92results about How to "Accurate configuration" patented technology

The invention provides a digital project management method and system based on artificial intelligence, and relates to the technical field of artificial intelligence. Constructing a multi-level resource constraint matrix; generating a resource collaborative optimization configuration model by using a deep neural network; calculating a real-time scheduling weight coefficient; constructing a resource scheduling objective function; solving an optimal resource scheduling scheme by adopting an improved ant colony algorithm; inputting the optimal scheme into an intelligent cooperative controller for dynamic adjustment; and intelligent cooperative scheduling of power grid engineering construction resources is realized. According to the invention, the resource scheduling efficiency and accuracy are improved.

The invention provides an LED product surface defect detection method, which comprises the following steps: carrying out defect feature extraction on a preprocessed LED surface image by adopting a multi-scale morphological algorithm, and respectively carrying out morphological opening operation and closing operation on surface recesses and fine scratches by setting structural elements with different sizes and shapes to obtain candidate regions of the recesses and the scratches; according to the geometric dimensions, morphological characteristics and spatial distribution detail attributes of the recesses and scratches, constructing defect feature vectors, and performing classification and severity evaluation on defect candidate areas through a support vector machine algorithm to obtain the types, positions and quantitative description parameters of defects; and updating the light source parameter database and the defect feature database according to a quality detection result of the LED product, analyzing an association rule between defects and light source parameters through a data mining algorithm, and optimizing a light source parameter configuration strategy and a defect detection model.

The invention provides a method and system for virtual power plant resource allocation optimization and computing equipment, and is applied to the technical field of new energy prediction. The method comprises the following steps: collecting data of a distributed energy production and elimination main body through a centralized control center; establishing prediction data by using the prediction model; forming an internal scheduling plan by using a master-slave game model so as to determine the output and income of each distributed energy production and elimination main body; the operation state of the distributed energy production and elimination main body is monitored in real time through a sensor, intelligent metering equipment and a communication network, and the internal scheduling plan is dynamically adjusted according to the operation state, so that the stability and economy of the system are ensured. By using the method and the system of the invention, flexibility and economy of internal and external resource allocation of the virtual power plant can be improved.

The invention discloses an intelligent remote follow-up visit method and system for tumor patients, and relates to the technical field of medical intellectualization, and the method comprises the steps: collecting follow-up visit data through a remote medical terminal, carrying out the processing of the follow-up visit data, obtaining a physical sign index sequence and a symptom feature vector, and generating a dynamic follow-up visit evaluation score through a time sequence prediction model; performing semantic analysis on the electronic medical record data of the patient based on the medical knowledge map, extracting tumor stage classification data, chemoradiotherapy measurement data, weight nutrition indexes and laboratory inspection data, determining a basic risk coefficient, a cumulative dose ratio and a body state score, and generating a baseline follow-up assessment score through a prediction model; and according to the dynamic follow-up evaluation score and the baseline follow-up evaluation score, calculating a comprehensive follow-up grade and generating a next follow-up plan. According to the invention, the accuracy of patient state evaluation is improved, accurate configuration of medical resources is realized, and the quality and efficiency of remote follow-up visit are effectively improved.

The invention discloses a supply chain multi-party sharing management system based on a digital transaction platform, and relates to the technical field of supply chain management systems. The supply chain management platform is in communication connection with a data acquisition and integration module, a prediction analysis module, a resource scheduling module, a collaborative operation module and a monitoring optimization module, and all the modules are in electric signal connection. According to the supply chain multi-party sharing management system based on the digital transaction platform, resource allocation is dynamically adjusted by using a resource scheduling demand prediction result in combination with a current resource condition, resources are ensured to be effectively utilized at correct time and places, the resource utilization efficiency is remarkably improved through dynamic adjustment and configuration optimization capabilities, and the resource utilization rate is improved. According to the method, resource waste is reduced, market changes can be quickly adapted, emergency demands can be responded, and a quantitative evaluation tool is provided for resource scheduling by using the resource scheduling evaluation index, so that various resources in a supply chain are intelligently allocated and optimized.

