23results about How to "Overcoming technical bias" patented technology

The invention belongs to the technical field of weather forecast, and discloses an information fusion dual-polarization radar urban heavy rainfall short-term and imminent forecast deep learning method and system. The invention provides a novel urban heavy rainfall short-term and imminent forecasting method based on meteorological radar data through a research thought of'space-time-space-time fusion 'on the basis of a deep learning technology in combination with a physical mechanism of heavy rainfall. According to the method, heavy rainfall is accurately forecasted by analyzing spatial and temporal distribution characteristics of heavy rainfall, extracting high-dimensional spatial characteristics, developing a super-resolution heavy rainfall spatial characteristic extraction model, combining time evolution characteristics of heavy rainfall and adopting an LSTM and spatial and temporal characteristic fusion model, and the accuracy and timeliness of urban heavy rainfall forecasting are improved.

The invention belongs to the technical field of robot path planning, discloses an autonomous robot path planning method based on deep reinforcement learning, and aims at the problem that an agent is difficult to fully sense the environment in a complex dynamic environment, the State space of SAC is expanded and adjusted to enhance comprehensive sensing of an unknown environment and more flexible omnibearing obstacle avoidance. A heuristic reward function is designed, dynamic adjustment of reward values is achieved, and therefore the learning process of the robot is optimized. In order to solve the problems that the calculation complexity of an algorithm is increased and the convergence speed is reduced in a complex environment, the sample utilization rate is optimized in combination with a prior experience playback (PER) technology and a SumTree data structure. The weight of a high-value sample is increased through the PER technology, so that an intelligent agent can learn an effective strategy more quickly in the training process; and a SumTree data structure is introduced, so that the PER efficiency is further improved.

The invention belongs to the technical field of road engineering materials, and discloses a wide-temperature-range crack pouring adhesive based on rubber modified asphalt and a preparation method thereof.The wide-temperature-range crack pouring adhesive is prepared by taking the rubber modified asphalt as a matrix through a response surface method and adding SBS, basalt fibers and a modifier. The performance of the material is tested through a conventional test, and meanwhile, a test with more characteristics in northeast regions is provided, and the performance of the material is detected through injection depth, viscosity, low-temperature stretching after aging and freeze-thaw cycle stretching. Results show that a test designed by a response surface method has very strong reliability, and the modified heating type crack pouring adhesive added with the basalt fiber can significantly improve the high and low temperature performance of the crack pouring adhesive, and also has good anti-aging performance and freeze-thaw cycle resistance. And the filling depth and the viscosity of the sealant are not obviously lower than those of the same type of sealant.

The invention belongs to but not limited to the technical field of unmanned aerial vehicle communication, and discloses a cooperative detection method and system in an unmanned aerial vehicle communication and sensing integrated network, an unmanned aerial vehicle communication and sensing integrated system is constructed, and a base station and a detection unmanned aerial vehicle jointly execute a detection task; in a cooperative detection scene, establishing an unmanned aerial vehicle communication and sensing signal transmitting and receiving signal model; according to a maximum likelihood criterion, sensing data fusion is carried out on the detection sets of the base station and the unmanned aerial vehicle by adopting an EKF algorithm; mathematical modeling is carried out on the maximization problem of the reachable communication rate; the communication performance is enhanced by jointly optimizing the trajectory of the unmanned aerial vehicle and a beam forming algorithm, and the optimization problem of maximizing the communication rate is solved. According to the invention, the problems of high maneuverability, miniaturization and high possibility of being blocked by buildings of the black flight unmanned aerial vehicle can be solved, the sensing accuracy is effectively improved by using communication fusion sensing information, the cooperative sensing distance is increased, and the detection performance is enhanced.

The invention provides a brain perfusion parameter acquisition method and device based on angiography, equipment and a medium. The method comprises the following steps: acquiring a cerebral angiography image, segmenting a target blood vessel image from the cerebral angiography image, and extracting a plurality of radiomics data features and cerebral vessel anatomical data features from the target blood vessel image; screening the plurality of image omics data features according to the correlation coefficients of the plurality of image omics data features to obtain a target image omics data feature; inputting the target radiomics data features as a pre-trained classification model, outputting a prediction result of brain perfusion parameters, and constructing a final parameter set according to the anatomical data features and the prediction result; by adopting the method, the brain perfusion parameter acquisition efficiency can be improved, and the acquisition cost is reduced.

