291results about How to "Reduce idling" patented technology

The invention relates to a cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom. The cloud system structure pre-warning system comprises a monitoring cloud module, an information cloud module, an application supporting module, a water bloom pre-warning module and a discussion decision-making module. The monitoring cloud module is composed of a field information collecting unit and an operation communication unit, storage media of the information cloud module are composed of movable distributed storage station nets combined fixedly, the application supporting module is composed of a basic supporting unit, an application customization unit, a data cooperation unit and an emergency response module, the water bloom pre-warning module is composed of a risk analysis unit and a pre-warning and forecasting unit, and the discussion decision-making module is used for achieving decision-making discussion and information sharing communication in a cloud environment. The cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom achieve seamless linkage and operation control over the modules based on a cloud system structure, carry out all-weather monitoring, cloud storage and water bloom risk pre-warning on the inducing factors of the riverway type reservoir tributary bay water bloom and water bloom biochemical properties, and provide a new measure based on the cloud system structure for preventing and reducing water bloom events.

The present invention discloses a game based cloud computation resource allocation method and system. According to the method and system, game balance is introduced, so that interests of a user and a resource provider are taken into full consideration, and corresponding incentives are provided for the user and the resource provider, so as to improve the trade satisfaction of the user and the resource provider; a combined bidirectional auction mechanism is applied to a cloud resource allocation process, thereby effectively solving the problem that one party is monopolistic in cloud resource transaction, and meeting diversified cloud computation resource requirements; an allocation solution is optimized in the final allocation process; while interests of both the user and the resource provider are met, the closest offer and charge are sought so as to complete the transaction; multiple transactions are completed, so that auction number of times are greatly reduced, auction time is reduced, the cloud resource utilization ratio is improved to a greatest extent while both the user and the resource provider are satisfied with the cloud resource allocation solution, the cloud resource allocation system achieves resource load balance through resource dispatching management, idle resources are reduced and resource allocation is optimized.

The present invention discloses a system and a method for intelligent reservation of district temporary parking stalls. The system comprises: a mobile phone client used for parking stall reservation,reservation cancel, route guidance and expense payment operation; a license plate identification module configured to collect and identify information of a reservation vehicle; a gateway control module configured to control closure and opening of a district gateway; and a background management server comprising a parking stall information collection module, a user behavior data collection module and a payment management module, wherein the parking stall information collection module is configured to collect and update usage states of parking stalls in each district to form a parking stall information database, the user behavior data collection module configured to record users' daily trips, reservation time, parking time periods and parking duration to form a user behavior database, the payment management module is configured to calculate cost generated by user parking and user credit grade evaluation, and the mobile phone client, the parking stall information collection module and thelicense plate identification module are connected with the background management server.

The invention relates to the field of freight logistics application, specifically discloses a freight logistics application method based on a block chain and is to solve the problem of large data evidence collection difficulty in the later freight logistics link caused since all links in the freight logistics process are mutually independent, and data cannot be shared. The method is characterized by collecting freight logistics object data and establishing sub-block chains, and combining the sub-block chains to establish a block chain platform, thereby realizing trustworthy data sharing in the whole freight logistics process, enabling the data in the later freight logistics process to be scheduled, used and obtained for evidence as needed, and further promoting intelligent development of freight logistics application.

The invention discloses a processing granular-form green tea, a stripe bud-type green tea and a circulated stir frying-type green tea multifunctional production line. According to the tea raw materials and different requirements, the production line can control the system to select different types of processing parameters, three types of the tea leaves can be processed; wherein a granular-form green tea processing technology comprises the following steps: 1) tedding; 2) deactivating enzymes; 3) cooling by spreading for moisture regaining, 4) rolling; 5) deblocking with hot air; 6) cooling; 7) processing of shaping by curves, 8) cooling by spreading for moisture regaining, 9) processing of shaping by curves, 10) drying, and 11) winnowing; a stripe bud-type green tea processing technology comprises the following steps: 1) tedding; 2) deactivating enzymes; 3) cooling; 4) continuous carding; 5) cooling; 6) continuous carding and flattening; 7) cooling; 8) completely drying; and 9) winnowing; and a circulated stir frying-type green tea processing technology comprises the following steps: 1) tedding; 2) deactivating enzymes; 3) cooling by spreading for moisture regaining, 4) rolling; 5) deblocking with hot air; 6) cooling; 7) performing stir-frying, 8) cooling by spreading for moisture regaining, 9) continuously drying; 10) completely drying; and 11) winnowing.

