743results about How to "Reasonable use" patented technology

The invention discloses a computing task scheduling method and device in a multivariate heterogeneous environment and a medium, and relates to the technical field of parallel computing. The method comprises the following steps: monitoring resource states of various computing resources in a multivariate heterogeneous environment in real time, and quantifying the resource states to obtain corresponding resource information; under the condition that the to-be-processed calculation task is generated in the scheduling task list, performing demand analysis on the to-be-processed calculation task to determine a task demand report; calculating the task demand report and the resource information by using a preset scheduling strategy generation model to generate an intelligent scheduling strategy; according to the intelligent scheduling strategy, various computing resources are called to execute the to-be-processed computing task; and continuously monitoring the scheduling task list and the resource state so as to update the intelligent scheduling strategy corresponding to the to-be-processed calculation task based on the scheduling strategy strategy optimization logic.

The invention provides a high-altitude energy storage monitoring system. The system comprises an environmental data acquisition module, an intelligent temperature control analysis module, an intelligent energy scheduling module, a health monitoring module, a self-adaptive adjustment module and a system optimization module. The invention provides an intelligent and environment-adaptive energy storage system monitoring and maintenance strategy, the temperature control strategy, the energy distribution and the maintenance plan can be dynamically adjusted according to the real-time change of the high-altitude environment, the efficient operation of the energy storage system is realized, and the service life of equipment is prolonged. A sensor technology is used for collecting multi-dimensional environment data, and an intelligent algorithm is combined to monitor the operation state of the equipment in real time, predict the health state of the equipment, optimize energy scheduling and formulate a self-adaptive maintenance strategy, so that the fault risk and the maintenance cost are reduced, and the stable operation of the system in a complex environment is ensured.

The invention relates to the technical field of optimization methods, in particular to an action type model optimization method based on reward feedback, which comprises the following steps of: SI, constructing a multi-level reward function; s2, starting and initializing; s3, observing a current web environment state; s4, executing the action; s5, environment feedback; s6, constructing a Reward model reward signal processing module; s7, reward signal processing; s8, constructing an action evaluation network; s9, action evaluation; s10, updating the strategy; s11, judging whether the task is completed or a termination condition is reached; according to the method, a more comprehensive action feedback mechanism is established, the final reward is considered, the effect of the intermediate action is fully utilized, the action of the intelligent agent is evaluated and fed back more meticulously, the intelligent agent is guided to explore and utilize the environment more reasonably, and the user experience is improved. And an action feedback mechanism encourages the intelligent agent to try more actions which may contribute to realizing the target, and meanwhile, invalid or harmful actions are avoided, so that the exploration of the intelligent agent in the web environment is more efficient.

The invention belongs to the technical field of computing power scheduling, and particularly relates to a computing power distribution scheduling method and system for an edge computing platform, and the method comprises the steps: generating a business pool based on a historical resource request task; constructing a business computing power demand prediction model based on XGBoost, adding the influence factors into the prediction model, generating resource request business prediction output of each node device, updating the business pool according to the prediction output, evaluating the computing power scale required by the resource request business in the updated business pool, and obtaining the computing power demand; according to the computing power demand obtained by each node device, taking energy consumption minimization and response time minimization as targets, carrying out multi-target solution based on an improved firefly algorithm, and obtaining a computing power distribution scheme which enables the energy consumption and the response time to reach the optimal; and allocating schedulable computing power resources in the edge computing platform based on the computing power allocation scheme. According to the method, overload of part of the data centers can be avoided, meanwhile, the overall calculation efficiency is improved, and calculation power resources are reasonably utilized.

The invention belongs to the technical field of power grid big data, and particularly relates to a power grid regulation and control data asset value evaluation method and device, equipment and a medium. According to the method, key factors (data integrity, data diversity, data timeliness, data scale and data relevance) influencing the value of the power grid regulation and control data assets are determined, the weight coefficient of each factor is calculated by using an analytic hierarchy process, and then the value of the power grid regulation and control data assets is calculated. According to the scheme, a unified data value evaluation system is established, and a unified value measurement standard is provided for power grid regulation and control data assets by determining the key influence factors and the weight coefficients. Through data value evaluation, the value and distribution condition of each data asset can be clearly known, and efficient management and reasonable utilization of the data assets can be realized. Meanwhile, through data value evaluation, the potential value of the data assets can be found, and possibility is provided for value increment and achievement of the data.

