95 results about "Effective response" patented technology

The invention relates to the technical field of automatic debugging, in particular to a digital twinning-based chip fixture debugging system, which comprises a state sensing fusion module, a positioning correction judgment module, a contact adjustment execution module, a closed-loop feedback correction module and a data linkage optimization module. According to the method, through time axis synchronous matching of multiple types of sensing data, extraction of position offset and pressure sudden change intersection features, enhancement of direction identification and dynamic precision, angle direction trend quantification through included angle interval analysis, improvement of spatial positioning continuity, and guarantee of effective response of an adjustment window through driving rate difference comparison, the accuracy of the adjustment window is improved, and the accuracy of the adjustment window is improved. Stretching and deformation data backtracking are introduced to improve the path correction capability, a virtual and real link is constructed in combination with a node log and a delay identifier, the consistency of simulation and actual behaviors is constrained, the overall debugging process is optimized through data linkage and time sequence control collaboratively, and higher response timeliness, posture recognition precision and data fusion stability are achieved.

The invention discloses a flexible control method and system for a bidirectional charging pile, and the method comprises the steps: collecting a physical port voltage and a loop current, calculating a voltage compensation amount through combining with an impedance compensation parameter, and generating a virtual feedback voltage for a voltage control loop; according to the working mode (charging / discharging) of the charging pile and the comparison result of the physical port voltage and the corresponding cut-off voltage threshold value, whether the system is in a safe area or a touch boundary is judged. In the safe area, the first type of correction is adopted to maintain the positive response characteristic; and when the boundary is touched, the second type of correction is adopted to limit the output and ensure that the port voltage does not exceed the preset threshold range. The method is used for improving the stability of the effective response duration and the adjustment precision when the bidirectional charging pile participates in the high-frequency power grid auxiliary service.

The invention relates to the technical field of power generation, and discloses a wind turbine generator fault early warning method and system based on multi-model combination, and the early warning method comprises the steps: 1, data collection; step 2, establishing an early warning model; 3, real-time monitoring and early warning are carried out; step 4, analyzing a fault source; step 5, estimating fault existence time; and step 6, fault subsequent condition prediction. According to a fault source analysis result, historical fault data and current operation data are combined through the system, the fault existence time is estimated, the prediction model is utilized, the system can not only predict the fault expansion speed, but also predict the influence degree of the fault on the unit performance, and therefore a more effective coping strategy is formulated, and the unit performance is improved. The beneficial effects of early warning the fault of the wind turbine generator and analyzing the fault source are achieved.

The invention particularly relates to a slope safety monitoring and acquisition system based on big data of the Internet of Things, and the system comprises the following parts: a multi-modal sensing module which is used for arranging sensors on a slope to collect all parameter data of the slope; the edge calculation module is used for analyzing various parameter data of the side slope to obtain a side slope evaluation value, and carrying out risk grading on the safety of the side slope according to the side slope evaluation value; and a cloud service module. According to the invention, the edge calculation module carries out deep analysis on data collected by the multi-modal sensing module, obtains a slope evaluation value through a series of scientific calculation methods, and carries out risk grading; abnormal conditions of various parameters can be comprehensively considered, and the safety condition of the slope can be accurately evaluated; the early warning module adopts early warning measures with different intensities and modes according to different risk levels, daily monitoring reminding of first-level risks is changed into emergency linkage emergency response of third-level risks, and it is ensured that related personnel can be timely notified under different risk levels and effective response measures are adopted.

The invention provides an outdoor monitoring method, system and application based on a smart watch, and the method comprises the steps: obtaining the information of an outdoor region through the smart watch, and determining a weather hidden danger item and a geographical hidden danger item; physiological monitoring items are determined, and whether the user is suitable for accessing the outdoor area currently is judged; if yes, corresponding countermeasures are configured in advance; after arriving at the area, continuously monitoring and summarizing to the smart watch; analyzing whether the physiological monitoring item is abnormal, whether the user encounters a weather hidden danger item and whether the user encounters a geographical hidden danger item; and if any one item is yes, taking corresponding countermeasures. Multi-dimensional information fusion is completed through the smart watch, the weather and geographic information are integrated to determine the potential weather hidden danger item and the geographic hidden danger item, the outdoor environment and the personal physical condition can be comprehensively monitored in real time, effective countermeasures are provided, and the outdoor safety of a user is better guaranteed.