The utility model provides an architectural membrane structure performance testing device for simulating a corrosion environment. The architectural membrane structure performance testing device comprises a membrane material tensioning device, an artificial corrosion simulation device and a data acquisition system, the membrane material tensioning device is used for fixing a to-be-tested building membrane material and applying tensioning force to the membrane material during testing; the manual simulation corrosion device comprises a control module, and a booster water pump and an ultraviolet lamp tube which are connected with the control module; the control module simulates the corrosion and aging environment of the membrane material by quantitatively switching on and off the booster water pump and the ultraviolet lamp tube during testing; the data acquisition system comprises a laser displacement sensor, and when the building membrane material with the mark point deforms in the simulated membrane material corrosion and aging environment, the laser displacement sensor monitors the deformation amount corresponding to the mark point and forms test data; the tension force and direction of the membrane structure can be accurately controlled, long-term corrosion is carried out after tension is completed, and accurate mechanical property analysis and evaluation are carried out on the safety performance of the membrane structure before and after corrosion.

The invention discloses an ITSS operation and maintenance resource configuration optimization method and system. The method comprises the following steps: firstly, establishing a network node model of operation and maintenance resources to be allocated; constructing a constraint model of the operation and maintenance resources to be allocated according to the constraint conditions of the operation and maintenance resources to be allocated; determining a to-be-allocated operation and maintenance resource configuration model based on the to-be-allocated operation and maintenance resource network node model and the to-be-allocated operation and maintenance resource constraint model; according to the to-be-allocated operation and maintenance resource configuration model, obtaining an initial configuration scheme of optimal configuration of to-be-allocated operation and maintenance resources and a resource configuration deviation matrix; and according to the initial configuration scheme and the resource configuration deviation matrix, obtaining a target configuration scheme for optimal configuration of the operation and maintenance resources to be allocated. Through the systematized and modeled operation and maintenance resource configuration optimization method, efficient, accurate and flexible configuration of the operation and maintenance resources is realized, and the method has remarkable effects of improving the operation and maintenance service quality, reducing the cost and enhancing the enterprise competitiveness.

The invention relates to the technical field of storage and provides an initialization method for an LPDDR5, electronic equipment and a medium. In order to deal with the problem of abnormal command identification, improvement on an initialization process of a low-power fifth-generation double-rate memory is provided, before command bus training is carried out, optimization design is carried out on an operation step of initializing a configuration mode register to write a command, and a delay training module is used for carrying out delay training on the command bus. Frequency division is performed on the clock signal on the clock signal link, the command address mode and the chip selection mode are widened, the clock signal after frequency division is delayed, the first numerical value is used as an adjustable parameter, and the accuracy and the stability of mode register write commands are improved. The method is beneficial for ensuring that the time sequence diagram of the write command of the mode register meets the time sequence requirement of the particles of the memory, and is beneficial for ensuring that the particles of the memory can be correctly configured and initialized before command bus training is started.

The invention relates to an off-peak electricity peak use control method and a temperature control strategy and a power management system applying the off-peak electricity peak use control method, and belongs to the technical field of energy-saving control. Respectively establishing objective functions of the total cost of the storage battery module, the volume of the storage battery, the recovery period and the loss in the electricity storage process of the storage battery; s2, solving the plurality of objective functions through an NSGA-II algorithm to obtain a Pareto frontier solution; and S3, calculating the weighted sum of each objective function by using a minimize function, obtaining an optimal solution with the minimum weighted sum in the solutions of the Pareto frontier, configuring the storage battery according to the optimal solution, and switching the commercial power or the storage battery to supply power to the compressor according to the electricity price of the peak valley electricity period. According to the valley electricity peak use control method, the problems that the capacity configuration of the storage battery is not clear and the recovery period is not clear are solved, the power consumption cost is minimized, and the pressure of the peak period of the power grid is relieved.