The invention provides a process for preparing various nutritional ingredients from oats, and relates to the technical field of deep processing of oats. The process comprises the following steps: crushing and sieving oats to obtain oat bran; the method comprises the following steps: extracting oat bran through a supercritical extraction technology to obtain pretreated oat bran and an extract, and carrying out gradient membrane treatment and membrane ultrafiltration on the extract to obtain oat oil; extracting the pretreated oat bran through continuous sectional extraction equipment; after first-stage protein extraction, second-stage dextran extraction, third-stage immobilized enzymolysis and fourth-stage filler decoloration, the materials enter a system balance tank, and membrane separation and concentration are performed to obtain the oat beta-dextran. According to the invention, various nutrient substances such as oat beta-glucan, oat protein, oat oil and the like can be extracted at the same time, the defects in the prior art are overcome, the automation degree is high, and energy conservation and emission reduction are realized.

The invention relates to the field of technical data acquisition, and particularly discloses a data acquisition method and device for an industrial Internet of Things and a storage medium, and the method comprises the following steps: S1, constructing a dynamic sensor network, and collecting the operation data of industrial equipment in real time through a multi-modal sensor; s2, dynamically adjusting a data acquisition frequency # imgabs2 # based on an environment noise coefficient # imgabs0 # and an equipment health index # imgabs1 #; s3, performing hierarchical compression and encryption on the acquired data, and allocating a compression rate # imgabs4 # and encryption strength # imgabs5 # according to data type importance # imgabs3 #; s4, executing load balancing through an edge computing node, and distributing a computing task to an optimal node; and S5, storing the processed data into a distributed database according to spatial-temporal correlation, and generating a multi-copy disaster recovery index. Through dynamic acquisition, intelligent processing, optimized storage and adaptive strategy adjustment, accurate and efficient data acquisition is realized, data security and processing performance are flexibly guaranteed, storage query efficiency and disaster tolerance capability are improved, and storage resources are utilized to the maximum extent.

The invention relates to the technical field of distributed storage, and particularly discloses a distributed storage data self-adaptive load balancing method and system, and the method comprises the steps: distributing data to each node in distributed storage based on a consistent Hash algorithm; key index values of all the nodes are collected in real time, whether the key index values of all the nodes exceed a first set threshold value or not is judged, or whether the response time efficiency of key data obtaining exceeds a second set threshold value or not is judged; if yes, evaluating and sorting the performance of each node in the distributed storage based on an entropy weight method and TOPSIS to obtain a sorting result; positioning nodes with better performance based on a sorting result; migrating the data or the key data under the nodes of which the key index values exceed a first set threshold value to the nodes with better performance; according to the method, intelligent migration of the data to the low-load node is realized, so that the problem of non-uniform data distribution is effectively improved, and the overall performance and reliability of the system are improved.

The invention relates to the field of computer storage, and discloses a solid state disk data prefetching method based on an attention mechanism, which comprises the following steps: S1, collecting access track data of a solid state disk, and performing fixed time window segmentation; s2, related labels are generated according to the content, and the labels are converted into numeric vectors; s3, combining the tag vector with a traditional access mode feature to form a multi-mode feature vector; s4, processing the multi-modal feature vector by using a gating cycle unit network, evaluating the importance of data of different time windows through an attention layer, and calculating a weight; s5, predicting data blocks which may be frequently accessed in the future based on the attention weight and the gated loop unit network output; and S6, according to a prediction result, selecting a prediction result with high confidence coefficient for prefetching. By using the solid state disk data prefetching method based on the attention mechanism, which data blocks may be frequently accessed in the future can be more accurately identified and predicted.

