307 results about "Remote management" patented technology

The invention discloses a collaborative anti-interference access control system based on face recognition, and belongs to the technical field of access control systems. The cooperative anti-interference access control system comprises a multi-mode sensing acquisition module, an image preprocessing and anti-interference module, a face recognition and living body verification module, a cooperative control and decision module, a remote management and iteration module and an access control execution module. According to the access control system, the working mode can be adjusted in real time according to environmental changes, the influence of various interference factors is effectively resisted, a more stable and reliable face recognition access control service is provided for a user, the complementarity of multi-source data can be fully utilized by the access control system, the collected target image is optimized and processed, and the user experience is improved. The influence of interference factors such as light and noise on the image is reduced, the reliability and the accuracy of data are effectively improved, and the anti-interference capability and the face recognition accuracy of the system in a complex environment are enhanced.

The invention relates to the technical field of communication equipment operation and maintenance, in particular to a serial port equipment firmware upgrading method and system. The serial port equipment firmware upgrading method comprises the steps that an upgrading task instruction issued by a remote management platform is received, and after equipment identity verification and upgrading file integrity verification are executed, system protection measures are started; creating a security isolation sandbox environment, forbidding a high-risk function module in a script execution environment, and defining addressing parameters of target serial port equipment; standard scripts are loaded, and serial port read-write, file operation and state reporting type security interaction interfaces are injected; calling a mode switching function of the standardized script, so that the serial port equipment is switched to a firmware upgrading mode from an operation mode; cyclically calling a data transmission function of the standardized script to transmit firmware data in blocks, and synchronously implementing timeout monitoring; and after upgrading is completed or abnormal interruption occurs, the security isolation sandbox environment is destroyed, the original business is recovered, and an upgrading result is reported to the remote management platform.

The invention relates to the technical field of data processing, in particular to a remote management system for experimental detection data of a traffic road section, which comprises a state acquisition and occupancy calculation module, a time sequence storage structure, a state acquisition and occupancy calculation module and a state acquisition and occupancy calculation module, the fluctuation characteristic gradient analysis module calculates the difference between the current occupancy rate and the historical occupancy rate to generate a fluctuation degree value, the sampling period dynamic decision module compares the fluctuation value with a threshold value to generate a target sampling interval, and the hardware servo and data packaging module adjusts the scanning frequency and generates a detection data packet. According to the method, a time sequence storage structure is constructed, the traffic flow fluctuation degree is quantified, the sampling interval is intelligently decided according to the fluctuation numerical value, the scanning frequency is adjusted in real time, the frequency is reduced to reduce redundancy when the traffic flow is stable, sampling is encrypted to capture features when fluctuation is violent, the data integrity is guaranteed, and the storage and transmission pressure is reduced. And efficient utilization of monitoring resources is realized.

The utility model discloses an Internet of Things tunnel interval controller combined with a digital microwave radar, and the controller comprises a radar module which is used for obtaining traffic flow information in a non-contact manner; the control module is used for executing logic judgment and generating a control instruction according to the traffic flow information acquired by the radar module; the data storage module is used as a nonvolatile storage space of the Internet of Things tunnel interval controller; the radio frequency communication module is used for realizing networking and remote management through an Internet of Things communication protocol; the power supply module is used as a power supply basis of the Internet of Things tunnel interval controller, and the power supply module is connected with the radar module, the control module, the data storage module and the radio frequency communication module; a tunnel interval control solution with high integration level, accurate vehicle detection, intelligent dimming decision, flexible wireless communication and high-reliability data management is jointly realized.

The invention relates to the technical field of medical information management, in particular to a chronic disease patient home nursing remote management system which comprises a volatility analysis module, a symbol recognition module, a correlation analysis module, a task decoupling module and a nursing task generation module. According to the invention, by analyzing the fluctuation amplitude of the continuously collected physical sign data in the specific time window, the short-term sudden change trend which cannot be revealed by single-time manually reported data can be explored, and the data change direction is further symbolized to identify a continuous change mode with clinical significance; and the time overlapping degree of the continuous sudden change time periods of different physical sign data can be calculated, so that the synchronous association reaction among various physical sign indexes is accurately identified, the potential composite physiological risk is revealed, and the dependency decoupling and execution sequence reconstruction of the high-risk task are realized based on the quantitative evaluation of the task emergency degree and the delay degree.

