230 results about "Integrated operations" patented technology

The invention discloses a low-carbon optimal scheduling method based on source-grid-load-storage integration, and relates to the technical field of energy scheduling, and the method comprises the steps: obtaining historical power demands, renewable energy power generation, energy storage equipment states and power grid load data based on an environment sensor of a source-grid-load-storage integrated system; obtaining historical time sequence characteristic parameter data of the operation mode of the source-network-load-storage integrated system, and determining an interval vector range of the operation mode of the source-network-load-storage integrated system; acquiring real-time data; obtaining a real-time operation vector matrix; matching degree verification is carried out according to the real-time operation vector matrix and the interval vector range of the operation modes of the source-network-load-storage integrated system, and the operation mode with the maximum matching degree is screened out to serve as a scheduling scheme. According to the invention, through source-grid-load-storage integrated operation mode matching, the scheduling scheme is optimized, and the use efficiency of the power grid load and the energy storage equipment is improved.

The invention discloses an airport group integrated operation management and control system, and the system comprises a data access module which is used for obtaining the operation data of an airport group; the operation resource dynamic management module obtains airport group operation data and optimizes time-space domain resource distribution based on the airport group operation data; the traffic flow conflict early warning module deduces potential conflict early warning of the whole airport group on the basis of airport group operation data and time-space domain resource distribution; the emergency recovery decision module generates a traffic flow recovery strategy based on airport group operation data, the current situation of time-space domain resources and conflict early warning, and performs simulation deduction and validity evaluation on the traffic flow recovery strategy; the visual intelligent management and control platform integrates and operates a resource dynamic management module, a traffic flow conflict early warning module and an emergency recovery decision module. According to the technical scheme of the invention, the method can effectively deal with the delay condition, reduces the disordered airport order, shortens the flight delay time, reduces the waiting time of passengers, and reduces the waste of airport group resources.

The invention provides an intelligent integrated operation and maintenance and fault diagnosis system for a pumped storage power station, and relates to the technical field of energy equipment operation and maintenance, and the system comprises a multi-source data collection and fusion module which is used for collecting and fusing the operation state data of processing equipment; the intelligent fault diagnosis and prediction module is used for carrying out real-time fault diagnosis and prediction on the equipment; the intelligent operation and maintenance decision and management platform is used for carrying out real-time monitoring, operation and maintenance management and decision support on the equipment based on the fault diagnosis and prediction result; and the communication and safety guarantee module is used for guaranteeing communication smoothness and data safety of the system. Multi-source data acquisition and fusion, fault diagnosis and prediction and intelligent operation and maintenance decision and management are innovatively and organically combined, the problems of poor timeliness, data isolation and the like in traditional operation and maintenance are solved, and the diagnosis precision is improved through intelligent operation and maintenance decision closed-loop management and data fusion.

The invention provides a multi-agent collaborative decision-making operation and maintenance platform for an on-cloud electric power information system, which is suitable for integrated operation and maintenance of the on-cloud electric power information system, the operation and maintenance platform is in butt joint with a plurality of different on-cloud electric power information systems, and each on-cloud electric power information system is deployed with a plurality of agents responsible for different basic tasks. The operation and maintenance platform is composed of an operation and maintenance task making module, an agent calling module, a workflow generation module, a collaborative decision execution module and an operation and maintenance report distribution module. According to the operation and maintenance platform, multi-agent collaborative decision-making is realized, so that an operation and maintenance response mechanism is converted from passive discovery to active early warning, an execution mode is upgraded from manual driving to intelligent driving, knowledge management is evolved from scattered storage to structured reasoning, and the operation toughness, adaptability and intelligent level of a cloud electric power information system are comprehensively improved.

