229results about How to "Improve fineness" patented technology

The invention relates to the technical field of unmanned aerial vehicles, in particular to a flight mission planning and management system and method for cooperation of multiple unmanned aerial vehicles, and the method comprises the steps: decomposing a flight region of an unmanned aerial vehicle based on a flight mission of the unmanned aerial vehicle, and dividing the flight region; path planning is carried out in the flight area of the unmanned aerial vehicle, global flight path planning is carried out by adopting a genetic algorithm, and local flight path planning is carried out by adopting an A * algorithm after the global path planning; an obstacle avoidance strategy of the unmanned aerial vehicle in the flight process is constructed, and after the obstacle avoidance strategy is triggered, local flight path planning is carried out again; according to unmanned aerial vehicle flight task constraints, a priority judgment criterion of multiple unmanned aerial vehicle tasks is formulated, and unmanned aerial vehicle resources are allocated and dispatched. The intelligent level of unmanned aerial vehicle task planning can be remarkably improved, the adaptability to complex environments is enhanced, flight safety and efficient task execution are ensured, and a landing technical support is provided for actual application of the unmanned aerial vehicle.

The invention provides an intelligent statistical analysis method and system for the implementation progress of a production project, and the method comprises the steps: carrying out the initial classification of all task lists in the production project, and constructing a directed acyclic task graph according to the initially classified task lists to represent the dependency relationship between tasks; performing data acquisition on the execution state of the task according to the initial monitoring granularity of each task, and judging whether the actual progress of each task deviates from the planned progress or not according to the acquired data; behavior data of each project role is collected, then the behavior deviation of each role is calculated based on regularization, the cooperation efficiency among the roles is calculated according to the behavior deviation of each role, and then task allocation and progress management are dynamically adjusted. Re-optimizing the task priority and resource allocation according to a dynamic adjustment result; and feeding back to a project manager after the optimization task is executed, and providing intelligent decision support. The system has higher intelligence and real-time reaction capability.

The invention belongs to the technical field of live-action three-dimensional model construction, and particularly relates to a live-action three-dimensional model construction method based on ground multi-source heterogeneous point cloud fusion. The method comprises the steps of unmanned aerial vehicle image acquisition and three-dimensional modeling, ground multi-source heterogeneous point cloud data acquisition, ground multi-source heterogeneous point cloud registration, ground fusion point cloud processing, and unmanned aerial vehicle image three-dimensional model and ground fusion point cloud space registration and fusion modeling. According to the method, the unmanned aerial vehicle image and the ground multi-source heterogeneous point cloud are fused, so that the problem of detail missing in large-range scene modeling is solved. The high precision of the ground point cloud and the wide coverage of the unmanned aerial vehicle image are combined, and the integrity and fineness of the model are significantly improved. In addition, the point cloud color endowing technology enhances the sense of reality of the model, and provides efficient and reliable technical support for the fields of smart cities, cultural heritage protection and the like.

The invention relates to the technical field of film processing, and particularly discloses a plastic film processing waste recovery device which comprises a recovery box, a feeding port is formed in the top end of the recovery box, and the recovery box comprises a primary crushing mechanism used for primary crushing and a cleaning mechanism used for preventing winding. In the using process, through mutual cooperation of the primary crushing mechanism and the secondary crushing mechanism, waste materials can be further crushed into smaller shapes, gradual refining treatment on the waste materials can be achieved in a multi-stage crushing mode, the crushing uniformity and fineness are improved, the quality of recycled products is improved, and the recycling efficiency is improved. Through mutual cooperation of the primary crushing mechanism and the cleaning mechanism, waste remaining in notches between the crushing teeth can be scraped away in time, so that cleanliness between the crushing teeth is kept, it is guaranteed that the crushing rollers can continuously and efficiently conduct crushing work, normal operation of equipment is guaranteed, the shutdown maintenance time is shortened, and the production efficiency is improved. And the working efficiency and the reliability of the device are improved.

