33results about How to "Solve technical bottlenecks" patented technology

The invention discloses a high-resilience eTPU foaming material and a preparation process thereof, and belongs to the technical field of foaming materials. The process comprises the steps of raw material premixing and TPU chain extension reaction, precursor system injection, in-situ phase change energy storage core-shell particle generation, supercritical two-fluid foaming and molding post-treatment. Wherein the SiO2-coated TiO2 core-shell particles are prepared by a non-hydrolytic sol-gel method, the porous SiO2 core adsorbs and fixes the micro-crosslinked polyurethane-based phase change material, the TiO2 shell provides sealing and supporting, the particles are combined with the TPU matrix through covalent bonds, and the micro-crosslinked polyurethane-based phase change material has a unique micro-crosslinked network structure, so that the thermal conductivity of the TPU matrix is improved, and the thermal conductivity of the TPU matrix is improved. The hidden danger of leakage of the phase change material in the using process can be effectively eliminated, and meanwhile the interface bonding effect between the inorganic particles and the TPU matrix is synchronously enhanced. The eTPU foaming material prepared by the invention has the characteristics of high resilience, strong interface bonding, excellent energy storage stability and low compression set, and is suitable for shoe materials, automotive interiors and other scenes.

This invention discloses methanogenic lyases with the same protein family annotation as PeiR lyases and their applications. These enzymes are obtained through homology screening based on the known characteristics of PeiR lyases targeting peptide bonds in the methanogenic cell wall, using the Pfam protein family database annotation. PeiR lyase proteins participate in the biological process of hydrolyzing archaea cell walls, effectively killing methanogens and reducing methane production. Proteins homologous to this protein have potential methane-reducing potential. This invention integrates rumen microbial metagenomic sequencing data, uses a series of bioinformatics software to screen methanogenic viral proteins, and combines Pfam functional domain annotation for homology analysis, ultimately identifying a series of lyases. These lyases were successfully expressed in a prokaryotic expression system, and in vitro gas production experiments also showed that the crude enzyme solution significantly reduced methane production.

This invention relates to the field of reservoir development technology and is a co-injection and production tool for CCUS production wells. It includes a tubing string and a cable packer connected sequentially from top to bottom. The cable packer includes an upper connector, a connecting sleeve, an inner central tube, an anchoring assembly, and a lower connector. This invention has a reasonable and compact structure. The cable packer of this application has gas flow channels and liquid flow channels, enabling physical separation and directional flow of gas-liquid two-phase flows under high pressure, thereby achieving co-injection and production and realizing true "in-well circulation": through "downhole separation and co-injection," the separation, reinjection, and storage of carbon dioxide are compressed into a single well, greatly simplifying surface facilities, reducing investment and operating costs, and significantly improving carbon storage efficiency and speed. Through independent gas flow channels and liquid flow channels, efficient separation of gas-liquid two-phase flows can be achieved under high pressure, solving the technical bottleneck of co-injection and production.

The application discloses a continuous heating furnace air-fuel ratio control method and device based on effective burner quantity, which is applied to a heating area without air switch valves of burners, takes a single burner as a calculation unit, and is dynamically adjusted according to the number of ignited burners. The maximum flow of a single burner is calculated; the current actual flow of a single burner is calculated according to the total pipe flow and the number of ignited burners; the total heat load is limited in combination with the number of ignited burners, the heat load of each burner is compensated and corrected according to the proportional relationship between the actual number of ignited burners and the total number of burners; the flow set value of a single burner is calculated through double cross limiting control and minimum flow limitation is applied; finally, the total pipe flow set value is synthesized according to the number of ignited burners and control is output. The application effectively solves the problems of excessive air consumption and air-fuel ratio disorder caused by the failure of part of the burners, significantly improves the combustion safety, control accuracy and energy utilization efficiency of the heating furnace in the continuous proportional mode without adding hardware.

