2293results about How to "Efficient collection" patented technology

The invention discloses a construction progress control method in project supervision, and the method comprises the steps: calculating the current punctual completion rate and process handover delay time of each subpackage provider according to a real-time progress data set and a pre-established project network diagram, recognizing the progress fluctuation modes of different project stages through a time sequence analysis method, and carrying out the construction progress control according to the progress fluctuation modes. Establishing a correlation model of the sub-packaging quotient and the engineering stage; according to the priority scores, taking minimization of overall construction period delay and resource idleness as objective functions, applying an optimization algorithm, dynamically adjusting a construction plan and a resource allocation scheme of each subpackage provider, and generating an optimized project progress plan which comprises specific work arrangement and resource allocation suggestions of each subpackage provider; a successful coordination strategy in a historical project is analyzed, coordination measures are recommended for project management personnel and a set of communication matrix is generated according to characteristics and progress conditions of a current project, and the coordination measures comprise resource allocation suggestions, process optimization schemes and communication strategy templates.

The invention relates to the technical field of server temperature control, and discloses a liquid cooling server intelligent temperature control method based on local software monitoring, and the method comprises the following steps: data collection: collecting hardware temperature data and task load data of a liquid cooling server through an embedded real-time monitoring module; temperature prediction: based on the hardware temperature data and the task load data, utilizing a prediction algorithm to analyze the temperature change trend of the server in a period of time in the future; regulation and control decision making: according to the temperature change trend, generating regulation and control parameters for regulating the flow of the cooling liquid and the target temperature of the cooling liquid; the invention further discloses a liquid cooling server which comprises an embedded real-time monitoring module, a distributed control unit, a cooling loop module and a local off-line temperature control module. Through the dynamic temperature control algorithm, the distributed control unit and the local temperature control module, real-time accurate regulation and control, efficient response and independent operation under the condition of network disconnection are achieved, and the reliability and adaptability of the system are improved.

The invention relates to the technical field of constructional engineering, in particular to a steel structure construction intelligent monitoring method based on unmanned aerial vehicle inspection and point cloud processing, which comprises the following steps: S1, collecting point cloud data of geometric shape, size and position information of each part of a steel structure; s2, registering and fusing the point cloud data from different visual angles to form a three-dimensional point cloud model; s3, geometric features of the steel structure are extracted from the three-dimensional point cloud model, and a steel structure three-dimensional model is established; s4, comparing the steel structure three-dimensional model established in the S3 with a construction drawing, and identifying geometric differences; and S5, analyzing the construction deviation report, and identifying potential quality problems in construction. According to the invention, by combining the unmanned aerial vehicle inspection, the point cloud processing and the graph neural network algorithm, the quality problem in steel structure construction can be efficiently and accurately identified, the safety risk can be evaluated, and the automation and intelligence level of construction quality monitoring can be significantly improved.

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention relates to a power station screen cabinet equipment temperature early warning method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a dual-light image of power station screen cabinet equipment to be analyzed according to acquisition parameters corresponding to current acquisition; the dual-light image comprises an infrared thermal imaging image and a visible light image; performing preprocessing, feature extraction processing, spatial registration processing and information fusion processing on the dual-light image to generate a fused image; performing temperature field reconstruction processing and hot spot detection processing on the fused image to obtain temperature field distribution information and hot spot area information; and according to the temperature field distribution information and the hot spot area information, performing temperature analysis on the power station screen cabinet equipment to obtain temperature early warning information of the power station screen cabinet equipment. By adopting the method, the temperature early warning accuracy of the power station screen cabinet equipment can be improved.

The invention provides a multi-modal digital twinborn scene building method and device based on image semantic fusion, and relates to the technical field of data processing and digital twinborn scenes. The method comprises the steps of obtaining an image data set and a text data set of a building construction site, and performing preprocessing; inputting the preprocessed image data set and text data set into a natural language processing model to obtain semantic description auxiliary data; inputting the preprocessed image data set into a target detection algorithm to obtain target extraction image data containing a target detection frame; fusing the output results of the two targets to obtain a fusion box of each target; then, a perspective projection algorithm is adopted to calculate a coordinate position corresponding to each target in the BIM, and three-dimensional world coordinates are obtained; and inputting the three-dimensional world coordinates into the BIM by adopting Dynamo to realize the building and real-time updating of the multi-modal digital twinborn scene. According to the method, the accuracy and robustness of scene recognition are remarkably improved, and the defects of a traditional method in the aspect of multi-modal data processing are overcome.

