793results about How to "Improve completeness" patented technology

The invention discloses an intelligent software testing method and system based on automatic script generation, and relates to the technical field of software testing, and the method comprises the following steps: deploying a distributed data acquisition probe, dynamically adjusting sampling frequency, collecting software operation data, and extracting data features based on a deep learning model; based on the data features, establishing a behavior pattern classification system, and mapping behavior patterns to realize hierarchical behavior classification; the method comprises the steps of constructing a test scene, generating test data, executing a test task, monitoring a test execution state in real time, calculating a test efficiency index, evaluating and feeding back a test effect, and dynamically adjusting a feature extraction strategy. According to the method, deep learning and reinforcement learning technologies are utilized, accurate recognition and classification of software behavior modes are achieved, and comprehensiveness and effectiveness of testing are guaranteed through multi-dimensional coverage rate analysis and a closed-loop optimization mechanism; and meanwhile, the automation level and the intelligent degree of software testing are remarkably improved, and a powerful guarantee is provided for improving the software quality.

The invention relates to the technical field of traffic safety management, in particular to a vehicle abnormal driving recognition and early warning method and system. The method comprises the following steps: firstly, acquiring vehicle position, speed, direction and driver operation data in real time, then correcting time sequence data by adopting a smooth denoising method of adaptive segmented clustering, generating an information confirmation code through standardization, and then carrying out weighted fusion on multi-source data to obtain a multi-source data fusion model; the strategy decision-making module is used for extracting vehicle speed change rate, lane deviation degree and driver behavior characteristic key indexes, identifying and grading abnormal driving behaviors by setting a threshold value, calculating a comprehensive abnormal score, and generating a grading intervention strategy for slight, medium and serious anomalies according to a comparison result of the abnormal score and the set threshold value. And finally, combining automatic intervention in the vehicle with global coordinated intervention of a road manager. According to the invention, the intervention strategy is generated based on multi-source data acquisition, processing, analysis and decision, so that the vehicle driving safety and the road management efficiency are improved.

The invention belongs to the technical field of perovskite solar cells, and particularly discloses a carbazolyl conjugate enhanced self-assembled monomolecular layer and a preparation method and application thereof, and the self-assembled monomolecular layer takes carbazole as a substrate and an aromatic ring as a conjugate linking group. The highly conjugated molecular system can induce molecular orbital overlap, increase dipole moment, promote formation of a compact self-assembled monomolecular film, reduce interface non-radiative recombination and enhance hole extraction and transmission performance. Meanwhile, phosphoric acid is used as an anchoring group, so that firm self-assembly of SAM molecules on the surface of the ITO substrate can be realized. The SAM material is simple in preparation method, high in yield, low in preparation cost and good in stability. When the compound is applied to a trans-perovskite solar cell as a hole transport layer, photoelectric conversion efficiency exceeding 24.6% can be obtained, and the compound is an organic semiconductor material with a very good prospect.

The invention discloses a geographic scene parameterization three-dimensional modeling method and system driven by a large language model, a storage medium and a program product, belongs to the field of geographic information science, and solves the problems that a geographic 3D scene reconstruction method is time-consuming in the data acquisition and processing process, generated models and scenes lack semantic information and the like. The method comprises the following steps: constructing a progressive three-dimensional scene modeling knowledge graph of a geographic scene; a reasoning context screening mechanism based on spatial autocorrelation and information entropy is constructed based on the geographic entity space and the progressive three-dimensional scene modeling knowledge graph, and a prompt text used for LLMs reasoning is obtained; constructing an implicit association reasoning rule between entities guided by a thinking chain based on a prompt text of LLMs reasoning, and updating a progressive three-dimensional scene modeling knowledge graph; and performing parameterized geographic scene three-dimensional modeling based on a three-dimensional model generation method of a primitive model and modeling object semantics and the updated progressive three-dimensional scene modeling knowledge graph. The method is used for parameterized geographic scene three-dimensional modeling.

