44results about How to "Maximize resource utilization" patented technology

The invention discloses a dynamic scheduling method for a cloud computing resource pool in the technical field of cloud computing. Comprising the following steps: S1, analyzing resource demands; s2, performing performance prediction on the resource pool through load prediction; s3, predicting task demand resources; s4, resource allocation decision making; s5, task scheduling; and S6, resource monitoring and feedback. According to the invention, load prediction is carried out through the long-short-term memory network, an adaptive mechanism is introduced, and a load prediction model is updated along with continuous change of data, so that the accuracy is improved; the resource demand of the task is predicted through a machine learning algorithm, a reasonable resource allocation decision is made according to the state of the current resource pool and the resource demand predicted by the task, the utilization rate of the resource is improved, stable operation calculation of the task is guaranteed, efficient task allocation and scheduling are achieved, resource utilization maximization is guaranteed, and the resource utilization rate is increased. And the change of the system load is effectively responded.

The invention provides an intelligent scheduling control method for an electric energy meter verification assembly line, and belongs to the technical field of electric energy meters. S1, features extracted from an original data set are expressed as a feature matrix, and a multi-level collaborative algorithm is designed; s2, the global scheduling layer is responsible for distribution of overall resources and macroscopic scheduling decision making, the input is a feature matrix, and the output is a task priority matrix; s3, the local scheduling layer is responsible for distribution of specific tasks and management of execution details, the input is a task priority matrix, and the output is a specific task distribution matrix; and S4, the equipment control layer is responsible for operation and state monitoring of verification equipment, inputting the specific task distribution matrix, outputting the specific task distribution matrix and the equipment control instruction set, and dynamically adjusting the specific task distribution matrix and the equipment control instruction set according to feedback. According to the invention, the Internet of Things and the big data technology are fully utilized, and the intelligent algorithm is combined, so that efficient, intelligent and automatic control of the electric energy meter verification assembly line is realized.

The invention relates to the technical field of new energy station monitoring, in particular to a new energy station monitoring system and method based on an intelligent sensor, and the system comprises an intelligent model unit which builds a multi-factor model and predicts the power generation efficiency; the continuous optimization unit is used for predicting burst data according to the power generation efficiency; when the system is used, the system adapts to seasonal changes and sudden weather conditions, the operation efficiency of the new energy station is improved, energy management can be optimized, the sustainability and economical efficiency of the system are ensured, the new energy station can operate in an efficient and stable environment by continuously optimizing the operation of the units, and the new energy station is suitable for popularization and application. The power generation efficiency of the whole new energy station is further improved, the operation and maintenance cost is further reduced, the power generation efficiency and equipment state data are monitored in real time, whether equipment needs to be maintained or adjusted or not is judged, manual intervention is reduced, the intelligent degree of the system is improved, it is ensured that the power generation efficiency is always kept in the optimal state, and resource utilization is maximized.

The invention discloses a self-adaptive generator set load adjustment and coal optimized supply control method, and the method achieves the accurate prediction of short-term and medium-and-long-term load demands through the building of a self-adaptive generator set load adjustment and coal optimized supply control method, and a deep learning load prediction model of multi-dimensional data. And a hierarchical response mechanism and a real-time control algorithm are combined, so that the load response speed and the adjustment efficiency are improved. The dynamic coal purchase and supply plan is combined with the reinforcement learning algorithm, the coal inventory can be dynamically adjusted according to the load demand, and the supply efficiency and economy are optimized. Coal quality monitoring equipment is introduced, high-calorific-value coal is distributed to a high-load unit in a targeted mode, the combustion efficiency is improved, and coal consumption and equipment abrasion are reduced. A closed-loop feedback system and a self-learning mechanism realize real-time monitoring and automatic adjustment, and the prediction precision and adaptability are improved.

