35results about How to "Realize refined management" patented technology

The invention discloses a gene sequencing data management method for whole genome methylation sequencing, and relates to the technical field of gene sequencing data management.The method comprises the steps that original gene sequencing data are obtained and preprocessed, and a regional methylation matrix is generated; calculating a technical difference measure and a phenotype difference measure of each region unit based on the region methylation matrix and the sample metadata, identifying a technical methylation bias domain, and grading the technical methylation bias domain into a steady-state technical methylation bias domain and an event-driven technical methylation bias domain according to the occurrence frequency of the technical methylation bias domain in multiple batches; based on a linear adjacency relation and a co-bias relation, constructing a technical methylation bias super-domain and classifying the technical methylation bias super-domain; performing regional shielding on the methylation bias super-domain of the steady state technology, performing normalization correction on the methylation bias super-domain of the event-driven technology, and generating a corrected regional methylation matrix; calculating a sample quality index based on the corrected matrix and performing quality grading; according to the method, technical bias can be identified and corrected, and the methylation data quality and analysis reliability are improved.

The application provides a kind of shipboard aviation equipment composite material damage D-S evidence theory nondestructive evaluation method, belongs to the field of shipboard aviation equipment nondestructive evaluation, it includes the following steps: at time, the triaxial damage area characteristics and triaxial vibration frequency characteristics of the composite material structure of shipboard aviation equipment are synchronously acquired and stored;The triaxial damage area characteristics and triaxial vibration frequency characteristics at time are compared respectively, and the corresponding triaxial damage area change degree and triaxial vibration frequency change degree are obtained;The identification framework of D-S evidence theory is established, and the triaxial mass function of the composite material structure is calculated respectively;According to the created D-S damage judgment model, the classification judgment and early warning of the composite material damage of shipboard aviation equipment are carried out.The application can realize the real-time classification evaluation of the dynamic damage of the composite material component of shipboard aviation equipment, and provide data support for the condition-based maintenance of shipboard aviation equipment.

This invention discloses an automated settlement system for cross-regional power trading based on smart contracts. A feature recording module records multi-dimensional settlement characteristics of settlement data packets from power generation companies. A data preparation module, responding to the power generation company's need to send settlement data packets, generates a sending request based on the multi-dimensional settlement characteristics. A sending module processes the settlement data packets based on the sending request, encapsulating the access sequence number and key segment sequence number for synchronous transmission. A verification module verifies the settlement data packets, and the verified data packets are used to generate a trading contract through a contract trading module. Based on the trading contract, a transaction fund transfer instruction is generated. This invention automates the entire power trading settlement process, reconstructs the trust system for power trading settlement, and lays a solid foundation for building a new generation of transparent, intelligent, and efficient power market operation ecosystem.

The invention belongs to the technical field of electric vehicle charging, and particularly relates to an intelligent optimization method for standby power consumption of an electric vehicle charging system. In order to overcome the defect that the existing electric vehicle charging system cannot give consideration to reduction of standby power consumption and guarantee of user experience, the invention adopts the following technical scheme: the intelligent optimization method for the standby power consumption of the electric vehicle charging system comprises the following steps: establishing a multi-stage dormant state mechanism; through a data driving method, the optimal state granularity in the multi-stage dormant state is automatically determined, and a state conversion threshold value is dynamically adjusted; acquiring an environment state sensing feature vector; a standby power consumption optimization problem is converted into a sequence decision problem, the sequence decision problem is solved according to a multi-stage dormant state mechanism and an environment state sensing feature vector, and the sequence decision problem is to determine which state conversion action should be executed at what time. The method has the beneficial effect that the dynamic balance between the standby power consumption reduction and the instant response of the charging system is ensured.

This invention discloses a monitoring method for a friction pendulum seismic isolation bearing, comprising: an upper bearing plate; a lower bearing plate; a spherical cap slider disposed between the upper and lower bearing plates; PTFE friction plates disposed at the upper and lower ends of the spherical cap slider; and a sensing mechanism disposed between the lower bearing plate and the lower PTFE friction plate, or between the lower bearing plate and the lower PTFE friction plate and between the upper bearing plate and the upper PTFE friction plate. This invention has the following advantages and effects: by employing an external resistive sensing mechanism to form the sensing module of the entire friction pendulum seismic isolation bearing, it has comprehensive monitoring functions, can acquire data such as horizontal displacement and vertical pressure in real time, and can grasp the real-time displacement and compressive stress distribution of the spherical cap slider, thereby assessing the usage status of the friction pendulum seismic isolation bearing, providing dynamic monitoring support for structural safety, facilitating the determination of whether the spherical cap slider has slipped into a dangerous area, and thus achieving refined management of the structure.