The invention provides a method and a system for preloading cache data of a computer hard disk, which are applied to the technical field of hard disk caching, and are used for comprehensively considering current operation event information of a user in an application program window, window focus switching information of a system level, long-term historical behavior habits and instantaneous resource load conditions of the system. According to the method, the preloading data list is dynamically and intelligently generated to determine which data is preloaded and when preloading is carried out, so that dynamic changes of user behaviors and instantaneous fluctuations of system resources are more effectively coped with, and the accuracy and efficiency of preloading are improved. Therefore, the method provided by the invention has the advantages of improving the accuracy and efficiency of preloading, reducing resource waste and improving the user experience.

The invention discloses a load aggregator response performance evaluation method and a power market clearing method and device, and relates to the technical field of power. The load aggregator response performance evaluation method comprises the following steps: after one-time demand response is completed, determining the actual response capacity of the current demand response, and determining the effective response capacity of the load aggregator for the current demand response in combination with the bid-winning response capacity corresponding to the current demand response; and determining a deviation factor of the demand response so as to determine the single response accuracy of the load aggregator for the demand response and the overall response accuracy of the load aggregator. According to the method, the single response accuracy of each demand response of the load aggregator is obtained, the overall response accuracy of the load aggregator is obtained by using the single response accuracy data of the load aggregator, and the overall response accuracy can be used as an influence factor of clearing and bid winning of the power market. Therefore, the power market clearing reliability and the power grid stability are improved.

The invention discloses a multi-dimensional environmental data storage management method and system based on geospatial intelligence, and relates to the technical field of geospatial intelligence, and the method comprises the steps: selecting data collection equipment, building a data collection network, and obtaining multi-dimensional environmental data; performing data preprocessing on the multi-dimensional environment data; a storage medium is selected to store the preprocessed multi-dimensional environment data into a database, and data partitioning and indexing are carried out; performing spatial analysis, time sequence analysis and multi-dimensional analysis on the acquired data; and selecting a visual tool to manage the system, wherein the management comprises management of a system user, management of multi-dimensional environment data and monitoring of a running state of the system. According to the invention, the environmental conditions of different areas are accurately evaluated, and accurate data support is provided for environmental monitoring and management; timely and effective measures are taken to reduce disaster loss; a scientific basis is provided for urban planning, and rich data resources are provided for researchers.

The invention relates to the technical field of power system resource coordination control, and provides a novel power system flexible resource coordination control method and system, and the method comprises the steps: enabling an energy storage system, a demand response system and a thermal power generating unit to serve as resources, collecting new energy output data, load data and resource state data, setting a short time window, a medium time window and a long time window, calculating system net load fluctuation and fluctuation components, and determining an initial control instruction of resources; calculating a response adaptation degree and an effective response capability; and calculating an adjustment weight, setting a target resource, calculating overflow power, calculating a demand response control instruction, realizing overflow distribution until power balance, and realizing resource coordination control. According to the invention, the coordination effect of different types of flexible resources can be improved.

The invention relates to the technical field of artificial intelligence, and particularly discloses an interactive intelligent content generation method and system based on AIGC. The method comprises the steps that a user editing instruction is collected and analyzed to obtain a first semantic body, and meanwhile a target change vector is extracted; performing connectivity analysis on the high-response pixel points to determine a candidate linkage area; obtaining a candidate linkage area, judging whether a physical shielding or self-shielding effect exists or not, and screening an effective response area; performing attenuation correction on the target change vector, and deriving a collaborative mapping parameter; and constructing a light and shadow guide matrix based on the collaborative mapping parameters, and performing directional guide processing on the effective response area. The system comprises an intention analysis module, a communication analysis module, a region screening module, an attenuation correction module and a synchronous rendering module. According to the invention, synchronous rendering of semantic subject change and ambient light and shadow effects can be realized.

