88results about How to "Reasonable distribution" patented technology

The invention relates to a magnetic suspension bearing control system and method and refrigeration equipment, and the system comprises a magnetic suspension bearing control module which is used for controlling a magnetic suspension bearing; the battery management module is electrically connected with the magnetic suspension bearing control module; and the master control module is respectively connected with the magnetic suspension bearing control module and the battery management module and can control the battery management module to store electric energy when the voltage of the magnetic suspension bearing control module is excessive and supply power to the magnetic suspension bearing control module when the power supply of the magnetic suspension bearing control module is insufficient. According to the technical scheme of the magnetic suspension bearing control system, through cooperative work of the battery management module and the master control module, the stability, the energy-saving performance and the response speed of the system are enhanced, the service life of equipment is effectively prolonged, and the maintenance cost is reduced. The integrated solution provides a safer, more reliable and more economical operating environment for high-performance and high-precision mechanical equipment.

The invention discloses a network dynamic flow scheduling method, device, equipment and product, and relates to the technical field of network scheduling, and the method comprises the steps: monitoring the change of target parameters of the equipment in real time through obtaining the state data and historical data of each piece of equipment in real time, and analyzing the behavior and flow trend of the equipment. The method comprises the following steps: calculating a Q value of each device through a Q learning algorithm to obtain an optimal Q value of each device under a current task, calculating an optimal path and a time slot allocation result of each device under the current task according to the optimal Q value, and scheduling a network dynamic flow according to the optimal path and the time slot allocation result to ensure that the path is shortest and the resource allocation is most reasonable, thereby improving the network transmission efficiency. And the risks of time delay and network congestion are reduced. The dynamic flow scheduling mechanism can flexibly adjust the flow load of each path in the network according to the real-time data and the historical trend, thereby ensuring the efficient utilization of network resources, and improving the certainty of equipment in the dynamic network.

The utility model discloses a filter device of circulating backwash, including filter casing, install a set of bearing seat in the inner chamber of filter casing upper end, bearing seat is sealed with a set of filter core rotation connection, and the rotation action can be realized to filter core through drive assembly, and cooperate transmission assembly and drive cleaning brush rotation, the utility model centrifugal force throws out high -speed water flow, and the impact force of impurity is greatly promoted, and the mechanical cleaning of cooperation cleaning brush, under double effect, can more efficiently remove strong viscosity, firmly attached contaminant and deep pore small impurity, and backwash efficiency improves obviously, and high -efficient backwash reduces backwash frequency and time, and water flow energy consumption is reduced, simultaneously, the filter core is because clean thoroughly, and the service life is extended, and the frequency of replacement is reduced, and the overall operation cost is reduced.

The present disclosure provides a data processing method based on a distributed system, a data processing device based on a distributed system, an electronic device and a computer readable storage medium, belonging to the field of computer technology. The method comprises: obtaining the number of nodes of the data processing node, obtaining the number of distributed models included in the first model for processing data; the first model is processed in parallel through the distributed system; the distributed model is a part of the first model; determine the target step according to the number of nodes and the number of models; the subtasks of different time steps in the data processing task are allocated to the corresponding data processing nodes; the processing results of the subtasks are interacted according to the target step, so that the data processing node executes the subtasks of the subsequent time steps according to the processing results. The present disclosure can effectively and reasonably process data in a distributed system.

The utility model relates to an off-grid inverter, which belongs to the technical field of inversion devices and comprises a casing and a main board arranged on the bottom wall of the casing, the main board is sequentially provided with a PV module, an inversion module, a DC-DC module and a battery module along the transverse direction, the front side of the PV module is provided with an AC module, the main board is provided with a copper bar jumper wire and a copper sheet, and the DC-DC module is connected with the battery module. The mainboard is connected with the PV module and the AC module through copper bar jumper wires, and the mainboard is connected with the battery module through a copper sheet. Wherein the PV module is a photovoltaic input module, the DC-DC module is a DC transformation module, and the AC module is an AC output module. According to the utility model, the PV module, the inversion module, the DC-DC module and the battery module are sequentially arranged along the transverse direction of the mainboard, the mainboard is connected with the PV module and the AC module through the copper bar jumper wire and is connected with the battery module through the copper sheet, and the inverter adopts a wireless design, has the advantages of compact structure, simplicity, order and convenience in wiring, and can improve the production efficiency.

