162results about How to "Fine granularity" patented technology

The invention provides an intelligent guard system for large-scale micro-nano processing laboratory equipment, and the system comprises a data collection module, a risk early warning module, a fault positioning module and an operation and maintenance management module, the fault is traced by using the collected real-time environment data, real-time state data, experimental data, real-time behavior data and identity information, so that the details of the fault can be known in time, and fault maintenance, responsibility investigation and the like can be carried out; the operation and maintenance management module can carry out multi-dimensional operation and maintenance management on the laboratory according to the collected real-time environment data, real-time state data, experimental data, real-time behavior data and identity information, so that the efficiency, the performance and the service life of equipment are improved, the maintenance cost of the equipment is reduced, and effective utilization of social resources is facilitated.

The invention relates to the technical field of multi-agent systems, and discloses a multi-agent and multi-mode alignment interaction method and system for a review scene, and the method comprises the steps: mapping real-time multi-mode data into a local belief vector through a heterogeneous agent cluster, and calculating the spatial divergence to determine a global cognitive entropy; interaction time sequence gating logic based on entropy flow differential is established, and active alignment is triggered when the global cognitive entropy is larger than a convergence threshold value and a first-order derivative is smaller than a damping threshold value; according to the method, through entropy flow differential control and an active semantic disturbance closed loop, decision oscillation of the multi-agent system in the non-cooperative environment is eliminated, and the reliability of the multi-agent system in the non-cooperative environment is improved. Mathematical convergence of the belief state in an adversarial disguise scene is realized, and the system identification precision in a complex interactive game is improved.

The invention belongs to the technical field of unmanned aerial vehicle inspection, and particularly relates to an unmanned aerial vehicle insulator inspection system and method based on multi-light fusion. Comprising an unmanned aerial vehicle platform and a ground control station. The unmanned aerial vehicle platform is used for carrying inspection equipment and inspecting the insulator according to a preset path; comprising an unmanned aerial vehicle body, a multi-light fusion sensor module, a data processing module, a control module and a communication module, the multi-light fusion sensor module integrates a visible light sensor, an infrared sensor and an ultraviolet sensor and is used for acquiring visible light image information, infrared thermal image information and ultraviolet image information of the insulator, potential faults can be found in the early stage through the three-light fusion technology, and important data support is provided for preventive maintenance; through integration of data of different wavelengths, insulator fault diagnosis under the three-light fusion technology reduces the possibility of misjudgment of insulator faults, and high detection reliability and high efficiency can be maintained under various environmental conditions.

The embodiment of the invention provides a big language model enhancement method, device and equipment based on Internet search, and the method comprises the steps: responding to a search request of a user, and obtaining retrieval result data; constructing a first block tree based on the retrieval result data, and performing first pruning operation on the first block tree based on an embedded model to obtain first retrieval refined data; and constructing a second block tree based on the first retrieval refined data, and performing a second pruning operation on the second block tree based on the path generation model to obtain second retrieval refined data, the second retrieval refined data being used for inputting the large language model to generate an answer conforming to the search request. In the embodiment of the invention, the refining speed of the embedded model is relatively high, the refining granularity of the path generation model is finer, and the retrieval result data is refined by combining the embedded model and the path generation model, so that the retrieval refined data with relatively high quality can be obtained, and the answer quality of the large language model is further improved.

The invention belongs to the technical field of optical communication, and particularly relates to a low-complexity digital pre-equalizer based on frequency domain comb pilot channel estimation. The device comprises a data sending module, a channel response test module and a digital signal pre-equalization module, the data sending module comprises an initial comb signal generation part and a frequency component phase rotation part; the channel response test module comprises a signal frequency difference estimation and recovery part and a channel amplitude-frequency and phase-frequency response test part; the digital signal pre-equalization module comprises a filtering coefficient generation part and a sending signal convolution pre-equalization part; according to the invention, a frequency domain comb pilot signal is sent to analyze channel amplitude-frequency and phase-frequency response, so that a pre-equalizer for pre-compensating channel response at a sending end is generated; the method has the characteristics of high granularity, high precision, robust transmission signal system and the like, and can be applied to various scenes such as polarization multiplexing long-distance single-carrier coherent optical transmission, mode multiplexing short-distance intensity modulation direct detection systems and the like.