The invention relates to the technical field of touch screen testing, and discloses a vehicle-mounted touch screen click testing device, which comprises a touch screen probe testing machine, a testing box, a three-axis linear sliding table module, an industrial camera and a display screen, and is characterized in that whether a touch point triggers an effective response or not and the response sensitivity are recorded by clicking and contacting a plurality of positions of a vehicle-mounted touch screen for a plurality of times; the placement positioning module comprises two groups of detection seats, two groups of connecting springs and two groups of placement plates, a non-locking placement environment is formed for the fixed touch screen, the touch screen on the placement plates is subjected to elastic force fluctuation of the connecting springs after vertical shifting, and click use in a bumpy driving environment of a vehicle is simulated; through the click action of the synchronous click probe, the click touch of an automobile bumpy driving scene is synchronously simulated in the click test process, and different click coverage area size adjustment and click touch force intensity change are matched, so that the click touch response sensitivity of the vehicle-mounted touch screen is comprehensively tested.

The invention relates to the technical field of enterprise risk management, in particular to an Al-driven enterprise risk management system and method, and the system comprises a responsibility weight analysis module, a behavior conflict recognition module, a path filtering generation module, a sequence priority sorting module and a risk path display module. According to the invention, by quantifying the intervention density of the responsibility subject in different stages, hierarchical refinement of responsibility division is realized, the dynamic adaptation capability of responsibility orientation is enhanced, a rejection relationship is constructed by using a behavior direction opposition and time overlapping detection mechanism, the accuracy of behavior conflict identification is improved, and a path is dynamically recombined in combination with the responsibility level and the rejection structure. According to the method, path behavior consistency and conflict controllability are ensured, priority ranking is carried out by fusing conflict intensity, objectivity of path evaluation is enhanced, a graph structure containing responsibility levels and trend flow directions is constructed, responsibility identification precision of enterprises is effectively improved, readability of enterprise risk information is improved, and effective response to enterprise risks is ensured.

The invention relates to the technical field of decision optimization, in particular to an artificial intelligence decision optimization method and system based on data analysis, and the method comprises the following steps: based on feature point time sequence distribution, discriminating data fluctuation and abnormal conditions, calculating correlation and determining integrity, screening high-confidence data, and fusing trend synchronization features; and screening stable batch data, matching fusion features and parameter groups, and outputting an optimal decision result. According to the method, the time sequence fluctuation and the abnormal sequence of the collected data are deeply identified, multi-layer screening is carried out through the confidence level and the trend consistency, the stability and the availability of data features are improved, the trend synchronization features are efficiently integrated through a fusion operation mechanism, the collection continuity and the abnormal performance are integrated through data batch screening, and the accuracy of data collection is improved. And subsequent parameter structures are ensured to be finer, the structural relationship of decision parameters is refined by the grouping and merging method, and effective response can be made in time aiming at the uncertainty of decision paths.

The invention relates to an intelligent early-warning flexible fireproof power cable applied to the field of fireproof cables, which comprises a sheath, a filling layer arranged on the inner side of the sheath and a flame-retardant layer arranged on the inner side of the filling layer, and a plurality of external temperature sensing assemblies are fixedly connected between the sheath and the filling layer. A plurality of inner temperature sensing assemblies are fixedly connected between the filling layer and the flame-retardant layer, through cooperation of the outer temperature sensing assemblies, the inner temperature sensing assemblies and an intelligent early warning system, the monitoring effect on the whole application environment of the cable body can be effectively achieved, different triggering states of inner and outer temperature sensing data are utilized, abnormal signal transmission is timely and effective, and the cable is protected. According to the invention, the method can effectively achieve the intelligent grading early warning function while reducing the early warning false alarm rate and promoting the accuracy and reliability of abnormal early warning, assists maintenance personnel in judging abnormal causes, and promotes the subsequent maintenance personnel to make timely and effective response measures for abnormal early warning, thereby guaranteeing the safety and stability of the continuous application of the cable body.

