47results about How to "Solve bottlenecks" patented technology

The invention relates to the technical field of physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The utility model provides a mirror surface roller roundness detection base belongs to roundness detection technical field. A mirror surface roller roundness detection base, including at least two three -dimensional parallel settings recess fixed block, recess fixed block side upper vertical through the at least three positioning slot, two the positioning slot is supported in the rotation connection with the rolling bearing through the limiting shaft. The utility model is opposite to the roller body of different length, need not to adjust the position of tailstock even to replace the whole tailstock component, only need to utilize the on -off type magnetic attraction base quick adjustment its span can. Its adjustment process is simple, can satisfy modern production line fast rhythm, the detection demand of many varieties.

This invention relates to transition layer materials and welding processes for welding dissimilar steel and aluminum materials, belonging to the field of welding technology. The transition layer material for welding dissimilar steel and aluminum materials of this invention comprises a copper layer, a copper alloy layer, and a zinc alloy layer arranged sequentially; the copper layer is adjacent to the steel base material, and the zinc alloy layer is adjacent to the aluminum base material; the copper content in the copper alloy layer is 62.0%-64.0%; the zinc content in the zinc alloy layer is 89.0%-91.0%; the mass ratio of the copper layer, copper alloy layer, and zinc alloy layer is (0.9-1.1):(2.3-2.7):(1.8-2.2). By sequentially setting the copper layer, copper alloy layer, and zinc alloy layer between the steel base material and the aluminum base material, a gradual transition from the steel base material to the aluminum base material is achieved, effectively avoiding the formation of brittle Fe-Al intermetallic compounds during direct welding, and enhancing the mechanical properties and durability of the welded joint.

The invention discloses an intelligent construction site video monitoring system based on a P2P architecture, and relates to the video monitoring technology, and the system comprises a monitoring equipment end which comprises a plurality of monitoring equipment groups and is used for collecting video data; the distributed NVR cluster comprises a plurality of NVRs, and each NVR corresponds to one monitoring equipment group and is used for receiving and storing the video data sent by the monitoring equipment of the monitoring equipment group; the NVR is in communication connection with the video client; the lightweight index server establishes communication connection with the NVR and the video client at the same time and is used for dynamically distributing node loads through a load balancing algorithm; and a plurality of video clients, a P2P network is established among the plurality of video clients, and the plurality of video clients are used for obtaining video data from the NVR or the video clients except the video clients according to the dynamically distributed nodes in the lightweight index server and playing the video data. The invention further discloses a monitoring method. According to the invention, the bottleneck problem of a centralized architecture in the prior art is solved, the single-point fault risk is eliminated, and the system expansibility is improved.

The application discloses an intelligent environment-friendly inflatable quick switch cabinet and a control method thereof, which comprises a gas tank and a vacuum circuit breaker pole arranged in the gas tank, and an insulation pull rod is arranged on the vacuum circuit breaker pole; the opening and closing of an arc extinguishing chamber contact is controlled through the insulation pull rod, so that the circuit is realized; a modular electromagnetic repulsion driving unit is mounted on the outer wall of the gas tank, and the modular electromagnetic repulsion driving unit is connected with the insulation pull rod through an output shaft penetrating through the gas tank; a capacitor group is connected with a coil, which is used for generating electromagnetic repulsion to push a repulsion disc after being electrified; the repulsion disc is rigidly connected with the output shaft, and is used for moving forward and backward under the action of the electromagnetic repulsion; the electromagnetic repulsion driving unit is isolated from the inside of the gas tank through the modular external hanging type setting, the physical breakpoint of the shell mounting interface blocks the conduction of high-frequency strain waves to the inside of the gas tank, the micro cracks of the insulation supporting part caused by mechanical impact in the environment-friendly gas environment are avoided, and the long-term insulation safety under the low dielectric strength is ensured.

The application discloses a virtual patient-based post-implantation facial appearance prediction method and system. It belongs to the department of oral implantation and relates to computer-aided implantation treatment plan making. The method uses preoperative digital image information of a patient to establish a virtual model, performs virtual implantation design on the virtual model, and displays corresponding facial soft tissue changes on software, so that the patient can intuitively feel the postoperative effect. Starting from the concept of facial aesthetics, the method meets the requirements of the patient on facial aesthetics and shape, predicts the postoperative aesthetic effect in the treatment process, maintains good communication at all times, and finally obtains an expected aesthetic restoration effect.

