44results about How to "Realize reasonable configuration" patented technology

The invention discloses a product process route generation method and device based on a bill of materials, a medium and equipment, and belongs to the technical field of computer intelligence. The method comprises the following steps: acquiring an engineering drawing of a to-be-processed product; extracting a bill of material of the to-be-processed product according to the engineering drawing of the to-be-processed product; according to the bill of material of the to-be-processed product, establishing association relationship data between parts related to the to-be-processed product; and according to the incidence relation data among the parts related to the to-be-processed product and the existing process database, a preliminary process route of the to-be-processed product is generated through operation. The device, the medium and the equipment can be used for realizing the method. By integrating the functions of engineering drawing analysis, BOM automatic generation, process database matching, process route intelligent planning and optimization and the like, full-automatic conversion from a product design drawing to a production process route is realized, and powerful support is provided for digital transformation of enterprises in the manufacturing industry.

The invention provides a multi-source information fusion method and system in an intelligent charging network, and relates to the technical field of data processing, and the method comprises the steps: obtaining original data; preprocessing the obtained original data to obtain preprocessed data; classifying the preprocessed data according to an information source, and performing unified timestamp synchronization on similar data to generate a preliminary fusion data set; performing association analysis on similar data in the preliminary fusion data set, removing redundant information and performing screening to obtain a plurality of simplified data sets; performing cross-class data association on the simplified data set to generate a multi-dimensional fusion data set; grading information in the multi-dimensional fusion data set to form different grades of charging requests; distributing charging power and time periods for the charging requests with different priorities to obtain an optimized scheduling data set; performing conflict detection and adjustment on the optimized scheduling data set to generate an optimized control data set; according to the invention, good fusion data support can be provided for power grid control.

The invention relates to an active power control method and device of a pumped storage unit, computer equipment, a computer readable storage medium and a computer program product, which can be used in the technical field of electric power. The method comprises the following steps: acquiring a set active power value and a set capacity value of the pumped storage unit; determining a target active value according to the set active value and the set capacity value; determining the number of target operating units according to the target active value; determining a distribution active value according to the number of the target operation units and the target active value; generating a unit start-stop instruction corresponding to the number of the target operating units, and sending the unit start-stop instruction and the distributed active value to a control unit to control start-stop and active output of the pumped storage unit; according to difference information between the real active value and the distributed active value, an adjusting instruction of the pumped storage unit is determined; and sending the adjusting instruction to a control unit to adjust the active power output of the pumped storage group. By adopting the method, the efficiency of active control of the pumped storage unit can be improved.

The invention discloses a large-scale solid heat storage system and a control method, the system comprises a plurality of heat storage subareas, the heat storage subareas are arranged in parallel, inlets of the heat storage subareas are jointly connected with a main heat storage pipeline, and outlets of the heat storage subareas are jointly connected with a main heat release pipeline; each heat storage subarea comprises a plurality of heat storage pipe sections, the inlet pipe section of each heat storage pipe section is provided with a pipe section inlet valve, the outlet pipe section of each heat storage pipe section is provided with a pipe section outlet valve, the heat storage pipe sections are arranged in parallel, and each heat storage pipe section comprises a plurality of solid heat storage modules; the multiple solid heat storage modules are arranged between the pipe section inlet valve and the pipe section outlet valve in series, the inlet pipe section and the outlet pipe section of each heat storage pipe section are each provided with a temperature sensor, the temperature sensors are connected with a temperature flow feedback control unit, and the temperature flow feedback control units are connected with the pipe section inlet valves.

The invention provides a communication method and device, and a computer readable storage medium, and the communication method comprises the steps: reporting first information, the first information comprising information related to the condition switching of a main cell and / or the condition adding / updating of a main cell and an auxiliary cell in a dual-connection scene. The invention provides a scheme for assisting the terminal equipment to perform dual-connection condition switching, so that the network equipment can analyze problems existing in the existing dual-connection condition switching based on the first information, the dual-connection condition switching is optimized, and the terminal equipment can smoothly complete the dual-connection switching later.