The invention particularly relates to an intelligent factory integrated operation management method based on multi-system integration, and relates to the technical field of intelligent factory operation management. Performing intelligent planning and robustness decision making; performing production execution and monitoring; and carrying out equipment full-life-cycle management. According to the method, the limitation of a traditional static plan is thoroughly broken through through a collaborative mechanism of multi-dimensional risk index linkage, dynamic time buffering and a plan chain; on one hand, the DTB performs real-time calculation based on a supply chain risk index, an equipment health index and a process stability index, approaches reference buffer to avoid resource waste when the risk is low, automatically expands to absorb disturbance when the risk is high, and ensures dynamic balance of plan efficiency and disturbance resistance; and on the other hand, the pre-generated plan chain is rapidly triggered when the disturbance exceeds the limit, global rearrangement is not needed, and continuous production can be guaranteed only through local adjustment.

The invention discloses an intelligent precise irrigation and nutrient regulation and control integrated system and method for rice, and particularly relates to the technical field of intelligent agriculture, and the system comprises a multi-mode sensing module, an edge computing node, an intelligent decision module, a water and fertilizer cooperative execution module and a credible monitoring module. Rice rhizosphere and leaf environment data are collected through an underground nano sensor and a canopy multispectral imaging device, data fusion and model reasoning are carried out through edge nodes, an irrigation strategy value is output in combination with a mechanism model and an AI model, and a pulse injection device is controlled to achieve precise water and fertilizer integrated operation. The system supports network disconnection operation and night model updating, and the stability and the self-adaptive capability are improved. According to the method, the environment data acquisition precision and the irrigation decision response speed are improved, the interpretability and robustness of the model are enhanced, the water resource utilization efficiency and the intelligent management level are effectively improved, and the method has wide application and popularization values.

The invention provides a human resource management interaction method, system and device and a medium, and relates to the technical field of human resource management.The method comprises the steps that firstly, organizational structure management, electronic contract signing and employee management functions are unified in a single interface through full-process integrated operation, the time cost of multi-module switching is reduced, one-stop processing is achieved, and the management efficiency is improved; the processing efficiency of the human resource business is improved; secondly, realizing dynamic organization architecture management based on a tree diagram structure, allowing real-time adjustment of a department and post hierarchical relationship, generating a version snapshot with a timestamp, ensuring real-time performance and traceability of data, and avoiding errors caused by a traditional static architecture; furthermore, the electronic contract voucher is directly associated with the employee archive, so that the consistency of contract data, the organization structure and the employee state is ensured, and the data security is enhanced; and finally, related configuration is executed by using the current organization structure version snapshot and the electronic contract certificate, and real-time linkage of organization structure change and employee adjustment is realized.

The invention relates to the technical field of operation and maintenance management, in particular to an information system comprehensive operation and maintenance management platform method and system based on big data, and the method comprises the steps: collecting system operation data of a specified enterprise information system in real time, storing and preprocessing the system operation data, and outputting a system operation data set; performing time axis calibration and fusion processing on the system operation data set, and outputting a multi-dimensional associated data set; establishing a dynamic association model based on the multi-dimensional association data set, monitoring an abnormal condition in real time, and outputting an early warning level; matching a candidate disposal scheme set based on the early warning level; based on a preset screening rule, screening an optimal processing scheme from the candidate processing scheme set and executing the optimal processing scheme; and outputting an execution effect evaluation result of the optimal disposal scheme, and feeding back the execution effect evaluation result to a preset big data platform. The method has the effects of discovering hidden dangers of the equipment in real time and automatically selecting the optimal solution.

The invention discloses a virtual power plant energy management method and system based on an air conditioning load, and relates to the field of energy management, and the management method comprises the steps: obtaining power consumption data and integrated operation information data in a virtual power plant management range, carrying out the statistical division of the operation information data according to an operation rule and a potential distribution model, and carrying out the statistical division of the operation information data; generating a batch monitoring management set; constructing a virtual power plant electric energy transaction framework based on the batch monitoring management set, analyzing an electric power balance relationship between an electric quantity supply and demand difference and a virtual power plant, and outputting an energy scheduling result in a virtual power plant management range; and the air conditioner load data serve as demand response resources, the energy dispatching result is optimized, an air conditioner control issuing instruction is generated, the air conditioner control issuing instruction is recorded and decomposed, and the control state of the air conditioner is output. Through optimal scheduling of the air conditioner load, the demand of the air conditioner load can be reduced in the peak period of power demand, so that the load pressure of the system is effectively reduced, and excessive energy consumption is avoided.

