912 results about "Power parameter" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

A method for performing an RA procedure for LTM is provided. The method receives a PDCCH order for initiating the RA procedure for an LTM candidate cell. The PDCCH order indicates that an index of a preamble is not “0.” The PDCCH order includes a first DCI field indicating that a transmission of the preamble is an initial transmission or a re-transmission and a second DCI field indicating the LTM candidate cell. The method increments a power ramping counter by 1 when the first DCI field indicates the re-transmission and the PDCCH order indicates an SSB for the re-transmission of the preamble. The SSB is the same as an SSB used in a previous transmission of the preamble. The method sets, based on the incremented power ramping counter, a power parameter. The method re-transmits, to the LTM candidate cell, the preamble based on at least the set power parameter.

The embodiment of the invention provides an intelligent dynamic load regulation and control method and system for an intelligent power grid. Wherein power parameters of key nodes are collected in real time through time sequence analysis and a deep learning algorithm, future power demand fluctuation is predicted, and a power grid topological structure model is constructed to identify the key nodes and a potential influence range; a genetic algorithm, particle swarm optimization and other multi-objective optimization algorithms are adopted to generate specific operation instructions for different power utilization areas or devices, and optimization objectives comprise minimization of energy cost, maximization of renewable energy utilization rate and guarantee of power supply stability; converting the strategies into guidance suggestions, pushing the guidance suggestions to a terminal user, collecting feedback information, generating a preference model by applying a reinforcement learning algorithm, and selecting an optimal strategy for implementation based on user acceptance and feasibility evaluation; risks and abnormal conditions are detected through the Bayesian network, and the strategy is adjusted in time. According to the technical scheme provided by the embodiment of the invention, the efficient distribution of power resources and the energy utilization efficiency in the smart power grid are improved.

The invention belongs to the technical field of monitoring and fault early warning of an intelligent packaging production line, discloses an intelligent packaging production line control system and method, and aims to realize comprehensive monitoring and fault early warning of the intelligent packaging production line. Comprising the steps of collecting electric power parameter data of an electrical component; the power parameter data comprises current, voltage, energy utilization ratio data and a vibration signal of the electrical component; preprocessing the power parameter data to form an electrical characteristic data set; training according to the electrical characteristic data set to obtain a fault state prediction model, and predicting based on the fault state prediction model to obtain a fault probability value of the electrical component; judging whether the intelligent packaging production line has a fault according to the fault probability value of the electrical component; when it is detected that the intelligent packaging production line has a fault, the electrical component having the fault is analyzed, and targeted regulation and control measures are taken, so that efficient fault identification and regulation and control in various special environments are ensured.

The invention relates to an intelligent monitoring method and system based on a power supply and distribution system, and relates to the technical field of power grid monitoring. Establishing a detection interval and determining an interval change parameter; determining an interval change combination according to all the interval change parameters; establishing a historical interval, randomly delimiting a comparison interval of which the width is the detection duration in the historical interval, and determining a comparison change combination in each comparison interval; determining a combination similarity value according to the interval change combination and the comparison change combination, determining the combination similarity value with the maximum value according to a sorting rule, and defining a comparison interval corresponding to the combination similarity value as a similar interval; establishing a prediction interval according to the similar interval, and defining the detection electric power parameter in the prediction interval as a prediction electric power parameter; and outputting an aging early warning signal when the predicted electric power parameter is greater than the preset early warning electric power parameter. The application has the effect of improving the overall operation effect of the power supply and distribution system.

Methods, systems, and devices for wireless communications are described in which one or more UEs may communicate with one or more base stations or transmission reception points (TRPs) based on scheduling information provided to the one or more UEs that schedule multiple transport blocks (TBs) for transmission. The multiple TBs may be divided into separate TB groups and different open loop power control parameters may be applied to the separate TB groups. Different open loop power control parameters may be identified based on a parameter set indication field that is included in scheduling information that schedules the multiple TBs. The parameter set indication field may indicate different open loop power control parameter sets with normal or power boosted parameters for different groups of TBs. In cases where multiple TRPs are used for communications, transmissions to different TRPs may have different power parameters based on the TB group and TRP.

