30results about How to "Receive in time" patented technology

The invention provides a multi-data fusion fire-fighting early warning method and platform, and relates to the technical field of fire fighting, and the method comprises the steps: collecting a multi-dimensional environment data set of a target region; performing noise filtering on the multi-dimensional environment data set to obtain a multi-dimensional environment de-noised data set; comprehensively analyzing the plurality of data sources based on the multi-dimensional environment de-noised data set to generate fire-fighting comprehensive data, and fusing the multi-dimensional environment de-noised data set to obtain a multi-dimensional environment fused data set; building a fire risk model according to the fire-fighting comprehensive data, synchronizing the multi-dimensional environment fusion data set to the fire risk model for evaluation according to a plurality of data sources, and obtaining a fire risk level of the target area; and generating a fire-fighting early warning instruction based on the fire risk level, and sending the instruction to the remote control terminal. According to the method, the technical problem that a traditional fire early warning method is single in monitoring means and is easily interfered by environmental factors to cause false alarm or missing alarm is solved, and the accuracy and response speed of fire early warning are remarkably improved.

The invention provides a wireless communication method, terminal equipment and network equipment. The method comprises the following steps: the terminal equipment receives first configuration information, wherein the first configuration information is related to a trigger request of a target SIB1; the terminal equipment sends a first request to network equipment, wherein the first request is used for requesting the target SIB1; the terminal equipment receives the target SIB1 sent by the network equipment; wherein the first configuration information is used for indicating a first lead code related to the first request and / or a transmission resource of the target SIB1.

The invention discloses an intelligent operation and maintenance service method and system for an electronic port, and relates to the technical field of operation and maintenance services of the electronic port, and the system comprises a data collection module which is used for monitoring the operation state of equipment in the electronic port in real time, and obtaining the operation parameters of the equipment; and the data analysis module is connected with the data acquisition module, and performs preprocessing based on the acquired operation parameters to obtain lossless parameters. According to the intelligent operation and maintenance service method and system for the electronic port, reasonable resource allocation, workload balance of operation and maintenance personnel and shortening of processing time are realized, the operation and maintenance efficiency is improved, it is ensured that the system can be rapidly processed when a fault occurs, the influence of the fault on electronic port business is reduced, and the service quality of the electronic port is improved. Reasonable resource allocation, workload balance and processing time shortening can be realized, and the operation and maintenance efficiency and the system performance are improved.

The invention discloses an online monitoring method for a voltage transformer, belongs to the technical field of power systems, and is used for solving the problems of low online monitoring efficiency, low data processing speed and high storage cost of the voltage transformer in the prior art. Comprising an acquisition module, a data processing module, a fault diagnosis module, a database and a personnel terminal module. The acquisition frequency is dynamically adjusted through the acquisition module, unnecessary data acquisition is reduced through intelligent data acquisition, the storage cost is reduced, the data processing module sends an operation parameter set which may diagnose a fault to the fault diagnosis module, and the fault type and grade are accurately predicted in combination with the fault diagnosis module. According to the method, the fault diagnosis module is helped to perform fault analysis efficiently and specifically, the storage duration of the data in the database is intelligently adjusted according to the analysis result of the data diagnosis change line, storage resources are helped to be optimized, unnecessary data storage is reduced, and therefore the storage cost is reduced.

The invention relates to an alarm method, system and device for an intelligent cabin and a storage medium, and the method comprises the steps: obtaining alarm information, carrying out the feature extraction of the alarm information through a feature extraction algorithm, and obtaining a feature set of the alarm information; the feature set of the alarm information is analyzed, an analysis result of the alarm information is obtained, and the analysis result comprises the priority of the alarm information and an alarm popup window format; the current audio state of the vehicle is obtained, analysis is carried out in combination with the alarm information priority and the current audio state of the vehicle, and an audio adjustment scheme is obtained; and according to the audio adjustment scheme, the output audio of the vehicle is adjusted, and the alarm pop-up window format is transmitted to the central control large screen. The method has the effect of enhancing the user experience.

