32results about How to "Simplify the planning process" patented technology

The invention discloses a multidimensional collaborative power grid planning method which includes the processes: acquiring geographic environmental information data and calculating comprehensive construction cost data by a rasterized map; building a power grid planning model; and calculating the solution of a power grid planning scheme by an optimal ant colony algorithm according to the acquired data and the power grid planning model. The method includes the steps: comprehensively considering substation locating and sizing, line selection and line corridor selection; and building a multidimensional collaborative power grid planning model considering complicated environmental influence. The multidimensional collaborative power grid planning method can accurately consider the influence of environmental factors on power grid planning. Line construction cost calculation precision is improved, and estimation difficulty is reduced. Catalytic elements are generated according to deviation of the local movement direction and the target movement direction of ants, so that the state transition rule of the ants is improved. The construction cost of lines on a mass raster and a substation is full-automatically and rapidly calculated, and calculation precision and efficiency are remarkably improved.

The invention discloses a gait generation and optimization method for a biped robot. The method is characterized in that a gait library of the biped robot is constructed in a finite state machine according to a target pose of the state of the biped robot; mutual switching conditions among all states of the robot are set and triggered; in each state switching process, a joint cubic interpolation method is used for planning the movement track of support legs, and a gauss pseudo-spectral method is used for optimizing the movement track of swing legs; and finally, the gait of the biped robot in different motion modes is generated by the finite state machine. According to the gait generation and optimization method for the biped robot, the constraint of ZMP is not considered, and all the bipedrobots with or without the sole edges of the feet can generate the walking track by the method; and the planning process is simple and operable and is more suitable for online generation, and the biped walking robot can stably walk and finish walking, running, jumping and other actions by matching with a simple control strategy.

The invention relates to a demand response type bus scheduling method. The method comprises the following steps: S1, defining an operation mode of a demand response type bus; S2, based on the operation mode, establishing a demand response type bus deep reinforcement learning model; S3, obtaining training data, and training the demand response type bus deep reinforcement learning model by using thetraining data to obtain a demand response type bus deep reinforcement learning optimization model; and S4, scheduling the demand response type bus based on the demand response type bus deep reinforcement learning optimization model. Compared with the prior art, the modeling and solving process is simple, and the model is easy to migrate and generalize.

The invention relates to a common pilot frequency hopping method in an LTE system, including that frequency hopping offset is limited to be within the minimum of resource units located between two common pilot frequencies on the same orthogonal frequency divided multiplex OFDM symbol when a base station is in frequency hopping on each downlink common pilot frequency of a cell. The frequency hopping method of the invention can avoid collision of common pilot frequencies on different antenna ports of adjacent cells, so that channel estimation of the common pilot frequency obtains more stable frequency hopping gain.

The invention relates to the field of auxiliary systems of management systems, in particular to an auxiliary system of an advanced plan optimal management. The system comprises stock of supplier management; collaborative planning, forecasting and supplying; collaborative supply management; transportation management; direct acquisition; production planning; performance management; and design for success. The system ensures that a supply chain APO can be easily integrated with a supply chain execution system to enable a user to better apply the APO planning function, including an enterprise system and production transportation plan application. Therefore, the user can establish a closed circulating circuit to greatly improve the network functions, and a planning mode for turning a periodic plan to event driven. The user can easily links supply chain management with a non SAP system and other solutions, for example, the supply chain management can be integrated with client relationship management together to verify the usability of a purchased product, simplify the planning process of a promotion activity, and realize synchronization of supply chain running and client requirement.

The invention discloses a formation unmanned aerial vehicle multi-angle strike flight path planning method based on a grid planning algorithm, and belongs to the technical field of flight path autonomous planning. The implementation method comprises the following steps of: explaining and modeling a scene and a problem which need to be planned, designing unmanned aerial vehicle formation members and formation forms, and formulating multi-angle striking schemes of targets with different values; performing position integration on a plurality of suspected targets, performing reconnaissance confirmation, and performing planning based on the grid planning algorithm to obtain flight paths of reconnaissance unmanned aerial vehicles in a formation; and expanding a planning result according to the value information of the targets to obtain a multi-angle strike flight path of the unmanned aerial vehicle formation. According to the method, rapid planning of the multi-angle strike flight path of the formation unmanned aerial vehicles is achieved based on the grid planning algorithm, the autonomous multi-angle strike flight path planning efficiency of the formation unmanned aerial vehicles can be improved, the formation unmanned aerial vehicles can execute multi-angle strike of different schemes on targets with different values; and the method has the advantages of being reliable in flight path point and easy to operate.

The invention relates to an improved unmanned aerial vehicle route planning method based on an artificial potential field method, and belongs to the field of unmanned aerial vehicle route planning. Firstly, modeling is carried out on a three-dimensional terrain and forest environment space, that is, an external environment is divided into a gravitational field area and a repulsion field area, a gravitational field is established with a target point as the center, a repulsion field is established with an obstacle as the center, it is guaranteed that the target point is a global minimum point of a combined potential field, and therefore an unmanned aerial vehicle can reach the target point in the descending direction of the combined potential field. Then, the resultant force borne by the unmanned aerial vehicle at the current moment is calculated in real time through the potential field intensity of the current position, and the unmanned aerial vehicle advances towards the target point under the combined action of the target gravitational field of the unmanned aerial vehicle and the repulsion field around the obstacle. Meanwhile, whether the unmanned aerial vehicle is trapped in the local point is judged, and if yes, the unmanned aerial vehicle jumps out of the local minimum point through a method of updating the sub-target points in time. Finally, the unmanned aerial vehicle arrives at the target point along the optimal path. The method is higher in calculation efficiency and higher in safety.

