206 results about "Real time data transmission" patented technology

The invention discloses an automatic protocol matching system for intelligent gateway sensor equipment of a power distribution station house. The automatic protocol matching system comprises a protocol feature deep analysis unit, a graph convolutional neural network topology construction unit, an equipment protocol suitability evaluation unit, a real-time data transmission monitoring unit, an abnormal protocol correction unit and a protocol matching result output unit. The system analyzes sensor protocol characteristics, combines power station house sensor deployment and transmission path construction graph models, evaluates protocol suitability, monitors transmission data, corrects abnormal protocols, and finally outputs a matching scheme. The graph convolutional neural network and the power station room data transmission detection model are utilized to realize automatic protocol matching, improve the fit degree of adaptation and an actual scene, form an exception handling closed loop, reduce interaction failures, improve the data transmission efficiency and stability of the power distribution station room, and meet the requirement of intelligent reconstruction.

The invention relates to the technical field of ultra-far offshore data transmission, and discloses an ultra-far offshore distance real-time data stable transmission method and system. The method comprises the following steps: acquiring target transmission link data, and extracting dynamic fluctuation characteristics containing signal strength distribution information and a delay jitter relationship from the target transmission link data; calling the trained channel estimation network to carry out signal positioning processing on transmission link data, and generating a signal transmission path set containing a channel type identifier and phase code mapping relation; based on the set, calling a waveform analysis network to perform multi-modal feature fusion on the signal intensity distribution information to obtain a fusion result containing time-frequency domain features and modulation mode features; and inputting a fusion result into a transmission strategy model to perform dynamic path selection, and outputting a real-time data transmission element containing a control instruction generated based on a signal transmission sequence and a phase self-calibration parameter. According to the method, stable transmission of real-time data under the ultra-far offshore distance can be realized.

The invention belongs to the technical field of cooperative control, and particularly relates to a development experiment box multi-device cooperative control method based on an open-source gap system. According to the method, access, identity authentication, automatic discovery and dynamic connection of experimental box equipment are realized through a distributed equipment management platform of an open-source Gao Mongolia system; a uniform resource scheduling mechanism is utilized to complete resource information collection, strategy matching and dynamic allocation; task allocation is carried out by adopting an intelligent task scheduling algorithm and combining equipment states and task requirements; real-time data transmission between devices is realized by means of a low-delay communication protocol; and finally, automatically summarizing and analyzing experimental data and generating a report. According to the method, the problems of low equipment identification efficiency, low resource utilization rate, low task allocation efficiency and the like in the existing development experiment box are solved, the intelligent level and the system stability of equipment cooperative control are improved, and the method is suitable for a multi-equipment cooperative control scene of the development experiment box.

The invention provides a cross-system cooperative control method and system based on a digital thread, and the method comprises the steps: building a cross-system interaction architecture, and building real-time data transmission and instruction interaction among a plurality of business systems through a distributed node communication protocol; collecting dynamic operation characteristic data of each service system based on the cross-system interaction architecture, and generating a cross-system cooperative control logic; converting the cross-system cooperative control logic into a standardized control instruction, distributing the standardized control instruction to a corresponding service system, executing real-time cooperative control, and collecting state feedback characteristics in a control process; performing dynamic deviation analysis on the state feedback characteristics to generate cooperative control strategy adjustment parameters; and synchronizing the cooperative control strategy adjustment parameter to each service system through the cross-system interaction architecture. According to the invention, the efficiency of cross-system cooperative control is improved.

The invention belongs to the technical field of agricultural robots, and discloses a visual perception digital twinborn cotton weeding robot identification obstacle avoidance method, which comprises the following specific steps: step 1, establishing a digital cotton and weed database, cotton field image information and cotton field environment information of real scenes in the same area under the condition of changing illumination in different time periods of the whole day are collected through a data collection system, and timestamps during collection and collected real-time data are transmitted to a cloud server. Through mutual cooperation of the data acquisition system, the cloud server and the virtual simulation platform, a cotton and weed virtual scene is established, through simulation of a cotton field and a weeding robot on the simulation platform, time-varying digital scene construction is perfected, and the time-varying digital scene construction efficiency is improved. The problem that an existing digital scene is not perfect in reduction of the time-varying process of the influence of illumination on the cotton field in the real environment is solved, and therefore the consistency of the virtual scene and the real environment and the weeding accuracy are further improved.

