112results about How to "Save resource cost" patented technology

The invention discloses a method and device for recognizing and analyzing PDF texts and pictures based on OCR and a storage medium, and particularly relates to the field of text and picture processing.The method for recognizing and analyzing PDF texts and pictures based on OCR comprises the following steps that S100, PDF documents are loaded, page analysis is conducted, page elements are extracted, and page layout information is processed; and step S200, for the extracted picture or the PDF page generated by scanning, performing high-precision OCR recognition by using a deep learning model, and converting characters in the image into editable texts. According to the method, efficient and accurate analysis of complex texts and picture contents in the PDF document is realized, the technical scheme not only improves the analysis precision and efficiency and enhances the flexibility and expandability of the system, but also promotes the development of digital and intelligent application of the document, and meanwhile, by saving resources and time cost, the method and the system have good application prospects. And remarkable economic benefits are brought to enterprises and individual users.

The invention relates to the field of cold end optimization control systems, in particular to a method for reconstructing a wind field of an axial flow fan group of a direct air cooling unit based on a physical information neural network. Comprising the following steps: S1, arranging a plurality of wind speed and pressure sensors near an axial flow fan group of the direct air cooling unit, and collecting sample data when axial flow fans rotate at a high speed by taking wind speeds and pressures in all directions of a wind field of the axial flow fan group of the unit as target variables; s2, performing data preprocessing on the sample data; s3, determining a differential equation of fluid motion satisfied by the axial flow fan group area, and constructing a physical information neural network of the axial flow fan group; s4, training a physical information neural network model of the axial flow fan group by using the preprocessed data obtained in the S2; and S5, reconstructing a wind field of the axial flow fan group of the direct air cooling unit according to the trained physical information neural network model of the axial flow fan group in the step S4. According to the method, the wind field data of the axial flow fan group of the direct air cooling unit is quickly and accurately predicted by using a physical information neural network method.

The invention relates to the technical field of tire simulation design, in particular to a tire pattern longitudinal groove edge optimization design method and system and a computer program product. The method comprises the following steps: extracting actual grounding pressure data of a tire; establishing a pattern block geometric plane model, and applying proper boundary conditions; according to the condition of non-uniform grounding pressure distribution, the shape of the contact surface of the pattern block is adjusted to realize uniform distribution; the grounding pressure distribution of the edge of the pattern block is optimized by minimizing a grounding pressure skewness value; and finally, calculating and adjusting the outer contour curve of the tire to realize final optimization design. According to the method, the road holding force, the controllability and the driving stability of the tire can be remarkably improved, the service life is prolonged, the modeling and calculation time is relatively low, and the design and development cost is remarkably reduced.

The invention discloses a training method of an image generation model, and an image processing method and device. Relates to the field of artificial intelligence, and the method comprises the steps: obtaining a training sample image set which comprises a plurality of spliced feature maps; the plurality of spliced feature maps are input into an initial student model to obtain a first prediction result output by the initial student model, the plurality of spliced feature maps are input into a teacher model to obtain a second prediction result output by the teacher model, and the initial student model is obtained by initializing parameters of the teacher model; the teacher model is a pre-trained text graph generative model; and constructing a target loss function based on the first prediction result and the second prediction result, and training parameters of the initial student model based on the target loss function to obtain a target image generation model. The technical problem of low image generation efficiency caused by high reasoning delay due to more reasoning step number and parameter quantity of an image generation model in the prior art is solved.

The invention relates to a language model training method and a man-machine interaction method based on a language model.The method comprises the steps that a training data set is obtained, and the training data set comprises multiple kinds of training data in different fields; a to-be-trained multi-field large language model is determined, the to-be-trained multi-field large language model comprises a basic model and first initial fine tuning parameters of different fields, and the parameters of the basic model are pre-trained; and performing fine tuning training on the to-be-trained multi-field large language model by using the training data of the plurality of different fields, and updating the first initial fine tuning parameters of the different fields to obtain a target multi-field large language model. Therefore, the target multi-field large language model is suitable for various different fields, the application range is wide, the target multi-field large language model is deployed at the same time, the target large language models in different fields are dynamically loaded, separate deployment is not needed, and the resource cost is reduced.

