156results about How to "Improve the ability to solve" patented technology

The present invention discloses a maintenance system of a piece of power equipment based on risk assessment, comprising: that a data acquisition unit monitors original data of the power equipment and the acquired original data is saved to a database server; a data processing unit processes the acquired original data to generate a processing result; an application service unit allows a user to access the original data and interactively operates the processing result; and the user determines whether the power equipment needs to be maintained based on the processing result and the original data. Using the system in the invention, blindness of the equipment maintenance can be dramatically reduced and insufficient or over maintenance can be avoided, and then a principle that what needs to be maintained should be maintained and what should be maintained needs good maintenance of the equipment can be realized, while a lot of maintenance cost can be saved, safe and stable operation of the equipment is guaranteed and a managing level of the equipment is greatly enhanced.

The invention discloses a scheduling, organization and cooperation system and a scheduling, organization and cooperation method for a multi-robot system. By adoption of distributive mode architecture, the information interaction is reduced, the systematic resources are used fully, the activity and the problem solving level of the overall system are enhanced, and the ability of intelligent coordination and flexible cooperation among a plurality of robots is enhanced. The method and the system intelligently perform scheduling and cooperation, reduce the communication traffic, reduce the systematic consumption, well adapt to a dynamic environment and complicated dynamic tasks, and enhance the problem solving capability by employing a dynamic decision maker scheme, namely every robot may be atask decision maker. According to the invention, a bulletin is used, a method of making a robot actively check the bulletin to acquire task information in an active free (capability) state is adoptedand the selection of the best can be finished during checking, so that the information interaction is reduced, the information processing and comparison process is simplified, the communication traffic is greatly reduced and problems of information blocking and wastes of the systematic resources are solved.

In the present invention, after fault information analysis, fault cause judgement, giving treating opinion and predicting stop time, the fault cause and treating opinino are transmitted to single-machine controller to direct the operator's job while the influence of the fault on the machine group engineering is judged based on the weight value of the fault part in the machine, the weight value ofthe fault machine in the machine group and fault grade and the fault information is transmitted to the group dispatching system. Each single machine is equipped with intelligent monitoring and diagnosis subsystem connected to movable communication module; the machine group is equipped with high-level monitoring and diagnosis system connected to movable communication module.

A method of forming a coating of polyionic materials in a layer-by-layer-like manner onto a polymeric material is provided. A polymeric material, such as a contact lens, can be dipped once into a solution of polyionic materials such that layers of polyionic material can be formed thereon. A single dip solution of the present invention typically contains a polyanionic material and a polycationic material in a non-stoichiometric amount and maintained within a certain pH range.

The invention provides a path coverage software test-based automatic test case generation method. The method comprises the following steps of: analyzing a code of a tested program to obtain a controlflow graph (CFG) of the program and a path of the program; obtaining and calculating a fitness function of a group of corresponding test cases according to the control flow graph obtained in the laststep and a branch distance-based method; carrying out iterative updating on a randomly initialized population by using the fitness function through a differential evolution algorithm and a convergencespeed controller; and recording the first test case of paths corresponding to a coverage program until the test cases of all the paths are obtained or the iteration frequency of the algorithm exceedsa limit, and outputting a test case set of the paths corresponding to the coverage program. The method is capable of effectively utilizing the tested program to cover heuristic information of the test cases on the basis of the paths, and can be applied to practical software test work environment.

The invention discloses an operator construction method of a single-star scheduling. The operator construction method comprises the following steps that a question classifier which is constructed based on a distribution form of a task set conducts classification on single-star scheduling sub-questions; (2) an ant colony algorithm is constructed; (3) a question operator knowledge base is constructed through question classification, an operator design ruler and a score triple and records the historical performance when each operator design is used for solving each type of questions, and therefore operator design decision support is provided for solution of new concrete questions in the feature. The operator construction method of the single-star scheduling has the advantage that under the condition that solution quality is guaranteed, the solving efficiency is high.

A radar sensor having multiple antenna elements for transmitting and receiving radar signals, an associated transmitting and receiving element and an evaluation device for determining the azimuth angle of located objects on the basis of a relationship between the signals received from different antenna elements, wherein the transmitting and receiving element is designed to supply to the antenna elements transmission signals in parallel, the frequencies of which are offset with respect to one another, and the evaluation device is designed to distinguish between signals that were transmitted by different antenna elements on the basis of the frequency offset.