The invention relates to a synchronous grouting material based on muddy silt shield muck and a preparation method thereof, and the synchronous grouting material comprises the following raw materials in parts by weight: 13 to 16 parts of cement, 16 to 20 parts of slag, 142 to 147 parts of fine sand containing silt powder, 0.03 to 0.1 part of trimethylsilyl ethyl acetate, 0.07 to 0.17 part of disodium hydroxyethylphosphonate, 0.03 to 0.1 part of pentasodium amino trimethylene phosphonate and 63 to 67 parts of water. According to the invention, the fine sand containing mud powder is used as a main raw material to replace bentonite and fine sand in synchronous grouting in the prior art, and is combined with a specific cement additive, so that the compressive strength and the impermeability of the synchronous grouting material are effectively improved through the synergistic effect of the components, local materials can be used, and the outward transportation and disposal cost of a large amount of muck can be greatly reduced.

The invention relates to an issued electric quantity prediction method based on electric quantity big data, and the method comprises the following steps: S1, obtaining and collecting the power utilization property and network structure data of a load supplied by a transformer area, and carrying out the analysis and control, and improving the quality of line loss basic data in the same period; s2, constructing an electricity sale quantity prediction model, and predicting future electricity sale quantity; s3, establishing a feedback loop, continuously self-calibrating the electricity sale quantity prediction model by using an error correction method, and carrying out future electricity sale quantity prediction correction by incorporating an event, updating and error correction means; s4, according to the corrected future electricity sale quantity, predicting line transformer loss electricity quantity based on a line transformer loss electricity quantity prediction model, and calculating issued electricity quantity based on the predicted line transformer loss electricity quantity and the future electricity sale quantity; and S5, displaying the historical electricity sale quantity, the historical power supply quantity, the predicted future electricity sale quantity and the predicted issued electricity quantity in a chart form. According to the method, complex time dependency and nonlinear fluctuation can be captured, and the accuracy and fine granularity of issued electric quantity prediction are improved.

The invention belongs to the technical field of disaster data storage, and discloses an urban flood disaster information model construction method and application, and the method comprises the steps: constructing an urban flood disaster information model through employing urban flood disaster data; wherein entities and relationships in the urban flood disaster information model correspond to entities and relationships in the urban flood disaster data; entities in the urban flood disaster data comprise basic entities and attribute entities, and the attribute entities are attribute features of the basic entities; the relationship in the urban flood disaster data comprises a spatial relationship and a semantic relationship between the basic entities. The invention further correspondingly provides related application based on the urban flood disaster information model. According to the method, urban flood disaster information modeling is constructed, and multi-source heterogeneous data is fused in combination with time sequence data and a spatial relationship, so that the comprehensiveness of urban flood disaster knowledge expression can be improved, and multi-element integration and analysis management of urban flood disaster data can be realized.

The invention discloses a beneficiation method of refractory iron ore with symbiotic hematite, limonite and siderite, which comprises the following steps of: crushing weakly magnetic refractory iron ore to below 100mm in a closed circuit, then sequentially carrying out three times of dry screening to obtain four particle fractions of 0-6mm, 6-15mm, 15-40mm and 40-100mm, pre-selecting the particle fractions of 6-15mm by adopting a dry high-intensity magnetic separator, pre-selecting the particle fractions of 15-40mm by adopting a chunk jigger, pre-selecting the particle fractions of 40-100mm by adopting a photoelectric intelligent separator, and pre-selecting the particle fractions of 40-100mm by adopting a high-intensity magnetic separator; photoelectric intelligent pre-selected concentrate is crushed to 0-40 mm through a fine crushing closed circuit, then jigging pre-selected concentrate is combined, then the photoelectric intelligent pre-selected concentrate is crushed to 0-6 mm through an ultra-fine crushing closed circuit, an ultra-fine crushing product is combined with the 0-6 mm fraction, then wet type strong magnetic pre-selection is conducted through a coarse grain wet type strong magnetic separator, the pre-selected concentrate is subjected to ore grinding-fine grain wet type strong magnetic one-coarse one-scavenging one-coarse one-scavenging one-fine one-scavenging reverse flotation, and the final concentrate is obtained. And final concentrate is obtained. The invention has the advantages of large raw ore selection granularity, large tailing discarding amount, low energy consumption, good separation effect and the like.