The invention relates to the technical field of medical vending platforms, and discloses a medical vending platform mobile management method, device and equipment and a storage medium, and the method comprises the steps: creating an initial commodity shelving scheme based on the operation data of a vending machine of a medical vending platform, and collecting the image data of medical commodities; carrying out residual learning and two-stage feature extraction to obtain medical commodity feature data; inputting a medical commodity identification model to carry out medical commodity identification to obtain a medical commodity identification result; carrying out inventory detection, generating commodity inventory data, and sending the commodity inventory data to the mobile management terminal to generate a replenishment task instruction; inputting the RFID tag information and the replenishment task instruction into a replenishment execution unit, generating replenishment operation data, and updating real-time inventory information; the initial commodity shelving scheme is adjusted based on the real-time inventory information and the historical sales data, a target commodity shelving scheme is generated, and the method improves the operation efficiency and the service quality of a medical sales platform.

The target tracking-oriented aircraft cluster networking radar power distribution method is suitable for tracking a target object, and comprises the following steps: S101, simulating a target scene of a tracking task; s102, determining a tracking performance index of the aircraft cluster to the target object; s103, establishing a power distribution mathematical model; and S104, solving a model exact solution of the power distribution optimization model based on an optimization power distribution algorithm of an iterative dichotomy to determine the power distribution degree, thereby improving the tracking efficiency of the target object.

The invention discloses an optimization method and system for a dynamic grid power distribution network, and relates to the technical field of intelligent power grids, and the method comprises the steps: dividing a power supply region of the dynamic grid power distribution network, carrying out the optimization adjustment of a grid division effect according to an evaluation result, and completing the closed-loop process processing of grid division. And monitoring the visualization processing process to complete optimization of the dynamic grid power distribution network. By implementing dynamic grid division and real-time optimization adjustment, the operation flexibility and efficiency of the power distribution network are remarkably improved, reasonable configuration and efficient utilization of power resources are achieved, meanwhile, the adaptability of the power grid to renewable energy access is enhanced, the quality and reliability of power services are improved, and the method is suitable for popularization and application. And powerful technical support is provided for promoting the development of an intelligent power grid.

The invention provides a load balancing regulation and control method for a liquefied gas carrier liquid cargo operation system simulator, and belongs to the technical field of traffic transportation, and the method comprises the steps: firstly building a liquid tank pressure response model and a ship state monitoring model, and providing support for safe operation; and deploying a real-time load monitoring module to collect performance data, and carrying out preprocessing and load evaluation to comprehensively grasp the working state of the system. On the basis, dynamic task priority adjustment and load trend prediction are adopted, it is ensured that key tasks are processed in time, and the overall efficiency of the system is improved. And finally, making a dynamic load balancing strategy based on load distribution evaluation, realizing optimal configuration of resources, and monitoring and adjusting in real time to cope with load change so as to ensure stable and reliable operation of the system. According to the scheme, the technologies of modeling analysis, real-time monitoring, dynamic scheduling and the like are integrated, and the technical problems that a complex coupling relation exists among subsystems, local overload or resource waste is possibly caused by unbalanced load distribution, and the overall performance is affected are solved.

The invention provides a tomato plant monitoring method and system. The tomato plant monitoring method comprises the following steps: acquiring image data and growth environment data of a tomato plant to be monitored; determining the growth period of the tomato plant to be detected according to the whole plant image, and determining the saturation vapor pressure difference of the environment according to the growth environment data; determining the target irrigation amount of the tomato plants based on the growth period, the saturation vapor pressure difference and the irrigation amount application rule; according to the leaf features and the spectral information, identifying the nutritional status, disease and pest species and disease and pest severity of the to-be-monitored tomato plant; determining a target nutrient solution application scheme based on the nutrient condition and the nutrient solution application rule; determining a target pesticide application scheme based on the disease and pest species, the disease and pest severity, the growth period and the pesticide application rule; and controlling the water-fertilizer-pesticide all-in-one machine to perform water-fertilizer-pesticide preparation and application according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme. According to the method, tomato plants can be monitored in real time, water, fertilizer and pesticide are supplied, and the yield and quality are improved.

