19results about How to "Good technical support" patented technology

The invention discloses a real estate registration-oriented business data integration method and system, and relates to the technical field of real estate registration data integration processing. The real estate registration-oriented business data integration method comprises the following steps of: obtaining identification information, property proving information, land use information and transaction record information of a real estate to be registered, and establishing a real estate initial registration data table; acquiring current state information of the real estate to be registered, analyzing a terrain development index, a land area development index, an environment quality index, an infrastructure convenience index, a regional market economic index and a comprehensive development index, and fusing and storing the indexes into a real estate initial registration data table; according to the method, the comprehensive development index is constructed by calculating multiple indexes such as the terrain development index, the land area development index, the environment quality index, the infrastructure convenience index and the regional market economic index, the development potential of the real estate is systematically quantified, and the comprehensive value and the development potential of the real estate can be reflected.

The invention discloses a multi-picking-hand path planning control system of a tea tender shoot picking robot, and the system obtains and processes a tea tender shoot picture through a data obtaining module, and determines the coordinate information of a picking target and the initial coordinate information of each picking hand through an initialization module. An initial candidate path of each picking hand is obtained through a path preliminary planning module based on a preset reinforcement learning algorithm, collision detection is performed on the initial candidate paths through an optimization module, so that an optimized candidate path of each picking hand is determined, and the optimized candidate paths are screened by using a genetic algorithm to obtain an optimal picking path. The method improves the processing capability of a control system on complex conditions, reduces the dependence of a genetic algorithm on a fitness function and global information, greatly improves the robustness and generalization of a control algorithm, can guarantee the quality of tea tender shoots and the safety of a picking hand, and is suitable for popularization and application. And a good technical support is provided for application and popularization of mechanical picking of tea tender shoots.

The invention discloses a multi-mode defect automatic classification method, device and equipment and a storage medium. The method comprises the following steps: acquiring a microscope image, an X-ray image and defect feature information data of a to-be-detected product; first classification processing is preferentially carried out based on the microscope image, when the first classification processing result meets a first preset reliability condition, the first classification processing result is taken as a final classification result, and when the first classification processing result does not meet the first preset reliability condition, the final classification result is taken as a final classification result. Performing feature fusion based on the X-ray image and the defect feature information data, and executing second classification processing; when the second classification processing result meets a second preset reliability condition, the second classification processing result serves as a final classification result, and when the second classification processing result does not meet the second preset reliability condition, defect type judgment is conducted based on key parameters in the defect feature information data, and the final classification result is output; the classification accuracy and efficiency can be improved, and the error recognition rate is reduced.

The invention discloses a soil pressure calculation method and system for a circular foundation pit supporting structure. The method comprises the steps that a numerical analysis model of the circular foundation pit supporting structure is established; a deformation curve and a circumferential stress coefficient of the circular diaphragm wall are obtained through the numerical analysis model; according to a horizontal layering method, a stress balance formula, a moment balance formula and a circumferential stress coefficient fitting formula are combined to obtain a horizontal soil pressure calculation formula of the wall body of the circular diaphragm wall in the limit state; the friction angle in the soil body is corrected by considering the influence of displacement, and a soil body cohesive force exertion value and a cohesive force exertion value between the wall and the soil in a non-limit state are obtained; according to the two cohesive force exerting values and a calculation formula of the horizontal soil pressure of the circular diaphragm wall body in the limit state, the horizontal soil pressure of the circular diaphragm wall body in the non-limit state is calculated; by simultaneously considering the lateral deformation of the wall body and the circumferential stress influence of the circular foundation pit, a measurement index and a reference basis can be provided for the optimal design size of the supporting structure of the circular foundation pit.