The invention relates to the technical field of pressure early warning, in particular to an intelligent early warning method and system for the pressure of a liquid storage tank, and the method comprises the steps: 1, carrying out the real-time collection of the early warning data of the liquid storage tank, and obtaining the monitoring parameters of the intelligent early warning of the pressure, 2, analyzing the monitoring parameters of the step 1, and obtaining the influence indexes of the pressure early warning of the liquid storage tank, 3, evaluating the liquid storage tank pressure fused with the influence index obtained through analysis in the step 2 to obtain a pressure fluctuation parameter, and 4, comparing the results obtained in the step 2 and the step 3 with a pressure threshold value and a pressure fluctuation threshold value respectively to obtain the liquid storage tank pressure fused with the influence index. And step 5, carrying out man-machine interaction on the intelligent early warning information of the pressure of the liquid storage tank obtained in the step 4. Through the big data technology and the sensor technology, real-time monitoring and early warning of the pressure of the liquid storage tank can be achieved, and the production safety is improved.

The invention relates to the technical field of underwater rescue equipment, and discloses a wearable exoskeleton robot for underwater rescue, which comprises a trunk suite worn on the trunk part of a human body and used for protecting the human body, and a helmet suite worn on the head of the human body is arranged at the upper part of the trunk suite and used for protecting the head of the human body; the remote controller is used for protecting the head of a person, supplying oxygen and communicating with remote control equipment; the two arm sheaths are mounted on the two sides of the upper portion of the trunk suite correspondingly and used for protecting the arms of the human body; the number of the leg protection sleeves is two, the leg protection sleeves are installed on the two sides of the lower portion of the trunk sleeve piece respectively and used for protecting the legs of the human body, and underwater propellers are installed at the bottoms of the leg protection sleeves. By arranging the energy storage belt mechanism, replacement and maintenance of a whole exoskeleton power battery are facilitated, the stability of continuous underwater work is ensured, and meanwhile by arranging the control system to work cooperatively with the exoskeleton, stable operation and accurate operation of the exoskeleton are ensured.

The invention discloses an intelligent power grid monitoring system, which comprises a public total power grid center, a reactive voltage control center, a dynamic grouping voltage control center and an intelligent server terminal, and in the public total power grid, voltage is transmitted to users through the reactive voltage control center, the dynamic grouping voltage control center and the intelligent server terminal. Meanwhile, cluster control is carried out, and the control requirement for the new energy high-permeability regional power grid is met. According to the intelligent power grid monitoring system, on the basis of dynamic grouping double-time-sequence multi-resource cooperative reactive voltage control, during voltage transmission, voltage transmission testing and instruction receiving and issuing can be carried out, meanwhile, data are analyzed in real time, and an artificial intelligence online decision technology is carried out on reactive voltage control; cluster dynamic reactive power rapid and accurate group control use can be carried out on an area, and new energy high-permeability power grid reactive power voltage cooperative system processing control is carried out.

The invention relates to the technical field of vehicle-mounted data processing, in particular to a safety method for instrument alarm icon detection, which comprises the following steps: after a black screen signal is received, an instrument application program receives a fault signal and performs logic judgment on the fault signal to obtain an alarm icon state of the fault signal; the instrument application program sends an alarm icon state of the fault signal to a UI thread and an SOC system adaptation layer; the SOC system adaptation layer forwards the alarm icon state of the fault signal to an SOC MCU, and the SOC MCU forwards the alarm icon state of the fault signal to a screen MCU; the screen MCU receives the alarm icon state of the fault signal and performs state detection so as to determine a mapping decision according to a detection result; and the screen MCU continuously monitors and updates the alarm state, and then resets the monitoring state after the system is recovered. According to the invention, the fault signal processing efficiency is effectively improved.

The application provides a serial port virtualization method, system, device and storage medium, the method comprises the following steps: creating an inotify handle through a virtual serial port client program, and adding a file or a directory to be monitored by calling an inotify monitoring function; reading an event from a file descriptor of the inotify through a reading function of the virtual serial port client program; in response to receiving remote access, determining whether to receive data according to a file opening flag; and deploying the virtual serial port client program to a client, virtually connecting a TCP / IP network port to a serial port device, and connecting to a remote serial port through a serial port line to realize data communication. The application adopts an inotify mechanism to prevent a serial port from echoing back, virtually connects a serial port to a network, and realizes network transmission of serial port device information, thereby solving the problem of remote access of a serial port terminal device.

