supporting scheduling. According to the method, by introducing a polymorphic load component separation and multi-scale collaborative clustering mechanism, cause decoupling and refined mode recognition of complex industrial loads can be realized, and the problems that in an existing method, mode confusion is likely to occur, and load characteristics under different driving mechanisms are difficult to distinguish are solved.

The invention provides a power anti-violation recognition computing power dynamic allocation method and system based on concurrent perception, and relates to the technical field of computing power allocation, and the method comprises the steps: carrying out the interaction of concurrent perception task information, carrying out the execution parameter, processing amount and computing power analysis of the perception task information, and obtaining the perception task computing power description information; obtaining the concurrent processing amount of the system, and carrying out multi-dimensional analysis on the concurrent processing amount of the system; according to the concurrency constraint parameters, computing power surface layer magnitude distribution is carried out on the sensing task computing power description information; and carrying out concurrent processing optimization based on a surface level matching relationship, obtaining a final computing power distribution strategy by taking maximization of a perception task completion effect and minimization of a concurrent processing amount as targets, and carrying out computing power configuration of power violation detection. According to the method and the device, the technical problem of unreasonable power anti-violation recognition calculation power dynamic distribution in the prior art can be solved, and the technical effect of improving the power anti-violation recognition calculation power dynamic distribution reasonability is achieved.

The utility model relates to the technical field of instrument analysis, and discloses a multifunctional wavelet transform electric power analysis all-in-one machine which comprises a tool box, the outer side of the tool box is fixedly connected with a connecting block, the interior of the connecting block is rotatably connected with a rotating plate, the interior of the rotating plate is fixedly connected with a second spring, and the second spring is fixedly connected with a second motor. A cover is rotatably connected to the outer side of the tool box, a second sealing gasket is fixedly connected to the inner side of the cover, a first sealing gasket is fixedly connected to the top of the tool box, a limiting assembly used for limiting a wire is fixedly connected to the interior of the cover, and the limiting assembly comprises two fixing blocks. The inner sides of the two fixing blocks are fixedly connected to the interior of the cover. According to the utility model, dust is prevented from entering, so that the service life of detection equipment can be prolonged, equipment faults and maintenance cost caused by dust are reduced, electronic elements on the detection board are short-circuited or poor in contact due to dust, and the risk can be effectively reduced by dustproof measures.

This invention discloses a power analysis self-healing control method and apparatus for integrated circuit power supplies, relating to the field of integrated circuit technology. The method includes: collecting detection data of the power supply to be evaluated; extracting features from the detection data to obtain a multi-dimensional feature data sequence; inputting the multi-dimensional feature data sequence into a pre-trained target network model to predict the power supply parameter degradation prediction result; determining the PWM control parameter adjustment amount based on the power supply parameter degradation prediction result; generating a self-healing control command based on the PWM control parameter adjustment amount and the power supply parameter degradation prediction result, and outputting the self-healing control command; the power supply system to be evaluated responds to the self-healing control command by adjusting the PWM control parameters. This method provides early identification of power supply faults and dynamic self-healing control of the power supply, thus effectively avoiding equipment downtime for maintenance and reducing equipment maintenance costs.

The application discloses a webpage visitor consumption power analysis method, system and device and a storage medium, and the method comprises the following steps: obtaining user agent information of a target webpage, determining device information of a target object according to the user agent information; obtaining device characteristic information based on a preprocessing program according to the device information; obtaining a user unique identification code based on the device characteristic information; determining preference information of the target object based on the user unique identification code; obtaining an IP address of the target object, and determining location information of the target object according to the IP address; and obtaining a consumption power score of the target object based on a preset intervention algorithm according to the device characteristic information, the location information and the preference information. The application is based on user agent information and an IP address of a webpage, and then confirms device characteristic information and location information of a target object, provides data support for consumption power analysis of the target object, can be universally adapted to webpage of various industry types, and can be widely applied to the technical field of computers.

This invention belongs to the field of measurement and analysis technology, and relates to a data processing system for a Yokogawa power analyzer based on the LabVIEW platform. The system includes a communication module, a data processing module, a data acquisition and synchronization module, and a data storage and export module. By constructing a standardized communication interface based on VISA-SCPI, an ASCII data stream structured parsing engine, a unified modeling mechanism with a shared variable library, and a native synchronous acquisition architecture based on TDMS, this invention achieves physical homogeneity, temporal synchronization, and logical isomorphism between the raw measurement data from the Yokogawa power analyzer and the multi-source sensor data from the test bench within the LabVIEW platform. Without the need for additional hardware gateways or post-processing interpolation, it achieves microsecond-level trigger alignment and frame-level parameter binding, ensuring the time synchronization of power parameters with other physical quantities. This significantly improves the automated testing efficiency, data integration capabilities, and multi-dimensional joint analysis level of the test bench.

