99results about How to "Easy to divide" patented technology

The invention relates to the technical field of engineering simulation, and provides a self-adaptive grid generation method and device based on strain energy density error estimation, in the method, error estimation is carried out by utilizing first strain energy density of a model to be analyzed, a first estimation error of the model to be analyzed can be evaluated more accurately, and then grid division is optimized. The to-be-refined region is refined layer by layer, so that the problem of sudden change of the grid can be avoided, the stability and reliability of a simulation result are improved, the region with higher precision requirement in the initial grid can be refined, the unimportant region is kept unchanged, the calculation amount is greatly reduced, and the calculation efficiency is improved while the calculation precision is ensured. The method improves the calculation efficiency, improves the simulation efficiency, reduces the consumption of calculation resources, and achieves the efficient generation and optimization of a target grid.

The utility model provides a cheese whey squeezing device, relates to the technical field of cheese squeezing, and solves the problems that a mechanism for squeezing cheese is lacked, the separation time of whey is long, the squeezing efficiency is low, the cheese is inconvenient to squeeze and form, the cheese is inconvenient to be cut into small blocks with regular shapes for storage and packaging in the next step, and the production cost is low. Meanwhile, cheese is stacked on the surface of a filter screen and cannot be collected at a time, and the cheese collecting efficiency is low. The device comprises a pressing table, the pressing table is hollow, an extrusion assembly is installed at the upper end of the side face of the pressing table, a jacking assembly is installed in the pressing table, a through hole is formed in the upper surface of the pressing table, and the upper portion of the jacking assembly penetrates through the through hole. Through the arrangement of the squeezing assembly, the squeezing efficiency is improved, cheese is squeezed and formed, the cheese can be conveniently cut in the next step, through the arrangement of the jacking assembly, the cheese can be conveniently collected at a time, and the collection efficiency is improved.

The invention relates to the technical field of underground engineering tunnel face information extraction, and discloses an information extraction method for an underground engineering tunnel face rock mass structural plane, and the method comprises the steps: extracting the normal vector of each point from the original point cloud data of the underground engineering tunnel face rock mass structural plane, inputting the converted normal vector into a BIRCH algorithm for clustering to obtain a dominant structural plane category; taking the types of the dominant structural surfaces as input, executing a DBSCAN algorithm on the point cloud of each type of dominant structural surfaces, and segmenting the dominant structural surfaces into independent structural surfaces; performing plane fitting on the independent structural plane by using an RANSAC algorithm to obtain a plane fitting equation, and calculating an inclination angle and an inclination direction of the structural plane according to the plane fitting equation; according to the method, point cloud data provides a rich information source for rock mass structure analysis, an independent structural plane is accurately recognized, and tunnel face rock mass structural plane information is reasonably extracted.

The invention relates to the technical field of rice quality detection, in particular to a head rice rate online detection method and system based on machine vision, and the method comprises the steps: obtaining an initial binary image of a rice image; intelligently screening a rice grain adhesion region in the initial binarized image by using a BP neural network to obtain a to-be-segmented binarized image; segmenting each rice grain adhesion region in the to-be-segmented binary image by using a multi-distance transformation watershed segmentation method to obtain a first segmentation result image; segmenting a rice grain adhesion area in the first segmentation result image by using an angle limitation concave point matching segmentation method to obtain a second segmentation result image as a final segmentation result image; and obtaining the length of each rice grain in the rice image on the basis of the obtained segmentation result image by using a minimum bounding rectangle method so as to calculate the head rice rate of the rice image. According to the method, the segmentation accuracy is improved, the segmentation method is high in applicability, and subsequent measurement of characteristic parameters of single-grain rice is facilitated.

The invention discloses an oral cavity panoramic X-ray image tooth segmentation method based on deep learning. The method comprises the following steps: preprocessing data of an oral cavity panoramic X-ray image; designing and constructing an oral cavity panoramic X-ray image segmentation network model; constructing an evaluation system of the instance segmentation model; constructing a self-training iterative model method; training and obtaining an oral tooth segmentation model with the optimal precision on the verification set; inputting a label-free oral panoramic X-ray image into the trained oral tooth segmentation model, and reasoning the image to complete mask segmentation; and the oral tooth reasoning result is visualized. According to the method, the segmentation model with excellent performance can be obtained only by publicly annotating the data set without additional annotation of clinical experts, and the method has the advantages of high efficiency, high precision, good objectivity, stable repeatability and the like.

