94results about How to "Realize Tracking" patented technology

The invention discloses an SCL field safety accident analysis and early warning method and system, a medium and a program product, and the method comprises the steps: carrying out the distributed cleaning and feature extraction of multi-source heterogeneous monitoring data, and obtaining a multi-dimensional time sequence feature flow; constructing a dynamic association network of a security state; identifying a key influence factor chain, and establishing a semantic analysis model; constructing a safety threshold system; evaluating the multi-dimensional time sequence characteristic flow by using a safety threshold system; when the multi-dimensional time sequence characteristic flow triggers early warning, performing tracing analysis by using a semantic analysis model to obtain a root event triggering the early warning, and simulating the development trend of the root event based on a preset evolution model; determining a predicted risk range and a risk type according to the tracing cause analysis result and the accident development trend; and the corresponding accident early warning scheme is matched in the preset database according to the risk range and the risk type, and the accident early warning scheme is sent to the monitoring terminal, so that the accuracy of judgment and classified early warning of different types of safety accidents is improved.

The invention discloses a battery life evaluation system and method based on different decline modes of a battery, and belongs to the technical field of battery management evaluation. Through combination of the data acquisition module and the information management module, battery manufacturing, operation and historical information is comprehensively acquired, accurate management of the whole life cycle of the battery is realized, the data analysis module and the performance evaluation module deeply analyze battery operation data, classify and identify recession modes and key influence factors, and the reliability of the battery is improved. The current performance and the remaining life of the battery are dynamically evaluated by combining a prediction model, decision making is simplified through health scoring, the battery management efficiency is improved, the adaptive performance optimization module adjusts battery parameters and temperature control strategies according to operation scenes, the performance and the life are balanced, active optimization and safety improvement are achieved, and the safety is improved. The carbon footprint evaluation module covers all stages of battery manufacturing, using and recycling, checks full-life-cycle carbon emission, traces the source of high emission links, provides low-carbon optimization suggestions, and assists enterprises in achieving the goal of green development.

The invention discloses a cardiac interventional operation scene reconstruction method based on 3D ultrasonic imaging rendering. The method comprises the following steps: collecting a preoperative computed tomography or magnetic resonance imaging image as prior information; the real-time 3D ultrasonic image sequence is preprocessed; the method comprises the following steps of: performing voxelization on an image by combining prior information, converting image data into voxel representation in a three-dimensional space, and creating an initial 3D Gaussian function set; parameters of the initial Gaussian function are optimized through an iterative optimization algorithm, so that the difference between the reconstructed image and the actual image is minimized; in combination with interventional catheter shape constraint, adaptive density control of a 3D Gaussian function is alternately carried out; and rendering tiles one by one by adopting a Gaussian sputtering technology based on the tiles to realize real-time three-dimensional scene reconstruction and display. According to the method, prior information and interventional catheter shape constraints are combined, various structures in an operation scene are represented and simulated by using a 3D Gaussian function, and efficient rendering is realized through a tile-based sputtering technology.

The invention relates to the technical field of data processing, in particular to a karst area mine groundwater pollution channel tracking method, which comprises the following steps of: acquiring groundwater flow data and pollutant concentration data of a plurality of monitoring points of a karst area mine; the water flow fluctuation degree of the monitoring point and the concentration trend change degree of various pollutants are obtained according to the underground water flow data and the pollutant concentration data, the overall pollutant concentration equilibrium proportion degree of the monitoring point is obtained according to the concentration difference between various pollutants and another matched pollutant, and the overall pollutant concentration equilibrium proportion degree of the monitoring point is calculated according to the water flow fluctuation degree. The characteristic distance between any two monitoring points can be obtained according to the concentration trend change degree of various pollutants in the current monitoring period and the previous monitoring period and the overall pollutant concentration equilibrium ratio degree, so that the monitoring points are clustered, the accuracy of the clustering result is improved, the tracking of the mine groundwater pollution channel is realized, and the monitoring efficiency is improved. And interference of actual mine operation activities on local monitoring points is avoided, so that the tracking accuracy of the pollution channel is enhanced.

