151results about How to "Efficient communication" patented technology

The invention discloses a distributed architecture of an intelligent emergency command and dispatch system and a collaborative decision-making method. A distributed architecture comprising a basic resource layer, a support service layer and an application layer is constructed, and functions of multi-type alarm access, accurate alarm positioning, intelligent power dispatching and the like are realized by using multiple technologies. And establishing a collaborative decision-making mechanism which covers problem modeling, communication protocol design, negotiation mechanism development, dynamic adjustment and decision-making execution. The system is deployed after integration testing and security testing, personnel training, daily hardware maintenance, software monitoring, data backup and security component updating are carried out. The emergency commanding and dispatching efficiency, accuracy and collaboration are improved, the method adapts to complex emergencies, and public safety is guaranteed.

The invention discloses a patient medical satisfaction evaluation system based on big data, and relates to the technical field of big data analysis. The medical satisfaction evaluation system comprises a data acquisition and processing module, an evaluation index management module, a satisfaction questionnaire survey module, a multi-dimensional evaluation module, a satisfaction grading module and a service quality optimization module. According to the big data-based patient doctor-seeing satisfaction degree evaluation system, through real-time collection and analysis of patient satisfaction degree data including a medical quality evaluation index and a doctor-seeing experience evaluation index, registration waiting time, diagnosis and treatment waiting time and an endemic area environment score are monitored, service bottlenecks and patient dissatisfaction fields are rapidly identified, and the patient satisfaction degree evaluation efficiency is improved. The hospital can adjust resource distribution in time, the overall quality of medical services is evaluated through the patient complaint score and the doctor-patient communication transparency score, effective communication between doctors and patients is promoted, transparency is improved, and therefore the satisfaction degree and credibility of the patients for the medical services are improved.

The invention provides an industrial telephone communication signal enhancement method and system. The method comprises the following steps: step 1, acquiring historical communication signal data, real-time communication signal data and environment data of an industrial telephone; according to the method, the signal interference recognition model is constructed, the interference signal features are accurately recognized, interference is removed through the intelligent filtering algorithm, the problems of signal strength weakening and call quality reduction caused by electromagnetic interference are effectively solved, meanwhile, the influence of environmental factors such as temperature and humidity on communication signals is considered, corresponding compensation measures are adopted, and the communication quality is improved. The adaptability and the stability of the system in a complex industrial environment are improved; signal relay equipment is arranged, so that the signal coverage range is effectively expanded, and efficient communication and coordination among departments in industrial production are ensured; dynamic adjustment is carried out according to the communication signal quality monitored in real time, it is guaranteed that the system is in the optimal working state all the time, and the intelligent level and stability of the system are improved.

The invention relates to the technical field of intelligent power grids, in particular to an inspection vehicle tracking and communication optimization method and system, and the method comprises the steps: constructing an RIS-ISAC-NOMA system framework oriented to an intelligent power grid application scene, converting a non-line-of-sight NLOS path into an equivalent virtual line-of-sight LOS path through a reconfigurable intelligent metasurface RIS in a non-line-of-sight NLOS scene, and carrying out the tracking and communication optimization of an inspection vehicle through the virtual line-of-sight LOS path. A propagation path of an ISAC signal is adjusted in real time, and a vehicle tracking and predicting method based on an EKF algorithm is designed, so that efficient vehicle real-time sensing and communication are realized; a multi-inspection vehicle power distribution optimization scheme is provided in combination with the NOMA technology, the communication rate and the resource utilization efficiency of the system are further improved, meanwhile, the simulation result also verifies the advantages of the proposed system in the aspects of communication performance and resource utilization, and the overall efficiency of the system can be remarkably improved while the pilot signal overhead is reduced.

The invention provides a double-screen different-display real-time translation machine implementation method and device, and the method comprises the following steps: 1, obtaining and starting a double-screen different-display real-time translation machine, and initializing an SOC SSD2386 chip, two touch screens, a plurality of microphones distributed near the two touch screens and a storage unit of the double-screen different-display real-time translation machine; by adopting a double-screen different display technology, the target language text information can be respectively and clearly displayed on the touch screen of the opposite user, so that the situation of image disorder caused by mixed display of multiple languages on the same screen is avoided, the information reading speed and accuracy of the user are greatly improved, and the communication fluency and efficiency are ensured; according to the method, the target language text information is individually set according to the display preference of the user, the font size, the color and the like are adjusted, and only the translation result required by the opposite user is displayed, so that the interference of irrelevant information on the user is effectively avoided, the user experience is improved, and the smooth communication is promoted.