The invention provides an oat green extract and a preparation method thereof, and relates to the technical field of plant extraction. The extraction method comprises the following steps: taking immature oat plants, cleaning and quickly freezing; mixing with sodium chloride, and crushing to obtain oat sections; mixing the oat sections with an ethanol solution, performing ultrasonic extraction, and performing solid-liquid separation to obtain filtrate; and filtering, purifying and freeze-drying the filtrate to obtain the oat green extract. According to the method, the immature oat plants are adopted as extraction objects, the extraction method suitable for the immature oat plants is researched, the problem of plant waste caused by the fact that oats cannot be mature in special areas is solved, local resources are effectively and reasonably utilized, and the economic value of the oat resources is maximized. According to the extraction process, effective components of immature plants are dissolved into a solvent through low-concentration ethanol, low-temperature ultrasonic and freezing wall breaking technologies, the natural activity of the effective components in the oat is not changed in the whole process, and the nutritional value of the oat green can be reserved to a greater extent.

The invention relates to a medical instrument storage information management method and system, and relates to the technical field of information management. The method comprises the following steps: automatically acquiring medical instrument information of a plurality of medical instruments by using an image recognition technology and a multi-dimensional sensor, and preprocessing and standardizing the acquired medical instrument information to obtain preprocessed data; according to the preprocessed data, determining the current optimal inventory of the medical apparatus and instruments; calculating a preferential use index of each medical device according to the preprocessed data; monitoring the current storage environment of the medical instrument in real time, and calculating a corresponding environment risk index; automatically generating a current replenishment suggestion for the medical apparatus based on the historical data of replenishment of the medical apparatus and the prediction model; and according to the optimal stock amount, the preferential use index, the environmental risk index and the replenishment suggestion, optimizing a warehouse management strategy of the medical apparatus and instruments. According to the invention, the efficiency and accuracy of medical instrument warehouse management can be improved.

The invention discloses a pre-accepted work order closed-loop management system, which comprises a sensitive first-aid repair work order automatic research and judgment module, a non-sensitive work order handling module, a pre-accepted work order accurate closed-loop grading management and control module, a closed-loop process management module, a comprehensive auditing module and a visualization module, an intelligent grading management and control rule, a responsibility investigation mechanism, a timestamp technology and the like are embedded into the corresponding module to enhance the disposal effect of the pre-accepted work order; according to the invention, by establishing an online pre-acceptance work order closed-loop management system, sensitive emergency pre-acceptance work orders can be found in time, and the core problems of untimely work order reporting, information blocking, large workload, difficult supervision, difficult management and control, difficult statistical analysis, difficult employee assessment and the like in the existing pre-acceptance work order processing process are solved; and workers are assisted to realize whole-process closed-loop management of processing time node management and control of each link of a pre-accepted work order, accurate order making of sensitive problems, time-limited grading, automatic circulation and the like, and the quality and efficiency of power supply service are improved.

The invention discloses lanthanum-cerium mixed rare earth corrosion-resistant twisted steel with yield strength of 400MPa. The lanthanum-cerium mixed rare earth corrosion-resistant twisted steel comprises the following elements: 0.10 to 0.20 percent of C, 0.25 to 0.80 percent of Si, 0.90 to 1.60 percent of Mn, 0.020 to 0.045 percent of V, 0.003 to 0.010 percent of Ti, less than or equal to 0.010 percent of P, less than or equal to 0.010 percent of S, 0.25 to 0.65 percent of Ni, 0.25 to 0.70 percent of Cr, 0.10 to 0.18 percent of RE, less than or equal to 0.20 percent of Cu, less than or equal to 0.004 percent of O, less than or equal to 0.006 percent of N and the balance of Fe and inevitable impurities. The invention further discloses a production method of the lanthanum-cerium mixed rare earth corrosion-resistant twisted steel with the yield strength being 400 MPa. The production method comprises the working procedures of converter smelting, argon blowing refining, LF furnace refining, continuous casting and rolling, and the lanthanum-cerium mixed rare earth reinforced alloy cored wire and the silicon-calcium wire are fed into molten steel in the argon blowing refining process. The components, inclusions and mechanical properties of the produced 400 MPa-grade lanthanum-cerium mixed rare earth steel bar completely meet the technical requirements of the steel bar, the quality control requirement is met, and the 400 MPa-grade lanthanum-cerium mixed rare earth steel bar has the advantages of being high in strength, high in plasticity, resistant to corrosion and the like. The service life of the steel is prolonged, coating and galvanization are avoided, the burden of environmental protection is relieved, and reasonable application of resources is facilitated.