The invention discloses a wharf shore bridge and field bridge collaborative optimization scheduling method. The method comprises the following steps: carrying out pretreatment; defining the shore bridge and the field bridge as scheduling objects; a container stack is used as a minimum loading and unloading unit; combining the ship date table and the position of the container in the ship and the storage yard; the minimum time spent on loading and unloading of all containers on a ship and the short moving distance between a quay crane and a field bridge are taken as targets for scheduling of thequay crane and the field bridge, a mathematical model of synchronous loading and unloading operation of the import and export containers is constructed, and an optimal quay crane and field bridge scheduling scheme under a given import and export container loading and unloading task is obtained. According to the wharf quay crane and field bridge optimization scheduling method, the entropy evaluation system is designed, the improved genetic algorithm based on the entropy matching principle is designed, the solving capability of the algorithm is greatly improved, and the cooperative scheduling capability of the quay crane and the field bridge is improved.

The invention provides a method for remote sensing satellite observation task planning. The method comprises the steps of when a dynamic variable neighborhood tabu search algorithm is adopted, setting an initial tabu table T *, an initial tabu table length as shown in the description, a dynamic variable tabu table length as shown in the description and an initial solution x0, beginning from the number of iteration k=1, T* as shown in the description and the initial solution x0, adopting an improving neighborhood construction method to implement an iterative process of the tabu search algorithm, and after a stopping criterion is satisfied, outputting an optimal solution x * at the time point when the stopping criterion is satisfied; adopting an adjusting neighborhood method to implement the iterative process of the tabu search algorithm according to T * as shown in the description and x * at the time point when the stopping criterion is satisfied, and after the stopping criterion is satisfied, adopting a relatively optimal solution, which is about to be output and obtained by conducting a local search algorithm on the optimal solution x * which is output at the latest, as an optimal scheme of remote sensing satellite observation task planning. The method adopts the dynamic variable neighborhood tabu search algorithm to process remote sensing satellite observation task planning, and can improve the running efficiency of the algorithm and expand the search range of the solution, and the algorithm does not easily fall into a loop search state.

The invention provides an unmanned aerial vehicle obstacle avoidance control method and a system thereof, and an unmanned aerial vehicle and relates to the unmanned aerial vehicle control technology field. The method comprises the following steps of through a radar detection apparatus of the unmanned aerial vehicle, detecting obstacle information in an unmanned aerial vehicle flight environment; collecting current flight information of the unmanned aerial vehicle; according to the obstacle information and the current flight information, calculating an obstacle avoidance flight plan; and executing obstacle avoidance flight by the unmanned aerial vehicle according to the obstacle avoidance flight plan. In the invention, through the radar detection apparatus of the unmanned aerial vehicle, the radar detection apparatus can detect a flight speed and a flight direction of an obstacle in the unmanned aerial vehicle flight environment and can accurately determine a motion trend of the obstacle so that identification and avoidance capabilities of the unmanned aerial vehicle to the obstacle in an air route usage environment of a moving object are increased. Simultaneously, according to the obstacle information and the current flight information, the obstacle avoidance flight plan is calculated so that reliability and stability of unmanned aerial vehicle flight are increased.

A universal problem resolution method and system implementing continuous improvement for problem solving that utilizes simulative processing of relational data sets associated with initial states, allowed transition states, and goal states for a problem. The framework autonomously generates and solves higher order problems to find sequences of operations necessary to transform state sequences derived from the lower-order transformation simulations recursively. The solutions yield increasingly higher-order abstractions that converge to generalization such that the unwinding of the higher order sequences back down to the original problem yields the exact sequence of steps for unsolved instances of the problem in linear time without the need for re-simulation. Cooperating agents analyze solution path determinations for problems including those concerning their own optimization. This spawns state transition rules generalizable to higher layers of abstraction resulting in new knowledge enabling self-optimization.

