50results about How to "Reasonable planning" patented technology

The invention discloses a vehicle body model topological structure repair processing method, system and device, and belongs to the technical field of simulation model pretreatment. An existing vehicle body model repairing scheme needs to consume a large amount of time, omissions are prone to occurring, and therefore the repairing precision of a vehicle body three-dimensional model is affected. According to the vehicle body model topological structure repairing processing method, geometric features of a vehicle body model are analyzed, and topological error data are obtained based on topological features of the vehicle body model in the creation process; according to the topology error data, the vehicle body model can be accurately repaired, so that the surface of the vehicle body model is coherent and has no redundant patches, and a vehicle body simulation model suitable for computational fluid dynamics simulation is obtained, so that automatic, efficient and accurate simplification processing of the vehicle body model can be realized, the repairing precision of the vehicle body model is improved, and the vehicle body model repairing efficiency is improved. And the repairing efficiency is greatly improved, and the vehicle body model repairing scheme can be popularized and used easily.

The invention provides an intelligent planning and budget evaluation method for high-standard farmland construction in hilly and mountainous areas. The method comprises the following steps: collecting current live data of a to-be-planned area; establishing an evaluation model of each planning index for predicting and evaluating each planning index value after different planning schemes are implemented, integrating the values into a multi-objective optimization algorithm, generating a plurality of different planning schemes based on live data, and finding an optimal planning scheme through iteration; values of decision variables are extracted from the optimal planning scheme, layer parameters are adjusted, and optimized planning maps are obtained and fused to obtain a final planning map; and generating an image set according to the final planning image, providing data for a metering center, and generating a budget file according to the data of the metering center and the budget template. According to the method, scientific, reasonable, efficient and accurate planning of the high-standard farmland in the hilly and mountainous areas is realized through the evaluation model and the multi-objective optimization algorithm, and meanwhile, budget management and resource allocation of the farmland construction project are performed in combination with budget evaluation.

The invention provides a rotating speed self-adaptive control method and device for a marine diesel engine, and relates to the technical field of rotating speed control, and the method comprises the steps: carrying out the ship route fitting according to the shipping scheduling of a diesel engine driven ship, and obtaining a voyage sequence; carrying out load change calculation to obtain a local load sequence; taking the voyage time consumption constraint as a distribution constraint, carrying out voyage time consumption distribution optimization, and obtaining a local time consumption sequence; performing navigational speed optimization to obtain a target navigational speed sequence; performing diesel engine rotating speed coupling calculation according to the target navigational speed sequence to obtain a diesel engine rotating speed control sequence; and performing self-adaptive dynamic regulation and control on the diesel engine driven ship by adopting the diesel engine rotating speed control sequence. The technical problems that in the prior art, the rotating speed of the diesel engine is adjusted by crew according to experience, a refined automatic control mechanism is lacked, and the change of ship load environment conditions cannot be dynamically responded, so that the operation efficiency and the energy consumption of the whole voyage are difficult to be optimal are solved.

The invention relates to the technical field of coating equipment, in particular to a camouflage coating spraying device and intelligent construction equipment. The camouflage paint spraying device comprises a spraying gun which is installed on the base frame, communicated with paint raw material liquid and used for spraying the paint liquid and forming a spraying range. And the movable frame is mounted on the base frame in a sliding manner and forms a shielding surface capable of adjusting the angle of the shielding line. The movable driving part is mounted on the base frame, the output end is connected with the movable frame, and the movable driving part is used for driving the movable frame to quantitatively slide. According to the spraying mode, overlapping spraying is not needed, a coating with a special thickness is not needed to cover the color of the lower layer to prevent bleeding, meanwhile, construction is convenient, the construction period cannot be prolonged, use of paint can be greatly reduced, and therefore the cost is reduced. Manual operation is not needed, and construction damage is avoided. Three-dimensional simulation construction, overall construction, observation and modification can be carried out in advance, and overall adjustment of the camouflage pattern is facilitated.