The invention belongs to the technical field of data processing, and particularly relates to an energy storage transaction data processing method and model based on an electric power spot market environment, and the method comprises the steps: analyzing the historical energy storage state of an electric power spot market platform to obtain a historical energy storage state feature value, and analyzing the historical transaction state of the electric power spot market platform to obtain a historical energy storage state feature value; obtaining a historical transaction state characteristic value, combining a real-time meteorological state data set, performing comparison to obtain a predicted daily charging frequency of an energy storage battery, a predicted power transmission line power factor and a predicted power grid load capacity, and performing comparison based on a scheduling optimization characteristic value to obtain an electric power spot market platform scheduling optimization scheme; the system comprises an energy storage state characteristic value analysis module, a transaction state characteristic value analysis module, a meteorological state data set acquisition module, a prediction data analysis module and a scheduling optimization scheme comparison module. The method can improve the capability of judging the future power demand and supply condition, helps to balance the power grid load, and enhances the flexibility and stability of the power system.

This application discloses a driving device, comprising: a base; a lens focusing section including: a focusing carrier movably mounted on the base; a focusing coil mounted on one side of the focusing carrier; and a common magnet disposed opposite to the focusing coil; and a chip-mounted image stabilization section including: a movable image stabilization carrier movably mounted on the base; at least one image stabilization magnet disposed on the base, opposite to the common magnet; and an image stabilization coil disposed on the movable image stabilization carrier, opposite to the image stabilization magnet and the common magnet; wherein the base includes an upward extension and a bottom lateral extension, the bottom lateral extension extending horizontally, the upward extension extending from the bottom lateral extension along the optical axis towards the object side of the base, the upward extension forming a magnet mounting position for mounting the common magnet, and the image stabilization magnet disposed on the bottom lateral extension.

The present invention relates to the field of data analysis, and in particular to a resource management method, device, equipment and storage medium based on a neural network model, the method comprising: constructing a neural network model, obtaining resource training data, inputting the resource training data into a module corresponding to the neural network model, simulating the demand data of the next year corresponding to the resource training data, and obtaining resource simulation training data; inputting the resource training data and resource simulation training data into a corresponding module, obtaining resource error data, and performing several training and error verification on the corresponding module according to the resource error data to obtain a target module of the neural network model. Compared with the prior art, it is possible to configure resources from multiple aspects, realize the reasonable configuration of resources, improve the efficiency of resource configuration, prevent resource waste, and enhance the benefit effect obtained by using resource configuration.

The invention belongs to the technical field of signal investigation, and particularly relates to a small unmanned aerial vehicle investigation system and method based on weak signals, and the system comprises a radio monitoring module, an investigation positioning module, a control module, a sound wave monitoring module, a sound wave amplification module, a sound wave equipment information module, a scheme refining module and an effect ratio module. Through the arrangement of the sound wave monitoring module, when weak signals in the investigation range are monitored, not only can the electromagnetic environment when the weak signals appear be monitored, but also the fluctuation environment when the weak signals appear can be monitored, so that the unmanned aerial vehicle can be investigated more accurately, a user can customize a sensitive threshold value, and the detection accuracy is improved. The method adapts to different investigation scenes and requirements, can improve the attention and investigation effect on specific weak signals, can obtain the information and precision of different sound wave monitoring devices, can generate a precision compensation scheme and analyze a matching value, can give full play to the potential of the devices, and can avoid resource waste while improving the monitoring precision.

The present invention relates to the field of intelligent parking scheduling, and in particular to a big data analysis method and system for intelligent parking. The method comprises the following steps: obtaining all parking lot information in the city based on a parking management platform and marking parking lot nodes; visualizing the three-dimensional distribution of parking lot nodes based on all parking lot information in the city, and constructing a three-dimensional distribution visualization network of parking lots; obtaining urban road traffic flow data based on multi-source sensors; performing real-time vehicle dynamic movement analysis on urban road traffic flow data, and performing multi-time point distribution evolution to construct a digital urban traffic trajectory portrait; obtaining historical urban parking operation logs; performing parking demand trend evolution on historical urban parking operation logs, and then performing dynamic parking demand prediction for future time periods, thereby obtaining dynamic parking demand prediction data. The present invention realizes efficient and high-utilization urban parking scheduling.