The invention belongs to the field of food processing equipment, and particularly relates to a meat paste making device for food processing, which comprises a base plate and the like, the base plate is an assembly carrier of the device, the two supporting columns are symmetrically and fixedly connected to the base plate, the supporting seat is installed on the two supporting columns in a sliding mode, and a plurality of limiting blocks are annularly arranged on the top face of the supporting seat at intervals. The discharging barrel is placed on the supporting seat through the limiting block, an opening is formed in the top of the discharging barrel, and the discharging barrel is a muddy meat making container; the hammering mechanism is arranged at the upper parts of the two supporting columns, and the hammering mechanism is used for hammering meat paste in the discharging barrel. Minced meat is hammered alternately through two hammering blocks in the hammering mechanism, the making efficiency of the minced meat in the discharging barrel is effectively improved, the discharging barrel can be gradually lifted along with hammering of the minced meat in cooperation with the lifting mechanism, it is ensured that the hammering blocks can effectively act on the minced meat in the whole hammering process, and the problem that hammering is not in place is avoided.

The invention discloses an intelligent directional and quantitative smell generation method in virtual reality olfaction interaction, and relates to the technical field of virtual reality. The invention provides an intelligent, directional and quantitative smell generation method in order to solve the technical problems that in smell generation work in virtual reality in the prior art, the variety and generation precision of smell are limited, an accurate smell concentration control mechanism is lacked, and interactive linkage with user actions and a virtual environment is lacked. In combination with an odor molecule dynamic combination technology, a deep learning prediction model, closed-loop concentration control and a spatial orientation transmission system, richer, personalized and immersive olfactory interaction experience is provided. Comprising a smell synthesis module, a digital smell control unit, an intelligent smell prediction model, a directional smell transmission system and a virtual wind field simulation module. The method is suitable for being applied to the work of intelligent directional and quantitative smell generation in virtual reality olfaction interaction.

The invention provides a combined fleet intelligent early warning method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining fleet navigation data, route sea condition data and cargo state data of a fleet, calculating the shaking angle of a ship body when the ship passes through a preset route according to the fleet navigation data and the route sea condition data, and calculating the cargo state of the ship according to the calculated shaking angle; according to the ship body state data and the cargo state data, the cargo gravity center position is determined, the gravity center deviation between the cargo gravity center and the ship gravity center is obtained, and the cargo stability of the cargo is calculated. Analyzing whether the cargo has a risk of leaving the storage position, obtaining a cargo risk assessment result, identifying a high-risk leg on a preset route and the cargo with potential safety hazards, generating early warning information, avoiding the high-risk leg, adjusting the preset route, and generating a safe route. Intelligent early warning can be carried out according to the sea condition data.

The invention provides a hollow slab internal mold construction system, and relates to the technical field of building construction. A first construction result acquisition module; the initial construction parameter optimization module is used for scanning the first construction result through a laser scanner, analyzing and determining first concrete compactness deviation and first construction deviation, optimizing initial construction parameters and determining first optimal construction parameters; and the construction operation module is used for executing the construction operation of the second pouring interval according to the first optimal construction parameters until the preset construction period is completed. By means of the method, the technical problems that in an existing method, due to the fact that accuracy and timeliness of construction parameter regulation and control are insufficient, overall construction errors are seriously accumulated, and overall construction quality is affected can be solved, pouring parameters and vibration parameters can be rapidly and accurately adjusted, construction management and control fineness and intelligence are improved, and construction efficiency is improved. Therefore, the problem of construction regulation lag is effectively solved, and the construction precision and the construction quality are remarkably improved.

The invention relates to the technical field of electricity meter scrap treatment, and discloses an electricity meter scrap crushing and sorting treatment device which comprises a machine body, a motor is fixedly connected to one side of the machine body, two crushing rollers are rotatably connected to the top in the machine body, and a first circular gear is fixedly connected to the side, away from the motor, of each crushing roller; the output end of the motor is connected with one of the crushing rollers, the two first circular gears are meshed, a rolling assembly, a separating assembly and a screening assembly are sequentially arranged in the machine body from top to bottom, a transmission assembly and a reciprocating assembly are arranged on the outer wall of the machine body, the rolling assembly comprises a rotating shaft, a rolling box and a fixing plate, and the rotating shaft is connected with the rolling box. And the rotating shaft is rotationally connected to the inner wall of the machine body. And through cooperation of the rotating shaft, the first bevel gear and the second bevel gear, the rolling rollers generate periodic left-right rolling action in the rolling box, the crushed materials are subjected to secondary rolling, and the particle size of the materials is refined.