A medical monitoring system comprises a wearable garment incorporating multiple physiological sensors for real-time patient monitoring. The garment integrates an embedded processing unit that receives sensor data and transmits it wirelessly to a base station or remote server. A multi-modal physiological signal processing unit analyses the data to generate composite physiological indices, including metabolic rate, work of breathing, and fall risk assessments. The garment includes optional monitoring features such as transcutaneous carbon dioxide measurement, electrocardiography, pulse oximetry, blood pressure monitoring, and accelerometer - gyroscope-based motion tracking. The system provides early-warning alerts for clinical deterioration, enabling proactive therapeutic interventions. A wireless communication module ensures real-time data transmission, supporting remote monitoring and integration with hospital networks. The garment's modular design allows for non-invasive physiological assessment while maintaining patient mobility, making it suitable for critical care, ambulatory monitoring, and telemedicine applications.

The invention discloses a smart home safety monitoring system and method based on multi-modal sensing and intelligent analysis. The system comprises a multi-modal sensing module, an intelligent analysis module, a communication module, a cloud server, a user terminal and a smart home central control screen module. According to the invention, through multi-mode sensing fusion and intelligent analysis technologies, all-around and multi-level sensing of an intelligent home environment can be realized, compared with a traditional single-sensor monitoring system, various security events can be detected and identified more accurately, the reliability and the security of the system are improved, the identity and behavior actions of personnel can be judged accurately, and the safety of the personnel is improved. The multi-mode sensing module, the intelligent analysis module and the cloud server are integrated, abnormal behaviors are recognized, early warning is given out in time, potential risks are reduced, in addition, real-time data transmission among the multi-mode sensing module, the intelligent analysis module and the cloud server is achieved by adopting multiple wireless communication protocols, and safety and privacy of data transmission are guaranteed in the transmission process in combination with the data encryption unit.

The invention discloses a large-scale low-orbit satellite network domain-division intelligent routing method, which belongs to the technical field of satellite communication, and comprises the following steps: constructing a network model based on multi-dimensional resource characteristics, and providing resource constraint conditions and space-time correlation characteristics for routing decision by combining with a regional flow prediction algorithm of an improved Transform architecture; virtual nodes and an autonomous domain are divided based on a geographic area, and a low-orbit satellite network routing process is decoupled into an intra-domain part and an inter-domain part; a multi-agent deep Q network is adopted in a domain, a sum tree mechanism-based deep Q network is adopted between domains, a routing algorithm and a resource scheduling algorithm are respectively designed, and a domain intelligent routing system with flexibility and expandability is constructed through hierarchical routing and resource decoupling scheduling. According to the method, the service capability of the low earth orbit satellite network in extreme scenes such as topology high-frequency change, strict resource limitation and traffic space-time mutation is remarkably enhanced, and a high-reliability and low-delay routing solution is provided for space-ground integrated communication, emergency disaster early warning and global real-time data transmission.

The invention discloses a land-based virtual-real symbiosis experiment system for traveling cable swing, which comprises a land-based cable experiment table carrying a driving and loading module, and a mapping module for collecting real parameters of a traveling cable based on the driving and loading module to establish a mechanical model, the driving and loading module comprises driving equipment arranged on the land-based cable experiment table, the mapping module defines boundary conditions of the mapping module in a fixing mode of the land-based cable experiment table, and the boundary conditions serve as constraints of a dynamic model in the mapping module. By establishing real-time data transmission between the physical experiment table and the digital twin model, the problem of mapping lag is solved on the basis of real parameters collected by the driving and loading module, a simulation result can be fed back to the physical experiment table, parameter adjustment is guided, a digital research platform is provided for trailing cable reliability research in a land-based environment, and the reliability of a trailing cable is improved. And an effective guarantee is provided for ensuring absolute safety of cable running.

The invention discloses an automatic driving virtual simulation test platform and a test method thereof, and relates to the technical field of virtual simulation driving, and the test platform comprises a virtual simulation module which is used for constructing a high-precision three-dimensional virtual scene and simulating sensor data; the automatic driving trolley is used for executing an automatic driving algorithm in a physical environment and collecting real sensor data; the road simulation system is used for simulating various road working conditions and forming a data closed loop with the virtual simulation module and the desktop-level automatic driving trolley; and the data interaction module is used for realizing real-time data transmission and synchronization among the virtual simulation module, the desktop-level automatic driving trolley and the road simulation system. According to the invention, by integrating a virtual high-fidelity scene library, a real sensor, trolley hardware and a flexibly adjustable rotating hub testing device, multi-level closed-loop verification from simulation to a real vehicle can be realized, and meanwhile, acquisition and playback of sensor data and multi-modal data fusion in a real environment are supported.