The invention provides a heterogeneous ground support network deployment method for unmanned aerial vehicle autonomous inspection, which comprises the following steps: constructing a construction cost estimation model of an unmanned aerial vehicle ground support network based on three parts of ground nodes, antennas and transformation cost; based on the construction cost estimation model, according to two constraint conditions of unmanned aerial vehicle air-ground communication transmission time delay and ground network node deployment positions, a problem model is constructed for an unmanned aerial vehicle ground support network construction cost minimization target; and for the constructed problem model, a node search algorithm with the maximum cluster coverage rate is adopted to solve the problem, and the deployment design of the unmanned aerial vehicle autonomous inspection ground support network under the condition of a given unmanned aerial vehicle inspection task coverage area is realized. According to the method, the problems of construction and deployment of the unmanned aerial vehicle ground support network under the condition of a given inspection task coverage area can be solved, and automatic optimization of the deployment position of the network node is realized.

The invention relates to a new energy data frequency raising reconstruction method and device based on a generative adversarial network, equipment, a storage medium and a program product, and relates to the technical field of regional power data transmission. According to the invention, high-precision frequency raising reconstruction can be realized for different data sets under the same model parameters. The method comprises the following steps: performing normalization processing and format conversion on new energy data to obtain a new energy image; performing feature extraction on the new energy image by using a generator in the generative adversarial network model to obtain new energy image features, and obtaining a training data set and a verification data set according to the new energy image features; inputting the training data set into the generative adversarial network model for training, and adjusting hyper-parameters of the generative adversarial network model by using the verification data set to obtain a target generative adversarial network model; and inputting the new energy data into the target generative adversarial network model for frequency raising reconstruction to obtain high-resolution target new energy data.

This invention relates to the field of gas field production technology, and in particular to a gas well pumping and drainage method for producing gas by draining liquid from the entire wellbore. The steps are as follows: Step 1: Deploy a single-flow device; Step 2: Begin the pumping operation; Step 3: The pumping device descends; Step 4: Reciprocating operation; Step 5: Detect the liquid accumulation and resume production. This invention provides a gas well pumping and drainage method for producing gas by draining liquid from the entire wellbore, and provides a downhole device with a reasonable structure, stable performance, and strong gas-liquid lifting capacity, which has a gas-liquid unidirectional flow control function to assist in gas-liquid lifting and prevent liquid backflow. This method solves the problems encountered in the pumping and drainage process of gas wells by adopting a new method of relay drainage using a pumping device and a single-flow device. It can significantly reduce the height of the liquid column in the wellbore, realize the lifting of liquid from the entire wellbore of the liquid-filled gas well, further improve the production recovery effect of the liquid-filled well, and effectively solve the problem of production recovery of liquid-filled gas wells.

The invention discloses a predictive current control method, device and equipment for a permanent magnet hub motor and a medium, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining prior input voltage data and prior output current data of a preset length, and converting the prior input voltage data and the prior output current data into a Hankel matrix form, and taking the prior input voltage data and the prior output current data as prior data; jointly representing the trajectory to be predicted, the decision vector, the initial trajectory and the prior data as a data prediction model of a complete input and output trajectory; constructing a cost function and a data prediction model, converting the cost function and the data prediction model into a quadratic programming function configuration, and solving the quadratic programming function to obtain a reference voltage vector; and carrying out cost function evaluation on the candidate voltage vector so as to obtain an optimal voltage vector through screening to act on the motor. According to the method, the problem of uncertainty of parameters can be effectively solved, the robustness of a motor system is improved, and meanwhile, the number of to-be-evaluated voltage vectors can be effectively reduced, so that optimization of calculation efficiency is realized.

The invention discloses a building robot operation method and application thereof.According to the scheme, after preprocessing and image obtaining are ingeniously conducted on a to-be-constructed wall face, corresponding construction track information is generated according to the obtained construction area image in combination with operation parameters of a building robot; and then material preparation information required by construction is generated by further combining the construction area determined by the construction area image, so that the building robot can ensure sufficient material supply during construction, meanwhile, the scheme also utilizes a grid projection method to judge the wall flatness, the implementation is simple, the application is flexible, and the construction efficiency is improved. In addition, the construction robot operation method of the scheme can be further applied to a building surface putty blade coating control method based on the building robot as a loop of the working method of the building robot operation method, and good technical support is provided for the building robot in the putty blade coating work.

