656results about How to "Solve the cost" patented technology

The invention discloses a CCER forestry carbon sink project development system based on artificial intelligence technology monitoring, and relates to the technical field of carbon sink monitoring and optimization. According to the CCER forestry carbon sink project development system based on artificial intelligence technology monitoring, space-time estimation is carried out on CCER forestry carbon sink project data through the deep learning model, and the dynamic change of the carbon sink amount is accurately predicted. Spatial features are extracted through a convolutional neural network, time sequence data are analyzed in combination with a long-short-term memory network, and a carbon sink prediction model is constructed. And through statistical analysis and a spatial interpolation algorithm, carbon sink quantity change is monitored in real time, an abnormal trend is identified, and early warning is provided. Based on a mixed integer linear programming algorithm, forest land resource allocation and vegetation types are optimized, a carbon sink optimization scheme is generated, and carbon sink benefit maximization is promoted. And through an intelligent carbon sink management scheme, sustainable ecological development and green and economic popularization are assisted.

The invention provides a feature-enhanced advertisement service scene image generation method. The method comprises the following steps: S1, training data set preparation: collecting and preprocessing advertisement and e-commerce picture data sets; s2, selecting and initializing a basic model: selecting an appropriate stable diffusion large model as the basic model, and carrying out initial testing on the basic model; s3, Lora model training: training a Lora model on the basis of the stable diffusion large model; s4, model integration: integrating the trained Lora model parameters into a stable diffusion large model to realize characteristic enhanced image generation; and S5, generating and optimizing an image. According to the method, a customized feature enhancement model is efficiently trained at low cost, and then the model is integrated to a diffusion model to realize an image generation method of an advertising service scene, so that the problems of deficiencies in feature extraction and personalized generation of a traditional method and the problems of low efficiency and large resource consumption in fine adjustment of a large model are solved.

A dynamic micro-service migration and route redirection method based on topology awareness comprises the following steps: S1, acquiring cloud computing data center and edge server resource information, an application request stream set and an initialized mirror image deployment matrix in a dynamic scene, and dividing time slot-based input request stream features; s2, in each time slot, a multi-mirror-image preliminary deployment scheme of the micro-service is obtained in a marginal gain optimal mode, and a node routing scheme is redirected according to a mirror image deployment matrix of a physical server node; and S3, according to the resource cost, the multi-mirror-image preliminary deployment scheme and the node routing scheme, screening out topology dependence pairs with abnormal bandwidths in a request stream, and based on topology perception, executing migration operation for micro-service mirror images on server nodes of links with abnormal bandwidths to obtain an optimal joint decision of micro-service deployment and request routing. According to the method, topology-aware micro-service mirror image migration and online redirection probability routing are realized in a dynamic cloud computing data center scene.

According to the welding process parameter recommendation method using the knowledge graph to retrieve the enhanced large model, the welding process knowledge graph is constructed, multi-source heterogeneous welding knowledge is stored in the graph, and effective management and reuse of the welding knowledge are achieved; meanwhile, through user feedback and verification, the welding process knowledge graph can be continuously updated and perfected, and continuous accumulation and iterative optimization of knowledge are achieved; the welding process knowledge graph is used as an external knowledge base to retrieve and enhance the large model, and accurate and comprehensive welding process related knowledge can be provided for the large model to serve as a reasoning basis, so that the illusion problem of the large model is effectively relieved; according to the method, intelligent recommendation of the welding process parameters is realized, personalized analysis can be carried out according to specific requirements of the user, welding process parameter suggestions meeting user expectations are quickly generated, the efficiency of welding process parameter recommendation is effectively improved, and the problems of strong expert experience dependence and relatively high cost in process parameter recommendation are solved.