The invention relates to a multi-unit polling method and device, computer equipment and a storage medium. The method comprises the steps that each polling unit polls according to pre-configured parameters and reads target address data, and the parameters of the polling units comprise at least one of the following items: expected data, polling intervals and the maximum number of polling times; each polling unit compares the target address data with expected data to obtain a polling result; the polling unit records the polling result to a completion register and submits a report request to a total engine; in response to the received report request, the total engine adds the report request into a request queue; in response to the fact that the request queue is not empty and the central processing unit starts interrupt enabling, the total engine sends a polling completion notification to the central processing unit in an interrupt mode; and the central processing unit reads the polling result from the completion register according to the polling completion notification. By adopting the method, the polling burden of the central processing unit can be reduced.

The invention discloses a method and a device for setting interface calling timeout time, and relates to the technical field of computers. According to one specific embodiment, the method comprises the steps that in response to a request for setting interface calling timeout, interface calling related information of all registered services is obtained from a service registration center, and the interface calling related information comprises interface calling statistical data and a timeout configuration strategy; calculating target timeout time of each service according to the interface calling statistical data of each service and a timeout time configuration strategy; and setting the interface calling timeout time of each service registered in the service registration center according to the target timeout time of each service. According to the embodiment, reasonable and accurate calculation and simple and convenient configuration of the interface calling timeout time are realized, so that the service availability is ensured, and the stability of a service system is improved.

The embodiment of the present application provides a device parameter configuration method and apparatus, an electronic device and a storage medium, which belongs to the field of machine learning technology. The method includes: obtaining the number of devices in the target network, device associations, device parameters and network performance indicators of the target network; constructing a target Markov random field based on the number of devices, device associations and device parameters; performing spanning tree sampling on the target Markov random field to obtain multiple uniform random spanning trees; performing belief propagation on each uniform random spanning tree to obtain a parameter edge probability distribution; performing probability merging on the parameter edge probability distribution to obtain a target edge probability distribution; based on the target edge probability distribution, network performance indicators and a preset network performance evaluation function, performing parameter configuration on the device parameters to obtain a target parameter value combination. The embodiment of the present application can improve the efficiency of device parameter configuration in large-scale network optimization problems.

The application discloses a kind of flammable refrigerant sensor test platform and test method, including oil tank, refrigerant tank, sensitive gas tank, toxic gas tank, first tank body, second tank body, third tank body, fourth tank body and integrated control cabinet, wherein: the first tank body is provided with first tank body import, first tank body fan, first tank body air vent and stainless steel grid;The second tank body is provided with sensitive gas or toxic gas import, second tank body gas inlet, second tank body fan and second tank body pressure control module;The third tank body is provided with third tank body gas inlet, third tank body fan and third tank body temperature and humidity control module;The fourth tank body is explosion-proof tank, is provided with fourth tank body gas inlet, fourth tank body fan and fourth tank body pressure control module;The application can meet the multiple test requirements of sensor, and allow multiple tests to be carried out simultaneously, improve test efficiency.

The present application belongs to the technical field of water resource measurement and management, and discloses a social economy-ecosystem water resource demand measurement and optimal allocation method and system, aiming to solve the problems of insufficient accuracy, weak dynamic response capability and lack of fine adaptation framework in existing water resource demand measurement. The present application builds a basic database covering historical basis and SSP-RCP future scenarios, completes multi-source heterogeneous data preprocessing and scale matching, selects key driving factors of life, agriculture, industry and ecological water demand by department, adopts multi-model set to select the optimal simulation model of each department and analyzes the driving mechanism combined with explainability analysis, realizes differentiated water resource demand measurement based on the optimal model, carries out supply and demand balance analysis and builds a multi-objective optimal allocation scheme. The present application has high prediction accuracy and strong dynamic response capability, is suitable for fine management of water resources at county scale, and can provide scientific basis and decision support for regional water resource optimal allocation and sustainable development.

