32 results about "Remote diagnosis" patented technology

A mobile-assisted diagnostic platform and method for vertigo, belonging to the interdisciplinary field of computer vision and assistive medical care, includes a data acquisition module, a data preprocessing module, a data processing module, and a data management module. The data acquisition module collects nystagmus videos via a mobile application. The data preprocessing module uses a binary classification neural network to remove interference frames and achieves coarse pupil localization through centroid calculation. The data processing module enhances spatiotemporal, channel, and motion features through a multi-path excitation module, combines a VST architecture to achieve nystagmus type recognition, and uses a dual-branch deep learning association model to correlate nystagmus type with vertigo classification. The data management module utilizes WeChat cloud services and a WeChat cloud database, supporting multi-terminal adaptation. This invention supports remote collaborative diagnosis and treatment between doctors and patients; it requires no dedicated medical equipment, is convenient while ensuring diagnostic accuracy, significantly reduces medical costs, and is suitable for home health monitoring, primary healthcare, and remote diagnosis and treatment scenarios.

The application relates to the technical field of industrial control and process automation, and discloses a remote diagnosis predictive maintenance system for an industrial instrument cluster, which comprises a topology evolution and diagnosis module, a residual error decoupling and false alarm stripping module and a health assessment and strategy generation module.The topology evolution and diagnosis module combines a static space topology with real-time actuator state feedback to calculate a dynamic connection weight matrix, and outputs a suspected fault node set through a graph neural network.The residual error decoupling and false alarm stripping module calculates an estimated controlled deviation based on a first-order inertia transfer function, strips the estimated controlled deviation from an original residual error to obtain a decoupled residual error sequence, and performs false alarm identification and determination.The health assessment and strategy generation module extracts a degradation characteristic parameter based on the decoupled residual error sequence, calculates an instrument health index, divides a health grade, and outputs a corresponding control protection strategy.The application can effectively distinguish normal process disturbances from real instrument faults, quantitatively evaluate the gradual degradation process of the instrument, reduce the false alarm rate of monitoring, and avoid unexpected chain shutdown intervention caused by instrument degradation.

A remote diagnosis method, system, platform, and storage medium for an air conditioning system on a vehicle includes: obtaining setting information, operating data, and environmental data of the air conditioning system via an on-vehicle terminal; and determining whether the air conditioning system is abnormal based on one or more of the setting information, the operating data, and the environmental data, in a case where a return air temperature does not meet a preset condition within a preset operating time length.

The application discloses a kind of dual-mode intelligent connection switching methods of medical monitoring equipment, including medical detection equipment built-in dual-mode communication module, based on dual-mode communication module access to medical platform;Dual-mode communication module provides communication mode one and communication mode two, access medical platform by one of communication mode one and communication mode two.The application has the advantages that: using dual-mode method carries out the intelligent connection and switching of medical detection equipment, effectively guarantee the reliability and stability of communication, reduce the data transmission and interactive terminal caused by communication anomaly, improve the stability of remote medical treatment, remote diagnosis.

The application discloses a remote diagnosis cost estimation method and device, electronic equipment and a storage medium. The method comprises the following steps: firstly, n remote diagnosis devices carried on a target diagnosis platform are acquired; then, a target remote diagnosis device required when a target vehicle performs remote diagnosis is determined from the n remote diagnosis devices, so that the target remote diagnosis device is obtained; finally, a target remote diagnosis cost required when the target vehicle performs remote diagnosis through the target remote diagnosis device is determined, so that the target remote diagnosis cost is obtained. According to the embodiment of the application, the cost required when the vehicle performs remote diagnosis can be accurately estimated.

This application provides a remote operation and maintenance method and apparatus for intelligent weighing equipment. The method includes: acquiring initial acquisition data collected by a signal acquisition device and initial operating data corresponding to the intelligent weighing instrument; the initial acquisition data includes a initial dual-path force measurement data from a dual-redundant sensor and initial signal trigger data from a vehicle separator; preprocessing the initial acquisition data and initial operating data respectively to obtain target acquisition data and target operating data; determining a target state frame based on the target acquisition data and target operating data, and sending the target state frame to the operation and maintenance application layer; receiving a target remote control command from the operation and maintenance application layer in response to the target state frame; and controlling the weighing sensing layer to perform fault recovery operations according to the target remote control command to achieve rapid diagnosis and recovery. Through end-to-end data acquisition and closed-loop processing of remote commands, the efficiency of remote diagnosis and rapid recovery of weighing equipment is improved.