The invention relates to the technical field of metal materials, and provides a medium-and-high-entropy aluminum alloy performance prediction method, system and method and a medium, and the method comprises the following steps: obtaining a characteristic data set for medium-and-high-entropy aluminum alloy performance; constructing an MLP prediction model, and obtaining an optimal hyper-parameter combination of the MLP prediction model through ESOA; training the MLP prediction model according to the feature data set and the optimal hyper-parameter combination; and predicting the performance of the medium-high entropy aluminum alloy according to the trained MLP prediction model. According to the method, the advantages of the ESOA and the MLP prediction model are combined, the accuracy of performance prediction of the medium-high entropy aluminum alloy can be effectively improved, the time and experiment cost can be reduced, the prediction cost and the calculation amount can be reduced through the powerful calculation capacity of the MLP prediction model, the prediction precision and the generalization capacity of the model are enhanced, and the method is suitable for popularization and application. The method is suitable for performance prediction of the medium-high-entropy aluminum alloy material.

The invention relates to a rapid self-calibration method for field maintenance of a water quality sensor, and belongs to the technical field of water quality monitoring, and the method comprises the steps of starting the water quality sensor, recording initial data, collecting actually measured data, calculating an autocorrelation function, calibrating and adjusting, verifying a calibration result, and recording and reporting. Calibration parameters are dynamically adjusted in combination with on-site environment data, and fault pre-judgment is performed by utilizing machine learning, so that rapid self-calibration without a standard solution is realized, dependence on the standard solution is reduced, the calibration process is simplified, the problem of difficulty in on-site calibration of the water quality sensor is solved, and the accuracy of on-site calibration of the water quality sensor is improved. The method has the advantages of simplicity and convenience in operation, no need of standard solution, adaptability to field environment, real-time monitoring performance and self-adaptability.

A nozzle embedded type 3D printing device for a thermosetting wood-plastic composite material belongs to the technical field of 3D printing, and comprises a rack, and an extrusion movement mechanism, a powder laying mechanism, a powder bed mechanism, a printing platform movement mechanism and a binder feeding system which are arranged on the rack, and the extrusion movement mechanism is fed through the feeding system. The printing efficiency of existing printing equipment can be improved, the manufacturing and maintenance cost of the existing equipment is reduced, the accuracy and consistency of a printing structure are ensured, and printing of a high-precision complex structure is achieved; the provided equipment combines the advantages of extrusion type printing equipment and a powder bed structure, the requirement of single extrusion printing for the formability of extruded materials is met, controllable printing of large-flow, high-viscosity and large-layer-thickness printing shapes and precision is achieved, the equipment is suitable for various types of binder materials, the variety and size range of powder bed materials is large, and the equipment is suitable for large-flow, high-viscosity and large-layer-thickness printing. And the rapid part forming machining requirements of wide material application range, large forming size and high part strength are met.

The invention relates to a direct-current circuit breaker based on a thyristor and an on-off method of the direct-current circuit breaker, and belongs to the technical field of direct-current middle-high voltage power system fault protection. The direct-current circuit breaker comprises a main switch branch, a current transfer branch, a voltage-limiting energy consumption branch and a pulse commutation loop, the direct-current circuit breaker is connected with a power system in series, and the main switch branch is connected with the current transfer branch. Two nodes connected in series are respectively marked as Q1 and Q2, the main switch branch and the voltage-limiting energy consumption branch are connected in parallel through the Q1 and Q2, one ends of secondary sides of two high-frequency transformers in the pulse commutation loop are respectively connected to the Q1 and Q2, and the other ends of the secondary sides of the two high-frequency transformers in the pulse commutation loop are respectively connected to two ends of the current transfer branch. The problem that in the prior art, a large number of pulse charging and discharging loops are configured for meeting the fault large-current breaking requirement, and consequently the size and cost are increased is effectively solved.