The invention relates to the technical field of electric vehicles, and discloses a low-temperature slow charging control method for a pure electric vehicle, which comprises the following steps of: in response to a low-temperature slow charging starting signal, acquiring the current charge state and the current temperature of a battery by a battery management system; if the current charge state is lower than a preset charge threshold value and the current temperature is lower than a preset temperature threshold value, the battery management system sends a maximum allowable discharge power limit value to the vehicle control unit; and the vehicle control unit receives the maximum allowable discharge power limit value, and limits the initial operation power of the battery heating device based on the maximum allowable discharge power limit value, so that the power extracted from the battery by the battery heating device does not exceed the maximum allowable discharge power limit value. According to the invention, power flow among the vehicle control unit, the battery management system, the vehicle-mounted charger and the heater can be managed cooperatively, and over-current and over-discharge faults of the battery are strictly avoided while the low-temperature heating requirement is guaranteed.

The invention discloses a traffic data processing method and device, a storage medium, equipment and a program product, which are applied to scenes of traffic data processing, directional traffic free flow and the like. The method is applied to an end-side multi-network transmission unit in a multi-network transmission system, and comprises the following steps: when a directional traffic free function is started for a service application program, obtaining configuration information containing an IP address list and CID field division information from a multi-network transmission controller; respectively establishing a first QUIC tunnel and a second QUIC tunnel with a first gateway and a second gateway in the multi-network transmission gateway according to the configuration information and a service target of the service application program; obtaining traffic data of the service application program and carrying out traffic screening to distinguish directional traffic and non-directional traffic; the non-directional traffic is sent to the first gateway for proxy forwarding through the first QUIC tunnel, and the directional traffic is sent to the second gateway for proxy forwarding through the second QUIC tunnel, so that the problem of failure of a directional traffic flow-free function in a multi-network transmission system is solved.

The invention relates to the technical field of data analysis, can be applied to business system platforms of financial science and technology, medical treatment and health and the like, and discloses a dynamic bandwidth adjustment method, device and equipment based on bucket-level resources and a medium. Obtaining high-priority resource buckets and common resource buckets, collecting system resource states of the resource buckets, performing health degree analysis on the high-priority resource buckets and the common resource buckets, and generating health degree scores of the resource buckets; and performing weighted averaging on the health degree score of the high-priority resource bucket and the health degree score of the common resource bucket according to a preset weight to obtain a global health degree, and performing different dynamic bandwidth allocation and dynamic speed-limiting adjustment on the high-priority resource bucket and the common resource bucket according to the global health degree to obtain a target bandwidth adjustment result. According to the invention, the differentiation and adaptive management of the bandwidth can be realized according to the service importance and the load change.

The invention relates to the technical field of storage intelligent management systems, in particular to a cold chain storage intelligent management system based on the internet of things, which comprises an internet of things network constructed by a plurality of cold chain warehouses, and is characterized in that each cold chain warehouse is internally provided with a temperature adjusting device, an image acquisition device, a temperature acquisition device and a storage and transportation planning module; determining a circulation coefficient according to the space utilization rate of the corresponding cold chain warehouse, determining a to-be-circulated storage object list based on the circulation coefficient and the historical warehouse-out data, and responding to the to-be-circulated storage object list or the to-be-stored object list to obtain the to-be-delivered storage object list so as to match the cold chain warehouse. And a warehousing strategy is determined according to the number of the cold chain warehouses which can be matched. According to the invention, the technical problem that the storage environment of the stored objects is not matched with the actual demand due to the change of the storage environment of the stored objects and the space proportion caused by the fact that the warehouse-in and warehouse-out link of the goods is not comprehensively considered in the prior art is solved.