The invention relates to an aircraft overspeed alarm system and an alarm method, and the system comprises an alarm processing device, an atmosphere data system, an undercarriage control system, a flap control system and a signal alarm device which are mutually crosslinked, and the atmosphere data system sends the current indicated airspeed of an aircraft to the alarm processing device in real time; the undercarriage control system sends an undercarriage state signal to the alarm processing device in real time, the flap control system sends an airplane flap state signal to the alarm processing device in real time, and the alarm processing device judges the current configuration of an airplane according to the undercarriage state signal and the flap state signal. And the alarm processing device judges whether the aircraft is overspeed according to the current configuration and the current indicated airspeed of the aircraft, and sends an overspeed signal to the alarm device for overspeed alarm.

The utility model relates to the field of unmanned aerial vehicle connecting devices, and discloses an unmanned aerial vehicle modularized quick connecting device which comprises an unmanned aerial vehicle body, a plurality of vehicle arm clamping grooves are formed in the upper portion of the periphery of the unmanned aerial vehicle body, a circular truncated cone is fixedly arranged at the upper end of the unmanned aerial vehicle body, and a top cover is arranged on the periphery of the circular truncated cone in a threaded and sleeved mode. The multiple vehicle arm clamping grooves are each provided with a vehicle arm module in a clamped mode, and the outer ends of the multiple vehicle arm modules are each fixedly provided with a bearing block. According to the utility model, the modules of the device are arranged in a clamping manner, bolts are not needed for fixation, rapid connection is realized, the stability is good, the modules are communicated through wires, and the sizes of the clamping joints of current transmission, the propeller module and the load module can be ensured to be unchanged while rapid connection is realized; and equipment of different specifications and types is modularly designed, and rapid and stable connection is performed, so that the application scene of the unmanned aerial vehicle is expanded.

The invention relates to the technical field of nuclear power station welding seam detection, in particular to a measuring device and a measuring method for nuclear power station fillet welding seam nondestructive testing, the measuring device comprises a ruler plate, a sliding ruler and a stepped sliding groove, the main body of the ruler plate is a pentagon formed by cutting one corner of a square, and the inclined edge and the adjacent edge of the pentagon are arranged at 135 degrees; two sides, adjacent to the bevel edge, of the ruler plate are provided with stepped sliding grooves, the two stepped sliding grooves are perpendicular to each other in the same plane, the two stepped sliding grooves are in limited sliding connection with two sliding rulers respectively in the length direction, the opposite ends of the two sliding rulers abut against welding corners on the two sides of a T1 or H1 fillet weld respectively, and a marking line is carved at the outer side end of each sliding ruler. The ruler plate is provided with scales at the edges of the two stepped sliding grooves. The invention provides the measuring device and method for measuring the special fillet weld of the nuclear power station.

The invention discloses a radiotherapy planning method and system based on biological optimization, and the method comprises the steps: carrying out the fusion of a positron emission computed tomography (PET) image and a computed tomography (CT) image, carrying out the sketching of a biological target region according to the threshold value of a developer standard uptake value (SUV), and meanwhile, carrying out the sketching of an endangered organ; setting physical constraints for the biological target region and the organ at risk, and performing primary optimization to obtain a primary dose result; setting biological constraints for the biological target region and the organ at risk based on the primary dose result; and constructing an objective function containing a biological constraint penalty term and a physical constraint penalty term, and obtaining a final radiotherapy plan through iterative optimization. According to the method, a biological target region is used for replacing a traditional target region, a tumor region is depicted finely, a plan optimization model combining biological constraint and physical constraint is used, the dose coverage of the target region can be ensured, meanwhile, the dose of a crisis organ is reduced, and finally a plan meeting clinical requirements is generated.