The invention relates to a pipeline detection robot defect identification method based on image processing, which comprises the following steps: carrying out continuous image acquisition on the inner wall of a pipeline through image acquisition equipment on a pipeline robot to obtain image data of the inner wall of the pipeline; performing image preprocessing on the pipeline inner wall image data; pipeline defects in the pipeline inner wall image data after image preprocessing are detected, and image segmentation is carried out on a defect area; and carrying out feature extraction on the defect area, carrying out defect classification, and outputting an identification classification result. According to the invention, based on algorithms of image processing, artificial intelligence and machine learning, defects of cracks, corrosion, leakage and the like in the pipeline can be automatically identified, the limitation of manual detection is solved, automatic and intelligent detection is realized, the technical effects are mainly embodied in the aspects of improving the detection precision and efficiency and the ability to adapt to different pipeline environments, and the method is suitable for popularization and application. High application and popularization values are realized.

The invention relates to the technical field of substation control, in particular to a substation control system based on cloud control and a local area network. Comprising a substation data acquisition module, a data analysis module, a cloud cooperative control module, an edge calculation response module and a safety guarantee module. The substation data acquisition module acquires multi-dimensional data through a local area network, and the data analysis module identifies abnormal and fault modes by adopting a dynamic multivariate autoregression tree algorithm. The cloud cooperative control module performs global load scheduling by using a sparse distributed optimization algorithm, and the edge calculation response module realizes rapid local response control based on a Markov random field model. And the safety guarantee module is combined with deep learning and a multi-factor identity authentication technology to ensure data transmission safety. According to the invention, the automatic control level and the overall operation efficiency of the transformer substation are improved, and efficient, stable and safe intelligent power management is realized.

The invention discloses an air conditioner fresh air handling unit energy-saving optimization control method and system based on fuzzy control, and belongs to the technical field of air conditioner system control, and the method specifically comprises the steps that environmental parameters and unit state information are collected in real time through sensors arranged indoors and outdoors, and then the information is subjected to fuzzy processing and converted into fuzzy variables; establishing a fuzzy control rule base by combining actual data according to the characteristics and energy-saving requirements of the air conditioning system; a fuzzy reasoning method is utilized, a fuzzy control quantity is obtained through calculation according to the fuzzy variable and the rule base and then converted into an accurate control value through clearness processing, and the fresh air handling unit is controlled to operate; and the system monitors the environment change and the unit state, and the steps are periodically repeated to form closed-loop feedback control, so that energy-saving optimization is realized.

The invention discloses an intelligent interactive Agent system based on Langchain and an implementation method, and relates to the technical field of natural language processing and artificial intelligence. Comprising the steps of 1, establishing an intelligent interactive Agent system by using an interface and an integrated tool provided by a Langchain framework, 2, managing calling of various tool modules and services through a central scheduling module, and dynamically registering and unbinding the tool modules by using the interface provided by the Langchain framework, and 3, processing user input by using a large language model through a process management module, and establishing an intelligent interactive Agent system. 4, a series of tool modules are integrated through the integrated tool management module, the tool modules comprise a text search tool, a weather query tool and a video information acquisition tool, each tool module works independently or is in linkage with other tool modules, and the tool modules are connected with the integrated tool management module. And 5, managing a user interaction interface through a front-end management module, supporting a user to query and control in a natural language, displaying a processing progress and a processing result in real time, and providing feedback and help information.

The invention discloses a cargo loading information management method and system based on an intelligent shelf, and relates to the technical field of Internet of Things information management, and the method comprises the steps: collecting cargo warehousing information; uWB anchor points are deployed on the intelligent goods shelf, sensor signal features are collected, a support vector machine classification algorithm is used to identify NLoS conditions, and error correction is carried out; determining the distance between the cargo and the anchor point by using a three-dimensional positioning formula to obtain the three-dimensional coordinate of the cargo, and monitoring the safety state of the cargo in real time; historical demand data is collected, the cargo demand at the future moment is simulated and predicted by using Monte Carlo, and a replenishment plan is generated in combination with the Bayesian law to replenish the warehouse cargo inventory; and after the goods are delivered, a business report is generated. According to the invention, accurate HE efficient management of cargo information is realized, the safety, transparency and intelligent degree of the information management system are improved, optimization of warehouse management is realized, and the efficiency and safety of cargo management and the comprehensive efficiency of warehouse management are improved.