The invention discloses a wastewater treatment device for the semiconductor industry, and belongs to the technical field of wastewater treatment.The wastewater treatment device for the semiconductor industry comprises a main body, a supporting frame is fixedly connected to the outer wall of the main body, a wastewater inlet pipe is fixedly connected to one side of the top of the main body, and a driving mechanism is installed on the inner wall of a storage cavity; a spraying mechanism is mounted at the top of the main body, a stirring mechanism is mounted on the outer wall of the driving mechanism, and a wastewater outlet pipe is fixedly connected to the outer wall of the main body. By designing the driving mechanism, the spraying mechanism and the stirring mechanism, wastewater and an adsorbent can be quickly mixed, the wastewater can be treated, meanwhile, the angle of stirring blades can be selected, the treatment rate can be increased in the wastewater treatment process of different methods, in addition, the spraying mechanism can move up and down along with stirring, and the treatment efficiency is improved. Therefore, the treatment efficiency is improved, and the method has wide application prospects in the field of wastewater treatment.

The utility model discloses a greenhouse tomato seedling culture device, which belongs to the technical field of agricultural equipment, and comprises a base, a culture box is arranged at the top of the base, and an air outlet is arranged at the side end of the culture box. The rotating rod drives a driving gear to rotate, the driving gear drives a driven gear meshed with the driving gear to rotate, so that the driven gear drives a threaded rod to rotate, the threaded rod drives a sliding block to move in a sliding groove through threaded connection formed by the threaded rod and the sliding block, and the purpose that the lifting frame moves longitudinally is achieved, so that the lifting frame supports the bottom of a seedling raising plate; the seedling raising plate can be directly driven to move out of the seedling raising frame along with the lifting of the lifting frame, the situation that the seedling raising plate is directly pulled to touch the tomato seedlings which extend out by mistake to be broken when the seedling raising plate is manually taken out is avoided, and the device improves the transplanting effect and is convenient to use.

The invention discloses a production scheduling method based on wooden furniture process standards and product BOM, and relates to the technical field of wooden furniture production scheduling. The production scheduling method based on the wooden furniture process standard and the product BOM comprises the following steps: S101, establishing a standard process model according to a wooden furniture production process; s102, obtaining information to be produced; s103, carrying out productivity evaluation on each process node; s104, making a corresponding scheduling adjustment measure according to a scheduling detection result; s105, outputting a preliminary scheduling detection result, and calculating a scheduling result adjustment value according to the scheduling parameters; s106, productivity evaluation and scheduling detection are carried out again according to the scheduling result adjustment value; and S107, the adjusted scheduling parameter information is acquired, and the scheduling parameters are analyzed. The problem of how to dynamically and efficiently adjust the production schedule to adapt to variable production requirements and complex production processes is solved.

The invention relates to a unit load scheduling method and device, a medium, equipment and a program product, and relates to the technical field of hydraulic engineering, and the method can comprise the steps: determining a plurality of first load distribution schemes corresponding to the unit load of a target unit; determining the fitness corresponding to each first load distribution scheme, wherein the fitness is used for evaluating the advantages and disadvantages of the first load distribution scheme; determining a target load distribution scheme meeting a target constraint condition according to the plurality of first load distribution schemes and the fitness corresponding to each first load distribution scheme; and controlling the target unit to execute the target load distribution scheme. Therefore, the optimal load distribution scheme can be accurately found out from the plurality of first load distribution schemes through a small calculation amount. Meanwhile, under the condition that the target constraint condition is met, reasonable distribution of unit loads can be achieved, and therefore maximum resource utilization of unit operation is achieved, and economic operation is achieved.

The present invention discloses a robot integrated scheduling system integrating multiple brands, and relates to the technical field of robot integrated scheduling, comprising a task acquisition module, which is used for a scheduling system to obtain a list of tasks to be executed from a production management system; a robot division module, which is used to generate a plurality of groups of task switching time interval vectors; a task allocation module, which is used to allocate tasks to robots based on a plurality of groups of task switching time interval vectors and a task list; a data acquisition module, which is used to obtain multi-robot efficiency data and system resource data when robots perform tasks; a task switching time interval evaluation model is constructed based on machine learning; and a screening module, which is used to perform data analysis to obtain screened task switching time interval vectors, which are applied to the integrated scheduling of robots of multiple brands, and solve the problem that the setting of task switching time intervals in multi-brand robot systems lacks flexibility, and easily leads to an imbalance between resource utilization and task connection efficiency in the scheduling system.