The invention discloses an inverter circuit, a maximum power tracking method thereof and energy storage inverter equipment, the inverter circuit comprises a full-bridge circuit, a transformer and a half-bridge circuit, the full-bridge circuit is connected to the half-bridge circuit through the transformer, the full-bridge circuit is connected with a photovoltaic module, and the half-bridge circuit is connected with an alternating current side; the maximum power tracking method comprises the following steps: acquiring the input power of the photovoltaic module in the current period and the input power of the photovoltaic module in the previous period, and the reference output voltage of the inverter in the first period; determining a voltage adjustment step length according to the power deviation and the voltage deviation, the power deviation being based on the input power of the current period and the previous period, and the voltage deviation being based on the input voltage of the photovoltaic module of the current period and the previous period; obtaining the reference output voltage of the current period according to the voltage adjustment step length and the reference output voltage of the previous period; and generating a driving signal according to the reference output voltage of the current period so as to control the inverter circuit. According to the invention, the maximum power point of the photovoltaic module can be tracked by the inverter circuit.

The invention discloses a frequency spectrum refining frequency point tracking type optical frequency domain reflection distributed sensing method, which comprises the following steps of: inputting probe light into a sensing optical fiber engraved with weak reflection points to obtain backscattered light; carrying out coherent frequency mixing on the backscattered light and the reference light, and then carrying out photoelectric conversion to obtain an electric signal containing weak reflection point information; aD sampling is carried out on the electric signal containing the weak reflection point information, and a first discrete signal sequence is obtained; performing frequency spectrum refinement on the first discrete signal sequence to obtain a refined beat frequency spectrum; performing peak searching operation on the refined beat frequency spectrum to obtain weak reflection beat frequency points at different positions in different measurement periods; extracting phase values of beat frequency points of weak reflection points at different positions in different measurement periods by utilizing Hilbert transform; and carrying out phase demodulation on the phase values of the beat frequency points of the weak reflection points at different positions in different measurement periods to obtain the change condition of parameters measured by the sensing optical fiber. Errors caused by the Doppler effect can be eliminated.

The invention discloses a method and a device for realizing full-link tracking of business data and a storage medium, which are used for tracking all associated businesses of an order. The method for realizing the full-link tracking of the service data comprises the following steps: receiving a service request sent by a client; generating a tracking identifier according to the service request, and storing the tracking identifier in a context related to the service request, the context being capable of being shared by multiple threads of the first service node; when multiple threads of the first service node need to respond to the service request, the service request is transmitted among the multiple threads based on the tracking identifier carried by the context; obtaining first service data of a multi-thread response service request; and returning the first service data to the client.

The invention discloses an object motion estimation and tracking method and device based on adaptive Kalman filtering, and the method comprises the steps: carrying out the kinematics analysis based on the wind resistance, rotation and Magnus effect of a flying sphere, and precisely building a motion equation of the flying sphere; secondly, designing an adaptive Kalman filtering algorithm to solve a motion equation, namely extracting convolution features through an FCOS algorithm, realizing flying ball dynamic tracking based on a KCF tracker, reconstructing a target three-dimensional pose through a camera projection model, inputting the target three-dimensional pose into an adaptive Kalman filter, realizing flying ball motion equation solving, and improving robustness of measurement noise and modeling errors; and finally, aiming at the problem of autonomous view loss, designing a PWC-Net dense optical flow method to realize autonomous view dynamic maintenance, supporting rapid and accurate self-sensing motion estimation and tracking of the flying sphere, and effectively overcoming the loss rate and hysteresis of the tracking of the flying sphere.

The invention relates to the technical field of food processing, in particular to a holographic display system based on artificial intelligence, which comprises a display module, an artificial intelligence control module, a safety protection module and a noise reduction module, the display module comprises a plane holographic unit and a three-dimensional holographic unit, and the three-dimensional holographic unit is arranged in the plane holographic unit; the artificial intelligence control module enables the projection of the transmission image of the plane holographic unit and the projection of the three-dimensional image in the three-dimensional holographic unit on the plane where the plane holographic unit is located to be completely overlapped through a deep learning algorithm. According to the holographic display system, the display module, the artificial intelligence control module, the safety protection module and the noise reduction module are arranged, so that the intelligence and the safety of the holographic display system are realized. And the plane holographic unit and the three-dimensional holographic unit of the display module are combined, so that the image display is more three-dimensional and vivid. And the artificial intelligence control module ensures accurate superposition of the images through a deep learning algorithm, so that the accuracy and reality of the display effect are improved.