The invention discloses a gas storage integrated operation model construction method and system based on digital and intelligent twinning, and relates to the field of gas storage integrated operation model construction, and the method comprises the steps: constructing a single well IPR and VLP curve; a mode of combining forward pressure regulation and reverse pressure regulation is adopted, a pressure value set of all nodes after pressure stabilization is output, and a preliminary pressure steady-state scheme is formed; an economic value evaluation index function is constructed, and the total daily operation cost of the system under the given gas production rate is evaluated; a comprehensive optimization model based on a neural network is constructed, and injection-production quantity reference values of all wells and target values of all nodes are output; and verifying the stability of the comprehensive optimization model based on the neural network according to the output injection-production quantity reference values of all wells and the target values of all the nodes. The method has the advantages that the physical law of gas storage injection and production, the system pressure balance and the economical efficiency target are deeply fused, and a fast and reliable closed loop from pressure steady-state optimization to an economical optimal decision is achieved.

The invention provides an underground mining, selecting and filling integrated coal gangue filling and replacing section coal pillar method, and relates to the technical field of coal stoping, and the method comprises the following steps: respectively forming a transportation crossheading and an air return crossheading on the left side and the right side of a section coal pillar, and communicating the transportation crossheading with the air return crossheading through a crossheading connection roadway; and according to the serial number sequence, the strips with the serial numbers being even numbers are subjected to stoping and filling in sequence, and then the strips with the serial numbers being odd numbers are subjected to stoping and filling. An odd-even sectional type stoping method is adopted for the section coal pillars, after stoping, filling slurry is used for preparing a chamber to sort coarse coal and coal gangue, the coal gangue is made into coal gangue filling slurry to be filled into the goaf of the section coal pillars, integrated operation of stoping, sorting and filling is achieved, the method can be suitable for an underground stoping area with multiple working faces, coal pillar resources are efficiently recycled, and the mining efficiency is improved. The method has a good application prospect and a wide application range.

The invention provides a digital resource management system and method. The system comprises a digital resource acquisition module, a digital resource processing module, a digital resource management module and a digital resource sharing service module. Aiming at digital resources such as project resources, application resources, data resources, service resources, cloud resources and component resources, the system realizes the functions of one-stop browsing, one-package application, one-account management, integrated operation and maintenance, one-network management and control and one-platform scheduling, and constructs a unified account book, unified service, unified management, unified operation and maintenance, unified scheduling and unified portal of the digital resources. A digital, visual, processized and closed-loop service system, a management system and a support system are established, multi-dimensional and multi-level real-time analysis of digital resources is realized, and mechanism service work is powerfully supported; full-life-cycle management of digital resources is achieved, management is more systematized and comprehensive, the management level and use efficiency of the digital resources are effectively improved, and repeated construction and waste of the resources are avoided.

The invention discloses a family resource optimization system based on artificial intelligence, and the system comprises a family digital twinning layer which is used for constructing a dynamic digital twinning layer which is synchronous with a family physical environment; the global sensing layer is used for connecting a physical family and digital twinning and converting original sensor data into semantic understanding capable of being utilized by the digital twinning; the cognitive decision-making layer is used for reasoning and learning the semantic understanding provided by the global perception layer and generating a digital instruction; and the physical execution and closed loop layer is used for converting the digital instruction into an executable specific action and is responsible for collecting consequences and feedback generated by the action so as to form a complete perception-cognition-action-feedback intelligent closed loop. By means of the family resource optimization system based on artificial intelligence, the problems that current family resources are passive in response, lack of unified scheduling and optimization, low in credibility and the like can be solved, and the intelligent and integrated operation capacity of the family resources is remarkably improved.

