58 results about "Target setting" patented technology

The application discloses an energy equipment intelligent control method and system, and belongs to the technical field of electric energy storage systems. The method comprises the following steps: acquiring environmental parameter information of an energy equipment according to a preset period, and determining demand load change information of the energy equipment based on the environmental parameter information; acquiring a target efficiency cost factor, and determining a target control parameter group based on the demand load change information and the target efficiency cost factor; determining a target controller coefficient corresponding to each control parameter based on a target setting value of each control parameter in the target control parameter group and the target efficiency cost factor; and generating a power adjustment instruction corresponding to each control parameter based on the target setting value and the target controller coefficient. According to the technical scheme, the real-time change of the demand load of the energy equipment is dynamically matched, global adaptive control of the energy equipment is realized, and the energy consumption cost and the equipment control efficiency are accurately balanced, so that the long-term operation economy and stability of the energy equipment under a complex environment are improved.

According to one aspect of the present invention, a radiation measurement system is provided, comprising: an irradiation unit, a target setting unit, a detection unit, and a candidate setting unit. The irradiation unit is configured to irradiate a target with radiation. The target setting unit is configured to place the target within the irradiation range of the radiation. The detection unit is configured to detect radiation after passing through the target. The candidate setting unit is configured to set a candidate of the target and includes a shaft, a first support, and a second support. The shaft extends axially and is configured to rotate about a rotation axis along the axial direction. The first support is configured to rotate with the shaft and includes a plurality of first support regions, each supporting a candidate of the target and arranged along the outer periphery of the first support. The second support is configured to rotate with the shaft and includes a plurality of second support regions, each supporting a candidate of the target and arranged along the outer periphery of the shaft. The first support and the second support are arranged at positions spaced apart from each other in the axial direction.

The invention provides a setting calculation method and system based on different tenses, equipment and a storage medium, and belongs to the field of electric power systems.The method comprises the steps that first order reduction is conducted on a multi-tense model, and a first calculation model and a second calculation model are obtained, the first calculation model comprises a common model of a past tense model, a current tense model and a future tense model, and the second calculation model comprises a difference model of the past tense model, a difference model of the current tense model and a difference model of the future tense model; performing double order reduction on the first calculation model to obtain a plurality of common calculation units; and performing triple order reduction on the plurality of common calculation units and the second calculation model based on the target setting demand to obtain a target model corresponding to the target demand, and determining a setting strategy corresponding to the target demand according to the target model. According to the invention, rapid conversion calculation of the power grid setting constant value in different time states can be realized.

The application provides a whole vehicle sound source noise target setting method, system, device and medium, relates to the NVH technical field, and the method comprises the following steps: firstly, obtaining the sound pressure level noise data of a test vehicle under a target working condition through a first bench test; then, respectively determining the sound transmission functions of the test vehicle and a target vehicle through a second bench test; then, performing frequency spectrum analysis on the sound pressure level noise of the test vehicle to obtain target sound pressure level noise in a specific frequency range. Combined with the sound pressure level noise of the test vehicle and the sound transmission function thereof, the sound source noise of the test vehicle is calculated; further, the target sound pressure level noise and the sound transmission function of the target vehicle are utilized to determine the sound source noise of the target vehicle; finally, according to the sound source noises of the test vehicle and the target vehicle, the sound source noise target value of the target vehicle is set. The application can effectively solve the problem that the bench test is inconsistent with the actual performance of the whole vehicle, and improve the accuracy and rationality of the sound source noise target setting.

The invention belongs to the technical field of talent management development, and relates to a staged progressive talent growth path planning method and system, and the system collects and integrates the static and dynamic data of talents through a talent portrait construction module to generate an initial talent portrait; the growth stage division module divides progressive growth stages and sets capability thresholds based on the initial talent portraits and the organization development objectives; the stage target setting module is used for disassembling a stage target into quantifiable sub-target schemes with time limit; the resource matching and pushing module is used for matching resources according to the target and the portrait and automatically pushing the resources to the talent end; the capability evaluation feedback module is used for evaluating a stage target achievement condition and generating an evaluation report; the path dynamic adjustment module progressively or triggers path adjustment based on the evaluation report judgment stage; and the data storage and analysis module is used for storing the whole-process data, carrying out multi-dimensional analysis and optimizing parameters. According to the invention, personalized planning, dynamic adjustment and whole-process closed-loop management of talent growth paths can be realized.