The invention discloses Fe (at) MoS2 hydrogel for sensitizing immunotherapy and a preparation method of the Fe (at) MoS2 hydrogel. The hydrogel comprises ferrous sulfate, molybdenum disulfide and a hyaluronic acid hydrogel matrix. The hydrogel can continuously release iron ions in a tumor slightly acidic environment, Fe is reduced into Fe by utilizing the catalytic action of MoS, and circular supply of Fe is realized, so that tumor cells are efficiently and enduringly induced to generate ferroptosis. More importantly, it is found that the Fe-coated MoShydrogel can specifically up-regulate expression of IL-36 gamma and CXCL2 in a tumor microenvironment for the first time, and by activating an IL36 gamma / CXCL2 / CXCR2 signal axis, mononuclear macrophages are recruited and remodeled, and the immunosuppression microenvironment is reversed. In-vivo experiments show that when the hydrogel is combined with an immune checkpoint inhibitor (such as an alphaPD-1 antibody), a remarkable synergistic anti-tumor effect can be generated, and the complete remission rate is greatly improved.

The utility model relates to the technical field of mechanical equipment, in particular to a micropore throttling hydrostatic guide rail sliding block which comprises a sliding block body, and the lower end face of the sliding block body is provided with a first oil outlet face and an oil injection hole at the same time. The side end face, close to the guide rail, of the sliding block body is provided with a second oil outlet face. A first oil way and a second oil way are arranged in the sliding block body, one end of the first oil way communicates with the oil injection hole, the other end of the first oil way extends to the second oil outlet face, one end of the second oil way communicates with the first oil way, and the other end of the second oil way communicates with the first oil outlet face. According to the utility model, the micro-pore integrated oil path is used for replacing a modularized thin film throttler in the prior art, so that the structure is simplified, the reliability is improved, the manufacturing cost is reduced, the stability of an oil film is optimized through a capillary throttling network, and the bottleneck problem caused by the dependence of an elastic element and complex assembly in the prior art is effectively solved.

The application discloses a small sample geothermal resource prediction method and device, system and storage medium, comprising: learning the Bayesian prior knowledge with generalization ability from limited source data by meta-learning, migrating to a new small sample target area through a rapid adaptation mechanism, and utilizing multi-scale differential similarity calculation and mixed student distribution to realize high-precision point prediction and reliable uncertainty interval estimation. By adopting the technical scheme of the application, under the objective constraints of small sample, high cost and strong regional heterogeneity in geothermal resource exploration, high-precision, high-robustness and energy-based uncertainty reserve prediction can be realized.

The utility model provides a split type ethylene cold box steel structure device. The split type ethylene cold box steel structure device comprises at least four side wall plate sheet assemblies, a bottom plate sheet assembly and a top plate sheet assembly which are mutually independent and can be welded and spliced to form a closed box body. Each side wall plate piece assembly comprises a first rectangular frame formed by welding a plurality of stand columns and a plurality of first cross beams, a plurality of inclined struts welded in the first rectangular frame, and a plurality of panel reinforcing ribs welded between the stand columns and the first cross beams. And the first panel covers and is welded on the first rectangular frame and the panel reinforcing ribs. According to the utility model, the large cold box is divided into a plurality of independent plate assemblies with the sizes within the standard transportation limit, so that the bottleneck problem of overall transportation of oversized parts is solved, and the transportation cost and the safety risk are obviously reduced.

The application relates to the field of packaging heat dissipation technology, and provides a three-dimensional integrated active heat dissipation structure, which comprises an upper cover plate layer, an air inlet hole is arranged on the upper cover plate layer; a fan and pump layer is arranged below the upper cover plate layer; at least one liquid cooling flow channel layer is arranged below the fan and pump layer; a high-power device layer is arranged below the at least one liquid cooling flow channel layer; at least one vapor chamber layer is arranged on at least one surface of the high-power device layer; at least one heat conduction material layer is arranged between the high-power device layer and the vapor chamber layer; and a lower cover plate layer is arranged at the bottom of the whole structure. The structure can be combined by selecting and matching the air cooling layer, the single and double liquid cooling layers and the vapor chamber layer according to different high, medium and low power devices, and three-dimensional integration and synergic coupling of the air cooling, liquid cooling and solid heat conduction structure are achieved, so that three-dimensional heat management is realized.

