23 results about "Hotline" patented technology

1. The name of the design product: electronic device with cartoon image dynamic online customer service consultation user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The entity product is a common design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the design product is used for enterprise website platform consultation. When users visit the website, they can conduct online consultation by clicking different buttons of online customer service on the page. 8. The human-computer interaction mode of the graphical user interface: design 1 front view, design 2 front view, design 3 front view, and design 4 front view are all initial interface diagrams; design 1 interface change state diagram is the interface change state diagram based on design 1 front view, automatically scrolling complete subtitles and automatically playing IP image animation, wherein the enterprise IP image circulates to welcome users by opening hands, and the left side circulates to display "xxxx company welcomes you!" subtitles from bottom to top; design 2 interface change state diagram is the interface change state diagram based on design 2 front view, moving the mouse to the blue telephone icon, wherein the consultation hotline is displayed, and the telephone information can be copied through the mouse; design 3 interface change state diagram is the interface change state diagram based on design 3 front view, moving the mouse to the blue email icon, wherein the email information is displayed; design 4 interface change state diagram is the interface change state diagram based on design 4 front view, moving the mouse to the blue communication icon, wherein the scan code information and text are displayed.

This invention relates to a method for measuring the stability margin of a constant-temperature hot-wire anemometer based on in-situ open-loop frequency characteristics, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the amplifier circuit. a By comparing the amplitude ratio and phase difference of the two, the open-loop frequency response G of the system under actual operating conditions of the hot wire is obtained. open (jω); S3. According to G open (jω) Obtain the phase margin of the system and determine its stability. This invention proposes a new method for measuring the stability margin of a constant-temperature hot-wire anemometer, transforming the complex system stability problem into a measurable and analyzable open-loop frequency characteristic stability margin problem, providing a direct and reliable engineering basis for the circuit design of constant-temperature hot-wire anemometers.

The application discloses a new word and a first occurrence event recognition method and device, wherein the method comprises the following steps: obtaining hot-line work order text data according to a preset period, and preprocessing the hot-line work order text data to obtain a structured text stream; performing word segmentation and sliding window processing on the text stream to obtain an initial phrase candidate set; performing statistical access screening on the initial phrase candidate set, and performing alias merging on the candidate phrases passing the statistical access by using consistency rules of specified dimensions to obtain a word candidate set; updating a current space-time reference baseline based on the word candidate set, and recalculating historical full-amount data according to a specified fixed period to re-calibrate the space-time reference baseline; and determining whether there is a new word in the word candidate set and whether there is a first occurrence event based on the re-calibrated space-time reference baseline. Based on the unified space-time reference baseline, the new word and the first occurrence can be accurately and timely determined.

The application relates to the technical field of airborne atmospheric detection, in particular to an airborne cloud water content detection device and method. The device comprises a single-chip microcomputer, a power adjusting circuit, a hot-wire resistance, a signal sampling circuit, a low-pass filter circuit, a temperature sensor and a temperature contrast conversion circuit. The input of the signal sampling circuit is the voltage and current signals output by the hot-wire resistance, which are processed and output to the low-pass filter circuit to generate an analog signal input to the single-chip microcomputer by using the low-pass filter. The temperature contrast conversion circuit obtains a first temperature value based on the resistance value of the temperature sensor and sends the first temperature value to the single-chip microcomputer. The single-chip microcomputer adjusts the power adjusting circuit based on the temperature change value, so that the change value of the ambient temperature of the hot-wire resistance adjacent area is between a first threshold value and a second threshold value. The application controls the heat loss of the hot-wire resistance in a very small range, plays a role in improving reliable static detection, and achieves the real-time and accuracy of cloud water content detection.

This invention relates to the field of electric heating control technology, and discloses a temperature control method and control device for an electric shawl. The method is based on a coaxial sensing heating wire, and achieves frequency domain superposition and injection of longitudinal low-frequency heating signals and radial high-frequency detection signals in a physical topology circuit. It acquires and separates the mixed response signals in real time, extracting the longitudinal low-frequency real impedance and the radial high-frequency equivalent parallel resistance and capacitive reactance. The extracted parameters are substituted into a preset mathematical inversion model to simultaneously calculate the global average temperature, microclimate humidity, and local thermal runaway characteristic factors characterizing the current operating state of the electric shawl. Based on the calculation results, electrical control commands are generated according to a multi-level priority judgment logic, acting on the output circuit of the longitudinal low-frequency heating signal for real-time adjustment. This invention utilizes a single heating wire to achieve multi-dimensional physical quantity sensing, and achieves microclimate adaptive collaborative temperature control while ensuring safe intervention against folding thermal runaway.