The invention relates to the technical field of traffic construction management, in particular to a construction management and control system for an intelligent bridge fabrication machine of a railway bridge. The system is deployed based on an industrial cloud platform, construction parameters of the bridge fabrication machine are monitored in real time through a multi-dimensional sensing network, and key indexes such as cantilever construction line shape, load and progress are digitally controlled in combination with an intelligent scheduling algorithm and a resource dynamic allocation model. The core technology of the system comprises a multi-source data fusion construction parameter real-time acquisition module, a digital twinning-based process intelligent scheduling engine, a supply and demand balanced resource dynamic allocation system, a cross-terminal interconnected remote management and control platform, a multi-level early warning safety guarantee mechanism and a whole-process data tracing system. The problems of parameter monitoring lagging, low working procedure collaboration efficiency, unbalanced resource allocation and the like in traditional bridge fabrication machine construction are solved, visual, intelligent and refined management of the construction process is achieved, the construction efficiency is improved, the safety risk is reduced, and the method is suitable for various railway bridge cantilever construction scenes.

Methods and systems for managing operation of data processing systems are disclosed. To manage operations of the data processing system, a device management system may provide requests to perform management operations by the data processing system that may be obtained by out-of-band components of the data processing system via a cloud server. A determination may be made whether the management system has authority to manage the data processing system and based on authorization approval, the request to manage the data processing system may be managed by the out-of-band components of the data processing system to service the request and provide the desired computer-implemented services.

The utility model discloses handheld wireless tire pressure and tire temperature detection equipment which comprises a handheld detection gun and an integrated sensor arranged in a tire, the integrated sensor comprises a main control board, and the main control board is connected with a temperature sensor, a tire pressure sensor and a first wireless module; the handheld detection gun comprises a handheld shell and a battery unit, a power supply control unit, a main control unit and a remote communication unit which are arranged on the shell, the battery unit is connected with the power supply control unit, the power supply control unit is connected with the main control unit, and the remote communication unit is in communication connection with the main control unit; the main control unit is provided with a second wireless module used for communicating with the first wireless module. The integrated sensor is installed in a tire, a matched handheld detection gun is used externally to obtain sensor data, tire temperature and tire pressure data of the tire in a use state are obtained and can be used for safety monitoring and judging whether the tire working condition meets the vehicle safety operation requirement or not, and meanwhile related tire sensing data can be synchronously uploaded to a cloud end; and remote management and unified management are facilitated.

The application discloses a kind of cattle contactless multi-modal intelligent monitoring early warning device and monitoring early warning method.The device includes the passage of being arranged in the side of cowshed, mobile acquisition mechanism, multi-modal acquisition unit, edge data processing unit, multi-modal data fusion engine, health assessment model, early warning module and remote management platform.Mobile acquisition mechanism can slide along the passage, rotatingly connected installation box below sliding seat, end push rod can make installation box deflection towards the direction of cattle travel, realize the rapid acquisition when normal traffic;When judging cattle exception, sliding seat moves to the top of cattle and follows movement, carries out whole course close synchronous acquisition.The application fuses color image, depth image, called audio and environmental parameters, combines Transformer model to evaluate health score and risk level, realizes contactless, automated monitoring, avoids cattle stress, improves early abnormal identification accuracy.

The invention relates to the technical field of intelligent education, in particular to an intelligent practical operation assessment system and method based on multi-modal perception, and the system comprises a question setting and rule configuration module, a local assessment terminal, a hardware connection monitoring module and a remote management service terminal. The question setting and rule configuration module is used for generating a structured test question rule file, the hardware connection monitoring module is used for collecting conduction relation data, and the local assessment terminal comprises a man-machine interaction layer, a sensing and monitoring layer and an application logic and control layer; the remote management service terminal is used for data storage and instruction issuing. The system has the following advantages and effects: through the cooperation of the question setting and rule configuration module, the local assessment terminal, the hardware connection monitoring module and the remote management service terminal, the operation behavior and the tool state are identified; multi-mode perception, automatic monitoring and accurate scoring of electrician practical training type practical operation assessment are realized, and the objectivity, efficiency and traceability of assessment are improved.