The invention discloses a method and a system for calculating the residual electric quantity of step tariff for low-voltage users, and the method comprises the steps: introducing a machine learning algorithm, dynamically adjusting an early warning proportion threshold value according to the historical power consumption behaviors, seasonal power consumption rules and holiday and festival factors of the users, and guaranteeing that early warning is timely but not too frequent; setting a threshold adjustment rule, and when it is predicted that the user will enter the next step electricity price interval within the first preset time, gradually reducing an early warning threshold in advance so as to early warn the user in advance; calculating the step electricity price residual electricity quantity in real time, namely subtracting the current electricity consumption from the target step electricity consumption; according to the current electricity consumption time period and the step electricity price, the current electricity price is accurately calculated, and segmented charging details are included; when the power utilization proportion reaches the early warning threshold value after dynamic adjustment, early warning information is automatically generated; and sending the early warning information to the user through a short message, an e-mail, an APP push or an intelligent sound box voice communication channel.

The invention discloses a personalized teaching method and system based on multi-dimensional learning style analysis, and relates to the technical field of teaching. The personalized teaching system based on multi-dimensional learning style analysis comprises a learning style analysis module, and the learning style analysis module is connected with a teaching content management module. According to the system, a personalized learning plan can be made according to the learning style and progress of students through a personalized learning path and an intelligent recommendation engine, learning is flexible and efficient, in addition, rich teaching resources such as videos, interactive courses and textbooks in the system enhance the diversity and interestingness of learning, and the learning efficiency is improved. The real-time feedback and multi-dimensional evaluation mechanism ensures continuous support in the learning process and helps students to adjust strategies in time to optimize the learning effect, the system also combines online and offline mixed teaching, provides wider learning choices, enhances interaction and communication opportunities between teachers and students, and improves the learning efficiency. Therefore, the teaching effect and the satisfaction degree of students are effectively improved.

The invention relates to the technical field of vehicles, in particular to a vehicle driving warning sound generation method and device, equipment and a storage medium. Environment bottom noise data is obtained through real-time collection and analysis, and a frequency band possibly generating a masking effect on the generated warning sound is judged according to the data; in particular, the system recognizes the frequency bands influenced by the masking effect according to the spectral characteristics of the environmental noise, and increases the volume of the frequency bands in a targeted manner to ensure that the warning sound can be effectively transmitted to pedestrians, and in addition, the system also can give the warning sound to the pedestrians according to the actual driving scene of the vehicle. According to the method, the most appropriate warning sound frequency band and gain parameters can be intelligently selected to adapt to different acoustic environments, such as an underground garage or an open parking lot, so that the pedestrian warning effect when the electric vehicle runs at a low speed is remarkably improved.

The invention discloses an ad hoc network communication method and device based on a soft bus in a power transmission line, all on-line monitoring devices are connected to form a chain-type ad hoc network based on the soft bus in a hardware layer, and each on-line monitoring device is a node; a node in the chained ad hoc network executes the following method: receiving a service request message broadcasted by a first neighbor node in the chained ad hoc network; sending a broadcast of a subscription service request message, creating a data communication link with the first neighbor node, and updating the information of the current node to link related information; receiving the service request message broadcasted by the first neighbor node again, judging whether the content of the service request message is consistent with the link related information or not, and if so, stopping sending the broadcast of the subscription service request message; and broadcasting the service request message, and initiating a path establishment request to a second neighbor node in the chained ad hoc network. An existing ad hoc network mode is simplified, and effective communication can be carried out between devices.