The invention discloses a control method and device, and the method comprises the steps: splitting a processor according to a first number of application programs in a running state, so as to obtain a second number of processing units; the second number is greater than the first number; the processing unit is allocated to the application program; wherein each application program is respectively allocated with at least one processing unit; the number of the processing units allocated to the target application program in the first number of application programs is greater than the number of the processing units allocated to other application programs.

The present invention discloses a method and system for increasing the production of low-carbon olefins and aromatics, comprising the following steps: (1) sending light naphtha to a normal isomerization separation unit to produce normal components and non-normal components; (2) the non-normal components may also be sent to an aromatization unit to obtain propane, normal butane, isobutane and C5+ components after separation; (3) propane, normal butane and isobutane are treated in different ways to obtain ethylene and propylene. The preparation method provided by the present invention greatly improves the yield of low-carbon olefins and aromatics, significantly improves the utilization efficiency of naphtha, and realizes the rational allocation of resources.

The invention discloses a transformer substation maintenance and replacement method and system considering time value, and belongs to the technical field of transformer substation maintenance. Based on the economic life condition of the transformer, constructing a maintenance annual average net income model considering the time value, and outputting the maximum annual average net income # imgabs0 # under the maintenance condition; a replacement annual average net income model considering time value is constructed based on the economic life condition of the transformer, and the maximum annual average net income # imgabs1 # under the replacement condition is output; when # imgabs2, the power grid equipment is not replaced; and when the # imgabs3 # is adopted, the power grid equipment is replaced, and the replacement moment # imgabs5 # corresponding to the # imgabs4 # is the economic life of the equipment. The method has practical significance in realizing lean management of power equipment operation and reasonably prolonging the service life of the power equipment for a power grid enterprise.

The present invention discloses a method for increasing the production of low-carbon olefins and a system thereof, comprising the following steps: (1) sending light naphtha to a normal isomerization separation unit to produce normal components and non-normal components; (2) sending the non-normal components to a hydrocracking unit and separating them to obtain propane, normal butane and isobutane; (3) treating propane, normal butane and isobutane in different ways to obtain ethylene and propylene. The preparation method provided by the present invention greatly improves the yield of low-carbon olefins, significantly improves the utilization efficiency of naphtha, and realizes the rational allocation of resources.

The invention provides a resource allocation method for a machine room. The method comprises the following steps: inputting a plurality of pieces of first machine room efficiency influence data corresponding to a first machine room into a machine room efficiency evaluation model to obtain first machine room efficiency evaluation results corresponding to the plurality of pieces of first machine room efficiency influence data; determining target machine room efficiency influence data from the multiple pieces of first machine room efficiency influence data according to first machine room efficiency evaluation results corresponding to the multiple pieces of first machine room efficiency influence data; performing resource configuration on the first machine room according to first machine room influence dimension data included in the target machine room efficiency influence data; the machine room efficiency evaluation model is obtained by training an artificial intelligence model by using the second machine room efficiency influence data and a machine room efficiency real result; the computer room cost related data is obtained by processing a computer room cost image based on a deep learning image processing strategy, and the authenticity of the computer room cost image and the accuracy of the computer room cost related data are audited according to a predetermined auditing rule.