The invention relates to a work order classroom vocational education and teaching cloud platform. The teaching cloud platform comprises a work order classroom cloud service subsystem comprising a service server and a service database server, and is used for providing work order development, course development, classroom teaching, career development, internship and data analysis services for the teaching cloud platform. The Job Classroom Cloud Sales subsystem includes a marketing portal server, Platform management server and marketing database server, used for the construction of work orders, marketing, course construction, marketing, enterprise recruitment, part-time work, data analysis management, and responsible for the platform account management, authority management, work orders and course review, points management, column management, business management.

The invention aims at realizing a good teaching effect and good interactivity of a fault diagnosis experiment course, and improving a practice ability and a problem-solving ability of students simultaneously. The invention discloses a system and a method for teaching a fault diagnosis experiment. The system for teaching the fault diagnosis experiment comprises a teacher machine, an RS485 communication line, a conversion circuit and a plurality of experimental boxes. Fault points can be freely arranged on the teacher machine. The fault points are transmitted in the experimental boxes through a communication circuit, so that students find out faults. Standard fault exclusion methods and steps are stored in the teacher machine. Animation prompts can be properly given in an experimental process. For common problems, teachers can explain with solutions.

The invention discloses a Fuch mapping-based hybrid improved grey wolf optimization algorithm, which comprises the following steps: step 1, generating an initial population by using a chaotic elitist strategy, and laying a foundation for global search diversity; step 2, introducing an inertia weight matching convergence factor strategy, and adjusting population global exploration capability and local development capability; and step 3, introducing polynomial variation to the optimal grey wolf position to enhance the ability of the algorithm to jump out of the local optimal solution. The traditional grey wolf optimization algorithm is improved by utilizing a Fuch mapping hybrid improvement strategy, and compared with the traditional grey wolf optimization algorithm, the improved grey wolf optimization algorithm has the advantages that the convergence speed is increased, the convergence precision is improved, the calculation time is shortened, and a global optimal solution can be found to the maximum extent.

The invention provides a power transmission network capacity planning optimization method and system considering multiple fault scenes, and the method comprises the steps: taking the minimum annual comprehensive cost as an optimization target, and constructing a power transmission network robust random optimization planning model considering the multiple fault scenes and the uncertainty of the fault probability; introducing a state variable and related constraints of load shedding punishment generated by a multi-device fault scene into the power transmission network planning model to obtain apower transmission network planning robust optimization model meeting various constraint conditions; the uncertainty part in the constraint condition is determined; and converting a power transmissionnetwork into a double-layer optimization model through duality, solving a subproblem through duality, and finally solving a power transmission network robust stochastic optimization planning model considering multiple fault scenes and fault probability uncertainty by adopting a Benders decomposition algorithm and a mixed integer linear programming algorithm to obtain a planning scheme of the power transmission network.

An apparatus of remote server console redirection is described. The apparatus provides multi-managers to control remote server computers simultaneously. The apparatus includes at least one monitoring computer and a console redirection proxy service server (CRPSS). The monitoring computer executes a browser program and assigns a remote server computer to be controlled. The CRPSS determines whether the assigned remote server computer is on monitoring. If the assigned remote server computer is on monitoring, the CRPSS directly sends display images of the assigned remote server computer to the monitoring computer. If the assigned remote server computer is not on monitoring, the CRPSS issues a console redirection command and a reboot command to the assigned remote server computer. Therefore, the display images of the assigned remote server computer are sent to the monitoring computer by way of the CRPSS.

The invention belongs to the technical field of experiment teaching, in particular to an experiment teaching control method and control system. The experiment teaching control method includes that (1) course uploading, to be specific, uploading an experiment course selection plan to a server; (2) user registration, to be specific, obtaining a registered user name through a client terminal; (3) experiment ordering, to be specific, using the client terminal to send an ordering request to the server, enabling the server to inquire a database after receiving the ordering request, if the ordering is allowed, sending ordering success message to the client terminal, and updating; (4) experiment preparation evaluation, to be specific, using the client terminal to perform the experiment preparation evaluation in the ordered class period; (5) experiment execution, to be specific, after passing the evaluation, finishing experiment steps on experiment equipment, recording experiment data, and writing an experiment report. The control method and control system reinforce the self-management ability and problem solving ability of students and are significant for cultivating the engineering practice ability and innovation consciousness of students.