The invention relates to the technical field of communication, and discloses a method for an AC to remotely manage an AP based on HTTPS, and the method comprises the steps: carrying out the interaction between the AC and the AP through a CAPWAP protocol, additionally establishing a secure communication channel based on HTTPS, and adding a new channel for the AC to manage the AP without changing and affecting the connection and data interaction of the existing CAPWAP protocol. The problems that a traditional CAPWAP protocol is not easy to expand and compatibility and intercommunity of the traditional CAPWAP protocol are solved, and the HTTPS protocol has higher safety. Besides, the invention also provides identity authentication when the AC and the AP establish the secure communication channel based on HTTPS, so that the external direct acquisition of corresponding data of the AP can be prevented, and the security is further improved. In addition, the invention also provides an AC device, an AP device and other related equipment applying the method.

A vehicle state synchronization method and device, electronic equipment and storage medium are disclosed. The method comprises the following steps: in response to state change information of a first vehicle terminal, determining a plurality of vehicle terminals having a binding relationship with the mobile terminal; when the first vehicle terminal is a vehicle terminal having a binding relationship with the mobile terminal, obtaining a plurality of configuration function information of the first vehicle terminal, and verifying target configuration function information in the plurality of configuration function information, so that the function state of the target configuration function information in the first cache data of the first vehicle terminal is changed to a target function state. According to the embodiment of the disclosure, after receiving the state change information, the first vehicle terminal is subjected to multiple verifications, so that the source vehicle terminal of the state change information is determined, and the function state of the vehicle terminal is changed in the mobile terminal, thereby improving the security and reliability of vehicle remote management.

The invention discloses a stock bin discharging mobile equipment positioning system based on intelligent vision and a control method, and belongs to the technical field of mobile equipment visual positioning and discharging control. The system comprises an image acquisition device, a ground scale, a cleaning brush, a purging system, an onboard control box and a factory server; and all the components work cooperatively. The ground scale is waterproof and dustproof, the image acquisition device acquires scale images at high frequency, and the scale images are identified through an OCR algorithm; the cleaning brush and the purging system automatically clean the scale to ensure that the image is clear; the onboard control box processes data and performs linkage control, and the factory server realizes remote management. According to the control method, accurate positioning and automatic discharging of the discharging car are achieved through parameter reading, scale recognition, operation state judgment, cleaning and maintenance, model calculation positioning and feedback interlocking, the defects of a traditional positioning mode are overcome, manual intervention is not needed, the structure is stable, and maintenance is avoided.

The application relates to the technical field of intelligent device operation and maintenance and local area network management and control, and specifically provides an intelligent device remote management and control method and device, wherein a core service module is used as a system entrance, is responsible for initialization, starts a timing task, and manages a resource life cycle; a local area network device discovery module is realized based on an Android original NsdManager and adopts a DNS-SD protocol to complete device discovery; a Web service module constructs a local Web service based on an AndServer framework, uses a default port 2618, and provides a double management and control mode of an API interface and a visual page; a device management and control module realizes multi-dimensional device operation; and a data storage module is responsible for data persistence and temporary storage. Compared with the prior art, the application can reduce device operation and maintenance cost and improve management and control response efficiency.

The communication base station micro-grid system provided by the utility model improves the power supply reliability and energy efficiency of a base station and reduces the dependence on a traditional power grid through integrating distributed energy and an intelligent management system. The system comprises a photovoltaic system, an energy storage battery pack BMS system, a 4G communication module and a power grid access module. The photovoltaic system is composed of a photovoltaic cell panel and a light stacking controller and provides 48V direct current. And the energy storage battery pack BMS monitors and manages the battery state in real time. And the 4G communication module realizes data transmission and remote monitoring. The power grid access module provides a standby power supply. The system adopts a 48V direct-current bus, so that the energy efficiency is improved and the loss is reduced. The stacked light controller optimizes photovoltaic output and has comprehensive fault self-test and protection functions. Real-time monitoring and remote management are realized through the 4G communication module, and the reliability and maintenance efficiency of the system are improved.