The utility model relates to a large typhoon-resistant deep sea aquaculture net cage which comprises a net cage floating body structure located under the water surface, and the net cage floating body structure is provided with at least one annular submerging and floating pipe. The upper-layer low-resistance net hanging structure is located above the net cage floating body structure, the upper-layer low-resistance net hanging structure is provided with a plurality of vertical rods which are integrally and annularly distributed at intervals, each vertical rod is provided with an upper end and a lower end, and the lower ends of the vertical rods are connected to the net cage floating body structure; the netting is integrally arranged in an internal space formed by the upper-layer net hanging structure and the net cage floating body structure, and the upper part of the netting is connected to the upper ends of the vertical rods of the upper-layer net hanging structure. According to the net cage floating body structure, at least one submerging and floating pipe forms a bearing structure to serve as a main body structure, the main body structure has the net cage submerging and floating functions at the same time, the main body structure is located at the bottom of the periphery of the net cage, and a plurality of vertical rods with enough strength are upwards used for hanging nettings. The impact pressure of stormy waves on the whole net cage is reduced, and seawater inside and outside the net cage efficiently exchanges.

The invention belongs to the technical field of textiles and garments, relates to a texture rating technology, is used for solving the problem that an accurate texture prediction model cannot be established only by depending on factor analysis in the prior art, and particularly relates to a fabric texture evaluation analysis system and method and a storage medium. The evaluation analysis platform is in communication connection with an attribute test module, a perception analysis module, a factor analysis extraction module, a model training module and a texture rating module; the attribute testing module is used for carrying out comprehensive physical attribute testing on the sample fabric and obtaining corresponding attribute parameters; the factor analysis and extraction module is used for extracting common factors according to physical attributes; according to the method, the multi-dimensional objective attribute data is simplified into a small number of common factors by adopting a factor analysis method, and the common factors can effectively reflect the main characteristics of the texture of the fabric by utilizing a regression equation, so that individual differences and evaluation deviations caused by purely relying on subjective scoring are avoided.

The invention relates to an unmanned aerial vehicle ad hoc network clustering method and system based on adaptive node degree difference. According to the method, the multi-channel characteristic of the large-scale unmanned aerial vehicle ad hoc network is considered, the node similarity introducing the multi-channel constraint condition and the adaptive node degree difference is defined for clustering, and the uniformity of the node connection condition can be reflected through the adaptive node degree difference during clustering, so that the clustering result is more balanced, and the clustering efficiency is improved. The problem of excessive competition or waste of resources caused by excessive maximum clusters or minimum clusters is avoided; furthermore, the connection edges among the nodes in the unmanned aerial vehicle ad hoc network after clustering are circularly processed, the modularity increment brought by cluster merging is dynamically calculated, and the optimal node combination is selected for cluster merging, so that the community structure and the overall performance of the unmanned aerial vehicle networking can be continuously optimized, the cluster scale deviation is reduced, and the optimal clustering result is realized.

The invention provides an intelligent power grid communication protocol optimal configuration method, system and device and a medium, and belongs to the technical field of intelligent power grid communication. The method comprises the following steps: collecting communication data of each node in the smart power grid; processing and analyzing the communication data by using a data analysis technology, extracting characteristics of communication requirements, and generating a data analysis result; setting basic parameters of a communication protocol according to a data analysis result; basic parameters of the communication protocol are dynamically adjusted based on an intelligent optimization algorithm, and optimal communication protocol configuration is determined; and the optimal communication protocol configuration is deployed to the corresponding node of the smart power grid, and the optimization effect is evaluated by monitoring the communication performance of each node in real time. Through data driving and intelligent optimization technologies, dynamic adjustment and optimization of communication protocol parameters are realized, and the communication efficiency and stability of an intelligent power grid are remarkably improved.

The invention relates to a networking communication method, platform and device in an internet-free environment and a storage medium, and belongs to the technical field of network communication, and the method comprises the following steps: receiving a connection request sent by a user intelligent terminal, and screening available intermediary terminals; wherein the available intermediary terminal refers to an intermediary terminal capable of establishing Bluetooth connection with the user intelligent terminal, and any intermediary terminal can realize communication with other intermediary terminals based on a pre-established talkback network; obtaining a target intermediary terminal from all the available intermediary terminals, and establishing a Bluetooth connection between the target intermediary terminal and the user intelligent terminal; and receiving a communication request sent by the user intelligent terminal, and executing the communication request through a target intermediary terminal correspondingly connected with the user intelligent terminal, so as to transmit the communication content to the user intelligent terminal which is contained in the communication request and is used for receiving the communication content through the target intermediary terminal and the talkback network. The method and the device have the effect of realizing communication and information interaction in an internet-free environment.