The invention relates to the technical field of artificial intelligence and medical first-aid robots, and provides a multi-body-position neck area visual perception method and system for unmanned autonomous cricothyroid membrane puncture in order to solve the problems that missing detection or false detection is likely to occur and the system robustness is seriously insufficient at present. Comprising the following steps: S1, constructing a first-aid airway neck data set; s2, on the basis of the first-aid airway neck data set, constructing a lightweight YOLOv8n target detection model; s3, the lightweight YOLOv8n target detection model is trained; and S4, carrying out evaluation on the trained lightweight YOLOv8n target detection model. Training is carried out based on a self-built EAND multi-body-position neck area data set, and the YOLOv8n model can effectively adapt to neck shape changes under various non-standard body positions such as supine, side-lying and semi-sitting. In a real test set containing complex illumination, clothes shielding and motion blur, the model accuracy reaches 0.988, mAP 0.5 reaches 0.964, the method is obviously superior to other methods, and the problem that a traditional model fails after changing a body position due to data deviation is solved.

The invention provides a processor and electronic equipment, the processor comprises a giant bandwidth memory, a memory controller, a copy engine and an on-chip memory, the giant bandwidth memory is directly connected to the copy engine through the memory controller, the copy engine is connected with the on-chip memory, and the on-chip memory is connected with the memory controller. The transmission bandwidth of the giant bandwidth memory is matched with the transmission bandwidth of the copy engine, so that the processor and the electronic equipment can shorten the data transmission path and improve the bandwidth utilization rate by optimizing the processor architecture.

The invention discloses a process and a method for preparing a nano material. Specifically, lithium iron phosphate, composite sodium iron phosphate and calcium carbonate are efficiently prepared by adopting a sol-gel method and a precipitation method respectively. When the lithium iron phosphate and the composite sodium iron phosphate are prepared, the reaction process is controllable by regulating and controlling the oscillation condition, the reaction temperature, the pH value and the retention time, and a target product is obtained after the gel is calcined. When calcium carbonate is prepared, nucleation and crystallization are enhanced by controlling the flow rates of a precursor, a precipitator and a surfactant and combining oscillation. According to the method, mixed mass transfer is enhanced by means of periodic oscillatory flow, local supersaturation and concentration gradient are inhibited, reactant deposition and channel blockage are reduced, continuous and stable production is guaranteed, meanwhile, the use amount and cost of a surfactant are reduced, and accurate regulation and control over the particle size, morphology and distribution of the material are achieved. Compared with a traditional process, the preparation period is greatly shortened, the product purity and the reaction efficiency are improved, and the method is suitable for industrial continuous production and has remarkable economic benefits and social benefits.

This application discloses a data migration method, storage medium, and computer program product. The method is applied to a first device, which has a first software process. The method includes: calling a first PCI virtual function device (PCI device) through the first software process; obtaining relevant information about first information of a first virtual machine through the first PCI device; the first PCI device represents the Option ROM in a first DPU of the first device; and sending second information to a second software process on a second device through the first software process, so that the second software process migrates the first information from the first virtual machine to the second virtual machine based on the relevant information of the first information contained in the second information; wherein the second information represents data migration instruction information, the first virtual machine runs on the first device, and the second virtual machine runs on the second device.

The application provides a method and system for removing high-concentration complex cyanide in gold extraction wastewater, and relates to the technical field of sewage treatment. The method comprises the following steps: adjusting the pH of the gold extraction wastewater to 8-10 to obtain pretreated wastewater; adding a cobalt ferrite particle catalyst to the pretreated wastewater and introducing ozone to obtain oxidized effluent; dividing the oxidized effluent into solution A and solution B according to the volume ratio, oxidizing solution A under the condition of low dissolved oxygen by using anaerobic ammonia oxidation bacteria, mixing the oxidized solution A with untreated solution B to obtain a mixed solution; and reacting the mixed solution with porous adsorption material and anaerobic ammonia oxidation bacteria, and recycling the cobalt ferrite particle catalyst for circulation. The method used by the application can effectively improve the removal rate of high-concentration complex cyanide, realizes complete mineralization of the complex cyanide, solves the core problem of difficult degradation of the complex cyanide, has strong load resistance, is simple to operate, and has good adaptability.

