16results about How to "Avoid choice" patented technology

The invention relates to the field of robot collaborative optimization, in particular to an industrial robot collaborative optimization system. Comprising the following steps: creating a task distribution matrix, optimizing the task distribution matrix by adopting a multi-objective optimization strategy, setting constraint conditions, and introducing a self-adaptive feedback adjustment mechanism to obtain an optimized task distribution matrix; and performing path optimization based on the optimized task allocation matrix. The problems that a fixed or simple scheduling algorithm is adopted for existing task allocation, and overload of part of industrial robots is likely to be caused; a dynamic feedback adjustment mechanism for resource consumption and state of the industrial robot is lacked, and optimization of task allocation cannot be performed according to real-time load and resource state of the industrial robot; the technical problems that path planning is prone to falling into a local optimal solution, and an industrial robot may frequently select a fixed path when executing a task, resulting in path resource competition and overall efficiency reduction are solved.

In order to solve the problem of a local optimal solution in the prior art, the invention provides a welding beam design optimization method and device based on a Bayesian optimization algorithm of variable selection and a medium. The optimization method comprises the following steps of building a welding beam design problem model, building a Gaussian process model, selecting variables through a roulette, optimizing a collection function and carrying out iterative optimization. The method has the beneficial effects that 1, the problem of local optimum is solved, and the Bayesian optimization can more effectively search a global optimal solution in a global range by establishing a Gaussian process model of a target function and combining an expectation improvement criterion; and 2, computing resources are saved, the computing efficiency is improved, and the next most potential point is intelligently selected through variable selection and acquisition function optimization for fitness value calculation, so that the number of evaluation times in the design process is reduced, the computing cost is saved, and the number of iterations is also reduced. And 3, the design flexibility is higher.

The invention relates to the technical field of ad hoc network data communication, in particular to an ad hoc network communication routing method and system considering battery residual energy and a medium. According to the method, residual energy virtual hops are calculated according to battery residual energy of a reference node, multipath attenuation and environmental factor influences are considered at the same time, and node receiving signal strength virtual hops are calculated according to signal strength of a transmitting node. In the path selection process, the node receiving signal strength virtual hops and the residual energy virtual hops serve as judgment bases, the routing path with higher quality and stability is selected, transmission along a single path is avoided while transmission reliability is guaranteed, node energy consumption is balanced, and the problems of resource waste and overhigh local node energy consumption are avoided. The reliability and stability of the communication transmission process are ensured, and meanwhile, the node resources are reasonably scheduled, so that the node energy consumption is balanced.

The invention discloses a boundary protection method and system based on waveform difference quantization, a medium and equipment. The method comprises the following steps: calculating a 1-mode fault voltage reverse traveling wave; calculating a frequency domain component of a 1-mode fault voltage inverse traveling wave by using numerical Laplace transformation; correcting the frequency domain component of the 1-mode fault voltage reverse traveling wave; calculating the time domain waveform of the corrected 1-mode fault voltage reverse traveling wave; a waveform difference quantitative index is calculated based on the time domain wave of the corrected 1-mode fault voltage reverse traveling wave, and when the waveform difference quantitative index is larger than a setting value of intra-region and intra-region fault judgment, an intra-region fault is judged; and when the waveform difference quantitative index is smaller than or equal to the setting value of the internal and external fault judgment, judging that the fault is an external fault. The problem that the protection performance is reduced due to the fact that low-frequency energy changes along with the fault position is solved, and the adaptive capacity of protection to high transition resistance and a small fault phase angle is improved on the basis that the protection selectivity is guaranteed.

The invention relates to a flame burner used in a solid oxide fuel cell (SOFC) system. Comprising a first pipe fitting and a second pipe fitting, the first pipe fitting is arranged at an opening in the upper end of the second pipe fitting in a sleeving mode, a combustion chamber is arranged in the first pipe fitting, a rotational flow plate connected to the opening in the upper end of the second pipe fitting is arranged in the second pipe fitting, and an oxidizing agent hole communicated with cathode tail gas of a combustion improver and a fuel hole communicated with anode tail gas of a combustible are formed in the rotational flow plate. The oxidant hole and the fuel hole are respectively communicated with the combustion chamber, the oxidant hole comprises a side wall rotational flow hole and a plane groove type rotational flow hole, the rotational flow directions of the side wall rotational flow hole and the plane groove type rotational flow hole are opposite, and an ignition needle extending into the combustion chamber is arranged on the rotational flow plate. Through the side wall rotational flow holes and the plane groove type rotational flow holes, the retention time of fuel in the combustion chamber is prolonged, direct contact between a high-temperature area for combustion and the wall face of the combustion chamber is hindered, the side wall rotational flow holes adopt a large-angle internal rotation mode to avoid fuel dispersion, and the equivalence ratio of a main combustion area is controlled to be about 1 as much as possible through area distribution.