The application provides a method and device for sending alarm information and a storage medium, relates to the field of communication, and is used for improving the efficiency of system operation and maintenance. The method is applied to a server. The method comprises the following steps: acquiring a plurality of first batches of data, wherein the first batches of data comprise component information of at least one component, and the at least one component is a component in the server; determining a target value according to the plurality of first batches of data and the component information of a target component, wherein the target value is the number of second batches of data, and the second batches of data are batches of data in the plurality of first batches of data that do not comprise the component information of the target component; if the target value is greater than a preset number threshold, generating alarm information, wherein the alarm information is used for indicating that the component information of the target component is not acquired; and sending the alarm information to a terminal.

The present invention relates to the technical field of direct current telemetry, and discloses a power line direct current telemetry device, including a support plate, a connecting pipe fixedly connected to the top of the support plate, a signal pole fixedly connected to the top of the connecting pipe, a telecommunication pole electrically connected to the top of the connecting pipe, a signal converter electrically connected to the top of the signal pole, and also includes: a buried device, including a buried pipe fixedly connected to the bottom of the connecting pipe, a receiver electrically connected to the bottom of the connecting pipe, a test core electrically connected to the top of the receiver, a connecting plate fixedly connected to the surface of the buried pipe, a digging plate fixedly connected to the surface of the connecting plate, and a sawtooth groove opened on the surface of the digging plate. By setting the buried device, the electrical harmonics emitted by the underground cable can be collected more accurately.

The utility model discloses a dry granulation feeding device, which relates to the technical field of ceramic powder granulation and comprises a mixing bin positioned between a fan and a distributor. The mixing bin is connected with the fan through an air inlet pipe, and the air inlet pipe comprises an external connection part and an internal extension part; the internal extension part sequentially comprises a straight line section and an internal contraction section; by adopting the design that the linear section and the adduction section of the air inlet pipe form a Venturi type nozzle structure, when air flow is sprayed out through the adduction section of the internal extension part, the flow speed is increased, the pressure is reduced, a negative pressure environment is formed to suck powder, and the adduction section is located on the lower side of the feeding port; in this way, it is ensured that air flow sprayed out of the inward contraction section receives powder fed from a feeding machine in time when not completely accelerated, gaps are reserved between the straight line section and the inner wall of the mixing bin and between the inward contraction section and the inner wall of the mixing bin, and therefore it can be ensured that the position of the rear side part outside the internal extending part can be matched with a Venturi type nozzle structure to form forward air flow.

This invention discloses a solar collector panel for buildings, relating to the field of solar collector panel technology. It includes a movable block, a long plate, a flexible plate, a chemical tube, an L-shaped block, a protrusion, and an irregular rod. The movable block is threaded onto the circumferential surface of a reciprocating screw. The long plate is fixedly installed at the bottom of the movable block. The flexible plate is rotatably installed at the bottom of the long plate. The chemical tube is fixedly installed on the side of the long plate away from the motor. The L-shaped block is fixedly installed on the front of the long plate, and the end of the L-shaped block away from the motor can elastically extend and retract. The protrusion slides through the front of the L-shaped block near the left side. The irregular rod is fixedly installed on the side of the protrusion away from the motor. This design ensures maximum sunlight reception, maintains high power generation efficiency, protects the physical structure of the solar panel, extends its service life, significantly reduces the frequency of manual cleaning, and lowers maintenance costs and safety risks.

The invention discloses a driving active safety robot control system based on artificial intelligence, and relates to the field of driving safety control systems, and the system comprises an alarm level module which is used for setting different types of alarm levels; the alarm type module is used for setting different driving alarm types and configuring corresponding rules; the processing type module monitors the generated alarm data and is used for setting different driving safety behavior processing modes; the alarm flow module is used for setting alarm processing after the alarm is generated and configuring corresponding execution rules; the AI monitoring robot module is a control center for driving active safety behavior monitoring and is used for setting a behavior monitoring mode; and the AI knowledge base module is used for setting different active safety knowledge bases and pushing early warning in a classified manner. Through multi-module cooperation, alarm grade division, alarm type setting, intelligent robot processing introduction, efficient alarm process construction and AI monitoring, the driving safety guarantee level is comprehensively improved, and the accident rate is reduced.