This invention provides a universal automatic Mylar applicator, belonging to the field of Mylar applicator technology. It includes a frame, a Mylar feeding assembly, a guide wheel assembly, a Mylar flow channel assembly, a Mylar applicator assembly, a cutting assembly, a pulling assembly, and a support base mounted on the frame. The support base is located below the Mylar applicator assembly, and the cutting assembly is located on the side of the Mylar flow channel assembly. The Mylar feeding assembly is used to feed Mylar wound into a disc shape. The guide wheel assembly is used to change the direction of Mylar movement. The Mylar flow channel assembly guides the Mylar. The pulling assembly pulls the Mylar and positions it below the Mylar applicator assembly. The Mylar applicator assembly uses negative pressure to adsorb and fix the Mylar. This invention enables automated Mylar applicator application, and can automatically cut and apply Mylar according to the length of the workpiece, greatly improving production efficiency and quality, and achieving universality for various products with different Mylar lengths.

The invention relates to the technical field of electronic test and measurement, and particularly discloses a complex signal multi-objective optimization system and method based on a PXIe bus, the system comprises a system controller, a PXIe bus backboard and a functional hardware module, the functional hardware module comprises a signal acquisition module, a core processing module, a signal output module and an auxiliary module; the signal acquisition module is used for converting a complex analog signal into a complex digital signal; the core processing module is used for processing the complex digital signals according to the current configuration parameters and obtaining optimized configuration parameters through a multi-objective optimization algorithm; and the signal output module is used for converting the optimized configuration parameters into actual physical signals and then outputting the actual physical signals so as to drive subsequent execution equipment or serve as feedback signals. According to the invention, the high bandwidth, low delay and modularization characteristics of the PXIe bus are utilized, and a multi-objective optimization algorithm is combined to realize efficient acquisition, processing and optimization of complex signals, so that the real-time performance, precision and flexibility of signal processing are improved.

This application discloses a coprocessor, hardware acceleration method, device, and medium for post-quantum cryptography algorithms, applied to cloud chips and relating to the field of chip design technology. It includes: a register set divided into a first storage area and a second storage area; a parameter memory for storing auxiliary calculation parameters; multiple parallel butterfly operation units for performing butterfly operations in number-theoretical transformations or inverse number-theoretical transformations to obtain the calculation results; and an access control module connected to the register set, parameter memory, and butterfly operation units, used to simultaneously read the target coefficients of the data to be calculated from the first and second storage areas, and read the corresponding auxiliary calculation parameters from the parameter memory; distribute the target coefficients and auxiliary calculation parameters to multiple butterfly operation units for calculation, and write the calculation results back to the first and second storage areas to update the coefficients. This approach reduces resource consumption and improves computational efficiency while maintaining high parallelism.

The application relates to the technical field of data caching, in particular to a social caching retrieval system fusing hot spot analysis, which comprises a hot degree modeling unit, a social association unit and a caching resource allocation unit. The hot degree modeling unit is used for obtaining a hot spot event set, performing hot degree modeling on each hot spot event in the hot spot event set, and obtaining hot degree characteristics of the hot spot event. The social association unit is used for obtaining a user set and constructing a user-content bipartite graph according to interactive behaviors between the hot spot event set and the user set. Through the hot degree modeling unit and the propagation calculation unit, the hot spot event can be modeled according to user behaviors and historical data, and the hot degree of the hot spot event at a future moment can be predicted by using a hot degree prediction model, so that the events which will become hot spots can be identified in advance, and more caching resources can be allocated to the events according to the prediction results.

The application provides an API monitoring method and device in an energy internet marketing service system and a storage medium, the method comprising: acquiring all APIs that can be called in the energy internet marketing service system, and constructing a two-dimensional dependency matrix based on the dependency relationship of the APIs; monitoring the calling of all the APIs, and generating a calling record for each calling; generating an API calling heat map based on the calling records of all the APIs, and marking the average value of the calling response time of each API in the API calling heat map; determining a bottleneck API affecting the performance of the energy internet marketing service system based on the two-dimensional dependency matrix and the API calling heat map, and processing the bottleneck API. The application determines the bottleneck API affecting the performance of the energy internet marketing service system based on the two-dimensional dependency matrix and the API calling heat map, solves the problem that the calculation resource for determining the bottleneck API is large and the accuracy is not high, and thus the system performance can be recovered as soon as possible.