The invention provides a throat detection reference coordinate system establishment method, which comprises the following steps of S1, measuring a reference end face through a three-coordinate measuring machine to align an X axis of a coordinate system, and positioning the coordinate position of an original point X of the coordinate system; s2, measuring the reference circle through a three-coordinate measuring machine to determine coordinate positions of original points Y and Z of a coordinate system, and obtaining the coordinate system; s3, obtaining theoretical value coordinates and measured value coordinates of the measuring points; s4, correcting the coordinate system according to the difference between the measured value coordinate and the theoretical value coordinate of the measuring point to obtain an adjusted coordinate system; and S5, judging whether the difference between the measured value coordinate and the theoretical value coordinate of the measurement indicating point meets an error permission value or not, if not, returning to the step S4, and if so, outputting the adjusted coordinate system. According to the invention, selection of a Z axis of a hole feature positioning coordinate system is avoided, a measurement point on a throat window is selected, and a measuring head of a three-coordinate measuring machine is controlled to continuously measure and correct the selected measurement point, so that a measurement result basically coincides with a theoretical value, and establishment of the coordinate system is realized.

The application discloses a muscle synergy analysis method based on surface electromyogram signals, and comprises the following steps: S1, collecting multi-channel surface electromyogram signals; S2, determining the number of muscle synergies by taking explained variance as the standard of the number of muscle synergies; S3, extracting muscle synergy features, and according to the envelope signal matrix Z i×r and the number of muscle synergies n, performing non-negative matrix decomposition on the envelope signal matrix Z i×r , and introducing a sparse constraint in the decomposition process, so that the process of extracting muscle synergy features is converted into an optimization problem; S4, obtaining a reconstructed matrix HY res obtained according to the optimization problem in step S3, that is, a decomposition result; S5, performing normalization processing on the synergy structure matrix H res , obtaining muscle activation states under different muscle synergy modules and analyzing the muscle activation states, obtaining a muscle synergy mode in the movement process, and calculating a reconstruction precision and a sparse degree. The method can achieve higher reconstruction precision and sparse degree in muscle synergy analysis, so that the quality and interpretation ability of data decomposition are improved.

The invention discloses a flexible direct-current transmission line protection method and system based on modulus high-frequency components. The method comprises the following steps: acquiring a fault characteristic frequency range in a transmission line area in advance by using a full-element analysis method; thirdly, collecting positive voltage and negative voltage of a multi-terminal flexible direct current power transmission line protection installation position at multiple different moments, and realizing protection starting detection by using positive and negative break variables; the positive electrode grounding fault, the negative electrode grounding fault and the bipolar fault are detected by using the accumulated zero-mode voltage; and finally, according to a fault line mode voltage characteristic frequency range in a preset area and a multi-dimensional variational mode decomposition algorithm, carrying out time-frequency characteristic component extraction on the line mode voltage of the line, and constructing an adaptive peak voltage quantitative index to realize quantitative detection on the fault area of the power transmission line. According to the invention, a full-element analysis method, a multi-dimensional variational mode decomposition algorithm and a self-adaptive voltage peak value are utilized, so that the single-ended protection method can tolerate 1500 ohm transition resistance, and the sensitivity of the protection method is effectively improved.

The invention relates to the technical field of traffic intelligent analysis, and discloses a traffic image intelligent analysis method based on big data, which comprises the following steps: determining a linear road and a starting point and an ending point thereof, obtaining traffic signal lamp information, dividing the road into a plurality of road sections according to traffic signal lamps on the road, recording states of different signal lamps, and determining a traffic image; acquiring a navigation route of a vehicle in each lane, determining a recommended vehicle, acquiring a traffic signal lamp of a current road section according to a driving road section of the recommended vehicle, analyzing and processing each lane image in the road section, and acquiring vehicle information of each road section through image analysis and processing; and analyzing and screening the vehicle information of each lane under different traffic lights, and recommending an optimal lane according to a screening result.

The utility model belongs to the field of optical display, and particularly relates to a table type optical system, which comprises a first part, a second part and a third part, the first reflecting mirror is arranged opposite to the light source; the second part is arranged opposite to the first part, and the second part comprises a light splitting module which is arranged opposite to the first reflecting mirror; the second reflecting mirror is arranged opposite to the light splitting module, and the second reflecting mirror is provided with a concave surface far away from the light splitting module; light rays emitted by the light source enter the first reflecting mirror, enter the light splitting mirror after being reflected and then are emitted to the second reflecting mirror through reflection of the light splitting module, and the light rays reflected by the second reflecting mirror penetrate through the light splitting module in a transmission mode to form a first image with a preset focal plane depth. The range of the preset focal plane depth is from-infinity mm to-1000 mm and from 1000 mm to + infinity mm. Through the arrangement, interference during watching of the first image is avoided.