The invention discloses a task scheduling algorithm for cost perception under cloud environment, relates to the application field of distributed data management, cloud computing and the like, and provides a universal task scheduling method. Both interactive tasks and analysis tasks can be processed, and it is ensured that the cost is the minimum in the task processing process. The method comprisesthe steps of receiving all tasks submitted by a user, and adding the tasks into a task queue; combining a waiting queue to the task queue, and emptying the waiting queue; according to the task type,calculating resources needed by the tasks in the task queue; according to the requirement for the resources, ranking all the tasks in the task queue from more to less; scheduling the ranked tasks oneby one. The unified scheduling algorithm is provided for scheduling the interactive tasks and the general analysis tasks, and the user's satisfaction and task processing throughput are improved.

The invention relates to a vertical axis wind power generating device and a fan blade angle automatic regulation mechanism thereof; the vertical axis wind power generating device comprises a plurality of fan blades, a fan blade supporting tray, an input axis, a transmission mechanism between the fan blade supporting tray and the input axis and is characterized in that the vertical axis wind power generating device also comprises the fan blade angle automatic regulation mechanism which comprises a plurality of rotating frames, a crank axis, an eccentric axis, an eccentric connecting tray, a wind rudder, and a plurality of fan blade draw bars, wherein the outer side of each rotating frame is articulated with the back of the corresponding fan blade and the inner side is fixed on the fan blade supporting tray; the crank axis is relatively and rotatably connected with the input axis and coaxial with the input axis; the eccentric axis which is relative to the axis center of the crank axis is eccentrically and fixedly arranged on the crank axis; the eccentric connecting tray is rotatably arranged on the eccentric axis; the wind rudder is fixedly arranged on the eccentric axis; and the outer end of each fan blade draw bar is rotatably connected with the corresponding fan blade and the inner end is rotatably connected with the eccentric connecting tray.

A window regulator (1) comprises a drive gear that is attached to a drive motor (4), a pliable push-pull member (6) with an open end that engages with the drive gear and is push-pulled by the two-way rotation of the drive gear, a carrier (7) that connects to one end side of the push-pull member (6) and connects to a window pane, and a guiderail (8) that guides the push-pull member (6) and the carrier (7) in a drive route (R1), wherein a frame (9) is provided in which a means of fixedly supporting the drive motor (4), a means of fixedly supporting the guiderail (8), a means of retaining the path of the push-pull member (6) in an idling route (R2), and a means of attaching to an object to be attached, are integrally formed.

The invention discloses an intelligent logistics stowage method. The method comprises the steps that the information of commodity supply to be stowed is input into a logistics stowage information platform; after the freight of the commodity supply to be stowed is received, a stowage processing module is started; logistics vehicles meeting stowage conditions are determined and calculated; the logistics vehicles meeting the stowage conditions around the place of the commodity supply to be stowed are queried; according to the sequence from near to far, satellite radio with stowage invitation information or 3G/4G short messages are sent in turn until the logistics vehicles respond to commitment; according to the commitment information returned by the logistics vehicles, a stowage contract is formed; the optimal freight scheme and freight navigation information are sent to the logistics vehicles; after the stowed commodity supply is sent to a destination, related vouchers are transferred to a logistics platform; and automatic stowage freight charging is realized. According to the invention, through the interaction between a logistics vehicle terminal and the logistics stowage information platform, the vehicles which are the most suitable for loading the commodity can be quickly found to realize electronic intelligent stowage; the logistics delivery efficiency is improved; and the logistics cost is reduced.

The invention relates to a capsule production line which comprises at least two support plates for fixing capsule plates. The support plates are driven to overturn by rotating shafts and respectively provided with two capsule plate fastening grooves on the surface, one end of each capsule plate fastening groove is open and the other end of each capsule plate fastening groove is closed. The open ends are opened and closed through opening and closing devices. The two capsule plate fastening grooves are arranged on the same surface of each support plate, are parallel and provided with openings in opposite directions. The support plate bodies on two sides are fixedly connected with the rotating shafts, the capsule plate fastening grooves are arranged on the opposite surfaces of the support plate bodies, a transmission shaft is rotationally connected with each support plate body or penetrates through the support plate bodies, and the support plate bodies are fixedly connected through connecting shafts. The capsule production line is capable of stably fixing the capsule plates in the capsule plate fastening grooves, simple in structure and free of idle rotation.