The utility model relates to the field of optics, and discloses a wafer array type multi-wire cutting device which comprises a machine body, and a roller is arranged at the front end of the machine body. The mortar spraying assembly comprises a rectangular box and a connecting arm, the bottom end of the rectangular box is open, and a first spraying unit and two sets of second spraying units are arranged in a cavity of the rectangular box; and a position adjusting unit is arranged between the two second spraying units and the rectangular box and comprises a servo motor, a rotating shaft and a moving seat. The position adjusting unit is arranged between the two sets of second spraying units and the rectangular box, so that the positions between the two sets of second spraying units and the rectangular box can be adjusted, the positions of the two sets of second spraying units are adjusted according to the size of an actual machined part, and it is guaranteed that mortar is reasonably and evenly distributed on the workpiece in the cutting process; and the stability of cutting quality is ensured.

The application discloses a channel resource allocation method and device for a traditional Chinese medicine decoction piece e-commerce platform and a storage medium, and attributes online behavior habits before first login of a user based on push records of a touch channel and operation records of the user, then, based on a touch form of the platform to the user and the online behavior habits before the first login, attribution judgment of a user login response is performed again, so that a login contribution value of each touch channel is obtained; in this way, the application is equivalent to performing multiple login attribution analyses in combination with portrait data of the user, based on which, contribution rates of different touch channels can be more reasonably evaluated, so that reasonable allocation of channel resources is realized, and channel development and maintenance are better performed.

The utility model relates to a forced air cooling type energy storage battery PACK, which comprises a shell, two battery modules are arranged in the shell, each battery module comprises a plurality of battery cells arranged along a first direction, a ventilation duct is formed between two adjacent battery cells, a sealing partition plate is arranged on one side surface of each battery module along a second direction, and the two ends of each battery module are respectively connected with the shell in a sealing manner. A heat dissipation cavity which is used for accommodating the battery module and is communicated with the ventilation air duct is formed in the shell; a plurality of groups of air holes are formed in the sealing partition plate at intervals in the first direction, and each group of air holes comprises one or more through holes formed at intervals in the height direction; the air holes are correspondingly communicated with the ventilation air duct; an adjusting valve for adjusting the ventilation area is arranged in the through hole; a main air duct is formed between the two battery modules through the two sealing partition plates, and heat dissipation fans are arranged at outlets in the two ends of the main air duct respectively; and the shell is provided with a hollow area for ventilation. According to the utility model, the heat dissipation effect is improved, and the problem of poor temperature consistency of the battery module is solved.

The invention discloses a storage resource management method for cloud edge collaboration and a program product. The method comprises the following steps: acquiring multiple target storage resource parameters of a target edge node at multiple moments, and determining a first capacity quota of the target edge node according to the multiple target storage resource parameters at the multiple moments; generating a first token according to the first capacity quota, generating a first signature according to the first token, sending the first token to the target edge node, and receiving a second signature and a first storage resource sent by the target edge node, the first storage resource being determined according to the first token, the generation mode of the second signature is determined according to the generation mode of the first signature; and writing the first storage resource of the target edge node into a cloud resource scheduling center based on the first signature and the second signature. By analyzing the storage resource data of the edge nodes, more reasonable and effective storage resource allocation is realized, and the stability of the cloud edge collaborative system is effectively guaranteed.

The application discloses an austenitic structure steel and a preparation process thereof, and belongs to the technical field of metal materials. The Nb and N element content in the austenitic steel should satisfy: Lg([N][Nb])<-1.5 and -1.5 The precipitate in the austenitic structure steel is mainly nitride, the size of the nitride is smaller than 200 nm, and there is no large-size primary MX phase precipitate. Through the steel composition and process control, the austenitic structure steel is more reasonable in the solid solution stage dispersion nitride precipitate size and distribution, the precipitation strengthening effect is improved, and the low-temperature strength of the austenitic structure steel is improved, meanwhile, the generation of the primary MX phase in the solidification stage is reduced, and the toughness and plasticity of the austenitic structure steel in the super-low temperature environment are ensured.