The invention discloses an intelligent scheduling method based on port bulk cargo transfer. The method comprises the steps of S1, obtaining related information of bulk cargos to be transferred and related information of transport vehicles; s2, matching transport vehicles of corresponding types; s3, calculating a transfer train number; s4, calculating the number of transport vehicles; when the number of the transport vehicles is one, executing the step S5; when the number of the transport vehicles is two or more than two, executing the step S6; s5, generating transfer scheduling planning information according to the loading position of the bulk cargo to be transferred and the departure position of the corresponding transport vehicle; s6, determining the departure sequence of the transport vehicles: for the first departure transport vehicle, calculating corresponding transfer scheduling planning information based on the step S5; and for the second transport vehicle and the subsequent departure transport vehicle, corresponding transfer scheduling planning information is generated according to the transfer scheduling planning information of the previous transport vehicle. According to the invention, the accuracy, orderliness and collaboration of bulk cargo transfer scheduling can be improved.

The invention discloses a circulating sorting assembly and a turning type intelligent sorting system. The circulating sorting assembly comprises a temporary storage bin, at least two circulating bins, a plurality of storage bins, first sorting equipment, a first conveying pipeline, a first conveying channel, a reversing assembly and a first warehousing channel. The output end of the temporary storage bin communicates with the first conveying channel, the output end of the first conveying channel is connected to the input end of the first sorting device, the output end of the first sorting device communicates with the first conveying pipeline and the first warehousing channel, the output end of the first conveying pipeline communicates with the circulation bin, and the reversing assembly is arranged in the first conveying pipeline. By arranging the temporary storage bin, the circulating bin, the storage bin, the corresponding sorting equipment, the corresponding conveying channel, the corresponding reversing assembly and the like, the plastic bottles can be cyclically sorted for multiple times, the plastic bottles of different types (for example, the plastic bottles are distinguished according to materials, colors and the like) are sorted out and stored separately, the multi-stage classification problem is effectively solved, and the sorting accuracy and comprehensiveness are improved.

The invention discloses an optimal matching double-star SAR fusion imaging method based on CRLB. A global navigation satellite system (GNSS) has the advantages of all-weather operation, wide space coverage and the like, and although a GNSS-R SAR technology in which reflected signals of the GNSS are used for imaging of a ground synthetic aperture radar (SAR) is low in cost and wide in application, the resolution ratio of the GNSS is poor due to the fact that the bandwidth of the GNSS signals is limited. According to the method, an SAR fusion imaging system model composed of a plurality of satellites and a single ground fixed GNSS receiver is established, the mutual relation between a fuzzy function of a GNSS signal and Fisher information is explored, and a system Cramer-Rao lower bound (CRLB) influenced by a bistatic set geometric configuration is deduced. On the basis, a CRLB expression is adopted to identify satellites in the optimal resolution direction of the ground target, and according to the principle that the included angle between the optimal resolution directions is as close as 90 degrees as possible, the imaging results of the selected satellites are subjected to incoherent fusion. By means of the method, unnecessary redundant imaging processing is avoided, and it is ensured that imaging resources are utilized most reasonably. And the resolution performance of the system is improved in a more efficient manner.