The invention relates to the technical field of laser cutting, in particular to intelligent cutting equipment for aluminum alloy pipes, which comprises a machine table, a laser cutting head is arranged on the machine table through a lead screw transmission system, and a chuck for fixing the pipes is arranged on the machine table. The intelligent cutting equipment for the aluminum alloy pipe further comprises an in-pipe buffering mechanism, the in-pipe buffering mechanism comprises a bearing unit arranged in the pipe, a first supporting unit is arranged on the side, facing the chuck, of the bearing unit, a second supporting unit is arranged on the other side of the bearing unit, and a maintaining unit is arranged at the position, corresponding to the bearing unit, of the machine table. Through the high precision and high speed of the laser cutting technology and the ingenious design of the buffer mechanism in the pipe, the problem that slag adheres to the interior of the pipe to form adhering slag is effectively avoided, so that the cutting quality and the product percent of pass are improved, meanwhile, the automation degree and the intelligence degree of the equipment are high, manual intervention is reduced, and the cutting efficiency is remarkably improved.

The invention discloses a synthesis method of vitamin C ethyl ether, and belongs to the technical field of vitamin derivative synthesis. The synthesis method comprises the following steps: adding vitamin C, benzaldehyde and a catalyst into a first organic solvent, carrying out an aldolization reaction, adding an organic alkali after the aldolization reaction is finished, carrying out a neutralization reaction, adding an alkylation reagent, carrying out an alkylation reaction, and removing the first organic solvent after the alkylation reaction is finished, so as to obtain the vitamin C benzaldehyde. The preparation method comprises the following steps: adding a first organic solvent into a first organic solvent, pulping, filtering, collecting filter residues, washing and drying to obtain 5, 6-O-benzyl-3-O-ethyl-L-ascorbic acid, carrying out hydrogenation deprotection on the 5, 6-O-benzyl-3-O-ethyl-L-ascorbic acid, filtering after hydrogenation deprotection, collecting filtrate, crystallizing, collecting precipitate, washing and drying to obtain the 5, 6-O-benzyl-3-O-ethyl-L-ascorbic acid. The vitamin C ethyl ether is obtained. The synthesis method provided by the invention is simple to operate and high in production efficiency, and the obtained vitamin C ethyl ether is high in yield and purity.

The invention relates to the technical field of obstacle detection, in particular to a laser point cloud-based obstacle framing method in a converter station scene, which comprises the following steps of: based on a converter station environment, performing three-dimensional scanning through a laser radar, collecting point cloud data, performing noise filtering on the data, performing spatial alignment of the data, and obtaining processed point cloud data. According to the invention, three-dimensional scanning is carried out through the laser radar, the scanning angle and the resolution are adjusted, the coverage rate and the precision of the point cloud data are optimized, the point cloud data are mapped to the adjacent grid center, the data structure is simplified, the point cloud data are horizontally cut, the linear features of the electric wire are identified, and the obstacle identification process is optimized. Through combination of spatial statistical analysis and clustering analysis, the accuracy and the meticulous degree of obstacle recognition are improved, and the obstacles are framed by constructing a bounding box of each obstacle, so that three-dimensional space positioning and form recognition of the obstacles are realized.

The invention discloses a carbendazim production tail gas absorption treatment system, which comprises an absorption tower and an absorption liquid lifting device, the top end of the absorption tower is provided with a tail gas discharge port, the bottom end of the absorption tower is provided with a liquid discharge port, one side of the absorption tower close to the bottom end is provided with a gas inlet pipe, and one side of the liquid discharge port is provided with a circulation branch; the liquid outlet is connected with the liquid inlet end of the absorption liquid lifting device, the liquid outlet end of the absorption liquid lifting device is connected with a spraying pipe, one end of the spraying pipe extends to the position, close to the top end, in the absorption tower, and a sprayer is fixed to the end of the spraying pipe. An upper screen plate and a lower screen plate are respectively fixed below the sprayers in the absorption tower, and a filler is arranged between the upper screen plate and the lower screen plate. Through the design that tail gas makes contact with the absorption liquid from bottom to top and then makes secondary contact with the absorption liquid through spraying, the gas-liquid contact area is increased by combining the filler between the upper net plate and the lower net plate, the tail gas absorption efficiency is remarkably improved, carbendazim production tail gas can be effectively purified, pollution of harmful gas emission to the environment is reduced, and the environment protection requirement is met.