A system and method for placing and configuring physical security sensors & barriers, are described. The system generates and analyzes a three-dimensional model of a customer's premises using non-imaging sensors to determine optimal sensor placement. Based on customer requirements, the system distributes sensor models within the premises while accounting for environmental obstructions, coverage gaps, and redundancy minimization. An extended reality (XR) interface allows users to visualize and refine sensor configurations before deployment. The system integrates AI-driven analytics to optimize surveillance coverage, adjust sensor orientations dynamically, and generate detailed reports outlining sensor locations and configurations. The sensor stand transmits real-time data to the system for continuous monitoring, predictive maintenance, and security threat analysis. The system enhances security planning by reducing design time, installation costs, preventing post-deployment modifications, and ensuring comprehensive monitoring coverage across diverse environments, including commercial, industrial, and critical infrastructure sites.

An underground space surveying and mapping and environment monitoring system comprises a data acquisition unit, an edge calculation unit, a dynamic scheduling unit and a simulation optimization unit. The data acquisition unit is used for acquiring various parameter data; the edge computing unit receives various parameter data, and predicts future tasks, node energy consumption and network congestion risks based on historical data and real-time states; the dynamic scheduling unit is used for selecting sensor nodes according to future tasks, node energy consumption and network congestion risks, aggregating collected data of the sensor nodes, executing a low-delay routing algorithm, and performing dynamic adjustment to obtain a scheduling strategy; and the simulation optimization unit verifies the performance of the scheduling strategy and feeds back optimization parameters to the dynamic scheduling unit to adjust the scheduling strategy so as to obtain an optimized scheduling strategy. According to the invention, a multi-objective optimization strategy and an energy monitoring and scheduling mechanism are combined, so that the network can realize low-energy-consumption and high-efficiency real-time data transmission and monitoring tasks in a complex underground space environment.

The invention provides an ozone dissolved air flotation system and a dissolved air release control method thereof. The system comprises a gas dissolving unit, an ozone floatation unit, a detection module, a control module and an adjusting module, the gas dissolving unit is used for transmitting generated data to the detection module; the ozone air floatation unit transmits the generated flow, pressure and water quality parameter data of an air floatation tank to the detection module; the detection module monitors the running states of the air dissolving process and the air floatation process in real time, and transmits the collected real-time data to the control module; the control module performs comprehensive judgment on the data through the core algorithm unit according to the sewage treatment mechanism model, the LSTM neural network and the fuzzy control logic, and generates a corresponding control instruction; and after receiving the instruction of the control module, the adjusting module adjusts the corresponding equipment through an execution element. According to the invention, multi-parameter dynamic coordinated regulation and control of the ozone dosage and the dissolved gas pressure can be realized, and the ozone utilization rate and the system response speed are obviously improved.

The invention relates to the technical field of mine water treatment, in particular to a mine water filtering device.According to the mine water filtering device, an ultrafiltration membrane assembly is arranged in a membrane pool to filter mine water, a pressure detector is arranged at a liquid outlet to monitor the water pressure in real time, and the pressure detector transmits real-time data to a controller; the controller is used for judging whether the water pressure entering the clean water tank meets the water production requirement or not, and automatically controlling the starting and stopping of each electrical device according to the judgment result, so that the spraying pump and the moving assembly are started in time when the membrane pollution problem occurs, and the clean water in the clean water tank is pumped to the spray head through the water production pipeline to clean the ultrafiltration membrane assembly; and different positions of the ultrafiltration membrane assembly are cleaned by moving the spray head through the moving assembly, so that pollutants on the surface of the ultrafiltration membrane can be quickly and thoroughly removed, and the water production efficiency is ensured. And moreover, the device does not need to add a coagulant to carry out flocculation and sedimentation treatment on the mine water, so that potential risks of drug residues on subsequent recycled water quality are avoided.