The invention relates to an electric energy quality detection device abnormity early warning method and system and an intelligent terminal, and relates to the technical field of electric energy detection, and the method comprises the steps: obtaining image detection information; when the image detection information is consistent with the reference image information, acquiring an electric energy detection parameter; when the electric energy detection parameter is inconsistent with the reference electric energy parameter, calculating a difference between the electric energy detection parameter and the reference electric energy parameter and taking the difference as an electric energy deviation value; when the electric energy deviation value does not fall into the reference deviation range, determining a wire loosening position according to the electric energy detection parameter and the phase parameter; according to the wire loosening position, traction is carried out through a traction method, and a wire rebound value and a wire specification are obtained; determining a reference rebound value according to the specification of the electric wire; if the wire rebound value is not less than the reference rebound value, continuing to obtain the electric energy detection parameter; and when the wire rebound value is smaller than the reference rebound value, outputting alarm information. The method and the device have the effect of improving the exception handling efficiency of the electric energy quality detection device.

The invention provides a hybrid vehicle energy management method, device and equipment and a medium, and the method comprises the steps: obtaining the real-time traffic information and configuration information of a vehicle, and calculating the demand power and demand torque of the vehicle according to the real-time traffic information and configuration information; calculating energy consumption of the battery according to the battery remaining capacity, the capacity information and the temperature information to obtain energy consumption information of the battery; power parameters of the vehicle are obtained, and the actual power and the actual torque of the vehicle are calculated according to the energy consumption information and the power parameters; actual energy consumption of the vehicle is calculated according to the actual power and the actual torque, and an energy distribution strategy is made according to the actual energy consumption; and constructing a dynamic programming algorithm to perform power distribution on an engine and a motor of the vehicle according to the energy distribution strategy. According to the technical scheme of the embodiment, through real-time interaction of the Internet of Vehicles, the vehicle can complete efficient energy distribution according to the processing information, and energy consumption and environmental pollution of the hybrid power vehicle are reduced.

The invention relates to the field of electric energy quality monitoring and diagnosis, in particular to a grid-connected point electric energy quality on-line monitoring and automatic diagnosis method. The method comprises the following steps: calculating effective values and power parameters of voltage and current, extracting the amplitude and phase of each harmonic, and calculating total harmonic distortion; solving a coupling electromagnetic field equation by using an electromagnetic field coupling effect model; based on a time-space evolution model and in combination with an electromagnetic field reflection coefficient, using an anomaly detection function to locate occurrence time and position of a problem; and constructing a multi-scale electromagnetic reverse analysis model, and constructing a fault diagnosis function by combining a dynamic environment compensation model and introducing an electromagnetic field reflection coefficient and frequency deviation. According to the grid-connected point electric energy quality online monitoring and automatic diagnosis method, through integrating a time-space evolution model, a multi-scale electromagnetic reverse analysis model, an anomaly detection function and a dynamic environment compensation model, accurate control and efficient fault management of a power grid operation state are realized.

The invention relates to the field of electric power parameter measurement, in particular to an electric power parameter detection method and system based on intelligent electric power. The method comprises the following steps: firstly, acquiring different power parameters of each sub-line and power data of a current parameter of a main line at each moment in a preset time period, taking the main line or any sub-line as a target line, and analyzing fluctuation characteristics of the power data of each power parameter of the target line; obtaining the initial load abnormality degree of each power parameter of the target line at each moment, obtaining the real load abnormality degree of the target line at each moment by combining the association degree of load abnormality between the sub-line and the main line, and then adjusting the data acquisition frequency of the target line at the load abnormality time period. And collecting electric power parameter data of the target line according to the adjusted frequency, and detecting the collected electric power parameter data. According to the invention, the accuracy of electric power parameter detection is improved by adjusting the data acquisition frequency in the load abnormal time period.