The invention discloses a method for realizing precise sintering temperature control in combination with a PID regulation and control system, and relates to the technical field of sintering processing, and the method comprises the following steps: S1, obtaining historical regulation and control data of a heating unit under a current operation condition, extracting a minimum effective response difference value between current input and temperature output, and generating a response identification threshold reference; and S2, based on the response identification threshold reference, performing amplitude evaluation on the real-time regulation and control signal output by the proportional-integral-differential controller, and when the amplitude of the regulation and control signal is lower than the response identification threshold reference for multiple times continuously and the temperature change is not caused, identifying as a dead zone response abnormal section. According to the invention, through response identification threshold value, dead zone and saturation identification, parameter self-adaptive correction and simulation feedback adjustment, the identification and response capability of the temperature control system to an abnormal state is enhanced, accurate output and dynamic optimization of a regulation and control signal are realized, the stability, precision and consistency of temperature control in a sintering process are obviously improved, and the yield and the process reliability are improved.

A portable emergency response kit designed for rapid intervention in opioid overdose or cardiac arrest scenarios comprises a durable case with compartments for specific medical devices, such as opioid overdose treatment medication or an Automated External Defibrillator (AED). The case features a breakable closed circuit that is, upon opening, triggered to send a signal to notify emergency medical services (EMS) or predefined contacts of the kit's location.The system utilizes GPS module and may include dual-mode communication capabilities for reliable alert transmission in various environments. Additional features may include a transparent case material for visual confirmation of contents, tamper-evident seals, QR codes linked to instructional content, and a battery power source. The kit is designed to be user-friendly, incorporating ergonomic elements and optional accessories for enhanced portability and storage, ensuring rapid and effective response in critical situations.

Systems and methods in accordance with the present disclosure can include one or more machine learning models configured to generate real-time, intraoperative predictions of events of a subject during a procedure being performed on the subject. The machine learning models can be used to predict events during targeted forecast windows to allow for effective response to the events. The machine learning models can be trained to operate in multi-model voting (MMV) architectures. The machine learning models can be trained using features or signals selected to provide high predictive accuracy for a given condition. The machine learning models can be trained to have various forecast windows, including various predetermined and / or adjustable forecast windows, to provide for more effective guidance on onset and response to the events.

The application relates to the technical field of intelligent analysis, and discloses a full-voltage-grade transformer substation power supply capacity intelligent analysis method and system, computer equipment and a storage medium, which can realize intelligent and automatic analysis of the transformer substation power supply capacity, save time and labor, improve overall efficiency, are not interfered by human factors, reduce errors, and even avoid errors, the accuracy of analysis results is effectively guaranteed, and the high real-time characteristic can help power supply management departments timely capture the change of the power grid state and make effective responses, so that the high-standard requirements of modern power grid management on efficiency and accuracy can be met.

The invention belongs to the technical field of physiological state detection, and discloses a multi-mode biological signal acquisition and state recognition system and method. Comprising the following steps: collecting multi-modal biological signal data of a subject and cleaning the data to obtain an original signal data set; carrying out pseudo signal section identification, outputting abnormal fragments, and removing the abnormal fragments to obtain an effective response data set; signal tracking is carried out, a signal discrimination result is output, drift correction is carried out based on the signal discrimination result, and a drift correction data set is output; executing trend completion to obtain a complete feature data set; state judgment reasoning is carried out, modal information weights are output for marking, and a modal marking data set is obtained; performing abnormal label correction to obtain a corrected state recognition sequence; constructing a biological signal recognition strategy based on the corrected state recognition sequence and sending the biological signal recognition strategy to a preset data receiving end; and the accuracy and robustness of multi-modal biological signal acquisition and state recognition are improved.

The invention discloses an enterprise bidding document making auxiliary method, which relates to the field of document management, and comprises the following steps of: respectively generating a bidding clause set and a candidate response paragraph set by acquiring bidding documents and bidding document drafts, and further generating a clause response constraint establishment table; and correspondingly executing chapter establishment check, paragraph establishment check, description establishment check and closure establishment check on each bid inviting term, so that the one-by-one binding relationship between the bid inviting terms and the bid response can be established in advance before the bid document enters the formal arrangement; according to the method, each bid invitation clause clearly corresponds to the response chapter, the response paragraph and the response description, so that the problems that the clause response relationship in the existing bidding file is fuzzy and the written content is difficult to prove as effective response content are effectively solved, and the definition and the stability of the basic establishment relationship between the bid invitation clause and the bidding response are improved.