The invention discloses an operation protection device of a big data machine room channel monitoring host. The operation protection device comprises a protection device, a 4G module, a farad capacitor and a monitoring host mainboard CPU module. The farad capacitor is connected with the 4G module; the protection device is respectively connected with the 4G module and the monitoring host mainboard CPU module; the protection device comprises an on-line detection circuit, a reset circuit, a dial-up input circuit, a voltage sampling circuit, a commercial power failure detection circuit and a master control MCU. The on-line detection circuit is connected with the monitoring host mainboard CPU; the reset circuit is respectively connected with the main control MCU and the monitoring host mainboard CPU; the commercial power failure detection circuit, the dial-up input circuit and the voltage sampling circuit are respectively connected with the master control MCU. According to the invention, the 4G module, the monitoring host mainboard CPU module, the protection device and other modules are integrated and are tightly matched with the main control MCU, so that a real-time alarm function and omnibearing protection of the channel monitoring host are realized.

The invention discloses a kitchen induction cooker range Internet of Things automatic power-off fire protection device which comprises an integrated machine shell, the integrated machine shell is a cavity shell of a rectangular structure, an installation assembly is arranged on the integrated machine shell and fixed to a building, a control wire connector is arranged in the integrated machine shell, and the control wire connector is connected with a power supply line of an induction cooker range; the invention relates to the technical field of kitchen fire fighting, and discloses an internet-of-things automatic power-off fire fighting device for a kitchen induction cooker, which is designed and integrated with various sensors according to the characteristics of the induction cooker, realizes a fire fighting strategy taking prevention as a main part, comprehensively monitors the kitchen environment, can quickly decide a processing means according to various environmental parameters of the kitchen induction cooker, and improves the fire fighting efficiency. Rapid and automatic power-off is realized through controlling the wire connector, and through linkage of the central controller and external Internet of Things equipment, alarm multi-level performance is improved, linkage with intelligent kitchen equipment is realized, and the problem of information isolated island is solved.

The utility model discloses a safety positioning and monitoring system for construction site personnel, which belongs to the technical field of positioning and monitoring and comprises positioning equipment, a wireless communication module, a wireless base station, a gateway, a central monitoring module, an emergency response module and terminal equipment. High-precision personnel positioning can be achieved under various working conditions, the position and the moving track of each worker can be tracked in real time, the accuracy and the real-time performance of personnel monitoring are improved, the integrated sensors can monitor all-around and all-weather safety monitoring of the workers, blind areas are effectively avoided, potential safety hazards are found in time, and the working efficiency is improved. The emergency response module rapidly recognizes abnormal conditions through the logic processor, the alarm trigger, the positioning auxiliary unit and the emergency communication module are linked, related personnel can be notified in the first time, accurate accident site information can be provided, the emergency response time is greatly shortened, and the accuracy and efficiency of safety monitoring are improved.

The invention belongs to the technical field of intelligent monitoring, and provides a security monitoring method based on deployment and control ball data multiplexing, comprising the following steps: planning the monitoring range and number of deployment and control balls, and integrating Beidou positioning modules in the deployment and control balls; automatically adjusting the deploy and control ball to a horizontal state by using a holder and a tilt angle sensor; videos and data acquired by the monitoring balls are transmitted to a monitoring center in real time through wireless communication; preprocessing the transmitted video data, and performing intelligent analysis on the video data; videos and data are shared to related departments, multi-terminal access is allowed, and the dynamic state in a monitoring area is analyzed through a data multiplexing technology; when an abnormal condition is detected, an alarm mechanism is triggered immediately; according to the invention, not only are the coverage and real-time performance of monitoring improved, but also the efficiency and effectiveness of coping with security incidents are greatly improved through intelligent analysis and a data sharing mechanism, so that the reduction of potential safety hazards and risks, the optimization of resource configuration and the improvement of the overall security guarantee level are facilitated.

