13results about How to "Maximize operating efficiency" patented technology

The invention belongs to the technical field of dredging engineering, and discloses a method for calculating a standardized drag head excavation model of a drag suction dredger, which comprises the following steps: determining a standardized drag head corresponding to the drag suction dredger based on water area position information of a current water area, and determining corresponding rake tooth information based on the standardized drag head; the rake tooth information and the water area position information calculate the mechanical ground breaking amount in unit time and a corresponding rake tooth ground breaking parameter table based on a mechanical ground breaking amount calculation model; on the basis of high-pressure water outlet characteristic information corresponding to the trailing suction dredger, the hydraulic ground breaking amount in unit time and a corresponding high-pressure water outlet characteristic table are calculated on the basis of a hydraulic ground breaking amount calculation model according to the high-pressure water outlet characteristic information; the hydrological environment information is divided into dredging influence grades according to the dredging requirements of the to-be-dragged suction area through a fuzzy function; and a multi-factor coupling excavation yield calculation model is established, and the excavation yield of the drag suction dredger under the action of the standardized drag head is obtained by considering the environmental constraint of the dredging influence level on the mechanical ground breaking amount and the hydraulic ground breaking amount in unit time.

The invention provides a flywheel array state-of-charge consistency power distribution method considering loss. The flywheel array state-of-charge consistency power distribution method is used for power distribution operation optimization of a flywheel energy storage array. Firstly, an array controller receives a total power instruction, feeds back a system available state, receives a unit operation state fed back by a unit controller, and carries out calculation and allocation preparation. Secondly, setting an optimal operation curve corresponding to the state of charge of the unit, and fitting the corresponding relation between the unit operation loss and the state of charge, which is set in advance; and finally, according to the consistency-efficiency objective function under the set weight, solving the optimal reference power allocated to the unit. According to the method, a solution is provided for array power distribution and optimization, and dual consideration of array operation consistency and efficiency is realized.

The present invention provides a sensor control system for a refrigerant recovery machine, and relates to the technical field of data processing. The method comprises: receiving an operation instruction of a user through a control panel, and controlling an AC motor to drive a compressor to operate according to the operation instruction, collecting temperature data, pressure data and flow data through a temperature sensor, a pressure sensor and a flow sensor, and calculating the temperature change amplitude, pressure change amplitude and flow fluctuation amplitude at adjacent time points, obtaining scores between two, constructing a correlation score matrix, judging the change trend of temperature, pressure and flow, adjusting a preset threshold range group, obtaining a dynamic threshold range group, and generating an alarm signal when the detection data set is not within the dynamic threshold range group, adjusting the operating parameters of the AC motor, and generating a maintenance signal and fault state operating data of the compressor. The present invention can control the operating state of the refrigerant recovery machine through the data detected by the sensor.

The invention relates to a device and a method for safely interlocking a roller way and a crown block. The device comprises a coding cable address detector, a redundancy cold detection positioning sensor, a crown block weighing device, a height encoder, a crown block PLC system, a roller way PLC system, an on-vehicle wireless WIFI, a ground wireless WIFI and a roller way transmission system. The coded cable address detector and the redundant cold detection positioning sensor are combined with logic calculation to form a parking chain of the roller way, and the crown block weighing device and the height encoder are combined with logic calculation to form a roller way chain release command, so that the safety chain between the casting blank conveying roller way and the casting blank hoisting crown block is realized. And meanwhile, the conveying efficiency of the roller way is greatly improved.

The invention discloses a load optimization method and device for a supercritical traditional generator set in closed-loop operation. The method comprises the following steps: acquiring load operation data of the supercritical traditional generator set in a closed-loop operation state; analyzing a response relationship between each operation parameter and a load instruction in the load operation data, establishing a closed-loop operation model of the supercritical traditional generator set, and constructing an optimization constraint condition and a load optimization objective function in combination with a plurality of optimization dimensions; and solving the load optimization objective function by adopting a multi-objective evolutionary optimization algorithm in combination with the optimization constraint condition to obtain an optimal load instruction solution set and determine an optimal load instruction. By constructing a closed-loop operation model of the supercritical traditional generator set and combining an optimization constraint condition and a load optimization objective function, an issued load instruction is softened and corrected, so that the load instruction is more in accordance with an actually reachable dynamic behavior of the supercritical traditional generator set; therefore, stable and efficient operation of a supercritical traditional generator set in a high-proportion new energy system is supported.

The application discloses a kind of chip surface submicron dirty spot half-supervised automatic positioning method, comprising: S1, chip surface image is shot;S2, rough positioning: construct double memory bank driven semi-supervised AE defect positioning network, quickly resolve the two-dimensional center coordinates and radius of dirty spot;S3, fine positioning: the rough positioning area of dirty spot is carried out high-density depth data acquisition;S4, dirty spot three-dimensional model construction: the accurate depth value of each dirty spot is fused with the two-dimensional coordinate in rough positioning, and the high-precision point cloud model of micro dirty is generated.The method constructs double memory bank driven semi-supervised AE defect positioning network and based on galvanometer scanning image field telecentric spectral confocal detection system, effectively solve the detection problem caused by the scarcity of micro dirty sample in industrial scene, break through the bottleneck of low efficiency of traditional full-field scanning, realize the efficient, accurate three-dimensional reconstruction and quantitative analysis to the geometry appearance of chip surface submicron dirty.