The invention relates to the technical field of audio, in particular to an intelligent sound effect optimization system based on dynamic frequency gain adjustment, which comprises an audio signal processing module, an environmental noise suppression module, a dynamic frequency gain adjustment module, a user interaction interface module and an intelligent learning module, through cooperation of an audio signal processing module, an environmental noise suppression module, a dynamic frequency gain adjustment module, a user interaction interface module and an intelligent learning module, the audio signal processing module is used for receiving an original audio signal and performing preliminary processing and analysis; the environmental noise suppression module is used for monitoring the environmental noise level in real time and correspondingly adjusting the audio signal so as to eliminate or reduce the influence of the noise; real-time adjustment can be carried out according to different acoustic environments and audio signal characteristics through dynamic frequency gain adjustment, it is ensured that the best sound effect experience can be provided in any environment, and the sound effect optimization effect in the complex environment is improved.

The invention discloses an industrial visual detection system based on multi-modal fusion, which belongs to the technical field of industrial data acquisition, processing and processing, and comprises a multi-modal data acquisition and calibration module, a scene image capture module, a visual information synthesis module, an algorithm optimization and training module and a multi-modal image output module, the multiple modules are integrated into the industrial visual detection system for multi-modal data acquisition, processing and fusion, high-quality original data are provided for subsequent image analysis, images of industrial scenes can be automatically captured under different illumination conditions, an original image database containing various illumination and scene conditions is constructed, and the visual detection system has the advantages of being simple in structure, convenient to operate and high in practicability. The system can operate stably, high-precision analysis and processing of the image data set in the industrial scene are realized, the corresponding fusion image is generated, the industrial visual inspection report is generated based on the fusion image, and the adaptability and reliability of the industrial visual inspection system are improved.

The invention discloses a wireless communication network data secure transmission method and system, and relates to the technical field of secure transmission. During system operation, agricultural monitoring data are collected in real time through various sensor devices arranged in an agricultural environment, encryption processing is performed by using a symmetric encryption algorithm, and a dynamic key length adjustment mechanism is supported; a random number generator is integrated, unified management is performed on key generation, distribution, updating and destruction in a system, a timestamp or a random serial number is embedded into each data packet, the uniqueness of the timestamp or the serial number is verified at a receiving end, so that replay attacks are resisted, and the data are comprehensively analyzed and evaluated according to a set algorithm, so that the replay attack is prevented. The method comprises the following steps: acquiring a security data transmission performance index SDTP through calculation, generating a monitoring report, detecting abnormal conditions in a data transmission process, including channel quality reduction, data loss or verification failure, and providing a visual monitoring result.

The invention relates to the technical field of oil field geological prediction, in particular to an oil field geological parameter intelligent prediction system based on machine learning, which acquires static geological data and environmental data in real time through a data acquisition module, and performs noise reduction, normalization and cleaning on the acquired data through a data preprocessing module, so as to obtain an oil field geological parameter prediction result. The feature extraction module adopts an XGBoost model and a long-short-term memory network model to process static features and time sequence data respectively. And the model optimization and self-adaption module dynamically adjusts model parameters according to real-time feedback data by using a reinforcement learning algorithm so as to ensure the accuracy and adaptability of a prediction result. The visualization module provides visual display of a prediction trend, a geological data prediction value and a risk indicator, and helps an operator to make a decision based on data driving. According to the method, the prediction precision of the oil field geological data can be effectively improved, the adaptability to environmental changes is enhanced, and a scientific basis is provided for oil field management and production optimization.

The invention provides a dynamic multi-link intelligent management and scheduling system, and relates to the technical field of network communication. According to the system, real-time monitoring, dynamic management and transmission data scheduling of a network link can be realized, and the problems of low bandwidth utilization rate and insufficient transmission efficiency in the prior art are solved. The method comprises the following steps: firstly, acquiring and monitoring state information of each link in real time through an intelligent agent technology below a link layer; and secondly, the system performs link admission control according to real-time monitoring data by using a dynamic regulation rule method, and dynamically judges whether a new relay link needs to be established and provides an optimal relay node selection when the data transmission bandwidth between the two nodes is insufficient. And finally, multi-link transmission data scheduling is carried out by adopting a mode of combining deep reinforcement learning and a heuristic scheduling algorithm, and the bandwidth utilization rate is improved to the maximum extent. On the whole, an efficient and intelligent network link management scheduling scheme is provided through combination of methods of intelligent proxy, dynamic regulation rules, deep reinforcement learning and the like, and the utilization rate of network resources and the quality of data transmission are effectively improved.