Relates to the technical field of airborne situation awareness of large-scale airport scene operation, in particular to an airport scene airborne situation enhancement method based on multi-modal information fusion, which comprises the following steps: acquiring an air traffic control instruction text and a sliding track image of an aircraft, and respectively performing feature extraction on the air traffic control instruction text and the sliding track image to obtain a feature extraction result; obtaining text features and visual features; performing multi-modal feature fusion on the text features and the visual features based on an adaptive Transform network to obtain multi-modal features; performing intention recognition and key parameter analysis on the multi-modal features to obtain aircraft behavior intention and aircraft key parameters; taking the behavior intention of the aircraft and the key parameters of the aircraft as airborne situation auxiliary information, and providing assistance for subsequent flight decision making; according to the invention, the understanding capability of the air traffic control instruction can be improved.

The invention discloses an enterprise knowledge graph inference completion method and inference completion system, and the method comprises the steps: obtaining a to-be-completed knowledge graph of a target enterprise, inputting the to-be-completed knowledge graph into a trained knowledge graph embedding model, and predicting an incomplete triple to achieve the inference completion of the knowledge graph; wherein the knowledge graph embedding model comprises an entity node coding module, a multilayer graph convolutional neural network module, a Softmax pooling layer and a gating neural network based on a self-attention mechanism. According to the method, the knowledge graph embedding model can provide more accurate semantic information for feature interaction, multi-level feature interaction and aggregation of the triple on sub-tensor kernel granularity and global granularity can be realized, and hidden semantics behind entities and relationships of the knowledge graph can be more efficiently mined. Therefore, the knowledge graph completion accuracy, the semantic modeling capability, the interpretability and the like are obviously improved.

The invention provides a platinum-carbon catalyst as well as a preparation method and application thereof, and relates to the technical field of catalysts. The platinum-carbon catalyst is prepared from the following raw materials: a carbon carrier, a platinum precursor and ethylene glycol, wherein the ethylene glycol is simultaneously used as a solvent and a reducing agent. The preparation method comprises the following steps: carrying out heat treatment on the carbon carrier; taking a platinum precursor, ethylene glycol and the carbon carrier subjected to heat treatment, mixing, stirring and performing ultrasonic treatment to obtain a mixed material; adjusting the pH value of the mixed material, and then raising the temperature for reaction; and filtering, washing and drying the reactant in sequence to obtain the product catalyst. A reducing agent and a protective agent do not need to be additionally added in the preparation process, so that the production cost is reduced; meanwhile, the technological process is optimized, operation is easy, waste and loss caused by slurry transfer are avoided, and the product catalyst is good in particle uniformity, uniform in dispersion, excellent in performance and capable of being applied to preparation and assembly of fuel cell products.

The invention provides a synthesis method of a chloride-free cationic rosin size emulsifier, which comprises the following steps: adding water to dilute dimethyl diallyl ammonium chloride, acrylamide and methacryloyloxyethyl trimethyl ammonium chloride according to a certain proportion to prepare a monomer mixed solution; the monomer mixed solution and the initiator solution are simultaneously pumped into a first microchannel reactor for polymerization reaction, the reaction temperature is 60-100 DEG C, the pressure is 0.2-1.4 Mpa, the retention time is 0.5-3 min, and a cationic polymer is obtained; and simultaneously pumping the cationic polymer and glyoxal into the second microchannel reactor for continuous reaction at the reaction temperature of 10-20 DEG C under the pressure of 2-4.0 Mpa for 0.5-3 minutes. The reaction time is greatly shortened by adopting the microchannel reactor, the method is suitable for industrial production, the synthesized chloride-free cationic rosin size emulsifier is safe, non-toxic, easy to dissolve in water, strong in cohesion, good in hydrolytic stability and free of gelling in 80 days, and rosin emulsion prepared by utilizing the cationic emulsifier is fine in granularity, good in stability and free of chloropropanol.