The application discloses a kind of based on big language model driven appeal text risk signal identification and evaluation method, comprising: step 1) collection and gather government hotline appeal text as original data input.Step 2) based on big language model, in combination with prompt engineering and thought chain, appeal text is understood and processed, and form available data sample.Step 3) construct and organize text data with emotional label, for training text classification model.Step 4) pre-training text classification big model is obtained by training, and the output of softmax is extracted and generates quantized appeal text emotional features.Step 5) introduce social comparison theory, under the theme of people's livelihood, reference group norm is constructed according to region-matter-time window, and sample abnormal score is calculated using KNN near neighbor outlier identification model.Step 6) according to normal distribution 3-sigma risk classification principle, abnormal score is divided into risk level, and finally output people's livelihood abnormal signal and risk level.The application improves the accuracy and sensitivity of emotion quantification.

The utility model relates to the technical field of air volume detection equipment discloses an elevator car ventilation detection device, including base and hot line type anemograph body, base bottom swing joint has a plurality of support, base top fixedly connected with fixed link, fixed link outside inserts and connects with first telescopic link, first telescopic link inserts and connects with second telescopic link, fixed link outside swing joint has the adjusting frame, and the adjusting frame includes the side pole, and a plurality of first clamping blocks are fixedly connected to the side pole one side, and a plurality of clamps are fixedly connected to the side pole side away from first clamping block. Can through fixed link, first telescopic link and telescopic structure of second telescopic link, match the adjusting frame, the flexible adjustment probe height, solve the problem that the artificial hand holds difficult to detect car top height place ventilation, to obtain more comprehensive data, and the abutment block and compression spring cooperation realize the stable location of whole adjusting frame on the fixed link of different diameters, first telescopic link and second telescopic link.

A wind speed measuring device and method includes: a hot wire connected in a Wheatstone bridge, used to calculate wind speed by measuring the heat loss of the hot wire in the airflow; a temperature sensor positioned near the hot wire to detect the airflow temperature Tg; a heater electrically connected to the hot wire to increase the current in the hot wire, heating it to a predetermined temperature Tw; and a communicative connection between the heater and the temperature sensor, which adjusts the hot wire temperature Tw according to the airflow temperature Tg to maintain a constant superheat ΔT, where ΔT = Tw - Tg. By placing the temperature sensor near the hot wire, when the temperature sensor detects a change in the airflow temperature near the hot wire, the heater adjusts the amount of heat supplied to the hot wire to keep the superheat ΔT constant. This reduces the influence of temperature on wind speed detection and improves the accuracy of wind speed measurement.

This invention relates to a stability measurement method for a constant-temperature hot-wire anemometer based on the identification of equivalent pure delay element parameters, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit of the system to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the amplifier circuit. a By comparing the amplitude ratio and phase difference of the two, the open-loop frequency response G of the system under actual operating conditions of the hot wire is obtained. open (jω); S3. Using the preset transfer function model G * open (s) Fit the measured frequency response to identify the pure delay element G introduced by non-ideal factors such as circuit distributed parameters and device hysteresis. delay (s), and uses its parameter b to quantify the non-ideal factors of the system. This invention realizes in-situ measurement of system stability, quantifies non-ideal factors into measurable parameters, and provides a reliable basis for system stability analysis and circuit design.

Embodiments of the present disclosure disclose a hot line-based disaster emergency unmanned aerial vehicle scheduling method, device, equipment and medium. A specific embodiment of the method comprises: in response to obtaining hot line data, processing unstructured text and structured data in the hot line data to obtain a to-be-analyzed data set; analyzing and processing the to-be-analyzed data set to obtain analysis result information; in response to the analysis result information representing a disaster emergency event to be processed by an unmanned aerial vehicle, correlating and matching the to-be-analyzed data set and the obtained external multi-source data, generating a scheduling control instruction set based on the standardized analysis data set, and controlling the unmanned aerial vehicle to perform scheduling operations based on the scheduling control instruction set. This embodiment realizes the overall improvement of disaster event identification, positioning, path planning and unmanned aerial vehicle response by intelligently analyzing hot line data and deeply integrating unmanned aerial vehicle scheduling, and provides key technical support for intelligent emergency management of various disasters.

The application provides an NTC heating wire and a preparation method thereof. The NTC heating wire comprises, from inside to outside, a central tensile core, a heating core wire layer, a first insulation isolation layer, a main sensing layer, a second insulation isolation layer, a sentinel sensing layer and an outer insulation protection layer. The heating core wire layer is a metal resistance wire spirally wound on the outer surface of the central tensile core. The main sensing layer and the sentinel sensing layer each comprise a thermoplastic elastomer matrix and conductive fillers dispersed therein, and each is internally provided with at least two signal electrodes. The aging rate of the sentinel sensing layer material is greater than that of the main sensing layer material. The NTC heating wire realizes self-monitoring of the aging state through an innovative double-channel sensing structure and material design. The core lies in that two sensing layers with similar characteristics but different aging rates are arranged: the main sensing layer is used for conventional temperature monitoring, and the sentinel sensing layer is designed as a “sacrificial layer” whose aging process is significantly faster than that of the main sensing layer.