The application relates to the technical field of collaborative allocation of warehouse resources, and discloses a warehouse resource adaptive collaborative allocation system based on multi-time scale deep reinforcement learning, which comprises a warehouse data acquisition unit, which acquires equipment operation data and environmental parameters and standardizes the same; a warehouse resource state feature extraction unit, which extracts resource state features to form abnormal features; a reinforcement learning state space construction unit, which analyzes the features to form state space construction parameters; a resource allocation strategy generation unit, which constructs a model to generate a strategy and divides influence factors; and a strategy adaptive optimization unit, which updates and optimizes the strategy by using an algorithm. In addition, the system is provided with a multi-source information fusion unit and a task queue dynamic adjustment module. The system realizes adaptive collaborative allocation of warehouse resources, improves warehouse operation efficiency, adapts to dynamic changes of a warehouse system, and meets the demand of modern warehouse intelligent operation.

The application relates to an internal combustion engine and a cylinder head and a vehicle thereof. The cylinder head comprises a cylinder head shell, the cylinder head shell comprises a first wall body, a second wall body, a first flow guide rib and a second flow guide rib. The first flow guide rib is located between an air inlet duct away from a spark plug and an exhaust duct away from the spark plug, and the second flow guide rib is located between the first flow guide rib and the spark plug. The first flow guide rib comprises a first flow guide section and a second flow guide section connected in sequence along a liquid flow direction, and an extension line of a downstream end of the first flow guide section is provided with an intersection with a first reference line, and the intersection is located in a second heat exchange channel. The second flow guide section is closer to a first liquid outlet relative to the first reference line. The spacing between the first flow guide section and a second reference line gradually increases along the liquid flow direction. The first flow guide rib is reasonably arranged, so that the distribution of the cooling liquid is more reasonable, and then the cooling performance can be effectively improved, the abnormal melting loss of an electrode of the spark plug is prevented, and the product performance of the internal combustion engine is improved.

The utility model discloses a drive assembly and diaphragm pump, drive assembly includes drive shaft and transmission mechanism, the transmission mechanism is composed of a plurality of transmission link sets that are arranged along the axial direction in order, the drive end of each transmission link set is respectively in transmission connection with drive shaft, the actuating end of each transmission link set is respectively in transmission connection with diaphragm piece, and the diaphragm piece is in transmission connection with the drive shaft. And the diaphragm pieces are deformed in a reciprocating manner along the radial direction along with rotation of the driving shaft. In a projection view in the axial direction, the included angle between every two adjacent transmission connecting rod sets in the transmission mechanism in the circumferential direction is 60 degrees. Through the arrangement, the distribution of the driving assembly and the pump head is more reasonable, the number of the pump cavities is increased in a limited volume space, the vacuum rate of the diaphragm pump can be improved, the structure of the driving assembly in the limited space is optimized through the design, the number of the pump cavities is increased while the efficient transmission performance of the driving assembly is ensured, and the service life of the diaphragm pump is prolonged. And the application of the diaphragm pump is wider.

The invention belongs to the related technical field of multifunctional gradient dot matrix sandwich structures, and discloses a gradient dot matrix sandwich structure with sound absorption and bearing functions and a design method. A microstructure in the sandwich structure comprises plate grids which are oppositely arranged up and down and a truss arranged between the plate grids, one or more micro-perforated holes are formed in the plate grids, and the truss is formed by a single rod array. The invention further discloses a design method of the microstructure. The sandwich structure comprises multiple layers, each layer is formed by tightly connecting the microstructures arranged in a gradient mode, the microstructure of each layer comprises multiple areas, the microstructures in the different areas are the same or different, and the thicknesses of the different areas are the same or different; the microstructural plate grids in the same area are the same, but the trusses are not necessarily the same. The invention further discloses a design method of the sandwich structure. According to the invention, the problem of low sound absorption and bearing performance of the sandwich structure is solved.

