198 results about "Load optimization" patented technology

The invention discloses a third-party data service system based on Internet-of-Things data collecting. The third-party data service system comprises a data collecting cloud service module, a Web portal management module, a Web Service remote calling assembly module, a mobile application module and a data center management module. The data collecting cloud service module comprises a thread pool dispatching management module, a load optimization management module, a network management module, a data communication management module, a data storage module and an alarm module. The Web portal management module comprises a user and authority management module, an equipment management module, a monitoring point management module, a real-time monitoring module, a visual customization module, a spare part management module, an after-sale maintenance management module, a repair management module, a remote operation management module and a remote diagnosis module. The mobile application module comprises a real-time inquiry module, an alarm inquiry module, a repair registration module, a user feedback module, a maintenance inquiry module and a real-time warning module.

The invention belongs to the technical field of microgrid optimization operation and discloses a method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration. The method includes constructing a user multi-period electricity price response model based on price elasticity matrix of demand, providing an energy storage charge and discharge strategy and a photovoltaic microgrid optimization operation strategy under time-of-use electricity price, and conducting optimized configuration of photovoltaic microgrid energy storage capacity by using a modified non-dominated sorting genetic algorithm (NSGA-II) according to system scheduling and constraint conditions with the maximal photovoltaic absorption and maximal net profit as two goals. The influence of load optimization caused by user side participating demand responses on photovoltaic microgrid energy storage capacity configuration under power market environment is taken into consideration, rationality of photovoltaic microgrid energy storage investment is achieved while satisfying the requirement of a system.

A method and apparatus for string load reduction and real-time pitch alteration on stringed instruments. A string load is substantially reduced with a camming surface actuator so that the pitch can be rapidly manipulated by an input force which is generated by human power or an electronically controlled motor. Various types of camming surfaces are provided as well as a load optimization calculation which determines the shape of a variable ratio camming surface. Multiple embodiments are described including a constant force pitch alteration device, a motorized control system with pitch compensation and real-time tracking of string pitch to multiple relative input signals, a control signal generator based on real-time position measurement of a control object relative to an electromagnetic radiation sensor, and methods for generating mechanical looping, vibrato, and polyphonic chorus effects which can be automated or dynamically controlled by a user. Other embodiments are described and shown.

Techniques for enabling real-time enterprise workforce management over a telecom network are provided. The techniques include receiving real-time workforce information from one or more telecom networks, and using the real-time information for dynamic load optimization to enable real-time enterprise workforce management.

A system, method and article of manufacture for query execution management in a data processing system and, more particularly, for optimizing execution of queries that are repeatedly executed against one or more databases in a data processing system. One embodiment provides a method for optimizing execution of a query that is repeatedly issued from an issuing entity against a database. The method comprises executing the query against the database to obtain an initial query result, returning the initial query result to the issuing entity, and managing re-execution of the query. Managing the re-execution comprises storing the initial query result in a temporary query result data structure, executing a trigger procedure for tracking database changes, when the trigger procedure detects a database change, updating the temporary query result data structure on the basis of the detected database change, and when the query is re-executed against the database, returning the temporary query result data structure to the issuing entity as query result.

The invention provides a multi-target and multi-constraint optimal scheduling method of a fuel-steam combined cycle generator set, comprising the following steps of: 1, establishing a multi-target load distribution optimization problem mathematical model of a set at a certain period; 2, designing a load optimization target function of a multi-constraint set at the period; and 3, based on an ant colony algorithm, designing a multi-target and multi-constraint load optimal scheduling scheme of the set at the certain period. According to the multi-target and multi-constraint optimal scheduling method of the fuel-steam combined cycle generator set, which is established based on the invention, loads among all the sets of the whole factory can be reasonably distributed in real time under the precondition of ensuring safe and environment-friendly operation of the sets; and the generation coal consumption rate is reduced to the greatest extent, the win-win of effective existence of a power grid pitch peak and a power plant is realized, and the coordination with a natural gas network is realized.

The invention discloses an optimal control method for grinding and grading mineral powder, which is characterized in that: the grinding load and grinding concentration is obtained by sampling grinding-grading process signal, with the help of the advanced control and through testing the state in the grinder; the optimal grinding load, the optimal sand-returning ratio, the optimal grinding concentration and the optimal overflow concentration are obtained through the grinding load optimization, the sand-returning ratio optimization, the grinding concentration optimization and the overflow concentration optimization; the feeding quantity is obtained through the control algorithm of the feeding quantity ; the sand-returning water volume is obtained through the control algorithm of the sand-returning water volume; the discharging water volume is obtained through the control algorithm of the discharging water volume. The optimal control method has advantages that: the global optimization to the grinding-grading process is realized; and meanwhile the diagnosis is done to reveal the fault of the grinding-grading process; the appraisal and analysis is executed in the grinding-grading process; reasonable advice is come out; continuous, stable, safe and economic running is ensured; so the method is widely used in the grinding-grading process and similar wet milling process in other industry crafts.