The invention belongs to the technical field of image acquisition, and discloses a field image acquisition method and system. The method comprises the following steps: acquiring real-time field images and videos by using an edge computing gateway, and extracting a plurality of real-time key frame images; image segmentation is carried out, and the real-time attention of the real-time image area is obtained; lossless compression and dynamic encryption are carried out; collecting real-time network quality data of the transmission network, and generating a real-time data transmission strategy; uploading the plurality of encrypted real-time image compression packets to a cloud data center according to a real-time data transmission strategy; and restoring the plurality of encrypted real-time image compression packets of each real-time foreground image by using the cloud data center to obtain a restored real-time field image video. According to the invention, the problems of low data transmission efficiency, insufficient security, centralized processing bottleneck, high energy consumption and poor transmission reliability in the prior art are solved.

The invention, which belongs to the technical field of power transmission line detection, discloses an intelligent dynamic bifurcation detection device for a power transmission line, and the device comprises monitoring terminals which are installed at bifurcation nodes of the power transmission line in a distributed manner and are internally provided with a multi-axis inertial sensor, a temperature sensor, a micro-current detection module and an image acquisition unit; the data transmission module adopts 5G / optical fiber hybrid communication and is used for transmitting monitoring data to the central processing unit in real time; the central processing unit is used for executing a dynamic reference value algorithm, calibrating the data of the multi-axis inertial sensor in real time and generating a line fork three-dimensional deformation displacement amount; and the distributed diagnosis module is used for being deployed at an edge computing node, realizing localized fault classification according to the fault feature library, and cooperating with the central processing unit to generate hierarchical alarm signals. Real-time data is transmitted to the central processing unit through 5G / optical fiber hybrid communication, the central processing unit executes a dynamic reference value algorithm to generate three-dimensional deformation displacement, and the edge diagnosis module classifies faults based on a fault feature library.

Distributed fiber optic sensing (DFOS) / distributed acoustic sensing (DAS) that illustrate inventive techniques—applicable to all embedded systems—that deliver high-bandwidth traffic from a DFOS system to a cloud or other processing resources in real-time, employ firmware that operates at a register-transfer level and writes data repeatedly into the embedded host memory directly—without software intervention after initial configuration. This technique advantageously enables the use of the relatively large host memory to compensate for any software jitter. Preferably configured, the firmware employs only a small buffer to compensate for a transaction and host-memory arbitration latency. A second dedicated thread sends out data from the user space buffer to a cloud, or a connected server. Remote procedures that are executed on a remote system (a computer, network of computers, or cloud), receive data transmitted from the embedded system, and perform further processing as necessary.

The invention relates to the technical field of data processing, in particular to a data exchange method based on a data medium station. The method comprises the following steps: monitoring earthquake activity in real time, and collecting earthquake related data; data cleaning and preprocessing; formatting the data, and pushing the formatted data to a data middle table; integrating and converting to obtain data to be transmitted, pushing the data to be transmitted to each receiving platform according to a transmission demand, and obtaining an actual transmission result of the corresponding receiving platform; and analyzing the actual transmission result so as to adjust the transmission mode. In the data exchange process, whether the real-time data transmission result is matched with the ideal result or not is judged, if the result deviation exceeds the allowable range, the transmission effect is analyzed according to the real-time data, the data transmission process is optimized, the optimal transmission effect is ensured, and the method is adaptive to the complex network environment; the data integrity and the transmission efficiency are balanced, and the real-time performance and the reliability of seismic data transmission are improved.

A Ground Truth Map (GTM) is defined, generated for a local scene and then used to enforce real-time data transmission compliance. Data, and specifically imagery of disallowed objects in the local scene, may pose a risk for “spillage” (e.g., accidental storage or transmission) at multiple points in the process. Techniques for defining the GTM, handling the session data used to generate the GTM and for using the GTM alone or in combination mitigate the risk of spillage.

The invention provides a commercial vehicle mountainous road driving assistance system, method and device and a medium, and belongs to the technical field of commercial vehicle intelligent driving assistance. The system comprises a data acquisition sensing module used for acquiring vehicle state, environment and driver information; the data processing module is used for performing fusion analysis, environmental risk assessment, vehicle stability calculation and intelligent vehicle speed prediction based on the multi-source data; the AR-HUD dynamic display module is used for fusing and displaying the generated early warning and guiding information and a road scene in an augmented reality mode; and the data interaction module is used for realizing real-time data transmission among the modules. According to the method, specific modeling is carried out on the special road condition of the mountainous area, and key safety information is visually presented in combination with AR-HUD, so that the driving safety of the commercial vehicle under the complex terrain is effectively improved.