The invention discloses a resource scheduling method and device, network equipment, a storage medium and a program product, and relates to the technical field of resource scheduling. The method comprises the following steps: receiving a computing power request of a first node; obtaining state parameters of the candidate nodes; and determining a node corresponding to each to-be-processed task in the candidate nodes according to the computing power request and the state parameters of the candidate nodes. Determining a resource demand, a task type and a time delay requirement of a to-be-processed task of the first node by analyzing the computing power request, and determining the to-be-processed task of the first node according to a state parameter of the candidate node comprising at least one of a load, a residual computing power and a historical task success rate of the candidate node and delay data between the first node and the candidate node; and determining the node corresponding to the to-be-processed task in the candidate nodes, thereby selecting the corresponding node to process the task according to the resource demand, the task type and the time delay demand of the to-be-processed task, and maximizing the resource utilization of the node under the condition of ensuring the processing time delay.

The application provides a vulnerability repair method and system, and relates to the technical field of network security vulnerability verification and enterprise vulnerability management. The application obtains a task containing a vulnerability identifier, asset information and to-be-verified repair content, processes the task in parallel according to a pipeline split according to business execution steps, and configures a resource pool matching external dependencies for each stage; a stage fingerprint is generated when the task is transferred, a result is reused when a subtask is executed, otherwise the execution is scheduled according to vulnerability harm, asset importance and threat intelligence, and the vulnerability repair is completed according to the verification result. The application solves the problems of low throughput of the existing general pipeline, slow response of high-priority tasks, and easy starvation of low-priority tasks, and achieves the effect of collaborative optimization of throughput improvement, emergency task response acceleration and low-priority task starvation prevention without changing the original business and hardware.

The invention relates to a comprehensive utilization method of by-product aluminum-sodium-containing material slag in an aluminum electrolyte lithium extraction process, which comprises the following steps: mixing the by-product aluminum-sodium-containing material slag with acid liquid for reaction, and after the reaction is finished, carrying out solid-liquid separation to obtain filter residue A and filtrate A; washing and calcining the filter residue A to obtain aluminum fluoride; and mixing the filtrate A with a sodium solution to obtain sodium fluoride. By adopting the method to treat the slag after lithium extraction, the final product can be converted into high-quality sodium fluoride and aluminum fluoride; therefore, not only can the resource utilization be maximized effectively, but also economic benefits can be made for the process for extracting lithium from the aluminum electrolyte.

The application discloses a kind of high ice nickel oxygen pressure leaching residue fire method wet method combined multi-group element comprehensive recycling method, comprising the following steps: (1) high ice nickel oxygen pressure leaching residue is mixed with sulphidizing agent, carbonaceous reducing agent, and is carried out reduction sulphidation roasting treatment, and after cooling, get calcine and rich germanium dust;(2) the calcine is added in dilute sulfuric acid, and constant flow rate SO2 is imported, and reduction acid leaching reaction is carried out, and after filtration, get ferrous solution and nickel sulphide residue;(3) the ferrous solution is frozen crystallization and gets ferrous sulfate heptahydrate;(4) the nickel sulphide residue is carried out and adds acid oxygen pressure leaching, and after filtration, get nickel sulfate solution, and cooling crystallization is carried out and gets again six water nickel sulfate.The application adopts fire method wet method combined processing technology and comprehensively recycles iron, nickel, germanium and other valuable metal elements, and selective reduction sulphidation roasting is used to preferentially process beneficial to the efficient separation among nickel, iron and germanium, and the recovery rate and separation rate of nickel and iron elements are improved.