The invention belongs to the field of coal-fired power generation, and particularly relates to a heat supply and power generation system for improving the flexibility of a thermoelectric load by coupling molten salt heat storage and an operation method, the system is additionally provided with a heat supply network heating system on the basis of a conventional coal-fired power generation system, and is coupled with an innovative heat storage system adopting a collaborative heat storage and collaborative heat release structure. When the power supply load of the coupling heat supply power generation system is reduced, reheated steam and redundant electric power which is not connected to the network are used for heating molten salt for collaborative heat storage, meanwhile, reheated cold section extraction steam is used for supplying heat to a heat supply network, the load reduction rate is increased, the downward peak regulation depth of the coupling heat supply power generation system can be effectively reduced, and the power supply efficiency is improved. And zero power output of the power generation system can be realized under the condition that the boiler maintains the lowest operation load. The thermoelectric load characteristic interval range of the coupling heat supply power generation system is remarkably expanded, the variable load rate of the coupling heat supply power generation system is improved, and the heat supply and power supply flexibility of the coupling heat supply power generation system is improved.

The invention belongs to the field of biological feature recognition, and discloses a dynamic local fusion network gait recognition method and system, the dynamic local fusion network gait recognition method comprises a dynamic local fusion network model, and the dynamic local fusion network model is composed of a feature extractor, a global perception flow and a local detail flow; the method comprises the following steps: firstly, taking a skeleton sequence extracted from an attitude estimator as input, and performing spatio-temporal feature extraction through a feature extractor consisting of an ST-GCN module with a residual error and a bottleneck structure; the extracted data respectively flows into a global perception stream and a local detail stream to obtain global feature representation and local feature representation of the gait; and splicing the obtained global features and local features to obtain the gait of the target person, and obtaining a gait recognition result according to the similarity with a known skeleton sequence. The method not only pays attention to global skeleton motion information, but also performs network model modeling on local limb parts, so that gait features with higher identification degree can be extracted.

The invention belongs to the technical field of robots, and discloses a decoupling control method and system for a two-degree-of-freedom vibration suppressor of a robot, and the method comprises the steps: analyzing the structural characteristics of a robot system, and designing a decoupling control strategy through a structural invariance principle; coupled vibration of force applied in the X direction in the Y direction and coupled vibration of force applied in the Y direction in the X direction are effectively eliminated. Compared with a traditional vibration control method, the multi-degree-of-freedom vibration suppression method has the advantages that the influence of a pose related mode and a coupling mode of the robot is fully considered, multi-degree-of-freedom vibration suppression can be efficiently realized in real time in a complex load and dynamic environment, and the adaptability and the control precision are relatively high. The technology has wide application prospects in the fields of robot precision machining, assembling, carrying and the like, and the stability, precision and working efficiency of a robot system can be remarkably improved.

The invention belongs to the technical field of preparation of gel particles, discloses a functional ionic liquid enhanced polyacrylamide-based gel particle plugging agent and a preparation method thereof, and designs a novel polymer gel particle plugging agent which is based on an ionic liquid cross-linking agent and can be used for oil well fracturing modification. The polymer gel particle plugging agent is prepared by adopting free radical polymerization, a microfluid technology and a titration gel method, and the preparation process is simple. The ionic liquid is used as the cross-linking agent to prepare the gel particle plugging agent, the gel particle plugging agent is good in thermal stability and stable in chemical property, and compared with a gel particle plugging agent prepared by a common cross-linking agent, the gel particle plugging agent prepared by using the ionic liquid as the cross-linking agent has better stability, high temperature resistance and compressive strength. Experiments show that when the content of the ionic liquid cross-linking agent reaches 1.5%, the compressive strength of the polymer gel particles reaches the maximum value. Therefore, within a certain range, a proper amount of ionic liquid cross-linking agent can effectively enhance the mechanical properties of the gel particles.