The invention relates to a method for performing power optimized scheduling on controllable loads comprising air conditioning loads. The controllable loads comprise the air conditioner loads with adjustable power as well as transferrable loads; an air conditioner operation optimization target model is established for the air conditioner loads, and a transferrable load optimization target model is established for the transferrable loads; the air conditioner operation optimization target model is optimized with a non-dominated sorting genetic algorithm; the transferrable load optimization target model is optimized with a self-adaptive genetic algorithm. On the premise that power utilization habits and power utilization comfort of a user are considered, electric equipment is classified as electric equipment with controllable loads and electric equipment with fixed loads, the air conditioner loads and the transferrable loads in the controllable loads are modeled, the power utilization modes are optimized with the corresponding intelligent algorithms respectively, and the controllable loads are effectively optimized and managed on the premise that the power utilization comfort of the user is realized.

The invention relates to an evaluation method in the technical field of intelligent electricity utilization, in particular to a demand response load optimization potential evaluation method based on the multi-scene design. The method comprises the following steps: (1) conducting field research so as to obtain evaluation data, (2), determining the evaluation range, (3), designing multiple scenes, and (4) determining the demand response load optimization potential. According to the method, the evaluation result can provide beneficial reference for demand response project planning and promotion and implementation, and the key factor which affects the demand response potential can be directly positioned from the evaluation modeling and the evaluation process. According to the method, electricity-saving potential of the demand response can be further evaluated.

The invention belongs to the technical field of smart power grids and relates to an energy management method capable of matching distributed power sources with loads. A device capable of achieving distributed power source grid-connected management and optimal matching operation of the distributed power sources and the loads is called as a power router. The method includes: a control unit connects an idle load port with a mains supply dedicated port, and when a load without a wireless communication function is connected to the power router through the load port, the mains supply is used for supplying power firstly, and a control unit is used for detecting operating characteristics of the load through signal detection and an energy measurement module; the control unit is used for performing matching analysis for each power source and the load, and a switch array module connecting the corresponding power source with the load for power supply; and when a specific distributed power source meets the requirements of simultaneous operation of a plurality of loads, the control unit controls the switch array module to connect the distributed power source and the corresponding loads for power supply. The energy management method is capable of optimally matching the power sources with the loads.

The present invention provides a smart distribution network self-restoration optimization method considering a power quality and an uncertainty constraint thereof. With regard to each island, a load shedding optimization model is established for the goal of high important grade load optimization restoration and maximum total restoration quantity, a bi-level optimization model formed by a network reconstitution optimization model for the goal of the least number of switch motions and minimum transmission losses, and an optimal load shedding scheme is taken as the input of the network reconstitution optimization. Especially, in the network reconstitution optimization model, an uncertainty analysis of a negative sequence and a harmonic wave is performed through an entrance point method of estimation, so that a power quality comprehensive constraint set containing frequency constraint, the negative sequence, the harmonic wave and the uncertainty constraint thereof is established according to the possible variation range of the negative sequence and the harmonic wave obtained by the uncertainty analysis, therefore the power quality of the recovery scheme may be improved and the restoration failure may be avoided. Through the establishment of a power quality comprehensive constraint set, the goal of safe and reliable power supply restoration may be achieved.

The invention relates to an evaluation method of the power supply reliability of a distribution network based on demand response. The method includes steps: 1) building a demand response model based on time-of-use power price; 2) building an improved load optimization model based on demand response; 3) performing optimization and classification of an optimized load curve by employing a bisection method, and solving the optimal classification number; and 4) establishing an improved cluster load analysis reliability evaluation algorithm based on the bisection method; and changing a cluster load interval into a monotonic increasing trend for convenient calculation. According to the method, the problem of the evaluation of the power supply reliability of the distribution network based on demand response is effectively solved.

The invention discloses a distribution network reconfiguration method, which comprises the following steps: building a distribution network load optimization model; and optimizing the distribution network load optimization model on the basis of a genetic algorithm, and obtaining a distribution network reconfiguration scheme. The reconfiguration is carried out on a distribution network on the basis of a genetic method; and load reconfiguration is carried out by changing the state of a switch, so that line loss of the distribution network is reduced; the benefits are improved; and the power supply reliability and safety are improved.

A carrier load optimization for shippers whereby a set of preferred carriers is placed under contract or committed to certain standard rate for any route or point to point delivery lane, and a supplemental or open set of carriers are authorized for deliveries in a particular lane, based on ad-hoc spot pricing and spot price negotiation. Carrier tender offers are submitted in two processing stages; first simultaneously under a standard or contract rate, and secondly if no shipper responses are accepted or a time deadline is reached, then subsequent tenders are released and updated in accordance with the dynamic spot pricing optimization logic of the preferred solution. Machine learning is employed to maintain and understand rate history and current delivery trends including carrier performance.