The invention provides an inertia optimization method for electric heat gas energy transport channel coordination, and relates to the technical field of energy transport channels, and the method comprises the steps: building a fluid flow state and vortex intensity mapping relation model, which is used for predicting the possible vortex conditions under different working conditions; and based on a prediction result, a genetic algorithm is adopted to optimize a sensor arrangement scheme, and the most comprehensive flow state information is obtained by using the least sensors. According to the method, pipeline vibration safety is considered, a vibration monitoring and valve adjustment limiting mechanism is set, in addition, a tradeoff model of energy loss and transportation efficiency is further constructed, an optimal adjustment strategy is solved by applying a multi-objective optimization algorithm, finally, an eddy current suppression effect evaluation model is established, quantitative evaluation and strategy optimization of a control effect are achieved, and the control effect is optimized. Through the comprehensive application of a series of innovative methods, the precise inhibition of the vortex in the fluid transportation process and the remarkable improvement of the transportation efficiency are realized, and meanwhile, the safe operation of a pipeline system is ensured.

The invention provides a digital office data synchronization and sharing method and system based on cloud computing, and relates to the technical field of cloud computing, and the method comprises the steps: building a distributed data synchronization system on a cloud computing platform, and detecting the change of digital office data on each terminal device through a real-time monitoring mechanism; when data change is detected, triggering an incremental synchronization algorithm, and only synchronizing the changed data part; historical version information of each data change is recorded by using a block chain-based distributed account book technology, and data version tracking and backtracking are realized; constructing a role-based access control system, and allocating data access permissions to different users; a real-time collaborative editing function is realized, and multiple users are allowed to edit the same digital office data at the same time; establishing a data sharing log system, and recording data access and operation behaviors of each user; and a machine learning algorithm is utilized to analyze a user behavior mode, and related digital office data is automatically recommended.

The invention discloses a centrifugal deep sea rare earth collecting mine car, a deep sea rare earth collecting system and a mining method.The centrifugal deep sea rare earth collecting mine car comprises a mining car body, the mining car body is provided with a centrifugal collecting mechanism, and the centrifugal collecting mechanism comprises a first annular flow channel and a first driving mechanism; and the first driving mechanism is connected with the first annular runner. According to the centrifugal deep-sea rare earth collecting mine car, the centrifugal collecting mechanism is adopted for collecting deep-sea rare earth, negative pressure is formed through the first annular flow channel, the deep-sea rare earth and seawater can be sucked upwards to be collected, deep-sea rare earth slurry can be efficiently collected, the collecting efficiency is improved, and the collecting mode is particularly suitable for collecting the deep-sea rare earth; the defect that a traditional mining vehicle cannot be used for deep-sea rare earth collection is overcome, and development of the deep-sea rare earth collection industry is facilitated.

The invention discloses an automatic stereoscopic warehouse goods sorting system and method, and relates to the technical field of intelligent sorting, the system comprises an input layer, a storage layer, an execution layer, a control layer and a management layer, the input layer comprises a bar code RFID scanning system, a machine vision identification system, a sensor and an input terminal, the storage layer comprises a three-dimensional goods shelf, a tray goods shelf system and a storage management system, the execution layer comprises a stacking machine, a conveying belt, a sorting robot and a carrying vehicle, and the control layer comprises a programmable logic controller, a monitoring and data acquisition system and a communication network. According to the automatic stereoscopic warehouse goods sorting system and method, efficient cooperative work among equipment can be achieved, and the goods processing speed and efficiency can be improved.

The invention provides an intelligent heat supply operation and maintenance scheduling system integrating inspection and repair. The intelligent heat supply operation and maintenance scheduling system comprises a monitoring data acquisition module used for acquiring temperature, flow and pressure data of a water supply end and a water return end; the real-time monitoring and early warning module is used for monitoring the running state of the heat supply pipe network in real time and quickly positioning the fault occurrence position; the intelligent routing inspection path planning module is used for planning an optimal routing inspection path according to the layout of the heat supply pipe network and the actual fault condition; the fault first-aid repair resource optimization configuration module is used for formulating a resource configuration strategy according to the planned optimal inspection path and the requirement of the maintenance task; and the user interaction and authority management module is used for providing a user interface, facilitating the operation and query of the user, and simultaneously sending a notification to the user in time to inform the maintenance progress and result. According to the invention, the optimal planning emergency repair route can be given according to the priority of the emergency repair task in combination with the actual condition of the road network, pipe network faults are efficiently eliminated, and the completion quality of the emergency repair task is improved.