The invention belongs to the technical field of using L-menthol as a novel plant source HDACi for inhibiting fungal growth, discloses a volatile substance for inhibiting the growth of fusarium oxysporum by improving the H3K14ac level and a method thereof, and finds that the monomer component L-menthol of mint volatile oil can inhibit the growth of fusarium oxysporum as a volatile small molecule; it is found that the histone deacetylation level of fusarium oxysporum is improved by the mint volatile oil monomer component L-menthol; the monomer component L-menthol of the mint volatile oil can inhibit the activity of histone deacetylase of fusarium oxysporum and inhibit the expression of key genes in a glycolysis / gluconeogenesis pathway.

The present invention discloses a hyperspectral image classification method, device and computer-readable terminal, and relates to the technical field of image classification. The present invention constructs a hyperspectral image classification model based on improved YOLOv7, inserts the improved GAM attention mechanism into the ELAN module in the backbone network to form a new ELAN-GAM module, retains important spectral feature information in three dimensions of the hyperspectral image and amplifies the global spatial interaction features, and at the same time, the added pooling operation can reduce parameters to a certain extent, so that the classification efficiency of the model is improved, and the prediction structure in the head network uses the improved R-FCN classification structure to replace the classification prediction structure of the YOLOv7 head network, and uses RPN to replace the selective search to obtain the hyperspectral image object candidate frame, and after an average pooling, three one-dimensional vectors unified into the same dimension are superimposed to obtain a new feature vector for representing the feature information of the hyperspectral image at different scales, thereby improving the classification efficiency and the classification accuracy of the obtained classification results.

The utility model belongs to but not limited to the technical field of medical instruments, and discloses an endoscopic intervertebral space planer tool device which comprises a connecting part, a working part is arranged at one end of the connecting part, and a universal connecting interface is arranged at the other end of the connecting part and is in butt joint with a power system; the inner diameter of the working part is larger than that of the connecting part, the working part expands at the far end, the diameter of the working part cutter head is larger than that of the connecting part outer sleeve rod, and a working part shell and the cutter head are both provided with openings. A communicated hollow pipeline is arranged between the inner core rod of the connecting part and the tool bit of the working part and communicated with the connector, and after the power system is connected with the connector, the inner core rod and the tool bit axially move and rotate in the outer sleeve rod and the shell. And the suction function is realized through the working part shell opening, the tool bit opening and a hollow pipeline between the connecting part inner core rod and the working part tool bit. When being used for treating the intervertebral space, the device can be inserted into the intervertebral space under the microscope to finish one-time treatment, so that the operation efficiency is improved, and the operation difficulty is reduced.

The invention provides a polymer double-cavity prefilled syringe which comprises a barrel with a bypass, the barrel is provided with a finger handle and an adapter, the adapter is provided with a needle seat, a needle body is fixed to the needle seat, and a protective cap is arranged on the outer side of the needle body. A front plunger, a middle plunger and a rear plunger are arranged in the barrel, and the rear plunger abuts against a plunger rod. The cylinder is formed by integral injection molding of polymer, a group of ribs which are arranged side by side and protrude towards the interior of the cylinder are arranged on the inner wall of the cylinder, the axial length of each rib is larger than that of the middle plunger, the bypass is formed by a gap between every two adjacent ribs, and the outer diameter of the cylinder is larger than that of the adapter; the protective cap is tightly connected with the needle seat, a first anti-falling mechanism is arranged on the joint face of the protective cap and the needle seat, and an inner cavity of the protective cap is communicated with the outside through a bacteria-blocking, hydrophobic and breathable filter membrane. The bypass is formed in the mode that the protruding edges protrude inwards, demolding is convenient, integrated injection molding machining can be conducted through polymers, cost is low, damage is not prone to occurring, and the using effect is good. The outer surface of the cylinder is smooth, the heat conduction performance is good, and the vacuum freeze-drying efficiency is high.

The present invention provides an electric hoist wheel device with a scrap warning function, comprising an electric hoist trolley, the electric hoist trolley comprising a wall panel, a wheel and a driving track, a wheel is provided on one side of the driving track, the wheel is hinged to the wall panel, and a protective cover is provided on the side of the wheel close to the wall panel. The present invention can determine the degree of wear of the wheel by the wear of the protective cover, and the judgment result can be obtained by direct manual observation. The present invention overcomes technical prejudice.