The invention provides a self-adaptive low-voltage ride-through control method for a network-building type converter considering virtual impedance, and the method comprises the steps: defining a reactive power adjustment coefficient and an active power adjustment coefficient, obtaining a power parameter, building an active-reactive power self-adaptive low-voltage ride-through control strategy formula when the influence of the virtual impedance is not considered, and carrying out the self-adaptive low-voltage ride-through control of the network-building type converter. The relation between the virtual impedance and the output reactive power is analyzed through the reactive power of the network-forming converter control system after the virtual impedance link is switched in, so that the enlightenment that the virtual impedance needs to be introduced to carry out linear correction on the reactive power regulation coefficient is obtained; a corrected value function can be obtained after linear correction is carried out on reactive adjustment parameters through virtual impedance, the corrected value function is finally substituted into a strategy formula, an active-reactive self-adaptive low-voltage ride-through control strategy formula considering the influence of the virtual impedance is obtained, the transient power angle stability of a grid-forming type converter system can be enhanced, and the stability of the grid-forming type converter system is improved. And meanwhile, the problem of over-current of the converter under large disturbance is solved.

The invention provides a combined fleet fault early warning method and system based on intelligent monitoring, and relates to the technical field of data processing, and the method comprises the steps: collecting the power data of a main propulsion ship, and the course data, navigation data and connection device data of a fleet, obtaining a fleet data set, and analyzing the fleet data set to obtain a fault early warning result; propulsive power parameters, course change parameters, navigation synchronization parameters and connection stress parameters are obtained, the state relation between ships is determined, a fleet operation state evaluation matrix is obtained, and anomaly detection is carried out on the propulsive power parameters, the course change parameters, the navigation synchronization parameters and the connection stress parameters according to the evaluation matrix; determining whether abnormal parameters exceeding the preset parameter group exist or not, obtaining abnormal parameter data, analyzing the influence degree of the abnormal parameters on the fleet according to the abnormal parameter data, obtaining a fault influence range, setting an early warning level for the fault according to the fault influence range, and generating early warning information. According to the invention, fleet faults are identified through intelligent monitoring and early warning is carried out.

Provided is a downhole device, a well system, and a method. The downhole device, in one aspect, includes an electromagnetic assembly, as well as a magnetic target positioned proximate the electromagnetic assembly, wherein one of the magnetic target or the electromagnetic assembly is coupled with a movable feature of the downhole device, the movable feature configured to move to physically couple or physically decouple the electromagnetic assembly and the magnetic target. The downhole device, according to this aspect, further includes a sensor electrically coupled to the electromagnetic assembly, the sensor configured to sense for a change in a DC power parameter powering the electromagnetic assembly as the electromagnetic assembly and magnetic target physically couple to or physically decouple from one another, the sensed change representative of a change of impedance within a coil of the electromagnetic assembly and employable to estimate the status or health of the downhole device.

The invention relates to the technical field of downhole operation control, in particular to a downhole operation platform control system and a crane, and the system comprises a task identification module, a demand index module, a power sequencing module, a rhythm switching module and a command reconstruction module. According to the method, through accurate recognition of the structure state and parameter linkage, accurate judgment of the initial operation stage is achieved, false starting and false action of the platform are avoided, coupling analysis between operation data can dynamically set the scheduling priority, it is guaranteed that key tasks are executed in advance, coordination is improved, energy supply conditions are judged through power parameter fusion, and paths are distributed according to needs; the energy utilization efficiency is enhanced, stage rhythm conversion achieves stable switching based on action states and logic mapping, action disjunction is prevented, finally, control instructions are rearranged through feedback time delay and an execution sequence, an efficient and ordered response mechanism is formed, the overall operation efficiency, stability and the intelligent level are improved, and the risk of manual intervention and operation imbalance is reduced.

The invention relates to the technical field of computing power scheduling, and particularly provides a computing power resource allocation method and device, a medium and a program product, and the method comprises the steps: obtaining a target computing power impact factor of a service device cluster at a current moment, and estimating a computing power parameter weight based on the target computing power impact factor associated with each service device and a computing power parameter weight estimation model; determining a target computing power parameter weight of each service device at the current moment, collecting a target computing power parameter value of each service device at the current moment, and determining a computing power evaluation value of each service device based on the target computing power parameter value and the target computing power parameter weight; and determining a computing power resource allocation result based on the computing power demand information at the current moment and the computing power evaluation values of the plurality of service devices in the service device cluster. According to the method and the device, the accuracy and the reliability of the determined computing power condition of the service equipment can be improved, and the allocation reasonability of the computing power resources is improved.