The invention discloses a passable area detection method based on multi-sensor feature level fusion, and the method comprises the following steps: collecting radar point cloud data and RGB image data of a plurality of driving areas through employing a laser radar and a vehicle-mounted camera, and constructing an original data set; constructing a depth map based on the collected radar point cloud data; constructing a training data set based on the RGB image and the depth map; constructing a passable area detection model, and training the model by using the training data set; and 4, executing the step 1 and the step 2 for a to-be-detected driving area, then detecting the to-be-detected driving area by using the passable area detection model trained in the step 4, and identifying the passable area in the to-be-detected driving area. According to the passable area detection method, the detection performance of the model can be improved, the capturing capability of the model on data details is enhanced, and then the detection precision of the passable area is improved.

The invention discloses a three-dimensional model generation method based on a text cue word, and the method comprises the steps: predicting a distance sign function SDF through a constructed neural network according to a dynamically optimized random sampling camera posture and an illumination vector, and carrying out the volume rendering, and obtaining an initial rendered image; through a pre-trained diffusion model, the rendering image quality and the signed distance function prediction accuracy are improved according to the encoded text cue word information; and through the trained neural network, predicting rendering colors and a signed distance function according to known observation point coordinates, obtaining three-dimensional model surface point cloud data in an interpolation mode, and finally generating a three-dimensional model format file. According to the method, the problems that a professional needs to apply professional software to construct the three-dimensional model, time is long and the like are effectively solved, the three-dimensional model constructed through the method can be directly printed through three-dimensional printing equipment, and finally a three-dimensional object entity associated with the text cue word can be obtained.

The invention relates to the technical field of generative image restoration, in particular to a defect restoration method for a three-dimensional reconstruction model of a porous structure, which comprises the following steps: generating a basic three-dimensional model of a target object according to a target resolution; scanning a target object and determining a corresponding to-be-repaired area; according to the target depth of the to-be-repaired area, determining a corresponding repair focus and a repair resolution; generating a repair container, and placing the geometric center of the repair container on the repair focus; filling the repair container with the repair resolution according to a preset sequence, and generating a plurality of repair models; identifying feature points of each repair model and the basic three-dimensional model, and merging the repair models into the basic three-dimensional model according to the similarity of the feature points; according to the method, the corresponding repairing features are selected, the model for repairing is merged into the target model according to the features, and edge smoothing processing is performed, so that the integrity of the model with the holes is effectively improved while the quality of the model is improved.

The invention discloses a multi-stage grain grinding device and a method thereof, and relates to the field of grain grinding equipment. Comprising a grinding rack, a crushing mechanism, a grinding mechanism and a feeding mechanism, the grinding rack comprises a machine shell, a crushing chamber and a grinding chamber which are communicated through a material guide plate are arranged in the machine shell, and the height of the crushing chamber is larger than that of the grinding chamber; the crushing mechanism is mounted in the crushing chamber and can crush grains, and the crushed grains can be conveyed into the grinding chamber through the guide plate; the grinding mechanism is arranged in the grinding chamber and comprises a grinding head and a grinding seat which are arranged up and down, and the grinding head can grind the crushed grains in the grinding seat through rotation; the feeding mechanism is arranged below the grinding base and can drive the grinding base to move up and down in the axial direction. According to the grinding method based on the multi-stage grain grinding device, the required fineness can be achieved without long time, and the production efficiency is improved.

The invention discloses a preparation method of high-specific-surface-area, high-dispersion and high-purity nano calcium carbonate, which comprises the following steps: S1, calcining limestone, digesting the lime and water in proportion, and screening to remove gravel; s2, ammonium salt or ammonia water is added into the obtained lime slurry, and the solid content is adjusted; s3, layering the lime slurry after standing, and then concentrating to obtain concentrated lime slurry; s4, putting the concentrated lime slurry into a carbonization tower, and carrying out carbonization reaction by controlling the temperature, the stirring rate, the carbon dioxide concentration and the carbon dioxide flow; s5, when over-carbonization is achieved, obtaining a nano calcium carbonate suspension; s6, standing and settling the suspension, and removing upper-layer water to enable the solid content to be within a certain range; and S7, adding stearic acid into the suspension liquid for surface modification, and carrying out filter pressing, drying, crushing and sieving on the obtained suspension liquid to obtain the nano calcium carbonate powder. The method is low in raw material cost, economical, environmentally friendly, simple in control step, short in carbonization time, high in production efficiency and convenient for industrialization.