The invention discloses a cable defect identification method and device, electronic equipment and a storage medium, and belongs to the technical field of distribution cable defect identification, and the method comprises the following steps: collecting voiceprint data of a target cable; performing parameter optimization on the filtering length and period of the maximum correlation kurtosis filtering method through a triangular topology aggregation optimization method, and performing denoising enhancement processing on the voiceprint data by adopting the optimized maximum correlation kurtosis filtering method; performing parameter optimization on the input weight and the hidden layer bias of the online sequence extreme learning machine through a triangular topology aggregation optimization method, and building a cable defect identification model based on the online sequence extreme learning machine after parameter optimization; and carrying out model training based on the voiceprint data, updating the current output weight of the cable defect recognition model in real time by adopting a chained updating rule of the output weight, and outputting a cable defect recognition result. According to the method, the efficiency and effect of voiceprint enhancement and extreme learning machine parameter optimization are remarkably improved, and hardware resources and calculation cost are greatly reduced.

The invention discloses a target detection algorithm-oriented data architecture optimization method in the field of visual detection, and the method comprises a video data management module, a data automatic labeling module, a special data sample reservation module and an image data de-duplication module. Business data of different sources are subjected to renaming management in a unified mode, videos are intercepted by adopting different video interception frequencies and stored as picture data, naming of the picture data is based on the names of the source videos, and related frame numbers are added to serve as supplements. According to the method, the redundancy of the service data set is reduced by utilizing an image similarity calculation method, the dispersion degree of the service data set is improved, the time cost of subsequent manual annotation and the resource cost used by transfer learning are reduced, and meanwhile, the detection performance of an AI visual detection technology in an on-site scene is ensured.

The invention discloses a deep-grain walnut kernel quick-heating quick-cooling dry-method coating removing process which comprises the following steps: (1) a quick-heating stage: dry walnut kernels enter a feeding hopper of a quick-heating shoveling plate machine, are uniformly mixed with high-temperature quartz sand under the operation of a shoveling plate, and are conveyed to a discharging table; (2) a rapid cooling stage: the rapidly heated walnut kernels enter a rapid cooling shoveling machine, are uniformly mixed with low-temperature quartz sand under the operation of a shoveling plate, and are conveyed to a discharging table; (3) kernel and coat separation: the walnut kernels enter a feeding tray and enter an air pump brush machine, and the walnut kernels and the coat are preliminarily separated under the action of pulse airflow and a brush; and (4) kernel and coat sorting: finally conveying the walnut kernels by a conveyor belt, and enabling kernel coat residues to enter a residue discharge channel through a fan. After the technological process is adopted, the peeling efficiency of the walnut kernels in the current market can be improved, no chemical agent needs to be added, the production cost is saved, meanwhile, the fragrance and nutrition of the walnuts are not damaged, the industrial economy is further improved, and the bottleneck of rapid development of the walnut kernel industry is solved.

The invention discloses an alarm pushing method and device for AI identification drowning prevention and a medium, and relates to the technical field of image identification. The method comprises the following steps: identifying and analyzing a real-time video stream based on a preset anti-drowning alarm pushing model to detect whether an anti-drowning event exists; when it is detected that the anti-drowning event exists, continuously generating an alarm message of which an alarm corresponds to a preset number of coherent video frames, and determining an alarm type corresponding to the alarm message; in the process of continuously generating the alarm messages, continuously judging whether adjacent alarm messages meet message merging logic or not; wherein the message merging logic is that the time interval of the adjacent alarm messages is not greater than a preset merging time threshold and the alarm types of the adjacent alarm messages are the same; and in the process of continuously generating the alarm messages, if the alarm messages meeting the message merging logic reach the merging upper limit number, merging the alarm messages with the merging upper limit number into an upper limit alarm packet, and pushing the upper limit alarm packet to an alarm platform.