The invention discloses a magnetic field generating device for auxiliary welding and a utilization method of the magnetic field generating device. The device comprises a magnetic field generating coil, a connecting piece and a motion tracking device. Wherein the magnetic field generating coil is mounted at the bottom of the weldment and is connected with the mechanical arm through the connecting piece; the motion tracking device is installed on the side face of the welding gun and is in communication connection with the mechanical arm through the data processing terminal. The magnetic field generating coil is used for generating a magnetic field acting on the weldment after current is introduced; the motion tracking device is used for collecting motion data of the welding gun in real time, converting the motion data into electric signals and sending the electric signals to the data processing terminal; the data processing terminal is used for generating a control instruction acting on the mechanical arm by adopting a motion control algorithm according to the electric signal; and the mechanical arm is used for executing corresponding actions according to the control instruction so as to control the magnetic field generation coil and the welding gun to move synchronously. Stability and consistency of a magnetic field borne by a welding seam can be achieved, and workpiece waste caused by uneven distribution of the magnetic field is reduced.

The invention relates to a multi-sub-mirror structured short video batch mixing and cutting method with controllable repetition degree of materials, which comprises the following steps of: separately managing sub-mirrors and the materials, establishing a mapping relation between the materials and the videos, introducing a control value of an allowable maximum repetition sub-mirror number during calculation and combination, and performing gradient repetition degree operation from low to high. Through tracking and statistics of historical materials, a material minimum usage priority principle is applied, and video library repetition comparison is converted into material repetition comparison; the method has the advantages that the historical use records of the materials are persistent, and the use condition of each material can be tracked; the output video combinations are output according to the gradient of the repetition degree from low to high, the material repetition index of the material combination of each video is visualized, and the risk of preferential release is reduced to the minimum; the situation that all combinations are compared with all videos in a video library one by one is effectively avoided, and the time and space complexity of a combination calculation algorithm is reduced.

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

The invention discloses a data tracking method and device, an intelligent agent and electronic equipment, and belongs to the field of data tracking. The method comprises the following steps: acquiring a span identifier of a first span; the first span is a span generated in a process of processing a received first data packet by a first micro-service to obtain a second data packet; injecting tracking context information containing a span identifier of the first span and a tracking identifier of target tracking to which the first span belongs into serialized Protobuf data of the second data packet to obtain a third data packet; and indicating the first micro-service to send the third data packet to the second micro-service, thereby realizing tracking of the data packet level on the tracking granularity, and facilitating rapid positioning of an anomaly or a fault by the tracking of the data packet level.

The present invention discloses a method for identifying vehicles based on signaling data, including: S1 obtaining terminal signaling data, and performing preprocessing to obtain user trajectory data; S2 identifying and obtaining the corresponding vehicle type based on the user trajectory data; S3 extracting conventional feature values ​​based on the user trajectory data and the corresponding vehicle type, and obtaining the distribution of each feature value; S4 establishing conventional feature rule strategies based on conventional feature values ​​and distribution; S5 establishing advanced feature rule strategies based on user trajectory data and distribution; S6 establishing expert system rules based on conventional feature rule strategies and advanced feature rule strategies; S7 verifying and adjusting the expert system rules to obtain the optimal expert system rules; S8 identifying the terminal signaling data to be tested based on the optimal expert system rules to obtain the vehicle type. The vehicle type to which the signaling data belongs is efficiently and accurately identified through the optimal expert system rules.

The present application provides a close contact tracking method, device, storage medium and electronic device, which stores the close contact record data table containing the encrypted identification code of the first user and the encrypted identification code corresponding to the close contact on the blockchain node in advance. When a user status changes, the encrypted identification code is decrypted through smart contract technology, the encrypted identification code of the close contact on the blockchain is obtained, and the public key and private key of the close contact are extracted according to the key number of the close contact, and the encrypted identification code corresponding to the close contact is decrypted to obtain the personal information of the close contact, and a notification message is sent to the corresponding close contact to realize the tracking of close contacts. In the process of tracking close contacts, the present application provides encryption protection for user personal information, and realizes the tracking function of close contacts without providing user personal privacy information (behavior data or location data, etc.).