The invention provides glass powder continuous production equipment and a grinding method thereof, and relates to the field of glass powder production equipment. The glass powder continuous production equipment comprises a feeding assembly and further comprises a variable speed power assembly, a primary treatment assembly, a fine grinding wheel and a cooling shell assembly, the primary treatment assembly is installed on the cooling shell assembly, and the fine grinding wheel is installed in the cooling shell assembly and installed on an output shaft of the variable speed power assembly. According to the glass powder continuous production equipment and the grinding method thereof, by arranging the primary treatment assembly, the effects of energy saving, flow saving and integrated continuous glass treatment are achieved, the problem of jamming and shutdown is avoided, the large grinding wheel and the fine grinding wheel are arranged, and compared with the prior art, the effect of non-blocking continuous powder preparation can be achieved; the problem of failure or sintering of the large grinding wheel and the fine grinding wheel due to temperature rise is avoided, the variable-speed power assembly is arranged, and compared with traditional glass powder making, more electric energy is saved.

The invention discloses a self-adaptive traffic prediction and dynamic network optimization system, and relates to the technical field of automatic management of cloud computing networks. Comprising the following steps: step 1: carrying out data collection and processing, step 2: carrying out model training and constructing a prediction engine by utilizing a traffic prediction model, step 3: carrying out real-time monitoring and prediction, and step 4: dynamically adjusting a routing table and optimizing a routing path by utilizing a routing optimization algorithm according to predicted traffic data. The method comprises the following steps of: (1) predicting traffic data, dynamically distributing network loads to different servers or nodes according to the predicted traffic data by utilizing a load balancing algorithm to balance resource use, (5) carrying out decision support and automation: providing decision support, recommending configuration change and automatically executing the configuration change when necessary, and (6) carrying out feedback and iteration: continuously collecting effect data after execution, and performing iterative optimization on the flow prediction model fed back to the prediction engine.

The invention discloses a welding tool, a heater module and an integrated module electric compressor, and belongs to the technical field of heater welding machines.The welding tool comprises a tool body, a containing cavity is formed in the tool body, a heater is placed in the containing cavity, and the heater comprises a base plate and a heating plate; the heating plate is connected with a plurality of heat conducting fins; the tool body comprises an upper positioning assembly and a lower positioning assembly, the upper positioning assembly and the lower positioning assembly are mutually fixed through bolts, the lower surface of the upper positioning assembly, the upper surface of the lower positioning assembly and cavities in the opposite surfaces of the upper positioning assembly and the lower positioning assembly are combined to form a containing cavity, and a plurality of welding exhaust holes are formed in the containing cavity. A stress release groove is connected into the containing cavity. The substrate surface temperature can be reasonably and effectively utilized, waste of waste heat in the substrate welding process is reduced, the heat efficiency in the substrate welding process is improved, and the welding quality of the substrate and a heating plate is effectively improved.

The invention discloses an information processing method and device and a readable storage medium, relates to the technical field of communication, and aims to reasonably utilize storage and forwarding resources on a satellite. The method comprises: receiving first information sent by an access network device, the first information comprising a store-and-forward capability identifier and / or a store-and-forward margin identifier; sending a first store-and-forward request to a core network device according to the first information; wherein the store-and-forward capability identifier is used for representing the store-and-forward capability of the satellite, and the store-and-forward margin identifier is used for representing the storage capacity information of the satellite. According to the embodiment of the invention, the storage and forwarding resources on the satellite can be reasonably utilized.

The utility model belongs to the technical field of mirror boxes, and particularly relates to a circular intelligent mirror box. The device comprises a box body which is circular; the mirror door comprises a mirror frame hinged to the box body and a mirror door piece installed on the side, away from the box body, of the mirror frame; the mirror frame is provided with a beauty mirror and a storage rack, the mirror door piece comprises a circular mirror door body and a lamp strip installed on the mirror door body, a clamping groove is formed in the mirror door body, and the lamp strip is installed in the clamping groove of the mirror door body in an embedded and clamped mode. Compared with the prior art, the mirror box disclosed by the utility model integrates the functions of a mirror, illumination, storage and the like on the mirror door, so that the concentration and integration of the functions are realized, and the mirror box is more convenient and smoother to use.