The invention relates to the technical field of plastic mold drilling, in particular to plastic mold numerical control precision drilling equipment and a using method thereof.The plastic mold numerical control precision drilling equipment comprises a base, a fixed table is movably installed at the top of the base, a rack is fixedly connected to the top of the base, a movable table is installed on the rack, and a pushing plate is slidably connected to the bottom of the movable table; a collecting assembly and a drilling assembly are arranged on the pushing plate; according to the device, firstly, the area around a drilling point can be comprehensively shielded through the collecting assembly, the same contact surface can be autonomously formed according to the uneven surface of the plastic mold, and the waste intercepting effect is further enhanced; and the drilling assembly is matched, during drilling, instant smashing of filiform plastic waste is achieved, efficient collection and treatment of the waste are achieved, air is blown into the material blocking and collecting barrel, on one hand, negative-pressure material suction is assisted, the waste collecting effect is improved, and on the other hand, synchronous cleaning treatment is achieved when the drill bit rotates and ascends.

The embodiment of the invention discloses a microscope objective optical system, a microscope objective and a wafer detection microscope, and relates to the field of optics. The system is sequentially provided with a first lens group, a second lens group and a third lens group along the same optical axis from an image space to an object space; wherein the third lens group has positive focal power and is used for collecting light beams; the second lens group has negative focal power, the first lens group has positive focal power, the second lens group and the third lens group are used for correcting and compensating the optical system, and the second lens group comprises at least two lenses made of materials with different dispersion coefficients. The second lens group and the third lens group with correction and compensation functions are arranged, so that the optical system can meet the microscopic requirement of an ultra-wide working spectrum range, and the imaging quality is ensured.

The invention relates to a meteorological environment information crawling and analyzing method based on a large language model, belongs to the technical field of meteorological data acquisition and analysis, and solves the problems that the efficiency of acquiring meteorological data by depending on manual data search is low, and unstructured data cannot be fully utilized. Comprising the steps of obtaining a meteorological environment information crawler demand, a meteorological environment information analysis demand and a meteorological environment information report generation demand, and constructing a meteorological environment information crawling cue word, a meteorological environment information analysis cue word and a meteorological environment information report generation cue word in a grading manner based on respective preset cue word templates; performing data crawling on the data source website based on the meteorological environment information crawling cue word and a preset meteorological environment information extraction cue word, and performing similarity measurement on a crawling result and an ERA5 data set to obtain meteorological environment information; and generating cue words based on the meteorological environment information analysis cue words and the meteorological environment information report, and performing information analysis on the meteorological environment information to obtain a meteorological environment information analysis report.

The invention provides a marine environment multi-source data fusion processing method and system, and relates to the field of data processing, and the method comprises the steps: carrying out the fusion of marine environment data and edge node data, so as to obtain a fused data set; dividing the fused data set into fragmented data sets, and preliminarily distributing the fragmented data sets to each heterogeneous node to obtain a distribution result; setting performance evaluation indexes, performing performance testing on each heterogeneous node according to the performance evaluation indexes, and recording the performance indexes of each node when processing different fragment data sets to obtain a test result; analyzing a test result, and identifying an abnormal node and an abnormal fragment data set; and performing optimization according to the abnormal nodes and the abnormal fragment data set to obtain an optimization result. According to the method, data distribution is optimized through data fragmentation and dynamic allocation, and the processing efficiency is improved.

The invention relates to the technical field of environmental science and engineering, and discloses a regional carbon emission accounting system, which adopts a plurality of sensors and intelligent equipment to collect carbon emission data in real time, and transmits the data through wireless communication. And the data integration module performs cleaning and standardization processing on the carbon emission data, and evaluates the reliability of a data source based on a fuzzy rule to form an accurate comprehensive data set. And the dynamic evaluation module analyzes the comprehensive data set by adopting a machine learning algorithm to generate evaluation feedback, and feeds back the evaluation feedback to the intelligent monitoring module to optimize the monitoring strategy and the data acquisition frequency. And through a visual display module, an analysis result is presented in a chart form, user interactive data query and retrieval are supported, and scientificity and real-time performance of carbon emission management are improved. The system provides an important basis for policy making and effective emission reduction while improving the carbon emission accounting precision, and assists in coping with global climate changes.