This invention belongs to the field of structural optimization design, and specifically discloses a topology optimization method and system for accurately and efficiently controlling structural deformation characteristics. The method includes: performing finite element mesh generation on the structure to be optimized, which exhibits spring deformation characteristics, and defining design variables corresponding to the mesh; determining the total strain energy constraint of the structure based on the spring constant and maximum deformation, and establishing a first topology optimization model with the goal of minimizing the total structural volume; performing topology optimization based on the first topology optimization model to obtain the structural configuration and its total volume; setting an upper limit for the total structural volume constraint based on this total volume to construct the total structural volume constraint, while simultaneously using the total strain energy constraint of the first topology optimization model, and establishing a second topology optimization model with the goal of minimizing the p-norm of the local deformation error under external force; and performing topology optimization based on the second topology optimization model to obtain the final structural configuration. This invention is highly versatile, functionally diverse, and precise and efficient.

The utility model discloses a kind of ultra-low temperature storage refrigerators, belong to the technical field of storage refrigerator, including cabinet, door body and base are equipped on cabinet, further include: refrigeration area and control area, all be located in the side of cabinet;Storage area, be located in the other side of cabinet;Pedal, slidingly set in base, the bottom of pedal is provided with rotatable support frame;Transmission mechanism, set on base;In the scheme, storage refrigerator adopts the mode of left and right layout, refrigeration area and control area are in the left and right one side of cabinet, can provide each control module with expandable and operating space, and one side places refrigeration area can fully utilize space;And storage area is located in the other side of cabinet, space utilization is good and distribution is more reasonable;By operating transmission mechanism, pedal in base is stretched out, and support frame will gradually rotate to support pedal, user can step on pedal to take and place article in higher position of storage area, without the aid of tool, can better satisfy humanization demand.

The utility model discloses a kind of efficient energy-saving electric heating pipes, the device includes: pipe body, the pipe body one end is equipped with end cap, the end cap one end is equipped with two lead wires, the pipe body sequentially includes base layer, oxidation resistance layer, reflective heat insulation layer from inside to outside, the base layer inner wall is equipped with evenly distributed heat dissipation rib. The utility model has the advantages that: pipe body is sequentially set base layer, oxidation resistance layer and reflective heat insulation layer from inside to outside, reflective heat insulation layer is like a layer of "heat shield", can efficiently reflect the heat radiated outward in pipe body interior, heat is "intercepted" in pipe, reduce the dissipation of heat to surrounding environment, so that more heat can be concentrated for heating target object;Base layer inner wall is provided with the heat dissipation rib that is distributed in helical shape, this unique helical structure increases the surface area of base layer inner wall, provides more passageway and contact area for heat transfer, effectively reduces energy consumption, meets the environmental protection requirement of energy saving and emission reduction currently.

The application discloses a caterpillar self-propelled rotary cultivator, which comprises a chassis system, a power system, a transmission system and a rotary cultivator device. The chassis system comprises a frame assembly, a walking driving mechanism and a walking caterpillar assembly. The walking driving mechanism comprises a gearbox arranged at the front end of the frame assembly. The walking caterpillar assembly comprises caterpillars arranged at the left and right sides of the frame assembly, a driving wheel drivingly connected with the output end of the gearbox, rear wheels supporting the caterpillars and a plurality of supporting wheels. The power system comprises an engine and a fuel tank. The engine is arranged on the frame assembly and drivingly connected with the output end of the gearbox. The fuel tank is arranged on the frame assembly. The transmission system comprises a PTO transmission box and a rear output transmission shaft. The input end of the PTO transmission box is drivingly connected with the output end of the engine, and the rear output end of the PTO transmission box is connected with the rear output transmission shaft. The rotary cultivator device is arranged at the tail of the chassis system. Compared with the prior art, the application realizes comprehensive improvement in power transmission, structural layout, driving experience and operation adaptability.