The invention discloses a hydrogen and CO2 coupled blast furnace ironmaking method, and belongs to the technical field of ferrous metallurgy equipment and processes. The method comprises the following steps: carrying out component separation treatment on the blast furnace top gas, and respectively capturing CO2 gas and unreacted CO gas in the blast furnace top gas; a reverse water-gas shift reactor is arranged outside the blast furnace, and captured CO2 and external hydrogen are converted into CO-rich reducing gas; and mixing and tempering the generated CO-rich reducing gas and the separated CO gas, and cooperatively spraying into the blast furnace from a tuyere and / or a furnace body part of the blast furnace to participate in iron ore reduction reaction. According to the invention, the hydrogen-carbon conversion process with strong heat absorption is independently carried out outside the furnace, so that the combustion loss of coke is obviously inhibited from dynamic and chemical equilibrium, and double closed-loop circulation of carbon in the smelting system is realized. A multi-dimensional space differential injection mechanism is constructed, the comprehensive utilization rate of hydrogen is remarkably increased, and meanwhile the fuel ratio and the carbon dioxide emission of the blast furnace are reduced.

This invention discloses a nuclear power generation and hydrogen production integrated utilization system, relating to the field of nuclear power hydrogen production technology. The key technical point is that by simultaneously distributing the high-temperature thermal energy of a molten salt reactor to a supercritical carbon dioxide Brayton cycle power generation system and a three-step vanadium-chlorine thermochemical cycle hydrogen production system, a new parallel-coupled, cascaded energy conversion architecture is constructed. This fundamentally overcomes the drawback of mismatch between heat grade and energy demand in traditional series-type nuclear power integrated utilization schemes. This design not only enables efficient power generation from high-temperature thermal energy and gentle hydrogen production from mid-temperature thermal energy, but also achieves deep recovery of waste heat through an internal heat exchange network, significantly improving the overall energy utilization efficiency of the system. The invention demonstrates significant technological progress in improving energy utilization efficiency, reducing production costs, and decreasing carbon emissions, providing a practical technical path for the multi-product integrated utilization of nuclear energy and large-scale green hydrogen production.

This invention discloses an amphiphilic heavy oil viscosity-reducing catalyst based on defect-regulated MOFs, its preparation method, and its application. The amphiphilic MOF-based catalyst is composed of MOF-NH4+ with oxygen vacancy defects. 2 The substrate and the grafted MOF-NH through chemical bonds 2 The substrate surface is composed of amphiphilic polymers; the amphiphilic polymers include hydrophilic and hydrophobic structural units, and the mass composition of the amphiphilic MOF-based catalyst is as follows: MOF-NH 2 The substrate comprises 50%-75%, and the amphiphilic polymer comprises 15%-35%. The catalyst provided by this invention significantly improves the pyrolysis efficiency of heavy oil, optimizes the distribution of pyrolysis products, and promotes the deep pyrolysis reaction of heavy oil heavy components, thereby improving the quality of pyrolysis products.

This invention relates to the fields of biomedical imaging and spatial metabolomics, specifically to a method and system for registering spatial metabolomics images with HE-stained images. The method includes the following steps: acquiring two adjacent frozen sections of the same tissue sample; performing image preprocessing using the frozen sections; obtaining the extraction and matching results of key point features in the images; performing rigid image registration and obtaining a rigid registration result; performing non-rigid image registration and obtaining a non-rigid registration result; and obtaining the spatial location information of the spatial metabolic imaging using the non-rigid registration result. This invention, by combining advanced image processing technology and machine learning algorithms, automatically registers metabolic imaging images with HE-stained images, significantly improving registration accuracy and efficiency. It effectively solves the problems of large errors, low efficiency, and strong operational dependence in existing manual registration methods, meeting the needs of high-throughput, high-precision spatial metabolomics analysis and supporting large-scale data processing.