The application discloses a kind of methods for evaluating the water quality of pipe network in the water supply area of water supply plant, comprising determining water quality turbidity and bacterial count in monitoring period after water source switching, treatment process or treatment parameter adjustment of water supply plant;Inquire turbidity and bacterial count in monitoring control period before water source switching, treatment process or treatment parameter adjustment;Then calculate the average value of turbidity and bacterial count in monitoring period and control period, calculate turbidity-bacterial colony weighted value;Then according to formula, the water quality score in monitoring period and monitoring control period is determined respectively;Finally, according to the difference between the water quality score of monitoring period and monitoring control period, as the judgment basis for the effect of water plant process parameter adjustment, process improvement, water source switching, provide accurate basis for water plant process parameter optimization, fine management, process improvement status, etc., achieve the goal of water plant process management with pipe network water quality as target.

This invention discloses a heuristic dynamic memory weighting and recall reordering method, comprising six steps: initial impression value calculation, Ebbinghaus forgetting curve modeling, recall depth parameterization, multi-dimensional independent sorting, multi-dimensional result fusion, and recall-triggered impression value inversely proportional increment. This invention simulates the natural decay of memory through an 8-stage Ebbinghaus forgetting curve, achieves a recall-as-reinforcement effect through an inverse impression value increment mechanism, comprehensively considers semantic similarity, temporal freshness, and memory importance through multi-dimensional reordering, and flexibly adjusts the breadth and depth of recall through recall depth parameterization. This invention provides two forgetting curve implementation methods: discrete-stage lookup table method and continuous curve calculation method (including exponential decay type and power-law decay type), suitable for different application scenarios. This invention significantly improves the intelligence level and anthropomorphism of AI long-term memory systems, enabling AI to perform natural memory recall like humans.

The application discloses a kind of based on scheduling model's multi-source analysis method and system of interbasin water transfer project, establishes the multi-modal coordination of error compensation based on to come water and water demand prediction model, obtains come water and water demand forecast data using the prediction model;Determine the priority weight between water supply benefit and risk, and establish the large-scale complex interbasin water transfer model of water supply benefit maximization and risk coordination;According to the priority weight and forecast data using the water transfer model obtains optimal water transfer scheme;Collect historical water supply data, obtain current water supply rule prediction data based on bidirectional recurrent neural network, and construct water source model;Using the water source model obtains the water source composition of each water receiving area.The present application significantly improves the intelligent level and decision efficiency of interbasin water transfer project scheduling management.

The application belongs to the field of nuclear power plant operator training, and provides an operator ability evaluation method and system based on individual difference theory. The method comprises the following steps: obtaining deviation facts and automatically perfecting evaluation based on five elements; performing ability dimension classification and scoring to generate basic function ability graph; performing root cause analysis, combining individual difference theory and group and individual data, calculating ability characteristic dimension evaluation results, and generating ability characteristic dimension graph; and recommending improvement measures according to the two types of graphs and root causes. The application converts scattered deviation facts into standardized and visualized ability evaluation results, identifies weak items from the aspects of basic skills and individual ability characteristics, improves the objectivity of evaluation and the pertinence of improvement measures, and realizes the explicitness of operator ability, the standardization of evaluation, and the closed-loop management of improvement.

An intelligent power plant infrastructure settlement early warning system based on BIM + GIS and multi-source data fusion comprises a high-precision Internet of Things sensing settlement monitoring module, a BIM + GIS three-dimensional model construction module, a multi-source data fusion analysis module, a settlement early warning model construction module and a virtual simulation module. The method has the following beneficial effects: 1, comprehensive coverage monitoring: high-precision Internet of Things sensing settlement monitoring sensors are densely arranged at key parts of a power plant building and an underground pipeline, and a three-dimensional model of the power plant is constructed in combination with a BIM + GIS technology, so that comprehensive monitoring of settlement of the infrastructure of the power plant is realized, and a monitoring blind area is effectively avoided; 2, real-time accurate monitoring: data acquired by the sensor is analyzed in real time by using a computer algorithm, and the sampling frequency of the sensor is dynamically adjusted according to the importance and historical settlement conditions of different parts, so that the real-time performance and accuracy of settlement monitoring are improved;

This invention belongs to the field of information security and relates to a security monitoring device based on a VPX architecture. It includes: a main processing module for processing and computing business data; a bridge module electrically connected to the main processing module for expanding auxiliary peripherals; a management and control module electrically connected to both the main processing module and the bridge module for system status monitoring and management; a network communication module electrically connected to the bridge module for providing four gigabit Ethernet interfaces to enable data interaction between systems; and a first level conversion module electrically connected to both the management and control module and the main processing module. This invention achieves end-to-end autonomous control from computation and control to security, enabling the perception and management of device health status, significantly improving fault diagnosis efficiency and system maintainability. It can operate stably in harsh environments such as national defense and aerospace, significantly improving system reliability and lifespan.