The invention relates to the technical field of power system fault monitoring, in particular to a power system fault monitoring and active control system and method.The method includes the steps that a three-dimensional model of a power distribution network in a target area is constructed, the power distribution network is divided in a refined mode, power parameters of all segments are analyzed in real time, and the operation fluctuation value of the power distribution network is calculated; the method comprises the following steps: determining whether abnormity exists or not, identifying and determining an abnormal segment when the abnormity of the power distribution network is detected, then analyzing the influence degree of the abnormal segment and carrying out grade division to evaluate the potential threat of the fault to the power distribution network, automatically matching a corresponding fault processing channel according to the grade of the influence degree of the abnormal segment, and executing corresponding control measures. Therefore, the fault source can be accurately identified, the control strategy is actively adjusted according to the actual influence condition of the fault, the influence of the fault on the power system is effectively reduced, and the stability and reliability of the system are improved.

The invention discloses a power distribution area reactive compensation control method based on an energy storage PCS converter, and the method comprises the following steps: 1, data collection and processing: collecting the power parameters of a power distribution area in real time through employing the technology of Internet of Things, such as voltage, current, active power, reactive power, and frequency; the data preprocessing module is used for cleaning, filtering and normalizing the collected data to ensure the accuracy and consistency of the data; 2, constructing a multi-objective optimization model; designing an objective function; and constructing a multi-objective optimization model comprising reactive power compensation, active power optimization, voltage stability and energy efficiency improvement. According to the invention, the performance and reliability of the reactive compensation control method for the power distribution area based on the energy storage PCS converter are effectively improved, and more efficient and more stable power grid operation is realized; the system can quickly isolate a fault unit after detecting a fault, realizes cooperative work among multiple PCS converters through distributed optimization, and ensures stable operation of the system.

The invention discloses a live-line measurement method and device for zero-sequence distribution parameters of a double-circuit line with double ends sharing a bus, and the method comprises the steps: measuring the power parameters of the double-circuit transmission line with double ends sharing the bus, and enabling the power parameters to be used for at least indicating the operation state of the double-circuit transmission line with double ends sharing the bus; a line impedance parameter matrix and an admittance parameter matrix are constructed based on the electric power parameters of the double-circuit power transmission line with the double ends sharing the bus, the line impedance parameter matrix is used for indicating impedance characteristics of the double-circuit power transmission line with the double ends sharing the bus, and the admittance parameter matrix is used for indicating admittance characteristics of the double-circuit power transmission line with the double ends sharing the bus; zero-sequence parameters, including at least one of zero-sequence resistance, zero-sequence inductance and zero-sequence capacitance, of the double-circuit transmission line sharing the bus at the two ends are determined based on the line impedance parameter matrix and the admittance parameter matrix. According to the invention, live-line measurement of line zero-sequence distribution parameters of double-circuit transmission lines on the same tower or different towers with double ends sharing buses can be effectively realized.

The invention discloses a flexible resource configuration scheduling method for a new energy power system based on a comprehensive toughness factor, and the method comprises the steps: S1, setting initial power parameters, and setting initial flexible resource configuration; s2, constructing a comprehensive scene set through historical power parameters and a probability model; and S3, carrying out toughness evaluation on the electric power system under the current flexible resource configuration condition, firstly establishing a flexible resource model, then establishing an electric power system toughness evaluation model, and calculating load loss under different scene conditions and an electric energy insufficiency expected value under the condition of the current flexible resource configuration proportion k. According to the method, the toughness indexes of different scenes are calculated through the direct current optimal power flow optimization model considering the flexible resources, then the flexible resource configuration proportion is adjusted according to the comparison result of the indexes and the set value, and the lifting priority is arranged according to the development cost of different flexible resources. The flexible resource configuration considering the toughness requirement is realized, and the toughness of the power system is effectively improved.

The invention discloses a non-contact electric power parameter measurement method, system and device, and a storage medium. The method comprises the steps of obtaining a first output voltage signal and a second output voltage signal generated by induction of a space electric field around a to-be-measured wire; establishing an equation set of a to-be-measured voltage phasor based on the first output voltage signal and the second output voltage signal, and solving the equation set of the to-be-measured voltage phasor to obtain a parameter of the to-be-measured voltage; acquiring a magnetic field measurement signal generated by a space magnetic field around the to-be-measured wire; and establishing an equation set of the current to be measured according to the magnetic field measurement signal, and solving the equation set of the current to be measured to obtain parameters of the current to be measured, thereby effectively solving the problem that the gain and the phase shift are unknown after the probe is connected.