Networked smart wearable devices and methods for dynamic power management of multiple wearable devices and the optimization of the network sensor data load through network control of the sensors in each wearable device is provided.

The invention discloses a remote crusher data collection system. The remote crusher data collection system comprises a computer main station, collection management software, database server software,an intermediate processing device, an intelligent instrument, sensors, a camera and a mobile management terminal. By the adoption of the remote crusher data collection system, labor resources are greatly saved, the safety of work personnel is guaranteed, it is also avoided that others control the system, real-time monitoring of the work of a crusher can be achieved, and the reasons of influencingthe yield and product quality of the crusher can be found; data can be processed and analyzed, safety range classification can be conducted, fault diagnosis and alarming can be conducted, the fault rate is lowered, load optimization suggestions are provided, energy consumption is lowered, remote monitoring is conducted, and the production and management efficiency is improved; and the functions ofdata storage, statistics, query, display, export and the like are achieved.

The invention discloses a wind wheel thrust estimation-based control algorithm for a wind power generation unit. Firstly, the wind speed at an impeller of a wind power generator, the blade pitch angle, the azimuth angle and the rotating speed of the wind power generator are measured by the aid of sensors in real time; then acquired data are combined with blade aerodynamic data, and wind wheel thrust applied to the impeller at different moments is estimated through a blade element momentum theory; according to the magnitude of the estimated wind wheel thrust, the corresponding minimum pitch angle is obtained through a look-up table method, the minimum pitch angle value is input into a variable-pitch controller and is compared with the minimum pitch angle value set by the variable-pitch controller, and the maximum value is used as the new minimum pitch angle limiting value of the controller, that is, the thrust applied to the unit is changed by changing the minimum pitch angle limiting value of the controller in real time, so that wind wheel thrust estimation-based load optimization control on the wind power generation unit is realized, and the design cost of the wind power generator is reduced.

The invention discloses a label detection and dynamic load optimization method for an ultrahigh-frequency radio frequency identification (RFID) reader. The method comprises the following nine steps: S1, initializing the ultrahigh-frequency RFID reader and the working state, wherein an antenna number is M, the frequency for continuously reading that no labels exist in aerial radiation ranges is N, the break time of the reader when no labels exist is T1, the break time of the reader when labels exist is T2, and T1 is greater than T2; setting that no labels exist in the initial states in all aerial radiation ranges, wherein the number of the currently scanned antenna is m, and the antennae are scanned from an antenna No.1; and S2, selecting the antenna No.m, judging labels exist in the radiation range of the antenna No.m, if so, entering the step S5, otherwise, entering the step S3. The load distribution of the reader is dynamically optimized by detecting whether the labels exist in the aerial radiation range so as to improve label identification efficiency in all antenna ranges, dynamically adapt to fieldwork environment, and reduce technological difficulty of reader deployment.

The invention relates to an intelligent control method applied to a central discharge type cement raw mill system. Aiming at various working conditions encountered in the process of cement raw material milling, a load optimization set value is given by an operator according to experience of the operator, mill sound and fine powder inlet pressure are respectively adopted by a coarse powder bin and a fine powder bin to serve as main manipulated variables, sectional type proportion integration differentiation (PID) control with feedforward compensation is carried out, and decoupling control is achieved through a method that sampling points of a main control step length and sampling points of a monitoring step length of a control circuit of the coarse powder bin are spaced; dead zone amplitude limiting of controller inputting is adjusted in real time through the adoption of an expert system; a sampling period of a control algorithm adopts a mode combining the main control step length with the monitoring step length; and an effective intelligent control method is provided for the cement raw mill system that disturbance is large, accurate measurement cannot be carried out on load, feeding is delayed, coupling among various variables is severe, and therefore the automatic degree of cement raw mill operating is improved, and intelligent control for the cement raw mill system is achieved.

The invention relates to a rolling load optimization method for a hot continuous finishing mill group. The method comprises the following steps: conducting a limiting value test on incipient rolling reductions of an F1 rack, an F2 rack, an F3 rack and an F4 rack; calculating rolling forces and powers of all racks; comparing the calculated rolling forces of the racks to judge whether the phenomenon of 'reverse rolling force' exists or not and define the rolling mills requiring load adjustment and a corresponding setting-up procedure; calculating power margin evaluation indexes according to the formula W=P / PE, wherein P is the pre-calculated powers of the racks (F1 to F4) and PE is rated powers; reducing 10 percent of press load of the rolling mill F (I+1) with 'reverse rolling force' and adding the reduced load to an optimized rolling mill; calculating the rolling forces f according to the adjusted load rolling reductions, and conducting the reverse test again; distributing and calculating rolling forces, roll intervals and the like of all rolling mills according to ultimate loads; executing adjustments of the rolling forces and the roll intervals with a rolling mill drive system. The rolling load optimization method can automatically conduct load optimization and redistribution according to the reverse condition among the racks. Therefore, the rolling load optimization method has the advantages that the defects that manual auditing of the rolling plans, analog calculation of the rolling forces and adjustment of loads are inaccurate and not in time are overcome, and the quality control level is improved.