The invention provides a front-end and back-end simulation implementation system with an RDMA network card, and the system comprises a front-end QEMU simulator which is used for simulating a front-end part of the RDMA network card; the back-end QEMU simulator is used for simulating the back-end part of the RDMA network card; the APP component is used for simulating an RDMA message processing engine and simulating and realizing an RDMA message processing process, and at least comprises the steps of analyzing a hardware table item, constructing a sending message, processing a receiving message and updating a completion queue; and data interaction among the front-end QEMU simulator, the rear-end QEMU simulator and the APP component is realized through a Socket mechanism, so that a simulation process of a control plane data stream and a data plane data stream of the RDMA network card is realized. The invention further discloses a corresponding method, equipment and a storage medium. By implementing the method, the resource cost of real hardware simulation can be reduced, and the chip design verification cost is greatly saved.

The invention provides an implementation method for switching a client among multiple working areas in a Wayland environment, which belongs to the technical field of Wayland synthesizer development and comprises the following steps of: step 1), initializing, namely initializing a Wayland synthesizer and initializing multiple working areas; the method comprises the steps of (1) establishing a working area, (2) establishing a client and adding the client into the working area, (3) moving the client to the working area, and (4) moving the client out of the working area. The method adopts a way based on a Wayland linked list, realizes a function of switching the client among multiple working areas at a Wayland synthesizer end, reduces data interaction between the client and the synthesizer, and saves time and resource cost.

The utility model relates to the technical field of food processing, and discloses raw material stirring equipment for candy production, which comprises a mixing tank, a stirring component for mixing candy raw materials is mounted on the middle side in the mixing tank, and a driving component is fixedly connected to the middle of the top end of the mixing tank. The driving assembly is used for driving the stirring assembly to stir in the mixing tank; and an opening is formed in the top of the joint box, the top of the opening communicates with a feeding hopper, and a batching box is arranged on the upper side of the interior of the joint box. According to the mixing device, the candy raw materials attached to the inner wall of the mixing tank can be rotationally scraped while the candy raw materials are mixed, so that waste caused by the fact that the candy raw materials are attached to the inner wall of the mixing tank is avoided, the effect of saving the resource cost is achieved, meanwhile, the candy raw materials are guided into the mixing tank from the material guide pipe after passing through the material suction pipe through the pump body, and the mixing efficiency is improved. And a good conveying effect is achieved, so that the working efficiency is improved.

The invention discloses a task scheduling method and device based on intelligent MRP operation, a medium and a program product. The task scheduling method comprises the steps that first real-time production data in the production process is obtained; performing data preprocessing on the first real-time production data to obtain second real-time production data; carrying out stream data analysis processing on the second real-time production data based on an Flink framework to obtain a real-time data analysis result; the real-time data analysis result is input into a trained intelligent MRP operation model, an MRP production scheduling plan is generated by the intelligent MRP operation model according to real-time productivity and user order demands, and the intelligent MRP operation model is constructed based on a machine learning algorithm and is trained by using historical MRP data; and finally, carrying out production task scheduling according to the MRP production scheduling plan. According to the invention, the accuracy of MRP operation is effectively improved, and the instantaneity and responsiveness of generating the MRP production scheduling plan are further improved, so that the production efficiency is improved, and the resource waste is reduced.