The application discloses a college performance evaluation management system and method based on multi-source data fusion, and relates to the technical field of college performance evaluation management.The system comprises a target setting and disassembly module, a disassembly rationality evaluation module, a target progress early warning module and a performance accounting and improvement module.The application assigns initial indexes to corresponding executors, then performs weight distribution on the initial indexes of each target management level to obtain corresponding initial weights, performs multi-level index disassembly rationality evaluation, judges whether to perform index disassembly optimization, then performs performance accounting, judges whether to push early warning information to a preset person in charge, finally performs performance accounting update evaluation after performance accounting, and judges whether there is a demand to generate a performance accounting update scheme, thereby improving the effectiveness of college performance evaluation management and solving the problem of low effectiveness of college performance evaluation management in the prior art.

This application relates to the field of equipment testing, providing a method, device, and storage medium for configuring parameters of a simulated load. The method obtains the desired test parameters of the power supply device under test, performs a load test on the device based on these parameters, obtains measured data, and adjusts the resistance value of the simulated load device to determine the target setting parameters if the difference between the actual output power and the desired power value is greater than a preset threshold. Similarly, if the difference between the desired power value and the actual output power is greater than a preset threshold, the load power of the simulated load device is adjusted to determine the target setting parameters. This method, through code scripts, enables automated parameter setting of the simulated load device, avoiding human error and improving the efficiency of determining the target setting parameters.

The invention provides an intelligent self-adaptive tensioning system and method for a belt conveyor under a mine. The system comprises a belt assembly, a tension detection unit, an intelligent control unit and an execution mechanism which form a closed-loop control system. The tension detection unit monitors the belt tension in real time and outputs a signal; the intelligent control unit receives the processing signal, calculates an adjustment amount according to a self-adaptive control algorithm and generates an instruction; and the execution mechanism receives the instruction to adjust the belt tension. A fuzzy PID (Proportion Integration Differentiation) control algorithm is adopted, a tension prediction model is included, and a tension adjusting assembly can be accurately adjusted. The method comprises the steps of tension detection, data transmission, preprocessing, working condition recognition and target setting, tension prediction, control quantity calculation, instruction generation and execution, closed-loop feedback, safety monitoring and the like. Real-time accurate automatic adjustment is achieved, frequent manual intervention is not needed, complex working conditions can be dealt with, the belt problem is avoided, the production efficiency is improved, the service life of equipment is prolonged, and the operation performance is optimized.

To provide a power system capable of performing control considering demand values in power control using induction command values.SOLUTION: A power system S1 includes a processing device A1 including a target setting unit 13 that sets a system target value and a command value calculation unit 14 that calculates an induced command value, and a plurality of power control devices B1 that controls the output power of power equipment X on the basis of a common induced command value calculated by the processing device A1. The target setting unit 13 includes a storage unit 131 storing set target values, a demand prediction unit 132 that estimates predicted demand, a demand difference determination unit 133 that determines whether a demand difference prediction exists where a demand difference exists between the predicted demand and the target demand, and a target change unit 134 that changes the system target value in a direction that reduces the demand difference when a demand difference prediction exists. The command value calculation unit 14 calculates the guidance command value using the modified target value changed by the target change unit 134 when a demand discrepancy prediction occurs.SELECTED DRAWING: Figure 2

The invention provides a switch cabinet partial discharge detection method and system and a storage medium, and belongs to the technical field of partial discharge detection.The method specifically comprises the steps that when a setting processing strategy of a harmonic monitoring device in a combination does not belong to a target setting strategy, an abnormal switch cabinet is determined according to partial discharge detection data of the switch cabinet in the combination, according to the distribution data of the partial discharge detection time period of the abnormal switch cabinet, when it is determined that optimization processing of the setting processing strategy of the harmonic monitoring device in the combination needs to be carried out, according to the change coincidence condition of the partial discharge detection data of different switch cabinets in the combination and the setting processing strategy of the harmonic monitoring device, optimization processing is carried out. The partial discharge detection method of the combined switch cabinet is determined, and the reliability of partial discharge detection processing is improved.

A braking control device 70 comprises: a target setting unit 115 that, when stopping a vehicle 10, performs an at-vehicle-stop target setting process which includes decreasing a target regenerative braking force and increasing a target frictional braking force; a correction unit 117 that corrects the target frictional braking force so that a deviation between a target value and an actual value of deceleration of the vehicle 10 is reduced; and a stop control unit 119 that, when the at-vehicle-stop target setting process is being performed, stops the vehicle 10 by operating a regenerative braking unit 20 on the basis of the target regenerative braking force and operating a friction braking unit 40 on the basis of a corrected target frictional braking force.