The invention relates to an automatic flow control system of an unattended ship unloader, which is characterized by comprising upper computer software used for receiving a user instruction, processing data and providing a user interface; the sensor is used for monitoring the current of the motor in real time and transmitting the current data to the controller; the controller is used for receiving the current data from the sensor and automatically adjusting the traveling speed and the vertical height of the cart according to the data so as to realize the automatic control of the flow; and the actuator is used for adjusting the traveling speed and the vertical height of the cart according to an instruction of the controller. Key parameters such as motor current can be monitored in real time, the walking speed and the vertical height of the cart are automatically adjusted through an intelligent control algorithm, accurate control over the material taking flow is achieved, meanwhile, remote monitoring and operation are supported, and operation efficiency and safety are improved.

The application relates to a kind of honeycomb aluminum structure to space debris ultra-high speed collision protection quantitative evaluation method, belong to numerical simulation technical field.Based on the actual ultra-high speed collision situation, establish the simulation model of ultra-high speed collision, respectively extract the backplane and the back effect plate of honeycomb aluminum structure after ultra-high speed collision Perforation damage image, and extract the coordinate information of SPH particle of fragment cloud produced after space debris collides with honeycomb aluminum structure;The extracted perforation damage image is sequentially grayed, binarized, then the damage area is identified and the area size is counted, and the identification and size statistics of the minimum circumscribed circle or the minimum circumscribed fitting ellipse are realized, and the damage degree and range are quantitatively evaluated based on the above statistical results;Based on the coordinate information of the extracted SPH particle, the density clustering algorithm is used to realize the identification and mass statistics of the center dangerous fragment of the fragment cloud formed after collision, which realizes the quantitative evaluation of protection efficiency, and greatly saves the research and development cost.

The invention discloses a regulation and control method of a single-stage microporous metal oil-water separation membrane with high permeability and high selectivity, which comprises the following steps of: 1, obtaining a aesthetic formula and empirical parameters a, b and c through a gradient experiment; 2, deducing a minimum value of f according to empirical parameters a, b and c to obtain a corresponding R / D; and 3, obtaining the single-stage microporous metal oil-water separation membrane with high permeability and high selectivity by adopting the obtained R / D. According to the single-stage microporous metal oil-water separation membrane designed by adopting a structure-function integrated scheme, the seesaw effect between high selectivity and high permeability is broken through, the flux bottleneck of a nano ceramic / micron metal porous separation membrane is broken through, and the actual wetting state is continuously and quantitatively described by a proposed aesthetic formula; the microporous membrane is high in strength, good in mechanical durability and free of coating stripping risk, upgrading and optimization of the metal oil-water separation membrane are accelerated, and technical support is provided for cost reduction and efficiency improvement of industrial mixed fluid filtration.

This invention relates to the field of molecular biology, and more particularly to a kit and method for detecting obesity gene polymorphisms. The invention develops a kit and nucleic acid mass spectrometry detection method for simultaneously detecting obesity gene polymorphisms rs1421085, rs9939609, rs1801282, rs1042713, and rs17782313. This allows for the rapid and simultaneous detection of ten genotypes at five polymorphic loci, making genetic testing for obesity-related polymorphisms more convenient and offering high sample throughput. This provides better technical support for obesity gene detection and helps to provide better suggestions for personal weight loss plans, demonstrating broad application prospects.

The present invention discloses a blade tip clearance measuring device and method based on a closed environment. The blade tip clearance measuring device is used for being nested and installed on a rotor blade that needs to be detected. The rotor blade is located in a casing. The blade tip clearance measuring device comprises a capacitive sensor, a detection circuit unit, a wireless transmission module, a power supply battery and a fastening device. The capacitive sensor is arranged on the top of the blade tip clearance measuring device. The radial position of the blade tip clearance measuring device is adjusted by adjusting the fastening device so that the electrode plate of the capacitive sensor is parallel to the top of the rotor blade. The capacitive sensor, the detection circuit unit and the wireless transmission module are connected in sequence. The power supply battery is used for providing the electric energy required by the blade tip clearance measuring device.