The invention provides a hardware-in-the-loop test device. The hardware-in-the-loop test device comprises a simulation model verification system used for obtaining real-time data of input and output of an IO terminal of a DCS system in various operation states; the real-time data is transmitted to the fault state detection system; the fault state detection system is used for converting real-time data into a control signal and transmitting the control signal to the simulation data signal IO system; the simulation data signal IO system is used for converting the control signal into an electric signal; the electric signal is transmitted to a fault signal injection system; and the fault signal injection system is used for superposing the fault signal on the electric signal to obtain various types of faults, and transmitting the electric signal superposed with the fault signal to the DCS. According to the invention, the hardware-in-the-loop test device simulates each external signal fault of the DCS system, and injects the fault signal into the DCS system, thereby verifying and improving the robustness of the DCS system and a simulation model, and meeting the reliability test of the DCS system under an extreme working condition.

The invention relates to the technical field of emergency treatment information management, and discloses an emergency treatment-oriented multi-disease integrated information management system, which comprises a patient information management module used for configuring multi-disease inspection items and recording standardized time nodes; the inter-hospital referral cooperation module is used for dynamically selecting a referral doctor and recording referral key time; the first-aid time axis module is used for automatically generating a visual record of a treatment process based on a time sequence; and the quality control analysis platform module quantitatively evaluates the treatment efficiency through medical indexes. Through real-time data transmission between the patient information module and the data interaction module, instant sharing of key medical data before and in a hospital is realized, information incompleteness or inaccuracy caused by telephone communication is avoided, time waste of repeated examination after a patient arrives at the hospital is reduced, and treatment delay is effectively shortened.

The invention belongs to the technical field of fire alarm, and discloses an Internet-based intelligent fire alarm method and system, and the method comprises the following steps: analyzing the temperature, humidity and electrical equipment states, carrying out the real-time data transmission through the Internet, carrying out the data classification, recognizing a fire risk index, and generating an environment risk analysis result; potential fire risks are recognized in time by analyzing temperature, humidity and electrical equipment states, early warning can be carried out at the initial stage of fire formation, potential damage of the fire is remarkably reduced, the response speed and prevention capacity of fire alarm are remarkably improved, and the safety of fire protection is improved. Real-time data transmission ensures that information can be quickly transmitted to a fire fighting center at the initial stage of a fire, an emergency response unit is allowed to prepare in advance, casualties and property losses are effectively reduced, the adaptability to different environment conditions is enhanced, important data are provided for fire post-analysis, and optimization and adjustment of future strategies are facilitated.

The application belongs to the technical field of real-time data collection, and discloses a method, system and medium for detecting data collection abnormity in a real-time data transmission process. Business data is obtained by analyzing database operation logs. The business data is stored in a distributed publish-subscribe message system to obtain a real-time data warehouse. A detection time interval is set, and offset information of the real-time data warehouse is obtained according to the time interval. Offset information obtained at a current time node is compared with offset information obtained at a previous time node to obtain a comparison result. If the comparison result is that the offset information has changed, the database operation logs are continuously analyzed to obtain the cause of data collection abnormity. Otherwise, it is determined that data collection is normal, thereby realizing detection of data collection abnormity in the real-time data transmission process. The application can also call a preset intelligent script to repair a data collection program when the collection program is dead.

The invention belongs to the technical field of building informatization, and provides a BIM technology-based multi-person dynamic collaborative operation method, which comprises the following steps of: by taking a basic BIM model as a core, acquiring field multi-dimensional real-time data and transmitting the field multi-dimensional real-time data to a collaborative platform; on-site multi-dimensional real-time data is encrypted and transmitted through a low-delay transmission mechanism; fusing the basic BIM model with the collaborative data to construct a dynamic twinborn collaborative model; the collaborative data is analyzed and processed, and a collaborative management and control instruction is generated through multi-person operation conflict early warning and dynamic permission allocation; performing cross-scene and cross-role multi-person real-time collaborative operation through multi-terminal adaptation and space interaction based on the collaborative management and control instruction; the cross-role and cross-scene multi-person real-time collaboration is realized by constructing a basic BIM model and combining with a dynamic twin collaboration model of field real-time data and combining with low-delay encryption transmission, intelligent conflict early warning, dynamic permission allocation and multi-terminal interaction.