The invention discloses an electromyographic signal gesture recognition method based on adaptive multi-scale double-flow feature fusion, and relates to the technical field of human physiological signal decoding. In order to make full use of modal information in sEMG, when a network is designed, a double-flow architecture is designed to carry out parallel processing on time sequence features and frequency domain features, multi-dimensional information of sEMG signals is fully used, a time sequence feature processing module is responsible for capturing the time dynamic state of the signals, and a frequency domain feature processing module is responsible for capturing the frequency domain features of the signals. The method ensures that the algorithm has agile response capability when identifying rapid actions or short-time changes, a frequency domain feature processing module focuses on frequency domain features of signals, and a proper frequency band is selected through a self-adaptive feature fusion module, so that muscle physiological features reflected in different frequency bands are extracted, and the recognition accuracy of the muscle physiological features is improved. According to the structure, the algorithm not only can effectively cope with electromyographic signal differences among individuals, but also can extract key features beneficial to recognition of complex gestures from frequency domain information, so that the fineness and robustness of gesture recognition are remarkably enhanced.

According to the uniform and fine grinding structure, the relative position between a grinding wheel and a pipe is fixed through an adjusting assembly, the surface of the pipe is ground through a grinding assembly, and a lifting handle drives the whole device to rotate around the central axis of the pipe; and therefore, the surface of the pipe can be uniformly and finely ground twice. The grinding device is characterized in that the grinding device is composed of a grinding assembly and an adjusting assembly, the grinding assembly is composed of arc-shaped baffles, a protection plate, a connecting plate, a first grinding motor, a first grinding wheel, a second grinding motor and a second grinding wheel, the two arc-shaped baffles are fixedly arranged at the two ends of the protection plate respectively, the protection plate is of a U-shaped structure, and a threaded hole is formed in the middle of the protection plate; brushes are arranged on the two side edges of an opening of each arc-shaped baffle, connecting plates are fixedly arranged at the two ends of each arc-shaped baffle, and the first grinding motor is fixedly arranged on the connecting plate corresponding to one arc-shaped baffle.

The invention discloses a straw powder filled biodegradable composite material and a preparation method thereof, and relates to the technical field of biodegradable composite materials, the preparation method of the biodegradable composite material comprises the following steps: S1, pretreating straw; s2, impurities are removed through winnowing; s3, removing magnetic impurities; s4, cleaning and drying; s5, performing high-pressure steam treatment; s6, drying in the oven and crushing again; s7, adding into a high-speed mixer and mixing; s8, extruding the biodegradable composite material, and cooling and shaping the biodegradable composite material; and S9, cutting and polishing are conducted, and performance testing is conducted. The biodegradable composite material is prepared from agricultural waste, waste accumulation is reduced, sustainable development is promoted, the straw powder filled biodegradable composite material has biodegradability, high strength and good processability, and the straw powder filled biodegradable composite material is suitable for large-scale production. The problems of reducing agricultural wastes, enhancing mechanical properties and environmental protection performance, improving processability and reducing raw material cost can be solved.

The utility model relates to the technical field of grinding devices, and discloses a high-fineness printing ink grinding device which comprises an outer cylinder, one end of the upper side of the outer cylinder is fixedly connected with a feeding port, the outer side of the lower end of the outer cylinder is fixedly connected with a discharging port, the outer side of the end, away from the outer cylinder, of the discharging port is rotationally connected with a cabinet door, and the upper end of the outer cylinder is fixedly connected with a rotating assembly. The outer side of the lower end of the rotating assembly is fixedly connected with a rolling assembly, and the end, away from the rotating assembly, of the rolling assembly is rotationally connected with a limiting assembly. Then the rotating assembly drives the grinding assemblies to operate under the assistance of the limiting assembly, so that the printing ink raw materials are ground by means of the multiple grinding assemblies, the printing ink raw materials can be ground for multiple times, the grinding strength is enhanced, omission caused by insufficient grinding strength is reduced, and the grinding fineness is further improved.

The invention discloses a tooth CBCT image three-dimensional segmentation method and system, and relates to the technical field of image segmentation, and the method comprises the following steps: data collection and processing, image preprocessing, image registration, feature extraction and fusion, three-dimensional segmentation model construction and training, and segmentation effect evaluation. According to the method, dynamic MRI examination and generative adversarial network are introduced to generate virtual data, multi-task learning is combined, multiple modes and multi-time-point data are comprehensively utilized, analysis of soft tissue peripheral information is indirectly enhanced, and soft tissue lesion diagnosis is assisted; the dynamic change of teeth and surrounding tissues can be better captured through the attention to dynamic features in multi-time-point data acquisition, dynamic MRI image preprocessing, feature extraction and fusion and the synergistic effect of model training and evaluation links, and the limitation of CBCT as a static imaging technology in the aspect of evaluating dynamic related disease diagnosis and treatment effects is overcome.