The invention relates to the field of interdisciplinary, in particular to a subject interdisciplinary measurement method based on keywords. The measurement method mainly carries out analysis from three dimensions: semantic analysis: processing a corpus in two modes to obtain a matrix and a vector sequence, and carrying out cosine calculation on the matrix and the vector sequence to obtain an index reflecting the similarity of subject knowledge; the hierarchical structure analysis is to analyze and determine subject keyword contribution degree and quantify knowledge distance based on a hierarchical structure, and calculate the subject keyword contribution degree and the knowledge distance to obtain an interdisciplinary measurement index; the network structure analysis comprises the following steps: researching a keyword network to obtain an influence index of a node in the network, applying the index to multiple subjects, and calculating to obtain an interdisciplinary intensity measurement index based on a network structure; and finally, carrying out multi-index synthesis on the three dimensions through an entropy weighting method so as to carry out evaluation on the interdisciplinary interaction strength. According to the method, the problems of insufficient fine granularity and insufficiency in current subject cross detection are solved.

The invention relates to the technical field of sintering, and discloses an in-furnace high-permeability efficient sintering process which comprises the following steps: step 1, selecting raw ore; step 2, proportioning raw ore; 3, high-quality lime application; step 4, steam preheating; step 5, sintering process control; and 6, sintering is completed. In the first step, the proportion of small-particle-size raw ore in the proportion is increased to 20%, the compactness and uniformity of a sintered block are improved, combination is easier during sintering, and therefore the strength and stability of a final product are improved, in the second step, the average particle size is controlled to be 5 mm, the particle size smaller than 1 mm is smaller than 5%, and the particle size larger than 3 mm is larger than 65%. The method ensures good fluidity and effective reaction of the material in the sintering process, the moisture content is controlled to 6.8-8%, pulverization is reduced, the strength and stability of the sintered ore are improved, and the beneficial effects of improving the drum strength and metallurgical performance of the sintered ore and ensuring long-period stable and smooth operation of the blast furnace condition are achieved.

The invention belongs to the technical field of sealants, and particularly relates to a dealcoholized organosilicon sealant as well as a preparation method and application thereof. The organic silicon sealant is prepared from alpha, omega dihydroxy polydimethylsiloxane, a flame retardant, a cross-linking agent, a coupling agent and a catalyst, the flame retardant comprises aluminum hydroxide, aluminum hypophosphite and silica powder; the coupling agent is prepared from gamma-aminopropyl triethoxy silane, gamma-(2, 3-epoxypropoxy) propyl trimethoxy silane and bis-(gamma-trimethoxy silylpropyl) amine; the cross-linking agent is prepared from methyl trimethoxy silane, methyl vinyl dimethoxy silane and methyl triethoxy silane; the catalyst comprises ethyl acetoacetate and diisobutyl titanate. The flame retardant, the coupling agent and the cross-linking agent are compounded by adopting specific substances, meanwhile, specific types of catalysts are adopted, and all the components have a synergistic effect, so that the organic silicon sealant has good flame retardant property, mechanical property and adhesive property at the same time and is not prone to yellowing.