An organic electroluminescent device comprises a substrate; a black matrix pattern layer deposited on the substrate as a predetermined pattern; a passivation layer laying over the substrate and the black matrix pattern layer; an anode pattern layer deposited on the passivation as a predetermined pattern; a luminescent layer structure deposited on the anode pattern layer; and an isolation area being an isolation between the anode pattern layer. Among them, the black matrix pattern layer has low reflectivity, and the black matrix pattern layer has a first matrix pattern corresponding to the isolation area or further comprises a second matrix pattern corresponding to the anode pattern layer.

The invention relates to a mathematical subject step-by-step demonstration method suitable and a and computer system suitable for self-adaptive learning, which comprises the following steps of: carrying out knowledge point matching processing conducting knowledge points matching and processing according to the received user's learning level information and pushing corresponding learning questions;monitoring whether or not receive the feedback information in real time and processing according to different feedback information, specifically: when receiving a first feedback information, carryingout an answer matching processing and generating and displaying a question analysis; when receiving a second feedback information, generating and displaying prompt information; when receiving a thirdfeedback information,displaying a problem solving step of the learning problem, and each time of receiving the third feedback, displaying only one solution step in sequence until all the solution steps are displayed; and when receiving a fourth feedback information, generating and displaying a reference answer information. Compared with the prior art, the invention has the advantages of effectively improving the learning efficiency of the user and the like.

An audio processing apparatus is configured to process audio signals from a plurality of sources. The audio processing apparatus may include a digital interface to receive status data indicating a status of at least one source, and an optical output device having a plurality of groups of graphics display areas which are respectively assigned to one of a plurality of audio channels of the audio processing apparatus. The audio processing apparatus may also include a control device configured to receive the status data, to determine at least one group of graphics display areas based on the received status data, and to control a graphics display area of the determined at least one group to display graphics generated based on the received status data.

The invention relates to a simulation teaching factory for preparing cyclohexane through benzene hydrogenation, which comprises a chemical engineering device construction area, an indoor operating area and a teaching discussion area, wherein a miniature chemical engineering device, a device frame and the like are arranged inside the chemical engineering device construction area; a control system is arranged inside the indoor operating area and is communicated with the miniature chemical engineering device through a signal cable; and the teaching discussion area is provided with computers and multimedia teaching facilities which are connected with the control system through a signal cable inside the indoor operating area. The simulation teaching factory is basically consistent with actual conditions of a factory, the structure and general situation of a real chemical production device can be realistically known, the cognition of chemical engineering equipment is improved, the actual operating level is enhanced, and cooperation capacity and team spirit are cultivated. Students can really know the structure and general situation of the chemical production device controlled by a decentralized control system (DCS) and can accept chemical production DCS operation training, and the capacity of analyzing and solving problems also can be cultivated and improved.

The invention discloses a warehouse mobile robot path planning method based on an improved ant colony algorithm. The method comprises the following steps: firstly, dividing an ant colony into a plurality of sub-ant colonies; performing path search by using each sub ant colony, and sorting according to utility function values to obtain better ants; updating the pheromones to neighbor sub ant colonies, and outputting an initial path after iterating for a set number of times; if no obstacle exists between connecting lines of any two nodes in the initial path, the two nodes are directly connected,and path planning of the warehouse mobile robot is completed; according to the method, the path search results are sorted by utilizing the utility function, so that the pheromones have correct directivity, the probability that ants select shorter paths is improved, and blindness in the search process is avoided; through information exchange among the sub ant colonies, the searching capability ofthe whole ant colony and the speed of searching the shortest path are improved; and the intermediate nodes are smoothed, so that the turning times and the total length of the planned path are reduced,and the running efficiency of the warehouse is effectively improved.

The invention relates to a cloud manufacturing service combination optimization selection method based on a preference NSGA-III algorithm, and the method comprises the steps: generating an initial population according to a coding operation method, and generating filial generation individuals; decoding all individuals in the current population, and calculating a combined service QoS index value according to the decoded individuals; dividing Rt into different non-dominated layers by adopting a non-dominated sorting method, defining F1 as a critical layer, selecting K excellent individuals from F1 by adopting a critical layer individual selection method and retaining the K excellent individuals in Pt + 1 at the same time, and in Pt + 1, using a modality algorithm to select elite individuals for further local search. According to the method, the decision preference information is introduced into the algorithm in an interactive mode by adaptively constructing the preference reference points, so that the solving efficiency of the algorithm is improved; meanwhile, aiming at the problem that the local search capability of the algorithm is insufficient, the evolutionary mechanism of the algorithm is improved, and a genetic search and local search mixed modality algorithm is provided to improve the solving capability of the algorithm.