The invention provides an electric quantity metering system and metering method, electronic equipment and a storage medium. The system comprises a gateway meter, a data acquisition module, a data transmission module and a network security monitoring module. Compared with the prior art, according to the embodiment of the invention, the data acquisition module is used for acquiring the electric quantity data metered by the gateway meter and carrying out data processing and correction, so that the accuracy of the metered data can be remarkably improved; the data transmission module is responsible for transmitting the corrected metering data to a power grid dispatching system to realize effective communication between the data acquisition module and the power grid dispatching system; the introduction of the network security monitoring module provides comprehensive network security monitoring for the whole electric quantity metering system, can monitor the data transmission process among the data acquisition module, the data transmission module and the gateway meter in real time, and timely discovers and prevents potential network attack and data leakage risks. Therefore, the security and privacy of the electric quantity data are ensured.

The invention provides a hyperspectral remote sensing image classification method and device and a storage medium, and the method comprises the steps: obtaining a source domain data set and a target domain data set of a to-be-detected hyperspectral remote sensing image, and enabling the sample size of the source domain data set to be larger than that of the target domain data set; performing multi-scale center sample information enhancement processing on the source domain data set and the target domain data set to obtain a first multi-scale center sample set and a second multi-scale center sample set; the first multi-scale center sample set is input into a classification model for pre-training, the classification model comprises a branch fusion network and is used for executing feature fusion processing, and fused spatial spectrum features are output; and a pre-trained classification model is migrated to the second multi-scale center sample set, lightweight fine tuning processing is executed, and the classification model outputs a final target classification result. According to the method, an excellent classification effect is achieved under the condition that the parameter quantity is small, and the classification accuracy of the hyperspectral remote sensing image is improved.

The invention discloses a matching method and system based on a 5G network, Beidou positioning and non-line-of-sight microwave, and relates to the technical field of target signal positioning, and the matching method comprises the steps: building a static and dynamic combined calibration data set through obtaining high-precision geographic position information and real-time signal intensity data, and carrying out the calibration of the calibration data set; and adaptive direction adjustment and rapid focusing of the antenna are supported, and efficient communication and accurate positioning in a complex scene are realized. The calibration matching model is trained based on the calibration data set, so that the precision and adaptability of the model under multiple geographical environments and non-line-of-sight conditions are improved, an efficient antenna positioning mechanism is provided, and the stability and real-time performance of a communication link are guaranteed; the method is particularly suitable for complex environments such as disaster rescue, accident personnel can be quickly and accurately positioned, and rescue efficiency and action reliability are remarkably improved.

The invention relates to the field of power system fault diagnosis, and discloses a transformer substation relay protection information management substation fault test and analysis method, which comprises the following steps that a, a tester is communicated with a transformer substation relay protection information management substation, and the tester has the capability of being compatible with a communication protocol of the relay protection information management substation; b, acquiring related data from the information protection substation by using a tester; c, the collected data are analyzed and processed, and potential fault causes are found out; and d, adopting an efficient fault diagnosis algorithm to quickly locate the fault reason in the operation of the signal protection substation. Through compatibility with various communication protocols of the information protection substation, loading and analysis of dynamic protocols are supported, data frames of different protocols can be automatically identified and analyzed, and efficient and stable communication between devices is ensured. The multi-protocol compatibility improves the adaptability and expansibility of the equipment, and communication of multi-type relay protection equipment and fault detection and management under multiple scenes are realized.

According to the dialogue analysis method and device, the glasses, the equipment and the readable storage medium, the dialogue audio is collected in real time and converted into the dialogue text, the dialogue text is labeled on the basis of the speech function type of the speech round, deep information support can be provided for understanding of the dialogue type, and the dialogue analysis efficiency is improved. Key information and structural features in the dialogue are accurately identified by using a sequence detection rule of a preset dialogue type and a machine learning algorithm, so that feedback information is immediately generated and displayed, a dialogue guider quickly knows the real-time condition of the dialogue in the dialogue process, dialogue adjustment and dialogue process optimization are conveniently and quickly performed, and the dialogue efficiency is improved. And the dialogue efficiency and effect are improved.

