446results about How to "Avoid time" patented technology

The invention belongs to the field of power distribution network low-carbon economic optimization scheduling, and provides a power distribution network source network load storage low-carbon optimization scheduling increment reinforcement learning method and system, and the method comprises the steps: carrying out the intelligent agent division of a power grid, obtaining a plurality of intelligent agent regions, and collecting the observation data of each intelligent agent region; on the basis of the observation data, constructing a low-carbon economic dispatching model of source-grid-load-storage cooperation by taking the operation cost and carbon emission of each agent regional power grid as objective functions; designing the source-network-load-storage coordinated low-carbon economic dispatching model into a reinforcement learning model in a multi-agent environment according to a state space, an action space, an environment and a reward function; and solving the reinforcement learning model in the multi-agent environment to obtain an optimal scheduling solution. According to the incremental optimization method, the environment can help the intelligent agent to detect environment changes in training, excessive exploration risks are avoided, the training time is shortened, and meanwhile the flexibility of the system is improved.

The invention relates to the technical field of fault detection for a wireless communication network, and discloses a fault detection method for the wireless communication network. By collecting data of base station signal strength, network delay, data packet loss rate and user equipment signal quality, the problem of insufficient fault detection caused by a single index is solved. Through multi-dimensional data acquisition, the system can comprehensively evaluate network performance, the fault detection accuracy is improved, and different fault types can be effectively identified especially in a complex fault mode. By storing the data according to the time sequence, the problem of time sequence chaos is avoided, and accurate detection of time-varying faults is ensured. The comprehensive data vector generated by each time of sampling comprises a plurality of network performance indexes, so that the fault detection and positioning capability is improved. Abnormal values are eliminated through data preprocessing, the data quality is ensured, an accurate basis is provided for subsequent analysis, and the reliability of a detection result is ensured.

The invention discloses a system and a method based on laboratory process intelligent management, and relates to the technical field of intelligent management. The system comprises an experiment task classification and sorting module, a historical data analysis and task duration prediction module, an overlapping time period analysis and intelligent scheduling module and a real-time monitoring and task progress adjustment module. The experiment task classification and sorting module is responsible for acquiring an initial experiment task list and carrying out task classification and sorting; the historical data analysis and task duration prediction module predicts the total duration of the experiment task by using historical data and provides accurate task duration prediction; time overlapping between the overlapping time period analysis and intelligent scheduling module processing tasks is carried out, and the task execution sequence and the equipment use time are intelligently adjusted; and the real-time monitoring and task progress adjusting module tracks the task execution condition in real time, analyzes the actual and predicted deviation and carries out necessary progress adjustment.

The invention discloses a preparation method of an ester polycarboxylic acid water reducer, and belongs to the technical field of concrete admixtures. The preparation method of the ester polycarboxylic acid water reducing agent comprises the following steps: under an alkaline condition, carrying out free radical polymerization reaction on a polyether macromonomer and an unsaturated carboxylic acid monomer under the action of a chain transfer agent A, a chain transfer agent B and an initiator, continuously adding a catalyst, and carrying out dehydration esterification reaction under the action of the catalyst, so as to prepare the ester polycarboxylic acid water reducing agent, the polyether macromonomer is monohydroxy polyether of which the molecular weight is between 500 and 5000; the chain transfer agent A is one of acetone, isopropanol, sodium hydrogen sulfite, sodium hypophosphite, sodium formate and the like; the chain transfer agent B is one of mercaptoethanol, mercaptopropanol, mercaptoacetic acid, mercaptopropionic acid and the like; the catalyst is a phosphonic acid compound with hydroxyl or amino. The preparation method is simple in process and low in energy consumption, and the prepared ester polycarboxylic acid water reducer product is excellent in performance.