The application relates to the technical field of PCIe devices, and discloses a parameter configuration method and device, a computer device and a storage medium, the method comprising the following steps: setting a plurality of first preset value combinations; configuring preset values of a plurality of PCIe devices according to the first preset value combinations, and performing first testing on the plurality of PCIe devices to obtain first testing results; determining an effective preset value range that can be configured by each PCIe device according to the first testing results; selecting an effective preset value from the effective preset value range corresponding to each PCIe device to form a second preset value combination; configuring preset values of the plurality of PCIe devices according to the second preset value combination, and performing second testing on the plurality of PCIe devices to obtain second testing results; and determining an optimal second preset value combination according to the second testing results corresponding to the plurality of second preset value combinations. The application can determine optimal preset values corresponding to each PCIe device respectively, and can simultaneously ensure the stability of PCIe links of each PCIe device.

The invention relates to a data transmission method, a communication system and a storage medium, and the data transmission method comprises the steps: transmitting a broadcast packet to a first-stage slave device under the condition that the communication system is in a configuration mode; the broadcast packet is transmitted to the last-stage slave device stage by stage backwards from the first-stage slave device based on a ring topology connection structure; receiving an address packet of each slave device sent by the last-level slave device; the address packet carries a device configuration address of the slave device; the address packets are correspondingly generated when the slave devices receive the broadcast packets, and are transmitted backwards to the last-stage slave device step by step based on a ring topology connection structure; generating configuration information of the slave device according to the device configuration address; and transmitting a data packet to the slave device according to the configuration information based on the ring topology connection structure under the condition that the communication system is switched from the configuration mode to the data transmission mode. According to the invention, the problem of low reliability of data transmission is solved.

The invention discloses a mine right transaction large model response system based on weighted data modeling, and the system comprises the following steps: receiving and recognizing an input instruction based on a large language model, and analyzing a query intention which comprises historical data query and mine right value estimation; if the query intention is historical data query, directly retrieving a database and returning a result; and if the query intention is mine right value estimation, inputting the received mine data into a weighted data model, calculating a result in combination with a machine learning model, generating an estimated mine right transaction value, and returning the result. According to the system disclosed by the invention, a large language model is combined with a retrieval enhancement generation framework, and multi-dimensional data is collected and analyzed; setting reasonable weights for different parameters by using a machine learning algorithm, and constructing a complex relational expression between the ore removal right transaction value and the parameters; a user can inquire historical transaction data in a natural language dialogue form and can also input specific information of a current mine, and the system can automatically output mine right transaction value.

The invention discloses a novel power distribution system multi-time scale reserve capacity optimization configuration method and device, and the method comprises the steps: generating an operation scene based on wind and light load information through employing a Wasserstein gradient penalty generative adversarial network, and generating a typical scene set through employing an improved K-means clustering reduction scene; based on the multi-time-scale standby service demand model, constructing a power distribution system multi-time-scale standby capacity double-layer optimization configuration model based on conditional value-at-risk, and applying a conditional value-at-risk theory to control operation risks existing in a typical scene set; performing equivalent transformation on the double-layer optimal configuration model and constraint conditions based on second-order cone relaxation and parameter transfer, and obtaining an optimal configuration result through a solver; and based on an optimal configuration result, realizing optimal configuration of the standby resources with the minimum optimal configuration and operation cost. The device comprises a processor and a memory.

The present invention belongs to the technical field of wind power generation control, and in particular, relates to a method and system for discharging configuration of an intelligent energy storage cabinet with natural wind redundant output. The method firstly obtains historical wind speed, wind direction and output power data, and constructs a wind-wind direction output change function and a predicted change function; secondly, constructs a power demand prediction function and combines it with the wind-wind direction output change function to obtain a wind output surplus-difference function; thirdly, constructs an energy storage cabinet storage control model based on a particle swarm algorithm, a fuzzy PID control algorithm and a wind output surplus-difference function, and trains it using wind data, load demand data and energy storage cabinet status data; configures the trained model into an energy storage cabinet control subsystem, and dynamically adjusts the charge and discharge power of the energy storage cabinet according to real-time predicted wind and load demand data and energy storage cabinet status data; the method improves the stability of wind power generation and reduces the phenomenon of load demand imbalance caused by wind fluctuations.