The invention relates to the technical field of thermal management of power adapters, and discloses a multi-mode power management method and device of a gallium nitride adapter. The multi-mode power management method of the gallium nitride adapter comprises the following steps: dividing the interior of the adapter into a plurality of cooling priority regions according to the thermal sensitivity of elements, and integrating a three-dimensional layered micro-channel structure; monitoring the temperature of each area and the state of a cooling system in real time; constructing a self-adaptive flow distribution algorithm, and dynamically adjusting the flow distribution of the cooling liquid according to the real-time temperature state of each region; the maximum allowable power under the current cooling capacity is calculated, and power parameters are dynamically adjusted; dynamically switching the working mode of the adapter; through the synergistic effect of the regional differentiation micro-channel cooling structure and multi-mode power management, the technical effects that the temperature management effect is improved, the reliability is improved, the service life is prolonged, and the power output capacity is enhanced are achieved.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention discloses a multi-dimensional integrated power system fault detection algorithm, and relates to the technical field of power system fault detection, and the algorithm comprises the steps: S1, data collection and preprocessing, S2, correlation analysis, S3, mean square error calculation, S4, extended Kalman filter application, S5, principal component analysis dimension reduction, and S6, fault detection and visualization. According to the fault detection algorithm based on the multi-dimensional integrated power system, multiple correlation analysis methods are integrated, the operation state of the power system is analyzed from multiple angles, the fault detection accuracy can be improved, different correlation analysis methods can capture different types of relations among power parameters, and the fault detection accuracy is improved through the comprehensive analysis result. By means of the method, faults in the system can be recognized more comprehensively and more accurately, the situation of misjudgment or missed judgment caused by limitation of a single analysis method is avoided, and therefore stable operation of the power system is guaranteed.

The invention discloses an energy storage monitoring method and system, electronic equipment and a storage medium, and relates to the technical field of energy storage. The method comprises the following steps: acquiring voltage data and temperature data of a plurality of different types of battery units; generating a voltage response curve of the corresponding battery unit based on each voltage data, and generating a temperature response curve of the corresponding battery unit based on each temperature data; dividing each battery unit into a plurality of battery packs with different charging and discharging characteristics according to each voltage response curve and each temperature response curve, and calculating the residual electric quantity value of each battery unit in each battery pack; in each battery pack, determining an electric quantity difference value between the battery units in combination with the residual electric quantity value of each battery unit, and taking each battery unit of which the electric quantity difference value is greater than an electric quantity threshold value as a target battery pair; and performing concurrent equalization adjustment on the power parameters of each target battery pair until the electric quantity difference value of each target battery pair is smaller than the electric quantity threshold value. By implementing the technical scheme provided by the invention, the overall energy storage efficiency can be improved.

The invention discloses a blockage detection method, a blockage treatment method, a control device and an air conditioning system. The blockage detection method comprises the steps that temperature parameters, pressure parameters and power parameters of the air conditioning system are obtained, and whether the air conditioning system is blocked or not is judged according to the temperature parameters, the pressure parameters and the power parameters of the air conditioning system; and on the basis that the temperature parameter meets the first preset condition, the pressure parameter meets the second preset condition and the power parameter meets the third preset condition, it is judged that the air conditioning system is blocked. According to the blockage detection method, blockage of the air conditioning system can be found in time, and blockage can be treated conveniently in time to prevent abnormal operation of the system caused by blockage.