The present invention discloses a decentralized low-carbon sewage treatment device and method based on anaerobic ammonia oxidation, the device includes a sewage inlet tank for receiving external raw water, which can transport the raw water to a UASB reactor and a continuous flow reactor respectively in proportion; the UASB reactor is used to convert organic matter in the raw water into methane; a suspended anaerobic ammonia oxidation bacteria filler is added in the continuous flow reactor, and raw water denitrification is achieved through short-range nitrification / anaerobic ammonia oxidation and short-range denitrification / anaerobic ammonia oxidation, and the hydraulic retention time in the anoxic zone is extended to achieve synchronous in-situ fermentation of sludge, and a check gate is set to solve the problem of sludge back mixing; the secondary sedimentation tank precipitates the raw water after denitrification, and returns part of the sludge to the continuous flow reactor. The present invention does not need to add additional carbon sources, effectively solves the problem of back mixing in the reaction zone, realizes the resource utilization of decentralized sewage organic matter and sludge reduction generated in highway service areas, etc., and has the characteristics of high denitrification efficiency, stable performance and effective reduction of carbon emissions.

The utility model relates to a sterile operation drape for neck ablation operation, which comprises a bottom layer of antibacterial cloth, an operation opening for exposing an operation area arranged at one side of the bottom layer of antibacterial cloth, a storage area arranged on the bottom layer of antibacterial cloth, and an antibacterial protective layer detachably connected with the bottom layer of antibacterial cloth and used for covering the storage area, wherein the storage area comprises storage antibacterial cloth, a support frame group connected with each end point of the storage antibacterial cloth and foldably arranged on the bottom layer of antibacterial cloth, and a raised portion arranged at the edge of the storage antibacterial cloth. Compared with the prior art, the utility model has the advantages that the foldable storage area is creatively designed, the operation tools can be placed flat on the storage cloth after being clamped and installed on each support pipe, cross infection between the operation tools is avoided, the operation of the first-aid doctor can be carried out independently, and the resource utilization of the medical staff is maximized.

The utility model provides a gas turbine oxygen-enriched combustion system capable of extracting high-purity carbon dioxide. The gas turbine oxygen-enriched combustion system comprises a fuel source, air separation equipment, a gas turbine, a waste heat boiler, a low-pressure compressor, a front-end cooler, a gas-liquid separation device, a high-pressure compressor, a rear-end cooler, a phase change condensation heat exchanger and a chimney. Oxygen in air is separated out through the air separation equipment, and the oxygen, oxygen from the phase change condensation heat exchanger and mixed gas of oxygen and carbon dioxide separated out through the gas-liquid separation device jointly form an oxygen source needed by the gas turbine. An oxygen source with certain pressure and temperature is fed into the gas turbine, so that oxygen in the oxygen source can be uniformly mixed, and the oxygen can be sufficiently mixed with gas for combustion according to the proportion. According to the utility model, not only can water vapor, carbon dioxide and the like brought by combustion be recycled, but also the smoke exhaust temperature is recycled, so that the near-zero emission of smoke is realized, the environment is protected, and the maximization of resource utilization is realized.

The present application provides an acid gas separation process, which comprises the following steps: separating the acid gas to be treated into gas and liquid, wherein the liquid is sent to a sewage buffer tank, and the gas is sent to a booster compressor; the liquid produced after boosting is sent to the sewage buffer tank, and the boosted gas is sent to a deliquidation device; the removed liquid is sent to the sewage buffer tank, and the gas is sent to a primary electric heater for heating, and then sent to a hollow fiber membrane group for separation, H 2 S output to H 2 S booster compressor boosts pressure, mixed with H 2 S'CO 2 After being separated by hollow fiber membrane group again, H 2 S output to H 2 S booster compressor boost, CO 2 Output to CO 2 In booster compressor; in H 2 S booster compressor boosts H 2 When S reaches a supercritical state, it is sent to the formation for storage; 2 In CO 2 After the pressure is increased and adjusted in the booster compressor, it is sent to the formation for sealing or transported to the oil recovery well for oil recovery.