This invention provides a flood and freeze protection zone metering device, comprising a well body. An inlet pipe is installed and connected to one side wall of the well body, and an outlet pipe is installed and connected to the other side wall. Elastic sealing rings are provided at the connection points of the inlet and outlet pipes with the well body. This invention adopts a factory prefabrication and modular assembly method. The well body and internal metering components are pre-assembled in the factory, requiring only hoisting, positioning, and pipe connection on-site. Compared to traditional brick or concrete-cast well bodies, the construction cycle is significantly shortened, unaffected by weather, and installation efficiency is significantly improved. This invention integrates multiple sensors within the same well body, using a data acquisition and transmission terminal for unified power supply, unified data acquisition, and unified uploading to a digital platform. This solves the problem of scattered information in traditional zone metering devices, achieving comprehensive monitoring and remote management of pipeline flow, pressure, water quality, leakage, and well body status.

The invention discloses a man-machine interaction method for an unmanned aerial vehicle autonomous operation system. The man-machine interaction method comprises the steps that S1, inspection items before an unmanned aerial vehicle flies are divided into logic stages according to an operation process; s2, setting a basic weight for each inspection item, and screening key items; s3, the system communicates with an unmanned aerial vehicle sensor in real time, parameter data is collected and compared with an expected reference value, and when a detection result has deviation, the weight of a corresponding inspection item is increased; and S4, automatically acquiring and checking the inspection items which do not need to be manually confirmed by the background through a sensor interface, and completing confirmation of all key items. Weights are set according to various inspection tasks, dynamic adjustment is carried out according to security levels, historical data and task types, key items which really need to be manually confirmed and operated in the current stage are screened out by setting a threshold value, and other items are automatically inspected or omitted in the background. And autonomous operation, remote management, batch flight control or group unmanned aerial vehicle operation of a large-scale unmanned aerial vehicle scene are supported.

The invention relates to an intelligent water cup integrating motion state monitoring and water replenishing reminding functions, and belongs to the technical field of intelligent home and health monitoring. The intelligent water cup comprises a cup body, a cup cover, and a main control module, a motion state monitoring module, a water volume detection module, a physiological parameter acquisition module and a reminding module which are arranged in the cup body. The system is mainly characterized in that the motion states (such as step number, motion intensity and motion duration) and physiological parameters (such as heart rate and oxyhemoglobin saturation) of a user can be monitored in real time, the water demand of the user is comprehensively analyzed through a built-in algorithm, and personalized water replenishing reminding is provided. In addition, the water cup can be connected with a mobile terminal through a communication module, and data synchronization and remote management are achieved. The problems that an existing intelligent water cup is single in function and the reminding mode is not scientific and reasonable enough are solved, the water supplementing requirements of a user in different states can be more accurately met, and the intelligent water cup has high practical value and market prospects.

This invention proposes a non-contact in-vehicle alcohol screening device and system. It includes a transmitting module, a receiving module, a main control and power module, a housing, and a light-shielding structure. The alcohol screening device is connected to a remote management platform. The device also includes a communication module for sending test results, test time, and device identification information to the remote management platform. The transmitting module uses dual Class 1 low-power lasers, combined with real-time current monitoring and a self-locking switch in the main control module, providing triple protection for human safety through light source, circuitry, and mechanical operation. This ensures that even direct laser light into the eyes is harmless, meeting the safety and compliance requirements of law enforcement scenarios. The receiving module is equipped with a bandpass filter with a corresponding center frequency to effectively suppress ambient stray light and circuit noise. Simultaneously, the dual-wavelength differential design, through the ratio calculated by the main control module, jointly cancels common interferences such as water vapor and window reflections, significantly improving the reliability of the screening signal in complex environments.

A device for secure remote management of cryptographic devices is provided. The device includes a plurality of components disposed of within the housing of the device. The plurality of components includes a first router, a second router, a first encryption device, a second encryption device, and a next unit of computing device. Each of the first and second routers are configured to route traffic from one or more networks, including at least one public and one private network. Each of the encryption devices are configured to encrypt traffic for information security. The next unit of computing is configured to secure remote access to at least one of the encryption devices, allowing configuration, update, or other interfacing with at least one of the encryption devices.