The invention discloses an optimized control method for a comprehensive energy system. The method comprises the following steps: establishing a public information model, acquiring distribution automation data, establishing a standard communication interface and a communication data model, and performing multi-energy optimization processing on the distribution automation data according to the communication data model through a standard communication interface. In the optimized control method for a comprehensive energy system, firstly, user-side distributed energy is integrated with a comprehensive energy system, contributing to multi-energy complementary collaborative optimization control implementation, and data interaction consistency among different systems is ensured in the comprehensive energy system. The standard communication interface of an intelligent user terminal facing comprehensive energy management, and a communication data model are established for realizing horizontal multi-energy complementation and vertical demand response joint optimization in the comprehensive energy system, and energy collaborative optimization is realized from two aspects of a source end and aload end. The method can perform best match on energy supply and energy consumption in a user-side comprehensive energy system, and can satisfy needs of distributed energy and flexible load optimization management.

A method for managing work distribution in a processor including a plurality of instruction data modules, is provided. The method includes analyzing work units received by the processor and comparing the utilization level in each active module within the plurality with a first predetermined threshold. The work units are distributed across selected ones of the modules within the plurality based upon the analyzing and the comparing.

The invention discloses a multi-target plant level load optimization method based on immune optimization and fuzzy decision in the technical field of energy-saving power generation. The multi-target plant level load optimization method comprises the steps that a thermal power plant coal consumption model, a model of time needed for completing distributed loads, and a nitric oxide emission model are established respectively; coal consumption characteristic parameters, current bearing loads, permitted load change rates and nitric oxide emission characteristic coefficients of all units in a thermal power plant are determined; constraint conditions of the models are determined, including upper limit and lower limit constraint conditions and balance constraint conditions of active power; a solution set including the active power of all the units in the thermal power plant, thermal power plant coal consumption, time needed for completing the distributed loads of the thermal power plant, and the nitric oxide emission of the thermal power plant is obtained through an immune multi-target algorithm; an optimal solution is selected from the solution set to serve as output power of all the units in the thermal power plant. According to the multi-target plant level load optimization method based on immune optimization and fuzzy decision, the immune multi-target algorithm is used for realizing multi-target plant level load distribution, an optimal power distribution scheme for the power plant units is decided according to a fuzzy decision theory, and therefore the computational process is faster and more accurate.

The invention provides a method of plane load balancing and optimization. According to the method of the invention, load optimization combination is carried out according to a loading balancing and optimization criterion, the placing position of a cargo loading unit, and in a corresponding loading process, the cargo centre-of-gravity position after placement is controlled in a designed and required range. When the embodiment of the invention is executed, on the premise of meeting boy gravity center requirements in the case of flight, influences of the cargo loading layout on bending moment and torque borne by the body are fully considered, the cargo placement rationality is ensured, the flight safety is ensured, and the maximum cargo loading amount is realized.

The invention relates to a fresh air supply temperature control system based on a variable refrigerant volume (VRV) and fresh air fan hybrid air-conditioning system. The fresh air supply temperature control system comprises a memory module, a fresh air volume calculation module, a VRV coefficient of performance (COP) calculation module, a fresh air fan COP calculation module, a load optimization module and a fresh air supply temperature resetting module. The fresh air supply temperature control system based on the VRV and fresh air fan hybrid air-conditioning system is capable of reasonably adjusting the fresh air supply temperature of a fresh air fan and controlling the indoor temperature while guaranteeing the fresh air supply by carrying out optimal distribution on the load and energy efficiency ratio of a VRV and the fresh air fan, so that the operation stability of the hybrid air-conditioning system is improved, and the energy consumption of the hybrid air-conditioning system is reduced.

A piston of an internal combustion engine has a piston crown provided with a ring zone and adjoining a piston skirt encompassing a piston interior, the skirt having two load-bearing skirt wall segments and two pin bosses. Each pin boss encompassing a boss hole is connected to a boss base body by a boss support, the base body having ribs to increase stiffness, which are aligned to the extent possible in the direction of the boss holes continuously connecting the pin bosses. The curved or arched ribs thereby cover a pivoting range of a connecting rod.