The present invention discloses an active driving safety robot control system based on artificial intelligence, which relates to the field of driving safety control systems, including: an alarm level module, which is used to set different types of alarm levels; an alarm type module, which is used to set different types of driving alarms and configure corresponding rules; a processing type module, which monitors the generated alarm data and is used to set different driving safety behavior processing methods; an alarm process module, which is used to set the disposal after the alarm is generated and configure the corresponding execution rules; an AI monitoring robot module, which is the control center for active driving safety behavior monitoring and is used to set the behavior monitoring method; an AI knowledge base module, which is used to set different active safety knowledge bases and push warnings by category. The present invention comprehensively improves the driving safety guarantee level and reduces the accident rate through multi-module collaboration, dividing alarm levels, setting alarm types, introducing intelligent robot processing, building efficient alarm processes and using AI monitoring.

The present invention relates to the field of artificial intelligence, and in particular to a minimally invasive surgery neural monitoring system, which comprises an acquisition module, an analysis module, a processing module and an adjustment module; the acquisition module monitors the electroencephalogram (EEG) signals and related neuroanatomical and physiological parameters in minimally invasive surgery in real time; the analysis module calculates the neural path length and waveform time interval, constructs a three-dimensional neural model, and identifies abnormal EEG signals; the processing module integrates historical data to assess surgical risks; the early warning module outputs a safety warning based on the comparison between the risk level and a preset threshold; the system effectively monitors the neural status in minimally invasive surgery and improves surgical safety.

The invention relates to the technical field of food seals, in particular to a food traceability integrated intelligent electronic seal system which comprises an optical seal monitoring module, a smell monitoring module, a data acquisition and storage module and an abnormity alarm module. The optical seal monitoring module monitors the physical change of the surface of the seal in real time and identifies the early damage of the seal; the smell monitoring module is used for detecting the concentration change of volatile organic compounds in a food package in real time and predicting whether the food is in an early stage of decay or deterioration or not; the data acquisition module is responsible for acquiring monitoring data in real time; and the abnormity alarm module is used for immediately sending out an alarm signal when monitoring that the seal is damaged or the food smell is abnormal based on the acquired monitoring data. According to the invention, the system can find problems in time at the early stage of seal damage or food deterioration, and the monitoring capability of food package integrity and safety is improved.

The present invention relates to the field of business adaptation technology, specifically to a business adaptation intelligent analysis method and system combined with customer portraits; first, customer data is collected from multiple data sources, then the collected data is processed, customer interest tags are extracted, a customer-interest tag matrix is ​​constructed, and the customer's purchasing power and loyalty are comprehensively evaluated. Then, the customer's portrait is updated according to the interest preferences of similar customers, and then the customer's business demand data is collected, a business demand model is constructed, the customer's demand intensity is quantified, and a demand scoring vector is generated, and the customer portrait is matched with the demand scoring vector, and the adaptation score is calculated to generate personalized recommendations for the customer, and finally the product or service with the highest matching degree with the customer's demand is recommended first, and relevant recommendations are pushed through multiple channels to improve customer satisfaction and conversion rate. The present invention improves resource utilization efficiency and customer satisfaction, thereby achieving more efficient enterprise operations and customer service.

The invention relates to the technical field of communication, in particular to a satellite firmware upgrading system and method based on an Android system, and the system comprises an Android Telephone which is used for processing and managing the communication interaction of wireless electronic communication equipment loaded with the Android system; the Framework is in communication connection with the Android Telephone through an SAT RIL, is an Android system framework layer and is used for providing an application program API interface; the SAT Modem is integrated with a satellite communication module, is connected with the Android Telephone through the Framework, and is in communication connection with a satellite module through a UART (Universal Asynchronous Receiver / Transmitter) serial port at the same time; and the SatUpgrader App is respectively in communication connection with the Android Telephone and the SAT Modem, and meanwhile, the SatUpgrader App is provided with a satellite firmware upgrading program which is used for upgrading a satellite module. According to the invention, various satellite firmware upgrading application scenes are comprehensively considered, and the updated satellite firmware can be quickly transmitted to the satellite module of the user mobile phone, so that the functional problem caused by the fact that the satellite firmware of the user mobile phone is not updated for a long time is avoided.