The invention belongs to the technical field of water conservancy gates, and discloses a water conservancy project flood prevention gate, method and system.The water conservancy project flood prevention gate comprises two barrier gate cement foundations, an anti-blocking mechanism and a cleaning mechanism are arranged on the two barrier gate cement foundations, and the anti-blocking mechanism comprises door bodies arranged on the sides, close to each other, of the two barrier gate cement foundations; an electric gate is slidably mounted on the inner wall of the front face of the gate body, anti-blocking assemblies are arranged at the tops of the two barrier gate cement foundations correspondingly, the electric gate is driven by a motor to ascend and descend, and automatic reciprocating motion of a cleaning strip on a sliding frame is achieved through meshing transmission of a tooth groove and a gear and the combined design of a connecting rod mechanism; according to the filter screen cleaning device, impurities attached to the filter screen are effectively removed, the filter screen is prevented from being blocked, the cleaning efficiency and the automation degree are greatly improved, frequent manual intervention is not needed, the labor intensity is reduced, meanwhile, potential risks caused by blocking of the filter screen are reduced, and it is guaranteed that water flows smoothly.

The invention relates to the technical field of data processing, in particular to a cloud computing-based software development application data processing method, which comprises the following steps of: collecting original data generated by software development application from a plurality of heterogeneous data sources in real time through a distributed data acquisition module; cleaning, filtering and formatting the original data, removing noise data and redundant information, and generating a standardized data set; the standardized data set is fragmented according to a preset fragmentation strategy; analyzing the stored data in real time by using the parallel processing capability of cloud computing to generate an analysis result; a result storage and updating step; a data visualization step; a security and authority management step; and an anomaly detection and fault-tolerant processing step. According to the method, the data processing speed and the throughput of the system are improved, and the requirement for real-time feedback in an agile development environment is met.

The invention discloses a webpage content security processing method based on a knowledge graph, and relates to the technical field of webpage content security. The webpage content security processing method based on the knowledge graph comprises the following specific steps: data collection: collecting webpage related internet content data covering texts, images and videos from an internal network of a network service provider, an enterprise or an organization and a website server. According to the method, comprehensive monitoring and analysis of webpage content security are realized, potential security threats, abnormal modes or association relationships in webpage content can be deeply mined by utilizing the reasoning capability of the knowledge graph, including representation learning, association analysis, event tracing, behavior prediction and the like, so that the security threat identification accuracy is improved, and the security threat identification efficiency is improved. And a visual and easy-to-understand visual interface is provided for safety personnel, so that the safety personnel can respond quickly and take corresponding safety measures.

The invention relates to the field of photovoltaic technology, and discloses a photovoltaic solar module capable of preventing dust deposition, which comprises a mounting frame, a plurality of photovoltaic panels are arranged on the surface of the mounting frame, vertical columns are arranged at four corners of the lower part of the mounting frame, a rainwater collecting mechanism is arranged on the rear side of the mounting frame, Z-shaped fixing plates are arranged on two sides of the mounting frame, and the Z-shaped fixing plates are arranged on the mounting frame. The upper side of the Z-shaped fixing plate is provided with a first sliding rail, the length of the Z-shaped fixing plate is larger than that of the mounting frame, the upper side of the first sliding rail is provided with a first electric sliding block, a cleaning mechanism is arranged between the first electric sliding blocks, and the lower side of the mounting frame is connected with a sewage collecting assembly through a buckle assembly. The cleaning part is driven by the electric sliding block to efficiently clean the photovoltaic panel, and the power generation efficiency is guaranteed; the rainwater collecting mechanism reasonably utilizes rainwater, and the cleaning cost is reduced; the sewage collecting assembly prevents pollution of dirt to the ground, is stable in assembly connection, convenient to operate and maintain, capable of prolonging the service life and integrally efficient and practical.