The invention discloses a multi-relation chain age prediction method, device and equipment based on random walk, and the method comprises the steps: constructing a relation chain for each user behavior; for each age-unknown node in each relation chain, screening a first-degree connection and a second-degree connection of the age-unknown node in the relation chain, starting from the age-unknown node, using a random walk algorithm to walk in the first-degree connection and the second-degree connection, and adding the age-known node which walks to a traversal sequence to obtain a traversal sequence; obtaining a final traversal sequence of the age unknown node; determining an age initial prediction value of the age unknown node in the relation chain; and inputting the age initial prediction value of the age-unknown node in each relation chain into the age prediction model for prediction to obtain the final prediction age of the age-unknown node, thereby better adapting to business changes, reducing the calculation amount, improving the calculation efficiency, and improving the age prediction accuracy.

The invention discloses a translation model training method and device, a translation method and device, equipment and a medium, and the translation model training method comprises the steps: inputting a source text in a training sample into an encoder of a preset model, and obtaining an encoding result, and decoding each word segmentation vector in the coding result through a first decoder of a preset model, performing permutation and combination to output an initial text, masking the initial text to obtain a masked text, inputting the masked text into a second decoder of the preset model, and decoding through the second decoder of the preset model to output a prediction text. And constructing a negative candidate word list corresponding to each position in the predicted text, and performing parameter optimization on the preset model according to the predicted text, the negative candidate word list and the translated text to obtain a trained preset model. The translation method comprises the steps of inputting a to-be-translated text into a trained preset model, and outputting a target text. The training mode of the model is optimized, and the translation quality is improved while the translation efficiency of the trained model is ensured.

The application relates to the technical field of materials, in particular to a wave-absorbing material parameter determination method and device, computer equipment and a storage medium. The wave-absorbing material parameter determination method is applied to a wave-absorbing material to be optimized, and the method comprises the following steps: solving sub-objective functions of various material parameter categories in the wave-absorbing material to be optimized to obtain single-objective optimal solutions of the sub-objective functions; determining corresponding linear membership functions according to the single-objective optimal solutions for the various material parameter categories; constructing a comprehensive fuzzy objective function of the wave-absorbing material to be optimized according to the intersection of all the linear membership functions; taking the various material parameter categories in the wave-absorbing material to be optimized as a solving target, optimizing and solving the comprehensive fuzzy objective function based on a hybrid optimization algorithm to obtain a comprehensive optimal solution; and determining the various optimization values in the comprehensive optimal solution as optimization target values of the corresponding material parameter categories. A multi-layer wave-absorbing material capable of balancing various material parameter categories such as thickness, wave-absorbing characteristics and frequency bandwidth is provided.

The present invention discloses a conductive slurry for coating and a preparation method thereof, the method comprising: step 1, weighing each raw material; step 2, mixing graphene material and conductive carbon black, adding a first dispersant, and stirring evenly; step 3, heating water, adding a second dispersant, stirring evenly, adding the mixture to an aqueous solution, and stirring and mixing evenly; step 4, adjusting the pH value of the mixed solution to neutrality with a regulator; step 5, adding an adhesive to the mixed solution, continuing to stir evenly, and obtaining a mixed slurry; step 6, adjusting the viscosity of the mixed slurry with a thickener; step 7, coating the slurry on a cloth and drying it; step 8, testing the conductivity of the coated cloth and the wear-resistant effect of the conductive coating. The present invention also provides a conductive slurry for coating prepared by the method. The present invention prepares a conductive carbon slurry for coating process, the coating has strong fastness, is not easy to fall off, has good conductive effect, and can meet the corresponding conductive requirements.

The invention relates to the field of welding equipment control, and discloses a manual resistance welding controller multi-standard output and monitoring method which comprises the following steps: selecting a welding standard through an electrode holder handle dial switch, outputting a welding standard signal by adopting an 8421 coding mode, receiving the signal by a 16-way switching value detection module, and outputting the signal to a controller; and the data are transmitted to the communication adapter plate in an RS485 communication mode and then transmitted to the controller main control board for welding specification setting. The controller main control board executes welding operation after receiving the welding starting signal and transmits welding standard information to the nixie tube display module through the communication adapter board at the same time, and the welding state is displayed in real time. The system supports 16 welding specification outputs, realizes real-time monitoring of the welding process, adapts to diversified welding requirements, has the advantages of simplicity and convenience in operation, stable signals, high welding quality and the like, and effectively reduces the trial-manufacture cost of new vehicle types.

This invention discloses a distributed heterogeneous flexible assembly workshop scheduling method with transfer functionality. It includes the following steps: setting assumptions and basic parameters; proposing corresponding constraints based on the problem under study; constructing a bi-objective optimization model with the objectives of minimizing maximum completion time and minimizing total processing energy consumption. This bi-objective optimization model is used to optimize the flexible assembly workshop scheduling considering factory processing capacity, transportation stages, and workpiece transfer. Based on the process sequence, factory selection, and machine selection, a three-segment encoding and decoding mode corresponding to the bi-objective optimization model is designed. Based on the three-segment encoding and decoding modes, an improved multi-objective genetic algorithm based on Q-Learning is used to solve for the optimal scheduling scheme. This invention considers factors such as workshop processing capacity, collaborative processing, and transportation stage time, arranging the process sequence, factory, machine, and assembly workshop selection from a global optimization perspective.