The present invention relates to a direct memory access (DMA) device and method. DMA device includes control register, data bus, address bus, parameter RAM and at least a working engine. The parameter RAM can be divided into several entries, every entry and data bus, address bus and working engine are formed into a data channel together. The working engine includes data transmission unit, address computing unit and global address memory. Said invention also provides the concrete steps of DMA method.

The invention discloses a vehicle scheduling method and device based on a scheduling model, computer equipment and a storage medium. The method comprises the following steps: obtaining the specific dimension data of each putting point, and enabling the specific dimension data to comprise vehicle operation data and position data, and enabling the vehicle operation data to comprise the borrowing amount; calculating optimization data according to the specific dimension data and a pre-constructed vehicle scheduling model, the vehicle scheduling model taking a vehicle rental demand and a vehicle rental income as optimization objectives; and a vehicle scheduling strategy is generated according to the optimization data, and the vehicle scheduling strategy comprises the change number of the vehicle putting amount of each putting point. The invention provides a vehicle scheduling method and device based on a scheduling model, computer equipment and a storage medium. By combining the pre-constructed vehicle scheduling model with the operation data and the position data of the vehicle putting point, an optimized putting strategy is generated, the utilization rate of the put vehicle can be improved in an assisted mode, idleness is reduced, convenience is brought to vehicle rental of a user, and enterprise benefits are improved.

The invention discloses an AGV intelligent scheduling method for an automatic container wharf. The method comprises the following steps of constructing an AGV scheduling model by taking a bay and a box area as nodes and taking the distance between the box area and the bay with a scheduling task relationship as an edge, and solving an AGV optimal path by adopting a genetic algorithm by taking the minimum value of the constructed AGV scheduling model as an objective function. Under the condition that the number of AGVs is limited, a path optimization model capable of increasing AGV utilization rate as much as possible is given. AGV path planning can be carried out according to the operation state and the expected operation time of the AGVs based on the model, AGV path optimization with the shortest invalid operation time is achieved, and idle driving and waiting time of the AGVs can be more effectively shortened. AGV paths are calculated in a real-time manner and optimized by adopting agenetic algorithm according to the transition of positions and time of containers of the loading and unloading ship, good global calculation performance is achieved, and the calculation process can beeffectively prevented from being converged to a local optimal solution.

The invention belongs to the technical field of power system intelligent control, and especially relates to a power system fault automatic order-sending monitoring method and system. The power systemfault automatic order-sending monitoring method comprises following steps: a step A of connecting a system host with an internal personnel system; a step B of obtaining information including fault time, the fault place and approximate symptom identification and the like from the system host, and sending orders according to the top three of a priority sequence set in the personnel system interior;a step C of calling to maintenance men for maintain the personnel system interior in the system interior, sending orders according to the priority sequence set in the personnel system interior, and pushing the fault place and the approximate symptom to a mobile terminal of a most appropriate operation and maintenance man through a GSM-SM modem and an APP. According to the invention, power system maintenance automatic order-sending combines a power on-line monitoring system, multiple conditions including the people distribution condition and the fault emergency situation and the like are maintained according to the system interior material condition, and work orders are distributed to three maintenance men meeting the condition intelligently through devices such as the mobile phone APP andthe GSM-SM modem.

The invention discloses a cloud system memory data processing method, device and equipment and a storage medium. The method comprises the following steps: detecting whether each piece of data in a first virtual machine memory currently meets a transfer condition or not; transferring the first data meeting the transferring condition to a preset storage area so as to enable the memory space where the first data is located to be in an idle state; obtaining second data to be cached; and writing the second data into the memory space. According to the method, the capacity of the memory resources ofthe virtual machine is expanded by utilizing the preset storage area, when the data meeting the unloading condition exists in the memory of the virtual machine, the data meeting the unloading requirement can be unloaded to a preset storage area. The virtual machine can have enough memory resources to perform other processing operations, so that idle memory resources on the virtual machine are reduced, the utilization rate of the memory resources in a cloud system is improved, the use requirements of the memory resources of the virtual machine can be met, and the use experience of a user is effectively improved.

The invention relates to a secondary fast forming machine for a sole material. The secondary fast forming machine for the sole material comprises a mold for containing the sole material, a heating mold station for heating the mold, and a first cooling mold station for cooling the mold and further comprises a second cooling mold station for cooling the mold; the first cooling mold station and the second cooling mold station are arranged on the two sides of the heating mold station; the mold comprises a first mold body corresponding to the first cooling mold station and a second mold body corresponding to the second cooling mold station; an automatic transferring mechanism is further included; the first mold body can be arranged on the automatic transferring mechanism in the manner that the first mold body moves between the first cooling mold station and the heating mold station; and the second mold body can be arranged on the automatic transferring mechanism in the manner that the second mold body moves between the second cooling mold station and the heating mold station. The forming machine can greatly improve the work environment of an operator, relieve the workloads of the operator and achieve automatic forming of soles; and meanwhile the energy utilizing rate is increased, and efficient, energy-saving, environment-friendly and reasonable energy transmission is achieved.