The invention discloses an inspection robot for a special underground environment of a coal mine and a use method, and relates to the technical field of coal mine safety production. The inspection robot for the special environment of the underground coal mine comprises a walking track and further comprises a walking mechanism, a main body frame, a detection unit, a power supply unit, a communication unit and a pan-tilt shield assembly, the walking mechanism is matched with the walking track to achieve movement, the detection unit achieves instrument image collection through the pan-tilt shield assembly, and the power supply unit supplies power to the main body frame. The power supply unit and the communication unit respectively supply power and transmit data to the whole machine; stable operation in a high-risk environment is ensured by adopting an explosion-proof safety design, high-precision positioning and identification of the instrument are realized through a dynamic search algorithm and an intelligent detection algorithm, unmanned inspection and real-time data transmission functions are realized, a modular structure can be flexibly expanded, various instrument detection requirements can be met, and the system is suitable for popularization and application. And the coal mine inspection efficiency and the intelligent level are obviously improved.

A system and method for placing and configuring physical security sensors & barriers, are described. The system generates and analyzes a three-dimensional model of a customer's premises using non-imaging sensors to determine optimal sensor placement. Based on customer requirements, the system distributes sensor models within the premises while accounting for environmental obstructions, coverage gaps, and redundancy minimization. An extended reality (XR) interface allows users to visualize and refine sensor configurations before deployment. The system integrates AI-driven analytics to optimize surveillance coverage, adjust sensor orientations dynamically, and generate detailed reports outlining sensor locations and configurations. The sensor stand transmits real-time data to the system for continuous monitoring, predictive maintenance, and security threat analysis. The system enhances security planning by reducing design time, installation costs, preventing post-deployment modifications, and ensuring comprehensive monitoring coverage across diverse environments, including commercial, industrial, and critical infrastructure sites.

The invention discloses a steel pipe pile support perpendicularity control device and a construction method, and belongs to the technical field of steel pipe pile construction. The device comprises a double-theodolite monitoring assembly, a hydraulic deviation correction execution assembly, a real-time data transmission assembly and a central control unit, all the assemblies work cooperatively to achieve whole-course accurate control over the steel pipe column vibration pile sinking process, and the problems that in the prior art, perpendicularity control precision is low, and adjustment lags behind are solved. The perpendicularity of the steel pipe column is monitored through the double theodolites in a 90-degree crossed mode, dynamic adjustment is achieved in combination with the hydraulic deviation correction frame, the steel pipe column perpendicularity deviation is controlled through the processes of datum positioning, graded pile sinking monitoring, real-time deviation correction and final hammer acceptance inspection, and the method is suitable for the scene of bridge cast-in-place related to high pier column support construction. And the construction safety and the engineering quality are effectively improved.

This utility model relates to the field of non-destructive testing technology and provides a modular acoustic vibration detection probe structure, including a housing and a locking mechanism. The locking mechanism is provided on one side of the surface of the housing, and a combination mechanism is provided at one end of the housing. The modular acoustic vibration detection probe structure provided by this solution, through the locking mechanism, first places the device in the detection area and fixes it to the detection area with an external knot or Velcro. Then, a wiring is connected to the external wiring interface, and real-time data during the detection is transmitted to the operator. When the corresponding sensor needs to be replaced, the battery pack is pulled out of the housing, and then the hidden handle on the corresponding integrated plate is pulled. During the pulling process, the locking block and the limiting block fixedly connected to the integrated plate change from a locked state to a sliding state. At the same time, the limiting block is pressed, and the limiting block overcomes the spring force and slides in the integrated groove, realizing the release operation.

The invention relates to the technical field of connector data transmission, in particular to a transmission data integrity detection method in the flight process of an unmanned aerial vehicle. The method comprises the following steps: acquiring state data of a connector in a flight process of the unmanned aerial vehicle and real-time transmission state data of a link layer and an application layer in a data transmission process; determining an environmental influence factor of the connector based on the state data; analyzing the change of the environmental influence factor, and determining a degradation trend coefficient; determining a real-time data transmission state coefficient in combination with the real-time transmission state data; weighting the real-time data transmission state coefficient through the degradation trend coefficient to obtain a data transmission loss degree; and obtaining a transmission integrity evaluation index of the connector according to the data transmission loss degree and the data accumulation loss amount. According to the invention, the timeliness of abnormal positioning and repairing in the data transmission process is improved, and the transmission loss rate of the unmanned aerial vehicle data is reduced.