598 results about "Computer terminal" patented technology

The invention discloses a cloud computer end-to-end fault root cause analysis method and system, and relates to the technical field of operation and maintenance data analysis, and the method comprises the steps: deploying data collectors on a virtual resource pool, a multi-stage cloud management platform and a cloud computer terminal, and monitoring and collecting various operation and maintenance data in real time; a unified operation and maintenance management center is introduced to complete the following work: providing management and configuration services of the data collector; receiving and summarizing operation and maintenance data; various AI models are accessed, operation and maintenance data from different sources are distributed based on the types of the AI models, the AI models perform deep analysis and diagnosis on the operation and maintenance data, and potential fault modes or abnormal behaviors are identified; customizing an alarm strategy, an alarm processing flow and an alarm notification mode; and introducing an AIOps service to generate an alarm and fault analysis report according to the analysis and diagnosis results of the AI model. According to the method, the service quality of the end-to-end full link of the cloud computer is monitored in real time, so that faults can be quickly positioned, early warning can be performed in advance, and the operation and maintenance cost and the fault risk are reduced.

The invention discloses a packaging box printed matter printing quality detection method, which comprises the following steps of: acquiring a high-resolution printing image through an image acquisition module, preprocessing and segmenting the printing image by an image processing module, optimizing image quality, classifying the preprocessed image by an image classification module according to characters, patterns and color blocks, and detecting the printing quality of a packaging box printed matter. The defect detection module performs multi-dimensional detection on the classified preprocessed images based on image parameter data, the quality analysis module quantitatively evaluates quality scores of characters, patterns and color blocks based on detection results, and the computer terminal generates a comprehensive score through weighting calculation and automatically generates a detection report; according to the packaging box printed matter printing quality detection method, complex defects such as font errors, stroke breakage, pattern deviation, color deviation and stains are effectively recognized through multi-dimensional defects, the manual reinspection cost is reduced through full-process automatic processing, and the quality of printed matter is visually reflected through a quantitative evaluation system.

The invention belongs to the technical field of intelligent medical treatment, and discloses a camera-free intelligent vital sign monitoring patient bed system which comprises a sickbed body, a vital sign monitoring module, a state sensing module, an abnormal behavior recognition module, an intelligent reminding module and a computer terminal. The sickbed body is used for sensing whether a patient is on the bed, the lying position and the body movement condition, the vital sign monitoring module is used for monitoring vital signs of the patient in real time, the state sensing module is used for judging the life state of the patient, and the abnormal behavior recognition module is used for recognizing whether the behavior of the patient is abnormal. The intelligent reminding module is used for reminding medical staff to pay attention to the condition of the patient, and the computer terminal is used for displaying the real-time state of the patient in each sickbed. According to the camera-free intelligent vital sign monitoring patient bed system, the vital signs, states and behaviors of the patient can be monitored in real time on the premise that the privacy of the patient is protected, and a nurse is reminded to deal with abnormal conditions in time.

The present application is applicable to the field of communication technology, a method of communication between applications, a terminal device and a computer readable storage media are provided. The method comprises: the first application establishes a connection with the server based on an interface provided by the first client, the second application establishes a connection with the serverbased on an interface provided by the second client, As such, a communication connection is established between that first application and the second application, the first application then sends a first communication message to the second application through the communication connection, the second application may return a second communication message to the first application through the communication connection, after the communication connection between the first application and the second application is completed, the communication connection between the first application and the second application is disconnected by the release request, and since the interface provided by the client has information for converting the data of the application to conform to the communication protocol. The communication method development period between the applications is short and the stability is good.

The invention relates to the technical field of natural language processing and image processing, and discloses an emotional music adjusting method and terminal based on dynamic perception and multi-modal fusion. The method comprises the following steps: acquiring multi-dimensional feature data of a user, processing an unstructured text through a dynamic sensing field based on a large language model, and carrying out dynamic weight distribution on the multi-dimensional feature data to generate fusion features; collecting facial image data of a user, extracting facial emotion features through a visual converter model, and mapping the facial emotion features to a music feature space; the features of the two modes of text and image, namely fusion features and facial emotion features, are input into a music generation module, and personalized treatment music is generated through feature fusion coding, music structure planning and a layered decoding architecture. And music generation parameters are adjusted through a dynamic feedback mechanism to form closed-loop control. According to the method and the computer terminal, full-process intelligent processing from user feature capturing to emotional music generating is achieved, and the treatment effect and the user experience are improved.