The invention relates to the field of waterproof sealing materials, and discloses a composite high-weather-resistance rubber waterstop which is composed of an outer layer, a middle layer and an inner layer. The outer layer contains 3%-8% of nano titanium dioxide, 2%-5% of nano zinc oxide, 50%-70% of a rubber matrix and 1%-3% of an ultraviolet light absorber, and the total proportion of the outer layer is 10%-20%. The middle layer is composed of 70%-85% of EPDM, 5%-10% of carbon fiber and 5%-10% of plasticizer, and the total proportion of the middle layer is 60%-75%. The inner layer is a dynamic covalent bond rubber material and contains 5%-10% of a vulcanizing agent and 1%-3% of an antioxidant, the rubber material accounts for 80%-90%, and the inner layer accounts for 15%-25% in total. Through a multi-layer composite structure, a dynamic covalent bond self-repairing material and an optimized vulcanization process, the comprehensive performance of the water-stop belt is remarkably improved, and particularly the durability and the service life of the water-stop belt in a long-term exposure environment are improved.

The invention discloses a plant disease identification method and system based on unsupervised category incremental learning, and a storage medium, relates to the technical field of plant disease identification, and aims to solve the problems that an existing deep learning model cannot meet the application requirements of real-time updating and optimization of the model, the timeliness is poor, and the efficiency is high. And the problem of failure of the class incremental learning strategy when the new class data is not labeled by the label exists. Comprising the following steps: S1, dividing a data set into category sets of a plurality of stages according to categories; s2, performing interpolation between the image of the current task and the random image uniformly sampled and selected from the cache region of the old category data by using a hybrid playback algorithm to generate a synthetic sample; s3, constructing a SimSiam model which comprises two identical neural network branches and shared parameters of the two branches, constructing a loss function based on the negative cosine similarity of the two network branches, and training the SimSiam model in multiple stages; s4, evaluating the performance of the model based on a KNN algorithm; and S5, classifying the plant diseases by adopting the trained SimSiam model.

The invention discloses an energy efficiency optimization method and system for an irrigation area, a storage medium and electronic equipment, and relates to the field of intelligent irrigation. The method comprises the steps that crop information and soil information of all sub-areas in an irrigation area are obtained, and the irrigation area is communicated with branch pipelines of all the sub-areas through a main pipeline; for any sub-region, according to the crop information and the soil information, determining the irrigation amount and the irrigation priority required by crops in the sub-region; according to the irrigation amount and the irrigation priority corresponding to each sub-region, a first irrigation plan of a connected region is generated, the connected region is composed of at least two sub-regions, and the first irrigation plan comprises an irrigation mode for irrigating crops in each sub-region in the connected region in different time periods. By implementing the technical scheme provided by the invention, the overall energy efficiency optimization of the irrigation system can be realized.

The invention provides an evaluation method of a long document retrieval enhancement generation large model, and relates to the technical field of data processing, the method comprises the following steps: constructing an automatic question answering strategy based on a focus segment; constructing an evaluation data set, and processing the evaluation data set based on an automatic problem strategy to obtain an optimal evaluation data set for generating a large model by aiming at long document retrieval enhancement; and performing evaluation on the basis of an optimal evaluation data set for generating the large model by aiming at long document retrieval enhancement. According to the method, the problems that a long document question and answer data set is difficult to construct and an evaluation method aiming at a long document retrieval enhancement generation large model system is lacked are solved.

The invention belongs to the technical field of cable manufacturing, and discloses a large-section cable for vehicle end bridging, which sequentially comprises a conductor layer, an insulating layer, a shielding layer and a sheath layer from inside to outside, the shielding layer comprises a forward winding type braided shielding wire and a reverse winding type meta-position aramid fiber, the braided shielding wire is formed by twisting a plurality of strands of metal alloy, and the sheath layer is arranged between the conductor layer and the insulating layer. The meta-position aramid fiber adopts stranded meta-position aramid fiber filaments as reverse winding weaving filaments, the sheath layer adopts high-temperature hot drying tunnel vulcanization extrusion type silicone rubber, the temperature of a high-temperature section of a drying tunnel is not lower than 400 DEG C, the vulcanization time is not less than 1 minute, and the meta-position aramid fiber is embrittled and cracked until carbonization failure due to the high temperature of the high-temperature section of the drying tunnel. The cable is suitable for production of a winding shielding layer of a large-section cable for vehicle end bridging with silicone rubber as an insulating layer and a sheath layer, and through introduction of reverse winding meta-position aramid fibers, on the basis of not influencing the use of the whole product, the product structure is further stabilized, and the use stability and safety of the product are ensured.