The invention provides an urban rail transit elevated line planning method and device based on a sound environment, and relates to the technical field of urban rail transit. The method comprises the steps that key parameters are acquired, wherein the key parameters are characteristic parameters obtained after urban rail transit elevated line characteristic simplification, and the key parameters are composed of the train speed, the gallery width, the barrier type and the running density; according to the train noise correction amount, the urban rail transit elevated line is planned, key parameters obtained after complex correction parameter simplification are adopted, and planning workers can conveniently achieve rail transit elevated line planning optimization work.

The invention discloses a travel route determination method and device based on a shared bicycle. The method comprises the following steps: obtaining the travel start point and the travel end point inputted by the user; determining the public transport means available for traveling, wherein the public transport means include the shared bicycle; and determining the travel route according to the travel start point and the travel end point and the information corresponding to the shared bicycle. The technical problem in the related technology that route planning is tedious under the condition that the user selects the combined public transport means including the shared bicycle as the travel means and the travel experience of the user decreases can be solved.

The invention discloses an oil consumption, driving track and safe driving integrated remote monitoring system. The system comprises a vehicle speed monitoring module, an oil consumption acquisition module, a driving track monitoring module, an inclination angle sensor, an RSM3485, a storage module, an MCU module, a GPS positioning module and a background server. The system takes measurement of the actual fuel consumption of an engine as a fuel consumption basis, so that the behavior of stealing fuel from a fuel tank or the behavior of falsely opening a refueling bill has no significance, andthe actual fuel consumption condition can be conveniently read through a fuel consumption display screen or a background monitoring terminal.

A technique for encoding downlink Hybrid Automatic Repeat Request, HARQ, feedback information in a mobile station supporting aggregated component carriers is provided. A method implementation of this technique comprises the steps of obtaining (302) first HARQ feedback indicators providing information regarding receipt of Physical Downlink Control Channels, PDCCH, for activated component carriers, obtaining (304) second HARQ feedback indicators providing information regarding decoding of Physical Downlink Shared Channels, PDSCH, codewords carried by the component carriers, encoding (306) the first HARQ feedback indicators into a first coded part, and encoding (308) the first HARQ feedback indicators into a second coded part, wherein the first and the second HARQ feedback indicators are encoded separate from each other.

The invention provides a method and device for establishing a BGP peer, the method is applied to a first router, a first interface included in the first router is directly connected with a second interface included in a second router, and the method comprises the following steps: configuring the first interface as a BGP peer interface; and when a first free ARP message sent by the second interfaceis received through the first interface, establishing the BGP peer with the second router according to the first free ARP message.

The oil content of at least two kinematic modules (1) in different axes of the industrial robot is connected by the oil line (2) to the closed circuit of the oil between interconnected kinematic modules (1). In preferred arrangement, the system includes the pump (3) engaged in pushing the oil in the upper-mounted kinematic module (1) and also the filtration device (4) for filtering the oil in the circulating circuit or in a separate circuit with the oil tank (9). The system may also include at least one diagnostic element (5), for example an oil temperature sensor or an oil pressure sensor or an oil pollution sensor connected to the evaluation unit (6). The evaluation unit (6) can be interconnected with the industrial robot control system, whereby the oil economy is controlled and planned depending on the actual load of the individual kinematic modules (1). By this arrangement, you can achieve the condition in which the oil from the kinematic module (1) circulates in shared circulation with the oil from another kinematic module (1), whereas the oil gets purified through the filter device (4) by using the pump (3).

The invention relates to a humanoid robot control method which comprises the steps: mapping posture information corresponding to human leg joints to humanoid robot leg joint steering engines, the leg joint steering engines comprising a non-target optimization joint steering engine and target an optimization joint steering engine; obtaining an expected rotation angle and an expected rotation angular velocity corresponding to the non-target optimization joint steering engine and an expected rotation angle and an expected rotation angular velocity corresponding to the target optimization joint steering engine; establishing an optimization target function corresponding to the target optimization joint steering engine; optimizing the expected rotation angle and the expected rotation angular velocity of the target optimized joint steering engine according to the optimized target function to obtain a corrected expected rotation angle and a corrected expected rotation angular velocity corresponding to the target optimized joint steering engine; and according to the expected rotation angle and the expected rotation angular velocity corresponding to the non-target optimization joint steering engine and the corrected expected rotation angle and the corrected expected rotation angular velocity corresponding to the target optimization joint steering engine, controlling each joint steering engine of the legs of the humanoid robot.

The oil content of at least two kinematic modules (1) in different axes of the industrial robot is connected by the oil line (2) to the closed circuit of the oil between interconnected kinematic modules (1). In preferred arrangement, the system includes the pump (3) engaged in pushing the oil in the upper-mounted kinematic module (1) and also the filtration device (4) for filtering the oil in thecirculating circuit or in a separate circuit with the oil tank (9). The system may also include at least one diagnostic element (5), for example an oil temperature sensor or an oil pressure sensor oran oil pollution sensor connected to the evaluation unit (6). The evaluation unit (6) can be interconnected with the industrial robot control system, whereby the oil economy is controlled and planneddepending on the actual load of the individual kinematic modules (1). By this arrangement, you can achieve the condition in which the oil from the kinematic module (1) circulates in shared circulationwith the oil from another kinematic module (1), whereas the oil gets purified through the filter device (4) by using the pump (3).