The invention belongs to the technical field of underground engineering, and discloses an omnibearing intelligent monitoring system, method and device for an underground anchoring pull-out test. According to the method, electromagnetic signals generated in the stress process of the anchor rod are captured in real time through an electromagnetic sensor, and internal stress changes and energy distribution are reflected; the deformation and stress states of the anchor rod in the dynamic environment are evaluated through a strain gauge and accelerometer combined data combination method, the deformation condition of the anchor rod is monitored through the strain gauge, and the stress-strain relation is recorded; an accelerometer is used for detecting the dynamic response of surrounding rock mass so as to evaluate the overall stability of the rock mass; a coupling medium is injected, the computer terminal stores the collected signals locally or in a cloud end and analyzes the signals, stress and deformation parameters in an anchor rod pull-out test are extracted, and an anchor rod stress cloud picture is generated in real time. According to the method, the safety and reliability of underground engineering are remarkably improved, and a new technical support is provided for evaluation of anchoring quality.

The technical problem to be solved by the invention is to provide the expressway carbon emission analysis method based on the dynamic Bayesian network, the storage medium and the computer terminal equipment which can realize dynamic analysis and probabilistic evaluation of carbon emission in an expressway operation period. The invention discloses a highway carbon emission analysis method based on a dynamic Bayesian network. The highway carbon emission analysis method comprises the following steps: establishing a Kaya identical formula according to key factors influencing the total highway carbon emission amount of a research target area; establishing a dynamic Bayesian network model by taking the key factors as hidden variables and taking primary variables and secondary variables which influence the hidden variables as observation variables; performing hidden variable state simulation by using the dynamic Bayesian network model to generate hidden variable posteriori distribution samples at different time points; calculating the contribution degree of each hidden variable in each hidden variable sample by using an LMDI decomposition method, counting the contribution degrees of all samples, and generating probability distribution of the contribution degrees of the hidden variables; according to the method, a dynamic emission reduction strategy can be formulated more scientifically and accurately.

The invention discloses a method and equipment for optimizing a battery health state prediction model based on federal continuous learning, and relates to the technical field of battery health management. The method comprises the following steps: S1, locally training a battery state of health (SOH) prediction model and a data monitoring model, uploading local parameters to a central server, integrating the local parameters by the central server, issuing and repeatedly training until a loss function is converged, and waiting for a local training and federal learning retraining instruction; s2, the SOH prediction model outputs a battery health degree, and the data monitoring model outputs a data drift anomaly degree; and S3, judging the accuracy of an output result of the SOH prediction model according to the data drift anomaly, and continuously optimizing the SOH prediction model through federal re-learning triggered by parameter fine tuning triggering local training and model re-training. According to the method, joint optimization of the multiple vehicle-mounted computer terminal battery prediction models is achieved, the model performance is continuously optimized in the use process, the models are made to continuously adapt to new data, and lifelong learning of the models is achieved.

The present application relates to the technical field of picture segmentation. Disclosed are a lightweight segmentation method and device, and a storage medium. In the method, a brand-new lightweight segmentation model is created, a structure including an encoder module and a decoder module is used in the model, and a global feature and a high-level semantic feature are transmitted by means of skip connection, that is, a self-attention feature vector having the global feature and a deep convolution feature vector having the high-level semantic feature are only transmitted to the decoder module, and a process feature vector having a local feature and a low-level semantic feature is not transmitted to the decoder module, so that the number of channels of a shallow feature vector is reduced, thereby reducing the parameter quantity and the calculation quantity, and thus making the lightweight segmentation model in the present application perform picture segmentation on a common computer terminal to obtain a target surgical site image.

The invention relates to the technical field of rehabilitation medical treatment and neural engineering, and particularly discloses an epidural electrical stimulation lower limb rehabilitation system and method based on a brain-computer interface, the epidural electrical stimulation lower limb rehabilitation system comprises a weight reduction suspension device, an epidural electrical stimulation module and a brain-computer interface module, the epidural electrical stimulation module controls left and right electrical stimulation through a program controller, and the brain-computer interface module comprises a wireless electroencephalogram acquisition device and an interaction terminal and is used for acquiring electroencephalogram signals of a movement area of a patient and presenting a virtual gait scene and voice prompt at a computer end. The method comprises the steps of electroencephalogram signal collection and feature extraction, motion intention judgment, stimulation control and feedback backtracking, and by combining a motion intention decoding result with electrical stimulation output, activation of a lower limb target muscle group is achieved, a training closed loop is constructed, and the method is used for postoperative rehabilitation of a spinal cord injury patient.