The invention discloses a grid-based multi-soil layer slope yield acceleration calculation method and system, and belongs to the technical field of geotechnical structure stability simulation. An existing geotechnical structure stability analysis scheme does not consider a multi-soil-layer structure, is not suitable for a multi-soil-layer side slope and cannot accurately calculate the earthquake yield acceleration. According to the grid-based multi-soil-layer slope yield acceleration calculation method, the most dangerous slope sliding surface of a certain multi-soil-layer slope and corresponding yield acceleration data are obtained by constructing a slope digital simulation unit, a hydraulic coupling unit, an arc sliding surface calculation unit, the most dangerous slope sliding surface and an acceleration calculation unit; therefore, the geological characteristics of the multi-soil-layer slope structure can be fully considered, and it is ensured that the obtained most dangerous sliding surface conforms to the actual situation. Meanwhile, the hydraulic coupling effect is considered, so that the anti-seismic slope stability of the water retaining building can be accurately analyzed, and accurate simulation calculation of the yield acceleration can be achieved.

The invention discloses a permanent magnet motor direct torque control method and system based on model prediction and a medium, and belongs to the technical field of permanent magnet synchronous motor control. According to the permanent magnet synchronous motor direct torque control method based on model prediction, two-phase current of a permanent magnet synchronous motor is processed by constructing a Clarke transformation model, a flux linkage and torque model, a voltage vector optimization model, a switching time calculation model, a cost function minimization model and a three-phase inverter control model, a space voltage vector is determined, and the direct torque of the permanent magnet synchronous motor is obtained. And switching action information of a switching tube is obtained and is used for controlling bus voltage to be input into the permanent magnet synchronous motor, so that the permanent magnet synchronous motor is driven, and direct torque control of the permanent magnet synchronous motor based on model prediction is completed, and therefore, the switching state of a switch can be controlled to be optimal, and torque pulsation is effectively reduced; therefore, the system operation efficiency is effectively improved, the system stability is improved, the switching loss is reduced, and the scheme is scientific, reasonable and feasible.

The invention provides a sewage plant integrated energy system planning method, computer equipment and a medium, and relates to the field of sewage plant integrated energy system modeling planning. The method comprises the steps of collecting original data of a to-be-calculated integrated energy system, constructing a maximum access capacity calculation model for determining the integrated energy system in the sewage plant, inputting the original data into the maximum access capacity calculation model, solving the model by adopting an NSGA-II algorithm to obtain a group of Pareto frontier solutions, and calculating the maximum access capacity of the integrated energy system in the sewage plant according to the Pareto frontier solutions. According to the method, alternative schemes are sequenced through a multi-criterion decision analysis method, the scheme with the highest sequence is selected as the final maximum access capacity scheme, a model calculation and optimization algorithm is combined, efficient planning of the energy system of the sewage plant is achieved, economic cost and energy self-sufficiency rate can be better balanced, planning is more reasonable, and the method is suitable for large-scale popularization and application. And the energy utilization efficiency is improved.

The present invention discloses an automatic driving collision detection method based on a directional bounding box, which relates to the technical field of automatic driving. Firstly, relatively reliable obstacle bounding box (OBB) data is obtained in real time from a vehicle perception system; secondly, a planned candidate trajectory is obtained from a vehicle trajectory planning module and discretized, and a vehicle OBB bounding box is created for each discrete point; thirdly, a distance between the center of the vehicle and the center of the obstacle is preliminarily calculated to clarify whether the two are absolutely safe (no collision will occur); finally, a separation axis test is performed on obstacles and vehicles with possible collision to determine whether a collision occurs, and the collision risk is calculated based on the shortest distance between the two, so as to make the next decision for the unmanned driving system. The present invention improves the adaptability, safety and accuracy of the automatic driving vehicle and the surrounding environment by analyzing the collision between dynamic obstacles and static obstacles.