The invention relates to the technical field of kitchen waste treatment, and discloses a skid-mounted integrated garbage thermal hydrolysis treatment device and method. A first skid-mounted unit and a second skid-mounted unit are integrated into a garbage thermal hydrolysis treatment device. The first skid-mounted unit and the second skid-mounted unit can be placed on two transport vehicles respectively and transported to a destination for garbage treatment. The garbage at the destination can be effectively and quickly treated without the need to transport the garbage to a landfill for treatment, thereby saving transportation costs. In the process of thermal hydrolysis of garbage, cellulose, starch, and fat organic matter in the garbage are made into slurry through a pretreatment unit in the first skid-mounted unit, and oil-water separation is performed in the first thermal hydrolysis unit and the second thermal hydrolysis unit in turn, and the oil phase product is recovered, and the water phase product is prepared to produce fertilizer, thereby improving the garbage treatment efficiency.

The present invention discloses a data analysis method and system based on visual modeling and job scheduling, which relates to the field of data analysis technology, including: designing data analysis processes and service nodes according to data analysis requirements, building data analysis models; loading data analysis models and initializing them; preprocessing and converting data to form a unified data set; building a comprehensive target optimization model, outputting a resource allocation plan; dynamically adjusting the task execution order according to the resource allocation plan and the unified data set; the scheduling engine adopts a step-by-step resource scheduling strategy for resource allocation and task execution. The present invention combines the results of the comprehensive optimization target model with real-time monitoring and prediction through an intelligent resource scheduling strategy, dynamically adjusts resource allocation and task execution order, thereby achieving efficient execution of data analysis tasks and maximizing resource utilization, effectively solving the problems of low resource utilization and low task execution efficiency in the prior art.

The utility model relates to the technical field of coal washing, in particular to a lump coal product crushing and recleaning process system for a dense medium coal preparation plant, which comprises a desliming screen, a three-product dense medium cyclone, a clean coal arc-shaped screen, a middling coal arc-shaped screen, a gangue arc-shaped screen, a clean coal linear vibrating screen, a middling coal linear vibrating screen and a gangue linear vibrating screen. An oversize outlet of the desliming screen is connected with an inlet of a three-product dense medium cyclone, and a clean coal outlet, a middling coal outlet and a gangue outlet of the three-product dense medium cyclone are connected with a clean coal sieve bend, a middling coal sieve bend and a gangue sieve bend respectively; the clean coal arc-shaped screen, the middling coal arc-shaped screen and the gangue arc-shaped screen are connected with the clean coal linear vibrating screen, the middling coal linear vibrating screen and the gangue linear vibrating screen respectively, a block clean coal outlet and a block middling coal outlet on the clean coal linear vibrating screen and the middling coal linear vibrating screen are connected with the crusher respectively, and the crusher is connected with the desliming screen through a mixing barrel and a mixing pump. Considerable economic benefits are created, and resource utilization maximization is achieved.

The invention relates to the technical field of extraction of frosted mulberry leaves, in particular to an extraction method and application of a frosted mulberry leaf extract. The extraction method sequentially comprises the steps of pretreatment of frosted mulberry leaves, preparation of a compound enzyme aqueous solution, preparation of a hyaluronic acid aqueous solution, enzymolysis treatment and extraction of the frosted mulberry leaf extract, and the frosted mulberry leaf extract with the mass content of 1-deoxynojirimycin as high as 5.2-7.0% is obtained through specific selection of raw materials in cooperation with a specific extraction process. Meanwhile, the limitation that in the prior art, the mulberry leaf extract needs to be stored under the severe condition of 2-8 DEG C is broken through, and after the frosted mulberry leaf extract extracted through a specific extraction process is stored for 300 days under the condition of 18 DEG C in a shading mode, the retention rate of the mass content of 1-deoxynojirimycin contained in the frosted mulberry leaf extract can be larger than or equal to 89%; and the preservation cost is further reduced for popularization of subsequent hypoglycemic products.