The invention relates to the technical field of communication, in particular to an integrated emergency communication system based on multi-network integration type conduction, which comprises a box body, a multifunctional command platform is configured on the box body, and the multifunctional command platform is integrated with the following systems: a pickup and sound amplification system comprising a microphone, a sound console, a loudspeaker and a power amplifier, the microphone, the sound console and the loudspeaker are arranged at the top of the box body, the power amplifier is arranged on the front side of the box body, a power amplifier interface electrically connected with the power amplifier is arranged on the outer wall of the box body, and the system is integrated in the box body and comprises a plurality of subsystems such as sound pickup and amplification, video acquisition and display, centralized monitoring control, communication and network, satellite positioning and power grid dispatching. High integration is achieved, rapid deployment and movement are facilitated, the communication and network system integrates multiple communication modes such as a mobile public network all-network communication mode, a Tiantong satellite communication mode and a Beidou satellite communication mode, the communication reliability in various complex environments is ensured, and the system is particularly suitable for emergency scenes.

A communication control apparatus 3 controls a terrestrial network comprising terrestrial base station 111 installed on the ground and a non-terrestrial network comprising flying communication satellite 131. The non-terrestrial network is provided with a satellite antenna 134 capable of communicating with the communication satellite 131, and a non-terrestrial signal processing unit 135 that processes non-terrestrial signal communicated with communication device 2 in the satellite communication cell 132. The communication control apparatus 3 comprises: a non-terrestrial communication quality information sharing unit 34 that shares, among the non-terrestrial signal processing unit 135 and the terrestrial network, non-terrestrial communication quality information regarding the quality of the non-terrestrial communication between communication device 2 and the satellite antenna 134; and a communication ratio determining unit 135 that determines the ratio of the terrestrial network and the non-terrestrial network to be used for communication with communication device 2 based on the non-terrestrial communication quality information (Figure 2).

The present invention provides a method and system, device and medium for pushing evaluation index values, the pushing method comprising the following steps: obtaining the evaluation index value corresponding to the first user; collecting the historical vital sign parameters of the second user with respect to the first user; pushing the evaluation index value to the second user based on the historical vital sign parameters; wherein the historical vital sign parameters include the vital sign parameters collected from the second user within a first preset time period after the second user receives the historical evaluation index value of the first user. The present invention realizes accurate and differentiated pushing of the evaluation index value corresponding to the first user to the second user through intelligent analysis of the historical vital sign parameters of the second user with respect to the first user, and can build a smart digital education ecosystem in the application scenario of student education, realize close connection and interaction between families, schools and students, and break through the limitation of lack of differentiated evaluation in the traditional digital education model.

Disclosed in the present application are a communication method and apparatus, and a terminal, a base station and a storage medium. The method comprises: a terminal receiving at least two sets of configurations that are sent by a base station, wherein each of the at least two sets of configurations includes carrier information or BWP information, which represents a carrier or a BWP configured by a network side for a specific terminal, a specific slice or a specific service for performing random access.

The utility model discloses a portable AI searches and hits integrated robot, include: car body, install respectively on first double light camera, water cannon module of car body, install respectively on second double light camera, laser ranging module of water cannon module, install in main control unit, battery, communication module of car body, first double light camera, second double light camera, laser ranging module, water cannon module's driver, communication module, battery electricity of main control unit are connected respectively. The utility model discloses through placing battery in chassis box body and installing water cannon module on the outside of chassis box body, realizes the partition structure, can compress the volume of complete machine, thereby controls quality, and manpower can quickly carry deployment. Unique V type damping mechanism layout and active tension mechanism, significantly improve the complex terrain adaptability: break through 30 degree slope limit, and side slope stability is good.

The present invention discloses a low-complexity multi-user communication signal recovery and perception positioning estimation method, which generates and transmits an integrated waveform of superimposed pilot and data at the transmitting end, so that the communication signal and the perception signal are linearly superimposed in the symbol domain using a power allocation method in the same time-frequency resource block, and the receiving end uses a designed low-complexity algorithm to process the received signal to realize the function of simultaneous communication and positioning of multiple users; including: using SCMA technology to design an encoder for superimposed symbols at the transmitting end and a decoder for detection and demodulation at the receiving end, and using the UAMP-SBL algorithm at the receiving end to process the received signal to separate the positioning coordinates of the communication signals of multiple users. The present invention is based on the original RIS-assisted communication system, and can use a low-complexity algorithm to simultaneously obtain the communication data of multiple users and accurate user positioning coordinates without adding additional hardware equipment.