A continuous induction quenching device for two ends of an automobile push rod is used for manufacturing the automobile push rod. Two conveying lead screws are installed in the middle of the quenching machine tool, the head ends of the conveying lead screws are in butt joint with mistake-proof feeding devices above the conveying lead screws, inductors are arranged on the two sides of the middle sections of the conveying lead screws and connected with variable vibration devices and heating power sources, blanking grooves are formed in the tail ends of the conveying lead screws, and quenching liquid grooves are installed below the conveying lead screws. A spiral groove of the conveying lead screw is matched with the diameter of the rod portion of the push rod, and the ball head end and the ball socket end of a discharging port of the mistake-proof feeding device are matched with a ball head and a ball socket at the two ends of the push rod respectively. According to the invention, simultaneous quenching of the ball head and the ball socket at the two ends of the push rod can be realized, the problems of low efficiency and overlarge cost input caused by separate quenching of multiple devices in the prior art are solved, wrong quenching, re-quenching and missing quenching in the machining process are avoided, and high dependence on personnel skills and operation attention is avoided; quenching efficiency of the ball head and the ball socket at two ends of the push rod can be improved, product quality can be guaranteed, and manufacturing cost can be reduced.

The invention belongs to the technical field of power cost measurement and calculation, and particularly relates to a multi-type adjustment resource response cost measurement and calculation and economy analysis method. Comprising the following steps: S1, carrying out multi-type adjustment resource response cost calculation; s2, establishing a multi-type adjustment resource economy optimization configuration model considering the whole life cycle cost; s3, economic analysis of adjustment resource response in different scenes is carried out; according to the method, for typical adjustable electrical loads including an electric vehicle load, an air conditioner load and an electrolytic aluminum load, response characteristics of multiple types of adjustment resources are analyzed, and a response cost measuring and calculating method is provided; analyzing cost influence factors in the whole life cycle of the typical adjustable electrical load, designing an adjustment resource response model considering the whole life cycle cost, and proposing an economic optimization configuration model; and multi-scene economy analysis is carried out for typical scenes, supply-preserving scenes and consumption-preserving scenes of wind and light loads, and response cost and economic benefits of multi-type adjustment resources in multiple scenes are measured and calculated.

The utility model relates to the field of engineering machinery, and discloses a feeding mechanism for a screw extruder, which comprises a bottom box and a shell, and a height adjusting mechanism is arranged at the top of the bottom box; the height adjusting mechanism comprises a stepping motor, a fixing frame and a hinge frame, the bottom wall of the stepping motor is fixedly connected into the bottom box, the output end of the stepping motor is fixedly connected with a flange rotator, the right end of the flange rotator is rotationally connected with a lead screw, and the right end of the fixing frame is rotationally connected into the fixing frame. According to the utility model, the height adjusting mechanism is arranged, so that the problems that the production efficiency is reduced and the cost is increased due to the limitation of the capability of the extruder to adapt to feed ports with different heights or different models can be solved, and the stepping motor is started through the control end, so that the feeding of the screw extruders with different heights can be effectively improved; and the working efficiency is improved.