The invention provides a resource allocation method, relates to the technical field of artificial intelligence, and can be applied to the field of financial science and technology. The resource allocation method comprises the steps that in response to received project demand data of a target project, N to-be-allocated resources are obtained by calculating a resource matching degree, and N is a positive integer; and performing conflict detection on the N to-be-allocated resources to obtain L to-be-allocated resources, L being a positive integer.

The present invention provides a bandwidth management method, system, device and storage medium, the method comprising the steps of: a routing device determines a plurality of CE devices belonging to the same user as a load group; the routing device determines the speed limit bandwidth corresponding to each CE device according to the contracted bandwidth corresponding to the user and the number of CE devices in the load group; and the routing device monitors each link, obtains the link routing state corresponding to each link, and adjusts the speed limit bandwidth corresponding to each link according to the link routing state; the link is a link connecting the CE device and the routing device; the present application realizes changes with the link inside the routing device, and can perform adaptive speed limit based on the contracted bandwidth to achieve load balancing and optimize resource utilization.

The invention relates to the technical field of integrated circuits, in particular to an interface device and method capable of modifying the connection relation, the interface device comprises polygonal metal square blocks consistent with digital output in use level, the metal square blocks are connected with NTAP contact with substrate square blocks, one side of the NTAP contact is connected with a digital port in a same-position overlapping or staggered mode, and the other side of the NTAP contact is connected with the digital port in a same-position overlapping or staggered mode. The other side of the NTAP contact is connected with an Analog port in a staggered manner, and after the NTAP contact is connected with the chip main body, the NTAP contact and a substrate PLUS of the chip main body form a reverse connection diode which is used as an antenna unit at the port. According to the invention, by using the device with the adjustable interface, the resource use is optimized, the port connection problem is solved, the verification frequency is reduced, the time is saved, and the efficiency is improved. And the chip test and design modification process is simplified, and the cost is reduced.

The utility model discloses an outdoor maintenance device for a prefabricated segment of a shield tunnel. The outdoor maintenance device comprises a water supply pipe arranged on the prefabricated segment, a fixed support arranged below the water supply pipe and connected with the prefabricated segment, and a plurality of rotary nozzles arranged above the water supply pipe and used for spraying water to the prefabricated segment for maintenance. A plurality of maintenance devices are arranged on the prefabricated pipe piece, so that the water spraying maintenance range can cover the surface of the whole prefabricated pipe piece, no extra channel needs to be arranged, resource waste is avoided, and construction cost is reduced; the maintenance device is installed on the prefabricated pipe piece through the fixing support, comprehensive watering maintenance of the prefabricated pipe piece in a storage yard area is achieved, too many manpower resources do not need to be consumed, the pipe piece storage site is effectively utilized, and resource utilization maximization is achieved.

The present invention relates to the field of integrated circuit technology, and specifically to an interface device and method with modifiable connection relations, including a polygonal metal block that is consistent with the digital output usage level, the metal block is connected to an NTAP contact with a substrate block, one side of the NTAP contact is superimposed or misaligned with the Digital port at the same position, the other side of the NTAP contact is misaligned with the Analog port, and after the NTAP contact is connected to the chip body, a reverse diode is formed with the chip body substrate PLUS, serving as an antenna unit at the port. The present invention utilizes a device with an adjustable interface, optimizes resource usage, solves the port connection problem, reduces the number of verifications, saves time, and improves efficiency. It also simplifies the chip testing and design modification process, reducing costs.