The invention is suitable for the technical field of engineering investigation, and provides an engineering investigation digital drilling machine based on the Internet of Things sensing technology and a big data service system.The digital drilling machine comprises a drill tower, a hydraulic standard penetration piece, a slurry pump, an integrated operation table, a double-clamping structure, a power head, monitoring equipment and other assemblies; linkage and data interaction of all the assemblies are achieved through a controller special for engineering machinery. The big data service system covers three aspects of a data architecture, a core algorithm and a security mechanism, the data architecture comprises an edge computing layer and a cloud analysis layer, the core algorithm comprises a drilling efficiency prediction model and equipment health degree evaluation, and the security mechanism comprises data encryption and access control. The big data service system provides intelligent decision support and service for engineering investigation, and the engineering investigation efficiency and quality are effectively improved.

The invention discloses a one-time hole aligning operation type drilling, grouting and anchoring all-in-one machine and a construction method. The drilling, grouting and anchoring all-in-one machine comprises a propelling beam, a bolting and grouting device, a station switching device, a propelling device and a supply device. The bolting and grouting device comprises an anchoring agent spraying pipe. The station switching device comprises a station switching device I and a station switching device II, and the station switching device I can be switched between a drilling state and an anchor rod mounting state; the second station switching device can be switched between the first state that the drill rod hole and the surrounding rock preset hole are coaxial, the second state that the spray pipe hole and the surrounding rock preset hole are coaxial and the third state that the spray pipe hole and the surrounding rock preset hole are staggered simultaneously. The first station switching device and the second station switching device work cooperatively, it is ensured that drilling, anchoring agent injection and anchor rod installation share the same axis positioning reference all the time, seamless connection of procedures is achieved, and equipment displacement or repositioning is not needed in the whole process. The device has the advantages that the construction direction is adjusted at a time, the integrated operation of drilling, anchoring agent injection and anchor rod installation is completed in sequence, and the convenience during single-hole operation is improved.

The invention relates to a coal industry chain operation plan assessment method and device, equipment and a storage medium. The method comprises the steps of obtaining to-be-assessed data; determining an evaluation index of the multi-dimensional evaluation index system; determining an evaluation period, a simulation scene and time constraints, space constraints, occurrence probability and influence intensity related to the simulation scene, and obtaining scene setting parameters; a preset objective weighting method is adopted to calculate the weight of each third-level index, and a TOPSIS multi-attribute decision model is combined to calculate and obtain a comprehensive evaluation result; performing problem analysis based on the comprehensive evaluation result, generating optimization suggestions corresponding to the problems, and obtaining a plan analysis result; and generating a target evaluation report. According to the integrated operation plan evaluation method provided by the invention, automatic acquisition and analysis of index data and report generation can be realized, automation and intelligence of an evaluation process are effectively realized, and evaluation efficiency, accuracy and systematicness of a coal industry chain operation plan are greatly improved.

The present invention relates to the technical field of grey cloth roll production, and specifically to a grey cloth roll positioning, stacking and piling device, comprising a base, a support cylinder seat and a support platform located on the right side of the support cylinder seat being fixedly mounted on the upper end surface of the base, and a material shifting mechanism being provided on the support cylinder seat and the base. The positioning, stacking and piling of a whole row of grey cloth rolls are completed by adopting an integrated operation model of loading, clamping and unloading, which greatly improves the stacking efficiency and stability. In the process of hoisting a whole row of grey cloth rolls, they are squeezed and positioned, so that the gaps between the grey cloth rolls after stacking are reduced, thereby preventing the grey cloth rolls from loosening and deforming to maintain their quality. After each placement of the grey cloth rolls, the grey cloth rolls can be automatically rotated to a mutually vertical state for stacking, thereby realizing continuous stacking and piling operations, and the stability during the clamping process can ensure the accurate loading of each grey cloth roll, thereby improving the operating efficiency through the cooperation of the three, and also significantly improving the safety and equipment reliability.

The invention is suitable for the technical field of communication, and provides a 5G lightweight core network-based computing network integration intelligent scheduling method, which comprises the following steps of: analyzing a computing task and a resource demand vector thereof by acquiring a task demand, computing power and a network resource state, further matching the demand with the resource state, and applying an improved particle swarm optimization or convex optimization algorithm and the like to obtain a computing network integration intelligent scheduling result. Generating an optimal task scheduling strategy, determining a mapping relation between the task and a computing power node and a network path, distributing the task to an edge node for execution according to the strategy, guaranteeing the data transmission efficiency through a UPF local shunting technology, and finally updating a global scheduling model through federal learning iteration based on a task execution result. And a closed-loop scheduling system with continuous optimization capability is formed. Unified management and integrated operation of computing power and network resources are realized, and through a lightweight core network and an intelligent scheduling algorithm, the task time delay is remarkably reduced, and the resource utilization rate is improved.