The invention discloses a deep learning-driven intelligent analysis method for automobile supply chain bill data, and relates to the technical field of data management.The deep learning-driven intelligent analysis method comprises the steps that an automobile supply chain bill is scanned to obtain scanned images of the automobile supply chain bill, and then the multiple scanned images obtained through scanning are preprocessed periodically to obtain a ciphertext conversion sequence; converting the ciphertext conversion sequence, and determining an array ciphertext interval of each pre-processing period according to the number of pre-processing times and the number characteristic of the segmentation array of the currently pre-processed scanning image in the process of pre-processing the scanning image, according to an array ciphertext interval, 16 kinds of originally existing four-bit binary numbers are compressed into 8 kinds, and ciphertext characters are used for increasing fault tolerance of a ciphertext conversion sequence after forward transmission, so that the ciphertext conversion sequence obtained through final conversion can have 16 kinds of four-bit binary numbers on the whole or in groups, complexity and difficulty are increased for three-party cracking, and the conversion efficiency of the ciphertext conversion sequence is improved. And the security of the scanned image in transmission is further ensured.

The invention discloses a super-hydrophobic anti-icing coating for a power transmission line and a preparation method, and belongs to the technical field of preparation of anti-icing coatings. The super-hydrophobic anti-icing coating for the power transmission line is composed of a coating wrapping the surface of the power transmission line, and the coating is composed of the following components in parts by weight: 34-45 parts of composite resin, 8-14 parts of a composite ice melting agent, 10-18 parts of deionized water, 1-3 parts of hexadecyl trimethoxy silane and 50-58 parts of tetrahydrofuran, the composite resin is prepared from carboxyl multi-walled carbon nanotubes, isopropanol, tetraethoxysilane, a silane coupling agent KH-550, perfluorodecyl trimethoxysilane, butyl acrylate, methyl methacrylate and dodecafluoroheptyl methacrylate, and the composite ice melting agent is prepared from pyridine-2, 6-dicarboxylic acid, thionyl chloride and nicotinic acid hydrazide. The coating prepared by the method has excellent hydrophobicity, wear resistance and anti-icing effect.

The invention provides an intelligent fire fighting system based on a digital twinning technology, and belongs to the technical field of intelligent fire fighting, and the system comprises a digital twinning model construction module which is used for constructing a digital twinning model based on building data of an interested building and equipment data of fire fighting equipment in the interested building; the fire-fighting simulation model generation module is used for acquiring fire-fighting alarm information and adding the fire-fighting alarm information to the digital twinborn model to generate a fire-fighting simulation model; the early warning coefficient determination module is used for acquiring model parameters in the fire-fighting simulation model and determining an early warning coefficient based on the model parameters; and the fire-fighting decision generation module is used for generating a fire-fighting decision scheme and a fire-fighting equipment driving instruction when the early warning coefficient is greater than a threshold coefficient, the fire-fighting equipment driving instruction is used for driving fire-fighting equipment to enter a pre-starting state, and the fire-fighting decision scheme is used for indicating firefighters to perform fire rescue. According to the invention, the timeliness and accuracy of fire rescue are improved.

The invention discloses a method for realizing three-dimensional modeling of a belt conveyor based on Bentley secondary development, which belongs to the technical field of three-dimensional design, and comprises the following steps: constructing an initial assembly model of the belt conveyor, and obtaining basic configuration data; comparing real-time configuration data and basic configuration data of the design, screening out change data, and correcting the initial assembly model to obtain a first assembly model; whether the real-time configuration data can be assembled or not is judged, if yes, a first assembly score of each component is calculated, and if not, an assembly conflict prompt is generated; dividing the components in the first assembly model into easy-to-assemble components, first difficult-to-assemble components and second difficult-to-assemble components, judging the component types of the changed components, and adjusting the parameters and the assembly sequence of the changed components; and the operation is repeated until all the parts in the real-time configuration data are easy-to-assemble parts, the optimal assembly model is generated, and the three-dimensional modeling efficiency of the belt conveyor is improved through the three-dimensional modeling method for the belt conveyor.