A method for analyzing network failures based on RESET messages, including: when a base station has a failure alarm, the core network analyzes the type of failure that occurs in the base station, and forwards the failure type to the ACS, and the ACS determines whether the failure alarm that occurs in the base station is a false alarm or a real alarm and feeds back the judgment information to a historical database; when a core network has a failure alarm, the base station analyzes the type of failure that occurs in the core network, and forwards the failure type to the ACS, and the ACS determines whether the failure alarm that occurs in the core network is a false alarm or a real alarm and feeds back the judgment information to a historical database; the database regularly analyzes the probability of subsequent base stations and core networks having false alarms based on the collected information. Through the above scheme, possible false alarms of base stations or core networks can be discovered in a timely manner and handled in a timely manner.

The invention discloses a resource utilization method of fly ash, and belongs to the technical field of industrial solid waste application. The microwave technology is used for activating and drying the materials, so that the process energy consumption is remarkably reduced; solid-liquid separation is realized through centrifugal separation, the operation is simple and convenient, and the separation efficiency is high; the whole technology greatly shortens the production cycle of coal ash resource utilization, and the production capacity is remarkably improved. According to the process, the energy consumption is reduced by 90%, the separation capacity is improved by 99%, and the production cycle is shortened to 1 / 6 of the original production cycle. According to the method disclosed by the invention, the coal ash can be simultaneously prepared into allochroic silicagel, an aluminum-iron flocculating agent and a sodium chloride snow-melting agent. The allochroic silicagel prepared by the technology keeps the moisture absorption rate of more than 20% within 48 hours in a closed container with RH of 50% and 25 + / -2.5 DEG C, the effluent COD of the prepared aluminum-iron flocculating agent for coal washing wastewater, papermaking white water and urban domestic sewage is less than 58mg.L <-1 >, the effluent turbidity is less than 4.8 NUT, the effluent COD and the effluent turbidity meet the GB / T19923-2005 standard for recycling industrial water, and the aluminum-iron flocculating agent can be used for preparing the aluminum-iron flocculating agent for coal washing wastewater, papermaking white water and urban domestic sewage. The snow and ice melting capacity of the prepared sodium chloride snow melting agent is 90% or above under the condition of-10 + / -1 DEG C for 30 min. The technical route can change the current situation that the coal ash resource utilization product is single and the economical efficiency is low, and the high-added-value full utilization of the coal ash can be realized.

The present invention provides a sparse matrix parallel solution method, device and electronic device, which are applied to a parallel computing platform, wherein the parallel computing platform includes a processor, the processor includes a high-speed local memory and a main memory, and the method includes: receiving a first input matrix and a second input matrix, and storing a first non-zero element and a second non-zero element row by row respectively; matching the subscripts of the first non-zero element and the second non-zero element, and calculating the row product of the first input matrix and the second input matrix row by row based on the matching result; establishing a first hash table in the high-speed local memory and a second hash table in the main memory; obtaining product non-zero elements based on the row product, and storing the product non-zero elements in the first hash table and the second hash table; traversing the first hash table and the second hash table, and writing the product non-zero elements into a buffer; and obtaining an output matrix based on the product non-zero elements. Through this method, the parallel solution method minimizes the memory access overhead and maximizes the resource utilization.

The present disclosure discloses an electric-quantity-based path planning method for an electric vehicle compatible with an energy storage charging pile. The method includes the following steps: 1) charging piles in a whole network submitting state information of the piles to a dispatching system platform, and before departure, an electric vehicle applying for a reservation from the dispatching system platform; 2) finding a shortest path from a departure place to a destination; 3) the dispatching system platform judging whether the reserved allocated electric quantity of the electric vehicle at one or more charging piles along the path meets an endurance requirement for driving to the destination; 4) if so, generating a whole-journey reservation scheme; and 5) if not, excluding the shortest path, and finding the shortest path from the remaining paths, and performing cyclic execution from Step 3) until all paths are traversed. By means of the method of the present disclosure, whole-journey electric-quantity-based path planning for an electric vehicle can be realized, the fused use of an energy storage charging pile and a power-grid direct-supply charging pile is realized using arrival time matching, and charging scheduling is also performed on the vehicle through the dispatching system platform, such that the electric quantity of the charging pile resources, especially an energy storage pile, in a whole network is fully utilized.