The invention relates to the technical field of instrument and meter maintenance and after-sales service, and discloses an intelligent after-sales service method for instrument and meter products, which comprises the following steps: completing normal production of the products and providing a production and manufacturing information data basis; establishing a data database provided by the intelligent after-sales service; determining a partner providing the intelligent after-sales service, and optimizing a task assignment process and a classification and distribution method of the networked collaborative technology service; the use preference characteristics of each instrument product user on the currently used product are obtained through the user behavior database, and in combination with the knowledge of the instrument expert and the service rules provided by the instrument product manufacturer, the influence of the differentiated behaviors of the user on the performance state of the instrument is analyzed; predicting the item and time for each user to receive the after-sales service next time by combining the prediction model, a standard service rule and a knowledge base; and establishing a temporary authority opening and withdrawing mechanism and a dynamic service node interference mechanism. A corresponding system is also disclosed.

The invention discloses a vehicle-mounted gateway cross-bus signal splitting and selective forwarding method and system, and relates to the technical field of vehicle-mounted network communication, and the method comprises the steps that a gateway ECU receives a network signal message and analyzes the network signal message to obtain an analyzed network signal, and the network signal is obtained from a CAN network or a CAN-XL network; selecting and splitting the analyzed network signal, selecting a network signal needing to be forwarded, and filtering and splitting the network signal not needing to be forwarded to obtain a processed network signal; setting a plurality of priority gradients based on the network signal message, generating a plurality of queues based on the plurality of priority gradients, and inputting the processed network signal into the queues; and setting a time-based trigger condition, packaging the signals in the queue into a new CAN message or a CAN-XL message after the signals in the queue reach the time-based trigger condition, sending the new CAN message or the CAN-XL message to the gateway ECU, and emptying the queue, thereby realizing signal splitting and selective forwarding.

The invention discloses a vehicle braking noise measurement system and method based on an EtherCAT bus. The system comprises a power supply system, an EtherCAT controller, a signal acquisition system and a man-machine interaction system. The method comprises the steps that a brake pressure threshold PTh is set, the brake pressure Pb is set through the pressure sensor, and when Pb is larger than or equal to PTh, the controller collects sound pressure, vibration, temperature, pressure, environment temperature and humidity, vehicle speed and vehicle deceleration signals; when Pb is smaller than PTh, the controller stops collecting; the controller processes the collected sound pressure signal to obtain a peak value Lps and a frequency Fps of a sound pressure signal frequency spectrum; processing the four groups of collected vibration signals to obtain peak values and frequencies Fpv1, Fpv2, Fpv3 and Fpv4 of frequency spectrums of the four groups of vibration signals; if the Fps is the same as any one or more of the vibration frequencies, it is judged that braking noise is generated in the braking process. According to the invention, high-speed and efficient communication is realized through the EtherCAT bus technology, the data synchronization of each sensor is ensured, and the measurement precision is improved.

The embodiment of the invention relates to a communication method, communication equipment and a communication system. The communication method comprises the following steps: determining a first wireless frame; wherein the first wireless frame comprises first identification information, and the first identification information identifies that the first wireless frame is a response frame used for responding to a wake-up frame sent by a second device; and sending the first wireless frame. According to the embodiment of the invention, the first identification information of the first wireless frame clearly distinguishes the function of the first wireless frame as the wake-up response, and a clear wake-up and response mechanism is established in wireless communication.

The invention discloses an early warning method based on a block chain and a sub-control server, and relates to the technical field of production monitoring of each workshop of an automobile, and the method comprises the steps: S1, monitoring the production state of each process section of each workshop based on a PLC, if the production state of a certain process section is abnormal, generating fault information of a fault process section of a target monitoring workshop, the sub-control server reports the fault process section; s2, the sub-control server of the fault process section analyzes the fault information and generates a fault information block of the fault process section; s3, the information block of the fault process section is broadcasted and linked, a new block is generated through verification of other nodes, and the nodes of the workshops are synchronously updated; and S4, each node of each workshop analyzes and obtains corresponding production information according to the received information block of the fault process section, carries out early warning and adjusts a production plan. According to the invention, transparency and tampering resistance of the block chain technology are combined, and an efficient mode is provided to enhance the automobile production monitoring and early warning system.