118 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 blockchain-based intelligent tracing and risk early warning system for medicine supply data, and relates to the technical field of data processing, and the system comprises the steps: carrying out the circulation node extraction of a medicine supply chain, and obtaining a plurality of medicine supply participants; performing distributed block deployment to obtain a medicine supply block chain; acquiring a medicine database, and acquiring a medicine supply data set; performing classification identification and mapping encryption, and uploading to the medicine supply block chain to obtain a block chain distributed account book; obtaining an access smart contract, and obtaining target drug supply data; and performing risk response early warning on the target drug based on the target drug supply data. The technical problems that in the prior art, traditional Chinese medicine supply data tracing is difficult and inaccurate, and potential risks of medicine supply are difficult to find and accurately evaluate in advance are solved, and the technical effects that accurate and rapid tracing of target medicine supply data is achieved, the potential supply risks are found in time, and effective response and early warning are carried out are achieved.

The invention discloses an industrial internet security situation assessment system based on deep learning, and relates to the technical field of industrial internet security, which comprises a data acquisition module, a data preprocessing module, a feature extraction module, a deep learning model training module and a data storage module, the system has the advantages that the deep learning model training module adopts a combined architecture and an optimization algorithm to train an accurate model, the real-time monitoring module monitors real-time data in the industrial internet according to received data, abnormal conditions are found in time, and the real-time monitoring module monitors the real-time data in the industrial internet according to the real-time data. The method comprises the following steps of: acquiring the security situation value data of the current industrial internet, transmitting the security situation value data of the current industrial internet to a situation awareness module, and performing deep quantitative evaluation and trend prediction by the situation awareness module by using a fuzzy logic and evidence theory fusion algorithm and integrating historical and real-time data to accurately calculate a comprehensive security situation value so as to calculate a more accurate comprehensive security situation value. And accurate judgment and timely and effective response to the security situation are ensured.

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 present invention discloses a network attack early warning and tracing method, system and device based on a knowledge graph of facts, obtains network attack records to build a knowledge graph layer; extracts event causal relationships from network attack records, forms attack links, and aggregates and generalizes events and causal relationships to build a graph layer of facts; maps generalized nodes in the attack link with knowledge graph layer entities to establish a network attack knowledge graph of facts; infers the attack means taken by the attacker, or predicts the attack means to be taken in the next step, thereby realizing the tracing and early warning of the attack behavior. The present invention combines the facts graph and knowledge graph technology, and through the construction of the facts graph layer and the knowledge graph layer, transforms the network attack link and the organizational information asset architecture into a reasoning graph that combines dynamic facts logic with static objective knowledge, and realizes the reasoning and prediction of the overall attack behavior based on a small amount of exposed attack traces, so as to support the rapid and effective response of network attacks.

The invention relates to the technical field of railway traffic transportation, in particular to a foreign matter invasion monitoring method, device and equipment, a storage medium and a program product, and the method comprises the steps: scanning a tunnel portal through laser radar equipment, and obtaining the real-time distance information of each detection point; obtaining abnormal detection points with differences based on the real-time distance information and the static distance information of each detection point; based on the abnormal detection point, acquiring edge distance data of the foreign matter; based on the edge distance data, obtaining a foreign matter type to which the foreign matter belongs and a risk of the foreign matter; and determining a processing strategy corresponding to the foreign matter based on the foreign matter type and danger. By comparing the real-time distance information and the static distance information of each detection point, an abnormal detection point can be found, so that whether foreign matter invasion exists at the tunnel portal can be accurately judged, the foreign matter invasion can be accurately monitored, a corresponding processing strategy can be automatically judged and selected, and the effective coping capacity under emergency conditions is improved.

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 embodiment of the invention discloses a service management system, a service management method, equipment and a storage medium. The service management system comprises a server, a plurality of pieces of equipment and a plurality of clients in communication connection with the plurality of pieces of equipment, the server is used for receiving the service execution request, determining a target client from a plurality of clients according to a target client identifier included in the service execution request, and forwarding the service execution request to the target client; and the target client is used for analyzing the business information contained in the business execution request, determining a target device corresponding to the business information from the plurality of devices, calling a target device driving service of the target device to generate a driving instruction of the target device, and driving the target device to respond to the business information through the driving instruction. The system is equivalent to a service interaction assisting system, the influence of differences existing in software and hardware environments on service interaction does not need to be paid attention to through the system, equipment executing service requests can be directly adapted through the system, and effective response to the issued service requests is guaranteed.