The invention relates to a method for designing a dynamic burdening control system, which comprises the following steps of 1) establishing a standard process model for a dynamic burdening system; 2) establishing a system requirement model for the dynamic burdening system; 3) establishing an object application model for a dynamic burdening control system; 4) in combination of the standard process model for the dynamic burdening system in the step 1), the system requirement model for the dynamic burdening system in the step 2) and the object application model for the dynamic burdening control system in the step 3), establishing a feature matching model for the dynamic burdening control system by utilizing the knowledge excavation technique. In this way, the scientificity and the rationality of the design effect of the dynamic burdening control system are ensured. According to the technical scheme of the invention, the method for designing the dynamic burdening control system is realized through the mathematical theory statistical technique and the knowledge excavation technique in combination with a semantic model. In this way, the dynamic burdening control system is designed to be better in scientificity, theoretical instructiveness and practical applicability. Therefore, the method is wide in application prospect.

The invention provides a collaborative plotting spatial knowledge system of heterogeneous spatial information based on cloud computing technology. The main purpose is to establish a collaborative plotting model of a heterogeneous space of a global map, and realize collaborative plotting with high concurrency and high online user number by means of the lateral expansion capability and the cloud computing. Therefore, dynamic collection of global information is realized, the island effect of the original spatial information is get rid of, the collaboration and communication ability of related spatial information users is reinforced, and the information is dug in depth, so that the spatial information service of the public and the departments improved from local and single contents to global spatial knowledge cloud services on a multi-subject level.

The invention discloses a regression test method for carrying out test case priority ranking based on an ant colony algorithm, which comprises the following steps: (1) converting a test set of a tested program into a graph G, and calculating and instantiating all artificial ants; (2) the artificial ants starting a weekly chart G to construct a problem solution, and before ant state transition eachtime, the artificial ants calculating heuristic information of all candidate nodes, and selecting a next target node to be transferred; (3) after all artificial ants finish the work of constructing the solution, updating the pheromone contents of all edges in the graph G through a global pheromone updating rule; (4) obtaining the sequenced test sleeves when an end condition is met, otherwise, returning to the step (2); and (5) sequentially carrying out regression test on the software by taking the sorted test sets as test cases. According to the method, the ant colony algorithm is used for searching the optimal test case execution sequence, so that the coverage rate of statements in the tested program is maximized, and the regression test efficiency is improved.

The invention discloses a battery replacement control device and method. The device comprises an information collection module, a storage module, an information processing module, a voice control module and a battery replacement control module; the information collection module is used for collecting the information of a vehicle to be subjected to battery replacement; the storage module is used for storing the vehicle information of the information collection module and pre-stored vehicle information; the information processing module is used for acquiring the storage information of the storage module, judging whether the acquired information is matched with the pre-stored vehicle information or not, and allowing the vehicle to be subjected to battery replacement to enter a battery replacement system if the acquired information is matched with the pre-stored vehicle information; the voice control module is used for controlling a driver to perform battery replacement operation through voice and uploading a battery replacement process to a cloud server; the battery replacement control module is used for monitoring the battery replacement process in real time, finding fault information, feeding the fault information back to the voice control module and storing the fault information in the storage module. With the battery replacement control device and method of the invention adopted, manual links are reduced, the safety of equipment and the safety of information are improved, automation degree is improved, and battery replacement efficiency is improved.

The invention provides a high-pressure discharging device, comprising a low voltage power supply, two electrode wires, a rotating plate, a base and a power switch, and further comprising an electronic booster, wherein, the low voltage power supply is connected with the electronic booster and is connected onto the two electrodes through wires; the two electrodes are respectively fixed on the two rotating plates which are fixed on a shell of the base; the low voltage power supply and the electronic booster are installed in a cavity of the base; the power switch is fixed on the shell body of the base shell. The invention further provides eight use methods of the high-pressure discharging device.