12 results about "Instrument Datum" patented technology

The application provides an instrument reliability detection method, system, device and medium, and relates to the technical field of instrument detection. The method comprises the following steps: acquiring an i-th detection instrument and an i-th detection strategy. The i-th detection strategy is determined according to at least one of the following data: an instrument value of the i-th detection instrument and an operating parameter of a linkage device. The linkage device is a device in a grinding production line that affects the instrument value of the i-th detection instrument. An instrument data set of the i-th detection instrument is acquired. The instrument data set comprises a plurality of instrument values collected by the i-th detection instrument within a preset time period. According to the instrument data set of the i-th detection instrument and the i-th detection strategy, a reliability evaluation factor of the i-th detection instrument is determined. The reliability evaluation factor comprises at least one of the following: a communication state, a logic state and a value state. According to the reliability evaluation factor, a reliability state of the i-th detection instrument is determined. The application improves the detection efficiency of the detection instrument.

The invention relates to the technical field of music data coding and compression, in particular to a data coding method, a storage medium and application thereof in the field of artificial intelligence large models, musical instrument data coding is optimized by the following core technical means: merging note start and end events into single note events including note start and duration; track and channel information is stored in a structured and layered mode, and repeated declaration in each event is avoided; centrally storing element events shared by a plurality of tracks and system-specific messages; and performing event-level compression on parameters which are not changed in the continuous music events, and only recording a difference part. The method can significantly reduce data redundancy, greatly improve data storage and transmission efficiency, is especially suitable for the field of artificial intelligence music generation, can effectively shorten the length of a training data sequence, reduces calculation resource consumption and training cost of an artificial intelligence model, improves model performance, and is suitable for popularization and application. And meanwhile, the efficiency of recording the real-time playing data and editing the music score can be improved.

The invention provides an instrument reliability detection method, system and device and a medium, and relates to the technical field of instrument detection.The method comprises the steps that the i-th detection strategy of the i-th detection instrument is obtained, and the i-th detection strategy is determined according to at least one of the following data: the instrument value of the i-th detection instrument and the operation parameters of linkage equipment, the linkage equipment is equipment influencing the instrument value of the ith detection instrument in the ore grinding production line; obtaining an instrument data set of the ith detection instrument, wherein the instrument data set comprises a plurality of instrument values collected by the ith detection instrument within a preset time period; according to the instrument data set of the i-th detection instrument and the i-th detection strategy, determining a reliability evaluation factor of the i-th detection instrument, the reliability evaluation factor comprising at least one of the following: a communication state, a logic state and a numerical state; and determining the reliability state of the i-th detection instrument according to the reliability evaluation factor. According to the invention, the detection efficiency of the detection instrument is improved.

The invention provides a pharmaceutical chemical instrument type selection analysis method and device, a terminal and a storage medium, and relates to the technical field of automatic control design. The method is applied to a pharmaceutical and chemical instrument type selection modular platform and comprises the steps that a process condition table is received, the instrument type of each instrument to be selected in the process condition table is determined, the process condition table comprises multiple rows of process parameters, and each row of process parameters comprises temperature, pressure, liquid level, flow and analysis parameters; each row of process parameters represents one instrument to be selected; according to the instrument type of each to-be-selected instrument, a function table is generated by combining the technological parameters of the corresponding to-be-selected instrument, and the function table comprises an instrument data table, an instrument index table, an IO table and an instrument installation diagram. According to the method, the instrument type selection accuracy can be improved, and delay caused by difficult information search is reduced.

The present disclosure provides a system for automatic conversion of musical pieces to natural tuning based on contextual analysis, comprising a context input module configured to receive musical context information including note distribution, melodic motifs, harmonic content, temporal dependencies, metadata, and instrument data. The system includes a learning processor configured to process the musical context information using statistical and rule-based models to identify patterns linking musical context with natural tuning relationships, incorporating harmonic relationships as dependencies under a predetermined prime-limit constraining numerical complexity of frequency ratios. The system includes an inference module connected to the context input module and learning processor, configured to convert input notes from equal-tempered tuning to corresponding natural tuning frequencies based on identified patterns and musical context information, generating output comprising natural tuning frequencies expressed as whole number relationships.