The invention provides a casing knowledge base construction method based on a large model vector, and the method comprises the following steps: S1, carrying out the grading and classification of original order features, and constructing the original order features into knowledge vectors through a large model vector model in combination with a weight algorithm; s2, constructing a vector knowledge base and a vector order pool to be selected; s3, querying recommendation and constructing a scoring matrix; s4, updating the knowledge base; according to the invention, an order feature classification method and a vector generation method are adopted to construct a vector knowledge base and a vector order pool to be selected, a given order is converted into an order vector, order pairing is carried out in the vector knowledge base and the vector order pool to be selected, and finally a scoring matrix is constructed to score order pairs from multiple dimensions. The order pair with the highest score is obtained for casing; the quantitative basis and the clear box sleeving process are provided, and the box sleeving efficiency is improved; the problems that in the prior art, box sleeving depends on the experience of deploying personnel, and the manual deploying efficiency is low are solved.

The invention discloses material transfer equipment for preparation of a veterinary disinfectant, and relates to the technical field of material transfer, and the material transfer equipment comprises a composite mechanism. According to the material transfer equipment for preparation of the veterinary disinfectant, by designing a composite mechanism, starting a first motor, driving a rotating shaft to rotate and moving disinfectant raw materials through paddles, the material transfer effect is achieved, a composite shell is lifted by regulating and controlling a lifting rod, so that the operation condition requirements are met, materials are discharged outwards through a connecting pipe, and the material transfer efficiency is improved. The spiral plate is arranged in the connecting pipe, the effect of uniform material conveying is achieved through the spiral structure, material output smoke dust is reduced, material drifting is reduced, the scraping mechanisms are arranged on the surfaces of the blades, the blades rotate to drive the scraping mechanisms to rub the inner wall of the composite shell, on one hand, the scraping effect on the materials is improved, and the conveying efficiency is improved; on the other hand, material residues are reduced by scraping the inner wall, the inner wall of the equipment is kept clean, material residues are prevented, and pollution of the material residues to the interior of the equipment is avoided.

The invention belongs to the technical field of sag measurement, and particularly relates to a power transmission line sag measurement system based on the Beidou positioning technology, which is composed of a sag measurement and calculation tackle and a control center, and is characterized in that the sag measurement and calculation tackle is provided with Beidou positioning equipment and an environment acquisition terminal; the Beidou positioning technology and the sag measuring and calculating tackle device are introduced into the sag measurement of the power transmission line, and the Beidou positioning equipment and the environment acquisition terminal are arranged on the sag measuring and calculating tackle. By means of the installed Beidou positioning equipment and the environment acquisition terminal, related data acquisition work is carried out, sag calculation is carried out, the purpose of flexible, dynamic and targeted measurement of the sag of the power transmission line is achieved, the accuracy of a measurement result can be improved, the timeliness of measurement can be enhanced, and the measurement efficiency is improved. And meanwhile, follow-up changes of the line can be adapted to the maximum degree, on-demand measurement is achieved, and measurement resources and measurement cost can be saved to a certain degree.

The utility model provides an alloy grading screening device, which belongs to the technical field of alloy screening and comprises a screening box, and a feed inlet and an exhaust inlet are arranged at the top of the screening box. A screen plate assembly and a screen mesh assembly which are obliquely arranged are installed in the screening box. The oblique low end of the screen plate assembly is connected with a screen plate discharging table. The inclined low end of the screen assembly is connected with the screen discharging table. A material collecting cavity is formed by the screen assembly and the bottom of the screening box, and one side of the material collecting cavity is connected with a material collecting and discharging table; a material pushing mechanism is arranged in the material collecting cavity and comprises a reciprocating screw rod and a guide rod which are parallel to the bottom of the screening box, the reciprocating screw rod and the guide rod are sleeved with a push plate, and the bottom of the push plate abuts against the bottom of the screening box; a servo motor is arranged outside the side wall of the screening box, and the output end of the servo motor is connected with the reciprocating lead screw. When the device runs, materials are in a relatively sealed environment, raised dust is not easy to generate, the working environment is improved, the screening and grading effects of the materials are improved through the design of the multi-stage screen, and the waste rate of products is reduced.