The invention discloses a multi-tenant-based adaptive service alarm system, which relates to the field of service intelligent analysis and comprises a data collection module, an aggregation storage module, an alarm rule module, an alarm calculation module and an alarm notification module. Key business and system performance indexes are monitored in real time through the lightweight data collector, effective feature screening and anomaly detection are carried out on data through the decision tree model, the data quality is improved, efficient grouping summarization of the key business indexes and the system performance indexes is achieved by designing a proper database table structure and indexes, and the data quality is improved. By calculating floating values and weights of tenants under different time scales, an alarm threshold value can be adjusted according to real-time flow changes, false alarm or missing alarm possibly caused by a fixed threshold value is avoided, alarm rules are graded, corresponding priorities are set, multi-channel notification is supported, and a notification callback mechanism is established to record a sending result, so that the alarm efficiency is improved. And it is ensured that high-priority alarms can attract attention in time and optimize resource use.

The invention relates to a data transmission system and computer equipment, the system comprises a host and a display chip, and a video frame generation module, an SDP processing module and a video controller are integrated in the display chip; the host is used for sending a plurality of stored SDP slice data corresponding to a target video frame to the SDP processing module under the condition of detecting that the target video frame is generated by the video frame generation module; the SDP processing module is used for recombining a plurality of pieces of SDP switching data and sending the obtained recombined SDP data to the video controller; and the video controller is used for receiving the recombined SDP data through the SDP interface, and fusing the target video frame received through the video transmission channel with the recombined SDP data based on a self-adaptive synchronization mechanism to obtain data to be displayed.

The invention discloses a navigation prompting method and device, a storage medium, electronic equipment and a vehicle, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining navigation indication information which comprises at least one of turning indication information and speed limit indication information; based on the navigation indication information, a non-voice broadcast type prompt signal is output, and the prompt signal is used for prompting a driving user to execute target driving operation according to the navigation indication information. According to the invention, non-voice broadcast type driving operation reminding can be performed on the driving user based on the navigation indication information, so that the driving user is prevented from missing the navigation indication information due to the influence of a noisy environment, and the driving safety is improved.

The invention relates to the technical field of intelligent electronic locks, and discloses an intelligent lock anomaly detection method and system, an intelligent lock and a storage medium. Intelligent lock information is reported and diffused to a whole distributed cluster, and the intelligent lock in a monitoring mode monitors operation information broadcasted by other intelligent locks in a broadcasting mode; according to the method and the system, the detected abnormal intelligent lock identifier and specific abnormal information are reported to the server, and the surrounding intelligent locks participate in abnormal information monitoring, so that the problem that the intelligent lock cannot report local information to the server under the abnormal condition of stand-alone communication is prevented, a user can receive the abnormal information of the intelligent lock in time, and the user experience is improved. And the use experience of the intelligent lock is optimized.

The invention relates to the technical field of vehicle-mounted sound equipment, in particular to a sound equipment control system, a sound equipment control method and vehicle-mounted sound equipment. The connection module is connected with a vehicle-mounted system through a circuit or a communication module and is connected with an external system through wireless communication, so that the sound control system can obtain signals of the vehicle-mounted system and the external system. The judgment module judges the signal source of the connection module, and then the decision module determines the sounding strategy according to the signal source. After the control module obtains the sound production strategy instruction, the first sound module and the second sound module are made to work according to the sound production strategy according to the sound production strategy, so that the vehicle-mounted sound system adopts different sound production strategies according to different signal sources, and the vehicle-mounted sound system meets diversified requirements.

This invention relates to the field of machine learning scheduling technology, specifically to an intelligent triage and scheduling system based on patient data streams. The system includes a vital sign acquisition module, a deterioration distribution module, an equipment triggering module, an access control addressing module, and a triage and scheduling module. In this invention, multidimensional patient monitoring data is extracted and compared with a safety baseline within a continuous observation window. Deviations are continuously accumulated and cross-aggregated to construct an objective quantitative baseline characterizing the degree of deterioration in the patient's overall condition. When the deterioration score exceeds the takeover threshold, the system skips the software queuing process to locate an available physical emergency space. The underlying network switches electronic access control and emergency equipment relays to the activation level, forcibly opening the physical emergency channel. This eliminates the time loss caused by critically ill patients waiting for room cleaning and equipment activation, achieving an instantaneous transition from critical vital sign data to hardware-level scheduling and control commands, ensuring that critically ill patients receive timely and effective treatment.