The invention relates to a distributed temperature and humidity regulation and control method and system based on deep learning, and the method comprises the steps: obtaining temperature and humidity data measured by a wireless sensor, and carrying out the assimilation processing of the temperature and humidity data through a deep learning set smoother, so as to construct a temperature and humidity data set. And calling a parameter estimation and data learning algorithm to analyze the assimilated temperature and humidity data so as to identify and extract environmental characteristics in the temperature and humidity data. And taking the environmental characteristics as input of a temperature and humidity prediction model to output a temperature and humidity change trend of the environmental characteristics in a future first time period, and generating a control vector based on the temperature and humidity change trend. And controlling the operation state of the HVAC equipment according to the temperature and humidity change trend in response to the control vector so as to automatically regulate and control the temperature and humidity of the environment in the current space. The temperature and humidity prediction model is obtained by training a deep learning model based on the real-time temperature and humidity data and the historical temperature and humidity data after assimilation processing.

The invention provides a piezoelectric self-feedback excitation type miniature electric field sensor, an electric field detection method and a sensor, and is applied to the technical field of electric field sensors. The piezoelectric self-feedback excitation type miniature electric field sensor comprises a substrate used for supporting a vibration pickup reference structure, a piezoelectric driving structure, a mutual shielding electric field sensing structure and an elastic beam; the piezoelectric driving structure is used for enabling the piezoelectric driving structure to deform under the condition that driving voltage is applied to the piezoelectric driving structure so as to enable the elastic beam to generate vibration; the mutual shielding electric field induction structure is used for responding to the vibration of the elastic beam, and the mutual shielding electric field induction structure outputs an induction current signal in a differential form so as to suppress common-mode noise and detect the amplitude intensity of a to-be-detected electric field; and the vibration pickup reference structure is used for responding to the vibration of the elastic beam and outputting a reference current signal so as to adjust the magnitude of the driving voltage and enable the output sensitivity of the piezoelectric self-feedback excitation type miniature electric field sensor to be a preset value.

The invention belongs to the field of material preparation and chemical engineering, and particularly relates to an N-doped modified MOFs (Metal-Organic Frameworks) derived core-shell nanoreactor as well as a preparation method and application thereof. The preparation method comprises the following steps: taking cobalt as a node metal, synthesizing an N-doped modified MOFs material with an organic ligand and a nitrogen source through a hydrothermal reaction, then coating the surface of the material with porous silicon dioxide, and preparing the N-doped modified MOFs derived core-shell nanoreactor through a two-step calcination method. The MOFs derived core-shell nanoreactor prepared by the invention has a large specific surface area, a rich pore structure and excellent catalytic activity and stability, and is high in catalytic activity, good in recycling stability and suitable for large-scale popularization and application when being used as a catalyst for alpha, beta-unsaturated aldehyde transfer hydrogenation.

The invention belongs to the field of aircraft control, and discloses a composite guidance aircraft guidance control method and system considering flight time falling angle constraint, and the method comprises the steps: inputting target values of flight time and a terminal falling angle according to a specific task requirement; pre-planning a flight path; in the flight process, estimating the current remaining flight time of reaching the target in real time, and performing feedback adjustment on the flight time error; in a flight approaching target stage, calculating a falling angle error in real time according to the attitude and speed of the aircraft, and correcting the flight attitude; through a nonlinear optimal control algorithm, two constraints of flight time and a falling angle are comprehensively balanced; executing mechanisms such as engine thrust, control surface angle and attitude control spray pipes of the aircraft are adjusted in real time according to a composite guidance algorithm instruction; and when the aircraft is about to arrive at the target, final falling angle correction is performed to ensure that the aircraft hits the target at an accurate angle. According to the method, the balance problem between the flight time constraint and the falling angle constraint is effectively solved, and the guidance precision and the task success rate of the aircraft are remarkably improved.

The invention provides an AlGaN film growth method and an AlGaN film, relates to the technical field of semiconductor material epitaxy, and aims to solve the technical problem of high defect density of an AlGaN film grown based on a silicon carbide substrate in the prior art. The method comprises the following steps: preparing a substrate, and cleaning the substrate; putting the cleaned substrate into high-temperature MOCVD (Metal Organic Chemical Vapor Deposition) equipment, and introducing a metal organic source for appointed time, so that metal atoms are adsorbed on the growth surface of the substrate; carrying out metal atom desorption treatment on the substrate adsorbed with the metal atoms for a specified time to obtain a target substrate; and growing an AlGaN film on the growth surface of the target substrate. According to the method, the step density of the surface of the substrate is reduced through metal atom adsorption and desorption processes, and an oxide layer on the surface is effectively removed, so that the crystal quality and the surface smoothness of the AlGaN film are improved.