The invention discloses 3D flatness detection and TRAY disc material receiving integrated equipment which comprises a base, one side of the top of the base is fixedly connected with a first Y-axis KK module, and the output end of the first Y-axis KK module is fixedly connected with a first Z-axis KK module. The invention relates to the technical field of electronic component production equipment, a double-linear motor carrier is adopted to alternately receive and transfer mounted electronic components, in the transfer process, the appearance and planeness of materials are accurately detected, automatic lifting and moving management is carried out on a TRAY disc, and the production efficiency of the electronic components is improved. According to the utility model, materials meeting the standard are automatically collected to the TRAY disc, so that the integrated operation of detecting and collecting the surface-mounted electronic elements is realized, the production space is saved, the equipment cost is reduced, the materials are always kept in an efficient and stable running state in the processes of transferring, detecting and collecting, the problems of wrong transmission, damage and the like of the materials are effectively avoided, and the production efficiency of the surface-mounted electronic elements is improved. Therefore, the production efficiency and the product quality are improved.

The invention discloses an automatic sample analysis system, and relates to the field of medical instruments and information intelligent equipments.The top of the system is provided with an integrated operation part, an operation table is arranged below the integrated operation part, the operation table comprises a sample receiving area, and the sample receiving area comprises a plurality of sets of sample pipe frame receiving positions which are arranged side by side; the first information acquisition unit is matched with the sample receiving area, and the sample tube rack receiving position extends from the front end of the system to the rear end of the system along the depth direction of the system; the invention also discloses a method for loading the sample tube rack to the system, at least one group of sample tube racks loaded with sample tubes can be inserted into the sample tube rack receiving position along the depth direction of the system, and the first information acquisition unit can at least acquire the information of the sample tube rack in the insertion process and transmit the information to the control part; the system is further provided with a second information acquisition unit which is matched with the first information acquisition unit to acquire the sample information. The system is simple and efficient in loading, and information acquisition and identification with higher accuracy can be realized by matching with the arrangement of the dual identification unit.

The invention relates to the technical field of intelligent warehouse management, in particular to a warehouse operation method and system based on storage location and picking path integrated optimization, and the method comprises the steps: building a dynamic storage location distribution optimization model with the minimization of the total space waste value of a whole warehouse as an optimization target based on an initialized storage layout parameter set; performing iterative solution on the dynamic storage location allocation optimization model to obtain an initial tray storage location allocation scheme; according to the real-time order information and the initial tray storage location distribution scheme, generating an optimal order picking path of each order; and carrying out storage location secondary allocation on the remaining material storage location according to the warehouse remaining material storage state after the optimal order picking path is executed to obtain a storage location reallocation scheme, thereby generating a storage location-path integrated operation instruction, and controlling the warehouse management system to operate through the storage location-path integrated operation instruction. According to the invention, through collaborative optimization of the storage location allocation and the picking path, integrated collaborative optimization of the storage layout, the storage location allocation and the picking path is realized.

The invention provides a visual modeling method for a ship pipe network program based on a YOLOv8 target detection technology, and the method comprises the following steps: S1, constructing a human-computer interaction visual interface of a ship pipe network system in the form of an SVG base map and a control position map through employing a WPF interface generation technology; s2, identifying the pipe network elements in the human-computer interaction visual interface by using a YOLOv8 target detection technology, and obtaining an identification result; s3, using a Python optimization algorithm to carry out classification arrangement and model recombination on identification results, generating an architecture model containing pipe network elements and control spatial positions and attribute parameters by a system, and storing the architecture model in a standard CSV file form; and S4, converting the architecture model stored in the CSV file into a mathematical model by using a C # programming language, performing real-time calculation, and outputting a calculation result to a human-computer interaction visual interface. According to the invention, the integrated operation of the ship pipe network system from design to simulation is realized, the design efficiency is obviously improved, and the operation is more convenient.