The utility model relates to the technical field of industrial enzyme preparation production equipment, and particularly discloses an industrial enzyme preparation test freeze-drying device with circulation guide, which comprises a heat preservation shell, a metal plate and a heat preservation layer are welded and spliced to form a rectangular box body, semiconductor coolers are respectively and fixedly arranged on two sides of the heat preservation shell, and the semiconductor coolers are connected with the heat preservation shell. A sealing cover is placed in an opening in the upper end of the heat preservation shell, and the semiconductor cooler serves as a main refrigeration part of the industrial enzyme preparation test freeze-drying device. According to the industrial enzyme preparation test freeze-drying device with the circulation guiding function, refrigeration is conducted through a semiconductor refrigerator, and cold air is guided by a limiting inner frame, a drainage block and a flow dividing block to form circulation in the heat preservation shell, so that the cold air uniformly acts on an industrial enzyme preparation in a reagent placement frame in a circulation mode; furthermore, each surface of the limiting inner frame is provided with an inclined opening, and the gradient of the inclined opening is aligned with the gradient of the surfaces of the shunting block and the drainage block, so that cold air flows in the device more smoothly.

This invention discloses a collaborative scheduling system and method for driving and charging of connected heavy-duty vehicle clusters, relating to the technical field of intelligent management. The system includes the following steps: calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster; calculating the vehicle cluster's transport capacity and transport efficiency; establishing a first mapping relationship and a second mapping relationship to obtain discrete transport capacity and discrete transport efficiency; matching collaborative vehicles; verifying the collaborative vehicles; and executing a first operation. This invention, by calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster, more accurately predicts and plans the driving and charging needs of vehicles. Based on historical freight data and real-time order information, it allocates vehicle resources more rationally. Through collaborative scheduling, it reduces fuel consumption and electricity costs, reduces vehicle wear and maintenance costs, improves the response capability to emergencies by establishing mapping relationships and discretization analysis, and reduces idle time and improves vehicle utilization efficiency through intelligent scheduling.

The invention discloses a robot collaborative sample preparation and sample storage management and control method and system based on multi-mode intelligent scheduling, and aims to solve the problems of insufficient task priority adjustment, poor collaborative operation capability, poor resource optimization effect and the like in the prior art. According to the method, a multi-agent system architecture is adopted, and dynamic task priority adjustment is realized through a priority evaluation model; collaborative operation of the robot and the equipment is realized through a Control Net protocol; and task scheduling strategy optimization is realized through a reinforcement learning algorithm. According to the method, the sample preparation efficiency can be improved, the resource utilization rate can be optimized, and the high-priority task can be timely completed. The method can be applied to sample preparation and storage processes in industries of coal, minerals and the like.

This invention relates to an AI-based computer network communication data processing system, specifically in the field of computer network communication data processing. It includes a data acquisition module, a data processing module, a resource allocation module, and a feedback control module. The data acquisition module collects old protocol communication scale values, comparison information of old and new protocol data packets, protocol conversion time data, conversion error information, network traffic data, CPU utilization, and memory utilization. The data processing module determines the overall protocol conversion cost based on the evaluation of the protocol conversion, the time adjustment factor for client-server time synchronization, and the resource allocation adjustment coefficient for adjusting the system's allocation to data processing. The resource allocation module adjusts the system's resource allocation according to the resource allocation adjustment coefficient. The feedback control module repeats steps S1-S5 until the error rate reaches 0.05. This invention can dynamically adjust protocol conversion costs, time synchronization, and resource allocation according to changes in the network environment, making the system more efficient in processing communication data.

The invention relates to the technical field of power grid dispatching, in particular to an active-reactive collaborative optimization dispatching method for a power distribution network. Acquiring voltage, active power and power grid line data at the uploading moment of the user side and various monitoring data of the transformer substation in a preset time period; because the user side data and the transformer substation side data are in space-time asymmetry and have measurement blind areas, various data numerical value characteristics are fused and analyzed and compared with the user side voltage, a voltage-power transmission coefficient is determined, an accurate voltage prediction model is constructed, and the voltage prediction value of the user side at each preset moment is obtained; as the time goes on or the photovoltaic fluctuates greatly, the error increases, so that the active power change in the preset time period and the active power difference of the user side at the to-be-measured moment are corrected based on the difference characteristics of the transformer station monitoring data, and the corrected available capacity of the inverter is obtained; and determining an adjustment burden index by combining the voltage predicted value, and finally adjusting the transformer according to an index accumulation condition and the voltage predicted value.