The embodiment of the present application discloses an order processing method, device, computer equipment and storage medium of a trading system. The method includes: obtaining target source data of a target order; when the trading system is in hardware mode, generating a target identifier of the target source data, adding the target identifier to the target source data, and storing the target source data carrying the target identifier in a consistent cache; transferring the target source data carrying the target identifier to a first processing node; determining whether the convergence node receives the processing result carrying the target identifier output by the first processing node; if received, taking out the corresponding target source data from the consistent cache, and transferring the target source data to a second processing node; if not received, discarding the target source data carrying the target identifier in the consistent cache, and re-acquiring the target source data of the target order. This solution can shorten the recovery time of the system and improve the user experience when only hardware failure occurs.

The present invention relates to a method for tracking energy consumption of a battery-swap vehicle based on a monitoring platform, and the battery management system of the battery-swap vehicle is replaced synchronously each time the battery is replaced. The method for tracking energy consumption of a battery-swap vehicle based on a monitoring platform latches the total cumulative power consumption of the current vehicle calculated in the VCU each time the battery-swap vehicle is turned off and powered on. When the battery-swap vehicle is turned on and powered on after undergoing a battery swap, the VCU relies on the battery swap flag to identify the battery swap action and calculates correction parameters according to the current battery cumulative discharge amount forwarded by the BSM at the current moment and the current vehicle cumulative total power consumption latched by the VCU when the battery-swap vehicle was turned off and powered on before the current battery swap action is executed, and uses the correction parameters to correct the current battery cumulative discharge amount forwarded in real time by the BSM. The method for tracking energy consumption of a battery-swap vehicle based on a monitoring platform of the present invention is highly versatile, and does not require changes to the energy consumption tracking method of the original monitoring platform, so as to effectively achieve tracking of the energy usage of the battery-swap vehicle throughout its life cycle.

The invention provides a dual-frequency phase-comparison underwater acoustic ranging method, which comprises the following steps that: step 1, a sonar transmitter transmits a dual-frequency continuous wave signal to a target, and a sonar receiver receives a target echo; 2, for one frame of data of the target echo, two line spectrum peak values with the maximum amplitude and the second maximum amplitude in a power spectrum are searched, and a frequency difference is obtained; according to the frequency difference range and the amplitude threshold, carrying out availability confirmation on the two line spectrum peak values; and 3, comparing phases corresponding to peak points of the peak values of the two line spectrums, and determining a target distance of the current frame through a phase difference. According to the method, the continuous wave system sonar is matched with the multi-frequency phase comparison technology for target distance measurement, the precision of phase measurement is higher than that of time delay measurement, and the sensitivity of the phase difference of double-frequency signals to random noise is low, so that the influence of a multi-path effect and noise can be effectively reduced, and the accuracy and reliability of distance measurement are remarkably improved.

The application discloses a kind of wild fire smoke cluster and its boundary vector automatic identification method, system, storage medium and electronic equipment, belong to satellite remote sensing and disaster monitoring technical field.Method includes: obtaining satellite active fire point, fire event and UVAI data;Fire source area is positioned based on fire event geographic location and initial plume pixel is marked;The spatially continuous smoke cluster connected domain is identified by iterative region growing algorithm;According to the specific distribution form of connected domain pixel in satellite pixel matrix, the accurate closed boundary vector is automatically generated using matching geometric algorithm;Finally, using multiple criteria, the spatial isolated independent smoke cluster is screened out.The application avoids the defects that traditional image method is easily disturbed by environment from physical principle, realizes fully automated processing without training data, and can output vector boundary that can be directly used for diffusion and emission evaluation, significantly improves the accuracy, automation degree and application value of wild fire smoke cluster monitoring.

The invention discloses a bank industry data governance system, and the system comprises a data extraction module which is used for extracting and storing business data; the data sampling module is used for sampling the extracted service data and asynchronously reporting the sampled data to the kafak; the governance rule configuration module is used for configuring a data governance rule and a data sampling rule; the index calculation module is used for acquiring the sampled data, verifying the data and writing the non-compliant data back into the relational database; the data query module is used for querying non-compliant data, acquiring permission setting and controlling a visible data range; and the notification module is used for issuing the data governance progress to the corresponding principal. According to the method, data autonomy of each team in the data production process is realized, additional data governance specialists are not needed, human input is reduced, and time and cost overhead caused by repeated analysis of total data is solved.