This invention discloses a control method for a bridgeless direct-drive digital hot-wire anemometer, relating to the field of fluid measurement technology. The method employs a digital direct-drive closed-loop measurement circuit consisting of a main control unit, a power drive unit, a synchronous acquisition unit, and a hot-wire probe. By synchronously acquiring the voltage at both ends of the hot-wire probe and the voltage on the current sensing element, the real-time resistance and loop current of the hot-wire probe are accurately calculated. The main control unit dynamically sets the target working resistance based on the real-time ambient temperature and a preset superheat ratio, and adjusts the drive signal in real-time based on a digital PID control algorithm, enabling the hot-wire probe resistance to be quickly and accurately locked at the target value. Finally, based on steady-state data and the heat balance equation, the fluid velocity is deduced. This fundamentally eliminates the zero-point temperature drift and parasitic resistance of long wires inherent in traditional bridge circuits, achieving software-based setting of the superheat ratio and flexible optimization of control parameters, thus improving measurement accuracy, environmental adaptability, and the safety of the hot-wire probe.

This application provides a method, apparatus, equipment, and storage medium for managing urban governance events, relating to the field of urban management technology. The method includes: acquiring original event reports from multiple heterogeneous channels, including text work orders from government service hotlines, structured alarm data reported by IoT devices, video stream summaries captured by urban surveillance cameras, and information reported by citizens via mobile applications containing geographic location, images, and text descriptions; performing spatiotemporal and semantic multidimensional association aggregation on the original event reports to generate a structured unified event object; analyzing the unified event object and outputting an event analysis report to obtain the actual resource status at the current moment; based on the event analysis report and the actual resource status, generating a resource scheduling scheme through multi-objective optimization and executing the resource scheduling scheme. This method aims to improve the efficiency and accuracy of managing urban governance events.

Embodiments of the application disclose a government hotline work order and public opinion correlation analysis method and related device, the method comprises the following steps: in response to the government hotline work order and public opinion correlation analysis request, obtain government hotline work order data and public opinion data; using a preset formatting rule, preprocessing the government hotline work order data and public opinion data, obtaining the format unified government hotline work order information and public opinion information; the entity extraction is carried out to government hotline work order information and public opinion information respectively, and the corresponding government hotline work order entity and public opinion entity are obtained; according to the government hotline work order entity and public opinion entity, the government hotline work order-public opinion data pair meeting the preset correlation rule is screened; based on the core event similarity of the government hotline work order-public opinion data pair, the government hotline work order and public opinion correlation analysis result is generated. The scheme solves the problem that the government hotline work order and public opinion cannot be accurately correlated in real time due to data heterogeneity and inconsistent information density.

This invention belongs to the field of automatic control technology and discloses an intelligent monitoring and early warning system for hot wire dry burning status based on multi-parameter fusion. It adopts a hardware-level synchronous acquisition architecture, constructing an integrated hardware acquisition system encompassing acquisition, self-diagnosis, and adaptive adjustment. It synchronously acquires multi-source heterogeneous parameters strongly correlated with hot wire dry burning, and eliminates timing deviations in acquisition from different sensors through high-precision synchronization technology. The system adapts to real-time operating conditions through dynamic normalization processing, combines wavelet threshold denoising algorithms with adaptive threshold judgment to eliminate various interference signals, automatically verifies the validity of preprocessing results, and unifies multi-source data standards. A three-level state recognition space is constructed, refining the hot wire operating state and dividing it into corresponding sub-states. An adaptive fuzzy membership function is optimized by introducing an operating condition correction factor, and parameter conflict issues are adaptively handled using an improved D-S evidence combination rule.

This invention relates to a method for bandwidth evaluation of a constant-temperature hot-wire anemometer based on in-situ open-loop frequency characteristics, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the hot wire voltage. w By comparing the amplitude ratio and phase difference of the two, the frequency characteristic G is obtained. * gain (jω); S3. Based on the frequency characteristic G * gain The amplitude-frequency response curve of (jω) is used to determine the corner frequency f when its gain drops to -3dB below the DC gain. * c With this transition frequency f * c This invention serves as an estimate of the bandwidth of the constant-temperature hot-wire anemometer. It enables direct measurement and evaluation of the dynamic performance of the constant-temperature hot-wire anemometer in the frequency domain, allowing testing to be completed without changing the bias voltage and DC operating point. This accurately and conveniently reflects the system bandwidth of the hot wire under actual operating conditions.