The invention relates to the technical field of computer vision, and discloses a camouflage target detection method based on cascade frequency domain perception and refinement feature guidance, comprising the following steps: a computer device obtains a camouflage image and extracts a multi-scale feature map; performing frequency domain separation by using a frequency domain sensing module, generating low-frequency and high-frequency characteristic sub-bands, and performing cross-hierarchy aggregation from bottom to top through a cascaded frequency domain sensor to obtain frequency fusion characteristics; receiving the frequency fusion features from top to bottom by using an aggregation guide decoding unit, performing guide refinement in combination with the deep decoding features, adapting to irregular edges by using a variable kernel convolution strategy in the refinement process, and generating a prediction feature map in combination with a partial convolution strategy; and outputting the predicted feature map as a detection result. According to the invention, through frequency domain information complementation and dynamic convolution refinement, the problem of difficult detection caused by highly similar texture of the camouflage target and the background is solved, and the positioning accuracy and edge segmentation integrity of the camouflage target are improved.

The invention discloses an encrypted communication threat real-time sensing and authentication traceability method and system, and relates to the technical field of communication threat sensing, and the method comprises the steps: collecting and analyzing malicious encrypted traffic behavior characteristics; threat events are analyzed based on the semantic analysis ability, and the homology of threat multi-source multi-dimensional intelligence data is analyzed; and testing the advanced threat dynamic defense capability based on mimicry defense, and displaying a threat linkage disposal and attack link diagram of malicious encrypted traffic. According to the encryption communication threat real-time perception and authentication traceability method provided by the invention, encryption hidden traffic is comprehensively identified, monitored, detected and analyzed through threat event analysis based on semantic analysis capability, the capability of coping with advanced threat means is enhanced, threat multi-source and multi-dimensional intelligence data homology analysis is carried out, and the intelligence fineness and effectiveness are improved. The method has better effects in the aspects of applicability, accuracy and effectiveness.

The invention provides a three-dimensional scene reconstruction and real-time positioning method and system.Three-dimensional scene data are collected through a monocular camera, a binocular camera or an RGB-D camera, feature point cloud is constructed through the ORB SLAM3 technology, rotation, zooming and other information are obtained, after data are collected, three-dimensional scene reconstruction is achieved through processing of the 3D Gaussian spattering technology, and real-time positioning of the three-dimensional scene is achieved. In the positioning process, feature points collected by ORB SLAM3 are compared, the optimal feature point position in the current scene is matched and fed back, and real-time positioning is achieved. The system supports high-simulation visual display of the local map and real-time positioning, is suitable for unmanned vehicle cruising, unmanned aerial vehicle inspection and intelligent robot positioning, and has the advantages of being high in practicability and wide in application range. And high-precision three-dimensional scene reconstruction and real-time positioning functions are provided.

The embodiment of the invention provides a video retrieval method, and the method comprises the steps: obtaining N videos, segmenting the videos, and obtaining video slices of the videos, N being a positive integer; multiple pieces of modal information of the video slices are obtained, and the modal information comprises visual modal information, audio modal information and text modal information; constructing a video retrieval library based on the multiple pieces of modal information and the video slices; and obtaining video retrieval information, and determining a target video slice corresponding to the video retrieval information in the video retrieval library based on the multiple pieces of modal information. According to the technical scheme, multi-modal information can be fused for video retrieval, the accuracy of video retrieval is improved, meanwhile, fine-grained retrieval is achieved, and the retrieval fineness is improved.