The invention relates to a vehicle control method and a vehicle control system. The method comprises the following steps: establishing interconnection with a vehicle terminal; the desktop application is sent to the vehicle terminal, the vehicle terminal displays the desktop application on a display screen, and when a touch instruction for the display screen is detected, the touch instruction is sent to the mobile terminal; receiving the touch instruction and the intelligent cabin data sent by the vehicle terminal; and the intelligent cabin data is analyzed, a control instruction corresponding to the touch instruction is obtained, and the control instruction is sent to the vehicle end execution equipment so as to control the vehicle end execution equipment to respond to the control instruction. According to the invention, the intelligent cabin function of the vehicle is set in the mobile terminal, and the intelligent cabin function is operated by using the resource of the mobile terminal home terminal, so that the deployment of the intelligent cabin function at the vehicle terminal can be omitted, the experience of touch control of the vehicle terminal can be provided for a user, and the interconnection application of the mobile terminal and the vehicle terminal can be expanded.

The invention relates to an integrated experiment table system for measuring electrolytic performance and internal temperature of an alkaline water electrolytic bath. The integrated experiment table system comprises an environment box, the alkaline water electrolytic bath for experiments, a direct-current power supply, a hydrogen side gas-liquid separation bottle, an oxygen side gas-liquid separation bottle, a temperature measuring line, a paperless recorder and a constant-temperature water bath. The alkaline water electrolytic bath for experiments can change flow field design, small chamber scale, heat dissipation and bath body environment temperature control components so as to meet diversified experiment requirements. And the alkali liquor circulating pump is connected with the gas-liquid separation bottle and the electrolytic bath to realize alkali liquor circulation. And the computer terminal is in communication connection with the direct-current power supply, the paperless recorder and the alkali liquor circulating pump and is used for data collection and component control. The hydrogen-side gas-liquid separation bottle and the oxygen-side gas-liquid separation bottle have specific structures for gas-liquid separation and alkali liquor treatment. Compared with the prior art, the experiment table system is easy to disassemble and assemble, stable in operation, capable of decoupling key parameters and obtaining dynamic temperature data in the electrolytic cell, large in freedom degree and capable of guiding industrial hydrogen production strategy making and assisting related research and product research and development of the alkaline water electrolytic cell.

The invention provides a layered water injection well injection profile testing system, electronic equipment and a storage medium, and the system comprises a plurality of visible light communication modules which are respectively installed on eccentric water distributors of all water injection layers and on water injection pipe couplings between any two water injection layers; the plurality of sensing monitoring modules are mounted on the eccentric water distributor and are used for acquiring underground monitoring data of the layered water injection well; and the upper computer terminal is used for processing the underground monitoring data based on the group strategy optimization model to obtain an optimized water injection strategy, further generating a water injection control instruction, and transmitting the water injection control instruction to the eccentric water distributors of the water injection layers through a downlink channel. According to the scheme, the LED is used for transmitting data under the dark well, the problems existing in an existing transmission mode are solved, the original water injection well layout structure is not changed through installation of the hardware module, space is saved, and more stable and reliable light transmission can be achieved.

The utility model belongs to the technical field of slope ecological protection, and provides a high slope rainwater collection and automatic irrigation system based on the Internet of Things, which comprises an integrated control assembly, a signal acquisition assembly, an irrigation mechanism and a rainwater collection mechanism, the integrated control assembly is wirelessly connected with the signal acquisition assembly and the irrigation mechanism; the signal acquisition assembly is provided with a soil humidity sensor; the irrigation mechanism comprises an irrigation pipe network and a reservoir; the irrigation pipe network comprises a main pipe, a plurality of branch pipes and irrigation emitters fixedly connected with the branch pipes; the main pipe is communicated with the reservoir; and the rainwater collecting mechanism is communicated with the reservoir. The irrigation system can be logged in through the mobile terminal or the computer terminal, the upper limit value and the lower limit value of the soil humidity are preset remotely, the soil humidity sensor is used for monitoring, and the irrigation mechanism is controlled to perform full-coverage irrigation on vegetation according to the implementation humidity automatic feedback of the soil. Automatic irrigation of high slope vegetation is achieved, and the irrigation effect is good.