The invention relates to the field of constructional engineering materials, in particular to a preparation method of multi-active-center synergistic flow-state solidified soil, which ensures the uniformity and stability of materials by accurately controlling the particle size of construction waste and the proportion of high-temperature treated sludge. The construction waste is mixed with the high-temperature sterilized sludge, so that the fluidity and self-compaction of the solidified soil are improved, the construction period is shortened, the cost is reduced, and the environmental pollution is reduced. The FAU / carbon composite material enhances the early strength and bearing capacity of the solidified soil, shortens the solidification time and enhances the impermeability. The montmorillonite soil improves the workability and environmental adaptability of the solidified soil, absorbs excessive moisture, reduces shrinkage and cracking, and improves the freeze-thaw resistance. Through the synergistic effect of the two components, stress transmission and dispersion are promoted, effective transmission of heat is improved, the mechanical property and the heat-conducting property of the fluid-state solidified soil are enhanced, the engineering efficiency and the environmental adaptability are improved, and an economical and practical solution is provided for the engineering environment.

The invention discloses a method for mechanical activation and oxygen pressure alkaline leaching of semi-oxidized tungsten-molybdenum ore, which relates to the technical field of hydrometallurgy and comprises the following steps: (1) crushing, beneficiating and finely grinding the semi-oxidized tungsten-molybdenum ore to increase the specific surface area of the semi-oxidized tungsten-molybdenum ore; (2) lime and distilled water are added to adjust the concentration of ore pulp, the fine tungsten-molybdenum ore powder is pretreated, and meanwhile heating and preheating are conducted; and (3) vacuumizing the reaction kettle, introducing oxygen, and adjusting the oxygen pressure and the reaction temperature for leaching. According to the method, microcracks can be generated in the ore through mechanical activation, oxygen pressure leaching is accelerated, meanwhile, under the alkaline conditions of heating and pressurizing, tungsten-molybdenum-calcium ore and scheelite in the ore powder are transferred into a leaching solution, and the tungsten-molybdenum leaching rate is increased. Experimental results show that the tungsten and molybdenum leaching rate of the refractory semi-oxidized tungsten and molybdenum ore can be effectively improved by optimizing the grinding granularity, the oxygen pressure, the reaction temperature, the ore pulp concentration and the reagent adding amount at the same time, and efficient leaching of tungsten and molybdenum in the semi-oxidized tungsten and molybdenum ore is achieved.

The barium sulfate drying device comprises a closed cylindrical shell, a drying cavity and a dispersing cavity are sequentially formed in the shell from top to bottom, a receiving groove is formed in the position, corresponding to a feeding port, in the drying cavity, a conical material distributing head is arranged in the middle of the interior of the receiving groove, and a plurality of first spray heads are embedded in the bottom of the material distributing head; the first spray head is connected to an air heater located outside the shell through an air supply pipe; the bottom of the drying cavity shrinks and is connected with the dispersing cavity, and a spiral dispersing channel is arranged in the dispersing cavity. According to the invention, drying and dispersion of materials can be completed through one device, the process flow is reduced, the device is simplified, and the cost can be reduced while the production efficiency is improved. Wet materials are driven by high-pressure hot air to rotate and move upwards along the receiving groove, the wet materials are dried by the hot air and are rubbed with the inner wall of the receiving groove at the same time, finally, small-particle powder is formed and leaves the receiving groove, the granularity and dryness uniformity of a barium sulfate finished product are improved, and the quality of the barium sulfate finished product is correspondingly improved.

The invention relates to a train active protection method and device based on a backup positioning system and a medium, and the method comprises the steps: S1, when only the backup positioning system is available after a train is degraded, a trackside train controller obtains positioning information from the backup positioning system, and screens out a trackside beacon ID related to the possible position of the train according to the positioning information; s2, after the train moves, the backup positioning system sends the read trackside beacon IDs to a trackside train controller, the trackside train controller compares the received trackside beacon IDs with the trackside beacon IDs screened out in the step S1, if the received trackside beacon IDs are not in the screened-out trackside beacon IDs, it is judged that the train has unexpected crossing, and if the received trackside beacon IDs are not in the screened-out trackside beacon IDs, it is judged that the train has unexpected crossing. If not, continuing to execute the step S2; and S3, the trackside train controller triggers active protection of unexpected crossing. Compared with the prior art, the method has the advantages that the detected granularity is improved, and the like.

