8results about How to "Resolve poor accuracy" patented technology

The embodiment of the invention provides a multi-target tracking method and device, a storage medium and electronic equipment, and the method comprises the steps: carrying out the matching of each to-be-matched track and an observation target according to a three-dimensional matching parameter, and obtaining a three-dimensional matching probability corresponding to each to-be-matched track; matching each to-be-matched track with the observation target according to the two-dimensional matching parameters to obtain a two-dimensional matching probability corresponding to each to-be-matched track, the two-dimensional matching parameters are used for evaluating the matching degree between the two-dimensional projection corresponding to each track to be matched on a specified two-dimensional plane perpendicular to the horizontal plane and the two-dimensional projection of the observation target; fusing the three-dimensional matching probability corresponding to each track to be matched and the two-dimensional matching probability corresponding to each track to be matched into a fusion matching probability corresponding to each track to be matched; and when the observation target is determined to be matched with the target tracking trajectory based on the fusion matching probability corresponding to each to-be-matched trajectory, updating the target tracking trajectory by using the observation target.

According to the game configuration table ID replacement method and system, the electronic equipment and the storage medium provided by the embodiment of the invention, compared with a scheme of manually realizing ID replacement in the related technology, the scheme of the invention has the advantages that the efficiency is higher and the error probability is lower through an automatic tool based on an xml (Extensible Markup Language) file. Besides, compared with a repeated replacement problem existing in a replacement tool in the prior art, the replacement method provided by the technical scheme of the invention has the advantages that two replacement processes are designed, an original ID is replaced by an intermediate ID which is different from each other and has independence, and then the intermediate ID is replaced by a new ID in the second step; therefore, the problem of poor accuracy caused by repeated replacement in the prior art is solved, and the accuracy of ID replacement is improved.

The embodiment of the invention provides a sensing target tracking method and device, a storage medium and an electronic device, and the method comprises the steps: continuously obtaining the vehicle positioning information of a target vehicle, and determining an attitude transformation matrix corresponding to the vehicle positioning information of the target vehicle; updating the vehicle positioning information of the target vehicle by using an attitude transformation matrix corresponding to the vehicle positioning information of the target vehicle to obtain updated vehicle positioning information of the target vehicle; acquiring target positioning information of each sensing target sensed by a sensing system of the target vehicle; based on the vehicle positioning information corresponding to each sensing target, converting the target positioning information of each sensing target into local positioning information under a local coordinate system to obtain local positioning information of each sensing target; and based on the local positioning information of each sensing target, performing fusion tracking on the sensing target sensed by the sensing system of the target vehicle.

The embodiment of the invention provides a carving control method and device, a storage medium and electronic device.The method comprises the steps that target carving content is determined, and carving data corresponding to the target carving content are target carving data; according to the cutting type corresponding to the target carving data and the material color corresponding to the target carving data, the target carving data is separated into a group of sub-carving data, and each sub-carving data corresponds to one cutter; based on a target material corresponding to each piece of sub-carving data, preset carving parameters corresponding to each piece of sub-carving data are determined, and the target material corresponding to each piece of sub-carving data is a material used for carving according to each piece of sub-carving data; the preset carving and drawing parameter corresponding to each piece of sub-carving and drawing data is a carving and drawing parameter of a target material corresponding to each piece of sub-carving and drawing data under a cutter corresponding to each piece of sub-carving and drawing data; and issuing each piece of sub-carving data and the preset carving parameters corresponding to each piece of sub-carving data to carving equipment.

The invention discloses a production plan generation method, device and system, a medium and a product. The method comprises the following steps: acquiring power consumption capacity data corresponding to at least one production workshop in a production department; wherein the power consumption capacity data comprises workshop unit power consumption and initial workshop capacity corresponding to initial scheduling time; determining an initial energy demand quantity of the production department according to the unit generating capacity of the generator set and the at least one power utilization capacity data; according to the initial energy demand quantity and the energy productivity data, determining the predicted power generation time of the generator set; and if the predicted power generation time exceeds the initial scheduling time, generating a production plan according to the predicted power generation time and the at least one initial workshop capacity, thereby solving the problem of poor accuracy of the production plan formulated according to experience, achieving the purpose of intelligent optimization of the production plan, and reducing the power consumption cost of the production task.

The invention relates to a gas turbine state recognition method based on a multi-scale void variational graph convolutional network, and the method comprises the steps: obtaining the working condition data of a gas turbine under a fault working condition, and enabling the working condition data to comprise a plurality of sensor signals which are mutually interfered and have redundant information; performing multi-scale associated feature extraction and coding on the working condition data through a multi-scale cavity variational graph convolution model to obtain hidden variable features; and decoding the hidden variable features into reconstructed data, and based on the reconstructed data, performing fault task classification by applying a pre-trained neural network to obtain a gas turbine state matched with the working condition data. The problem of poor accuracy of gas turbine state recognition of fault states of different parts under information interference is solved, and remarkable progress is achieved in the aspect of improving the running robustness and fault recognition precision of a gas turbine system.

The invention relates to the technical field of house resource recommendation, and provides a house resource recommendation method and device. The method comprises the following steps: acquiring house source data, and constructing a context prompt word for the house source data; inserting a low-rank matrix into a weight matrix of a housing resource recommendation model, taking the context cue word as an input of the housing resource recommendation model, and predicting a content corresponding to the context cue word based on housing resource data by using the housing resource recommendation model; calculating a loss value based on the housing resource data and the content corresponding to the context cue word, and optimizing a low-rank matrix in a housing resource recommendation model according to the loss value so as to enable the housing resource recommendation model to adapt to the housing resource data; and when a query request of a user is received, determining a target housing resource corresponding to the query request based on the housing resource data by using the housing resource recommendation model, and recommending the target housing resource to the user. By adopting the technical means, the problem of poor accuracy of house resource recommendation caused by data sparsity in the prior art is solved.

This invention relates to the field of oil extraction equipment technology, and discloses a clamping device and a metal drill tong. The clamping device includes: a frame assembly; two clamping components symmetrically arranged on the frame assembly, each clamping component including a connecting component and a clamping arm, the clamping arm being hinged to the frame assembly via the connecting component; and a drive component disposed on the frame assembly, the drive end of which is simultaneously drivenly connected to the connecting components of the two clamping components. This invention, by setting the clamping components and drive component on the frame assembly, allows the two clamping components to continuously move along a symmetrical clamping trajectory until they contact the workpiece when the clamping device clamps it, resulting in higher clamping accuracy. Furthermore, since the clamping center lines of the two clamping components coincide with the axis of the metal drill tong body, the clamping components can also center and straighten the workpiece during clamping, correcting any deviations in the workpiece's placement.