The utility model discloses a glue filling device and an inductance glue filling wire, the glue filling device comprises a glue filling mechanism, a vacuumizing mechanism and at least one reserved station, the glue filling mechanism is used for filling glue to a target object; the vacuumizing mechanism is used for vacuumizing the target object; the reserved station is used for additionally arranging a glue filling mechanism or a vacuumizing mechanism; wherein the glue filling mechanism and the vacuumizing mechanism are sequentially connected with each other by taking a reserved station as a reference, and both the glue filling mechanism and the vacuumizing mechanism are of movable modular structures, so that the glue filling mechanism or the vacuumizing mechanism can be quickly removed or changed in position. According to the glue pouring device and the inductor glue pouring line, the movable modular structure enables the number and position of the glue pouring mechanisms and the vacuumizing mechanisms to be adjustable, different glue pouring processes of different products are met, and compatibility is extremely high; the problems of cost waste and land occupation caused by repeated construction of a production line are solved, and the production efficiency is effectively improved.

The invention discloses a log data storage method and device, equipment and a medium. The log data storage method comprises the following steps: acquiring log access frequency sample data; determining a log access frequency prediction model according to the log access frequency sample data and the time sequence pre-training model; determining the predicted access frequency of the target log based on the log access frequency prediction model and the log data with the to-be-predicted access frequency; and determining a storage format and a storage device type of the target log according to the predicted access frequency of the target log, and storing the target log according to the storage format and the storage device type of the target log. According to the technical scheme, the storage efficiency can be improved, the storage cost can be reduced, and meanwhile the system performance is optimized.

The utility model relates to the technical field of frequency converters, in particular to a frequency converter protection circuit used for input open-phase and relay pull-in detection, which comprises a relay pull-in detection circuit, an input open-phase detection circuit and a signal synthesis circuit. The input end A of the NAND gate is connected with the relay pull-in detection circuit, the input end B of the NAND gate is connected with the input open-phase detection circuit, and the output end Y of the NAND gate is connected with the controller. Compared with a traditional detection circuit which only has high-level / low-level signals, the technical problems that in the prior art, two detection functions occupy two signal channels, the circuit is difficult to design, and cost is high can be effectively solved, and the advantage that the states of the two detection functions can be expressed only through the same signal line is achieved.

The invention relates to the technical field of wastewater treatment, and discloses an aluminum oxidation wastewater treatment system and method, and the system comprises a tank body, the top end of which is connected with a top cover through a bolt; the crushing feeding assembly is arranged on the top cover and is used for crushing large-particle impurities in the sewage; the stirring assembly is arranged in the tank body and is used for stirring sewage in the tank body; the temperature control assembly is arranged on the outer wall of the tank body and is used for assisting in purifying the sewage; the filtering assembly is arranged at the bottom end of the tank body and is used for filtering the sewage subjected to pH regulation again. Through cooperation of internal structures of the crushing feeding assembly, large-particle impurities in sewage entering the hopper are crushed, meanwhile, the amount of sewage entering the tank body is controlled, and the problems that due to impurity blockage, system operation is unstable, and the sewage treatment efficiency is reduced are solved.

The invention discloses a plane and vertical combination-based Tesla valve tidal river network hydrodynamic reconstruction method, which comprises the following steps of: 1, designing a main seawater upstream channel in a tidal river network into a Tesla valve structural form on the form of a river plane; secondly, in the vertical direction of the river channel, a Tesla valve-like structure is adopted, and a directional flow guide structure is arranged at the position close to a riverbed, so that when the water flow flows towards the ocean, the flow line is smooth, and when the water flow traces upwards from the ocean to the river channel, the water flow resistance is increased; structures similar to Tesla valves are installed at the inflow and upstream positions between the ocean and the river channel, movable assemblies such as gates are not used, salty tide upstream is effectively inhibited, meanwhile, water connectivity is not blocked, the influence on fish migration and ecosystem connectivity is small, and the method is suitable for large-scale popularization and application. High-concentration salt-containing water at the bottom is more effectively blocked, and one-way flow of water and pollutant discharge in a riverway of a tidal river network area are promoted.