The invention discloses a negative pole piece, a battery and electric equipment, the negative pole piece comprises a current collector, the thickness direction of the current collector is a first direction; the negative active material layer is arranged on at least one surface of the current collector; the negative electrode active material layer comprises a first active coating and a second active coating which are alternately arranged in a second direction perpendicular to the first direction, and the first active coating and the second active coating meet the following conditions: Ds2 / Ds1 < = 0.5 and D502 / D501 > = 1.3, so that the material structure is not damaged while the risk of a disruption phenomenon can be reduced.

The invention relates to the technical field of agricultural cultivation, in particular to a fine grain tailing-based rice seedling substrate and a preparation method thereof. The fine grain tailing-based rice seedling raising substrate comprises the following components: fine grain tailings, fresh animal waste powder, a modifier A and diatomite. The fine grain tailing rice seedling raising substrate has excellent water and fertilizer retention performance, can effectively improve the soil structure and physicochemical properties, improves the air permeability and water retention of the substrate, promotes plant growth, and reduces dependence on soil resources and influences on the environment. The fine grain tailing-based rice seedling substrate prepared by the invention is wide in material source and simple in preparation process, has the advantages of promoting healthy and strong growth of seedlings, enabling seedlings to emerge neatly, being developed in root system, multiple and long in root system, strong in root system coiling force, high in seedling rate, high in comprehensive quality of the seedlings and the like, and has a relatively wide application prospect.

The application discloses a kind of emotion evaluation and intervention method and system based on multi-modal data.Through terminal synchronous acquisition voice, face, screen tremor and so on multi-modal data;Reaction mode vector is generated based on context information and data verification fusion;The composite emotional state of user is determined using emotional emergence model.At the same time, personalized emotional causal diagram is constructed and updated, and the enhanced state vector is generated by extracting key causal path features.The vector is input into the intervention agent to output intervention actions;After execution, the emotional state is evaluated again and the reward is calculated, and the system model is updated online.The application realizes accurate emotion evaluation and closed-loop adaptive intervention that strikes the root.

The utility model discloses a vanadium removal device for a sodium aluminate solution, which belongs to the technical field of vanadium removal, and comprises a dissolving tank, a solution pump, a settling tank and a stirring component, the stirring component is arranged in the dissolving tank, the top of the dissolving tank is respectively connected with a feeding pipe for supplying the sodium aluminate solution and a feeding pipe for feeding dry vanadium, a bottom outlet of the dissolving tank is connected with a settling tank through a conveying pipe, and a solution pump is mounted on the conveying pipe. The device has the beneficial effects that a sodium aluminate solution to be treated is fed into the dissolving tank and can be stirred by the stirring assembly after being added with dry vanadium, and then the fully stirred solution can be fed into the settling tank under the action of the solution pump to crystallize and settle the vanadium, so that the vanadium is removed, and meanwhile, the quality of the sodium aluminate solution is improved. Dry vanadium can be added into the dissolving tank for dissolving and mixing, so that the particle size and quality of vanadium ions in the solution are improved, vanadium crystals can be better separated out by the settling tank, and the vanadium removal effect of the device on the sodium aluminate solution is further improved.

The invention provides a data auditing method and device and electronic equipment. The data auditing method comprises the steps of obtaining to-be-audited data and a first auditing demand; determining a second auditing demand according to the to-be-audited data and the first auditing demand, wherein the second auditing demand is used for representing an auditing demand associated with the to-be-audited data; determining a corresponding auditing instruction according to the second auditing demand; and processing the to-be-audited data based on the audit instruction to obtain a corresponding audit result. The invention relates to the technical field of data analysis, and can improve the accuracy of data auditing.