The invention relates to a self-adaptive power plant combustor and an adjusting system thereof. A combustion chamber shell of the combustor is internally provided with a combustion cavity and wrapped with an air bin, the air bin is connected with the combustion cavity through an inclined air hole, one end is provided with a smoke exhaust pipeline and a fan, the other end is provided with a sealing cover with an igniter and a gas distribution chamber, and the upper end is provided with a pulverized coal distribution bin and a powder spraying hole. The adjusting system comprises a temperature and pressure sensor, a controller and an executing mechanism. The advantages are obvious, the air holes and the fuel gas holes are specially designed, and related parts of the pulverized coal distribution bin enable fuel to be fully mixed and combusted; the adjusting system accurately regulates and controls combustion parameters; the service life of the equipment is prolonged by a heat-insulating layer, high-temperature-resistant and The smoke purification device reduces pollution; and intelligent management is realized through remote monitoring. And the combustion efficiency and stability are effectively improved, and efficient and clean utilization of power energy is assisted.

The invention discloses high-temperature and high-pressure filtrate reducer sulfonated asphalt for drilling fluid and a preparation method of the high-temperature and high-pressure filtrate reducer sulfonated asphalt, and belongs to the technical field of filtrate reducers. A comb-shaped side chain is introduced into a benzene ring of SEBS, the benzene ring is endowed with a comb-shaped structure, the structure strongly interacts with sulfonated asphalt, asphalt dispersion is optimized, agglomeration is avoided, 5-(2-hydroxyethyl) uracil is introduced, the oleophylic and hydrophilic characteristics are balanced, the acting force between asphalt particles is reduced, the reaction efficiency and uniformity of asphalt and fuming sulfuric acid are improved, and the sulfonated asphalt is prepared. The dispersant promotes uniform dispersion of asphalt, accelerates sulfonation reaction and improves sulfonated asphalt quality. The surface activity of the modified SEBS and the sulfonated asphalt form a net structure, so that the water solubility of the asphalt is enhanced, the drilling fluid is convenient to blend, the liquid surface tension is reduced, and the bubble formation condition is destroyed. A quaternary ammonium salt group is introduced, a well wall is stabilized by utilizing an opposite attraction principle, clay hydrophobicity is promoted, hydration and expansion are inhibited, and collapse is prevented. The modified sulfonated asphalt is resistant to temperature and pressure, good in filtration resistance and stable in filtration control at high temperature and high pressure.

The invention discloses a micro-channel jet reactor. The micro-channel jet reactor comprises a sample introduction unit, a main mixing unit and a reaction unit which are sequentially communicated, the main mixing unit comprises a first inner pipe and a first outer pipe arranged outside the first inner pipe in a sleeving manner; a first annular space is formed between the first inner pipe and the first outer pipe; the sample introduction unit is communicated with the first inner pipe; a second sample inlet is formed in the first annular space, and a plurality of through holes are formed in the first inner pipe; the reaction unit comprises a second inner pipe and a second outer pipe arranged outside the second inner pipe in a sleeving manner; a second annular space is formed between the second inner pipe and the second outer pipe; the first inner pipe is communicated with the second inner pipe; during use, condensate is arranged in the second annular space. The reactor can effectively improve the mixing uniformity degree of reaction liquid, meanwhile, the reaction temperature is controlled, and the reaction rate and selectivity are ensured.

The invention discloses a translation system based on artificial intelligence, intelligent glasses for translation and a translation method. The translation system comprises first intelligent glasses, a first intelligent mobile terminal and a cloud server, and a generative artificial intelligence large language model is configured in the cloud server. The first intelligent glasses pick up a first voice of a first language from a preset direction and send the first voice to the first intelligent mobile terminal. The first intelligent mobile terminal converts the first voice into a first text and sends the first text to the cloud server; and the cloud server translates the first text through the model according to the translation prompt to obtain a second text of a second language and sends the second text to the first intelligent mobile terminal. And the first intelligent mobile terminal converts the second text into a second voice and sends the second voice to the first intelligent glasses for playing. According to the invention, high-precision intelligent translation based on the intelligent glasses is realized, and the product viscosity can be increased.