The utility model discloses a waste heat utilization device for sludge heat drying, which relates to the technical field of sludge treatment and comprises a heat exchange box, an exhaust gas pipeline, a preheating pipeline and a heat exchange water pipeline, the heat exchange box is of an up-down hollow structure, a heat exchange water tank is arranged on the upper side of the heat exchange box, a gas output box is arranged on the lower side of the heat exchange box, and the gas output box is provided with three compartments. The exhaust gas pipeline and the preheating pipeline are arranged in the heat exchange water tank and are respectively communicated to each compartment of the gas output tank, and the heat exchange water pipeline is communicated with the heat exchange water tank. According to the utility model, the heat of exhaust gas generated after heat drying of sludge is reasonably utilized.

The utility model relates to the technical field of electronic control devices, in particular to a relay. The relay comprises a housing which is provided with an exposure hole; the main body assembly is arranged in the shell, and a gap is formed between the main body assembly and the shell; the main body assembly comprises a static contact, an insulating cover, a coil and a coil rack, the static contact is fixed relative to the insulating cover, and part of the static contact is located on the outer side of the insulating cover and exposed through the exposing hole; the coil rack is arranged on one side, deviating from the exposing hole, of the insulating cover, and the coil is mounted on the coil rack; the connecting frame is arranged in the shell and is positioned in the gap; the connecting frame comprises a frame body and two conducting strips which are integrally formed with the frame body; each conducting strip is provided with a connecting end and a leading-out end which are exposed out of the frame body, the connecting end is connected with one free end of the coil, and the leading-out end extends out of the shell from the side, provided with the exposing hole, of the shell. According to the relay, the internal space is reasonably arranged, low-voltage signals in the coil are effectively led out, and miniaturization arrangement is facilitated.

The utility model discloses an optical fiber access terminal box and an optical fiber access device. The optical fiber access terminal box comprises a terminal box, an optical network unit and a cable, the terminal box comprises a cover plate and a box body, the box body is provided with a mounting cavity with an opening in one end, the cover plate movably covers the opening, and a connector is arranged on the outer side of the box body. The optical network unit is mounted on one side, facing the mounting cavity, of the cover plate; one end of the cable is connected with the optical network unit, and the other end is connected with the joint. According to the optical fiber access terminal box, the optical network unit is installed on the cover plate, so that wiring, installation and maintenance of the optical network unit are more convenient, meanwhile, compared with a structure in which the optical network unit is arranged in the box body, the optical fiber access terminal box can utilize the space in the terminal box more reasonably, the size of the structure is convenient to reduce, and the cost is reduced. Therefore, the optical fiber access terminal box is miniaturized.

The invention relates to the technical field of dustproof cleaning, in particular to an engineering project site dustproof cleaning device which comprises a shell, the side wall of the shell is fixedly connected with an air pump through a support, and an input pipe of the air pump is fixedly connected with the shell in a penetrating mode; a cleaning mechanism is arranged in the shell and composed of an airflow assembly, a dust falling assembly and a control assembly, the airflow assembly comprises an air channel and a dust falling cavity, the dust falling cavity is formed in the shell and communicated with the outside through the air channel, and an input pipe of the air pump penetrates and extends into the dust falling cavity. The shell is rotationally connected with a rotating shaft in a penetrating mode through a bearing, the dust falling assembly comprises two side cavities and a water cavity, and the side cavities and the water cavity are both formed in the shell. The device disclosed by the invention has the advantages that the device can avoid the severe field environment and the waste of water resources while spraying and settling dust, and meanwhile, the spraying and settling speed can be automatically adjusted, so that the automation degree is higher.

The invention provides atmospheric environment monitoring equipment, and relates to the technical field of atmospheric monitoring, the atmospheric environment monitoring equipment comprises a mounting rack, the left end of the mounting rack is provided with a meteorological device for monitoring wind direction, the right end of the mounting rack is provided with a gas monitoring device for monitoring gas, and a transmission device is arranged between the meteorological device and the gas monitoring device. By utilizing wind energy, electric energy is saved, the device is more environmentally friendly, meanwhile, an arc-surface inclined scraping strip is driven to rotate on the inner wall of the air inlet cylinder to scrape off dust or dirt on the inner wall, automatic dust removal is achieved on the inner wall of the air inlet cylinder through wind energy in windy weather, and the device is more convenient to use. And furthermore, other impurities are prevented from appearing in a monitoring result, the accuracy of the result is improved, a worker does not need to climb on the mounting frame for operation, the safety in the ash removal process is improved, and the convenience is also greatly improved.