The invention relates to a kitchen waste transfer station optimization site selection method and service platform considering double objectives, and the method comprises the steps: carrying out the random coding of alternative transfer station candidate points, generating a first site selection configuration code array, and enabling the first site selection configuration code array to comprise a plurality of first codes; based on a preset improved NSGA-II algorithm, performing non-dominated solution sorting and genetic evolution operation on the first code, and generating a mixed site selection configuration code array; performing new population iteration on the mixed site selection configuration coding array by utilizing an elitist retention strategy corresponding to an improved NSGA-II algorithm to generate a second site selection configuration coding array with a plurality of second codes; determining fitness corresponding to the second codes, performing non-dominated solution sorting, genetic evolution operation and new population iteration processing based on an elitism strategy on the second codes in the second site selection configuration code array according to the fitness, generating a target site selection configuration code array, and obtaining target codes from the target site selection configuration code array, and obtaining a site selection result.

The invention belongs to the technical field of scramjet engine control, and particularly relates to a semi-physical simulation test platform of a scramjet engine control system, which comprises a fuel supply and control system, an engine simulator system, a flight control simulation system, a sensor simulation system, an upper computer management system and the like. The test platform can provide test equipment support for development (including control law research, control parameter optimization, performance prediction, fault diagnosis and the like) of a scramjet engine control system, and comprehensively examine system matching performance and control performance of key components such as a controller, a fuel pump, a fuel valve and the like. And stable and reliable operation of the scramjet engine control system is guaranteed.

The invention discloses a single cell subtype sample generation method, system, device and medium, and relates to the technical field of single cell subtype sample generation, the method comprises the following steps: obtaining a plurality of omics data; the omics data comprises a single cell genome, transcriptome sequencing expression data, clinical metadata and cell type annotation data; learning a meta-path graph of single-cell RNA sequencing data and clinical metadata through graph network data conversion, and learning representation of nodes and edges on the meta-path graph; a self-adaptive condition graph diffusion convolution model ACGDC model is constructed; inputting representations of nodes and edges into an adaptive condition graph diffusion convolution model through a graph network data conversion module, and sampling new single cell sample seeds in a Gaussian distribution space; decoding the single cell sample seeds to generate a new single cell subtype sample through a condition control sample generation method; according to the method, various high-quality single cell subtype samples can be efficiently generated.

The invention discloses a data-driven calculation method, device and equipment for hydrogen storage capacity of a solid-state hydrogen storage device, and belongs to the technical field of solid-state hydrogen storage. The method comprises the steps that distributed parameters of the solid-state hydrogen storage device are obtained through a multi-physical-field full-coupling model of the solid-state hydrogen storage device, and the multi-physical-field full-coupling model is constructed based on structural characteristics of the solid-state hydrogen storage device; obtaining a dynamic response database of the multi-physics field full-coupling model, wherein the dynamic response database is used for representing a corresponding relation between distributed parameters of the multi-physics field full-coupling model and the hydrogen storage capacity of the solid hydrogen storage device; performing dynamic identification on the multi-physical field full-coupling model through a dynamic response database to obtain an identification model of the solid hydrogen storage device; and inputting the target distributed parameters of the solid-state hydrogen storage device into the identification model, and performing data driving calculation on the target distributed parameters through the identification model so as to output the predicted hydrogen storage amount of the solid-state hydrogen storage device. According to the method, the calculation cost and the solving time can be reduced.

The invention discloses a building power load dynamic regulation and control system, which belongs to the technical field of power utilization of a power system, and comprises a data processing device capable of collecting data and dynamically regulating the operation state of load equipment according to a regulation and control instruction, the data analysis device can process the operation data; the regulation and control scheduling device can generate a regulation and control instruction for regulating and controlling a certain number of load devices in the priority sequence table according to a sequence or an inverted sequence mode through a scheduling algorithm; a load threshold value of the current building and a priority sequence table arranged according to the regulation and control characteristics of load equipment in the current building are further preset in the regulation and control scheduling device; according to the system, dynamic adjustment of the power load in the building can be achieved by adopting a simple algorithm, meanwhile, regulation and control objects of the system are diversified and are not limited to a central air conditioner with a host, and the defects that existing power load regulation and control are high in use cost and single in regulation and control object are overcome.