The invention discloses a non-invasive wearable vascular arteriosclerosis assessment system and method based on multi-mode pulse wave signal fusion, and belongs to the field of vascular function assessment. The system comprises a distributed acquisition front end, a butterfly-shaped flexible substrate, an integrated double-accelerometer, a four-wavelength LED (530nm / 660nm superficial blood vessel measurement), a 810nm / 940nm deep artery measurement device, a double-photodiode, a double-impedance electrode and a pressure sensor. The central integrated control end processes a multi-mode signal and realizes pressure-LED current closed-loop control; the upper computer terminal extracts the multi-modal pulse wave time difference of the limbs and the neck, the local and regional pulse wave conduction velocity and the blood oxygen hemoglobin change parameters induced by the standardized posture, the dimension is reduced to 30 through principal component analysis, then the parameters are input into the random forest regression model, and the vascular elasticity index is output. Signal stability is improved through flexible fitting, single-source limitation is solved through multi-modal fusion, signal quality is guaranteed through closed-loop control, sensitivity is enhanced through dynamic physiological excitation, and accuracy and universality of arteriosclerosis assessment are improved.

The invention discloses a plasma parameter probe-microwave collaborative diagnosis system. The plasma parameter probe-microwave collaborative diagnosis system comprises a diagnosis probe, a reflecting antenna, a vector network analyzer and a computer terminal, according to the method, global and local information of plasma parameters is provided through the diagnosis probe and the reflecting antenna, inversion is performed on S11 data and plasma electron density of a monitoring point where the diagnosis probe is located through the trained neural network model, and plasma density distribution and plasma collision frequency are obtained. Cooperative diagnosis of the plasma is completed, and the density distribution of the plasma and the collision frequency of the plasma can be rapidly and accurately obtained.

The invention discloses a consumer automatic locking method based on automobile 4S store intelligent sales. The consumer automatic locking method comprises the steps that a 4S store controller is combined with a face camera and a face recognition and proofreading module to carry out face collection and locking on a consumer; an entrance guard worker terminal builds and supplements consumer files entering the 4S store; consumption data are supplemented and shared on a consumer terminal by a consumer; the stay area of the consumer in the 4S store is monitored by adopting an area identification module and an area monitoring camera; and the server is used for formulating consumer purchase track information. The method has the advantages that through the steps, the identity of the consumer is automatically recognized and locked, the purchase intention of the consumer is quickly known, and intelligent recommendation and automobile sales are achieved.

The utility model discloses a device for detecting the safety performance of a mining belt conveyor. The device comprises a speed sensor, a pressure sensor, a displacement sensor, a tilt angle sensor, a vibration sensor, a weighing sensor, a tension and pressure sensor, a temperature, humidity and atmospheric pressure sensor, a tablet terminal and a computer terminal which are arranged on an underground belt conveyor device. All components of the device are provided with zigbee wireless modules, and each module comprises a high-performance wireless microcontroller with the model of JN5161A and a completely integrated front-end module with the model of RFX2401C. The device for detecting the safety performance of the mining belt conveyor can comprehensively measure and display the speed, the brake oil pressure, the carrier roller displacement, the axial vibration speed, the radial vibration speed, the tension and pressure, the weighing, the angle, the environment temperature, the environment humidity and the atmospheric pressure of the mining belt conveyor. The measurement parameters can be wirelessly sent to a tablet terminal and a computer terminal and displayed in real time through double terminals of an app of a tablet and an upper computer of a computer, and curve graphs and reports can be output, and early warning prompts and the like can be carried out.

The invention discloses a tunnel longitudinal deformation self-sensing system and method based on an intelligent bolt, the system comprises the intelligent bolt and a computer terminal, the intelligent bolt comprises a bolt main body connected to a tunnel segment; the fiber bragg grating sensor is installed in the bolt body and used for generating corresponding wavelength change based on deformation of the tunnel segment and outputting a wavelength change optical signal; the integrated circuit board is used for receiving the wavelength change optical signal, calculating the bolt axial force of the bolt body based on the wavelength change, and further calculating the longitudinal curvature of the tunnel; and the threshold indicator lamp is used for controlling the light emitting color of the threshold indicator lamp according to the range value of the longitudinal curvature of the tunnel. Compared with the prior art, the method has the following beneficial effects that the stress deformation of the bolt is monitored in real time, the relationship between the stress deformation of the bolt and the longitudinal deformation of the tunnel is established, and finally the tunnel deformation condition is visually reflected through the intelligent bolt with the threshold indicator lamp, so that the problem of poor deformation perceptibility in current tunnel monitoring can be solved.