The invention discloses an automatic auditing system and method for road engineering completion settlement. The system comprises a data acquisition and integration module; a data preprocessing module; a settlement index construction module; an intelligent auditing engine; an abnormity early warning and tracing module; a settlement result management module; and a data analysis and optimization module. The auditing method comprises the following steps: S1, collecting and integrating multi-source settlement data; s2, big data preprocessing; s3, constructing a settlement auditing index system; s4, performing intelligent automatic auditing; s5, performing abnormal early warning and tracing; s6, managing settlement results; and S7, performing big data driving optimization. According to the invention, multi-source data intelligent integration, full-process automatic auditing, abnormal accurate tracing and dynamically optimized big data driven settlement auditing can be realized; the method is applied to whole-process management of road engineering completion settlement, and data-driven intelligent auditing and continuous optimization control are realized in the process.

The utility model is suitable for the technical field of mine side slope monitoring equipment, and provides mine side slope monitoring equipment based on radar and GNSS, comprising a bottom plate, the top of which is provided with a vertical plate and two side plates; the rotating shaft is rotationally mounted on the sides, close to each other, of the two side plates and is provided with a rotating seat; the supporting column is fixedly mounted on the rotating seat; the shell is fixedly mounted at the top end of the supporting column; the leveling mechanism is arranged on the bottom plate and used for adjusting the angle of a shell of the supporting column; the monitoring alarm mechanism is arranged on the shell and is used for monitoring the landslide displacement of the mine slope; and the power supply mechanism is arranged on the shell and is used for supplying power to the equipment. The mine side slope monitoring equipment based on the radar and the GNSS can monitor and alarm landslide displacement of the mine side slope, is suitable for mine side slopes with different gradients, and has a function of cleaning the photovoltaic panel, so that black dust attached to the photovoltaic panel is prevented from influencing the power generation efficiency of the photovoltaic panel.

The invention discloses an intelligent data acquisition method and equipment based on a front-end monitoring SDK (Software Development Kit) and a medium, and relates to the technical field of front-end monitoring of Web applications. The method comprises the steps that when a Web application page is loaded, a front-end monitoring SDK script is introduced through an external file label, and preset data collection logic in the front-end monitoring SDK script is loaded; wherein the data acquisition logic comprises performance data acquisition logic, user behavior data acquisition logic and error log acquisition logic; when a Web application page runs, intelligent data acquisition is carried out through a preset idle time data scheduling mechanism in a front-end monitoring SDK script; the method comprises the following steps: determining to-be-uploaded data through a preset incremental data uploading mechanism in a front-end monitoring SDK script, and intelligently compressing the to-be-uploaded data; and dynamically selecting a data uploading strategy based on the real-time network condition so as to upload the compressed to-be-uploaded data to a data server.

The invention discloses a control method of an ocean energy comprehensive power generation system. The system comprises a wave power generation module, a solar power generation module and a wind power generation module, the wave energy power generation module comprises a spine, a floating plate and a lever arm, and the floating plate is connected with the lever arm and can move along with waves so as to drive the lever arm to drive a power generator in the spine to generate power. The method comprises the following steps: acquiring current environment parameters in real time; according to the current environment parameters, the included angle between the spine and the wave direction is adjusted with the purpose of maximizing the comprehensive power generation efficiency of the wave energy power generation module, the solar power generation module and the wind energy power generation module. The power generation efficiency of the wave energy power generation module, the solar power generation module and the wind energy power generation module is comprehensively considered, and the working state of the power generation system is adjusted in time, so that energy can be efficiently collected and converted from the marine environment for the multi-energy power generation system combining wave energy, solar energy and wind energy, and the energy utilization efficiency is improved.

The invention provides a multi-path street lamp data acquisition and analysis method based on a centralized controller, relates to the field of intelligent measurement, and realizes intelligent monitoring and fault detection of running states of street lamps through group control, centralized data acquisition and dynamic analysis of the street lamps. According to the method, grouping is carried out based on a distribution network connection relation of street lamps, switching operation of each street lamp group is controlled through a centralized controller, and operation data such as current, voltage and load are collected. And for the street lamp which operates abnormally, through multiple times of data acquisition and trend analysis, an accurate fault detection result is generated. The invention further provides a method for dynamically adjusting the grouping strategy and the delay time, and the accuracy and the detection efficiency of data acquisition are improved. According to the invention, comprehensive monitoring of the operation state of the street lamp in a complex environment can be realized under the condition that the hardware cost is limited, and the method is especially suitable for management and maintenance of an urban intelligent lighting system.