A power analysis method, comprising: receiving multiple reference power consumption data; obtaining multiple reference environment data corresponding to the multiple reference power consumption data, wherein the multiple reference power consumption data and the multiple reference environment data are used as multiple reference samples to establish an analysis model; receiving a target power consumption data, and obtaining a target environment data corresponding to the target power consumption data; using the target power consumption data and the target environment data as a target sample to analyze a similarity between the target sample and the multiple reference samples by the analysis model; and calculating an power consumption composition data according to the similarity by the analysis model, wherein the power consumption composition data corresponds to the multiple electrical devices of the plurality of types.

The invention discloses a privacy boundary dynamic division method and system based on a trusted data space, and relates to the technical field of privacy computation.The method comprises the steps that current task features of a plurality of users and a plurality of current privacy boundaries in the trusted data space are obtained, and a privacy boundary range is obtained; randomly adjusting the plurality of current privacy boundaries within the privacy boundary range to obtain a plurality of first privacy boundaries; analyzing a plurality of first data precisions of the plurality of first privacy boundaries, and analyzing to obtain a plurality of first task success rates in combination with the plurality of current task features; and analyzing a plurality of task matching degrees of a plurality of user permissions and a plurality of current task features, combining a plurality of first task success rates, performing privacy division evaluation of a plurality of first privacy boundaries to obtain a first privacy fitness, performing privacy boundary division optimization, obtaining a plurality of optimal privacy boundaries, and performing privacy boundary dynamic division. According to the method and the device, the technical problem of inaccurate privacy boundary division in the prior art is solved.

The invention relates to the technical field of vehicle chip testing, and discloses an automatic testing method and platform system for computing performance of a domain control chip, and the platform system comprises a to-be-tested domain control chip system which is used for executing a preset computing task and outputting real-time performance data; the data connection system comprises a power analyzer and a protocol analyzer and is used for acquiring electrical parameters and communication load data; the automatic platform system is used for dynamically scheduling test cases, converging multi-source data and triggering an exception protection mechanism; the test upper computer system is used for configuring a test strategy, generating a visual report and supporting historical data comparison and performance trend analysis; the to-be-tested domain control chip system, the data connection system, the automatic platform system and the test upper computer system are interconnected through physical or communication links to form a closed-loop test architecture. The full-stack closed-loop automatic test can be realized, the test indexes are comprehensive, the test result is reliable, and the test efficiency is relatively high.

The present application belongs to the technical field of power supply detection and aging management, and particularly relates to a mobile DCS power supply automatic detection device. An input of an industrial computer inputs power supply information to be detected, formulates power supply test steps to be detected, generates control instructions, controls other units to work in coordination to complete input / output / protection tests of the power supply to be detected, and gives test reports and statistical results. An AC test power supply and a power supply loop provide various input parameter changes according to instructions of the host computer. An electronic load and a load loop provide various output load changes according to instructions of the host computer. A system control unit completes power supply protection action command changes according to instructions of the host computer. A power analyzer and input collection and sampling loops complete input / output test result collection and feedback to the industrial computer. According to input power supply parameters to be detected, selectable power supply test items are designed, input / output performance of the power supply under different conditions is detected, and reports and analysis results are formed.

This invention belongs to the field of data communication network technology and discloses a wide-area heterogeneous computing power resolution method based on identifiers. The steps of this invention include: when computing power resources access the network, they send a registration request to a computing power resolution server, the request information including the attribute information of the computing power resources; the computing power resolution server abstracts the computing power resources into a hierarchical tree and encodes them according to domain name organization rules; the computing power resolution server registers and manages the computing power resources; if registration is successful, when a user initiates a task request, a dynamic and static matching algorithm is used to search for a list of available computing power resources from the computing power resolution server. This invention can effectively improve the utilization rate of computing power resources, optimize user experience, and simultaneously achieve optimized allocation and collaborative management of global computing power resources.

The application relates to the technical field of power analysis, and particularly discloses a power distribution network fault judgment method based on voltage amplitude change quantity, which comprises the following steps: acquiring network data, historical voltage data and historical fault data of a power distribution network, determining a plurality of adjustment division regions and adjustment region fault data of each adjustment division region; determining real-time voltage data of the power distribution network; calculating a correlation key point set of each key point of each adjustment division region; constructing a fault prediction model of each adjustment division region; and determining real-time fault data of the power distribution network based on the real-time voltage data and the fault prediction model of all the adjustment division regions. The correlation between key points can be quantified, linkage analysis of fault key points is realized, fault prediction is upgraded from single-point analysis to regional collaborative judgment, the accuracy, real-time performance and intelligent level of power distribution network fault diagnosis are improved, the operation stability of the power grid is optimized, and the fault response time and operation and maintenance cost are reduced.

This invention relates to the fields of information security and quantum-resistant computing, and discloses a hardware-accelerated parallel implementation method and system for quantum-resistant encryption algorithms. The method includes: configuring a parallelized quantum-resistant encryption core computing array; deploying a spiking neural network control module that simulates the random firing behavior of biological neurons, and connecting it to a power-compensating execution unit; monitoring key computing cycles and activating the module; using the non-periodic random pulses generated by the module to drive power consumption perturbation, deeply fusing instantaneous power consumption and noise; and dynamically adjusting neuron parameters through a feedback mechanism to make the total power consumption exhibit random characteristics similar to biological neural electrical signals. Through the above scheme, this invention disguises the encryption power consumption trajectory as random noise, resisting physical attacks such as differential power analysis without sacrificing computational performance, thereby improving the physical layer security and energy efficiency of the quantum-resistant encryption system.