The invention provides a crop maturity identification method based on deep learning, and the method achieves the precise identification of crop maturity through the cooperative work of a multi-source data obtaining device, a data processing module, a data analysis module and a computer terminal. The method comprises the following specific steps: acquiring appearance characteristic data through primary data acquisition, preprocessing the data, analyzing the crop maturity probability based on the preprocessed data, performing secondary data acquisition, analyzing the crop maturity according to the maturity characteristic data, generating and executing a crop harvesting scheme, and finally optimizing an identification model through a training model. The method combines color features, texture features, morphological features, time correction factors and other multi-dimensional data of crops to calculate the crop maturation probability, and when the maturation probability reaches a preset value, subsequent steps are performed, so that the risk of misjudgment caused by subjective deviation of artificial experience and invalid data redundancy is reduced; the accuracy and efficiency of crop maturity identification are improved.

The invention provides a method and device for calculating the crack propagation rate of a rubber material and a computer terminal.The method comprises the steps that the change of structural parameters of a unit rubber material under pure shear deformation is recognized, the change of the structural parameters is processed, and the network chain conformation entropy change of the rubber material is obtained; obtaining rubber free energy change according to the network chain conformation entropy change, and obtaining a stress-strain corresponding relation based on the rubber free energy change and the network chain conformation entropy change; obtaining the strain energy density of the macroscopic rubber material according to the stress-strain corresponding relation, obtaining a tearing energy peak value based on the strain energy density, and then obtaining the crack growth rate by combining the calculation logic of a crack growth rate model of Lake-Lidley. According to the method, a new calculation model of the crack growth rate is provided from the principle, and a theoretical basis is provided for life prediction and maintenance of rubber materials, rubber design and modification, fault analysis and damage tolerance design.

Magnetotherapy and compressive microvibration apparatus for the tissues comprising a handpiece (100) provided with a recess housing a rotor (500) with installed a plurality of balls (510) rotating by means of an electric motor (600) in electrical connection with a cable (700) in turn connected to a computer terminal, wherein said balls (510) having different viscoelastic properties rotate passively upon contact with the patient's tissue through a rectangular opening (310) of the handpiece (100), wherein on the handpiece (100) an interface is created comprising a display (320), a series of indicators (330) and a plurality of buttons (340) and wherein an inducer device (800) is placed in the cavity of the rotor (500), consisting of at least one solenoid and wherein in the cap (210) of the handpiece there is a pressure (900) and temperature (760) sensor and all governed by dedicated software configured by the operator or self-adjusting via feedback.

Embodiments of the invention provide a virtual scene rendering method and apparatus. The virtual scene rendering method comprises the steps of obtaining to-be-rendered scene information and scene rendering configuration information corresponding to a target device; generating virtual scene rendering reference information based on the scene rendering configuration information and the to-be-rendered scene information; and rendering the to-be-rendered scene information according to the virtual scene rendering reference information, and obtaining a target virtual scene image for the target device. The adaptive virtual scene rendering reference information is automatically generated by adapting to the scene rendering configuration information of different devices, so that on the premise of keeping a uniform resource system, the mobile terminal can smoothly run image quality resources of a computer terminal level, and meanwhile, the computer terminal is allowed to call a more complex rendering mode to keep a better visual effect of the computer terminal.

The invention relates to a device for measuring deformation of components and nodes in a historic building wood structure, in particular to a system for measuring deformation between historic building wood components, which comprises a bracket set interlayer slippage measuring device, a column base node embedding-slippage measuring device and a mortise and tenon joint embedding-tenon pulling amount measuring device. The measuring system is mainly composed of three deformation quantity measuring devices suitable for different positions. The deformation quantity measuring devices comprise a tilt angle sensor, a small displacement sensor and a small displacement combination sensor. Measurement data are mainly collected through a static strain gauge and are simultaneously input into a computer terminal for real-time recording, data of corresponding sensors are integrated after export, and the deformation quantity required at each position is calculated. According to the invention, a set of complete measurement system suitable for horizontal and vertical relative deformation between historic building wood components is formed, and the problem that the relative deformation state between local components is difficult and inaccurate to obtain when the horizontal shear deformation of a structure is researched in the past is solved.