The invention particularly relates to a software instrument development method based on a Qt framework. The software instrument development method comprises the steps of obtaining instrument demand data; wherein the instrument demand data comprises at least one of an instrument application scene parameter, an in-instrument data monitoring demand parameter and an in-instrument data control demand parameter; determining a component object of the instrument according to the instrument demand data; wherein the component objects are used for being combined to form a custom software instrument; configuring a corresponding control component class according to the type of each component object; calling a parameter setting method corresponding to the control component class to carry out object setting on the control component class so as to realize a target display function; and calling a drawing function, and drawing each control component class to obtain the custom software instrument. According to the method, efficient development of the instrument can be realized, so that the self-defined instrument has good cross-platform performance.

The present disclosure relates to the technical field of instrument information processing, and provides an instrument state judgment method and device, computer equipment and a medium. The method comprises the following steps: generating initial model parameters; sending an update instrument data processing model request to a model platform server; screening out target intermediate model information; obtaining a target instrument processing model; and generating instrument state information. Through the above steps, the present disclosure can screen out abnormal instruments without human detection, thereby improving detection efficiency and reducing labor costs.

This utility model relates to the field of thermal control instrument installation, specifically an installation device and cabinet. The installation device includes a housing unit, including an installation box; and a fixing unit, disposed within the cavity of the housing unit, which includes a placement component and a clamping component disposed above the placement component. The placement component includes a placement plate, a second spring, a limiting tooth, and a limiting member. The placement plate is disposed within the installation box and is U-shaped. Two sets of second springs are symmetrically arranged, one end of which is connected to the inner wall of the installation box, and the other end is connected to the placement plate. A limiting tooth is provided at the bottom end of the placement plate. A protective unit is also included, fitted at the front opening of the installation box, comprising a door, a limiting component disposed in the middle of the side wall of the door, and a cleaning component disposed at the front of the door. Through the cooperation between the limiting component and the fixing unit, the position of the instrument installed within the housing can be adjusted forward and backward, facilitating observation of instrument data and simultaneously fixing the thermal control instrument, reducing the impact of vibration on the instrument.

A kind of ModBus instrument data acquisition method and system, method includes: step 1, by pulse generator and accumulator, create time domain;Step 2, by function block, the parameter setting of ModBus instrument is carried out, and the association setting of time domain and ModBus instrument is carried out, based on the association setting, the acquisition of ModBus instrument data is carried out.The present application can quickly add multiple individual with ModBus communication instrument, and define the station address of instrument, can quickly according to the difference of different instrument ModBus data register address, directly to different instrument set different reading address, can be adjusted according to the data refresh rate requirement, collection speed, using time axis and time pointer mode to different station address instrument polling, will not because a instrument failure and influence the acquisition of other instruments.

The utility model relates to the technical field of instruments, and discloses an anti-fog automatic instrument, which comprises an instrument sealing shell, the rear side surface of the instrument sealing shell is connected with a back plate, and a measuring instrument is adhered to the back plate; the front end of the instrument sealing shell is connected with a window frame. An observation window adheres to the inner side face of the window frame. A power controller is arranged on the rear side of the bottom in the instrument sealing shell, and one end of the power controller is connected with the observation window through a wire. A rotating wheel is slidably arranged in the front end of the instrument sealing shell, and a worm engaged with the rotating wheel is arranged at the bottom of the rotating wheel; a water mist cleaning assembly and a dust cleaning assembly used for cleaning the inner wall and the outer wall of the observation window are installed at the circle center of the rotating wheel. Through the water mist cleaning assembly, the dust cleaning assembly and the power supply controller, demisting, dust removing and deicing functions of the instrument observation window are achieved, the instrument data observation view field is improved, and the problem that the measurement data observation view field of a traditional instrument glass observation window is not good due to water mist, dust and frost is solved.

A method and system for stage recognition based on surgical instrument feature fusion, relating to the field of video processing technology, includes receiving a sequence of surgical video frames, performing preprocessing and preliminary encoding to generate initial spatiotemporal features; using a multi-layer neural network to process the initial spatiotemporal features and extract multi-scale deep spatiotemporal features; detecting surgical instruments and extracting instrument features based on the surgical video frame sequence; constructing a spatiotemporal-instrument cross-attention fusion algorithm, utilizing the cross-attention mechanism in this algorithm to fuse deep spatiotemporal features and instrument features to generate fused spatiotemporal features; adaptively modulating the fused spatiotemporal features with instrument perception to generate instrument perception fused features; and outputting the determination result of the current stage of the surgery based on the instrument perception fused features. This method addresses the problems of low accuracy in traditional surgical stage recognition due to reliance on instrument data.