The invention discloses a dry-process lime feeding system and method for refining an aluminum oxide crude liquid, and relates to the technical field of aluminum oxide production, the system comprises a precise dry powder feeding module, a premixing dispersion generator, a main fluid dispersion and reaction module and an intelligent control subsystem. The method comprises the following steps: continuously outputting dry lime powder through the precise dry powder feeding module, performing primary premixing on the dry lime powder and high-pressure liquid in the premixing dispersion generator to form gas-liquid-solid three-phase premixed slurry, injecting the premixed slurry into the main coarse liquid pipeline, and performing secondary ultimate dispersion and reaction through the main fluid dispersion and reaction module. The method provided by the invention solves the problem of dispersion of dry lime powder, realizes dry-process direct addition, greatly simplifies the process flow, reduces the equipment investment and energy consumption, improves the utilization rate of lime and the desilicication refining effect, enhances the production stability and controllability, and is suitable for a crude liquid refining process in Bayer-process alumina production.

This invention belongs to the field of optoelectronic device technology, specifically relating to a row-and-column visible-near-infrared image sensor based on a graphene / silicon array and its fabrication process. The detector comprises silicon on an insulating layer, graphene, silicon dioxide, and electrodes. This detector achieves detection in the visible to near-infrared band by constructing a graphene / silicon Schottky junction. Through array structure design, row and column readouts are achieved via circuitry between the electrodes and graphene. This invention helps to overcome the technical bottlenecks of two-dimensional materials in wide-band, high-sensitivity image sensing.

This invention relates to a multi-bus data fusion processing method and system based on a logging tool, belonging to the field of oil and gas drilling measurement data transmission technology. The method includes receiving logging data collected by the logging tool's measurement probe and different data packets sent by the system bus; performing preliminary processing on the received logging data, including self-identification, self-diagnosis, and self-correction; identifying and converting the different received data packets; performing real-time fusion processing on the self-identified, self-diagnosed, and self-corrected logging data and the identified and converted data packets; and packaging the real-time fused data according to different communication protocols, and sending the packaged data to the system bus and / or storage unit. This invention forms a multi-bus data fusion processing system, which is embedded in the logging tool connected to the drilling string, enabling data interaction between the logging tool and other instruments in the instrument string, and achieving parallel processing and self-diagnosis of multiple sets of data.

This invention discloses a simulation method for behavior analysis and intelligent risk early warning based on multimodal information fusion. First, a virtual 3D scene with precise physical properties and programmably controllable environmental parameters is constructed. Second, multimodal raw data streams are synchronously generated within the scene and processed using a physical degradation model based on set environmental parameters to generate data highly consistent with the real world. Third, the degraded data stream is fed into the intelligent system under test (SUT) in real time and automatically compared with the precise ground truth labels generated by the simulation, constructing a closed-loop simulation and performance evaluation system. This method can deeply verify the effectiveness of modules such as environmental perception, dynamic weight adjustment, and intelligent fusion decision-making within the SUT, and supports large-scale automated testing and parameter optimization, thereby systematically improving the system's environmental adaptability, recognition accuracy, and decision robustness under harsh conditions such as low light and high noise.

The application provides a processing optimization method of wet paper wrapped Gastrodia elata, and belongs to the technical field of traditional Chinese medicines.The processing optimization method is as follows: Gastrodia elata is laid on paper wetted by water, and then paper wetted by water is used to cover the Gastrodia elata for baking; single factor experiments are carried out by taking baking time, baking temperature, paper amount and water amount as influence factors, and the content of alcohol-soluble extract, Gastrodia elata element, p-hydroxybenzyl alcohol and barbatusoside components is taken as an evaluation index; baking time, baking temperature and water amount are selected as observation factors, a comprehensive score of the quality of the processed product is taken as a response value, response surface experiments are designed, a quadratic multivariate regression model is established, the parameter value making the comprehensive score reach the best is determined, and the best processing method is obtained: the paper amount is 12 g, the water amount is 30 mL, the baking temperature is 110 DEG C, and the baking time is 200 min.After the Gastrodia elata is baked by the processing optimization method, the obtained product has the properties of mild medicine nature, yin-nourishing and wind-relieving, neutral and slightly warm, and strong spasm-relieving.