The invention discloses an intelligent decision-making method for highway asphalt pavement maintenance, which relates to the technical field of pavement maintenance. Through detailed analysis of road section driving behavior data, such as: average vehicle speed, number of lane changes and lane change reaction time, the maintenance risk of the highway section can be more accurately evaluated, so as to formulate targeted maintenance strategies, evaluate maintenance risks, and ensure that maintenance decisions are based on objective data rather than subjective judgments. By analyzing the maintenance safety evaluation coefficients of maintenance groups at each collection time point, it is possible to timely judge whether the maintenance safety is qualified, and issue an early warning prompt when the safety is unqualified, effectively preventing and reducing safety hazards. Through scientific data analysis, real-time safety monitoring and dynamic resource allocation, the scientific nature of maintenance decisions, the safety of the maintenance process and the utilization efficiency of maintenance resources are significantly improved, and the intelligence and automation level of maintenance management are also improved.

The present invention discloses a service gateway and routing control method and device of a distribution network optical fiber data network, and relates to the field of communication technology, wherein the control method is applied to a network management center, and includes: obtaining the MAC addresses of all access user terminals under the service gateway interface corresponding to each aggregation switch in the distribution network optical fiber data network; obtaining the characteristic information of each access user terminal based on the MAC address; calculating the weight data of each aggregation switch based on the characteristic information of the access user terminal; determining the main gateway and main routing aggregation point of the distribution network optical fiber data network based on the weight data of each aggregation switch, and configuring the routing strategy based on the access user terminal, access switch, main gateway and main routing aggregation point. The present invention solves the technical problem in the related art that the service gateway and routing are controlled according to the preset routing priority and the priority of the virtual redundant routing protocol, and it is difficult to effectively guarantee the service.

The utility model discloses a kind of paint dripping equipment, comprising: machine table, at least two coating station components, at least one heating device and at least two waste liquid collecting devices, the coating station component is spaced apart on the machine table along X-axis direction;The heating device is slidably installed on the machine table;The waste liquid collecting device is installed on the machine table, and is located below corresponding coating station component respectively;The waste liquid collecting device includes: receiving tray, the receiving tray is set to the immediately below coating station component;At least one waste liquid collecting barrel, the waste liquid collecting barrel is detachably set below the receiving tray, the bottom of the receiving tray is equipped with discharge port, the discharge port and the inlet of the waste liquid collecting barrel correspond to intercommunication.It can realize the collection of waste paint, ensure production continuity and operation safety, improve coating efficiency.

The invention discloses an urban lighting control method and system based on distributed illuminance and a storage medium. The method comprises the following steps: dividing a city preset illumination area, and collecting illuminance and meteorological data of each illumination sub-area; analyzing the illuminance data and generating an urban real-time illuminance field; comparing whether the illuminance of each illumination sub-region is lower than a preset illuminance threshold of the illuminance of the corresponding region or not to determine the illumination sub-regions to be regulated and controlled, and distinguishing adjacent or independent illumination sub-regions in the illumination sub-regions to be regulated and controlled; for each independent illumination sub-region, correspondingly generating a first regulation and control instruction to complete illumination intensity adjustment of the illumination sub-region; clustering is carried out on the adjacent illumination sub-regions, and a linkage region is determined; acquiring illuminance compensation values of adjacent areas in the linkage area by using an illuminance compensation neural network model; and obtaining a linkage area illuminance adjustment scheme by using a multi-objective optimization algorithm, and generating a second regulation and control instruction to complete linkage area illuminance adjustment and control. According to the invention, fine management of urban lighting can be realized.

The present invention relates to the technical field of intelligent inspection and path planning, and in particular to a garden automatic inspection method and system based on path planning, which integrates self-organizing mapping, fractal geometry analysis, quantum heuristic optimization, hybrid fuzzy neural network and adaptive genetic algorithm, and realizes intelligent planning and real-time adjustment of garden inspection paths; the system generates a three-dimensional model by collecting terrain, vegetation and environmental data of the garden, and identifies functional areas and sets inspection parameters based on the model; generates an initial optimized path through an intelligent algorithm, monitors environmental changes in real time during the inspection process, and adjusts the path; dynamically allocates and executes inspection tasks, and continuously optimizes the path planning strategy through feedback data, which significantly improves inspection efficiency and resource utilization; the present invention can flexibly respond to environmental changes in a complex garden environment and realize efficient automatic inspection task execution.