The application provides a logistics automatic sorting remote diagnosis method, and belongs to the field of automatic logistics, and comprises the following steps: determining a target express package in a plurality of express packages based on real-time image information of the plurality of express packages on a conveying belt, and marking the real-time image information containing the target express package as target real-time image information; determining material information of the target express package according to the target real-time image information; collecting position data of the target express package and the static electric field intensity and environmental humidity nearby, predicting a layering occurrence probability of the target express package based on a preset deep learning model; when the layering occurrence probability is greater than a preset probability threshold, outputting a static electricity diagnosis command and controlling a mechanical arm to grab the target express package for static electricity neutralization processing. The layering occurrence probability of the express package and other express packages in the transportation process is predicted, the express package with a high layering occurrence probability is subjected to static electricity neutralization processing to reduce the surface static electricity thereof, and subsequent sorting errors are reduced through early intervention.

The present application relates to a kind of industrial solid waste treatment equipment remote diagnosis method, comprising: by the distributed collection equipment of multiple types of sensors different parts of multimodal real-time working condition signal, in combination with geographical position and working condition label, establish position annotation, working condition mapping multi-source original data set;Based on statistical, time domain and frequency domain feature mining, generate high-dimensional feature node that fuses space-time information;Accordingly, construct space-time evolution graph network, and introduce dynamic graph neural network to learn the dynamic association between nodes and working condition evolution law, realize the high-precision identification of complex anomaly and precursor track extraction, finally generate traceable multi-label anomaly early warning.

The application provides a field bus remote diagnosis method and related device, and belongs to the technical field of industrial communication network diagnosis.The application solves the problems that the traditional field bus diagnosis system is difficult to realize real-time monitoring of remote equipment and remote communication is susceptible to electromagnetic interference, resulting in low data transmission reliability.The device comprises an optical communication unit, a data processing unit and a diagnosis analysis unit;the optical communication unit performs photoelectric conversion on the received optical signal and outputs a clock synchronization electrical signal;the data processing unit decodes and protocol analyzes the field bus sending data;the diagnosis analysis unit extracts the slave station response delay time, frame error rate, signal amplitude attenuation coefficient and bus load rate based on the analyzed data, and identifies faults accordingly.The application adopts optical communication transmission and adaptive clock recovery technology, realizes high-reliability remote real-time monitoring and intelligent fault diagnosis against strong electromagnetic interference within a range of 10 kilometers, and can be widely applied to large industrial fields such as thermal power generation and petrochemical industry.

The application relates to the technical field of medical devices, in particular to a disinfection nursing vehicle integrated with an ultraviolet reflection cavity and automatic induction lifting, which comprises a base, four groups of rollers are fixedly connected to the four corners of the base; the four corners of the top of the base are fixedly connected with fixed ends of limiting sliding rods, and the moving ends of the limiting sliding rods are fixedly connected with the bottom of a nursing vehicle body; an electric push rod is fixedly connected to the top of the base, and the moving end of the electric push rod is fixedly connected with the nursing vehicle body; first, second and third storage spaces are arranged at the upper and lower ends of the nursing vehicle body respectively. The nursing vehicle body is fixedly connected with a mechanical arm through a side wall, the tail end of the mechanical arm is connected with a shooting device, the angle and focal length can be automatically adjusted in response to the instruction of an online expert end, high-definition image / video collection of local lesions or medical documents of a patient can be carried out, and the collected data can be transmitted to a remote diagnosis and treatment center through real-time streaming media transmission, so that online visual diagnosis of doctors is supported.

The utility model discloses a kind of vertical machining center control system, belong to machining center technical field。Including cloud platform interactive end, the cloud platform interactive end communication connection communication unit, the input end of communication unit is connected with the input end of forward-reverse control unit, the input end of positive rotation control unit respectively through communication protocol, the input end of relay unit is controlled and connected to the output end of positive rotation control unit, the output end of relay unit is connected cloud platform interactive end, the output end of positive rotation control unit is connected positive rotation three-phase motor, the output end of forward-reverse control unit is connected the forward-reverse module of three-phase motor.The utility model realizes remote diagnosis, and the damaged position is maintained quickly.

The application provides a system, a method and a fault diagnosis module for remotely diagnosing network equipment faults. The fault diagnosis module is independent of the operating system of the remote equipment, and comprises a command line interface unit, a command processing unit, a multiplexer, a console processing unit, and a fault processing unit. The multiplexer transmits data received from COMe modules, switch integrated circuits and at least one SoC chip module to the command processing unit after multiplexing. The console processing unit outputs logs of the COMe modules, the switch integrated circuits and the at least one SoC chip module to a storage module. The fault processing unit monitors fault information in the operating system of the remote equipment in real time, and outputs the fault information to the storage module in the remote equipment. When the remote equipment is suspended or abnormally, the remote management control equipment reads the logs and the fault information stored in the fault diagnosis module. The application can ensure the continuity and effectiveness of remote fault analysis and recovery operations.