The invention discloses a steel structure intelligent inspection crawling robot which comprises a robot vehicle body and an upper computer terminal, the robot vehicle body comprises a vehicle frame, and the robot vehicle body further comprises a motion control system, crawling leg driving steering engines and magnetic crawling legs; the frame comprises a chassis and two supports symmetrically distributed on the two sides of the chassis in the advancing direction of the chassis, and each support is perpendicular to the chassis. The modeling of the magnetic crawling legs is designed according to the bionic spider, and two groups of magnetic crawling legs are arranged; each group of magnetic crawling legs at least comprises two magnetic crawling legs; the two groups of magnetic crawling legs are symmetrically arranged along the advancing direction of the chassis; and each magnetic crawling leg included in each group of magnetic crawling legs is connected to the bracket through a crawling leg driving steering engine. Therefore, the intelligent inspection crawling robot for the steel structure can realize automatic inspection of the steel structure.

This invention discloses a method and apparatus for improving the security of data cards, relating to the field of information security, and is invented to enhance the security of information stored in data cards. The method includes: binding a data card inserted into a first terminal to the first terminal; generating a decryption password; when a read / write operation is required on the data card, determining whether a second terminal requiring the read / write operation is the first terminal, and if so, decrypting the data card using the decryption password. This invention is mainly applicable to various data cards.

The invention discloses a pedestrian bridge vibration comfort evaluation platform considering human-bridge interaction. The pedestrian bridge vibration comfort evaluation platform comprises a self-energized sensing vibration force measurement platform and an analysis control system, the self-energized sensing vibration force measuring platform comprises a plurality of self-energized sensing force measuring tables and a servo control motor; friction nanometer generator self-powered three-way force measuring blocks are densely distributed on the self-powered sensing force measuring table; the analysis control system comprises a data acquisition module, a feedback control module and a data output module, acquires a three-dimensional pedestrian load on the self-energized sensing vibration force measuring platform in real time, calculates bridge dynamic response based on a pedestrian bridge finite element model, and further feeds back and controls the vibration state of the self-energized sensing vibration force measuring platform to simulate the actual vibration condition of the bridge; and finally, evaluating the vibration comfort of the bridge according to the dynamic response characteristics of the bridge in the whole loading process. According to the invention, real-time interaction between the computer end and the self-energized sensing vibration force-measuring platform is realized, sensing energy consumption is reduced, and a pedestrian bridge vibration comfort assessment result closer to a real situation is obtained.

The invention relates to the field of embedded technologies, in particular to an executable file processing system, an executable file processing method and embedded equipment. The executable file processing system comprises embedded equipment and a computer terminal, the computer terminal is used for preprocessing an executable file according to a first preset processing mode and a second preset processing mode so as to obtain a target executable file suitable for the embedded device; and the embedded device is used for storing the target executable file to a nonvolatile memory included in the embedded device so as to run a target application based on the target executable file. Therefore, the problems that the embedded device is low in application downloading speed and large in occupied storage resource can be effectively solved.

The invention discloses a shipborne unattended radar alignment calibration system, which relates to the technical field of shipborne alignment calibration and is characterized in that an alignment calibration task list containing conditions such as time / position / waveform parameters is configured and issued through an upper computer terminal, and a shipborne data recording and control unit is used as a center; based on navigation data and a unified time reference provided by a satellite navigation time service and positioning module, the three-dimensional compass outputs attitude data of a ship, task triggering conditions are automatically judged, antenna pointing is adjusted through attitude compensation calculation, or area scanning is executed, so that a task is completed. A radar signal source is controlled to generate a programmable radar analog signal in an active calibration mode and transmit the programmable radar analog signal through an antenna, a target true value track is generated in a passive calibration mode, and meanwhile full-process data with timestamps are recorded in a concentrated mode. According to the invention, the problems of manual dependence and inaccurate time-space control of traditional shipborne calibration in research and development of radar receivers and electronic investigation equipment are solved, and unattended operation and accurate shipborne calibration are truly realized.

The embodiment of the invention provides a program login processing method and device for a vehicle terminal, and the method comprises the steps: reading tag data stored in a near field communication tag of a vehicle through near field communication, starting an application program based on the tag data, transmitting the tag data, and uploading the tag data to a server, and receiving and displaying a program identifier and a login account of at least one program which is returned by the server and performs program synchronous login on the vehicle terminal, obtaining a submitted login authorization instruction, and uploading the login authorization instruction to the server so as to perform program login of the at least one program in cooperation with program access of the vehicle terminal, therefore, the program synchronous login of the vehicle terminal is realized.