This application relates to the field of automotive quality control technology, and in particular to a method and system for tracing and managing the quality data of automotive parts throughout their entire lifecycle. The method includes: first, acquiring the quality data of the parts throughout their entire lifecycle and identifying the corresponding lifecycle stages; then, retrieving a matching set of quality management rules from a preset strategy library and extracting core and auxiliary quality actions; next, traversing historical operation records to verify whether all core actions have been executed, calculating the execution ratio of auxiliary actions after achieving the target, and determining whether the stage completeness threshold has been reached; if the target is met, generating a stage migration instruction and a list of quality tasks for the next stage, executing the instruction to update the stage identifier, distributing tasks to the corresponding control nodes, and triggering subsequent data collection and verification. This application helps to achieve standardized and closed-loop control of quality data throughout the entire lifecycle, improving the efficiency and accuracy of quality traceability and control.

The application relates to the technical field of urban intelligent planning, and provides a community life circle identification method and device based on resident travel behaviors, which comprises the following steps: based on obtained preset regional grid data and built-up area range residential land data, extracting residential land grids and determining grid sharing indexes between the residential land grids; using a preset clustering algorithm to perform clustering analysis on the grid sharing indexes between the residential land grids, obtaining a plurality of life circle grid groups sharing activity distribution; for each life circle grid group, according to the number of life circle surface domains in the grid group and the distance between the surface domains, splitting the life circle grid group to obtain an initial community life circle; matching and fusing the initial community life circle with urban plots to obtain a final community life circle. The life circle boundary generated by the application is more in line with the actual activity space distribution characteristics of residents, and the spatial precision and dynamic adaptability of the life circle are improved.

This invention discloses a method for machining a plunger pump for a handheld high-impact cleaning machine, relating to the field of parts processing technology. The method includes the following steps: S1, quantifying and testing the unidirectional deformation of the plunger and cylinder during heat treatment and surface treatment processes, and establishing a correspondence table between the deformation of each process and the machining parameters; S2, based on the correspondence table, reserving compensation allowances matching the deformation of each process in the machining processes of the plunger's outer diameter and the cylinder's inner bore, completing the roughing, semi-finishing, and finishing of the plunger and cylinder. The proposed method for machining a plunger pump for a cleaning machine, by quantifying and testing the unidirectional deformation of each process and establishing a correspondence, can reserve precise compensation allowances for parts under different machining parameters, significantly improving the machining accuracy of the plunger and cylinder, reducing dimensional deviations caused by process deformation, reducing the generation of defective products, and further improving the stability and reliability of the product.

The invention relates to the technical field of data processing, in particular to an energy equipment health prediction and maintenance method and system based on multi-source data fusion. Comprising the following steps: extracting a short-term fluctuation component and a long-term trend component reflecting an equipment operation state; constructing a short-term abnormal index, and extracting a long-term degradation index; constructing an abnormal feature set based on the short-term abnormal index and the long-term degradation index, performing abnormal mode classification on the equipment operation state, performing weighted fusion on the short-term abnormal index and the long-term degradation index, and generating a comprehensive health score for judging the overall operation risk level of the energy equipment; and by comparing the comprehensive health score with a historical reference, when the deviation exceeds a preset threshold value, triggering an alarm signal and generating a corresponding maintenance suggestion basis. According to the invention, the problems of incomplete health assessment, inaccurate risk identification and lack of pertinence in maintenance decision of the energy equipment in the prior art are solved, and accurate prediction and intelligent maintenance of the health state of the energy equipment are realized.