The application discloses a kind of blind watermark embedding and extraction model training method and device.The method comprises: satellite image tile and watermark binary image are input to the blind watermark embedding and extraction model to be trained;The satellite image tile is processed, and the satellite image feature of the satellite image tile is obtained;The watermark binary image is processed, and the watermark feature of the watermark binary image is obtained;The satellite image feature and the watermark feature are connected and processed, to generate watermark image;According to the watermark image, the satellite image tile and the watermark binary image, the loss value of the blind watermark embedding and extraction model to be trained is calculated;In the case where the loss value is in the preset range, the trained blind watermark embedding and extraction model to be trained is used as the final target blind watermark embedding and extraction model.The present application can improve the imperceptibility of embedded watermark, and the production efficiency of information product.

This application discloses a code scanning method, electronic device, storage medium, and computer program product, relating to the field of image processing technology. The method includes, in response to a code update, identifying a changed file representing the code update and performing change dependency parsing on the changed file; if the parsing result indicates that the changed file has dependencies, then determining the dependent files corresponding to the dependencies based on the dependency graph corresponding to the changed file, wherein the dependency graph represents the logical dependencies between the application layer, business logic layer, and data processing layer; determining a change set containing the changed file and all dependent files, and scanning and analyzing the updated code of the changed file within the change set and the code in the dependent files that has a strong correlation with the updated code. This application improves the accuracy of code scanning.

The invention relates to the technical field of non-electrical variable control, in particular to a simulation turntable control method and device based on signal source tracking, and the method comprises the steps: obtaining the angle of a first rotating shaft under each historical regulation and the angle of a second rotating shaft before each regulation; and according to the angle of the first rotating shaft under each historical regulation and the angle of the second rotating shaft before each regulation, the regulation duration of the first rotating shaft at the current moment is obtained. And obtaining the reliability of the optimal direction angle predicted value of the first rotating shaft at each moment after the current moment according to the current moment and the optimal direction angles of the plurality of first rotating shafts before the current moment. And according to the reliability of the optimal direction angle of the first rotating shaft at the current moment and the optimal direction angle predicted value of the first rotating shaft at each moment after the current moment, the tracking of the signal source by the control turntable is realized. According to the method, the optimal PID parameter is adaptively adjusted, so that the response speed and flexibility are improved, and finally, the accurate tracking of the signal source is realized.

The invention discloses a holder identification and capture method and system based on an abnormal scene, and relates to the technical field of intelligent equipment. Performing frame extraction processing on the video stream according to a first preset period to obtain an initial image set; determining a target background and a target image according to the initial image set, and if the target image exists, performing background separation on the target image according to the target background to obtain a foreground image; performing initial key point extraction on the foreground image to obtain an initial key point set, performing object recognition according to the initial key point set, and if an object is recognized, performing target key point extraction on the object to obtain a target key point set; and tracking the object in real time according to the target key point set until the object cannot be identified in the foreground region. The target background and the target image are determined according to the image obtained by frame extraction, direct use of a fixed background is avoided, the accuracy of subsequent object recognition is improved, and the accuracy and effectiveness of target recognition and capture are improved by performing key point recognition on the recognized object.

This invention belongs to the field of textile fiber technology and discloses a radiation-cooling composite yarn and its preparation method. The radiation-cooling composite yarn includes an elastic core, an intermediate covering layer, and an outer layer; the intermediate covering layer covers the outside of the elastic core; the outer layer covers the outside of the intermediate covering layer and includes a radiation-cooling nanofiber membrane. This invention provides a radiation-cooling composite yarn comprising an elastic core, an intermediate covering layer, and an outer layer arranged in three layers; the outermost radiation-cooling nanofiber membrane can efficiently reflect sunlight and radiate heat outward through atmospheric windows, achieving passive cooling of the fabric; simultaneously, when the human body temperature is lower than the outdoor temperature, the fabric has a certain degree of heat retention due to the presence of still air inside the elastic core of the yarn; based on the yarn composition, the movement of the human body can be tracked by utilizing the law of yarn elongation change and its resistance change.