The application belongs to but is not limited to the technical field of Blattella germanica prevention and treatment, and discloses a Blattella germanica prevention and treatment method and system based on nanoparticle delivery of lethal gene dsRNA, which comprises the following steps: Blattella germanica lethal gene full-length cloning; plasmid construction and dsRNA expression and purification; and RNAi feeding. The application first confirms an efficient RNAi lethal target point for Blattella germanica, ensures the efficiency of the technical scheme, realizes low-cost and large-scale preparation of an active ingredient of an RNAi insecticide, breaks through the cost bottleneck of commercial application, creatively constructs a nanocomposite delivery system, efficiently overcomes the technical bottleneck of oral delivery of RNAi, and provides an environment-friendly practical prevention and treatment scheme, and has important application value and prospect.

The invention discloses a charging pile cluster energy sharing system and distribution method, a terminal and a storage medium. The system comprises an energy sharing control terminal, a plurality of charging piles and a contactor array connected with the charging piles. The control terminal is in communication connection with each charging pile, receives a power request of any charging pile, determines a power provider according to a real-time state and sends a scheduling instruction; and after a ready signal fed back by the provider is received, the contactor array is controlled to establish a physical electric energy transmission path between the provider and the demand side. The charging pile comprises a power module and a controller, the controller sends a power request when serving as a demand side, responds to an instruction when serving as a provider to control the power module to execute a simulation charging process so as to enter an external power supply state, and feeds back a ready signal to the control terminal. According to the invention, direct physical transmission of electric energy across equipment is realized, single-pile power limitation is broken through, the utilization rate of cluster resources is improved, and safety and reliability of the system are guaranteed through centralized scheduling and a hardware isolation mechanism.

The application belongs to the technical field of measurement, and discloses a bearing deviation detection method and system, a regular polygon light path is arranged around the bearing, a preset interval is used as a deviation threshold reference, when the actual center of the bearing deviates more than the allowed value, the outer peripheral surface will block the light path, causing the light source device or the reflection device to generate an indication signal; the structure design realizes online detection in the running state of the equipment, the bearing state monitoring can be completed without shutdown, and the technical bottleneck that the traditional detection method depends on professional institutions and shutdown operation is solved; the closed loop characteristic of the regular polygon light path ensures full circumferential detection coverage, and the corresponding setting of the interval and the maximum allowed deviation distance establishes an intuitive fault determination standard; thereby, the center deviation of the large mechanical bearing can be monitored in real time, quickly and accurately.

The application discloses a geotechnical engineering multi-failure mode reliability analysis method and system, and the method comprises the following steps: acquiring statistical characteristics of characteristic parameters based on survey data to generate an initial sample set; constructing a function function for multiple failure modes; training multiple intelligent models by using the initial sample set and function response values; inputting the current sample set into the intelligent models to obtain predicted response values of each failure mode, and taking the maximum value as a system response value; comparing the system response value with an intermediate threshold value, screening failure samples, and updating probability weights; generating a next layer sample set based on the failure samples, updating the threshold value, and iterating until the threshold value converges to a failure boundary; and calculating the reliability by counting the number of failure samples and weights. The method replaces the traditional function function with the intelligent model to reduce the calculation time; the maximum response value is extracted to convert the multi-failure mode into a single joint event; the layered sampling and dynamic weight updating accurately approach the dangerous area, and efficient, unbiased and accurate reliability evaluation is realized.

This invention discloses a USB-pluggable external heterogeneous NPU computing power hardware device, belonging to the field of edge AI external acceleration hardware technology. The device includes a USB interface unit, a power management module, a built-in lithium battery module, a heterogeneous NPU main control chip, a hierarchical isolated storage unit, and a low-level firmware control unit. The heterogeneous NPU main control chip adopts a dual-core heterogeneous architecture of an NPU core and an MCU core. The NPU core independently undertakes all AI large model inference operations, the MCU core is responsible for power management and storage scheduling, and the upper-level terminal is only responsible for instruction input and result display. The hierarchical isolated storage unit includes a physically bus-isolated firmware hardening area, a model storage area, and a hardware cache keep-alive area. When a physical disconnection of the USB interface is detected, the low-level firmware control unit uses the built-in lithium battery to provide instantaneous power and urgently writes the context cache data of the current inference session into the hardware cache keep-alive area. When the device is reconnected to any terminal, the cache data is read and restored first, without reloading the model, achieving sub-second session continuity across devices. This invention solves the technical problems of existing USB computing sticks lacking session keep-alive, losing cache upon power failure, and requiring model reloading across devices, and is suitable for offline AI computing power expansion across multiple terminals and scenarios.