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 provides a product receiving value abnormity determination method and device and electronic equipment, and the method comprises the steps: obtaining a receiving value sequence of a target product, and the receiving value sequence comprises a plurality of production parameters continuously collected by the target product under the same product specification key point; identifying a plurality of production parameters in the received value sequence by using a received value judgment rule pre-bound with the target product so as to determine whether a continuous received value abnormal rule is triggered or not; and if the continuous value receiving abnormity rule is triggered, extracting a preset production parameter with value receiving abnormity in the value receiving sequence, and identifying an early warning interval in which the preset production parameter falls so as to trigger a target reaction mechanism corresponding to the early warning interval. According to the application, the continuous production parameters of the target product are monitored and the early warning mechanism is triggered, so that the product quality is monitored in time and effectively handled.

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 provides an indoor space information self-acquisition method based on microwave distance measurement, and the method comprises the steps: carrying out the microwave detection in an indoor space through a periodic frequency modulation radar; the related information of the indoor space can be automatically acquired, so that the effective response space of the periodic frequency modulation radar can be adaptively set based on the automatically acquired related information of the indoor space; therefore, professional requirements of installation of the periodic frequency modulation radar on operators can be reduced so as to reduce installation cost of the periodic frequency modulation radar, and the periodic frequency modulation radar can be free from manual debugging and debugging cost of the periodic frequency modulation radar.

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.

The invention relates to the technical field of behavior monitoring, in particular to a self-service cashier loss prevention behavior monitoring method and system, a medium and a product, and the method comprises the steps: obtaining a cashier desk image, carrying out the feature recognition of the cashier desk image, and judging whether the cashier desk image contains a preset abnormal identifier or not; when the cashier desk image contains a preset abnormal identifier, abnormal feature recognition is carried out on the cashier desk image to determine the abnormal type of the abnormal commodity, and the abnormal type comprises wrong scanning, scale missing and scanning missing; prompt information and lighting alarm information are determined based on the abnormal type, the prompt information is displayed on the operation interface, and the prompt information comprises correction scanning video or scanning guiding voice; and generating an inspection request instruction based on the prompt information and the lighting alarm information, and feeding back the inspection request instruction to the terminal equipment of the loss prevention personnel. According to the invention, abnormal behaviors existing in the self-service cashier process can be found in time, and timely and effective response can be realized.

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.

Disclosed in the embodiments of the present application are a service management system, a service management method, and a device and a storage medium. The service management system comprises a server, several devices, and several clients that establish communication connections with the devices, wherein the server is configured to receive a service execution request, determine a target client from among the clients on the basis of a target client identifier comprised in the service execution request, and forward the service execution request to the target client; and the target client is configured to parse service information included in the service execution request, determine from among the devices a target device corresponding to the service information, call a target device driving service of the target device to generate a driving instruction of the target device, and drive by means of the driving instruction the target device to respond to the service information. The system is equivalent to an assistance system for service interaction. By means of the system, it is not necessary to pay attention to the impact of differences present in software and hardware environments on service interaction, and a device executing a service request can be directly adapted by means of the system, thereby guaranteeing an effective response to an issued service request.

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 application discloses a kind of high-flux rock and ore sample multi-parameter analysis test methods for core library, it is related to rock and ore sample detection technical field;Method comprises: establishing rock and ore sample pre-detection benchmark data;According to the detection response stability of pre-detection benchmark data evaluation candidate test position, the position that meets test requirement is determined as effective test area, the position that does not meet test requirement is determined as evasive test area;Spectrum detection result, element detection result, magnetic detection result and physical property detection result are obtained in effective test area, and according to the detection window, sampling interval and effective response depth of each detection result, establish equivalent detection unit, calculate response coverage relationship;Determine detection reliability and review prompt.Through the application, the influence of sample surface state, contact condition and detection response scale difference on multi-parameter analysis result can be reduced, and the traceability, accuracy and reviewability of rock and ore sample batch detection of core library are improved.