An object of the system according to the embodiment is to realize equal corporate planning by learning the work and experience value of the manager.SOLUTION: A system according to an embodiment includes a manager work learning unit, an objective setting unit, a task management unit, an evaluation unit, a feedback unit, a compliance monitoring unit, an indication unit, and a consultation handling unit. A manager work learning part learns the work and experience value of a manager. The target setting unit sets a target. The task management unit performs task management. The evaluation unit performs business evaluation. The feedback unit provides feedback. The compliance monitor monitors compliance compliance. The pointing out unit points out to a subordinate. The consultation handling unit acts for the consultation with the superior.SELECTED DRAWING: Figure 1

The application discloses an intelligent decision-making method and system for satellite intelligence support based on machine learning, and the method comprises the following steps: acquiring a satellite remote sensing image in satellite intelligence, inputting the satellite remote sensing image into a CNN neural network, and finding an identified target in the satellite remote sensing image; setting a shape feature extraction function, extracting the shape feature of the identified target, and setting a texture feature extraction function, extracting the texture feature of the identified target, wherein the shape feature of the identified target is extracted by performing a rotational symmetry operation on the identified target and calculating the height index of the identified target; combining the extracted shape feature and the texture feature, determining the morphology of the identified target, comparing the morphology with a preset object classification dictionary, thereby determining the object classification of the identified target, and making a decision according to the object classification of the identified target.

The embodiment of the invention provides auxiliary focusing equipment, method and system and a storage medium. The auxiliary focusing device is used for acquiring a calibration image pair obtained by performing image acquisition on the calibration pattern by the camera device and the distance measuring device; based on matched feature point pairs in the calibration image pairs, determining and storing a mapping relation between a lens of the camera device and the distance measuring device, and acquiring a scene image of a shooting scene acquired by the camera device and a depth image of the shooting scene acquired by the distance measuring device, and determining depth information of an object in the scene image based on the mapping relation and the depth image, determining a current depth-of-field range of the lens based on a motion condition of the lens fed back by the focus adjusting device, and displaying the depth information and the depth-of-field range on a display interface. Therefore, the user can conveniently know the real-time focusing condition, focus adjustment or focusing target setting is carried out based on the information, and the focusing efficiency of the user is improved.

A model learning unit learns a prediction model on the basis of learning data, a target setting unit sets a target output parameter value by interpolating between a goal output parameter value and an output parameter value which is the closest to the goal output parameter value in output parameter values in the learning data, a processing condition search unit estimates input parameter values which corresponds to the goal output parameter value and the target output parameter value, a model learning unit updates the prediction model by using a set of the estimated input parameter value and an output parameter value which is a result of processing that a processing device performs as additional learning data.

An object of a system according to an embodiment is to provide specific advice for a user to efficiently manage expenses and achieve a savings goal.SOLUTION: A system includes an expenditure tracking part, a saving target setting part, a saving advice part, and an investment advice part. A spending tracker tracks spending of the user. A savings goal setting unit sets savings goals based on the expense data tracked by the expense tracking unit. The saving advice unit provides advice on saving on the basis of the saving target set by the saving target setting unit. The investment advice unit provides advice on investment on the basis of the saving target set by the saving target setting unit.SELECTED DRAWING: Figure 1

The embodiments of the present disclosure relate to an interaction method and apparatus, and a device and a storage medium. The method proposed herein comprises: displaying a set of preset event templates used for live streaming; in response to having received the selection of a target event template in the set of preset event templates, displaying a first configuration window associated with a live-streaming interaction event, wherein the live-streaming interaction event corresponds to the selected target event template, in the first configuration window, a configuration flow corresponding to the target event template is displayed, and the configuration flow comprises a plurality of setting items in a predetermined order; and in response to the selection of a target setting item among the plurality of setting items, displaying a second configuration window for the target setting item.

The invention discloses a game component parameter editing method and device, a storage medium and equipment, and the method comprises the steps: in response to triggering a simulation preview parameter editing mode for a target component, displaying a preview window on a graphical user interface, and loading and displaying the target component in the preview window; and in response to an adjustment operation for at least one physical parameter of the target component, driving the preview window to display a simulation effect corresponding to the adjustment operation. According to the game component parameter editing method provided by the invention, the checkable preview options are provided in the target setting mode and the independent preview window is displayed, so that a player can intuitively observe the actual performance of the component in the game when adjusting the parameters of the target component, the intuition and efficiency of editing are greatly improved, and the user experience is improved. And the tedious process of repeatedly exiting the setting for testing is avoided.