The utility model provides a kind of wood planer lifting improvement structure, include: a pedestal, multiple corners are provided with ball screw;A upper seat, its bottom surface and the workbench form a working space, and is equipped with multiple assembly holes;A motor and a driving element are located in the upper seat, the motor is used to drive a cutter shaft rotation;Several lifting units are respectively assembled in each assembly hole, the lifting unit is composed of a ball nut, two thrust bearings, a driven part and a driven wheel, wherein the ball nut and ball screw form guide screw mechanism, and are engaged with the driving element by the driven part to drive the upper seat to realize multi-axis synchronous lifting;By this means, the gap error caused by screw thread can be effectively eliminated, the machining precision and stability are improved, and high smoothness and durability are provided.

The invention provides a preparation method of modified stropharia rugosoannulata crude polysaccharide and application of the modified stropharia rugosoannulata crude polysaccharide in lactobacillus fermentation of rhizoma polygonati, and belongs to the technical field of bioengineering. The method comprises the following steps: carrying out irradiation treatment on crude stropharia rugoso-annulata polysaccharide, and then carrying out ultrahigh pressure treatment to obtain the modified crude stropharia rugoso-annulata polysaccharide. In order to solve the problem that the proliferation of lactic acid bacteria is inhibited in the fermentation process of rhizoma polygonati, the growth of the lactic acid bacteria is promoted by adding the modified stropharia rugoso-annulata crude polysaccharide. The method can effectively reduce the inhibition effect of the polygonatum sibiricum primary pulp on lactic acid bacteria and improve the fermentation efficiency. After the fermentation broth is applied to polygonatum sibiricum fermentation, the content of irritant components is reduced, the taste and flavor of primary pulp are improved, the content of saponins, total phenols and total flavonoids is remarkably increased, and meanwhile the content of cholesterol is reduced. In addition, the inhibition capability and the antioxidant activity of the fermented polygonatum sibiricum primary pulp on alpha-glucosidase are enhanced, and the comprehensive quality of the product is remarkably improved.

The invention discloses a thermal power generating unit combustion system modeling method based on mechanism and data driving fusion, and belongs to the technical field of thermal power generating unit modeling and control. Aiming at the problems of an existing thermal power generating unit combustion system modeling method in the aspects of nonlinear description capability, dynamic response capability and multi-working-condition adaptation, firstly, unit operation data are preprocessed, and a simplified mechanism model is established according to a mechanism rule and used for describing a system basic relation; on the basis, a data driving model combining a convolutional neural network (CNN) and a long short-term memory network (LSTM) is designed, a mechanism-data driving parallel hybrid framework is further constructed, and a gate fusion network (GFN) is introduced to adaptively adjust weighting coefficients of a mechanism channel and a data channel. The method has remarkable advantages in the aspects of prediction precision, dynamic response and robustness.

The invention discloses an intelligent monitoring system and method for a water-turbine generator set based on LSTM-Transform multi-modal fusion, and provides an innovative deep learning solution aiming at the defects of the existing monitoring technology in the aspects of multi-source data fusion, early fault recognition and cross-spatio-temporal scale feature extraction. According to the system, multi-modal monitoring data such as vibration signals, infrared thermal imaging and oil analysis are integrated, time sequence dynamic features are captured by using an LSTM network, cross-modal feature fusion is realized in combination with a Transform global attention mechanism, and a comprehensive unit health state evaluation model is constructed. According to the method, the early abnormal symptoms of unit operation can be effectively recognized, the accuracy and timeliness of fault early warning are remarkably improved, meanwhile, different working conditions are adapted through a self-adaptive learning mechanism, and reliable technical support is provided for intelligent operation and maintenance of the water-turbine generator set. The system has the characteristics of flexible deployment and strong expansibility, and can be widely applied to state monitoring and maintenance decision-making of various hydroelectric power generation equipment.