The invention discloses a method for preparing a battery-grade vanadyl sulfate electrolyte by using a vanadium leachate, which comprises the following steps: S1, carrying out anion resin adsorption-desorption treatment and reduction treatment by using the vanadium leachate with the vanadium ion concentration of 1.0-20g / L as a stock solution and using a sulfurous acid solution or a saturated SO2 solution as a desorption solution to obtain a vanadyl sulfate solution with the vanadium ion concentration of 20-40g / L; the method comprises the following steps: sequentially performing extraction and back extraction on a vanadyl sulfate solution with the vanadium ion concentration of 20-40g / L to obtain a vanadyl sulfate electrolyte with the vanadium ion concentration of 80-160g / L; and S3, adsorbing the vanadyl sulfate electrolyte with the vanadium ion concentration of 80-160g / L by using an adsorbent, and filtering to obtain the battery-grade vanadyl sulfate electrolyte. According to the method, the removal of impurities in the vanadium leachate and the efficient reduction conversion and enrichment purification of vanadium ions can be simultaneously / synchronously realized, and the technical effects of improving the product quality, shortening the process flow, improving the production efficiency and reducing the production cost are achieved.

The invention discloses a flow chemistry intelligent experiment platform which comprises a direct-current constant-voltage power supply, a PC, a main control board, an electric energy metering module, a temperature control module, an electromagnetic valve, a stepping motor, a flow chemistry unit and an image sensor. The PC is provided with a webpage operation end, a control instruction is transmitted to the main control board through the gigabit Ethernet, and the main control board adopts a hardware architecture of FPGA and ARM co-processing and can accurately control devices such as an electromagnetic valve and a stepping motor to carry out experiments according to set reaction conditions; and in the reaction process, images acquired by the sensor and experimental data such as temperature, pressure, pH and the like are synchronously transmitted to the PC through the main control board to be displayed, analyzed and stored. The device provides maximum flexibility for the flowing chemical reaction, realizes integrated control of various reaction conditions such as temperature, pressure, pH and flow velocity, has the advantages of reasonable structure, high degree of freedom, good interactive experience and the like, and is suitable for various scenes such as classroom experiment teaching, student exploration experiment, college laboratory scientific research and the like.

The invention discloses a personalized government affair service recommendation method and system based on artificial intelligence. The method comprises the steps of data collection, data preprocessing, user classification model construction, service recommendation model construction and personalized service recommendation. The invention relates to the technical field of intelligent government affair services, in particular to a personalized government affair service recommendation method and system based on artificial intelligence. A data preprocessing method of data cleaning, data coding, data normalization and data set segmentation is adopted; the clustering model based on the optimization algorithm is adopted for user classification, complex user data can be effectively grouped, and the interpretability and the structuring degree of the data are improved; government affair service recommendation is carried out by adopting an improved transformer model combined with a bidirectional gating circulation unit, so that time sequence characteristics of user information and government affair service data can be effectively extracted, a long-term dependency relationship is captured, and the precision of personalized recommendation is improved.

The invention discloses an intelligent interaction system for recognizing voiceprint information through environmental sound, and relates to the field of man-machine interaction. Comprising an environment sound pickup module which picks up environment sound in a vehicle by using a microphone array and carries out filtering and denoising processing on the sound; the voiceprint feature extraction module is used for converting the sound signal into a spectrogram by using short-time Fourier transform, distinguishing different passengers through different waveform features, and then extracting MDCC features in the sound signal as sound feature vectors; according to the invention, through picking up the environment sound, then extracting the voice data of the passenger, carrying out feature extraction on the voice data again, obtaining the voice content of the passenger, carrying out emotion and intention analysis on the voice content of the passenger, and then carrying out recommendation and related control, the active degree and the automation degree of man-machine interaction are increased, and the experience of the passenger is improved.