The invention discloses a harmonic electric energy analysis method and device and a medium. The invention relates to the field of power grids and solves the problem of low harmonic metering precision. A voltage time domain signal sequence and a current time domain signal sequence are respectively collected for an extra-high voltage direct current system, a four-item five-order Nuttall window function is adopted to carry out weighting processing on time domain signals, and frequency domain energy diffusion caused by signal truncation mutation is avoided through the window function; three adjacent spectral lines with the maximum screening amplitude and interpolation algorithm correction are added after FFT transformation, spectral line information corresponding to the real frequency of harmonic waves is accurately positioned through targeted screening and correction of discrete frequency domain spectral lines, spectral lines of voltage and current signals are independently corrected, and therefore the real frequency of the harmonic waves is obtained. The amplitude and the phase parameter required by the subsequent power calculation are ensured to be true values; and finally, power is calculated based on the corrected voltage and current real amplitude and phase of each harmonic, and total harmonic electric energy is obtained through accumulation, so that the harmonic metering precision is improved, and the accuracy of the total harmonic electric energy is ensured.

The application relates to a SM4 algorithm mask implementation method for resisting power consumption analysis on a DSP chip, which comprises the following steps: obtaining plaintext data to be encrypted and an initial round key; generating a first random mask equal to the length of the plaintext data, and performing a first mask operation on the plaintext data by using the first random mask to obtain first mask state data; for the multi-round iteration encryption structure of the SM4 algorithm, in each round of encryption operation, a second random mask is generated based on the current round key; the first mask state data and the second random mask are input into an arithmetic logic unit of the DSP chip to execute a round function F which is subjected to mask conversion, wherein the round function F comprises a nonlinear transformation T and a linear transformation L; in the nonlinear transformation T, a pre-constructed and stored S-box lookup table which is subjected to mask processing is called, and the input data and the output data of the S-box lookup table which is subjected to mask processing are both covered by masks; the DSP implementation SM4 mask of the application is resistant to power consumption, is safe and efficient, and has better hardware adaptability.

This invention relates to the field of digital information transmission security and discloses a design method for an SM2 hardware accelerator resistant to side-channel attacks in an RTOS. The method includes: constructing an absolute time window strictly aligned with the communication time slot period based on a bus synchronization clock; monitoring the SM2 operation progress within the window and automatically triggering an isochronous flow control unit upon completion of the actual instruction; this unit drives the operation core to perform twin pseudo-instruction filling on irrelevant data, isomorphic to the actual instruction, until the window terminates and the result is output. This invention physically shapes non-constant-time cryptographic operations into carrier signals with fixed timing and continuous equal-amplitude power envelopes, eliminating feature leakage in differential power analysis and ensuring that the hardware accelerator presents a zero-jitter, time-rigid node to the RTOS, thus meeting the stringent requirements of deterministic transmission in industrial time-sensitive networks.

A method for providing power analysis of a circuit comprises estimating output power during a time interval for a gate of the circuit based on an input event; and including the estimated output power of the gate in the power analysis of the circuit. In some implementations, estimating output power includes considering, for the gate, an “output timing reject region” of the input event in which a pulse width at the input is between two thresholds, the thresholds being selected such that the input event does not propagate to an output of the gate. Nevertheless, the input event contributes partially to the estimated output of the gate. In some implementations, estimating output power includes implementing a live gate model using gate datasheet information stored by the gate.

The application discloses an abnormality detection device and method based on power consumption analysis of a password chip, and belongs to the technical field of information security. The device comprises a video encryption module, which is used for acquiring a video stream and performing an encryption operation thereon; a power consumption acquisition module, which is used for acquiring power consumption change information of the password chip when the password chip performs the encryption operation; and a data analysis module, which is used for analyzing the power consumption change information, performing abnormality monitoring and responding. By acquiring the voltage waveform between the sampling resistors within the same time length when the password chip performs the encryption operation, the encryption power consumption of different password chips can be effectively acquired, the abnormality monitoring of the remote monitoring picture is realized by analyzing the encryption power consumption, the device does not need to analyze the monitoring picture content frame by frame, the abnormality monitoring efficiency is greatly improved while ensuring the safe transmission of the monitoring picture.

The disclosed technology is generally directed to a method for simulating power analysis of a satellite system comprising at least one satellite. In one example of the technology, the method may include receiving at least one of orientation parameters, solar panel parameters, and peak values associated with the satellite, and a position of the Earth with respect to the Sun (1402) and determining an amount of power generated by the satellite (1406). The method may include receiving power consumption data of components of the satellite in a plurality of modes of operation (1408) and determining an amount of power consumed by the satellite (1410). The method may include simulating power analysis, based on the amounts of power generated and consumed, to determine an amount of power stored by the satellite (1412) and repeating aforementioned steps to iteratively determine the amounts of power generated, consumed, and stored as the satellite traverses through a respective orbit (1414).