This invention belongs to the field of flexible connection components for parabolic trough collectors and the technology of solar thermal power generation. It discloses a flexible connection planar rotary joint for high-temperature parabolic trough collectors, comprising: a shell, a first bushing, four first metal-edged wire-reinforced sealing rings, two second metal-edged wire-reinforced sealing rings, a sealing ring support, a hollow shaft, a sealing ring pressure ring, a second bushing, two anti-rotation pins, adjusting bolts, a threaded flange, injectable soft sealing filler, and three injection port sealing bolts. The shell serves as the base of the planar rotary joint, with three evenly distributed threaded injection ports on its circumference for connecting a one-way valve and a high-pressure injection gun to add injectable soft filler. After the sealing material is injected, the injection threads on the shell are plugged using the sealing bolts on the injection ports. The bushing is located at the bottom of the inner cavity of the shell, and a first set of sealing rings and a second set of sealing rings are respectively arranged on both sides of the injectable soft filler sealing cavity. The anti-rotation pins prevent the second bushing from rotating under the dry friction torque generated by the rotation of the hollow shaft.

This invention discloses a predictive control method and system for shore power wireless charging based on a digital twin model, relating to the field of shore power access for berthed vessels. The method first constructs a digital twin model of the target vessel, including a vessel kinematics sub-model, a wave disturbance sub-model, and a coupling coefficient mapping sub-model. Real-time motion attitude data and environmental wave data of the target vessel are acquired. The acquired data is then input into the digital twin model to map the coupling coefficient change trajectory. Finally, the coupling coefficient change trajectory is used as a feedforward quantity, combined with current electrical state parameters, to construct a model predictive control optimization problem. The optimal control quantity sequence is solved, and the first control quantity is output to the shore power wireless charging device to compensate in advance for the impact of coil offset caused by vessel motion on transmission efficiency. This achieves accurate prediction and proactive compensation for coupling coefficient changes caused by vessel motion, significantly improving the transmission efficiency and dynamic stability of shore power wireless charging.

The invention discloses a method suitable for analyzing drivability of an outer core of a stiff composite pile cement-soil mixing pile, which comprises the following steps: S1, sand layer differentiation pretreatment construction, which comprises the steps of pre-construction investigation and parameter design, layered mixing pretreatment and flexible pile quality pre-control; the method comprises the steps of implantation opportunity control, equal-core positioning and guiding, layered implantation and resistance control and pile body deflection real-time correction. The method comprises the following steps: firstly, carrying out detailed investigation on a sand layer in a construction area, determining the particle size, compactness and gravel-cobble distribution range and content of the sand layers with different depths, dividing three areas, namely an upper loose fine sand layer, a middle transition sand layer and a lower medium-dense coarse sand layer, and designing cement soil stirring parameters in a targeted manner; by implementing the sand layer precise layering, differential stirring pretreatment and filler adaptation technology, the problems that sand layer pretreatment is not uniform, and combination of the flexible pile and the sand layer is weak are effectively solved.