The embodiment of the invention discloses a method, device and system for distributing user bandwidth in Internet protocol television (IPTV). The method for distributing user bandwidth in IPTV comprises the following steps of: receiving a service request sent by user equipment; judging whether the required bandwidth of a service in the service request surpasses the current access bandwidth of the user equipment; if the required bandwidth of the service surpasses the current access bandwidth of the user equipment, sending a request on distributing the required bandwidth of the service to network access equipment; and receiving the bandwidth distributed by the network access equipment according to the request on distributing the required bandwidth of the service. By adopting the scheme, distribution of a large quantity of fixed-bandwidth resources to each IPTV user is not required, so that idling of the bandwidth resources can be reduced effectively and flexible distribution of the overall bandwidth resource of the system is realized. Under the condition that the overall bandwidth resource is not changed, services of higher levels can be realized or the user capacity of an IPTV system is further increased.

The invention discloses an uninterrupted reciprocating type flexible line length unmanned bus optimization method, which comprises the steps that passengers propose bus travel demands, and the demandscomprise a getting-on station, a getting-off station and time information of arriving at the getting-on station; a passenger travel demand received in a time period and the current running state of the unmanned bus are obtained; a stop plan and a turn-around position of an unmanned bus are determined according to a flexible bus model to obtain an optimal driving route and realize minimum travel time of all passengers, and the travel time of the passengers comprises waiting time and riding time; and the unmanned bus executes the optimal driving route and responds to the travel demand of the passenger. According to the invention, in low-density areas and non-commuting periods, the driving scheme can be adjusted according to passenger requirements. The situations of unoccupied driving and too low load factor are reduced. The bus operation cost is reduced, and the problems of low service efficiency and resource waste of the traditional fixed bus when the passenger requirements are low aresolved.

The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a management apparatus that uses the list to classify an incoming packet to the electronic device as a solicited incoming packet or an unsolicited incoming packet. If the incoming packet is classified as the solicited incoming packet, the management apparatus enables subsequent processing of the incoming packet on the electronic device. If the incoming packet is classified as the unsolicited incoming packet, the management apparatus adjusts a triggering of radio dormancy in the electronic device based on the incoming packet.

The invention relates to a power daily load characteristic indicator prediction method. The method includes: selecting or setting certain industries as typical industries, and selecting or setting certain residential users as typical users; regularly or irregularly collecting power consumption load data of the typical industries and the typical users for a plurality of times, acquiring power consumption daily load characteristic indicators of the typical industries and the typical users of each time by induction and reorganization, and drawing a daily load curve; building a prediction model of departmental load characteristic indicators and whole-system load characteristic indicators, acquiring changing tendency of household power consumption of the typical industries and the residential users according to the daily load curve to acquire predication values of daily load rate and minimum daily load rate. By the power daily load characteristic indicator prediction method, load characteristic changing rule and tendency can be accurately known, scientificity and accuracy in power market analysis prediction are improved, and strength in supporting work like power grid programming, planning and production running.

The invention relates to a tag anti-collision method based on a self-adaptive hybrid query tree in an RFID (radio frequency identification) system. The tag anti-collision method includes firstly, establishing a binary-to-ternary conversion method for electronic product codes (EPCs) of electronic tags, secondly, providing a method for constructing a ternary query tree to identify the tags, thirdly, valuing according to lengths of the EPCs to construct the hybrid query tree method to solve the problem of coexistence of a binary tree and a ternary tree, and finally, setting entry and departure mechanisms to acquire the tag anti-collision method of the self-adaptive hybrid query tree according to mobility of the tags. The tag anti-collision method based on the self-adaptive hybrid query tree in the RFID (radio frequency identification) system has the advantages that the ternary tree method has optimized performance in the tag anti-collision method based on a tree structure, the problem that complete ternary conversion of the EPCs fails is solved, the difficulty in identifying the moving tags is overcome, time delay of identification is shortened well, and the colliding and idling processes are reduced. In addition, the tag anti-collision method is suitable for RFID scenes with large-scale movable tags.