The invention relates to the technical field of intelligent testing equipment, in particular to coke property intelligent testing equipment which comprises a dust removal fan, two high-temperature furnaces, a feeding temporary storage station, a particle temporary storage table, a multi-axis robot and a rotary drum mounting frame. Through the multi-axis robot integrating the double clamping jaws, the integrated operation of tool transferring and particle grabbing is achieved, material transferring in the whole link from feeding, pretreatment to testing can be completed without manual contact with samples, sample pollution, particle damage and operation deviation caused by manual sorting, weighing and transferring are effectively avoided, and the working efficiency is improved. Meanwhile, the labor cost is greatly reduced, and the stability and repeatability of the testing process are improved; by means of an information interaction structure of the feeding tool and the read-write device, a unique identity label is established for each coke sample, full-life-cycle information of the samples from feeding, preprocessing to final test data can be recorded in an associated mode in the whole process, and the problems that omission is prone to occurring and tracing is difficult in traditional manual recording are solved.

The present invention discloses a collaborative scheduling system and method for the integrated operation of airport clusters. The system includes: an initial planning subsystem that obtains initial scheduling data and calculates the ETA time of each incoming flight arriving at the destination airport and the ETD time of each departing flight based on the initial scheduling data; a single-airport integrated sequencing management subsystem that plans the corresponding runway scheduling plan and flight arrival and departure schedule based on the ETA time and ETD time of each airport's flights; and an airport cluster airspace integrated management subsystem that, with the goal of maximizing the throughput of the airport cluster, amends the runway scheduling plan and flight arrival and departure schedule corresponding to each airport and forms a conflict-free airspace scheduling plan. The present invention realizes the integrated collaborative scheduling of airport clusters by converting the airport cluster integrated scheduling problem into an airspace macro-scheduling model and a single-airport micro-scheduling model, comprehensively considering the flight timing constraints between airports, and realizing the integrated collaborative scheduling of airport clusters.

The invention aims to provide a circulating high and low temperature liquid nitrogen and pulse water injection combined fracturing anti-reflection experimental device and a use method thereof, and belongs to the technical field of dust prevention and control. The experimental device comprises an active water preparation system, a pulse hydraulic system, a true triaxial loading system and a circulating liquid nitrogen stamping system; the active water preparation system comprises a liquid storage tank and a water tank, the pulse hydraulic system comprises a valve module, an information collection module and a water pump, the valve module comprises a ball valve, a one-way valve, a pressure release valve, a needle valve and a high-pressure electric ball valve, and the true triaxial loading system comprises a fracturing platform, an integrated operation table and a sound conversion module. The circulating liquid nitrogen stamping system comprises a gas storage module, a pressurization module and a liquid nitrogen stamping module. The problem that the effect of a coal seam single-phase fracturing method is poor is solved, the coal seam fracturing wetting period is shortened by simulating the fracturing process of pulse active water and circulating high and low temperature liquid nitrogen under different ground stresses, and dust and risk factors in the construction process are reduced.

The application provides a cloud-based industrial equipment multi-task integrated operation and maintenance method and system. The method comprises the following steps: obtaining an operation and maintenance task of an industrial equipment, constructing a multi-task integrated operation and maintenance basic model based on the operation and maintenance task; obtaining multi-modal feature data of the industrial equipment, and presetting a cross-modal feature fusion mechanism based on the multi-modal feature data; training the multi-task integrated operation and maintenance basic model by using a multi-modal cloud joint method based on the preset cross-modal feature fusion mechanism; obtaining a multi-task integrated operation and maintenance large model of the industrial equipment based on the trained multi-task integrated operation and maintenance basic model; and performing multi-task integrated operation and maintenance of the industrial equipment, such as anomaly detection, fault diagnosis and life prediction, based on the multi-task integrated operation and maintenance large model. The multi-task integrated operation and maintenance large model formed by the application significantly improves the operation and maintenance efficiency and reliability of the industrial equipment in a complex scene.