The application belongs to the technical field of expressway, and particularly relates to an expressway traffic congestion prediction method and system based on deep learning. The method comprises the following steps: acquiring traffic flow characteristic information, identifying a traffic bottleneck node based on the traffic flow characteristic information, summarizing reference characteristic values of the traffic bottleneck node to form an overall traffic flow characteristic data set, performing discrete degree analysis on the data set to obtain a characteristic index, extracting a traffic congestion concentrated interval according to the characteristic index, identifying a risk time point in the interval, and outputting a predicted expressway congestion period and a corresponding congestion area according to the risk time point and the traffic congestion concentrated interval. The application can improve the accuracy of congestion root identification by identifying a traffic bottleneck node and quantitatively analyzing the evolution trend of the bottleneck state, and can output a region to be regulated and a regulation period, thereby providing decision support for traffic relief.

The invention relates to the technical field of bentonite materials, and discloses application and a preparation method of diversified agricultural bentonite, and the preparation method comprises the following steps: 1) sodium bentonite; 2) preparing primary bentonite; 3) activating bentonite powder; 4) a mixture; 5) preparing turbid liquid; and 6) dissolving chitosan in an acetic acid solution with the volume percent concentration of 4-6%, fully dissolving the chitosan, adding the turbid liquid into the acetic acid solution, carrying out ultrasonic treatment for 60-90 minutes, carrying out constant-temperature reaction for 1-2 hours, and drying to obtain the diversified agricultural bentonite. The diverse agricultural bentonite prepared by the invention is applicable to a plurality of fields of agriculture, and can be applied to soil conditioners, fertilizer conditioners, fertilizer carriers, fertilizer granulation and microbial agents.

This invention discloses a method and system for diagnosing and assessing teacher competence based on multimodal data fusion, applied in the field of data analysis. The method includes acquiring teaching video data of the target teacher and its corresponding lesson plan text data; then adaptively segmenting the lesson plan text into multiple text blocks, with the segmentation boundaries determined based on semantic density distribution; fusing corresponding sentiment enhancement vectors into each text block and extracting audio track prosodic features from the teaching video; establishing a precise correspondence between each text block and audio track segment using spatiotemporal alignment technology, and then calculating the first and second matching degrees; adjusting the contribution weight of semantic density to each matching degree to generate the final diagnostic assessment result of teacher teaching competence. The teacher competence diagnostic assessment method based on multimodal data fusion provided by this invention effectively improves the objectivity, granularity, and educational guidance value of teacher teaching competence assessment.

This invention relates to the field of chip inspection technology, and more particularly to a chip non-destructive testing system based on embedded current scanning. The system includes a current scanning module, an information acquisition module, a data analysis module, an abnormal scanning region generation module, and a scanning path generation module. Instead of simply performing a higher-density secondary scan of the entire chip, this invention intelligently filters out abnormal scanning regions requiring special attention based on the initial scan results and calculates their scanning priority. This allows valuable inspection time and computing resources to be concentrated on the most suspicious and severe areas, avoiding unnecessary repeated scanning in normal areas. The system dynamically selects the optimal scanning path based on the regularity of the region shape; for example, parallel lines are used for regular regions, and radial lines are used for irregular regions. This makes the scanning path more closely match the geometric features of the defect, obtaining a more complete region characterization with fewer scanning points, resulting in higher path planning efficiency.

The present application belongs to the technical field of sintering mixed material batching, and relates to a method for reducing particle size segregation of mixed material in a multi-stage flat laying manner. According to the required batching ratio, each kind of material is divided into 3-4 stages according to particle size, the first stage is for the material with the largest particle size and the most segregation, the second stage is for the dust removal ash with fine particle size and large dust, and the third and fourth stages are for the material with uniform particle size. Before taking the material, the head and tail cutting operation is implemented, and the mixed material in this area is returned to the top of the new pile. The present application adopts the segmented flat laying manner, solves the particle size segregation, adds the dust removal ash in the second stage, and solves the problem of dust diffusion. Each bin can be used alternately, solving the problem of the number of bins. At the same time, small materials can be added in a certain stage, realizing the recycling of iron-containing resources.