The invention relates to the technical field of welding devices, in particular to an automatic aligning steel fireproof door welding device which comprises a supporting table and further comprises a butt joint mechanism and a welding mechanism, and the butt joint mechanism is arranged on the supporting table and used for automatically aligning and splicing the long edges and the short edges of a fireproof door frame; the welding mechanism comprises a transverse moving part, a longitudinal moving part, a carrier block, a laser head, a movable block, a motor a, a telescopic component b, a nut block b, a screw rod b and a discharging box. The longitudinal moving part is slidably arranged on the supporting table; the transverse moving part is arranged on the longitudinal moving part; the carrier block is connected with the transverse moving part; the telescopic part b is arranged on the carrier block and is connected with the movable block; the screw rod b is rotationally connected with the movable block; the motor a is arranged on the movable block, and the output end of the motor a is connected with the screw b; the nut block b is in threaded connection with the screw rod b; the laser head is connected with the nut block b; the discharging box is connected with the movable block. According to the invention, the problem of incomplete penetration caused by insufficient laser energy is fundamentally solved, and meanwhile, the required laser power is reduced.

The invention discloses an abrupt change section concrete pouring method which comprises the following steps: optimizing performance parameters of each layer of concrete according to a section abrupt change coefficient K through an integrated process of abrupt change section parameterization analysis, concrete mix proportion gradient design, adjustable template support, layered synchronous pouring and intelligent maintenance; the transition connection layer gives consideration to fluidity and bonding strength, the large-section main body layer optimizes compactness and heat dissipation performance, and the small-section main body layer improves strength and impermeability; in cooperation with flexible formwork supporting and ultrasonic-assisted vibration, seamless connection, uniformity and compactness of the abrupt change part are achieved; the intelligent maintenance system accurately controls the temperature and the humidity, and the crack risk is reduced. According to the invention, the bonding strength (greater than or equal to 1.5 MPa) and the compactness (the void ratio is less than or equal to 2%) of the concrete with the abrupt change cross section are obviously improved, the crack occurrence rate is reduced by 85% or more, the construction efficiency is improved by 40%, and the concrete is suitable for construction of structures such as industrial plant brackets, bridge pier stud variable cross sections and high-rise building transfer floors.

The invention belongs to the technical field of enterprise digital intelligent operation, and particularly discloses an enterprise-level digital intelligent operation system, which comprises a presentation layer, a cognition and scheduling layer, a connection and execution layer and a data and knowledge layer which are arranged in sequence, and is characterized in that the presentation layer is responsible for receiving a user instruction and displaying an execution result; the cognition and scheduling layer is responsible for understanding user intentions and planning task steps; the connection and execution layer is responsible for packaging and managing various tools and business system interfaces through a standardized protocol so as to convert intelligent decisions into actual business operations; the data and knowledge layer is responsible for centralized management of enterprise knowledge, task context and execution logs, and provides data support and knowledge enhancement for intelligent decision making. According to the method and the device, the natural language instruction can be automatically analyzed into the cross-system executable task sequence, and full-process automation from user intention recognition, intelligent tool scheduling to business closed-loop execution is realized, so that the operation efficiency of an enterprise is improved.

The application discloses a nystatin solution and a preparation method and application thereof, which is prepared from the following raw materials in parts by weight: nystatin 20-50 parts, dimethyl sulfoxide 110-220 parts, preservative 1.5-2.0 parts, antioxidant 0.5-1 part and 1,2-propylene glycol 737-880 parts. The application creatively adopts a composite solvent system of dimethyl sulfoxide and propylene glycol, utilizes the extremely strong dissolving capacity of dimethyl sulfoxide and the auxiliary solubilization and dilution effect of propylene glycol, and produces a significant synergistic effect. The system can completely dissolve up to 50 parts by weight of nystatin, forms a clear, transparent and uniform stable solution, fundamentally solves the technical bottleneck that nystatin cannot be prepared into a high-content solution due to poor water solubility, and lays a foundation for poultry group water medication.

The application discloses an inversion method based on apparent resistivity average slope adaptive time-frequency data correction, and comprises the following steps: acquiring time-frequency data and obtaining apparent resistivity average slope; correcting the time-frequency data by using the apparent resistivity average slope and an adaptive time-frequency data correction factor to obtain corrected time-frequency data; constructing an inversion data target function and inverting the corrected time-frequency data. Through the above scheme, the application has the advantages of simple logic, accuracy and reliability, and has high practical value and popularization value in the field of geophysical electromagnetic prospecting technology.