The invention discloses a high-temperature and high-pressure temperature calibration type optical fiber Fabry-Perot acceleration sensor based on a composite cavity. The acceleration sensor is used for monitoring flow-induced vibration of a heat transfer tube of a pressurized water reactor steam generator in an environment of 350 DEG C and 17.5 MPa. The sensor comprises a packaging base, a gold-plated optical fiber, an optical fiber insertion core, a collimator tube, a spherical lens, a 45-degree dip angle metal reflector, a sensing chip and a sealing cover plate. The sensing chip is of a three-layer sealing structure and is formed by anodic bonding of a glass substrate and a silicon diaphragm; the silicon diaphragm is integrated with eight symmetrical hollow cantilever beams and a central mass block. The composite cavity comprises a vibration cavity (25 [mu] m) and a temperature cavity (400 [mu] m), and the end face of the optical fiber is not used as a reflecting surface, so that spatial separation and temperature compensation are realized. And the symmetrical cantilever beams reduce transverse crosstalk. And a light path is turned by 90 degrees through a 45-degree 4J29 reflecting mirror, and laser welding sealing is performed. The volume is 20 * 10 * 10 mm, the normal-temperature sensitivity is 4.53 nm / g, the inherent frequency is 7418.8 Hz, the transverse crosstalk is 0.281%, the resolution ratio is 4.4 mg, and the measuring range is + / -238 g; drift at the temperature of 350 DEG C and under the pressure of 17.5 MPa for 60 hours; the wavelength is 0.1 nm.

The invention discloses preparation of a magnetic response Pickering emulsion microreactor and application of the magnetic response Pickering emulsion microreactor in enzyme catalysis of ester compounds. The invention provides a preparation method of magnetic agar nanoparticles, which comprises the following steps: reacting prepared Fe3O4 nanoparticles with TEOS and APTMS to obtain Fe3O4-SiO2-NH2 nanoparticles, and then reacting the Fe3O4-SiO2-NH2 nanoparticles with modified agar nanoparticles to obtain the magnetic agar nanoparticles. The magnetic agar nano-particles can be used for constructing a magnetic response type Pickering emulsion, the magnetic response type Pickering emulsion is used for enzyme catalysis of ester compounds, rapid demulsification and oil-water separation of the emulsion can be achieved by utilizing an external magnetic field, and the magnetic agar nano-particles have good reusability and catalytic stability.

This invention relates to the field of autonomous vehicle management and provides a dynamic path planning system and method for autonomous vehicles. The global scheduling module allocates scheduled arrival time windows to vehicles and performs global shaping on traffic flowing into key nodes. The scheduling optimization module calculates a macroscopic path for each vehicle based on time window constraints. The regional collaborative control module, acting as a distributed node, has a collaborative maneuvering unit that locks the requesting vehicle and its associated vehicle set when a vehicle needs to change lanes or turn; the calculation module calculates the optimal vehicle speed, safe space window, and anti-disturbance compensation control quantity, and outputs multi-vehicle collaborative instructions; the cluster coordination unit initiates a consistency control algorithm for the upstream vehicle cluster to smooth out fluctuations when abnormal deceleration waves are detected. This invention achieves a transformation from passive single-vehicle pathfinding to proactive system collaborative scheduling, effectively solving the problems of vehicle convergence congestion, diversion conflicts, and phantom traffic jams in high-density scenarios, thus improving traffic efficiency and stability.

This invention discloses a method for efficiently isolating human parainfluenza virus based on suspended MDCK cells. By using the fully suspended passaged MDCK cell line for human parainfluenza virus isolation and culture and optimizing the inoculation process, single-generation virus amplification can be completed within 3 days, significantly shortening the cycle, improving virus isolation efficiency and success rate compared to traditional adherent culture methods, and enhancing experimental reproducibility. This method not only demonstrates good isolation and culture capabilities for the major subtypes of human parainfluenza virus, but also shows good adaptability to clinical samples from different sources and with different initial loads. In addition, this culture system has linear scale-up potential, is not limited by the surface area of ​​adherent culture, and can meet the large-scale virus seed preparation needs from clinical testing to vaccine mass production, providing key technical support for the integrated process from human parainfluenza virus isolation to vaccine production.