The invention discloses a sandbag balance weight type 90 road cone automatic placing and recycling system which comprises an automatic storage mechanism, a sandbag and road cone separating and combining mechanism, a shifting and righting mechanism, an automatic retracting and releasing mechanism, a rotary conveying mechanism, a mechanical arm and other auxiliary mechanisms, and the rotary conveying mechanism comprises a motor, a key, a shaft, a gear meshing mechanism, a rotary disc and a conveying belt. The rotary conveying mechanism is mainly used for rotating the road cones to the designated position after the road cones are taken out of a warehouse, the motor is a power source of the rotary mechanism and provides power for rotation of the rotary disc, the motor is started, rotating force is transmitted to the gear meshing mechanism through the transmission shaft, and then the conveying belt rotates to achieve the conveying function. According to the sandbag balance weight type 90 road cone automatic placing and recycling system, a sandbag and road cone combination body is placed on the road surface, recycling work on the road is completed, automatic work is achieved, the placing efficiency is improved, manpower is liberated, and the operation content is achieved in a circulating and reciprocating mode.

The invention discloses a body-building action recognition and evaluation method based on a sparse inertial sensor, and belongs to the technical field of artificial intelligence and exercise health. The body-building action recognition and evaluation method comprises the following steps: acquiring 6-node motion information of a human body through the inertial sensor, acquiring 24-node motion information of the human body through a human body motion reconstruction network, and inputting the information into a trained body-building action classification model; and finally, according to a body-building action recognition result, performing quantitative evaluation on the body-building actions by utilizing dynamic time warping (DTW), and quickly comparing the real-time body-building actions with standard actions. According to the body-building action recognition and evaluation method based on the sparse inertial sensor, accurate recognition and quantitative evaluation of the body-building action can be effectively achieved, and meanwhile the body-building action recognition and evaluation method is low in price and higher in practical applicability.

The present application discloses a method, device, electronic device and storage medium for trajectory planning of unmanned driving equipment. The method comprises: obtaining a first state of the unmanned driving equipment at a first moment; sampling control quantities according to the first state to obtain multiple groups of sampled control quantities; obtaining a set of sampled states of the unmanned driving equipment at a second moment according to a trajectory reference line, the first state, the multiple groups of sampled control quantities and a prediction model; the prediction model is implemented based on a model predictive control algorithm; dynamic planning is performed according to the first state and the set of sampled states to determine the predicted state of the unmanned driving equipment at the second moment; and the planned trajectory of the unmanned driving equipment is determined according to the first state and the predicted state. The beneficial effect is that the model predictive control MPC is creatively added to the trajectory planning stage, and the sampling is different from the existing scattered sampling in terms of sampling, but the control quantity sampling is used, which provides a guarantee for trajectory accessibility.

The invention relates to the technical field of computers, is applied to the field of digital finance, and discloses an MQ message control method and device based on conditional grouping, equipment and a storage medium. The method comprises the steps of configuring service based on a target condition, and determining a target MQ message customization strategy; determining a message queue binding relationship according to a target MQ message customization strategy; and transmitting the target MQ message through the message queue binding relationship. According to the method, the service is configured according to the conditions, queue grouping management in the MQ cluster is achieved, and refined directional message distribution is achieved. The transformed message production and consumption structure supports small-batch flow verification, customized scene verification and iterative regression, provides better and more stable technical guarantee for asynchronous consumption of a payment scene, ensures that producers and consumers can obtain latest configuration information in time, avoids message loss or repetition, and improves the payment efficiency. The stability of MQ message grouping in a payment asynchronous scene is improved.

The present application relates to the field of geotechnical engineering and bridge seismic technology, especially relates to a kind of geotechnical vibration influence analysis method and system of bridge pile foundation, including obtaining geotechnical vibration data and pile foundation structure data, establishing multi-scale coupling equation group and partition calculation to obtain partition response field, based on stress evolution, energy transfer path is constructed to obtain stress concentration position, stress concentration position is mapped to pile body to identify sensitive section and calculate fatigue damage degree distribution to identify dangerous section, extract frequency domain feature to identify vibration excitation mode feedback adjustment equation group, through multi-scale partition coupling and energy transfer tracking, the accurate analysis of pile foundation dynamic response and fatigue damage is realized, and the accuracy of bridge seismic evaluation is improved.