The present invention belongs to the technical field of MC-PMSM system and discloses a method for minimizing the common mode voltage of a matrix converter permanent magnet synchronous motor using model predictive control. According to the current reference value, the voltage vector required for the next cycle, i.e., the reference voltage vector V * ; According to the input voltage phase angle θ in and the phase angles of the six rotating vectors, compare the phase angle of the reference voltage vector with the phase angles of each rotating vector, and determine the sector where the reference voltage vector is located; according to the sector where the reference voltage vector is located and θ in , the obtained vectors are formed into a candidate vector set; each vector in the candidate vector set is substituted into the value function, the obtained function values ​​are compared, and the vector with the smallest function value is selected as the voltage vector of the next control cycle MC. The present invention improves the steady-state performance of torque and current while eliminating the common mode voltage.

The invention discloses an air pollution early warning method based on machine learning, and the method comprises the steps: a sensor records the daily concentration of various air pollutants to generate air pollution data, the sensor transmits the air pollution data to information processing equipment, and the information processing equipment carries out the air pollution early warning through an SARIMAX model and a Gaussian naive Bayesian model. And the information processing equipment calculates the false alarm rate and the missing alarm rate of air pollution early warning according to the false alarm and missing alarm records, and adjusts the sensitivity of the sensor. The invention belongs to the technical field of environmental protection. By means of the technical means, air pollution early warning and flexible adjustment of the sensitivity of the sensor which are high in interpretability and low in calculation power requirement and consider seasonal factors are achieved.

The invention belongs to the technical field of shale gas effusion early warning, and discloses a shale gas effusion early warning method and system based on an anti-interference multi-classification technology, the method predicts various abnormal working conditions of a gas well based on a Transform multi-classification model, and on the basis of oil pressure, casing pressure, instantaneous flow rate, downstream pressure and other production dynamic data, through a sliding window and difference calculation, the gas well pressure can be accurately measured. Constructing a time sequence feature, a statistical feature, a periodic feature and an event feature by a self-attention mechanism, and raising the dimension of original four-dimensional data to a 441-dimensional feature vector; based on the gas well static features, gas well static feature vectors are extracted; and the characteristics of production dynamic data and gas well static data are fused for reasoning, so that the generalization ability of the model is remarkably improved. Preprocessing and auxiliary judgment are carried out by applying a rule with relatively high certainty in business knowledge, so that the model effusion abnormity alarm performance is improved.

The invention belongs to the technical field of desktop computers, and discloses a screw-free SSD (Solid State Drive) and WIFI (Wireless Fidelity) module quick assembly and disassembly system and method, which comprises a WIFI mortise and tenon lock 1, an SSDNUT mortise and tenon lock 2, a PCBA (Printed Circuit Board Assembly) preformed hole 3, an SSD module 4, a WIFI module 5, a fixing pin 6 of the WIFI mortise and tenon lock, a fixing hole 7 of the WIFI mortise and tenon lock, a fixing pin 8 of the SSDNUT mortise and tenon lock, a fixing hole 9 of the SSDNUT mortise and tenon lock and a mainboard 10. PCBA preformed holes 3 are formed in the mainboard 10, fixing holes of the WIFI mortise and tenon lock 1 and the SSDNUT mortise and tenon lock 2 are formed in the PCBA preformed holes 3 through deformation, the WIFI module 5 is connected with the mainboard 10 and fixed by the WIFI mortise and tenon lock 1, and the SSD module 4 is connected with the mainboard 10 and fixed by the SSDNUT mortise and tenon lock 2. The problems that an existing SSD module and a WIFI module are fixed through screws, equipment is inconvenient to disassemble, assemble and replace, assembly is complex, cost is high and efficiency is low are solved, and the fixing mode is simple in assembly, free of a screw structure, low in cost, high in efficiency and convenient to disassemble.