The invention relates to the technical field of synthetic aperture radar imaging detection, in particular to a moving target imaging and repositioning method based on a bistatic synthetic aperture radar, and the method comprises the steps: obtaining an original echo signal of a moving target through the bistatic synthetic aperture radar, and correcting the original echo signal based on two-step transformation; extracting a first-order Doppler parameter estimation value of the echo signal after the two-step transformation and moving target distance information under different azimuth blocks; constructing a parameter estimation and relocation model, and solving a second-order Doppler parameter estimation value and relocation information according to the first-order Doppler parameter estimation value and the moving target distance information under different azimuth blocks; and according to the second-order Doppler parameter estimation value and the repositioning information, constructing a matching function to perform focusing imaging on the moving target. The objective of the invention is to synchronously realize parameter estimation and relocation of a moving target and improve the calculation efficiency.

This invention relates to a boron-doped multi-element polyanionic sodium-ion battery cathode material and its preparation method, comprising the following steps: [The method involves] mixing Na₄Fe₂O₃ with... 3‑X B X (PO4) 2‑Y (SiO4) Y The stoichiometric ratio of P2O7 is determined by adding ferrous source, boric acid, sodium source, phosphorus source, and silicon source to water, followed by the addition of carbon source and mixing thoroughly to obtain a mixed slurry; wherein 0.2≤X≤0.5, 0<Y≤1; the mixed slurry is then ground to obtain a sand-milled slurry; the sand-milled slurry is dried to obtain precursor powder; under a protective atmosphere, the precursor powder is sintered at 450~550℃ to obtain boron-doped multi-element polyanion sodium-ion battery cathode material. The introduction of boron and silicon elements in this invention helps reduce raw material costs, improve the electrochemical performance of the material, especially enhancing the structural stability, rate performance, and cycle life of the cathode material, and also lowers the sintering temperature, meeting the requirements for cost reduction and efficiency improvement.

The present invention discloses a composite coating for improving the surface performance of a carbon-based electrode, a graphite electrode and a preparation method. The composite coating of the present invention comprises a first transition layer, a second transition layer and a protective layer, the thickness of the composite coating is 15 to 35 μm, the first transition layer is a Ta layer with a thickness of 3 to 4 μm, and the second transition layer is a Ta layer with a thickness of 2 to 6 μm. x C layer, the protective layer is a TaC layer with a thickness of 10 to 20 μm, the Ta x The C layer is composed of Ta2C and TaC, wherein x is Ta in Ta x The molar ratio of elements in the C layer. The interface structure components of each layer of the composite coating prepared by the present invention change gradually. The outermost TaC layer has high purity, controllable thickness and good conductivity, and is the main protective layer; the Ta-Ta x The C two-layer transition structure has a high melting point and stable properties. It further enhances the membrane-substrate bonding strength while providing good protection for the internal graphite electrode, thereby greatly improving the bonding strength, anti-ablation and anti-oxidation properties of the entire coating.

The present application provides a urinal and toilet equipment, the urinal is assembled on a toilet, and includes a urine receiving module, a control module and a connection module, so that the urine receiving module is driven to move relative to the toilet body by controlling the connection module to move. The toilet equipment includes the urinal and the toilet, whereby the present application can have both standing urination and toilet functions, so as to improve the existing technology that standing urination easily causes pollution to the toilet.

The invention relates to the technical field of Internet of Vehicles and battery management, in particular to a charging management and health detection method for a TBOX built-in standby battery, which comprises a charging management module, an MCU (Microprogrammed Control Unit), a charging switch, a discharging switch, an ADC (Analog to Digital Converter) voltage acquisition module, a standby battery, a main and standby power automatic switching module and a rear-end load system, all the modules are electrically connected to form a cooperative work system, the charging management module performs sectional charging on a standby battery based on a battery voltage state, and the MCU control unit controls on-off of the charging switch and the discharging switch and combines sampling data of the ADC voltage acquisition module. A sectional charging mode is adopted, the charging current is dynamically adjusted according to the battery voltage, the charging efficiency is improved, the occurrence of battery swelling, aging and other faults is reduced, and the service life of the battery is prolonged; a battery health detection scheme is optimized, only one ADC voltage sampling port of the MCU is needed, an extra large-current discharge auxiliary circuit is not needed, and MCU resources and hardware cost are saved.