The invention discloses a 10kV distribution transformer on-load voltage regulation control method and system, and relates to the technical field of transformer on-load voltage regulation, and the method comprises the steps: collecting the three-phase voltage and current of a low-voltage side of a distribution transformer and a tap switch gear signal, and loading a preset voltage regulation control mode and an oscillation region parameter; based on the acquired three-phase voltage and current of the low-voltage side of the distribution transformer and the tap switch gear signal, calculating a feeder comprehensive impedance parameter and a load reactive power parameter, and outputting a transformer operation state index; according to the transformer operation state index, the voltage regulation control mode and the oscillation area rule, current voltage out-of-limit and reactive power deviation are judged, and a voltage regulation strategy triggering instruction is generated according to the judgment result; and calculating upper and lower limit values of feed line correction voltage based on the voltage regulation strategy trigger instruction, and controlling the tap switch to execute voltage regulation action. According to the method, a combined calculation scheme of feeder comprehensive impedance and load reactive power is fused, and dynamic optimization of the triggering condition of the voltage regulation strategy is achieved.

An analysis method and apparatus for measurement uncertainty of power distribution of a reactor core, a device, a storage medium, and a product. The analysis method for measurement uncertainty of power distribution of a reactor core comprises: constructing a simulated operation state on the basis of an actual operation state of a reactor core, determining state parameters of the reactor core in the simulated operation state, and acquiring a group constant of the reactor core (S202); performing calculation on the basis of a material calculation subprogram and the state parameters to obtain material components of each fuel rod in the reactor core (S204); performing calculation on the basis of a power calculation subprogram and the material components of each fuel rod to obtain real power distribution of the reactor core, and acquiring detector reaction intensity of the reactor core (S206); on the basis of the state parameters and the group constant, determining power parameters of the reactor core in the simulated operation state, and performing flux graph simulation on the basis of the power parameters and the detector reaction intensity to obtain simulated power distribution of the reactor core (S208); and determining the measurement uncertainty of power distribution of the reactor core on the basis of a difference between the real power distribution and the simulated power distribution (S210).

The invention relates to the technical field of direct current transmission detection, in particular to a device and method for testing power pipeline connection, and the device comprises a power parameter collection module which is used for collecting current signals and voltage signals in a power pipeline, measuring temperature values at a plurality of positions, obtaining insulation resistance at each node, and measuring grounding resistance of a plurality of grounding points; and summarizing the measurement data to generate an electric power parameter set. According to the invention, through integration and analysis of measurement data of current, voltage, temperature, insulation resistance and grounding resistance, comprehensive monitoring and evaluation of the state of the power pipeline are realized. After the data are integrated, by calculating the mean value, the variance and the peak value of the data and analyzing the spatial distribution of the temperature and the frequency characteristics of the grounding resistance, the understanding of the behavior of the power system is enhanced. According to the data analysis mode, the prediction capability of potential risks and the sensitivity of fault detection are improved, and serious equipment faults and service interruption are effectively avoided.

The invention relates to the field of automation, and particularly provides a crane boom anti-collision method and system based on dynamic detection, and the method comprises the following steps: obtaining power parameters, motion data and structural data of a main engine boom and an auxiliary engine boom; determining the current position information of a main engine boom, and determining the current position information of an auxiliary engine boom; acquiring predicted deceleration position information and predicted stop position information of the main engine arm support based on the motion data, the power parameters and the structural data of the main engine arm support; based on the current position information of the main machine arm frame, the current position information of the auxiliary machine arm frame and the predicted deceleration position information and the predicted stop position information of the main machine arm frame, judging a collision risk assessment result of the main machine arm frame and the auxiliary machine arm frame; and when the collision risk assessment result is early warning, the main engine boom is decelerated, or when the collision risk assessment result is dangerous, the main engine boom is stopped. According to the anti-collision method, collision of the crane boom can be avoided.

The invention relates to the technical field of microchip power compensation, and discloses an efficient power compensation method and system based on a microchip. According to the method, power parameter data of the microchip are collected through monitoring equipment, and the data comprehensively reflect the real-time power condition of the microchip. And then the collected power parameter data and a preset power threshold are compared and analyzed, and a corresponding power compensation control signal is generated according to an analysis result so as to realize accurate power regulation and control. And then the fluctuation characteristic of the power compensation control signal is evaluated to obtain a power compensation lag index and a power compensation efficiency index, and the acquisition frequency of the power parameter data and the execution mode of the power compensation control process are respectively adjusted based on the two indexes, so that the compensation efficiency is improved and the system flexibility is enhanced. And finally, the overall stability of the power compensation control process is monitored, and when the stability does not meet a preset condition, a power compensation invalid mark is generated to guarantee stable operation of the system.