The application belongs to the technical field of lithium ion battery recycling and regeneration, and discloses a method for repairing NCM92 positive electrode material recycling by dielectric material, wherein waste positive electrode material is pretreated to obtain NCM92 positive electrode powder; barium titanate or strontium titanate dielectric material is ground and sieved; the NCM92 positive electrode powder is divided into multiple portions, the dielectric material is mixed with the positive electrode powder in a gradient increasing adding amount, and then dried; lithium source is added to each intermediate product and uniformly mixed; finally, high-temperature sintering, crushing and sieving are performed to obtain regenerated NCM92 positive electrode material. The core of the application is that by gradient adding of the dielectric material barium titanate or strontium titanate, the bulk structure repair of the positive electrode material, the elimination of the surface residual potential and the construction of the functional coating layer are simultaneously realized in the high-temperature sintering process, so that the first efficiency, the cycle stability and the rate performance of the regenerated material are significantly improved. The method has simple process, good regeneration effect and low cost, and provides a new way for realizing high-value direct regeneration of the NCM92 positive electrode material of the retired lithium ion battery.

The application belongs to the technical field of transformers, and discloses a linear phase-shifting transformer core loss calculation method, system, device and terminal, which is based on a classical trinomial loss separation model, three loss coefficients are calculated by using a least square method; the influence of local hysteresis loop, magnetic field non-sine, tooth slot effect and skin effect on the loss model and the loss coefficient is analyzed, the static magnetic density characteristics of the linear phase-shifting transformer are obtained based on finite element simulation calculation; the tangential magnetic density and the radial magnetic density of each characteristic point are separated, and Fourier analysis is carried out, the fundamental wave magnetic density and each harmonic magnetic density are substituted into the improved loss separation model. The core loss of the linear phase-shifting transformer in the stable operation state can be accurately calculated, the calculation precision is greatly improved, which can provide a reference for the efficient operation of the transformer, and has important significance for the optimization design of the linear phase-shifting transformer body and the realization of the minimum loss control of the multiple superposition inverter system of the linear phase-shifting transformer.

The invention belongs to but not limited to the technical field of gene synthesis, and discloses a preparation method of framework nucleic acid nanogel coated with an erythrocyte membrane, NG is formed through complementary pairing of bases, and compounding of RBCm and NG is realized by using an Avanti small extruder. SiRNA and TDN are complementarily combined through bases and cross-linked to form NG, TDN provides a first layer of protection for siRNA, and the stability and efficacy of siRNA are enhanced; and the erythrocyte membrane is a second layer of protection to prevent enzymatic degradation and protein adsorption. The M (at) NG combines the bionic property and biocompatibility of RBCm and the efficient drug loading and stability of NG, and has the characteristics of targeted drug delivery, immune escape and the like. The system is suitable for treating various diseases, and the application field of the RNA interference technology is expanded.

The invention discloses a canine distemper vaccine neutralizing antibody detection method and application. The detection method comprises the following steps: (1) co-incubating virus and serum; (2) infecting cells with a virus-serum mixture; and (3) judging the valence of the neutralizing antibody through immunofluorescence or enzyme-linked immunosorbent assay. The application comprises a kit, a test strip and other products prepared on the basis of the neutralizing antibody detection method. The detection method for the canine distemper vaccine neutralizing antibody can be used for accurately and effectively determining the canine distemper virus neutralizing antibody in serum. Compared with a traditional neutralizing antibody detection method, the method overcomes the problems of personal error, poor specificity, low sensitivity and long time consumption, provides a powerful tool for prevention and control of canine distemper, and has a wide application prospect.

The invention belongs to the technical field of plant growth regulators, and discloses an application method and application of lemongrass volatile oil in promoting plant growth, and the application method of the lemongrass volatile oil in promoting plant growth comprises the following steps: step 1, preparing a lemongrass volatile oil solution; the method comprises the following steps: putting 1kg of dried lemon grass and distilled water into a 10L round-bottom flask according to a ratio of 1: 8, soaking for 10 hours, and distilling for 6-9 hours by adopting a steam distillation method; and 2, removing moisture from the collected lemon grass volatile oil by using anhydrous sodium sulfate, storing the lemon grass volatile oil in a brown bottle, and placing the brown bottle in a refrigerator at-20 DEG C for later use. The lemon grass volatile oil is found to be used as a non-hormone small molecule and can promote plant growth; the lemon grass volatile oil is found to promote the increase of the auxin content; after the lemon grass volatile oil is prepared into the nano-emulsion, plant growth can be promoted through leaf spraying and root irrigation.