The application provides a fire pump station intelligent inspection and remote diagnosis expert method and system, relates to the technical field of intelligent inspection, and comprises the following steps: mapping real-time operation data and historical maintenance records of a fire pump station to a domain knowledge graph, constructing a fault diagnosis reasoning chain, analyzing an abnormal state propagation path, generating a maintenance suggestion, retrieving historical cases, evaluating the feasibility of a scheme, constructing an optimal maintenance execution sequence, and tracking maintenance effects. The application can realize accurate identification of abnormal states of a fire pump station, improve fault diagnosis efficiency, optimize maintenance resource allocation, reduce equipment failure rate, and ensure safe and reliable operation of the pump station.

This invention discloses a method for remote diagnosis and fault prediction of secondary circuits in a load control system based on digital twins. Specifically, it relates to the field of power system load control and remote diagnosis of secondary circuits. The method includes acquiring control commands, circuit connections, feedback events, and load responses corresponding to the target control process; aligning the control commands, feedback events, and load responses to the time reference issued by the master station; establishing a correspondence according to the controlled object, signal channel, and sequence of occurrence; and outputting timing evidence. By uniformly aligning the control commands, feedback events, and load responses to a unified time scale and constructing control links, propagation links, and evidence links, weak and continuous evidence without explicit error reports can be incorporated into the same diagnostic process. This helps to identify, relatively early, hidden faults that could lead to failure to operate, maloperation, or control semantic deviation under uninterrupted power supply and low-disturbance conditions.

This invention relates to the field of industrial robot fault diagnosis technology, and discloses a fault early warning and remote diagnosis method for the electrical control system of an industrial robot. This method obtains mechanical load parameters through a potential load model, an inertial load model, and a basic dynamic model; obtains electrical state parameters through an electrical efficiency model; generates correction factors through a correction model based on ambient temperature; calculates dynamic current thresholds through a threshold model based on the correction factors and a basic current threshold; and finally outputs health scores and fault early warning information through a diagnostic model by combining vibration acceleration and servo loop following error. This invention integrates multi-source parameters from mechanical, electrical, and environmental sources to achieve dynamic threshold adjustment and multi-dimensional health assessment, effectively distinguishing between normal operating conditions and abnormal states, significantly improving the accuracy of fault early warnings, reducing false alarm rates, and providing a reliable remote diagnosis solution for industrial robots.

The subject of the invention is a method for developing a computer tool that utilises learning in a feedforward neural network FNN for the remote diagnosis of chemical element content in plants. The method includes collecting a training dataset, consisting of hyperspectral data from cultivated fields and measurement data on element content in plant leaves. The hyperspectral data is normalised and converted into input vectors, after which the dataset is divided into a training set and a test set. The training of the FNN involves an input layer with 64 neurons, a hidden layer with 32 neurons, and an output layer with a single neuron performing a regression function. The network is trained to match the predicted element content values to actual measurement data. The trained network is validated using the test dataset to ensure diagnostic accuracy. The method is applicable in precision agriculture for analysing the chemical element content in plants. The invention also concerns a computer-implemented method for the remote diagnosis of chemical element content in plants using neural network learning.

The application provides a traditional Chinese medicine remote diagnosis method and system based on low-delay transmission, and relates to the technical field of real-time communication.The method comprises the following steps: in response to a diagnosis session request, a continuous video frame sequence of a patient terminal camera is collected as an original code stream to locate three stationary point marks of a nasal root depression center and left and right zygomatic process edge inflection points; according to the three stationary point marks, first and second double-domain pivot centers are determined, whether the three stationary point marks are located on the same straight line direction is judged, and a base point is determined. Through positioning of a key area of a face, dynamic adjustment of a coding compression strategy and efficient transmission, the application effectively retains details of complexion required for traditional Chinese medicine syndrome differentiation, reduces transmission delay, guarantees the authenticity and integrity of diagnosis information, realizes real-time interaction of information, and ensures the stability and timeliness of data transmission.

The application provides a vehicle remote diagnosis method, an electronic device and a computer program product, and is suitable for the technical field of computers. The method is applied to a diagnosis device. The method comprises the following steps: the diagnosis device acquires diagnosis process information from a target server; a second operation instruction is acquired from a second user end; the second operation instruction is sent to a target vehicle, and second response information of the target vehicle to the second operation instruction is acquired; if target association information exists in association information, a diagnosis result of a target diagnosis operation is determined according to the target association information; diagnosis results of each diagnosis operation are sent to the target server, so that the target server generates a diagnosis record based on the diagnosis results of each diagnosis operation and sends the diagnosis record to a first user end. The application can simplify the remote diagnosis operation of professional technicians, thereby improving the vehicle remote diagnosis efficiency.