The invention discloses a wind-solar complementary hydrogen production system and method based on alkaline electrolytic water hydrogen production. The system comprises a photovoltaic power generation unit, a wind power generation unit, a storage battery energy storage unit, an electrolytic hydrogen production unit, a load and a power electronic converter. The photovoltaic power generation unit is electrically connected with the alternating current bus through an AC / DC converter, the wind power generation unit is electrically connected with the alternating current bus through an AC / AC converter, and the alternating current bus is connected with a superior power distribution network through a transformer; the storage battery energy storage unit is electrically connected with the alternating current bus through the AC / DC converter, the load is electrically connected with the alternating current bus through the AC / AC converter, and the electrolytic hydrogen production unit comprises an electrolytic bath, a compressor and a hydrogen storage tank; the problem that a single AEL technology or a PEMEL technology cannot give consideration to response speed and cost is solved, composite hydrogen production is achieved based on the constructed wind-solar complementary hydrogen production system, flexible absorption of wind-solar resources is achieved, and the hydrogen production cost of the system is reduced on the basis of improving the hydrogen production amount of the system.

The invention discloses a flow-state filling material and a preparation method thereof, and belongs to the technical field of building materials. The flow-state filling material is prepared by mixing the following raw material components in parts by weight: 85-95 parts of construction waste recycled redundant soil slurry, 5-15 parts of waterworks tail mud slurry, 40-60 parts of low-quality construction waste recycled aggregate, 5-10 parts of granulated blast furnace slag powder, 3-6 parts of asbestos-free mineral fiber, 1-4 parts of cement, 1-2 parts of industrial byproduct gypsum, 0.3-1 part of bentonite and 0.5-1.5 parts of a water reducing agent. The flow-state filling material is excellent and stable in performance, green resource utilization of the construction waste and the waterworks tail mud is achieved, and the problems that the treatment cost is too high and the environment is polluted possibly caused by the construction waste and the waterworks tail mud are solved.

The invention relates to a system architecture method and a management and control method of a highway self-consistent system, and the method comprises the steps: obtaining the scene load data of a plurality of target regions nearby a highway, the target regions at least comprising a service region, a toll station and a management center; the method comprises the steps of obtaining load data of each target area, determining energy equipment needing to be configured for each target area according to the load data, and finally constructing a topological framework of the expressway self-consistent system based on the configured energy equipment, wherein the equipment comprises new energy configuration equipment, energy storage equipment, hydrogen production equipment, hydrogen storage equipment and a fuel cell. The problems of high cost and environmental influence of a traditional power grid energy supply mode in an expressway scene are effectively solved, and efficient and green energy supply is realized by using new energy and an energy storage technology. Meanwhile, the topological architecture of the system is flexible, dynamic adjustment can be performed according to actual load requirements, the energy utilization efficiency is improved, and reliable power supply in the highway scene is ensured.

The invention relates to the technical field of electric power communication, and discloses an electric power communication equipment inspection system and method and electronic equipment, and the system comprises a fault data analysis module, an operation environment monitoring module, an aging degree calculation module, a key degree evaluation module, a risk scoring zoning module, an inspection strategy updating module and a time module. The electronic equipment and the method correspond to the system. According to the method, the timeliness of the inspection strategy is improved by setting the data period and the strategy period, a data basis is provided for quantifying the aging degree through fault data analysis and operation environment monitoring, and a data basis is provided for quantifying the risk by evaluating the key degree of the electric power communication equipment and combining the aging degree; based on the division of the quantized risk, the scientific step formulation of the inspection strategy is realized, the adaptability of the inspection strategy is improved, the contradiction between the supervision effect and the supervision cost is effectively solved, and the supervision blind area is effectively overcome through the supervision risk change value.