The invention belongs to the technical field of hydraulic engineering, and provides a sediment particle size distribution measuring system and method.The method comprises the steps that images of sediment particles in a water body are collected, and a first sediment particle image is obtained; processing the first sediment particle image to obtain a sediment grayscale image; a K-means clustering algorithm is adopted to carry out clustering analysis on the sediment gray level image, and an image with a first-level clustering result is obtained; carrying out clustering analysis on sediment particles with particle sizes smaller than a preset threshold value in the image with the first-level clustering result by adopting a DBSCN clustering algorithm to obtain an image with a second-level clustering result; and carrying out edge detection on the sediment particles in the image with the secondary clustering result, and then sequentially carrying out binarization processing, equivalent circle diameter transformation and statistics on the particle size distribution of the sediment particles to obtain a particle size distribution result. The problem that an existing sediment particle size measurement system is low in measurement precision in a complex underwater environment with dense sediment and more fine particles is solved.

The invention provides a large-scale forest individual tree instance segmentation method and device based on laser radar point clouds, and the method comprises the steps: carrying out the voxelization processing of a forest point cloud to be subjected to individual tree instance segmentation, and obtaining a plurality of target voxels; obtaining voxel features, offsets and semantic tags of the target voxels according to a pre-trained sparse convolutional neural network backbone model; constructing an offset space according to the offset; determining a rough instance mask corresponding to each individual tree instance in the forest point cloud to be subjected to individual tree instance segmentation according to each target voxel and a predetermined average voxel number corresponding to individual tree instances of different tree species; determining coordinates and features of initial query vectors corresponding to the individual tree instances according to the rough instance masks; determining super-points, super-point features and super-point space coordinates corresponding to the forest point cloud to be subjected to individual tree instance segmentation; and based on a pre-trained model, the super-point features, the super-point space coordinates and the initial query vectors, obtaining a segmentation result, and realizing high-quality segmentation.

The invention discloses an automatic driving scene adaptive single object three-dimensional reconstruction and image point cloud synthesis method, and relates to the technical field of automatic driving scene data production. The method comprises the following steps: respectively projecting each vertex of a box of a target object in a three-dimensional space to each frame, then carrying out image segmentation, setting the opaqueness of a part except the segmented object to be 0, taking the part as training input, and supervising the object by using the opaqueness; rendering is carried out in combination with the parameters of Scaffold-GS and the adaptive parameters of the camera to obtain a rendered image, and training loss is calculated to update the Gaussian point cloud; the camera poses of the first frames of the training scene and the target scene are aligned to determine the placement position of the target object, then the target object is rendered to obtain the multi-view object image, and the multi-view object image can be directly pasted with the target scene image. According to the method, the single object three-dimensional representation without edge blur is generated, and the object is rendered in the target scene.

The invention relates to a lightweight semantic segmentation method for strawberry flower and fruit recognition in a complex scene, and the method comprises the following steps: obtaining a data set of strawberry images, and carrying out the image collection of strawberry flowers and fruits in a scene covering different illumination, time and plant states; carrying out data processing, and carrying out classification and mask labeling on the screened strawberry images; a deep and narrow backbone network is designed, and data features of rich and complex strawberry images are obtained; introducing more attention to the boundary of the strawberry image through an edge attention mechanism guiding model to obtain a clear edge; a pyramid pooling module is introduced at a de-wharf, and global information is perceived by aggregating strawberry image features of different scales; the strawberry image is segmented through the convolutional neural network, so that strawberry image segmentation in a complex environment is dealt with, and the lightweight and accuracy of the model are improved.

The invention discloses a lithium battery thermal runaway early warning method based on a stress signal, and belongs to the field of lithium battery safety. According to the method, the surface stress of the battery is monitored, and a novel thermal runaway early warning method is provided. A thin film pressure sensor is arranged on the surface of a battery in advance, the stress change in the thermal runaway process is divided into four stages of exponential growth, linear growth, sudden drop and rebound, and a turning point of stress from the exponential growth to the linear growth corresponds to a turning point of stress change rate from the linear growth to a platform. And early warning can be carried out 30 minutes in advance of thermal runaway. Compared with a traditional early warning method, the early warning time is greatly shortened, and more time is provided for personnel evacuation and rescue. Besides, according to the stress distribution condition of the surface of the battery, guidance is provided for the layout of the pressure sensors, and the cost is greatly reduced.