The invention discloses a carbon-based confinement type catalyst as well as a preparation method and application thereof. The catalyst comprises a sludge carbon substrate, and carbon nanotubes and active metals covering the surface of the substrate, the active metal comprises Fe and Ni; ni is doped in the carbon nanotube to form a confinement structure; fe is loaded outside the carbon nanotubes. The active metal of the carbon-based confinement type catalyst is confined in a superstructure carbon nanostructure covering the surface of a carbon substrate, so that the hydrothermal oxidation efficiency can be effectively improved, the degree of cracking of sludge extracellular polymeric substances is improved, deep cracking of sludge is realized, and the risk of secondary pollution caused by loss of the active metal is reduced; the catalyst can selectively oxidize macromolecular organic matters released by sludge disintegration, the product selectivity of micromolecular carboxylic acid is improved to be higher than 95% by a confinement structure, the micromolecular carboxylic acid can be further utilized as a carbon source, the treated supernate can be used as a composite carbon source to be applied to the biochemical process of sewage treatment, and resource utilization is realized; the catalyst can realize HTO treatment of sludge at 200 DEG C or below, and does not generate biotoxic by-products in the sludge treatment process, and the treated product can be used as a high-quality carbon source.

The invention discloses power transmission line tree obstacle removing direction control equipment and a control method. A mechanical device grabs a to-be-cut tree and outputs thrust, a sensor obtains tree data and wind speed, a remote controller responds to operation and sends a remote control signal to a controller, and the controller is connected with the remote controller and sends the remote control signal to the controller. And responding to the remote controller to operate and control the mechanical device to grab the tree, receiving tree data and wind speed from the sensor, and controlling the thrust of the mechanical device according to the tree data and the wind speed. According to the invention, the falling direction of the tree is controlled through the power transmission line tree obstacle removing direction control equipment, and the falling direction of the tree does not need to be controlled by an inspector through climbing the tree and binding a rope, and the inspector can grasp the tree through a remote controller after a safety distance control mechanical device grabs the tree; the controller controls the mechanical device to output thrust through the tree data and the wind speed to push the tree to a specified direction to fall down, so that the efficiency of polling and felling the tree on the electric power line can be improved, the falling direction of the tree can be ensured, and the safety of the electric power line and polling personnel is ensured.

The utility model relates to a die-casting die, which belongs to the field of die-casting dies and comprises a movable die component and a static die. Die-casting cavities are respectively formed in the opposite surfaces of the static die and the movable die assembly; an injection nozzle communicated with the die-casting cavity is arranged on the static die; a U-shaped cooling water cavity is formed in the injection nozzle; the movable mold assembly comprises a movable mold base, a push plate, a push rod fixing plate, a cylindrical push rod, a reset push rod, a demolding push rod and a movable mold body; the die-casting cavity is formed in the movable die body; the push rod fixing plate, the push plate and the movable mold base are sequentially arranged on the movable mold body from inside to outside; according to the injection nozzle structure disclosed by the utility model, the structures of the movable mold assembly and the static mold are combined, so that the technical problems that the injection nozzle is easy to strain and pock marks occur are effectively solved, the service life of the injection nozzle is prolonged, the bonding between a die casting and the static mold is reduced, the demolding efficiency is improved, and the integrity of the casting is ensured.

The invention discloses a preparation method of long-acting heat-storage warm-keeping antibacterial lyocell fibers, and belongs to the technical field of regenerated cellulose fibers. The preparation method of the lyocell fiber comprises the following steps: step SS1: stirring, mixing and dissolving cellulose pulp, an NMMO organic solvent, zirconium carbide micro powder and nano biochar according to a certain mass ratio at a certain temperature, and then defoaming and filtering to obtain a homogeneous phase mixed spinning solution with the fiber forming solid content concentration of 8%; and step SS2, spraying the obtained mixed spinning solution in air through a spray head, immersing the mixed spinning solution in a low-concentration NMMO aqueous solution for solidification forming, and then drafting, washing, cutting, washing, oiling and drying to obtain the finished fiber. The temperature rise speed of the heat-storage warm-keeping cellulose fiber fabric is far higher than that of a conventional lyocell fiber fabric, the temperature difference can reach 13.5 DEG C when a light source irradiates for 10 min, it is indicated that light energy can be effectively converted into heat energy in the presence of zirconium carbide in fibers, and the good warm-keeping effect is achieved.