The present invention provides a method, system and readable medium for network transmission of low-orbit satellite imaging data, the method comprising: converting the satellite dynamic network topology into multiple static topology sets to obtain a spatiotemporal evolution graph model; constructing the objective function of the satellite imaging data network transmission model and determining the constraints; solving the local optimal solution in each time slot according to the time slot division, and then merging the local optimal solutions in each time slot as the optimal solution of the final objective function; wherein, for the local optimal solution in each time slot, it is divided into connection plan construction solution and data transmission solution, and the data transmission solution is solved based on the connection plan construction solution result. When transmitting a large amount of imaging data for low-orbit satellites, this scheme can reasonably plan limited resources to ensure that the imaging data is transmitted to the ground station as much as possible, thereby ensuring the integrity and effectiveness of the data.

The present invention discloses a method for optimizing the location path of a battery swap cabinet for electric bicycles in a takeaway delivery scenario, including S11, determining the problem objectives and constraints; S12, determining the symbolic representation of parameters and variables; S13, establishing a mathematical model; S21, determining the main problem; S22, determining the pricing sub-problem; S31, encoding and evaluating the solution; S32, initialization phase design; S33, branch and bound method phase design; S34, column generation method phase design; S35, label algorithm phase design. When optimizing the location path of a battery swap cabinet, the present invention considers the impact of multiple parking lots and battery swap cabinet capacity design on the location path strategy from the perspective of practical applications, constructs a battery swap cabinet location path optimization model with the goal of minimizing total cost, and uses an improved branch pricing algorithm to solve the optimization model.

The invention discloses a tempered glass cover one-time forming manufacturing method which comprises the following steps: melting raw materials for producing glass into glass feed liquid through a glass melting furnace, shearing the glass feed liquid into glass feed liquid with corresponding weight through a servo shear according to the size of a glass cover, feeding the glass feed liquid into a pressing machine through a glass feed channel, and performing one-time pressing to obtain a required glass cover prototype; the concave surface is polished with natural gas to be smooth; a reverse manipulator is used for taking the glass cover prototype subjected to fire polishing from the pressing machine mold to a cup supporting mold, and after a laser machine is used for drilling holes, natural gas is used for fire polishing of a convex surface to enable the surface to be smooth; feeding the glass cover prototype into a tempering fan for tempering molding; and S4, cooling after molding and tempering, and inlaying a steel ring to obtain a finished product. A glass cover prototype can be rapidly produced, a tempered glass cover is processed through a fire polishing tempering process, the finished product quality is good, the raw material utilization rate is greatly improved, the energy consumption is reduced, the cost is greatly reduced, the production efficiency is improved, different specifications can be produced according to needs, and the size is stable.

The invention discloses a high-energy-load park electricity consumption prediction method, and the method comprises the steps: obtaining a to-be-predicted time period which comprises a plurality of time points; collecting first data corresponding to the electricity consumption of the high-energy-load park in a historical time sequence, wherein the first data comprises electricity consumption data and a related influence factor sequence; according to the first data and a historical time sequence, performing normalization processing to generate a sample set, and training the sample set to obtain a power consumption prediction model of the high-energy-load park; and inputting the to-be-tested time period into the high-energy-load park electricity consumption prediction model to obtain the high-energy-load park electricity consumption at each time point in the to-be-predicted time period. According to the prediction method provided by the invention, the prediction accuracy is improved, the power utilization safety of the park is ensured, and the situation of power shortage or excess is avoided.

The invention discloses a composite denitrification starting bacterial agent as well as a preparation method and application thereof, and belongs to the field of water pollution control. The method is used for rapidly removing nitrogen oxides in a high-salt degradation-resistant water body low-temperature environment. The microbial inoculum is prepared by compounding three functional strains, namely, pseudoarthrobacter coldtolerant LH-LT-1, petroleum terrestrial bacillus LH-HF0022 and LH-SA-1 (alkaline halophilic bacteria LH-SA-1), wherein the three functional strains are respectively a pseudoarthrobacter coldtolerant LH-LT-1 and a petroleum terrestrial bacillus LH-HF0022. The composite starting microbial agent can tolerate extreme conditions, can activate a denitrification path within 2 hours by adding 3-4 kg / m < 3 > of the composite starting microbial agent at the low temperature of 4 DEG C, and strengthens B / Clt; the method is suitable for scenes of pharmaceutical wastewater, mariculture tail water and the like, and has the advantages of high efficiency, rapidness and low cost.