This utility model discloses an ecological water filtration pond for aquatic ecological restoration, relating to the field of ecological restoration. The ecological water filtration pond comprises, from top to bottom, a coarse filtration layer, a fine filtration layer, a biofilm layer, an aeration layer, and a disinfection layer. The aeration layer contains an aeration device, and the disinfection layer contains an ultraviolet sterilization device. This utility model, by integrating multiple key functional layers, including a physical filtration layer, a biological treatment layer, an aeration and disinfection system, and a real-time water quality monitoring system, not only significantly improves water purification efficiency but also enhances system stability and adaptability, reducing long-term operation and maintenance costs. Furthermore, by introducing aquatic plants and biofilm technology, it further promotes the restoration of aquatic ecosystems and enhances biodiversity, providing a novel solution for aquatic ecological restoration that is both highly efficient, economical, and eco-friendly.

The invention is suitable for the technical field of digital certificate management, and particularly relates to a block chain digital certificate management method and system supporting a full life cycle and data security, and the method comprises the steps: receiving a creditor-debt relationship uploaded by a creditor or a debtor, recognizing a core attribute, and storing the core attribute; wherein the core attributes at least comprise a subject identifier, a debt amount, a performance period and a right obligation type; creating child nodes in one-to-one correspondence with the core attributes, collecting real-time values of the core attributes, writing the real-time values into the child nodes, determining data sources, creating father nodes in one-to-one correspondence with the data sources, mounting the child nodes into the father nodes, and generating the verification tree. According to the invention, by configuring the circulation restriction rule, the abuse and illegal transfer of the digital certificate can be prevented, the fine management of the digital certificate is realized, and the whole circulation process can be recorded, so that the full-life-cycle supervision of the digital certificate is realized, and the management efficiency of the digital certificate is greatly improved.

This invention discloses a method, apparatus, and device for detecting infant vital signs using millimeter waves. The method includes a visible light acquisition unit that acquires visible light image sequences of the crib surface area, a millimeter wave acquisition unit that simultaneously acquires millimeter wave echo data of the crib surface area, a target range determination module that combines a preset or calibrated crib surface area with the infant's body area detected by the visible light images to determine the target position range of the infant on the crib surface and map it to the millimeter wave detection range, and a dynamic gating module that controls the freezing, restoration, or restart of the millimeter wave vital sign detection process. Through the collaborative design of visible light-assisted and millimeter wave vital sign detection, based on a preset or calibrated crib surface area and combined with the infant's body area detection results, the target position range of the infant is mapped to the millimeter wave detection range. Vital sign signals are extracted based on the echo data of this target range, improving the targeting and effectiveness of millimeter wave vital sign detection.

The application discloses an IGBT module intelligent monitoring system integrated with a temperature sensor and relates to the technical field of power electronic equipment monitoring.The system comprises the following: an information acquisition unit, which comprises a detection loop formed by various sensors, acquires data, processes the data, generates a structured data set, and transmits the structured data set to a hot state evaluation unit; the unit predicts junction temperature trends, quantifies thermal margins, generates an evaluation report, and issues the evaluation report to a collaborative decision unit; the unit calculates optimal instructions and transmits the optimal instructions to a precise regulation and control unit; the latter executes regulation and control, records logs, acquires parameters, triggers protection, and feeds back corrections, thereby forming a closed-loop control; the application builds a multi-unit collaborative closed-loop control architecture, integrates multiple functions, realizes full-dimensional perception and fine management of IGBT modules, optimizes data processing and regulation and control logic, realizes efficient linkage of monitoring and regulation and control, predicts junction temperature changes, combines graded protection and dynamic correction, adapts to different working conditions, prolongs the service life, and improves the stability, reliability and operation efficiency of the system.

The invention discloses a sewage filtering device which comprises a sewage feeding pump, a heat exchanger communicated with the sewage feeding pump, and a filter arranged between the sewage feeding pump and the heat exchanger and used for filtering sewage entering the heat exchanger. According to the sewage filtering device, the filter is additionally arranged in front of the sewage feeding pump and the heat exchanger, so that the hydrocarbon substances and the solid content in sewage are reduced, the operation period of the sewage stripping tower is prolonged, and it is guaranteed that the COD of purified water is within the index range.

The invention provides a key management system based on continuous variable quantum key distribution and a group key distribution method. The key management system comprises a quantum key receiving service providing layer module, a quantum key application service layer module, a data management layer module and a routing calculation controller module. The quantum key receiving service providing layer module is set to receive a quantum key generated by a CVQKD terminal and execute a warehousing management process of the quantum key; the quantum key application service layer module is set to receive and authenticate a key application of a user side so as to trigger a key distribution process; the data management layer module is set to safely store the quantum key and all related data in an encryption form; and the routing calculation controller module is responsible for calculating an optimal path for key distribution and authenticating participating equipment.