The utility model discloses a semi-automatic tassel removing device for corn breeding, and particularly relates to the technical field of agricultural machinery, the semi-automatic tassel removing device comprises a collecting box, the top of the collecting box is fixedly connected with a plurality of supporting columns, the top ends of the supporting columns are fixedly connected with shells, and clamping assemblies are installed in the shells; the clamping assembly comprises a first cylinder, a sliding plate is installed at the output end of the first cylinder, a sliding block is fixedly connected to the middle of the bottom end of the sliding plate, and a sliding rail is installed on the outer side of the sliding block. Compared with the prior art, the clamping assembly is arranged, the sliding plate is used for driving the two pushing rods to move, then the two pushing rods are used for driving the clamping ring to clamp and fix tassels through the multiple moving rods, the tassels can be stably clamped, and operation errors caused by unstable hands or external environment factors are effectively avoided; the working efficiency is improved, meanwhile, the integrity of corn plants is effectively protected, and the quality of the corn plants is improved.

The invention discloses a large-scale outdoor sound box, and relates to the technical field of outdoor sound boxes, the large-scale outdoor sound box comprises an outdoor sound box and a sound outlet grating, the sound outlet grating is fixedly connected to the outdoor sound box, the outdoor sound box is provided with a rain shielding assembly, the rain shielding assembly comprises a fixing rod, and the fixing rod is fixedly connected to the top surface of the outdoor sound box; the waterproof rolling cloth shields the side, away from the outdoor sound box, of the sound outlet grating, the sleeve box and the waterproof rolling cloth form a closed cavity, the sound outlet grating is isolated from the external rainstorm environment, and the situation that under continuous impact and invasion of rainwater in the rainstorm environment, the sound outlet grating will become a channel for rainwater to permeate into the outdoor sound box is avoided; the outdoor sound box is simple in structure and convenient to use, ensures use safety of equipment of key components such as a loudspeaker and a circuit in the outdoor sound box, ensures normal work of the outdoor sound box, can avoid the problems that metal components rust and plastic components age due to the fact that rainwater makes contact with the sound outlet grating and the components in the outdoor sound box, and ensures the service life of the outdoor sound box.

The invention discloses a method for detecting position information of a butt joint hole of a skirt end face of a solid rocket engine, and the method comprises the steps: 1, installing a tool on the butt joint hole of the skirt end face, and completing the laser scanning of the skirt end face and a cylinder segment which is about 200mm around the skirt; the tool is conical, the tail end of the tool is provided with threads, the tool can be directly installed on a skirt end face threaded hole, and the axis of the conical face is coaxial with the axis of the threaded hole. 2, performing preliminary optimization on the three-dimensional point cloud model obtained by scanning, then eliminating errors caused by noisy points by using a filtering model combining a system filtering algorithm and a moving least square method, and finally completing overall optimization of the point cloud data; 3, packaging the optimized model by using a triangle principle, carrying out reverse modeling on the packaged three-dimensional model, and extracting to-be-detected data by using the reverse regularized model and the three-dimensional point cloud model; according to the invention, detection of position information of butt joint holes of skirt end surfaces of various models of solid rocket engines including large diameters can be realized.

The utility model belongs to the technical field of screening equipment, and particularly relates to waste concrete separation equipment for concrete processing, which comprises an equipment shell, a separation cavity and a collection cavity are respectively arranged in the equipment shell from top to bottom, a feed hopper is arranged on one side of the top of the separation cavity, and a crushing roller group is arranged in the feed hopper; a crushing roller is rotationally connected to the interior of the separation cavity, a spiral feeding plate is arranged on the surface of the crushing roller, a crushing seat is arranged below the crushing roller, a groove matched with the spiral feeding plate in shape is formed in the crushing seat, and a plurality of screening holes are formed in the bottom of the crushing seat; the four corners of the bottom of the smashing base are slidably connected with the bottom of the separation cavity through guide rods, and compression springs are arranged on the outer sides of the guide rods and located between the smashing base and the separation cavity. And a collecting groove is formed in the collecting cavity, one side of the bottom of the collecting groove penetrates through the equipment shell to be provided with a discharging opening, and a spiral feeding rod is arranged in the collecting groove.

The invention relates to the technical field of testing, in particular to a simulation testing method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining the testing requirements of an auxiliary driving system and cabin domain control; configuring a CAN port of the virtual gateway according to a test requirement; and building a virtual driving environment on the simulation platform, and testing a signal response between the auxiliary driving system and the cabin domain control based on the configured CAN port. Therefore, the problems of low testing efficiency and high development cost in real vehicle testing in the prior art are solved.