The invention discloses an automatic stacking machine, and belongs to the field of stacking machines. Comprising a belt conveying line, and the discharging end of the belt conveying line is connected with a roller conveying line; a stacking tray is arranged beside the tail end of the roller conveying line, a stand column mechanical arm is correspondingly arranged on one side of the tray, and a mechanical head is integrated at the tail end of the stand column mechanical arm. A storage assembly is arranged on the side of the stand column mechanical arm. And an air blowing assembly and a transmission assembly linked with the mechanical head are integrated in the storage assembly. According to the automatic stacking machine, the storage assembly is integrated with a transmission and air blowing assembly linked with a mechanical head, the problem of electrostatic adhesion of annular paperboards is solved, and abnormal material taking and waste are avoided; lifting and adjusting assemblies are matched to adapt to paperboards of different specifications, accurate grabbing and transferring are achieved through the stand column mechanical arm, manual assistance is not needed, and the cost is reduced; the integrated operation table is convenient to regulate and control, the stacking precision and efficiency are improved, the stacking hidden danger is avoided, and the development requirement of large-scale continuous production of the intelligent manufacturing equipment industry can be efficiently met.

The invention discloses a locomotive sand feeding, sewage discharging and water supplementing integrated operation system and a using method thereof. The device comprises a sand body pumping unit, a sand adding alignment unit used for being automatically in butt joint with a sand adding opening of the locomotive, a sewage discharging and water feeding unit, an electric control cabinet and a reminding display unit. By constructing an integrated information platform, sand feeding, sewage discharging and water replenishing operation field data are presented in front of a manager in a visual form, and the manager is helped to actually know the field condition and comprehensively master equipment state information and data information. Therefore, a manager can make a better decision, and the working efficiency and the equipment perfectness ratio are improved; real data of the previous quartz sand dosage can be provided, and powerful data support is provided for purchase decision making; by predicting the health degree of equipment components, the components can be utilized to the maximum extent, and the accessory cost is saved; and through digital fusion analysis of real-time visual interaction and data acquisition, refined management of related operations is realized.

The application discloses a kind of based on sensor fusion's full-automatic dam slag salvaging pipe control system, belong to the technical field of intelligent operation and maintenance of hydropower station.System includes multi-source perception module, fusion decision module, integrated execution module, safety protection module and man-machine interaction module.Through water level, load, attitude, vision, wind speed, anti-collision multi-sensor fusion, realize environmental full-factor perception, automatically identify floating object type and adapt to water level and attitude balance, complete slag, log cutting, grappling hook salvage, automatic dumping, electric extension and manned safety operation, can realize eight-way movement with dam crane, one machine multiple hole operation.System has multistage safety protection, salvage load is greater than or equal to 1.5t, vertical stroke is greater than or equal to 9m, uses 380V industrial power supply, durable and reliable structure.The application realizes dam slag unmanned, intelligent, integrated operation, high efficiency, strong safety, low modification cost, suitable for various hydropower station floating object cleaning operation and maintenance.

The present application belongs to the technical field of water, wind, light and storage multi-capability complementary risk evaluation, and relates to a kind of fast high-fidelity integrated operation risk evaluation method of watershed water, wind, light and storage. Firstly, the triggering and transmission mechanism of multi-dimensional risk under multiple uncertainty conditions is analyzed, and the risk generation principle is revealed. Secondly, a risk index quantification method based on boundary damage depth is proposed, which can quantify multi-dimensional risk according to the current operating state and boundary conditions, and help the simulation algorithm directly output risk assessment results. A panoramic time series simulation model integrating expert knowledge is constructed. The explicit water-electricity-storage scheduling capability is introduced into the operation simulation framework through expert experience rules, which not only helps to determine the priority of multi-dimensional risk avoidance, but also ensures the interpretability and reliability of the simulation results. The present application also solves the low efficiency problem caused by the introduction of a large number of 0-1 variables to realize the nonlinear curve of water and electricity and the charging and discharging logic of energy storage, as well as the difficulty of identifying the water-electricity-storage scheduling sequence.