The invention relates to the technical field of medical informatization, in particular to a remote management method and system for CRRT and nutrition state linkage and a storage medium, and the method comprises the following steps: obtaining a physical sign index through a wearable device, and obtaining a continuous renal replacement therapy CRRT metabolism index and a laboratory index; training a machine learning model by using an Internet of Things cloud platform based on the physical sign indexes, the CRRT metabolism indexes and the laboratory indexes, and constructing a multi-parameter decision model for nutrition demand prediction, CRRT machine setting and nutrition risk early warning; and adjusting a CRRT machine and nutrition supply by using the mobile terminal according to the output of the multi-parameter decision model, and carrying out early warning on nutrition risks. According to the method, real-time vital signs, CRRT clearing data and laboratory indexes are dynamically integrated through a multi-parameter decision model, and accurate quantification and dynamic matching of nutritional requirements and CRRT prescriptions are achieved.

A user may register with a fleet system responsible for remote management of a fleet of endpoint devices. The fleet system can determine a level of trust for the user based on information associated with an email address of the user and other information and register the user if the determined level of trust is sufficient. The registered user can request an activation token to be used for provisioning an endpoint device for consent-free out-of-band management. An endpoint device can be provisioned by the user submitting the activation token to the fleet service, the fleet service sending the activation token to the endpoint device, the endpoint device generating an ownership voucher request that includes the activation token, the fleet service verifying and validating the ownership voucher request, the fleet service returning a signed ownership voucher to the endpoint device, and the endpoint device verifying the signed ownership voucher.

The invention relates to the technical field of mechanical arm control methods, and discloses a muscle force evaluation and self-adaptive control method for a household remote control upper limb intelligent rehabilitation mechanical arm, which comprises the following steps: initializing a system, guiding the first elbow flexion by voice, and judging the anti-gravity capability according to an elbow joint flexion angle. Secondary elbow bending is carried out after different reverse resistances are applied, the resistance resistance is judged according to the elbow joint bending angle, a scale is converted into clinical muscle force classification, a main control board calculates self-adaptive traction force and realizes closed-loop control, meanwhile, whole-course data are uploaded to a cloud side, and remote terminal monitoring and parameter adjustment are supported; according to the invention, the evaluation logic conforms to the clinical standard, the detection precision is high, the system integration level is good, quantitative muscle force evaluation, individualized adaptive training and remote professional supervision can be realized, the system is suitable for household upper limb rehabilitation of stroke, nerve injury and postoperative patients, and the technical problems of inaccurate evaluation, fixed control and lack of remote management of existing equipment are effectively solved.

The invention discloses a laser intelligent control and remote management method and system based on multi-mode driving, and belongs to the technical field of laser control, and the method comprises the steps: collecting the operation data of at least two different modes in the operation process of a laser, and forming a process feature vector; the operation data of the different modes at least comprise any two of laser output power data, retroreflective light data, spectral data, temperature data and current or voltage ripple data. Multi-modal operation data in the operation process of a laser is constructed into a cross-modal physical consistency residual error and a process credible evidence is formed, remote certification or integrity verification is performed on a local control end to form a platform credible evidence, and a network controllability index is calculated based on network time delay and jitter to form a network credible evidence. The three types of evidences can be fused into the credibility score, so that the problem that the unified constraint of the process state, the platform credibility and the network controllability is difficult to quantify at the same time in a remote management scene is solved.

The invention discloses a high-standard farmland multi-monitoring-point data fusion and remote management and control system, and relates to the technical field of farmland monitoring management and control, and the system comprises a monitoring point equipment layer which employs a fixed monitoring terminal and a mobile monitoring terminal to collect multi-dimensional farmland data; the data fusion layer performs data fusion on the multi-dimensional farmland data by adopting a three-layer architecture of data preprocessing, feature level fusion and decision level fusion to generate decision suggestions; the remote communication layer is in two-way communication connection with the monitoring point equipment layer, the data fusion layer and the remote management and control center layer; and the remote management and control center layer issues a control instruction to the monitoring point equipment layer according to the decision suggestion. According to the invention, a fixed and mobile monitoring system is constructed, and a three-layer architecture of data preprocessing, feature level fusion and decision level fusion is combined, so that the scientificity of decision suggestions is improved while all-parameter and all-region monitoring of the farmland is realized.