The application discloses a VVT minimum target phase control method, and steps are as follows: determining a basic VVT minimum phase: by controlling VVT activation and reducing a VVT target phase, comparing a phase initial value and fuel consumption difference when the VVT phase is 0, and determining the basic VVT minimum phase; determining an original VVT minimum phase: correcting the basic VVT minimum phase to obtain the original VVT minimum phase; VVT minimum phase self-learning: sequentially entering a self-learning stabilization stage, a self-learning activation stage, a self-learning updating stage and a self-learning storage stage, storing VVT minimum phase learning coefficients in an EEPROM in each working condition and correcting the VVT minimum phase learning coefficients to obtain a final VVT minimum phase. The application also discloses a VVT minimum target phase control device. The application can be widely applied to the engine control field and avoids power and emission problems caused by too small target setting in the VVT target setting process.

Provided is a waveform display device that can easily designate an analysis target range just by selecting a location to be analyzed with regard to a tool trajectory. This waveform display device comprises: a positional information acquisition unit that acquires, from a control device that controls a machine tool, motor positional information for a drive shaft of the machine tool during workpiece machining; a shaft information setting unit that sets shaft information indicating the shaft configuration of the drive shaft of the machine tool; a tool trajectory display unit that calculates the trajectory of a tool tip point during workpiece machining by a tool mounted on the machine tool on the basis of the motor positional information and the shaft information and displays the trajectory as a waveform; an analysis target setting unit that sets an analysis target position relating to the trajectory of the tool tip point; an analysis target range generation unit that generates and displays an analysis target range containing a solid body including the set analysis target position; and a measurement point sorting unit that sorts out and displays a measurement point included in the analysis target range generated by the analysis target range generation unit from within the trajectory of the tool tip point.

The invention discloses an unmanned aerial vehicle swarm target recognition and positioning method based on artificial intelligence, and relates to the technical field of target recognition and positioning, and the method comprises the steps: carrying out the recognition importance degree evaluation of different objects in a flight region, and obtaining important objects in the flight region; determining a target unmanned aerial vehicle of an important object; the uncertainty of the target unmanned aerial vehicle in the important object recognition process is captured, and the conflict condition of different modal indexes in the target unmanned aerial vehicle in important object recognition is analyzed; acquiring a historical target identification record from the platform, and analyzing the object category of the important object in combination with the modal conflict data to determine the category of the important object; according to the category of the important object and the target setting data, the target in the flight area is obtained, and the unmanned aerial vehicle swarm is used for positioning the target, so that the waste of resources in the unmanned aerial vehicle swarm is reduced, the target identification efficiency and accuracy are greatly improved, and the target can be accurately positioned.

The invention relates to the field of computer application, in particular to a setting item control method and electronic equipment. The setting item control method comprises the following steps: monitoring a target signal carrying an indication target control setting item in response to a setting interface of a server running on a basic input and output system; monitoring a target signal, obtaining identity information of a sending source of the target signal, and verifying whether the sending source has the operation authority of the target signal; in response to the operation authority, loading a setting item corresponding to the target signal according to a control mode indicated by the target signal; in response to the control content indicated by the completion target signal, setting configuration of the control content setting interface indicated by the completion target signal is used as target setting configuration to be applied to the basic input and output system. According to the method, the technical problems of complex setting item control operation, low safety and long time consumption when the basic input and output system is optimized are solved, and the technical effects of simplifying the operation, improving the modification operation safety and shortening the modification duration are achieved.

The invention discloses a multi-target tracking method based on a traffic scene, and relates to the technical field of target tracking, and the method comprises the steps: constructing a target tracking data set of the traffic scene, the target tracking data set comprising a target category, a target ID, and target two-dimensional detection frame information; in the traffic scene, setting a frame-by-frame ordered bounding box for each tracked target according to a multi-target tracking task; constructing a network structure of an end-to-end multi-target tracking model based on the frame-by-frame ordered bounding box and the target tracking data set; and setting a loss function trained by the end-to-end multi-target tracking model, and performing model optimization and parameter updating. The technical problem that a multi-target tracking method in the prior art is insufficient in accuracy and robustness in a complex traffic scene is solved, and the technical effect of improving tracking precision and robustness is achieved by constructing an end-to-end multi-target tracking model.

The present application provides a kind of excavator anti-overturning control method, device, excavator and storage medium, the method comprises: according to the stroke sensor signal of oil cylinder stroke sensor collected by displacement stroke sensor, determine stability coefficient;According to stability coefficient and preset threshold set, determine target setting action, and preset threshold set includes the threshold value corresponding when excavator is in different stable situation;Control excavator to execute target setting action.The method is based on stability coefficient and more comprehensive preset threshold set, for different stability situation of excavator in actual operation process, determine the corresponding target setting action, and then control excavator to execute the target setting action, realize the flexible control to excavator, effectively reduce the overturning risk of excavator.