The invention provides a leakage sound wave noise reduction method and system based on a wavelet packet threshold and VMD, and belongs to the field of filtering noise reduction. The method comprises: acquiring a leakage sound wave acquisition signal; screening key factors of a wavelet packet threshold method based on a high signal-to-noise ratio, and performing multi-scale decomposition on the leakage sound wave acquisition signal based on each factor to obtain a preprocessed signal; an adaptive weight factor and a local disturbance and global jump variation strategy are introduced into the original whale algorithm to form an enhanced whale algorithm; taking the minimum envelope entropy as a fitness function, and adopting an enhanced whale algorithm to optimize a VMD method to obtain an optimal parameter combination; optimizing variational mode decomposition by adopting an optimal parameter combination, and decomposing the preprocessed signal to obtain an intrinsic mode function component; and screening and reconstructing the intrinsic mode function component to realize noise reduction of leakage information. By combining a wavelet packet threshold method with variational mode decomposition, noise can be efficiently reduced, leakage sound wave features can be accurately extracted, and the signal analysis quality is improved.

The invention discloses a camouflage target detection method based on multi-dimensional polarization information. The method comprises the following steps: 1, acquiring a polarization image data set with pixel-level labels; 2, processing the four original polarization angle images, learning the exclusive weight of the feature of each image through a polarization dynamic attention module, extracting polarization information and structure details at the same time, and fusing the polarization information and the structure details with the original images; and 3, constructing a deep convolutional neural network based on multi-dimensional polarization information, inputting the fused image, and training the deep convolutional network to obtain an accurate camouflage target detection result. Under a reasonable data model condition, scene representation with rich textures and rich edge details is generated by utilizing correlation and difference of group polarization images, so that the problem that the detection effect of a camouflage target is influenced due to the fact that DoLP may be very weak or does not exist under certain illumination conditions can be effectively solved.

The invention relates to the technical field of image segmentation, and particularly discloses a bridge crack segmentation method based on YOLOv8n-seg, which comprises the following steps: acquiring a bridge crack image, labeling the acquired bridge crack image and making a data set, respectively adding a C2fDCNv2 module and a CBAM attention mechanism into a backbone network and a detection head of a YOLOv8n-seg model to obtain an improved YOLOv8n-seg model, and segmenting the bridge crack by using the improved YOLOv8n-seg model. And under the supervision of a loss function, training the improved YOLOv8n-seg model by using the data set to obtain a bridge crack segmentation model, re-collecting a bridge crack image, and inputting the bridge crack image into the bridge crack segmentation model to obtain a segmentation result which is an image marking all bridge cracks. According to the invention, the detection precision of small targets such as bridge cracks is high, the manual labor is reduced, the cost is low, and the bridge cracks can be efficiently and accurately detected.

The invention relates to the field of cable quality detection, in particular to a few-sample cable production surface defect detection method and device and a medium. The method comprises the following steps: firstly, loading a Resnet50 model pre-trained by an ImageNet data set, and migrating the universal feature extraction capability of the model learned from a big data set to the method; introducing a channel-space attention mechanism to enhance the perception capability of the model on the surface defect characteristics of the cable; performing structure and distribution modeling on the positive sample features through unsupervised learning, and constructing a positive sample feature library; in the detection stage, abnormal features are detected by comparing the difference between the test image features and the positive sample library, and then the detected abnormal feature heat map matrix is input into the self-adaptive threshold interception module to obtain a defect detection result. According to the method, the requirement for the data size is reduced, the cable defect detection requirement in a few-sample scene is met, and the false detection rate is effectively reduced based on the self-adaptive threshold interception method.

The invention discloses a method for rapidly realizing crystallographic orientation imaging in a transmission electron microscope. The method comprises the following steps: collecting conical scanning dark field images of front 8-10 diffraction rings under inclination angles of 3-5 samples through the transmission electron microscope; carrying out drift correction on the dark field images under different sample inclination angles and then carrying out binaryzation on all the dark field images; building an incident electron beam conical scanning model, simulating electron diffraction patterns of any orientation under different sample inclination angles, and building an electron diffraction pattern database; reconstructing a diffraction pattern of each pixel in the dark field image under the same sample inclination angle, and calibrating orientations of all the pixels; and completing orientation calibration of all pixels in combination with data of multiple sample inclination angles. The rapid characterization of the grain orientation is realized based on the transmission electron microscope conical scanning dark field imaging technology and the crystallographic orientation calibration algorithm, and the method is suitable for the crystallographic orientation characterization of the crystal material under the transmission electron microscope.