The invention discloses a scene coverage rate calculation method and system for a leakage monitoring system, and relates to the technical field of gas leakage monitoring, and the method comprises the steps: building a scene set comprising a plurality of different leakage scenes; determining a coverage area boundary, an alarm threshold value and effective response time of the leakage monitoring system; determining a data monitoring area in the geometric grid model according to the coverage area boundary of the leakage monitoring system; the gas cloud space-time concentration of the leakage scene is calculated in the data monitoring area, and whether the leakage scene is found and responded by the leakage monitoring system or not is judged; calculating the scene coverage rate of the leakage monitoring system according to the number of the leakage scenes which can be found and responded by the leakage monitoring system in the scene set; according to the scheme, the leakage points and the gas migration process thereof are comprehensively considered, compared with a geographical coverage rate evaluation method, the evaluation result is more scientific and reasonable, and the method has more reference value for subsequent further optimization of the positions and the number of detectors of the system.

The present application relates to the technical field of three-dimensional image data processing, and particularly relates to a preoperative auxiliary planning MRI image laryngeal tumor three-dimensional reconstruction system. For each voxel point in the initial three-dimensional model of the larynx, the system constructs a preoperative three-dimensional laryngeal image result through tissue image features. In the intraoperative stage, the expected tissue change characteristics are obtained according to the information of the instrument coordinate trajectory in the three-dimensional laryngeal image structure, and compared with the actual tissue change characteristics embodied by the power feedback data sequence of the electrocautery, so as to determine the abnormal type of the tissue under the coordinate trajectory, and update the labeling in the initial three-dimensional model. The present application can effectively identify the abnormal type of the detailed tissue feature area by comparing the expected tissue change characteristics with the actual tissue change characteristics, and then update and render the three-dimensional model in real time through the labeling method, so as to realize the effective response of the intraoperative characteristics.

The invention discloses an aircraft control surface automatic detection method and system based on virtual instrument and matrix switching, and relates to the technical field of steering engine detection. The aircraft control surface automatic detection method and system based on virtual instrument and matrix switching comprises the following steps: S1, obtaining control surface actuator response data, and preprocessing the control surface actuator response data; s2, a relay is driven to realize channel switching, the stability degree of the relay before and after switching is evaluated, and a stable sampling period is screened; s3, identifying an effective response starting point and a response ending point of each channel, calculating each component index in a response section, and constructing a response feature vector of the control surface actuator; and S4, evaluating the deviation degree between the current response behavior and the ideal state, identifying an abnormal response state, generating a channel-level response behavior tag, and summarizing to form a classification result. The problem that the initial section of a displacement response curve is misjudged due to the fact that transient kick caused by relay switching is not isolated by a time window is solved.

The application discloses a sewage pool temperature self-adaptive control method and system and a medium, and belongs to the technical field of advanced process control, and comprises the following steps: collecting sewage pool basic data, forming a basic fluctuation amount, and obtaining a response delay time; determining an effective response window; generating a sample admission result; calculating and updating a temperature response coefficient in a corresponding direction; generating and issuing next-period temperature regulation execution parameters and next-period mixing execution parameters. The application generates a sample admission result in the effective response window, and only updates the temperature response coefficient according to the admitted sample, so that the accurate identification of the real temperature response change caused by the heat exchange action, the reliable update of the temperature response coefficient and the stable generation of the next-period control action are achieved, and the problems that the sewage pool temperature change is not clearly attributed in the prior art, the subsequent control parameters are incorrectly corrected, and the temperature regulation is delayed or the energy consumption is abnormally increased are solved.

The application relates to the technical field of game transaction management, and discloses a game user abnormal transaction behavior identification method and system, which comprises the following steps: S1, acquiring the transaction, in-game behavior, social relationship data and multi-modal data of the device environment of a user, and constructing a personalized behavior baseline based on user historical data to generate a user normal behavior sequence; S2, regarding the user as a graph node, regarding the transaction, behavior, social relationship and device correlation as edges, constructing a dynamic transaction relationship graph, and analyzing the updated transaction relationship graph according to the edge weight calculation result. Through the utilization of a dynamic transaction construction module, the combination of a reinforcement learning strategy module, the real-time feedback of a game environment, the dynamic adjustment of a detection strategy and model parameters, the effective response to changes such as the adjustment of an in-game economic system and the emergence of new transaction modes, the continuous maintenance of the efficient identification ability of abnormal transaction behaviors and the overcoming of the poor adaptability of traditional static models.