The invention relates to a system for operating a physical measuring chain, which has a plurality of physical measuring elements at a measuring location; the physical measuring elements comprise at least one physical sensor, at least one physical transmission device and at least one physical evaluation unit; wherein an identification code is detected from each physical measuring element; wherein a data network transmits the detected identification codes to a data processing unit which is remote from the measuring location; wherein the data processing unit has at least one software and measuring element data; wherein the software reads the measuring element data for the transmitted identification codes and generates therefrom a digital measuring chain, which has at least one digital sensor, at least one digital transmission device and at least one digital evaluation unit; and wherein the data network transmits the digital measuring chain to a computer unit which is located at the measuring location.

A communication method and apparatus are disclosed. The method includes: A terminal receives first information from a network device. The terminal determines N pieces of training data based on the first information, and N is an integer. The terminal performs model training based on the N pieces of training data, to obtain a first AI model. In the method and the apparatus in this application, the network device configures the first information used to determine the N pieces of training data for the terminal. The terminal performs model training based on the N pieces of training data autonomously. Therefore, the network device does not need to separately configure an AI model for the terminal. This reduces air interface overheads to some extent.

The invention discloses an aerodynamic heat management configuration design method for a large-airspace and wide-speed-domain hypersonic aircraft. The aerodynamic heat management configuration design method comprises the steps that a reference aerodynamic layout is determined, and appearance design oriented to heat flow distribution optimization is carried out; establishing a thermal environment database through multi-working-condition numerical simulation; dividing the surface of the aircraft into thermal management areas of different grades based on the thermal environment database; configuring a thermal protection material and designing a gradient thermal protection structure for each thermal management area to realize conformal integration with the reference aerodynamic layout; the integrity and reliability of the integrated structure under the heat / force load are verified through heat / structure coupling simulation analysis; and carrying out performance evaluation and iterative optimization, and if the design indexes are not met, returning to corresponding steps for optimization until the design is converged. Integrated collaborative design and closed-loop iterative optimization of aerodynamic configuration and thermal management performance are realized from a design source, and the problems of overweight of a thermal protection system, poor thermal environment adaptability and low design efficiency caused by a traditional serial method are effectively solved.

The invention discloses a single-shaft air bearing table and a rotational inertia configuration method thereof.The single-shaft air bearing table comprises an air bearing, a rotating platform, a plurality of configuration assemblies, a measuring module, a calculating module, a control module and a flywheel, target rotational inertia and target mass are preset, and a rotational inertia error threshold value of the single-shaft air bearing table is set; the single-shaft air bearing table is electrified and initialized to reach a balanced state, and the rotational inertia of the single-shaft air bearing table in the balanced state is accurately adjusted through a flywheel and a plurality of configuration assemblies based on the target rotational inertia, the target mass and a preset rotational inertia error threshold value. According to the single-axis air bearing table and the rotational inertia configuration method, the rotational inertia of the single-axis air bearing table can be linearly changed, and accurate configuration of the rotational inertia is achieved.

The application relates to the technical field of intelligent communication evaluation, and discloses a Chinese traditional culture intelligent communication effect evaluation method and system. The method comprises the following steps: analyzing original culture communication content, extracting element features such as cultural connotation, emotional color and historical background; collecting direct interaction records and indirect behavior tracks of audiences; performing grid-by-grid matching and superposition of the element features and audience feedback in a preset space-time grid; quantitatively scoring the superposition data according to preset weights and rules; introducing initial scores into a simulator based on a culture communication law model to perform dynamic evolution calculation; performing multi-round iteration optimization on the evolution result by using incremental feedback data to generate an evaluation value; and mapping the evaluation value into a correction instruction for content form, communication channel and presentation rhythm. The method realizes fine evaluation and dynamic trend prediction of communication effect in the space-time dimension, and supports accurate optimization and adaptive adjustment of a communication strategy.