The invention relates to a control method for a personalized air conditioner function, electronic equipment, a medium and a vehicle-mounted air conditioner controller. The control method comprises the steps that an air conditioner switch setting interface for a target space is displayed; the air conditioner switch setting interface displays at least two air conditioner setting controls corresponding to air conditioner control functions and a starting trigger control; in response to target setting operations triggered for all the target setting controls, control parameters of target air conditioner control functions corresponding to all the target setting operations are obtained; the target setting control is an air conditioner setting control in at least two air conditioner setting controls corresponding to the air conditioner control function; and in response to the operation for starting the trigger control, the air conditioner control function corresponding to each target setting operation is controlled to be started facing the target space, and each target air conditioner control function is controlled to run based on the control parameters. By adopting the method, the tedious steps of starting and setting various functions one by one can be avoided, so that the intelligent level of the vehicle and the vehicle use experience of a user are improved.

The application discloses a cable laying control method, system, device and equipment based on wireless visual monitoring. The method comprises the following steps: acquiring cable monitoring data of each laying device; identifying the marking point according to the cable monitoring data and calculating a real-time cable laying speed in combination with camera calibration parameters; comparing the real-time cable laying speed with a preset target setting speed to obtain a speed comparison result; and generating a speed adjustment instruction of the corresponding laying device in the case that the speed comparison result indicates that there is a difference between the real-time cable laying speed and the target setting speed. The application can improve the accuracy of cable laying speed detection and avoid causing cable accumulation or excessive cable stretching.

The invention provides a micro-nano satellite group collaborative omnidirectional group target situation establishment method, which comprises the following steps of: designing micro-nano satellite group roles including sensing satellites, gaming satellites, decision-making satellite quantity and load design; designing initial configurations of a sensing star, a gaming star and a decision star, wherein the sensing star is responsible for global target search, the gaming star is responsible for target confirmation in a suspicious area, and the decision star is responsible for marking the orientation and mark number of the target; the decision-making star implements target distribution; the content of the target situation is preliminarily established, the sensing star gives the initial distance and speed between the game star and the target according to the target mark information and transmits the initial distance and speed to the corresponding game star and the decision star, and the decision star additionally adds the speed and position mark of the target; the target situation is updated, wherein the sensing star guides the decision star to move to the target set distance, the sensing star guides the game star to move to the target set distance, the decision star updates the targets obtained by the sensing star and the game star, and the distance and the speed are additionally marked for each target.

This disclosure provides a live streaming data analysis method and a live streaming data analysis device. The live streaming data analysis method may include: in response to a first account's target setting operation for a target task, obtaining a total target parameter set for the target task, the total target parameter including sub-target parameters associated with multiple second accounts, the multiple second accounts being accounts associated with the target task, the target task including a preset task time; obtaining live streaming-related data of the multiple second accounts within the preset task time of the target task; based on the live streaming-related data, determining the sub-target progress corresponding to the sub-target parameters associated with the multiple second accounts and the total target progress corresponding to the total target parameter; and based on the sub-target progress and the total target progress, determining progress analysis data of the target task.

The invention relates to a video processing apparatus and a video processing method. A video processing device is provided with: a scene determination unit that determines a scene of an input image; a similarity determination unit that determines the degree of similarity between frames of the input image using the image features; a setting information generation unit that finds target setting information indicating a setting value for video processing on the basis of the determination result of the scene and the image feature of the frame; a calculation unit that obtains switching speed information indicating a setting value switching speed from a setting value for the video processing of the input image before the switching of the scene to a setting value for the video processing of the input image after the switching of the scene, on the basis of the determination result of the degree of similarity; and a setting information determination unit that determines speed variable setting information for causing a setting value for video processing for the input image to reach a setting value based on the target setting information at a speed based on the switching speed information.

The invention provides a multi-target cooperative AI converter control system and method based on complex working conditions, and relates to the technical field of converter control. The system comprises a complex working condition sensing module, a multi-target setting decomposition module, an AI cooperative control module and a monitoring evaluation module. The complex working condition sensing module is used for acquiring working condition characteristic data. The multi-target setting and decomposing module is used for setting a multi-target control strategy and decomposing multiple targets into sub-targets. And the AI cooperative control module is used for acquiring a control instruction of the switching frequency of the converter, adjusting a modulation mode of the converter and adjusting a heat dissipation strategy. And the monitoring evaluation module is used for evaluating the target completion degree. According to the invention, through cooperative work of multiple modules, intelligent and refined control and monitoring of the converter are realized, the performance and reliability of the converter can be effectively improved, and the operation cost is reduced.