The invention relates to the field of food additive processing, and particularly discloses a compound emulsifier for enhancing the stability of cake batter and a preparation method of the compound emulsifier for enhancing the stability of the cake batter. The preparation method comprises the following steps: preparing the following components in parts by weight: 20-30 parts of diglycerol fatty acid ester, 20-35 parts of polyglycerol fatty acid ester, 10-20 parts of sucrose fatty acid ester, 1-2 parts of xylitol fatty acid ester coated fucoidin, 20-40 parts of water, 1-2 parts of loading oat dietary fiber and 2-8 parts of propylene glycol; the preparation method comprises the following steps: mixing the mono-glycerol fatty acid ester, the diglycerol fatty acid ester, the polyglycerol fatty acid ester, the sucrose fatty acid ester, the water and the propylene glycol, and uniformly stirring and mixing at 80-85 DEG C to obtain a primary mixture; and then adding xylitol fatty acid ester coated fucoidin and loaded oat dietary fibers at 72-74 DEG C, continuing to uniformly mix, and then filling and cooling to obtain a finished product. The device has the advantage of improving the uniformity and stability of cake batter foam.

The invention relates to the technical field of gluing printing, in particular to a high-temperature-resistant insulating protective film gluing printing technology which comprises a PET film and a PI film, the PET film and the PI film are connected through UV gluing, and the high-temperature-resistant insulating protective film gluing printing technology is implemented through gluing printing equipment. The PET film and the PI film are connected through the UV gluing technology, the PET film is known as good mechanical strength and weather resistance, the PI film has high temperature resistance and insulation performance, the high-temperature-resistant insulation protective film is obtained through combination of the PET film and the PI film, and the stability in the electrical insulation and high-temperature environment is excellent. In addition, PI has the characteristic of high temperature resistance, PET has the characteristic of insulation, and the PI film and the PET film are tightly laminated through UV glue coating, so that the product has the double-layer characteristics of fire prevention and insulation.

The utility model relates to the field of light-emitting devices, and discloses an LED device for a backlight source, the LED device comprises a support, an LED chip with the surface plated with a distributed Bragg reflection layer, a surrounding part and a packaging body, the packaging body is hemispherical, and the light-emitting angle range of the LED chip with the surface plated with the distributed Bragg reflection layer is 150-160 degrees; the LED chip of which the surface is plated with a distributed Bragg reflection layer, the enclosure part and the packaging body are fixed on the bracket; the surrounding part surrounds the periphery of the LED chip of which the surface is plated with the distributed Bragg reflection layer; the packaging body covers the surface, away from the support, of the LED chip, wherein the surface of the LED chip is plated with the distributed Bragg reflection layer. The LED chip with the light-emitting angle ranging from 150 degrees to 160 degrees is matched with the hemispherical packaging body, the effect of a lens is achieved, the light-emitting angle of the device can reach 180 degrees, the light-emitting angle of the light-emitting device is increased, other lenses do not need to be matched, the size is small, and the display device can be light and thin.

This invention discloses a gravure printing ink composition and its preparation method. The ink, by weight, comprises: 15-35 parts chlorinated polypropylene, 10-20 parts EVA-40W, 4-8 parts rosin-modified resin, 0.3-0.8 parts polyketide resin, 0.1-0.3 parts chlorinated ether resin MP45, 0.3-0.8 parts silica, 0.05-0.15 parts antistatic agent, 0.2-0.5 parts dispersant, 0.1-0.3 parts modified aluminum silicate AM660, 8-12 parts benzidine yellow, 6-10 parts fast red BHXL-T, 3-5 parts permanent orange yellow No. 13, 3-7 parts calcium powder, and 30-50 parts mixed solvent. During preparation, each resin is pre-dissolved separately, then mixed with pigments, additives, etc., and ground to a fineness ≤15μm. The ink of this invention has bright colors, good light resistance, excellent adhesion, antistatic properties, and printability, and is particularly suitable for gravure printing on polyolefin films.

The invention provides an F-P spectral imaging system and method, and belongs to the technical field of spectral component measurement, and the system comprises a front lens which is used for collecting light energy and converting the light energy into emergent light meeting the limitation of the clear aperture of an F-P interferometer; the annular band optical filter comprises a central area and a plurality of concentric annular areas surrounding the central area, the bandwidth of each area is the same as the free spectral range of the F-P interferometer, and the annular band optical filter is used for eliminating level aliasing in emergent light of the front lens; the F-P interferometer is used for carrying out wavelength selection on emergent light of the annular band optical filter and outputting an interference field; the imaging mirror is used for projecting the interference field to the detector; and the detector is used for converting the projected optical signal into a digital electric signal. The F-P spectral imaging system which can maintain high spectral resolution and also can realize wide spectrum coverage is constructed by introducing the annular band optical filter which is accurately matched with the FSR of the F-P interferometer.