The utility model discloses a carton paging FRID (radio frequency identification) electronic tag plane labeling machine which mainly comprises a rack, a paging component, a label conveying device, a labeling device, an RFID reader-writer, a code reading detection component, a removing conveying component and a collecting conveying component. The paging part is located on the left side of the equipment, and the labeling conveying part is installed above the rack and connected with an outlet of the paging part. And the labeling device is mounted above the label conveying device. And the RFID reader-writer is fixedly mounted on the right side of the labeling device. The code reading detection assembly is fixedly installed below the labeling conveying assembly. An inlet of the removing conveying component is connected with a label conveying outlet, and the collecting conveying component is located on the right side of the removing conveying component. According to the labeling conveying device, the labeling conveying number can be increased or decreased according to requirements by labeling conveying users, so that the labeling device is suitable for labeling cartons with different areas. Through the swinging removing conveying component, defective products are removed accurately and timely, the production efficiency is improved, and real-time monitoring and tracking, safe anti-counterfeiting and traceability of packaged products are achieved.

The invention belongs to the technical field of biological genes, and discloses a method for identifying RNA interaction protein based on a Turbo ID technology and an MCP / MS2 system, the method can be used for identifying protein interacting with RNA in vitro or in vivo, and the method specifically comprises the following steps: firstly, respectively constructing RNA expression vectors inserted with MS2 tags, then constructing fusion protein vectors expressing MCP-Turbo ID, and finally constructing fusion protein vectors for expressing MCP-Turbo ID; the method comprises the following steps of: inserting RNA (Ribonucleic Acid) into an MS2 tag, transgenosis into a plant receptor by utilizing an agrobacterium tumefaciens mediated genetic transformation method to obtain a transgenic plant material expressing MCP-Turbo ID, combining the RNA inserted with the MS2 tag with the MCP-Turbo ID in vivo / in vitro by utilizing a hybridization or in-vitro incubation method, further enabling the Turbo ID to be adjacent to the RNA, biotinylating the RNA binding protein, and obtaining a transgenic plant material expressing the MCP-Turbo ID. And then enriching biotinylated protein by adopting streptavidin magnetic beads, and identifying and analyzing through Western Blot and mass spectrometry. The method not only solves the problem that the interaction protein of specific RNA in a living cell environment cannot be effectively identified in the prior art, but also can capture a transient or low-affinity RNA-protein interaction relationship.

The invention discloses a cooperative control method for a floating type photovoltaic-hybrid energy storage system, and the method employs a flexible connection and semi-tensioning mooring design, and is suitable for a 0-degree head wave long-period working condition. Improving maximum power tracking control, and inhibiting power point oscillation based on a partition variable step size and a prediction power algorithm; hybrid energy storage power is distributed through a low-pass filter, a storage battery and a super capacitor cooperatively process high / low frequency fluctuation, and the service life is prolonged by combining charge partition management; a virtual synchronous generator VSG adaptive control strategy is provided, an improved particle swarm optimization algorithm is adopted to optimize a J / D initial value, and frequency fluctuation is dynamically suppressed; an optical storage grid-connected system is established for verification, and the VSG technology enables the power frequency fluctuation to be quickly stabilized, thereby guaranteeing the stable operation of the system.

The invention relates to a method for producing an electrode from an electrode-continuous web (9), comprising: a coating process in which the electrode-continuous web (9) is coated with an electrode coating (5); and a cutting process in which the uncoated region (11) is cut, in particular while forming the arrester flag (7). The method has a marking process in which an uncoated region (11) of the electrode-continuous web (9) is marked for product tracking in the case of origin certification or quality complaints. According to the invention, the marking process is an imprint process in which a continuous imprint pattern (19), which is void-free and varied in the production direction (F), is imprint as a mark into the uncoated region (11) of the electrode-continuous web (9).

The invention provides a three-dimensional space positioning system based on laser and camera fusion, and relates to the field of three-dimensional space positioning, the three-dimensional space positioning system comprises a ground terminal subsystem and a mobile terminal subsystem, the ground terminal subsystem comprises a laser emitter, a ground camera and a mechanical arm, and the mobile terminal subsystem comprises a mobile device and a far-end camera. According to the positioning system, the laser sensing technology and the camera vision technology are fused, and space positioning of mobile terminal equipment is achieved through cooperative work of the ground terminal and the mobile terminal; the method not only gets rid of the constraint of traditional satellite navigation, but also avoids the common accumulative error problem of an inertial sensor, thereby showing excellent stability and positioning precision in various complex environments; the three-dimensional space positioning system can be widely applied to the fields of mobile robots, unmanned aerial vehicle inspection and the like, powerful technical support is provided for guaranteeing operation safety and achieving precise control, and the popularization value is high.