487 results about "Computer terminal" patented technology

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 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.

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 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 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.

The invention discloses an AI voice assistant implementation method and equipment based on a cloud computer terminal and a medium, belongs to the technical field of cloud computers and voice assistants, and aims to solve the technical problems of how to apply an AI voice assistant to the cloud computer terminal and awaken the assistant by customizing an awakening word, fill the blank that the cloud computer terminal does not belong to a voice assistant of the cloud computer terminal and improve the voice assistant implementation efficiency. According to the technical scheme, voice wake-up and interaction based on the Android platform comprises the steps that a background thread decompresses a voice model, a microphone monitoring service is automatically started after decompression is completed, a voice recognition service continuously captures microphone input, and a recognition result is returned in real time; when a preset wake-up word is detected, popping up a floating window to enter an interaction mode, managing text display and recording states in an interaction process, and realizing timeout automatic processing through a delay task; speech recognition and interaction control based on streaming audio; performing asynchronous voice question-answer response; asynchronous speech synthesis and transmission; and playing the audio after the voice synthesis is successful.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

The invention relates to the technical field of data processing, and discloses an automatic fault analysis method and device for a computer terminal, and the method comprises the steps: collecting the multi-dimensional sampling data of at least one structure level of the computer terminal based on a target sampling frequency; determining an abnormal state of a root cause to be identified based on the multi-dimensional sampling data; based on the multi-dimensional sampling data and the abnormal state, determining a candidate root cause corresponding to the abnormal state in each structure hierarchy according to a target hierarchical cause and effect graph; and performing hierarchical evidence fusion analysis on the at least one candidate root cause, determining a target root cause corresponding to the abnormal state, and generating a target repair strategy according to the target root cause, so that comprehensive root cause analysis can be performed according to multi-dimensional sampling data, and a corresponding repair strategy can be generated. And automatic fault monitoring, analysis and strategy generation of the computer terminal are realized.

The invention discloses an emergency medical rescue drill teaching system based on virtual reality. The system comprises a computer terminal; the data acquisition module comprises a plurality of sensor nodes and is used for acquiring physical quantity data; the VR device comprises a head-mounted display device and a simulation training dummy; wherein the computer terminal is configured to extract student static posture features and standard action dynamic trajectory features; performing time sequence alignment on the student action sequence and the standard action sequence, and outputting a judgment result; and triggering state transition or generating a quantitative evaluation report based on the judgment result. Therefore, the input standard demonstration film is converted into the standard action sequence through the VR equipment, the data acquisition module and the intelligent algorithm cooperating with the corresponding function, so that the standardized training of medical rescue can be realized through the interaction process between VR and students in the teaching process, the teaching effect is improved, and the teaching efficiency is improved in the self-practice process of the students. Errors can be corrected in time, and a wrong operation habit is prevented from being formed.

The utility model provides an automatic chip testing device which comprises an outer box, a lifting platform and a chip connector are arranged outside the outer box, and a transmitting coil is fixedly arranged on the lifting platform; a motor control module, an implanted chip control module and a receiving coil are packaged in the outer box; the lifting platform comprises a platform, a plurality of guide rods and a motor; one end of each guide rod is fixedly connected with the outer box, the other end of each guide rod is slidably connected with the platform, and the guide rods are symmetrically arranged relative to the platform; the fixed end of the motor is fixedly connected into the outer box, and an output shaft of the motor is in transmission connection with the platform. The assembly module is simple and reasonable in structure and high in integrity, the coupling distance between the transmitting coil and the receiving coil can be adjusted through the design of the lifting platform, testing of different coupling distances between the transmitting coil and the receiving coil is achieved, testing data can be stored in a computer terminal, data recording errors are reduced, and the testing efficiency is improved. And the test efficiency is effectively improved.

According to an aspect of the present invention, there is provided a method of providing identifying information of an individual using QR codes, comprising: obtaining identifying information of an individual at a computer terminal; associating the identifying information with a QR code; and attaching the QR code to the person of the individual.

The invention discloses a model reconstruction method, a computer terminal, a storage medium and a program product. The method relates to the field of three-dimensional reconstruction and data processing, and comprises the following steps: constructing a static model based on a first video frame in a target video; performing action detection on the first video frame and the second video frame to obtain a first action parameter of the target object in the second video frame; predicting a deformation parameter of the at least one element based on the first action parameter and / or a static model; and reconstructing the static model of the target object based on the deformation parameter and the first action parameter to obtain a dynamic model of the target object. According to the method and the device, the technical problem of poor reconstruction quality of elements with non-rigid deformation in a static model in the related technology is solved.

The present invention discloses an automated exception handling system based on remote monitoring and management, which relates to the technical field of remote monitoring and management, and includes a front-end monitoring and acquisition subsystem, a network client, and an exception handling subsystem; the front-end monitoring and acquisition subsystem adopts hardware compression and software decompression technology, and realizes remote video monitoring operation through the Web function of Windows IE browser on the computer terminal, and establishes a video monitoring workstation; the network client is used to classify and store the collected data, and to judge and verify the data for abnormality, and the verification value is manually set to determine whether there is an abnormality, and the abnormality is separately saved, and then the abnormality is transmitted to the exception handling subsystem. The automated exception handling system based on remote monitoring and management greatly improves the operation and maintenance management efficiency of production equipment through the combination of remote monitoring and automated exception handling, reduces the workload of manual inspection, and reduces the operation and maintenance cost.