The present invention relates to a typical day extraction method (K-MIMLP) based on optimization, which comprehensively considers the key factors affecting the planning results in the design boundary, including extremeness, cumulativeness and morphology, so that the accuracy of the optimization results is much higher than the typical day extraction method commonly used at present. It mainly includes the following steps: 1) Collecting 8760h of original time series, including cooling load, heating load, electric load, renewable energy output, etc.; 2) Standardizing the data, this patent adopts z-score standardization; 3) Eliminating extreme days (each day with an attribute reaching the annual peak is considered to be an extreme day); 4) Setting the number of typical days, target weights, and constraint parameters in sequence; 5) Adding the extreme days that have been eliminated again after reaching convergence; 6) Outputting the typical day weight; 7) Using peak index, cumulative index, and morphological index to evaluate its accuracy.

The present invention relates to the field of computer graphics and geographic information science and technology, and specifically discloses a method for unconstrained patrol path planning of a drone with multiple target points, comprising the following steps: S1, obtaining patrol point sample data; S2, constructing a TIN triangle network through patrol points; S3, determining an initial reference triangle; S4, searching for triangles based on the reference triangle by the adjacent principle; S5, judging the proximity relationship between the searched triangle and the reference triangle, and determining the search result triangle; S6, when the search result triangle covers all patrol points, the search is completed; S7, merging the initial reference triangle and the search result triangle to obtain the planning result of the patrol path. The unconstrained patrol path planning method of a drone with multiple target points of the present invention can reduce the planning difficulty of the drone patrol path under unconstrained conditions and improve the planning efficiency of the drone patrol path under unconstrained conditions.

The invention discloses a new energy access-based power distribution network planning method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining node data, line data, operation data, new energy basic data, network frame cost data and environmental pollution data of a to-be-planned power distribution network; constructing a power distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; performing calculation according to the node data, the line data, the operation data, the net rack cost data and the environmental pollution data to obtain comprehensive loss cost; solving the power distribution network planning model to obtain power distribution network optimization parameters by taking the minimum comprehensive loss cost as a target under the constructed power grid power flow constraint, power grid voltage constraint, branch current constraint and newly-added network frame line constraint; and planning the to-be-planned power distribution network according to the power distribution network optimization parameters. By implementing the method, the comprehensive loss cost of the power distribution network is effectively reduced, so that the structure of the power distribution network is planned more reasonably.

This utility model discloses a chassis structure and a gearbox cleaning and oil change machine. The chassis structure includes a shell, a support member, and a mounting plate. The support member is disposed within the shell and connected to the inner wall of the shell; along the vertical direction of the shell, the support member can isolate the interior of the shell into a first mounting cavity and a second mounting cavity. The mounting plate is disposed in the first mounting cavity, one end of which is fixedly connected to the support member, and the other end is fixedly connected to the bottom of the shell; along the horizontal direction of the shell, the mounting plate can isolate the first mounting cavity into a third mounting cavity and a fourth mounting cavity; the mounting plate has a mounting surface, which, together with the inner wall of the shell, forms the third mounting cavity, and the mounting surface is used to install the power module and the piping module. This chassis structure can prevent the piping module from interfering with other components, thus making the piping module wiring neater and simpler. Workers can accurately locate the installation position and path, reducing installation difficulty and time costs.