The invention discloses a coal mine underground spraying-curtain integrated efficient dust falling system, and relates to the technical field of coal mine underground dust prevention, the coal mine underground spraying-curtain integrated efficient dust falling system comprises a stope face, an air return way is arranged on one side of the stope face, a transportation way is arranged on the other side of the stope face, and an underground comprehensive dust prevention control center is arranged in the transportation way; the underground comprehensive dustproof control center comprises a stope face dedusting control module, a return airway dedusting control module and a parameter monitoring device; a mobile power station is arranged above the underground comprehensive dustproof control center, and a magnetized water production device is arranged above the mobile power station. According to the underground coal mine spraying-curtain integrated efficient dust falling system adopting the structure, the first spraying mechanism and the second spraying mechanism are adopted for dual dust removal, the dust removal effect is better, the monitoring center is adopted for remotely controlling operation of the underground comprehensive dust removal control system, dust removal equipment is intelligently switched on and off, and the dust removal efficiency is improved. And water resources and use cost are saved.

The present invention provides a method and device for dividing the carcass mesh of the bead area for tire finite element analysis, firstly identifying the bead area on the left and right sides of the tire material distribution diagram, then adding auxiliary dividing lines at the bead area to divide the lower part of the bead area into a carcass turn-up outer section and a carcass turn-up inner section, adding vertical dashed lines at the bead area to divide the carcass turn-up outer section and the carcass turn-up inner section of the bead area equally, and finally stretching and transforming the vertical dashed lines of the carcass turn-up outer section and the carcass turn-up inner section of the bead area. The scheme of the present invention can reduce or eliminate the situation that the carcass mesh of the bead area is excessively distorted in the current tire finite element simulation analysis, resulting in the simulation result not converging and the inability to obtain the result, thereby improving the efficiency of tire finite element simulation analysis, saving simulation calculation resources, and shortening the tire product development cycle.

The application discloses a kind of calibration devices for strapdown inertial measurement unit, solve the technical problems of the prior art, such as large size and weight of calibration tool, poor stability, which affects the final test accuracy, and the need to replace the turntable with larger volume and load for overturning calibration, leading to increased resource costs, comprising a calibration bracket, four calibration bracket package angles and a positioning locking device.The calibration bracket is fixedly connected to the inertial measurement unit body through the positioning locking device.The calibration bracket is fixed on the inertial measurement unit body through the positioning locking device, achieving miniaturization design, reducing the weight of the calibration device by about 90%, reducing the volume by about 40%, and greatly saving the resource cost and labor cost of strapdown inertial measurement unit calibration work.

The invention relates to a hydraulic torque converter, and provides a large-torque centrifugal hydraulic torque converter in order to solve the problems that the torque amount of an existing centripetal hydraulic torque converter cannot meet the starting torque required by large equipment, the structure is complex, the assembly difficulty is large and the like, and the large-torque centrifugal hydraulic torque converter comprises a guide wheel shell and a turbine shell which are connected with an input shaft and an output shaft through bearings respectively. The guide wheel shell and the turbine shell are mutually connected to form a shell of the hydraulic torque converter; the guide wheel and the pump wheel are coaxially arranged on the outer side of the input shaft in a sleeving mode, the turbine is coaxially arranged on the output shaft in a sleeving mode, the guide wheel is fixed to a guide wheel shell, and the pump wheel is connected with the input shaft through first end face teeth; the turbine is connected with the output shaft through the second end face teeth. A pump wheel mounting groove is formed in the turbine, the outlet end of the pump wheel is mounted in the pump wheel mounting groove in an embedded manner, and a gap exists between the pump wheel and the turbine; bearings are arranged at the connecting end between the input shaft and the output shaft, the connecting end between the guide wheel shell and the input shaft and the connecting end between the turbine shell and the output shaft.