The invention discloses an energy storage system remote control method and system based on a cloud platform, and relates to the technical field of energy storage systems. According to the energy storage system remote control method based on the cloud platform, centralized and intelligent remote management of the distributed energy storage system is realized by constructing a closed-loop control architecture of data acquisition, intelligent analysis, decision generation and instruction execution, and the cloud platform can realize remote control of the distributed energy storage system by virtue of the strong computing power of the cloud platform. According to the method, mass multi-modal operation data can be deeply mined and analyzed, and the method exceeds simple logic of a local system based on a fixed threshold value, so that a more scientific and accurate optimization regulation and control instruction is generated. Therefore, the identification capability and the control precision of the potential risk of the system are improved, the operation and maintenance personnel can complete advanced intervention without arriving at the site, the operation and maintenance cost is reduced, and the operation and maintenance speed and effect are improved.

A computer system can remotely manage a vehicle's operational settings. The computer system can cause operational settings data to be downloaded to a vehicle to control one or more operations of the vehicle. The computer system can generate download event information indicating the operational settings data downloaded to the vehicle and a user associated with the vehicle. The computer system can access a pricing structure associated with operational settings. The computer system can charge the user based on the pricing structure and the download event information.

A kind of GPON hardware system based on Zynq architecture, including Zynq framework SoC chip, optical line terminal optical module and optical network unit optical module, Zynq framework SoC chip includes processing system and programmable logic part, processing system and programmable logic part communicate by AXI-lite protocol.The GPON hardware system of flexible, scalable, easy maintenance network topology of P2P (point to point) or P2MP (point to multipoint) provided by the application is composed of Zynq architecture Soc chip and OLT (optical line terminal) optical module, ONU (optical network unit) optical module etc., the number of each node of system and topology can be flexibly set, and each node can be managed, configured and maintained remotely by SoC development platform based on Zynq architecture, and the hardware system built by it has the advantages of simple system, controllable cost, management configuration, simple upgrade and maintenance, high safety and reliability, no backdoor etc.

The invention discloses a data remote management system and method of a glycosylation monitor, and relates to the field of data management.The data remote management system comprises a data management module used for monitoring the data state of blood glucose data in the transmission process, and the data management module comprises a data collection unit, a data transmission unit, a data tracking unit and a suspension state data recognition unit; the constraint mapping module is used for performing constraint mapping on the blood glucose data, and the constraint mapping module comprises a constraint space modeling unit, a constraint drift detection unit and a data restoration and adjustment unit; and the constraint consensus module is used for performing consistency processing on the blood glucose data, and the constraint consensus module comprises a state synchronization unit, a convergence control unit and a consensus adjustment unit. By introducing a data tracking unit, a suspended state data identification unit and a dynamic adjustment mechanism, intermediate state data can be tracked through an independent state chain, and suspended state identification and marking are performed on the data, so that error analysis caused by the intermediate state data is effectively prevented.

The invention discloses a novel VPSA method biogas decarbonization purification equipment intelligent control joint control system, belongs to the industrial automation and artificial intelligence fusion field, and comprises a global perception and data acquisition layer, an edge intelligent decision and control layer, an accurate execution and linkage control layer, and a cloud edge collaborative management and digital twinborn layer four-layer architecture. The global sensing layer is provided with a 48-node sensor network and a 10kHz acquisition card to complete data acquisition preprocessing; the edge decision-making layer carries a reinforcement learning algorithm and an LSTM-CNN model through an ARM + FPGA architecture; the precise execution layer realizes millisecond-level response through a high-speed execution mechanism and a Petri net linkage matrix; and the cloud side management layer realizes remote management and virtual debugging by relying on a cloud platform and a digital twin system, solves the problems of rigid control, weak fault early warning and the like of traditional equipment, and is suitable for the fields of biomass energy utilization and environmental protection engineering.