The application discloses a neural network-based electromagnetic field simulation grid self-adaptive generation method. The application performs grid partitioning on a semiconductor device simulation model, obtains original partitioning data, and constructs node features; a non-directed graph is constructed, the graph nodes of which adopt the node features of the grid points, and the connecting edges adopt the Euclidean distances between the grid points and adjacent grid points; the non-directed graph is input into a double-branch neural network, and a predicted node position is output; each node of the original partitioning data is corrected by using the predicted node position obtained by the double-branch neural network, and new partitioning data is formed to perform electromagnetic field simulation. The method can not only efficiently adjust the node density by fusing physical field information, but also strictly maintain the geometric boundary and topological structure characteristics of the device.

The utility model provides a drip irrigation device for a resin flowerpot, which belongs to the technical field of drip irrigation devices and structurally comprises the resin flowerpot, a drip irrigation device is movably inserted on the top surface of the resin flowerpot and comprises a stretching frame, and a first drip irrigation component and a second drip irrigation component are movably sleeved on the left side and the right side of the stretching frame. The first drip irrigation assembly and the second drip irrigation assembly are connected in parallel, a flow regulating valve is connected between the first drip irrigation assembly and the second drip irrigation assembly in parallel, the other end of the flow regulating valve is connected with an external water pipe, and the drip irrigation device for the resin flowerpot is formed. In addition, during drip irrigation, drip irrigation is conducted through the first drip irrigation small holes and the second drip irrigation small holes in an annular arrangement mode, distribution is more reasonable, and practicability is high.

The invention discloses a pain assessment and intervention system, which belongs to the technical field of medical detection and comprises a user interaction module, a monitoring feedback module, a privacy security module, a cache management module, an assessment adjustment module, a comprehensive atlas module, a deep assessment module, an intervention suggestion module and a psychological support module. According to the method, more personalized pain assessment can be realized, the pain problem of a patient can be better managed, the workload of a doctor can be relieved, medical resources can be more reasonably distributed, the comprehensiveness and accuracy of pain assessment are improved, a more complete data basis is provided for comprehensive assessment, a deeper diagnosis basis is provided for the doctor, and the patient experience is improved. And the information related to the pain can be more comprehensively mined.

This application discloses a motor controller and a heat dissipation channel, belonging to the field of heat dissipation technology. The motor controller includes a housing, a cover plate, a partition plate, power devices, and an energy storage device. The housing has a connected receiving cavity and an opening; the cover plate seals the opening; the partition plate is disposed within the receiving cavity to divide the interior of the receiving cavity into a first water channel layer and a second water channel layer, with the first water channel layer located on the side of the second water channel layer facing the cover plate; the power device is disposed on the cover plate and has heat exchange contact with the first water channel layer; the energy storage device is disposed outside the housing and has heat exchange contact with the second water channel layer. Dividing the receiving cavity into the first and second water channel layers by the partition plate, and adopting a layered design, can accommodate the different heat dissipation requirements of the power device and the energy storage device; at the same time, the power device being disposed on the cover plate and the energy storage device being disposed outside the housing makes the heat distribution among the different devices more reasonable, which helps to achieve better thermal balance among the devices and improves the performance stability of the motor controller.

The invention discloses a power distribution network user self-discipline voltage regulation method and system based on responsibility definition, and the method comprises the steps: firstly obtaining a power distribution network topological structure, time-of-use electricity price information and photovoltaic power and load prediction data at a day-ahead stage, and constructing an economic dispatching model with the minimization of system network loss cost and reactive service cost as a target; the decision variables comprise tap gears of an on-load voltage regulating transformer, reactive power output of a power distribution substation and reactive power output of each photovoltaic user, and solving to obtain a day-ahead scheduling scheme; establishing a reference operation state based on the scheme, and establishing a corresponding linearization voltage sensitivity relationship; in the intraday operation stage, the actual active power output of each photovoltaic user is collected, and the node voltage deviation caused by the deviation between the actual photovoltaic power output and the predicted value is calculated by using the node self-sensitivity coefficient; according to the voltage sensitivity relation, reactive compensation amount required for stabilizing the voltage deviation is determined, and quantitative definition of voltage regulation responsibility is achieved; each photovoltaic user autonomously updates the reactive power output to complete the self-discipline regulation, and the distribution network dispatching center monitors whether the operation state after the self-discipline voltage regulation meets the safety operation requirement or not.