The utility model discloses an aeration device for a sewage purification grit chamber, which comprises a main pipeline, a plurality of branch pipelines, a plurality of aeration devices and a plurality of aeration devices, wherein the branch pipelines are uniformly distributed on the side wall of the main pipeline along the axial direction; the height adjusting mechanism is detachably mounted on the branch pipeline, an aeration mechanism for aeration is arranged at the top end of the height adjusting mechanism, and during mounting, the aeration height of the aeration mechanism is adjusted through the height adjusting mechanism; by arranging a first hollow pipe, a second hollow pipe and a sealing piece, the height of the aeration mechanism can be conveniently adjusted, the situation that during aeration, the gas outflow position cannot be adjusted according to actual needs is avoided, the device is convenient to operate, the aeration height can be well adjusted, the oxygen dissolving effect of a specific position in a water body is improved, and the aeration efficiency is improved. By arranging the sharp rod and the gas distribution block, gas can be conveniently divided, so that the number of bubbles during aeration is larger, and the bubbles are denser.

The utility model belongs to the technical field of furniture, and particularly relates to an assembly structure and a bar counter, the assembly structure comprises a bar counter assembly component, the bar counter assembly component comprises an electric lifting rod, the top end of the electric lifting rod is fixedly connected with a lifting support plate, the top of the lifting support plate is fixedly connected with an assembly splicing block, the inside of the assembly splicing block is fixedly connected with a spring, and the assembly splicing block is fixedly connected with the electric lifting rod. The end of the spring is fixedly connected with a first limiting clamping block, the bottom of the first limiting clamping block is tightly attached to a second limiting clamping block, and the outer portion of the second limiting clamping block is fixedly connected with an assembly splicing bayonet. According to the assembled bar counter, the assembling assemblies are designed, all the parts of the bar counter are assembled and can be in a separated state during carrying, the occupied space is saved, carrying is completed conveniently, assembling is completed immediately only by pressing downwards during assembling, operation is easy and convenient, the height of the bar counter can be adjusted, and the assembled bar counter can adapt to users with different heights or habits conveniently.

A method for establishing and distributing the value of objects based on consensus technology, characterized in that the method includes: taking the matter, energy, and information of moving objects as a unified aggregate, extracting the aspects that can reflect the value, and using consensus technology to create a corresponding value mapping in the information system; conducting value analysis and deployment on the mapping according to the willingness to distribute the value, establishing the subject matter and contract elements, and then adding environmental and constraint variables to generate a contract program, which is submitted as an offer or a consensus offer; when a commitment occurs, the contract is established to take effect based on the consensus technology, and the contract program formulated based on the consensus technology and the effective contract is executed and distributed. This method solves the problems of scientifically establishing objects and their values, as well as value distribution and attribution in the process of networking, automation, and information valueization of commodities in the field of economics; the application also discloses a system for establishing and distributing the value of objects based on consensus technology to achieve the above beneficial effects.

The utility model discloses a bagging machine for processing lepista sordida, and relates to the technical field of bagging equipment. The device comprises a shell, and a feeding assembly, a first driving assembly, a plugging assembly, a second driving assembly, a transmission assembly and a pushing assembly are arranged on the shell. According to the utility model, the matrix is poured into the feeding assembly, the bag is sleeved at the discharging end of the feeding assembly, then the first driving assembly is started to drive the plugging assembly to rotate around the feeding assembly, so that the matrix in the feeding assembly is segmented, and then the second driving assembly is started to drive the transmission assembly to operate; according to the feeding device, the feeding assembly is arranged, so that the pushing assembly can be driven to operate, the segmented matrix can be pushed into a bag along the discharging end of the feeding assembly and pressed, and due to the fact that the outer surface of the pushing assembly is attached to the inner wall of the feeding assembly, the segmented matrix can be completely pushed into the bag.

The utility model relates to the technical field of power distribution cabinets, in particular to a non-standard box dehumidification device, which comprises a non-standard box body, has the purpose of preventing dust by arranging a dustproof plate, can transmit dust in an equipment bin area into a dehumidification device bin, and avoids the situation that parts in the dehumidification device bin cannot be normally used due to excessive dust, so that the non-standard box can be used normally. The interior of the non-standard box body is separated through the dustproof plate, the interior of the non-standard box body can be better divided, parts in the non-standard box can be well arranged, the space in the non-standard box can be well and fully utilized, and the temperature in the non-standard box body is increased through dehumidification equipment in the dehumidification device bin; according to the non-standard box, the machine type in the non-standard box body is dehumidified, due to the fact that the heat dissipation holes are formed in the two sides of the non-standard box body, gas in the non-standard box body can be exhausted under the cooperation of the heat dissipation holes, and meanwhile the situation that parts cannot be normally used due to the fact that the interior of the non-standard box body is too hot is avoided.