This invention discloses a multidisciplinary data integration method for telemedicine platforms, comprising the following steps: S1, the telemedicine platform receives consultation data requests and connects to heterogeneous data sources; S2, a two-layer cleaning model based on a rule engine and AI recommendation is used to deduplicate, correct errors, standardize, and complete missing data from the heterogeneous data sources; S3, during the conversion stage, based on a unified multidisciplinary terminology set and coding library, the data from the heterogeneous data sources are mapped to the same semantic layer, generating a quality score; S4, for large image or pathology files, an intelligent slicing algorithm is used to divide them into blocks <100MB and index them; S5, the text-based structured data and the block file data are uploaded to the telemedicine platform database through different channels; S6, after loading, the multi-source records are merged based on the patient master index to generate a unified multidisciplinary view and write back a quality report. This invention provides reliable data support for consultation experts, improving the efficiency and accuracy of remote diagnosis and treatment.

This application relates to a data sharing method, apparatus, electronic device, and storage medium for use in OBD systems. The data sharing method for OBD systems includes: broadcasting wireless network connection information to establish wireless connections with several smart terminals; reading real-time vehicle parameters, parsing the real-time vehicle parameters, and outputting CAN frames; decoding the CAN frames and outputting engineering values; encapsulating the engineering values ​​and outputting graphical data; and sending the graphical data to each smart terminal via the wireless network. The solution provided by this application can extend the transmission distance while simultaneously connecting multiple devices, enabling remote diagnosis by multiple personnel, thereby improving efficiency.

The application relates to the technical field of medical diagnosis, in particular to a remote diagnosis and treatment support system based on a cloud platform, which comprises a diagnosis and treatment access module, an interactive density monitoring module, a node resource evaluation module, a relay path matching module and a service node switching module. In the application, terminal performance and image parameters are collected to realize accurate matching of capability and diagnosis and treatment requirements, service node screening is combined with connection state and concurrent quantity dynamic decision-making to enhance initial communication stability, an interactive density index model is established to identify conversation active state and improve resource allocation accuracy, active level and calculation state are combined for joint evaluation to enhance bearing scheduling flexibility, path matching is combined with interactive rhythm and transmission capacity to screen stable channels, data transmission time efficiency is optimized, a cache and task state judgment mechanism is integrated in service switching to guarantee migration process continuity, dynamic reconstruction capability of remote diagnosis and treatment service is realized, and the stability, responsiveness and resource coordination efficiency of the system are improved.

This application relates to a remote vehicle fault diagnosis method and system based on information security technology, applied to a vehicle fault diagnosis system, including the following steps: acquiring vehicle fault information and matching it with a target security policy; generating a dynamic session key and encrypting the encrypted target object; acquiring the public key of the target cloud platform and encrypting the dynamic session key; encapsulating the corresponding dataset according to the target security policy to generate a secure data packet; sending the secure data packet to the target cloud platform, so that the target cloud platform, after receiving the secure data packet, performs data authentication and fault diagnosis based on the decrypted encrypted target object. In summary, this application achieves differentiated security processing by matching the fault code with the target security policy and dynamically generating a session key, which can dynamically adjust the security policy according to the urgency of the fault, improve the response speed of emergency faults, and enhance the security of non-emergency faults.

The application discloses a vehicle equipment information management method and a vehicle equipment information management system, and belongs to the technical field of vehicles. The method comprises the following steps: when a vehicle is offline, storing an equipment information tree corresponding to a vehicle model of the vehicle; the equipment information tree stores the equipment information of the vehicle in a tree structure, and the tree structure of the equipment information tree is a mapping of the tree structure of a general equipment information tree suitable for all vehicle models; when a communication connection with a server is established, reporting the equipment information tree and a vehicle identifier of the vehicle to the server, so that the server stores the equipment information tree and the vehicle identifier in association. According to the application, the equipment information tree is written when the vehicle is offline, and cloud storage is performed when the vehicle is connected to a network for the first time, and different vehicle models are based on partial mappings of the general equipment information tree, so that the vehicle equipment information of diversified vehicle models can be efficiently and uniformly managed, and the vehicle equipment information plays a core role in subsequent scenes such as remote diagnosis, fault prediction and data analysis.