The utility model discloses a composite sensor chip technology verification test tool comprising a cover body and a base body, the cover body and the base body are connected in a sealing manner, a sealing cavity is arranged between the cover body and the interior of the base body, the cover body comprises a gas path joint, one end of the gas path joint is embedded into one end of a front cover in a sealing manner, the base body comprises a base body main body and a small base body, the inner side of the other end of the front cover is connected with the outer side of one end of the base body in a sealed mode, the outer sides of the small base bodies are connected with the base body in a sealed mode, the number of the small base bodies is two, and the PCB is installed between the ends, close to the gas circuit interface, of the two small base bodies. A spring needle base is installed between the base bodies connected with the close sides of the two small base bodies in a sealed mode, a spring needle is installed on the spring needle base, a bonding pad of the PCB is connected with one end of the spring needle, and the other end of the spring needle is connected with an output line. According to the utility model, the chip and the small substrate are fixed together through the unstressed adhesive tape, so that the influence of stress generated by bonding on the output of the chip can be avoided, and the real performance of the chip can be obtained.

The invention discloses a magnetic substance filtering device and process suitable for lithium battery raw material production, and relates to the technical field of precision filtering equipment, the magnetic substance filtering device comprises a buffer pool, a precision filter, a sludge pool and a clear liquid pool, the precision filter comprises an upper cylinder, a micro-filtration membrane pipe group and a lower cylinder, the upper cylinder is provided with a clear liquid return valve and an overflow pipe, and the lower cylinder is provided with a filter screen; the lower cylinder is provided with a pumping liquid inlet pipe and a backflushing return pipe, a liquid inlet return valve is arranged on the lower cylinder, a plurality of end openings, extending into the lower cylinder, of the pumping liquid inlet pipe are arranged in a cross flow mode, the microfiltration membrane pipe set comprises a connecting part and a membrane pipe, and a plurality of disturbing protrusions are distributed on the peripheral wall of the membrane pipe. The water flow impact direction of the pumping liquid inlet pipe and the direction of the membrane pipe are arranged in a staggered mode, a supporting mechanism is arranged on the membrane pipe, the membrane pipe is a porous expanded polytetrafluoroethylene membrane, and an auxiliary backflushing assembly is arranged in the lower cylinder body. The whole device is reasonable in layout and precise in filtration, weakly magnetic and insoluble impurities in the solution are effectively reduced, and the purity of the lithium battery raw material solution is improved.

The invention relates to an unmanned aerial vehicle autonomous obstacle avoidance method and system based on dense vision and an unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicle obstacle avoidance. After dense visual predicted collision time of each frame of image and a corresponding unmanned aerial vehicle predicted flight state are obtained based on the image frame sequence by applying a first network model, the dense visual predicted collision time of each frame of image is converted into relative collision time; inputting the normalized relative collision time and the corresponding predicted flight state of the unmanned aerial vehicle into a second network model to obtain a plurality of candidate points of each frame of image, selecting optimal track points from the candidate points of each frame of image in an inverted order according to a shooting time sequence, sequentially connecting the optimal track points to obtain an obstacle avoidance path, and outputting the obstacle avoidance path to the unmanned aerial vehicle; the problems that in the prior art, unmanned aerial vehicle obstacle avoidance is large in calculation amount, low in efficiency and incapable of being practically applied are solved.

The utility model discloses a machine tool with a tray feeding and discharging unit. The machine tool comprises a machine tool body, a workbench, a material taking and discharging mechanical arm and a machining main shaft. The trays are used for containing workpieces and can be placed in a stacked mode, the feeding and discharging unit is arranged on the outer side of the lathe bed and used for achieving feeding and discharging by transferring the trays, and the feeding and discharging unit comprises a conveying line transversely extending to the outer side of the lathe bed from the lathe bed; the conveying line is used for conveying trays containing workpieces to be machined to the inner side of the lathe bed and conveying trays containing machined workpieces to the outer side of the lathe bed from the inner side of the lathe bed, and a feeding platform and a discharging platform are arranged on the two opposite sides of the conveying line. The conveying line is adopted to extend to the outer side of the lathe bed so that an independent feeding and discharging unit can be conveniently established, an operator conducts feeding and discharging on the outer side of the lathe bed, and contact with stains and sewage possibly generated on the lathe bed is reduced. The conveying line is integrated on the machine tool body, but only the conveying line is arranged on the front side of the workbench of the machine tool body, so that the space of the machine tool body can be further compressed, and the workshop space occupied by the machine tool is reduced.