A biopsy sample secondary sampling device comprises an air bag, and a one-way air inlet valve is arranged on the rear portion of the air bag. An air blowing connector is arranged on the front portion of the air bag and connected with the air bag in a pluggable or threaded mode. An air blowing channel is arranged in the air blowing connector, and an airtight ring is arranged in the air blowing channel. The utility model solves the problem that the secondary sampling of the biopsy sample is difficult in the prior art, realizes the complete secondary sampling of the biopsy sample, avoids the rupture of the sample, and is beneficial to the subsequent segmentation and pathological detection. Particularly, the device is simple in structure, low in manufacturing cost, capable of being combined and disassembled to facilitate cleaning and sterilization, capable of being reused and high in medical popularization value.

The utility model discloses a wall cabinet for separating a space, and belongs to the technical field of indoor separation. Comprising an open cabinet body and closed cabinet bodies, the closed cabinet bodies are arranged on the two sides of the open cabinet body, the open cabinet body comprises a plurality of sets of horizontally-arranged layer plates, each closed cabinet body comprises side plates, a top plate, a bottom plate, a partition plate and a cabinet door, and the side plates, the top plates and the bottom plates are in lap joint to form a box body structure in a surrounding mode. The partition plate is arranged in the box body structure, and the cabinet door is vertically hinged to the opening position of the box body structure. According to the utility model, the space utilization rate is improved, and the openness of the space view is guaranteed.

This invention discloses a suspension device for beef cattle slaughtering and processing, relating to the field of slaughtering equipment technology. The suspension device includes a second track positioned below a first track conveying path. A rotating track is provided on the conveying path of the second track. Guide wheels are slidably installed within the second track, and top rods are provided at the upper ends of the guide wheels. Clamping components are arranged in parallel along the conveying direction of the conveying chain, clamping the top rods. A rotating drive assembly is arranged circumferentially around the rotating track. By setting a rotatable rotating track on the beef cattle conveying path, the beef cattle, when conveyed to the rotating track, can be driven to detach from the conveying chain under the drive of the rotating drive assembly. This provides both rotational processing characteristics, reducing the difficulty of beef cattle slaughtering and processing, and independent detachment processing characteristics, providing sufficient processing time for beef cattle slaughtering and processing while allowing the conveying chain to continuously transport beef cattle.

The invention provides a target object segmentation method and system, and relates to the technical field of image processing, and the method comprises the steps: obtaining a detection image containing a target object, and carrying out the feature extraction of the detection image, and obtaining a bottom feature and an up-sampling feature; fusing the underlying features and the up-sampling features through a cascade aggregation module to obtain a cascade feature map; converting the underlying features into a boundary feature map through a boundary extraction module, and respectively performing boundary extension and semantic extension on the boundary feature map and the cascade feature map to obtain a final boundary feature map and a final cascade feature map; and predicting the target object according to the final boundary feature map and the final cascade feature map to obtain a segmentation result of the target object. According to the method, the boundary details and the overall semantic information of the target object are comprehensively considered, so that the segmentation accuracy is effectively improved.

The invention discloses a community discovery method and device based on balanced label propagation, and the method specifically comprises the steps: constructing a membership network according to the data of a social network; for the nodes with the degree value larger than 1 in the link list structure, node importance is calculated for each node by using node similarity and degree centrality, node labels and diffusion marks of the nodes are initialized, the node labels are updated according to the node importance, the two adjacent nodes with the highest similarity obtain the same labels, and the nodes with the highest similarity are updated. Selecting nodes of which the importance nodes are greater than a threshold value as initial core nodes, and performing label diffusion in a balance diffusion mode; for the nodes of which the degree values are equal to 1, neighbor labels of the nodes are directly distributed to the corresponding nodes; label selection is carried out according to the comprehensive influence among the communities, so that each node finds the most suitable label; and discovering a final community through rapid merging. The method is high in convergence speed and stable and accurate in result.