The application provides a remote diagnosis and maintenance method and system for a bus intelligent integrated machine and a medium, and relates to the technical field of electric digital data processing. The method is based on historical data in a historical time period, and each bus section of a specified bus is pre-marked. In the actual driving process, the vehicle parameter is collected in real time by the sensing collection module of the vehicle-mounted integrated machine and uploaded to the cloud for remote diagnosis. Whether to execute the remote control preprocessing strategy is determined in combination with the pre-marking result. If the remote control preprocessing strategy is executed, the actual network condition of the bus section and the historical remote diagnosis condition are combined and analyzed to select a network diagnosis preprocessing measure. If it is determined that the remote control preprocessing strategy is not executed, remote maintenance is directly performed based on the remote diagnosis analysis result of the cloud. After the remote diagnosis and maintenance are completed, remote maintenance quality evaluation is performed to update the remote diagnosis condition of the corresponding bus section in the historical data, thereby solving the problems of long diagnosis response time, invalid remote maintenance operation and the influence on the reliability and safety of the system.

The application discloses a pure water EDI device control system, and relates to the technical field of intelligent control of pure water preparation, which comprises a cation and anion migration area which is physically isolated; a matching resin working state; removal of cations and anions in respective channels; and data transmission to a control unit through an internal bus. The application effectively avoids the problem of ion migration path cross interference in the traditional mixed or upper and lower layer structure, significantly improves the uniformity of water flow and resin contact and desalination efficiency; not only enhances the self-adaptability and operation stability of the system, but also provides technical support for remote diagnosis and intelligent management, thereby improving the water production efficiency, water quality stability and intelligent operation and maintenance level of the pure water EDI device as a whole.

This application proposes a method and system for transmitting image data information during skin care, relating to the field of image data information transmission technology. The method includes acquiring skin images and performing recognition processing on the skin images to obtain suspected artifact regions, confirmed true texture regions, and smooth regions in the skin images; monitoring the uplink status of the wireless network connected to the skin care device, wherein the uplink status includes instantaneous upload rate and data packet confirmation latency; obtaining the wireless network status based on the uplink status; generating a congestion signal when the wireless network is in a congested state; determining the compression ratio for suspected artifact regions based on the congestion signal; generating a recovery signal when the wireless network returns to a non-congested state; and restoring the compression ratio for suspected artifact regions based on the recovery signal. This application can ensure the accuracy of remote diagnosis and timely adjustment of care plans, improving the efficiency and reliability of remote skin care.

A vehicle fault diagnosis method, device, electronic equipment, and storage medium are disclosed, relating to the field of vehicle fault diagnosis technology. The method includes: when a vehicle malfunctions, quickly identifying the fault code and the fault code information indicated by the fault code based on a fault code list; storing the fault code information at high frequency at the control unit's underlying layer; transmitting the fault code information at low frequency to the CAN network; then transmitting it sequentially through a gateway and a cloud platform to a big data platform; and finally, acquiring, analyzing, and pinpointing the problem through the big data platform, and quickly guiding repairs. This method enables remote fault diagnosis without upgrading the CAN network architecture, increasing the CAN load rate, or requiring repair personnel to go to the site to reproduce the fault, thereby quickly identifying the problem and guiding repairs.

The present invention relates to a safety display device comprising: a signal device controller provided to control an operation of a signal device according to reading of an operation signal of a road traffic light, such as a vehicle traffic light or a pedestrian traffic light, from a road signal reading unit; a serial communication cable provided to allow the signal device controller to communicate a control signal for the operation of the signal device to the signal device; a CDSID signal device provided to be turned on in conjunction with the road traffic light, wherein the CDSID signal device includes a CDSID communication unit which receives an ID coding signal in the form of light from the outside so as to allow ID assignment and operation coding; and an ID optical coding input device for assigning an ID and inputting operation coding to the signal device from the outside through the CDSID communication unit so that an external optical signal is input to and set for the signal device.

This invention relates to the field of oral scanning technology, and more particularly to an intelligent voice-guided oral scanning device and its automatic acquisition method. The device includes a grip and a scanning head, connected by a double-beveled buckle and a metal positioning pin. The scanning head is equipped with: a voice interaction module for real-time image quality assessment; and a multimodal fusion positioning algorithm for fusing visual data from the image acquisition module, observation data from optical markers, and inertial data from the motion sensing module. This invention, by designing the optical markers to be distributed in a non-coplanar space, ensures that at least three markers are visible in any device posture, helping to solve the problems of high barriers to entry and high rejection rates in home oral scanning operations. This achieves zero-barrier standardized oral image acquisition and is available in both high-end medical-grade and economical consumer-grade configurations, suitable for home oral health monitoring and remote diagnosis.