The application relates to the technical field of data processing, and discloses a quick sorting method and system for instant invoice of different specifications, which comprises the following steps: determining an order type based on order information, locking target inventory based on the order type, and triggering a three-way locking mechanism; horizontally and vertically counting the target inventory and performing inventory lending processing; screening the ticket state of the target inventory, and filtering out the to-be-sorted tickets with the ticket state of 'locked' and 'problem ticket' from the target inventory; detecting the allocation specification of the order information, and triggering the box opening logic if the allocation specification is the same; and sorting the target inventory based on the order information. Through specification level association and dynamic lending, the application solves the problems of insufficient sorting specification accuracy, low efficiency caused by separate database and table, large artificial checking workload, and delayed real-time data statistics in instant invoice sorting.

The invention discloses a goods management method and device based on label checking, a medium and a product, and relates to the field of data processing. In the method, a scanning session is started, and a temporary storage label set and a confirmation label set are created; monitoring and receiving data packets broadcasted by the Bluetooth tags, and extracting a tag ID and a signal strength indication value of the Bluetooth tag corresponding to each data packet; in the temporary storage label set, creating a signal characteristic file for each label ID; if it is determined that the tag ID passes the reading quality verification, moving the tag ID from the temporary storage tag set to a confirmation tag set; when the preset scanning period is ended, the scanning session is terminated, all the label IDs in the confirmation label set are used as a successful reading list, and the label IDs in the temporary storage label set are identified as weak signal labels; and uploading the successfully read list and the weak signal label to a central management platform to carry out cargo management and re-scanning reminding. By implementing the technical scheme provided by the invention, the accuracy of cargo scanning is improved.

The application discloses a kind of baseline deviation identification method and system of low-dimensional discrete perception of industrial process, by gathering low-dimensional discrete perception data in industrial process key node, establish individualized process state baseline model for specific equipment, process stage, and calculate the statistical deviation degree of current state relative to baseline, to realize early identification and early warning of abnormal operation trend.The application overcomes the shortcomings of traditional high-dimensional monitoring system, such as high cost, complex maintenance and difficulty in adapting to individual differences, and has the characteristics of low cost, easy deployment, strong adaptability and long-term stable monitoring, suitable for various industrial scenes such as rotating equipment vibration monitoring, thermal process tracking and fluid system leakage detection.

This invention relates to the field of financial marketing technology, specifically to an integrated financial marketing management method and system based on marketing data domains. The method includes the following steps: collecting customer transaction and preference data, calculating the magnitude of change and normalizing it into feature vectors; analyzing group differences, calculating the rate of change, and generating a judgment result; combining lifecycle data clustering stage numbers and conversion progress matching rhythm parameters to generate personalized marketing plans; calculating ad placement frequency and consultant service ratio according to multi-group needs for optimized resource allocation; collecting interaction and transaction data after resource allocation, inputting it into a regression model for analysis, and generating marketing effectiveness evaluation results. In this invention, by collecting customer transaction and preference data, quantifying changes, and normalizing them into feature vectors, analyzing group differences to dynamically identify states, combining lifecycle clustering matching rhythm parameters to generate strategies, optimizing ad placement frequency and consultant service ratio according to group needs, and using regression analysis to form a closed-loop optimization management system.

The application provides a laser energy absorber adaptive control method based on torque-temperature fusion feedback, comprising: in the feedforward control stage, setting the initial working angle of the adjustable angle side plate according to the externally input laser power and initial spot diameter, and adjusting the cooling water flow to a preset threshold; in the real-time monitoring stage, controlling the servo motor to drive the adjustable angle side plate to perform small amplitude reciprocating motion at a fixed period, and collecting the torque signal in each period through the torque sensor, calculating the torque change trend to judge whether the mechanism enters the thermal lock critical state; in the judgment control stage, combining the torque signal and the side plate temperature measured by the high-temperature armored thermocouple, comprehensively judging the current operating state according to the preset safety threshold, and dynamically adjusting the cooling water flow and / or the angle of the adjustable angle side plate accordingly, and stopping the laser operation when necessary. The application improves the operation reliability and adaptive ability of the laser energy absorber under high power working conditions.