The application discloses a kind of ship navigation intelligent obstacle avoidance methods based on multi-modal perception, it is related to ship intelligent navigation technical field, including the following steps: acquisition multi-modal perception data and standardization, generate ship navigation perception dataset;Arrange perception node, generate ship multi-node perception layout;Establish ship circumferential perception coordinates and generate ship circumferential layered covering relationship;Divide far distance early warning area, near distance identification area and berthing monitoring area, generate ship zoned perception state;Process far distance radar data and near distance millimeter wave radar data, generate radar target perception result;Process visual image data, generate visual target perception result and ship look-around panoramic image;Match radar target perception result and visual target perception result, combined with ship body attitude change is directed to compensation and collision risk judgment, generate ship navigation intelligent obstacle avoidance result.The application has the advantages of wide perception range, target fusion accuracy and obstacle avoidance judgment stability.

The present invention relates to the field of commercial data processing technology, and in particular to a self-service platform for enterprise personnel intelligent management based on big data, the platform comprising a data encryption module, the data encryption module is used to determine an original two-dimensional matrix according to original data to be encrypted, determine each value cluster according to each identical value in the original two-dimensional matrix and its corresponding frequency, and determine the undirected complete graph of each value cluster and the value number sequence corresponding to the undirected complete graph according to the position of the value in each value cluster in the original two-dimensional matrix; encrypt the undirected complete graph according to the encryption rule to obtain an encrypted value sequence, and then obtain an encrypted two-dimensional matrix, determine the encrypted two-dimensional matrix as encrypted data, and determine the encryption rule and the value number sequence as a key. The present invention effectively improves the encryption effect of data by performing corresponding processing on the original data to be encrypted.

This invention discloses a soil sampling cylinder, a soil sampler, and a soil sampling method, relating to the field of geological exploration technology. The invention includes a cutting blade, which is a hollow cylinder with a straight inner and outwardly inclined circular cutting edge at the front end, and a threaded connection at the rear end to a steel cylinder. The inner wall of the steel cylinder is stacked with ring cutters whose inner diameter matches that of the cutting blade. An anchor rod is fixedly installed on the lower surface of a pad, and the upper surface is fixedly connected to a horizontal adjustment component. The horizontal adjustment component is fixedly connected to an equipment box, and a guide sleeve is installed at the center of the equipment box. Guide grooves are evenly spaced around the guide sleeve, and a guide limiting component is slidably installed within the guide grooves. The equipment box is threadedly connected to the steel cylinder via a vertical pressure component. This invention provides a soil sampling cylinder, a soil sampler, and a soil sampling method, featuring automatic horizontal calibration, guide limiting, static pressure undisturbed sampling, and digital traceability of samples. It also significantly reduces the cost and material requirements of the cutting blade, laying the foundation for cost reduction and efficiency improvement.

The invention relates to the technical field of railway subgrade engineering, in particular to a high-speed railway subgrade filler parameter optimization method and system. The method comprises the following steps: acquiring to-be-detected high-speed railway data; carrying out roadbed surface multi-frequency electromagnetic wave scanning on the to-be-detected high-speed railway data to obtain original filler electromagnetic response signal data; response signal space-time registration is carried out on the original filler electromagnetic response signal data, roadbed filler physical feature extraction is carried out, and roadbed filler physical feature data are generated; performing abnormal region spatial feature statistics according to the roadbed filler physical feature data, setting a partition filler construction scheme, and generating intelligent partition filler construction scheme data; and according to the intelligent partition filling construction scheme data, subgrade filling parameter ratio adjustment is carried out, so that high-speed railway subgrade filling parameter optimization operation is achieved. According to the method, accurate optimization of filler parameters is realized through railway roadbed filler partition defect evaluation, and the roadbed construction efficiency and quality are remarkably improved.

The present application relates to the technical field of automobile air conditioner control, and particularly refers to an energy-saving control method, a control system and a storage medium for an electric automobile air conditioner. The method comprises the following steps: S1, calculating the temperature of the inner side of the front windshield glass based on the temperature inside the vehicle and the temperature outside the vehicle; S2, calculating the dew point temperature of the air inside the vehicle based on the temperature inside the vehicle and the relative humidity inside the vehicle; S3, calculating the fogging margin based on the temperature of the inner side of the front windshield glass and the dew point temperature of the air inside the vehicle; S4, calculating the first internal air mixing rate based on the fogging margin; S5, calculating the second internal air mixing rate according to the number of people inside the vehicle; and S6, determining the third internal air mixing rate based on the first internal air mixing rate and the second internal air mixing rate, and controlling the automobile air conditioner according to the third internal air mixing rate. The electric automobile can improve the energy-saving effect of the electric automobile by controlling the ratio of internal and external circulation, while ensuring that the front windshield glass does not fog, and meeting the fresh air demand of the passengers inside the vehicle.