The application discloses a kind of Ce-La composite carrier load Cu-Ni bimetallic photo-thermal catalyst and its preparation method, for the defects of existing pure carrier oxygen vacancy concentration fixed, active metal is easy high-temperature agglomeration, catalytic activity and stability are insufficient, the Ce-La composite carrier is constructed by La doping modification in the application, and Cu-Ni bimetallic is formed 8Cu2Ni / aCebLa catalyst.La exists in the form of La-Ce-O solid solution, significantly improves the carrier oxygen vacancy concentration and activation capacity, while strengthening metal-carrier interaction, anchoring bimetallic particles to inhibit sintering, improve catalyst stability.

The invention discloses a preparation method and application of a nano-emulsion bacteriostatic agent with mango peel as a material, and belongs to the technical field of botanical pesticide preparations, the method comprises the following steps: drying and crushing the mango peel, and extracting with a first polar solvent to obtain a first crude extract; dissolving with a second polar solvent, adjusting the pH value to an isoelectric point, and carrying out ultrasonic-assisted extraction and standing layering to obtain an upper organic phase; removing a solvent to obtain a refined extract, and mixing the refined extract with an emulsifier and water to form a pre-emulsion; and carrying out high-speed shearing and high-pressure homogenization treatment to obtain the nano-emulsion bacteriostatic agent. The invention further provides application of the prepared nano emulsion bacteriostatic agent, the technical problems that an existing plant source bacteriostatic agent is low in active ingredient extraction efficiency, easy to degrade, poor in stability, not prone to uniform dispersion and the like are solved, efficient enrichment and stable encapsulation of the active ingredients are achieved through the integrated extraction, refining and nano emulsification technology, and the bacteriostatic agent has the advantages of being environmentally friendly, free of toxic and side effects and the like. Therefore, the antibacterial effect and the storage stability of the final product are remarkably improved.

The utility model provides a liquid cooling heat radiation structure, the liquid cooling heat radiation structure comprises a cooling housing, the cooling housing comprises a cooling pedestal and a cooling cover plate, the cooling pedestal is connected with a packaging substrate of a chip structure, the cooling pedestal is provided with a through hole, and the cooling cover plate is provided with a through hole. A cooling cavity is defined by the side wall of the through hole and the upper wall face of the chip structure, the cooling cavity is used for introducing a cooling medium, the cooling cover plate is detachably connected with the cooling base, the cooling cover plate is provided with a cooling inlet and a cooling outlet, the cooling inlet and the cooling outlet are both communicated with the cooling cavity, and the chip structure is arranged in the cooling cavity. And the cooling medium enters the cooling cavity through the cooling inlet, is in contact with the chip, exchanges heat with the chip and then flows out of the cooling outlet. The liquid cooling heat dissipation structure has the advantages of being simple in structure and good in heat dissipation effect.

The invention relates to the technical field of distributed storage, and particularly discloses a multi-language-supported intelligent auxiliary method and system for cross-country dual-teacher lesson preparation. The system comprises a teaching resource unified access and preprocessing module, a multi-mode multi-language knowledge graph construction module, a cross-language semantic understanding and resource matching module, a real-time collaborative lesson preparation work space module and a system performance optimization and resource updating module. Intelligent matching and recommendation of teaching resources are achieved through the multi-language knowledge graph and cross-language semantic coding, real-time collaborative editing and machine translation are combined, the problems of resource isomerism, semantic barrier and low collaboration efficiency in cross-country double-teacher lesson preparation are effectively solved, and lesson preparation efficiency and cross-culture teaching adaptability are improved.

The application provides a single-pixel imaging multi-target positioning method based on multi-direction projection optimization, and relates to the field of moving target positioning and tracking, which comprises the following steps: based on prior position information of multiple targets, a Hough transform is used to extract a candidate projection angle set of collinear targets, and clustering analysis is performed on multiple candidate projection angles to obtain a key projection angle set; by using the key projection angle set, a Fourier central slice theorem is used to obtain one-dimensional projection curves corresponding to each key projection angle in the corresponding direction in the target scene; according to the one-dimensional projection curves, projection strips of the targets in the corresponding direction are extracted, combined strips are generated through spatial mapping and splicing, and an image containing a target region is obtained; after morphological filtering processing is performed on the image, position estimation is performed by using a centroid coordinate, and the position positioning of multiple targets is obtained. The application can effectively reduce the projection angle, reduce the measurement times and improve the positioning efficiency under the premise of ensuring the positioning accuracy.