The invention discloses an intelligent water-saving valve control system for intelligent irrigation, which relates to the technical field of agricultural irrigation and comprises an environment detection system, a valve control system and a wind-solar complementary power supply system. The environment detection system is used for collecting soil temperature and humidity parameters, the pressure intensity value of the atmosphere, the wind direction, the rainfall capacity and the solar radiation intensity in real time and transmitting the parameters to the valve control system. The valve control system is used for judging whether to control opening or closing of a valve based on the soil temperature and humidity parameters so as to realize irrigation; the wind-solar complementary power supply system is used for supplying power to the whole system by using renewable energy wind energy and solar energy; according to the intelligent water-saving valve control system for intelligent irrigation provided by the embodiment of the invention, the irrigation requirements of plants are accurately judged, so that the purpose of timely irrigation is achieved, the optimal water demand of the plants is ensured, and meanwhile, water resources are fully utilized.

The invention discloses a multi-sensor fusion optimization system based on micro machine learning, belongs to the technical field of regional sharing, and aims to solve the technical problems of how to improve the use efficiency of regional resources and reduce the vacancy rate of the resources. Comprising a regional resource management terminal and a regional resource management platform. The regional resource management terminal is used for taking the preprocessed space use state information as input, and predicting and outputting the occupancy rate of corresponding regional space resource use through a trained TinyML model; the regional resource management platform interacts with a regional administrator as a user, a leasing person and a platform administrator, supports the regional administrator and the leasing person to carry out leasing transaction and leasing settlement on a selected idle region, and records a leasing transaction process and a leasing settlement process to form regional leasing information; a platform administrator is supported to carry out identity authentication on a regional administrator and a leasing person who carry out leasing transaction and leasing settlement, and reasonable configuration and efficient utilization of regional resources are realized.

The invention discloses a power distribution network planning method and device, computer equipment and a readable storage medium, and relates to the technical field of power system planning, and the method comprises the steps: constructing a power distribution network planning model with the minimum total cost as a target, and considering a power generation power supply constraint condition, a power distribution network flow constraint condition and a node power balance constraint condition in the model, therefore, the access position of the charging station can be optimized by comprehensively considering the actual condition of the whole power distribution network, the reasonable configuration of the charging load is realized, and the safe operation of the power distribution network is ensured. The method comprises the following steps: constructing a target function of power distribution network planning by taking total cost minimization as a target; on the basis of the objective function, introducing a power generation power supply constraint condition, a power distribution network power flow constraint condition and a node power balance constraint condition to construct a power distribution network planning model; and carrying out global planning on the access position of the charging station by adopting the power distribution network planning model and taking the access position of the charging station as a decision variable so as to obtain an optimal planning scheme.

This application provides an optical component and its assembly method. By fixing a third lens portion with its optical axis as a reference, the positions of the first and second lens portions are simultaneously adjusted. Based on the sensitivity of the optical lenses, the first lens portion, with higher sensitivity, is first fixed to the housing of the driving device. Then, the position of the second optical lens portion, with lower sensitivity, is adjusted. Finally, after the second lens portion can clearly image the image, it is fixed to the focusing carrier of the driving device, thus forming the optical component described in this application. This assembly method simplifies the assembly process while ensuring the accuracy of the assembled optical component.

The invention relates to the technical field of reactors, in particular to a main control room and control center of a heat supply reactor, which comprises a first workbench, a second workbench and a display unit group, the first workbench comprises two operation monitoring units, and each operation monitoring unit is configured to be capable of monitoring the working parameters and / or working pictures of the corresponding reactor unit and controlling the work of the corresponding reactor unit; the second workbench is arranged behind the first workbench and is used for monitoring working parameters and / or working pictures of the two reactor units; the display unit group is arranged in front of the first workbench, and the display unit group at least comprises two first display units and a group of public display units arranged between the two first display units; according to the main control room of the heat supply reactor provided by the invention, centralized monitoring and control of the two reactor units can be realized, and the safe operation requirements of the two reactor units can be met with less configuration.