The invention provides a combined cooling heating and power multi-energy complementary system based on biomass energy, solar energy and wind energy. The combined cooling heating and power multi-energy complementary system comprises an electric power balance system, a heat balance system and a cold balance system. According to the system, biomass energy, solar energy and wind energy are utilized, the problems that current primary energy consumption is too fast and carbon emission is too high can be solved, power generation and gas generation of the system are dynamically utilized for reasonable distribution of the system, a balance system for a user to meet the power requirement and the cooling and heating load requirement is achieved, and utilization of clean energy, straw, waste gas and the like are achieved. The livestock manure is reasonably and fully utilized, the problem of dynamic multi-energy complementation is solved, and the problems of biomass energy waste and environmental pollution are solved to the maximum extent.

The invention discloses an exchange mechanism for a grain box plate welding platform of a drying machine. The sliding frame is movably mounted on the rack, and the sliding frame is connected with a first sliding driving mechanism for driving the sliding frame to slide; the lifting driving mechanism is mounted on the sliding frame and is provided with a telescopic push rod capable of moving up and down; the lifting platform has a low-position state and a high-position state, and is connected with the telescopic push rod to realize lifting movement so as to realize switching between the low-position state and the high-position state; and the horizontal table is movably mounted on the rack and can shuttle below the lifting table in the high-position state. The lifting driving mechanism is used for driving the lifting table to ascend, so that the horizontal table and the lifting table are staggered in the height direction and do not interfere with each other in movement, and the lifting table and the horizontal table can shuttle to exchange positions, so that the lifting table and the horizontal table do not need to be conveyed by a circulating conveying line; and cyclic movement of the lifting table and the horizontal table can be achieved through linear movement, and the occupied area of equipment is reduced.

The invention discloses a method and a system for optimizing an optical storage and charging integrated charging station considering shared energy storage. The method comprises the following steps: acquiring related parameters and scene data of the optical storage and charging integrated charging station considering shared energy storage; taking the minimum annual investment cost and the minimum annual operation cost of the system as an objective function, considering energy storage capacity constraint and power constraint, establishing an upper-layer planning model, and solving to obtain the optimal energy storage capacity and power configuration of the optical storage and charging integrated charging station; taking the minimum typical daily operation cost as an objective function, considering power balance constraint, shared energy storage constraint and electric vehicle constraint, and establishing a lower-layer operation model; and establishing a double-layer optimization model of the optical storage and charging integrated charging station considering the shared energy storage, and solving the double-layer optimization model to obtain an optimal configuration and operation scheme of the optical storage and charging integrated charging station considering the shared energy storage. According to the method, renewable energy sources can be better integrated, the development of low-carbon economy is promoted, theoretical support is provided for flexible dispatching of a power system, and the stability and reliability of the power system can be improved.

The invention provides a building electrical load prediction method and system based on domain knowledge constraint, and relates to the technical field of power load prediction, and the method comprises the steps: obtaining original building electrical load data; using an adaptive K nearest neighbor algorithm to find abnormal data in the original building electrical load data; building a domain knowledge physical constraint, building a loss calculation function based on the domain knowledge physical constraint, and optimizing parameters of the prediction integration model combining the periodic KAN network and the LSTM unit based on the loss calculation function to obtain an optimized prediction integration model; and inputting the original building electrical load data after abnormal data elimination into the optimized prediction integrated model, carrying out composite operation through each function matrix in the KAN network, inputting the output into an LSTM unit to obtain effective time sequence characteristics, and finally predicting the output by using a linear layer, and trimming the prediction output to obtain a prediction result. And finally obtaining a building energy consumption prediction result per hour in the next day.