This invention relates to a CPSS system, control method, and application based on cloud-edge collaborative control. The system includes a physical layer, an information layer, and a social layer. The physical layer collects user electricity consumption information and power generation information from power generation equipment, uploads the information to the information layer, executes dispatch instructions, and feeds back the execution results to the information layer. The information layer receives electricity consumption and power generation information, processes and calculates the information using cloud-edge collaborative technology, performs decision simulation based on the calculation results, generates dispatch instructions and guidance instructions, and sends them to the physical layer and user layer respectively. It also optimizes the simulation decisions based on the execution results fed back from the information layer and user layer. The social layer includes operators and users. Operators execute guidance instructions to adjust user electricity consumption behavior and feed back the execution results to the information layer. Through cloud-edge collaborative technology, the computing pressure on the cloud is reduced, and the supply relationship between users and operators can be quickly resolved.

The invention relates to the technical field of urban planning, and discloses an urban landscaping planning method and system based on object recognition, and the system comprises a regional analysis system, an object recognition system and a planning system. The regional analysis system comprises a defense film analysis module used for collecting defense film data and a questionnaire analysis module used for setting a demand questionnaire and collecting filling data of the demand questionnaire; the object identification system comprises a structure identification module, a project identification module and a demand identification module. The structure identification module is used for identifying a green land association structure in the target area; the project identification module is used for importing a planning file and identifying a planning index in the planning file; the demand identification module is used for counting and analyzing greening demands of residents and obtaining resident intention indexes; the planning system includes a zoning module for delineating an optimization region and a staging module for generating planning suggestions. According to the method, urban greening projects can be reasonably planned, and perfect and reliable data reference can be provided for greening resource allocation.

The invention discloses a multi-device key distribution method, system and device based on quantum random numbers, and belongs to the technical field of electric power internet of things. According to the method, an electric power Internet of Things control model, an edge key generation model, an equipment registration model, an equipment authentication model and a key distribution model are constructed, the equipment is registered by using a quantum random number of an amplified spontaneous emission source based on an erbium-doped fiber, and rapid authentication of any Internet of Things equipment is completed by using key information in a registration stage. According to the method, the Internet of Things equipment is authenticated, and then group key distribution is carried out on the authenticated legal equipment, so that rapid authentication of the Internet of Things equipment can be realized, rapid distribution of the group key can be realized, the method is suitable for rapid and safe information exchange between the Internet of Things equipment accessing the edge gateway in the electric power Internet of Things, and the scheme is scientific, reasonable and feasible. Furthermore, the method provided by the invention can be suitable for a scene in which a large number of requests need to be quickly processed, and is beneficial to quick distribution of the group key.

The invention relates to a circuit length calculation method and system based on a digital twinborn model, and the method comprises the steps: building a digital twinborn model based on the physical optical cable information of a communication network; optical cable length information is received through the digital twin model; obtaining an upper layer bearing resource relation according to the data bearing relation; according to the upper layer bearing resource relation and the optical cable length information, recursively calculating to obtain circuit length information; and updating the circuit length information to the digital twin model to complete circuit length calculation. According to the invention, the operation condition of the long-distance transmission network can be simulated, the lengths of the transmission system and the transmission circuit in the long-distance transmission network are calculated, and the communication efficiency and reliability are improved.

The invention discloses a BIM construction simulation method and device based on live-action fitting, equipment and a medium, and the method comprises the steps: determining the position of a fitting modeling base point of a BIM model in response to an obtained design drawing; acquiring inclined image data of an actual construction environment, and generating a three-dimensional point cloud model; modeling a BIM model at the base point position by using the three-dimensional point cloud model to obtain a fitting model; and making a construction simulation animation by using the fitting model. According to the method, fitting of the terrain live-action data of the actual construction site and the BIM proposed engineering project can be completed.