The present invention relates to the field of non-standard automation technology, in particular to an end cap rotary cutting assembly system and method for an injection-molded bottle body, comprising an injection molding machine, an injection molding transfer mechanism, a conveying mechanism, a first positioning mechanism, a first clamping mechanism, a rotary cutting mechanism, a second positioning mechanism, a second clamping mechanism and an end cap assembly mechanism, wherein the injection molding machine is used for bottle body injection molding, the injection molding transfer mechanism comprises an injection molding material picking component and an injection molding conveying component, the injection molding material picking component is used for grabbing the injection-molded bottle body on the injection molding machine and placing it on the injection molding conveying component, the injection molding conveying component is used for conveying the bottle body toward the conveying mechanism, the conveying mechanism is used for bottle body conveying, the first positioning mechanism is used for positioning the bottle body on the conveying mechanism, the first clamping mechanism is used for clamping the positioned bottle body and conveying it toward the rotary cutting mechanism, and the rotary cutting mechanism is used for ring cutting at the port on the bottle body; the present invention realizes full-chain automated operation from injection molding to end cap assembly through integrated and automated design.

The invention discloses a short-term power load prediction method and device, a terminal and a medium, and the method comprises the steps: collecting the historical load time series data of a plurality of groups of power systems and the historical exogenous variable time series data of the same time scale according to a set time step, and constructing an original data set; preprocessing the original data set to obtain a complete and available sample set; constructing a sequence-to-sequence LSTM-seq2seq load prediction model by using a long short-term memory neural network; training the constructed LSTM-seq2seq load prediction model on the basis of the sample set; and preprocessing historical load time sequence data and historical exogenous variable time sequence data within a set time step before a to-be-predicted time period, and inputting the preprocessed historical load time sequence data and historical exogenous variable time sequence data into the trained LSTM-seq2seq load prediction model to obtain a power load prediction result within the prediction time period. According to the method, short-term power load prediction can be efficiently and accurately realized.

The invention relates to the technical field of nerve calming granules, and discloses sugar-free blood nourishing and nerve calming granules and a preparation method thereof.The sugar-free blood nourishing and nerve calming granules are composed of hairyvein agrimony, prepared rehmannia roots, vine of multiflower knotweed, yerbadetajo herbs, rehmannia roots, suberect spatholobus stems, cortex albiziae and sugar-free auxiliary materials; comprising microcrystalline cellulose, isomaltitol, mannitol, nano silicon dioxide, Arabic gum, hydroxypropyl methyl cellulose and polyvinylpyrrolidone. By optimizing the proportion and process conditions of the auxiliary materials and the synergistic effect of the medicinal material extract and the auxiliary materials, the humidity of the wet granules is controlled to be 30-35%, the granulation pressure is 3-6 MPa, the drying temperature is 50-55 DEG C, and finally the granules with the particle size of 200-400 microns are prepared. According to the invention, the problems of poor particle formability and insufficient disintegration performance caused by removal of sugar are overcome, rapid disintegration, good formability and stability of sugar-free particles are realized, the solubility and taste of the particles are improved, and the sugar-free granules are suitable for long-term administration by diabetics and sugar-sensitive people.

The invention relates to the field of mine processing and transportation, and discloses an intelligent mine processing and transportation integrated management and control system which comprises a mining module, the mining module is connected with a transportation module, the transportation module comprises transportation equipment and a transportation vehicle, and mines collected by the mining module are transmitted and transported through the transportation equipment and the transportation vehicle. The transportation module is connected with a data acquisition module, and the data acquisition module is used for acquiring and transmitting various information of transportation equipment and transmitting various acquired parameters of the transportation equipment to the central processing module. According to the invention, through fine operation of the equipment management and maintenance module, accurate pre-judgment of the fault probability of the transportation equipment is realized. Comprehensive equipment information and real-time operation parameters are utilized, and a scientific calculation formula is combined, so that the equipment state is accurately evaluated. The customized maintenance scheme can prevent faults in advance, reduce the downtime of equipment, and guarantee the transportation efficiency.