The invention discloses an energy storage system storage battery charging and discharging strategy and parameter matching method, and relates to the technical field of energy storage systems, and the method comprises the following steps: constructing a multi-objective optimization model containing economical efficiency and reliability; solving the multi-objective optimization model through a non-dominated sorting genetic algorithm, and generating a leading edge solution set; establishing a scene classification library and a fuzzy rule library, collecting power grid state data in real time, and matching a current operation state with scene library features through a clustering algorithm; dynamically selecting a fuzzy rule base according to the scene type; selecting an optimal charging and discharging strategy from the leading edge solution set based on a fuzzy decision method; and dynamically controlling the charging and discharging power of the storage battery according to the optimal strategy, and matching parameter constraints of the storage battery. According to the energy storage system storage battery charging and discharging strategy and parameter matching method, through multi-objective optimization, the strategy is flexibly adjusted according to the actual condition of the power grid, and maximization of the operation benefit of the power grid is facilitated.

The application discloses a kind of logistics network balance optimization methods considering production, transportation, marketing, storage and use whole chain cooperation, comprising the following steps: obtaining the basic information of each board industry model in the integration range of relevant enterprises;Obtain the coal logistics network balance optimization model data mapping of production, transportation, marketing, storage and use whole chain cooperation;Based on the foregoing basic information and data mapping, the decision variables and constraint conditions of optimization problem are constructed, the constraint conditions include coal mine constraints, outsourcing constraints, loading platform constraints, railway constraints and sales area constraints;The objective function of optimization problem is constructed, and the objective function includes the maximum model of transportation quantity, the minimum model of cost, the maximum model of profit and multi-objective optimal model;Based on the decision variables and constraint conditions, the optimal value of each objective function is solved respectively.

The invention provides an electrochemical energy storage low-voltage distribution network voltage treatment method based on a heuristic algorithm, and relates to the technical field of power grid dispatching, and the method comprises the steps: 1, carrying out the prediction of a transformer area load; 2, making a first time scale scheduling plan of energy storage equipment, and planning energy storage active power; 3, high-frequency power flow checking is carried out, and a checking result is obtained; step 4, checking whether the node voltage has a voltage out-of-limit risk or not; if the out-of-limit risk exists, executing the step 5; if the out-of-limit risk does not exist, executing the step 6; 5, starting a high-frequency energy storage scheduling plan correction algorithm to obtain a second time scale scheduling plan; step 6, generating a scheduling instruction of this time, and executing an energy storage operation; 7, judging whether the current scheduling period is still in the current scheduling period or not; if the current scheduling period is in the current scheduling period, executing the step 3; if the current scheduling period is not in the current scheduling period, executing the step 1; the problem of out-of-limit of a low-voltage power grid is solved by using electrochemical energy storage equipment.

This invention proposes an optimization method and system for energy storage systems based on a multi-objective ant colony optimization algorithm, belonging to the field of grid regulation technology for energy storage systems. It aims to efficiently solve the coordinated optimization problem of energy source, grid, load, and storage. The core of this method lies in constructing multiple heterogeneous heuristic information sets with different optimization biases, and dividing the ant colony into different groups. Each group searches for a scheduling scheme in parallel based on a specific heuristic information. This mechanism breaks through the limitations of traditional single search, greatly improves the diversity of global search, and can generate higher-quality and more widely distributed trade-off solution sets, thereby achieving optimal coordination between economic and environmental goals.

The embodiment of the invention provides a speed regulation method and device for a harvesting machine and the harvesting machine. The method comprises the steps that after the harvesting machine starts walking operation, the first current rotating speed and the first current power of a roller motor are determined; judging whether the roller motor reaches a first working capability upper limit according to the first current rotating speed and the first current power; under the condition that the roller motor does not reach the first working capability upper limit, determining a second current rotating speed of the engine and a second current power of the harvesting part; judging whether the harvesting component reaches a second working capability upper limit according to the second current rotating speed and the second current power; under the condition that the harvesting component does not reach the second working capability upper limit, the target rotating speed of the walking motor is determined according to the first current power and the second current power; the rotating speed of the walking motor is adjusted according to the target rotating speed, so that the working capacity of the mechanical part and the roller motor is maximized, the harvesting speed is increased, the harvester is prevented from being blocked, and the working efficiency of the harvesting machine is maximized.

The invention discloses a linear Fresnel type heat collection field reflector parameter optimization design method and system. The method comprises the steps that a two-dimensional space coordinate system is established according to the arrangement direction of a linear Fresnel type heat collection field and the axis direction of a reflector; based on the two-dimensional space coordinate system, a linear Fresnel type heat collection field reflector parameter optimization model is constructed, constraint conditions are set, and the linear Fresnel type heat collection field reflector parameter optimization model takes annual average reflector field efficiency maximization as a target function; and solving the linear Fresnel heat collection field reflector parameter optimization model by combining a particle swarm algorithm and a genetic algorithm so as to determine reflector parameters which maximize annual average reflector field efficiency. By means of the scheme, a unified geometric reference is provided for optimization by establishing the accurate two-dimensional space coordinate system, the parameter optimization model with annual average mirror field efficiency maximization as the core target is established, and the long-term operation performance of the heat collection field can be comprehensively considered.

This invention discloses a method for predicting and planning operational risks of industrial robots based on probabilistic twins. The method includes: establishing an industrial robot model, defining at least one intrinsic physical parameter affecting the dynamic behavior of the industrial robot as a random variable with a prior probability distribution, thus forming a probabilistic twin model of the industrial robot; acquiring sensor observation data from the physical world during the industrial robot's task execution, and updating the probability distribution of the intrinsic physical parameter using a Bayesian calibration method based on the difference between the observation data and the prediction results of the probabilistic twin model; probabilistically predicting the future risks of the industrial robot executing candidate task paths based on the updated probabilistic twin model, and planning or adjusting the industrial robot's task path based on the risk prediction results; this invention enables path planning to intelligently balance safety, task completion, and active learning, significantly improving the robot's autonomous decision-making ability and operational efficiency.