The invention discloses an atmosphere sintering furnace and a degreasing sintering method, and relates to the technical field of sintering equipment. The atmosphere sintering furnace comprises a furnace body, a negative pressure device, a blower device and an oxygen circulation system; a first air outlet of the furnace body is connected and communicated with an air inlet of the negative pressure device, and a first air inlet of the furnace body is connected and communicated with an air outlet of the blower device; the oxygen circulating system comprises an oxygen cooling device, an oxygen purifying device, a pressurizing device and a pure oxygen storage tank which are connected and communicated in sequence; a second gas outlet of the furnace body is connected and communicated with a gas inlet of the oxygen cooling device, and the second gas outlet of the furnace body is connected and communicated with a gas outlet of the pure oxygen storage tank; electric control valves are arranged in all the air outlets and all the air inlets, and all the electric control valves are connected with the control system in an electric control mode. During degreasing, the inside of the furnace is pumped to set negative pressure, exhaust of waste gas generated by a binder in a blank is accelerated through cooperation with the blower device, oxygen circulation is achieved during sintering, and oxygen waste is avoided.

The present application discloses a method and device for automatically scaling up and down Worker services for transmission in an industrial Internet of Things data center. The method includes developing a Worker service environment configuration Shell script to configure the operating environment of the internal system of the Worker service container in the Docker image; developing a Worker service running Shell script to enable the Worker service container in the Docker image to start the Worker service call; developing a Dockerfile file to build a Worker service container in the Docker image; developing a Worker scheduling center service, adding an interactive interface between the Worker scheduling center service and the monitoring platform, and adding a Worker container startup method and a Worker container shutdown method to start or shut down the Worker service container, respectively. By constructing a Worker service container in a Docker image, the present application can achieve automatic scaling up and down without the involvement of operation and maintenance personnel when the number of factories or equipment increases or decreases, resulting in changes in the amount of data.

The invention relates to the technical field of scanning devices, in particular to a quick response X-ray scanning device based on a micro-electro-mechanical chip, which comprises a detection table, a photoelectric sensor is arranged in the detection table, a plurality of positioning blocks are arranged on the detection table, and a table top of the detection table is used for bearing an object to be imaged; the X-ray source is arranged above the detection table and can emit X-rays to the direction of the detection table, and the X-ray source is connected with a movable support capable of driving the X-ray source to move; the detector is connected with the detection table and can receive the X-rays penetrating through the object to be imaged and convert the X-rays into digital signals; the detection table fixes the position of an object to be imaged through the positioning block, the image acquisition module acquires an image of the detection table, and the control module adjusts the position of the X-ray source according to the position of the object to be imaged on the image so as to completely scan the object to be imaged. By accurately positioning the position of the object to be imaged and standardizing the image of the object to be imaged, the accuracy and reliability of the whole scanning process are improved, and the scanning efficiency and the imaging quality are improved.

This utility model relates to the field of electric vehicle motor technology, specifically disclosing a liquid-cooled hub motor for electric vehicles. The liquid-cooled hub motor includes: a motor side cover, a guide plate, several clips, and several fixing posts. Several skirts protrude from the outer periphery of the guide plate, and these skirts are fitted and enclosed with the motor side cover to form a storage chamber for storing coolant. Several clips are arranged circumferentially on the guide plate, and several fixing posts are arranged on the motor side cover, with each fixing post corresponding to one of the clips. The clips and fixing posts engage with each other. This arrangement facilitates installation and fixation through the engagement of the clips with the corresponding fixing posts, and achieves axial pressing and positioning of the guide plate, ensuring that the outer ring of the guide plate is pressed tightly against the motor side cover. This adapts to a wide temperature range and vibration conditions, improving stability. It balances locking strength with ease of assembly, simplifies the overall structure, and effectively reduces resource costs.