This invention discloses a resource aggregation optimization method, apparatus, and storage medium for power demand response. The method includes: constructing an initial objective function for a demand response aggregation optimization model and setting physical constraints for the initial objective function; acquiring invited capacity data, actual response capacity data, and deviation data from users and load aggregators, respectively, and inputting them into an effective response tier processing model to calculate the effective response capacity with different deviation relationships and establish corresponding tiers; outputting the corresponding effective response capacity tiers for users and load aggregators; setting tier state variables and tier intermediate variables for each tier, and setting corresponding logical constraints; updating the objective function of the demand response aggregation optimization model; inputting the updated objective function into the demand response aggregation optimization model; outputting decision result data; and obtaining a resource aggregation optimization application scheme for load aggregators to conduct scheduling transactions under the day-ahead invitation mode.

The application discloses a gateway configuration method, device, equipment and medium. The method alternately sends a 645 protocol reading meter number request frame and a DLMS protocol link establishment request frame to a downstream terminal, determines a target communication protocol based on a frame header feature of a first effective response frame, extracts a corresponding main feature field to generate a candidate identification result, and can distinguish between two operation modes of a direct connection mode and a transfer mode of a user interface unit of an electric energy meter. For a result indicated by the main feature field of the user interface unit, secondary verification is performed by checking a meter number semantic of a response frame data area. For a result indicated by the direct connection mode, secondary verification is performed by checking an electric meter serial number format. Combined with confidence degree calculation and a limited retry mechanism, automatic correction of feature conflicts is realized, and the anti-interference capability is improved. Meanwhile, relying on a preset configuration parameter mapping relationship table, an identification result is directly converted into a gateway communication configuration, and the deployment efficiency and operation continuity of a power data acquisition system are improved.

Disclosed in the present specification are a composite material and a fire suppression device, which can be applied to a product or element in an abnormal state or having the potential to enter an abnormal state, enabling effective response to the abnormal state. For example, the composite material and the like may be applied to an article comprising a plurality of such products or elements, to respond to abnormal heat generation, explosion, or ignition occurring in any one of the products or elements, and prevent or minimize the propagation of such heat generation, explosion, or ignition to adjacent products or elements. The composite material and the like also exhibit excellent handling characteristics and storage stability. The present specification may also provide uses of the composite material and the like.

The question-and-answer conversation processing method, question-and-answer system, electronic device and storage medium provided in the embodiments of the present application call a first question-and-answer process and send a question-and-answer request of the first question-and-answer process to a terminal; receive the current question-and-answer reply of the terminal, and when the current question-and-answer reply does not match the question-and-answer language of the pre-stored first question-and-answer process, call a second question-and-answer process that matches the current question-and-answer reply in the question-and-answer conversation knowledge base; determine the question-and-answer language that matches the current question-and-answer reply in the second question-and-answer process, and send the question-and-answer language to the terminal, thereby providing the question-and-answer system with a more effective question-and-answer conversation processing method and processing process, which can switch between different question-and-answer processes according to the various messages replied by the user, effectively solving the problem of the inability to effectively respond to any message initiated by the user due to the use of a single question-and-answer process in the prior art.

The invention provides a UI tree acquisition method and device, electronic equipment and a storage medium. The method comprises the steps that a UI component set in a current interface is obtained, attribute information of all UI components is extracted to generate an initial UI tree, initial UI tree nodes are in one-to-one correspondence with the UI components, and the attribute information at least comprises component names, area information and hierarchical relations; performing father-child node area cutting processing on the initial UI tree layer by layer to determine an effective response area of each node of the initial UI tree; and generating a cut target UI tree based on the effective response area. By directly acquiring the UI data, the limitation of image recognition is avoided, and the data acquisition efficiency is improved; according to the method, the effective response area of the UI component is dynamically adjusted through the hierarchical cutting algorithm, the accurate UI tree is generated, the problem that the response area of the nested UI element is overlapped is solved, reliable data support is provided for the UI test, and the test coverage rate and accuracy are remarkably improved.