The invention discloses a method, a system and equipment for an IPTV (Internet Protocol Television) system to control an application network. The method comprises the following steps: receiving a starting request of a target application program; obtaining a target application package name of the target application according to the starting request; searching a target network name corresponding to the target application package name based on a preset corresponding relation of the target application package name in an application network configuration file, and determining a target network based on the target network name; and configuring a network environment of the target application program according to the target network, and starting the target application program. According to the application, the technical problem that different applications can access different networks only by modifying application codes in the prior art is solved, and the technical effects that the application network access is controlled through the IPTV system, and the different applications can access different networks without modifying the application codes are achieved.

This invention relates to a shock tube gas distribution method and system. During shock tube experimental gas preparation, a gas distribution column and a mixing tank are used in conjunction to actively control the internal pressure of the gas distribution column. An additional pressure-reducing stage is added between the gas cylinder and the mixing cylinder. The gas distribution column buffers large fluctuations in gas flow and pressure, resulting in a more stable gas flow and significantly improving the accuracy of the experimental gas component ratio. Simultaneously, the mixing tank has only one inlet connecting to the gas distribution column and one outlet connecting to the shock tube, improving the tank's strength and pressure-bearing capacity, and enhancing gas distribution safety.

The invention discloses an urban pipe network overflow sewage pollution reduction and carbon reduction automatic treatment device, which belongs to the technical field of sewage treatment, and comprises a sedimentation tank, a treatment tank, a water storage tank and a filter material tank, and the sedimentation tank is located in a riverbed. The overflow sewage treatment structure composed of the sedimentation tank, the treatment tank, the water storage tank and the filter material tank is arranged in the river channel, the overflow sewage treatment structure is constructed on the river bank of the river channel under the condition of not occupying urban land resources, and certain height difference exists among the interiors of the structures, so that the sewage treatment effect is improved. The appearance of the built treatment structure is equivalent to that multiple stages of water drops are arranged in the river channel, emergent vegetation is distributed on the last stage of filter material pool, the urban river channel landscape can be beautified, in addition, the structure can achieve storage and treatment of overflow sewage, the pollution load of the overflow sewage or direct-discharge sewage entering the river is reduced, and the ecological environment is protected. The cost of large-scale pipe network transformation and installation treatment equipment is effectively reduced, and the problem that existing equipment and technology occupy a large number of land resources is solved.

The utility model provides a kind of power module of hybrid power module and double motor controller, and power module includes: heat dissipation plate, first power module and second power module installed on the heat dissipation plate and the circuit board connected with the first power module and the second power module;Wherein, the first power module and the second power module are different packaging type power module, the first power module is suitable for driving motor side, and the second power module is suitable for generator side.The utility model integrates different types, different packaging power module on the same heat dissipation plate, constructs a kind of hybrid power module architecture for double motor system, effectively solves the performance redundancy and cost problem caused by using same type high-cost module in traditional double inverter system or the contradiction that using same type low-performance module leads to driving side performance deficiency.

The application relates to the technical field of Internet of Things, in particular to a connectionless wireless configuration updating method for sealed equipment, wherein a configuration terminal broadcasts a discovery beacon, a wireless sensor polls and listens and generates a network access request; the configuration terminal responds to the network access request; both sides establish a secure pairing based on a root key to derive a session key; the configuration terminal encrypts target configuration parameters and sends the target configuration parameters to the wireless sensor; the wireless sensor decrypts and verifies the target configuration parameters, updates local configuration, and encrypts feedback results and sends the feedback results to the configuration terminal. The application realizes remote secure configuration updating in a lost state of the sealed equipment through coupling of connectionless communication independent of a TCP / IP protocol and end-to-end encryption, and significantly improves maintainability and security.

The present disclosure relates to a number segment data detection method and device, a mobile network and a storage medium. The number segment data detection method comprises: before a high-level network warehouse function network element executes number segment configuration, performing data correctness detection on number segment data to be configured; and performing data repeatability detection on the number segment data to be configured. The present disclosure adds a data detection process before the HNRF network element instructs the number segment configuration command step, and the process detects the correctness and repeatability of the number segment configuration data, so that the purpose of accurate configuration can be achieved, and the NF routing conflict situation is reduced.