A method of controlling a hot wire anemometer (HWA) of a non-nicotine e-vaping device includes controlling, by a first PID controller, a level of power applied by the non-nicotine e-vaping device to the HWA based on a temperature of a heated element of the HWA and a temperature setpoint; generating a puff detection signal indicating whether or not a puff is currently occurring with respect to the non-nicotine e-vaping device; and while the puff detection signal indicates that a puff is not currently occurring with respect to the non-nicotine e-vaping device, detecting, by a second PID controller, a change in an ambient temperature of the HWA, and controlling, by the second PID controller, the temperature setpoint such that the temperature setpoint changes in response to the detected change in the ambient temperature of the HWA.

The application provides a government hotline satisfaction prediction method and system based on multi-source feature vector fusion, and relates to the technical field of government hotline intelligent analysis, which comprises the following steps: collecting government hotline business data and performing preprocessing to output standardized government hotline business data set; extracting direct business feature vector, constructing hotline field new word library based on hotline unlabeled corpus and performing field self-adaption pre-training on language model; performing improved emotion extraction on appeal text to output emotion feature vector; performing text feature quantization and syntax structure analysis on appeal text to output text feature vector, fusing direct business feature vector, emotion feature vector and text feature vector to output satisfaction prediction feature vector and input into gradient boosting decision tree model, and outputting work order satisfaction prediction result, risk level, recommended revisit mode and key influence factor explanation, so as to improve the accuracy, stability and explainability of emotion recognition and satisfaction prediction in the government hotline scene.

This invention provides an intelligent structured processing and classification analysis system for grassroots governance events, including: a data access module configured to connect to grid worker mobile reporting, government service hotline feedback, and monitoring and early warning channels through a multi-source heterogeneous data adaptation interface, collecting raw text data of grassroots governance events from multiple sources. This invention utilizes a core mechanism of collaborative parsing using a large language model and regular expressions, combining the semantic understanding capabilities of the large language model for colloquial and fragmented text with the efficient and accurate characteristics of regular expression matching, thus solving the problems of high inference costs and large response delays associated with single large language model solutions. Simultaneously, it introduces a dedicated dictionary for grassroots governance to automatically correct typos and complete non-standard expressions, mapping dialects, slang, and non-standard time and location formats to standard field values, improving the completeness of structured conversion and data standardization.

The application discloses a kind of based on voice collection threshold adjustment's trainer interphone control method, carries out interphone control using a kind of based on voice collection threshold adjustment's trainer interphone control system, and a kind of based on voice collection threshold adjustment's trainer interphone control system includes the interphone connector for processing the interlink signal in aircraft, bus and two control boxes, wherein the interphone connector is connected with two control boxes by bus, one of control boxes is installed in the front cabin of trainer, another control box is installed in the rear cabin of trainer, and earphone, microphone and knob switch are provided on each control box;Interphone connector is provided with interphone internal volume amplification adjustment circuit, voice collection circuit and trigger threshold adjustment circuit respectively connected with knob switch;The application adopts voice collection threshold adjustment's interphone control in aircraft, and it is easy to operate and use, effectively improves flight safety factor.

The application provides a method for improving the response efficiency of a government service convenience hotline through semantic understanding technology, comprising: according to a preliminary audio sequence, using a localized dialect acoustic feature matching technology for dialect classification, combining a context feature extraction method to transcribe the audio into preliminary text content, and through sentence normalization processing, determining an initial text representation; obtaining the initial text representation, aiming at the redundancy characteristics of local colloquial expressions, through a method of removing irrelevant noise words and adjusting sentence structure, combining a keyword filling technology, generating purified text content; through an enhanced semantic vector, using a vector distance calculation method and a matching threshold setting standard to compare a pre-established intent library, combining multi-dimensional semantic verification rules and label priority sorting logic, determining a core intent label.

This application provides a method for constructing a knowledge base for a government service hotline based on large model technology, comprising: for the semantic vector representation, using an LSTM network to perform temporal modeling on a multi-turn dialogue sequence, and determining contextual dependencies by fusing vector associations between previous and subsequent turns; selecting high-priority fragment expression regions and merging them with the overall semantic vector through the integrated priority list, and using an attention mechanism to weightedly fuse the region vectors to determine the completeness of intent recognition; if the completeness of intent recognition is insufficient, generating a supplementary query template, and matching relevant templates from a preset follow-up question guidance library to obtain follow-up questions for missing information; for the updated structured demand representation, mapping it to a government service classification model, and determining the final service assignment path by comparing the similarity between the demand representation and the service conditions.